id	sid	tid	token	lemma	pos
sc-1145	1	1	a	a	DET
sc-1145	1	2	case	case	NOUN
sc-1145	1	3	based	base	VERB
sc-1145	1	4	reasoning	reasoning	NOUN
sc-1145	1	5	coupling	couple	VERB
sc-1145	1	6	multi	multi	ADJ
sc-1145	1	7	-	-	ADJ
sc-1145	1	8	criteria	criterion	NOUN
sc-1145	1	9	decision	decision	NOUN
sc-1145	1	10	making	make	VERB
sc-1145	1	11	with	with	ADP
sc-1145	1	12	learning	learning	NOUN
sc-1145	1	13	and	and	CCONJ
sc-1145	1	14	optimization	optimization	NOUN
sc-1145	1	15	intelligences	intelligence	NOUN
sc-1145	1	16	:	:	PUNCT
sc-1145	1	17	application	application	NOUN
sc-1145	1	18	to	to	ADP
sc-1145	1	19	energy	energy	NOUN
sc-1145	1	20	consumption	consumption	NOUN
sc-1145	1	21	a	a	DET
sc-1145	1	22	case	case	NOUN
sc-1145	1	23	based	base	VERB
sc-1145	1	24	reasoning	reasoning	NOUN
sc-1145	1	25	coupling	couple	VERB
sc-1145	1	26	multi	multi	ADJ
sc-1145	1	27	-	-	ADJ
sc-1145	1	28	criteria	criterion	NOUN
sc-1145	1	29	decision	decision	NOUN
sc-1145	1	30	making	make	VERB
sc-1145	1	31	with	with	ADP
sc-1145	1	32	learning	learning	NOUN
sc-1145	1	33	and	and	CCONJ
sc-1145	1	34	optimization	optimization	NOUN
sc-1145	1	35	intelligences	intelligence	NOUN
sc-1145	1	36	:	:	PUNCT
sc-1145	1	37	application	application	NOUN
sc-1145	1	38	to	to	ADP
sc-1145	1	39	energy	energy	NOUN
sc-1145	1	40	consumption	consumption	NOUN
sc-1145	1	41	naomi	naomi	PROPN
sc-1145	1	42	dassi	dassi	PROPN
sc-1145	1	43	tchomté1,∗	tchomté1,∗	PROPN
sc-1145	1	44	,	,	PUNCT
sc-1145	1	45	sohail	sohail	PROPN
sc-1145	1	46	asghar2	asghar2	PROPN
sc-1145	1	47	,	,	PUNCT
sc-1145	1	48	nadeem	nadeem	PROPN
sc-1145	1	49	javaid2	javaid2	PROPN
sc-1145	1	50	,	,	PUNCT
sc-1145	1	51	paul	paul	PROPN
sc-1145	1	52	dayang1	dayang1	PROPN
sc-1145	1	53	,	,	PUNCT
sc-1145	1	54	duplex	duplex	NOUN
sc-1145	1	55	elvis	elvis	PROPN
sc-1145	1	56	houpa	houpa	ADJ
sc-1145	1	57	danga1	danga1	NOUN
sc-1145	1	58	,	,	PUNCT
sc-1145	1	59	dieudoné	dieudoné	VERB
sc-1145	1	60	lucien	lucien	PROPN
sc-1145	1	61	bitom	bitom	PROPN
sc-1145	1	62	oyono3	oyono3	PROPN
sc-1145	1	63	1mathematics	1mathematics	NUM
sc-1145	1	64	and	and	CCONJ
sc-1145	1	65	computer	computer	NOUN
sc-1145	1	66	science	science	NOUN
sc-1145	1	67	,	,	PUNCT
sc-1145	1	68	faculty	faculty	NOUN
sc-1145	1	69	of	of	ADP
sc-1145	1	70	science	science	NOUN
sc-1145	1	71	,	,	PUNCT
sc-1145	1	72	university	university	NOUN
sc-1145	1	73	of	of	ADP
sc-1145	1	74	ngaoundéré	ngaoundéré	PROPN
sc-1145	1	75	,	,	PUNCT
sc-1145	1	76	cameroon	cameroon	PROPN
sc-1145	1	77	2department	2department	NUM
sc-1145	1	78	of	of	ADP
sc-1145	1	79	computer	computer	NOUN
sc-1145	1	80	science	science	NOUN
sc-1145	1	81	,	,	PUNCT
sc-1145	1	82	comsats	comsats	PROPN
sc-1145	1	83	university	university	PROPN
sc-1145	1	84	islamabad	islamabad	NOUN
sc-1145	1	85	,	,	PUNCT
sc-1145	1	86	pakistan	pakistan	PROPN
sc-1145	1	87	3faculty	3faculty	NUM
sc-1145	1	88	of	of	ADP
sc-1145	1	89	agronomy	agronomy	NOUN
sc-1145	1	90	and	and	CCONJ
sc-1145	1	91	agricultural	agricultural	ADJ
sc-1145	1	92	sciences	science	NOUN
sc-1145	1	93	,	,	PUNCT
sc-1145	1	94	university	university	NOUN
sc-1145	1	95	of	of	ADP
sc-1145	1	96	dschang	dschang	PROPN
sc-1145	1	97	,	,	PUNCT
sc-1145	1	98	cameroon	cameroon	PROPN
sc-1145	1	99	abstract	abstract	ADJ
sc-1145	1	100	optimization	optimization	NOUN
sc-1145	1	101	energy	energy	NOUN
sc-1145	1	102	is	be	AUX
sc-1145	1	103	a	a	DET
sc-1145	1	104	technique	technique	NOUN
sc-1145	1	105	helpful	helpful	ADJ
sc-1145	1	106	to	to	PART
sc-1145	1	107	manage	manage	VERB
sc-1145	1	108	electricity	electricity	NOUN
sc-1145	1	109	consumption	consumption	NOUN
sc-1145	1	110	of	of	ADP
sc-1145	1	111	home	home	NOUN
sc-1145	1	112	devices	device	NOUN
sc-1145	1	113	according	accord	VERB
sc-1145	1	114	to	to	ADP
sc-1145	1	115	the	the	DET
sc-1145	1	116	electric	electric	ADJ
sc-1145	1	117	system	system	NOUN
sc-1145	1	118	.	.	PUNCT
sc-1145	2	1	cbr	cbr	NOUN
sc-1145	2	2	is	be	AUX
sc-1145	2	3	used	use	VERB
sc-1145	2	4	to	to	PART
sc-1145	2	5	predict	predict	VERB
sc-1145	2	6	consumption	consumption	NOUN
sc-1145	2	7	but	but	CCONJ
sc-1145	2	8	lacks	lack	VERB
sc-1145	2	9	to	to	PART
sc-1145	2	10	be	be	AUX
sc-1145	2	11	generic	generic	ADJ
sc-1145	2	12	.	.	PUNCT
sc-1145	3	1	this	this	DET
sc-1145	3	2	paper	paper	NOUN
sc-1145	3	3	intends	intend	VERB
sc-1145	3	4	to	to	PART
sc-1145	3	5	design	design	VERB
sc-1145	3	6	a	a	DET
sc-1145	3	7	more	more	ADV
sc-1145	3	8	generic	generic	ADJ
sc-1145	3	9	cbr	cbr	NOUN
sc-1145	3	10	approach	approach	NOUN
sc-1145	3	11	by	by	ADP
sc-1145	3	12	relying	rely	VERB
sc-1145	3	13	on	on	ADP
sc-1145	3	14	various	various	ADJ
sc-1145	3	15	intelligences	intelligence	NOUN
sc-1145	3	16	.	.	PUNCT
sc-1145	4	1	the	the	DET
sc-1145	4	2	retrieve	retrieve	NOUN
sc-1145	4	3	process	process	NOUN
sc-1145	4	4	includes	include	VERB
sc-1145	4	5	four	four	NUM
sc-1145	4	6	steps	step	NOUN
sc-1145	4	7	.	.	PUNCT
sc-1145	5	1	the	the	DET
sc-1145	5	2	first	first	ADJ
sc-1145	5	3	step	step	NOUN
sc-1145	5	4	is	be	AUX
sc-1145	5	5	weight	weight	NOUN
sc-1145	5	6	evaluation	evaluation	NOUN
sc-1145	5	7	of	of	ADP
sc-1145	5	8	attributes	attribute	NOUN
sc-1145	5	9	based	base	VERB
sc-1145	5	10	on	on	ADP
sc-1145	5	11	ahp	ahp	PROPN
sc-1145	5	12	.	.	PUNCT
sc-1145	6	1	the	the	DET
sc-1145	6	2	second	second	ADJ
sc-1145	6	3	step	step	NOUN
sc-1145	6	4	exploits	exploit	VERB
sc-1145	6	5	an	an	DET
sc-1145	6	6	adapted	adapted	ADJ
sc-1145	6	7	cosine	cosine	NOUN
sc-1145	6	8	model	model	NOUN
sc-1145	6	9	for	for	ADP
sc-1145	6	10	distance	distance	NOUN
sc-1145	6	11	similarity	similarity	NOUN
sc-1145	6	12	.	.	PUNCT
sc-1145	7	1	the	the	DET
sc-1145	7	2	third	third	ADJ
sc-1145	7	3	and	and	CCONJ
sc-1145	7	4	fourth	fourth	ADJ
sc-1145	7	5	steps	step	NOUN
sc-1145	7	6	use	use	VERB
sc-1145	7	7	k	k	NOUN
sc-1145	7	8	-	-	PUNCT
sc-1145	7	9	means	mean	NOUN
sc-1145	7	10	and	and	CCONJ
sc-1145	7	11	k	k	PROPN
sc-1145	7	12	-	-	PUNCT
sc-1145	7	13	nn	nn	PROPN
sc-1145	7	14	to	to	PART
sc-1145	7	15	identify	identify	VERB
sc-1145	7	16	the	the	DET
sc-1145	7	17	most	most	ADV
sc-1145	7	18	similar	similar	ADJ
sc-1145	7	19	cases	case	NOUN
sc-1145	7	20	.	.	PUNCT
sc-1145	8	1	the	the	DET
sc-1145	8	2	reuse	reuse	NOUN
sc-1145	8	3	process	process	NOUN
sc-1145	8	4	is	be	AUX
sc-1145	8	5	defined	define	VERB
sc-1145	8	6	as	as	ADP
sc-1145	8	7	a	a	DET
sc-1145	8	8	linear	linear	ADJ
sc-1145	8	9	programming	programming	NOUN
sc-1145	8	10	problem	problem	NOUN
sc-1145	8	11	solved	solve	VERB
sc-1145	8	12	by	by	ADP
sc-1145	8	13	pso	pso	NOUN
sc-1145	8	14	.	.	PUNCT
sc-1145	9	1	during	during	ADP
sc-1145	9	2	revise	revise	PROPN
sc-1145	9	3	,	,	PUNCT
sc-1145	9	4	an	an	DET
sc-1145	9	5	algorithm	algorithm	NOUN
sc-1145	9	6	based	base	VERB
sc-1145	9	7	on	on	ADP
sc-1145	9	8	the	the	DET
sc-1145	9	9	reuse	reuse	NOUN
sc-1145	9	10	model	model	NOUN
sc-1145	9	11	and	and	CCONJ
sc-1145	9	12	svr	svr	PROPN
sc-1145	9	13	,	,	PUNCT
sc-1145	9	14	derives	derive	VERB
sc-1145	9	15	the	the	DET
sc-1145	9	16	revised	revise	VERB
sc-1145	9	17	solution	solution	NOUN
sc-1145	9	18	.	.	PUNCT
sc-1145	10	1	experiments	experiment	NOUN
sc-1145	10	2	on	on	ADP
sc-1145	10	3	a	a	DET
sc-1145	10	4	dataset	dataset	NOUN
sc-1145	10	5	of	of	ADP
sc-1145	10	6	1096	1096	NUM
sc-1145	10	7	samples	sample	NOUN
sc-1145	10	8	are	be	AUX
sc-1145	10	9	made	make	VERB
sc-1145	10	10	for	for	ADP
sc-1145	10	11	forecasting	forecast	VERB
sc-1145	10	12	energy	energy	NOUN
sc-1145	10	13	electricity	electricity	NOUN
sc-1145	10	14	consumption	consumption	NOUN
sc-1145	10	15	.	.	PUNCT
sc-1145	11	1	cbr	cbr	PROPN
sc-1145	11	2	revise	revise	PROPN
sc-1145	11	3	process	process	NOUN
sc-1145	11	4	is	be	AUX
sc-1145	11	5	99.35	99.35	NUM
sc-1145	11	6	%	%	NOUN
sc-1145	11	7	accurate	accurate	ADJ
sc-1145	11	8	,	,	PUNCT
sc-1145	11	9	improving	improve	VERB
sc-1145	11	10	the	the	DET
sc-1145	11	11	reuse	reuse	NOUN
sc-1145	11	12	accuracy	accuracy	NOUN
sc-1145	11	13	by	by	ADP
sc-1145	11	14	11	11	NUM
sc-1145	11	15	%	%	NOUN
sc-1145	11	16	.	.	PUNCT
sc-1145	12	1	the	the	DET
sc-1145	12	2	proposed	propose	VERB
sc-1145	12	3	architecture	architecture	NOUN
sc-1145	12	4	is	be	AUX
sc-1145	12	5	a	a	DET
sc-1145	12	6	potential	potential	NOUN
sc-1145	12	7	in	in	ADP
sc-1145	12	8	energy	energy	NOUN
sc-1145	12	9	management	management	NOUN
sc-1145	12	10	as	as	ADV
sc-1145	12	11	well	well	ADV
sc-1145	12	12	as	as	ADP
sc-1145	12	13	for	for	ADP
sc-1145	12	14	other	other	ADJ
sc-1145	12	15	prediction	prediction	NOUN
sc-1145	12	16	problems	problem	NOUN
sc-1145	12	17	.	.	PUNCT
sc-1145	13	1	received	receive	VERB
sc-1145	13	2	on	on	ADP
sc-1145	13	3	07	07	NUM
sc-1145	13	4	july	july	PROPN
sc-1145	13	5	2019	2019	NUM
sc-1145	13	6	;	;	PUNCT
sc-1145	13	7	accepted	accept	VERB
sc-1145	13	8	on	on	ADP
sc-1145	13	9	25	25	NUM
sc-1145	13	10	november	november	PROPN
sc-1145	13	11	2019	2019	NUM
sc-1145	13	12	;	;	PUNCT
sc-1145	13	13	published	publish	VERB
sc-1145	13	14	on	on	ADP
sc-1145	13	15	19	19	NUM
sc-1145	13	16	december	december	PROPN
sc-1145	13	17	2019	2019	NUM
sc-1145	13	18	keywords	keyword	NOUN
sc-1145	13	19	:	:	PUNCT
sc-1145	13	20	ahp	ahp	PROPN
sc-1145	13	21	,	,	PUNCT
sc-1145	13	22	cbr	cbr	PROPN
sc-1145	13	23	,	,	PUNCT
sc-1145	13	24	forecasting	forecasting	NOUN
sc-1145	13	25	,	,	PUNCT
sc-1145	13	26	pso	pso	NOUN
sc-1145	13	27	,	,	PUNCT
sc-1145	13	28	supervised	supervised	ADJ
sc-1145	13	29	learning	learning	NOUN
sc-1145	13	30	,	,	PUNCT
sc-1145	13	31	support	support	VERB
sc-1145	13	32	vector	vector	NOUN
sc-1145	13	33	regression	regression	NOUN
sc-1145	13	34	copyright	copyright	NOUN
sc-1145	13	35	©	©	ADP
sc-1145	13	36	2019	2019	NUM
sc-1145	13	37	naomi	naomi	NOUN
sc-1145	13	38	dassi	dassi	PROPN
sc-1145	13	39	tchomté	tchomté	PROPN
sc-1145	13	40	et	et	PROPN
sc-1145	13	41	al	al	PROPN
sc-1145	13	42	.	.	PROPN
sc-1145	13	43	,	,	PUNCT
sc-1145	13	44	licensed	license	VERB
sc-1145	13	45	to	to	ADP
sc-1145	13	46	eai	eai	PROPN
sc-1145	13	47	.	.	PUNCT
sc-1145	14	1	this	this	PRON
sc-1145	14	2	is	be	AUX
sc-1145	14	3	an	an	DET
sc-1145	14	4	open	open	ADJ
sc-1145	14	5	access	access	NOUN
sc-1145	14	6	article	article	NOUN
sc-1145	14	7	distributed	distribute	VERB
sc-1145	14	8	under	under	ADP
sc-1145	14	9	the	the	DET
sc-1145	14	10	terms	term	NOUN
sc-1145	14	11	of	of	ADP
sc-1145	14	12	the	the	DET
sc-1145	14	13	creative	creative	ADJ
sc-1145	14	14	commons	common	NOUN
sc-1145	14	15	attribution	attribution	NOUN
sc-1145	14	16	license	license	NOUN
sc-1145	14	17	(	(	PUNCT
sc-1145	14	18	http://creativecommons.org/licenses/by/3.0/	http://creativecommons.org/licenses/by/3.0/	PROPN
sc-1145	14	19	)	)	PUNCT
sc-1145	14	20	,	,	PUNCT
sc-1145	14	21	which	which	PRON
sc-1145	14	22	permits	permit	VERB
sc-1145	14	23	unlimited	unlimited	ADJ
sc-1145	14	24	use	use	NOUN
sc-1145	14	25	,	,	PUNCT
sc-1145	14	26	distribution	distribution	NOUN
sc-1145	14	27	and	and	CCONJ
sc-1145	14	28	reproduction	reproduction	NOUN
sc-1145	14	29	in	in	ADP
sc-1145	14	30	any	any	DET
sc-1145	14	31	medium	medium	NOUN
sc-1145	14	32	so	so	ADV
sc-1145	14	33	long	long	ADV
sc-1145	14	34	as	as	SCONJ
sc-1145	14	35	the	the	DET
sc-1145	14	36	original	original	ADJ
sc-1145	14	37	work	work	NOUN
sc-1145	14	38	is	be	AUX
sc-1145	14	39	properly	properly	ADV
sc-1145	14	40	cited	cite	VERB
sc-1145	14	41	.	.	PUNCT
sc-1145	15	1	doi:10.4108	doi:10.4108	VERB
sc-1145	15	2	/	/	SYM
sc-1145	15	3	eai.26	eai.26	ADJ
sc-1145	15	4	-	-	PUNCT
sc-1145	15	5	6	6	NUM
sc-1145	15	6	-	-	PUNCT
sc-1145	15	7	2018.162292	2018.162292	NUM
sc-1145	15	8	1	1	NUM
sc-1145	15	9	.	.	PUNCT
sc-1145	16	1	introduction	introduction	NOUN
sc-1145	16	2	case	case	NOUN
sc-1145	16	3	-	-	PUNCT
sc-1145	16	4	based	base	VERB
sc-1145	16	5	reasoning	reasoning	NOUN
sc-1145	16	6	(	(	PUNCT
sc-1145	16	7	cbr	cbr	NOUN
sc-1145	16	8	)	)	PUNCT
sc-1145	16	9	is	be	AUX
sc-1145	16	10	a	a	DET
sc-1145	16	11	methodology	methodology	NOUN
sc-1145	16	12	which	which	PRON
sc-1145	16	13	makes	make	VERB
sc-1145	16	14	use	use	NOUN
sc-1145	16	15	of	of	ADP
sc-1145	16	16	solutions	solution	NOUN
sc-1145	16	17	of	of	ADP
sc-1145	16	18	past	past	ADJ
sc-1145	16	19	problem	problem	NOUN
sc-1145	16	20	cases	case	NOUN
sc-1145	16	21	to	to	PART
sc-1145	16	22	solve	solve	VERB
sc-1145	16	23	new	new	ADJ
sc-1145	16	24	problems	problem	NOUN
sc-1145	16	25	[	[	X
sc-1145	16	26	1	1	X
sc-1145	16	27	]	]	X
sc-1145	16	28	[	[	X
sc-1145	16	29	2	2	NUM
sc-1145	16	30	]	]	PUNCT
sc-1145	16	31	.	.	PUNCT
sc-1145	17	1	it	it	PRON
sc-1145	17	2	includes	include	VERB
sc-1145	17	3	four	four	NUM
sc-1145	17	4	steps	step	NOUN
sc-1145	17	5	.	.	PUNCT
sc-1145	18	1	the	the	DET
sc-1145	18	2	retrieve	retrieve	NOUN
sc-1145	18	3	process	process	NOUN
sc-1145	18	4	aims	aim	VERB
sc-1145	18	5	to	to	PART
sc-1145	18	6	retrieve	retrieve	VERB
sc-1145	18	7	cases	case	NOUN
sc-1145	18	8	that	that	PRON
sc-1145	18	9	are	be	AUX
sc-1145	18	10	similar	similar	ADJ
sc-1145	18	11	to	to	ADP
sc-1145	18	12	the	the	DET
sc-1145	18	13	new	new	ADJ
sc-1145	18	14	case	case	NOUN
sc-1145	18	15	of	of	ADP
sc-1145	18	16	the	the	DET
sc-1145	18	17	problem	problem	NOUN
sc-1145	18	18	.	.	PUNCT
sc-1145	19	1	the	the	DET
sc-1145	19	2	reuse	reuse	NOUN
sc-1145	19	3	process	process	NOUN
sc-1145	19	4	aims	aim	VERB
sc-1145	19	5	to	to	PART
sc-1145	19	6	reuse	reuse	VERB
sc-1145	19	7	a	a	DET
sc-1145	19	8	solution	solution	NOUN
sc-1145	19	9	that	that	PRON
sc-1145	19	10	has	have	AUX
sc-1145	19	11	been	be	AUX
sc-1145	19	12	suggested	suggest	VERB
sc-1145	19	13	by	by	ADP
sc-1145	19	14	measuring	measure	VERB
sc-1145	19	15	the	the	DET
sc-1145	19	16	similarity	similarity	NOUN
sc-1145	19	17	in	in	ADP
sc-1145	19	18	the	the	DET
sc-1145	19	19	retrieve	retrieve	NOUN
sc-1145	19	20	phase	phase	NOUN
sc-1145	19	21	.	.	PUNCT
sc-1145	20	1	the	the	DET
sc-1145	20	2	revise	revise	NOUN
sc-1145	20	3	process	process	NOUN
sc-1145	20	4	aims	aim	VERB
sc-1145	20	5	to	to	PART
sc-1145	20	6	adapt	adapt	VERB
sc-1145	20	7	the	the	DET
sc-1145	20	8	solution	solution	NOUN
sc-1145	20	9	to	to	PART
sc-1145	20	10	fit	fit	VERB
sc-1145	20	11	the	the	DET
sc-1145	20	12	new	new	ADJ
sc-1145	20	13	problem	problem	NOUN
sc-1145	20	14	.	.	PUNCT
sc-1145	21	1	the	the	DET
sc-1145	21	2	retain	retain	ADJ
sc-1145	21	3	process	process	NOUN
sc-1145	21	4	is	be	AUX
sc-1145	21	5	used	use	VERB
sc-1145	21	6	to	to	PART
sc-1145	21	7	retain	retain	VERB
sc-1145	21	8	the	the	DET
sc-1145	21	9	new	new	ADJ
sc-1145	21	10	solution	solution	NOUN
sc-1145	21	11	when	when	SCONJ
sc-1145	21	12	it	it	PRON
sc-1145	21	13	is	be	AUX
sc-1145	21	14	confirmed	confirm	VERB
sc-1145	21	15	.	.	PUNCT
sc-1145	22	1	cbr	cbr	NOUN
sc-1145	22	2	is	be	AUX
sc-1145	22	3	a	a	DET
sc-1145	22	4	promising	promising	ADJ
sc-1145	22	5	artificial	artificial	ADJ
sc-1145	22	6	intelligence	intelligence	NOUN
sc-1145	22	7	methodology	methodology	NOUN
sc-1145	22	8	as	as	SCONJ
sc-1145	22	9	compared	compare	VERB
sc-1145	22	10	to	to	ADP
sc-1145	22	11	machine	machine	NOUN
sc-1145	22	12	learning	learn	VERB
sc-1145	22	13	techniques	technique	NOUN
sc-1145	22	14	for	for	ADP
sc-1145	22	15	two	two	NUM
sc-1145	22	16	reasons	reason	NOUN
sc-1145	22	17	[	[	X
sc-1145	22	18	3	3	X
sc-1145	22	19	]	]	PUNCT
sc-1145	22	20	and	and	CCONJ
sc-1145	22	21	[	[	X
sc-1145	22	22	4	4	NUM
sc-1145	22	23	]	]	PUNCT
sc-1145	22	24	.	.	PUNCT
sc-1145	23	1	first	first	ADV
sc-1145	23	2	,	,	PUNCT
sc-1145	23	3	∗corresponding	∗corresponde	VERB
sc-1145	23	4	author	author	NOUN
sc-1145	23	5	.	.	PUNCT
sc-1145	24	1	email	email	NOUN
sc-1145	24	2	:	:	PUNCT
sc-1145	24	3	naomitdassi@gmail.com	naomitdassi@gmail.com	X
sc-1145	25	1	it	it	PRON
sc-1145	25	2	is	be	AUX
sc-1145	25	3	able	able	ADJ
sc-1145	25	4	to	to	PART
sc-1145	25	5	adapt	adapt	VERB
sc-1145	25	6	new	new	ADJ
sc-1145	25	7	data	datum	NOUN
sc-1145	25	8	which	which	PRON
sc-1145	25	9	is	be	AUX
sc-1145	25	10	automatically	automatically	ADV
sc-1145	25	11	stored	store	VERB
sc-1145	25	12	into	into	ADP
sc-1145	25	13	the	the	DET
sc-1145	25	14	knowledge	knowledge	NOUN
sc-1145	25	15	base	base	NOUN
sc-1145	25	16	of	of	ADP
sc-1145	25	17	the	the	DET
sc-1145	25	18	model	model	NOUN
sc-1145	25	19	and	and	CCONJ
sc-1145	25	20	become	become	VERB
sc-1145	25	21	part	part	NOUN
sc-1145	25	22	of	of	ADP
sc-1145	25	23	the	the	DET
sc-1145	25	24	solution	solution	NOUN
sc-1145	25	25	for	for	ADP
sc-1145	25	26	predicting	predict	VERB
sc-1145	25	27	the	the	DET
sc-1145	25	28	future	future	ADJ
sc-1145	25	29	solution	solution	NOUN
sc-1145	25	30	.	.	PUNCT
sc-1145	26	1	second	second	ADJ
sc-1145	26	2	,	,	PUNCT
sc-1145	26	3	it	it	PRON
sc-1145	26	4	is	be	AUX
sc-1145	26	5	able	able	ADJ
sc-1145	26	6	to	to	PART
sc-1145	26	7	provide	provide	VERB
sc-1145	26	8	interesting	interesting	ADJ
sc-1145	26	9	performance	performance	NOUN
sc-1145	26	10	independently	independently	ADV
sc-1145	26	11	to	to	ADP
sc-1145	26	12	the	the	DET
sc-1145	26	13	dataset	dataset	NOUN
sc-1145	26	14	.	.	PUNCT
sc-1145	27	1	on	on	ADP
sc-1145	27	2	the	the	DET
sc-1145	27	3	contrary	contrary	NOUN
sc-1145	27	4	,	,	PUNCT
sc-1145	27	5	supervised	supervise	VERB
sc-1145	27	6	learning	learning	NOUN
sc-1145	27	7	algorithms	algorithm	NOUN
sc-1145	27	8	require	require	VERB
sc-1145	27	9	large	large	ADJ
sc-1145	27	10	volume	volume	NOUN
sc-1145	27	11	of	of	ADP
sc-1145	27	12	data	datum	NOUN
sc-1145	27	13	and	and	CCONJ
sc-1145	27	14	need	need	VERB
sc-1145	27	15	to	to	PART
sc-1145	27	16	be	be	AUX
sc-1145	27	17	re	re	VERB
sc-1145	27	18	-	-	VERB
sc-1145	27	19	calculated	calculate	VERB
sc-1145	27	20	when	when	SCONJ
sc-1145	27	21	there	there	PRON
sc-1145	27	22	is	be	VERB
sc-1145	27	23	new	new	ADJ
sc-1145	27	24	data	datum	NOUN
sc-1145	27	25	.	.	PUNCT
sc-1145	28	1	it	it	PRON
sc-1145	28	2	is	be	AUX
sc-1145	28	3	not	not	PART
sc-1145	28	4	representative	representative	NOUN
sc-1145	28	5	of	of	ADP
sc-1145	28	6	the	the	DET
sc-1145	28	7	general	general	ADJ
sc-1145	28	8	trends	trend	NOUN
sc-1145	28	9	of	of	ADP
sc-1145	28	10	the	the	DET
sc-1145	28	11	modelling	model	VERB
sc-1145	28	12	data	datum	NOUN
sc-1145	28	13	.	.	PUNCT
sc-1145	29	1	however	however	ADV
sc-1145	29	2	,	,	PUNCT
sc-1145	29	3	cbr	cbr	PROPN
sc-1145	29	4	lacks	lack	VERB
sc-1145	29	5	specifications	specification	NOUN
sc-1145	29	6	on	on	ADP
sc-1145	29	7	how	how	SCONJ
sc-1145	29	8	these	these	DET
sc-1145	29	9	processes	process	NOUN
sc-1145	29	10	should	should	AUX
sc-1145	29	11	be	be	AUX
sc-1145	29	12	fulfilled	fulfil	VERB
sc-1145	29	13	.	.	PUNCT
sc-1145	30	1	as	as	ADP
sc-1145	30	2	a	a	DET
sc-1145	30	3	consequence	consequence	NOUN
sc-1145	30	4	,	,	PUNCT
sc-1145	30	5	a	a	DET
sc-1145	30	6	cbr	cbr	NOUN
sc-1145	30	7	system	system	NOUN
sc-1145	30	8	can	can	AUX
sc-1145	30	9	differ	differ	VERB
sc-1145	30	10	from	from	ADP
sc-1145	30	11	another	another	PRON
sc-1145	30	12	.	.	PUNCT
sc-1145	31	1	cbr	cbr	PROPN
sc-1145	31	2	has	have	AUX
sc-1145	31	3	been	be	AUX
sc-1145	31	4	largely	largely	ADV
sc-1145	31	5	applied	apply	VERB
sc-1145	31	6	in	in	ADP
sc-1145	31	7	energy	energy	NOUN
sc-1145	31	8	consumption	consumption	NOUN
sc-1145	31	9	prediction	prediction	NOUN
sc-1145	31	10	to	to	PART
sc-1145	31	11	increase	increase	VERB
sc-1145	31	12	consumer	consumer	NOUN
sc-1145	31	13	awareness	awareness	NOUN
sc-1145	31	14	of	of	ADP
sc-1145	31	15	the	the	DET
sc-1145	31	16	forecasted	forecast	VERB
sc-1145	31	17	energy	energy	NOUN
sc-1145	31	18	consumption	consumption	NOUN
sc-1145	31	19	.	.	PUNCT
sc-1145	32	1	it	it	PRON
sc-1145	32	2	is	be	AUX
sc-1145	32	3	done	do	VERB
sc-1145	32	4	to	to	PART
sc-1145	32	5	stimulate	stimulate	VERB
sc-1145	32	6	the	the	DET
sc-1145	32	7	shift	shift	NOUN
sc-1145	32	8	their	their	PRON
sc-1145	32	9	appliance	appliance	NOUN
sc-1145	32	10	consumption	consumption	NOUN
sc-1145	32	11	there	there	ADV
sc-1145	32	12	by	by	ADP
sc-1145	32	13	improving	improve	VERB
sc-1145	32	14	energy	energy	NOUN
sc-1145	32	15	usage	usage	NOUN
sc-1145	32	16	.	.	PUNCT
sc-1145	33	1	different	different	ADJ
sc-1145	33	2	approaches	approach	NOUN
sc-1145	33	3	exist	exist	VERB
sc-1145	33	4	as	as	ADP
sc-1145	33	5	using	use	VERB
sc-1145	33	6	cbr	cbr	NOUN
sc-1145	33	7	to	to	PART
sc-1145	33	8	adjust	adjust	VERB
sc-1145	33	9	the	the	DET
sc-1145	33	10	energy	energy	NOUN
sc-1145	33	11	consumption	consumption	NOUN
sc-1145	33	12	of	of	ADP
sc-1145	33	13	a	a	DET
sc-1145	33	14	house	house	NOUN
sc-1145	33	15	according	accord	VERB
sc-1145	33	16	to	to	ADP
sc-1145	33	17	the	the	DET
sc-1145	33	18	actual	actual	ADJ
sc-1145	33	19	state	state	NOUN
sc-1145	33	20	of	of	ADP
sc-1145	33	21	consumption	consumption	NOUN
sc-1145	33	22	of	of	ADP
sc-1145	33	23	appliances	appliance	NOUN
sc-1145	33	24	[	[	X
sc-1145	33	25	5	5	NUM
sc-1145	33	26	]	]	PUNCT
sc-1145	33	27	and	and	CCONJ
sc-1145	33	28	[	[	X
sc-1145	33	29	6	6	NUM
sc-1145	33	30	]	]	PUNCT
sc-1145	33	31	,	,	PUNCT
sc-1145	33	32	predicting	predict	VERB
sc-1145	33	33	energy	energy	NOUN
sc-1145	33	34	consumption	consumption	NOUN
sc-1145	33	35	1	1	NUM
sc-1145	33	36	research	research	NOUN
sc-1145	33	37	article	article	NOUN
sc-1145	33	38	eai	eai	PROPN
sc-1145	33	39	endorsed	endorse	VERB
sc-1145	33	40	transactions	transaction	NOUN
sc-1145	33	41	on	on	ADP
sc-1145	33	42	smart	smart	ADJ
sc-1145	33	43	cities	city	NOUN
sc-1145	33	44	eai	eai	PROPN
sc-1145	33	45	endorsed	endorse	VERB
sc-1145	33	46	transactions	transaction	NOUN
sc-1145	33	47	on	on	ADP
sc-1145	33	48	smart	smart	ADJ
sc-1145	33	49	cities	city	NOUN
sc-1145	33	50	06	06	NUM
sc-1145	33	51	2018	2018	NUM
sc-1145	33	52	02	02	NUM
sc-1145	33	53	2020	2020	NUM
sc-1145	33	54	|	|	ADV
sc-1145	33	55	volume	volume	NOUN
sc-1145	33	56	4	4	NUM
sc-1145	33	57	|	|	NOUN
sc-1145	33	58	issue	issue	NOUN
sc-1145	33	59	9	9	NUM
sc-1145	34	1	|	|	NOUN
sc-1145	34	2	e4	e4	PROPN
sc-1145	34	3	http://creativecommons.org/licenses/by/3.0/	http://creativecommons.org/licenses/by/3.0/	PROPN
sc-1145	34	4	http://doc.eai.eu/publications/transactions/latex/	http://doc.eai.eu/publications/transactions/latex/	PROPN
sc-1145	34	5	mailto:<naomitdassi@gmail.com	mailto:<naomitdassi@gmail.com	PROPN
sc-1145	34	6	>	>	X
sc-1145	34	7	naomi	naomi	PROPN
sc-1145	34	8	dassi	dassi	PROPN
sc-1145	34	9	tchomté	tchomté	PROPN
sc-1145	34	10	et	et	PROPN
sc-1145	34	11	al	al	PROPN
sc-1145	34	12	.	.	PROPN
sc-1145	35	1	according	accord	VERB
sc-1145	35	2	to	to	ADP
sc-1145	35	3	internal	internal	ADJ
sc-1145	35	4	and	and	CCONJ
sc-1145	35	5	external	external	ADJ
sc-1145	35	6	factors	factor	NOUN
sc-1145	35	7	as	as	ADV
sc-1145	35	8	well	well	ADV
sc-1145	35	9	as	as	ADP
sc-1145	35	10	people	people	NOUN
sc-1145	35	11	habits	habit	NOUN
sc-1145	35	12	and	and	CCONJ
sc-1145	35	13	agendas	agenda	NOUN
sc-1145	35	14	in	in	ADP
sc-1145	35	15	the	the	DET
sc-1145	35	16	building	building	NOUN
sc-1145	35	17	[	[	X
sc-1145	35	18	6	6	NUM
sc-1145	35	19	]	]	PUNCT
sc-1145	35	20	,	,	PUNCT
sc-1145	35	21	and	and	CCONJ
sc-1145	35	22	selecting	select	VERB
sc-1145	35	23	optimal	optimal	ADJ
sc-1145	35	24	algorithms	algorithm	NOUN
sc-1145	35	25	exploited	exploit	VERB
sc-1145	35	26	in	in	ADP
sc-1145	35	27	different	different	ADJ
sc-1145	35	28	processes	process	NOUN
sc-1145	35	29	in	in	ADP
sc-1145	35	30	resource	resource	NOUN
sc-1145	35	31	scheduling	scheduling	NOUN
sc-1145	35	32	[	[	X
sc-1145	35	33	7	7	NUM
sc-1145	35	34	]	]	PUNCT
sc-1145	35	35	and	and	CCONJ
sc-1145	35	36	[	[	X
sc-1145	35	37	8	8	NUM
sc-1145	35	38	]	]	PUNCT
sc-1145	35	39	.	.	PUNCT
sc-1145	36	1	however	however	ADV
sc-1145	36	2	,	,	PUNCT
sc-1145	36	3	these	these	PRON
sc-1145	36	4	works	work	VERB
sc-1145	36	5	lack	lack	VERB
sc-1145	36	6	to	to	PART
sc-1145	36	7	be	be	AUX
sc-1145	36	8	generic	generic	ADJ
sc-1145	36	9	because	because	SCONJ
sc-1145	36	10	they	they	PRON
sc-1145	36	11	only	only	ADV
sc-1145	36	12	solve	solve	VERB
sc-1145	36	13	specific	specific	ADJ
sc-1145	36	14	problems	problem	NOUN
sc-1145	36	15	.	.	PUNCT
sc-1145	37	1	the	the	DET
sc-1145	37	2	suggested	suggest	VERB
sc-1145	37	3	aim	aim	NOUN
sc-1145	37	4	is	be	AUX
sc-1145	37	5	to	to	PART
sc-1145	37	6	make	make	VERB
sc-1145	37	7	cbr	cbr	PROPN
sc-1145	37	8	functionalities	functionality	NOUN
sc-1145	37	9	more	more	ADV
sc-1145	37	10	generic	generic	ADJ
sc-1145	37	11	based	base	VERB
sc-1145	37	12	on	on	ADP
sc-1145	37	13	well	well	ADV
sc-1145	37	14	structured	structure	VERB
sc-1145	37	15	data	datum	NOUN
sc-1145	37	16	for	for	ADP
sc-1145	37	17	energy	energy	NOUN
sc-1145	37	18	forecasting	forecasting	NOUN
sc-1145	37	19	problems	problem	NOUN
sc-1145	37	20	.	.	PUNCT
sc-1145	38	1	this	this	DET
sc-1145	38	2	study	study	NOUN
sc-1145	38	3	proposes	propose	VERB
sc-1145	38	4	case	case	NOUN
sc-1145	38	5	based	base	VERB
sc-1145	38	6	reasoning	reasoning	NOUN
sc-1145	38	7	architecture	architecture	NOUN
sc-1145	38	8	based	base	VERB
sc-1145	38	9	on	on	ADP
sc-1145	38	10	machine	machine	NOUN
sc-1145	38	11	learning	learning	NOUN
sc-1145	38	12	(	(	PUNCT
sc-1145	38	13	cable	cable	NOUN
sc-1145	38	14	)	)	PUNCT
sc-1145	38	15	,	,	PUNCT
sc-1145	38	16	a	a	DET
sc-1145	38	17	novel	novel	ADJ
sc-1145	38	18	cbr	cbr	NOUN
sc-1145	38	19	approach	approach	NOUN
sc-1145	38	20	coupling	couple	VERB
sc-1145	38	21	various	various	ADJ
sc-1145	38	22	intelligences	intelligence	NOUN
sc-1145	38	23	to	to	PART
sc-1145	38	24	efficiently	efficiently	ADV
sc-1145	38	25	forecast	forecast	VERB
sc-1145	38	26	a	a	DET
sc-1145	38	27	solution	solution	NOUN
sc-1145	38	28	based	base	VERB
sc-1145	38	29	on	on	ADP
sc-1145	38	30	historical	historical	ADJ
sc-1145	38	31	cases	case	NOUN
sc-1145	38	32	.	.	PUNCT
sc-1145	39	1	it	it	PRON
sc-1145	39	2	relies	rely	VERB
sc-1145	39	3	on	on	ADP
sc-1145	39	4	a	a	DET
sc-1145	39	5	modified	modify	VERB
sc-1145	39	6	version	version	NOUN
sc-1145	39	7	of	of	ADP
sc-1145	39	8	cosine	cosine	NOUN
sc-1145	39	9	for	for	ADP
sc-1145	39	10	distance	distance	NOUN
sc-1145	39	11	similarity	similarity	NOUN
sc-1145	39	12	and	and	CCONJ
sc-1145	39	13	associates	associate	NOUN
sc-1145	39	14	k	k	PROPN
sc-1145	39	15	-	-	PUNCT
sc-1145	39	16	nn	nn	PROPN
sc-1145	39	17	and	and	CCONJ
sc-1145	39	18	k	k	NOUN
sc-1145	39	19	-	-	PUNCT
sc-1145	39	20	means	means	NOUN
sc-1145	39	21	for	for	ADP
sc-1145	39	22	the	the	DET
sc-1145	39	23	retrieve	retrieve	NOUN
sc-1145	39	24	phase	phase	NOUN
sc-1145	39	25	.	.	PUNCT
sc-1145	40	1	cable	cable	NOUN
sc-1145	40	2	structures	structure	NOUN
sc-1145	40	3	in	in	ADP
sc-1145	40	4	the	the	DET
sc-1145	40	5	reuse	reuse	NOUN
sc-1145	40	6	,	,	PUNCT
sc-1145	40	7	the	the	DET
sc-1145	40	8	determination	determination	NOUN
sc-1145	40	9	of	of	ADP
sc-1145	40	10	solution	solution	NOUN
sc-1145	40	11	as	as	ADP
sc-1145	40	12	an	an	DET
sc-1145	40	13	optimization	optimization	NOUN
sc-1145	40	14	problem	problem	NOUN
sc-1145	40	15	from	from	ADP
sc-1145	40	16	which	which	PRON
sc-1145	40	17	the	the	DET
sc-1145	40	18	solution	solution	NOUN
sc-1145	40	19	is	be	AUX
sc-1145	40	20	determined	determine	VERB
sc-1145	40	21	using	use	VERB
sc-1145	40	22	particle	particle	NOUN
sc-1145	40	23	swarm	swarm	NOUN
sc-1145	40	24	optimization(pso	optimization(pso	NOUN
sc-1145	40	25	)	)	PUNCT
sc-1145	40	26	.	.	PUNCT
sc-1145	41	1	the	the	DET
sc-1145	41	2	retrieve	retrieve	NOUN
sc-1145	41	3	process	process	NOUN
sc-1145	41	4	combines	combine	VERB
sc-1145	41	5	the	the	DET
sc-1145	41	6	reuse	reuse	NOUN
sc-1145	41	7	model	model	NOUN
sc-1145	41	8	and	and	CCONJ
sc-1145	41	9	the	the	DET
sc-1145	41	10	svm	svm	PROPN
sc-1145	41	11	regression	regression	NOUN
sc-1145	41	12	model	model	NOUN
sc-1145	41	13	based	base	VERB
sc-1145	41	14	on	on	ADP
sc-1145	41	15	a	a	DET
sc-1145	41	16	threshold	threshold	NOUN
sc-1145	41	17	.	.	PUNCT
sc-1145	42	1	experiments	experiment	NOUN
sc-1145	42	2	were	be	AUX
sc-1145	42	3	made	make	VERB
sc-1145	42	4	on	on	ADP
sc-1145	42	5	real	real	ADJ
sc-1145	42	6	data	datum	NOUN
sc-1145	42	7	samples	sample	NOUN
sc-1145	42	8	about	about	ADP
sc-1145	42	9	energy	energy	NOUN
sc-1145	42	10	loads	load	NOUN
sc-1145	42	11	in	in	ADP
sc-1145	42	12	buildings	building	NOUN
sc-1145	42	13	to	to	PART
sc-1145	42	14	assess	assess	VERB
sc-1145	42	15	the	the	DET
sc-1145	42	16	performance	performance	NOUN
sc-1145	42	17	of	of	ADP
sc-1145	42	18	forecasting	forecasting	NOUN
sc-1145	42	19	using	use	VERB
sc-1145	42	20	cable	cable	NOUN
sc-1145	42	21	.	.	PUNCT
sc-1145	43	1	this	this	DET
sc-1145	43	2	work	work	NOUN
sc-1145	43	3	is	be	AUX
sc-1145	43	4	expected	expect	VERB
sc-1145	43	5	to	to	PART
sc-1145	43	6	be	be	AUX
sc-1145	43	7	relevant	relevant	ADJ
sc-1145	43	8	to	to	ADP
sc-1145	43	9	people	people	NOUN
sc-1145	43	10	willing	willing	ADJ
sc-1145	43	11	to	to	PART
sc-1145	43	12	predict	predict	VERB
sc-1145	43	13	their	their	PRON
sc-1145	43	14	energy	energy	NOUN
sc-1145	43	15	consumption	consumption	NOUN
sc-1145	43	16	for	for	ADP
sc-1145	43	17	making	make	VERB
sc-1145	43	18	adequate	adequate	ADJ
sc-1145	43	19	decisions	decision	NOUN
sc-1145	43	20	.	.	PUNCT
sc-1145	44	1	and	and	CCONJ
sc-1145	44	2	therefore	therefore	ADV
sc-1145	44	3	to	to	PART
sc-1145	44	4	be	be	AUX
sc-1145	44	5	further	far	ADV
sc-1145	44	6	exploited	exploit	VERB
sc-1145	44	7	as	as	ADP
sc-1145	44	8	a	a	DET
sc-1145	44	9	support	support	NOUN
sc-1145	44	10	to	to	PART
sc-1145	44	11	determine	determine	VERB
sc-1145	44	12	appliances	appliance	NOUN
sc-1145	44	13	which	which	PRON
sc-1145	44	14	increase	increase	VERB
sc-1145	44	15	consumptions	consumption	NOUN
sc-1145	44	16	.	.	PUNCT
sc-1145	45	1	the	the	DET
sc-1145	45	2	rest	rest	NOUN
sc-1145	45	3	of	of	ADP
sc-1145	45	4	the	the	DET
sc-1145	45	5	paper	paper	NOUN
sc-1145	45	6	is	be	AUX
sc-1145	45	7	organized	organize	VERB
sc-1145	45	8	as	as	SCONJ
sc-1145	45	9	follows	follow	VERB
sc-1145	45	10	.	.	PUNCT
sc-1145	46	1	the	the	DET
sc-1145	46	2	first	first	ADJ
sc-1145	46	3	section	section	NOUN
sc-1145	46	4	presents	present	VERB
sc-1145	46	5	related	relate	VERB
sc-1145	46	6	works	work	NOUN
sc-1145	46	7	about	about	ADP
sc-1145	46	8	predicting	predict	VERB
sc-1145	46	9	energy	energy	NOUN
sc-1145	46	10	consumption	consumption	NOUN
sc-1145	46	11	using	use	VERB
sc-1145	46	12	cbr	cbr	NOUN
sc-1145	46	13	.	.	PUNCT
sc-1145	47	1	the	the	DET
sc-1145	47	2	second	second	ADJ
sc-1145	47	3	section	section	NOUN
sc-1145	47	4	presents	present	VERB
sc-1145	47	5	different	different	ADJ
sc-1145	47	6	intelligent	intelligent	ADJ
sc-1145	47	7	techniques	technique	NOUN
sc-1145	47	8	required	require	VERB
sc-1145	47	9	to	to	PART
sc-1145	47	10	build	build	VERB
sc-1145	47	11	the	the	DET
sc-1145	47	12	proposed	propose	VERB
sc-1145	47	13	approach	approach	NOUN
sc-1145	47	14	.	.	PUNCT
sc-1145	48	1	the	the	DET
sc-1145	48	2	third	third	ADJ
sc-1145	48	3	section	section	NOUN
sc-1145	48	4	details	detail	VERB
sc-1145	48	5	the	the	DET
sc-1145	48	6	different	different	ADJ
sc-1145	48	7	components	component	NOUN
sc-1145	48	8	of	of	ADP
sc-1145	48	9	the	the	DET
sc-1145	48	10	resulted	resulted	ADJ
sc-1145	48	11	architecture	architecture	NOUN
sc-1145	48	12	.	.	PUNCT
sc-1145	49	1	the	the	DET
sc-1145	49	2	fourth	fourth	ADJ
sc-1145	49	3	section	section	NOUN
sc-1145	49	4	describes	describe	VERB
sc-1145	49	5	a	a	DET
sc-1145	49	6	case	case	NOUN
sc-1145	49	7	study	study	NOUN
sc-1145	49	8	exploiting	exploit	VERB
sc-1145	49	9	cable	cable	NOUN
sc-1145	49	10	to	to	PART
sc-1145	49	11	predict	predict	VERB
sc-1145	49	12	the	the	DET
sc-1145	49	13	electricity	electricity	NOUN
sc-1145	49	14	energy	energy	NOUN
sc-1145	49	15	consumption	consumption	NOUN
sc-1145	49	16	in	in	ADP
sc-1145	49	17	market	market	NOUN
sc-1145	49	18	buildings	building	NOUN
sc-1145	49	19	.	.	PUNCT
sc-1145	50	1	the	the	DET
sc-1145	50	2	last	last	ADJ
sc-1145	50	3	section	section	NOUN
sc-1145	50	4	concludes	conclude	VERB
sc-1145	50	5	and	and	CCONJ
sc-1145	50	6	specifies	specify	VERB
sc-1145	50	7	future	future	ADJ
sc-1145	50	8	works	work	NOUN
sc-1145	50	9	.	.	PUNCT
sc-1145	51	1	2	2	X
sc-1145	51	2	.	.	X
sc-1145	51	3	related	relate	VERB
sc-1145	51	4	works	work	NOUN
sc-1145	51	5	several	several	ADJ
sc-1145	51	6	works	work	NOUN
sc-1145	51	7	have	have	AUX
sc-1145	51	8	been	be	AUX
sc-1145	51	9	proposed	propose	VERB
sc-1145	51	10	to	to	PART
sc-1145	51	11	improve	improve	VERB
sc-1145	51	12	energy	energy	NOUN
sc-1145	51	13	consumption	consumption	NOUN
sc-1145	51	14	using	use	VERB
sc-1145	51	15	case	case	NOUN
sc-1145	51	16	-	-	PUNCT
sc-1145	51	17	based	base	VERB
sc-1145	51	18	reasoning	reasoning	NOUN
sc-1145	51	19	.	.	PUNCT
sc-1145	52	1	platon	platon	PROPN
sc-1145	52	2	et	et	PROPN
sc-1145	52	3	al	al	PROPN
sc-1145	52	4	.	.	PUNCT
sc-1145	53	1	[	[	X
sc-1145	53	2	7	7	X
sc-1145	53	3	]	]	PUNCT
sc-1145	53	4	study	study	NOUN
sc-1145	53	5	the	the	DET
sc-1145	53	6	accuracy	accuracy	NOUN
sc-1145	53	7	of	of	ADP
sc-1145	53	8	cbr	cbr	NOUN
sc-1145	53	9	and	and	CCONJ
sc-1145	53	10	artificial	artificial	ADJ
sc-1145	53	11	neural	neural	ADJ
sc-1145	53	12	networks	network	NOUN
sc-1145	53	13	(	(	PUNCT
sc-1145	53	14	ann	ann	PROPN
sc-1145	53	15	)	)	PUNCT
sc-1145	53	16	models	model	NOUN
sc-1145	53	17	in	in	ADP
sc-1145	53	18	predicting	predict	VERB
sc-1145	53	19	the	the	DET
sc-1145	53	20	hourly	hourly	ADJ
sc-1145	53	21	building	building	NOUN
sc-1145	53	22	electricity	electricity	NOUN
sc-1145	53	23	use	use	NOUN
sc-1145	53	24	.	.	PUNCT
sc-1145	54	1	they	they	PRON
sc-1145	54	2	investigate	investigate	VERB
sc-1145	54	3	artificial	artificial	ADJ
sc-1145	54	4	neural	neural	ADJ
sc-1145	54	5	networks(ann	networks(ann	NOUN
sc-1145	54	6	)	)	PUNCT
sc-1145	54	7	and	and	CCONJ
sc-1145	54	8	cbr	cbr	NOUN
sc-1145	54	9	methods	method	NOUN
sc-1145	54	10	for	for	ADP
sc-1145	54	11	to	to	ADP
sc-1145	54	12	the	the	DET
sc-1145	54	13	development	development	NOUN
sc-1145	54	14	of	of	ADP
sc-1145	54	15	accurate	accurate	ADJ
sc-1145	54	16	models	model	NOUN
sc-1145	54	17	.	.	PUNCT
sc-1145	55	1	this	this	DET
sc-1145	55	2	work	work	NOUN
sc-1145	55	3	uses	use	VERB
sc-1145	55	4	principal	principal	ADJ
sc-1145	55	5	component	component	NOUN
sc-1145	55	6	analysis	analysis	NOUN
sc-1145	55	7	(	(	PUNCT
sc-1145	55	8	pca	pca	NOUN
sc-1145	55	9	)	)	PUNCT
sc-1145	55	10	to	to	PART
sc-1145	55	11	optimally	optimally	ADV
sc-1145	55	12	reduce	reduce	VERB
sc-1145	55	13	the	the	DET
sc-1145	55	14	number	number	NOUN
sc-1145	55	15	of	of	ADP
sc-1145	55	16	variables	variable	NOUN
sc-1145	55	17	by	by	ADP
sc-1145	55	18	identifying	identify	VERB
sc-1145	55	19	the	the	DET
sc-1145	55	20	significant	significant	ADJ
sc-1145	55	21	variables	variable	NOUN
sc-1145	55	22	containing	contain	VERB
sc-1145	55	23	significant	significant	ADJ
sc-1145	55	24	information	information	NOUN
sc-1145	55	25	in	in	ADP
sc-1145	55	26	the	the	DET
sc-1145	55	27	dataset	dataset	NOUN
sc-1145	55	28	.	.	PUNCT
sc-1145	56	1	xiao	xiao	PROPN
sc-1145	56	2	et	et	PROPN
sc-1145	56	3	al	al	PROPN
sc-1145	56	4	.	.	PUNCT
sc-1145	57	1	[	[	X
sc-1145	57	2	9	9	NUM
sc-1145	57	3	]	]	PUNCT
sc-1145	57	4	and	and	CCONJ
sc-1145	57	5	shen	shen	PROPN
sc-1145	57	6	et	et	PROPN
sc-1145	57	7	al	al	PROPN
sc-1145	57	8	.	.	PUNCT
sc-1145	58	1	[	[	X
sc-1145	58	2	10	10	NUM
sc-1145	58	3	]	]	PUNCT
sc-1145	58	4	provide	provide	VERB
sc-1145	58	5	a	a	DET
sc-1145	58	6	case	case	NOUN
sc-1145	58	7	-	-	PUNCT
sc-1145	58	8	based	base	VERB
sc-1145	58	9	reasoning	reasoning	NOUN
sc-1145	58	10	model	model	NOUN
sc-1145	58	11	to	to	PART
sc-1145	58	12	build	build	VERB
sc-1145	58	13	green	green	ADJ
sc-1145	58	14	buildings	building	NOUN
sc-1145	58	15	based	base	VERB
sc-1145	58	16	on	on	ADP
sc-1145	58	17	past	past	ADJ
sc-1145	58	18	knowledge	knowledge	NOUN
sc-1145	58	19	and	and	CCONJ
sc-1145	58	20	experience	experience	NOUN
sc-1145	58	21	.	.	PUNCT
sc-1145	59	1	they	they	PRON
sc-1145	59	2	use	use	VERB
sc-1145	59	3	text	text	NOUN
sc-1145	59	4	mining	mining	NOUN
sc-1145	59	5	techniques	technique	NOUN
sc-1145	59	6	to	to	PART
sc-1145	59	7	translate	translate	VERB
sc-1145	59	8	the	the	DET
sc-1145	59	9	experience	experience	NOUN
sc-1145	59	10	in	in	ADP
sc-1145	59	11	the	the	DET
sc-1145	59	12	format	format	NOUN
sc-1145	59	13	of	of	ADP
sc-1145	59	14	text	text	NOUN
sc-1145	59	15	to	to	PART
sc-1145	59	16	be	be	AUX
sc-1145	59	17	systematically	systematically	ADV
sc-1145	59	18	descriptive	descriptive	ADJ
sc-1145	59	19	.	.	PUNCT
sc-1145	60	1	faia	faia	PROPN
sc-1145	60	2	et	et	PROPN
sc-1145	60	3	al	al	PROPN
sc-1145	60	4	.	.	PUNCT
sc-1145	61	1	[	[	X
sc-1145	61	2	8	8	NUM
sc-1145	61	3	]	]	X
sc-1145	61	4	propose	propose	VERB
sc-1145	61	5	a	a	DET
sc-1145	61	6	case	case	NOUN
sc-1145	61	7	-	-	PUNCT
sc-1145	61	8	based	base	VERB
sc-1145	61	9	reasoning	reasoning	NOUN
sc-1145	61	10	scheme	scheme	NOUN
sc-1145	61	11	to	to	PART
sc-1145	61	12	determine	determine	VERB
sc-1145	61	13	optimal	optimal	ADJ
sc-1145	61	14	algorithms	algorithm	NOUN
sc-1145	61	15	selected	select	VERB
sc-1145	61	16	in	in	ADP
sc-1145	61	17	previous	previous	ADJ
sc-1145	61	18	cases	case	NOUN
sc-1145	61	19	to	to	PART
sc-1145	61	20	solve	solve	VERB
sc-1145	61	21	a	a	DET
sc-1145	61	22	new	new	ADJ
sc-1145	61	23	problem	problem	NOUN
sc-1145	61	24	and	and	CCONJ
sc-1145	61	25	the	the	DET
sc-1145	61	26	problem	problem	NOUN
sc-1145	61	27	of	of	ADP
sc-1145	61	28	optimal	optimal	ADJ
sc-1145	61	29	resource	resource	NOUN
sc-1145	61	30	scheduling	scheduling	NOUN
sc-1145	61	31	(	(	PUNCT
sc-1145	61	32	ors	or	NOUN
sc-1145	61	33	)	)	PUNCT
sc-1145	61	34	.	.	PUNCT
sc-1145	62	1	they	they	PRON
sc-1145	62	2	define	define	VERB
sc-1145	62	3	requirements	requirement	NOUN
sc-1145	62	4	and	and	CCONJ
sc-1145	62	5	related	relate	VERB
sc-1145	62	6	meta	meta	ADJ
sc-1145	62	7	-	-	PUNCT
sc-1145	62	8	heuristics	heuristic	NOUN
sc-1145	62	9	to	to	PART
sc-1145	62	10	be	be	AUX
sc-1145	62	11	applied	apply	VERB
sc-1145	62	12	in	in	ADP
sc-1145	62	13	each	each	DET
sc-1145	62	14	process	process	NOUN
sc-1145	62	15	(	(	PUNCT
sc-1145	62	16	retrieve	retrieve	VERB
sc-1145	62	17	,	,	PUNCT
sc-1145	62	18	reuse	reuse	NOUN
sc-1145	62	19	,	,	PUNCT
sc-1145	62	20	revise	revise	VERB
sc-1145	62	21	and	and	CCONJ
sc-1145	62	22	retain	retain	VERB
sc-1145	62	23	)	)	PUNCT
sc-1145	62	24	.	.	PUNCT
sc-1145	63	1	faia	faia	PROPN
sc-1145	63	2	et	et	PROPN
sc-1145	63	3	al	al	PROPN
sc-1145	63	4	.	.	PUNCT
sc-1145	64	1	[	[	X
sc-1145	64	2	5	5	X
sc-1145	64	3	]	]	X
sc-1145	64	4	propose	propose	VERB
sc-1145	64	5	an	an	DET
sc-1145	64	6	approach	approach	NOUN
sc-1145	64	7	aiming	aim	VERB
sc-1145	64	8	to	to	PART
sc-1145	64	9	adjust	adjust	VERB
sc-1145	64	10	the	the	DET
sc-1145	64	11	instant	instant	ADJ
sc-1145	64	12	consumption	consumption	NOUN
sc-1145	64	13	of	of	ADP
sc-1145	64	14	a	a	DET
sc-1145	64	15	house	house	NOUN
sc-1145	64	16	according	accord	VERB
sc-1145	64	17	to	to	ADP
sc-1145	64	18	the	the	DET
sc-1145	64	19	required	require	VERB
sc-1145	64	20	reduction	reduction	NOUN
sc-1145	64	21	values	value	NOUN
sc-1145	64	22	in	in	ADP
sc-1145	64	23	each	each	DET
sc-1145	64	24	moment	moment	NOUN
sc-1145	64	25	.	.	PUNCT
sc-1145	65	1	this	this	DET
sc-1145	65	2	approach	approach	NOUN
sc-1145	65	3	couples	couple	VERB
sc-1145	65	4	cbr	cbr	PROPN
sc-1145	65	5	and	and	CCONJ
sc-1145	65	6	an	an	DET
sc-1145	65	7	intelligent	intelligent	ADJ
sc-1145	65	8	house	house	NOUN
sc-1145	65	9	management	management	NOUN
sc-1145	65	10	to	to	PART
sc-1145	65	11	obtain	obtain	VERB
sc-1145	65	12	suggested	suggest	VERB
sc-1145	65	13	reduction	reduction	NOUN
sc-1145	65	14	values	value	NOUN
sc-1145	65	15	for	for	ADP
sc-1145	65	16	house	house	NOUN
sc-1145	65	17	energy	energy	NOUN
sc-1145	65	18	management	management	NOUN
sc-1145	65	19	.	.	PUNCT
sc-1145	66	1	authors	author	NOUN
sc-1145	66	2	analyze	analyze	VERB
sc-1145	66	3	the	the	DET
sc-1145	66	4	history	history	NOUN
sc-1145	66	5	of	of	ADP
sc-1145	66	6	previous	previous	ADJ
sc-1145	66	7	cases	case	NOUN
sc-1145	66	8	of	of	ADP
sc-1145	66	9	energy	energy	NOUN
sc-1145	66	10	reduction	reduction	NOUN
sc-1145	66	11	in	in	ADP
sc-1145	66	12	buildings	building	NOUN
sc-1145	66	13	,	,	PUNCT
sc-1145	66	14	and	and	CCONJ
sc-1145	66	15	using	use	VERB
sc-1145	66	16	them	they	PRON
sc-1145	66	17	to	to	PART
sc-1145	66	18	provide	provide	VERB
sc-1145	66	19	a	a	DET
sc-1145	66	20	suggestion	suggestion	NOUN
sc-1145	66	21	on	on	ADP
sc-1145	66	22	the	the	DET
sc-1145	66	23	ideal	ideal	ADJ
sc-1145	66	24	level	level	NOUN
sc-1145	66	25	of	of	ADP
sc-1145	66	26	energy	energy	NOUN
sc-1145	66	27	reduction	reduction	NOUN
sc-1145	66	28	that	that	PRON
sc-1145	66	29	should	should	AUX
sc-1145	66	30	be	be	AUX
sc-1145	66	31	applied	apply	VERB
sc-1145	66	32	in	in	ADP
sc-1145	66	33	the	the	DET
sc-1145	66	34	consumption	consumption	NOUN
sc-1145	66	35	of	of	ADP
sc-1145	66	36	houses	house	NOUN
sc-1145	66	37	.	.	PUNCT
sc-1145	67	1	gonzález	gonzález	PROPN
sc-1145	67	2	-	-	PUNCT
sc-1145	67	3	briones	briones	PROPN
sc-1145	67	4	et	et	NOUN
sc-1145	67	5	al	al	PROPN
sc-1145	67	6	.	.	PUNCT
sc-1145	68	1	[	[	X
sc-1145	68	2	6	6	NUM
sc-1145	68	3	]	]	PUNCT
sc-1145	68	4	,	,	PUNCT
sc-1145	68	5	[	[	X
sc-1145	68	6	11	11	NUM
sc-1145	68	7	]	]	PUNCT
sc-1145	68	8	aim	aim	VERB
sc-1145	68	9	to	to	PART
sc-1145	68	10	prevent	prevent	VERB
sc-1145	68	11	temperature	temperature	NOUN
sc-1145	68	12	jump	jump	NOUN
sc-1145	68	13	of	of	ADP
sc-1145	68	14	the	the	DET
sc-1145	68	15	heating	heating	NOUN
sc-1145	68	16	,	,	PUNCT
sc-1145	68	17	ventilation	ventilation	NOUN
sc-1145	68	18	and	and	CCONJ
sc-1145	68	19	air	air	NOUN
sc-1145	68	20	-	-	PUNCT
sc-1145	68	21	conditioning	conditioning	NOUN
sc-1145	68	22	(	(	PUNCT
sc-1145	68	23	hvac	hvac	NOUN
sc-1145	68	24	)	)	PUNCT
sc-1145	68	25	system	system	NOUN
sc-1145	68	26	by	by	ADP
sc-1145	68	27	anonymously	anonymously	ADV
sc-1145	68	28	analyzing	analyze	VERB
sc-1145	68	29	parameters	parameter	NOUN
sc-1145	68	30	influencing	influence	VERB
sc-1145	68	31	energy	energy	NOUN
sc-1145	68	32	consumption	consumption	NOUN
sc-1145	68	33	.	.	PUNCT
sc-1145	69	1	while	while	SCONJ
sc-1145	69	2	,	,	PUNCT
sc-1145	69	3	considering	consider	VERB
sc-1145	69	4	the	the	DET
sc-1145	69	5	presence	presence	NOUN
sc-1145	69	6	of	of	ADP
sc-1145	69	7	people	people	NOUN
sc-1145	69	8	in	in	ADP
sc-1145	69	9	the	the	DET
sc-1145	69	10	building	building	NOUN
sc-1145	69	11	as	as	ADV
sc-1145	69	12	well	well	ADV
sc-1145	69	13	as	as	ADP
sc-1145	69	14	forecasted	forecast	VERB
sc-1145	69	15	in	in	ADP
sc-1145	69	16	-	-	PUNCT
sc-1145	69	17	door	door	NOUN
sc-1145	69	18	and	and	CCONJ
sc-1145	69	19	out	out	ADJ
sc-1145	69	20	-	-	PUNCT
sc-1145	69	21	door	door	NOUN
sc-1145	69	22	temperature	temperature	NOUN
sc-1145	69	23	fluctuations	fluctuation	NOUN
sc-1145	69	24	.	.	PUNCT
sc-1145	70	1	they	they	PRON
sc-1145	70	2	propose	propose	VERB
sc-1145	70	3	a	a	DET
sc-1145	70	4	multi	multi	ADJ
sc-1145	70	5	-	-	ADJ
sc-1145	70	6	agent	agent	ADJ
sc-1145	70	7	system	system	NOUN
sc-1145	70	8	to	to	PART
sc-1145	70	9	optimize	optimize	VERB
sc-1145	70	10	energy	energy	NOUN
sc-1145	70	11	usage	usage	NOUN
sc-1145	70	12	relying	rely	VERB
sc-1145	70	13	on	on	ADP
sc-1145	70	14	information	information	NOUN
sc-1145	70	15	related	relate	VERB
sc-1145	70	16	to	to	ADP
sc-1145	70	17	the	the	DET
sc-1145	70	18	inhabitants	inhabitant	NOUN
sc-1145	70	19	captured	capture	VERB
sc-1145	70	20	by	by	ADP
sc-1145	70	21	sensors	sensor	NOUN
sc-1145	70	22	and	and	CCONJ
sc-1145	70	23	a	a	DET
sc-1145	70	24	cbr	cbr	NOUN
sc-1145	70	25	system	system	NOUN
sc-1145	70	26	,	,	PUNCT
sc-1145	70	27	in	in	ADP
sc-1145	70	28	conjunction	conjunction	NOUN
sc-1145	70	29	with	with	ADP
sc-1145	70	30	the	the	DET
sc-1145	70	31	current	current	ADJ
sc-1145	70	32	indoor	indoor	ADJ
sc-1145	70	33	and	and	CCONJ
sc-1145	70	34	outdoor	outdoor	ADJ
sc-1145	70	35	temperature	temperature	NOUN
sc-1145	70	36	together	together	ADV
sc-1145	70	37	with	with	ADP
sc-1145	70	38	the	the	DET
sc-1145	70	39	future	future	ADJ
sc-1145	70	40	temperature	temperature	NOUN
sc-1145	70	41	.	.	PUNCT
sc-1145	71	1	based	base	VERB
sc-1145	71	2	on	on	ADP
sc-1145	71	3	cbr	cbr	PROPN
sc-1145	71	4	,	,	PUNCT
sc-1145	71	5	the	the	DET
sc-1145	71	6	system	system	NOUN
sc-1145	71	7	recommends	recommend	VERB
sc-1145	71	8	the	the	DET
sc-1145	71	9	best	good	ADJ
sc-1145	71	10	possible	possible	ADJ
sc-1145	71	11	energy	energy	NOUN
sc-1145	71	12	saving	save	VERB
sc-1145	71	13	techniques	technique	NOUN
sc-1145	71	14	in	in	ADP
sc-1145	71	15	the	the	DET
sc-1145	71	16	building	building	NOUN
sc-1145	71	17	and	and	CCONJ
sc-1145	71	18	propose	propose	VERB
sc-1145	71	19	changes	change	NOUN
sc-1145	71	20	in	in	ADP
sc-1145	71	21	the	the	DET
sc-1145	71	22	habits	habit	NOUN
sc-1145	71	23	of	of	ADP
sc-1145	71	24	the	the	DET
sc-1145	71	25	inhabitants	inhabitant	NOUN
sc-1145	71	26	.	.	PUNCT
sc-1145	72	1	minor	minor	ADJ
sc-1145	72	2	and	and	CCONJ
sc-1145	72	3	max	max	PROPN
sc-1145	73	1	[	[	X
sc-1145	73	2	12	12	NUM
sc-1145	73	3	]	]	PUNCT
sc-1145	73	4	investigate	investigate	VERB
sc-1145	73	5	the	the	DET
sc-1145	73	6	replacement	replacement	NOUN
sc-1145	73	7	of	of	ADP
sc-1145	73	8	traditional	traditional	ADJ
sc-1145	73	9	proportional	proportional	ADJ
sc-1145	73	10	-	-	PUNCT
sc-1145	73	11	integralderivative	integralderivative	ADJ
sc-1145	73	12	loops	loop	NOUN
sc-1145	73	13	(	(	PUNCT
sc-1145	73	14	pid	pid	NOUN
sc-1145	73	15	)	)	PUNCT
sc-1145	73	16	controller	controller	NOUN
sc-1145	73	17	by	by	ADP
sc-1145	73	18	a	a	DET
sc-1145	73	19	cbr	cbr	NOUN
sc-1145	73	20	system	system	NOUN
sc-1145	73	21	for	for	ADP
sc-1145	73	22	the	the	DET
sc-1145	73	23	experience	experience	NOUN
sc-1145	73	24	-	-	PUNCT
sc-1145	73	25	based	base	VERB
sc-1145	73	26	control	control	NOUN
sc-1145	73	27	of	of	ADP
sc-1145	73	28	inert	inert	ADJ
sc-1145	73	29	systems	system	NOUN
sc-1145	73	30	and	and	CCONJ
sc-1145	73	31	demonstrated	demonstrate	VERB
sc-1145	73	32	the	the	DET
sc-1145	73	33	feasibility	feasibility	NOUN
sc-1145	73	34	of	of	ADP
sc-1145	73	35	the	the	DET
sc-1145	73	36	approach	approach	NOUN
sc-1145	73	37	for	for	ADP
sc-1145	73	38	the	the	DET
sc-1145	73	39	reduction	reduction	NOUN
sc-1145	73	40	of	of	ADP
sc-1145	73	41	energy	energy	NOUN
sc-1145	73	42	wastage	wastage	NOUN
sc-1145	73	43	.	.	PUNCT
sc-1145	74	1	kadir	kadir	PROPN
sc-1145	74	2	et	et	PROPN
sc-1145	74	3	al	al	PROPN
sc-1145	74	4	.	.	PUNCT
sc-1145	75	1	[	[	X
sc-1145	75	2	13	13	NUM
sc-1145	75	3	]	]	PUNCT
sc-1145	75	4	show	show	VERB
sc-1145	75	5	that	that	SCONJ
sc-1145	75	6	energy	energy	NOUN
sc-1145	75	7	consumption	consumption	NOUN
sc-1145	75	8	of	of	ADP
sc-1145	75	9	a	a	DET
sc-1145	75	10	building	building	NOUN
sc-1145	75	11	can	can	AUX
sc-1145	75	12	be	be	AUX
sc-1145	75	13	predicted	predict	VERB
sc-1145	75	14	by	by	ADP
sc-1145	75	15	focusing	focus	VERB
sc-1145	75	16	on	on	ADP
sc-1145	75	17	the	the	DET
sc-1145	75	18	properties	property	NOUN
sc-1145	75	19	of	of	ADP
sc-1145	75	20	the	the	DET
sc-1145	75	21	data	datum	NOUN
sc-1145	75	22	and	and	CCONJ
sc-1145	75	23	their	their	PRON
sc-1145	75	24	pretreatment	pretreatment	NOUN
sc-1145	75	25	methods	method	NOUN
sc-1145	75	26	.	.	PUNCT
sc-1145	76	1	authors	author	NOUN
sc-1145	76	2	use	use	VERB
sc-1145	76	3	automatic	automatic	ADJ
sc-1145	76	4	learning	learning	NOUN
sc-1145	76	5	algorithms	algorithm	NOUN
sc-1145	76	6	for	for	ADP
sc-1145	76	7	the	the	DET
sc-1145	76	8	prediction	prediction	NOUN
sc-1145	76	9	.	.	PUNCT
sc-1145	77	1	problem	problem	NOUN
sc-1145	77	2	statement	statement	NOUN
sc-1145	77	3	the	the	DET
sc-1145	77	4	aforementioned	aforementione	VERB
sc-1145	77	5	works	work	NOUN
sc-1145	77	6	are	be	AUX
sc-1145	77	7	limited	limit	VERB
sc-1145	77	8	in	in	ADP
sc-1145	77	9	three	three	NUM
sc-1145	77	10	points	point	NOUN
sc-1145	77	11	.	.	PUNCT
sc-1145	78	1	firstly	firstly	ADV
sc-1145	78	2	,	,	PUNCT
sc-1145	78	3	several	several	ADJ
sc-1145	78	4	cases	case	NOUN
sc-1145	78	5	with	with	ADP
sc-1145	78	6	similarity	similarity	NOUN
sc-1145	78	7	between	between	ADP
sc-1145	78	8	each	each	DET
sc-1145	78	9	others	other	NOUN
sc-1145	78	10	are	be	AUX
sc-1145	78	11	required	require	VERB
sc-1145	78	12	to	to	PART
sc-1145	78	13	reach	reach	VERB
sc-1145	78	14	good	good	ADJ
sc-1145	78	15	results	result	NOUN
sc-1145	78	16	and	and	CCONJ
sc-1145	78	17	existing	exist	VERB
sc-1145	78	18	cases	case	NOUN
sc-1145	78	19	in	in	ADP
sc-1145	78	20	the	the	DET
sc-1145	78	21	case	case	NOUN
sc-1145	78	22	base	base	NOUN
sc-1145	78	23	should	should	AUX
sc-1145	78	24	cover	cover	VERB
sc-1145	78	25	every	every	DET
sc-1145	78	26	possible	possible	ADJ
sc-1145	78	27	option	option	NOUN
sc-1145	78	28	or	or	CCONJ
sc-1145	78	29	at	at	ADP
sc-1145	78	30	least	least	ADJ
sc-1145	78	31	similar	similar	ADJ
sc-1145	78	32	cases	case	NOUN
sc-1145	78	33	.	.	PUNCT
sc-1145	79	1	these	these	DET
sc-1145	79	2	facts	fact	NOUN
sc-1145	79	3	are	be	AUX
sc-1145	79	4	difficult	difficult	ADJ
sc-1145	79	5	to	to	PART
sc-1145	79	6	verify	verify	VERB
sc-1145	79	7	,	,	PUNCT
sc-1145	79	8	especially	especially	ADV
sc-1145	79	9	in	in	ADP
sc-1145	79	10	early	early	ADJ
sc-1145	79	11	stages	stage	NOUN
sc-1145	79	12	of	of	ADP
sc-1145	79	13	the	the	DET
sc-1145	79	14	management	management	NOUN
sc-1145	79	15	and	and	CCONJ
sc-1145	79	16	execution	execution	NOUN
sc-1145	79	17	.	.	PUNCT
sc-1145	80	1	concerning	concern	VERB
sc-1145	80	2	this	this	DET
sc-1145	80	3	issue	issue	NOUN
sc-1145	80	4	,	,	PUNCT
sc-1145	80	5	this	this	DET
sc-1145	80	6	research	research	NOUN
sc-1145	80	7	supposes	suppose	VERB
sc-1145	80	8	to	to	PART
sc-1145	80	9	have	have	VERB
sc-1145	80	10	a	a	DET
sc-1145	80	11	consistent	consistent	ADJ
sc-1145	80	12	dataset	dataset	NOUN
sc-1145	80	13	as	as	ADP
sc-1145	80	14	input	input	NOUN
sc-1145	80	15	.	.	PUNCT
sc-1145	81	1	secondly	secondly	ADV
sc-1145	81	2	,	,	PUNCT
sc-1145	81	3	the	the	DET
sc-1145	81	4	proposed	propose	VERB
sc-1145	81	5	cbr	cbr	PROPN
sc-1145	81	6	approaches	approach	NOUN
sc-1145	81	7	are	be	AUX
sc-1145	81	8	so	so	ADV
sc-1145	81	9	far	far	ADV
sc-1145	81	10	specific	specific	ADJ
sc-1145	81	11	and	and	CCONJ
sc-1145	81	12	problem	problem	NOUN
sc-1145	81	13	-	-	PUNCT
sc-1145	81	14	oriented	orient	VERB
sc-1145	81	15	.	.	PUNCT
sc-1145	82	1	and	and	CCONJ
sc-1145	82	2	the	the	DET
sc-1145	82	3	application	application	NOUN
sc-1145	82	4	of	of	ADP
sc-1145	82	5	these	these	DET
sc-1145	82	6	models	model	NOUN
sc-1145	82	7	in	in	ADP
sc-1145	82	8	other	other	ADJ
sc-1145	82	9	area	area	NOUN
sc-1145	82	10	,	,	PUNCT
sc-1145	82	11	or	or	CCONJ
sc-1145	82	12	slightly	slightly	ADV
sc-1145	82	13	different	different	ADJ
sc-1145	82	14	problems	problem	NOUN
sc-1145	82	15	,	,	PUNCT
sc-1145	82	16	require	require	VERB
sc-1145	82	17	significant	significant	ADJ
sc-1145	82	18	changes	change	NOUN
sc-1145	82	19	.	.	PUNCT
sc-1145	83	1	this	this	DET
sc-1145	83	2	research	research	NOUN
sc-1145	83	3	intends	intend	VERB
sc-1145	83	4	to	to	PART
sc-1145	83	5	provide	provide	VERB
sc-1145	83	6	functionalities	functionality	NOUN
sc-1145	83	7	in	in	ADP
sc-1145	83	8	each	each	DET
sc-1145	83	9	cbr	cbr	NOUN
sc-1145	83	10	process	process	NOUN
sc-1145	83	11	so	so	SCONJ
sc-1145	83	12	that	that	SCONJ
sc-1145	83	13	they	they	PRON
sc-1145	83	14	can	can	AUX
sc-1145	83	15	be	be	AUX
sc-1145	83	16	parameterized	parameterized	ADJ
sc-1145	83	17	to	to	ADP
sc-1145	83	18	every	every	DET
sc-1145	83	19	problem	problem	NOUN
sc-1145	83	20	instance	instance	NOUN
sc-1145	83	21	.	.	PUNCT
sc-1145	84	1	thirdly	thirdly	ADV
sc-1145	84	2	,	,	PUNCT
sc-1145	84	3	the	the	DET
sc-1145	84	4	rules	rule	NOUN
sc-1145	84	5	obtained	obtain	VERB
sc-1145	84	6	in	in	ADP
sc-1145	84	7	the	the	DET
sc-1145	84	8	revise	revise	NOUN
sc-1145	84	9	stage	stage	NOUN
sc-1145	84	10	are	be	AUX
sc-1145	84	11	subjective	subjective	ADJ
sc-1145	84	12	.	.	PUNCT
sc-1145	85	1	this	this	DET
sc-1145	85	2	research	research	NOUN
sc-1145	85	3	relies	rely	VERB
sc-1145	85	4	on	on	ADP
sc-1145	85	5	supervised	supervised	ADJ
sc-1145	85	6	learning	learn	VERB
sc-1145	85	7	to	to	PART
sc-1145	85	8	produce	produce	VERB
sc-1145	85	9	knowledge	knowledge	NOUN
sc-1145	85	10	to	to	PART
sc-1145	85	11	adapt	adapt	VERB
sc-1145	85	12	the	the	DET
sc-1145	85	13	solution	solution	NOUN
sc-1145	85	14	to	to	PART
sc-1145	85	15	fit	fit	VERB
sc-1145	85	16	to	to	ADP
sc-1145	85	17	the	the	DET
sc-1145	85	18	problem	problem	NOUN
sc-1145	85	19	’s	’s	PART
sc-1145	85	20	new	new	ADJ
sc-1145	85	21	case	case	NOUN
sc-1145	85	22	.	.	PUNCT
sc-1145	86	1	2	2	NUM
sc-1145	86	2	eai	eai	NOUN
sc-1145	86	3	endorsed	endorse	VERB
sc-1145	86	4	transactions	transaction	NOUN
sc-1145	86	5	on	on	ADP
sc-1145	86	6	smart	smart	ADJ
sc-1145	86	7	cities	city	NOUN
sc-1145	86	8	06	06	NUM
sc-1145	86	9	2018	2018	NUM
sc-1145	86	10	02	02	NUM
sc-1145	86	11	2020	2020	NUM
sc-1145	86	12	|	|	ADV
sc-1145	86	13	volume	volume	NOUN
sc-1145	86	14	4	4	NUM
sc-1145	86	15	|	|	NOUN
sc-1145	86	16	issue	issue	NOUN
sc-1145	86	17	9	9	NUM
sc-1145	86	18	|	|	NOUN
sc-1145	86	19	e4	e4	VERB
sc-1145	86	20	a	a	DET
sc-1145	86	21	case	case	NOUN
sc-1145	86	22	based	base	VERB
sc-1145	86	23	reasoning	reasoning	NOUN
sc-1145	86	24	coupling	couple	VERB
sc-1145	86	25	multi	multi	ADJ
sc-1145	86	26	-	-	ADJ
sc-1145	86	27	criteria	criterion	NOUN
sc-1145	86	28	decision	decision	NOUN
sc-1145	86	29	making	make	VERB
sc-1145	86	30	with	with	ADP
sc-1145	86	31	learning	learning	NOUN
sc-1145	86	32	and	and	CCONJ
sc-1145	86	33	optimization	optimization	NOUN
sc-1145	86	34	intelligences	intelligence	NOUN
sc-1145	86	35	:	:	PUNCT
sc-1145	86	36	application	application	NOUN
sc-1145	86	37	to	to	ADP
sc-1145	86	38	energy	energy	NOUN
sc-1145	86	39	consumption	consumption	NOUN
sc-1145	86	40	3	3	NUM
sc-1145	86	41	.	.	PUNCT
sc-1145	87	1	background	background	NOUN
sc-1145	87	2	this	this	DET
sc-1145	87	3	section	section	NOUN
sc-1145	87	4	presents	present	VERB
sc-1145	87	5	different	different	ADJ
sc-1145	87	6	concepts	concept	NOUN
sc-1145	87	7	required	require	VERB
sc-1145	87	8	for	for	ADP
sc-1145	87	9	the	the	DET
sc-1145	87	10	cbr	cbr	NOUN
sc-1145	87	11	proposal	proposal	NOUN
sc-1145	87	12	.	.	PUNCT
sc-1145	88	1	3.1	3.1	NUM
sc-1145	88	2	.	.	PUNCT
sc-1145	88	3	case	case	NOUN
sc-1145	88	4	-	-	PUNCT
sc-1145	88	5	based	base	VERB
sc-1145	88	6	reasoning	reasoning	NOUN
sc-1145	88	7	the	the	DET
sc-1145	88	8	case	case	NOUN
sc-1145	88	9	-	-	PUNCT
sc-1145	88	10	based	base	VERB
sc-1145	88	11	reasoning	reasoning	NOUN
sc-1145	88	12	is	be	AUX
sc-1145	88	13	the	the	DET
sc-1145	88	14	result	result	NOUN
sc-1145	88	15	of	of	ADP
sc-1145	88	16	the	the	DET
sc-1145	88	17	work	work	NOUN
sc-1145	88	18	of	of	ADP
sc-1145	88	19	roger	roger	PROPN
sc-1145	88	20	schank	schank	PROPN
sc-1145	88	21	and	and	CCONJ
sc-1145	88	22	his	his	PRON
sc-1145	88	23	students	student	NOUN
sc-1145	88	24	at	at	ADP
sc-1145	88	25	yale	yale	PROPN
sc-1145	88	26	university	university	PROPN
sc-1145	88	27	in	in	ADP
sc-1145	88	28	1980s	1980	NOUN
sc-1145	88	29	[	[	X
sc-1145	88	30	2	2	NUM
sc-1145	88	31	]	]	PUNCT
sc-1145	88	32	.	.	PUNCT
sc-1145	89	1	the	the	DET
sc-1145	89	2	purpose	purpose	NOUN
sc-1145	89	3	of	of	ADP
sc-1145	89	4	his	his	PRON
sc-1145	89	5	work	work	NOUN
sc-1145	89	6	was	be	AUX
sc-1145	89	7	based	base	VERB
sc-1145	89	8	on	on	ADP
sc-1145	89	9	dynamic	dynamic	ADJ
sc-1145	89	10	memory	memory	NOUN
sc-1145	89	11	and	and	CCONJ
sc-1145	89	12	learning	learning	NOUN
sc-1145	89	13	for	for	ADP
sc-1145	89	14	the	the	DET
sc-1145	89	15	story	story	NOUN
sc-1145	89	16	set	set	VERB
sc-1145	89	17	in	in	ADP
sc-1145	89	18	natural	natural	ADJ
sc-1145	89	19	language	language	NOUN
sc-1145	89	20	[	[	X
sc-1145	89	21	14	14	NUM
sc-1145	89	22	]	]	PUNCT
sc-1145	89	23	.	.	PUNCT
sc-1145	90	1	the	the	DET
sc-1145	90	2	first	first	ADJ
sc-1145	90	3	cbr	cbr	NOUN
sc-1145	90	4	system	system	NOUN
sc-1145	90	5	called	call	VERB
sc-1145	90	6	cyrus	cyrus	PROPN
sc-1145	90	7	was	be	AUX
sc-1145	90	8	developed	develop	VERB
sc-1145	90	9	by	by	ADP
sc-1145	90	10	janet	janet	PROPN
sc-1145	90	11	kololner	kololner	PROPN
sc-1145	90	12	using	use	VERB
sc-1145	90	13	schank	schank	NOUN
sc-1145	90	14	’s	’s	PART
sc-1145	90	15	ideas	idea	NOUN
sc-1145	90	16	[	[	X
sc-1145	90	17	5	5	NUM
sc-1145	90	18	]	]	PUNCT
sc-1145	90	19	.	.	PUNCT
sc-1145	91	1	this	this	DET
sc-1145	91	2	system	system	NOUN
sc-1145	91	3	was	be	AUX
sc-1145	91	4	fundamentally	fundamentally	ADV
sc-1145	91	5	focused	focus	VERB
sc-1145	91	6	on	on	ADP
sc-1145	91	7	a	a	DET
sc-1145	91	8	question	question	NOUN
sc-1145	91	9	-	-	PUNCT
sc-1145	91	10	and	and	CCONJ
sc-1145	91	11	-	-	PUNCT
sc-1145	91	12	answer	answer	NOUN
sc-1145	91	13	system	system	NOUN
sc-1145	91	14	concerning	concern	VERB
sc-1145	91	15	the	the	DET
sc-1145	91	16	various	various	ADJ
sc-1145	91	17	trips	trip	NOUN
sc-1145	91	18	and	and	CCONJ
sc-1145	91	19	meetings	meeting	NOUN
sc-1145	91	20	of	of	ADP
sc-1145	91	21	former	former	ADJ
sc-1145	91	22	secretary	secretary	PROPN
sc-1145	91	23	of	of	ADP
sc-1145	91	24	state	state	PROPN
sc-1145	91	25	cyrus	cyrus	PROPN
sc-1145	91	26	vance	vance	PROPN
sc-1145	92	1	[	[	X
sc-1145	92	2	15	15	NUM
sc-1145	92	3	]	]	PUNCT
sc-1145	92	4	.	.	PUNCT
sc-1145	93	1	bruce	bruce	PROPN
sc-1145	93	2	porter	porter	PROPN
sc-1145	93	3	and	and	CCONJ
sc-1145	93	4	his	his	PRON
sc-1145	93	5	team	team	NOUN
sc-1145	93	6	later	later	ADV
sc-1145	93	7	developed	develop	VERB
sc-1145	93	8	the	the	DET
sc-1145	93	9	protos	protos	ADJ
sc-1145	93	10	system	system	NOUN
sc-1145	93	11	which	which	PRON
sc-1145	93	12	is	be	AUX
sc-1145	93	13	a	a	DET
sc-1145	93	14	cbr	cbr	NOUN
sc-1145	93	15	system	system	NOUN
sc-1145	93	16	used	use	VERB
sc-1145	93	17	in	in	ADP
sc-1145	93	18	the	the	DET
sc-1145	93	19	classification	classification	NOUN
sc-1145	93	20	of	of	ADP
sc-1145	93	21	stains	stain	NOUN
sc-1145	93	22	[	[	X
sc-1145	93	23	16	16	NUM
sc-1145	93	24	]	]	PUNCT
sc-1145	93	25	.	.	PUNCT
sc-1145	94	1	cbr	cbr	PROPN
sc-1145	94	2	is	be	AUX
sc-1145	94	3	a	a	DET
sc-1145	94	4	knowledge	knowledge	NOUN
sc-1145	94	5	-	-	PUNCT
sc-1145	94	6	based	base	VERB
sc-1145	94	7	system	system	NOUN
sc-1145	94	8	where	where	SCONJ
sc-1145	94	9	the	the	DET
sc-1145	94	10	most	most	ADV
sc-1145	94	11	suitable	suitable	ADJ
sc-1145	94	12	solution	solution	NOUN
sc-1145	94	13	to	to	ADP
sc-1145	94	14	a	a	DET
sc-1145	94	15	decisionmaking	decisionmake	VERB
sc-1145	94	16	problem	problem	NOUN
sc-1145	94	17	based	base	VERB
sc-1145	94	18	on	on	ADP
sc-1145	94	19	the	the	DET
sc-1145	94	20	most	most	ADV
sc-1145	94	21	similar	similar	ADJ
sc-1145	94	22	cases	case	NOUN
sc-1145	94	23	stored	store	VERB
sc-1145	94	24	in	in	ADP
sc-1145	94	25	a	a	DET
sc-1145	94	26	database	database	NOUN
sc-1145	94	27	[	[	X
sc-1145	94	28	17	17	NUM
sc-1145	94	29	]	]	PUNCT
sc-1145	94	30	.	.	PUNCT
sc-1145	95	1	based	base	VERB
sc-1145	95	2	on	on	ADP
sc-1145	95	3	its	its	PRON
sc-1145	95	4	methodology	methodology	NOUN
sc-1145	95	5	,	,	PUNCT
sc-1145	95	6	casebased	casebase	VERB
sc-1145	95	7	reasoning	reasoning	NOUN
sc-1145	95	8	means	mean	VERB
sc-1145	95	9	using	use	VERB
sc-1145	95	10	old	old	ADJ
sc-1145	95	11	cases	case	NOUN
sc-1145	95	12	from	from	ADP
sc-1145	95	13	the	the	DET
sc-1145	95	14	case	case	NOUN
sc-1145	95	15	database	database	NOUN
sc-1145	95	16	to	to	PART
sc-1145	95	17	find	find	VERB
sc-1145	95	18	the	the	DET
sc-1145	95	19	solution	solution	NOUN
sc-1145	95	20	to	to	ADP
sc-1145	95	21	a	a	DET
sc-1145	95	22	new	new	ADJ
sc-1145	95	23	case	case	NOUN
sc-1145	95	24	,	,	PUNCT
sc-1145	95	25	adapting	adapt	VERB
sc-1145	95	26	old	old	ADJ
sc-1145	95	27	solutions	solution	NOUN
sc-1145	95	28	to	to	ADP
sc-1145	95	29	new	new	ADJ
sc-1145	95	30	solution	solution	NOUN
sc-1145	95	31	requests	request	NOUN
sc-1145	95	32	or	or	CCONJ
sc-1145	95	33	using	use	VERB
sc-1145	95	34	old	old	ADJ
sc-1145	95	35	cases	case	NOUN
sc-1145	95	36	of	of	ADP
sc-1145	95	37	the	the	DET
sc-1145	95	38	case	case	NOUN
sc-1145	95	39	database	database	NOUN
sc-1145	95	40	to	to	PART
sc-1145	95	41	compare	compare	VERB
sc-1145	95	42	and	and	CCONJ
sc-1145	95	43	or	or	CCONJ
sc-1145	95	44	criticize	criticize	VERB
sc-1145	95	45	new	new	ADJ
sc-1145	95	46	situations	situation	NOUN
sc-1145	95	47	[	[	X
sc-1145	95	48	18	18	NUM
sc-1145	95	49	]	]	PUNCT
sc-1145	95	50	.	.	PUNCT
sc-1145	96	1	case	case	NOUN
sc-1145	96	2	-	-	PUNCT
sc-1145	96	3	based	base	VERB
sc-1145	96	4	reasoning	reasoning	NOUN
sc-1145	96	5	is	be	AUX
sc-1145	96	6	based	base	VERB
sc-1145	96	7	on	on	ADP
sc-1145	96	8	artificial	artificial	ADJ
sc-1145	96	9	intelligence	intelligence	NOUN
sc-1145	96	10	tools	tool	NOUN
sc-1145	96	11	used	use	VERB
sc-1145	96	12	by	by	ADP
sc-1145	96	13	designers	designer	NOUN
sc-1145	96	14	to	to	PART
sc-1145	96	15	build	build	VERB
sc-1145	96	16	knowledge	knowledge	NOUN
sc-1145	96	17	-	-	PUNCT
sc-1145	96	18	based	base	VERB
sc-1145	96	19	systems	system	NOUN
sc-1145	96	20	.	.	PUNCT
sc-1145	97	1	it	it	PRON
sc-1145	97	2	requires	require	VERB
sc-1145	97	3	little	little	ADJ
sc-1145	97	4	effort	effort	NOUN
sc-1145	97	5	in	in	ADP
sc-1145	97	6	terms	term	NOUN
sc-1145	97	7	of	of	ADP
sc-1145	97	8	acquiring	acquire	VERB
sc-1145	97	9	bias	bias	NOUN
sc-1145	97	10	judgements	judgement	NOUN
sc-1145	97	11	from	from	ADP
sc-1145	97	12	experts	expert	NOUN
sc-1145	97	13	.	.	PUNCT
sc-1145	98	1	the	the	DET
sc-1145	98	2	choice	choice	NOUN
sc-1145	98	3	of	of	ADP
sc-1145	98	4	cbr	cbr	NOUN
sc-1145	98	5	will	will	AUX
sc-1145	98	6	therefore	therefore	ADV
sc-1145	98	7	provide	provide	VERB
sc-1145	98	8	the	the	DET
sc-1145	98	9	final	final	ADJ
sc-1145	98	10	system	system	NOUN
sc-1145	98	11	with	with	ADP
sc-1145	98	12	memory	memory	NOUN
sc-1145	98	13	and	and	CCONJ
sc-1145	98	14	history	history	NOUN
sc-1145	98	15	.	.	PUNCT
sc-1145	99	1	figure	figure	NOUN
sc-1145	99	2	1	1	NUM
sc-1145	99	3	illustrates	illustrate	VERB
sc-1145	99	4	the	the	DET
sc-1145	99	5	process	process	NOUN
sc-1145	99	6	of	of	ADP
sc-1145	99	7	cbr	cbr	NOUN
sc-1145	99	8	including	include	VERB
sc-1145	99	9	four	four	NUM
sc-1145	99	10	steps	step	NOUN
sc-1145	99	11	:	:	PUNCT
sc-1145	99	12	retrieve	retrieve	VERB
sc-1145	99	13	,	,	PUNCT
sc-1145	99	14	reuse	reuse	NOUN
sc-1145	99	15	,	,	PUNCT
sc-1145	99	16	revise	revise	VERB
sc-1145	99	17	and	and	CCONJ
sc-1145	99	18	retain	retain	VERB
sc-1145	99	19	.	.	PUNCT
sc-1145	100	1	figure	figure	NOUN
sc-1145	100	2	1	1	NUM
sc-1145	100	3	.	.	PUNCT
sc-1145	101	1	cbr	cbr	NOUN
sc-1145	101	2	steps	step	NOUN
sc-1145	101	3	[	[	X
sc-1145	101	4	2	2	NUM
sc-1145	101	5	]	]	PUNCT
sc-1145	101	6	retrieve	retrieve	NOUN
sc-1145	101	7	.	.	PUNCT
sc-1145	102	1	this	this	DET
sc-1145	102	2	step	step	NOUN
sc-1145	102	3	extracts	extract	VERB
sc-1145	102	4	knowledge	knowledge	NOUN
sc-1145	102	5	,	,	PUNCT
sc-1145	102	6	relevant	relevant	ADJ
sc-1145	102	7	cases	case	NOUN
sc-1145	102	8	that	that	PRON
sc-1145	102	9	solve	solve	VERB
sc-1145	102	10	the	the	DET
sc-1145	102	11	given	give	VERB
sc-1145	102	12	target	target	NOUN
sc-1145	102	13	problem	problem	NOUN
sc-1145	102	14	[	[	X
sc-1145	102	15	19	19	NUM
sc-1145	102	16	]	]	PUNCT
sc-1145	102	17	.	.	PUNCT
sc-1145	103	1	the	the	DET
sc-1145	103	2	retrieve	retrieve	NOUN
sc-1145	103	3	phase	phase	NOUN
sc-1145	103	4	is	be	AUX
sc-1145	103	5	very	very	ADV
sc-1145	103	6	important	important	ADJ
sc-1145	103	7	for	for	ADP
sc-1145	103	8	cbr	cbr	NOUN
sc-1145	103	9	utility	utility	NOUN
sc-1145	103	10	as	as	SCONJ
sc-1145	103	11	shown	show	VERB
sc-1145	103	12	in	in	ADP
sc-1145	103	13	figure	figure	NOUN
sc-1145	103	14	1	1	NUM
sc-1145	103	15	.	.	PUNCT
sc-1145	104	1	it	it	PRON
sc-1145	104	2	finds	find	VERB
sc-1145	104	3	similar	similar	ADJ
sc-1145	104	4	cases	case	NOUN
sc-1145	104	5	to	to	ADP
sc-1145	104	6	the	the	DET
sc-1145	104	7	new	new	ADJ
sc-1145	104	8	case	case	NOUN
sc-1145	104	9	in	in	ADP
sc-1145	104	10	the	the	DET
sc-1145	104	11	case	case	NOUN
sc-1145	104	12	base	base	NOUN
sc-1145	104	13	and	and	CCONJ
sc-1145	104	14	compares	compare	VERB
sc-1145	104	15	them	they	PRON
sc-1145	104	16	with	with	ADP
sc-1145	104	17	the	the	DET
sc-1145	104	18	new	new	ADJ
sc-1145	104	19	case	case	NOUN
sc-1145	104	20	.	.	PUNCT
sc-1145	105	1	this	this	DET
sc-1145	105	2	stage	stage	NOUN
sc-1145	105	3	has	have	VERB
sc-1145	105	4	some	some	DET
sc-1145	105	5	classical	classical	ADJ
sc-1145	105	6	methods	method	NOUN
sc-1145	105	7	like	like	ADP
sc-1145	105	8	k	k	NOUN
sc-1145	105	9	-	-	PUNCT
sc-1145	105	10	nearest	near	ADJ
sc-1145	105	11	neighbours(k	neighbours(k	ADP
sc-1145	105	12	-	-	PUNCT
sc-1145	105	13	nn	nn	NOUN
sc-1145	105	14	)	)	PUNCT
sc-1145	106	1	[	[	X
sc-1145	106	2	19	19	NUM
sc-1145	106	3	]	]	PUNCT
sc-1145	106	4	,	,	PUNCT
sc-1145	106	5	or	or	CCONJ
sc-1145	106	6	methods	method	NOUN
sc-1145	106	7	based	base	VERB
sc-1145	106	8	on	on	ADP
sc-1145	106	9	artificial	artificial	ADJ
sc-1145	106	10	intelligence	intelligence	NOUN
sc-1145	106	11	like	like	ADP
sc-1145	106	12	artificial	artificial	ADJ
sc-1145	106	13	neural	neural	ADJ
sc-1145	106	14	networks	network	NOUN
sc-1145	107	1	[	[	X
sc-1145	107	2	18	18	NUM
sc-1145	107	3	]	]	PUNCT
sc-1145	107	4	as	as	ADV
sc-1145	107	5	well	well	ADV
sc-1145	107	6	as	as	ADP
sc-1145	107	7	genetic	genetic	ADJ
sc-1145	107	8	algorithms	algorithm	NOUN
sc-1145	107	9	.	.	PUNCT
sc-1145	108	1	park	park	NOUN
sc-1145	108	2	et	et	PROPN
sc-1145	108	3	al	al	PROPN
sc-1145	108	4	.	.	PUNCT
sc-1145	109	1	[	[	X
sc-1145	109	2	20	20	NUM
sc-1145	109	3	]	]	PUNCT
sc-1145	109	4	demonstrate	demonstrate	VERB
sc-1145	109	5	that	that	SCONJ
sc-1145	109	6	statistical	statistical	ADJ
sc-1145	109	7	tools	tool	NOUN
sc-1145	109	8	can	can	AUX
sc-1145	109	9	also	also	ADV
sc-1145	109	10	be	be	AUX
sc-1145	109	11	exploited	exploit	VERB
sc-1145	109	12	to	to	PART
sc-1145	109	13	recover	recover	VERB
sc-1145	109	14	best	good	ADJ
sc-1145	109	15	similar	similar	ADJ
sc-1145	109	16	cases	case	NOUN
sc-1145	109	17	,	,	PUNCT
sc-1145	109	18	by	by	ADP
sc-1145	109	19	recovering	recover	VERB
sc-1145	109	20	the	the	DET
sc-1145	109	21	optimal	optimal	ADJ
sc-1145	109	22	number	number	NOUN
sc-1145	109	23	of	of	ADP
sc-1145	109	24	neighbours	neighbour	NOUN
sc-1145	109	25	according	accord	VERB
sc-1145	109	26	to	to	ADP
sc-1145	109	27	their	their	PRON
sc-1145	109	28	probability	probability	NOUN
sc-1145	109	29	of	of	ADP
sc-1145	109	30	similarity	similarity	NOUN
sc-1145	109	31	.	.	PUNCT
sc-1145	110	1	reuse	reuse	NOUN
sc-1145	110	2	.	.	PUNCT
sc-1145	111	1	as	as	SCONJ
sc-1145	111	2	shown	show	VERB
sc-1145	111	3	in	in	ADP
sc-1145	111	4	figure	figure	NOUN
sc-1145	111	5	1	1	NUM
sc-1145	111	6	,	,	PUNCT
sc-1145	111	7	the	the	DET
sc-1145	111	8	reuse	reuse	NOUN
sc-1145	111	9	phase	phase	NOUN
sc-1145	111	10	is	be	AUX
sc-1145	111	11	the	the	DET
sc-1145	111	12	second	second	ADJ
sc-1145	111	13	stage	stage	NOUN
sc-1145	111	14	of	of	ADP
sc-1145	111	15	cbr	cbr	NOUN
sc-1145	111	16	.	.	PUNCT
sc-1145	112	1	this	this	DET
sc-1145	112	2	step	step	NOUN
sc-1145	112	3	is	be	AUX
sc-1145	112	4	responsible	responsible	ADJ
sc-1145	112	5	for	for	ADP
sc-1145	112	6	proposing	propose	VERB
sc-1145	112	7	a	a	DET
sc-1145	112	8	solution	solution	NOUN
sc-1145	112	9	to	to	ADP
sc-1145	112	10	the	the	DET
sc-1145	112	11	new	new	ADJ
sc-1145	112	12	problem	problem	NOUN
sc-1145	112	13	[	[	X
sc-1145	112	14	21	21	NUM
sc-1145	112	15	]	]	PUNCT
sc-1145	112	16	.	.	PUNCT
sc-1145	113	1	it	it	PRON
sc-1145	113	2	is	be	AUX
sc-1145	113	3	easy	easy	ADJ
sc-1145	113	4	when	when	SCONJ
sc-1145	113	5	the	the	DET
sc-1145	113	6	similar	similar	ADJ
sc-1145	113	7	case	case	NOUN
sc-1145	113	8	of	of	ADP
sc-1145	113	9	the	the	DET
sc-1145	113	10	retrieve	retrieve	NOUN
sc-1145	113	11	step	step	NOUN
sc-1145	113	12	is	be	AUX
sc-1145	113	13	sufficiently	sufficiently	ADV
sc-1145	113	14	similar	similar	ADJ
sc-1145	113	15	to	to	ADP
sc-1145	113	16	the	the	DET
sc-1145	113	17	new	new	ADJ
sc-1145	113	18	case	case	NOUN
sc-1145	113	19	because	because	SCONJ
sc-1145	113	20	the	the	DET
sc-1145	113	21	solution	solution	NOUN
sc-1145	113	22	of	of	ADP
sc-1145	113	23	the	the	DET
sc-1145	113	24	new	new	ADJ
sc-1145	113	25	case	case	NOUN
sc-1145	113	26	will	will	AUX
sc-1145	113	27	be	be	AUX
sc-1145	113	28	just	just	ADV
sc-1145	113	29	that	that	PRON
sc-1145	113	30	of	of	ADP
sc-1145	113	31	the	the	DET
sc-1145	113	32	similar	similar	ADJ
sc-1145	113	33	case	case	NOUN
sc-1145	113	34	found	find	VERB
sc-1145	113	35	.	.	PUNCT
sc-1145	114	1	the	the	DET
sc-1145	114	2	following	follow	VERB
sc-1145	114	3	approaches	approach	NOUN
sc-1145	114	4	can	can	AUX
sc-1145	114	5	be	be	AUX
sc-1145	114	6	exploited	exploit	VERB
sc-1145	114	7	in	in	ADP
sc-1145	114	8	this	this	DET
sc-1145	114	9	case	case	NOUN
sc-1145	115	1	[	[	X
sc-1145	115	2	22	22	NUM
sc-1145	115	3	]	]	PUNCT
sc-1145	115	4	.	.	PUNCT
sc-1145	116	1	majority	majority	NOUN
sc-1145	116	2	rule	rule	NOUN
sc-1145	116	3	:	:	PUNCT
sc-1145	116	4	the	the	DET
sc-1145	116	5	solution	solution	NOUN
sc-1145	116	6	is	be	AUX
sc-1145	116	7	the	the	DET
sc-1145	116	8	class	class	NOUN
sc-1145	116	9	ci	ci	NOUN
sc-1145	116	10	with	with	ADP
sc-1145	116	11	the	the	DET
sc-1145	116	12	larger	large	ADJ
sc-1145	116	13	number	number	NOUN
sc-1145	116	14	of	of	ADP
sc-1145	116	15	votes(maxcount	votes(maxcount	PROPN
sc-1145	116	16	)	)	PUNCT
sc-1145	116	17	,	,	PUNCT
sc-1145	116	18	i.e.	i.e.	X
sc-1145	116	19	,	,	PUNCT
sc-1145	116	20	the	the	DET
sc-1145	116	21	class	class	NOUN
sc-1145	116	22	that	that	PRON
sc-1145	116	23	has	have	AUX
sc-1145	116	24	solved	solve	VERB
sc-1145	116	25	the	the	DET
sc-1145	116	26	larger	large	ADJ
sc-1145	116	27	number	number	NOUN
sc-1145	116	28	of	of	ADP
sc-1145	116	29	cases	case	NOUN
sc-1145	116	30	in	in	ADP
sc-1145	116	31	the	the	DET
sc-1145	116	32	set	set	NOUN
sc-1145	116	33	of	of	ADP
sc-1145	116	34	retrieved	retrieve	VERB
sc-1145	116	35	cases	case	NOUN
sc-1145	116	36	(	(	PUNCT
sc-1145	116	37	rc	rc	NOUN
sc-1145	116	38	)	)	PUNCT
sc-1145	116	39	.	.	PUNCT
sc-1145	117	1	sq	sq	NOUN
sc-1145	117	2	=	=	PUNCT
sc-1145	117	3	argimaxcount(ci	argimaxcount(ci	PROPN
sc-1145	117	4	,	,	PUNCT
sc-1145	117	5	rc	rc	PROPN
sc-1145	117	6	)	)	PUNCT
sc-1145	117	7	(	(	PUNCT
sc-1145	117	8	1	1	X
sc-1145	117	9	)	)	PUNCT
sc-1145	117	10	probabilistic	probabilistic	ADJ
sc-1145	117	11	scheme	scheme	NOUN
sc-1145	117	12	:	:	PUNCT
sc-1145	117	13	this	this	DET
sc-1145	117	14	procedure	procedure	NOUN
sc-1145	117	15	assigns	assign	NOUN
sc-1145	117	16	probabilities	probability	NOUN
sc-1145	117	17	to	to	ADP
sc-1145	117	18	each	each	DET
sc-1145	117	19	possible	possible	ADJ
sc-1145	117	20	outcome	outcome	NOUN
sc-1145	117	21	or	or	CCONJ
sc-1145	117	22	class	class	NOUN
sc-1145	117	23	ci	ci	NOUN
sc-1145	117	24	.	.	PUNCT
sc-1145	118	1	the	the	DET
sc-1145	118	2	class	class	NOUN
sc-1145	118	3	with	with	ADP
sc-1145	118	4	the	the	DET
sc-1145	118	5	higher	high	ADJ
sc-1145	118	6	probability	probability	NOUN
sc-1145	118	7	is	be	AUX
sc-1145	118	8	selected	select	VERB
sc-1145	118	9	.	.	PUNCT
sc-1145	119	1	p(sq	p(sq	NOUN
sc-1145	119	2	=	=	SYM
sc-1145	119	3	ci	ci	PROPN
sc-1145	119	4	)	)	PUNCT
sc-1145	119	5	=	=	SYM
sc-1145	119	6	∑	∑	PUNCT
sc-1145	119	7	j∈rcsim(pq	j∈rcsim(pq	PROPN
sc-1145	119	8	,	,	PUNCT
sc-1145	119	9	pj	pj	PROPN
sc-1145	119	10	)	)	PUNCT
sc-1145	119	11	λj∑	λj∑	PROPN
sc-1145	119	12	j∈rcsim(pq	j∈rcsim(pq	PROPN
sc-1145	119	13	,	,	PUNCT
sc-1145	119	14	pj	pj	PROPN
sc-1145	119	15	)	)	PUNCT
sc-1145	119	16	(	(	PUNCT
sc-1145	119	17	2	2	X
sc-1145	119	18	)	)	PUNCT
sc-1145	119	19	where	where	SCONJ
sc-1145	119	20	λj	λj	PROPN
sc-1145	119	21	=	=	SYM
sc-1145	119	22	1	1	NUM
sc-1145	119	23	if	if	SCONJ
sc-1145	119	24	sj	sj	NOUN
sc-1145	119	25	=	=	PROPN
sc-1145	119	26	ci	ci	PROPN
sc-1145	119	27	,	,	PUNCT
sc-1145	119	28	0	0	NUM
sc-1145	119	29	otherwise	otherwise	ADV
sc-1145	119	30	.	.	PUNCT
sc-1145	120	1	class	class	NOUN
sc-1145	120	2	-	-	PUNCT
sc-1145	120	3	based	base	VERB
sc-1145	120	4	scheme	scheme	NOUN
sc-1145	120	5	:	:	PUNCT
sc-1145	120	6	this	this	DET
sc-1145	120	7	procedure	procedure	NOUN
sc-1145	120	8	determines	determine	VERB
sc-1145	120	9	,	,	PUNCT
sc-1145	120	10	for	for	ADP
sc-1145	120	11	each	each	DET
sc-1145	120	12	class	class	NOUN
sc-1145	120	13	ci	ci	NOUN
sc-1145	120	14	,	,	PUNCT
sc-1145	120	15	the	the	DET
sc-1145	120	16	mean	mean	ADJ
sc-1145	120	17	distance	distance	NOUN
sc-1145	120	18	of	of	ADP
sc-1145	120	19	the	the	DET
sc-1145	120	20	query	query	NOUN
sc-1145	120	21	case	case	NOUN
sc-1145	120	22	with	with	ADP
sc-1145	120	23	the	the	DET
sc-1145	120	24	cases	case	NOUN
sc-1145	120	25	belonging	belong	VERB
sc-1145	120	26	to	to	ADP
sc-1145	120	27	ci	ci	NOUN
sc-1145	120	28	,	,	PUNCT
sc-1145	120	29	and	and	CCONJ
sc-1145	120	30	takes	take	VERB
sc-1145	120	31	the	the	DET
sc-1145	120	32	class	class	NOUN
sc-1145	120	33	with	with	ADP
sc-1145	120	34	the	the	DET
sc-1145	120	35	minimum	minimum	ADJ
sc-1145	120	36	average	average	NOUN
sc-1145	120	37	(	(	PUNCT
sc-1145	120	38	minmeant	minmeant	ADJ
sc-1145	120	39	)	)	PUNCT
sc-1145	120	40	.	.	PUNCT
sc-1145	121	1	sq	sq	NOUN
sc-1145	121	2	=	=	PUNCT
sc-1145	121	3	argiminmeancisim(pq	argiminmeancisim(pq	PROPN
sc-1145	121	4	,	,	PUNCT
sc-1145	121	5	pj	pj	PROPN
sc-1145	121	6	)	)	PUNCT
sc-1145	121	7	,	,	PUNCT
sc-1145	121	8	∀j	∀j	PROPN
sc-1145	121	9	,	,	PUNCT
sc-1145	121	10	(	(	PUNCT
sc-1145	121	11	3	3	X
sc-1145	121	12	)	)	PUNCT
sc-1145	121	13	the	the	DET
sc-1145	121	14	reuse	reuse	NOUN
sc-1145	121	15	process	process	NOUN
sc-1145	121	16	becomes	become	VERB
sc-1145	121	17	more	more	ADV
sc-1145	121	18	difficult	difficult	ADJ
sc-1145	121	19	when	when	SCONJ
sc-1145	121	20	the	the	DET
sc-1145	121	21	retrieve	retrieve	NOUN
sc-1145	121	22	cases	case	NOUN
sc-1145	121	23	have	have	VERB
sc-1145	121	24	significant	significant	ADJ
sc-1145	121	25	differences	difference	NOUN
sc-1145	121	26	.	.	PUNCT
sc-1145	122	1	one	one	PRON
sc-1145	122	2	must	must	AUX
sc-1145	122	3	therefore	therefore	ADV
sc-1145	122	4	be	be	AUX
sc-1145	122	5	able	able	ADJ
sc-1145	122	6	to	to	PART
sc-1145	122	7	adapt	adapt	VERB
sc-1145	122	8	the	the	DET
sc-1145	122	9	solutions	solution	NOUN
sc-1145	122	10	of	of	ADP
sc-1145	122	11	the	the	DET
sc-1145	122	12	retrieved	retrieve	VERB
sc-1145	122	13	cases	case	NOUN
sc-1145	122	14	to	to	PART
sc-1145	122	15	obtain	obtain	VERB
sc-1145	122	16	new	new	ADJ
sc-1145	122	17	solutions	solution	NOUN
sc-1145	122	18	.	.	PUNCT
sc-1145	123	1	according	accord	VERB
sc-1145	123	2	to	to	ADP
sc-1145	123	3	kolodner	kolodner	NOUN
sc-1145	123	4	[	[	X
sc-1145	123	5	18	18	NUM
sc-1145	123	6	]	]	PUNCT
sc-1145	123	7	,	,	PUNCT
sc-1145	123	8	adaptation	adaptation	NOUN
sc-1145	123	9	can	can	AUX
sc-1145	123	10	be	be	AUX
sc-1145	123	11	done	do	VERB
sc-1145	123	12	in	in	ADP
sc-1145	123	13	two	two	NUM
sc-1145	123	14	ways	way	NOUN
sc-1145	123	15	:	:	PUNCT
sc-1145	123	16	substitution	substitution	NOUN
sc-1145	123	17	and	and	CCONJ
sc-1145	123	18	transformation	transformation	NOUN
sc-1145	123	19	.	.	PUNCT
sc-1145	124	1	garza	garza	PROPN
sc-1145	124	2	&	&	CCONJ
sc-1145	124	3	maher	maher	PROPN
sc-1145	124	4	used	use	VERB
sc-1145	124	5	evolutionary	evolutionary	ADJ
sc-1145	124	6	algorithms	algorithm	NOUN
sc-1145	124	7	in	in	ADP
sc-1145	124	8	[	[	X
sc-1145	124	9	23	23	NUM
sc-1145	124	10	]	]	PUNCT
sc-1145	124	11	and	and	CCONJ
sc-1145	124	12	suganthan	suganthan	PROPN
sc-1145	124	13	used	use	VERB
sc-1145	124	14	nature	nature	NOUN
sc-1145	124	15	-	-	PUNCT
sc-1145	124	16	inspired	inspire	VERB
sc-1145	124	17	metaheuristics	metaheuristic	NOUN
sc-1145	124	18	optimization	optimization	NOUN
sc-1145	124	19	algorithms	algorithm	NOUN
sc-1145	124	20	in	in	ADP
sc-1145	124	21	[	[	X
sc-1145	124	22	24	24	NUM
sc-1145	124	23	]	]	PUNCT
sc-1145	124	24	.	.	PUNCT
sc-1145	125	1	this	this	DET
sc-1145	125	2	step	step	NOUN
sc-1145	125	3	aims	aim	VERB
sc-1145	125	4	to	to	PART
sc-1145	125	5	map	map	VERB
sc-1145	125	6	the	the	DET
sc-1145	125	7	solution	solution	NOUN
sc-1145	125	8	from	from	ADP
sc-1145	125	9	the	the	DET
sc-1145	125	10	previous	previous	ADJ
sc-1145	125	11	cases	case	NOUN
sc-1145	125	12	to	to	ADP
sc-1145	125	13	the	the	DET
sc-1145	125	14	target	target	NOUN
sc-1145	125	15	problem	problem	NOUN
sc-1145	125	16	[	[	X
sc-1145	125	17	25	25	NUM
sc-1145	125	18	]	]	PUNCT
sc-1145	125	19	.	.	PUNCT
sc-1145	126	1	there	there	PRON
sc-1145	126	2	are	be	VERB
sc-1145	126	3	two	two	NUM
sc-1145	126	4	major	major	ADJ
sc-1145	126	5	steps	step	NOUN
sc-1145	126	6	involved	involve	VERB
sc-1145	126	7	in	in	ADP
sc-1145	126	8	adaptation	adaptation	NOUN
sc-1145	126	9	:	:	PUNCT
sc-1145	126	10	figuring	figure	VERB
sc-1145	126	11	out	out	ADP
sc-1145	126	12	what	what	PRON
sc-1145	126	13	it	it	PRON
sc-1145	126	14	is	be	AUX
sc-1145	126	15	needed	need	VERB
sc-1145	126	16	to	to	PART
sc-1145	126	17	be	be	AUX
sc-1145	126	18	adapted	adapt	VERB
sc-1145	126	19	and	and	CCONJ
sc-1145	126	20	applying	apply	VERB
sc-1145	126	21	the	the	DET
sc-1145	126	22	adaptation	adaptation	NOUN
sc-1145	126	23	[	[	X
sc-1145	126	24	21	21	NUM
sc-1145	126	25	]	]	PUNCT
sc-1145	126	26	.	.	PUNCT
sc-1145	127	1	revise	revise	PROPN
sc-1145	127	2	.	.	PUNCT
sc-1145	128	1	the	the	DET
sc-1145	128	2	revision	revision	NOUN
sc-1145	128	3	process	process	NOUN
sc-1145	128	4	begins	begin	VERB
sc-1145	128	5	when	when	SCONJ
sc-1145	128	6	the	the	DET
sc-1145	128	7	reuse	reuse	NOUN
sc-1145	128	8	phase	phase	NOUN
sc-1145	128	9	is	be	AUX
sc-1145	128	10	finished	finish	VERB
sc-1145	128	11	(	(	PUNCT
sc-1145	128	12	see	see	VERB
sc-1145	128	13	figure	figure	NOUN
sc-1145	128	14	1	1	NUM
sc-1145	128	15	)	)	PUNCT
sc-1145	128	16	.	.	PUNCT
sc-1145	129	1	the	the	DET
sc-1145	129	2	purpose	purpose	NOUN
sc-1145	129	3	of	of	ADP
sc-1145	129	4	this	this	DET
sc-1145	129	5	part	part	NOUN
sc-1145	129	6	is	be	AUX
sc-1145	129	7	to	to	PART
sc-1145	129	8	evaluate	evaluate	VERB
sc-1145	129	9	the	the	DET
sc-1145	129	10	proposed	propose	VERB
sc-1145	129	11	solution	solution	NOUN
sc-1145	129	12	in	in	ADP
sc-1145	129	13	the	the	DET
sc-1145	129	14	reuse	reuse	NOUN
sc-1145	129	15	process	process	NOUN
sc-1145	129	16	that	that	PRON
sc-1145	129	17	is	be	AUX
sc-1145	129	18	normally	normally	ADV
sc-1145	129	19	done	do	VERB
sc-1145	129	20	by	by	ADP
sc-1145	129	21	simulations	simulation	NOUN
sc-1145	129	22	.	.	PUNCT
sc-1145	130	1	it	it	PRON
sc-1145	130	2	is	be	AUX
sc-1145	130	3	noted	note	VERB
sc-1145	130	4	that	that	SCONJ
sc-1145	130	5	simulations	simulation	NOUN
sc-1145	130	6	often	often	ADV
sc-1145	130	7	neglect	neglect	VERB
sc-1145	130	8	important	important	ADJ
sc-1145	130	9	aspects	aspect	NOUN
sc-1145	130	10	of	of	ADP
sc-1145	130	11	reality	reality	NOUN
sc-1145	130	12	[	[	X
sc-1145	130	13	5	5	NUM
sc-1145	130	14	]	]	PUNCT
sc-1145	130	15	because	because	SCONJ
sc-1145	130	16	one	one	PRON
sc-1145	130	17	can	can	AUX
sc-1145	130	18	not	not	PART
sc-1145	130	19	always	always	ADV
sc-1145	130	20	formulate	formulate	VERB
sc-1145	130	21	all	all	DET
sc-1145	130	22	3	3	NUM
sc-1145	130	23	eai	eai	NOUN
sc-1145	130	24	endorsed	endorse	VERB
sc-1145	130	25	transactions	transaction	NOUN
sc-1145	130	26	on	on	ADP
sc-1145	130	27	smart	smart	ADJ
sc-1145	130	28	cities	city	NOUN
sc-1145	130	29	06	06	NUM
sc-1145	130	30	2018	2018	NUM
sc-1145	130	31	02	02	NUM
sc-1145	130	32	2020	2020	NUM
sc-1145	130	33	|	|	ADV
sc-1145	130	34	volume	volume	NOUN
sc-1145	130	35	4	4	NUM
sc-1145	131	1	|	|	NOUN
sc-1145	131	2	issue	issue	NOUN
sc-1145	131	3	9	9	NUM
sc-1145	131	4	|	|	ADV
sc-1145	131	5	e4	e4	VERB
sc-1145	131	6	the	the	DET
sc-1145	131	7	aspects	aspect	NOUN
sc-1145	131	8	that	that	PRON
sc-1145	131	9	can	can	AUX
sc-1145	131	10	occur	occur	VERB
sc-1145	131	11	in	in	ADP
sc-1145	131	12	the	the	DET
sc-1145	131	13	real	real	ADJ
sc-1145	131	14	world	world	NOUN
sc-1145	132	1	[	[	X
sc-1145	132	2	26].this	26].this	NUM
sc-1145	132	3	step	step	NOUN
sc-1145	132	4	simulates	simulate	VERB
sc-1145	132	5	the	the	DET
sc-1145	132	6	new	new	ADJ
sc-1145	132	7	solution	solution	NOUN
sc-1145	132	8	in	in	ADP
sc-1145	132	9	the	the	DET
sc-1145	132	10	real	real	ADJ
sc-1145	132	11	world	world	NOUN
sc-1145	132	12	and	and	CCONJ
sc-1145	132	13	revises	revise	VERB
sc-1145	132	14	it	it	PRON
sc-1145	132	15	if	if	SCONJ
sc-1145	132	16	necessary	necessary	ADJ
sc-1145	132	17	[	[	X
sc-1145	132	18	27	27	NUM
sc-1145	132	19	]	]	PUNCT
sc-1145	132	20	.	.	PUNCT
sc-1145	133	1	retain	retain	VERB
sc-1145	133	2	.	.	PUNCT
sc-1145	134	1	this	this	PRON
sc-1145	134	2	is	be	AUX
sc-1145	134	3	the	the	DET
sc-1145	134	4	last	last	ADJ
sc-1145	134	5	phase	phase	NOUN
sc-1145	134	6	and	and	CCONJ
sc-1145	134	7	it	it	PRON
sc-1145	134	8	keep	keep	VERB
sc-1145	134	9	the	the	DET
sc-1145	134	10	right	right	ADJ
sc-1145	134	11	solution	solution	NOUN
sc-1145	134	12	in	in	ADP
sc-1145	134	13	the	the	DET
sc-1145	134	14	case	case	NOUN
sc-1145	134	15	base	base	NOUN
sc-1145	134	16	.	.	PUNCT
sc-1145	135	1	it	it	PRON
sc-1145	135	2	is	be	AUX
sc-1145	135	3	often	often	ADV
sc-1145	135	4	good	good	ADJ
sc-1145	135	5	to	to	PART
sc-1145	135	6	record	record	VERB
sc-1145	135	7	the	the	DET
sc-1145	135	8	specification	specification	NOUN
sc-1145	135	9	of	of	ADP
sc-1145	135	10	problem	problem	NOUN
sc-1145	135	11	and	and	CCONJ
sc-1145	135	12	the	the	DET
sc-1145	135	13	solution	solution	NOUN
sc-1145	135	14	for	for	ADP
sc-1145	135	15	future	future	ADJ
sc-1145	135	16	use	use	NOUN
sc-1145	135	17	.	.	PUNCT
sc-1145	136	1	veloso	veloso	PROPN
sc-1145	136	2	et	et	PROPN
sc-1145	136	3	al	al	PROPN
sc-1145	136	4	.	.	PUNCT
sc-1145	137	1	[	[	X
sc-1145	137	2	28	28	NUM
sc-1145	137	3	]	]	PUNCT
sc-1145	137	4	shows	show	VERB
sc-1145	137	5	that	that	SCONJ
sc-1145	137	6	it	it	PRON
sc-1145	137	7	is	be	AUX
sc-1145	137	8	recommended	recommend	VERB
sc-1145	137	9	to	to	PART
sc-1145	137	10	store	store	VERB
sc-1145	137	11	the	the	DET
sc-1145	137	12	final	final	ADJ
sc-1145	137	13	solution	solution	NOUN
sc-1145	137	14	along	along	ADP
sc-1145	137	15	with	with	ADP
sc-1145	137	16	its	its	PRON
sc-1145	137	17	knowledge	knowledge	NOUN
sc-1145	137	18	structure	structure	NOUN
sc-1145	137	19	.	.	PUNCT
sc-1145	138	1	this	this	DET
sc-1145	138	2	knowledge	knowledge	NOUN
sc-1145	138	3	is	be	AUX
sc-1145	138	4	exploited	exploit	VERB
sc-1145	138	5	to	to	PART
sc-1145	138	6	build	build	VERB
sc-1145	138	7	the	the	DET
sc-1145	138	8	new	new	ADJ
sc-1145	138	9	solution	solution	NOUN
sc-1145	138	10	to	to	PART
sc-1145	138	11	have	have	VERB
sc-1145	138	12	a	a	DET
sc-1145	138	13	decision	decision	NOUN
sc-1145	138	14	-	-	PUNCT
sc-1145	138	15	making	make	VERB
sc-1145	138	16	process	process	NOUN
sc-1145	138	17	.	.	PUNCT
sc-1145	139	1	this	this	DET
sc-1145	139	2	step	step	NOUN
sc-1145	139	3	stores	store	VERB
sc-1145	139	4	the	the	DET
sc-1145	139	5	resulting	result	VERB
sc-1145	139	6	experience	experience	NOUN
sc-1145	139	7	as	as	ADP
sc-1145	139	8	a	a	DET
sc-1145	139	9	new	new	ADJ
sc-1145	139	10	case	case	NOUN
sc-1145	139	11	in	in	ADP
sc-1145	139	12	memory	memory	NOUN
sc-1145	139	13	after	after	SCONJ
sc-1145	139	14	the	the	DET
sc-1145	139	15	solution	solution	NOUN
sc-1145	139	16	has	have	AUX
sc-1145	139	17	been	be	AUX
sc-1145	139	18	successfully	successfully	ADV
sc-1145	139	19	adapted	adapt	VERB
sc-1145	139	20	to	to	ADP
sc-1145	139	21	the	the	DET
sc-1145	139	22	target	target	NOUN
sc-1145	139	23	problem	problem	NOUN
sc-1145	139	24	[	[	X
sc-1145	139	25	29	29	NUM
sc-1145	139	26	]	]	PUNCT
sc-1145	139	27	.	.	PUNCT
sc-1145	140	1	3.2	3.2	NUM
sc-1145	140	2	.	.	PUNCT
sc-1145	141	1	analytic	analytic	ADJ
sc-1145	141	2	hierarchy	hierarchy	NOUN
sc-1145	141	3	process	process	NOUN
sc-1145	141	4	analytic	analytic	ADJ
sc-1145	141	5	hierarchy	hierarchy	NOUN
sc-1145	141	6	process	process	NOUN
sc-1145	141	7	(	(	PUNCT
sc-1145	141	8	ahp	ahp	NOUN
sc-1145	141	9	)	)	PUNCT
sc-1145	141	10	is	be	AUX
sc-1145	141	11	a	a	DET
sc-1145	141	12	multi	multi	ADJ
sc-1145	141	13	-	-	ADJ
sc-1145	141	14	criteria	criterion	NOUN
sc-1145	141	15	decision	decision	NOUN
sc-1145	141	16	making	making	NOUN
sc-1145	141	17	(	(	PUNCT
sc-1145	141	18	mcdm	mcdm	ADJ
sc-1145	141	19	)	)	PUNCT
sc-1145	141	20	technique	technique	NOUN
sc-1145	141	21	developed	develop	VERB
sc-1145	141	22	by	by	ADP
sc-1145	141	23	saaty	saaty	NOUN
sc-1145	141	24	[	[	X
sc-1145	141	25	30	30	NUM
sc-1145	141	26	]	]	PUNCT
sc-1145	141	27	.	.	PUNCT
sc-1145	142	1	it	it	PRON
sc-1145	142	2	models	model	VERB
sc-1145	142	3	an	an	DET
sc-1145	142	4	unstructured	unstructured	ADJ
sc-1145	142	5	problem	problem	NOUN
sc-1145	142	6	into	into	ADP
sc-1145	142	7	a	a	DET
sc-1145	142	8	hierarchical	hierarchical	ADJ
sc-1145	142	9	structure	structure	NOUN
sc-1145	142	10	of	of	ADP
sc-1145	142	11	elements	element	NOUN
sc-1145	142	12	.	.	PUNCT
sc-1145	143	1	the	the	DET
sc-1145	143	2	components	component	NOUN
sc-1145	143	3	of	of	ADP
sc-1145	143	4	the	the	DET
sc-1145	143	5	hierarchy	hierarchy	NOUN
sc-1145	143	6	include	include	VERB
sc-1145	143	7	the	the	DET
sc-1145	143	8	main	main	ADJ
sc-1145	143	9	goal	goal	NOUN
sc-1145	143	10	:	:	PUNCT
sc-1145	143	11	criteria	criterion	NOUN
sc-1145	143	12	that	that	PRON
sc-1145	143	13	affect	affect	VERB
sc-1145	143	14	the	the	DET
sc-1145	143	15	overall	overall	ADJ
sc-1145	143	16	goal	goal	NOUN
sc-1145	143	17	and	and	CCONJ
sc-1145	143	18	that	that	PRON
sc-1145	143	19	can	can	AUX
sc-1145	143	20	be	be	AUX
sc-1145	143	21	used	use	VERB
sc-1145	143	22	for	for	ADP
sc-1145	143	23	selection	selection	NOUN
sc-1145	143	24	of	of	ADP
sc-1145	143	25	the	the	DET
sc-1145	143	26	final	final	ADJ
sc-1145	143	27	solution	solution	NOUN
sc-1145	143	28	and	and	CCONJ
sc-1145	143	29	sub	sub	NOUN
sc-1145	143	30	-	-	NOUN
sc-1145	143	31	criteria	criterion	NOUN
sc-1145	143	32	that	that	PRON
sc-1145	143	33	influence	influence	VERB
sc-1145	143	34	the	the	DET
sc-1145	143	35	maincriteria	maincriteria	NOUN
sc-1145	143	36	and	and	CCONJ
sc-1145	143	37	the	the	DET
sc-1145	143	38	alternatives	alternative	NOUN
sc-1145	143	39	to	to	PART
sc-1145	143	40	solve	solve	VERB
sc-1145	143	41	the	the	DET
sc-1145	143	42	problem	problem	NOUN
sc-1145	143	43	[	[	X
sc-1145	143	44	31	31	NUM
sc-1145	143	45	]	]	PUNCT
sc-1145	143	46	.	.	PUNCT
sc-1145	144	1	a	a	DET
sc-1145	144	2	pairwise	pairwise	NOUN
sc-1145	144	3	comparison	comparison	NOUN
sc-1145	144	4	matrix	matrix	NOUN
sc-1145	144	5	is	be	AUX
sc-1145	144	6	made	make	VERB
sc-1145	144	7	by	by	ADP
sc-1145	144	8	expert	expert	NOUN
sc-1145	144	9	’s	’s	PART
sc-1145	144	10	opinions	opinion	NOUN
sc-1145	144	11	under	under	ADP
sc-1145	144	12	the	the	DET
sc-1145	144	13	saaty	saaty	NOUN
sc-1145	144	14	’s	’s	PART
sc-1145	144	15	preference	preference	NOUN
sc-1145	144	16	scale	scale	NOUN
sc-1145	144	17	as	as	SCONJ
sc-1145	144	18	given	give	VERB
sc-1145	144	19	in	in	ADP
sc-1145	144	20	table	table	NOUN
sc-1145	144	21	1	1	NUM
sc-1145	144	22	.	.	PUNCT
sc-1145	144	23	table	table	NOUN
sc-1145	144	24	1	1	NUM
sc-1145	144	25	.	.	PUNCT
sc-1145	145	1	saaty	saaty	PROPN
sc-1145	145	2	’s	’s	PART
sc-1145	145	3	scales	scale	VERB
sc-1145	145	4	scale	scale	NOUN
sc-1145	145	5	compare	compare	NOUN
sc-1145	145	6	factor	factor	NOUN
sc-1145	145	7	of	of	ADP
sc-1145	145	8	i	i	PROPN
sc-1145	145	9	&	&	CCONJ
sc-1145	145	10	j	j	PROPN
sc-1145	145	11	1	1	NUM
sc-1145	145	12	equally	equally	ADV
sc-1145	145	13	important	important	ADJ
sc-1145	145	14	3	3	NUM
sc-1145	145	15	weakly	weakly	ADV
sc-1145	145	16	important	important	ADJ
sc-1145	145	17	5	5	NUM
sc-1145	145	18	strongly	strongly	ADV
sc-1145	145	19	important	important	ADJ
sc-1145	145	20	7	7	NUM
sc-1145	145	21	very	very	ADV
sc-1145	145	22	strongly	strongly	ADV
sc-1145	145	23	important	important	ADJ
sc-1145	145	24	9	9	NUM
sc-1145	145	25	extremely	extremely	ADV
sc-1145	145	26	important	important	ADJ
sc-1145	145	27	2	2	NUM
sc-1145	145	28	,	,	PUNCT
sc-1145	145	29	4	4	NUM
sc-1145	145	30	,	,	PUNCT
sc-1145	145	31	6	6	NUM
sc-1145	145	32	,	,	PUNCT
sc-1145	145	33	8	8	NUM
sc-1145	145	34	intermediate	intermediate	ADJ
sc-1145	145	35	value	value	NOUN
sc-1145	145	36	between	between	ADP
sc-1145	145	37	adjacent	adjacent	ADJ
sc-1145	145	38	scales	scale	NOUN
sc-1145	145	39	this	this	DET
sc-1145	145	40	work	work	NOUN
sc-1145	145	41	uses	use	VERB
sc-1145	145	42	only	only	ADV
sc-1145	145	43	the	the	DET
sc-1145	145	44	three	three	NUM
sc-1145	145	45	first	first	ADJ
sc-1145	145	46	steps	step	NOUN
sc-1145	145	47	concerning	concern	VERB
sc-1145	145	48	the	the	DET
sc-1145	145	49	determination	determination	NOUN
sc-1145	145	50	of	of	ADP
sc-1145	145	51	weights	weight	NOUN
sc-1145	145	52	[	[	X
sc-1145	145	53	32	32	NUM
sc-1145	145	54	]	]	PUNCT
sc-1145	145	55	.	.	PUNCT
sc-1145	146	1	the	the	DET
sc-1145	146	2	first	first	ADJ
sc-1145	146	3	step	step	NOUN
sc-1145	146	4	builds	build	VERB
sc-1145	146	5	the	the	DET
sc-1145	146	6	pairwise	pairwise	NOUN
sc-1145	146	7	comparison	comparison	NOUN
sc-1145	146	8	matrix	matrix	NOUN
sc-1145	146	9	.	.	PUNCT
sc-1145	147	1	ann	ann	PROPN
sc-1145	147	2	=	=	PROPN
sc-1145	147	3			PROPN
sc-1145	147	4	a11	a11	PROPN
sc-1145	147	5	.	.	PUNCT
sc-1145	147	6	.	.	PUNCT
sc-1145	147	7	.	.	PUNCT
sc-1145	148	1	a1n	a1n	PRON
sc-1145	148	2	...	...	PUNCT
sc-1145	148	3	.	.	PUNCT
sc-1145	148	4	.	.	PUNCT
sc-1145	148	5	.	.	PUNCT
sc-1145	148	6	...	...	PUNCT
sc-1145	149	1	an1	an1	INTJ
sc-1145	149	2	.	.	PUNCT
sc-1145	149	3	.	.	PUNCT
sc-1145	149	4	.	.	PUNCT
sc-1145	150	1	ann	ann	PROPN
sc-1145	150	2			NUM
sc-1145	150	3	(	(	PUNCT
sc-1145	150	4	4	4	NUM
sc-1145	150	5	)	)	PUNCT
sc-1145	150	6	where	where	SCONJ
sc-1145	150	7	n	n	PRON
sc-1145	150	8	is	be	AUX
sc-1145	150	9	the	the	DET
sc-1145	150	10	number	number	NOUN
sc-1145	150	11	of	of	ADP
sc-1145	150	12	attributes	attribute	NOUN
sc-1145	150	13	from	from	ADP
sc-1145	150	14	data	datum	NOUN
sc-1145	150	15	,	,	PUNCT
sc-1145	150	16	aij	aij	PROPN
sc-1145	150	17	is	be	AUX
sc-1145	150	18	the	the	DET
sc-1145	150	19	saaty	saaty	NOUN
sc-1145	150	20	’s	’s	PART
sc-1145	150	21	comparison	comparison	NOUN
sc-1145	150	22	value	value	NOUN
sc-1145	150	23	between	between	ADP
sc-1145	150	24	attributei	attributei	NOUN
sc-1145	150	25	and	and	CCONJ
sc-1145	150	26	attributej	attributej	NOUN
sc-1145	150	27	.	.	PUNCT
sc-1145	151	1	aij	aij	PROPN
sc-1145	151	2	=	=	SYM
sc-1145	151	3	1	1	NUM
sc-1145	151	4	when	when	SCONJ
sc-1145	151	5	i	i	PRON
sc-1145	151	6	=	=	SYM
sc-1145	151	7	j	j	PROPN
sc-1145	151	8	and	and	CCONJ
sc-1145	151	9	aji	aji	PROPN
sc-1145	151	10	=	=	SYM
sc-1145	151	11	1	1	NUM
sc-1145	151	12	/	/	SYM
sc-1145	151	13	aij	aij	PROPN
sc-1145	151	14	.	.	PUNCT
sc-1145	152	1	the	the	DET
sc-1145	152	2	first	first	ADJ
sc-1145	152	3	step	step	NOUN
sc-1145	152	4	costs	cost	NOUN
sc-1145	152	5	about	about	ADP
sc-1145	152	6	n2	n2	NOUN
sc-1145	152	7	+	+	CCONJ
sc-1145	152	8	α	α	PROPN
sc-1145	152	9	,	,	PUNCT
sc-1145	152	10	α	α	PROPN
sc-1145	152	11	∈	∈	PROPN
sc-1145	152	12	r.	r.	NOUN
sc-1145	152	13	the	the	DET
sc-1145	152	14	second	second	ADJ
sc-1145	152	15	step	step	NOUN
sc-1145	152	16	constructs	construct	VERB
sc-1145	152	17	the	the	DET
sc-1145	152	18	normalized	normalized	ADJ
sc-1145	152	19	decision	decision	NOUN
sc-1145	152	20	matrix	matrix	NOUN
sc-1145	152	21	.	.	PUNCT
sc-1145	153	1	cij	cij	PROPN
sc-1145	153	2	=	=	PUNCT
sc-1145	153	3	aij∑n	aij∑n	PROPN
sc-1145	153	4	j=1	j=1	PROPN
sc-1145	153	5	aij	aij	PROPN
sc-1145	153	6	,	,	PUNCT
sc-1145	153	7	i	i	PROPN
sc-1145	153	8	,	,	PUNCT
sc-1145	153	9	j	j	PROPN
sc-1145	153	10	=	=	SYM
sc-1145	153	11	1	1	NUM
sc-1145	153	12	,	,	PUNCT
sc-1145	153	13	...	...	PUNCT
sc-1145	153	14	,	,	PUNCT
sc-1145	153	15	n	n	CCONJ
sc-1145	153	16	(	(	PUNCT
sc-1145	153	17	5	5	NUM
sc-1145	153	18	)	)	PUNCT
sc-1145	153	19	this	this	DET
sc-1145	153	20	step	step	NOUN
sc-1145	153	21	requires	require	VERB
sc-1145	153	22	n2	n2	NOUN
sc-1145	153	23	+	+	CCONJ
sc-1145	153	24	β	β	X
sc-1145	153	25	,	,	PUNCT
sc-1145	153	26	β	β	PROPN
sc-1145	153	27	∈	∈	PROPN
sc-1145	153	28	r.	r.	NOUN
sc-1145	153	29	the	the	DET
sc-1145	153	30	third	third	ADJ
sc-1145	153	31	step	step	NOUN
sc-1145	153	32	determines	determine	VERB
sc-1145	153	33	the	the	DET
sc-1145	153	34	criteria	criterion	NOUN
sc-1145	153	35	weight	weight	NOUN
sc-1145	153	36	vector	vector	NOUN
sc-1145	153	37	w	w	NOUN
sc-1145	153	38	by	by	ADP
sc-1145	153	39	averaging	average	VERB
sc-1145	153	40	the	the	DET
sc-1145	153	41	entries	entry	NOUN
sc-1145	153	42	on	on	ADP
sc-1145	153	43	each	each	DET
sc-1145	153	44	row	row	NOUN
sc-1145	153	45	of	of	ADP
sc-1145	153	46	the	the	DET
sc-1145	153	47	normalized	normalize	VERB
sc-1145	153	48	matrix	matrix	NOUN
sc-1145	153	49	.	.	PUNCT
sc-1145	154	1	this	this	DET
sc-1145	154	2	step	step	NOUN
sc-1145	154	3	requires	require	VERB
sc-1145	154	4	about	about	ADP
sc-1145	154	5	n2	n2	PROPN
sc-1145	154	6	+	+	CCONJ
sc-1145	154	7	σ	σ	PROPN
sc-1145	154	8	,	,	PUNCT
sc-1145	154	9	σ	σ	PROPN
sc-1145	154	10	∈	∈	PROPN
sc-1145	154	11	r.	r.	PROPN
sc-1145	154	12	wi	wi	PROPN
sc-1145	155	1	=	=	PROPN
sc-1145	155	2	∑n	∑n	PROPN
sc-1145	155	3	j=1	j=1	PROPN
sc-1145	155	4	cij	cij	PROPN
sc-1145	156	1	n	n	PROPN
sc-1145	156	2	i	i	NOUN
sc-1145	156	3	=	=	NOUN
sc-1145	156	4	1	1	NUM
sc-1145	156	5	,	,	PUNCT
sc-1145	156	6	2	2	NUM
sc-1145	156	7	,	,	PUNCT
sc-1145	156	8	...	...	PUNCT
sc-1145	156	9	,	,	PUNCT
sc-1145	156	10	n	n	X
sc-1145	156	11	(	(	PUNCT
sc-1145	156	12	6	6	NUM
sc-1145	156	13	)	)	PUNCT
sc-1145	156	14	at	at	ADP
sc-1145	156	15	the	the	DET
sc-1145	156	16	end	end	NOUN
sc-1145	156	17	,	,	PUNCT
sc-1145	156	18	performing	perform	VERB
sc-1145	156	19	the	the	DET
sc-1145	156	20	vector	vector	NOUN
sc-1145	156	21	of	of	ADP
sc-1145	156	22	attributes	attribute	NOUN
sc-1145	156	23	weights	weight	NOUN
sc-1145	156	24	is	be	AUX
sc-1145	156	25	solvable	solvable	ADJ
sc-1145	156	26	in	in	ADP
sc-1145	156	27	polynomial	polynomial	ADJ
sc-1145	156	28	time	time	NOUN
sc-1145	156	29	proportionally	proportionally	ADV
sc-1145	156	30	to	to	ADP
sc-1145	156	31	the	the	DET
sc-1145	156	32	square	square	NOUN
sc-1145	156	33	of	of	ADP
sc-1145	156	34	the	the	DET
sc-1145	156	35	number	number	NOUN
sc-1145	156	36	of	of	ADP
sc-1145	156	37	attributes	attribute	NOUN
sc-1145	156	38	,	,	PUNCT
sc-1145	156	39	i.e	i.e	PROPN
sc-1145	156	40	(	(	PUNCT
sc-1145	156	41	n2	n2	NOUN
sc-1145	156	42	+	+	CCONJ
sc-1145	156	43	α	α	X
sc-1145	156	44	)	)	PUNCT
sc-1145	157	1	+	+	CCONJ
sc-1145	157	2	(	(	PUNCT
sc-1145	157	3	n2	n2	NOUN
sc-1145	157	4	+	+	CCONJ
sc-1145	157	5	β	β	X
sc-1145	157	6	)	)	PUNCT
sc-1145	158	1	+	+	CCONJ
sc-1145	158	2	(	(	PUNCT
sc-1145	158	3	n2	n2	ADJ
sc-1145	158	4	+	+	CCONJ
sc-1145	158	5	σ	σ	NOUN
sc-1145	158	6	)	)	PUNCT
sc-1145	159	1	=	=	SYM
sc-1145	160	1	3n2	3n2	NUM
sc-1145	160	2	+	+	NUM
sc-1145	160	3	α	α	PROPN
sc-1145	160	4	+	+	X
sc-1145	160	5	β	β	X
sc-1145	160	6	+	+	X
sc-1145	160	7	σ	σ	PROPN
sc-1145	160	8	,	,	PUNCT
sc-1145	160	9	with	with	ADP
sc-1145	160	10	α	α	PROPN
sc-1145	160	11	,	,	PUNCT
sc-1145	160	12	β	β	X
sc-1145	160	13	,	,	PUNCT
sc-1145	160	14	σ	σ	PROPN
sc-1145	160	15	∈	∈	PROPN
sc-1145	160	16	r.	r.	PROPN
sc-1145	160	17	3.3	3.3	NUM
sc-1145	160	18	.	.	PUNCT
sc-1145	161	1	cosine	cosine	NOUN
sc-1145	161	2	similarity	similarity	PROPN
sc-1145	161	3	model	model	NOUN
sc-1145	161	4	cosine	cosine	NOUN
sc-1145	161	5	is	be	AUX
sc-1145	161	6	the	the	DET
sc-1145	161	7	most	most	ADV
sc-1145	161	8	popular	popular	ADJ
sc-1145	161	9	euclidean	euclidean	ADJ
sc-1145	161	10	distance	distance	NOUN
sc-1145	161	11	based	base	VERB
sc-1145	161	12	metric	metric	NOUN
sc-1145	161	13	for	for	ADP
sc-1145	161	14	text	text	NOUN
sc-1145	161	15	classification	classification	NOUN
sc-1145	161	16	[	[	X
sc-1145	161	17	33	33	NUM
sc-1145	161	18	]	]	PUNCT
sc-1145	161	19	and	and	CCONJ
sc-1145	161	20	[	[	X
sc-1145	161	21	34	34	NUM
sc-1145	161	22	]	]	PUNCT
sc-1145	161	23	.	.	PUNCT
sc-1145	162	1	it	it	PRON
sc-1145	162	2	is	be	AUX
sc-1145	162	3	determined	determine	VERB
sc-1145	162	4	as	as	ADP
sc-1145	162	5	in	in	ADP
sc-1145	162	6	equation	equation	NOUN
sc-1145	162	7	(	(	PUNCT
sc-1145	162	8	7	7	NUM
sc-1145	162	9	)	)	PUNCT
sc-1145	162	10	and	and	CCONJ
sc-1145	162	11	its	its	PRON
sc-1145	162	12	value	value	NOUN
sc-1145	162	13	is	be	AUX
sc-1145	162	14	between	between	ADP
sc-1145	162	15	0	0	NUM
sc-1145	162	16	and	and	CCONJ
sc-1145	162	17	1	1	NUM
sc-1145	162	18	.	.	X
sc-1145	163	1	more	more	ADJ
sc-1145	163	2	its	its	PRON
sc-1145	163	3	value	value	NOUN
sc-1145	163	4	is	be	AUX
sc-1145	163	5	closest	close	ADJ
sc-1145	163	6	to	to	ADP
sc-1145	163	7	1	1	NUM
sc-1145	163	8	,	,	PUNCT
sc-1145	163	9	more	more	ADJ
sc-1145	163	10	the	the	DET
sc-1145	163	11	both	both	DET
sc-1145	163	12	vectors	vector	NOUN
sc-1145	163	13	are	be	AUX
sc-1145	163	14	similar	similar	ADJ
sc-1145	163	15	.	.	PUNCT
sc-1145	164	1	cos	cos	PROPN
sc-1145	164	2	ine(a	ine(a	PROPN
sc-1145	164	3	,	,	PUNCT
sc-1145	164	4	b	b	NOUN
sc-1145	164	5	)	)	PUNCT
sc-1145	164	6	=	=	SYM
sc-1145	165	1	∑n	∑n	NOUN
sc-1145	166	1	i=1	i=1	PROPN
sc-1145	166	2	ai	ai	VERB
sc-1145	166	3	×	×	PROPN
sc-1145	166	4	bi√∑n	bi√∑n	PROPN
sc-1145	166	5	i=1a	i=1a	NOUN
sc-1145	166	6	2	2	NUM
sc-1145	166	7	i	i	PRON
sc-1145	166	8	√∑n	√∑n	VERB
sc-1145	166	9	i=1b	i=1b	VERB
sc-1145	166	10	2	2	NUM
sc-1145	166	11	i	i	PRON
sc-1145	166	12	a	a	PROPN
sc-1145	166	13	and	and	CCONJ
sc-1145	166	14	b	b	NOUN
sc-1145	166	15	are	be	AUX
sc-1145	166	16	two	two	NUM
sc-1145	166	17	vectors	vector	NOUN
sc-1145	166	18	.	.	PUNCT
sc-1145	167	1	(	(	PUNCT
sc-1145	167	2	7	7	X
sc-1145	167	3	)	)	PUNCT
sc-1145	167	4	3.4	3.4	NUM
sc-1145	167	5	.	.	PUNCT
sc-1145	167	6	particle	particle	NOUN
sc-1145	167	7	swarm	swarm	NOUN
sc-1145	167	8	optimization	optimization	NOUN
sc-1145	167	9	pso	pso	NOUN
sc-1145	167	10	is	be	AUX
sc-1145	167	11	developed	develop	VERB
sc-1145	167	12	by	by	ADP
sc-1145	167	13	kennedy	kennedy	PROPN
sc-1145	167	14	and	and	CCONJ
sc-1145	167	15	eberhart	eberhart	NOUN
sc-1145	167	16	in	in	ADP
sc-1145	167	17	1995	1995	NUM
sc-1145	167	18	[	[	X
sc-1145	167	19	35	35	NUM
sc-1145	167	20	]	]	PUNCT
sc-1145	167	21	.	.	PUNCT
sc-1145	168	1	according	accord	VERB
sc-1145	168	2	to	to	ADP
sc-1145	168	3	[	[	X
sc-1145	168	4	36	36	NUM
sc-1145	168	5	]	]	PUNCT
sc-1145	168	6	and	and	CCONJ
sc-1145	168	7	[	[	X
sc-1145	168	8	24	24	NUM
sc-1145	168	9	]	]	X
sc-1145	168	10	it	it	PRON
sc-1145	168	11	is	be	AUX
sc-1145	168	12	considered	consider	VERB
sc-1145	168	13	as	as	ADP
sc-1145	168	14	the	the	DET
sc-1145	168	15	most	most	ADV
sc-1145	168	16	popular	popular	ADJ
sc-1145	168	17	nature	nature	NOUN
sc-1145	168	18	-	-	PUNCT
sc-1145	168	19	inspired	inspire	VERB
sc-1145	168	20	metaheuristic	metaheuristic	ADJ
sc-1145	168	21	optimization	optimization	NOUN
sc-1145	168	22	algorithm	algorithm	NOUN
sc-1145	168	23	.	.	PUNCT
sc-1145	169	1	the	the	DET
sc-1145	169	2	pso	pso	NOUN
sc-1145	169	3	algorithm	algorithm	NOUN
sc-1145	169	4	is	be	AUX
sc-1145	169	5	directed	direct	VERB
sc-1145	169	6	by	by	ADP
sc-1145	169	7	personal	personal	ADJ
sc-1145	169	8	experience	experience	NOUN
sc-1145	169	9	(	(	PUNCT
sc-1145	169	10	p	p	NOUN
sc-1145	169	11	best	good	ADJ
sc-1145	169	12	)	)	PUNCT
sc-1145	169	13	,	,	PUNCT
sc-1145	169	14	overall	overall	ADJ
sc-1145	169	15	experience	experience	NOUN
sc-1145	169	16	(	(	PUNCT
sc-1145	169	17	gbest	gbest	NOUN
sc-1145	169	18	)	)	PUNCT
sc-1145	169	19	as	as	ADV
sc-1145	169	20	well	well	ADV
sc-1145	169	21	as	as	ADP
sc-1145	169	22	the	the	DET
sc-1145	169	23	current	current	ADJ
sc-1145	169	24	movement	movement	NOUN
sc-1145	169	25	of	of	ADP
sc-1145	169	26	the	the	DET
sc-1145	169	27	particles	particle	NOUN
sc-1145	169	28	to	to	PART
sc-1145	169	29	decide	decide	VERB
sc-1145	169	30	the	the	DET
sc-1145	169	31	next	next	ADJ
sc-1145	169	32	positions	position	NOUN
sc-1145	169	33	in	in	ADP
sc-1145	169	34	the	the	DET
sc-1145	169	35	search	search	NOUN
sc-1145	169	36	space	space	NOUN
sc-1145	169	37	.	.	PUNCT
sc-1145	170	1	additionally	additionally	ADV
sc-1145	170	2	,	,	PUNCT
sc-1145	170	3	experiences	experience	NOUN
sc-1145	170	4	are	be	AUX
sc-1145	170	5	accelerated	accelerate	VERB
sc-1145	170	6	by	by	ADP
sc-1145	170	7	two	two	NUM
sc-1145	170	8	factors	factor	NOUN
sc-1145	170	9	c1	c1	PROPN
sc-1145	170	10	and	and	CCONJ
sc-1145	170	11	c2	c2	PROPN
sc-1145	170	12	,	,	PUNCT
sc-1145	170	13	and	and	CCONJ
sc-1145	170	14	two	two	NUM
sc-1145	170	15	random	random	ADJ
sc-1145	170	16	numbers	number	NOUN
sc-1145	170	17	generated	generate	VERB
sc-1145	170	18	between	between	ADP
sc-1145	170	19	[	[	X
sc-1145	170	20	0	0	NUM
sc-1145	170	21	,	,	PUNCT
sc-1145	170	22	1	1	NUM
sc-1145	170	23	]	]	PUNCT
sc-1145	170	24	whereas	whereas	SCONJ
sc-1145	170	25	the	the	DET
sc-1145	170	26	current	current	ADJ
sc-1145	170	27	movement	movement	NOUN
sc-1145	170	28	is	be	AUX
sc-1145	170	29	multiplied	multiply	VERB
sc-1145	170	30	by	by	ADP
sc-1145	170	31	an	an	DET
sc-1145	170	32	inertia	inertia	NOUN
sc-1145	170	33	factor	factor	NOUN
sc-1145	170	34	w	w	NOUN
sc-1145	170	35	varying	varying	NOUN
sc-1145	170	36	between	between	ADP
sc-1145	170	37	[	[	X
sc-1145	170	38	wmin	wmin	ADJ
sc-1145	170	39	,	,	PUNCT
sc-1145	170	40	wmax	wmax	NOUN
sc-1145	170	41	]	]	PUNCT
sc-1145	170	42	.	.	PUNCT
sc-1145	171	1	the	the	DET
sc-1145	171	2	initial	initial	ADJ
sc-1145	171	3	population	population	NOUN
sc-1145	171	4	(	(	PUNCT
sc-1145	171	5	swarm	swarm	NOUN
sc-1145	171	6	)	)	PUNCT
sc-1145	171	7	of	of	ADP
sc-1145	171	8	size	size	NOUN
sc-1145	171	9	n	n	NOUN
sc-1145	171	10	and	and	CCONJ
sc-1145	171	11	dimension	dimension	NOUN
sc-1145	171	12	d	d	NOUN
sc-1145	171	13	is	be	AUX
sc-1145	171	14	denoted	denote	VERB
sc-1145	171	15	as	as	ADP
sc-1145	171	16	x	x	X
sc-1145	171	17	=	=	PUNCT
sc-1145	172	1	[	[	X
sc-1145	172	2	x1	x1	PROPN
sc-1145	172	3	,	,	PUNCT
sc-1145	172	4	x2	x2	PROPN
sc-1145	172	5	,	,	PUNCT
sc-1145	172	6	...	...	PUNCT
sc-1145	172	7	,	,	PUNCT
sc-1145	172	8	xn	xn	PROPN
sc-1145	173	1	]	]	X
sc-1145	173	2	t	t	X
sc-1145	173	3	,	,	PUNCT
sc-1145	173	4	where	where	SCONJ
sc-1145	173	5	‘	'	PUNCT
sc-1145	173	6	t	t	NOUN
sc-1145	173	7	′	′	NUM
sc-1145	173	8	denotes	denote	NOUN
sc-1145	173	9	the	the	DET
sc-1145	173	10	transpose	transpose	NOUN
sc-1145	173	11	operator	operator	NOUN
sc-1145	173	12	.	.	PUNCT
sc-1145	174	1	each	each	DET
sc-1145	174	2	individual	individual	NOUN
sc-1145	174	3	(	(	PUNCT
sc-1145	174	4	particle	particle	NOUN
sc-1145	174	5	)	)	PUNCT
sc-1145	174	6	xi	xi	X
sc-1145	174	7	(	(	PUNCT
sc-1145	174	8	i	i	NOUN
sc-1145	174	9	=	=	NOUN
sc-1145	174	10	1	1	NUM
sc-1145	174	11	,	,	PUNCT
sc-1145	174	12	2	2	NUM
sc-1145	174	13	,	,	PUNCT
sc-1145	174	14	...	...	PUNCT
sc-1145	174	15	,	,	PUNCT
sc-1145	174	16	n	n	CCONJ
sc-1145	174	17	)	)	PUNCT
sc-1145	174	18	is	be	AUX
sc-1145	174	19	given	give	VERB
sc-1145	174	20	as	as	ADP
sc-1145	174	21	xi	xi	X
sc-1145	174	22	=	=	PROPN
sc-1145	175	1	[	[	X
sc-1145	175	2	xi,1	xi,1	PROPN
sc-1145	175	3	,	,	PUNCT
sc-1145	175	4	xi,2	xi,2	PROPN
sc-1145	175	5	,	,	PUNCT
sc-1145	175	6	...	...	PUNCT
sc-1145	175	7	,	,	PUNCT
sc-1145	175	8	xi	xi	PROPN
sc-1145	175	9	,	,	PUNCT
sc-1145	175	10	d	d	NOUN
sc-1145	175	11	]	]	X
sc-1145	175	12	.	.	PUNCT
sc-1145	176	1	also	also	ADV
sc-1145	176	2	,	,	PUNCT
sc-1145	176	3	the	the	DET
sc-1145	176	4	initial	initial	ADJ
sc-1145	176	5	velocity	velocity	NOUN
sc-1145	176	6	of	of	ADP
sc-1145	176	7	the	the	DET
sc-1145	176	8	population	population	NOUN
sc-1145	176	9	is	be	AUX
sc-1145	176	10	denoted	denote	VERB
sc-1145	176	11	as	as	ADP
sc-1145	176	12	v	v	NOUN
sc-1145	176	13	=	=	SYM
sc-1145	176	14	[	[	X
sc-1145	176	15	v1	v1	NOUN
sc-1145	176	16	,	,	PUNCT
sc-1145	176	17	v2	v2	PROPN
sc-1145	176	18	,	,	PUNCT
sc-1145	176	19	...	...	PUNCT
sc-1145	176	20	,	,	PUNCT
sc-1145	176	21	vn	vn	X
sc-1145	176	22	]	]	PUNCT
sc-1145	176	23	t	t	PROPN
sc-1145	176	24	.	.	PUNCT
sc-1145	177	1	thus	thus	ADV
sc-1145	177	2	,	,	PUNCT
sc-1145	177	3	the	the	DET
sc-1145	177	4	velocity	velocity	NOUN
sc-1145	177	5	of	of	ADP
sc-1145	177	6	each	each	DET
sc-1145	177	7	particle	particle	NOUN
sc-1145	177	8	xi	xi	X
sc-1145	177	9	,	,	PUNCT
sc-1145	177	10	(	(	PUNCT
sc-1145	177	11	i	i	NOUN
sc-1145	177	12	=	=	NOUN
sc-1145	177	13	1	1	NUM
sc-1145	177	14	,	,	PUNCT
sc-1145	177	15	2	2	NUM
sc-1145	177	16	,	,	PUNCT
sc-1145	177	17	...	...	PUNCT
sc-1145	177	18	,	,	PUNCT
sc-1145	177	19	n	n	CCONJ
sc-1145	177	20	)	)	PUNCT
sc-1145	177	21	is	be	AUX
sc-1145	177	22	given	give	VERB
sc-1145	177	23	by	by	ADP
sc-1145	177	24	vi	vi	NOUN
sc-1145	177	25	=	=	SYM
sc-1145	178	1	[	[	X
sc-1145	178	2	vi,1	vi,1	PROPN
sc-1145	178	3	,	,	PUNCT
sc-1145	178	4	vi,2	vi,2	PROPN
sc-1145	178	5	,	,	PUNCT
sc-1145	178	6	...	...	PUNCT
sc-1145	178	7	,	,	PUNCT
sc-1145	178	8	vi	vi	PROPN
sc-1145	178	9	,	,	PUNCT
sc-1145	178	10	d	d	NOUN
sc-1145	178	11	]	]	X
sc-1145	178	12	.	.	PUNCT
sc-1145	179	1	the	the	DET
sc-1145	179	2	index	index	NOUN
sc-1145	179	3	i	i	PRON
sc-1145	179	4	varies	vary	VERB
sc-1145	179	5	from	from	ADP
sc-1145	179	6	1	1	NUM
sc-1145	179	7	to	to	ADP
sc-1145	179	8	n	n	PROPN
sc-1145	179	9	whereas	whereas	SCONJ
sc-1145	179	10	the	the	DET
sc-1145	179	11	index	index	NOUN
sc-1145	179	12	j	j	PROPN
sc-1145	179	13	varies	vary	VERB
sc-1145	179	14	from	from	ADP
sc-1145	179	15	1	1	NUM
sc-1145	179	16	to	to	ADP
sc-1145	179	17	d.	d.	PROPN
sc-1145	179	18	the	the	DET
sc-1145	179	19	pseudocode	pseudocode	PROPN
sc-1145	179	20	of	of	ADP
sc-1145	179	21	pso	pso	NOUN
sc-1145	179	22	is	be	AUX
sc-1145	179	23	given	give	VERB
sc-1145	179	24	in	in	ADP
sc-1145	179	25	algorithm	algorithm	NOUN
sc-1145	179	26	1	1	NUM
sc-1145	180	1	[	[	X
sc-1145	180	2	37	37	NUM
sc-1145	180	3	]	]	PUNCT
sc-1145	180	4	.	.	PUNCT
sc-1145	181	1	complexity	complexity	NOUN
sc-1145	181	2	this	this	DET
sc-1145	181	3	part	part	NOUN
sc-1145	181	4	evaluates	evaluate	VERB
sc-1145	181	5	the	the	DET
sc-1145	181	6	time	time	NOUN
sc-1145	181	7	complexity	complexity	NOUN
sc-1145	181	8	of	of	ADP
sc-1145	181	9	pso	pso	NOUN
sc-1145	181	10	algorithm	algorithm	NOUN
sc-1145	181	11	.	.	PUNCT
sc-1145	182	1	•	•	NUM
sc-1145	182	2	line	line	NOUN
sc-1145	182	3	1	1	NUM
sc-1145	182	4	contributes	contribute	VERB
sc-1145	182	5	for	for	ADP
sc-1145	182	6	one	one	NUM
sc-1145	182	7	(	(	PUNCT
sc-1145	182	8	01	01	NUM
sc-1145	182	9	)	)	PUNCT
sc-1145	182	10	operation	operation	NOUN
sc-1145	182	11	;	;	PUNCT
sc-1145	182	12	•	•	NUM
sc-1145	182	13	line	line	NOUN
sc-1145	182	14	2	2	NUM
sc-1145	182	15	contributes	contribute	VERB
sc-1145	182	16	for	for	ADP
sc-1145	182	17	n	n	DET
sc-1145	182	18	operations	operation	NOUN
sc-1145	182	19	;	;	PUNCT
sc-1145	182	20	•	•	NUM
sc-1145	182	21	line	line	NOUN
sc-1145	182	22	3	3	NUM
sc-1145	182	23	contributes	contribute	VERB
sc-1145	182	24	for	for	ADP
sc-1145	182	25	one	one	NUM
sc-1145	182	26	(	(	PUNCT
sc-1145	182	27	01	01	NUM
sc-1145	182	28	)	)	PUNCT
sc-1145	182	29	operation	operation	NOUN
sc-1145	182	30	;	;	PUNCT
sc-1145	182	31	4	4	NUM
sc-1145	182	32	naomi	naomi	NOUN
sc-1145	182	33	dassi	dassi	PROPN
sc-1145	182	34	tchomté	tchomté	PROPN
sc-1145	182	35	et	et	PROPN
sc-1145	182	36	al	al	PROPN
sc-1145	182	37	.	.	PUNCT
sc-1145	182	38	eai	eai	PROPN
sc-1145	182	39	endorsed	endorse	VERB
sc-1145	182	40	transactions	transaction	NOUN
sc-1145	182	41	on	on	ADP
sc-1145	182	42	smart	smart	ADJ
sc-1145	182	43	cities	city	NOUN
sc-1145	182	44	06	06	NUM
sc-1145	182	45	2018	2018	NUM
sc-1145	182	46	02	02	NUM
sc-1145	182	47	2020	2020	NUM
sc-1145	182	48	|	|	ADV
sc-1145	182	49	volume	volume	NOUN
sc-1145	182	50	4	4	NUM
sc-1145	182	51	|	|	NOUN
sc-1145	182	52	issue	issue	NOUN
sc-1145	182	53	9	9	NUM
sc-1145	182	54	|	|	ADV
sc-1145	182	55	e4	e4	PROPN
sc-1145	182	56	algorithm	algorithm	NOUN
sc-1145	182	57	1	1	NUM
sc-1145	182	58	:	:	PUNCT
sc-1145	182	59	pseudocode	pseudocode	PROPN
sc-1145	182	60	of	of	ADP
sc-1145	182	61	pso	pso	PROPN
sc-1145	182	62	.	.	PUNCT
sc-1145	182	63	1	1	NUM
sc-1145	182	64	set	set	NOUN
sc-1145	182	65	parameter	parameter	NOUN
sc-1145	182	66	wmax	wmax	NOUN
sc-1145	182	67	,	,	PUNCT
sc-1145	182	68	wmin	wmin	NOUN
sc-1145	182	69	,	,	PUNCT
sc-1145	182	70	c1	c1	PROPN
sc-1145	182	71	and	and	CCONJ
sc-1145	182	72	c2	c2	PROPN
sc-1145	182	73	of	of	ADP
sc-1145	182	74	pso	pso	NOUN
sc-1145	182	75	;	;	PUNCT
sc-1145	182	76	2	2	NUM
sc-1145	182	77	initialize	initialize	NOUN
sc-1145	182	78	population	population	NOUN
sc-1145	182	79	of	of	ADP
sc-1145	182	80	particles	particle	NOUN
sc-1145	182	81	having	have	VERB
sc-1145	182	82	positions	position	NOUN
sc-1145	182	83	x	x	PUNCT
sc-1145	182	84	and	and	CCONJ
sc-1145	182	85	velocities	velocity	NOUN
sc-1145	182	86	v	v	NUM
sc-1145	182	87	;	;	PUNCT
sc-1145	182	88	3	3	NUM
sc-1145	182	89	set	set	VERB
sc-1145	182	90	iteration	iteration	NOUN
sc-1145	182	91	k	k	NOUN
sc-1145	182	92	=	=	SYM
sc-1145	182	93	1	1	NUM
sc-1145	182	94	;	;	PUNCT
sc-1145	182	95	4	4	NUM
sc-1145	182	96	calculate	calculate	NOUN
sc-1145	182	97	fitness	fitness	NOUN
sc-1145	182	98	of	of	ADP
sc-1145	182	99	particles	particle	NOUN
sc-1145	182	100	fki	fki	VERB
sc-1145	182	101	=	=	SYM
sc-1145	182	102	f	f	PROPN
sc-1145	182	103	(	(	PUNCT
sc-1145	182	104	xki	xki	PROPN
sc-1145	182	105	)	)	PUNCT
sc-1145	182	106	,	,	PUNCT
sc-1145	182	107	∀i	∀i	NOUN
sc-1145	182	108	and	and	CCONJ
sc-1145	182	109	find	find	VERB
sc-1145	182	110	the	the	DET
sc-1145	182	111	index	index	NOUN
sc-1145	182	112	of	of	ADP
sc-1145	182	113	the	the	DET
sc-1145	182	114	best	good	ADJ
sc-1145	182	115	particle	particle	NOUN
sc-1145	182	116	b	b	PROPN
sc-1145	182	117	;	;	PUNCT
sc-1145	182	118	5	5	NUM
sc-1145	182	119	select	select	NOUN
sc-1145	182	120	p	p	NOUN
sc-1145	182	121	bestki	bestki	NOUN
sc-1145	182	122	=	=	PUNCT
sc-1145	182	123	xki	xki	NOUN
sc-1145	182	124	,	,	PUNCT
sc-1145	182	125	∀i	∀i	NOUN
sc-1145	182	126	and	and	CCONJ
sc-1145	182	127	gbestk	gbestk	ADJ
sc-1145	182	128	=	=	SYM
sc-1145	182	129	xkb	xkb	NOUN
sc-1145	182	130	;	;	PUNCT
sc-1145	182	131	6	6	NUM
sc-1145	182	132	w	w	NOUN
sc-1145	182	133	=	=	NOUN
sc-1145	182	134	wmax	wmax	PROPN
sc-1145	182	135	−	−	PROPN
sc-1145	183	1	k	k	PROPN
sc-1145	183	2	∗	∗	NOUN
sc-1145	183	3	(	(	PUNCT
sc-1145	183	4	wmax	wmax	PROPN
sc-1145	183	5	−	−	PROPN
sc-1145	183	6	wmin)/maxite	wmin)/maxite	INTJ
sc-1145	183	7	;	;	PUNCT
sc-1145	183	8	7	7	NUM
sc-1145	183	9	update	update	NOUN
sc-1145	183	10	velocity	velocity	NOUN
sc-1145	183	11	and	and	CCONJ
sc-1145	183	12	position	position	NOUN
sc-1145	183	13	of	of	ADP
sc-1145	183	14	particles	particle	NOUN
sc-1145	183	15	;	;	PUNCT
sc-1145	183	16	8	8	NUM
sc-1145	183	17	v	v	NOUN
sc-1145	183	18	k+1	k+1	X
sc-1145	183	19	i	i	PROPN
sc-1145	183	20	,	,	PUNCT
sc-1145	183	21	j	j	PROPN
sc-1145	183	22	=	=	PUNCT
sc-1145	184	1	w	w	PROPN
sc-1145	184	2	∗	∗	X
sc-1145	184	3	v	v	NOUN
sc-1145	184	4	ki	ki	PROPN
sc-1145	184	5	,	,	PUNCT
sc-1145	184	6	j	j	PROPN
sc-1145	184	7	+	+	PROPN
sc-1145	184	8	c1	c1	PROPN
sc-1145	184	9	∗	∗	NOUN
sc-1145	184	10	rand	rand	PROPN
sc-1145	184	11	(	(	PUNCT
sc-1145	184	12	)	)	PUNCT
sc-1145	184	13	∗	∗	NOUN
sc-1145	184	14	(	(	PUNCT
sc-1145	184	15	p	p	NOUN
sc-1145	184	16	bestki	bestki	NOUN
sc-1145	184	17	,	,	PUNCT
sc-1145	184	18	j	j	PROPN
sc-1145	185	1	−	−	PROPN
sc-1145	185	2	x	x	X
sc-1145	185	3	k	k	PROPN
sc-1145	185	4	i	i	PROPN
sc-1145	185	5	,	,	PUNCT
sc-1145	185	6	j	j	PROPN
sc-1145	185	7	)	)	PUNCT
sc-1145	186	1	+	+	CCONJ
sc-1145	186	2	c2	c2	PROPN
sc-1145	186	3	∗	∗	NOUN
sc-1145	186	4	rand	rand	NOUN
sc-1145	186	5	(	(	PUNCT
sc-1145	186	6	)	)	PUNCT
sc-1145	186	7	∗	∗	NOUN
sc-1145	186	8	(	(	PUNCT
sc-1145	186	9	p	p	NOUN
sc-1145	186	10	bestki	bestki	NOUN
sc-1145	186	11	,	,	PUNCT
sc-1145	186	12	j	j	PROPN
sc-1145	187	1	−	−	PROPN
sc-1145	187	2	x	x	X
sc-1145	187	3	k	k	PROPN
sc-1145	187	4	i	i	PROPN
sc-1145	187	5	,	,	PUNCT
sc-1145	187	6	j	j	PROPN
sc-1145	187	7	)	)	PUNCT
sc-1145	187	8	;	;	PUNCT
sc-1145	187	9	∀j	∀j	NOUN
sc-1145	187	10	and	and	CCONJ
sc-1145	187	11	∀i	∀i	NOUN
sc-1145	187	12	;	;	PUNCT
sc-1145	187	13	9	9	NUM
sc-1145	187	14	xk+1	xk+1	X
sc-1145	187	15	i	i	PRON
sc-1145	187	16	,	,	PUNCT
sc-1145	187	17	j	j	PROPN
sc-1145	187	18	=	=	PROPN
sc-1145	187	19	xki	xki	PROPN
sc-1145	187	20	,	,	PUNCT
sc-1145	187	21	j	j	PROPN
sc-1145	187	22	+	+	X
sc-1145	187	23	v	v	ADP
sc-1145	187	24	k+1	k+1	X
sc-1145	187	25	i	i	PROPN
sc-1145	187	26	,	,	PUNCT
sc-1145	187	27	j	j	PROPN
sc-1145	187	28	;	;	PUNCT
sc-1145	187	29	∀j	∀j	NOUN
sc-1145	187	30	and	and	CCONJ
sc-1145	187	31	∀i	∀i	NOUN
sc-1145	187	32	;	;	PUNCT
sc-1145	187	33	10	10	NUM
sc-1145	187	34	evaluate	evaluate	VERB
sc-1145	187	35	fitness	fitness	NOUN
sc-1145	187	36	fk+1	fk+1	NUM
sc-1145	188	1	i	i	NOUN
sc-1145	188	2	=	=	SYM
sc-1145	188	3	f	f	PROPN
sc-1145	188	4	(	(	PUNCT
sc-1145	188	5	xk+1	xk+1	PROPN
sc-1145	188	6	i	i	PROPN
sc-1145	188	7	)	)	PUNCT
sc-1145	188	8	,	,	PUNCT
sc-1145	188	9	∀i	∀i	NOUN
sc-1145	188	10	and	and	CCONJ
sc-1145	188	11	find	find	VERB
sc-1145	188	12	the	the	DET
sc-1145	188	13	index	index	NOUN
sc-1145	188	14	of	of	ADP
sc-1145	188	15	the	the	DET
sc-1145	188	16	best	good	ADJ
sc-1145	188	17	particle	particle	NOUN
sc-1145	188	18	b1	b1	NOUN
sc-1145	188	19	;	;	PUNCT
sc-1145	188	20	11	11	NUM
sc-1145	188	21	update	update	NOUN
sc-1145	188	22	gbest	gbest	NOUN
sc-1145	188	23	of	of	ADP
sc-1145	188	24	population	population	NOUN
sc-1145	188	25	;	;	PUNCT
sc-1145	188	26	12	12	NUM
sc-1145	188	27	if	if	SCONJ
sc-1145	188	28	fk+1	fk+1	VERB
sc-1145	188	29	i	i	PRON
sc-1145	188	30	<	<	X
sc-1145	188	31	fki	fki	PROPN
sc-1145	188	32	then	then	ADV
sc-1145	188	33	13	13	NUM
sc-1145	188	34	gbestk+1	gbestk+1	NOUN
sc-1145	188	35	=	=	PUNCT
sc-1145	188	36	xk+1	xk+1	PROPN
sc-1145	188	37	j	j	PROPN
sc-1145	188	38	14	14	NUM
sc-1145	188	39	else	else	ADV
sc-1145	188	40	15	15	NUM
sc-1145	188	41	p	p	NOUN
sc-1145	188	42	bestk+1	bestk+1	NOUN
sc-1145	188	43	j	j	NOUN
sc-1145	189	1	=	=	SYM
sc-1145	189	2	p	p	NOUN
sc-1145	189	3	bestkj	bestkj	NOUN
sc-1145	189	4	16	16	NUM
sc-1145	189	5	update	update	NOUN
sc-1145	189	6	p	p	X
sc-1145	189	7	best	good	ADJ
sc-1145	189	8	of	of	ADP
sc-1145	189	9	population	population	NOUN
sc-1145	189	10	;	;	PUNCT
sc-1145	189	11	17	17	NUM
sc-1145	189	12	if	if	SCONJ
sc-1145	189	13	fk+1	fk+1	NOUN
sc-1145	189	14	b1	b1	NOUN
sc-1145	189	15	<	<	X
sc-1145	189	16	fkb	fkb	PROPN
sc-1145	189	17	then	then	ADV
sc-1145	189	18	18	18	NUM
sc-1145	189	19	gbestk+1	gbestk+1	NOUN
sc-1145	189	20	=	=	SYM
sc-1145	189	21	p	p	NOUN
sc-1145	189	22	bestk+1	bestk+1	VERB
sc-1145	189	23	b1	b1	NOUN
sc-1145	189	24	and	and	CCONJ
sc-1145	189	25	b	b	X
sc-1145	189	26	=	=	PROPN
sc-1145	189	27	b1	b1	PROPN
sc-1145	189	28	19	19	NUM
sc-1145	189	29	else	else	ADV
sc-1145	189	30	20	20	NUM
sc-1145	189	31	gbestk+1	gbestk+1	NOUN
sc-1145	189	32	=	=	SYM
sc-1145	189	33	gbestk	gbestk	NOUN
sc-1145	189	34	21	21	NUM
sc-1145	189	35	if	if	SCONJ
sc-1145	189	36	k	k	PROPN
sc-1145	189	37	<	<	X
sc-1145	189	38	maxite	maxite	PROPN
sc-1145	189	39	then	then	ADV
sc-1145	189	40	22	22	NUM
sc-1145	189	41	k	k	NOUN
sc-1145	189	42	=	=	PUNCT
sc-1145	190	1	k	k	PROPN
sc-1145	191	1	+	+	CCONJ
sc-1145	191	2	1	1	NUM
sc-1145	191	3	and	and	CCONJ
sc-1145	191	4	goto	goto	ADJ
sc-1145	191	5	step	step	NOUN
sc-1145	191	6	6	6	NUM
sc-1145	191	7	23	23	NUM
sc-1145	191	8	else	else	ADV
sc-1145	191	9	24	24	NUM
sc-1145	191	10	goto	goto	NOUN
sc-1145	191	11	step	step	NOUN
sc-1145	191	12	25	25	NUM
sc-1145	191	13	25	25	NUM
sc-1145	191	14	print	print	NOUN
sc-1145	191	15	optimum	optimum	ADJ
sc-1145	191	16	solution	solution	NOUN
sc-1145	191	17	as	as	ADP
sc-1145	191	18	gbestk	gbestk	ADJ
sc-1145	191	19	;	;	PUNCT
sc-1145	191	20	•	•	NUM
sc-1145	191	21	line	line	NOUN
sc-1145	191	22	4	4	NUM
sc-1145	191	23	contributes	contribute	VERB
sc-1145	191	24	for	for	ADP
sc-1145	191	25	1	1	NUM
sc-1145	191	26	+	+	CCONJ
sc-1145	191	27	logn	logn	ADJ
sc-1145	191	28	operations	operation	NOUN
sc-1145	191	29	with	with	ADP
sc-1145	191	30	a	a	DET
sc-1145	191	31	binary	binary	ADJ
sc-1145	191	32	search	search	NOUN
sc-1145	191	33	to	to	PART
sc-1145	191	34	look	look	VERB
sc-1145	191	35	for	for	ADP
sc-1145	191	36	index	index	NOUN
sc-1145	191	37	of	of	ADP
sc-1145	191	38	the	the	DET
sc-1145	191	39	best	good	ADJ
sc-1145	191	40	particle	particle	NOUN
sc-1145	191	41	;	;	PUNCT
sc-1145	191	42	•	•	NUM
sc-1145	191	43	line	line	NOUN
sc-1145	191	44	5	5	NUM
sc-1145	191	45	contributes	contribute	VERB
sc-1145	191	46	for	for	ADP
sc-1145	191	47	two	two	NUM
sc-1145	191	48	(	(	PUNCT
sc-1145	191	49	02	02	NUM
sc-1145	191	50	)	)	PUNCT
sc-1145	191	51	operations	operation	NOUN
sc-1145	191	52	;	;	PUNCT
sc-1145	191	53	•	•	NUM
sc-1145	191	54	line	line	NOUN
sc-1145	191	55	6	6	NUM
sc-1145	191	56	7	7	NUM
sc-1145	191	57	perform	perform	NOUN
sc-1145	191	58	n	n	PRON
sc-1145	191	59	iterations	iteration	NOUN
sc-1145	191	60	in	in	ADP
sc-1145	191	61	outer	outer	ADJ
sc-1145	191	62	loop	loop	NOUN
sc-1145	191	63	and	and	CCONJ
sc-1145	191	64	use	use	VERB
sc-1145	191	65	bubble	bubble	NOUN
sc-1145	191	66	sorting	sort	VERB
sc-1145	191	67	algorithm	algorithm	NOUN
sc-1145	191	68	with	with	ADP
sc-1145	191	69	six	six	NUM
sc-1145	191	70	(	(	PUNCT
sc-1145	191	71	06	06	NUM
sc-1145	191	72	)	)	PUNCT
sc-1145	191	73	operations	operation	NOUN
sc-1145	191	74	;	;	PUNCT
sc-1145	191	75	•	•	NUM
sc-1145	191	76	line	line	NOUN
sc-1145	191	77	8	8	NUM
sc-1145	191	78	performsn	performsn	NOUN
sc-1145	191	79	iterations	iteration	NOUN
sc-1145	191	80	in	in	ADP
sc-1145	191	81	outer	outer	ADJ
sc-1145	191	82	loop	loop	NOUN
sc-1145	191	83	for	for	ADP
sc-1145	191	84	nine	nine	NUM
sc-1145	191	85	(	(	PUNCT
sc-1145	191	86	09	09	NUM
sc-1145	191	87	)	)	PUNCT
sc-1145	191	88	operations	operation	NOUN
sc-1145	191	89	;	;	PUNCT
sc-1145	191	90	•	•	NUM
sc-1145	191	91	line	line	NOUN
sc-1145	191	92	9	9	NUM
sc-1145	191	93	performs	perform	VERB
sc-1145	191	94	n	n	PRON
sc-1145	191	95	iterations	iteration	NOUN
sc-1145	191	96	in	in	ADP
sc-1145	191	97	outer	outer	ADJ
sc-1145	191	98	loop	loop	NOUN
sc-1145	191	99	for	for	ADP
sc-1145	191	100	one	one	NUM
sc-1145	191	101	(	(	PUNCT
sc-1145	191	102	01	01	NUM
sc-1145	191	103	)	)	PUNCT
sc-1145	191	104	operation	operation	NOUN
sc-1145	191	105	;	;	PUNCT
sc-1145	191	106	•	•	NUM
sc-1145	191	107	line	line	NOUN
sc-1145	191	108	10	10	NUM
sc-1145	191	109	performs	perform	NOUN
sc-1145	191	110	logn	logn	VERB
sc-1145	191	111	operations	operation	NOUN
sc-1145	191	112	to	to	PART
sc-1145	191	113	look	look	VERB
sc-1145	191	114	for	for	ADP
sc-1145	191	115	the	the	DET
sc-1145	191	116	best	good	ADJ
sc-1145	191	117	element	element	NOUN
sc-1145	191	118	(	(	PUNCT
sc-1145	191	119	binary	binary	ADJ
sc-1145	191	120	search	search	NOUN
sc-1145	191	121	)	)	PUNCT
sc-1145	191	122	;	;	PUNCT
sc-1145	191	123	•	•	NUM
sc-1145	191	124	line	line	NOUN
sc-1145	191	125	11	11	NUM
sc-1145	191	126	performs	perform	VERB
sc-1145	191	127	one	one	NUM
sc-1145	191	128	(	(	PUNCT
sc-1145	191	129	01	01	NUM
sc-1145	191	130	)	)	PUNCT
sc-1145	191	131	operation	operation	NOUN
sc-1145	191	132	;	;	PUNCT
sc-1145	191	133	•	•	NUM
sc-1145	191	134	line	line	NOUN
sc-1145	191	135	12	12	NUM
sc-1145	191	136	to	to	PART
sc-1145	191	137	line	line	VERB
sc-1145	191	138	15	15	NUM
sc-1145	191	139	perform	perform	NOUN
sc-1145	191	140	one	one	NUM
sc-1145	191	141	(	(	PUNCT
sc-1145	191	142	01	01	NUM
sc-1145	191	143	)	)	PUNCT
sc-1145	191	144	operation	operation	NOUN
sc-1145	191	145	;	;	PUNCT
sc-1145	191	146	•	•	NUM
sc-1145	191	147	line	line	NOUN
sc-1145	191	148	16	16	NUM
sc-1145	191	149	performs	perform	VERB
sc-1145	191	150	one	one	NUM
sc-1145	191	151	(	(	PUNCT
sc-1145	191	152	01	01	NUM
sc-1145	191	153	)	)	PUNCT
sc-1145	191	154	operation	operation	NOUN
sc-1145	191	155	;	;	PUNCT
sc-1145	191	156	•	•	NUM
sc-1145	191	157	line	line	NOUN
sc-1145	191	158	17	17	NUM
sc-1145	191	159	to	to	PART
sc-1145	191	160	line	line	NOUN
sc-1145	191	161	20	20	NUM
sc-1145	191	162	perform	perform	VERB
sc-1145	191	163	one	one	NUM
sc-1145	191	164	(	(	PUNCT
sc-1145	191	165	01	01	NUM
sc-1145	191	166	)	)	PUNCT
sc-1145	191	167	operation	operation	NOUN
sc-1145	191	168	;	;	PUNCT
sc-1145	191	169	•	•	NUM
sc-1145	191	170	line	line	NOUN
sc-1145	191	171	21	21	NUM
sc-1145	191	172	to	to	PART
sc-1145	191	173	line	line	VERB
sc-1145	191	174	24	24	NUM
sc-1145	191	175	perform	perform	VERB
sc-1145	191	176	one	one	NUM
sc-1145	191	177	(	(	PUNCT
sc-1145	191	178	01	01	NUM
sc-1145	191	179	)	)	PUNCT
sc-1145	191	180	operation	operation	NOUN
sc-1145	191	181	;	;	PUNCT
sc-1145	191	182	•	•	NUM
sc-1145	191	183	line	line	NOUN
sc-1145	191	184	25	25	NUM
sc-1145	191	185	performs	perform	VERB
sc-1145	191	186	one	one	NUM
sc-1145	191	187	(	(	PUNCT
sc-1145	191	188	01	01	NUM
sc-1145	191	189	)	)	PUNCT
sc-1145	191	190	operation	operation	NOUN
sc-1145	191	191	.	.	PUNCT
sc-1145	192	1	•	•	NUM
sc-1145	192	2	n.b	n.b	NOUN
sc-1145	192	3	:	:	PUNCT
sc-1145	192	4	the	the	DET
sc-1145	192	5	goto	goto	ADJ
sc-1145	192	6	operation	operation	NOUN
sc-1145	192	7	indicates	indicate	VERB
sc-1145	192	8	k	k	PROPN
sc-1145	192	9	iterations	iteration	NOUN
sc-1145	192	10	in	in	ADP
sc-1145	192	11	a	a	DET
sc-1145	192	12	outer	outer	ADJ
sc-1145	192	13	loop	loop	NOUN
sc-1145	192	14	from	from	ADP
sc-1145	192	15	line	line	NOUN
sc-1145	192	16	6	6	NUM
sc-1145	192	17	to	to	PART
sc-1145	192	18	line	line	NOUN
sc-1145	192	19	22	22	NUM
sc-1145	192	20	.	.	PUNCT
sc-1145	193	1	in	in	ADP
sc-1145	193	2	summary	summary	NOUN
sc-1145	193	3	,	,	PUNCT
sc-1145	193	4	t(n	t(n	PROPN
sc-1145	193	5	)	)	PUNCT
sc-1145	193	6	=	=	PUNCT
sc-1145	193	7	1	1	NUM
sc-1145	193	8	+	+	NOUN
sc-1145	193	9	n	n	NOUN
sc-1145	193	10	+	+	CCONJ
sc-1145	193	11	1	1	NUM
sc-1145	193	12	+	+	CCONJ
sc-1145	193	13	(	(	PUNCT
sc-1145	193	14	1	1	NUM
sc-1145	193	15	+	+	CCONJ
sc-1145	193	16	logn	logn	NOUN
sc-1145	193	17	)	)	PUNCT
sc-1145	193	18	+	+	CCONJ
sc-1145	193	19	1	1	NUM
sc-1145	193	20	+	+	CCONJ
sc-1145	193	21	k(6	k(6	PROPN
sc-1145	193	22	+	+	CCONJ
sc-1145	193	23	n	n	CCONJ
sc-1145	193	24	logn	logn	VERB
sc-1145	193	25	+	+	NOUN
sc-1145	193	26	n	n	CCONJ
sc-1145	193	27	(	(	PUNCT
sc-1145	193	28	9	9	NUM
sc-1145	193	29	+	+	NOUN
sc-1145	193	30	1	1	NUM
sc-1145	193	31	)	)	PUNCT
sc-1145	193	32	+	+	CCONJ
sc-1145	193	33	(	(	PUNCT
sc-1145	193	34	logn	logn	VERB
sc-1145	193	35	+	+	CCONJ
sc-1145	193	36	1	1	NUM
sc-1145	193	37	+	+	NUM
sc-1145	193	38	1	1	NUM
sc-1145	194	1	+	+	NUM
sc-1145	194	2	1	1	NUM
sc-1145	194	3	+	+	NUM
sc-1145	194	4	1	1	NUM
sc-1145	194	5	+	+	NUM
sc-1145	194	6	1	1	NUM
sc-1145	194	7	+	+	NUM
sc-1145	194	8	1	1	NUM
sc-1145	194	9	)	)	PUNCT
sc-1145	194	10	)	)	PUNCT
sc-1145	195	1	=	=	SYM
sc-1145	195	2	n	n	PROPN
sc-1145	195	3	+	+	CCONJ
sc-1145	195	4	logn	logn	VERB
sc-1145	196	1	+	+	CCONJ
sc-1145	196	2	k(10n	k(10n	NOUN
sc-1145	196	3	+	+	CCONJ
sc-1145	196	4	12	12	NUM
sc-1145	196	5	+	+	CCONJ
sc-1145	196	6	logn	logn	VERB
sc-1145	196	7	+	+	PROPN
sc-1145	196	8	n	n	PRON
sc-1145	196	9	logn	logn	NOUN
sc-1145	196	10	)	)	PUNCT
sc-1145	197	1	+	+	CCONJ
sc-1145	197	2	4	4	X
sc-1145	197	3	.	.	X
sc-1145	197	4	pso	pso	NOUN
sc-1145	197	5	includes	include	VERB
sc-1145	197	6	two	two	NUM
sc-1145	197	7	inner	inner	ADJ
sc-1145	197	8	loops	loop	NOUN
sc-1145	197	9	based	base	VERB
sc-1145	197	10	on	on	ADP
sc-1145	197	11	the	the	DET
sc-1145	197	12	population	population	NOUN
sc-1145	197	13	n	n	CCONJ
sc-1145	197	14	,	,	PUNCT
sc-1145	197	15	and	and	CCONJ
sc-1145	197	16	one	one	NUM
sc-1145	197	17	outer	outer	ADJ
sc-1145	197	18	loop	loop	NOUN
sc-1145	197	19	for	for	ADP
sc-1145	197	20	iteration	iteration	NOUN
sc-1145	197	21	k	k	PROPN
sc-1145	197	22	(	(	PUNCT
sc-1145	197	23	from	from	ADP
sc-1145	197	24	line	line	NOUN
sc-1145	197	25	6	6	NUM
sc-1145	197	26	to	to	ADP
sc-1145	197	27	line	line	NOUN
sc-1145	197	28	22	22	NUM
sc-1145	197	29	)	)	PUNCT
sc-1145	197	30	.	.	PUNCT
sc-1145	198	1	the	the	DET
sc-1145	198	2	complexity	complexity	NOUN
sc-1145	198	3	time	time	NOUN
sc-1145	198	4	t(n	t(n	PROPN
sc-1145	198	5	)	)	PUNCT
sc-1145	198	6	is	be	AUX
sc-1145	198	7	linear	linear	ADJ
sc-1145	198	8	in	in	ADP
sc-1145	198	9	terms	term	NOUN
sc-1145	198	10	of	of	ADP
sc-1145	198	11	k	k	NOUN
sc-1145	198	12	,	,	PUNCT
sc-1145	198	13	which	which	PRON
sc-1145	198	14	is	be	AUX
sc-1145	198	15	in	in	ADP
sc-1145	198	16	fact	fact	NOUN
sc-1145	198	17	,	,	PUNCT
sc-1145	198	18	the	the	DET
sc-1145	198	19	number	number	NOUN
sc-1145	198	20	of	of	ADP
sc-1145	198	21	iterations	iteration	NOUN
sc-1145	198	22	of	of	ADP
sc-1145	198	23	the	the	DET
sc-1145	198	24	particle	particle	NOUN
sc-1145	198	25	movements	movement	NOUN
sc-1145	198	26	.	.	PUNCT
sc-1145	199	1	higher	high	ADJ
sc-1145	199	2	,	,	PUNCT
sc-1145	199	3	the	the	DET
sc-1145	199	4	number	number	NOUN
sc-1145	199	5	of	of	ADP
sc-1145	199	6	iterations	iteration	NOUN
sc-1145	199	7	,	,	PUNCT
sc-1145	199	8	higher	high	ADJ
sc-1145	199	9	is	be	AUX
sc-1145	199	10	t(n	t(n	PROPN
sc-1145	199	11	)	)	PUNCT
sc-1145	199	12	.	.	PUNCT
sc-1145	200	1	the	the	DET
sc-1145	200	2	main	main	ADJ
sc-1145	200	3	computational	computational	ADJ
sc-1145	200	4	constraint	constraint	NOUN
sc-1145	200	5	concerns	concern	NOUN
sc-1145	200	6	evaluating	evaluate	VERB
sc-1145	200	7	complexity	complexity	NOUN
sc-1145	200	8	time	time	NOUN
sc-1145	200	9	related	relate	VERB
sc-1145	200	10	to	to	ADP
sc-1145	200	11	the	the	DET
sc-1145	200	12	objective	objective	ADJ
sc-1145	200	13	function	function	NOUN
sc-1145	200	14	(	(	PUNCT
sc-1145	200	15	#	#	SYM
sc-1145	200	16	obj	obj	PROPN
sc-1145	200	17	)	)	PUNCT
sc-1145	200	18	.	.	PUNCT
sc-1145	201	1	therefore	therefore	ADV
sc-1145	201	2	,	,	PUNCT
sc-1145	201	3	t(n	t(n	PROPN
sc-1145	201	4	)	)	PUNCT
sc-1145	201	5	=	=	SYM
sc-1145	201	6	n	n	PROPN
sc-1145	201	7	+	+	CCONJ
sc-1145	201	8	logn	logn	VERB
sc-1145	201	9	+	+	CCONJ
sc-1145	201	10	k(10n	k(10n	NOUN
sc-1145	201	11	+	+	CCONJ
sc-1145	201	12	12	12	NUM
sc-1145	201	13	+	+	CCONJ
sc-1145	201	14	logn	logn	VERB
sc-1145	201	15	+	+	PROPN
sc-1145	201	16	n	n	PRON
sc-1145	201	17	logn	logn	NOUN
sc-1145	201	18	)	)	PUNCT
sc-1145	202	1	+	+	CCONJ
sc-1145	202	2	4	4	NUM
sc-1145	202	3	+	+	SYM
sc-1145	202	4	#	#	SYM
sc-1145	202	5	obj	obj	PROPN
sc-1145	202	6	3.5	3.5	NUM
sc-1145	202	7	.	.	PUNCT
sc-1145	203	1	k	k	X
sc-1145	203	2	-	-	PUNCT
sc-1145	203	3	nearest	near	ADJ
sc-1145	203	4	neighbors	neighbor	NOUN
sc-1145	203	5	k	k	ADV
sc-1145	203	6	-	-	PUNCT
sc-1145	203	7	nearest	near	ADJ
sc-1145	203	8	neighbours	neighbour	NOUN
sc-1145	203	9	(	(	PUNCT
sc-1145	203	10	k	k	NOUN
sc-1145	203	11	-	-	PUNCT
sc-1145	203	12	nn	nn	NOUN
sc-1145	203	13	)	)	PUNCT
sc-1145	203	14	is	be	AUX
sc-1145	203	15	a	a	DET
sc-1145	203	16	supervised	supervised	ADJ
sc-1145	203	17	learning	learning	NOUN
sc-1145	203	18	technique	technique	NOUN
sc-1145	203	19	used	use	VERB
sc-1145	203	20	for	for	ADP
sc-1145	203	21	classification	classification	NOUN
sc-1145	203	22	based	base	VERB
sc-1145	203	23	on	on	ADP
sc-1145	203	24	majority	majority	NOUN
sc-1145	203	25	of	of	ADP
sc-1145	203	26	k	k	PROPN
sc-1145	203	27	nearest	near	ADJ
sc-1145	203	28	neighbours	neighbour	NOUN
sc-1145	204	1	[	[	X
sc-1145	204	2	38	38	NUM
sc-1145	204	3	]	]	PUNCT
sc-1145	204	4	and	and	CCONJ
sc-1145	205	1	[	[	X
sc-1145	205	2	39	39	NUM
sc-1145	205	3	]	]	PUNCT
sc-1145	205	4	.	.	PUNCT
sc-1145	206	1	it	it	PRON
sc-1145	206	2	relies	rely	VERB
sc-1145	206	3	on	on	ADP
sc-1145	206	4	euclidean	euclidean	ADJ
sc-1145	206	5	distance	distance	NOUN
sc-1145	206	6	based	base	VERB
sc-1145	206	7	metrics	metric	NOUN
sc-1145	206	8	to	to	PART
sc-1145	206	9	determine	determine	VERB
sc-1145	206	10	minimum	minimum	ADJ
sc-1145	206	11	distance	distance	NOUN
sc-1145	206	12	from	from	ADP
sc-1145	206	13	the	the	DET
sc-1145	206	14	query	query	NOUN
sc-1145	206	15	instance	instance	NOUN
sc-1145	206	16	to	to	ADP
sc-1145	206	17	the	the	DET
sc-1145	206	18	training	training	NOUN
sc-1145	206	19	samples	sample	NOUN
sc-1145	206	20	to	to	PART
sc-1145	206	21	determine	determine	VERB
sc-1145	206	22	the	the	DET
sc-1145	206	23	k	k	PROPN
sc-1145	206	24	-	-	PUNCT
sc-1145	206	25	nn	nn	PROPN
sc-1145	206	26	.	.	PROPN
sc-1145	206	27	the	the	DET
sc-1145	206	28	pseudocode	pseudocode	PROPN
sc-1145	206	29	of	of	ADP
sc-1145	206	30	k	k	PROPN
sc-1145	206	31	-	-	PUNCT
sc-1145	206	32	nn	nn	PROPN
sc-1145	206	33	is	be	AUX
sc-1145	206	34	given	give	VERB
sc-1145	206	35	in	in	ADP
sc-1145	206	36	algorithm	algorithm	NOUN
sc-1145	206	37	2	2	NUM
sc-1145	207	1	[	[	X
sc-1145	207	2	40	40	NUM
sc-1145	207	3	]	]	PUNCT
sc-1145	207	4	and	and	CCONJ
sc-1145	207	5	is	be	AUX
sc-1145	207	6	illustrated	illustrate	VERB
sc-1145	207	7	in	in	ADP
sc-1145	207	8	figure	figure	NOUN
sc-1145	207	9	2	2	NUM
sc-1145	207	10	.	.	PUNCT
sc-1145	207	11	algorithm	algorithm	NOUN
sc-1145	207	12	2	2	NUM
sc-1145	207	13	:	:	PUNCT
sc-1145	207	14	pseudocode	pseudocode	PROPN
sc-1145	207	15	of	of	ADP
sc-1145	207	16	k	k	PROPN
sc-1145	207	17	-	-	PROPN
sc-1145	207	18	nn	nn	PROPN
sc-1145	207	19	1	1	NUM
sc-1145	207	20	:	:	PUNCT
sc-1145	207	21	the	the	DET
sc-1145	207	22	data	data	NOUN
sc-1145	207	23	is	be	AUX
sc-1145	207	24	loaded	load	VERB
sc-1145	207	25	.	.	PUNCT
sc-1145	208	1	2	2	NUM
sc-1145	208	2	:	:	PUNCT
sc-1145	208	3	the	the	DET
sc-1145	208	4	value	value	NOUN
sc-1145	208	5	k	k	PROPN
sc-1145	208	6	is	be	AUX
sc-1145	208	7	initialized	initialize	VERB
sc-1145	208	8	.	.	PUNCT
sc-1145	209	1	3	3	NUM
sc-1145	209	2	:	:	PUNCT
sc-1145	209	3	for	for	ADP
sc-1145	209	4	every	every	DET
sc-1145	209	5	point	point	NOUN
sc-1145	209	6	in	in	ADP
sc-1145	209	7	the	the	DET
sc-1145	209	8	training	training	NOUN
sc-1145	209	9	data	datum	NOUN
sc-1145	209	10	4	4	NUM
sc-1145	209	11	:	:	PUNCT
sc-1145	209	12	distancevector	distancevector	NOUN
sc-1145	209	13	<	<	AUX
sc-1145	209	14	calculate	calculate	VERB
sc-1145	209	15	the	the	DET
sc-1145	209	16	distance	distance	NOUN
sc-1145	209	17	between	between	ADP
sc-1145	209	18	testing	test	VERB
sc-1145	209	19	data	datum	NOUN
sc-1145	209	20	and	and	CCONJ
sc-1145	209	21	each	each	DET
sc-1145	209	22	row	row	NOUN
sc-1145	209	23	of	of	ADP
sc-1145	209	24	training	training	NOUN
sc-1145	209	25	data	datum	NOUN
sc-1145	209	26	.	.	PUNCT
sc-1145	210	1	here	here	ADV
sc-1145	210	2	,	,	PUNCT
sc-1145	210	3	euclidean	euclidean	ADJ
sc-1145	210	4	distance	distance	NOUN
sc-1145	210	5	or	or	CCONJ
sc-1145	210	6	other	other	ADJ
sc-1145	210	7	metrics	metric	NOUN
sc-1145	210	8	such	such	ADJ
sc-1145	210	9	as	as	ADP
sc-1145	210	10	chebyshev	chebyshev	NOUN
sc-1145	210	11	or	or	CCONJ
sc-1145	210	12	cosine	cosine	NOUN
sc-1145	210	13	can	can	AUX
sc-1145	210	14	be	be	AUX
sc-1145	210	15	used	use	VERB
sc-1145	210	16	.	.	PUNCT
sc-1145	211	1	5	5	NUM
sc-1145	211	2	:	:	PUNCT
sc-1145	211	3	vectorsorted	vectorsorte	VERB
sc-1145	211	4	<	<	X
sc-1145	211	5	sorting	sort	VERB
sc-1145	211	6	distancevector	distancevector	NOUN
sc-1145	211	7	in	in	ADP
sc-1145	211	8	ascending	ascend	VERB
sc-1145	211	9	order	order	NOUN
sc-1145	211	10	based	base	VERB
sc-1145	211	11	on	on	ADP
sc-1145	211	12	distance	distance	NOUN
sc-1145	211	13	values	value	NOUN
sc-1145	211	14	;	;	PUNCT
sc-1145	211	15	6	6	NUM
sc-1145	211	16	:	:	PUNCT
sc-1145	211	17	topk	topk	NOUN
sc-1145	211	18	<	<	AUX
sc-1145	211	19	get	get	VERB
sc-1145	211	20	top	top	ADJ
sc-1145	211	21	k	k	PROPN
sc-1145	211	22	rows	row	NOUN
sc-1145	211	23	from	from	ADP
sc-1145	211	24	vectorsorted	vectorsorted	ADJ
sc-1145	211	25	;	;	PUNCT
sc-1145	211	26	7	7	NUM
sc-1145	211	27	:	:	PUNCT
sc-1145	211	28	frequentclass	frequentclass	NOUN
sc-1145	211	29	<	<	AUX
sc-1145	211	30	get	get	VERB
sc-1145	211	31	the	the	DET
sc-1145	211	32	most	most	ADV
sc-1145	211	33	frequent	frequent	ADJ
sc-1145	211	34	class	class	NOUN
sc-1145	211	35	of	of	ADP
sc-1145	211	36	these	these	DET
sc-1145	211	37	rows	row	NOUN
sc-1145	211	38	;	;	PUNCT
sc-1145	211	39	8	8	NUM
sc-1145	211	40	:	:	PUNCT
sc-1145	211	41	return	return	NOUN
sc-1145	211	42	frequentclass	frequentclass	NOUN
sc-1145	211	43	3.6	3.6	NUM
sc-1145	211	44	.	.	PUNCT
sc-1145	212	1	k	k	X
sc-1145	212	2	-	-	PUNCT
sc-1145	212	3	means	mean	VERB
sc-1145	212	4	clustering	cluster	VERB
sc-1145	212	5	k	k	NOUN
sc-1145	212	6	-	-	PUNCT
sc-1145	212	7	means	means	NOUN
sc-1145	212	8	[	[	X
sc-1145	212	9	41	41	NUM
sc-1145	212	10	]	]	PUNCT
sc-1145	212	11	is	be	AUX
sc-1145	212	12	an	an	DET
sc-1145	212	13	unsupervised	unsupervised	ADJ
sc-1145	212	14	learning	learning	NOUN
sc-1145	212	15	technique	technique	NOUN
sc-1145	212	16	used	use	VERB
sc-1145	212	17	for	for	ADP
sc-1145	212	18	clustering	clustering	NOUN
sc-1145	212	19	.	.	PUNCT
sc-1145	213	1	the	the	DET
sc-1145	213	2	following	follow	VERB
sc-1145	213	3	steps	step	NOUN
sc-1145	213	4	[	[	X
sc-1145	213	5	42	42	NUM
sc-1145	213	6	]	]	PUNCT
sc-1145	213	7	are	be	AUX
sc-1145	213	8	involved	involve	VERB
sc-1145	213	9	in	in	ADP
sc-1145	213	10	k	k	ADJ
sc-1145	213	11	-	-	ADJ
sc-1145	213	12	mean	mean	ADJ
sc-1145	213	13	clustering	clustering	NOUN
sc-1145	213	14	and	and	CCONJ
sc-1145	213	15	is	be	AUX
sc-1145	213	16	illustrated	illustrate	VERB
sc-1145	213	17	in	in	ADP
sc-1145	213	18	figure	figure	NOUN
sc-1145	213	19	3	3	NUM
sc-1145	213	20	.	.	NOUN
sc-1145	213	21	5	5	NUM
sc-1145	213	22	a	a	DET
sc-1145	213	23	case	case	NOUN
sc-1145	213	24	based	base	VERB
sc-1145	213	25	reasoning	reasoning	NOUN
sc-1145	213	26	coupling	couple	VERB
sc-1145	213	27	multi	multi	ADJ
sc-1145	213	28	-	-	ADJ
sc-1145	213	29	criteria	criterion	NOUN
sc-1145	213	30	decision	decision	NOUN
sc-1145	213	31	making	make	VERB
sc-1145	213	32	with	with	ADP
sc-1145	213	33	learning	learning	NOUN
sc-1145	213	34	and	and	CCONJ
sc-1145	213	35	optimization	optimization	NOUN
sc-1145	213	36	intelligences	intelligence	NOUN
sc-1145	213	37	:	:	PUNCT
sc-1145	213	38	application	application	NOUN
sc-1145	213	39	to	to	ADP
sc-1145	213	40	energy	energy	NOUN
sc-1145	213	41	consumption	consumption	NOUN
sc-1145	213	42	eai	eai	NOUN
sc-1145	213	43	endorsed	endorse	VERB
sc-1145	213	44	transactions	transaction	NOUN
sc-1145	213	45	on	on	ADP
sc-1145	213	46	smart	smart	ADJ
sc-1145	213	47	cities	city	NOUN
sc-1145	213	48	06	06	NUM
sc-1145	213	49	2018	2018	NUM
sc-1145	213	50	02	02	NUM
sc-1145	213	51	2020	2020	NUM
sc-1145	213	52	|	|	ADV
sc-1145	213	53	volume	volume	NOUN
sc-1145	213	54	4	4	NUM
sc-1145	213	55	|	|	NOUN
sc-1145	213	56	issue	issue	NOUN
sc-1145	213	57	9	9	NUM
sc-1145	213	58	|	|	NOUN
sc-1145	213	59	e4	e4	PROPN
sc-1145	213	60	figure	figure	NOUN
sc-1145	213	61	2	2	NUM
sc-1145	213	62	.	.	PUNCT
sc-1145	214	1	k	k	PROPN
sc-1145	214	2	-	-	PUNCT
sc-1145	214	3	nn	nn	PROPN
sc-1145	214	4	•	•	PROPN
sc-1145	214	5	k	k	PROPN
sc-1145	214	6	observations	observation	NOUN
sc-1145	214	7	are	be	AUX
sc-1145	214	8	randomly	randomly	ADV
sc-1145	214	9	selected	select	VERB
sc-1145	214	10	(	(	PUNCT
sc-1145	214	11	they	they	PRON
sc-1145	214	12	are	be	AUX
sc-1145	214	13	called	call	VERB
sc-1145	214	14	centroids	centroid	NOUN
sc-1145	214	15	)	)	PUNCT
sc-1145	214	16	;	;	PUNCT
sc-1145	214	17	•	•	X
sc-1145	214	18	each	each	DET
sc-1145	214	19	instance	instance	NOUN
sc-1145	214	20	in	in	ADP
sc-1145	214	21	the	the	DET
sc-1145	214	22	dataset	dataset	NOUN
sc-1145	214	23	is	be	AUX
sc-1145	214	24	affected	affect	VERB
sc-1145	214	25	to	to	ADP
sc-1145	214	26	a	a	DET
sc-1145	214	27	cluster	cluster	NOUN
sc-1145	214	28	represented	represent	VERB
sc-1145	214	29	by	by	ADP
sc-1145	214	30	nearest	near	ADJ
sc-1145	214	31	(	(	PUNCT
sc-1145	214	32	euclidean	euclidean	ADJ
sc-1145	214	33	distance	distance	NOUN
sc-1145	214	34	)	)	PUNCT
sc-1145	214	35	centroid	centroid	NOUN
sc-1145	214	36	;	;	PUNCT
sc-1145	214	37	•	•	ADP
sc-1145	214	38	once	once	SCONJ
sc-1145	214	39	the	the	DET
sc-1145	214	40	clusters	cluster	NOUN
sc-1145	214	41	are	be	AUX
sc-1145	214	42	constituted	constitute	VERB
sc-1145	214	43	,	,	PUNCT
sc-1145	214	44	the	the	DET
sc-1145	214	45	centroid	centroid	NOUN
sc-1145	214	46	is	be	AUX
sc-1145	214	47	updated	update	VERB
sc-1145	214	48	for	for	ADP
sc-1145	214	49	each	each	DET
sc-1145	214	50	cluster	cluster	NOUN
sc-1145	214	51	to	to	ADP
sc-1145	214	52	the	the	DET
sc-1145	214	53	mean	mean	NOUN
sc-1145	214	54	of	of	ADP
sc-1145	214	55	all	all	DET
sc-1145	214	56	cluster	cluster	NOUN
sc-1145	214	57	members	member	NOUN
sc-1145	214	58	.	.	PUNCT
sc-1145	215	1	and	and	CCONJ
sc-1145	215	2	the	the	DET
sc-1145	215	3	cluster	cluster	NOUN
sc-1145	215	4	constitution	constitution	NOUN
sc-1145	215	5	reinitializes	reinitialize	VERB
sc-1145	215	6	with	with	ADP
sc-1145	215	7	new	new	ADJ
sc-1145	215	8	centroids	centroid	NOUN
sc-1145	215	9	.	.	PUNCT
sc-1145	216	1	this	this	DET
sc-1145	216	2	step	step	NOUN
sc-1145	216	3	is	be	AUX
sc-1145	216	4	repeated	repeat	VERB
sc-1145	216	5	until	until	SCONJ
sc-1145	216	6	the	the	DET
sc-1145	216	7	centroids	centroid	NOUN
sc-1145	216	8	become	become	VERB
sc-1145	216	9	themselves	themselves	PRON
sc-1145	216	10	mean	mean	VERB
sc-1145	216	11	of	of	ADP
sc-1145	216	12	clusters	cluster	NOUN
sc-1145	216	13	.	.	PUNCT
sc-1145	217	1	it	it	PRON
sc-1145	217	2	means	mean	VERB
sc-1145	217	3	that	that	SCONJ
sc-1145	217	4	the	the	DET
sc-1145	217	5	centroid	centroid	NOUN
sc-1145	217	6	become	become	VERB
sc-1145	217	7	unchanged	unchanged	ADJ
sc-1145	217	8	;	;	PUNCT
sc-1145	217	9	•	•	SCONJ
sc-1145	217	10	the	the	DET
sc-1145	217	11	prediction	prediction	NOUN
sc-1145	217	12	of	of	ADP
sc-1145	217	13	a	a	DET
sc-1145	217	14	test	test	NOUN
sc-1145	217	15	sample	sample	NOUN
sc-1145	217	16	is	be	AUX
sc-1145	217	17	done	do	VERB
sc-1145	217	18	based	base	VERB
sc-1145	217	19	on	on	ADP
sc-1145	217	20	the	the	DET
sc-1145	217	21	nearest	near	ADJ
sc-1145	217	22	centroid	centroid	NOUN
sc-1145	217	23	calculated	calculate	VERB
sc-1145	217	24	based	base	VERB
sc-1145	217	25	on	on	ADP
sc-1145	217	26	euclidean	euclidean	ADJ
sc-1145	217	27	distance	distance	NOUN
sc-1145	217	28	.	.	PUNCT
sc-1145	218	1	3.7	3.7	NUM
sc-1145	218	2	.	.	PUNCT
sc-1145	219	1	support	support	NOUN
sc-1145	219	2	vector	vector	NOUN
sc-1145	219	3	machine	machine	NOUN
sc-1145	219	4	support	support	NOUN
sc-1145	219	5	vector	vector	NOUN
sc-1145	219	6	machine	machine	NOUN
sc-1145	219	7	(	(	PUNCT
sc-1145	219	8	svm	svm	PROPN
sc-1145	219	9	)	)	PUNCT
sc-1145	220	1	[	[	X
sc-1145	220	2	43	43	NUM
sc-1145	220	3	]	]	PUNCT
sc-1145	220	4	is	be	AUX
sc-1145	220	5	a	a	DET
sc-1145	220	6	discriminative	discriminative	NOUN
sc-1145	220	7	classifier	classifier	NOUN
sc-1145	220	8	defined	define	VERB
sc-1145	220	9	by	by	ADP
sc-1145	220	10	a	a	DET
sc-1145	220	11	separating	separate	VERB
sc-1145	220	12	hyperplane	hyperplane	NOUN
sc-1145	220	13	.	.	PUNCT
sc-1145	221	1	the	the	DET
sc-1145	221	2	algorithm	algorithm	NOUN
sc-1145	221	3	outputs	output	VERB
sc-1145	221	4	an	an	DET
sc-1145	221	5	optimal	optimal	ADJ
sc-1145	221	6	hyperplane	hyperplane	NOUN
sc-1145	221	7	given	give	VERB
sc-1145	221	8	labelled	label	VERB
sc-1145	221	9	training	training	NOUN
sc-1145	221	10	data	datum	NOUN
sc-1145	221	11	(	(	PUNCT
sc-1145	221	12	supervised	supervised	ADJ
sc-1145	221	13	learning	learning	NOUN
sc-1145	221	14	)	)	PUNCT
sc-1145	221	15	to	to	PART
sc-1145	221	16	classify	classify	VERB
sc-1145	221	17	new	new	ADJ
sc-1145	221	18	data	datum	NOUN
sc-1145	221	19	.	.	PUNCT
sc-1145	222	1	in	in	ADP
sc-1145	222	2	two	two	NUM
sc-1145	222	3	dimensional	dimensional	ADJ
sc-1145	222	4	space	space	NOUN
sc-1145	222	5	,	,	PUNCT
sc-1145	222	6	this	this	DET
sc-1145	222	7	hyperplane	hyperplane	NOUN
sc-1145	222	8	is	be	AUX
sc-1145	222	9	a	a	DET
sc-1145	222	10	line	line	NOUN
sc-1145	222	11	dividing	divide	VERB
sc-1145	222	12	a	a	DET
sc-1145	222	13	plane	plane	NOUN
sc-1145	222	14	in	in	ADP
sc-1145	222	15	two	two	NUM
sc-1145	222	16	parts	part	NOUN
sc-1145	222	17	,	,	PUNCT
sc-1145	222	18	where	where	SCONJ
sc-1145	222	19	each	each	DET
sc-1145	222	20	class	class	NOUN
sc-1145	222	21	belongs	belong	VERB
sc-1145	222	22	to	to	ADP
sc-1145	222	23	either	either	DET
sc-1145	222	24	side	side	NOUN
sc-1145	222	25	.	.	PUNCT
sc-1145	223	1	as	as	SCONJ
sc-1145	223	2	shown	show	VERB
sc-1145	223	3	in	in	ADP
sc-1145	223	4	figure	figure	NOUN
sc-1145	223	5	4	4	NUM
sc-1145	223	6	,	,	PUNCT
sc-1145	223	7	points	point	NOUN
sc-1145	223	8	in	in	ADP
sc-1145	223	9	star	star	NOUN
sc-1145	223	10	and	and	CCONJ
sc-1145	223	11	in	in	ADP
sc-1145	223	12	circle	circle	NOUN
sc-1145	223	13	can	can	AUX
sc-1145	223	14	be	be	AUX
sc-1145	223	15	separated	separate	VERB
sc-1145	223	16	with	with	ADP
sc-1145	223	17	an	an	DET
sc-1145	223	18	infinite	infinite	ADJ
sc-1145	223	19	number	number	NOUN
sc-1145	223	20	of	of	ADP
sc-1145	223	21	hyperplanes	hyperplane	NOUN
sc-1145	223	22	.	.	PUNCT
sc-1145	224	1	the	the	DET
sc-1145	224	2	best	good	ADJ
sc-1145	224	3	hyperplane	hyperplane	NOUN
sc-1145	224	4	maximizes	maximize	VERB
sc-1145	224	5	the	the	DET
sc-1145	224	6	margin	margin	NOUN
sc-1145	224	7	.	.	PUNCT
sc-1145	225	1	the	the	DET
sc-1145	225	2	margin	margin	NOUN
sc-1145	225	3	is	be	AUX
sc-1145	225	4	the	the	DET
sc-1145	225	5	distance	distance	NOUN
sc-1145	225	6	between	between	ADP
sc-1145	225	7	the	the	DET
sc-1145	225	8	hyperplane	hyperplane	NOUN
sc-1145	225	9	and	and	CCONJ
sc-1145	225	10	a	a	DET
sc-1145	225	11	few	few	ADJ
sc-1145	225	12	close	close	ADJ
sc-1145	225	13	points	point	NOUN
sc-1145	225	14	.	.	PUNCT
sc-1145	226	1	these	these	DET
sc-1145	226	2	close	close	ADJ
sc-1145	226	3	points	point	NOUN
sc-1145	226	4	are	be	AUX
sc-1145	226	5	the	the	DET
sc-1145	226	6	support	support	NOUN
sc-1145	226	7	vectors	vector	NOUN
sc-1145	226	8	because	because	SCONJ
sc-1145	226	9	they	they	PRON
sc-1145	226	10	control	control	VERB
sc-1145	226	11	the	the	DET
sc-1145	226	12	hyperplane	hyperplane	NOUN
sc-1145	226	13	.	.	PUNCT
sc-1145	227	1	the	the	DET
sc-1145	227	2	support	support	NOUN
sc-1145	227	3	vector	vector	NOUN
sc-1145	227	4	classifier	classifier	NOUN
sc-1145	227	5	fails	fail	VERB
sc-1145	227	6	if	if	SCONJ
sc-1145	227	7	the	the	DET
sc-1145	227	8	data	data	NOUN
sc-1145	227	9	is	be	AUX
sc-1145	227	10	not	not	PART
sc-1145	227	11	linearly	linearly	ADV
sc-1145	227	12	separable	separable	ADJ
sc-1145	227	13	as	as	ADP
sc-1145	227	14	in	in	ADP
sc-1145	227	15	figure	figure	NOUN
sc-1145	227	16	5	5	NUM
sc-1145	227	17	.	.	PUNCT
sc-1145	228	1	in	in	ADP
sc-1145	228	2	this	this	DET
sc-1145	228	3	case	case	NOUN
sc-1145	228	4	,	,	PUNCT
sc-1145	228	5	the	the	DET
sc-1145	228	6	aforesaid	aforesaid	ADJ
sc-1145	228	7	problem	problem	NOUN
sc-1145	228	8	is	be	AUX
sc-1145	228	9	solved	solve	VERB
sc-1145	228	10	through	through	ADP
sc-1145	228	11	transformation	transformation	NOUN
sc-1145	228	12	of	of	ADP
sc-1145	228	13	original	original	ADJ
sc-1145	228	14	feature	feature	NOUN
sc-1145	228	15	space	space	NOUN
sc-1145	228	16	.	.	PUNCT
sc-1145	229	1	it	it	PRON
sc-1145	229	2	requires	require	VERB
sc-1145	229	3	a	a	DET
sc-1145	229	4	nonlinear	nonlinear	ADJ
sc-1145	229	5	separation	separation	NOUN
sc-1145	229	6	to	to	ADP
sc-1145	229	7	a	a	DET
sc-1145	229	8	feature	feature	NOUN
sc-1145	229	9	space	space	NOUN
sc-1145	229	10	that	that	PRON
sc-1145	229	11	can	can	AUX
sc-1145	229	12	be	be	AUX
sc-1145	229	13	separated	separate	VERB
sc-1145	229	14	by	by	ADP
sc-1145	229	15	a	a	DET
sc-1145	229	16	linear	linear	ADJ
sc-1145	229	17	function	function	NOUN
sc-1145	229	18	.	.	PUNCT
sc-1145	230	1	these	these	DET
sc-1145	230	2	approaches	approach	NOUN
sc-1145	230	3	include	include	VERB
sc-1145	230	4	linear	linear	PROPN
sc-1145	230	5	kernel	kernel	PROPN
sc-1145	230	6	,	,	PUNCT
sc-1145	230	7	polynomial	polynomial	ADJ
sc-1145	230	8	kernel	kernel	NOUN
sc-1145	230	9	and	and	CCONJ
sc-1145	230	10	gaussian	gaussian	ADJ
sc-1145	230	11	kernel	kernel	NOUN
sc-1145	230	12	.	.	PUNCT
sc-1145	231	1	3.8	3.8	NUM
sc-1145	231	2	.	.	PUNCT
sc-1145	232	1	regression	regression	NOUN
sc-1145	232	2	regression	regression	NOUN
sc-1145	232	3	refers	refer	VERB
sc-1145	232	4	a	a	DET
sc-1145	232	5	model	model	NOUN
sc-1145	232	6	which	which	PRON
sc-1145	232	7	relates	relate	VERB
sc-1145	232	8	dependent	dependent	ADJ
sc-1145	232	9	attributes	attribute	NOUN
sc-1145	232	10	to	to	ADP
sc-1145	232	11	independent	independent	ADJ
sc-1145	232	12	attributes	attribute	NOUN
sc-1145	232	13	as	as	SCONJ
sc-1145	232	14	shown	show	VERB
sc-1145	232	15	in	in	ADP
sc-1145	232	16	figure	figure	NOUN
sc-1145	232	17	5	5	NUM
sc-1145	232	18	.	.	PUNCT
sc-1145	233	1	it	it	PRON
sc-1145	233	2	is	be	AUX
sc-1145	233	3	used	use	VERB
sc-1145	233	4	to	to	PART
sc-1145	233	5	predict	predict	VERB
sc-1145	233	6	a	a	DET
sc-1145	233	7	variable	variable	NOUN
sc-1145	233	8	in	in	ADP
sc-1145	233	9	terms	term	NOUN
sc-1145	233	10	of	of	ADP
sc-1145	233	11	other	other	ADJ
sc-1145	233	12	variables	variable	NOUN
sc-1145	233	13	.	.	PUNCT
sc-1145	234	1	simple	simple	ADJ
sc-1145	234	2	linear	linear	ADJ
sc-1145	234	3	regression	regression	NOUN
sc-1145	234	4	models	model	NOUN
sc-1145	234	5	relationships	relationship	NOUN
sc-1145	234	6	between	between	ADP
sc-1145	234	7	a	a	DET
sc-1145	234	8	dependent	dependent	ADJ
sc-1145	234	9	variable	variable	NOUN
sc-1145	234	10	and	and	CCONJ
sc-1145	234	11	an	an	DET
sc-1145	234	12	independent	independent	ADJ
sc-1145	234	13	variable	variable	NOUN
sc-1145	234	14	.	.	PUNCT
sc-1145	235	1	multiple	multiple	ADJ
sc-1145	235	2	linear	linear	PROPN
sc-1145	235	3	regression	regression	NOUN
sc-1145	235	4	is	be	AUX
sc-1145	235	5	an	an	DET
sc-1145	235	6	approach	approach	NOUN
sc-1145	235	7	to	to	PART
sc-1145	235	8	model	model	VERB
sc-1145	235	9	the	the	DET
sc-1145	235	10	relationship	relationship	NOUN
sc-1145	235	11	between	between	ADP
sc-1145	235	12	a	a	DET
sc-1145	235	13	dependent	dependent	ADJ
sc-1145	235	14	variable	variable	NOUN
sc-1145	235	15	and	and	CCONJ
sc-1145	235	16	several	several	ADJ
sc-1145	235	17	independent	independent	ADJ
sc-1145	235	18	variables	variable	NOUN
sc-1145	235	19	.	.	PUNCT
sc-1145	236	1	svm	svm	ADJ
sc-1145	236	2	regression	regression	NOUN
sc-1145	236	3	[	[	X
sc-1145	236	4	44	44	NUM
sc-1145	236	5	]	]	PUNCT
sc-1145	236	6	is	be	AUX
sc-1145	236	7	used	use	VERB
sc-1145	236	8	within	within	ADP
sc-1145	236	9	the	the	DET
sc-1145	236	10	scope	scope	NOUN
sc-1145	236	11	of	of	ADP
sc-1145	236	12	this	this	DET
sc-1145	236	13	work	work	NOUN
sc-1145	236	14	.	.	PUNCT
sc-1145	237	1	the	the	DET
sc-1145	237	2	version	version	NOUN
sc-1145	237	3	of	of	ADP
sc-1145	237	4	svm	svm	PROPN
sc-1145	237	5	for	for	ADP
sc-1145	237	6	regression	regression	NOUN
sc-1145	237	7	was	be	AUX
sc-1145	237	8	proposed	propose	VERB
sc-1145	237	9	in	in	ADP
sc-1145	237	10	1996	1996	NUM
sc-1145	237	11	by	by	ADP
sc-1145	237	12	vapnik	vapnik	PROPN
sc-1145	237	13	et	et	PROPN
sc-1145	237	14	al	al	PROPN
sc-1145	237	15	.	.	PROPN
sc-1145	237	16	and	and	CCONJ
sc-1145	237	17	baptised	baptise	VERB
sc-1145	237	18	as	as	ADP
sc-1145	237	19	support	support	NOUN
sc-1145	237	20	vector	vector	NOUN
sc-1145	237	21	regression	regression	NOUN
sc-1145	237	22	(	(	PUNCT
sc-1145	237	23	svr	svr	PROPN
sc-1145	237	24	)	)	PUNCT
sc-1145	238	1	[	[	X
sc-1145	238	2	45	45	NUM
sc-1145	238	3	]	]	PUNCT
sc-1145	238	4	.	.	PUNCT
sc-1145	239	1	svr	svr	PROPN
sc-1145	239	2	is	be	AUX
sc-1145	239	3	illustrated	illustrate	VERB
sc-1145	239	4	in	in	ADP
sc-1145	239	5	figure	figure	NOUN
sc-1145	239	6	6	6	NUM
sc-1145	239	7	.	.	PUNCT
sc-1145	240	1	it	it	PRON
sc-1145	240	2	differs	differ	VERB
sc-1145	240	3	from	from	ADP
sc-1145	240	4	svm	svm	PROPN
sc-1145	240	5	in	in	ADP
sc-1145	240	6	some	some	DET
sc-1145	240	7	aspects	aspect	NOUN
sc-1145	240	8	.	.	PUNCT
sc-1145	241	1	svr	svr	PROPN
sc-1145	241	2	deals	deal	NOUN
sc-1145	241	3	with	with	ADP
sc-1145	241	4	continuous	continuous	ADJ
sc-1145	241	5	classes	class	NOUN
sc-1145	241	6	by	by	ADP
sc-1145	241	7	setting	set	VERB
sc-1145	241	8	a	a	DET
sc-1145	241	9	margin	margin	NOUN
sc-1145	241	10	of	of	ADP
sc-1145	241	11	tolerance	tolerance	NOUN
sc-1145	241	12	6	6	NUM
sc-1145	241	13	naomi	naomi	NOUN
sc-1145	241	14	dassi	dassi	PROPN
sc-1145	241	15	tchomté	tchomté	PROPN
sc-1145	241	16	et	et	PROPN
sc-1145	241	17	al	al	PROPN
sc-1145	241	18	.	.	PUNCT
sc-1145	242	1	eai	eai	PROPN
sc-1145	242	2	endorsed	endorse	VERB
sc-1145	242	3	transactions	transaction	NOUN
sc-1145	242	4	on	on	ADP
sc-1145	242	5	smart	smart	ADJ
sc-1145	242	6	cities	city	NOUN
sc-1145	242	7	06	06	NUM
sc-1145	242	8	2018	2018	NUM
sc-1145	242	9	02	02	NUM
sc-1145	242	10	2020	2020	NUM
sc-1145	242	11	|	|	ADV
sc-1145	242	12	volume	volume	NOUN
sc-1145	242	13	4	4	NUM
sc-1145	242	14	|	|	NOUN
sc-1145	242	15	issue	issue	NOUN
sc-1145	242	16	9	9	NUM
sc-1145	242	17	|	|	NOUN
sc-1145	242	18	e4	e4	PROPN
sc-1145	242	19	figure	figure	NOUN
sc-1145	242	20	3	3	NUM
sc-1145	242	21	.	.	PUNCT
sc-1145	243	1	k	k	X
sc-1145	243	2	-	-	PUNCT
sc-1145	243	3	means	means	NOUN
sc-1145	243	4	figure	figure	NOUN
sc-1145	243	5	4	4	NUM
sc-1145	243	6	.	.	PUNCT
sc-1145	244	1	svm	svm	ADJ
sc-1145	244	2	figure	figure	NOUN
sc-1145	244	3	5	5	NUM
sc-1145	244	4	.	.	PUNCT
sc-1145	245	1	non	non	ADJ
sc-1145	245	2	linear	linear	PROPN
sc-1145	245	3	separation	separation	NOUN
sc-1145	245	4	(	(	PUNCT
sc-1145	245	5	epsilon	epsilon	PROPN
sc-1145	245	6	)	)	PUNCT
sc-1145	245	7	in	in	ADP
sc-1145	245	8	approximation	approximation	NOUN
sc-1145	245	9	to	to	ADP
sc-1145	245	10	the	the	DET
sc-1145	245	11	svm	svm	PROPN
sc-1145	245	12	.	.	PUNCT
sc-1145	246	1	the	the	DET
sc-1145	246	2	main	main	ADJ
sc-1145	246	3	idea	idea	NOUN
sc-1145	246	4	remains	remain	VERB
sc-1145	246	5	the	the	DET
sc-1145	246	6	same	same	ADJ
sc-1145	246	7	:	:	PUNCT
sc-1145	246	8	minimize	minimize	VERB
sc-1145	246	9	and	and	CCONJ
sc-1145	246	10	tolerate	tolerate	VERB
sc-1145	246	11	error	error	NOUN
sc-1145	246	12	,	,	PUNCT
sc-1145	246	13	and	and	CCONJ
sc-1145	246	14	determine	determine	VERB
sc-1145	246	15	the	the	DET
sc-1145	246	16	hyperplane	hyperplane	NOUN
sc-1145	246	17	which	which	PRON
sc-1145	246	18	maximizes	maximize	VERB
sc-1145	246	19	the	the	DET
sc-1145	246	20	margin	margin	NOUN
sc-1145	246	21	.	.	PUNCT
sc-1145	247	1	a	a	DET
sc-1145	247	2	svr	svr	PROPN
sc-1145	247	3	problem	problem	NOUN
sc-1145	247	4	is	be	AUX
sc-1145	247	5	formulated	formulate	VERB
sc-1145	247	6	as	as	ADP
sc-1145	247	7	[	[	X
sc-1145	247	8	46	46	NUM
sc-1145	247	9	]	]	X
sc-1145	247	10	min1	min1	PROPN
sc-1145	247	11	2	2	NUM
sc-1145	247	12	‖	‖	PROPN
sc-1145	247	13	w	w	PROPN
sc-1145	247	14	‖	‖	PROPN
sc-1145	247	15	2	2	NUM
sc-1145	247	16	,	,	PUNCT
sc-1145	247	17	where	where	SCONJ
sc-1145	247	18	‖	‖	PROPN
sc-1145	247	19	w	w	PROPN
sc-1145	247	20	‖2	‖2	NOUN
sc-1145	247	21	is	be	AUX
sc-1145	247	22	the	the	DET
sc-1145	247	23	magnitude	magnitude	NOUN
sc-1145	247	24	of	of	ADP
sc-1145	247	25	the	the	DET
sc-1145	247	26	normal	normal	ADJ
sc-1145	247	27	vector	vector	NOUN
sc-1145	247	28	to	to	ADP
sc-1145	247	29	the	the	DET
sc-1145	247	30	surface	surface	NOUN
sc-1145	247	31	being	be	AUX
sc-1145	247	32	approximated	approximate	VERB
sc-1145	247	33	.	.	PUNCT
sc-1145	248	1	subject	subject	ADJ
sc-1145	248	2	to	to	ADP
sc-1145	248	3	,	,	PUNCT
sc-1145	248	4	yi	yi	PROPN
sc-1145	248	5	−	−	PROPN
sc-1145	248	6	wxi	wxi	NOUN
sc-1145	248	7	−	−	PROPN
sc-1145	248	8	b	b	PROPN
sc-1145	248	9	≤	≤	NUM
sc-1145	248	10	ε	ε	PROPN
sc-1145	248	11	and	and	CCONJ
sc-1145	248	12	wxi	wxi	PROPN
sc-1145	249	1	+	+	CCONJ
sc-1145	249	2	b	b	X
sc-1145	249	3	−	−	PROPN
sc-1145	249	4	yi	yi	NOUN
sc-1145	249	5	≤	≤	PUNCT
sc-1145	249	6	ε	ε	PROPN
sc-1145	249	7	where	where	SCONJ
sc-1145	249	8	xi	xi	PROPN
sc-1145	249	9	is	be	AUX
sc-1145	249	10	the	the	DET
sc-1145	249	11	a	a	DET
sc-1145	249	12	training	training	NOUN
sc-1145	249	13	sample	sample	NOUN
sc-1145	249	14	with	with	ADP
sc-1145	249	15	target	target	NOUN
sc-1145	249	16	value	value	NOUN
sc-1145	249	17	yi	yi	NOUN
sc-1145	249	18	.	.	PUNCT
sc-1145	250	1	7	7	NUM
sc-1145	250	2	a	a	DET
sc-1145	250	3	case	case	NOUN
sc-1145	250	4	based	base	VERB
sc-1145	250	5	reasoning	reasoning	NOUN
sc-1145	250	6	coupling	couple	VERB
sc-1145	250	7	multi	multi	ADJ
sc-1145	250	8	-	-	ADJ
sc-1145	250	9	criteria	criterion	NOUN
sc-1145	250	10	decision	decision	NOUN
sc-1145	250	11	making	make	VERB
sc-1145	250	12	with	with	ADP
sc-1145	250	13	learning	learning	NOUN
sc-1145	250	14	and	and	CCONJ
sc-1145	250	15	optimization	optimization	NOUN
sc-1145	250	16	intelligences	intelligence	NOUN
sc-1145	250	17	:	:	PUNCT
sc-1145	250	18	application	application	NOUN
sc-1145	250	19	to	to	ADP
sc-1145	250	20	energy	energy	NOUN
sc-1145	250	21	consumption	consumption	NOUN
sc-1145	250	22	eai	eai	NOUN
sc-1145	250	23	endorsed	endorse	VERB
sc-1145	250	24	transactions	transaction	NOUN
sc-1145	250	25	on	on	ADP
sc-1145	250	26	smart	smart	ADJ
sc-1145	250	27	cities	city	NOUN
sc-1145	250	28	06	06	NUM
sc-1145	250	29	2018	2018	NUM
sc-1145	250	30	02	02	NUM
sc-1145	250	31	2020	2020	NUM
sc-1145	250	32	|	|	ADV
sc-1145	250	33	volume	volume	NOUN
sc-1145	250	34	4	4	NUM
sc-1145	250	35	|	|	NOUN
sc-1145	250	36	issue	issue	NOUN
sc-1145	250	37	9	9	NUM
sc-1145	250	38	|	|	ADV
sc-1145	250	39	e4	e4	PROPN
sc-1145	250	40	ε	ε	PROPN
sc-1145	250	41	is	be	AUX
sc-1145	250	42	a	a	DET
sc-1145	250	43	free	free	ADJ
sc-1145	250	44	parameter	parameter	NOUN
sc-1145	250	45	which	which	PRON
sc-1145	250	46	is	be	AUX
sc-1145	250	47	used	use	VERB
sc-1145	250	48	as	as	ADP
sc-1145	250	49	a	a	DET
sc-1145	250	50	thresold	thresold	NOUN
sc-1145	250	51	:	:	PUNCT
sc-1145	250	52	true	true	ADJ
sc-1145	250	53	positives	positive	NOUN
sc-1145	250	54	are	be	AUX
sc-1145	250	55	predicted	predict	VERB
sc-1145	250	56	within	within	ADP
sc-1145	250	57	a	a	DET
sc-1145	250	58	ε	ε	PROPN
sc-1145	250	59	range	range	NOUN
sc-1145	250	60	.	.	PUNCT
sc-1145	251	1	figure	figure	NOUN
sc-1145	251	2	6	6	NUM
sc-1145	251	3	.	.	PUNCT
sc-1145	252	1	linear	linear	PROPN
sc-1145	252	2	svr	svr	PROPN
sc-1145	252	3	4	4	NUM
sc-1145	252	4	.	.	PUNCT
sc-1145	252	5	model	model	PROPN
sc-1145	252	6	development	development	NOUN
sc-1145	252	7	the	the	DET
sc-1145	252	8	proposed	propose	VERB
sc-1145	252	9	approach	approach	NOUN
sc-1145	252	10	,	,	PUNCT
sc-1145	252	11	namely	namely	ADV
sc-1145	252	12	case	case	NOUN
sc-1145	252	13	based	base	VERB
sc-1145	252	14	reasoning	reasoning	NOUN
sc-1145	252	15	architecture	architecture	NOUN
sc-1145	252	16	based	base	VERB
sc-1145	252	17	on	on	ADP
sc-1145	252	18	machine	machine	NOUN
sc-1145	252	19	learning	learning	NOUN
sc-1145	252	20	(	(	PUNCT
sc-1145	252	21	cable	cable	NOUN
sc-1145	252	22	)	)	PUNCT
sc-1145	252	23	is	be	AUX
sc-1145	252	24	structured	structure	VERB
sc-1145	252	25	in	in	ADP
sc-1145	252	26	three	three	NUM
sc-1145	252	27	layers	layer	NOUN
sc-1145	252	28	as	as	SCONJ
sc-1145	252	29	shown	show	VERB
sc-1145	252	30	in	in	ADP
sc-1145	252	31	figure	figure	NOUN
sc-1145	252	32	7	7	NUM
sc-1145	252	33	.	.	PUNCT
sc-1145	253	1	the	the	DET
sc-1145	253	2	retrieve	retrieve	NOUN
sc-1145	253	3	layer	layer	NOUN
sc-1145	253	4	relies	rely	VERB
sc-1145	253	5	on	on	ADP
sc-1145	253	6	an	an	DET
sc-1145	253	7	adapted	adapted	ADJ
sc-1145	253	8	cosine	cosine	NOUN
sc-1145	253	9	similarity	similarity	NOUN
sc-1145	253	10	combined	combine	VERB
sc-1145	253	11	to	to	ADP
sc-1145	253	12	ahp	ahp	PROPN
sc-1145	253	13	,	,	PUNCT
sc-1145	253	14	k	k	PROPN
sc-1145	253	15	-	-	PUNCT
sc-1145	253	16	nn	nn	PROPN
sc-1145	253	17	and	and	CCONJ
sc-1145	253	18	k	k	NOUN
sc-1145	253	19	-	-	PUNCT
sc-1145	253	20	means	means	NOUN
sc-1145	253	21	to	to	PART
sc-1145	253	22	determine	determine	VERB
sc-1145	253	23	the	the	DET
sc-1145	253	24	most	most	ADV
sc-1145	253	25	similar	similar	ADJ
sc-1145	253	26	cases	case	NOUN
sc-1145	253	27	to	to	ADP
sc-1145	253	28	the	the	DET
sc-1145	253	29	query	query	NOUN
sc-1145	253	30	case	case	NOUN
sc-1145	253	31	.	.	PUNCT
sc-1145	254	1	the	the	DET
sc-1145	254	2	reuse	reuse	NOUN
sc-1145	254	3	layer	layer	NOUN
sc-1145	254	4	formulates	formulate	VERB
sc-1145	254	5	the	the	DET
sc-1145	254	6	prediction	prediction	NOUN
sc-1145	254	7	problem	problem	NOUN
sc-1145	254	8	as	as	ADP
sc-1145	254	9	a	a	DET
sc-1145	254	10	linear	linear	ADJ
sc-1145	254	11	programming	programming	NOUN
sc-1145	254	12	problem	problem	NOUN
sc-1145	254	13	on	on	ADP
sc-1145	254	14	the	the	DET
sc-1145	254	15	similar	similar	ADJ
sc-1145	254	16	cases	case	NOUN
sc-1145	254	17	and	and	CCONJ
sc-1145	254	18	exploits	exploit	VERB
sc-1145	254	19	an	an	DET
sc-1145	254	20	optimization	optimization	NOUN
sc-1145	254	21	technique	technique	NOUN
sc-1145	254	22	to	to	PART
sc-1145	254	23	obtain	obtain	VERB
sc-1145	254	24	the	the	DET
sc-1145	254	25	solution	solution	NOUN
sc-1145	254	26	of	of	ADP
sc-1145	254	27	the	the	DET
sc-1145	254	28	query	query	NOUN
sc-1145	254	29	case	case	NOUN
sc-1145	254	30	.	.	PUNCT
sc-1145	255	1	the	the	DET
sc-1145	255	2	revise	revise	NOUN
sc-1145	255	3	layer	layer	NOUN
sc-1145	255	4	improves	improve	VERB
sc-1145	255	5	the	the	DET
sc-1145	255	6	detection	detection	NOUN
sc-1145	255	7	efficiency	efficiency	NOUN
sc-1145	255	8	based	base	VERB
sc-1145	255	9	on	on	ADP
sc-1145	255	10	a	a	DET
sc-1145	255	11	certain	certain	ADJ
sc-1145	255	12	threshold	threshold	NOUN
sc-1145	255	13	,	,	PUNCT
sc-1145	255	14	by	by	ADP
sc-1145	255	15	using	use	VERB
sc-1145	255	16	svr	svr	PROPN
sc-1145	255	17	.	.	PUNCT
sc-1145	256	1	methodologies	methodology	NOUN
sc-1145	256	2	for	for	ADP
sc-1145	256	3	predicting	predict	VERB
sc-1145	256	4	a	a	DET
sc-1145	256	5	case	case	NOUN
sc-1145	256	6	solution	solution	NOUN
sc-1145	256	7	are	be	AUX
sc-1145	256	8	presented	present	VERB
sc-1145	256	9	in	in	ADP
sc-1145	256	10	the	the	DET
sc-1145	256	11	following	follow	VERB
sc-1145	256	12	sections	section	NOUN
sc-1145	256	13	.	.	PUNCT
sc-1145	257	1	4.1	4.1	NUM
sc-1145	257	2	.	.	PUNCT
sc-1145	257	3	retrieve	retrieve	VERB
sc-1145	257	4	the	the	DET
sc-1145	257	5	aim	aim	NOUN
sc-1145	257	6	of	of	ADP
sc-1145	257	7	retrieve	retrieve	NOUN
sc-1145	257	8	is	be	AUX
sc-1145	257	9	to	to	PART
sc-1145	257	10	provide	provide	VERB
sc-1145	257	11	the	the	DET
sc-1145	257	12	most	most	ADV
sc-1145	257	13	similar	similar	ADJ
sc-1145	257	14	cases	case	NOUN
sc-1145	257	15	to	to	ADP
sc-1145	257	16	a	a	DET
sc-1145	257	17	new	new	ADJ
sc-1145	257	18	incoming	incoming	ADJ
sc-1145	257	19	case	case	NOUN
sc-1145	257	20	.	.	PUNCT
sc-1145	258	1	there	there	PRON
sc-1145	258	2	are	be	VERB
sc-1145	258	3	some	some	DET
sc-1145	258	4	components	component	NOUN
sc-1145	258	5	to	to	PART
sc-1145	258	6	describe	describe	VERB
sc-1145	258	7	to	to	PART
sc-1145	258	8	achieve	achieve	VERB
sc-1145	258	9	this	this	DET
sc-1145	258	10	mission	mission	NOUN
sc-1145	258	11	.	.	PUNCT
sc-1145	259	1	case	case	NOUN
sc-1145	259	2	base	base	NOUN
sc-1145	259	3	.	.	PUNCT
sc-1145	260	1	the	the	DET
sc-1145	260	2	case	case	NOUN
sc-1145	260	3	base	base	NOUN
sc-1145	260	4	is	be	AUX
sc-1145	260	5	represented	represent	VERB
sc-1145	260	6	as	as	ADP
sc-1145	260	7	relational	relational	ADJ
sc-1145	260	8	matrix	matrix	NOUN
sc-1145	260	9	depicted	depict	VERB
sc-1145	260	10	in	in	ADP
sc-1145	260	11	table	table	NOUN
sc-1145	260	12	2	2	NUM
sc-1145	260	13	where	where	SCONJ
sc-1145	260	14	attribute	attribute	NOUN
sc-1145	260	15	i	i	PRON
sc-1145	260	16	refers	refer	VERB
sc-1145	260	17	to	to	ADP
sc-1145	260	18	characteristics	characteristic	NOUN
sc-1145	260	19	of	of	ADP
sc-1145	260	20	the	the	DET
sc-1145	260	21	case	case	NOUN
sc-1145	260	22	and	and	CCONJ
sc-1145	260	23	solution	solution	NOUN
sc-1145	260	24	i	i	PRON
sc-1145	260	25	is	be	AUX
sc-1145	260	26	the	the	DET
sc-1145	260	27	solution	solution	NOUN
sc-1145	260	28	value	value	NOUN
sc-1145	260	29	obtained	obtain	VERB
sc-1145	260	30	for	for	ADP
sc-1145	260	31	the	the	DET
sc-1145	260	32	problem	problem	NOUN
sc-1145	260	33	case	case	NOUN
sc-1145	260	34	i.	i.	PROPN
sc-1145	260	35	v	v	PROPN
sc-1145	260	36	alueij	alueij	PROPN
sc-1145	260	37	is	be	AUX
sc-1145	260	38	the	the	DET
sc-1145	260	39	value	value	NOUN
sc-1145	260	40	of	of	ADP
sc-1145	260	41	the	the	DET
sc-1145	260	42	attribute	attribute	NOUN
sc-1145	260	43	,	,	PUNCT
sc-1145	260	44	which	which	PRON
sc-1145	260	45	could	could	AUX
sc-1145	260	46	be	be	AUX
sc-1145	260	47	of	of	ADP
sc-1145	260	48	type	type	NOUN
sc-1145	260	49	continuous	continuous	ADJ
sc-1145	260	50	,	,	PUNCT
sc-1145	260	51	discrete	discrete	ADJ
sc-1145	260	52	,	,	PUNCT
sc-1145	260	53	ordinal	ordinal	ADJ
sc-1145	260	54	or	or	CCONJ
sc-1145	260	55	nominal	nominal	ADJ
sc-1145	260	56	.	.	PUNCT
sc-1145	261	1	the	the	DET
sc-1145	261	2	solution	solution	NOUN
sc-1145	261	3	can	can	AUX
sc-1145	261	4	be	be	AUX
sc-1145	261	5	discrete	discrete	ADJ
sc-1145	261	6	or	or	CCONJ
sc-1145	261	7	continuous	continuous	ADJ
sc-1145	261	8	.	.	PUNCT
sc-1145	262	1	generation	generation	NOUN
sc-1145	262	2	of	of	ADP
sc-1145	262	3	attribute	attribute	NOUN
sc-1145	262	4	weights	weight	NOUN
sc-1145	262	5	.	.	PUNCT
sc-1145	263	1	considering	consider	VERB
sc-1145	263	2	the	the	DET
sc-1145	263	3	importance	importance	NOUN
sc-1145	263	4	of	of	ADP
sc-1145	263	5	an	an	DET
sc-1145	263	6	attribute	attribute	NOUN
sc-1145	263	7	is	be	AUX
sc-1145	263	8	relevant	relevant	ADJ
sc-1145	263	9	to	to	PART
sc-1145	263	10	improve	improve	VERB
sc-1145	263	11	performance	performance	NOUN
sc-1145	263	12	of	of	ADP
sc-1145	263	13	cbr	cbr	NOUN
sc-1145	263	14	systems	system	NOUN
sc-1145	263	15	[	[	X
sc-1145	263	16	47–49	47–49	NUM
sc-1145	263	17	]	]	PUNCT
sc-1145	263	18	.	.	PUNCT
sc-1145	264	1	literature	literature	NOUN
sc-1145	264	2	exploits	exploit	VERB
sc-1145	264	3	[	[	X
sc-1145	264	4	47	47	NUM
sc-1145	264	5	]	]	PUNCT
sc-1145	264	6	the	the	DET
sc-1145	264	7	whole	whole	ADJ
sc-1145	264	8	costly	costly	ADJ
sc-1145	264	9	process	process	NOUN
sc-1145	264	10	of	of	ADP
sc-1145	264	11	ahp	ahp	PROPN
sc-1145	264	12	to	to	PART
sc-1145	264	13	determine	determine	VERB
sc-1145	264	14	the	the	DET
sc-1145	264	15	weights	weight	NOUN
sc-1145	264	16	of	of	ADP
sc-1145	264	17	attributes	attribute	NOUN
sc-1145	264	18	.	.	PUNCT
sc-1145	265	1	on	on	ADP
sc-1145	265	2	the	the	DET
sc-1145	265	3	contrary	contrary	NOUN
sc-1145	265	4	,	,	PUNCT
sc-1145	265	5	some	some	DET
sc-1145	265	6	steps	step	NOUN
sc-1145	265	7	are	be	AUX
sc-1145	265	8	considered	consider	VERB
sc-1145	265	9	to	to	PART
sc-1145	265	10	obtain	obtain	VERB
sc-1145	265	11	the	the	DET
sc-1145	265	12	normalized	normalize	VERB
sc-1145	265	13	vector	vector	NOUN
sc-1145	265	14	of	of	ADP
sc-1145	265	15	weights	weight	NOUN
sc-1145	265	16	(	(	PUNCT
sc-1145	265	17	see	see	VERB
sc-1145	265	18	section	section	NOUN
sc-1145	265	19	4.1	4.1	NUM
sc-1145	265	20	.	.	PUNCT
sc-1145	266	1	each	each	DET
sc-1145	266	2	attribute	attribute	NOUN
sc-1145	266	3	refers	refer	VERB
sc-1145	266	4	to	to	ADP
sc-1145	266	5	criteria	criterion	NOUN
sc-1145	266	6	.	.	PUNCT
sc-1145	267	1	the	the	DET
sc-1145	267	2	pairwise	pairwise	NOUN
sc-1145	267	3	comparisons	comparison	NOUN
sc-1145	267	4	are	be	AUX
sc-1145	267	5	determined	determine	VERB
sc-1145	267	6	through	through	ADP
sc-1145	267	7	interviews	interview	NOUN
sc-1145	267	8	with	with	ADP
sc-1145	267	9	domain	domain	NOUN
sc-1145	267	10	experts	expert	NOUN
sc-1145	267	11	under	under	ADP
sc-1145	267	12	the	the	DET
sc-1145	267	13	saaty	saaty	NOUN
sc-1145	267	14	’s	’s	PART
sc-1145	267	15	scale	scale	NOUN
sc-1145	267	16	to	to	PART
sc-1145	267	17	compare	compare	VERB
sc-1145	267	18	attributes	attribute	NOUN
sc-1145	267	19	with	with	ADP
sc-1145	267	20	each	each	DET
sc-1145	267	21	others	other	NOUN
sc-1145	267	22	.	.	PUNCT
sc-1145	268	1	consistency	consistency	NOUN
sc-1145	268	2	(	(	PUNCT
sc-1145	268	3	lower	low	ADJ
sc-1145	268	4	to	to	ADP
sc-1145	268	5	0.1	0.1	NUM
sc-1145	268	6	)	)	PUNCT
sc-1145	268	7	is	be	AUX
sc-1145	268	8	checked	check	VERB
sc-1145	268	9	according	accord	VERB
sc-1145	268	10	to	to	ADP
sc-1145	268	11	responses	response	NOUN
sc-1145	268	12	[	[	X
sc-1145	268	13	30	30	NUM
sc-1145	268	14	]	]	PUNCT
sc-1145	268	15	.	.	PUNCT
sc-1145	269	1	the	the	DET
sc-1145	269	2	details	detail	NOUN
sc-1145	269	3	on	on	ADP
sc-1145	269	4	similar	similar	ADJ
sc-1145	269	5	case	case	NOUN
sc-1145	269	6	retrieval	retrieval	NOUN
sc-1145	269	7	are	be	AUX
sc-1145	269	8	described	describe	VERB
sc-1145	269	9	in	in	ADP
sc-1145	269	10	the	the	DET
sc-1145	269	11	following	follow	VERB
sc-1145	269	12	section	section	NOUN
sc-1145	269	13	.	.	PUNCT
sc-1145	270	1	determination	determination	NOUN
sc-1145	270	2	of	of	ADP
sc-1145	270	3	similar	similar	ADJ
sc-1145	270	4	cases	case	NOUN
sc-1145	270	5	.	.	PUNCT
sc-1145	271	1	this	this	DET
sc-1145	271	2	step	step	NOUN
sc-1145	271	3	takes	take	VERB
sc-1145	271	4	as	as	ADP
sc-1145	271	5	input	input	NOUN
sc-1145	271	6	a	a	DET
sc-1145	271	7	query	query	NOUN
sc-1145	271	8	case	case	NOUN
sc-1145	271	9	(	(	PUNCT
sc-1145	271	10	cq	cq	NOUN
sc-1145	271	11	)	)	PUNCT
sc-1145	271	12	and	and	CCONJ
sc-1145	271	13	finds	find	VERB
sc-1145	271	14	similar	similar	ADJ
sc-1145	271	15	cases	case	NOUN
sc-1145	271	16	based	base	VERB
sc-1145	271	17	on	on	ADP
sc-1145	271	18	distance	distance	NOUN
sc-1145	271	19	measures	measure	NOUN
sc-1145	271	20	.	.	PUNCT
sc-1145	272	1	at	at	ADP
sc-1145	272	2	this	this	DET
sc-1145	272	3	stage	stage	NOUN
sc-1145	272	4	,	,	PUNCT
sc-1145	272	5	the	the	DET
sc-1145	272	6	query	query	NOUN
sc-1145	272	7	case	case	NOUN
sc-1145	272	8	only	only	ADV
sc-1145	272	9	includes	include	VERB
sc-1145	272	10	of	of	ADP
sc-1145	272	11	attributes	attribute	NOUN
sc-1145	272	12	associated	associate	VERB
sc-1145	272	13	to	to	ADP
sc-1145	272	14	weights	weight	NOUN
sc-1145	272	15	with	with	ADP
sc-1145	272	16	a	a	DET
sc-1145	272	17	solution	solution	NOUN
sc-1145	272	18	to	to	PART
sc-1145	272	19	be	be	AUX
sc-1145	272	20	determined	determine	VERB
sc-1145	272	21	.	.	PUNCT
sc-1145	273	1	three	three	NUM
sc-1145	273	2	steps	step	NOUN
sc-1145	273	3	are	be	AUX
sc-1145	273	4	performed	perform	VERB
sc-1145	273	5	to	to	PART
sc-1145	273	6	get	get	VERB
sc-1145	273	7	similar	similar	ADJ
sc-1145	273	8	cases	case	NOUN
sc-1145	273	9	.	.	PUNCT
sc-1145	274	1	first	first	ADV
sc-1145	274	2	,	,	PUNCT
sc-1145	274	3	the	the	DET
sc-1145	274	4	similarity	similarity	NOUN
sc-1145	274	5	measure	measure	NOUN
sc-1145	274	6	is	be	AUX
sc-1145	274	7	computed	compute	VERB
sc-1145	274	8	between	between	ADP
sc-1145	274	9	the	the	DET
sc-1145	274	10	query	query	NOUN
sc-1145	274	11	case	case	NOUN
sc-1145	274	12	and	and	CCONJ
sc-1145	274	13	every	every	DET
sc-1145	274	14	case	case	NOUN
sc-1145	274	15	in	in	ADP
sc-1145	274	16	the	the	DET
sc-1145	274	17	case	case	NOUN
sc-1145	274	18	base	base	NOUN
sc-1145	274	19	.	.	PUNCT
sc-1145	275	1	this	this	DET
sc-1145	275	2	operation	operation	NOUN
sc-1145	275	3	is	be	AUX
sc-1145	275	4	realized	realize	VERB
sc-1145	275	5	with	with	ADP
sc-1145	275	6	the	the	DET
sc-1145	275	7	adapted	adapt	VERB
sc-1145	275	8	cosine	cosine	NOUN
sc-1145	275	9	,	,	PUNCT
sc-1145	275	10	which	which	PRON
sc-1145	275	11	considers	consider	VERB
sc-1145	275	12	the	the	DET
sc-1145	275	13	importance	importance	NOUN
sc-1145	275	14	of	of	ADP
sc-1145	275	15	attributes	attribute	NOUN
sc-1145	275	16	as	as	SCONJ
sc-1145	275	17	proposed	propose	VERB
sc-1145	275	18	in	in	ADP
sc-1145	275	19	equation	equation	NOUN
sc-1145	275	20	(	(	PUNCT
sc-1145	275	21	8)	8)	NUM
sc-1145	275	22	.	.	PUNCT
sc-1145	276	1	cosinemod(a	cosinemod(a	PROPN
sc-1145	276	2	,	,	PUNCT
sc-1145	276	3	b	b	NOUN
sc-1145	276	4	)	)	PUNCT
sc-1145	276	5	=	=	SYM
sc-1145	277	1	∑n	∑n	PROPN
sc-1145	277	2	i=1wiaibi√∑n	i=1wiaibi√∑n	ADJ
sc-1145	277	3	i=1wia	i=1wia	ADV
sc-1145	277	4	2	2	NUM
sc-1145	277	5	i	i	PRON
sc-1145	277	6	√∑n	√∑n	VERB
sc-1145	277	7	i=1wib	i=1wib	PROPN
sc-1145	277	8	2	2	NUM
sc-1145	277	9	i	i	NOUN
sc-1145	277	10	(	(	PUNCT
sc-1145	277	11	8)	8)	NUM
sc-1145	277	12	therefore	therefore	ADV
sc-1145	277	13	,	,	PUNCT
sc-1145	277	14	it	it	PRON
sc-1145	277	15	takes	take	VERB
sc-1145	277	16	each	each	DET
sc-1145	277	17	case	case	NOUN
sc-1145	277	18	with	with	ADP
sc-1145	277	19	its	its	PRON
sc-1145	277	20	pairs	pair	NOUN
sc-1145	277	21	(	(	PUNCT
sc-1145	277	22	attribute	attribute	NOUN
sc-1145	277	23	,	,	PUNCT
sc-1145	277	24	weight	weight	NOUN
sc-1145	277	25	)	)	PUNCT
sc-1145	277	26	as	as	SCONJ
sc-1145	277	27	determined	determine	VERB
sc-1145	277	28	by	by	ADP
sc-1145	277	29	ahp	ahp	PROPN
sc-1145	277	30	.	.	PUNCT
sc-1145	278	1	there	there	PRON
sc-1145	278	2	are	be	VERB
sc-1145	278	3	therefore	therefore	ADV
sc-1145	278	4	as	as	ADV
sc-1145	278	5	much	much	ADJ
sc-1145	278	6	similarity	similarity	NOUN
sc-1145	278	7	values	value	NOUN
sc-1145	278	8	as	as	ADP
sc-1145	278	9	the	the	DET
sc-1145	278	10	number	number	NOUN
sc-1145	278	11	of	of	ADP
sc-1145	278	12	cases	case	NOUN
sc-1145	278	13	.	.	PUNCT
sc-1145	279	1	for	for	ADP
sc-1145	279	2	instance	instance	NOUN
sc-1145	279	3	,	,	PUNCT
sc-1145	279	4	if	if	SCONJ
sc-1145	279	5	the	the	DET
sc-1145	279	6	case	case	NOUN
sc-1145	279	7	base	base	NOUN
sc-1145	279	8	has	have	VERB
sc-1145	279	9	hundred	hundred	NUM
sc-1145	279	10	cases	case	NOUN
sc-1145	279	11	with	with	ADP
sc-1145	279	12	solutions	solution	NOUN
sc-1145	279	13	,	,	PUNCT
sc-1145	279	14	then	then	ADV
sc-1145	279	15	there	there	PRON
sc-1145	279	16	will	will	AUX
sc-1145	279	17	be	be	AUX
sc-1145	279	18	hundred	hundred	NUM
sc-1145	279	19	similarity	similarity	NOUN
sc-1145	279	20	measures	measure	NOUN
sc-1145	279	21	.	.	PUNCT
sc-1145	280	1	each	each	DET
sc-1145	280	2	case	case	NOUN
sc-1145	280	3	is	be	AUX
sc-1145	280	4	possibly	possibly	ADV
sc-1145	280	5	similar	similar	ADJ
sc-1145	280	6	to	to	ADP
sc-1145	280	7	the	the	DET
sc-1145	280	8	query	query	NOUN
sc-1145	280	9	case	case	NOUN
sc-1145	280	10	.	.	PUNCT
sc-1145	281	1	at	at	ADP
sc-1145	281	2	this	this	DET
sc-1145	281	3	point	point	NOUN
sc-1145	281	4	,	,	PUNCT
sc-1145	281	5	it	it	PRON
sc-1145	281	6	is	be	AUX
sc-1145	281	7	important	important	ADJ
sc-1145	281	8	to	to	PART
sc-1145	281	9	define	define	VERB
sc-1145	281	10	the	the	DET
sc-1145	281	11	criteria	criterion	NOUN
sc-1145	281	12	to	to	PART
sc-1145	281	13	select	select	VERB
sc-1145	281	14	cases	case	NOUN
sc-1145	281	15	considered	consider	VERB
sc-1145	281	16	as	as	ADP
sc-1145	281	17	similar	similar	ADJ
sc-1145	281	18	.	.	PUNCT
sc-1145	282	1	we	we	PRON
sc-1145	282	2	adopt	adopt	VERB
sc-1145	282	3	to	to	PART
sc-1145	282	4	realize	realize	VERB
sc-1145	282	5	it	it	PRON
sc-1145	282	6	by	by	ADP
sc-1145	282	7	experimentally	experimentally	ADV
sc-1145	282	8	finding	find	VERB
sc-1145	282	9	a	a	DET
sc-1145	282	10	value	value	NOUN
sc-1145	282	11	(	(	PUNCT
sc-1145	282	12	α	α	NOUN
sc-1145	282	13	)	)	PUNCT
sc-1145	282	14	varying	vary	VERB
sc-1145	282	15	in	in	ADP
sc-1145	282	16	the	the	DET
sc-1145	282	17	range	range	NOUN
sc-1145	282	18	[	[	X
sc-1145	282	19	0.1	0.1	NUM
sc-1145	282	20	,	,	PUNCT
sc-1145	282	21	0.9	0.9	NUM
sc-1145	282	22	]	]	PUNCT
sc-1145	282	23	,	,	PUNCT
sc-1145	282	24	which	which	PRON
sc-1145	282	25	provides	provide	VERB
sc-1145	282	26	the	the	DET
sc-1145	282	27	higher	high	ADJ
sc-1145	282	28	number	number	NOUN
sc-1145	282	29	of	of	ADP
sc-1145	282	30	cases	case	NOUN
sc-1145	282	31	closer	close	ADJ
sc-1145	282	32	to	to	ADP
sc-1145	282	33	cq	cq	PROPN
sc-1145	282	34	.	.	PUNCT
sc-1145	283	1	the	the	DET
sc-1145	283	2	logic	logic	NOUN
sc-1145	283	3	exploited	exploit	VERB
sc-1145	283	4	here	here	ADV
sc-1145	283	5	is	be	AUX
sc-1145	283	6	that	that	SCONJ
sc-1145	283	7	more	more	ADJ
sc-1145	283	8	experiences	experience	NOUN
sc-1145	283	9	,	,	PUNCT
sc-1145	283	10	a	a	DET
sc-1145	283	11	person	person	NOUN
sc-1145	283	12	has	have	VERB
sc-1145	283	13	,	,	PUNCT
sc-1145	283	14	more	more	ADJ
sc-1145	283	15	that	that	DET
sc-1145	283	16	person	person	NOUN
sc-1145	283	17	can	can	AUX
sc-1145	283	18	make	make	VERB
sc-1145	283	19	a	a	DET
sc-1145	283	20	decision	decision	NOUN
sc-1145	283	21	on	on	ADP
sc-1145	283	22	a	a	DET
sc-1145	283	23	future	future	ADJ
sc-1145	283	24	similar	similar	ADJ
sc-1145	283	25	problem	problem	NOUN
sc-1145	283	26	.	.	PUNCT
sc-1145	284	1	it	it	PRON
sc-1145	284	2	is	be	AUX
sc-1145	284	3	justified	justify	VERB
sc-1145	284	4	by	by	ADP
sc-1145	284	5	the	the	DET
sc-1145	284	6	fact	fact	NOUN
sc-1145	284	7	that	that	SCONJ
sc-1145	284	8	the	the	DET
sc-1145	284	9	person	person	NOUN
sc-1145	284	10	has	have	AUX
sc-1145	284	11	enriched	enrich	VERB
sc-1145	284	12	with	with	ADP
sc-1145	284	13	enough	enough	ADJ
sc-1145	284	14	knowledge	knowledge	NOUN
sc-1145	284	15	.	.	PUNCT
sc-1145	285	1	in	in	ADP
sc-1145	285	2	this	this	DET
sc-1145	285	3	regards	regard	NOUN
sc-1145	285	4	,	,	PUNCT
sc-1145	285	5	more	more	ADJ
sc-1145	285	6	there	there	PRON
sc-1145	285	7	are	be	VERB
sc-1145	285	8	cases	case	NOUN
sc-1145	285	9	,	,	PUNCT
sc-1145	285	10	much	much	ADV
sc-1145	285	11	precise	precise	ADJ
sc-1145	285	12	is	be	AUX
sc-1145	285	13	the	the	DET
sc-1145	285	14	determination	determination	NOUN
sc-1145	285	15	of	of	ADP
sc-1145	285	16	the	the	DET
sc-1145	285	17	query	query	NOUN
sc-1145	285	18	case	case	NOUN
sc-1145	285	19	solution	solution	NOUN
sc-1145	285	20	.	.	PUNCT
sc-1145	286	1	cases	case	NOUN
sc-1145	286	2	with	with	ADP
sc-1145	286	3	a	a	DET
sc-1145	286	4	similarity	similarity	NOUN
sc-1145	286	5	greater	great	ADJ
sc-1145	286	6	than	than	ADP
sc-1145	286	7	(	(	PUNCT
sc-1145	286	8	α	α	X
sc-1145	286	9	)	)	PUNCT
sc-1145	286	10	are	be	AUX
sc-1145	286	11	consequently	consequently	ADV
sc-1145	286	12	taken	take	VERB
sc-1145	286	13	.	.	PUNCT
sc-1145	287	1	determination	determination	NOUN
sc-1145	287	2	of	of	ADP
sc-1145	287	3	the	the	DET
sc-1145	287	4	most	most	ADV
sc-1145	287	5	similar	similar	ADJ
sc-1145	287	6	cases	case	NOUN
sc-1145	287	7	.	.	PUNCT
sc-1145	288	1	the	the	DET
sc-1145	288	2	first	first	ADJ
sc-1145	288	3	activity	activity	NOUN
sc-1145	288	4	here	here	ADV
sc-1145	288	5	is	be	AUX
sc-1145	288	6	to	to	PART
sc-1145	288	7	transfer	transfer	VERB
sc-1145	288	8	the	the	DET
sc-1145	288	9	similar	similar	ADJ
sc-1145	288	10	cases	case	NOUN
sc-1145	288	11	(	(	PUNCT
sc-1145	288	12	without	without	ADP
sc-1145	288	13	their	their	PRON
sc-1145	288	14	solutions	solution	NOUN
sc-1145	288	15	)	)	PUNCT
sc-1145	288	16	to	to	ADP
sc-1145	288	17	k	k	X
sc-1145	288	18	-	-	PUNCT
sc-1145	288	19	means	means	NOUN
sc-1145	288	20	to	to	PART
sc-1145	288	21	create	create	VERB
sc-1145	288	22	cluster	cluster	NOUN
sc-1145	288	23	of	of	ADP
sc-1145	288	24	cases	case	NOUN
sc-1145	288	25	that	that	PRON
sc-1145	288	26	are	be	AUX
sc-1145	288	27	similar	similar	ADJ
sc-1145	288	28	to	to	ADP
sc-1145	288	29	each	each	DET
sc-1145	288	30	other	other	ADJ
sc-1145	288	31	.	.	PUNCT
sc-1145	289	1	the	the	DET
sc-1145	289	2	intention	intention	NOUN
sc-1145	289	3	is	be	AUX
sc-1145	289	4	to	to	PART
sc-1145	289	5	put	put	VERB
sc-1145	289	6	together	together	ADP
sc-1145	289	7	cases	case	NOUN
sc-1145	289	8	with	with	ADP
sc-1145	289	9	similar	similar	ADJ
sc-1145	289	10	characteristics	characteristic	NOUN
sc-1145	289	11	trend	trend	NOUN
sc-1145	289	12	.	.	PUNCT
sc-1145	290	1	the	the	DET
sc-1145	290	2	algorithm	algorithm	NOUN
sc-1145	290	3	k	k	PROPN
sc-1145	290	4	-	-	PUNCT
sc-1145	290	5	nn	nn	PROPN
sc-1145	290	6	is	be	AUX
sc-1145	290	7	then	then	ADV
sc-1145	290	8	taken	take	VERB
sc-1145	290	9	into	into	ADP
sc-1145	290	10	account	account	NOUN
sc-1145	290	11	to	to	PART
sc-1145	290	12	match	match	VERB
sc-1145	290	13	the	the	DET
sc-1145	290	14	query	query	NOUN
sc-1145	290	15	case	case	NOUN
sc-1145	290	16	into	into	ADP
sc-1145	290	17	the	the	DET
sc-1145	290	18	closer	close	ADJ
sc-1145	290	19	cluster	cluster	NOUN
sc-1145	290	20	.	.	PUNCT
sc-1145	291	1	this	this	DET
sc-1145	291	2	cluster	cluster	NOUN
sc-1145	291	3	is	be	AUX
sc-1145	291	4	determined	determine	VERB
sc-1145	291	5	based	base	VERB
sc-1145	291	6	on	on	ADP
sc-1145	291	7	calculation	calculation	NOUN
sc-1145	291	8	of	of	ADP
sc-1145	291	9	euclidean	euclidean	ADJ
sc-1145	291	10	distance	distance	NOUN
sc-1145	291	11	between	between	ADP
sc-1145	291	12	previous	previous	ADJ
sc-1145	291	13	cluster	cluster	NOUN
sc-1145	291	14	centroids	centroid	NOUN
sc-1145	291	15	and	and	CCONJ
sc-1145	291	16	the	the	DET
sc-1145	291	17	query	query	NOUN
sc-1145	291	18	case	case	NOUN
sc-1145	291	19	.	.	PUNCT
sc-1145	292	1	the	the	DET
sc-1145	292	2	selected	select	VERB
sc-1145	292	3	cluster	cluster	NOUN
sc-1145	292	4	includes	include	VERB
sc-1145	292	5	the	the	DET
sc-1145	292	6	most	most	ADV
sc-1145	292	7	similar	similar	ADJ
sc-1145	292	8	cases	case	NOUN
sc-1145	292	9	.	.	PUNCT
sc-1145	293	1	for	for	ADP
sc-1145	293	2	instance	instance	NOUN
sc-1145	293	3	,	,	PUNCT
sc-1145	293	4	k	k	X
sc-1145	293	5	-	-	PUNCT
sc-1145	293	6	means	means	NOUN
sc-1145	293	7	provides	provide	VERB
sc-1145	293	8	the	the	DET
sc-1145	293	9	following	follow	VERB
sc-1145	293	10	output	output	NOUN
sc-1145	293	11	:	:	PUNCT
sc-1145	293	12	1	1	NUM
sc-1145	293	13	,	,	PUNCT
sc-1145	293	14	1	1	NUM
sc-1145	293	15	,	,	PUNCT
sc-1145	293	16	2	2	NUM
sc-1145	293	17	,	,	PUNCT
sc-1145	293	18	2	2	NUM
sc-1145	293	19	,	,	PUNCT
sc-1145	293	20	2	2	NUM
sc-1145	293	21	,	,	PUNCT
sc-1145	293	22	2	2	NUM
sc-1145	293	23	,	,	PUNCT
sc-1145	293	24	2	2	NUM
sc-1145	293	25	,	,	PUNCT
sc-1145	293	26	2	2	NUM
sc-1145	293	27	,	,	PUNCT
sc-1145	293	28	1	1	NUM
sc-1145	293	29	,	,	PUNCT
sc-1145	293	30	1	1	NUM
sc-1145	293	31	,	,	PUNCT
sc-1145	293	32	2	2	NUM
sc-1145	293	33	,	,	PUNCT
sc-1145	293	34	1	1	NUM
sc-1145	293	35	,	,	PUNCT
sc-1145	293	36	1	1	NUM
sc-1145	293	37	,	,	PUNCT
sc-1145	293	38	2	2	NUM
sc-1145	293	39	,	,	PUNCT
sc-1145	293	40	2	2	NUM
sc-1145	293	41	,	,	PUNCT
sc-1145	293	42	1	1	NUM
sc-1145	293	43	,	,	PUNCT
sc-1145	293	44	1	1	NUM
sc-1145	293	45	,	,	PUNCT
sc-1145	293	46	1	1	NUM
sc-1145	293	47	,	,	PUNCT
sc-1145	293	48	1	1	NUM
sc-1145	293	49	,	,	PUNCT
sc-1145	293	50	1	1	NUM
sc-1145	293	51	,	,	PUNCT
sc-1145	293	52	1	1	NUM
sc-1145	293	53	,	,	PUNCT
sc-1145	293	54	1	1	NUM
sc-1145	293	55	,	,	PUNCT
sc-1145	293	56	1	1	NUM
sc-1145	293	57	,	,	PUNCT
sc-1145	293	58	2	2	NUM
sc-1145	293	59	,	,	PUNCT
sc-1145	293	60	1	1	NUM
sc-1145	293	61	,	,	PUNCT
sc-1145	293	62	1	1	NUM
sc-1145	293	63	,	,	PUNCT
sc-1145	293	64	1	1	NUM
sc-1145	293	65	,	,	PUNCT
sc-1145	293	66	2	2	NUM
sc-1145	293	67	,	,	PUNCT
sc-1145	293	68	2	2	NUM
sc-1145	293	69	.	.	PUNCT
sc-1145	294	1	the	the	DET
sc-1145	294	2	position	position	NOUN
sc-1145	294	3	represents	represent	VERB
sc-1145	294	4	the	the	DET
sc-1145	294	5	case	case	NOUN
sc-1145	294	6	index	index	NOUN
sc-1145	294	7	and	and	CCONJ
sc-1145	294	8	the	the	DET
sc-1145	294	9	value	value	NOUN
sc-1145	294	10	is	be	AUX
sc-1145	294	11	the	the	DET
sc-1145	294	12	cluster	cluster	NOUN
sc-1145	294	13	identifier	identifier	NOUN
sc-1145	294	14	to	to	PART
sc-1145	294	15	which	which	PRON
sc-1145	294	16	the	the	DET
sc-1145	294	17	case	case	NOUN
sc-1145	294	18	belongs	belong	VERB
sc-1145	294	19	.	.	PUNCT
sc-1145	295	1	in	in	ADP
sc-1145	295	2	this	this	DET
sc-1145	295	3	example	example	NOUN
sc-1145	295	4	,	,	PUNCT
sc-1145	295	5	case	case	NOUN
sc-1145	295	6	1	1	NUM
sc-1145	295	7	,	,	PUNCT
sc-1145	295	8	case	case	NOUN
sc-1145	295	9	2	2	NUM
sc-1145	295	10	,	,	PUNCT
sc-1145	295	11	case	case	NOUN
sc-1145	295	12	9	9	NUM
sc-1145	295	13	,	,	PUNCT
sc-1145	295	14	case	case	NOUN
sc-1145	295	15	10	10	NUM
sc-1145	295	16	belong	belong	VERB
sc-1145	295	17	to	to	ADP
sc-1145	295	18	cluster	cluster	NOUN
sc-1145	295	19	1	1	NUM
sc-1145	295	20	.	.	PUNCT
sc-1145	295	21	case	case	NOUN
sc-1145	295	22	3	3	NUM
sc-1145	295	23	,	,	PUNCT
sc-1145	295	24	case	case	NOUN
sc-1145	295	25	4	4	NUM
sc-1145	295	26	,	,	PUNCT
sc-1145	295	27	case	case	NOUN
sc-1145	295	28	5	5	NUM
sc-1145	295	29	belong	belong	VERB
sc-1145	295	30	to	to	ADP
sc-1145	295	31	cluster	cluster	NOUN
sc-1145	295	32	2	2	NUM
sc-1145	295	33	.	.	PUNCT
sc-1145	296	1	the	the	DET
sc-1145	296	2	next	next	ADJ
sc-1145	296	3	step	step	NOUN
sc-1145	296	4	consists	consist	VERB
sc-1145	296	5	to	to	PART
sc-1145	296	6	apply	apply	VERB
sc-1145	296	7	k	k	PROPN
sc-1145	296	8	-	-	PUNCT
sc-1145	296	9	nn	nn	NOUN
sc-1145	296	10	to	to	PART
sc-1145	296	11	determine	determine	VERB
sc-1145	296	12	in	in	ADP
sc-1145	296	13	which	which	DET
sc-1145	296	14	cluster	cluster	NOUN
sc-1145	296	15	the	the	DET
sc-1145	296	16	query	query	NOUN
sc-1145	296	17	case	case	NOUN
sc-1145	296	18	fits	fit	VERB
sc-1145	296	19	better	well	ADV
sc-1145	296	20	:	:	PUNCT
sc-1145	296	21	it	it	PRON
sc-1145	296	22	is	be	AUX
sc-1145	296	23	a	a	DET
sc-1145	296	24	classification	classification	NOUN
sc-1145	296	25	problem	problem	NOUN
sc-1145	296	26	.	.	PUNCT
sc-1145	297	1	in	in	ADP
sc-1145	297	2	other	other	ADJ
sc-1145	297	3	words	word	NOUN
sc-1145	297	4	,	,	PUNCT
sc-1145	297	5	this	this	DET
sc-1145	297	6	step	step	NOUN
sc-1145	297	7	8	8	NUM
sc-1145	297	8	naomi	naomi	NOUN
sc-1145	297	9	dassi	dassi	PROPN
sc-1145	297	10	tchomté	tchomté	PROPN
sc-1145	297	11	et	et	PROPN
sc-1145	297	12	al	al	PROPN
sc-1145	297	13	.	.	PUNCT
sc-1145	298	1	eai	eai	PROPN
sc-1145	298	2	endorsed	endorse	VERB
sc-1145	298	3	transactions	transaction	NOUN
sc-1145	298	4	on	on	ADP
sc-1145	298	5	smart	smart	ADJ
sc-1145	298	6	cities	city	NOUN
sc-1145	298	7	06	06	NUM
sc-1145	298	8	2018	2018	NUM
sc-1145	298	9	02	02	NUM
sc-1145	298	10	2020	2020	NUM
sc-1145	298	11	|	|	ADV
sc-1145	298	12	volume	volume	NOUN
sc-1145	298	13	4	4	NUM
sc-1145	298	14	|	|	NOUN
sc-1145	298	15	issue	issue	NOUN
sc-1145	298	16	9	9	NUM
sc-1145	298	17	|	|	NOUN
sc-1145	298	18	e4	e4	PROPN
sc-1145	298	19	figure	figure	NOUN
sc-1145	298	20	7	7	NUM
sc-1145	298	21	.	.	PUNCT
sc-1145	299	1	cable	cable	NOUN
sc-1145	299	2	cases	case	NOUN
sc-1145	299	3	attributes	attribute	VERB
sc-1145	299	4	solutions	solution	NOUN
sc-1145	299	5	attribute1	attribute1	PROPN
sc-1145	299	6	attribute2	attribute2	PROPN
sc-1145	299	7	...	...	PUNCT
sc-1145	299	8	...	...	PUNCT
sc-1145	300	1	attributem	attributem	NOUN
sc-1145	300	2	case1	case1	NOUN
sc-1145	300	3	v	v	ADP
sc-1145	300	4	alue11	alue11	X
sc-1145	300	5	v	v	X
sc-1145	300	6	alue12	alue12	NOUN
sc-1145	300	7	...	...	PUNCT
sc-1145	300	8	...	...	PUNCT
sc-1145	301	1	v	v	X
sc-1145	301	2	alue1	alue1	NOUN
sc-1145	301	3	m	m	PROPN
sc-1145	301	4	solution1	solution1	NOUN
sc-1145	301	5	case2	case2	PROPN
sc-1145	302	1	v	v	ADP
sc-1145	302	2	alue21	alue21	NOUN
sc-1145	302	3	v	v	ADP
sc-1145	302	4	alue22	alue22	NOUN
sc-1145	302	5	...	...	PUNCT
sc-1145	303	1	...	...	PUNCT
sc-1145	303	2	v	v	X
sc-1145	303	3	alue2	alue2	NOUN
sc-1145	303	4	m	m	VERB
sc-1145	303	5	solution2	solution2	NOUN
sc-1145	303	6	...	...	PUNCT
sc-1145	303	7	...	...	PUNCT
sc-1145	303	8	...	...	PUNCT
sc-1145	303	9	...	...	PUNCT
sc-1145	303	10	...	...	PUNCT
sc-1145	303	11	...	...	PUNCT
sc-1145	303	12	...	...	PUNCT
sc-1145	303	13	...	...	PUNCT
sc-1145	303	14	...	...	PUNCT
sc-1145	303	15	...	...	PUNCT
sc-1145	303	16	...	...	PUNCT
sc-1145	303	17	...	...	PUNCT
sc-1145	303	18	...	...	PUNCT
sc-1145	303	19	...	...	PUNCT
sc-1145	304	1	casen	casen	ADJ
sc-1145	304	2	v	v	ADP
sc-1145	304	3	aluen1	aluen1	ADJ
sc-1145	304	4	v	v	ADP
sc-1145	304	5	aluen2	aluen2	NOUN
sc-1145	304	6	...	...	PUNCT
sc-1145	305	1	...	...	PUNCT
sc-1145	306	1	v	v	X
sc-1145	306	2	aluenm	aluenm	NOUN
sc-1145	306	3	solutionn	solutionn	NOUN
sc-1145	306	4	table	table	NOUN
sc-1145	306	5	2	2	NUM
sc-1145	306	6	.	.	PUNCT
sc-1145	306	7	case	case	NOUN
sc-1145	306	8	base	base	NOUN
sc-1145	306	9	determines	determine	VERB
sc-1145	306	10	the	the	DET
sc-1145	306	11	centroid	centroid	NOUN
sc-1145	306	12	most	most	ADV
sc-1145	306	13	closer	close	ADV
sc-1145	306	14	to	to	ADP
sc-1145	306	15	the	the	DET
sc-1145	306	16	query	query	NOUN
sc-1145	306	17	case	case	NOUN
sc-1145	306	18	,	,	PUNCT
sc-1145	306	19	based	base	VERB
sc-1145	306	20	on	on	ADP
sc-1145	306	21	euclidean	euclidean	ADJ
sc-1145	306	22	distance	distance	NOUN
sc-1145	306	23	.	.	PUNCT
sc-1145	307	1	in	in	ADP
sc-1145	307	2	case	case	NOUN
sc-1145	307	3	,	,	PUNCT
sc-1145	307	4	several	several	ADJ
sc-1145	307	5	clusters	cluster	NOUN
sc-1145	307	6	are	be	AUX
sc-1145	307	7	equally	equally	ADV
sc-1145	307	8	distant	distant	ADJ
sc-1145	307	9	,	,	PUNCT
sc-1145	307	10	the	the	DET
sc-1145	307	11	operation	operation	NOUN
sc-1145	307	12	is	be	AUX
sc-1145	307	13	restarted	restart	VERB
sc-1145	307	14	based	base	VERB
sc-1145	307	15	on	on	ADP
sc-1145	307	16	cosine	cosine	NOUN
sc-1145	307	17	distance	distance	NOUN
sc-1145	307	18	.	.	PUNCT
sc-1145	308	1	at	at	ADP
sc-1145	308	2	the	the	DET
sc-1145	308	3	end	end	NOUN
sc-1145	308	4	,	,	PUNCT
sc-1145	308	5	there	there	PRON
sc-1145	308	6	are	be	VERB
sc-1145	308	7	two	two	NUM
sc-1145	308	8	outputs	output	NOUN
sc-1145	308	9	.	.	PUNCT
sc-1145	309	1	•	•	NUM
sc-1145	309	2	the	the	DET
sc-1145	309	3	cluster	cluster	NOUN
sc-1145	309	4	with	with	ADP
sc-1145	309	5	the	the	DET
sc-1145	309	6	centroid	centroid	NOUN
sc-1145	309	7	with	with	ADP
sc-1145	309	8	the	the	DET
sc-1145	309	9	smaller	small	ADJ
sc-1145	309	10	euclidean	euclidean	ADJ
sc-1145	309	11	distance	distance	NOUN
sc-1145	309	12	is	be	AUX
sc-1145	309	13	selected	select	VERB
sc-1145	309	14	;	;	PUNCT
sc-1145	309	15	•	•	SCONJ
sc-1145	309	16	the	the	DET
sc-1145	309	17	cases	case	NOUN
sc-1145	309	18	belonging	belong	VERB
sc-1145	309	19	to	to	ADP
sc-1145	309	20	that	that	DET
sc-1145	309	21	cluster	cluster	NOUN
sc-1145	309	22	are	be	AUX
sc-1145	309	23	elected	elect	VERB
sc-1145	309	24	as	as	ADP
sc-1145	309	25	the	the	DET
sc-1145	309	26	most	most	ADV
sc-1145	309	27	similar	similar	ADJ
sc-1145	309	28	cases	case	NOUN
sc-1145	309	29	for	for	ADP
sc-1145	309	30	the	the	DET
sc-1145	309	31	problem	problem	NOUN
sc-1145	309	32	.	.	PUNCT
sc-1145	310	1	4.2	4.2	NUM
sc-1145	310	2	.	.	PUNCT
sc-1145	310	3	reuse	reuse	VERB
sc-1145	310	4	this	this	DET
sc-1145	310	5	stage	stage	NOUN
sc-1145	310	6	aims	aim	VERB
sc-1145	310	7	to	to	PART
sc-1145	310	8	take	take	VERB
sc-1145	310	9	the	the	DET
sc-1145	310	10	set	set	NOUN
sc-1145	310	11	of	of	ADP
sc-1145	310	12	most	most	ADJ
sc-1145	310	13	similar	similar	ADJ
sc-1145	310	14	cases	case	NOUN
sc-1145	310	15	to	to	PART
sc-1145	310	16	deduce	deduce	VERB
sc-1145	310	17	the	the	DET
sc-1145	310	18	solution	solution	NOUN
sc-1145	310	19	of	of	ADP
sc-1145	310	20	the	the	DET
sc-1145	310	21	query	query	NOUN
sc-1145	310	22	case	case	NOUN
sc-1145	310	23	.	.	PUNCT
sc-1145	311	1	for	for	ADP
sc-1145	311	2	that	that	PRON
sc-1145	311	3	,	,	PUNCT
sc-1145	311	4	as	as	SCONJ
sc-1145	311	5	described	describe	VERB
sc-1145	311	6	in	in	ADP
sc-1145	311	7	section	section	NOUN
sc-1145	311	8	3.1	3.1	NUM
sc-1145	311	9	,	,	PUNCT
sc-1145	311	10	there	there	PRON
sc-1145	311	11	are	be	VERB
sc-1145	311	12	three	three	NUM
sc-1145	311	13	main	main	ADJ
sc-1145	311	14	possibilities	possibility	NOUN
sc-1145	311	15	.	.	PUNCT
sc-1145	312	1	first	first	ADV
sc-1145	312	2	,	,	PUNCT
sc-1145	312	3	the	the	DET
sc-1145	312	4	attributes	attribute	NOUN
sc-1145	312	5	are	be	AUX
sc-1145	312	6	modified	modify	VERB
sc-1145	312	7	;	;	PUNCT
sc-1145	312	8	second	second	X
sc-1145	312	9	,	,	PUNCT
sc-1145	312	10	the	the	DET
sc-1145	312	11	problem	problem	NOUN
sc-1145	312	12	structure	structure	NOUN
sc-1145	312	13	is	be	AUX
sc-1145	312	14	modified	modify	VERB
sc-1145	312	15	;	;	PUNCT
sc-1145	312	16	and	and	CCONJ
sc-1145	312	17	third	third	ADJ
sc-1145	312	18	,	,	PUNCT
sc-1145	312	19	solution	solution	NOUN
sc-1145	312	20	of	of	ADP
sc-1145	312	21	the	the	DET
sc-1145	312	22	retrieved	retrieve	VERB
sc-1145	312	23	cases	case	NOUN
sc-1145	312	24	are	be	AUX
sc-1145	312	25	together	together	ADV
sc-1145	312	26	merged	merge	VERB
sc-1145	312	27	to	to	ADP
sc-1145	312	28	the	the	DET
sc-1145	312	29	query	query	NOUN
sc-1145	312	30	case	case	NOUN
sc-1145	312	31	while	while	SCONJ
sc-1145	312	32	changing	change	VERB
sc-1145	312	33	some	some	DET
sc-1145	312	34	parameters	parameter	NOUN
sc-1145	312	35	such	such	ADJ
sc-1145	312	36	as	as	ADP
sc-1145	312	37	attribute	attribute	NOUN
sc-1145	312	38	weights	weight	NOUN
sc-1145	312	39	.	.	PUNCT
sc-1145	313	1	the	the	DET
sc-1145	313	2	adopted	adopt	VERB
sc-1145	313	3	method	method	NOUN
sc-1145	313	4	is	be	AUX
sc-1145	313	5	the	the	DET
sc-1145	313	6	last	last	ADJ
sc-1145	313	7	option	option	NOUN
sc-1145	313	8	because	because	SCONJ
sc-1145	313	9	the	the	DET
sc-1145	313	10	two	two	NUM
sc-1145	313	11	first	first	ADJ
sc-1145	313	12	options	option	NOUN
sc-1145	313	13	modify	modify	VERB
sc-1145	313	14	either	either	CCONJ
sc-1145	313	15	the	the	DET
sc-1145	313	16	original	original	ADJ
sc-1145	313	17	problem	problem	NOUN
sc-1145	313	18	structure	structure	NOUN
sc-1145	313	19	.	.	PUNCT
sc-1145	314	1	this	this	DET
sc-1145	314	2	situation	situation	NOUN
sc-1145	314	3	is	be	AUX
sc-1145	314	4	represented	represent	VERB
sc-1145	314	5	as	as	ADP
sc-1145	314	6	a	a	DET
sc-1145	314	7	model	model	NOUN
sc-1145	314	8	of	of	ADP
sc-1145	314	9	relationships	relationship	NOUN
sc-1145	314	10	between	between	ADP
sc-1145	314	11	different	different	ADJ
sc-1145	314	12	cases	case	NOUN
sc-1145	314	13	.	.	PUNCT
sc-1145	315	1	that	that	PRON
sc-1145	315	2	is	be	AUX
sc-1145	315	3	,	,	PUNCT
sc-1145	315	4	to	to	PART
sc-1145	315	5	determine	determine	VERB
sc-1145	315	6	a	a	DET
sc-1145	315	7	linear	linear	ADJ
sc-1145	315	8	function	function	NOUN
sc-1145	315	9	between	between	ADP
sc-1145	315	10	the	the	DET
sc-1145	315	11	solutions	solution	NOUN
sc-1145	315	12	and	and	CCONJ
sc-1145	315	13	case	case	NOUN
sc-1145	315	14	attributes	attribute	NOUN
sc-1145	315	15	,	,	PUNCT
sc-1145	315	16	based	base	VERB
sc-1145	315	17	on	on	ADP
sc-1145	315	18	the	the	DET
sc-1145	315	19	actual	actual	ADJ
sc-1145	315	20	structure	structure	NOUN
sc-1145	315	21	of	of	ADP
sc-1145	315	22	the	the	DET
sc-1145	315	23	case	case	NOUN
sc-1145	315	24	base	base	NOUN
sc-1145	315	25	.	.	PUNCT
sc-1145	316	1	this	this	DET
sc-1145	316	2	problem	problem	NOUN
sc-1145	316	3	can	can	AUX
sc-1145	316	4	be	be	AUX
sc-1145	316	5	modelled	model	VERB
sc-1145	316	6	as	as	ADP
sc-1145	316	7	a	a	DET
sc-1145	316	8	linear	linear	ADJ
sc-1145	316	9	programming	programming	NOUN
sc-1145	316	10	model	model	NOUN
sc-1145	316	11	as	as	SCONJ
sc-1145	316	12	shown	show	VERB
sc-1145	316	13	in	in	ADP
sc-1145	316	14	equation	equation	NOUN
sc-1145	316	15	9	9	NUM
sc-1145	316	16	,	,	PUNCT
sc-1145	316	17	where	where	SCONJ
sc-1145	316	18	•	•	ADP
sc-1145	316	19	xij	xij	NOUN
sc-1145	316	20	is	be	AUX
sc-1145	316	21	the	the	DET
sc-1145	316	22	attribute	attribute	NOUN
sc-1145	316	23	i	i	PRON
sc-1145	316	24	’s	’	VERB
sc-1145	316	25	value	value	NOUN
sc-1145	316	26	of	of	ADP
sc-1145	316	27	the	the	DET
sc-1145	316	28	case	case	NOUN
sc-1145	316	29	j	j	NOUN
sc-1145	316	30	;	;	PUNCT
sc-1145	316	31	•	•	NUM
sc-1145	316	32	wi	wi	PROPN
sc-1145	316	33	is	be	AUX
sc-1145	316	34	the	the	DET
sc-1145	316	35	ith	ith	PROPN
sc-1145	316	36	ahp	ahp	PROPN
sc-1145	316	37	weight	weight	NOUN
sc-1145	316	38	;	;	PUNCT
sc-1145	316	39	•	•	NUM
sc-1145	316	40	rj	rj	PROPN
sc-1145	316	41	is	be	AUX
sc-1145	316	42	the	the	DET
sc-1145	316	43	solution	solution	NOUN
sc-1145	316	44	value	value	NOUN
sc-1145	316	45	of	of	ADP
sc-1145	316	46	the	the	DET
sc-1145	316	47	case	case	NOUN
sc-1145	316	48	j.	j.	PROPN
sc-1145	316	49	9	9	NUM
sc-1145	316	50	a	a	DET
sc-1145	316	51	case	case	NOUN
sc-1145	316	52	based	base	VERB
sc-1145	316	53	reasoning	reasoning	NOUN
sc-1145	316	54	coupling	couple	VERB
sc-1145	316	55	multi	multi	ADJ
sc-1145	316	56	-	-	ADJ
sc-1145	316	57	criteria	criterion	NOUN
sc-1145	316	58	decision	decision	NOUN
sc-1145	316	59	making	make	VERB
sc-1145	316	60	with	with	ADP
sc-1145	316	61	learning	learning	NOUN
sc-1145	316	62	and	and	CCONJ
sc-1145	316	63	optimization	optimization	NOUN
sc-1145	316	64	intelligences	intelligence	NOUN
sc-1145	316	65	:	:	PUNCT
sc-1145	316	66	application	application	NOUN
sc-1145	316	67	to	to	ADP
sc-1145	316	68	energy	energy	NOUN
sc-1145	316	69	consumption	consumption	NOUN
sc-1145	316	70	eai	eai	NOUN
sc-1145	316	71	endorsed	endorse	VERB
sc-1145	316	72	transactions	transaction	NOUN
sc-1145	316	73	on	on	ADP
sc-1145	316	74	smart	smart	ADJ
sc-1145	316	75	cities	city	NOUN
sc-1145	316	76	06	06	NUM
sc-1145	316	77	2018	2018	NUM
sc-1145	316	78	02	02	NUM
sc-1145	316	79	2020	2020	NUM
sc-1145	316	80	|	|	ADV
sc-1145	316	81	volume	volume	NOUN
sc-1145	316	82	4	4	NUM
sc-1145	316	83	|	|	NOUN
sc-1145	316	84	issue	issue	NOUN
sc-1145	316	85	9	9	NUM
sc-1145	317	1	|	|	ADV
sc-1145	317	2	e4	e4	PROPN
sc-1145	317	3	rj	rj	NOUN
sc-1145	317	4	=	=	PUNCT
sc-1145	317	5	w1xj1	w1xj1	PROPN
sc-1145	317	6	+	+	CCONJ
sc-1145	317	7	w2xj2	w2xj2	ADJ
sc-1145	317	8	+	+	CCONJ
sc-1145	317	9	w3xj3	w3xj3	NOUN
sc-1145	317	10	+	+	CCONJ
sc-1145	317	11	...	...	PUNCT
sc-1145	318	1	+	+	CCONJ
sc-1145	318	2	wixji	wixji	NOUN
sc-1145	318	3	(	(	PUNCT
sc-1145	318	4	9	9	NUM
sc-1145	318	5	)	)	PUNCT
sc-1145	318	6	equation	equation	NOUN
sc-1145	318	7	(	(	PUNCT
sc-1145	318	8	10	10	NUM
sc-1145	318	9	)	)	PUNCT
sc-1145	318	10	is	be	AUX
sc-1145	318	11	obtained	obtain	VERB
sc-1145	318	12	after	after	ADP
sc-1145	318	13	applying	apply	VERB
sc-1145	318	14	equation	equation	NOUN
sc-1145	318	15	(	(	PUNCT
sc-1145	318	16	9	9	NUM
sc-1145	318	17	)	)	PUNCT
sc-1145	318	18	to	to	ADP
sc-1145	318	19	the	the	DET
sc-1145	318	20	set	set	NOUN
sc-1145	318	21	of	of	ADP
sc-1145	318	22	retrieved	retrieved	ADJ
sc-1145	318	23	cases.	cases.	NOUN
sc-1145	318	24	x11	x11	PROPN
sc-1145	318	25	.	.	PUNCT
sc-1145	318	26	.	.	PUNCT
sc-1145	318	27	.	.	PUNCT
sc-1145	319	1	x1i	x1i	PROPN
sc-1145	319	2	...	...	PUNCT
sc-1145	319	3	.	.	PUNCT
sc-1145	319	4	.	.	PUNCT
sc-1145	319	5	.	.	PUNCT
sc-1145	320	1	...	...	PUNCT
sc-1145	321	1	xj1	xj1	PROPN
sc-1145	321	2	.	.	PUNCT
sc-1145	321	3	.	.	PUNCT
sc-1145	321	4	.	.	PUNCT
sc-1145	322	1	xij	xij	PROPN
sc-1145	322	2			PUNCT
sc-1145	322	3	∗	∗	NOUN
sc-1145	322	4			NOUN
sc-1145	322	5	w1	w1	PROPN
sc-1145	322	6	...	...	PUNCT
sc-1145	323	1	wi	wi	PROPN
sc-1145	323	2			NUM
sc-1145	323	3	=	=	SYM
sc-1145	323	4			NOUN
sc-1145	323	5	r1	r1	NOUN
sc-1145	323	6	...	...	PUNCT
sc-1145	324	1	rj	rj	PROPN
sc-1145	324	2			NUM
sc-1145	324	3	(	(	PUNCT
sc-1145	324	4	10	10	NUM
sc-1145	324	5	)	)	PUNCT
sc-1145	324	6	variables	variable	NOUN
sc-1145	324	7	called	call	VERB
sc-1145	324	8	errors	error	NOUN
sc-1145	324	9	in	in	ADP
sc-1145	324	10	equation	equation	NOUN
sc-1145	324	11	(	(	PUNCT
sc-1145	324	12	11	11	NUM
sc-1145	324	13	)	)	PUNCT
sc-1145	324	14	are	be	AUX
sc-1145	324	15	the	the	DET
sc-1145	324	16	gap	gap	NOUN
sc-1145	324	17	between	between	ADP
sc-1145	324	18	the	the	DET
sc-1145	324	19	expected	expect	VERB
sc-1145	324	20	solution	solution	NOUN
sc-1145	324	21	and	and	CCONJ
sc-1145	324	22	the	the	DET
sc-1145	324	23	scalar	scalar	NOUN
sc-1145	324	24	of	of	ADP
sc-1145	324	25	casei	casei	NOUN
sc-1145	324	26	by	by	ADP
sc-1145	324	27	the	the	DET
sc-1145	324	28	vector	vector	NOUN
sc-1145	324	29	of	of	ADP
sc-1145	324	30	weights	weight	NOUN
sc-1145	324	31	.	.	PUNCT
sc-1145	325	1			PROPN
sc-1145	325	2	x11	x11	PROPN
sc-1145	325	3	.	.	PUNCT
sc-1145	325	4	.	.	PUNCT
sc-1145	325	5	.	.	PUNCT
sc-1145	326	1	x1i	x1i	PROPN
sc-1145	326	2	...	...	PUNCT
sc-1145	326	3	.	.	PUNCT
sc-1145	326	4	.	.	PUNCT
sc-1145	326	5	.	.	PUNCT
sc-1145	327	1	...	...	PUNCT
sc-1145	328	1	xj1	xj1	PROPN
sc-1145	328	2	.	.	PUNCT
sc-1145	328	3	.	.	PUNCT
sc-1145	328	4	.	.	PUNCT
sc-1145	329	1	xij	xij	PROPN
sc-1145	329	2			PUNCT
sc-1145	329	3	∗	∗	NOUN
sc-1145	329	4			NOUN
sc-1145	329	5	w1	w1	PROPN
sc-1145	329	6	...	...	PUNCT
sc-1145	330	1	wi	wi	PROPN
sc-1145	330	2			VERB
sc-1145	330	3	−	−	PROPN
sc-1145	330	4			NOUN
sc-1145	330	5	r1	r1	NOUN
sc-1145	330	6	...	...	PUNCT
sc-1145	331	1	rj	rj	PROPN
sc-1145	331	2			NUM
sc-1145	331	3	=	=	PUNCT
sc-1145	331	4			NOUN
sc-1145	331	5	e1	e1	PROPN
sc-1145	331	6	...	...	PUNCT
sc-1145	332	1	ej	ej	PART
sc-1145	332	2			NUM
sc-1145	332	3	(	(	PUNCT
sc-1145	332	4	11	11	NUM
sc-1145	332	5	)	)	PUNCT
sc-1145	332	6	the	the	DET
sc-1145	332	7	objective	objective	ADJ
sc-1145	332	8	function	function	NOUN
sc-1145	332	9	in	in	ADP
sc-1145	332	10	equation	equation	NOUN
sc-1145	332	11	(	(	PUNCT
sc-1145	332	12	12	12	NUM
sc-1145	332	13	)	)	PUNCT
sc-1145	332	14	has	have	AUX
sc-1145	332	15	been	be	AUX
sc-1145	332	16	adopted	adopt	VERB
sc-1145	332	17	from	from	ADP
sc-1145	332	18	[	[	X
sc-1145	332	19	5	5	NUM
sc-1145	332	20	]	]	PUNCT
sc-1145	332	21	with	with	ADP
sc-1145	332	22	the	the	DET
sc-1145	332	23	main	main	ADJ
sc-1145	332	24	goal	goal	NOUN
sc-1145	332	25	of	of	ADP
sc-1145	332	26	minimizing	minimize	VERB
sc-1145	332	27	the	the	DET
sc-1145	332	28	sum	sum	NOUN
sc-1145	332	29	of	of	ADP
sc-1145	332	30	square	square	ADJ
sc-1145	332	31	root	root	NOUN
sc-1145	332	32	of	of	ADP
sc-1145	332	33	the	the	DET
sc-1145	332	34	error	error	NOUN
sc-1145	332	35	ej	ej	X
sc-1145	332	36	.	.	PUNCT
sc-1145	333	1	this	this	DET
sc-1145	333	2	function	function	NOUN
sc-1145	333	3	reaches	reach	VERB
sc-1145	333	4	a	a	DET
sc-1145	333	5	minimum	minimum	ADJ
sc-1145	333	6	value	value	NOUN
sc-1145	333	7	when	when	SCONJ
sc-1145	333	8	the	the	DET
sc-1145	333	9	minimum	minimum	ADJ
sc-1145	333	10	combination	combination	NOUN
sc-1145	333	11	of	of	ADP
sc-1145	333	12	weights	weight	NOUN
sc-1145	333	13	is	be	AUX
sc-1145	333	14	obtained	obtain	VERB
sc-1145	333	15	by	by	ADP
sc-1145	333	16	solving	solve	VERB
sc-1145	333	17	each	each	PRON
sc-1145	333	18	of	of	ADP
sc-1145	333	19	the	the	DET
sc-1145	333	20	equations	equation	NOUN
sc-1145	333	21	resulting	result	VERB
sc-1145	333	22	from	from	ADP
sc-1145	333	23	the	the	DET
sc-1145	333	24	matrix	matrix	NOUN
sc-1145	333	25	calculation	calculation	NOUN
sc-1145	333	26	.	.	PUNCT
sc-1145	334	1	minf	minf	ADJ
sc-1145	334	2	(	(	PUNCT
sc-1145	334	3	e	e	NOUN
sc-1145	334	4	)	)	PUNCT
sc-1145	334	5	=	=	SYM
sc-1145	334	6	2	2	NUM
sc-1145	334	7	√√√maxj∑	√√√maxj∑	PROPN
sc-1145	334	8	i=1	i=1	PROPN
sc-1145	335	1	(	(	PUNCT
sc-1145	335	2	e2	e2	PROPN
sc-1145	335	3	j	j	PROPN
sc-1145	335	4	)	)	PUNCT
sc-1145	335	5	(	(	PUNCT
sc-1145	335	6	12	12	X
sc-1145	335	7	)	)	PUNCT
sc-1145	335	8	particle	particle	NOUN
sc-1145	335	9	swarm	swarm	NOUN
sc-1145	335	10	optimization	optimization	NOUN
sc-1145	335	11	(	(	PUNCT
sc-1145	335	12	pso	pso	NOUN
sc-1145	335	13	)	)	PUNCT
sc-1145	335	14	is	be	AUX
sc-1145	335	15	used	use	VERB
sc-1145	335	16	to	to	PART
sc-1145	335	17	find	find	VERB
sc-1145	335	18	the	the	DET
sc-1145	335	19	optimal	optimal	ADJ
sc-1145	335	20	weights	weight	NOUN
sc-1145	335	21	in	in	ADP
sc-1145	335	22	equation	equation	NOUN
sc-1145	335	23	12	12	NUM
sc-1145	335	24	.	.	PUNCT
sc-1145	336	1	the	the	DET
sc-1145	336	2	query	query	NOUN
sc-1145	336	3	case	case	NOUN
sc-1145	336	4	’s	’s	PART
sc-1145	336	5	solution	solution	NOUN
sc-1145	336	6	is	be	AUX
sc-1145	336	7	simply	simply	ADV
sc-1145	336	8	calculated	calculate	VERB
sc-1145	336	9	by	by	ADP
sc-1145	336	10	substituting	substitute	VERB
sc-1145	336	11	the	the	DET
sc-1145	336	12	attribute	attribute	NOUN
sc-1145	336	13	’s	’s	PART
sc-1145	336	14	optimal	optimal	ADJ
sc-1145	336	15	weights	weight	NOUN
sc-1145	336	16	and	and	CCONJ
sc-1145	336	17	its	its	PRON
sc-1145	336	18	attribute	attribute	NOUN
sc-1145	336	19	values	value	NOUN
sc-1145	336	20	.	.	PUNCT
sc-1145	337	1	evaluating	evaluate	VERB
sc-1145	337	2	the	the	DET
sc-1145	337	3	objective	objective	ADJ
sc-1145	337	4	function	function	NOUN
sc-1145	337	5	costs	cost	VERB
sc-1145	337	6	about	about	ADP
sc-1145	337	7	#	#	SYM
sc-1145	337	8	attribute	attribute	NOUN
sc-1145	337	9	∗	∗	NOUN
sc-1145	337	10	#	#	NOUN
sc-1145	337	11	cases	case	NOUN
sc-1145	337	12	for	for	ADP
sc-1145	337	13	solving	solve	VERB
sc-1145	337	14	the	the	DET
sc-1145	337	15	linear	linear	ADJ
sc-1145	337	16	system	system	NOUN
sc-1145	337	17	.	.	PUNCT
sc-1145	338	1	#	#	SYM
sc-1145	338	2	attribute	attribute	NOUN
sc-1145	338	3	is	be	AUX
sc-1145	338	4	the	the	DET
sc-1145	338	5	number	number	NOUN
sc-1145	338	6	of	of	ADP
sc-1145	338	7	attributes	attribute	NOUN
sc-1145	338	8	and	and	CCONJ
sc-1145	338	9	#	#	SYM
sc-1145	338	10	cases	case	NOUN
sc-1145	338	11	is	be	AUX
sc-1145	338	12	the	the	DET
sc-1145	338	13	number	number	NOUN
sc-1145	338	14	of	of	ADP
sc-1145	338	15	cases	case	NOUN
sc-1145	338	16	.	.	PUNCT
sc-1145	339	1	4.3	4.3	NUM
sc-1145	339	2	.	.	PUNCT
sc-1145	340	1	revise	revise	VERB
sc-1145	340	2	this	this	DET
sc-1145	340	3	activity	activity	NOUN
sc-1145	340	4	is	be	AUX
sc-1145	340	5	about	about	ADP
sc-1145	340	6	improving	improve	VERB
sc-1145	340	7	the	the	DET
sc-1145	340	8	solution	solution	NOUN
sc-1145	340	9	of	of	ADP
sc-1145	340	10	the	the	DET
sc-1145	340	11	case	case	NOUN
sc-1145	340	12	query	query	NOUN
sc-1145	340	13	so	so	SCONJ
sc-1145	340	14	that	that	PRON
sc-1145	340	15	to	to	PART
sc-1145	340	16	minimize	minimize	VERB
sc-1145	340	17	errors	error	NOUN
sc-1145	340	18	.	.	PUNCT
sc-1145	341	1	it	it	PRON
sc-1145	341	2	includes	include	VERB
sc-1145	341	3	different	different	ADJ
sc-1145	341	4	steps	step	NOUN
sc-1145	341	5	.	.	PUNCT
sc-1145	342	1	step	step	NOUN
sc-1145	342	2	1	1	NUM
sc-1145	342	3	the	the	DET
sc-1145	342	4	case	case	NOUN
sc-1145	342	5	base	base	NOUN
sc-1145	342	6	c	c	PROPN
sc-1145	342	7	is	be	AUX
sc-1145	342	8	splitted	splitte	VERB
sc-1145	342	9	in	in	ADP
sc-1145	342	10	possible	possible	ADJ
sc-1145	342	11	x%	x%	PUNCT
sc-1145	342	12	training	training	NOUN
sc-1145	342	13	cases	case	NOUN
sc-1145	342	14	(	(	PUNCT
sc-1145	342	15	training	training	NOUN
sc-1145	342	16	)	)	PUNCT
sc-1145	342	17	and	and	CCONJ
sc-1145	342	18	y%	y%	PROPN
sc-1145	342	19	testing	testing	NOUN
sc-1145	342	20	cases	case	NOUN
sc-1145	342	21	(	(	PUNCT
sc-1145	342	22	testing	testing	NOUN
sc-1145	342	23	)	)	PUNCT
sc-1145	342	24	such	such	ADJ
sc-1145	342	25	that	that	SCONJ
sc-1145	342	26	x	x	PUNCT
sc-1145	342	27	belongs	belong	VERB
sc-1145	342	28	to	to	ADP
sc-1145	342	29	50	50	NUM
sc-1145	342	30	%	%	NOUN
sc-1145	342	31	,	,	PUNCT
sc-1145	342	32	55	55	NUM
sc-1145	342	33	%	%	NOUN
sc-1145	342	34	,	,	PUNCT
sc-1145	342	35	60	60	NUM
sc-1145	342	36	%	%	NOUN
sc-1145	342	37	,	,	PUNCT
sc-1145	342	38	65	65	NUM
sc-1145	342	39	%	%	NOUN
sc-1145	342	40	,	,	PUNCT
sc-1145	342	41	70	70	NUM
sc-1145	342	42	%	%	NOUN
sc-1145	342	43	,	,	PUNCT
sc-1145	342	44	80	80	NUM
sc-1145	342	45	%	%	NOUN
sc-1145	342	46	,	,	PUNCT
sc-1145	342	47	85	85	NUM
sc-1145	342	48	%	%	NOUN
sc-1145	342	49	,	,	PUNCT
sc-1145	342	50	90	90	NUM
sc-1145	342	51	%	%	NOUN
sc-1145	342	52	,	,	PUNCT
sc-1145	342	53	95	95	NUM
sc-1145	342	54	%	%	NOUN
sc-1145	342	55	and	and	CCONJ
sc-1145	342	56	y	y	PROPN
sc-1145	342	57	is	be	AUX
sc-1145	342	58	100	100	NUM
sc-1145	342	59	%	%	NOUN
sc-1145	342	60	−	−	NOUN
sc-1145	342	61	x.	x.	NOUN
sc-1145	342	62	for	for	ADP
sc-1145	342	63	each	each	DET
sc-1145	342	64	splitting	splitting	NOUN
sc-1145	342	65	,	,	PUNCT
sc-1145	342	66	perform	perform	VERB
sc-1145	342	67	step	step	NOUN
sc-1145	342	68	2	2	NUM
sc-1145	342	69	to	to	PART
sc-1145	342	70	step	step	VERB
sc-1145	342	71	4	4	NUM
sc-1145	342	72	step	step	NOUN
sc-1145	342	73	2	2	NUM
sc-1145	342	74	the	the	DET
sc-1145	342	75	svr	svr	PROPN
sc-1145	342	76	algorithm	algorithm	NOUN
sc-1145	342	77	is	be	AUX
sc-1145	342	78	applied	apply	VERB
sc-1145	342	79	to	to	ADP
sc-1145	342	80	the	the	DET
sc-1145	342	81	training	training	NOUN
sc-1145	342	82	cases	case	NOUN
sc-1145	342	83	to	to	PART
sc-1145	342	84	obtain	obtain	VERB
sc-1145	342	85	the	the	DET
sc-1145	342	86	model	model	NOUN
sc-1145	342	87	of	of	ADP
sc-1145	342	88	regression	regression	NOUN
sc-1145	342	89	svrmodel	svrmodel	NOUN
sc-1145	342	90	.	.	PUNCT
sc-1145	343	1	step	step	NOUN
sc-1145	343	2	3	3	NUM
sc-1145	343	3	for	for	ADP
sc-1145	343	4	each	each	DET
sc-1145	343	5	testing	testing	NOUN
sc-1145	343	6	case	case	NOUN
sc-1145	343	7	,	,	PUNCT
sc-1145	343	8	(	(	PUNCT
sc-1145	343	9	a	a	X
sc-1145	343	10	)	)	PUNCT
sc-1145	343	11	compute	compute	NOUN
sc-1145	343	12	µtestingcase	µtestingcase	ADP
sc-1145	343	13	such	such	ADJ
sc-1145	343	14	that	that	SCONJ
sc-1145	343	15	µtestingcase	µtestingcase	NOUN
sc-1145	344	1	=	=	SYM
sc-1145	344	2	1	1	NUM
sc-1145	344	3	−	−	NUM
sc-1145	344	4	mean(solutionretrieve(testingcase	mean(solutionretrieve(testingcase	NOUN
sc-1145	344	5	)	)	PUNCT
sc-1145	344	6	)	)	PUNCT
sc-1145	344	7	solutionreuse(testingcase	solutionreuse(testingcase	PROPN
sc-1145	344	8	)	)	PUNCT
sc-1145	344	9	(	(	PUNCT
sc-1145	344	10	13	13	NUM
sc-1145	344	11	)	)	PUNCT
sc-1145	344	12	solutionretrieve(testingcase	solutionretrieve(testingcase	PROPN
sc-1145	344	13	)	)	PUNCT
sc-1145	344	14	provides	provide	VERB
sc-1145	344	15	solutions	solution	NOUN
sc-1145	344	16	of	of	ADP
sc-1145	344	17	the	the	DET
sc-1145	344	18	most	most	ADV
sc-1145	344	19	similar	similar	ADJ
sc-1145	344	20	cases	case	NOUN
sc-1145	344	21	for	for	ADP
sc-1145	344	22	the	the	DET
sc-1145	344	23	testing	testing	NOUN
sc-1145	344	24	case	case	NOUN
sc-1145	344	25	and	and	CCONJ
sc-1145	344	26	solutionreuse(testingcase	solutionreuse(testingcase	PROPN
sc-1145	344	27	)	)	PUNCT
sc-1145	344	28	gives	give	VERB
sc-1145	344	29	the	the	DET
sc-1145	344	30	solution	solution	NOUN
sc-1145	344	31	of	of	ADP
sc-1145	344	32	the	the	DET
sc-1145	344	33	testing	testing	NOUN
sc-1145	344	34	case	case	NOUN
sc-1145	344	35	obtained	obtain	VERB
sc-1145	344	36	in	in	ADP
sc-1145	344	37	the	the	DET
sc-1145	344	38	reuse	reuse	NOUN
sc-1145	344	39	.	.	PUNCT
sc-1145	345	1	the	the	DET
sc-1145	345	2	set	set	NOUN
sc-1145	345	3	of	of	ADP
sc-1145	345	4	training	training	NOUN
sc-1145	345	5	cases	case	NOUN
sc-1145	345	6	is	be	AUX
sc-1145	345	7	considered	consider	VERB
sc-1145	345	8	as	as	ADP
sc-1145	345	9	the	the	DET
sc-1145	345	10	case	case	NOUN
sc-1145	345	11	base	base	NOUN
sc-1145	345	12	to	to	PART
sc-1145	345	13	obtain	obtain	VERB
sc-1145	345	14	solutionretrieve	solutionretrieve	NOUN
sc-1145	345	15	and	and	CCONJ
sc-1145	345	16	solutionreuse	solutionreuse	NOUN
sc-1145	345	17	.	.	PUNCT
sc-1145	346	1	(	(	PUNCT
sc-1145	346	2	b	b	X
sc-1145	346	3	)	)	PUNCT
sc-1145	346	4	determine	determine	NOUN
sc-1145	346	5	µmin	µmin	NOUN
sc-1145	346	6	as	as	ADP
sc-1145	346	7	the	the	DET
sc-1145	346	8	smallest	small	ADJ
sc-1145	346	9	of	of	ADP
sc-1145	346	10	µtestingcase	µtestingcase	NOUN
sc-1145	346	11	.	.	PUNCT
sc-1145	347	1	step	step	VERB
sc-1145	347	2	4	4	NUM
sc-1145	347	3	determine	determine	VERB
sc-1145	347	4	the	the	DET
sc-1145	347	5	solution	solution	NOUN
sc-1145	347	6	of	of	ADP
sc-1145	347	7	the	the	DET
sc-1145	347	8	query	query	NOUN
sc-1145	347	9	case	case	NOUN
sc-1145	347	10	(	(	PUNCT
sc-1145	347	11	newcase	newcase	X
sc-1145	347	12	)	)	PUNCT
sc-1145	347	13	such	such	ADJ
sc-1145	347	14	that	that	DET
sc-1145	347	15	solutionrevise(newcase	solutionrevise(newcase	NOUN
sc-1145	347	16	)	)	PUNCT
sc-1145	347	17	=	=	NOUN
sc-1145	347	18	{	{	PUNCT
sc-1145	347	19	svrmodel(newcase	svrmodel(newcase	PROPN
sc-1145	347	20	)	)	PUNCT
sc-1145	347	21	µnewcase	µnewcase	NOUN
sc-1145	347	22	>	>	X
sc-1145	347	23	µmin	µmin	PROPN
sc-1145	347	24	solution1reuse(newcase	solution1reuse(newcase	PROPN
sc-1145	347	25	)	)	PUNCT
sc-1145	347	26	otherwise	otherwise	ADV
sc-1145	347	27	solution1reuse(newcase	solution1reuse(newcase	PROPN
sc-1145	347	28	)	)	PUNCT
sc-1145	347	29	is	be	AUX
sc-1145	347	30	computed	compute	VERB
sc-1145	347	31	on	on	ADP
sc-1145	347	32	the	the	DET
sc-1145	347	33	original	original	ADJ
sc-1145	347	34	c	c	NOUN
sc-1145	347	35	to	to	PART
sc-1145	347	36	obtain	obtain	VERB
sc-1145	347	37	the	the	DET
sc-1145	347	38	solution	solution	NOUN
sc-1145	347	39	in	in	ADP
sc-1145	347	40	the	the	DET
sc-1145	347	41	reuse	reuse	NOUN
sc-1145	347	42	.	.	PUNCT
sc-1145	348	1	svrmodel(newcase	svrmodel(newcase	PROPN
sc-1145	348	2	)	)	PUNCT
sc-1145	348	3	predicts	predict	VERB
sc-1145	348	4	the	the	DET
sc-1145	348	5	solution	solution	NOUN
sc-1145	348	6	of	of	ADP
sc-1145	348	7	the	the	DET
sc-1145	348	8	query	query	NOUN
sc-1145	348	9	case	case	NOUN
sc-1145	348	10	based	base	VERB
sc-1145	348	11	on	on	ADP
sc-1145	348	12	the	the	DET
sc-1145	348	13	regression	regression	NOUN
sc-1145	348	14	model	model	NOUN
sc-1145	348	15	.	.	PUNCT
sc-1145	349	1	5	5	X
sc-1145	349	2	.	.	NUM
sc-1145	349	3	tests	test	NOUN
sc-1145	349	4	and	and	CCONJ
sc-1145	349	5	validation	validation	NOUN
sc-1145	349	6	this	this	DET
sc-1145	349	7	research	research	NOUN
sc-1145	349	8	focused	focus	VERB
sc-1145	349	9	on	on	ADP
sc-1145	349	10	proposing	propose	VERB
sc-1145	349	11	a	a	DET
sc-1145	349	12	reliable	reliable	ADJ
sc-1145	349	13	scheme	scheme	NOUN
sc-1145	349	14	to	to	PART
sc-1145	349	15	estimate	estimate	VERB
sc-1145	349	16	solutions	solution	NOUN
sc-1145	349	17	of	of	ADP
sc-1145	349	18	new	new	ADJ
sc-1145	349	19	case	case	NOUN
sc-1145	349	20	problems	problem	NOUN
sc-1145	349	21	.	.	PUNCT
sc-1145	350	1	various	various	ADJ
sc-1145	350	2	experiments	experiment	NOUN
sc-1145	350	3	using	use	VERB
sc-1145	350	4	the	the	DET
sc-1145	350	5	collected	collect	VERB
sc-1145	350	6	cases	case	NOUN
sc-1145	350	7	were	be	AUX
sc-1145	350	8	conducted	conduct	VERB
sc-1145	350	9	to	to	PART
sc-1145	350	10	test	test	VERB
sc-1145	350	11	the	the	DET
sc-1145	350	12	reliability	reliability	NOUN
sc-1145	350	13	of	of	ADP
sc-1145	350	14	cable	cable	NOUN
sc-1145	350	15	.	.	PUNCT
sc-1145	351	1	all	all	DET
sc-1145	351	2	the	the	DET
sc-1145	351	3	scripts	script	NOUN
sc-1145	351	4	have	have	AUX
sc-1145	351	5	been	be	AUX
sc-1145	351	6	written	write	VERB
sc-1145	351	7	using	use	VERB
sc-1145	351	8	matrix	matrix	NOUN
sc-1145	351	9	laboratory	laboratory	NOUN
sc-1145	351	10	(	(	PUNCT
sc-1145	351	11	matlab	matlab	PROPN
sc-1145	351	12	)	)	PUNCT
sc-1145	351	13	version	version	NOUN
sc-1145	351	14	2018a	2018a	NUM
sc-1145	351	15	because	because	SCONJ
sc-1145	351	16	this	this	DET
sc-1145	351	17	environment	environment	NOUN
sc-1145	351	18	basically	basically	ADV
sc-1145	351	19	includes	include	VERB
sc-1145	351	20	pre	pre	ADJ
sc-1145	351	21	-	-	ADJ
sc-1145	351	22	integrated	integrated	ADJ
sc-1145	351	23	machine	machine	NOUN
sc-1145	351	24	learning	learning	NOUN
sc-1145	351	25	and	and	CCONJ
sc-1145	351	26	optimization	optimization	NOUN
sc-1145	351	27	packages	package	NOUN
sc-1145	351	28	.	.	PUNCT
sc-1145	352	1	the	the	DET
sc-1145	352	2	hardware	hardware	NOUN
sc-1145	352	3	consists	consist	VERB
sc-1145	352	4	to	to	ADP
sc-1145	352	5	a	a	DET
sc-1145	352	6	machine	machine	NOUN
sc-1145	352	7	with	with	ADP
sc-1145	352	8	a	a	DET
sc-1145	352	9	processor	processor	NOUN
sc-1145	352	10	core	core	NOUN
sc-1145	352	11	i5	i5	NOUN
sc-1145	352	12	of	of	ADP
sc-1145	352	13	3.20	3.20	NUM
sc-1145	352	14	ghz	ghz	NOUN
sc-1145	352	15	and	and	CCONJ
sc-1145	352	16	a	a	DET
sc-1145	352	17	memory	memory	NOUN
sc-1145	352	18	of	of	ADP
sc-1145	352	19	8	8	NUM
sc-1145	352	20	gigabytes	gigabyte	NOUN
sc-1145	352	21	with	with	ADP
sc-1145	352	22	microsoft	microsoft	PROPN
sc-1145	352	23	windows	windows	PROPN
sc-1145	352	24	8	8	NUM
sc-1145	352	25	as	as	ADP
sc-1145	352	26	the	the	DET
sc-1145	352	27	hosted	host	VERB
sc-1145	352	28	operating	operating	NOUN
sc-1145	352	29	system	system	NOUN
sc-1145	352	30	.	.	PUNCT
sc-1145	353	1	5.1	5.1	NUM
sc-1145	353	2	.	.	PUNCT
sc-1145	353	3	experiment	experiment	NOUN
sc-1145	353	4	design	design	NOUN
sc-1145	353	5	and	and	CCONJ
sc-1145	353	6	process	process	VERB
sc-1145	353	7	the	the	DET
sc-1145	353	8	experiment	experiment	NOUN
sc-1145	353	9	design	design	NOUN
sc-1145	353	10	has	have	VERB
sc-1145	353	11	chronological	chronological	ADJ
sc-1145	353	12	phases	phase	NOUN
sc-1145	353	13	as	as	SCONJ
sc-1145	353	14	illustrated	illustrate	VERB
sc-1145	353	15	in	in	ADP
sc-1145	353	16	figure	figure	NOUN
sc-1145	353	17	8	8	NUM
sc-1145	353	18	.	.	PUNCT
sc-1145	354	1	the	the	DET
sc-1145	354	2	first	first	ADJ
sc-1145	354	3	phase	phase	NOUN
sc-1145	354	4	is	be	AUX
sc-1145	354	5	the	the	DET
sc-1145	354	6	collection	collection	NOUN
sc-1145	354	7	of	of	ADP
sc-1145	354	8	the	the	DET
sc-1145	354	9	dataset	dataset	NOUN
sc-1145	354	10	,	,	PUNCT
sc-1145	354	11	which	which	PRON
sc-1145	354	12	includes	include	VERB
sc-1145	354	13	different	different	ADJ
sc-1145	354	14	cases	case	NOUN
sc-1145	354	15	related	relate	VERB
sc-1145	354	16	to	to	ADP
sc-1145	354	17	energy	energy	NOUN
sc-1145	354	18	consumption	consumption	NOUN
sc-1145	354	19	.	.	PUNCT
sc-1145	355	1	the	the	DET
sc-1145	355	2	second	second	ADJ
sc-1145	355	3	phase	phase	NOUN
sc-1145	355	4	concerns	concern	VERB
sc-1145	355	5	the	the	DET
sc-1145	355	6	application	application	NOUN
sc-1145	355	7	of	of	ADP
sc-1145	355	8	cable	cable	NOUN
sc-1145	355	9	on	on	ADP
sc-1145	355	10	the	the	DET
sc-1145	355	11	gathered	gather	VERB
sc-1145	355	12	data	datum	NOUN
sc-1145	355	13	.	.	PUNCT
sc-1145	356	1	this	this	DET
sc-1145	356	2	phase	phase	NOUN
sc-1145	356	3	includes	include	VERB
sc-1145	356	4	application	application	NOUN
sc-1145	356	5	of	of	ADP
sc-1145	356	6	different	different	ADJ
sc-1145	356	7	layer	layer	NOUN
sc-1145	356	8	processes	process	NOUN
sc-1145	356	9	involved	involve	VERB
sc-1145	356	10	in	in	ADP
sc-1145	356	11	cable	cable	NOUN
sc-1145	356	12	.	.	PUNCT
sc-1145	357	1	experiments	experiment	NOUN
sc-1145	357	2	based	base	VERB
sc-1145	357	3	on	on	ADP
sc-1145	357	4	ttest	tt	ADJ
sc-1145	357	5	are	be	AUX
sc-1145	357	6	exploited	exploit	VERB
sc-1145	357	7	to	to	PART
sc-1145	357	8	determine	determine	VERB
sc-1145	357	9	which	which	DET
sc-1145	357	10	reuse	reuse	NOUN
sc-1145	357	11	algorithm	algorithm	NOUN
sc-1145	357	12	provides	provide	VERB
sc-1145	357	13	best	good	ADJ
sc-1145	357	14	prediction	prediction	NOUN
sc-1145	357	15	results	result	NOUN
sc-1145	357	16	as	as	ADV
sc-1145	357	17	well	well	ADV
sc-1145	357	18	as	as	ADP
sc-1145	357	19	to	to	PART
sc-1145	357	20	examine	examine	VERB
sc-1145	357	21	which	which	PRON
sc-1145	357	22	whether	whether	SCONJ
sc-1145	357	23	reuse	reuse	NOUN
sc-1145	357	24	or	or	CCONJ
sc-1145	357	25	revise	revise	NOUN
sc-1145	357	26	is	be	AUX
sc-1145	357	27	precise	precise	ADJ
sc-1145	357	28	in	in	ADP
sc-1145	357	29	prediction	prediction	NOUN
sc-1145	357	30	.	.	PUNCT
sc-1145	358	1	the	the	DET
sc-1145	358	2	final	final	ADJ
sc-1145	358	3	performance	performance	NOUN
sc-1145	358	4	of	of	ADP
sc-1145	358	5	cable	cable	NOUN
sc-1145	358	6	is	be	AUX
sc-1145	358	7	obtained	obtain	VERB
sc-1145	358	8	by	by	ADP
sc-1145	358	9	computing	compute	VERB
sc-1145	358	10	the	the	DET
sc-1145	358	11	prediction	prediction	NOUN
sc-1145	358	12	accuracy	accuracy	NOUN
sc-1145	358	13	based	base	VERB
sc-1145	358	14	on	on	ADP
sc-1145	358	15	root	root	NOUN
sc-1145	358	16	mean	mean	NOUN
sc-1145	358	17	square	square	ADJ
sc-1145	358	18	error	error	NOUN
sc-1145	358	19	(	(	PUNCT
sc-1145	358	20	rmse	rmse	NOUN
sc-1145	358	21	)	)	PUNCT
sc-1145	358	22	since	since	SCONJ
sc-1145	358	23	the	the	DET
sc-1145	358	24	target	target	NOUN
sc-1145	358	25	variable	variable	NOUN
sc-1145	358	26	is	be	AUX
sc-1145	358	27	continuous	continuous	ADJ
sc-1145	358	28	.	.	PUNCT
sc-1145	359	1	the	the	DET
sc-1145	359	2	last	last	ADJ
sc-1145	359	3	phase	phase	NOUN
sc-1145	359	4	aims	aim	VERB
sc-1145	359	5	to	to	PART
sc-1145	359	6	measure	measure	VERB
sc-1145	359	7	effects	effect	NOUN
sc-1145	359	8	of	of	ADP
sc-1145	359	9	varying	vary	VERB
sc-1145	359	10	k	k	PROPN
sc-1145	359	11	-	-	PUNCT
sc-1145	359	12	nn	nn	ADJ
sc-1145	359	13	and	and	CCONJ
sc-1145	359	14	pso	pso	NOUN
sc-1145	359	15	parameters	parameter	NOUN
sc-1145	359	16	on	on	ADP
sc-1145	359	17	the	the	DET
sc-1145	359	18	retrieve	retrieve	NOUN
sc-1145	359	19	and	and	CCONJ
sc-1145	359	20	reuse	reuse	NOUN
sc-1145	359	21	results	result	NOUN
sc-1145	359	22	.	.	PUNCT
sc-1145	360	1	this	this	DET
sc-1145	360	2	phase	phase	NOUN
sc-1145	360	3	is	be	AUX
sc-1145	360	4	validated	validate	VERB
sc-1145	360	5	by	by	ADP
sc-1145	360	6	studying	study	VERB
sc-1145	360	7	consistency	consistency	NOUN
sc-1145	360	8	of	of	ADP
sc-1145	360	9	the	the	DET
sc-1145	360	10	retrieved	retrieve	VERB
sc-1145	360	11	cases	case	NOUN
sc-1145	360	12	obtained	obtain	VERB
sc-1145	360	13	for	for	ADP
sc-1145	360	14	each	each	DET
sc-1145	360	15	parameter	parameter	NOUN
sc-1145	360	16	value	value	NOUN
sc-1145	360	17	.	.	PUNCT
sc-1145	361	1	10	10	NUM
sc-1145	361	2	naomi	naomi	PROPN
sc-1145	361	3	dassi	dassi	PROPN
sc-1145	361	4	tchomté	tchomté	PROPN
sc-1145	361	5	et	et	PROPN
sc-1145	361	6	al	al	PROPN
sc-1145	361	7	.	.	PUNCT
sc-1145	362	1	eai	eai	PROPN
sc-1145	362	2	endorsed	endorse	VERB
sc-1145	362	3	transactions	transaction	NOUN
sc-1145	362	4	on	on	ADP
sc-1145	362	5	smart	smart	ADJ
sc-1145	362	6	cities	city	NOUN
sc-1145	362	7	06	06	NUM
sc-1145	362	8	2018	2018	NUM
sc-1145	362	9	02	02	NUM
sc-1145	362	10	2020	2020	NUM
sc-1145	362	11	|	|	ADV
sc-1145	362	12	volume	volume	NOUN
sc-1145	362	13	4	4	NUM
sc-1145	362	14	|	|	NOUN
sc-1145	362	15	issue	issue	NOUN
sc-1145	362	16	9	9	NUM
sc-1145	362	17	|	|	ADV
sc-1145	362	18	e4	e4	PROPN
sc-1145	362	19	collecting	collect	VERB
sc-1145	362	20	reliable	reliable	ADJ
sc-1145	362	21	data	data	NOUN
sc-1145	362	22	application	application	NOUN
sc-1145	362	23	of	of	ADP
sc-1145	362	24	cable	cable	NOUN
sc-1145	362	25	investigations	investigation	NOUN
sc-1145	362	26	of	of	ADP
sc-1145	362	27	impact	impact	NOUN
sc-1145	362	28	of	of	ADP
sc-1145	362	29	parameters	parameter	NOUN
sc-1145	362	30	1	1	NUM
sc-1145	362	31	2	2	NUM
sc-1145	362	32	3	3	NUM
sc-1145	362	33	validation	validation	NOUN
sc-1145	362	34	based	base	VERB
sc-1145	362	35	on	on	ADP
sc-1145	362	36	rsme	rsme	ADJ
sc-1145	362	37	validation	validation	NOUN
sc-1145	362	38	based	base	VERB
sc-1145	362	39	on	on	ADP
sc-1145	362	40	test	test	NOUN
sc-1145	362	41	statistics	statistic	NOUN
sc-1145	362	42	validation	validation	NOUN
sc-1145	362	43	based	base	VERB
sc-1145	362	44	on	on	ADP
sc-1145	362	45	the	the	DET
sc-1145	362	46	retrieved	retrieve	VERB
sc-1145	362	47	cases	case	NOUN
sc-1145	362	48	figure	figure	VERB
sc-1145	362	49	8	8	NUM
sc-1145	362	50	.	.	PUNCT
sc-1145	363	1	experiment	experiment	NOUN
sc-1145	363	2	design	design	NOUN
sc-1145	363	3	table	table	NOUN
sc-1145	363	4	3	3	NUM
sc-1145	363	5	.	.	PUNCT
sc-1145	363	6	description	description	NOUN
sc-1145	363	7	of	of	ADP
sc-1145	363	8	dataset	dataset	NOUN
sc-1145	363	9	attributes	attribute	NOUN
sc-1145	363	10	attribute	attribute	NOUN
sc-1145	363	11	description	description	NOUN
sc-1145	363	12	da_demand(a1	da_demand(a1	NOUN
sc-1145	363	13	)	)	PUNCT
sc-1145	363	14	day	day	NOUN
sc-1145	363	15	-	-	PUNCT
sc-1145	363	16	ahead	ahead	NOUN
sc-1145	363	17	cleared	clear	VERB
sc-1145	363	18	demand	demand	NOUN
sc-1145	363	19	rt	rt	PROPN
sc-1145	363	20	_	_	NOUN
sc-1145	363	21	demand(a2	demand(a2	NOUN
sc-1145	363	22	)	)	PUNCT
sc-1145	363	23	real	real	ADJ
sc-1145	363	24	-	-	PUNCT
sc-1145	363	25	time	time	NOUN
sc-1145	363	26	demand	demand	NOUN
sc-1145	363	27	da_lmp(a3	da_lmp(a3	NOUN
sc-1145	363	28	)	)	PUNCT
sc-1145	363	29	locational	locational	ADJ
sc-1145	363	30	marginal	marginal	ADJ
sc-1145	363	31	price	price	NOUN
sc-1145	363	32	one	one	NUM
sc-1145	363	33	day	day	NOUN
sc-1145	363	34	ahead	ahead	ADV
sc-1145	363	35	da_ec(a4	da_ec(a4	PROPN
sc-1145	363	36	)	)	PUNCT
sc-1145	363	37	energy	energy	NOUN
sc-1145	363	38	part	part	NOUN
sc-1145	363	39	of	of	ADP
sc-1145	363	40	the	the	DET
sc-1145	363	41	day	day	NOUN
sc-1145	363	42	ahead	ahead	ADV
sc-1145	363	43	price	price	PROPN
sc-1145	363	44	da_cc(a5	da_cc(a5	NOUN
sc-1145	363	45	)	)	PUNCT
sc-1145	363	46	congestion	congestion	NOUN
sc-1145	363	47	part	part	NOUN
sc-1145	363	48	of	of	ADP
sc-1145	363	49	the	the	DET
sc-1145	363	50	day	day	NOUN
sc-1145	363	51	ahead	ahead	ADV
sc-1145	363	52	price	price	NOUN
sc-1145	363	53	da_mlc(a6	da_mlc(a6	NOUN
sc-1145	363	54	)	)	PUNCT
sc-1145	363	55	marginal	marginal	ADJ
sc-1145	363	56	loss	loss	NOUN
sc-1145	363	57	part	part	NOUN
sc-1145	363	58	of	of	ADP
sc-1145	363	59	the	the	DET
sc-1145	363	60	day	day	NOUN
sc-1145	363	61	ahead	ahead	ADV
sc-1145	363	62	price	price	NOUN
sc-1145	363	63	rt_lmp(a7	rt_lmp(a7	NOUN
sc-1145	363	64	)	)	PUNCT
sc-1145	363	65	real	real	ADJ
sc-1145	363	66	-	-	PUNCT
sc-1145	363	67	time	time	NOUN
sc-1145	363	68	locational	locational	ADJ
sc-1145	363	69	marginal	marginal	ADJ
sc-1145	363	70	price	price	NOUN
sc-1145	363	71	rt_ec(a8	rt_ec(a8	PROPN
sc-1145	363	72	)	)	PUNCT
sc-1145	363	73	energy	energy	NOUN
sc-1145	363	74	component	component	NOUN
sc-1145	363	75	of	of	ADP
sc-1145	363	76	real	real	ADJ
sc-1145	363	77	-	-	PUNCT
sc-1145	363	78	time	time	NOUN
sc-1145	363	79	rt_cc(a9	rt_cc(a9	NOUN
sc-1145	363	80	)	)	PUNCT
sc-1145	363	81	congestion	congestion	NOUN
sc-1145	363	82	component	component	NOUN
sc-1145	363	83	of	of	ADP
sc-1145	363	84	real	real	ADJ
sc-1145	363	85	-	-	PUNCT
sc-1145	363	86	time	time	NOUN
sc-1145	363	87	rt_mlc(a10	rt_mlc(a10	PROPN
sc-1145	363	88	)	)	PUNCT
sc-1145	363	89	marginal	marginal	ADJ
sc-1145	363	90	loss	loss	NOUN
sc-1145	363	91	component	component	NOUN
sc-1145	363	92	of	of	ADP
sc-1145	363	93	real	real	ADJ
sc-1145	363	94	-	-	PUNCT
sc-1145	363	95	time	time	NOUN
sc-1145	363	96	dry_bulb(a11	dry_bulb(a11	NOUN
sc-1145	363	97	)	)	PUNCT
sc-1145	363	98	dry	dry	ADJ
sc-1145	363	99	-	-	PUNCT
sc-1145	363	100	bulb	bulb	NOUN
sc-1145	363	101	temperature	temperature	NOUN
sc-1145	363	102	in	in	ADP
sc-1145	363	103	°	°	NOUN
sc-1145	363	104	f	f	NOUN
sc-1145	363	105	for	for	ADP
sc-1145	363	106	the	the	DET
sc-1145	363	107	weather	weather	NOUN
sc-1145	363	108	station	station	PROPN
sc-1145	363	109	dew_point(a12	dew_point(a12	PROPN
sc-1145	363	110	)	)	PUNCT
sc-1145	363	111	dewpoint	dewpoint	NOUN
sc-1145	363	112	temperature	temperature	NOUN
sc-1145	363	113	in	in	ADP
sc-1145	363	114	°	°	NOUN
sc-1145	363	115	f	f	NOUN
sc-1145	363	116	for	for	ADP
sc-1145	363	117	the	the	DET
sc-1145	363	118	weather	weather	NOUN
sc-1145	363	119	station	station	NOUN
sc-1145	363	120	reg_service_price(a13	reg_service_price(a13	NOUN
sc-1145	363	121	)	)	PUNCT
sc-1145	363	122	regulation	regulation	NOUN
sc-1145	363	123	market	market	NOUN
sc-1145	363	124	service	service	NOUN
sc-1145	363	125	clearing	clearing	NOUN
sc-1145	363	126	price	price	NOUN
sc-1145	363	127	reg_capacity_price	reg_capacity_price	NOUN
sc-1145	363	128	(	(	PUNCT
sc-1145	363	129	a14	a14	NOUN
sc-1145	363	130	)	)	PUNCT
sc-1145	363	131	regulation	regulation	NOUN
sc-1145	363	132	market	market	NOUN
sc-1145	363	133	capacity	capacity	NOUN
sc-1145	363	134	clearing	clearing	NOUN
sc-1145	363	135	price	price	NOUN
sc-1145	363	136	system_load(a15	system_load(a15	PROPN
sc-1145	363	137	)	)	PUNCT
sc-1145	363	138	real	real	ADJ
sc-1145	363	139	load	load	NOUN
sc-1145	363	140	corresponding	correspond	VERB
sc-1145	363	141	to	to	ADP
sc-1145	363	142	the	the	DET
sc-1145	363	143	energy	energy	NOUN
sc-1145	363	144	demands	demand	VERB
sc-1145	363	145	5.2	5.2	NUM
sc-1145	363	146	.	.	PUNCT
sc-1145	364	1	collecting	collect	VERB
sc-1145	364	2	of	of	ADP
sc-1145	364	3	data	datum	NOUN
sc-1145	364	4	the	the	DET
sc-1145	364	5	dataset	dataset	NOUN
sc-1145	364	6	is	be	AUX
sc-1145	364	7	collected	collect	VERB
sc-1145	364	8	from	from	ADP
sc-1145	364	9	of	of	ADP
sc-1145	364	10	nyiso	nyiso	NOUN
sc-1145	364	11	[	[	X
sc-1145	364	12	50	50	NUM
sc-1145	364	13	]	]	PUNCT
sc-1145	364	14	.	.	PUNCT
sc-1145	365	1	it	it	PRON
sc-1145	365	2	has	have	VERB
sc-1145	365	3	1096	1096	NUM
sc-1145	365	4	cases	case	NOUN
sc-1145	365	5	gathered	gather	VERB
sc-1145	365	6	day	day	NOUN
sc-1145	365	7	-	-	PUNCT
sc-1145	365	8	by	by	ADP
sc-1145	365	9	-	-	PUNCT
sc-1145	365	10	day	day	NOUN
sc-1145	365	11	during	during	ADP
sc-1145	365	12	two	two	NUM
sc-1145	365	13	years	year	NOUN
sc-1145	365	14	from	from	ADP
sc-1145	365	15	the	the	DET
sc-1145	365	16	first	first	ADJ
sc-1145	365	17	of	of	ADP
sc-1145	365	18	january	january	PROPN
sc-1145	365	19	2015	2015	NUM
sc-1145	365	20	to	to	ADP
sc-1145	365	21	the	the	DET
sc-1145	365	22	31	31	NUM
sc-1145	365	23	december	december	PROPN
sc-1145	365	24	2017	2017	NUM
sc-1145	365	25	.	.	PUNCT
sc-1145	366	1	it	it	PRON
sc-1145	366	2	concerns	concern	VERB
sc-1145	366	3	electrical	electrical	ADJ
sc-1145	366	4	consumption	consumption	NOUN
sc-1145	366	5	of	of	ADP
sc-1145	366	6	different	different	ADJ
sc-1145	366	7	appliances	appliance	NOUN
sc-1145	366	8	in	in	ADP
sc-1145	366	9	market	market	NOUN
sc-1145	366	10	buildings	building	NOUN
sc-1145	366	11	.	.	PUNCT
sc-1145	367	1	this	this	DET
sc-1145	367	2	dataset	dataset	NOUN
sc-1145	367	3	has	have	VERB
sc-1145	367	4	fourteen	fourteen	NUM
sc-1145	367	5	(	(	PUNCT
sc-1145	367	6	14	14	NUM
sc-1145	367	7	)	)	PUNCT
sc-1145	367	8	attributes	attribute	NOUN
sc-1145	367	9	(	(	PUNCT
sc-1145	367	10	a1	a1	NOUN
sc-1145	367	11	to	to	ADP
sc-1145	367	12	a14	a14	NOUN
sc-1145	367	13	)	)	PUNCT
sc-1145	367	14	required	require	VERB
sc-1145	367	15	for	for	ADP
sc-1145	367	16	assessing	assess	VERB
sc-1145	367	17	energy	energy	NOUN
sc-1145	367	18	load	load	NOUN
sc-1145	367	19	(	(	PUNCT
sc-1145	367	20	a15	a15	NOUN
sc-1145	367	21	)	)	PUNCT
sc-1145	367	22	,	,	PUNCT
sc-1145	367	23	which	which	PRON
sc-1145	367	24	is	be	AUX
sc-1145	367	25	the	the	DET
sc-1145	367	26	target	target	NOUN
sc-1145	367	27	variable	variable	NOUN
sc-1145	367	28	to	to	PART
sc-1145	367	29	forecast	forecast	VERB
sc-1145	367	30	.	.	PUNCT
sc-1145	368	1	they	they	PRON
sc-1145	368	2	are	be	AUX
sc-1145	368	3	described	describe	VERB
sc-1145	368	4	in	in	ADP
sc-1145	368	5	table	table	NOUN
sc-1145	368	6	3	3	NUM
sc-1145	368	7	.	.	PUNCT
sc-1145	368	8	table	table	NOUN
sc-1145	368	9	4	4	NUM
sc-1145	368	10	presents	present	VERB
sc-1145	368	11	the	the	DET
sc-1145	368	12	types	type	NOUN
sc-1145	368	13	of	of	ADP
sc-1145	368	14	attributes	attribute	NOUN
sc-1145	368	15	and	and	CCONJ
sc-1145	368	16	some	some	DET
sc-1145	368	17	descriptive	descriptive	ADJ
sc-1145	368	18	statistics	statistic	NOUN
sc-1145	368	19	such	such	ADJ
sc-1145	368	20	as	as	ADP
sc-1145	368	21	the	the	DET
sc-1145	368	22	minimum	minimum	NOUN
sc-1145	368	23	,	,	PUNCT
sc-1145	368	24	the	the	DET
sc-1145	368	25	maximum	maximum	ADJ
sc-1145	368	26	,	,	PUNCT
sc-1145	368	27	the	the	DET
sc-1145	368	28	mean	mean	NOUN
sc-1145	368	29	and	and	CCONJ
sc-1145	368	30	the	the	DET
sc-1145	368	31	standard	standard	ADJ
sc-1145	368	32	deviation	deviation	NOUN
sc-1145	368	33	of	of	ADP
sc-1145	368	34	each	each	DET
sc-1145	368	35	attribute	attribute	NOUN
sc-1145	368	36	.	.	PUNCT
sc-1145	369	1	figure	figure	NOUN
sc-1145	369	2	9	9	NUM
sc-1145	369	3	depicts	depict	VERB
sc-1145	369	4	the	the	DET
sc-1145	369	5	distribution	distribution	NOUN
sc-1145	369	6	of	of	ADP
sc-1145	369	7	the	the	DET
sc-1145	369	8	target	target	NOUN
sc-1145	369	9	variable	variable	NOUN
sc-1145	369	10	.	.	PUNCT
sc-1145	370	1	this	this	DET
sc-1145	370	2	figure	figure	NOUN
sc-1145	370	3	illustrates	illustrate	VERB
sc-1145	370	4	that	that	SCONJ
sc-1145	370	5	system_load	system_load	PROPN
sc-1145	370	6	follows	follow	VERB
sc-1145	370	7	a	a	DET
sc-1145	370	8	normal	normal	ADJ
sc-1145	370	9	distribution	distribution	NOUN
sc-1145	370	10	with	with	ADP
sc-1145	370	11	a	a	DET
sc-1145	370	12	skewness	skewness	NOUN
sc-1145	370	13	of	of	ADP
sc-1145	370	14	0.755	0.755	NUM
sc-1145	370	15	.	.	PUNCT
sc-1145	371	1	figure	figure	NOUN
sc-1145	371	2	9	9	NUM
sc-1145	371	3	.	.	PUNCT
sc-1145	372	1	distribution	distribution	NOUN
sc-1145	372	2	of	of	ADP
sc-1145	372	3	the	the	DET
sc-1145	372	4	system_load	system_load	PROPN
sc-1145	372	5	variable	variable	NOUN
sc-1145	372	6	5.3	5.3	NUM
sc-1145	372	7	.	.	PUNCT
sc-1145	373	1	application	application	NOUN
sc-1145	373	2	of	of	ADP
sc-1145	373	3	cable	cable	NOUN
sc-1145	373	4	this	this	DET
sc-1145	373	5	experiment	experiment	NOUN
sc-1145	373	6	focused	focus	VERB
sc-1145	373	7	on	on	ADP
sc-1145	373	8	applying	apply	VERB
sc-1145	373	9	cable	cable	NOUN
sc-1145	373	10	methodologies	methodology	NOUN
sc-1145	373	11	(	(	PUNCT
sc-1145	373	12	see	see	VERB
sc-1145	373	13	section	section	NOUN
sc-1145	373	14	4	4	NUM
sc-1145	373	15	)	)	PUNCT
sc-1145	373	16	on	on	ADP
sc-1145	373	17	the	the	DET
sc-1145	373	18	collected	collect	VERB
sc-1145	373	19	dataset	dataset	NOUN
sc-1145	373	20	.	.	PUNCT
sc-1145	374	1	the	the	DET
sc-1145	374	2	dataset	dataset	NOUN
sc-1145	374	3	has	have	AUX
sc-1145	374	4	been	be	AUX
sc-1145	374	5	splitted	splitte	VERB
sc-1145	374	6	into	into	ADP
sc-1145	374	7	training	training	NOUN
sc-1145	374	8	cases	case	NOUN
sc-1145	374	9	and	and	CCONJ
sc-1145	374	10	testing	testing	NOUN
sc-1145	374	11	cases	case	NOUN
sc-1145	374	12	such	such	ADJ
sc-1145	374	13	that	that	SCONJ
sc-1145	374	14	training	training	NOUN
sc-1145	374	15	possibly	possibly	ADV
sc-1145	374	16	belongs	belong	VERB
sc-1145	374	17	to	to	ADP
sc-1145	374	18	50	50	NUM
sc-1145	374	19	%	%	NOUN
sc-1145	374	20	,	,	PUNCT
sc-1145	374	21	55	55	NUM
sc-1145	374	22	%	%	NOUN
sc-1145	374	23	,	,	PUNCT
sc-1145	374	24	60	60	NUM
sc-1145	374	25	%	%	NOUN
sc-1145	374	26	,	,	PUNCT
sc-1145	374	27	65	65	NUM
sc-1145	374	28	%	%	NOUN
sc-1145	374	29	,	,	PUNCT
sc-1145	374	30	70	70	NUM
sc-1145	374	31	%	%	NOUN
sc-1145	374	32	,	,	PUNCT
sc-1145	374	33	75	75	NUM
sc-1145	374	34	%	%	NOUN
sc-1145	374	35	,	,	PUNCT
sc-1145	374	36	80	80	NUM
sc-1145	374	37	%	%	NOUN
sc-1145	374	38	,	,	PUNCT
sc-1145	374	39	85	85	NUM
sc-1145	374	40	%	%	NOUN
sc-1145	374	41	,	,	PUNCT
sc-1145	374	42	90	90	NUM
sc-1145	374	43	%	%	NOUN
sc-1145	374	44	,	,	PUNCT
sc-1145	374	45	95	95	NUM
sc-1145	374	46	%	%	NOUN
sc-1145	374	47	and	and	CCONJ
sc-1145	374	48	testing	testing	NOUN
sc-1145	374	49	is	be	AUX
sc-1145	374	50	100	100	NUM
sc-1145	374	51	%	%	NOUN
sc-1145	374	52	−	−	NOUN
sc-1145	374	53	x.	x.	NOUN
sc-1145	375	1	different	different	ADJ
sc-1145	375	2	experiments	experiment	NOUN
sc-1145	375	3	take	take	VERB
sc-1145	375	4	the	the	DET
sc-1145	375	5	training	training	NOUN
sc-1145	375	6	set	set	VERB
sc-1145	375	7	as	as	ADP
sc-1145	375	8	case	case	NOUN
sc-1145	375	9	base	base	NOUN
sc-1145	375	10	and	and	CCONJ
sc-1145	375	11	the	the	DET
sc-1145	375	12	testing	testing	NOUN
sc-1145	375	13	set	set	NOUN
sc-1145	375	14	includes	include	VERB
sc-1145	375	15	the	the	DET
sc-1145	375	16	query	query	NOUN
sc-1145	375	17	cases	case	NOUN
sc-1145	375	18	to	to	PART
sc-1145	375	19	estimate	estimate	VERB
sc-1145	375	20	solutions	solution	NOUN
sc-1145	375	21	.	.	PUNCT
sc-1145	376	1	the	the	DET
sc-1145	376	2	overall	overall	ADJ
sc-1145	376	3	aim	aim	NOUN
sc-1145	376	4	was	be	AUX
sc-1145	376	5	to	to	PART
sc-1145	376	6	estimate	estimate	VERB
sc-1145	376	7	the	the	DET
sc-1145	376	8	testing	testing	NOUN
sc-1145	376	9	solutions	solution	NOUN
sc-1145	376	10	through	through	ADP
sc-1145	376	11	cable	cable	NOUN
sc-1145	376	12	schemes	scheme	NOUN
sc-1145	376	13	and	and	CCONJ
sc-1145	376	14	to	to	PART
sc-1145	376	15	evaluate	evaluate	VERB
sc-1145	376	16	prediction	prediction	NOUN
sc-1145	376	17	performance	performance	NOUN
sc-1145	376	18	.	.	PUNCT
sc-1145	377	1	retrieve	retrieve	NOUN
sc-1145	377	2	.	.	PUNCT
sc-1145	378	1	table	table	NOUN
sc-1145	378	2	5	5	NUM
sc-1145	378	3	presents	present	VERB
sc-1145	378	4	an	an	DET
sc-1145	378	5	excerpt	excerpt	NOUN
sc-1145	378	6	of	of	ADP
sc-1145	378	7	the	the	DET
sc-1145	378	8	case	case	NOUN
sc-1145	378	9	base	base	NOUN
sc-1145	378	10	and	and	CCONJ
sc-1145	378	11	a	a	DET
sc-1145	378	12	new	new	ADJ
sc-1145	378	13	case	case	NOUN
sc-1145	378	14	.	.	PUNCT
sc-1145	379	1	as	as	SCONJ
sc-1145	379	2	presented	present	VERB
sc-1145	379	3	in	in	ADP
sc-1145	379	4	section	section	NOUN
sc-1145	379	5	4	4	NUM
sc-1145	379	6	,	,	PUNCT
sc-1145	379	7	this	this	DET
sc-1145	379	8	layer	layer	NOUN
sc-1145	379	9	aims	aim	VERB
sc-1145	379	10	to	to	PART
sc-1145	379	11	find	find	VERB
sc-1145	379	12	the	the	DET
sc-1145	379	13	most	most	ADV
sc-1145	379	14	similar	similar	ADJ
sc-1145	379	15	cases	case	NOUN
sc-1145	379	16	.	.	PUNCT
sc-1145	380	1	attributes	attribute	NOUN
sc-1145	380	2	are	be	AUX
sc-1145	380	3	weighting	weight	VERB
sc-1145	380	4	with	with	ADP
sc-1145	380	5	ahp	ahp	NOUN
sc-1145	380	6	based	base	VERB
sc-1145	380	7	on	on	ADP
sc-1145	380	8	10	10	NUM
sc-1145	380	9	surveyed	survey	VERB
sc-1145	380	10	experts	expert	NOUN
sc-1145	380	11	in	in	ADP
sc-1145	380	12	energy	energy	NOUN
sc-1145	380	13	domain	domain	NOUN
sc-1145	380	14	,	,	PUNCT
sc-1145	380	15	who	who	PRON
sc-1145	380	16	provided	provide	VERB
sc-1145	380	17	comparisons	comparison	NOUN
sc-1145	380	18	under	under	ADP
sc-1145	380	19	saaty	saaty	NOUN
sc-1145	380	20	’s	’s	PART
sc-1145	380	21	scale	scale	NOUN
sc-1145	380	22	.	.	PUNCT
sc-1145	381	1	based	base	VERB
sc-1145	381	2	on	on	ADP
sc-1145	381	3	the	the	DET
sc-1145	381	4	answers	answer	NOUN
sc-1145	381	5	from	from	ADP
sc-1145	381	6	expert	expert	NOUN
sc-1145	381	7	,	,	PUNCT
sc-1145	381	8	the	the	DET
sc-1145	381	9	following	follow	VERB
sc-1145	381	10	attribute	attribute	NOUN
sc-1145	381	11	weights	weight	NOUN
sc-1145	381	12	have	have	AUX
sc-1145	381	13	been	be	AUX
sc-1145	381	14	obtained	obtain	VERB
sc-1145	381	15	based	base	VERB
sc-1145	381	16	on	on	ADP
sc-1145	381	17	the	the	DET
sc-1145	381	18	methodology	methodology	NOUN
sc-1145	381	19	4.1	4.1	NUM
sc-1145	381	20	.	.	PUNCT
sc-1145	381	21	w1	w1	NOUN
sc-1145	381	22	=	=	SYM
sc-1145	381	23	0.185	0.185	NUM
sc-1145	381	24	,	,	PUNCT
sc-1145	381	25	w2	w2	NOUN
sc-1145	381	26	=	=	PUNCT
sc-1145	381	27	0.11	0.11	NUM
sc-1145	381	28	,	,	PUNCT
sc-1145	381	29	w3	w3	PROPN
sc-1145	381	30	=	=	SYM
sc-1145	381	31	0.14	0.14	NUM
sc-1145	381	32	,	,	PUNCT
sc-1145	381	33	w4	w4	NOUN
sc-1145	381	34	=	=	NOUN
sc-1145	381	35	0.090	0.090	NUM
sc-1145	381	36	,	,	PUNCT
sc-1145	381	37	w5	w5	PROPN
sc-1145	381	38	=	=	PUNCT
sc-1145	381	39	0.093	0.093	NUM
sc-1145	381	40	,	,	PUNCT
sc-1145	381	41	11	11	NUM
sc-1145	381	42	a	a	DET
sc-1145	381	43	case	case	NOUN
sc-1145	381	44	based	base	VERB
sc-1145	381	45	reasoning	reasoning	NOUN
sc-1145	381	46	coupling	couple	VERB
sc-1145	381	47	multi	multi	ADJ
sc-1145	381	48	-	-	ADJ
sc-1145	381	49	criteria	criterion	NOUN
sc-1145	381	50	decision	decision	NOUN
sc-1145	381	51	making	make	VERB
sc-1145	381	52	with	with	ADP
sc-1145	381	53	learning	learning	NOUN
sc-1145	381	54	and	and	CCONJ
sc-1145	381	55	optimization	optimization	NOUN
sc-1145	381	56	intelligences	intelligence	NOUN
sc-1145	381	57	:	:	PUNCT
sc-1145	381	58	application	application	NOUN
sc-1145	381	59	to	to	ADP
sc-1145	381	60	energy	energy	NOUN
sc-1145	381	61	consumption	consumption	NOUN
sc-1145	381	62	eai	eai	NOUN
sc-1145	381	63	endorsed	endorse	VERB
sc-1145	381	64	transactions	transaction	NOUN
sc-1145	381	65	on	on	ADP
sc-1145	381	66	smart	smart	ADJ
sc-1145	381	67	cities	city	NOUN
sc-1145	381	68	06	06	NUM
sc-1145	381	69	2018	2018	NUM
sc-1145	381	70	02	02	NUM
sc-1145	381	71	2020	2020	NUM
sc-1145	381	72	|	|	ADV
sc-1145	381	73	volume	volume	NOUN
sc-1145	381	74	4	4	NUM
sc-1145	382	1	|	|	NOUN
sc-1145	382	2	issue	issue	VERB
sc-1145	382	3	9	9	NUM
sc-1145	382	4	|	|	CCONJ
sc-1145	382	5	e4	e4	PROPN
sc-1145	382	6	table	table	NOUN
sc-1145	382	7	4	4	NUM
sc-1145	382	8	.	.	PUNCT
sc-1145	382	9	data	datum	NOUN
sc-1145	382	10	types	type	NOUN
sc-1145	382	11	and	and	CCONJ
sc-1145	382	12	descriptive	descriptive	ADJ
sc-1145	382	13	statistics	statistic	NOUN
sc-1145	382	14	type	type	NOUN
sc-1145	382	15	min	min	PROPN
sc-1145	382	16	max	max	PROPN
sc-1145	382	17	mean	mean	VERB
sc-1145	382	18	standard	standard	ADJ
sc-1145	382	19	deviation	deviation	NOUN
sc-1145	382	20	da_cc	da_cc	PROPN
sc-1145	382	21	continuous	continuous	ADJ
sc-1145	382	22	-29	-29	PROPN
sc-1145	382	23	2	2	NUM
sc-1145	382	24	-0.221	-0.221	NUM
sc-1145	382	25	1.436	1.436	NUM
sc-1145	382	26	da_demand	da_demand	CCONJ
sc-1145	382	27	continuous	continuous	ADJ
sc-1145	382	28	11419	11419	NUM
sc-1145	382	29	22928	22928	NUM
sc-1145	383	1	15718.270	15718.270	NUM
sc-1145	383	2	1987.782	1987.782	NUM
sc-1145	383	3	da_ec	da_ec	PROPN
sc-1145	383	4	continuous	continuous	ADJ
sc-1145	383	5	10	10	NUM
sc-1145	383	6	241	241	NUM
sc-1145	383	7	44.06204380	44.06204380	NUM
sc-1145	383	8	28.139	28.139	NUM
sc-1145	383	9	da_lmp	da_lmp	NOUN
sc-1145	383	10	continuous	continuous	ADJ
sc-1145	383	11	10	10	NUM
sc-1145	383	12	242.00	242.00	NUM
sc-1145	383	13	44.032	44.032	NUM
sc-1145	383	14	28.405	28.405	NUM
sc-1145	383	15	da_mlc	da_mlc	NOUN
sc-1145	383	16	continuous	continuous	ADJ
sc-1145	383	17	0.00	0.00	NUM
sc-1145	383	18	3.000	3.000	NUM
sc-1145	383	19	0.120	0.120	NUM
sc-1145	383	20	0.375	0.375	NUM
sc-1145	383	21	dew_point	dew_point	NOUN
sc-1145	383	22	continuous	continuous	ADJ
sc-1145	383	23	-17.00	-17.00	PROPN
sc-1145	383	24	74.00	74.00	NUM
sc-1145	383	25	38.917	38.917	NUM
sc-1145	383	26	19.592	19.592	NUM
sc-1145	383	27	dry_bulb	dry_bulb	NOUN
sc-1145	383	28	continuous	continuous	ADJ
sc-1145	383	29	1.00	1.00	NUM
sc-1145	383	30	90.00	90.00	NUM
sc-1145	383	31	53.683	53.683	NUM
sc-1145	383	32	19.399	19.399	NUM
sc-1145	383	33	reg_capacity_price	reg_capacity_price	NOUN
sc-1145	383	34	continuous	continuous	ADJ
sc-1145	383	35	0.00	0.00	NUM
sc-1145	383	36	435.00	435.00	NUM
sc-1145	383	37	22.977	22.977	NUM
sc-1145	383	38	34.652	34.652	NUM
sc-1145	383	39	reg_service_price	reg_service_price	NOUN
sc-1145	383	40	continuous	continuous	ADJ
sc-1145	383	41	0.00	0.00	NUM
sc-1145	383	42	10.00	10.00	NUM
sc-1145	383	43	0.498	0.498	NUM
sc-1145	383	44	1.750	1.750	NUM
sc-1145	383	45	rt_cc	rt_cc	ADJ
sc-1145	383	46	continuous	continuous	ADJ
sc-1145	383	47	-15.00	-15.00	PROPN
sc-1145	383	48	23.00	23.00	NUM
sc-1145	383	49	0.029	0.029	NUM
sc-1145	383	50	1.758	1.758	NUM
sc-1145	383	51	rt_demand	rt_demand	ADP
sc-1145	383	52	continuous	continuous	ADJ
sc-1145	383	53	11955	11955	NUM
sc-1145	383	54	23633	23633	NUM
sc-1145	383	55	16020.553	16020.553	NUM
sc-1145	383	56	2082.461	2082.461	NUM
sc-1145	383	57	rt_ec	rt_ec	PROPN
sc-1145	383	58	continuous	continuous	ADJ
sc-1145	383	59	0.00	0.00	NUM
sc-1145	383	60	334.00	334.00	NUM
sc-1145	383	61	42.283	42.283	NUM
sc-1145	383	62	33.008	33.008	NUM
sc-1145	383	63	rt_lmp	rt_lmp	VERB
sc-1145	383	64	continuous	continuous	ADJ
sc-1145	383	65	0.00	0.00	NUM
sc-1145	383	66	336.00	336.00	NUM
sc-1145	383	67	42.486	42.486	NUM
sc-1145	383	68	33.536	33.536	NUM
sc-1145	383	69	rt_mlc	rt_mlc	NOUN
sc-1145	383	70	continuous	continuous	ADJ
sc-1145	383	71	-1.00	-1.00	NUM
sc-1145	383	72	3.00	3.00	NUM
sc-1145	383	73	0.108	0.108	NUM
sc-1145	383	74	0.360	0.360	NUM
sc-1145	383	75	system_load	system_load	NOUN
sc-1145	383	76	continuous	continuous	ADJ
sc-1145	383	77	12167	12167	NUM
sc-1145	383	78	23970	23970	NUM
sc-1145	383	79	16264.166	16264.166	NUM
sc-1145	383	80	2112.897	2112.897	NUM
sc-1145	383	81	table	table	NOUN
sc-1145	383	82	5	5	NUM
sc-1145	383	83	.	.	PUNCT
sc-1145	383	84	case	case	NOUN
sc-1145	383	85	base	base	NOUN
sc-1145	383	86	representation	representation	NOUN
sc-1145	383	87	attributes	attribute	VERB
sc-1145	383	88	a1	a1	NOUN
sc-1145	383	89	a2	a2	PROPN
sc-1145	383	90	a3	a3	PROPN
sc-1145	383	91	a4	a4	PROPN
sc-1145	383	92	a5	a5	PROPN
sc-1145	383	93	a6	a6	NOUN
sc-1145	383	94	a7	a7	PROPN
sc-1145	383	95	a8	a8	PROPN
sc-1145	383	96	a9	a9	PROPN
sc-1145	383	97	a10	a10	PROPN
sc-1145	383	98	a11	a11	PROPN
sc-1145	383	99	a12	a12	PROPN
sc-1145	383	100	a13	a13	PROPN
sc-1145	383	101	a14	a14	PROPN
sc-1145	383	102	solution	solution	NOUN
sc-1145	383	103	weights	weight	VERB
sc-1145	383	104	0.185	0.185	NUM
sc-1145	383	105	0.11	0.11	NUM
sc-1145	383	106	0.14	0.14	NUM
sc-1145	383	107	0.090	0.090	NUM
sc-1145	383	108	0.093	0.093	NUM
sc-1145	383	109	0.057	0.057	NUM
sc-1145	383	110	0.048	0.048	NUM
sc-1145	383	111	0.056	0.056	NUM
sc-1145	383	112	0.049	0.049	NUM
sc-1145	383	113	0.044	0.044	NUM
sc-1145	383	114	0.043	0.043	NUM
sc-1145	383	115	0.036	0.036	NUM
sc-1145	383	116	0.024	0.024	NUM
sc-1145	383	117	0.015	0.015	NUM
sc-1145	383	118	case	case	NOUN
sc-1145	383	119	1	1	NUM
sc-1145	383	120	16679	16679	NUM
sc-1145	383	121	16391	16391	NUM
sc-1145	383	122	63	63	NUM
sc-1145	383	123	62	62	NUM
sc-1145	383	124	0	0	NUM
sc-1145	383	125	1	1	NUM
sc-1145	383	126	45	45	NUM
sc-1145	383	127	45	45	NUM
sc-1145	383	128	0	0	NUM
sc-1145	383	129	0	0	NUM
sc-1145	383	130	30	30	NUM
sc-1145	383	131	9	9	NUM
sc-1145	383	132	6	6	NUM
sc-1145	383	133	0	0	NUM
sc-1145	383	134	16688	16688	NUM
sc-1145	383	135	case	case	NOUN
sc-1145	383	136	2	2	NUM
sc-1145	383	137	16924	16924	NUM
sc-1145	383	138	16649	16649	NUM
sc-1145	383	139	57	57	NUM
sc-1145	383	140	56	56	NUM
sc-1145	383	141	0	0	NUM
sc-1145	383	142	1	1	NUM
sc-1145	383	143	22	22	NUM
sc-1145	383	144	22	22	NUM
sc-1145	383	145	0	0	NUM
sc-1145	383	146	0	0	NUM
sc-1145	383	147	31	31	NUM
sc-1145	383	148	15	15	NUM
sc-1145	383	149	7	7	NUM
sc-1145	383	150	0	0	NUM
sc-1145	383	151	16934	16934	NUM
sc-1145	383	152	case	case	NOUN
sc-1145	383	153	3	3	NUM
sc-1145	383	154	15999	15999	NUM
sc-1145	383	155	16624	16624	NUM
sc-1145	383	156	53	53	NUM
sc-1145	383	157	52	52	NUM
sc-1145	383	158	0	0	NUM
sc-1145	383	159	0	0	NUM
sc-1145	383	160	58	58	NUM
sc-1145	383	161	58	58	NUM
sc-1145	383	162	0	0	NUM
sc-1145	383	163	1	1	NUM
sc-1145	383	164	27	27	NUM
sc-1145	383	165	25	25	NUM
sc-1145	383	166	12	12	NUM
sc-1145	383	167	1	1	NUM
sc-1145	383	168	16958	16958	NUM
sc-1145	383	169	case	case	NOUN
sc-1145	383	170	4	4	NUM
sc-1145	383	171	14404	14404	NUM
sc-1145	383	172	15765	15765	NUM
sc-1145	383	173	41	41	NUM
sc-1145	383	174	40	40	NUM
sc-1145	383	175	0	0	NUM
sc-1145	383	176	0	0	NUM
sc-1145	383	177	77	77	NUM
sc-1145	383	178	76	76	NUM
sc-1145	383	179	0	0	NUM
sc-1145	383	180	1	1	NUM
sc-1145	383	181	41	41	NUM
sc-1145	383	182	40	40	NUM
sc-1145	383	183	21	21	NUM
sc-1145	383	184	1	1	NUM
sc-1145	383	185	16058	16058	NUM
sc-1145	383	186	case	case	NOUN
sc-1145	383	187	5	5	NUM
sc-1145	383	188	18036	18036	NUM
sc-1145	383	189	18557	18557	NUM
sc-1145	383	190	83	83	NUM
sc-1145	383	191	82	82	NUM
sc-1145	383	192	0	0	NUM
sc-1145	383	193	1	1	NUM
sc-1145	383	194	103	103	NUM
sc-1145	383	195	111	111	NUM
sc-1145	383	196	0	0	NUM
sc-1145	383	197	1	1	NUM
sc-1145	383	198	19	19	NUM
sc-1145	383	199	30	30	NUM
sc-1145	383	200	25	25	NUM
sc-1145	383	201	3	3	NUM
sc-1145	383	202	18867	18867	NUM
sc-1145	383	203	case	case	NOUN
sc-1145	383	204	6	6	NUM
sc-1145	383	205	18504	18504	NUM
sc-1145	383	206	19259	19259	NUM
sc-1145	383	207	82	82	NUM
sc-1145	383	208	82	82	NUM
sc-1145	383	209	0	0	NUM
sc-1145	383	210	1	1	NUM
sc-1145	383	211	130	130	NUM
sc-1145	383	212	130	130	NUM
sc-1145	383	213	0	0	NUM
sc-1145	383	214	1	1	NUM
sc-1145	383	215	15	15	NUM
sc-1145	383	216	10	10	NUM
sc-1145	383	217	28	28	NUM
sc-1145	383	218	0	0	NUM
sc-1145	383	219	19554	19554	NUM
sc-1145	383	220	case	case	NOUN
sc-1145	383	221	7	7	NUM
sc-1145	383	222	19409	19409	NUM
sc-1145	383	223	19883	19883	NUM
sc-1145	383	224	115	115	NUM
sc-1145	383	225	114	114	NUM
sc-1145	383	226	0	0	NUM
sc-1145	383	227	1	1	NUM
sc-1145	383	228	127	127	NUM
sc-1145	383	229	126	126	NUM
sc-1145	383	230	0	0	NUM
sc-1145	383	231	1	1	NUM
sc-1145	383	232	10	10	NUM
sc-1145	383	233	20	20	NUM
sc-1145	383	234	24	24	NUM
sc-1145	383	235	0	0	NUM
sc-1145	383	236	20159	20159	NUM
sc-1145	383	237	new	new	ADJ
sc-1145	383	238	case	case	NOUN
sc-1145	383	239	18602	18602	NUM
sc-1145	383	240	19901	19901	NUM
sc-1145	383	241	81	81	NUM
sc-1145	383	242	82	82	NUM
sc-1145	383	243	0	0	NUM
sc-1145	383	244	1	1	NUM
sc-1145	383	245	99	99	NUM
sc-1145	383	246	114	114	NUM
sc-1145	383	247	0	0	NUM
sc-1145	383	248	1	1	NUM
sc-1145	383	249	18	18	NUM
sc-1145	383	250	25	25	NUM
sc-1145	383	251	26	26	NUM
sc-1145	383	252	2	2	NUM
sc-1145	383	253	w6	w6	PROPN
sc-1145	383	254	=	=	NOUN
sc-1145	383	255	0.057	0.057	NUM
sc-1145	383	256	,	,	PUNCT
sc-1145	383	257	w7	w7	ADJ
sc-1145	383	258	=	=	NOUN
sc-1145	383	259	0.048	0.048	NUM
sc-1145	383	260	,	,	PUNCT
sc-1145	383	261	w8	w8	PROPN
sc-1145	383	262	=	=	PROPN
sc-1145	383	263	0.056	0.056	NUM
sc-1145	383	264	,	,	PUNCT
sc-1145	383	265	w9	w9	PROPN
sc-1145	383	266	=	=	PUNCT
sc-1145	383	267	0.049	0.049	NUM
sc-1145	383	268	,	,	PUNCT
sc-1145	383	269	w10	w10	PROPN
sc-1145	383	270	=	=	NOUN
sc-1145	383	271	0.044	0.044	NUM
sc-1145	383	272	,	,	PUNCT
sc-1145	383	273	w11	w11	PROPN
sc-1145	383	274	=	=	SYM
sc-1145	383	275	0.043	0.043	NUM
sc-1145	383	276	,	,	PUNCT
sc-1145	383	277	w12	w12	NOUN
sc-1145	383	278	=	=	PUNCT
sc-1145	383	279	0.036	0.036	NUM
sc-1145	383	280	,	,	PUNCT
sc-1145	383	281	w13	w13	PROPN
sc-1145	383	282	=	=	SYM
sc-1145	383	283	0.024	0.024	NUM
sc-1145	383	284	,	,	PUNCT
sc-1145	383	285	w14	w14	PROPN
sc-1145	383	286	=	=	SYM
sc-1145	383	287	0	0	NUM
sc-1145	383	288	,	,	PUNCT
sc-1145	383	289	015	015	NUM
sc-1145	383	290	the	the	DET
sc-1145	383	291	adapted	adapted	ADJ
sc-1145	383	292	cosine	cosine	NOUN
sc-1145	383	293	provides	provide	VERB
sc-1145	383	294	the	the	DET
sc-1145	383	295	similarity	similarity	NOUN
sc-1145	383	296	results	result	NOUN
sc-1145	383	297	depicted	depict	VERB
sc-1145	383	298	in	in	ADP
sc-1145	383	299	table	table	NOUN
sc-1145	383	300	6	6	NUM
sc-1145	383	301	.	.	PUNCT
sc-1145	383	302	table	table	NOUN
sc-1145	383	303	6	6	NUM
sc-1145	383	304	.	.	PUNCT
sc-1145	384	1	similarity	similarity	NOUN
sc-1145	384	2	results	result	NOUN
sc-1145	384	3	cases	case	VERB
sc-1145	384	4	cosine	cosine	NOUN
sc-1145	384	5	values	value	NOUN
sc-1145	384	6	case	case	NOUN
sc-1145	384	7	1	1	NUM
sc-1145	384	8	0.63	0.63	NUM
sc-1145	384	9	case	case	NOUN
sc-1145	384	10	2	2	NUM
sc-1145	384	11	0.71	0.71	NUM
sc-1145	384	12	case	case	NOUN
sc-1145	384	13	3	3	NUM
sc-1145	384	14	0.52	0.52	NUM
sc-1145	384	15	case	case	NOUN
sc-1145	384	16	4	4	NUM
sc-1145	384	17	0.48	0.48	NUM
sc-1145	384	18	case	case	NOUN
sc-1145	384	19	5	5	NUM
sc-1145	384	20	0.900	0.900	NUM
sc-1145	384	21	case	case	NOUN
sc-1145	384	22	6	6	NUM
sc-1145	384	23	0.911	0.911	NUM
sc-1145	384	24	case	case	NOUN
sc-1145	384	25	7	7	NUM
sc-1145	384	26	0.902	0.902	NUM
sc-1145	384	27	next	next	ADV
sc-1145	384	28	,	,	PUNCT
sc-1145	384	29	the	the	DET
sc-1145	384	30	optimal	optimal	ADJ
sc-1145	384	31	threshold	threshold	NOUN
sc-1145	384	32	is	be	AUX
sc-1145	384	33	selected	select	VERB
sc-1145	384	34	to	to	PART
sc-1145	384	35	provide	provide	VERB
sc-1145	384	36	the	the	DET
sc-1145	384	37	best	good	ADJ
sc-1145	384	38	similar	similar	ADJ
sc-1145	384	39	cases	case	NOUN
sc-1145	384	40	.	.	PUNCT
sc-1145	385	1	for	for	ADP
sc-1145	385	2	that	that	PRON
sc-1145	385	3	,	,	PUNCT
sc-1145	385	4	the	the	DET
sc-1145	385	5	following	follow	VERB
sc-1145	385	6	steps	step	NOUN
sc-1145	385	7	are	be	AUX
sc-1145	385	8	executed	execute	VERB
sc-1145	385	9	while	while	SCONJ
sc-1145	385	10	looping	loop	VERB
sc-1145	385	11	from	from	ADP
sc-1145	385	12	0.1	0.1	NUM
sc-1145	385	13	to	to	ADP
sc-1145	385	14	0.9	0.9	NUM
sc-1145	385	15	with	with	ADP
sc-1145	385	16	a	a	DET
sc-1145	385	17	pace	pace	NOUN
sc-1145	385	18	of	of	ADP
sc-1145	385	19	0.1	0.1	NUM
sc-1145	385	20	.	.	PUNCT
sc-1145	386	1	step	step	NOUN
sc-1145	386	2	1	1	NUM
sc-1145	386	3	k	k	NOUN
sc-1145	386	4	-	-	PUNCT
sc-1145	386	5	means	means	NOUN
sc-1145	386	6	is	be	AUX
sc-1145	386	7	used	use	VERB
sc-1145	386	8	then	then	ADV
sc-1145	386	9	to	to	PART
sc-1145	386	10	form	form	VERB
sc-1145	386	11	the	the	DET
sc-1145	386	12	clusters	cluster	NOUN
sc-1145	386	13	provided	provide	VERB
sc-1145	386	14	in	in	ADP
sc-1145	386	15	table	table	NOUN
sc-1145	386	16	7	7	NUM
sc-1145	386	17	.	.	PUNCT
sc-1145	386	18	step	step	NOUN
sc-1145	386	19	2	2	NUM
sc-1145	386	20	k	k	X
sc-1145	386	21	-	-	PUNCT
sc-1145	386	22	nn	nn	PROPN
sc-1145	386	23	classifies	classify	VERB
sc-1145	386	24	the	the	DET
sc-1145	386	25	new	new	ADJ
sc-1145	386	26	case	case	NOUN
sc-1145	386	27	in	in	ADP
sc-1145	386	28	different	different	ADJ
sc-1145	386	29	classes	class	NOUN
sc-1145	386	30	.	.	PUNCT
sc-1145	387	1	for	for	ADP
sc-1145	387	2	every	every	DET
sc-1145	387	3	alpha	alpha	NOUN
sc-1145	387	4	,	,	PUNCT
sc-1145	387	5	k	k	PROPN
sc-1145	387	6	-	-	PUNCT
sc-1145	387	7	nn	nn	PROPN
sc-1145	387	8	selects	select	NOUN
sc-1145	387	9	the	the	DET
sc-1145	387	10	class	class	NOUN
sc-1145	387	11	{	{	PUNCT
sc-1145	387	12	5,6,7	5,6,7	NOUN
sc-1145	387	13	}	}	PUNCT
sc-1145	387	14	to	to	PART
sc-1145	387	15	assign	assign	VERB
sc-1145	387	16	the	the	DET
sc-1145	387	17	new	new	ADJ
sc-1145	387	18	case	case	NOUN
sc-1145	387	19	.	.	PUNCT
sc-1145	388	1	case	case	NOUN
sc-1145	388	2	5	5	NUM
sc-1145	388	3	,	,	PUNCT
sc-1145	388	4	case	case	NOUN
sc-1145	388	5	6	6	NUM
sc-1145	388	6	and	and	CCONJ
sc-1145	388	7	case	case	NOUN
sc-1145	388	8	7	7	NUM
sc-1145	388	9	are	be	AUX
sc-1145	388	10	the	the	DET
sc-1145	388	11	best	good	ADJ
sc-1145	388	12	similar	similar	ADJ
sc-1145	388	13	cases	case	NOUN
sc-1145	388	14	to	to	PART
sc-1145	388	15	be	be	AUX
sc-1145	388	16	retrieved	retrieve	VERB
sc-1145	388	17	.	.	PUNCT
sc-1145	389	1	an	an	DET
sc-1145	389	2	experiment	experiment	NOUN
sc-1145	389	3	has	have	AUX
sc-1145	389	4	been	be	AUX
sc-1145	389	5	realized	realize	VERB
sc-1145	389	6	on	on	ADP
sc-1145	389	7	different	different	ADJ
sc-1145	389	8	dataset	dataset	NOUN
sc-1145	389	9	splitting	splitting	NOUN
sc-1145	389	10	to	to	PART
sc-1145	389	11	examine	examine	VERB
sc-1145	389	12	similarity	similarity	NOUN
sc-1145	389	13	trends	trend	NOUN
sc-1145	389	14	.	.	PUNCT
sc-1145	390	1	for	for	ADP
sc-1145	390	2	each	each	DET
sc-1145	390	3	splitting	splitting	NOUN
sc-1145	390	4	,	,	PUNCT
sc-1145	390	5	the	the	DET
sc-1145	390	6	most	most	ADV
sc-1145	390	7	similar	similar	ADJ
sc-1145	390	8	cases	case	NOUN
sc-1145	390	9	are	be	AUX
sc-1145	390	10	obtained	obtain	VERB
sc-1145	390	11	as	as	ADP
sc-1145	390	12	previously	previously	ADV
sc-1145	390	13	presented	present	VERB
sc-1145	390	14	and	and	CCONJ
sc-1145	390	15	then	then	ADV
sc-1145	390	16	the	the	DET
sc-1145	390	17	average	average	NOUN
sc-1145	390	18	between	between	ADP
sc-1145	390	19	their	their	PRON
sc-1145	390	20	similarity	similarity	NOUN
sc-1145	390	21	measures	measure	NOUN
sc-1145	390	22	is	be	AUX
sc-1145	390	23	calculated	calculate	VERB
sc-1145	390	24	.	.	PUNCT
sc-1145	391	1	as	as	SCONJ
sc-1145	391	2	presented	present	VERB
sc-1145	391	3	in	in	ADP
sc-1145	391	4	table	table	NOUN
sc-1145	391	5	8	8	NUM
sc-1145	391	6	,	,	PUNCT
sc-1145	391	7	the	the	DET
sc-1145	391	8	overall	overall	ADJ
sc-1145	391	9	similarity	similarity	NOUN
sc-1145	391	10	scores	score	NOUN
sc-1145	391	11	ranged	range	VERB
sc-1145	391	12	from	from	ADP
sc-1145	391	13	approximately	approximately	ADV
sc-1145	391	14	70	70	NUM
sc-1145	391	15	%	%	NOUN
sc-1145	391	16	to	to	PART
sc-1145	391	17	91	91	NUM
sc-1145	391	18	%	%	NOUN
sc-1145	391	19	.	.	PUNCT
sc-1145	392	1	these	these	DET
sc-1145	392	2	similarities	similarity	NOUN
sc-1145	392	3	show	show	VERB
sc-1145	392	4	that	that	SCONJ
sc-1145	392	5	cases	case	NOUN
sc-1145	392	6	similar	similar	ADJ
sc-1145	392	7	to	to	ADP
sc-1145	392	8	the	the	DET
sc-1145	392	9	given	give	VERB
sc-1145	392	10	case	case	NOUN
sc-1145	392	11	were	be	AUX
sc-1145	392	12	extracted	extract	VERB
sc-1145	392	13	with	with	ADP
sc-1145	392	14	a	a	DET
sc-1145	392	15	similarity	similarity	NOUN
sc-1145	392	16	of	of	ADP
sc-1145	392	17	approximately	approximately	ADV
sc-1145	392	18	80.5	80.5	NUM
sc-1145	392	19	%	%	NOUN
sc-1145	392	20	,	,	PUNCT
sc-1145	392	21	which	which	PRON
sc-1145	392	22	ensures	ensure	VERB
sc-1145	392	23	the	the	DET
sc-1145	392	24	reliability	reliability	NOUN
sc-1145	392	25	of	of	ADP
sc-1145	392	26	the	the	DET
sc-1145	392	27	retrieved	retrieve	VERB
sc-1145	392	28	cases	case	NOUN
sc-1145	392	29	for	for	ADP
sc-1145	392	30	prediction	prediction	NOUN
sc-1145	392	31	.	.	PUNCT
sc-1145	393	1	furthermore	furthermore	ADV
sc-1145	393	2	,	,	PUNCT
sc-1145	393	3	the	the	DET
sc-1145	393	4	subdivision	subdivision	NOUN
sc-1145	393	5	(	(	PUNCT
sc-1145	393	6	75	75	NUM
sc-1145	393	7	%	%	NOUN
sc-1145	393	8	,	,	PUNCT
sc-1145	393	9	25	25	NUM
sc-1145	393	10	%	%	NOUN
sc-1145	393	11	)	)	PUNCT
sc-1145	393	12	seems	seem	VERB
sc-1145	393	13	to	to	PART
sc-1145	393	14	provide	provide	VERB
sc-1145	393	15	consistent	consistent	ADJ
sc-1145	393	16	retrieval	retrieval	NOUN
sc-1145	393	17	.	.	PUNCT
sc-1145	394	1	reuse	reuse	NOUN
sc-1145	394	2	.	.	PUNCT
sc-1145	395	1	experiments	experiment	NOUN
sc-1145	395	2	here	here	ADV
sc-1145	395	3	were	be	AUX
sc-1145	395	4	achieved	achieve	VERB
sc-1145	395	5	based	base	VERB
sc-1145	395	6	on	on	ADP
sc-1145	395	7	the	the	DET
sc-1145	395	8	dataset	dataset	NOUN
sc-1145	395	9	subdivision	subdivision	NOUN
sc-1145	395	10	(	(	PUNCT
sc-1145	395	11	75	75	NUM
sc-1145	395	12	%	%	NOUN
sc-1145	395	13	,	,	PUNCT
sc-1145	395	14	25	25	NUM
sc-1145	395	15	%	%	NOUN
sc-1145	395	16	)	)	PUNCT
sc-1145	395	17	because	because	SCONJ
sc-1145	395	18	it	it	PRON
sc-1145	395	19	provided	provide	VERB
sc-1145	395	20	best	good	ADJ
sc-1145	395	21	similarity	similarity	NOUN
sc-1145	395	22	values	value	NOUN
sc-1145	395	23	(	(	PUNCT
sc-1145	395	24	see	see	VERB
sc-1145	395	25	table	table	NOUN
sc-1145	395	26	8)	8)	NUM
sc-1145	395	27	,	,	PUNCT
sc-1145	395	28	therefore	therefore	ADV
sc-1145	395	29	optimal	optimal	ADJ
sc-1145	395	30	retrieved	retrieve	VERB
sc-1145	395	31	cases	case	NOUN
sc-1145	395	32	.	.	PUNCT
sc-1145	396	1	reuse	reuse	NOUN
sc-1145	396	2	can	can	AUX
sc-1145	396	3	be	be	AUX
sc-1145	396	4	performed	perform	VERB
sc-1145	396	5	by	by	ADP
sc-1145	396	6	copying	copy	VERB
sc-1145	396	7	solution	solution	NOUN
sc-1145	396	8	values	value	NOUN
sc-1145	396	9	from	from	ADP
sc-1145	396	10	the	the	DET
sc-1145	396	11	retrieved	retrieve	VERB
sc-1145	396	12	cases	case	NOUN
sc-1145	396	13	or	or	CCONJ
sc-1145	396	14	by	by	ADP
sc-1145	396	15	adapting	adapt	VERB
sc-1145	396	16	historical	historical	ADJ
sc-1145	396	17	cases	case	NOUN
sc-1145	396	18	with	with	ADP
sc-1145	396	19	a	a	DET
sc-1145	396	20	mathematical	mathematical	ADJ
sc-1145	396	21	function	function	NOUN
sc-1145	396	22	.	.	PUNCT
sc-1145	397	1	two	two	NUM
sc-1145	397	2	procedures	procedure	NOUN
sc-1145	397	3	has	have	AUX
sc-1145	397	4	been	be	AUX
sc-1145	397	5	used	use	VERB
sc-1145	397	6	to	to	PART
sc-1145	397	7	identify	identify	VERB
sc-1145	397	8	which	which	DET
sc-1145	397	9	one	one	PRON
sc-1145	397	10	fits	fit	VERB
sc-1145	397	11	the	the	DET
sc-1145	397	12	best	good	ADJ
sc-1145	397	13	to	to	ADP
sc-1145	397	14	the	the	DET
sc-1145	397	15	problem	problem	NOUN
sc-1145	397	16	,	,	PUNCT
sc-1145	397	17	adapting	adapt	VERB
sc-1145	397	18	and	and	CCONJ
sc-1145	397	19	copying	copying	NOUN
sc-1145	397	20	.	.	PUNCT
sc-1145	398	1	12	12	NUM
sc-1145	398	2	naomi	naomi	NOUN
sc-1145	398	3	dassi	dassi	PROPN
sc-1145	398	4	tchomté	tchomté	PROPN
sc-1145	398	5	et	et	PROPN
sc-1145	398	6	al	al	PROPN
sc-1145	398	7	.	.	PUNCT
sc-1145	399	1	eai	eai	PROPN
sc-1145	399	2	endorsed	endorse	VERB
sc-1145	399	3	transactions	transaction	NOUN
sc-1145	399	4	on	on	ADP
sc-1145	399	5	smart	smart	ADJ
sc-1145	399	6	cities	city	NOUN
sc-1145	399	7	06	06	NUM
sc-1145	399	8	2018	2018	NUM
sc-1145	399	9	02	02	NUM
sc-1145	399	10	2020	2020	NUM
sc-1145	399	11	|	|	ADV
sc-1145	399	12	volume	volume	NOUN
sc-1145	399	13	4	4	NUM
sc-1145	399	14	|	|	NOUN
sc-1145	399	15	issue	issue	VERB
sc-1145	399	16	9	9	NUM
sc-1145	399	17	|	|	CCONJ
sc-1145	399	18	e4	e4	PROPN
sc-1145	399	19	table	table	NOUN
sc-1145	399	20	7	7	NUM
sc-1145	399	21	.	.	PUNCT
sc-1145	400	1	k	k	X
sc-1145	400	2	-	-	PUNCT
sc-1145	400	3	means	mean	VERB
sc-1145	400	4	clustering	cluster	VERB
sc-1145	400	5	alpha	alpha	NOUN
sc-1145	400	6	cases	case	NOUN
sc-1145	400	7	clusters	cluster	NOUN
sc-1145	400	8	0.1	0.1	NUM
sc-1145	400	9	empty	empty	ADJ
sc-1145	400	10	empty	empty	ADJ
sc-1145	400	11	0.2	0.2	NUM
sc-1145	400	12	empty	empty	ADJ
sc-1145	400	13	empty	empty	ADJ
sc-1145	400	14	0.3	0.3	NUM
sc-1145	400	15	empty	empty	ADJ
sc-1145	400	16	empty	empty	ADJ
sc-1145	400	17	0.4	0.4	NUM
sc-1145	400	18	case	case	NOUN
sc-1145	400	19	1	1	NUM
sc-1145	400	20	,	,	PUNCT
sc-1145	400	21	case	case	NOUN
sc-1145	400	22	2	2	NUM
sc-1145	400	23	,	,	PUNCT
sc-1145	400	24	case	case	NOUN
sc-1145	400	25	3	3	NUM
sc-1145	400	26	,	,	PUNCT
sc-1145	400	27	case	case	NOUN
sc-1145	400	28	4	4	NUM
sc-1145	400	29	,	,	PUNCT
sc-1145	400	30	case	case	NOUN
sc-1145	400	31	5	5	NUM
sc-1145	400	32	,	,	PUNCT
sc-1145	400	33	case	case	NOUN
sc-1145	400	34	6	6	NUM
sc-1145	400	35	,	,	PUNCT
sc-1145	400	36	case	case	NOUN
sc-1145	400	37	7	7	NUM
sc-1145	400	38	cluster	cluster	NOUN
sc-1145	400	39	1={1,2	1={1,2	NUM
sc-1145	400	40	}	}	PUNCT
sc-1145	400	41	cluster	cluster	NOUN
sc-1145	400	42	2={3,4	2={3,4	NUM
sc-1145	400	43	}	}	PUNCT
sc-1145	400	44	cluster	cluster	NOUN
sc-1145	400	45	3={5	3={5	NUM
sc-1145	400	46	,	,	PUNCT
sc-1145	400	47	6	6	NUM
sc-1145	400	48	,	,	PUNCT
sc-1145	400	49	7	7	NUM
sc-1145	400	50	}	}	SYM
sc-1145	400	51	0.5	0.5	NUM
sc-1145	400	52	case	case	NOUN
sc-1145	400	53	1	1	NUM
sc-1145	400	54	,	,	PUNCT
sc-1145	400	55	case	case	NOUN
sc-1145	400	56	2	2	NUM
sc-1145	400	57	,	,	PUNCT
sc-1145	400	58	case	case	NOUN
sc-1145	400	59	3	3	NUM
sc-1145	400	60	,	,	PUNCT
sc-1145	400	61	case	case	NOUN
sc-1145	400	62	5	5	NUM
sc-1145	400	63	,	,	PUNCT
sc-1145	400	64	case	case	NOUN
sc-1145	400	65	6	6	NUM
sc-1145	400	66	,	,	PUNCT
sc-1145	400	67	case	case	NOUN
sc-1145	400	68	7	7	NUM
sc-1145	400	69	cluster	cluster	NOUN
sc-1145	400	70	1={1,2	1={1,2	NUM
sc-1145	400	71	}	}	PUNCT
sc-1145	400	72	cluster	cluster	NOUN
sc-1145	400	73	2={3	2={3	NOUN
sc-1145	400	74	}	}	PUNCT
sc-1145	400	75	cluster	cluster	NOUN
sc-1145	400	76	3={5	3={5	NUM
sc-1145	400	77	,	,	PUNCT
sc-1145	400	78	6	6	NUM
sc-1145	400	79	,	,	PUNCT
sc-1145	400	80	7	7	NUM
sc-1145	400	81	}	}	SYM
sc-1145	400	82	0.6	0.6	NUM
sc-1145	400	83	case	case	NOUN
sc-1145	400	84	1	1	NUM
sc-1145	400	85	,	,	PUNCT
sc-1145	400	86	case	case	NOUN
sc-1145	400	87	2	2	NUM
sc-1145	400	88	,	,	PUNCT
sc-1145	400	89	case	case	NOUN
sc-1145	400	90	5	5	NUM
sc-1145	400	91	,	,	PUNCT
sc-1145	400	92	case	case	NOUN
sc-1145	400	93	6	6	NUM
sc-1145	400	94	,	,	PUNCT
sc-1145	400	95	case	case	NOUN
sc-1145	400	96	7	7	NUM
sc-1145	400	97	cluster	cluster	NOUN
sc-1145	400	98	1={1,2	1={1,2	NUM
sc-1145	400	99	}	}	PUNCT
sc-1145	400	100	cluster	cluster	NOUN
sc-1145	400	101	2={5	2={5	NOUN
sc-1145	400	102	,	,	PUNCT
sc-1145	400	103	6	6	NUM
sc-1145	400	104	,	,	PUNCT
sc-1145	400	105	7	7	NUM
sc-1145	400	106	}	}	SYM
sc-1145	400	107	0.7	0.7	NUM
sc-1145	400	108	case	case	NOUN
sc-1145	400	109	2	2	NUM
sc-1145	400	110	,	,	PUNCT
sc-1145	400	111	case	case	NOUN
sc-1145	400	112	5	5	NUM
sc-1145	400	113	,	,	PUNCT
sc-1145	400	114	case	case	NOUN
sc-1145	400	115	6	6	NUM
sc-1145	400	116	,	,	PUNCT
sc-1145	400	117	case	case	NOUN
sc-1145	400	118	7	7	NUM
sc-1145	400	119	cluster	cluster	NOUN
sc-1145	400	120	1={2	1={2	NUM
sc-1145	400	121	}	}	PUNCT
sc-1145	400	122	cluster	cluster	NOUN
sc-1145	400	123	2={5	2={5	NOUN
sc-1145	400	124	,	,	PUNCT
sc-1145	400	125	6	6	NUM
sc-1145	400	126	,	,	PUNCT
sc-1145	400	127	7	7	NUM
sc-1145	400	128	}	}	SYM
sc-1145	400	129	0.8	0.8	NUM
sc-1145	400	130	case	case	NOUN
sc-1145	400	131	5	5	NUM
sc-1145	400	132	,	,	PUNCT
sc-1145	400	133	case	case	NOUN
sc-1145	400	134	6	6	NUM
sc-1145	400	135	,	,	PUNCT
sc-1145	400	136	case	case	NOUN
sc-1145	400	137	7	7	NUM
sc-1145	400	138	cluster	cluster	NOUN
sc-1145	400	139	1={5	1={5	NOUN
sc-1145	400	140	,	,	PUNCT
sc-1145	400	141	6	6	NUM
sc-1145	400	142	,	,	PUNCT
sc-1145	400	143	7	7	NUM
sc-1145	400	144	}	}	SYM
sc-1145	400	145	0.9	0.9	NUM
sc-1145	400	146	case	case	NOUN
sc-1145	400	147	5	5	NUM
sc-1145	400	148	,	,	PUNCT
sc-1145	400	149	case	case	NOUN
sc-1145	400	150	6	6	NUM
sc-1145	400	151	,	,	PUNCT
sc-1145	400	152	case	case	NOUN
sc-1145	400	153	7	7	NUM
sc-1145	400	154	cluster	cluster	NOUN
sc-1145	400	155	1={5	1={5	NOUN
sc-1145	400	156	,	,	PUNCT
sc-1145	400	157	6	6	NUM
sc-1145	400	158	,	,	PUNCT
sc-1145	400	159	7	7	NUM
sc-1145	400	160	}	}	PUNCT
sc-1145	400	161	table	table	NOUN
sc-1145	400	162	8	8	NUM
sc-1145	400	163	.	.	PUNCT
sc-1145	401	1	experiments	experiment	NOUN
sc-1145	401	2	about	about	ADP
sc-1145	401	3	dataset	dataset	NOUN
sc-1145	401	4	splitting	splitting	NOUN
sc-1145	401	5	vs.	vs.	ADP
sc-1145	401	6	similarity	similarity	NOUN
sc-1145	401	7	measures	measure	NOUN
sc-1145	401	8	subdivisions	subdivision	NOUN
sc-1145	401	9	(	(	PUNCT
sc-1145	401	10	training	training	NOUN
sc-1145	401	11	,	,	PUNCT
sc-1145	401	12	testing	testing	NOUN
sc-1145	401	13	)	)	PUNCT
sc-1145	401	14	(	(	PUNCT
sc-1145	401	15	50,50	50,50	X
sc-1145	401	16	)	)	PUNCT
sc-1145	401	17	(	(	PUNCT
sc-1145	401	18	55,45	55,45	NOUN
sc-1145	401	19	)	)	PUNCT
sc-1145	401	20	(	(	PUNCT
sc-1145	401	21	60,40	60,40	NOUN
sc-1145	401	22	)	)	PUNCT
sc-1145	401	23	(	(	PUNCT
sc-1145	401	24	65,35	65,35	NOUN
sc-1145	401	25	)	)	PUNCT
sc-1145	401	26	(	(	PUNCT
sc-1145	401	27	70,30	70,30	NUM
sc-1145	401	28	)	)	PUNCT
sc-1145	401	29	(	(	PUNCT
sc-1145	401	30	75,25	75,25	NUM
sc-1145	401	31	)	)	PUNCT
sc-1145	401	32	(	(	PUNCT
sc-1145	401	33	80,20	80,20	NUM
sc-1145	401	34	)	)	PUNCT
sc-1145	401	35	(	(	PUNCT
sc-1145	401	36	85,15	85,15	NUM
sc-1145	401	37	)	)	PUNCT
sc-1145	401	38	(	(	PUNCT
sc-1145	401	39	90,10	90,10	NUM
sc-1145	401	40	)	)	PUNCT
sc-1145	401	41	(	(	PUNCT
sc-1145	401	42	95,5	95,5	NUM
sc-1145	401	43	)	)	PUNCT
sc-1145	401	44	similarity	similarity	NOUN
sc-1145	401	45	measures	measure	NOUN
sc-1145	401	46	0.79	0.79	NUM
sc-1145	401	47	0.75	0.75	NUM
sc-1145	401	48	0.86	0.86	NUM
sc-1145	401	49	0.84	0.84	NUM
sc-1145	401	50	0.905	0.905	NUM
sc-1145	401	51	0.913	0.913	NUM
sc-1145	401	52	0.77	0.77	NUM
sc-1145	401	53	0.85	0.85	NUM
sc-1145	401	54	0.79	0.79	NUM
sc-1145	401	55	0.70	0.70	NUM
sc-1145	401	56	reusing	reuse	VERB
sc-1145	401	57	by	by	ADP
sc-1145	401	58	adapting	adapt	VERB
sc-1145	401	59	the	the	DET
sc-1145	401	60	parameters	parameter	NOUN
sc-1145	401	61	of	of	ADP
sc-1145	401	62	pso	pso	NOUN
sc-1145	401	63	are	be	AUX
sc-1145	401	64	the	the	DET
sc-1145	401	65	following	following	NOUN
sc-1145	401	66	.	.	PUNCT
sc-1145	402	1	•	•	NUM
sc-1145	402	2	inertia	inertia	NOUN
sc-1145	402	3	weight	weight	NOUN
sc-1145	402	4	:	:	PUNCT
sc-1145	402	5	0.9	0.9	NUM
sc-1145	402	6	to	to	PART
sc-1145	402	7	0.4	0.4	NUM
sc-1145	402	8	•	•	NOUN
sc-1145	402	9	acceleration	acceleration	NOUN
sc-1145	402	10	factors	factor	NOUN
sc-1145	402	11	(	(	PUNCT
sc-1145	402	12	c1	c1	PROPN
sc-1145	402	13	and	and	CCONJ
sc-1145	402	14	c2	c2	PROPN
sc-1145	402	15	):	):	PUNCT
sc-1145	402	16	2	2	NUM
sc-1145	402	17	to	to	PART
sc-1145	402	18	2.05	2.05	NUM
sc-1145	402	19	•	•	NOUN
sc-1145	402	20	population	population	NOUN
sc-1145	402	21	size	size	NOUN
sc-1145	402	22	:	:	PUNCT
sc-1145	402	23	10	10	NUM
sc-1145	402	24	to	to	PART
sc-1145	402	25	100	100	NUM
sc-1145	402	26	•	•	NUM
sc-1145	402	27	maximum	maximum	ADJ
sc-1145	402	28	iteration	iteration	NOUN
sc-1145	402	29	(	(	PUNCT
sc-1145	402	30	maxite	maxite	ADJ
sc-1145	402	31	):	):	PUNCT
sc-1145	402	32	100	100	NUM
sc-1145	402	33	to	to	PART
sc-1145	402	34	500	500	NUM
sc-1145	402	35	•	•	NOUN
sc-1145	402	36	initial	initial	ADJ
sc-1145	402	37	velocity	velocity	NOUN
sc-1145	402	38	:	:	PUNCT
sc-1145	402	39	10	10	NUM
sc-1145	402	40	%	%	NOUN
sc-1145	402	41	of	of	ADP
sc-1145	402	42	position	position	NOUN
sc-1145	402	43	in	in	ADP
sc-1145	402	44	this	this	DET
sc-1145	402	45	appraoch	appraoch	NOUN
sc-1145	402	46	,	,	PUNCT
sc-1145	402	47	testing	testing	NOUN
sc-1145	402	48	solutions	solution	NOUN
sc-1145	402	49	are	be	AUX
sc-1145	402	50	obtained	obtain	VERB
sc-1145	402	51	when	when	SCONJ
sc-1145	402	52	pso	pso	NOUN
sc-1145	402	53	converges	converge	VERB
sc-1145	402	54	.	.	PUNCT
sc-1145	403	1	figure	figure	NOUN
sc-1145	403	2	10	10	NUM
sc-1145	403	3	shows	show	VERB
sc-1145	403	4	the	the	DET
sc-1145	403	5	gap	gap	NOUN
sc-1145	403	6	between	between	ADP
sc-1145	403	7	the	the	DET
sc-1145	403	8	solutions	solution	NOUN
sc-1145	403	9	obtained	obtain	VERB
sc-1145	403	10	after	after	ADP
sc-1145	403	11	pso	pso	NOUN
sc-1145	403	12	convergence	convergence	NOUN
sc-1145	403	13	(	(	PUNCT
sc-1145	403	14	graph	graph	NOUN
sc-1145	403	15	in	in	ADP
sc-1145	403	16	red	red	ADJ
sc-1145	403	17	)	)	PUNCT
sc-1145	403	18	and	and	CCONJ
sc-1145	403	19	the	the	DET
sc-1145	403	20	expected	expect	VERB
sc-1145	403	21	solutions	solution	NOUN
sc-1145	403	22	(	(	PUNCT
sc-1145	403	23	graph	graph	NOUN
sc-1145	403	24	in	in	ADP
sc-1145	403	25	blue	blue	ADJ
sc-1145	403	26	)	)	PUNCT
sc-1145	403	27	.	.	PUNCT
sc-1145	404	1	figure	figure	NOUN
sc-1145	404	2	10	10	NUM
sc-1145	404	3	.	.	PUNCT
sc-1145	405	1	reuse	reuse	NOUN
sc-1145	405	2	results	result	NOUN
sc-1145	405	3	figure	figure	VERB
sc-1145	405	4	10	10	NUM
sc-1145	405	5	reveals	reveal	VERB
sc-1145	405	6	some	some	DET
sc-1145	405	7	gaps	gap	NOUN
sc-1145	405	8	between	between	ADP
sc-1145	405	9	the	the	DET
sc-1145	405	10	expected	expect	VERB
sc-1145	405	11	solutions	solution	NOUN
sc-1145	405	12	and	and	CCONJ
sc-1145	405	13	predicted	predict	VERB
sc-1145	405	14	solutions	solution	NOUN
sc-1145	405	15	.	.	PUNCT
sc-1145	406	1	moreover	moreover	ADV
sc-1145	406	2	,	,	PUNCT
sc-1145	406	3	cable	cable	NOUN
sc-1145	406	4	is	be	AUX
sc-1145	406	5	able	able	ADJ
sc-1145	406	6	to	to	PART
sc-1145	406	7	optimize	optimize	VERB
sc-1145	406	8	testing	testing	NOUN
sc-1145	406	9	solutions	solution	NOUN
sc-1145	406	10	through	through	ADP
sc-1145	406	11	pso	pso	NOUN
sc-1145	406	12	with	with	ADP
sc-1145	406	13	an	an	DET
sc-1145	406	14	accuracy	accuracy	NOUN
sc-1145	406	15	of	of	ADP
sc-1145	406	16	0.88	0.88	NUM
sc-1145	406	17	.	.	PUNCT
sc-1145	407	1	reusing	reuse	VERB
sc-1145	407	2	by	by	ADP
sc-1145	407	3	copying	copy	VERB
sc-1145	407	4	in	in	ADP
sc-1145	407	5	this	this	DET
sc-1145	407	6	scheme	scheme	NOUN
sc-1145	407	7	,	,	PUNCT
sc-1145	407	8	solutions	solution	NOUN
sc-1145	407	9	of	of	ADP
sc-1145	407	10	testing	testing	NOUN
sc-1145	407	11	cases	case	NOUN
sc-1145	407	12	are	be	AUX
sc-1145	407	13	determined	determine	VERB
sc-1145	407	14	by	by	ADP
sc-1145	407	15	applying	apply	VERB
sc-1145	407	16	the	the	DET
sc-1145	407	17	majority	majority	NOUN
sc-1145	407	18	rule	rule	NOUN
sc-1145	407	19	(	(	PUNCT
sc-1145	407	20	mr	mr	PROPN
sc-1145	407	21	)	)	PUNCT
sc-1145	407	22	,	,	PUNCT
sc-1145	407	23	the	the	DET
sc-1145	407	24	probabilistic	probabilistic	ADJ
sc-1145	407	25	method	method	NOUN
sc-1145	407	26	(	(	PUNCT
sc-1145	407	27	pm	pm	NOUN
sc-1145	407	28	)	)	PUNCT
sc-1145	407	29	and	and	CCONJ
sc-1145	407	30	the	the	DET
sc-1145	407	31	class	class	NOUN
sc-1145	407	32	-	-	PUNCT
sc-1145	407	33	based	base	VERB
sc-1145	407	34	method	method	NOUN
sc-1145	407	35	(	(	PUNCT
sc-1145	407	36	cm	cm	NOUN
sc-1145	407	37	)	)	PUNCT
sc-1145	407	38	as	as	SCONJ
sc-1145	407	39	described	describe	VERB
sc-1145	407	40	in	in	ADP
sc-1145	407	41	section	section	NOUN
sc-1145	407	42	3.1	3.1	NUM
sc-1145	407	43	.	.	PUNCT
sc-1145	407	44	table	table	NOUN
sc-1145	407	45	9	9	NUM
sc-1145	407	46	is	be	AUX
sc-1145	407	47	an	an	DET
sc-1145	407	48	excerpt	excerpt	NOUN
sc-1145	407	49	of	of	ADP
sc-1145	407	50	the	the	DET
sc-1145	407	51	first	first	ADJ
sc-1145	407	52	nine	nine	NUM
sc-1145	407	53	case	case	NOUN
sc-1145	407	54	solutions	solution	NOUN
sc-1145	407	55	calculated	calculate	VERB
sc-1145	407	56	in	in	ADP
sc-1145	407	57	each	each	DET
sc-1145	407	58	technique	technique	NOUN
sc-1145	407	59	(	(	PUNCT
sc-1145	407	60	according	accord	VERB
sc-1145	407	61	to	to	ADP
sc-1145	407	62	section	section	NOUN
sc-1145	407	63	3.1	3.1	NUM
sc-1145	407	64	)	)	PUNCT
sc-1145	407	65	.	.	PUNCT
sc-1145	408	1	13	13	NUM
sc-1145	408	2	a	a	DET
sc-1145	408	3	case	case	NOUN
sc-1145	408	4	based	base	VERB
sc-1145	408	5	reasoning	reasoning	NOUN
sc-1145	408	6	coupling	couple	VERB
sc-1145	408	7	multi	multi	ADJ
sc-1145	408	8	-	-	ADJ
sc-1145	408	9	criteria	criterion	NOUN
sc-1145	408	10	decision	decision	NOUN
sc-1145	408	11	making	make	VERB
sc-1145	408	12	with	with	ADP
sc-1145	408	13	learning	learning	NOUN
sc-1145	408	14	and	and	CCONJ
sc-1145	408	15	optimization	optimization	NOUN
sc-1145	408	16	intelligences	intelligence	NOUN
sc-1145	408	17	:	:	PUNCT
sc-1145	408	18	application	application	NOUN
sc-1145	408	19	to	to	ADP
sc-1145	408	20	energy	energy	NOUN
sc-1145	408	21	consumption	consumption	NOUN
sc-1145	408	22	eai	eai	NOUN
sc-1145	408	23	endorsed	endorse	VERB
sc-1145	408	24	transactions	transaction	NOUN
sc-1145	408	25	on	on	ADP
sc-1145	408	26	smart	smart	ADJ
sc-1145	408	27	cities	city	NOUN
sc-1145	408	28	06	06	NUM
sc-1145	408	29	2018	2018	NUM
sc-1145	408	30	02	02	NUM
sc-1145	408	31	2020	2020	NUM
sc-1145	408	32	|	|	ADV
sc-1145	408	33	volume	volume	NOUN
sc-1145	408	34	4	4	NUM
sc-1145	408	35	|	|	NOUN
sc-1145	408	36	issue	issue	NOUN
sc-1145	408	37	9	9	NUM
sc-1145	408	38	|	|	NOUN
sc-1145	408	39	e4	e4	VERB
sc-1145	408	40	the	the	DET
sc-1145	408	41	first	first	ADJ
sc-1145	408	42	remark	remark	NOUN
sc-1145	408	43	is	be	AUX
sc-1145	408	44	that	that	SCONJ
sc-1145	408	45	mr	mr	PROPN
sc-1145	408	46	,	,	PUNCT
sc-1145	408	47	pm	pm	NOUN
sc-1145	408	48	and	and	CCONJ
sc-1145	408	49	cm	cm	PROPN
sc-1145	408	50	have	have	VERB
sc-1145	408	51	values	value	NOUN
sc-1145	408	52	that	that	PRON
sc-1145	408	53	are	be	AUX
sc-1145	408	54	sometimes	sometimes	ADV
sc-1145	408	55	repeated	repeat	VERB
sc-1145	408	56	across	across	ADP
sc-1145	408	57	cases	case	NOUN
sc-1145	408	58	.	.	PUNCT
sc-1145	409	1	mr	mr	PROPN
sc-1145	409	2	has	have	VERB
sc-1145	409	3	its	its	PRON
sc-1145	409	4	majority	majority	NOUN
sc-1145	409	5	value	value	NOUN
sc-1145	409	6	15153	15153	NUM
sc-1145	409	7	copied	copy	VERB
sc-1145	409	8	in	in	ADP
sc-1145	409	9	all	all	DET
sc-1145	409	10	cases	case	NOUN
sc-1145	409	11	;	;	PUNCT
sc-1145	409	12	pm	pm	NOUN
sc-1145	409	13	has	have	VERB
sc-1145	409	14	either	either	CCONJ
sc-1145	409	15	values	value	NOUN
sc-1145	409	16	15192	15192	NUM
sc-1145	409	17	or	or	CCONJ
sc-1145	409	18	15409	15409	NUM
sc-1145	409	19	that	that	PRON
sc-1145	409	20	are	be	AUX
sc-1145	409	21	repeated	repeat	VERB
sc-1145	409	22	across	across	ADP
sc-1145	409	23	cases	case	NOUN
sc-1145	409	24	and	and	CCONJ
sc-1145	409	25	cm	cm	NOUN
sc-1145	409	26	has	have	VERB
sc-1145	409	27	either	either	CCONJ
sc-1145	409	28	values	value	NOUN
sc-1145	409	29	17480	17480	NUM
sc-1145	409	30	or	or	CCONJ
sc-1145	409	31	16086	16086	NUM
sc-1145	409	32	obtained	obtain	VERB
sc-1145	409	33	in	in	ADP
sc-1145	409	34	different	different	ADJ
sc-1145	409	35	cases	case	NOUN
sc-1145	409	36	.	.	PUNCT
sc-1145	410	1	this	this	DET
sc-1145	410	2	situation	situation	NOUN
sc-1145	410	3	is	be	AUX
sc-1145	410	4	explained	explain	VERB
sc-1145	410	5	by	by	ADP
sc-1145	410	6	the	the	DET
sc-1145	410	7	fact	fact	NOUN
sc-1145	410	8	that	that	SCONJ
sc-1145	410	9	these	these	DET
sc-1145	410	10	models	model	NOUN
sc-1145	410	11	compute	compute	VERB
sc-1145	410	12	solutions	solution	NOUN
sc-1145	410	13	independently	independently	ADV
sc-1145	410	14	from	from	ADP
sc-1145	410	15	the	the	DET
sc-1145	410	16	case	case	NOUN
sc-1145	410	17	base	base	NOUN
sc-1145	410	18	structure	structure	NOUN
sc-1145	410	19	.	.	PUNCT
sc-1145	411	1	it	it	PRON
sc-1145	411	2	is	be	AUX
sc-1145	411	3	therefore	therefore	ADV
sc-1145	411	4	observed	observe	VERB
sc-1145	411	5	that	that	SCONJ
sc-1145	411	6	these	these	DET
sc-1145	411	7	estimations	estimation	NOUN
sc-1145	411	8	can	can	AUX
sc-1145	411	9	be	be	AUX
sc-1145	411	10	efficient	efficient	ADJ
sc-1145	411	11	only	only	ADV
sc-1145	411	12	in	in	ADP
sc-1145	411	13	some	some	DET
sc-1145	411	14	cases	case	NOUN
sc-1145	411	15	.	.	PUNCT
sc-1145	412	1	the	the	DET
sc-1145	412	2	next	next	ADJ
sc-1145	412	3	section	section	NOUN
sc-1145	412	4	investigates	investigate	VERB
sc-1145	412	5	which	which	PRON
sc-1145	412	6	reuse	reuse	VERB
sc-1145	412	7	model	model	NOUN
sc-1145	412	8	(	(	PUNCT
sc-1145	412	9	mr	mr	PROPN
sc-1145	412	10	,	,	PUNCT
sc-1145	412	11	pm	pm	NOUN
sc-1145	412	12	,	,	PUNCT
sc-1145	412	13	cm	cm	NOUN
sc-1145	412	14	or	or	CCONJ
sc-1145	412	15	pso	pso	NOUN
sc-1145	412	16	)	)	PUNCT
sc-1145	412	17	makes	make	VERB
sc-1145	412	18	solution	solution	NOUN
sc-1145	412	19	estimations	estimation	NOUN
sc-1145	412	20	more	more	ADV
sc-1145	412	21	closest	close	ADJ
sc-1145	412	22	to	to	ADP
sc-1145	412	23	the	the	DET
sc-1145	412	24	expected	expect	VERB
sc-1145	412	25	testing	testing	NOUN
sc-1145	412	26	solutions	solution	NOUN
sc-1145	412	27	(	(	PUNCT
sc-1145	412	28	see	see	VERB
sc-1145	412	29	the	the	DET
sc-1145	412	30	column	column	NOUN
sc-1145	412	31	"	"	PUNCT
sc-1145	412	32	expectedsolution	expectedsolution	NOUN
sc-1145	412	33	"	"	PUNCT
sc-1145	412	34	in	in	ADP
sc-1145	412	35	table	table	NOUN
sc-1145	412	36	10	10	NUM
sc-1145	412	37	)	)	PUNCT
sc-1145	412	38	.	.	PUNCT
sc-1145	413	1	to	to	PART
sc-1145	413	2	achieve	achieve	VERB
sc-1145	413	3	this	this	DET
sc-1145	413	4	objective	objective	NOUN
sc-1145	413	5	,	,	PUNCT
sc-1145	413	6	expectedsolution	expectedsolution	NOUN
sc-1145	413	7	is	be	AUX
sc-1145	413	8	compared	compare	VERB
sc-1145	413	9	indepedently	indepedently	ADV
sc-1145	413	10	to	to	ADP
sc-1145	413	11	mr	mr	PROPN
sc-1145	413	12	,	,	PUNCT
sc-1145	413	13	then	then	ADV
sc-1145	413	14	to	to	PART
sc-1145	413	15	pm	pm	VERB
sc-1145	413	16	,	,	PUNCT
sc-1145	413	17	then	then	ADV
sc-1145	413	18	to	to	ADP
sc-1145	413	19	cm	cm	NOUN
sc-1145	413	20	and	and	CCONJ
sc-1145	413	21	to	to	PART
sc-1145	413	22	pso	pso	VERB
sc-1145	413	23	.	.	PUNCT
sc-1145	414	1	the	the	DET
sc-1145	414	2	statistical	statistical	ADJ
sc-1145	414	3	technique	technique	NOUN
sc-1145	414	4	t	t	NOUN
sc-1145	414	5	-	-	PUNCT
sc-1145	414	6	test	test	NOUN
sc-1145	414	7	is	be	AUX
sc-1145	414	8	used	use	VERB
sc-1145	414	9	to	to	PART
sc-1145	414	10	check	check	VERB
sc-1145	414	11	if	if	SCONJ
sc-1145	414	12	the	the	DET
sc-1145	414	13	means	mean	NOUN
sc-1145	414	14	in	in	ADP
sc-1145	414	15	each	each	DET
sc-1145	414	16	case	case	NOUN
sc-1145	414	17	are	be	AUX
sc-1145	414	18	significantly	significantly	ADV
sc-1145	414	19	different	different	ADJ
sc-1145	414	20	from	from	ADP
sc-1145	414	21	each	each	DET
sc-1145	414	22	other	other	ADJ
sc-1145	414	23	.	.	PUNCT
sc-1145	415	1	t	t	NOUN
sc-1145	415	2	-	-	PUNCT
sc-1145	415	3	test	test	NOUN
sc-1145	415	4	the	the	DET
sc-1145	415	5	aim	aim	NOUN
sc-1145	415	6	here	here	ADV
sc-1145	415	7	is	be	AUX
sc-1145	415	8	to	to	PART
sc-1145	415	9	examine	examine	VERB
sc-1145	415	10	,	,	PUNCT
sc-1145	415	11	for	for	ADP
sc-1145	415	12	example	example	NOUN
sc-1145	415	13	,	,	PUNCT
sc-1145	415	14	whether	whether	SCONJ
sc-1145	415	15	expectedsolution	expectedsolution	NOUN
sc-1145	415	16	and	and	CCONJ
sc-1145	415	17	pso	pso	NOUN
sc-1145	415	18	values	value	NOUN
sc-1145	415	19	,	,	PUNCT
sc-1145	415	20	are	be	AUX
sc-1145	415	21	different	different	ADJ
sc-1145	415	22	on	on	ADP
sc-1145	415	23	average	average	ADJ
sc-1145	415	24	,	,	PUNCT
sc-1145	415	25	then	then	ADV
sc-1145	415	26	pso	pso	NOUN
sc-1145	415	27	could	could	AUX
sc-1145	415	28	not	not	PART
sc-1145	415	29	be	be	AUX
sc-1145	415	30	chosen	choose	VERB
sc-1145	415	31	as	as	ADP
sc-1145	415	32	the	the	DET
sc-1145	415	33	one	one	NOUN
sc-1145	415	34	getting	get	VERB
sc-1145	415	35	closer	close	ADJ
sc-1145	415	36	to	to	ADP
sc-1145	415	37	the	the	DET
sc-1145	415	38	expected	expect	VERB
sc-1145	415	39	values	value	NOUN
sc-1145	415	40	.	.	PUNCT
sc-1145	416	1	the	the	DET
sc-1145	416	2	hypotheses	hypothesis	NOUN
sc-1145	416	3	are	be	AUX
sc-1145	416	4	the	the	DET
sc-1145	416	5	following	following	NOUN
sc-1145	416	6	.	.	PUNCT
sc-1145	417	1	ho(null	ho(null	ADJ
sc-1145	417	2	hypothesis	hypothesis	NOUN
sc-1145	417	3	)	)	PUNCT
sc-1145	417	4	the	the	DET
sc-1145	417	5	sample	sample	NOUN
sc-1145	417	6	means	mean	VERB
sc-1145	417	7	are	be	AUX
sc-1145	417	8	equal	equal	ADJ
sc-1145	417	9	or	or	CCONJ
sc-1145	417	10	they	they	PRON
sc-1145	417	11	do	do	AUX
sc-1145	417	12	not	not	PART
sc-1145	417	13	have	have	VERB
sc-1145	417	14	any	any	DET
sc-1145	417	15	significant	significant	ADJ
sc-1145	417	16	difference	difference	NOUN
sc-1145	417	17	.	.	PUNCT
sc-1145	418	1	for	for	ADP
sc-1145	418	2	instance	instance	NOUN
sc-1145	418	3	,	,	PUNCT
sc-1145	418	4	expectedsolution	expectedsolution	NOUN
sc-1145	418	5	’s	’s	PART
sc-1145	418	6	mean	mean	NOUN
sc-1145	418	7	and	and	CCONJ
sc-1145	418	8	pso	pso	NOUN
sc-1145	418	9	’s	’	VERB
sc-1145	418	10	mean	mean	NOUN
sc-1145	418	11	do	do	AUX
sc-1145	418	12	not	not	PART
sc-1145	418	13	have	have	VERB
sc-1145	418	14	any	any	DET
sc-1145	418	15	significant	significant	ADJ
sc-1145	418	16	difference	difference	NOUN
sc-1145	418	17	.	.	PUNCT
sc-1145	419	1	h1(alternate	h1(alternate	ADJ
sc-1145	419	2	hypothesis	hypothesis	NOUN
sc-1145	419	3	)	)	PUNCT
sc-1145	419	4	the	the	DET
sc-1145	419	5	sample	sample	NOUN
sc-1145	419	6	means	mean	VERB
sc-1145	419	7	are	be	AUX
sc-1145	419	8	different	different	ADJ
sc-1145	419	9	or	or	CCONJ
sc-1145	419	10	they	they	PRON
sc-1145	419	11	have	have	VERB
sc-1145	419	12	significant	significant	ADJ
sc-1145	419	13	difference	difference	NOUN
sc-1145	419	14	.	.	PUNCT
sc-1145	420	1	for	for	ADP
sc-1145	420	2	instance	instance	NOUN
sc-1145	420	3	,	,	PUNCT
sc-1145	420	4	expectedsolution	expectedsolution	NOUN
sc-1145	420	5	and	and	CCONJ
sc-1145	420	6	pso	pso	NOUN
sc-1145	420	7	means	mean	NOUN
sc-1145	420	8	have	have	VERB
sc-1145	420	9	significant	significant	ADJ
sc-1145	420	10	difference	difference	NOUN
sc-1145	420	11	.	.	PUNCT
sc-1145	421	1	table	table	NOUN
sc-1145	421	2	10	10	NUM
sc-1145	421	3	presents	present	VERB
sc-1145	421	4	the	the	DET
sc-1145	421	5	results	result	NOUN
sc-1145	421	6	from	from	ADP
sc-1145	421	7	the	the	DET
sc-1145	421	8	statistical	statistical	ADJ
sc-1145	421	9	test	test	NOUN
sc-1145	421	10	.	.	PUNCT
sc-1145	422	1	concerning	concern	VERB
sc-1145	422	2	pso	pso	NOUN
sc-1145	422	3	,	,	PUNCT
sc-1145	422	4	p	p	X
sc-1145	422	5	(	(	PUNCT
sc-1145	422	6	t	t	NOUN
sc-1145	422	7	<	<	X
sc-1145	422	8	=	=	X
sc-1145	422	9	t	t	PROPN
sc-1145	422	10	)	)	PUNCT
sc-1145	422	11	=	=	PUNCT
sc-1145	422	12	0.64	0.64	NUM
sc-1145	422	13	>	>	SYM
sc-1145	422	14	0.05	0.05	NUM
sc-1145	422	15	,	,	PUNCT
sc-1145	422	16	ho	ho	PROPN
sc-1145	422	17	is	be	AUX
sc-1145	422	18	therefore	therefore	ADV
sc-1145	422	19	accepted	accept	VERB
sc-1145	422	20	.	.	PUNCT
sc-1145	423	1	it	it	PRON
sc-1145	423	2	means	mean	VERB
sc-1145	423	3	that	that	SCONJ
sc-1145	423	4	pso	pso	NOUN
sc-1145	423	5	and	and	CCONJ
sc-1145	423	6	expectedsolution	expectedsolution	NOUN
sc-1145	423	7	samples	sample	NOUN
sc-1145	423	8	have	have	VERB
sc-1145	423	9	statistically	statistically	ADV
sc-1145	423	10	the	the	DET
sc-1145	423	11	same	same	ADJ
sc-1145	423	12	means	mean	NOUN
sc-1145	423	13	.	.	PUNCT
sc-1145	424	1	pso	pso	NOUN
sc-1145	424	2	is	be	AUX
sc-1145	424	3	appropriate	appropriate	ADJ
sc-1145	424	4	to	to	ADP
sc-1145	424	5	approximate	approximate	ADJ
sc-1145	424	6	expectedsolution	expectedsolution	NOUN
sc-1145	424	7	.	.	PUNCT
sc-1145	425	1	concerning	concern	VERB
sc-1145	425	2	mr	mr	PROPN
sc-1145	425	3	,	,	PUNCT
sc-1145	425	4	the	the	DET
sc-1145	425	5	difference	difference	NOUN
sc-1145	425	6	between	between	ADP
sc-1145	425	7	mr	mr	PROPN
sc-1145	425	8	and	and	CCONJ
sc-1145	425	9	expectedsolution	expectedsolution	NOUN
sc-1145	425	10	means	mean	VERB
sc-1145	425	11	is	be	AUX
sc-1145	425	12	significant	significant	ADJ
sc-1145	425	13	because	because	SCONJ
sc-1145	425	14	we	we	PRON
sc-1145	425	15	have	have	VERB
sc-1145	425	16	evidence	evidence	NOUN
sc-1145	425	17	to	to	PART
sc-1145	425	18	reject	reject	VERB
sc-1145	425	19	the	the	DET
sc-1145	425	20	null	null	ADJ
sc-1145	425	21	hypothesis	hypothesis	NOUN
sc-1145	425	22	(	(	PUNCT
sc-1145	425	23	p	p	X
sc-1145	425	24	(	(	PUNCT
sc-1145	425	25	t	t	NOUN
sc-1145	425	26	<	<	X
sc-1145	425	27	=	=	X
sc-1145	425	28	t	t	PROPN
sc-1145	425	29	)	)	PUNCT
sc-1145	425	30	=	=	NOUN
sc-1145	426	1	5.3971e	5.3971e	NUM
sc-1145	426	2	−	−	PROPN
sc-1145	426	3	50	50	NUM
sc-1145	426	4	<	<	X
sc-1145	426	5	0	0	NUM
sc-1145	426	6	,	,	PUNCT
sc-1145	426	7	05	05	NUM
sc-1145	426	8	)	)	PUNCT
sc-1145	426	9	.	.	PUNCT
sc-1145	427	1	mr	mr	PROPN
sc-1145	427	2	differs	differ	VERB
sc-1145	427	3	or	or	CCONJ
sc-1145	427	4	moves	move	VERB
sc-1145	427	5	away	away	ADV
sc-1145	427	6	from	from	ADP
sc-1145	427	7	expectedsolution	expectedsolution	NOUN
sc-1145	427	8	.	.	PUNCT
sc-1145	428	1	this	this	DET
sc-1145	428	2	conclusion	conclusion	NOUN
sc-1145	428	3	is	be	AUX
sc-1145	428	4	the	the	DET
sc-1145	428	5	same	same	ADJ
sc-1145	428	6	for	for	ADP
sc-1145	428	7	pm	pm	NOUN
sc-1145	428	8	and	and	CCONJ
sc-1145	428	9	cm	cm	NOUN
sc-1145	428	10	.	.	PUNCT
sc-1145	429	1	in	in	ADP
sc-1145	429	2	view	view	NOUN
sc-1145	429	3	of	of	ADP
sc-1145	429	4	results	result	NOUN
sc-1145	429	5	,	,	PUNCT
sc-1145	429	6	only	only	ADV
sc-1145	429	7	the	the	DET
sc-1145	429	8	test	test	NOUN
sc-1145	429	9	between	between	ADP
sc-1145	429	10	the	the	DET
sc-1145	429	11	expectedsolution	expectedsolution	NOUN
sc-1145	429	12	and	and	CCONJ
sc-1145	429	13	pso	pso	NOUN
sc-1145	429	14	reveals	reveal	VERB
sc-1145	429	15	that	that	SCONJ
sc-1145	429	16	they	they	PRON
sc-1145	429	17	do	do	AUX
sc-1145	429	18	not	not	PART
sc-1145	429	19	differ	differ	VERB
sc-1145	429	20	on	on	ADP
sc-1145	429	21	average	average	ADJ
sc-1145	429	22	(	(	PUNCT
sc-1145	429	23	from	from	ADP
sc-1145	429	24	a	a	DET
sc-1145	429	25	statistical	statistical	ADJ
sc-1145	429	26	point	point	NOUN
sc-1145	429	27	of	of	ADP
sc-1145	429	28	view	view	NOUN
sc-1145	429	29	)	)	PUNCT
sc-1145	429	30	,	,	PUNCT
sc-1145	429	31	and	and	CCONJ
sc-1145	429	32	that	that	SCONJ
sc-1145	429	33	there	there	PRON
sc-1145	429	34	is	be	VERB
sc-1145	429	35	only	only	ADV
sc-1145	429	36	5	5	NUM
sc-1145	429	37	%	%	NOUN
sc-1145	429	38	chance	chance	NOUN
sc-1145	429	39	to	to	PART
sc-1145	429	40	fail	fail	VERB
sc-1145	429	41	in	in	ADP
sc-1145	429	42	this	this	DET
sc-1145	429	43	assertion	assertion	NOUN
sc-1145	429	44	.	.	PUNCT
sc-1145	430	1	in	in	ADP
sc-1145	430	2	addition	addition	NOUN
sc-1145	430	3	,	,	PUNCT
sc-1145	430	4	mean	mean	VERB
sc-1145	430	5	values	value	NOUN
sc-1145	430	6	of	of	ADP
sc-1145	430	7	pso	pso	NOUN
sc-1145	430	8	and	and	CCONJ
sc-1145	430	9	expectedsolution	expectedsolution	NOUN
sc-1145	430	10	are	be	AUX
sc-1145	430	11	too	too	ADV
sc-1145	430	12	close	close	ADJ
sc-1145	430	13	as	as	ADV
sc-1145	430	14	well	well	ADV
sc-1145	430	15	as	as	ADP
sc-1145	430	16	their	their	PRON
sc-1145	430	17	correlation	correlation	NOUN
sc-1145	430	18	equals	equal	VERB
sc-1145	430	19	0.995	0.995	NUM
sc-1145	430	20	,	,	PUNCT
sc-1145	430	21	close	close	ADJ
sc-1145	430	22	to	to	ADP
sc-1145	430	23	1	1	NUM
sc-1145	430	24	.	.	PUNCT
sc-1145	431	1	pso	pso	NOUN
sc-1145	431	2	is	be	AUX
sc-1145	431	3	therefore	therefore	ADV
sc-1145	431	4	the	the	DET
sc-1145	431	5	model	model	NOUN
sc-1145	431	6	which	which	PRON
sc-1145	431	7	is	be	AUX
sc-1145	431	8	more	more	ADV
sc-1145	431	9	appropriate	appropriate	ADJ
sc-1145	431	10	to	to	ADP
sc-1145	431	11	the	the	DET
sc-1145	431	12	expected	expect	VERB
sc-1145	431	13	values	value	NOUN
sc-1145	431	14	.	.	PUNCT
sc-1145	432	1	revise	revise	NOUN
sc-1145	432	2	.	.	PUNCT
sc-1145	433	1	the	the	DET
sc-1145	433	2	revision	revision	NOUN
sc-1145	433	3	of	of	ADP
sc-1145	433	4	reuse	reuse	NOUN
sc-1145	433	5	solutions	solution	NOUN
sc-1145	433	6	is	be	AUX
sc-1145	433	7	made	make	VERB
sc-1145	433	8	as	as	SCONJ
sc-1145	433	9	described	describe	VERB
sc-1145	433	10	in	in	ADP
sc-1145	433	11	section	section	NOUN
sc-1145	433	12	4.3	4.3	NUM
sc-1145	433	13	.	.	PUNCT
sc-1145	434	1	first	first	ADV
sc-1145	434	2	we	we	PRON
sc-1145	434	3	experimented	experiment	VERB
sc-1145	434	4	different	different	ADJ
sc-1145	434	5	dataset	dataset	NOUN
sc-1145	434	6	subdivisions	subdivision	NOUN
sc-1145	434	7	as	as	SCONJ
sc-1145	434	8	presented	present	VERB
sc-1145	434	9	in	in	ADP
sc-1145	434	10	table	table	NOUN
sc-1145	434	11	11	11	NUM
sc-1145	434	12	.	.	PUNCT
sc-1145	435	1	then	then	ADV
sc-1145	435	2	we	we	PRON
sc-1145	435	3	investigated	investigate	VERB
sc-1145	435	4	the	the	DET
sc-1145	435	5	subdivision	subdivision	NOUN
sc-1145	435	6	which	which	PRON
sc-1145	435	7	offers	offer	VERB
sc-1145	435	8	the	the	DET
sc-1145	435	9	high	high	ADJ
sc-1145	435	10	revise	revise	NOUN
sc-1145	435	11	accuracy	accuracy	NOUN
sc-1145	435	12	related	relate	VERB
sc-1145	435	13	to	to	ADP
sc-1145	435	14	dataset	dataset	NOUN
sc-1145	435	15	.	.	PUNCT
sc-1145	436	1	the	the	DET
sc-1145	436	2	subdivision	subdivision	NOUN
sc-1145	436	3	(	(	PUNCT
sc-1145	436	4	75	75	NUM
sc-1145	436	5	%	%	NOUN
sc-1145	436	6	,	,	PUNCT
sc-1145	436	7	25	25	NUM
sc-1145	436	8	%	%	NOUN
sc-1145	436	9	)	)	PUNCT
sc-1145	436	10	offers	offer	VERB
sc-1145	436	11	the	the	DET
sc-1145	436	12	best	good	ADJ
sc-1145	436	13	accuracy	accuracy	NOUN
sc-1145	436	14	.	.	PUNCT
sc-1145	437	1	figure	figure	NOUN
sc-1145	437	2	11	11	NUM
sc-1145	437	3	illustrates	illustrate	VERB
sc-1145	437	4	results	result	NOUN
sc-1145	437	5	of	of	ADP
sc-1145	437	6	revise	revise	NOUN
sc-1145	437	7	(	(	PUNCT
sc-1145	437	8	graph	graph	NOUN
sc-1145	437	9	in	in	ADP
sc-1145	437	10	red	red	ADJ
sc-1145	437	11	)	)	PUNCT
sc-1145	437	12	compared	compare	VERB
sc-1145	437	13	to	to	ADP
sc-1145	437	14	expected	expect	VERB
sc-1145	437	15	solutions	solution	NOUN
sc-1145	437	16	(	(	PUNCT
sc-1145	437	17	graph	graph	NOUN
sc-1145	437	18	in	in	ADP
sc-1145	437	19	blue	blue	ADJ
sc-1145	437	20	)	)	PUNCT
sc-1145	437	21	.	.	PUNCT
sc-1145	438	1	we	we	PRON
sc-1145	438	2	observe	observe	VERB
sc-1145	438	3	that	that	SCONJ
sc-1145	438	4	the	the	DET
sc-1145	438	5	accuracy	accuracy	NOUN
sc-1145	438	6	has	have	AUX
sc-1145	438	7	improved	improve	VERB
sc-1145	438	8	from	from	ADP
sc-1145	438	9	88.38	88.38	NUM
sc-1145	438	10	%	%	NOUN
sc-1145	438	11	in	in	ADP
sc-1145	438	12	the	the	DET
sc-1145	438	13	reuse	reuse	NOUN
sc-1145	438	14	to	to	ADP
sc-1145	438	15	99.35	99.35	NUM
sc-1145	438	16	%	%	NOUN
sc-1145	438	17	in	in	ADP
sc-1145	438	18	the	the	DET
sc-1145	438	19	revise	revise	NOUN
sc-1145	438	20	.	.	PUNCT
sc-1145	439	1	therefore	therefore	ADV
sc-1145	439	2	,	,	PUNCT
sc-1145	439	3	some	some	DET
sc-1145	439	4	mispredicted	mispredicted	ADJ
sc-1145	439	5	testing	testing	NOUN
sc-1145	439	6	solutions	solution	NOUN
sc-1145	439	7	in	in	ADP
sc-1145	439	8	reuse	reuse	NOUN
sc-1145	439	9	has	have	AUX
sc-1145	439	10	been	be	AUX
sc-1145	439	11	correctly	correctly	ADV
sc-1145	439	12	classified	classify	VERB
sc-1145	439	13	in	in	ADP
sc-1145	439	14	the	the	DET
sc-1145	439	15	revise	revise	NOUN
sc-1145	439	16	.	.	PUNCT
sc-1145	440	1	the	the	DET
sc-1145	440	2	svm	svm	PROPN
sc-1145	440	3	regression	regression	NOUN
sc-1145	440	4	model	model	NOUN
sc-1145	440	5	effectively	effectively	ADV
sc-1145	440	6	improves	improve	VERB
sc-1145	440	7	the	the	DET
sc-1145	440	8	determination	determination	NOUN
sc-1145	440	9	of	of	ADP
sc-1145	440	10	solutions	solution	NOUN
sc-1145	440	11	.	.	PUNCT
sc-1145	441	1	figure	figure	VERB
sc-1145	441	2	11	11	NUM
sc-1145	441	3	.	.	PUNCT
sc-1145	442	1	revise	revise	NOUN
sc-1145	442	2	result	result	VERB
sc-1145	442	3	we	we	PRON
sc-1145	442	4	performed	perform	VERB
sc-1145	442	5	a	a	DET
sc-1145	442	6	statistical	statistical	ADJ
sc-1145	442	7	test	test	NOUN
sc-1145	442	8	to	to	PART
sc-1145	442	9	investigate	investigate	VERB
sc-1145	442	10	whether	whether	SCONJ
sc-1145	442	11	the	the	DET
sc-1145	442	12	reuse	reuse	NOUN
sc-1145	442	13	approach	approach	NOUN
sc-1145	442	14	is	be	AUX
sc-1145	442	15	better	well	ADJ
sc-1145	442	16	than	than	ADP
sc-1145	442	17	the	the	DET
sc-1145	442	18	revise	revise	NOUN
sc-1145	442	19	approach	approach	NOUN
sc-1145	442	20	.	.	PUNCT
sc-1145	443	1	t	t	NOUN
sc-1145	443	2	-	-	PUNCT
sc-1145	443	3	test	test	NOUN
sc-1145	443	4	the	the	DET
sc-1145	443	5	aim	aim	NOUN
sc-1145	443	6	here	here	ADV
sc-1145	443	7	is	be	AUX
sc-1145	443	8	see	see	ADJ
sc-1145	443	9	,	,	PUNCT
sc-1145	443	10	for	for	ADP
sc-1145	443	11	example	example	NOUN
sc-1145	443	12	,	,	PUNCT
sc-1145	443	13	whether	whether	SCONJ
sc-1145	443	14	expectedsolution	expectedsolution	NOUN
sc-1145	443	15	and	and	CCONJ
sc-1145	443	16	reuse	reuse	NOUN
sc-1145	443	17	’s	’s	PART
sc-1145	443	18	estimated	estimate	VERB
sc-1145	443	19	values	value	NOUN
sc-1145	443	20	,	,	PUNCT
sc-1145	443	21	are	be	AUX
sc-1145	443	22	statistically	statistically	ADV
sc-1145	443	23	different	different	ADJ
sc-1145	443	24	on	on	ADP
sc-1145	443	25	average	average	ADJ
sc-1145	443	26	,	,	PUNCT
sc-1145	443	27	then	then	ADV
sc-1145	443	28	reuse	reuse	NOUN
sc-1145	443	29	could	could	AUX
sc-1145	443	30	not	not	PART
sc-1145	443	31	be	be	AUX
sc-1145	443	32	chosen	choose	VERB
sc-1145	443	33	as	as	ADP
sc-1145	443	34	the	the	DET
sc-1145	443	35	one	one	NOUN
sc-1145	443	36	getting	get	VERB
sc-1145	443	37	closer	close	ADJ
sc-1145	443	38	to	to	ADP
sc-1145	443	39	the	the	DET
sc-1145	443	40	expected	expect	VERB
sc-1145	443	41	values	value	NOUN
sc-1145	443	42	.	.	PUNCT
sc-1145	444	1	the	the	DET
sc-1145	444	2	hypotheses	hypothesis	NOUN
sc-1145	444	3	are	be	AUX
sc-1145	444	4	the	the	DET
sc-1145	444	5	following	following	NOUN
sc-1145	444	6	.	.	PUNCT
sc-1145	445	1	ho(null	ho(null	ADJ
sc-1145	445	2	hypothesis	hypothesis	NOUN
sc-1145	445	3	)	)	PUNCT
sc-1145	445	4	the	the	DET
sc-1145	445	5	sample	sample	NOUN
sc-1145	445	6	means	mean	VERB
sc-1145	445	7	are	be	AUX
sc-1145	445	8	equal	equal	ADJ
sc-1145	445	9	or	or	CCONJ
sc-1145	445	10	they	they	PRON
sc-1145	445	11	do	do	AUX
sc-1145	445	12	not	not	PART
sc-1145	445	13	have	have	VERB
sc-1145	445	14	any	any	DET
sc-1145	445	15	significant	significant	ADJ
sc-1145	445	16	difference	difference	NOUN
sc-1145	445	17	.	.	PUNCT
sc-1145	446	1	for	for	ADP
sc-1145	446	2	instance	instance	NOUN
sc-1145	446	3	,	,	PUNCT
sc-1145	446	4	expectedsolution	expectedsolution	NOUN
sc-1145	446	5	’s	’s	PART
sc-1145	446	6	mean	mean	NOUN
sc-1145	446	7	and	and	CCONJ
sc-1145	446	8	revise	revise	PROPN
sc-1145	446	9	’s	’s	ADV
sc-1145	446	10	mean	mean	VERB
sc-1145	446	11	do	do	AUX
sc-1145	446	12	not	not	PART
sc-1145	446	13	have	have	VERB
sc-1145	446	14	any	any	DET
sc-1145	446	15	significant	significant	ADJ
sc-1145	446	16	difference	difference	NOUN
sc-1145	446	17	.	.	PUNCT
sc-1145	447	1	h1(alternate	h1(alternate	ADJ
sc-1145	447	2	hypothesis	hypothesis	NOUN
sc-1145	447	3	)	)	PUNCT
sc-1145	447	4	the	the	DET
sc-1145	447	5	sample	sample	NOUN
sc-1145	447	6	means	mean	VERB
sc-1145	447	7	are	be	AUX
sc-1145	447	8	different	different	ADJ
sc-1145	447	9	or	or	CCONJ
sc-1145	447	10	they	they	PRON
sc-1145	447	11	have	have	VERB
sc-1145	447	12	significant	significant	ADJ
sc-1145	447	13	difference	difference	NOUN
sc-1145	447	14	.	.	PUNCT
sc-1145	448	1	for	for	ADP
sc-1145	448	2	instance	instance	NOUN
sc-1145	448	3	,	,	PUNCT
sc-1145	448	4	expectedsolution	expectedsolution	NOUN
sc-1145	448	5	and	and	CCONJ
sc-1145	448	6	revise	revise	PROPN
sc-1145	448	7	means	mean	VERB
sc-1145	448	8	have	have	VERB
sc-1145	448	9	significant	significant	ADJ
sc-1145	448	10	difference	difference	NOUN
sc-1145	448	11	.	.	PUNCT
sc-1145	449	1	table	table	NOUN
sc-1145	449	2	12	12	NUM
sc-1145	449	3	presents	present	VERB
sc-1145	449	4	the	the	DET
sc-1145	449	5	results	result	NOUN
sc-1145	449	6	from	from	ADP
sc-1145	449	7	the	the	DET
sc-1145	449	8	statistical	statistical	ADJ
sc-1145	449	9	test	test	NOUN
sc-1145	449	10	.	.	PUNCT
sc-1145	450	1	concerning	concern	VERB
sc-1145	450	2	reuse	reuse	NOUN
sc-1145	450	3	,	,	PUNCT
sc-1145	450	4	p	p	X
sc-1145	450	5	(	(	PUNCT
sc-1145	450	6	t	t	NOUN
sc-1145	450	7	<	<	X
sc-1145	450	8	=	=	X
sc-1145	450	9	t	t	PROPN
sc-1145	450	10	)	)	PUNCT
sc-1145	450	11	=	=	PUNCT
sc-1145	450	12	0.64	0.64	NUM
sc-1145	450	13	>	>	SYM
sc-1145	450	14	0.05	0.05	NUM
sc-1145	450	15	,	,	PUNCT
sc-1145	450	16	ho	ho	PROPN
sc-1145	450	17	is	be	AUX
sc-1145	450	18	therefore	therefore	ADV
sc-1145	450	19	accepted	accept	VERB
sc-1145	450	20	.	.	PUNCT
sc-1145	451	1	it	it	PRON
sc-1145	451	2	means	mean	VERB
sc-1145	451	3	that	that	SCONJ
sc-1145	451	4	pso	pso	NOUN
sc-1145	451	5	and	and	CCONJ
sc-1145	451	6	expectedsolution	expectedsolution	NOUN
sc-1145	451	7	samples	sample	NOUN
sc-1145	451	8	have	have	VERB
sc-1145	451	9	statistically	statistically	ADV
sc-1145	451	10	the	the	DET
sc-1145	451	11	same	same	ADJ
sc-1145	451	12	means	mean	NOUN
sc-1145	451	13	.	.	PUNCT
sc-1145	452	1	pso	pso	NOUN
sc-1145	452	2	14	14	NUM
sc-1145	452	3	naomi	naomi	PROPN
sc-1145	452	4	dassi	dassi	PROPN
sc-1145	452	5	tchomté	tchomté	PROPN
sc-1145	452	6	et	et	PROPN
sc-1145	452	7	al	al	PROPN
sc-1145	452	8	.	.	PUNCT
sc-1145	453	1	eai	eai	PROPN
sc-1145	453	2	endorsed	endorse	VERB
sc-1145	453	3	transactions	transaction	NOUN
sc-1145	453	4	on	on	ADP
sc-1145	453	5	smart	smart	ADJ
sc-1145	453	6	cities	city	NOUN
sc-1145	453	7	06	06	NUM
sc-1145	453	8	2018	2018	NUM
sc-1145	453	9	02	02	NUM
sc-1145	453	10	2020	2020	NUM
sc-1145	453	11	|	|	ADV
sc-1145	453	12	volume	volume	NOUN
sc-1145	453	13	4	4	NUM
sc-1145	453	14	|	|	NOUN
sc-1145	453	15	issue	issue	VERB
sc-1145	453	16	9	9	NUM
sc-1145	453	17	|	|	CCONJ
sc-1145	453	18	e4	e4	PROPN
sc-1145	453	19	table	table	NOUN
sc-1145	453	20	9	9	NUM
sc-1145	453	21	.	.	PUNCT
sc-1145	454	1	first	first	ADJ
sc-1145	454	2	nine	nine	NUM
sc-1145	454	3	case	case	NOUN
sc-1145	454	4	solutions	solution	NOUN
sc-1145	454	5	expectedsolution	expectedsolution	NOUN
sc-1145	454	6	pso	pso	NOUN
sc-1145	454	7	mr	mr	PROPN
sc-1145	454	8	pm	pm	PROPN
sc-1145	454	9	classbasedmethod	classbasedmethod	NOUN
sc-1145	454	10	case	case	NOUN
sc-1145	454	11	1	1	NUM
sc-1145	454	12	16688	16688	NUM
sc-1145	454	13	16798.60	16798.60	NUM
sc-1145	454	14	15153	15153	NUM
sc-1145	454	15	15192	15192	NUM
sc-1145	454	16	17480	17480	NUM
sc-1145	454	17	case	case	NOUN
sc-1145	454	18	2	2	NUM
sc-1145	454	19	16934	16934	NUM
sc-1145	454	20	17032.85	17032.85	NUM
sc-1145	454	21	15153	15153	NUM
sc-1145	454	22	15192	15192	NUM
sc-1145	454	23	17480	17480	NUM
sc-1145	454	24	case	case	NOUN
sc-1145	454	25	3	3	NUM
sc-1145	454	26	16958	16958	NUM
sc-1145	454	27	16833.86	16833.86	NUM
sc-1145	454	28	15153	15153	NUM
sc-1145	454	29	15409	15409	NUM
sc-1145	454	30	16086	16086	NUM
sc-1145	454	31	case	case	NOUN
sc-1145	454	32	4	4	NUM
sc-1145	454	33	16058	16058	NUM
sc-1145	454	34	15809.71	15809.71	NUM
sc-1145	454	35	15153	15153	NUM
sc-1145	454	36	16911	16911	NUM
sc-1145	454	37	16086	16086	NUM
sc-1145	454	38	case	case	NOUN
sc-1145	454	39	5	5	NUM
sc-1145	454	40	18867	18867	NUM
sc-1145	454	41	18835.71	18835.71	NUM
sc-1145	454	42	15153	15153	NUM
sc-1145	454	43	15409	15409	NUM
sc-1145	454	44	16086	16086	NUM
sc-1145	454	45	case	case	NOUN
sc-1145	454	46	6	6	NUM
sc-1145	454	47	19554	19554	NUM
sc-1145	454	48	19572.17	19572.17	NUM
sc-1145	454	49	15153	15153	NUM
sc-1145	454	50	15409	15409	NUM
sc-1145	454	51	16086	16086	NUM
sc-1145	454	52	case	case	NOUN
sc-1145	454	53	7	7	NUM
sc-1145	454	54	20159	20159	NUM
sc-1145	454	55	20278.36	20278.36	NUM
sc-1145	454	56	15153	15153	NUM
sc-1145	454	57	15409	15409	NUM
sc-1145	454	58	16086	16086	NUM
sc-1145	454	59	case	case	NOUN
sc-1145	454	60	8	8	NUM
sc-1145	454	61	20143	20143	NUM
sc-1145	454	62	20127.56	20127.56	NUM
sc-1145	454	63	15153	15153	NUM
sc-1145	454	64	15409	15409	NUM
sc-1145	454	65	16086	16086	NUM
sc-1145	454	66	case	case	NOUN
sc-1145	454	67	9	9	NUM
sc-1145	454	68	18454	18454	NUM
sc-1145	454	69	18510.97	18510.97	NUM
sc-1145	454	70	15153	15153	NUM
sc-1145	454	71	15192	15192	NUM
sc-1145	454	72	16086	16086	NUM
sc-1145	454	73	table	table	NOUN
sc-1145	454	74	10	10	NUM
sc-1145	454	75	.	.	PUNCT
sc-1145	455	1	t	t	NOUN
sc-1145	455	2	-	-	PUNCT
sc-1145	455	3	test	test	NOUN
sc-1145	455	4	:	:	PUNCT
sc-1145	455	5	expected	expect	VERB
sc-1145	455	6	solutions	solution	NOUN
sc-1145	455	7	mean	mean	VERB
sc-1145	455	8	vs.	vs.	X
sc-1145	455	9	pso	pso	NOUN
sc-1145	455	10	mean	mean	NOUN
sc-1145	455	11	(	(	PUNCT
sc-1145	455	12	resp	resp	NOUN
sc-1145	455	13	.	.	PUNCT
sc-1145	456	1	mr	mr	PROPN
sc-1145	456	2	,	,	PUNCT
sc-1145	456	3	pm	pm	NOUN
sc-1145	456	4	,	,	PUNCT
sc-1145	456	5	cm	cm	NOUN
sc-1145	456	6	)	)	PUNCT
sc-1145	456	7	,	,	PUNCT
sc-1145	456	8	significance	significance	NOUN
sc-1145	456	9	level	level	NOUN
sc-1145	456	10	=	=	NOUN
sc-1145	456	11	0.05	0.05	NUM
sc-1145	456	12	.	.	PUNCT
sc-1145	457	1	es	es	PRON
sc-1145	457	2	:	:	PUNCT
sc-1145	457	3	expected	expect	VERB
sc-1145	457	4	solutions	solution	NOUN
sc-1145	457	5	t	t	NOUN
sc-1145	457	6	-	-	PUNCT
sc-1145	457	7	test	test	NOUN
sc-1145	457	8	:	:	PUNCT
sc-1145	457	9	paired	pair	VERB
sc-1145	457	10	two	two	NUM
sc-1145	457	11	samples	sample	NOUN
sc-1145	457	12	for	for	ADP
sc-1145	457	13	means	mean	NOUN
sc-1145	457	14	,	,	PUNCT
sc-1145	457	15	alpha	alpha	NOUN
sc-1145	457	16	=	=	NOUN
sc-1145	457	17	0.05	0.05	NUM
sc-1145	457	18	es	es	PRON
sc-1145	457	19	pso	pso	NOUN
sc-1145	457	20	es	es	ADP
sc-1145	457	21	mr	mr	PROPN
sc-1145	457	22	es	es	PROPN
sc-1145	457	23	pm	pm	VERB
sc-1145	457	24	es	es	NOUN
sc-1145	457	25	cm	cm	NOUN
sc-1145	457	26	mean	mean	NOUN
sc-1145	458	1	16714.4	16714.4	NUM
sc-1145	458	2	16769.6	16769.6	NUM
sc-1145	458	3	16714.4	16714.4	NUM
sc-1145	458	4	15153	15153	NUM
sc-1145	458	5	16714.4	16714.4	NUM
sc-1145	458	6	15588.8	15588.8	NUM
sc-1145	458	7	16714.4	16714.4	NUM
sc-1145	458	8	16503.1	16503.1	NUM
sc-1145	458	9	variance	variance	NOUN
sc-1145	458	10	1957287.0	1957287.0	NUM
sc-1145	458	11	2051434.9	2051434.9	NUM
sc-1145	458	12	1957287.0	1957287.0	NUM
sc-1145	458	13	0	0	NUM
sc-1145	458	14	1957287.0	1957287.0	NUM
sc-1145	458	15	401251.5	401251.5	NUM
sc-1145	458	16	1957287.0	1957287.0	NUM
sc-1145	458	17	409003.8	409003.8	NUM
sc-1145	458	18	observations	observation	NOUN
sc-1145	458	19	274	274	NUM
sc-1145	458	20	274	274	NUM
sc-1145	458	21	274	274	NUM
sc-1145	458	22	274	274	NUM
sc-1145	458	23	274	274	NUM
sc-1145	458	24	274	274	NUM
sc-1145	458	25	274	274	NUM
sc-1145	458	26	274	274	NUM
sc-1145	458	27	pearson	pearson	NOUN
sc-1145	458	28	correlation	correlation	NOUN
sc-1145	458	29	0.99	0.99	NUM
sc-1145	458	30	0.006	0.006	NUM
sc-1145	458	31	-0.10	-0.10	NUM
sc-1145	458	32	hypothesized	hypothesize	VERB
sc-1145	458	33	mean	mean	ADJ
sc-1145	458	34	difference	difference	NOUN
sc-1145	458	35	0	0	NUM
sc-1145	458	36	0	0	NUM
sc-1145	458	37	0	0	NUM
sc-1145	458	38	0	0	NUM
sc-1145	458	39	df	df	PROPN
sc-1145	458	40	546	546	NUM
sc-1145	458	41	273	273	NUM
sc-1145	458	42	380	380	NUM
sc-1145	458	43	382	382	NUM
sc-1145	458	44	t	t	PROPN
sc-1145	458	45	-	-	PUNCT
sc-1145	458	46	stat	stat	NOUN
sc-1145	458	47	-0.45	-0.45	NUM
sc-1145	458	48	18.47	18.47	NUM
sc-1145	458	49	12.13	12.13	NUM
sc-1145	458	50	2.27	2.27	NUM
sc-1145	458	51	p(t<=t	p(t<=t	NUM
sc-1145	458	52	)	)	PUNCT
sc-1145	458	53	one	one	NUM
sc-1145	458	54	tail	tail	NOUN
sc-1145	458	55	0,32	0,32	X
sc-1145	458	56	2.69855e-50	2.69855e-50	NUM
sc-1145	458	57	3.72486e-29	3.72486e-29	NUM
sc-1145	458	58	0.01	0.01	NUM
sc-1145	458	59	t	t	NOUN
sc-1145	458	60	critical	critical	ADJ
sc-1145	458	61	one	one	NUM
sc-1145	458	62	tail	tail	NOUN
sc-1145	458	63	1.64	1.64	NUM
sc-1145	458	64	1.650454303	1.650454303	NUM
sc-1145	458	65	1.64	1.64	NUM
sc-1145	458	66	1.64	1.64	NUM
sc-1145	458	67	p(t<=t	p(t<=t	NUM
sc-1145	458	68	)	)	PUNCT
sc-1145	458	69	two	two	NUM
sc-1145	458	70	tail	tail	NOUN
sc-1145	458	71	0.64	0.64	NUM
sc-1145	458	72	5.3971e-50	5.3971e-50	NUM
sc-1145	458	73	7.44973e-29	7.44973e-29	NUM
sc-1145	458	74	0.02	0.02	NUM
sc-1145	458	75	t	t	NOUN
sc-1145	458	76	critical	critical	ADJ
sc-1145	458	77	two	two	NUM
sc-1145	458	78	tail	tail	NOUN
sc-1145	458	79	1.96	1.96	NUM
sc-1145	458	80	1.96	1.96	NUM
sc-1145	458	81	1.96	1.96	NUM
sc-1145	458	82	1.96	1.96	NUM
sc-1145	458	83	table	table	NOUN
sc-1145	458	84	11	11	NUM
sc-1145	458	85	.	.	PUNCT
sc-1145	459	1	experiments	experiment	NOUN
sc-1145	459	2	about	about	ADP
sc-1145	459	3	dataset	dataset	ADJ
sc-1145	459	4	splitting	splitting	NOUN
sc-1145	459	5	vs.	vs.	ADP
sc-1145	459	6	revise	revise	NOUN
sc-1145	459	7	accuracy	accuracy	NOUN
sc-1145	459	8	subdivisions	subdivision	NOUN
sc-1145	459	9	(	(	PUNCT
sc-1145	459	10	training	training	NOUN
sc-1145	459	11	,	,	PUNCT
sc-1145	459	12	testing	testing	NOUN
sc-1145	459	13	)	)	PUNCT
sc-1145	459	14	(	(	PUNCT
sc-1145	459	15	50,50	50,50	X
sc-1145	459	16	)	)	PUNCT
sc-1145	459	17	(	(	PUNCT
sc-1145	459	18	55,45	55,45	NOUN
sc-1145	459	19	)	)	PUNCT
sc-1145	459	20	(	(	PUNCT
sc-1145	459	21	60,40	60,40	NOUN
sc-1145	459	22	)	)	PUNCT
sc-1145	459	23	(	(	PUNCT
sc-1145	459	24	65,35	65,35	NOUN
sc-1145	459	25	)	)	PUNCT
sc-1145	459	26	(	(	PUNCT
sc-1145	459	27	70,30	70,30	NUM
sc-1145	459	28	)	)	PUNCT
sc-1145	459	29	(	(	PUNCT
sc-1145	459	30	75,25	75,25	NUM
sc-1145	459	31	)	)	PUNCT
sc-1145	459	32	(	(	PUNCT
sc-1145	459	33	80,20	80,20	NUM
sc-1145	459	34	)	)	PUNCT
sc-1145	459	35	(	(	PUNCT
sc-1145	459	36	85,15	85,15	NUM
sc-1145	459	37	)	)	PUNCT
sc-1145	459	38	(	(	PUNCT
sc-1145	459	39	90,10	90,10	NUM
sc-1145	459	40	)	)	PUNCT
sc-1145	459	41	(	(	PUNCT
sc-1145	459	42	95,5	95,5	NUM
sc-1145	459	43	)	)	PUNCT
sc-1145	459	44	regression	regression	NOUN
sc-1145	459	45	accuracy	accuracy	NOUN
sc-1145	459	46	69.24	69.24	NUM
sc-1145	459	47	86.24	86.24	NUM
sc-1145	459	48	75.24	75.24	NUM
sc-1145	459	49	76.23	76.23	NUM
sc-1145	459	50	90.13	90.13	NUM
sc-1145	459	51	99.35	99.35	NUM
sc-1145	459	52	88.20	88.20	NUM
sc-1145	459	53	79.99	79.99	NUM
sc-1145	459	54	95.12	95.12	NUM
sc-1145	459	55	84.6	84.6	NUM
sc-1145	459	56	table	table	NOUN
sc-1145	459	57	12	12	NUM
sc-1145	459	58	.	.	PUNCT
sc-1145	460	1	t	t	NOUN
sc-1145	460	2	-	-	PUNCT
sc-1145	460	3	test	test	NOUN
sc-1145	460	4	:	:	PUNCT
sc-1145	460	5	expected	expect	VERB
sc-1145	460	6	solutions	solution	NOUN
sc-1145	460	7	mean	mean	VERB
sc-1145	460	8	vs.	vs.	ADP
sc-1145	460	9	reuse	reuse	NOUN
sc-1145	460	10	mean	mean	NOUN
sc-1145	460	11	(	(	PUNCT
sc-1145	460	12	resp	resp	NOUN
sc-1145	460	13	.	.	PUNCT
sc-1145	461	1	revise	revise	NOUN
sc-1145	461	2	mean	mean	NOUN
sc-1145	461	3	)	)	PUNCT
sc-1145	461	4	significance	significance	NOUN
sc-1145	461	5	level	level	NOUN
sc-1145	461	6	=	=	NOUN
sc-1145	461	7	0.05	0.05	NUM
sc-1145	461	8	.	.	PUNCT
sc-1145	462	1	es	es	PRON
sc-1145	462	2	:	:	PUNCT
sc-1145	462	3	expected	expect	VERB
sc-1145	462	4	solutions	solution	NOUN
sc-1145	462	5	t	t	NOUN
sc-1145	462	6	-	-	PUNCT
sc-1145	462	7	test	test	NOUN
sc-1145	462	8	:	:	PUNCT
sc-1145	462	9	paired	pair	VERB
sc-1145	462	10	two	two	NUM
sc-1145	462	11	samples	sample	NOUN
sc-1145	462	12	for	for	ADP
sc-1145	462	13	means	mean	NOUN
sc-1145	462	14	,	,	PUNCT
sc-1145	462	15	alpha	alpha	NOUN
sc-1145	462	16	=	=	NOUN
sc-1145	462	17	0.05	0.05	NUM
sc-1145	462	18	es	es	NOUN
sc-1145	462	19	reusesolutions	reusesolution	NOUN
sc-1145	462	20	es	es	NOUN
sc-1145	462	21	revisesolutions	revisesolution	NOUN
sc-1145	462	22	mean	mean	VERB
sc-1145	462	23	16714.4	16714.4	NUM
sc-1145	462	24	16769.64	16769.64	NUM
sc-1145	462	25	16714.4	16714.4	NUM
sc-1145	462	26	16713.18	16713.18	NUM
sc-1145	462	27	variance	variance	NOUN
sc-1145	462	28	1957287.0	1957287.0	NUM
sc-1145	462	29	2051434.904	2051434.904	NUM
sc-1145	462	30	1957287.0	1957287.0	NUM
sc-1145	462	31	1938675.069	1938675.069	NUM
sc-1145	462	32	observations	observation	NOUN
sc-1145	462	33	274	274	NUM
sc-1145	462	34	274	274	NUM
sc-1145	462	35	274	274	NUM
sc-1145	462	36	274	274	NUM
sc-1145	462	37	pearson	pearson	NOUN
sc-1145	462	38	correlation	correlation	NOUN
sc-1145	462	39	0.995	0.995	NUM
sc-1145	462	40	0.999	0.999	NUM
sc-1145	462	41	hypothesized	hypothesize	VERB
sc-1145	462	42	mean	mean	ADJ
sc-1145	462	43	difference	difference	NOUN
sc-1145	462	44	0	0	NUM
sc-1145	462	45	0	0	NUM
sc-1145	462	46	df	df	PROPN
sc-1145	462	47	546	546	NUM
sc-1145	462	48	546	546	NUM
sc-1145	462	49	t	t	PROPN
sc-1145	462	50	-	-	PUNCT
sc-1145	462	51	stat	stat	NOUN
sc-1145	462	52	-0.45	-0.45	NUM
sc-1145	462	53	0,01	0,01	NUM
sc-1145	462	54	p(t<=t	p(t<=t	NUM
sc-1145	462	55	)	)	PUNCT
sc-1145	462	56	one	one	NUM
sc-1145	462	57	tail	tail	NOUN
sc-1145	462	58	0.32	0.32	NUM
sc-1145	462	59	0,49	0,49	NUM
sc-1145	462	60	t	t	NOUN
sc-1145	462	61	critical	critical	ADJ
sc-1145	462	62	one	one	NUM
sc-1145	462	63	tail	tail	NOUN
sc-1145	462	64	1.64	1.64	NUM
sc-1145	462	65	1,64	1,64	NUM
sc-1145	462	66	p(t<=t	p(t<=t	NUM
sc-1145	462	67	)	)	PUNCT
sc-1145	462	68	two	two	NUM
sc-1145	462	69	tail	tail	NOUN
sc-1145	462	70	0.64	0.64	NUM
sc-1145	462	71	0,991	0,991	NUM
sc-1145	462	72	t	t	NOUN
sc-1145	462	73	critical	critical	ADJ
sc-1145	462	74	two	two	NUM
sc-1145	462	75	tail	tail	NOUN
sc-1145	462	76	1,96	1,96	NOUN
sc-1145	462	77	1,96	1,96	NUM
sc-1145	462	78	is	be	AUX
sc-1145	462	79	appropriate	appropriate	ADJ
sc-1145	462	80	to	to	ADP
sc-1145	462	81	approximate	approximate	ADJ
sc-1145	462	82	expectedsolution	expectedsolution	NOUN
sc-1145	462	83	.	.	PUNCT
sc-1145	463	1	concerning	concern	VERB
sc-1145	463	2	revise	revise	PROPN
sc-1145	463	3	,	,	PUNCT
sc-1145	463	4	p	p	X
sc-1145	463	5	(	(	PUNCT
sc-1145	463	6	t	t	NOUN
sc-1145	463	7	<	<	X
sc-1145	463	8	=	=	PROPN
sc-1145	463	9	t	t	PROPN
sc-1145	463	10	)	)	PUNCT
sc-1145	463	11	=	=	NOUN
sc-1145	463	12	0.991	0.991	NUM
sc-1145	463	13	>	>	PUNCT
sc-1145	463	14	0.05	0.05	NUM
sc-1145	463	15	,	,	PUNCT
sc-1145	463	16	so	so	CCONJ
sc-1145	463	17	the	the	DET
sc-1145	463	18	difference	difference	NOUN
sc-1145	463	19	between	between	ADP
sc-1145	463	20	both	both	DET
sc-1145	463	21	samples	sample	NOUN
sc-1145	463	22	is	be	AUX
sc-1145	463	23	not	not	PART
sc-1145	463	24	significant	significant	ADJ
sc-1145	463	25	.	.	PUNCT
sc-1145	464	1	in	in	ADP
sc-1145	464	2	terms	term	NOUN
sc-1145	464	3	of	of	ADP
sc-1145	464	4	mean	mean	ADJ
sc-1145	464	5	,	,	PUNCT
sc-1145	464	6	revise	revise	PROPN
sc-1145	464	7	is	be	AUX
sc-1145	464	8	statistically	statistically	ADV
sc-1145	464	9	equals	equal	VERB
sc-1145	464	10	to	to	ADP
sc-1145	464	11	expectsolution	expectsolution	NOUN
sc-1145	464	12	.	.	PUNCT
sc-1145	465	1	revise	revise	NOUN
sc-1145	465	2	is	be	AUX
sc-1145	465	3	also	also	ADV
sc-1145	465	4	appropriate	appropriate	ADJ
sc-1145	465	5	to	to	PART
sc-1145	465	6	approximate	approximate	VERB
sc-1145	465	7	the	the	DET
sc-1145	465	8	expected	expect	VERB
sc-1145	465	9	solutions	solution	NOUN
sc-1145	465	10	with	with	ADP
sc-1145	465	11	5	5	NUM
sc-1145	465	12	%	%	NOUN
sc-1145	465	13	chance	chance	NOUN
sc-1145	465	14	to	to	PART
sc-1145	465	15	be	be	AUX
sc-1145	465	16	mistaken	mistake	VERB
sc-1145	465	17	.	.	PUNCT
sc-1145	466	1	however	however	ADV
sc-1145	466	2	,	,	PUNCT
sc-1145	466	3	15	15	NUM
sc-1145	466	4	a	a	DET
sc-1145	466	5	case	case	NOUN
sc-1145	466	6	based	base	VERB
sc-1145	466	7	reasoning	reasoning	NOUN
sc-1145	466	8	coupling	couple	VERB
sc-1145	466	9	multi	multi	ADJ
sc-1145	466	10	-	-	ADJ
sc-1145	466	11	criteria	criterion	NOUN
sc-1145	466	12	decision	decision	NOUN
sc-1145	466	13	making	make	VERB
sc-1145	466	14	with	with	ADP
sc-1145	466	15	learning	learning	NOUN
sc-1145	466	16	and	and	CCONJ
sc-1145	466	17	optimization	optimization	NOUN
sc-1145	466	18	intelligences	intelligence	NOUN
sc-1145	466	19	:	:	PUNCT
sc-1145	466	20	application	application	NOUN
sc-1145	466	21	to	to	ADP
sc-1145	466	22	energy	energy	NOUN
sc-1145	466	23	consumption	consumption	NOUN
sc-1145	466	24	eai	eai	NOUN
sc-1145	466	25	endorsed	endorse	VERB
sc-1145	466	26	transactions	transaction	NOUN
sc-1145	466	27	on	on	ADP
sc-1145	466	28	smart	smart	ADJ
sc-1145	466	29	cities	city	NOUN
sc-1145	466	30	06	06	NUM
sc-1145	466	31	2018	2018	NUM
sc-1145	466	32	02	02	NUM
sc-1145	466	33	2020	2020	NUM
sc-1145	466	34	|	|	ADV
sc-1145	466	35	volume	volume	NOUN
sc-1145	466	36	4	4	NUM
sc-1145	467	1	|	|	NOUN
sc-1145	467	2	issue	issue	VERB
sc-1145	467	3	9	9	NUM
sc-1145	467	4	|	|	NOUN
sc-1145	467	5	e4	e4	PROPN
sc-1145	467	6	to	to	PART
sc-1145	467	7	choose	choose	VERB
sc-1145	467	8	the	the	DET
sc-1145	467	9	model	model	NOUN
sc-1145	467	10	that	that	PRON
sc-1145	467	11	best	good	ADJ
sc-1145	467	12	approximates	approximate	NOUN
sc-1145	467	13	,	,	PUNCT
sc-1145	467	14	we	we	PRON
sc-1145	467	15	refer	refer	VERB
sc-1145	467	16	to	to	PART
sc-1145	467	17	mean	mean	VERB
sc-1145	467	18	and	and	CCONJ
sc-1145	467	19	correlation	correlation	NOUN
sc-1145	467	20	coefficient	coefficient	NOUN
sc-1145	467	21	values	value	NOUN
sc-1145	467	22	.	.	PUNCT
sc-1145	468	1	the	the	DET
sc-1145	468	2	results	result	NOUN
sc-1145	468	3	illustrate	illustrate	VERB
sc-1145	468	4	that	that	DET
sc-1145	468	5	expectedsolution	expectedsolution	NOUN
sc-1145	468	6	and	and	CCONJ
sc-1145	468	7	revise	revise	NOUN
sc-1145	468	8	means	mean	VERB
sc-1145	468	9	are	be	AUX
sc-1145	468	10	very	very	ADV
sc-1145	468	11	close	close	ADJ
sc-1145	468	12	(	(	PUNCT
sc-1145	468	13	16713	16713	NUM
sc-1145	468	14	and	and	CCONJ
sc-1145	468	15	16714	16714	NUM
sc-1145	468	16	)	)	PUNCT
sc-1145	468	17	.	.	PUNCT
sc-1145	469	1	additionnally	additionnally	ADV
sc-1145	469	2	,	,	PUNCT
sc-1145	469	3	the	the	DET
sc-1145	469	4	correlation	correlation	NOUN
sc-1145	469	5	coefficient	coefficient	NOUN
sc-1145	469	6	between	between	ADP
sc-1145	469	7	expectedsolution	expectedsolution	NOUN
sc-1145	469	8	and	and	CCONJ
sc-1145	469	9	revise	revise	NOUN
sc-1145	469	10	is	be	AUX
sc-1145	469	11	closest	close	ADJ
sc-1145	469	12	to	to	ADP
sc-1145	469	13	1	1	NUM
sc-1145	469	14	(	(	PUNCT
sc-1145	469	15	0.9998	0.9998	NUM
sc-1145	469	16	)	)	PUNCT
sc-1145	469	17	compared	compare	VERB
sc-1145	469	18	to	to	ADP
sc-1145	469	19	expectedsolution	expectedsolution	NOUN
sc-1145	469	20	and	and	CCONJ
sc-1145	469	21	reuse	reuse	NOUN
sc-1145	469	22	(	(	PUNCT
sc-1145	469	23	0.995	0.995	NUM
sc-1145	469	24	)	)	PUNCT
sc-1145	469	25	.	.	PUNCT
sc-1145	470	1	the	the	DET
sc-1145	470	2	revise	revise	PROPN
sc-1145	470	3	model	model	NOUN
sc-1145	470	4	is	be	AUX
sc-1145	470	5	therefore	therefore	ADV
sc-1145	470	6	the	the	DET
sc-1145	470	7	model	model	NOUN
sc-1145	470	8	that	that	PRON
sc-1145	470	9	best	good	ADJ
sc-1145	470	10	approximates	approximate	VERB
sc-1145	470	11	the	the	DET
sc-1145	470	12	expected	expect	VERB
sc-1145	470	13	values	value	NOUN
sc-1145	470	14	.	.	PUNCT
sc-1145	471	1	5.4	5.4	NUM
sc-1145	471	2	.	.	PUNCT
sc-1145	471	3	study	study	NOUN
sc-1145	471	4	of	of	ADP
sc-1145	471	5	k	k	PROPN
sc-1145	471	6	-	-	PUNCT
sc-1145	471	7	nn	nn	ADJ
sc-1145	471	8	and	and	CCONJ
sc-1145	471	9	pso	pso	NOUN
sc-1145	471	10	parameters	parameter	NOUN
sc-1145	471	11	on	on	ADP
sc-1145	471	12	the	the	DET
sc-1145	471	13	determination	determination	NOUN
sc-1145	471	14	of	of	ADP
sc-1145	471	15	solutions	solution	NOUN
sc-1145	471	16	this	this	DET
sc-1145	471	17	step	step	NOUN
sc-1145	471	18	investigates	investigate	VERB
sc-1145	471	19	the	the	DET
sc-1145	471	20	incidence	incidence	NOUN
sc-1145	471	21	of	of	ADP
sc-1145	471	22	variability	variability	NOUN
sc-1145	471	23	of	of	ADP
sc-1145	471	24	pso	pso	NOUN
sc-1145	471	25	and	and	CCONJ
sc-1145	471	26	k	k	PROPN
sc-1145	471	27	-	-	PUNCT
sc-1145	471	28	nn	nn	ADJ
sc-1145	471	29	parameters	parameter	NOUN
sc-1145	471	30	,	,	PUNCT
sc-1145	471	31	on	on	ADP
sc-1145	471	32	the	the	DET
sc-1145	471	33	determination	determination	NOUN
sc-1145	471	34	of	of	ADP
sc-1145	471	35	similar	similar	ADJ
sc-1145	471	36	cases	case	NOUN
sc-1145	471	37	.	.	PUNCT
sc-1145	472	1	number	number	NOUN
sc-1145	472	2	of	of	ADP
sc-1145	472	3	neighbors	neighbor	NOUN
sc-1145	472	4	table	table	VERB
sc-1145	472	5	13	13	NUM
sc-1145	472	6	provides	provide	VERB
sc-1145	472	7	the	the	DET
sc-1145	472	8	similar	similar	ADJ
sc-1145	472	9	cases	case	NOUN
sc-1145	472	10	for	for	ADP
sc-1145	472	11	case	case	NOUN
sc-1145	472	12	1	1	NUM
sc-1145	472	13	based	base	VERB
sc-1145	472	14	on	on	ADP
sc-1145	472	15	the	the	DET
sc-1145	472	16	number	number	NOUN
sc-1145	472	17	of	of	ADP
sc-1145	472	18	neighbours	neighbour	NOUN
sc-1145	472	19	in	in	ADP
sc-1145	472	20	k	k	PROPN
sc-1145	472	21	-	-	PUNCT
sc-1145	472	22	nn	nn	PROPN
sc-1145	472	23	.	.	PROPN
sc-1145	472	24	for	for	ADP
sc-1145	472	25	each	each	DET
sc-1145	472	26	k	k	NOUN
sc-1145	472	27	,	,	PUNCT
sc-1145	472	28	the	the	DET
sc-1145	472	29	similar	similar	ADJ
sc-1145	472	30	cases	case	NOUN
sc-1145	472	31	are	be	AUX
sc-1145	472	32	ordered	order	VERB
sc-1145	472	33	based	base	VERB
sc-1145	472	34	on	on	ADP
sc-1145	472	35	the	the	DET
sc-1145	472	36	distance	distance	NOUN
sc-1145	472	37	considering	consider	VERB
sc-1145	472	38	the	the	DET
sc-1145	472	39	fourteen	fourteen	NUM
sc-1145	472	40	attributes	attribute	NOUN
sc-1145	472	41	.	.	PUNCT
sc-1145	473	1	as	as	SCONJ
sc-1145	473	2	k	k	PROPN
sc-1145	473	3	is	be	AUX
sc-1145	473	4	reduced	reduce	VERB
sc-1145	473	5	,	,	PUNCT
sc-1145	473	6	the	the	DET
sc-1145	473	7	k	k	PROPN
sc-1145	473	8	-	-	PUNCT
sc-1145	473	9	nn	nn	ADJ
sc-1145	473	10	algorithm	algorithm	NOUN
sc-1145	473	11	selects	select	VERB
sc-1145	473	12	the	the	DET
sc-1145	473	13	most	most	ADV
sc-1145	473	14	similar	similar	ADJ
sc-1145	473	15	cases	case	NOUN
sc-1145	473	16	.	.	PUNCT
sc-1145	474	1	the	the	DET
sc-1145	474	2	most	most	ADV
sc-1145	474	3	similar	similar	ADJ
sc-1145	474	4	cases	case	NOUN
sc-1145	474	5	are	be	AUX
sc-1145	474	6	performed	perform	VERB
sc-1145	474	7	until	until	SCONJ
sc-1145	474	8	the	the	DET
sc-1145	474	9	selection	selection	NOUN
sc-1145	474	10	is	be	AUX
sc-1145	474	11	done	do	VERB
sc-1145	474	12	for	for	ADP
sc-1145	474	13	k	k	PROPN
sc-1145	474	14	=	=	SYM
sc-1145	474	15	1	1	X
sc-1145	474	16	.	.	PUNCT
sc-1145	474	17	table	table	NOUN
sc-1145	474	18	13	13	NUM
sc-1145	474	19	reveals	reveal	VERB
sc-1145	474	20	that	that	SCONJ
sc-1145	474	21	case	case	NOUN
sc-1145	474	22	57	57	NUM
sc-1145	474	23	is	be	AUX
sc-1145	474	24	the	the	DET
sc-1145	474	25	neighbour	neighbour	NOUN
sc-1145	474	26	closest	close	ADJ
sc-1145	474	27	to	to	PART
sc-1145	474	28	case	case	VERB
sc-1145	474	29	1	1	NUM
sc-1145	474	30	for	for	ADP
sc-1145	474	31	k	k	PROPN
sc-1145	474	32	=	=	SYM
sc-1145	474	33	1	1	X
sc-1145	474	34	.	.	X
sc-1145	474	35	figure	figure	NOUN
sc-1145	474	36	12	12	NUM
sc-1145	474	37	shows	show	VERB
sc-1145	474	38	different	different	ADJ
sc-1145	474	39	case	case	NOUN
sc-1145	474	40	values	value	NOUN
sc-1145	474	41	for	for	ADP
sc-1145	474	42	k	k	PROPN
sc-1145	474	43	=	=	SYM
sc-1145	474	44	10	10	NUM
sc-1145	474	45	and	and	CCONJ
sc-1145	474	46	case	case	NOUN
sc-1145	474	47	57	57	NUM
sc-1145	474	48	is	be	AUX
sc-1145	474	49	found	find	VERB
sc-1145	474	50	as	as	ADP
sc-1145	474	51	the	the	DET
sc-1145	474	52	most	most	ADV
sc-1145	474	53	closest	close	ADJ
sc-1145	474	54	to	to	PART
sc-1145	474	55	case	case	VERB
sc-1145	474	56	1	1	NUM
sc-1145	474	57	in	in	ADP
sc-1145	474	58	terms	term	NOUN
sc-1145	474	59	of	of	ADP
sc-1145	474	60	system_load	system_load	PROPN
sc-1145	474	61	prediction	prediction	NOUN
sc-1145	474	62	.	.	PUNCT
sc-1145	475	1	this	this	DET
sc-1145	475	2	experiment	experiment	NOUN
sc-1145	475	3	demonstrates	demonstrate	VERB
sc-1145	475	4	that	that	SCONJ
sc-1145	475	5	while	while	SCONJ
sc-1145	475	6	varying	vary	VERB
sc-1145	475	7	k	k	PROPN
sc-1145	475	8	,	,	PUNCT
sc-1145	475	9	k	k	PROPN
sc-1145	475	10	-	-	PUNCT
sc-1145	475	11	nn	nn	PROPN
sc-1145	475	12	remains	remain	VERB
sc-1145	475	13	consistent	consistent	ADJ
sc-1145	475	14	in	in	ADP
sc-1145	475	15	the	the	DET
sc-1145	475	16	selection	selection	NOUN
sc-1145	475	17	of	of	ADP
sc-1145	475	18	most	most	ADJ
sc-1145	475	19	similar	similar	ADJ
sc-1145	475	20	cases	case	NOUN
sc-1145	475	21	.	.	PUNCT
sc-1145	476	1	this	this	DET
sc-1145	476	2	result	result	NOUN
sc-1145	476	3	means	mean	VERB
sc-1145	476	4	that	that	SCONJ
sc-1145	476	5	the	the	DET
sc-1145	476	6	approach	approach	NOUN
sc-1145	476	7	used	use	VERB
sc-1145	476	8	to	to	PART
sc-1145	476	9	determine	determine	VERB
sc-1145	476	10	similar	similar	ADJ
sc-1145	476	11	cases	case	NOUN
sc-1145	476	12	is	be	AUX
sc-1145	476	13	effective	effective	ADJ
sc-1145	476	14	.	.	PUNCT
sc-1145	477	1	figure	figure	NOUN
sc-1145	477	2	12	12	NUM
sc-1145	477	3	.	.	PUNCT
sc-1145	478	1	similar	similar	ADJ
sc-1145	478	2	cases	case	NOUN
sc-1145	478	3	for	for	ADP
sc-1145	478	4	case	case	NOUN
sc-1145	478	5	1	1	NUM
sc-1145	478	6	pso	pso	NOUN
sc-1145	478	7	executions	execution	NOUN
sc-1145	478	8	case	case	NOUN
sc-1145	478	9	5	5	NUM
sc-1145	478	10	is	be	AUX
sc-1145	478	11	investigated	investigate	VERB
sc-1145	478	12	to	to	PART
sc-1145	478	13	analyze	analyze	VERB
sc-1145	478	14	the	the	DET
sc-1145	478	15	relation	relation	NOUN
sc-1145	478	16	between	between	ADP
sc-1145	478	17	the	the	DET
sc-1145	478	18	number	number	NOUN
sc-1145	478	19	k	k	PROPN
sc-1145	478	20	of	of	ADP
sc-1145	478	21	neighbours	neighbour	NOUN
sc-1145	478	22	and	and	CCONJ
sc-1145	478	23	the	the	DET
sc-1145	478	24	objective	objective	ADJ
sc-1145	478	25	function	function	NOUN
sc-1145	478	26	value	value	NOUN
sc-1145	478	27	.	.	PUNCT
sc-1145	479	1	table	table	NOUN
sc-1145	479	2	14	14	NUM
sc-1145	479	3	provides	provide	VERB
sc-1145	479	4	results	result	NOUN
sc-1145	479	5	.	.	PUNCT
sc-1145	480	1	the	the	DET
sc-1145	480	2	estimation	estimation	NOUN
sc-1145	480	3	of	of	ADP
sc-1145	480	4	case	case	NOUN
sc-1145	480	5	5	5	NUM
sc-1145	480	6	’s	’s	PART
sc-1145	480	7	solution	solution	NOUN
sc-1145	480	8	with	with	ADP
sc-1145	480	9	pso	pso	NOUN
sc-1145	480	10	is	be	AUX
sc-1145	480	11	independent	independent	ADJ
sc-1145	480	12	to	to	ADP
sc-1145	480	13	the	the	DET
sc-1145	480	14	number	number	NOUN
sc-1145	480	15	of	of	ADP
sc-1145	480	16	executions	execution	NOUN
sc-1145	480	17	of	of	ADP
sc-1145	480	18	pso	pso	NOUN
sc-1145	480	19	.	.	PUNCT
sc-1145	481	1	it	it	PRON
sc-1145	481	2	is	be	AUX
sc-1145	481	3	justified	justify	VERB
sc-1145	481	4	by	by	ADP
sc-1145	481	5	the	the	DET
sc-1145	481	6	fact	fact	NOUN
sc-1145	481	7	that	that	SCONJ
sc-1145	481	8	the	the	DET
sc-1145	481	9	estimated	estimate	VERB
sc-1145	481	10	solution	solution	NOUN
sc-1145	481	11	remains	remain	VERB
sc-1145	481	12	the	the	DET
sc-1145	481	13	same	same	ADJ
sc-1145	481	14	across	across	ADP
sc-1145	481	15	k	k	PROPN
sc-1145	481	16	and	and	CCONJ
sc-1145	481	17	the	the	DET
sc-1145	481	18	objective	objective	ADJ
sc-1145	481	19	function	function	NOUN
sc-1145	481	20	is	be	AUX
sc-1145	481	21	constant	constant	ADJ
sc-1145	481	22	.	.	PUNCT
sc-1145	482	1	a	a	DET
sc-1145	482	2	better	well	ADJ
sc-1145	482	3	value	value	NOUN
sc-1145	482	4	of	of	ADP
sc-1145	482	5	the	the	DET
sc-1145	482	6	objective	objective	ADJ
sc-1145	482	7	function	function	NOUN
sc-1145	482	8	is	be	AUX
sc-1145	482	9	attained	attain	VERB
sc-1145	482	10	when	when	SCONJ
sc-1145	482	11	k	k	PROPN
sc-1145	482	12	takes	take	VERB
sc-1145	482	13	the	the	DET
sc-1145	482	14	value	value	NOUN
sc-1145	482	15	of	of	ADP
sc-1145	482	16	10	10	NUM
sc-1145	482	17	.	.	PUNCT
sc-1145	483	1	5.5	5.5	NUM
sc-1145	483	2	.	.	PUNCT
sc-1145	484	1	discussions	discussion	NOUN
sc-1145	484	2	determination	determination	NOUN
sc-1145	484	3	of	of	ADP
sc-1145	484	4	similar	similar	ADJ
sc-1145	484	5	cases	case	NOUN
sc-1145	484	6	.	.	PUNCT
sc-1145	485	1	determination	determination	NOUN
sc-1145	485	2	of	of	ADP
sc-1145	485	3	similar	similar	ADJ
sc-1145	485	4	cases	case	NOUN
sc-1145	485	5	.	.	PUNCT
sc-1145	486	1	existing	exist	VERB
sc-1145	486	2	works	work	NOUN
sc-1145	486	3	determine	determine	VERB
sc-1145	486	4	similar	similar	ADJ
sc-1145	486	5	cases	case	NOUN
sc-1145	486	6	in	in	ADP
sc-1145	486	7	the	the	DET
sc-1145	486	8	retrieve	retrieve	NOUN
sc-1145	486	9	process	process	NOUN
sc-1145	486	10	based	base	VERB
sc-1145	486	11	on	on	ADP
sc-1145	486	12	euclidean	euclidean	ADJ
sc-1145	486	13	distance	distance	NOUN
sc-1145	486	14	models	model	NOUN
sc-1145	486	15	by	by	ADP
sc-1145	486	16	randomly	randomly	ADV
sc-1145	486	17	selecting	select	VERB
sc-1145	486	18	the	the	DET
sc-1145	486	19	number	number	NOUN
sc-1145	486	20	of	of	ADP
sc-1145	486	21	similar	similar	ADJ
sc-1145	486	22	cases	case	NOUN
sc-1145	486	23	.	.	PUNCT
sc-1145	487	1	this	this	DET
sc-1145	487	2	work	work	NOUN
sc-1145	487	3	proposes	propose	VERB
sc-1145	487	4	a	a	DET
sc-1145	487	5	new	new	ADJ
sc-1145	487	6	scheme	scheme	NOUN
sc-1145	487	7	based	base	VERB
sc-1145	487	8	not	not	PART
sc-1145	487	9	only	only	ADV
sc-1145	487	10	on	on	ADP
sc-1145	487	11	euclidean	euclidean	ADJ
sc-1145	487	12	distance	distance	NOUN
sc-1145	487	13	but	but	CCONJ
sc-1145	487	14	also	also	ADV
sc-1145	487	15	on	on	ADP
sc-1145	487	16	k	k	PROPN
sc-1145	487	17	-	-	PUNCT
sc-1145	487	18	nn	nn	PROPN
sc-1145	487	19	and	and	CCONJ
sc-1145	487	20	k	k	NOUN
sc-1145	487	21	-	-	PUNCT
sc-1145	487	22	means	means	NOUN
sc-1145	487	23	for	for	ADP
sc-1145	487	24	two	two	NUM
sc-1145	487	25	reasons	reason	NOUN
sc-1145	487	26	:	:	PUNCT
sc-1145	487	27	the	the	DET
sc-1145	487	28	first	first	ADJ
sc-1145	487	29	reason	reason	NOUN
sc-1145	487	30	is	be	AUX
sc-1145	487	31	to	to	PART
sc-1145	487	32	take	take	VERB
sc-1145	487	33	into	into	ADP
sc-1145	487	34	account	account	NOUN
sc-1145	487	35	continuous	continuous	ADJ
sc-1145	487	36	solutions	solution	NOUN
sc-1145	487	37	using	use	VERB
sc-1145	487	38	k	k	NOUN
sc-1145	487	39	-	-	PUNCT
sc-1145	487	40	means	means	NOUN
sc-1145	487	41	to	to	PART
sc-1145	487	42	create	create	VERB
sc-1145	487	43	clusters	cluster	NOUN
sc-1145	487	44	.	.	PUNCT
sc-1145	488	1	the	the	DET
sc-1145	488	2	second	second	ADJ
sc-1145	488	3	reason	reason	NOUN
sc-1145	488	4	is	be	AUX
sc-1145	488	5	that	that	SCONJ
sc-1145	488	6	the	the	DET
sc-1145	488	7	hyper	hyper	NOUN
sc-1145	488	8	-	-	NOUN
sc-1145	488	9	parameter	parameter	NOUN
sc-1145	488	10	k	k	PROPN
sc-1145	488	11	is	be	AUX
sc-1145	488	12	very	very	ADV
sc-1145	488	13	useful	useful	ADJ
sc-1145	488	14	to	to	PART
sc-1145	488	15	set	set	VERB
sc-1145	488	16	the	the	DET
sc-1145	488	17	number	number	NOUN
sc-1145	488	18	of	of	ADP
sc-1145	488	19	similar	similar	ADJ
sc-1145	488	20	cases	case	NOUN
sc-1145	488	21	taken	take	VERB
sc-1145	488	22	here	here	ADV
sc-1145	488	23	as	as	ADP
sc-1145	488	24	the	the	DET
sc-1145	488	25	number	number	NOUN
sc-1145	488	26	of	of	ADP
sc-1145	488	27	voted	vote	VERB
sc-1145	488	28	neighbors	neighbor	NOUN
sc-1145	488	29	.	.	PUNCT
sc-1145	489	1	however	however	ADV
sc-1145	489	2	,	,	PUNCT
sc-1145	489	3	the	the	DET
sc-1145	489	4	problem	problem	NOUN
sc-1145	489	5	still	still	ADV
sc-1145	489	6	exists	exist	VERB
sc-1145	489	7	.	.	PUNCT
sc-1145	490	1	there	there	PRON
sc-1145	490	2	should	should	AUX
sc-1145	490	3	be	be	AUX
sc-1145	490	4	a	a	DET
sc-1145	490	5	number	number	NOUN
sc-1145	490	6	of	of	ADP
sc-1145	490	7	cases	case	NOUN
sc-1145	490	8	at	at	ADP
sc-1145	490	9	the	the	DET
sc-1145	490	10	beginning	beginning	NOUN
sc-1145	490	11	.	.	PUNCT
sc-1145	491	1	therefore	therefore	ADV
sc-1145	491	2	,	,	PUNCT
sc-1145	491	3	a	a	DET
sc-1145	491	4	considerable	considerable	ADJ
sc-1145	491	5	amount	amount	NOUN
sc-1145	491	6	of	of	ADP
sc-1145	491	7	experiences	experience	NOUN
sc-1145	491	8	should	should	AUX
sc-1145	491	9	be	be	AUX
sc-1145	491	10	gathered	gather	VERB
sc-1145	491	11	for	for	ADP
sc-1145	491	12	the	the	DET
sc-1145	491	13	same	same	ADJ
sc-1145	491	14	problem	problem	NOUN
sc-1145	491	15	.	.	PUNCT
sc-1145	492	1	otherwise	otherwise	ADV
sc-1145	492	2	,	,	PUNCT
sc-1145	492	3	k	k	X
sc-1145	492	4	-	-	PUNCT
sc-1145	492	5	means	mean	NOUN
sc-1145	492	6	and	and	CCONJ
sc-1145	492	7	k	k	PROPN
sc-1145	492	8	-	-	PUNCT
sc-1145	492	9	nn	nn	PROPN
sc-1145	492	10	will	will	AUX
sc-1145	492	11	lose	lose	VERB
sc-1145	492	12	their	their	PRON
sc-1145	492	13	performance	performance	NOUN
sc-1145	492	14	.	.	PUNCT
sc-1145	493	1	collecting	collect	VERB
sc-1145	493	2	such	such	ADJ
sc-1145	493	3	information	information	NOUN
sc-1145	493	4	is	be	AUX
sc-1145	493	5	sometimes	sometimes	ADV
sc-1145	493	6	very	very	ADV
sc-1145	493	7	hard	hard	ADJ
sc-1145	493	8	.	.	PUNCT
sc-1145	494	1	this	this	DET
sc-1145	494	2	scenario	scenario	NOUN
sc-1145	494	3	is	be	AUX
sc-1145	494	4	a	a	DET
sc-1145	494	5	limitation	limitation	NOUN
sc-1145	494	6	for	for	ADP
sc-1145	494	7	cable	cable	NOUN
sc-1145	494	8	since	since	SCONJ
sc-1145	494	9	similar	similar	ADJ
sc-1145	494	10	cases	case	NOUN
sc-1145	494	11	required	require	VERB
sc-1145	494	12	for	for	ADP
sc-1145	494	13	reuse	reuse	NOUN
sc-1145	494	14	and	and	CCONJ
sc-1145	494	15	revise	revise	NOUN
sc-1145	494	16	would	would	AUX
sc-1145	494	17	possibly	possibly	ADV
sc-1145	494	18	not	not	PART
sc-1145	494	19	exits	exit	VERB
sc-1145	494	20	due	due	ADJ
sc-1145	494	21	to	to	ADP
sc-1145	494	22	dataset	dataset	ADJ
sc-1145	494	23	size	size	NOUN
sc-1145	494	24	.	.	PUNCT
sc-1145	495	1	genericity	genericity	NOUN
sc-1145	495	2	.	.	PUNCT
sc-1145	496	1	cable	cable	NOUN
sc-1145	496	2	is	be	AUX
sc-1145	496	3	composed	compose	VERB
sc-1145	496	4	of	of	ADP
sc-1145	496	5	different	different	ADJ
sc-1145	496	6	components	component	NOUN
sc-1145	496	7	in	in	ADP
sc-1145	496	8	different	different	ADJ
sc-1145	496	9	stages	stage	NOUN
sc-1145	496	10	.	.	PUNCT
sc-1145	497	1	in	in	ADP
sc-1145	497	2	the	the	DET
sc-1145	497	3	first	first	ADJ
sc-1145	497	4	stage	stage	NOUN
sc-1145	497	5	,	,	PUNCT
sc-1145	497	6	cable	cable	NOUN
sc-1145	497	7	includes	include	VERB
sc-1145	497	8	ahp	ahp	NOUN
sc-1145	497	9	means	mean	NOUN
sc-1145	497	10	of	of	ADP
sc-1145	497	11	computing	compute	VERB
sc-1145	497	12	attribute	attribute	NOUN
sc-1145	497	13	weights	weight	NOUN
sc-1145	497	14	.	.	PUNCT
sc-1145	498	1	the	the	DET
sc-1145	498	2	latter	latter	ADJ
sc-1145	498	3	takes	take	VERB
sc-1145	498	4	as	as	ADP
sc-1145	498	5	input	input	NOUN
sc-1145	498	6	a	a	DET
sc-1145	498	7	matrix	matrix	NOUN
sc-1145	498	8	of	of	ADP
sc-1145	498	9	pair	pair	NOUN
sc-1145	498	10	comparisons	comparison	NOUN
sc-1145	498	11	between	between	ADP
sc-1145	498	12	attributes	attribute	NOUN
sc-1145	498	13	by	by	ADP
sc-1145	498	14	experts	expert	NOUN
sc-1145	498	15	.	.	PUNCT
sc-1145	499	1	therefore	therefore	ADV
sc-1145	499	2	,	,	PUNCT
sc-1145	499	3	it	it	PRON
sc-1145	499	4	is	be	AUX
sc-1145	499	5	configurable	configurable	ADJ
sc-1145	499	6	and	and	CCONJ
sc-1145	499	7	not	not	PART
sc-1145	499	8	fixed	fix	VERB
sc-1145	499	9	to	to	ADP
sc-1145	499	10	a	a	DET
sc-1145	499	11	particular	particular	ADJ
sc-1145	499	12	problem	problem	NOUN
sc-1145	499	13	.	.	PUNCT
sc-1145	500	1	the	the	DET
sc-1145	500	2	other	other	ADJ
sc-1145	500	3	functionalities	functionality	NOUN
sc-1145	500	4	such	such	ADJ
sc-1145	500	5	as	as	ADP
sc-1145	500	6	the	the	DET
sc-1145	500	7	adapted	adapted	ADJ
sc-1145	500	8	cosine	cosine	NOUN
sc-1145	500	9	,	,	PUNCT
sc-1145	500	10	k	k	NOUN
sc-1145	500	11	-	-	PUNCT
sc-1145	500	12	means	mean	NOUN
sc-1145	500	13	and	and	CCONJ
sc-1145	500	14	k	k	PROPN
sc-1145	500	15	-	-	PUNCT
sc-1145	500	16	nn	nn	PROPN
sc-1145	500	17	are	be	AUX
sc-1145	500	18	adaptable	adaptable	ADJ
sc-1145	500	19	to	to	ADP
sc-1145	500	20	the	the	DET
sc-1145	500	21	dataset	dataset	NOUN
sc-1145	500	22	taken	take	VERB
sc-1145	500	23	as	as	ADP
sc-1145	500	24	input	input	NOUN
sc-1145	500	25	.	.	PUNCT
sc-1145	501	1	in	in	ADP
sc-1145	501	2	the	the	DET
sc-1145	501	3	second	second	ADJ
sc-1145	501	4	stage	stage	NOUN
sc-1145	501	5	,	,	PUNCT
sc-1145	501	6	cable	cable	NOUN
sc-1145	501	7	uses	use	VERB
sc-1145	501	8	pso	pso	NOUN
sc-1145	501	9	,	,	PUNCT
sc-1145	501	10	which	which	PRON
sc-1145	501	11	computes	compute	VERB
sc-1145	501	12	the	the	DET
sc-1145	501	13	set	set	NOUN
sc-1145	501	14	of	of	ADP
sc-1145	501	15	weights	weight	NOUN
sc-1145	501	16	to	to	PART
sc-1145	501	17	apply	apply	VERB
sc-1145	501	18	to	to	ADP
sc-1145	501	19	each	each	DET
sc-1145	501	20	attribute	attribute	NOUN
sc-1145	501	21	in	in	ADP
sc-1145	501	22	other	other	ADJ
sc-1145	501	23	to	to	PART
sc-1145	501	24	find	find	VERB
sc-1145	501	25	the	the	DET
sc-1145	501	26	solution	solution	NOUN
sc-1145	501	27	of	of	ADP
sc-1145	501	28	the	the	DET
sc-1145	501	29	new	new	ADJ
sc-1145	501	30	case	case	NOUN
sc-1145	501	31	.	.	PUNCT
sc-1145	502	1	pso	pso	NOUN
sc-1145	502	2	depends	depend	VERB
sc-1145	502	3	on	on	ADP
sc-1145	502	4	the	the	DET
sc-1145	502	5	dataset	dataset	NOUN
sc-1145	502	6	since	since	SCONJ
sc-1145	502	7	it	it	PRON
sc-1145	502	8	takes	take	VERB
sc-1145	502	9	as	as	ADP
sc-1145	502	10	input	input	NOUN
sc-1145	502	11	the	the	DET
sc-1145	502	12	subset	subset	NOUN
sc-1145	502	13	of	of	ADP
sc-1145	502	14	known	know	VERB
sc-1145	502	15	cases	case	NOUN
sc-1145	502	16	from	from	ADP
sc-1145	502	17	the	the	DET
sc-1145	502	18	dataset	dataset	NOUN
sc-1145	502	19	.	.	PUNCT
sc-1145	503	1	in	in	ADP
sc-1145	503	2	the	the	DET
sc-1145	503	3	third	third	ADJ
sc-1145	503	4	stage	stage	NOUN
sc-1145	503	5	,	,	PUNCT
sc-1145	503	6	cable	cable	NOUN
sc-1145	503	7	includes	include	VERB
sc-1145	503	8	an	an	DET
sc-1145	503	9	algorithm	algorithm	NOUN
sc-1145	503	10	,	,	PUNCT
sc-1145	503	11	which	which	PRON
sc-1145	503	12	depends	depend	VERB
sc-1145	503	13	on	on	ADP
sc-1145	503	14	the	the	DET
sc-1145	503	15	result	result	NOUN
sc-1145	503	16	in	in	ADP
sc-1145	503	17	reuse	reuse	NOUN
sc-1145	503	18	and	and	CCONJ
sc-1145	503	19	the	the	DET
sc-1145	503	20	svm	svm	ADJ
sc-1145	503	21	regression	regression	NOUN
sc-1145	503	22	.	.	PUNCT
sc-1145	504	1	this	this	DET
sc-1145	504	2	algorithm	algorithm	NOUN
sc-1145	504	3	is	be	AUX
sc-1145	504	4	based	base	VERB
sc-1145	504	5	on	on	ADP
sc-1145	504	6	two	two	NUM
sc-1145	504	7	parameters	parameter	NOUN
sc-1145	504	8	:	:	PUNCT
sc-1145	504	9	the	the	DET
sc-1145	504	10	number	number	NOUN
sc-1145	504	11	of	of	ADP
sc-1145	504	12	training	training	NOUN
sc-1145	504	13	cases	case	NOUN
sc-1145	504	14	(	(	PUNCT
sc-1145	504	15	x	x	NOUN
sc-1145	504	16	)	)	PUNCT
sc-1145	504	17	,	,	PUNCT
sc-1145	504	18	and	and	CCONJ
sc-1145	504	19	the	the	DET
sc-1145	504	20	number	number	NOUN
sc-1145	504	21	of	of	ADP
sc-1145	504	22	testing	testing	NOUN
sc-1145	504	23	cases	case	NOUN
sc-1145	504	24	(	(	PUNCT
sc-1145	504	25	y	y	PROPN
sc-1145	504	26	)	)	PUNCT
sc-1145	504	27	.	.	PUNCT
sc-1145	505	1	the	the	DET
sc-1145	505	2	former	former	ADJ
sc-1145	505	3	is	be	AUX
sc-1145	505	4	used	use	VERB
sc-1145	505	5	to	to	PART
sc-1145	505	6	derive	derive	VERB
sc-1145	505	7	the	the	DET
sc-1145	505	8	regression	regression	NOUN
sc-1145	505	9	model	model	NOUN
sc-1145	505	10	and	and	CCONJ
sc-1145	505	11	the	the	DET
sc-1145	505	12	latter	latter	ADJ
sc-1145	505	13	is	be	AUX
sc-1145	505	14	used	use	VERB
sc-1145	505	15	to	to	PART
sc-1145	505	16	obtain	obtain	VERB
sc-1145	505	17	the	the	DET
sc-1145	505	18	threshold	threshold	NOUN
sc-1145	505	19	which	which	PRON
sc-1145	505	20	indicates	indicate	VERB
sc-1145	505	21	whether	whether	SCONJ
sc-1145	505	22	the	the	DET
sc-1145	505	23	reuse	reuse	NOUN
sc-1145	505	24	solution	solution	NOUN
sc-1145	505	25	is	be	AUX
sc-1145	505	26	applied	apply	VERB
sc-1145	505	27	or	or	CCONJ
sc-1145	505	28	the	the	DET
sc-1145	505	29	reuse	reuse	NOUN
sc-1145	505	30	solution	solution	NOUN
sc-1145	505	31	is	be	AUX
sc-1145	505	32	revised	revise	VERB
sc-1145	505	33	.	.	PUNCT
sc-1145	506	1	these	these	DET
sc-1145	506	2	overall	overall	ADJ
sc-1145	506	3	descriptions	description	NOUN
sc-1145	506	4	demonstrate	demonstrate	VERB
sc-1145	506	5	that	that	SCONJ
sc-1145	506	6	cable	cable	NOUN
sc-1145	506	7	is	be	AUX
sc-1145	506	8	configurable	configurable	ADJ
sc-1145	506	9	according	accord	VERB
sc-1145	506	10	to	to	ADP
sc-1145	506	11	the	the	DET
sc-1145	506	12	dataset	dataset	NOUN
sc-1145	506	13	provided	provide	VERB
sc-1145	506	14	as	as	ADP
sc-1145	506	15	input	input	NOUN
sc-1145	506	16	.	.	PUNCT
sc-1145	507	1	it	it	PRON
sc-1145	507	2	is	be	AUX
sc-1145	507	3	therefore	therefore	ADV
sc-1145	507	4	,	,	PUNCT
sc-1145	507	5	generic	generic	ADJ
sc-1145	507	6	-	-	PUNCT
sc-1145	507	7	dependent	dependent	ADJ
sc-1145	507	8	to	to	ADP
sc-1145	507	9	the	the	DET
sc-1145	507	10	dataset	dataset	NOUN
sc-1145	507	11	provided	provide	VERB
sc-1145	507	12	for	for	ADP
sc-1145	507	13	the	the	DET
sc-1145	507	14	forecasting	forecasting	NOUN
sc-1145	507	15	problem	problem	NOUN
sc-1145	507	16	to	to	PART
sc-1145	507	17	solve	solve	VERB
sc-1145	507	18	.	.	PUNCT
sc-1145	508	1	more	more	ADV
sc-1145	508	2	important	important	ADJ
sc-1145	508	3	it	it	PRON
sc-1145	508	4	deals	deal	VERB
sc-1145	508	5	with	with	ADP
sc-1145	508	6	continuous	continuous	ADJ
sc-1145	508	7	solutions	solution	NOUN
sc-1145	508	8	since	since	SCONJ
sc-1145	508	9	in	in	ADP
sc-1145	508	10	the	the	DET
sc-1145	508	11	retrieve	retrieve	NOUN
sc-1145	508	12	,	,	PUNCT
sc-1145	508	13	kmeans	kmeans	PROPN
sc-1145	508	14	is	be	AUX
sc-1145	508	15	used	use	VERB
sc-1145	508	16	to	to	PART
sc-1145	508	17	make	make	VERB
sc-1145	508	18	cluster	cluster	NOUN
sc-1145	508	19	of	of	ADP
sc-1145	508	20	retrieve	retrieve	NOUN
sc-1145	508	21	cases	case	NOUN
sc-1145	508	22	before	before	ADP
sc-1145	508	23	transferring	transfer	VERB
sc-1145	508	24	it	it	PRON
sc-1145	508	25	to	to	ADP
sc-1145	508	26	k	k	PROPN
sc-1145	508	27	-	-	PUNCT
sc-1145	508	28	nn	nn	PROPN
sc-1145	508	29	.	.	PROPN
sc-1145	508	30	however	however	ADV
sc-1145	508	31	,	,	PUNCT
sc-1145	508	32	it	it	PRON
sc-1145	508	33	is	be	AUX
sc-1145	508	34	limited	limit	VERB
sc-1145	508	35	when	when	SCONJ
sc-1145	508	36	one	one	PRON
sc-1145	508	37	can	can	AUX
sc-1145	508	38	not	not	PART
sc-1145	508	39	provide	provide	VERB
sc-1145	508	40	enough	enough	ADJ
sc-1145	508	41	data	datum	NOUN
sc-1145	508	42	at	at	ADP
sc-1145	508	43	start	start	NOUN
sc-1145	508	44	.	.	PUNCT
sc-1145	509	1	in	in	ADP
sc-1145	509	2	this	this	DET
sc-1145	509	3	case	case	NOUN
sc-1145	509	4	,	,	PUNCT
sc-1145	509	5	an	an	DET
sc-1145	509	6	alternate	alternate	ADJ
sc-1145	509	7	learning	learning	NOUN
sc-1145	509	8	algorithm	algorithm	NOUN
sc-1145	509	9	must	must	AUX
sc-1145	509	10	be	be	AUX
sc-1145	509	11	determined	determine	VERB
sc-1145	509	12	,	,	PUNCT
sc-1145	509	13	whose	whose	DET
sc-1145	509	14	performance	performance	NOUN
sc-1145	509	15	is	be	AUX
sc-1145	509	16	not	not	PART
sc-1145	509	17	dependent	dependent	ADJ
sc-1145	509	18	to	to	ADP
sc-1145	509	19	data	datum	NOUN
sc-1145	509	20	size	size	NOUN
sc-1145	509	21	.	.	PUNCT
sc-1145	510	1	association	association	NOUN
sc-1145	510	2	of	of	ADP
sc-1145	510	3	intelligences	intelligence	NOUN
sc-1145	510	4	.	.	PUNCT
sc-1145	511	1	this	this	DET
sc-1145	511	2	research	research	NOUN
sc-1145	511	3	contributes	contribute	VERB
sc-1145	511	4	in	in	ADP
sc-1145	511	5	the	the	DET
sc-1145	511	6	way	way	NOUN
sc-1145	511	7	that	that	PRON
sc-1145	511	8	cable	cable	NOUN
sc-1145	511	9	federates	federate	VERB
sc-1145	511	10	various	various	ADJ
sc-1145	511	11	intelligences	intelligence	NOUN
sc-1145	511	12	and	and	CCONJ
sc-1145	511	13	computational	computational	ADJ
sc-1145	511	14	approaches	approach	NOUN
sc-1145	511	15	:	:	PUNCT
sc-1145	511	16	an	an	DET
sc-1145	511	17	adapted	adapted	ADJ
sc-1145	511	18	version	version	NOUN
sc-1145	511	19	of	of	ADP
sc-1145	511	20	cosine	cosine	NOUN
sc-1145	511	21	similarity	similarity	NOUN
sc-1145	511	22	,	,	PUNCT
sc-1145	511	23	a	a	DET
sc-1145	511	24	multi	multi	ADJ
sc-1145	511	25	-	-	ADJ
sc-1145	511	26	criteria	criteria	ADJ
sc-1145	511	27	decision	decision	NOUN
sc-1145	511	28	making	making	NOUN
sc-1145	511	29	,	,	PUNCT
sc-1145	511	30	(	(	PUNCT
sc-1145	511	31	un)supervised	un)supervise	VERB
sc-1145	511	32	algorithms	algorithm	NOUN
sc-1145	511	33	such	such	ADJ
sc-1145	511	34	as	as	ADP
sc-1145	511	35	k	k	PROPN
sc-1145	511	36	-	-	PUNCT
sc-1145	511	37	nn	nn	PROPN
sc-1145	511	38	and	and	CCONJ
sc-1145	511	39	k	k	NOUN
sc-1145	511	40	-	-	PUNCT
sc-1145	511	41	means	means	PROPN
sc-1145	511	42	,	,	PUNCT
sc-1145	511	43	an	an	DET
sc-1145	511	44	optimization	optimization	NOUN
sc-1145	511	45	algorithm	algorithm	NOUN
sc-1145	511	46	and	and	CCONJ
sc-1145	511	47	the	the	DET
sc-1145	511	48	supervised	supervised	ADJ
sc-1145	511	49	svm	svm	ADJ
sc-1145	511	50	regression	regression	NOUN
sc-1145	511	51	.	.	PUNCT
sc-1145	512	1	the	the	DET
sc-1145	512	2	cbr	cbr	NOUN
sc-1145	512	3	architecture	architecture	NOUN
sc-1145	512	4	proposed	propose	VERB
sc-1145	512	5	so	so	ADV
sc-1145	512	6	far	far	ADV
sc-1145	512	7	is	be	AUX
sc-1145	512	8	able	able	ADJ
sc-1145	512	9	to	to	PART
sc-1145	512	10	accurately	accurately	ADV
sc-1145	512	11	forecast	forecast	VERB
sc-1145	512	12	the	the	DET
sc-1145	512	13	electricity	electricity	NOUN
sc-1145	512	14	energy	energy	NOUN
sc-1145	513	1	16	16	NUM
sc-1145	513	2	naomi	naomi	PROPN
sc-1145	513	3	dassi	dassi	PROPN
sc-1145	513	4	tchomté	tchomté	PROPN
sc-1145	513	5	et	et	PROPN
sc-1145	513	6	al	al	PROPN
sc-1145	513	7	.	.	PUNCT
sc-1145	514	1	eai	eai	PROPN
sc-1145	514	2	endorsed	endorse	VERB
sc-1145	514	3	transactions	transaction	NOUN
sc-1145	514	4	on	on	ADP
sc-1145	514	5	smart	smart	ADJ
sc-1145	514	6	cities	city	NOUN
sc-1145	514	7	06	06	NUM
sc-1145	514	8	2018	2018	NUM
sc-1145	514	9	02	02	NUM
sc-1145	514	10	2020	2020	NUM
sc-1145	514	11	|	|	ADV
sc-1145	514	12	volume	volume	NOUN
sc-1145	514	13	4	4	NUM
sc-1145	514	14	|	|	NOUN
sc-1145	514	15	issue	issue	VERB
sc-1145	514	16	9	9	NUM
sc-1145	514	17	|	|	CCONJ
sc-1145	514	18	e4	e4	PROPN
sc-1145	514	19	table	table	NOUN
sc-1145	514	20	13	13	NUM
sc-1145	514	21	.	.	PUNCT
sc-1145	515	1	similar	similar	ADJ
sc-1145	515	2	cases	case	NOUN
sc-1145	515	3	selected	select	VERB
sc-1145	515	4	for	for	ADP
sc-1145	515	5	case	case	NOUN
sc-1145	515	6	1	1	NUM
sc-1145	515	7	k	k	PROPN
sc-1145	515	8	index	index	NOUN
sc-1145	515	9	of	of	ADP
sc-1145	515	10	cases	case	NOUN
sc-1145	515	11	10	10	NUM
sc-1145	515	12	57	57	NUM
sc-1145	515	13	,	,	PUNCT
sc-1145	515	14	1069	1069	NUM
sc-1145	515	15	,	,	PUNCT
sc-1145	515	16	188	188	NUM
sc-1145	515	17	,	,	PUNCT
sc-1145	515	18	126	126	NUM
sc-1145	515	19	,	,	PUNCT
sc-1145	515	20	568	568	NUM
sc-1145	515	21	,	,	PUNCT
sc-1145	515	22	561	561	NUM
sc-1145	515	23	,	,	PUNCT
sc-1145	515	24	147	147	NUM
sc-1145	515	25	,	,	PUNCT
sc-1145	515	26	470	470	NUM
sc-1145	515	27	,	,	PUNCT
sc-1145	515	28	1019	1019	NUM
sc-1145	515	29	5	5	NUM
sc-1145	515	30	57	57	NUM
sc-1145	515	31	,	,	PUNCT
sc-1145	515	32	1069	1069	NUM
sc-1145	515	33	,	,	PUNCT
sc-1145	515	34	188	188	NUM
sc-1145	515	35	,	,	PUNCT
sc-1145	515	36	126	126	NUM
sc-1145	515	37	3	3	NUM
sc-1145	515	38	1	1	NUM
sc-1145	515	39	,	,	PUNCT
sc-1145	515	40	57	57	NUM
sc-1145	515	41	,	,	PUNCT
sc-1145	515	42	1069	1069	NUM
sc-1145	515	43	1	1	NUM
sc-1145	515	44	57	57	NUM
sc-1145	515	45	table	table	NOUN
sc-1145	515	46	14	14	NUM
sc-1145	515	47	.	.	PUNCT
sc-1145	516	1	pso	pso	NOUN
sc-1145	516	2	executions	execution	NOUN
sc-1145	516	3	for	for	ADP
sc-1145	516	4	case	case	NOUN
sc-1145	516	5	5	5	NUM
sc-1145	516	6	pso	pso	NOUN
sc-1145	516	7	executions	execution	NOUN
sc-1145	516	8	measures	measure	NOUN
sc-1145	516	9	k=1	k=1	X
sc-1145	516	10	k=3	k=3	X
sc-1145	516	11	k=5	k=5	PROPN
sc-1145	516	12	k=10	k=10	PROPN
sc-1145	516	13	100	100	NUM
sc-1145	516	14	minimum	minimum	NOUN
sc-1145	516	15	18867	18867	NUM
sc-1145	516	16	18758	18758	NUM
sc-1145	516	17	18758	18758	NUM
sc-1145	516	18	18624	18624	NUM
sc-1145	516	19	mean	mean	VERB
sc-1145	516	20	18867	18867	NUM
sc-1145	516	21	18823.66	18823.66	NUM
sc-1145	516	22	18813.6	18813.6	NUM
sc-1145	516	23	18735	18735	NUM
sc-1145	516	24	std	std	NOUN
sc-1145	516	25	0	0	NUM
sc-1145	517	1	57.83	57.83	NUM
sc-1145	517	2	44.89	44.89	NUM
sc-1145	517	3	89.70	89.70	NUM
sc-1145	517	4	10	10	NUM
sc-1145	517	5	minimum	minimum	ADJ
sc-1145	517	6	18867	18867	NUM
sc-1145	517	7	18758	18758	NUM
sc-1145	517	8	18758	18758	NUM
sc-1145	517	9	18624	18624	NUM
sc-1145	517	10	mean	mean	VERB
sc-1145	517	11	18867	18867	NUM
sc-1145	517	12	18823.66	18823.66	NUM
sc-1145	517	13	18813.6	18813.6	NUM
sc-1145	517	14	18735	18735	NUM
sc-1145	517	15	std	std	NOUN
sc-1145	517	16	0	0	NUM
sc-1145	518	1	57.83	57.83	NUM
sc-1145	518	2	44.89	44.89	NUM
sc-1145	518	3	89.70	89.70	NUM
sc-1145	518	4	consumption	consumption	NOUN
sc-1145	518	5	in	in	ADP
sc-1145	518	6	home	home	NOUN
sc-1145	518	7	buildings	building	NOUN
sc-1145	518	8	and	and	CCONJ
sc-1145	518	9	can	can	AUX
sc-1145	518	10	be	be	AUX
sc-1145	518	11	generic	generic	ADJ
sc-1145	518	12	to	to	ADP
sc-1145	518	13	other	other	ADJ
sc-1145	518	14	type	type	NOUN
sc-1145	518	15	of	of	ADP
sc-1145	518	16	dataset	dataset	NOUN
sc-1145	518	17	with	with	ADP
sc-1145	518	18	non	non	ADJ
sc-1145	518	19	-	-	ADJ
sc-1145	518	20	discrete	discrete	ADJ
sc-1145	518	21	class	class	NOUN
sc-1145	518	22	.	.	PUNCT
sc-1145	519	1	the	the	DET
sc-1145	519	2	efficiency	efficiency	NOUN
sc-1145	519	3	of	of	ADP
sc-1145	519	4	forecasting	forecasting	NOUN
sc-1145	519	5	after	after	ADP
sc-1145	519	6	the	the	DET
sc-1145	519	7	reuse	reuse	NOUN
sc-1145	519	8	and	and	CCONJ
sc-1145	519	9	revision	revision	NOUN
sc-1145	519	10	stages	stage	NOUN
sc-1145	519	11	is	be	AUX
sc-1145	519	12	due	due	ADJ
sc-1145	519	13	to	to	ADP
sc-1145	519	14	the	the	DET
sc-1145	519	15	good	good	ADJ
sc-1145	519	16	measure	measure	NOUN
sc-1145	519	17	of	of	ADP
sc-1145	519	18	approach	approach	NOUN
sc-1145	519	19	of	of	ADP
sc-1145	519	20	similarity	similarity	NOUN
sc-1145	519	21	implemented	implement	VERB
sc-1145	519	22	in	in	ADP
sc-1145	519	23	the	the	DET
sc-1145	519	24	retrieve	retrieve	NOUN
sc-1145	519	25	stage	stage	NOUN
sc-1145	519	26	and	and	CCONJ
sc-1145	519	27	the	the	DET
sc-1145	519	28	optimization	optimization	NOUN
sc-1145	519	29	in	in	ADP
sc-1145	519	30	the	the	DET
sc-1145	519	31	determination	determination	NOUN
sc-1145	519	32	of	of	ADP
sc-1145	519	33	solutions	solution	NOUN
sc-1145	519	34	.	.	PUNCT
sc-1145	520	1	nonetheless	nonetheless	ADV
sc-1145	520	2	,	,	PUNCT
sc-1145	520	3	this	this	DET
sc-1145	520	4	process	process	NOUN
sc-1145	520	5	of	of	ADP
sc-1145	520	6	association	association	NOUN
sc-1145	520	7	induces	induce	VERB
sc-1145	520	8	a	a	DET
sc-1145	520	9	complexity	complexity	NOUN
sc-1145	520	10	to	to	PART
sc-1145	520	11	deal	deal	VERB
sc-1145	520	12	with	with	ADP
sc-1145	520	13	in	in	ADP
sc-1145	520	14	case	case	NOUN
sc-1145	520	15	one	one	PRON
sc-1145	520	16	does	do	AUX
sc-1145	520	17	not	not	PART
sc-1145	520	18	have	have	VERB
sc-1145	520	19	enough	enough	ADJ
sc-1145	520	20	resources	resource	NOUN
sc-1145	520	21	for	for	ADP
sc-1145	520	22	computing	compute	VERB
sc-1145	520	23	.	.	PUNCT
sc-1145	521	1	since	since	SCONJ
sc-1145	521	2	input	input	NOUN
sc-1145	521	3	data	datum	NOUN
sc-1145	521	4	can	can	AUX
sc-1145	521	5	be	be	AUX
sc-1145	521	6	huge	huge	ADJ
sc-1145	521	7	,	,	PUNCT
sc-1145	521	8	approaches	approach	NOUN
sc-1145	521	9	should	should	AUX
sc-1145	521	10	be	be	AUX
sc-1145	521	11	designed	design	VERB
sc-1145	521	12	to	to	PART
sc-1145	521	13	avoid	avoid	VERB
sc-1145	521	14	unuseful	unuseful	ADJ
sc-1145	521	15	and	and	CCONJ
sc-1145	521	16	repeated	repeat	VERB
sc-1145	521	17	operations	operation	NOUN
sc-1145	521	18	.	.	PUNCT
sc-1145	522	1	performance	performance	NOUN
sc-1145	522	2	.	.	PUNCT
sc-1145	523	1	the	the	DET
sc-1145	523	2	cable	cable	NOUN
sc-1145	523	3	’s	’s	PART
sc-1145	523	4	revise	revise	NOUN
sc-1145	523	5	varies	vary	VERB
sc-1145	523	6	sizes	size	NOUN
sc-1145	523	7	of	of	ADP
sc-1145	523	8	training	training	NOUN
sc-1145	523	9	and	and	CCONJ
sc-1145	523	10	testing	testing	NOUN
sc-1145	523	11	sets	set	NOUN
sc-1145	523	12	.	.	PUNCT
sc-1145	524	1	the	the	DET
sc-1145	524	2	splitting	splitting	NOUN
sc-1145	524	3	(	(	PUNCT
sc-1145	524	4	75	75	NUM
sc-1145	524	5	%	%	NOUN
sc-1145	524	6	,	,	PUNCT
sc-1145	524	7	25	25	NUM
sc-1145	524	8	%	%	NOUN
sc-1145	524	9	)	)	PUNCT
sc-1145	524	10	has	have	AUX
sc-1145	524	11	been	be	AUX
sc-1145	524	12	found	find	VERB
sc-1145	524	13	accurate	accurate	ADJ
sc-1145	524	14	in	in	ADP
sc-1145	524	15	improving	improve	VERB
sc-1145	524	16	the	the	DET
sc-1145	524	17	determination	determination	NOUN
sc-1145	524	18	of	of	ADP
sc-1145	524	19	solutions	solution	NOUN
sc-1145	524	20	since	since	SCONJ
sc-1145	524	21	accuracy	accuracy	NOUN
sc-1145	524	22	has	have	AUX
sc-1145	524	23	improved	improve	VERB
sc-1145	524	24	by	by	ADP
sc-1145	524	25	11	11	NUM
sc-1145	524	26	%	%	NOUN
sc-1145	524	27	from	from	ADP
sc-1145	524	28	reuse	reuse	NOUN
sc-1145	524	29	to	to	AUX
sc-1145	524	30	revise	revise	VERB
sc-1145	524	31	.	.	PUNCT
sc-1145	525	1	although	although	SCONJ
sc-1145	525	2	,	,	PUNCT
sc-1145	525	3	this	this	DET
sc-1145	525	4	process	process	NOUN
sc-1145	525	5	provides	provide	VERB
sc-1145	525	6	interesting	interesting	ADJ
sc-1145	525	7	results	result	NOUN
sc-1145	525	8	,	,	PUNCT
sc-1145	525	9	it	it	PRON
sc-1145	525	10	lacks	lack	VERB
sc-1145	525	11	to	to	PART
sc-1145	525	12	generalize	generalize	VERB
sc-1145	525	13	results	result	NOUN
sc-1145	525	14	to	to	ADP
sc-1145	525	15	the	the	DET
sc-1145	525	16	data	data	NOUN
sc-1145	525	17	structure	structure	NOUN
sc-1145	525	18	.	.	PUNCT
sc-1145	526	1	it	it	PRON
sc-1145	526	2	is	be	AUX
sc-1145	526	3	unsure	unsure	ADJ
sc-1145	526	4	that	that	SCONJ
sc-1145	526	5	the	the	DET
sc-1145	526	6	performance	performance	NOUN
sc-1145	526	7	remains	remain	VERB
sc-1145	526	8	acceptable	acceptable	ADJ
sc-1145	526	9	if	if	SCONJ
sc-1145	526	10	one	one	NUM
sc-1145	526	11	changes	change	VERB
sc-1145	526	12	the	the	DET
sc-1145	526	13	structure	structure	NOUN
sc-1145	526	14	of	of	ADP
sc-1145	526	15	the	the	DET
sc-1145	526	16	dataset	dataset	NOUN
sc-1145	526	17	:	:	PUNCT
sc-1145	526	18	for	for	ADP
sc-1145	526	19	instance	instance	NOUN
sc-1145	526	20	,	,	PUNCT
sc-1145	526	21	does	do	AUX
sc-1145	526	22	the	the	DET
sc-1145	526	23	performance	performance	NOUN
sc-1145	526	24	remain	remain	VERB
sc-1145	526	25	when	when	SCONJ
sc-1145	526	26	the	the	DET
sc-1145	526	27	first	first	ADJ
sc-1145	526	28	20	20	NUM
sc-1145	526	29	%	%	NOUN
sc-1145	526	30	samples	sample	NOUN
sc-1145	526	31	are	be	AUX
sc-1145	526	32	used	use	VERB
sc-1145	526	33	for	for	ADP
sc-1145	526	34	training	training	NOUN
sc-1145	526	35	and	and	CCONJ
sc-1145	526	36	the	the	DET
sc-1145	526	37	80	80	NUM
sc-1145	526	38	%	%	NOUN
sc-1145	526	39	remaining	remain	VERB
sc-1145	526	40	samples	sample	NOUN
sc-1145	526	41	are	be	AUX
sc-1145	526	42	used	use	VERB
sc-1145	526	43	for	for	ADP
sc-1145	526	44	testing	testing	NOUN
sc-1145	526	45	–	–	PUNCT
sc-1145	526	46	or	or	CCONJ
sc-1145	526	47	when	when	SCONJ
sc-1145	526	48	the	the	DET
sc-1145	526	49	first	first	ADJ
sc-1145	526	50	20	20	NUM
sc-1145	526	51	%	%	NOUN
sc-1145	526	52	samples	sample	NOUN
sc-1145	526	53	are	be	AUX
sc-1145	526	54	used	use	VERB
sc-1145	526	55	for	for	ADP
sc-1145	526	56	testing	testing	NOUN
sc-1145	526	57	and	and	CCONJ
sc-1145	526	58	80	80	NUM
sc-1145	526	59	%	%	NOUN
sc-1145	526	60	remaining	remain	VERB
sc-1145	526	61	for	for	ADP
sc-1145	526	62	training	training	NOUN
sc-1145	526	63	.	.	PUNCT
sc-1145	527	1	6	6	X
sc-1145	527	2	.	.	X
sc-1145	527	3	conclusion	conclusion	NOUN
sc-1145	527	4	and	and	CCONJ
sc-1145	527	5	perspectives	perspective	NOUN
sc-1145	527	6	iot	iot	NOUN
sc-1145	527	7	supports	support	VERB
sc-1145	527	8	the	the	DET
sc-1145	527	9	smart	smart	ADJ
sc-1145	527	10	city	city	NOUN
sc-1145	527	11	paradigm	paradigm	NOUN
sc-1145	527	12	in	in	ADP
sc-1145	527	13	collecting	collect	VERB
sc-1145	527	14	information	information	NOUN
sc-1145	527	15	for	for	ADP
sc-1145	527	16	making	make	VERB
sc-1145	527	17	decisions	decision	NOUN
sc-1145	527	18	.	.	PUNCT
sc-1145	528	1	smart	smart	ADJ
sc-1145	528	2	city	city	NOUN
sc-1145	528	3	requires	require	VERB
sc-1145	528	4	to	to	PART
sc-1145	528	5	connect	connect	VERB
sc-1145	528	6	appliances	appliance	NOUN
sc-1145	528	7	and	and	CCONJ
sc-1145	528	8	equipments	equipment	NOUN
sc-1145	528	9	that	that	PRON
sc-1145	528	10	consume	consume	VERB
sc-1145	528	11	energy	energy	NOUN
sc-1145	528	12	.	.	PUNCT
sc-1145	529	1	optimization	optimization	NOUN
sc-1145	529	2	of	of	ADP
sc-1145	529	3	energy	energy	NOUN
sc-1145	529	4	consumption	consumption	NOUN
sc-1145	529	5	is	be	AUX
sc-1145	529	6	therefore	therefore	ADV
sc-1145	529	7	a	a	DET
sc-1145	529	8	concern	concern	NOUN
sc-1145	529	9	for	for	ADP
sc-1145	529	10	reduce	reduce	VERB
sc-1145	529	11	monthly	monthly	ADJ
sc-1145	529	12	expenses	expense	NOUN
sc-1145	529	13	.	.	PUNCT
sc-1145	530	1	to	to	PART
sc-1145	530	2	address	address	VERB
sc-1145	530	3	this	this	DET
sc-1145	530	4	problem	problem	NOUN
sc-1145	530	5	,	,	PUNCT
sc-1145	530	6	this	this	DET
sc-1145	530	7	paper	paper	NOUN
sc-1145	530	8	proposed	propose	VERB
sc-1145	530	9	cable	cable	NOUN
sc-1145	530	10	,	,	PUNCT
sc-1145	530	11	a	a	DET
sc-1145	530	12	threelayer	threelayer	NOUN
sc-1145	530	13	novel	novel	ADJ
sc-1145	530	14	architecture	architecture	NOUN
sc-1145	530	15	of	of	ADP
sc-1145	530	16	cbr	cbr	NOUN
sc-1145	530	17	with	with	ADP
sc-1145	530	18	more	more	ADJ
sc-1145	530	19	generic	generic	ADJ
sc-1145	530	20	functionalities	functionality	NOUN
sc-1145	530	21	.	.	PUNCT
sc-1145	531	1	cable	cable	NOUN
sc-1145	531	2	combines	combine	VERB
sc-1145	531	3	optimization	optimization	NOUN
sc-1145	531	4	and	and	CCONJ
sc-1145	531	5	machine	machine	NOUN
sc-1145	531	6	learning	learn	VERB
sc-1145	531	7	algorithms	algorithm	NOUN
sc-1145	531	8	to	to	PART
sc-1145	531	9	forecast	forecast	VERB
sc-1145	531	10	energy	energy	NOUN
sc-1145	531	11	consumption	consumption	NOUN
sc-1145	531	12	in	in	ADP
sc-1145	531	13	buildings	building	NOUN
sc-1145	531	14	.	.	PUNCT
sc-1145	532	1	the	the	DET
sc-1145	532	2	first	first	ADJ
sc-1145	532	3	layer	layer	NOUN
sc-1145	532	4	is	be	AUX
sc-1145	532	5	made	make	VERB
sc-1145	532	6	of	of	ADP
sc-1145	532	7	two	two	NUM
sc-1145	532	8	ways	way	NOUN
sc-1145	532	9	.	.	PUNCT
sc-1145	533	1	the	the	DET
sc-1145	533	2	first	first	ADJ
sc-1145	533	3	extends	extend	VERB
sc-1145	533	4	the	the	DET
sc-1145	533	5	cosine	cosine	NOUN
sc-1145	533	6	model	model	NOUN
sc-1145	533	7	to	to	PART
sc-1145	533	8	consider	consider	VERB
sc-1145	533	9	attribute	attribute	NOUN
sc-1145	533	10	weighting	weighting	NOUN
sc-1145	533	11	while	while	SCONJ
sc-1145	533	12	evaluating	evaluate	VERB
sc-1145	533	13	similarity	similarity	NOUN
sc-1145	533	14	between	between	ADP
sc-1145	533	15	cases	case	NOUN
sc-1145	533	16	.	.	PUNCT
sc-1145	534	1	the	the	DET
sc-1145	534	2	second	second	ADJ
sc-1145	534	3	applies	apply	VERB
sc-1145	534	4	k	k	NOUN
sc-1145	534	5	-	-	PUNCT
sc-1145	534	6	means	means	NOUN
sc-1145	534	7	then	then	ADV
sc-1145	534	8	k	k	PROPN
sc-1145	534	9	-	-	PUNCT
sc-1145	534	10	nn	nn	PROPN
sc-1145	534	11	to	to	PART
sc-1145	534	12	find	find	VERB
sc-1145	534	13	the	the	DET
sc-1145	534	14	most	most	ADV
sc-1145	534	15	similar	similar	ADJ
sc-1145	534	16	cases	case	NOUN
sc-1145	534	17	to	to	ADP
sc-1145	534	18	the	the	DET
sc-1145	534	19	new	new	ADJ
sc-1145	534	20	case	case	NOUN
sc-1145	534	21	.	.	PUNCT
sc-1145	535	1	the	the	DET
sc-1145	535	2	second	second	ADJ
sc-1145	535	3	layer	layer	NOUN
sc-1145	535	4	designs	design	VERB
sc-1145	535	5	the	the	DET
sc-1145	535	6	determination	determination	NOUN
sc-1145	535	7	of	of	ADP
sc-1145	535	8	the	the	DET
sc-1145	535	9	solution	solution	NOUN
sc-1145	535	10	as	as	ADP
sc-1145	535	11	a	a	DET
sc-1145	535	12	linear	linear	ADJ
sc-1145	535	13	programming	programming	NOUN
sc-1145	535	14	problem	problem	NOUN
sc-1145	535	15	solved	solve	VERB
sc-1145	535	16	with	with	ADP
sc-1145	535	17	pso	pso	NOUN
sc-1145	535	18	on	on	ADP
sc-1145	535	19	the	the	DET
sc-1145	535	20	retrieved	retrieve	VERB
sc-1145	535	21	cases	case	NOUN
sc-1145	535	22	.	.	PUNCT
sc-1145	536	1	the	the	DET
sc-1145	536	2	third	third	ADJ
sc-1145	536	3	layer	layer	NOUN
sc-1145	536	4	improves	improve	VERB
sc-1145	536	5	the	the	DET
sc-1145	536	6	solution	solution	NOUN
sc-1145	536	7	with	with	ADP
sc-1145	536	8	the	the	DET
sc-1145	536	9	svm	svm	PROPN
sc-1145	536	10	regression	regression	NOUN
sc-1145	536	11	model	model	NOUN
sc-1145	536	12	.	.	PUNCT
sc-1145	537	1	experiments	experiment	NOUN
sc-1145	537	2	realized	realize	VERB
sc-1145	537	3	with	with	ADP
sc-1145	537	4	1096	1096	NUM
sc-1145	537	5	samples	sample	NOUN
sc-1145	537	6	about	about	ADP
sc-1145	537	7	electricity	electricity	NOUN
sc-1145	537	8	energy	energy	NOUN
sc-1145	537	9	consumption	consumption	NOUN
sc-1145	537	10	revealed	reveal	VERB
sc-1145	537	11	that	that	SCONJ
sc-1145	537	12	the	the	DET
sc-1145	537	13	proposed	propose	VERB
sc-1145	537	14	scheme	scheme	NOUN
sc-1145	537	15	is	be	AUX
sc-1145	537	16	accurate	accurate	ADJ
sc-1145	537	17	using	use	VERB
sc-1145	537	18	the	the	DET
sc-1145	537	19	adaptation	adaptation	NOUN
sc-1145	537	20	manner	manner	NOUN
sc-1145	537	21	with	with	ADP
sc-1145	537	22	pso	pso	NOUN
sc-1145	537	23	in	in	ADP
sc-1145	537	24	the	the	DET
sc-1145	537	25	reuse	reuse	NOUN
sc-1145	537	26	.	.	PUNCT
sc-1145	538	1	in	in	ADP
sc-1145	538	2	fact	fact	NOUN
sc-1145	538	3	,	,	PUNCT
sc-1145	538	4	the	the	DET
sc-1145	538	5	revise	revise	NOUN
sc-1145	538	6	approach	approach	NOUN
sc-1145	538	7	is	be	AUX
sc-1145	538	8	able	able	ADJ
sc-1145	538	9	to	to	PART
sc-1145	538	10	improve	improve	VERB
sc-1145	538	11	accuracy	accuracy	NOUN
sc-1145	538	12	by	by	ADP
sc-1145	538	13	11	11	NUM
sc-1145	538	14	%	%	NOUN
sc-1145	538	15	while	while	SCONJ
sc-1145	538	16	reaching	reach	VERB
sc-1145	538	17	around	around	ADP
sc-1145	538	18	99	99	NUM
sc-1145	538	19	%	%	NOUN
sc-1145	538	20	of	of	ADP
sc-1145	538	21	prediction	prediction	NOUN
sc-1145	538	22	of	of	ADP
sc-1145	538	23	expected	expect	VERB
sc-1145	538	24	solutions	solution	NOUN
sc-1145	538	25	.	.	PUNCT
sc-1145	539	1	the	the	DET
sc-1145	539	2	proposed	propose	VERB
sc-1145	539	3	architecture	architecture	NOUN
sc-1145	539	4	is	be	AUX
sc-1145	539	5	a	a	DET
sc-1145	539	6	big	big	ADJ
sc-1145	539	7	potential	potential	NOUN
sc-1145	539	8	to	to	PART
sc-1145	539	9	predict	predict	VERB
sc-1145	539	10	continuous	continuous	ADJ
sc-1145	539	11	solutions	solution	NOUN
sc-1145	539	12	for	for	ADP
sc-1145	539	13	the	the	DET
sc-1145	539	14	energy	energy	NOUN
sc-1145	539	15	problems	problem	NOUN
sc-1145	539	16	.	.	PUNCT
sc-1145	540	1	the	the	DET
sc-1145	540	2	proposed	propose	VERB
sc-1145	540	3	architecture	architecture	NOUN
sc-1145	540	4	has	have	VERB
sc-1145	540	5	two	two	NUM
sc-1145	540	6	advantages	advantage	NOUN
sc-1145	540	7	.	.	PUNCT
sc-1145	541	1	the	the	DET
sc-1145	541	2	first	first	ADJ
sc-1145	541	3	is	be	AUX
sc-1145	541	4	that	that	SCONJ
sc-1145	541	5	it	it	PRON
sc-1145	541	6	optimizes	optimize	VERB
sc-1145	541	7	the	the	DET
sc-1145	541	8	prediction	prediction	NOUN
sc-1145	541	9	of	of	ADP
sc-1145	541	10	solution	solution	NOUN
sc-1145	541	11	based	base	VERB
sc-1145	541	12	on	on	ADP
sc-1145	541	13	the	the	DET
sc-1145	541	14	association	association	NOUN
sc-1145	541	15	of	of	ADP
sc-1145	541	16	machine	machine	NOUN
sc-1145	541	17	learning	learning	NOUN
sc-1145	541	18	and	and	CCONJ
sc-1145	541	19	optimization	optimization	NOUN
sc-1145	541	20	processes	process	NOUN
sc-1145	541	21	.	.	PUNCT
sc-1145	542	1	the	the	DET
sc-1145	542	2	second	second	ADJ
sc-1145	542	3	is	be	AUX
sc-1145	542	4	its	its	PRON
sc-1145	542	5	capacity	capacity	NOUN
sc-1145	542	6	to	to	PART
sc-1145	542	7	adapt	adapt	VERB
sc-1145	542	8	to	to	ADP
sc-1145	542	9	energy	energy	NOUN
sc-1145	542	10	problems	problem	NOUN
sc-1145	542	11	.	.	PUNCT
sc-1145	543	1	as	as	ADP
sc-1145	543	2	future	future	ADJ
sc-1145	543	3	work	work	NOUN
sc-1145	543	4	,	,	PUNCT
sc-1145	543	5	we	we	PRON
sc-1145	543	6	aim	aim	VERB
sc-1145	543	7	to	to	PART
sc-1145	543	8	design	design	VERB
sc-1145	543	9	efficient	efficient	ADJ
sc-1145	543	10	retain	retain	NOUN
sc-1145	543	11	process	process	NOUN
sc-1145	543	12	concerning	concern	VERB
sc-1145	543	13	integration	integration	NOUN
sc-1145	543	14	and	and	CCONJ
sc-1145	543	15	indexing	indexing	NOUN
sc-1145	543	16	of	of	ADP
sc-1145	543	17	solved	solve	VERB
sc-1145	543	18	cases	case	NOUN
sc-1145	543	19	.	.	PUNCT
sc-1145	544	1	references	reference	NOUN
sc-1145	544	2	[	[	X
sc-1145	544	3	1	1	X
sc-1145	544	4	]	]	PUNCT
sc-1145	544	5	d.	d.	PROPN
sc-1145	544	6	b.	b.	PROPN
sc-1145	544	7	leake	leake	PROPN
sc-1145	544	8	and	and	CCONJ
sc-1145	544	9	d.	d.	PROPN
sc-1145	544	10	b.	b.	PROPN
sc-1145	544	11	,	,	PUNCT
sc-1145	544	12	case	case	NOUN
sc-1145	544	13	-	-	PUNCT
sc-1145	544	14	based	base	VERB
sc-1145	544	15	reasoning	reasoning	NOUN
sc-1145	544	16	:	:	PUNCT
sc-1145	544	17	experiences	experience	NOUN
sc-1145	544	18	,	,	PUNCT
sc-1145	544	19	lessons	lesson	NOUN
sc-1145	544	20	&	&	CCONJ
sc-1145	544	21	future	future	ADJ
sc-1145	544	22	directions	direction	NOUN
sc-1145	544	23	.	.	PUNCT
sc-1145	545	1	aaai	aaai	PROPN
sc-1145	545	2	press	press	PROPN
sc-1145	545	3	,	,	PUNCT
sc-1145	545	4	1996	1996	NUM
sc-1145	545	5	.	.	PUNCT
sc-1145	546	1	[	[	X
sc-1145	546	2	2	2	NUM
sc-1145	546	3	]	]	PUNCT
sc-1145	546	4	a.	a.	NOUN
sc-1145	546	5	aamodt	aamodt	PROPN
sc-1145	546	6	and	and	CCONJ
sc-1145	546	7	e.	e.	PROPN
sc-1145	546	8	plaza	plaza	PROPN
sc-1145	546	9	,	,	PUNCT
sc-1145	546	10	“	"	PUNCT
sc-1145	546	11	case	case	NOUN
sc-1145	546	12	-	-	PUNCT
sc-1145	546	13	based	base	VERB
sc-1145	546	14	reasoning	reasoning	NOUN
sc-1145	546	15	:	:	PUNCT
sc-1145	546	16	foundational	foundational	ADJ
sc-1145	546	17	issues	issue	NOUN
sc-1145	546	18	,	,	PUNCT
sc-1145	546	19	methodological	methodological	ADJ
sc-1145	546	20	variations	variation	NOUN
sc-1145	546	21	,	,	PUNCT
sc-1145	546	22	and	and	CCONJ
sc-1145	546	23	system	system	NOUN
sc-1145	546	24	approaches	approach	NOUN
sc-1145	546	25	,	,	PUNCT
sc-1145	546	26	”	"	PUNCT
sc-1145	546	27	ai	ai	VERB
sc-1145	546	28	communications	communication	NOUN
sc-1145	546	29	,	,	PUNCT
sc-1145	546	30	vol	vol	NOUN
sc-1145	546	31	.	.	PROPN
sc-1145	547	1	7	7	NUM
sc-1145	547	2	,	,	PUNCT
sc-1145	547	3	no	no	INTJ
sc-1145	547	4	.	.	NOUN
sc-1145	547	5	1	1	NUM
sc-1145	547	6	,	,	PUNCT
sc-1145	547	7	pp	pp	ADJ
sc-1145	547	8	.	.	PUNCT
sc-1145	548	1	39–59	39–59	NUM
sc-1145	548	2	,	,	PUNCT
sc-1145	548	3	1994	1994	NUM
sc-1145	548	4	.	.	PUNCT
sc-1145	549	1	[	[	X
sc-1145	549	2	3	3	NUM
sc-1145	549	3	]	]	X
sc-1145	549	4	i.	i.	PROPN
sc-1145	549	5	watson	watson	PROPN
sc-1145	549	6	,	,	PUNCT
sc-1145	549	7	“	"	PUNCT
sc-1145	549	8	an	an	DET
sc-1145	549	9	introduction	introduction	NOUN
sc-1145	549	10	to	to	ADP
sc-1145	549	11	case	case	NOUN
sc-1145	549	12	-	-	PUNCT
sc-1145	549	13	based	base	VERB
sc-1145	549	14	reasoning	reasoning	NOUN
sc-1145	549	15	,	,	PUNCT
sc-1145	549	16	”	"	PUNCT
sc-1145	549	17	in	in	ADP
sc-1145	549	18	uk	uk	PROPN
sc-1145	549	19	workshop	workshop	NOUN
sc-1145	549	20	on	on	ADP
sc-1145	549	21	case	case	NOUN
sc-1145	549	22	-	-	PUNCT
sc-1145	549	23	based	base	VERB
sc-1145	549	24	reasoning	reasoning	NOUN
sc-1145	549	25	,	,	PUNCT
sc-1145	549	26	pp	pp	ADP
sc-1145	549	27	.	.	PUNCT
sc-1145	550	1	1–16	1–16	NOUN
sc-1145	550	2	,	,	PUNCT
sc-1145	550	3	1995	1995	NUM
sc-1145	550	4	.	.	PUNCT
sc-1145	551	1	[	[	X
sc-1145	551	2	4	4	NUM
sc-1145	551	3	]	]	PUNCT
sc-1145	551	4	a.	a.	NOUN
sc-1145	551	5	j.	j.	PROPN
sc-1145	551	6	c.	c.	PROPN
sc-1145	551	7	b.	b.	PROPN
sc-1145	551	8	de	de	PROPN
sc-1145	551	9	sousa	sousa	PROPN
sc-1145	551	10	,	,	PUNCT
sc-1145	551	11	“	"	PUNCT
sc-1145	551	12	application	application	NOUN
sc-1145	551	13	of	of	ADP
sc-1145	551	14	knowledge	knowledge	NOUN
sc-1145	551	15	acquisition	acquisition	NOUN
sc-1145	551	16	methods	method	NOUN
sc-1145	551	17	in	in	ADP
sc-1145	551	18	a	a	DET
sc-1145	551	19	case	case	NOUN
sc-1145	551	20	-	-	PUNCT
sc-1145	551	21	based	base	VERB
sc-1145	551	22	reasoning	reasoning	NOUN
sc-1145	551	23	tool	tool	NOUN
sc-1145	551	24	,	,	PUNCT
sc-1145	551	25	”	"	PUNCT
sc-1145	551	26	2018	2018	NUM
sc-1145	551	27	.	.	PUNCT
sc-1145	552	1	[	[	X
sc-1145	552	2	5	5	NUM
sc-1145	552	3	]	]	X
sc-1145	552	4	r.	r.	PROPN
sc-1145	552	5	faia	faia	PROPN
sc-1145	552	6	,	,	PUNCT
sc-1145	552	7	t.	t.	NOUN
sc-1145	552	8	pinto	pinto	NOUN
sc-1145	552	9	,	,	PUNCT
sc-1145	552	10	o.	o.	PROPN
sc-1145	552	11	abrishambaf	abrishambaf	PROPN
sc-1145	552	12	,	,	PUNCT
sc-1145	552	13	f.	f.	PROPN
sc-1145	552	14	fernandes	fernandes	PROPN
sc-1145	552	15	,	,	PUNCT
sc-1145	552	16	z.	z.	PROPN
sc-1145	552	17	vale	vale	NOUN
sc-1145	552	18	,	,	PUNCT
sc-1145	552	19	and	and	CCONJ
sc-1145	552	20	j.	j.	PROPN
sc-1145	552	21	m.	m.	PROPN
sc-1145	552	22	corchado	corchado	PROPN
sc-1145	552	23	,	,	PUNCT
sc-1145	552	24	“	"	PUNCT
sc-1145	552	25	case	case	NOUN
sc-1145	552	26	based	base	VERB
sc-1145	552	27	reasoning	reasoning	NOUN
sc-1145	552	28	with	with	ADP
sc-1145	552	29	expert	expert	NOUN
sc-1145	552	30	system	system	NOUN
sc-1145	552	31	and	and	CCONJ
sc-1145	552	32	swarm	swarm	NOUN
sc-1145	552	33	intelligence	intelligence	NOUN
sc-1145	552	34	to	to	PART
sc-1145	552	35	determine	determine	VERB
sc-1145	552	36	energy	energy	NOUN
sc-1145	552	37	17	17	NUM
sc-1145	552	38	a	a	DET
sc-1145	552	39	case	case	NOUN
sc-1145	552	40	based	base	VERB
sc-1145	552	41	reasoning	reasoning	NOUN
sc-1145	552	42	coupling	couple	VERB
sc-1145	552	43	multi	multi	ADJ
sc-1145	552	44	-	-	ADJ
sc-1145	552	45	criteria	criterion	NOUN
sc-1145	552	46	decision	decision	NOUN
sc-1145	552	47	making	make	VERB
sc-1145	552	48	with	with	ADP
sc-1145	552	49	learning	learning	NOUN
sc-1145	552	50	and	and	CCONJ
sc-1145	552	51	optimization	optimization	NOUN
sc-1145	552	52	intelligences	intelligence	NOUN
sc-1145	552	53	:	:	PUNCT
sc-1145	552	54	application	application	NOUN
sc-1145	552	55	to	to	ADP
sc-1145	552	56	energy	energy	NOUN
sc-1145	552	57	consumption	consumption	NOUN
sc-1145	552	58	eai	eai	NOUN
sc-1145	552	59	endorsed	endorse	VERB
sc-1145	552	60	transactions	transaction	NOUN
sc-1145	552	61	on	on	ADP
sc-1145	552	62	smart	smart	ADJ
sc-1145	552	63	cities	city	NOUN
sc-1145	552	64	06	06	NUM
sc-1145	552	65	2018	2018	NUM
sc-1145	552	66	02	02	NUM
sc-1145	552	67	2020	2020	NUM
sc-1145	552	68	|	|	ADV
sc-1145	552	69	volume	volume	NOUN
sc-1145	552	70	4	4	NUM
sc-1145	552	71	|	|	NOUN
sc-1145	552	72	issue	issue	VERB
sc-1145	552	73	9	9	NUM
sc-1145	552	74	|	|	CCONJ
sc-1145	552	75	e4	e4	NOUN
sc-1145	552	76	reduction	reduction	NOUN
sc-1145	552	77	in	in	ADP
sc-1145	552	78	buildings	building	NOUN
sc-1145	552	79	energy	energy	NOUN
sc-1145	552	80	management	management	NOUN
sc-1145	552	81	,	,	PUNCT
sc-1145	552	82	”	"	PUNCT
sc-1145	552	83	energy	energy	NOUN
sc-1145	552	84	and	and	CCONJ
sc-1145	552	85	buildings	building	NOUN
sc-1145	552	86	,	,	PUNCT
sc-1145	552	87	vol	vol	NOUN
sc-1145	552	88	.	.	PROPN
sc-1145	552	89	155	155	NUM
sc-1145	552	90	,	,	PUNCT
sc-1145	552	91	pp	pp	ADJ
sc-1145	552	92	.	.	PUNCT
sc-1145	553	1	269–281	269–281	NUM
sc-1145	553	2	,	,	PUNCT
sc-1145	553	3	nov	nov	PROPN
sc-1145	553	4	2017	2017	NUM
sc-1145	553	5	.	.	PUNCT
sc-1145	554	1	[	[	X
sc-1145	554	2	6	6	NUM
sc-1145	554	3	]	]	PUNCT
sc-1145	554	4	a.	a.	PROPN
sc-1145	554	5	gonzález	gonzález	PROPN
sc-1145	554	6	-	-	PUNCT
sc-1145	554	7	briones	briones	PROPN
sc-1145	554	8	,	,	PUNCT
sc-1145	554	9	j.	j.	PROPN
sc-1145	554	10	prieto	prieto	PROPN
sc-1145	554	11	,	,	PUNCT
sc-1145	554	12	f.	f.	PROPN
sc-1145	554	13	d.	d.	PROPN
sc-1145	554	14	l.	l.	PROPN
sc-1145	554	15	prieta	prieta	PROPN
sc-1145	554	16	,	,	PUNCT
sc-1145	554	17	e.	e.	PROPN
sc-1145	554	18	herreraviedma	herreraviedma	PROPN
sc-1145	554	19	,	,	PUNCT
sc-1145	554	20	and	and	CCONJ
sc-1145	554	21	j.	j.	PROPN
sc-1145	554	22	corchado	corchado	PROPN
sc-1145	554	23	,	,	PUNCT
sc-1145	554	24	“	"	PUNCT
sc-1145	554	25	energy	energy	NOUN
sc-1145	554	26	optimization	optimization	NOUN
sc-1145	554	27	using	use	VERB
sc-1145	554	28	a	a	DET
sc-1145	554	29	case	case	NOUN
sc-1145	554	30	-	-	PUNCT
sc-1145	554	31	based	base	VERB
sc-1145	554	32	reasoning	reasoning	NOUN
sc-1145	554	33	strategy	strategy	NOUN
sc-1145	554	34	,	,	PUNCT
sc-1145	554	35	”	"	PUNCT
sc-1145	554	36	sensors	sensor	NOUN
sc-1145	554	37	,	,	PUNCT
sc-1145	554	38	vol	vol	NOUN
sc-1145	554	39	.	.	PROPN
sc-1145	554	40	18	18	NUM
sc-1145	554	41	,	,	PUNCT
sc-1145	554	42	p.	p.	NOUN
sc-1145	554	43	865	865	NUM
sc-1145	554	44	,	,	PUNCT
sc-1145	554	45	mar	mar	PROPN
sc-1145	554	46	2018	2018	NUM
sc-1145	554	47	.	.	PUNCT
sc-1145	555	1	[	[	X
sc-1145	555	2	7	7	X
sc-1145	555	3	]	]	X
sc-1145	555	4	r.	r.	PROPN
sc-1145	555	5	platon	platon	PROPN
sc-1145	555	6	,	,	PUNCT
sc-1145	555	7	v.	v.	PROPN
sc-1145	555	8	r.	r.	PROPN
sc-1145	555	9	dehkordi	dehkordi	PROPN
sc-1145	555	10	,	,	PUNCT
sc-1145	555	11	and	and	CCONJ
sc-1145	555	12	j.	j.	PROPN
sc-1145	555	13	martel	martel	PROPN
sc-1145	555	14	,	,	PUNCT
sc-1145	555	15	“	"	PUNCT
sc-1145	555	16	hourly	hourly	ADJ
sc-1145	555	17	prediction	prediction	NOUN
sc-1145	555	18	of	of	ADP
sc-1145	555	19	a	a	DET
sc-1145	555	20	building	building	NOUN
sc-1145	555	21	’s	’s	PART
sc-1145	555	22	electricity	electricity	NOUN
sc-1145	555	23	consumption	consumption	NOUN
sc-1145	555	24	using	use	VERB
sc-1145	555	25	case	case	NOUN
sc-1145	555	26	-	-	PUNCT
sc-1145	555	27	based	base	VERB
sc-1145	555	28	reasoning	reasoning	NOUN
sc-1145	555	29	,	,	PUNCT
sc-1145	555	30	artificial	artificial	ADJ
sc-1145	555	31	neural	neural	ADJ
sc-1145	555	32	networks	network	NOUN
sc-1145	555	33	and	and	CCONJ
sc-1145	555	34	principal	principal	ADJ
sc-1145	555	35	component	component	NOUN
sc-1145	555	36	analysis	analysis	NOUN
sc-1145	555	37	,	,	PUNCT
sc-1145	555	38	”	"	PUNCT
sc-1145	555	39	energy	energy	NOUN
sc-1145	555	40	and	and	CCONJ
sc-1145	555	41	buildings	building	NOUN
sc-1145	555	42	,	,	PUNCT
sc-1145	555	43	vol	vol	NOUN
sc-1145	555	44	.	.	PROPN
sc-1145	556	1	92	92	NUM
sc-1145	556	2	,	,	PUNCT
sc-1145	556	3	pp	pp	ADJ
sc-1145	556	4	.	.	PUNCT
sc-1145	557	1	10–18	10–18	NUM
sc-1145	557	2	,	,	PUNCT
sc-1145	557	3	apr	apr	NOUN
sc-1145	557	4	2015	2015	NUM
sc-1145	557	5	.	.	PUNCT
sc-1145	558	1	[	[	X
sc-1145	558	2	8	8	NUM
sc-1145	558	3	]	]	X
sc-1145	558	4	r.	r.	PROPN
sc-1145	558	5	faia	faia	PROPN
sc-1145	558	6	,	,	PUNCT
sc-1145	558	7	t.	t.	NOUN
sc-1145	558	8	pinto	pinto	NOUN
sc-1145	558	9	,	,	PUNCT
sc-1145	558	10	t.	t.	PROPN
sc-1145	558	11	sousa	sousa	PROPN
sc-1145	558	12	,	,	PUNCT
sc-1145	558	13	z.	z.	PROPN
sc-1145	558	14	a.	a.	PROPN
sc-1145	558	15	vale	vale	PROPN
sc-1145	558	16	,	,	PUNCT
sc-1145	558	17	and	and	CCONJ
sc-1145	558	18	j.	j.	PROPN
sc-1145	558	19	m.	m.	PROPN
sc-1145	558	20	corchado	corchado	PROPN
sc-1145	558	21	,	,	PUNCT
sc-1145	558	22	“	"	PUNCT
sc-1145	558	23	automatic	automatic	ADJ
sc-1145	558	24	selection	selection	NOUN
sc-1145	558	25	of	of	ADP
sc-1145	558	26	optimization	optimization	NOUN
sc-1145	558	27	algorithms	algorithm	NOUN
sc-1145	558	28	for	for	ADP
sc-1145	558	29	energy	energy	NOUN
sc-1145	558	30	resource	resource	NOUN
sc-1145	558	31	scheduling	scheduling	NOUN
sc-1145	558	32	using	use	VERB
sc-1145	558	33	a	a	DET
sc-1145	558	34	case	case	NOUN
sc-1145	558	35	-	-	PUNCT
sc-1145	558	36	based	base	VERB
sc-1145	558	37	reasoning	reasoning	NOUN
sc-1145	558	38	system	system	NOUN
sc-1145	558	39	,	,	PUNCT
sc-1145	558	40	”	"	PUNCT
sc-1145	558	41	undefined	undefined	ADJ
sc-1145	558	42	,	,	PUNCT
sc-1145	558	43	2017	2017	NUM
sc-1145	558	44	.	.	PUNCT
sc-1145	559	1	[	[	X
sc-1145	559	2	9	9	NUM
sc-1145	559	3	]	]	PUNCT
sc-1145	559	4	x.	x.	PROPN
sc-1145	559	5	xiao	xiao	PROPN
sc-1145	559	6	,	,	PUNCT
sc-1145	559	7	m.	m.	NOUN
sc-1145	559	8	skitmore	skitmore	NOUN
sc-1145	559	9	,	,	PUNCT
sc-1145	559	10	and	and	CCONJ
sc-1145	559	11	x.	x.	PROPN
sc-1145	559	12	hu	hu	PROPN
sc-1145	559	13	,	,	PUNCT
sc-1145	559	14	“	"	PUNCT
sc-1145	559	15	case	case	NOUN
sc-1145	559	16	-	-	PUNCT
sc-1145	559	17	based	base	VERB
sc-1145	559	18	reasoning	reasoning	NOUN
sc-1145	559	19	and	and	CCONJ
sc-1145	559	20	text	text	NOUN
sc-1145	559	21	mining	mining	NOUN
sc-1145	559	22	for	for	ADP
sc-1145	559	23	green	green	ADJ
sc-1145	559	24	building	building	NOUN
sc-1145	559	25	decision	decision	NOUN
sc-1145	559	26	making	making	NOUN
sc-1145	559	27	,	,	PUNCT
sc-1145	559	28	”	"	PUNCT
sc-1145	559	29	energy	energy	NOUN
sc-1145	559	30	procedia	procedia	NOUN
sc-1145	559	31	,	,	PUNCT
sc-1145	559	32	vol	vol	NOUN
sc-1145	559	33	.	.	NOUN
sc-1145	559	34	111	111	NUM
sc-1145	559	35	,	,	PUNCT
sc-1145	559	36	pp	pp	ADJ
sc-1145	559	37	.	.	PUNCT
sc-1145	560	1	417–425	417–425	NUM
sc-1145	560	2	,	,	PUNCT
sc-1145	560	3	mar	mar	PROPN
sc-1145	560	4	2017	2017	NUM
sc-1145	560	5	.	.	PUNCT
sc-1145	561	1	[	[	X
sc-1145	561	2	10	10	NUM
sc-1145	561	3	]	]	X
sc-1145	561	4	l.	l.	PROPN
sc-1145	561	5	shen	shen	PROPN
sc-1145	561	6	,	,	PUNCT
sc-1145	561	7	h.	h.	PROPN
sc-1145	561	8	yan	yan	PROPN
sc-1145	561	9	,	,	PUNCT
sc-1145	561	10	h.	h.	PROPN
sc-1145	561	11	fan	fan	PROPN
sc-1145	561	12	,	,	PUNCT
sc-1145	561	13	y.	y.	PROPN
sc-1145	561	14	wu	wu	PROPN
sc-1145	561	15	,	,	PUNCT
sc-1145	561	16	and	and	CCONJ
sc-1145	561	17	y.	y.	PROPN
sc-1145	561	18	zhang	zhang	PROPN
sc-1145	561	19	,	,	PUNCT
sc-1145	561	20	“	"	PUNCT
sc-1145	561	21	an	an	DET
sc-1145	561	22	integrated	integrated	ADJ
sc-1145	561	23	system	system	NOUN
sc-1145	561	24	of	of	ADP
sc-1145	561	25	text	text	NOUN
sc-1145	561	26	mining	mining	NOUN
sc-1145	561	27	technique	technique	NOUN
sc-1145	561	28	and	and	CCONJ
sc-1145	561	29	casebased	casebase	VERB
sc-1145	561	30	reasoning	reasoning	NOUN
sc-1145	561	31	(	(	PUNCT
sc-1145	561	32	tm	tm	PROPN
sc-1145	561	33	-	-	PUNCT
sc-1145	561	34	cbr	cbr	NOUN
sc-1145	561	35	)	)	PUNCT
sc-1145	561	36	for	for	ADP
sc-1145	561	37	supporting	support	VERB
sc-1145	561	38	green	green	ADJ
sc-1145	561	39	building	building	NOUN
sc-1145	561	40	design	design	NOUN
sc-1145	561	41	,	,	PUNCT
sc-1145	561	42	”	"	PUNCT
sc-1145	561	43	building	building	NOUN
sc-1145	561	44	and	and	CCONJ
sc-1145	561	45	environment	environment	NOUN
sc-1145	561	46	,	,	PUNCT
sc-1145	561	47	vol	vol	NOUN
sc-1145	561	48	.	.	PROPN
sc-1145	561	49	124	124	NUM
sc-1145	561	50	,	,	PUNCT
sc-1145	561	51	pp	pp	ADJ
sc-1145	561	52	.	.	PUNCT
sc-1145	562	1	388	388	NUM
sc-1145	562	2	–	–	PUNCT
sc-1145	562	3	401	401	NUM
sc-1145	562	4	,	,	PUNCT
sc-1145	562	5	2017	2017	NUM
sc-1145	562	6	.	.	PUNCT
sc-1145	563	1	[	[	X
sc-1145	563	2	11	11	NUM
sc-1145	563	3	]	]	PUNCT
sc-1145	563	4	a.	a.	PROPN
sc-1145	563	5	gonzález	gonzález	PROPN
sc-1145	563	6	-	-	PUNCT
sc-1145	563	7	briones	briones	PROPN
sc-1145	563	8	,	,	PUNCT
sc-1145	563	9	j.	j.	PROPN
sc-1145	563	10	prieto	prieto	PROPN
sc-1145	563	11	,	,	PUNCT
sc-1145	563	12	f.	f.	PROPN
sc-1145	563	13	d.	d.	PROPN
sc-1145	563	14	l.	l.	PROPN
sc-1145	563	15	prieta	prieta	PROPN
sc-1145	563	16	,	,	PUNCT
sc-1145	563	17	e.	e.	PROPN
sc-1145	563	18	herreraviedma	herreraviedma	PROPN
sc-1145	563	19	,	,	PUNCT
sc-1145	563	20	and	and	CCONJ
sc-1145	563	21	j.	j.	PROPN
sc-1145	563	22	m.	m.	PROPN
sc-1145	563	23	corchado	corchado	PROPN
sc-1145	563	24	,	,	PUNCT
sc-1145	563	25	“	"	PUNCT
sc-1145	563	26	enervmas	enervma	NOUN
sc-1145	563	27	:	:	PUNCT
sc-1145	563	28	virtual	virtual	ADJ
sc-1145	563	29	agent	agent	NOUN
sc-1145	563	30	organizations	organization	NOUN
sc-1145	563	31	to	to	PART
sc-1145	563	32	optimize	optimize	VERB
sc-1145	563	33	energy	energy	NOUN
sc-1145	563	34	consumption	consumption	NOUN
sc-1145	563	35	using	use	VERB
sc-1145	563	36	intelligent	intelligent	ADJ
sc-1145	563	37	temperature	temperature	NOUN
sc-1145	563	38	calibration	calibration	NOUN
sc-1145	563	39	,	,	PUNCT
sc-1145	563	40	”	"	PUNCT
sc-1145	563	41	sensors	sensor	NOUN
sc-1145	563	42	,	,	PUNCT
sc-1145	563	43	vol	vol	NOUN
sc-1145	563	44	.	.	PROPN
sc-1145	563	45	18	18	NUM
sc-1145	563	46	,	,	PUNCT
sc-1145	563	47	p.	p.	NOUN
sc-1145	563	48	865	865	NUM
sc-1145	563	49	,	,	PUNCT
sc-1145	563	50	2018	2018	NUM
sc-1145	563	51	.	.	PUNCT
sc-1145	564	1	[	[	X
sc-1145	564	2	12	12	NUM
sc-1145	564	3	]	]	PUNCT
sc-1145	564	4	m.	m.	NOUN
sc-1145	564	5	minor	minor	NOUN
sc-1145	564	6	and	and	CCONJ
sc-1145	564	7	l.	l.	PROPN
sc-1145	564	8	marx	marx	PROPN
sc-1145	564	9	,	,	PUNCT
sc-1145	564	10	“	"	PUNCT
sc-1145	564	11	case	case	NOUN
sc-1145	564	12	-	-	PUNCT
sc-1145	564	13	based	base	VERB
sc-1145	564	14	reasoning	reasoning	NOUN
sc-1145	564	15	for	for	ADP
sc-1145	564	16	inert	inert	ADJ
sc-1145	564	17	systems	system	NOUN
sc-1145	564	18	in	in	ADP
sc-1145	564	19	building	build	VERB
sc-1145	564	20	energy	energy	NOUN
sc-1145	564	21	management	management	NOUN
sc-1145	564	22	,	,	PUNCT
sc-1145	564	23	”	"	PUNCT
sc-1145	564	24	2017	2017	NUM
sc-1145	564	25	.	.	PUNCT
sc-1145	565	1	[	[	X
sc-1145	565	2	13	13	NUM
sc-1145	565	3	]	]	PUNCT
sc-1145	565	4	k.	k.	PROPN
sc-1145	565	5	amasyali	amasyali	PROPN
sc-1145	565	6	and	and	CCONJ
sc-1145	565	7	n.	n.	PROPN
sc-1145	565	8	m.	m.	PROPN
sc-1145	565	9	el	el	PROPN
sc-1145	565	10	-	-	NOUN
sc-1145	565	11	gohary	gohary	NOUN
sc-1145	565	12	,	,	PUNCT
sc-1145	565	13	“	"	PUNCT
sc-1145	565	14	a	a	DET
sc-1145	565	15	review	review	NOUN
sc-1145	565	16	of	of	ADP
sc-1145	565	17	data	data	NOUN
sc-1145	565	18	-	-	PUNCT
sc-1145	565	19	driven	drive	VERB
sc-1145	565	20	building	building	NOUN
sc-1145	565	21	energy	energy	NOUN
sc-1145	565	22	consumption	consumption	NOUN
sc-1145	565	23	prediction	prediction	NOUN
sc-1145	565	24	studies	study	NOUN
sc-1145	565	25	,	,	PUNCT
sc-1145	565	26	”	"	PUNCT
sc-1145	565	27	renewable	renewable	ADJ
sc-1145	565	28	and	and	CCONJ
sc-1145	565	29	sustainable	sustainable	ADJ
sc-1145	565	30	energy	energy	NOUN
sc-1145	565	31	reviews	review	NOUN
sc-1145	565	32	,	,	PUNCT
sc-1145	565	33	vol	vol	NOUN
sc-1145	565	34	.	.	PROPN
sc-1145	565	35	81	81	NUM
sc-1145	565	36	,	,	PUNCT
sc-1145	565	37	pp	pp	ADJ
sc-1145	565	38	.	.	PUNCT
sc-1145	566	1	1192–1205	1192–1205	NUM
sc-1145	566	2	,	,	PUNCT
sc-1145	566	3	2018	2018	NUM
sc-1145	566	4	.	.	PUNCT
sc-1145	567	1	[	[	X
sc-1145	567	2	14	14	NUM
sc-1145	567	3	]	]	X
sc-1145	567	4	n.	n.	NOUN
sc-1145	567	5	nouaouria	nouaouria	PROPN
sc-1145	567	6	,	,	PUNCT
sc-1145	567	7	“	"	PUNCT
sc-1145	567	8	una	una	X
sc-1145	567	9	approche	approche	NOUN
sc-1145	567	10	d’optimisation	d’optimisation	NOUN
sc-1145	567	11	par	par	NOUN
sc-1145	567	12	essaim	essaim	NOUN
sc-1145	567	13	de	de	X
sc-1145	567	14	particules	particules	X
sc-1145	567	15	pour	pour	X
sc-1145	567	16	le	le	X
sc-1145	567	17	recherche	recherche	X
sc-1145	567	18	en	en	X
sc-1145	567	19	mémoire	mémoire	X
sc-1145	567	20	de	de	X
sc-1145	567	21	cas	cas	PROPN
sc-1145	567	22	,	,	PUNCT
sc-1145	567	23	”	"	PUNCT
sc-1145	567	24	2013	2013	NUM
sc-1145	567	25	.	.	PUNCT
sc-1145	568	1	[	[	X
sc-1145	568	2	15	15	NUM
sc-1145	568	3	]	]	X
sc-1145	568	4	r.	r.	PROPN
sc-1145	568	5	c.	c.	PROPN
sc-1145	568	6	schank	schank	PROPN
sc-1145	568	7	,	,	PUNCT
sc-1145	568	8	dynamic	dynamic	ADJ
sc-1145	568	9	memory	memory	NOUN
sc-1145	568	10	:	:	PUNCT
sc-1145	568	11	a	a	DET
sc-1145	568	12	theory	theory	NOUN
sc-1145	568	13	of	of	ADP
sc-1145	568	14	reminding	remind	VERB
sc-1145	568	15	and	and	CCONJ
sc-1145	568	16	learning	learn	VERB
sc-1145	568	17	in	in	ADP
sc-1145	568	18	computers	computer	NOUN
sc-1145	568	19	and	and	CCONJ
sc-1145	568	20	people	people	NOUN
sc-1145	568	21	,	,	PUNCT
sc-1145	568	22	vol	vol	NOUN
sc-1145	568	23	.	.	PROPN
sc-1145	568	24	240	240	NUM
sc-1145	568	25	.	.	NOUN
sc-1145	568	26	1982	1982	NUM
sc-1145	568	27	.	.	PUNCT
sc-1145	569	1	[	[	X
sc-1145	569	2	16	16	NUM
sc-1145	569	3	]	]	X
sc-1145	569	4	e.	e.	PROPN
sc-1145	569	5	r.	r.	PROPN
sc-1145	569	6	bareiss	bareiss	PROPN
sc-1145	569	7	,	,	PUNCT
sc-1145	569	8	b.	b.	PROPN
sc-1145	569	9	w.	w.	PROPN
sc-1145	569	10	porter	porter	PROPN
sc-1145	569	11	,	,	PUNCT
sc-1145	569	12	and	and	CCONJ
sc-1145	569	13	c.	c.	PROPN
sc-1145	569	14	c.	c.	PROPN
sc-1145	569	15	wier	wier	PROPN
sc-1145	569	16	,	,	PUNCT
sc-1145	569	17	“	"	PUNCT
sc-1145	569	18	protos	proto	NOUN
sc-1145	569	19	:	:	PUNCT
sc-1145	569	20	an	an	DET
sc-1145	569	21	exemplar	exemplar	NOUN
sc-1145	569	22	-	-	PUNCT
sc-1145	569	23	based	base	VERB
sc-1145	569	24	learning	learning	NOUN
sc-1145	569	25	apprentice	apprentice	NOUN
sc-1145	569	26	,	,	PUNCT
sc-1145	569	27	”	"	PUNCT
sc-1145	569	28	in	in	ADP
sc-1145	569	29	machine	machine	NOUN
sc-1145	569	30	learning	learning	NOUN
sc-1145	569	31	,	,	PUNCT
sc-1145	569	32	volume	volume	NOUN
sc-1145	569	33	iii	iii	PROPN
sc-1145	569	34	,	,	PUNCT
sc-1145	569	35	pp	pp	ADP
sc-1145	569	36	.	.	PUNCT
sc-1145	570	1	112–127	112–127	NUM
sc-1145	570	2	,	,	PUNCT
sc-1145	570	3	1990	1990	NUM
sc-1145	570	4	.	.	PUNCT
sc-1145	571	1	[	[	X
sc-1145	571	2	17	17	NUM
sc-1145	571	3	]	]	PUNCT
sc-1145	571	4	j.	j.	PROPN
sc-1145	571	5	daengdej	daengdej	PROPN
sc-1145	571	6	,	,	PUNCT
sc-1145	571	7	d.	d.	PROPN
sc-1145	571	8	lukose	lukose	PROPN
sc-1145	571	9	,	,	PUNCT
sc-1145	571	10	and	and	CCONJ
sc-1145	571	11	r.	r.	PROPN
sc-1145	571	12	murison	murison	PROPN
sc-1145	571	13	,	,	PUNCT
sc-1145	571	14	“	"	PUNCT
sc-1145	571	15	using	use	VERB
sc-1145	571	16	statistical	statistical	ADJ
sc-1145	571	17	models	model	NOUN
sc-1145	571	18	and	and	CCONJ
sc-1145	571	19	case	case	NOUN
sc-1145	571	20	-	-	PUNCT
sc-1145	571	21	based	base	VERB
sc-1145	571	22	reasoning	reasoning	NOUN
sc-1145	571	23	in	in	ADP
sc-1145	571	24	claims	claim	NOUN
sc-1145	571	25	prediction	prediction	NOUN
sc-1145	571	26	:	:	PUNCT
sc-1145	571	27	experience	experience	NOUN
sc-1145	571	28	from	from	ADP
sc-1145	571	29	a	a	DET
sc-1145	571	30	real	real	ADJ
sc-1145	571	31	-	-	PUNCT
sc-1145	571	32	world	world	NOUN
sc-1145	571	33	problem	problem	NOUN
sc-1145	571	34	,	,	PUNCT
sc-1145	571	35	”	"	PUNCT
sc-1145	571	36	knowledge	knowledge	NOUN
sc-1145	571	37	-	-	PUNCT
sc-1145	571	38	based	base	VERB
sc-1145	571	39	systems	system	NOUN
sc-1145	571	40	,	,	PUNCT
sc-1145	571	41	vol	vol	NOUN
sc-1145	571	42	.	.	PROPN
sc-1145	571	43	12	12	NUM
sc-1145	571	44	,	,	PUNCT
sc-1145	571	45	pp	pp	ADJ
sc-1145	571	46	.	.	PUNCT
sc-1145	572	1	239–245	239–245	NUM
sc-1145	572	2	,	,	PUNCT
sc-1145	572	3	oct	oct	NOUN
sc-1145	572	4	1999	1999	NUM
sc-1145	572	5	.	.	PUNCT
sc-1145	573	1	[	[	X
sc-1145	573	2	18	18	NUM
sc-1145	573	3	]	]	PUNCT
sc-1145	573	4	j.	j.	PROPN
sc-1145	573	5	l.	l.	PROPN
sc-1145	573	6	kolodner	kolodner	PROPN
sc-1145	573	7	,	,	PUNCT
sc-1145	573	8	“	"	PUNCT
sc-1145	573	9	an	an	DET
sc-1145	573	10	introduction	introduction	NOUN
sc-1145	573	11	to	to	ADP
sc-1145	573	12	case	case	NOUN
sc-1145	573	13	-	-	PUNCT
sc-1145	573	14	based	base	VERB
sc-1145	573	15	reasoning	reasoning	NOUN
sc-1145	573	16	,	,	PUNCT
sc-1145	573	17	”	"	PUNCT
sc-1145	573	18	artificial	artificial	ADJ
sc-1145	573	19	intelligence	intelligence	NOUN
sc-1145	573	20	review	review	NOUN
sc-1145	573	21	,	,	PUNCT
sc-1145	573	22	vol	vol	NOUN
sc-1145	573	23	.	.	PROPN
sc-1145	573	24	6	6	NUM
sc-1145	573	25	,	,	PUNCT
sc-1145	573	26	no	no	INTJ
sc-1145	573	27	.	.	NOUN
sc-1145	573	28	1	1	NUM
sc-1145	573	29	,	,	PUNCT
sc-1145	573	30	pp	pp	ADJ
sc-1145	573	31	.	.	PUNCT
sc-1145	574	1	3–34	3–34	NUM
sc-1145	574	2	,	,	PUNCT
sc-1145	574	3	1992	1992	NUM
sc-1145	574	4	.	.	PUNCT
sc-1145	575	1	[	[	X
sc-1145	575	2	19	19	NUM
sc-1145	575	3	]	]	PUNCT
sc-1145	575	4	j.	j.	PROPN
sc-1145	575	5	w.	w.	PROPN
sc-1145	575	6	schaaf	schaaf	PROPN
sc-1145	575	7	,	,	PUNCT
sc-1145	575	8	“	"	PUNCT
sc-1145	575	9	fish	fish	NOUN
sc-1145	575	10	and	and	CCONJ
sc-1145	575	11	shrink	shrink	VERB
sc-1145	575	12	.	.	PUNCT
sc-1145	576	1	a	a	DET
sc-1145	576	2	next	next	ADJ
sc-1145	576	3	step	step	NOUN
sc-1145	576	4	towards	towards	ADP
sc-1145	576	5	efficient	efficient	ADJ
sc-1145	576	6	case	case	NOUN
sc-1145	576	7	retrieval	retrieval	NOUN
sc-1145	576	8	in	in	ADP
sc-1145	576	9	large	large	ADJ
sc-1145	576	10	scaled	scale	VERB
sc-1145	576	11	case	case	NOUN
sc-1145	576	12	bases	basis	NOUN
sc-1145	576	13	,	,	PUNCT
sc-1145	576	14	”	"	PUNCT
sc-1145	576	15	in	in	ADP
sc-1145	576	16	european	european	ADJ
sc-1145	576	17	workshop	workshop	NOUN
sc-1145	576	18	on	on	ADP
sc-1145	576	19	advances	advance	NOUN
sc-1145	576	20	in	in	ADP
sc-1145	576	21	case	case	NOUN
sc-1145	576	22	-	-	PUNCT
sc-1145	576	23	based	base	VERB
sc-1145	576	24	reasoning	reasoning	NOUN
sc-1145	576	25	,	,	PUNCT
sc-1145	576	26	pp	pp	ADJ
sc-1145	576	27	.	.	PUNCT
sc-1145	577	1	362–376	362–376	NUM
sc-1145	577	2	,	,	PUNCT
sc-1145	577	3	1996	1996	NUM
sc-1145	577	4	.	.	PUNCT
sc-1145	578	1	[	[	X
sc-1145	578	2	20	20	NUM
sc-1145	578	3	]	]	PUNCT
sc-1145	578	4	y.-j	y.-j	PROPN
sc-1145	578	5	.	.	PROPN
sc-1145	578	6	park	park	PROPN
sc-1145	578	7	,	,	PUNCT
sc-1145	578	8	b.-c	b.-c	NOUN
sc-1145	578	9	.	.	PUNCT
sc-1145	579	1	kim	kim	PROPN
sc-1145	579	2	,	,	PUNCT
sc-1145	579	3	and	and	CCONJ
sc-1145	579	4	s.-h	s.-h	NOUN
sc-1145	579	5	.	.	PUNCT
sc-1145	580	1	chun	chun	PROPN
sc-1145	580	2	,	,	PUNCT
sc-1145	580	3	“	"	PUNCT
sc-1145	580	4	new	new	ADJ
sc-1145	580	5	knowledge	knowledge	NOUN
sc-1145	580	6	extraction	extraction	NOUN
sc-1145	580	7	technique	technique	NOUN
sc-1145	580	8	using	use	VERB
sc-1145	580	9	probability	probability	NOUN
sc-1145	580	10	for	for	ADP
sc-1145	580	11	case	case	NOUN
sc-1145	580	12	-	-	PUNCT
sc-1145	580	13	based	base	VERB
sc-1145	580	14	reasoning	reasoning	NOUN
sc-1145	580	15	:	:	PUNCT
sc-1145	580	16	application	application	NOUN
sc-1145	580	17	to	to	ADP
sc-1145	580	18	medical	medical	ADJ
sc-1145	580	19	diagnosis	diagnosis	NOUN
sc-1145	580	20	,	,	PUNCT
sc-1145	580	21	”	"	PUNCT
sc-1145	580	22	expert	expert	NOUN
sc-1145	580	23	systems	system	NOUN
sc-1145	580	24	,	,	PUNCT
sc-1145	580	25	vol	vol	NOUN
sc-1145	580	26	.	.	PROPN
sc-1145	580	27	23	23	NUM
sc-1145	580	28	,	,	PUNCT
sc-1145	580	29	no	no	INTJ
sc-1145	580	30	.	.	NOUN
sc-1145	580	31	1	1	NUM
sc-1145	580	32	,	,	PUNCT
sc-1145	580	33	pp	pp	ADJ
sc-1145	580	34	.	.	PUNCT
sc-1145	581	1	2–20	2–20	ADJ
sc-1145	581	2	,	,	PUNCT
sc-1145	581	3	2006	2006	NUM
sc-1145	581	4	.	.	PUNCT
sc-1145	582	1	[	[	X
sc-1145	582	2	21	21	NUM
sc-1145	582	3	]	]	X
sc-1145	582	4	r.	r.	PROPN
sc-1145	582	5	l.	l.	PROPN
sc-1145	582	6	de	de	PROPN
sc-1145	582	7	mantaras	mantaras	PROPN
sc-1145	582	8	,	,	PUNCT
sc-1145	582	9	d.	d.	PROPN
sc-1145	582	10	mcsherry	mcsherry	PROPN
sc-1145	582	11	,	,	PUNCT
sc-1145	582	12	d.	d.	PROPN
sc-1145	582	13	bridge	bridge	PROPN
sc-1145	582	14	,	,	PUNCT
sc-1145	582	15	d.	d.	PROPN
sc-1145	582	16	leake	leake	PROPN
sc-1145	582	17	,	,	PUNCT
sc-1145	582	18	b.	b.	PROPN
sc-1145	582	19	smyth	smyth	PROPN
sc-1145	582	20	,	,	PUNCT
sc-1145	582	21	s.	s.	PROPN
sc-1145	582	22	craw	craw	PROPN
sc-1145	582	23	,	,	PUNCT
sc-1145	582	24	b.	b.	PROPN
sc-1145	582	25	faltings	falting	NOUN
sc-1145	582	26	,	,	PUNCT
sc-1145	582	27	m.	m.	NOUN
sc-1145	582	28	l.	l.	PROPN
sc-1145	582	29	maher	maher	PROPN
sc-1145	582	30	,	,	PUNCT
sc-1145	582	31	m.	m.	PROPN
sc-1145	582	32	t	t	PROPN
sc-1145	582	33	cox	cox	PROPN
sc-1145	582	34	,	,	PUNCT
sc-1145	582	35	k.	k.	PROPN
sc-1145	582	36	forbus	forbus	PROPN
sc-1145	582	37	,	,	PUNCT
sc-1145	582	38	et	et	PROPN
sc-1145	582	39	al	al	PROPN
sc-1145	582	40	.	.	PROPN
sc-1145	582	41	,	,	PUNCT
sc-1145	582	42	“	"	PUNCT
sc-1145	582	43	retrieval	retrieval	NOUN
sc-1145	582	44	,	,	PUNCT
sc-1145	582	45	reuse	reuse	NOUN
sc-1145	582	46	,	,	PUNCT
sc-1145	582	47	revision	revision	NOUN
sc-1145	582	48	and	and	CCONJ
sc-1145	582	49	retention	retention	NOUN
sc-1145	582	50	in	in	ADP
sc-1145	582	51	case	case	NOUN
sc-1145	582	52	-	-	PUNCT
sc-1145	582	53	based	base	VERB
sc-1145	582	54	reasoning	reasoning	NOUN
sc-1145	582	55	,	,	PUNCT
sc-1145	582	56	”	"	PUNCT
sc-1145	582	57	the	the	DET
sc-1145	582	58	knowledge	knowledge	PROPN
sc-1145	582	59	engineering	engineering	PROPN
sc-1145	582	60	review	review	PROPN
sc-1145	582	61	,	,	PUNCT
sc-1145	582	62	vol	vol	NOUN
sc-1145	582	63	.	.	PROPN
sc-1145	582	64	20	20	NUM
sc-1145	582	65	,	,	PUNCT
sc-1145	582	66	no	no	INTJ
sc-1145	582	67	.	.	NOUN
sc-1145	582	68	3	3	NUM
sc-1145	582	69	,	,	PUNCT
sc-1145	582	70	pp	pp	ADJ
sc-1145	582	71	.	.	PUNCT
sc-1145	583	1	215–240	215–240	NUM
sc-1145	583	2	,	,	PUNCT
sc-1145	583	3	2005	2005	NUM
sc-1145	583	4	.	.	PUNCT
sc-1145	584	1	[	[	X
sc-1145	584	2	22	22	NUM
sc-1145	584	3	]	]	PUNCT
sc-1145	584	4	b.	b.	PROPN
sc-1145	584	5	löpez	löpez	PROPN
sc-1145	584	6	,	,	PUNCT
sc-1145	584	7	“	"	PUNCT
sc-1145	584	8	case	case	NOUN
sc-1145	584	9	-	-	PUNCT
sc-1145	584	10	based	base	VERB
sc-1145	584	11	reasoning	reasoning	NOUN
sc-1145	584	12	:	:	PUNCT
sc-1145	584	13	a	a	DET
sc-1145	584	14	concise	concise	ADJ
sc-1145	584	15	introduction	introduction	NOUN
sc-1145	584	16	,	,	PUNCT
sc-1145	584	17	”	"	PUNCT
sc-1145	584	18	synthesis	synthesis	NOUN
sc-1145	584	19	lectures	lecture	NOUN
sc-1145	584	20	on	on	ADP
sc-1145	584	21	artificial	artificial	ADJ
sc-1145	584	22	intelligence	intelligence	NOUN
sc-1145	584	23	and	and	CCONJ
sc-1145	584	24	machine	machine	NOUN
sc-1145	584	25	learning	learning	NOUN
sc-1145	584	26	,	,	PUNCT
sc-1145	584	27	vol	vol	NOUN
sc-1145	584	28	.	.	PROPN
sc-1145	584	29	7	7	NUM
sc-1145	584	30	,	,	PUNCT
sc-1145	584	31	no	no	INTJ
sc-1145	584	32	.	.	NOUN
sc-1145	584	33	1	1	NUM
sc-1145	584	34	,	,	PUNCT
sc-1145	584	35	pp	pp	ADJ
sc-1145	584	36	.	.	PUNCT
sc-1145	585	1	1–103	1–103	NUM
sc-1145	585	2	,	,	PUNCT
sc-1145	585	3	2013	2013	NUM
sc-1145	585	4	.	.	PUNCT
sc-1145	586	1	[	[	X
sc-1145	586	2	23	23	NUM
sc-1145	586	3	]	]	PUNCT
sc-1145	586	4	a.	a.	NOUN
sc-1145	586	5	g.	g.	PROPN
sc-1145	586	6	d.	d.	PROPN
sc-1145	586	7	s.	s.	PROPN
sc-1145	586	8	garza	garza	PROPN
sc-1145	586	9	and	and	CCONJ
sc-1145	586	10	m.	m.	PROPN
sc-1145	586	11	l.	l.	PROPN
sc-1145	586	12	maher	maher	PROPN
sc-1145	586	13	,	,	PUNCT
sc-1145	586	14	“	"	PUNCT
sc-1145	586	15	a	a	DET
sc-1145	586	16	process	process	NOUN
sc-1145	586	17	model	model	NOUN
sc-1145	586	18	for	for	ADP
sc-1145	586	19	evolutionary	evolutionary	ADJ
sc-1145	586	20	design	design	NOUN
sc-1145	586	21	case	case	NOUN
sc-1145	586	22	adaptation	adaptation	NOUN
sc-1145	586	23	,	,	PUNCT
sc-1145	586	24	”	"	PUNCT
sc-1145	586	25	in	in	ADP
sc-1145	586	26	artificial	artificial	ADJ
sc-1145	586	27	intelligence	intelligence	NOUN
sc-1145	586	28	in	in	ADP
sc-1145	586	29	design’00	design’00	PROPN
sc-1145	586	30	,	,	PUNCT
sc-1145	586	31	pp	pp	X
sc-1145	586	32	.	.	PUNCT
sc-1145	587	1	393–412	393–412	NUM
sc-1145	587	2	,	,	PUNCT
sc-1145	587	3	2000	2000	NUM
sc-1145	587	4	.	.	PUNCT
sc-1145	588	1	[	[	X
sc-1145	588	2	24	24	NUM
sc-1145	588	3	]	]	PUNCT
sc-1145	588	4	p.	p.	PROPN
sc-1145	588	5	n.	n.	PROPN
sc-1145	588	6	suganthan	suganthan	PROPN
sc-1145	588	7	,	,	PUNCT
sc-1145	588	8	“	"	PUNCT
sc-1145	588	9	particle	particle	NOUN
sc-1145	588	10	swarm	swarm	NOUN
sc-1145	588	11	optimiser	optimiser	NOUN
sc-1145	588	12	with	with	ADP
sc-1145	588	13	neighbourhood	neighbourhood	NOUN
sc-1145	588	14	operator	operator	NOUN
sc-1145	588	15	,	,	PUNCT
sc-1145	588	16	”	"	PUNCT
sc-1145	588	17	in	in	ADP
sc-1145	588	18	evolutionary	evolutionary	ADJ
sc-1145	588	19	computation	computation	NOUN
sc-1145	588	20	,	,	PUNCT
sc-1145	588	21	1999	1999	NUM
sc-1145	588	22	.	.	PUNCT
sc-1145	589	1	cec	cec	PROPN
sc-1145	589	2	99	99	NUM
sc-1145	589	3	.	.	PUNCT
sc-1145	590	1	proceedings	proceeding	NOUN
sc-1145	590	2	of	of	ADP
sc-1145	590	3	the	the	DET
sc-1145	590	4	1999	1999	NUM
sc-1145	590	5	congress	congress	PROPN
sc-1145	590	6	on	on	ADP
sc-1145	590	7	,	,	PUNCT
sc-1145	590	8	vol	vol	NOUN
sc-1145	590	9	.	.	PROPN
sc-1145	591	1	3	3	NUM
sc-1145	591	2	,	,	PUNCT
sc-1145	591	3	pp	pp	ADJ
sc-1145	591	4	.	.	PUNCT
sc-1145	592	1	1958–1962	1958–1962	NUM
sc-1145	592	2	,	,	PUNCT
sc-1145	592	3	1999	1999	NUM
sc-1145	592	4	.	.	PUNCT
sc-1145	593	1	[	[	X
sc-1145	593	2	25	25	NUM
sc-1145	593	3	]	]	X
sc-1145	593	4	c.	c.	PROPN
sc-1145	593	5	rodrigues	rodrigues	PROPN
sc-1145	593	6	and	and	CCONJ
sc-1145	593	7	f.	f.	PROPN
sc-1145	593	8	freire	freire	PROPN
sc-1145	593	9	,	,	PUNCT
sc-1145	593	10	“	"	PUNCT
sc-1145	593	11	adaptive	adaptive	ADJ
sc-1145	593	12	reuse	reuse	NOUN
sc-1145	593	13	of	of	ADP
sc-1145	593	14	buildings	building	NOUN
sc-1145	593	15	:	:	PUNCT
sc-1145	593	16	eco	eco	NOUN
sc-1145	593	17	-	-	PUNCT
sc-1145	593	18	efficiency	efficiency	NOUN
sc-1145	593	19	assessment	assessment	NOUN
sc-1145	593	20	of	of	ADP
sc-1145	593	21	retrofit	retrofit	NOUN
sc-1145	593	22	strategies	strategy	NOUN
sc-1145	593	23	for	for	ADP
sc-1145	593	24	alternative	alternative	ADJ
sc-1145	593	25	uses	use	NOUN
sc-1145	593	26	of	of	ADP
sc-1145	593	27	an	an	DET
sc-1145	593	28	historic	historic	ADJ
sc-1145	593	29	building	building	NOUN
sc-1145	593	30	,	,	PUNCT
sc-1145	593	31	”	"	PUNCT
sc-1145	593	32	journal	journal	NOUN
sc-1145	593	33	of	of	ADP
sc-1145	593	34	cleaner	clean	ADJ
sc-1145	593	35	production	production	NOUN
sc-1145	593	36	,	,	PUNCT
sc-1145	593	37	vol	vol	NOUN
sc-1145	593	38	.	.	PROPN
sc-1145	593	39	157	157	NUM
sc-1145	593	40	,	,	PUNCT
sc-1145	593	41	pp	pp	ADJ
sc-1145	593	42	.	.	PUNCT
sc-1145	594	1	94–105	94–105	NOUN
sc-1145	594	2	,	,	PUNCT
sc-1145	594	3	2017	2017	NUM
sc-1145	594	4	.	.	PUNCT
sc-1145	595	1	[	[	X
sc-1145	595	2	26	26	NUM
sc-1145	595	3	]	]	PUNCT
sc-1145	595	4	j.	j.	PROPN
sc-1145	595	5	mccarthy	mccarthy	PROPN
sc-1145	595	6	,	,	PUNCT
sc-1145	595	7	“	"	PUNCT
sc-1145	595	8	the	the	DET
sc-1145	595	9	frame	frame	NOUN
sc-1145	595	10	problem	problem	NOUN
sc-1145	595	11	today	today	NOUN
sc-1145	595	12	,	,	PUNCT
sc-1145	595	13	”	"	PUNCT
sc-1145	595	14	in	in	ADP
sc-1145	595	15	the	the	DET
sc-1145	595	16	frame	frame	NOUN
sc-1145	595	17	problem	problem	NOUN
sc-1145	595	18	in	in	ADP
sc-1145	595	19	artificial	artificial	ADJ
sc-1145	595	20	intelligence	intelligence	NOUN
sc-1145	595	21	,	,	PUNCT
sc-1145	595	22	p.	p.	NOUN
sc-1145	595	23	3	3	NUM
sc-1145	595	24	,	,	PUNCT
sc-1145	595	25	1987	1987	NUM
sc-1145	595	26	.	.	PUNCT
sc-1145	596	1	[	[	X
sc-1145	596	2	27	27	NUM
sc-1145	596	3	]	]	X
sc-1145	596	4	c.	c.	PROPN
sc-1145	596	5	k.	k.	PROPN
sc-1145	596	6	riesbeck	riesbeck	PROPN
sc-1145	596	7	and	and	CCONJ
sc-1145	596	8	r.	r.	PROPN
sc-1145	596	9	c.	c.	PROPN
sc-1145	596	10	schank	schank	PROPN
sc-1145	596	11	,	,	PUNCT
sc-1145	596	12	inside	inside	ADP
sc-1145	596	13	case	case	NOUN
sc-1145	596	14	-	-	PUNCT
sc-1145	596	15	based	base	VERB
sc-1145	596	16	reasoning	reasoning	NOUN
sc-1145	596	17	.	.	PUNCT
sc-1145	597	1	psychology	psychology	NOUN
sc-1145	597	2	press	press	NOUN
sc-1145	597	3	,	,	PUNCT
sc-1145	597	4	2013	2013	NUM
sc-1145	597	5	.	.	PUNCT
sc-1145	598	1	[	[	X
sc-1145	598	2	28	28	NUM
sc-1145	598	3	]	]	X
sc-1145	598	4	m.	m.	NOUN
sc-1145	598	5	veloso	veloso	PROPN
sc-1145	598	6	and	and	CCONJ
sc-1145	598	7	j.	j.	PROPN
sc-1145	598	8	carbonell	carbonell	PROPN
sc-1145	598	9	,	,	PUNCT
sc-1145	598	10	“	"	PUNCT
sc-1145	598	11	case	case	NOUN
sc-1145	598	12	-	-	PUNCT
sc-1145	598	13	based	base	VERB
sc-1145	598	14	reasoning	reasoning	NOUN
sc-1145	598	15	in	in	ADP
sc-1145	598	16	prodigy	prodigy	NOUN
sc-1145	598	17	,	,	PUNCT
sc-1145	598	18	”	"	PUNCT
sc-1145	598	19	machine	machine	NOUN
sc-1145	598	20	learning	learning	NOUN
sc-1145	598	21	:	:	PUNCT
sc-1145	598	22	a	a	DET
sc-1145	598	23	multistrategy	multistrategy	NOUN
sc-1145	598	24	approach	approach	NOUN
sc-1145	598	25	.	.	PUNCT
sc-1145	599	1	morgan	morgan	PROPN
sc-1145	599	2	kaufmann	kaufmann	PROPN
sc-1145	599	3	,	,	PUNCT
sc-1145	599	4	pp	pp	X
sc-1145	599	5	.	.	PUNCT
sc-1145	600	1	523–548	523–548	NUM
sc-1145	600	2	,	,	PUNCT
sc-1145	600	3	1994	1994	NUM
sc-1145	600	4	.	.	PUNCT
sc-1145	601	1	[	[	X
sc-1145	601	2	29	29	NUM
sc-1145	601	3	]	]	PUNCT
sc-1145	601	4	m.	m.	NOUN
sc-1145	601	5	t.	t.	PROPN
sc-1145	601	6	cox	cox	PROPN
sc-1145	601	7	,	,	PUNCT
sc-1145	601	8	h.	h.	PROPN
sc-1145	601	9	muñoz	muñoz	PROPN
sc-1145	601	10	-	-	PUNCT
sc-1145	601	11	avila	avila	PROPN
sc-1145	601	12	,	,	PUNCT
sc-1145	601	13	and	and	CCONJ
sc-1145	601	14	r.	r.	PROPN
sc-1145	601	15	bergmann	bergmann	PROPN
sc-1145	601	16	,	,	PUNCT
sc-1145	601	17	“	"	PUNCT
sc-1145	601	18	casebased	casebase	VERB
sc-1145	601	19	planning	planning	NOUN
sc-1145	601	20	,	,	PUNCT
sc-1145	601	21	”	"	PUNCT
sc-1145	601	22	the	the	DET
sc-1145	601	23	knowledge	knowledge	PROPN
sc-1145	601	24	engineering	engineering	PROPN
sc-1145	601	25	review	review	PROPN
sc-1145	601	26	,	,	PUNCT
sc-1145	601	27	vol	vol	NOUN
sc-1145	601	28	.	.	PROPN
sc-1145	601	29	20	20	NUM
sc-1145	601	30	,	,	PUNCT
sc-1145	601	31	no	no	INTJ
sc-1145	601	32	.	.	NOUN
sc-1145	601	33	3	3	NUM
sc-1145	601	34	,	,	PUNCT
sc-1145	601	35	pp	pp	ADJ
sc-1145	601	36	.	.	PUNCT
sc-1145	602	1	283–287	283–287	NUM
sc-1145	602	2	,	,	PUNCT
sc-1145	602	3	2005	2005	NUM
sc-1145	602	4	.	.	PUNCT
sc-1145	603	1	[	[	X
sc-1145	603	2	30	30	NUM
sc-1145	603	3	]	]	PUNCT
sc-1145	603	4	t.	t.	PROPN
sc-1145	603	5	l.	l.	PROPN
sc-1145	603	6	saaty	saaty	PROPN
sc-1145	603	7	,	,	PUNCT
sc-1145	603	8	“	"	PUNCT
sc-1145	603	9	decision	decision	NOUN
sc-1145	603	10	making	making	NOUN
sc-1145	603	11	with	with	ADP
sc-1145	603	12	the	the	DET
sc-1145	603	13	analytic	analytic	ADJ
sc-1145	603	14	hierarchy	hierarchy	NOUN
sc-1145	603	15	process	process	NOUN
sc-1145	603	16	,	,	PUNCT
sc-1145	603	17	”	"	PUNCT
sc-1145	603	18	international	international	ADJ
sc-1145	603	19	journal	journal	NOUN
sc-1145	603	20	of	of	ADP
sc-1145	603	21	services	service	NOUN
sc-1145	603	22	sciences	sciences	PROPN
sc-1145	603	23	,	,	PUNCT
sc-1145	603	24	vol	vol	NOUN
sc-1145	603	25	.	.	PROPN
sc-1145	603	26	1	1	NUM
sc-1145	603	27	,	,	PUNCT
sc-1145	603	28	no	no	INTJ
sc-1145	603	29	.	.	NOUN
sc-1145	603	30	1	1	NUM
sc-1145	603	31	,	,	PUNCT
sc-1145	603	32	pp	pp	ADJ
sc-1145	603	33	.	.	PUNCT
sc-1145	603	34	83–98	83–98	NUM
sc-1145	603	35	,	,	PUNCT
sc-1145	603	36	2008	2008	NUM
sc-1145	603	37	.	.	PUNCT
sc-1145	604	1	[	[	X
sc-1145	604	2	31	31	NUM
sc-1145	604	3	]	]	X
sc-1145	604	4	o.	o.	NOUN
sc-1145	604	5	ghorbanzadeh	ghorbanzadeh	PROPN
sc-1145	604	6	,	,	PUNCT
sc-1145	604	7	b.	b.	PROPN
sc-1145	604	8	feizizadeh	feizizadeh	PROPN
sc-1145	604	9	,	,	PUNCT
sc-1145	604	10	and	and	CCONJ
sc-1145	604	11	t.	t.	PROPN
sc-1145	604	12	blaschke	blaschke	PROPN
sc-1145	604	13	,	,	PUNCT
sc-1145	604	14	“	"	PUNCT
sc-1145	604	15	an	an	DET
sc-1145	604	16	interval	interval	NOUN
sc-1145	604	17	matrix	matrix	NOUN
sc-1145	604	18	method	method	NOUN
sc-1145	604	19	used	use	VERB
sc-1145	604	20	to	to	PART
sc-1145	604	21	optimize	optimize	VERB
sc-1145	604	22	the	the	DET
sc-1145	604	23	decision	decision	NOUN
sc-1145	604	24	matrix	matrix	NOUN
sc-1145	604	25	in	in	ADP
sc-1145	604	26	ahp	ahp	NOUN
sc-1145	604	27	technique	technique	NOUN
sc-1145	604	28	for	for	ADP
sc-1145	604	29	land	land	NOUN
sc-1145	604	30	subsidence	subsidence	NOUN
sc-1145	604	31	susceptibility	susceptibility	NOUN
sc-1145	604	32	mapping	mapping	NOUN
sc-1145	604	33	,	,	PUNCT
sc-1145	604	34	”	"	PUNCT
sc-1145	604	35	environmental	environmental	ADJ
sc-1145	604	36	earth	earth	NOUN
sc-1145	604	37	sciences	sciences	PROPN
sc-1145	604	38	,	,	PUNCT
sc-1145	604	39	vol	vol	NOUN
sc-1145	604	40	.	.	PROPN
sc-1145	605	1	77	77	NUM
sc-1145	605	2	,	,	PUNCT
sc-1145	606	1	no	no	INTJ
sc-1145	606	2	.	.	NOUN
sc-1145	606	3	16	16	NUM
sc-1145	606	4	,	,	PUNCT
sc-1145	606	5	p.	p.	NOUN
sc-1145	606	6	584	584	NUM
sc-1145	606	7	,	,	PUNCT
sc-1145	606	8	2018	2018	NUM
sc-1145	606	9	.	.	PUNCT
sc-1145	607	1	[	[	X
sc-1145	607	2	32	32	NUM
sc-1145	607	3	]	]	PUNCT
sc-1145	607	4	r.	r.	PROPN
sc-1145	607	5	karim	karim	PROPN
sc-1145	607	6	and	and	CCONJ
sc-1145	607	7	c.	c.	PROPN
sc-1145	607	8	karmaker	karmaker	PROPN
sc-1145	607	9	,	,	PUNCT
sc-1145	607	10	“	"	PUNCT
sc-1145	607	11	machine	machine	NOUN
sc-1145	607	12	selection	selection	NOUN
sc-1145	607	13	by	by	ADP
sc-1145	607	14	ahp	ahp	PROPN
sc-1145	607	15	and	and	CCONJ
sc-1145	607	16	topsis	topsis	NOUN
sc-1145	607	17	methods	method	NOUN
sc-1145	607	18	,	,	PUNCT
sc-1145	607	19	”	"	PUNCT
sc-1145	607	20	american	american	ADJ
sc-1145	607	21	journal	journal	PROPN
sc-1145	607	22	of	of	ADP
sc-1145	607	23	industrial	industrial	ADJ
sc-1145	607	24	engineering	engineering	NOUN
sc-1145	607	25	,	,	PUNCT
sc-1145	607	26	vol	vol	NOUN
sc-1145	607	27	.	.	PROPN
sc-1145	607	28	4	4	NUM
sc-1145	607	29	,	,	PUNCT
sc-1145	607	30	no	no	INTJ
sc-1145	607	31	.	.	NOUN
sc-1145	607	32	1	1	NUM
sc-1145	607	33	,	,	PUNCT
sc-1145	607	34	pp	pp	ADJ
sc-1145	607	35	.	.	PUNCT
sc-1145	608	1	7–13	7–13	NOUN
sc-1145	608	2	,	,	PUNCT
sc-1145	608	3	2016	2016	NUM
sc-1145	608	4	.	.	PUNCT
sc-1145	609	1	[	[	X
sc-1145	609	2	33	33	NUM
sc-1145	609	3	]	]	PUNCT
sc-1145	609	4	b.	b.	PROPN
sc-1145	609	5	li	li	PROPN
sc-1145	609	6	and	and	CCONJ
sc-1145	609	7	l.	l.	PROPN
sc-1145	609	8	han	han	PROPN
sc-1145	609	9	,	,	PUNCT
sc-1145	609	10	“	"	PUNCT
sc-1145	609	11	distance	distance	NOUN
sc-1145	609	12	weighted	weight	VERB
sc-1145	609	13	cosine	cosine	NOUN
sc-1145	609	14	similarity	similarity	NOUN
sc-1145	609	15	measure	measure	NOUN
sc-1145	609	16	for	for	ADP
sc-1145	609	17	text	text	NOUN
sc-1145	609	18	classification	classification	NOUN
sc-1145	609	19	,	,	PUNCT
sc-1145	609	20	”	"	PUNCT
sc-1145	609	21	2013	2013	NUM
sc-1145	609	22	.	.	PUNCT
sc-1145	610	1	[	[	X
sc-1145	610	2	34	34	NUM
sc-1145	610	3	]	]	X
sc-1145	610	4	c.	c.	PROPN
sc-1145	610	5	luo	luo	PROPN
sc-1145	610	6	,	,	PUNCT
sc-1145	610	7	j.	j.	PROPN
sc-1145	610	8	zhan	zhan	PROPN
sc-1145	610	9	,	,	PUNCT
sc-1145	610	10	x.	x.	PROPN
sc-1145	610	11	xue	xue	PROPN
sc-1145	610	12	,	,	PUNCT
sc-1145	610	13	l.	l.	PROPN
sc-1145	610	14	wang	wang	PROPN
sc-1145	610	15	,	,	PUNCT
sc-1145	610	16	r.	r.	PROPN
sc-1145	610	17	ren	ren	PROPN
sc-1145	610	18	,	,	PUNCT
sc-1145	610	19	and	and	CCONJ
sc-1145	610	20	q.	q.	PROPN
sc-1145	610	21	yang	yang	PROPN
sc-1145	610	22	,	,	PUNCT
sc-1145	610	23	“	"	PUNCT
sc-1145	610	24	cosine	cosine	ADJ
sc-1145	610	25	normalization	normalization	NOUN
sc-1145	610	26	:	:	PUNCT
sc-1145	610	27	using	use	VERB
sc-1145	610	28	cosine	cosine	NOUN
sc-1145	610	29	similarity	similarity	NOUN
sc-1145	610	30	instead	instead	ADV
sc-1145	610	31	of	of	ADP
sc-1145	610	32	dot	dot	NOUN
sc-1145	610	33	product	product	NOUN
sc-1145	610	34	in	in	ADP
sc-1145	610	35	neural	neural	ADJ
sc-1145	610	36	networks	network	NOUN
sc-1145	610	37	,	,	PUNCT
sc-1145	610	38	”	"	PUNCT
sc-1145	610	39	in	in	ADP
sc-1145	610	40	international	international	ADJ
sc-1145	610	41	conference	conference	NOUN
sc-1145	610	42	on	on	ADP
sc-1145	610	43	artificial	artificial	ADJ
sc-1145	610	44	neural	neural	ADJ
sc-1145	610	45	networks	network	NOUN
sc-1145	610	46	,	,	PUNCT
sc-1145	610	47	pp	pp	ADP
sc-1145	610	48	.	.	PUNCT
sc-1145	611	1	382–391	382–391	NUM
sc-1145	611	2	,	,	PUNCT
sc-1145	611	3	2018	2018	NUM
sc-1145	611	4	.	.	PUNCT
sc-1145	612	1	[	[	X
sc-1145	612	2	35	35	NUM
sc-1145	612	3	]	]	X
sc-1145	612	4	j.	j.	PROPN
sc-1145	612	5	kennedy	kennedy	PROPN
sc-1145	612	6	and	and	CCONJ
sc-1145	612	7	r.	r.	PROPN
sc-1145	612	8	eberhart	eberhart	PROPN
sc-1145	612	9	,	,	PUNCT
sc-1145	612	10	“	"	PUNCT
sc-1145	612	11	particle	particle	NOUN
sc-1145	612	12	swarm	swarm	NOUN
sc-1145	612	13	optimization	optimization	NOUN
sc-1145	612	14	,	,	PUNCT
sc-1145	612	15	”	"	PUNCT
sc-1145	612	16	in	in	ADP
sc-1145	612	17	proceedings	proceeding	NOUN
sc-1145	612	18	of	of	ADP
sc-1145	612	19	icnn’95	icnn’95	PROPN
sc-1145	612	20	international	international	ADJ
sc-1145	612	21	conference	conference	NOUN
sc-1145	612	22	on	on	ADP
sc-1145	612	23	neural	neural	ADJ
sc-1145	612	24	networks	network	NOUN
sc-1145	612	25	,	,	PUNCT
sc-1145	612	26	vol	vol	NOUN
sc-1145	612	27	.	.	PROPN
sc-1145	612	28	4	4	NUM
sc-1145	612	29	,	,	PUNCT
sc-1145	612	30	pp	pp	ADJ
sc-1145	612	31	.	.	PUNCT
sc-1145	613	1	1942–1948	1942–1948	NUM
sc-1145	613	2	,	,	PUNCT
sc-1145	613	3	ieee	ieee	NOUN
sc-1145	613	4	.	.	PUNCT
sc-1145	614	1	[	[	X
sc-1145	614	2	36	36	NUM
sc-1145	614	3	]	]	PUNCT
sc-1145	614	4	m.	m.	NOUN
sc-1145	614	5	n.	n.	PROPN
sc-1145	614	6	alam	alam	PROPN
sc-1145	614	7	,	,	PUNCT
sc-1145	614	8	“	"	PUNCT
sc-1145	614	9	particle	particle	NOUN
sc-1145	614	10	swarm	swarm	NOUN
sc-1145	614	11	optimization	optimization	NOUN
sc-1145	614	12	:	:	PUNCT
sc-1145	614	13	algorithm	algorithm	NOUN
sc-1145	614	14	and	and	CCONJ
sc-1145	614	15	its	its	PRON
sc-1145	614	16	codes	code	NOUN
sc-1145	614	17	in	in	ADP
sc-1145	614	18	matlab	matlab	PROPN
sc-1145	614	19	,	,	PUNCT
sc-1145	614	20	”	"	PUNCT
sc-1145	614	21	2016	2016	NUM
sc-1145	614	22	.	.	PUNCT
sc-1145	615	1	[	[	X
sc-1145	615	2	37	37	NUM
sc-1145	615	3	]	]	PUNCT
sc-1145	615	4	m.	m.	NOUN
sc-1145	615	5	n.	n.	PROPN
sc-1145	615	6	alam	alam	PROPN
sc-1145	615	7	,	,	PUNCT
sc-1145	615	8	b.	b.	PROPN
sc-1145	615	9	das	das	PROPN
sc-1145	615	10	,	,	PUNCT
sc-1145	615	11	and	and	CCONJ
sc-1145	615	12	v.	v.	ADP
sc-1145	615	13	pant	pant	NOUN
sc-1145	615	14	,	,	PUNCT
sc-1145	615	15	“	"	PUNCT
sc-1145	615	16	a	a	DET
sc-1145	615	17	comparative	comparative	ADJ
sc-1145	615	18	study	study	NOUN
sc-1145	615	19	of	of	ADP
sc-1145	615	20	metaheuristic	metaheuristic	ADJ
sc-1145	615	21	optimization	optimization	NOUN
sc-1145	615	22	approaches	approach	NOUN
sc-1145	615	23	for	for	ADP
sc-1145	615	24	directional	directional	ADJ
sc-1145	615	25	overcurrent	overcurrent	NOUN
sc-1145	615	26	relays	relay	VERB
sc-1145	615	27	coordination	coordination	NOUN
sc-1145	615	28	,	,	PUNCT
sc-1145	615	29	”	"	PUNCT
sc-1145	615	30	electric	electric	ADJ
sc-1145	615	31	power	power	NOUN
sc-1145	615	32	systems	system	NOUN
sc-1145	615	33	research	research	NOUN
sc-1145	615	34	,	,	PUNCT
sc-1145	615	35	vol	vol	NOUN
sc-1145	615	36	.	.	PROPN
sc-1145	615	37	128	128	NUM
sc-1145	615	38	,	,	PUNCT
sc-1145	615	39	pp	pp	ADJ
sc-1145	615	40	.	.	PUNCT
sc-1145	616	1	39–52	39–52	NUM
sc-1145	616	2	,	,	PUNCT
sc-1145	616	3	nov	nov	PROPN
sc-1145	616	4	2015	2015	NUM
sc-1145	616	5	.	.	PUNCT
sc-1145	617	1	[	[	X
sc-1145	617	2	38	38	NUM
sc-1145	617	3	]	]	PUNCT
sc-1145	617	4	j.	j.	PROPN
sc-1145	617	5	han	han	PROPN
sc-1145	617	6	,	,	PUNCT
sc-1145	617	7	m.	m.	NOUN
sc-1145	617	8	kamber	kamber	PROPN
sc-1145	617	9	,	,	PUNCT
sc-1145	617	10	and	and	CCONJ
sc-1145	617	11	j.	j.	PROPN
sc-1145	617	12	pei	pei	PROPN
sc-1145	617	13	,	,	PUNCT
sc-1145	617	14	data	data	NOUN
sc-1145	617	15	mining	mining	NOUN
sc-1145	617	16	:	:	PUNCT
sc-1145	617	17	concepts	concept	NOUN
sc-1145	617	18	and	and	CCONJ
sc-1145	617	19	techniques	technique	NOUN
sc-1145	617	20	.	.	PUNCT
sc-1145	618	1	elsevier	elsevier	PROPN
sc-1145	618	2	science	science	PROPN
sc-1145	618	3	,	,	PUNCT
sc-1145	618	4	2011	2011	NUM
sc-1145	618	5	.	.	PUNCT
sc-1145	619	1	[	[	X
sc-1145	619	2	39	39	NUM
sc-1145	619	3	]	]	PUNCT
sc-1145	619	4	s.	s.	PROPN
sc-1145	619	5	zhang	zhang	PROPN
sc-1145	619	6	,	,	PUNCT
sc-1145	619	7	d.	d.	PROPN
sc-1145	619	8	cheng	cheng	PROPN
sc-1145	619	9	,	,	PUNCT
sc-1145	619	10	z.	z.	PROPN
sc-1145	619	11	deng	deng	PROPN
sc-1145	619	12	,	,	PUNCT
sc-1145	619	13	m.	m.	NOUN
sc-1145	619	14	zong	zong	PROPN
sc-1145	619	15	,	,	PUNCT
sc-1145	619	16	and	and	CCONJ
sc-1145	619	17	x.	x.	PROPN
sc-1145	619	18	deng	deng	PROPN
sc-1145	619	19	,	,	PUNCT
sc-1145	619	20	“	"	PUNCT
sc-1145	619	21	a	a	DET
sc-1145	619	22	novel	novel	ADJ
sc-1145	619	23	knn	knn	NOUN
sc-1145	619	24	algorithm	algorithm	PROPN
sc-1145	619	25	with	with	ADP
sc-1145	619	26	data	data	NOUN
sc-1145	619	27	-	-	PUNCT
sc-1145	619	28	driven	drive	VERB
sc-1145	619	29	k	k	PROPN
sc-1145	619	30	parameter	parameter	PROPN
sc-1145	619	31	computation	computation	NOUN
sc-1145	619	32	,	,	PUNCT
sc-1145	619	33	”	"	PUNCT
sc-1145	619	34	pattern	pattern	NOUN
sc-1145	619	35	recognition	recognition	NOUN
sc-1145	619	36	letters	letter	NOUN
sc-1145	619	37	,	,	PUNCT
sc-1145	619	38	vol	vol	NOUN
sc-1145	619	39	.	.	PROPN
sc-1145	619	40	109	109	NUM
sc-1145	619	41	,	,	PUNCT
sc-1145	619	42	pp	pp	ADJ
sc-1145	619	43	.	.	PUNCT
sc-1145	620	1	44–54	44–54	NUM
sc-1145	620	2	,	,	PUNCT
sc-1145	620	3	2018	2018	NUM
sc-1145	620	4	.	.	PUNCT
sc-1145	621	1	[	[	X
sc-1145	621	2	40	40	NUM
sc-1145	621	3	]	]	PUNCT
sc-1145	621	4	p.	p.	NOUN
sc-1145	621	5	goel	goel	PROPN
sc-1145	621	6	and	and	CCONJ
sc-1145	621	7	r.	r.	PROPN
sc-1145	621	8	thareja	thareja	PROPN
sc-1145	621	9	,	,	PUNCT
sc-1145	621	10	“	"	PUNCT
sc-1145	621	11	analysis	analysis	NOUN
sc-1145	621	12	of	of	ADP
sc-1145	621	13	various	various	ADJ
sc-1145	621	14	data	datum	NOUN
sc-1145	621	15	mining	mining	NOUN
sc-1145	621	16	techniques	technique	NOUN
sc-1145	621	17	using	use	VERB
sc-1145	621	18	novel	novel	ADJ
sc-1145	621	19	ratings	rating	NOUN
sc-1145	621	20	prediction	prediction	NOUN
sc-1145	621	21	,	,	PUNCT
sc-1145	621	22	”	"	PUNCT
sc-1145	621	23	iars’international	iars’international	ADJ
sc-1145	621	24	research	research	NOUN
sc-1145	621	25	journal	journal	NOUN
sc-1145	621	26	,	,	PUNCT
sc-1145	621	27	vol	vol	NOUN
sc-1145	621	28	.	.	PROPN
sc-1145	622	1	7	7	NUM
sc-1145	622	2	,	,	PUNCT
sc-1145	622	3	no	no	INTJ
sc-1145	622	4	.	.	NOUN
sc-1145	622	5	2	2	NUM
sc-1145	622	6	,	,	PUNCT
sc-1145	622	7	2017	2017	NUM
sc-1145	622	8	.	.	PUNCT
sc-1145	623	1	18	18	NUM
sc-1145	623	2	naomi	naomi	PROPN
sc-1145	623	3	dassi	dassi	PROPN
sc-1145	623	4	tchomté	tchomté	PROPN
sc-1145	623	5	et	et	PROPN
sc-1145	623	6	al	al	PROPN
sc-1145	623	7	.	.	PUNCT
sc-1145	624	1	eai	eai	PROPN
sc-1145	624	2	endorsed	endorse	VERB
sc-1145	624	3	transactions	transaction	NOUN
sc-1145	624	4	on	on	ADP
sc-1145	624	5	smart	smart	ADJ
sc-1145	624	6	cities	city	NOUN
sc-1145	624	7	06	06	NUM
sc-1145	624	8	2018	2018	NUM
sc-1145	624	9	02	02	NUM
sc-1145	624	10	2020	2020	NUM
sc-1145	624	11	|	|	ADV
sc-1145	624	12	volume	volume	NOUN
sc-1145	624	13	4	4	NUM
sc-1145	624	14	|	|	NOUN
sc-1145	624	15	issue	issue	NOUN
sc-1145	624	16	9	9	NUM
sc-1145	624	17	|	|	ADV
sc-1145	624	18	e4	e4	PROPN
sc-1145	625	1	[	[	X
sc-1145	625	2	41	41	NUM
sc-1145	625	3	]	]	PUNCT
sc-1145	625	4	j.	j.	PROPN
sc-1145	625	5	macqueen	macqueen	PROPN
sc-1145	625	6	,	,	PUNCT
sc-1145	625	7	“	"	PUNCT
sc-1145	625	8	some	some	DET
sc-1145	625	9	methods	method	NOUN
sc-1145	625	10	for	for	ADP
sc-1145	625	11	classification	classification	NOUN
sc-1145	625	12	and	and	CCONJ
sc-1145	625	13	analysis	analysis	NOUN
sc-1145	625	14	of	of	ADP
sc-1145	625	15	multivariate	multivariate	NOUN
sc-1145	625	16	observations	observation	NOUN
sc-1145	625	17	,	,	PUNCT
sc-1145	625	18	”	"	PUNCT
sc-1145	625	19	in	in	ADP
sc-1145	625	20	5th	5th	ADJ
sc-1145	625	21	berkeley	berkeley	PROPN
sc-1145	625	22	symposium	symposium	NOUN
sc-1145	625	23	on	on	ADP
sc-1145	625	24	mathematical	mathematical	ADJ
sc-1145	625	25	statistics	statistic	NOUN
sc-1145	625	26	and	and	CCONJ
sc-1145	625	27	probabilities	probability	NOUN
sc-1145	625	28	,	,	PUNCT
sc-1145	625	29	p.	p.	PROPN
sc-1145	625	30	281—297	281—297	PROPN
sc-1145	625	31	,	,	PUNCT
sc-1145	625	32	1967	1967	NUM
sc-1145	625	33	.	.	PUNCT
sc-1145	626	1	[	[	X
sc-1145	626	2	42	42	NUM
sc-1145	626	3	]	]	PUNCT
sc-1145	626	4	m.	m.	NOUN
sc-1145	626	5	sarstedt	sarstedt	NOUN
sc-1145	626	6	and	and	CCONJ
sc-1145	626	7	e.	e.	PROPN
sc-1145	626	8	mooi	mooi	PROPN
sc-1145	626	9	,	,	PUNCT
sc-1145	626	10	“	"	PUNCT
sc-1145	626	11	cluster	cluster	NOUN
sc-1145	626	12	analysis	analysis	NOUN
sc-1145	626	13	,	,	PUNCT
sc-1145	626	14	”	"	PUNCT
sc-1145	626	15	in	in	ADP
sc-1145	626	16	a	a	DET
sc-1145	626	17	concise	concise	ADJ
sc-1145	626	18	guide	guide	NOUN
sc-1145	626	19	to	to	ADP
sc-1145	626	20	market	market	NOUN
sc-1145	626	21	research	research	NOUN
sc-1145	626	22	,	,	PUNCT
sc-1145	626	23	pp	pp	ADJ
sc-1145	626	24	.	.	PUNCT
sc-1145	627	1	301–354	301–354	NUM
sc-1145	627	2	,	,	PUNCT
sc-1145	627	3	2019	2019	NUM
sc-1145	627	4	.	.	PUNCT
sc-1145	628	1	[	[	X
sc-1145	628	2	43	43	NUM
sc-1145	628	3	]	]	X
sc-1145	628	4	c.	c.	NOUN
sc-1145	628	5	cortes	corte	VERB
sc-1145	628	6	and	and	CCONJ
sc-1145	628	7	v.	v.	ADP
sc-1145	628	8	vapnik	vapnik	X
sc-1145	628	9	,	,	PUNCT
sc-1145	628	10	“	"	PUNCT
sc-1145	628	11	support	support	NOUN
sc-1145	628	12	-	-	PUNCT
sc-1145	628	13	vector	vector	NOUN
sc-1145	628	14	networks	network	NOUN
sc-1145	628	15	,	,	PUNCT
sc-1145	628	16	”	"	PUNCT
sc-1145	628	17	machine	machine	NOUN
sc-1145	628	18	learning	learning	NOUN
sc-1145	628	19	,	,	PUNCT
sc-1145	628	20	vol	vol	NOUN
sc-1145	628	21	.	.	PROPN
sc-1145	629	1	20	20	NUM
sc-1145	629	2	,	,	PUNCT
sc-1145	629	3	no	no	INTJ
sc-1145	629	4	.	.	NOUN
sc-1145	629	5	3	3	NUM
sc-1145	629	6	,	,	PUNCT
sc-1145	629	7	pp	pp	ADJ
sc-1145	629	8	.	.	PUNCT
sc-1145	630	1	273–297	273–297	NUM
sc-1145	630	2	,	,	PUNCT
sc-1145	630	3	1995	1995	NUM
sc-1145	630	4	.	.	PUNCT
sc-1145	631	1	[	[	X
sc-1145	631	2	44	44	NUM
sc-1145	631	3	]	]	PUNCT
sc-1145	631	4	d.	d.	PROPN
sc-1145	631	5	basak	basak	PROPN
sc-1145	631	6	,	,	PUNCT
sc-1145	631	7	s.	s.	PROPN
sc-1145	631	8	pal	pal	PROPN
sc-1145	631	9	,	,	PUNCT
sc-1145	631	10	and	and	CCONJ
sc-1145	631	11	d.	d.	PROPN
sc-1145	631	12	c.	c.	PROPN
sc-1145	631	13	patranabis	patranabis	PROPN
sc-1145	631	14	,	,	PUNCT
sc-1145	631	15	“	"	PUNCT
sc-1145	631	16	support	support	NOUN
sc-1145	631	17	vector	vector	NOUN
sc-1145	631	18	regression	regression	NOUN
sc-1145	631	19	,	,	PUNCT
sc-1145	631	20	”	"	PUNCT
sc-1145	631	21	2007	2007	NUM
sc-1145	631	22	.	.	PUNCT
sc-1145	632	1	[	[	X
sc-1145	632	2	45	45	NUM
sc-1145	632	3	]	]	X
sc-1145	632	4	h.	h.	PROPN
sc-1145	632	5	drucker	drucker	PROPN
sc-1145	632	6	,	,	PUNCT
sc-1145	632	7	c.	c.	PROPN
sc-1145	632	8	j.	j.	PROPN
sc-1145	632	9	burges	burges	PROPN
sc-1145	632	10	,	,	PUNCT
sc-1145	632	11	l.	l.	PROPN
sc-1145	632	12	kaufman	kaufman	PROPN
sc-1145	632	13	,	,	PUNCT
sc-1145	632	14	a.	a.	PROPN
sc-1145	632	15	j.	j.	PROPN
sc-1145	632	16	smola	smola	PROPN
sc-1145	632	17	,	,	PUNCT
sc-1145	632	18	and	and	CCONJ
sc-1145	632	19	v.	v.	ADP
sc-1145	632	20	vapnik	vapnik	X
sc-1145	632	21	,	,	PUNCT
sc-1145	632	22	“	"	PUNCT
sc-1145	632	23	support	support	NOUN
sc-1145	632	24	vector	vector	NOUN
sc-1145	632	25	regression	regression	NOUN
sc-1145	632	26	machines	machine	NOUN
sc-1145	632	27	,	,	PUNCT
sc-1145	632	28	”	"	PUNCT
sc-1145	632	29	in	in	ADP
sc-1145	632	30	advances	advance	NOUN
sc-1145	632	31	in	in	ADP
sc-1145	632	32	neural	neural	ADJ
sc-1145	632	33	information	information	NOUN
sc-1145	632	34	processing	processing	NOUN
sc-1145	632	35	systems	system	NOUN
sc-1145	632	36	,	,	PUNCT
sc-1145	632	37	pp	pp	ADJ
sc-1145	632	38	.	.	PUNCT
sc-1145	633	1	155–161	155–161	NUM
sc-1145	633	2	,	,	PUNCT
sc-1145	633	3	1997	1997	NUM
sc-1145	633	4	.	.	PUNCT
sc-1145	634	1	[	[	X
sc-1145	634	2	46	46	NUM
sc-1145	634	3	]	]	PUNCT
sc-1145	634	4	a.	a.	NOUN
sc-1145	634	5	j.	j.	PROPN
sc-1145	634	6	smola	smola	PROPN
sc-1145	634	7	and	and	CCONJ
sc-1145	634	8	b.	b.	PROPN
sc-1145	634	9	schölkopf	schölkopf	PROPN
sc-1145	634	10	,	,	PUNCT
sc-1145	634	11	“	"	PUNCT
sc-1145	634	12	a	a	DET
sc-1145	634	13	tutorial	tutorial	NOUN
sc-1145	634	14	on	on	ADP
sc-1145	634	15	support	support	NOUN
sc-1145	634	16	vector	vector	NOUN
sc-1145	634	17	regression	regression	NOUN
sc-1145	634	18	,	,	PUNCT
sc-1145	634	19	”	"	PUNCT
sc-1145	634	20	statistics	statistic	NOUN
sc-1145	634	21	and	and	CCONJ
sc-1145	634	22	computing	computing	NOUN
sc-1145	634	23	,	,	PUNCT
sc-1145	634	24	vol	vol	NOUN
sc-1145	634	25	.	.	PROPN
sc-1145	634	26	14	14	NUM
sc-1145	634	27	,	,	PUNCT
sc-1145	634	28	no	no	INTJ
sc-1145	634	29	.	.	NOUN
sc-1145	634	30	3	3	NUM
sc-1145	634	31	,	,	PUNCT
sc-1145	634	32	pp	pp	ADJ
sc-1145	634	33	.	.	PUNCT
sc-1145	635	1	199–222	199–222	NUM
sc-1145	635	2	,	,	PUNCT
sc-1145	635	3	2004	2004	NUM
sc-1145	635	4	.	.	PUNCT
sc-1145	636	1	[	[	X
sc-1145	636	2	47	47	NUM
sc-1145	636	3	]	]	X
sc-1145	636	4	n.	n.	PROPN
sc-1145	636	5	kwon	kwon	PROPN
sc-1145	636	6	,	,	PUNCT
sc-1145	636	7	j.	j.	PROPN
sc-1145	636	8	lee	lee	PROPN
sc-1145	636	9	,	,	PUNCT
sc-1145	636	10	m.	m.	NOUN
sc-1145	636	11	park	park	PROPN
sc-1145	636	12	,	,	PUNCT
sc-1145	636	13	i.	i.	PROPN
sc-1145	636	14	yoon	yoon	PROPN
sc-1145	636	15	,	,	PUNCT
sc-1145	636	16	and	and	CCONJ
sc-1145	636	17	y.	y.	PROPN
sc-1145	636	18	ahn	ahn	PROPN
sc-1145	636	19	,	,	PUNCT
sc-1145	636	20	“	"	PUNCT
sc-1145	636	21	performance	performance	NOUN
sc-1145	636	22	evaluation	evaluation	NOUN
sc-1145	636	23	of	of	ADP
sc-1145	636	24	distance	distance	NOUN
sc-1145	636	25	measurement	measurement	NOUN
sc-1145	636	26	methods	method	NOUN
sc-1145	636	27	for	for	ADP
sc-1145	636	28	construction	construction	NOUN
sc-1145	636	29	noise	noise	NOUN
sc-1145	636	30	prediction	prediction	NOUN
sc-1145	636	31	using	use	VERB
sc-1145	636	32	casebased	casebase	VERB
sc-1145	636	33	reasoning	reasoning	NOUN
sc-1145	636	34	,	,	PUNCT
sc-1145	636	35	”	"	PUNCT
sc-1145	636	36	sustainability	sustainability	NOUN
sc-1145	636	37	(	(	PUNCT
sc-1145	636	38	switzerland	switzerland	PROPN
sc-1145	636	39	)	)	PUNCT
sc-1145	636	40	,	,	PUNCT
sc-1145	636	41	vol	vol	NOUN
sc-1145	636	42	.	.	PROPN
sc-1145	636	43	11	11	NUM
sc-1145	636	44	,	,	PUNCT
sc-1145	636	45	feb	feb	NOUN
sc-1145	636	46	2019	2019	NUM
sc-1145	636	47	.	.	PUNCT
sc-1145	637	1	[	[	X
sc-1145	637	2	48	48	NUM
sc-1145	637	3	]	]	PUNCT
sc-1145	637	4	t.	t.	PROPN
sc-1145	637	5	w.	w.	PROPN
sc-1145	637	6	liao	liao	PROPN
sc-1145	637	7	,	,	PUNCT
sc-1145	637	8	z.	z.	PROPN
sc-1145	637	9	zhang	zhang	PROPN
sc-1145	637	10	,	,	PUNCT
sc-1145	637	11	and	and	CCONJ
sc-1145	637	12	c.	c.	PROPN
sc-1145	637	13	r.	r.	PROPN
sc-1145	637	14	mount	mount	PROPN
sc-1145	637	15	,	,	PUNCT
sc-1145	637	16	“	"	PUNCT
sc-1145	637	17	similarity	similarity	NOUN
sc-1145	637	18	measures	measure	NOUN
sc-1145	637	19	for	for	ADP
sc-1145	637	20	retrieval	retrieval	NOUN
sc-1145	637	21	in	in	ADP
sc-1145	637	22	case	case	NOUN
sc-1145	637	23	-	-	PUNCT
sc-1145	637	24	based	base	VERB
sc-1145	637	25	reasoning	reasoning	NOUN
sc-1145	637	26	systems	system	NOUN
sc-1145	637	27	,	,	PUNCT
sc-1145	637	28	”	"	PUNCT
sc-1145	637	29	applied	apply	VERB
sc-1145	637	30	artificial	artificial	ADJ
sc-1145	637	31	intelligence	intelligence	NOUN
sc-1145	637	32	,	,	PUNCT
sc-1145	637	33	vol	vol	NOUN
sc-1145	637	34	.	.	PROPN
sc-1145	638	1	12	12	NUM
sc-1145	638	2	,	,	PUNCT
sc-1145	638	3	no	no	INTJ
sc-1145	638	4	.	.	NOUN
sc-1145	638	5	4	4	NUM
sc-1145	638	6	,	,	PUNCT
sc-1145	638	7	pp	pp	ADJ
sc-1145	638	8	.	.	PUNCT
sc-1145	639	1	267–288	267–288	NUM
sc-1145	639	2	,	,	PUNCT
sc-1145	639	3	1998	1998	NUM
sc-1145	639	4	.	.	PUNCT
sc-1145	640	1	[	[	X
sc-1145	640	2	49	49	NUM
sc-1145	640	3	]	]	PUNCT
sc-1145	640	4	h.	h.	PROPN
sc-1145	640	5	núñez	núñez	PROPN
sc-1145	640	6	,	,	PUNCT
sc-1145	640	7	m.	m.	NOUN
sc-1145	640	8	sànchez	sànchez	PROPN
sc-1145	640	9	-	-	PUNCT
sc-1145	640	10	marrè	marrè	NOUN
sc-1145	640	11	,	,	PUNCT
sc-1145	640	12	u.	u.	PROPN
sc-1145	640	13	cortés	cortés	PROPN
sc-1145	640	14	,	,	PUNCT
sc-1145	640	15	j.	j.	PROPN
sc-1145	640	16	comas	comas	PROPN
sc-1145	640	17	,	,	PUNCT
sc-1145	640	18	m.	m.	NOUN
sc-1145	640	19	martínez	martínez	PROPN
sc-1145	640	20	,	,	PUNCT
sc-1145	640	21	i.	i.	PROPN
sc-1145	640	22	rodríguez	rodríguez	PROPN
sc-1145	640	23	-	-	PUNCT
sc-1145	640	24	roda	roda	PROPN
sc-1145	640	25	,	,	PUNCT
sc-1145	640	26	and	and	CCONJ
sc-1145	640	27	m.	m.	PROPN
sc-1145	640	28	poch	poch	PROPN
sc-1145	640	29	,	,	PUNCT
sc-1145	640	30	“	"	PUNCT
sc-1145	640	31	a	a	DET
sc-1145	640	32	comparative	comparative	ADJ
sc-1145	640	33	study	study	NOUN
sc-1145	640	34	on	on	ADP
sc-1145	640	35	the	the	DET
sc-1145	640	36	use	use	NOUN
sc-1145	640	37	of	of	ADP
sc-1145	640	38	similarity	similarity	NOUN
sc-1145	640	39	measures	measure	NOUN
sc-1145	640	40	in	in	ADP
sc-1145	640	41	case	case	NOUN
sc-1145	640	42	-	-	PUNCT
sc-1145	640	43	based	base	VERB
sc-1145	640	44	reasoning	reasoning	NOUN
sc-1145	640	45	to	to	PART
sc-1145	640	46	improve	improve	VERB
sc-1145	640	47	the	the	DET
sc-1145	640	48	classification	classification	NOUN
sc-1145	640	49	of	of	ADP
sc-1145	640	50	environmental	environmental	ADJ
sc-1145	640	51	system	system	NOUN
sc-1145	640	52	situations	situation	NOUN
sc-1145	640	53	,	,	PUNCT
sc-1145	640	54	”	"	PUNCT
sc-1145	640	55	in	in	ADP
sc-1145	640	56	environmental	environmental	ADJ
sc-1145	640	57	modelling	modelling	NOUN
sc-1145	640	58	and	and	CCONJ
sc-1145	640	59	software	software	NOUN
sc-1145	640	60	,	,	PUNCT
sc-1145	640	61	vol	vol	NOUN
sc-1145	640	62	.	.	PROPN
sc-1145	640	63	19	19	NUM
sc-1145	640	64	,	,	PUNCT
sc-1145	640	65	pp	pp	ADJ
sc-1145	640	66	.	.	PUNCT
sc-1145	641	1	809–819	809–819	NUM
sc-1145	641	2	,	,	PUNCT
sc-1145	641	3	sep	sep	PROPN
sc-1145	641	4	2004	2004	NUM
sc-1145	641	5	.	.	PUNCT
sc-1145	642	1	[	[	X
sc-1145	642	2	50	50	NUM
sc-1145	642	3	]	]	PUNCT
sc-1145	642	4	nyiso	nyiso	NOUN
sc-1145	642	5	,	,	PUNCT
sc-1145	642	6	“	"	PUNCT
sc-1145	642	7	nyiso	nyiso	NOUN
sc-1145	642	8	electricity	electricity	NOUN
sc-1145	642	9	market	market	NOUN
sc-1145	642	10	data	datum	NOUN
sc-1145	642	11	.	.	PUNCT
sc-1145	642	12	”	"	PUNCT
sc-1145	643	1	http://www	http://www	PROPN
sc-1145	643	2	.	.	PROPN
sc-1145	643	3	nyiso.com/	nyiso.com/	PROPN
sc-1145	643	4	accessed	access	VERB
sc-1145	643	5	01	01	NUM
sc-1145	643	6	october	october	PROPN
sc-1145	643	7	2019	2019	NUM
sc-1145	643	8	,	,	PUNCT
sc-1145	643	9	2019	2019	NUM
sc-1145	643	10	.	.	PUNCT
sc-1145	644	1	19	19	NUM
sc-1145	644	2	a	a	DET
sc-1145	644	3	case	case	NOUN
sc-1145	644	4	based	base	VERB
sc-1145	644	5	reasoning	reasoning	NOUN
sc-1145	644	6	coupling	couple	VERB
sc-1145	644	7	multi	multi	ADJ
sc-1145	644	8	-	-	ADJ
sc-1145	644	9	criteria	criterion	NOUN
sc-1145	644	10	decision	decision	NOUN
sc-1145	644	11	making	make	VERB
sc-1145	644	12	with	with	ADP
sc-1145	644	13	learning	learning	NOUN
sc-1145	644	14	and	and	CCONJ
sc-1145	644	15	optimization	optimization	NOUN
sc-1145	644	16	intelligences	intelligence	NOUN
sc-1145	644	17	:	:	PUNCT
sc-1145	644	18	application	application	NOUN
sc-1145	644	19	to	to	ADP
sc-1145	644	20	energy	energy	NOUN
sc-1145	644	21	consumption	consumption	NOUN
sc-1145	644	22	eai	eai	NOUN
sc-1145	644	23	endorsed	endorse	VERB
sc-1145	644	24	transactions	transaction	NOUN
sc-1145	644	25	on	on	ADP
sc-1145	644	26	smart	smart	ADJ
sc-1145	644	27	cities	city	NOUN
sc-1145	644	28	06	06	NUM
sc-1145	644	29	2018	2018	NUM
sc-1145	644	30	02	02	NUM
sc-1145	644	31	2020	2020	NUM
sc-1145	644	32	|	|	ADV
sc-1145	644	33	volume	volume	NOUN
sc-1145	644	34	4	4	NUM
sc-1145	644	35	|	|	NOUN
sc-1145	644	36	issue	issue	NOUN
sc-1145	644	37	9	9	NUM
sc-1145	645	1	|	|	ADV
sc-1145	645	2	e4	e4	PROPN
sc-1145	645	3	http://www.nyiso.com/	http://www.nyiso.com/	NOUN
sc-1145	645	4	http://www.nyiso.com/	http://www.nyiso.com/	NOUN
sc-1145	645	5	1	1	NUM
sc-1145	645	6	introduction	introduction	NOUN
sc-1145	645	7	2	2	NUM
sc-1145	645	8	related	relate	VERB
sc-1145	645	9	works	work	NOUN
sc-1145	645	10	3	3	NUM
sc-1145	645	11	background	background	NOUN
sc-1145	645	12	3.1	3.1	NUM
sc-1145	645	13	case	case	NOUN
sc-1145	645	14	-	-	PUNCT
sc-1145	645	15	based	base	VERB
sc-1145	645	16	reasoning	reasoning	NOUN
sc-1145	645	17	retrieve	retrieve	NOUN
sc-1145	645	18	reuse	reuse	NOUN
sc-1145	645	19	revise	revise	NOUN
sc-1145	645	20	retain	retain	VERB
sc-1145	645	21	3.2	3.2	NUM
sc-1145	645	22	analytic	analytic	ADJ
sc-1145	645	23	hierarchy	hierarchy	NOUN
sc-1145	645	24	process	process	NOUN
sc-1145	645	25	3.3	3.3	NUM
sc-1145	645	26	cosine	cosine	NOUN
sc-1145	645	27	similarity	similarity	NOUN
sc-1145	645	28	model	model	NOUN
sc-1145	645	29	3.4	3.4	NUM
sc-1145	645	30	particle	particle	NOUN
sc-1145	645	31	swarm	swarm	NOUN
sc-1145	645	32	optimization	optimization	NOUN
sc-1145	645	33	3.5	3.5	NUM
sc-1145	645	34	k	k	ADV
sc-1145	645	35	-	-	PUNCT
sc-1145	645	36	nearest	near	ADJ
sc-1145	645	37	neighbors	neighbor	NOUN
sc-1145	645	38	3.6	3.6	NUM
sc-1145	645	39	k	k	NOUN
sc-1145	645	40	-	-	PUNCT
sc-1145	645	41	means	means	NOUN
sc-1145	645	42	clustering	cluster	VERB
sc-1145	645	43	3.7	3.7	NUM
sc-1145	645	44	support	support	NOUN
sc-1145	645	45	vector	vector	NOUN
sc-1145	645	46	machine	machine	NOUN
sc-1145	645	47	3.8	3.8	NUM
sc-1145	645	48	regression	regression	NOUN
sc-1145	645	49	4	4	NUM
sc-1145	645	50	model	model	NOUN
sc-1145	645	51	development	development	NOUN
sc-1145	645	52	4.1	4.1	NUM
sc-1145	645	53	retrieve	retrieve	NOUN
sc-1145	645	54	4.2	4.2	NUM
sc-1145	645	55	reuse	reuse	NOUN
sc-1145	645	56	4.3	4.3	NUM
sc-1145	645	57	revise	revise	NOUN
sc-1145	645	58	5	5	NUM
sc-1145	645	59	tests	test	NOUN
sc-1145	645	60	and	and	CCONJ
sc-1145	645	61	validation	validation	NOUN
sc-1145	645	62	5.1	5.1	NUM
sc-1145	645	63	experiment	experiment	NOUN
sc-1145	645	64	design	design	NOUN
sc-1145	645	65	and	and	CCONJ
sc-1145	645	66	process	process	VERB
sc-1145	645	67	5.2	5.2	NUM
sc-1145	645	68	collecting	collecting	NOUN
sc-1145	645	69	of	of	ADP
sc-1145	645	70	data	datum	NOUN
sc-1145	645	71	5.3	5.3	NUM
sc-1145	645	72	application	application	NOUN
sc-1145	645	73	of	of	ADP
sc-1145	645	74	cable	cable	NOUN
sc-1145	645	75	reuse	reuse	NOUN
sc-1145	645	76	revise	revise	NOUN
sc-1145	645	77	5.4	5.4	NUM
sc-1145	645	78	study	study	NOUN
sc-1145	645	79	of	of	ADP
sc-1145	645	80	k	k	PROPN
sc-1145	645	81	-	-	PUNCT
sc-1145	645	82	nn	nn	ADJ
sc-1145	645	83	and	and	CCONJ
sc-1145	645	84	pso	pso	NOUN
sc-1145	645	85	parameters	parameter	NOUN
sc-1145	645	86	on	on	ADP
sc-1145	645	87	the	the	DET
sc-1145	645	88	determination	determination	NOUN
sc-1145	645	89	of	of	ADP
sc-1145	645	90	solutions	solution	NOUN
sc-1145	645	91	5.5	5.5	NUM
sc-1145	645	92	discussions	discussion	NOUN
sc-1145	645	93	determination	determination	NOUN
sc-1145	645	94	of	of	ADP
sc-1145	645	95	similar	similar	ADJ
sc-1145	645	96	cases	case	NOUN
sc-1145	645	97	genericity	genericity	NOUN
sc-1145	645	98	association	association	NOUN
sc-1145	645	99	of	of	ADP
sc-1145	645	100	intelligences	intelligence	NOUN
sc-1145	645	101	performance	performance	VERB
sc-1145	645	102	6	6	NUM
sc-1145	645	103	conclusion	conclusion	NOUN
sc-1145	645	104	and	and	CCONJ
sc-1145	645	105	perspectives	perspective	NOUN