id	sid	tid	token	lemma	pos
bracis-28430	1	1	a	a	DET
bracis-28430	1	2	tool	tool	NOUN
bracis-28430	1	3	for	for	ADP
bracis-28430	1	4	 	 	SPACE
bracis-28430	1	5	measuring	measure	VERB
bracis-28430	1	6	energy	energy	NOUN
bracis-28430	1	7	consumption	consumption	NOUN
bracis-28430	1	8	in	in	ADP
bracis-28430	1	9	 	 	SPACE
bracis-28430	1	10	data	datum	NOUN
bracis-28430	1	11	stream	stream	NOUN
bracis-28430	1	12	mining	mining	NOUN
bracis-28430	1	13	|	|	NOUN
bracis-28430	1	14	springer	springer	NOUN
bracis-28430	1	15	nature	nature	NOUN
bracis-28430	1	16	link	link	PROPN
bracis-28430	1	17	(	(	PUNCT
bracis-28430	1	18	formerly	formerly	ADV
bracis-28430	1	19	springerlink	springerlink	NOUN
bracis-28430	1	20	)	)	PUNCT
bracis-28430	1	21	skip	skip	VERB
bracis-28430	1	22	to	to	ADP
bracis-28430	1	23	main	main	ADJ
bracis-28430	1	24	content	content	NOUN
bracis-28430	1	25	advertisement	advertisement	NOUN
bracis-28430	1	26	log	log	NOUN
bracis-28430	1	27	in	in	ADP
bracis-28430	1	28	menu	menu	NOUN
bracis-28430	1	29	find	find	VERB
bracis-28430	1	30	a	a	DET
bracis-28430	1	31	journal	journal	NOUN
bracis-28430	1	32	publish	publish	VERB
bracis-28430	1	33	with	with	ADP
bracis-28430	1	34	us	we	PRON
bracis-28430	1	35	track	track	VERB
bracis-28430	1	36	your	your	PRON
bracis-28430	1	37	research	research	NOUN
bracis-28430	1	38	search	search	NOUN
bracis-28430	1	39	cart	cart	NOUN
bracis-28430	1	40	home	home	NOUN
bracis-28430	1	41	intelligent	intelligent	ADJ
bracis-28430	1	42	systems	system	NOUN
bracis-28430	1	43	conference	conference	NOUN
bracis-28430	1	44	paper	paper	NOUN
bracis-28430	1	45	a	a	DET
bracis-28430	1	46	tool	tool	NOUN
bracis-28430	1	47	for	for	ADP
bracis-28430	1	48	 	 	SPACE
bracis-28430	1	49	measuring	measure	VERB
bracis-28430	1	50	energy	energy	NOUN
bracis-28430	1	51	consumption	consumption	NOUN
bracis-28430	1	52	in	in	ADP
bracis-28430	1	53	 	 	SPACE
bracis-28430	1	54	data	datum	NOUN
bracis-28430	1	55	stream	stream	NOUN
bracis-28430	1	56	mining	mining	NOUN
bracis-28430	1	57	conference	conference	NOUN
bracis-28430	1	58	paper	paper	NOUN
bracis-28430	1	59	first	first	ADV
bracis-28430	1	60	online	online	ADV
bracis-28430	1	61	:	:	PUNCT
bracis-28430	1	62	12	12	NUM
bracis-28430	1	63	october	october	NOUN
bracis-28430	1	64	2023	2023	NUM
bracis-28430	1	65	pp	pp	PROPN
bracis-28430	1	66	429–440	429–440	NUM
bracis-28430	1	67	cite	cite	VERB
bracis-28430	1	68	this	this	DET
bracis-28430	1	69	conference	conference	NOUN
bracis-28430	1	70	paper	paper	NOUN
bracis-28430	1	71	access	access	NOUN
bracis-28430	1	72	provided	provide	VERB
bracis-28430	1	73	by	by	ADP
bracis-28430	1	74	university	university	PROPN
bracis-28430	1	75	of	of	ADP
bracis-28430	1	76	notre	notre	PROPN
bracis-28430	1	77	dame	dame	PROPN
bracis-28430	1	78	hesburgh	hesburgh	PROPN
bracis-28430	1	79	library	library	PROPN
bracis-28430	1	80	download	download	PROPN
bracis-28430	1	81	book	book	NOUN
bracis-28430	1	82	pdf	pdf	PROPN
bracis-28430	1	83	download	download	NOUN
bracis-28430	1	84	book	book	NOUN
bracis-28430	1	85	epub	epub	PROPN
bracis-28430	1	86	intelligent	intelligent	ADJ
bracis-28430	1	87	systems	system	NOUN
bracis-28430	1	88	(	(	PUNCT
bracis-28430	1	89	bracis	bracis	NOUN
bracis-28430	1	90	2023	2023	NUM
bracis-28430	1	91	)	)	PUNCT
bracis-28430	1	92	a	a	DET
bracis-28430	1	93	tool	tool	NOUN
bracis-28430	1	94	for	for	ADP
bracis-28430	1	95	 	 	SPACE
bracis-28430	1	96	measuring	measure	VERB
bracis-28430	1	97	energy	energy	NOUN
bracis-28430	1	98	consumption	consumption	NOUN
bracis-28430	1	99	in	in	ADP
bracis-28430	1	100	 	 	SPACE
bracis-28430	1	101	data	datum	NOUN
bracis-28430	1	102	stream	stream	NOUN
bracis-28430	1	103	mining	mining	NOUN
bracis-28430	1	104	download	download	NOUN
bracis-28430	1	105	book	book	NOUN
bracis-28430	1	106	pdf	pdf	PROPN
bracis-28430	1	107	download	download	NOUN
bracis-28430	1	108	book	book	PROPN
bracis-28430	1	109	epub	epub	PROPN
bracis-28430	1	110	eric	eric	PROPN
bracis-28430	1	111	kenzo	kenzo	PROPN
bracis-28430	1	112	taniguchi	taniguchi	PROPN
bracis-28430	1	113	onuki	onuki	PROPN
bracis-28430	1	114	  	  	SPACE
bracis-28430	1	115	orcid	orcid	NOUN
bracis-28430	1	116	:	:	PUNCT
bracis-28430	1	117	orcid.org/0009-0008-6478-96179	orcid.org/0009-0008-6478-96179	NOUN
bracis-28430	1	118	,	,	PUNCT
bracis-28430	1	119	andreia	andreia	NOUN
bracis-28430	1	120	malucelli	malucelli	PROPN
bracis-28430	1	121	  	  	SPACE
bracis-28430	1	122	orcid	orcid	NOUN
bracis-28430	1	123	:	:	PUNCT
bracis-28430	1	124	orcid.org/0000-0002-0929-18749	orcid.org/0000-0002-0929-18749	PROPN
bracis-28430	1	125	&	&	CCONJ
bracis-28430	1	126	jean	jean	PROPN
bracis-28430	1	127	paul	paul	PROPN
bracis-28430	1	128	barddal	barddal	PROPN
bracis-28430	1	129	  	  	SPACE
bracis-28430	1	130	orcid	orcid	NOUN
bracis-28430	1	131	:	:	PUNCT
bracis-28430	1	132	orcid.org/0000-0001-9928-854x9	orcid.org/0000-0001-9928-854x9	NUM
bracis-28430	1	133	  	  	SPACE
bracis-28430	1	134	part	part	NOUN
bracis-28430	1	135	of	of	ADP
bracis-28430	1	136	the	the	DET
bracis-28430	1	137	book	book	NOUN
bracis-28430	1	138	series	series	NOUN
bracis-28430	1	139	:	:	PUNCT
bracis-28430	1	140	lecture	lecture	NOUN
bracis-28430	1	141	notes	note	NOUN
bracis-28430	1	142	in	in	ADP
bracis-28430	1	143	computer	computer	NOUN
bracis-28430	1	144	science	science	NOUN
bracis-28430	1	145	(	(	PUNCT
bracis-28430	1	146	(	(	PUNCT
bracis-28430	1	147	lnai	lnai	ADJ
bracis-28430	1	148	,	,	PUNCT
bracis-28430	1	149	volume	volume	NOUN
bracis-28430	1	150	14197	14197	NUM
bracis-28430	1	151	)	)	PUNCT
bracis-28430	1	152	)	)	PUNCT
bracis-28430	1	153	included	include	VERB
bracis-28430	1	154	in	in	ADP
bracis-28430	1	155	the	the	DET
bracis-28430	1	156	following	follow	VERB
bracis-28430	1	157	conference	conference	NOUN
bracis-28430	1	158	series	series	NOUN
bracis-28430	1	159	:	:	PUNCT
bracis-28430	1	160	brazilian	brazilian	ADJ
bracis-28430	1	161	conference	conference	NOUN
bracis-28430	1	162	on	on	ADP
bracis-28430	1	163	intelligent	intelligent	ADJ
bracis-28430	1	164	systems	system	NOUN
bracis-28430	1	165	532	532	NUM
bracis-28430	1	166	accesses	access	NOUN
bracis-28430	1	167	1	1	NUM
bracis-28430	1	168	citation	citation	NOUN
bracis-28430	1	169	abstract	abstract	ADJ
bracis-28430	1	170	energy	energy	NOUN
bracis-28430	1	171	consumption	consumption	NOUN
bracis-28430	1	172	reduction	reduction	NOUN
bracis-28430	1	173	is	be	AUX
bracis-28430	1	174	an	an	DET
bracis-28430	1	175	increasing	increase	VERB
bracis-28430	1	176	trend	trend	NOUN
bracis-28430	1	177	in	in	ADP
bracis-28430	1	178	machine	machine	NOUN
bracis-28430	1	179	learning	learning	NOUN
bracis-28430	1	180	given	give	VERB
bracis-28430	1	181	its	its	PRON
bracis-28430	1	182	relevance	relevance	NOUN
bracis-28430	1	183	in	in	ADP
bracis-28430	1	184	socio	socio	NOUN
bracis-28430	1	185	-	-	PUNCT
bracis-28430	1	186	ecological	ecological	ADJ
bracis-28430	1	187	importance	importance	NOUN
bracis-28430	1	188	.	.	PUNCT
bracis-28430	2	1	consequently	consequently	ADV
bracis-28430	2	2	,	,	PUNCT
bracis-28430	2	3	it	it	PRON
bracis-28430	2	4	is	be	AUX
bracis-28430	2	5	important	important	ADJ
bracis-28430	2	6	to	to	PART
bracis-28430	2	7	quantify	quantify	VERB
bracis-28430	2	8	how	how	SCONJ
bracis-28430	2	9	real	real	ADJ
bracis-28430	2	10	-	-	PUNCT
bracis-28430	2	11	time	time	NOUN
bracis-28430	2	12	learning	learn	VERB
bracis-28430	2	13	algorithms	algorithm	NOUN
bracis-28430	2	14	tailored	tailor	VERB
bracis-28430	2	15	for	for	ADP
bracis-28430	2	16	data	data	NOUN
bracis-28430	2	17	streams	stream	NOUN
bracis-28430	2	18	and	and	CCONJ
bracis-28430	2	19	edge	edge	NOUN
bracis-28430	2	20	computing	compute	VERB
bracis-28430	2	21	behave	behave	VERB
bracis-28430	2	22	in	in	ADP
bracis-28430	2	23	terms	term	NOUN
bracis-28430	2	24	of	of	ADP
bracis-28430	2	25	accuracy	accuracy	NOUN
bracis-28430	2	26	,	,	PUNCT
bracis-28430	2	27	processing	processing	NOUN
bracis-28430	2	28	time	time	NOUN
bracis-28430	2	29	,	,	PUNCT
bracis-28430	2	30	memory	memory	NOUN
bracis-28430	2	31	usage	usage	NOUN
bracis-28430	2	32	,	,	PUNCT
bracis-28430	2	33	and	and	CCONJ
bracis-28430	2	34	energy	energy	NOUN
bracis-28430	2	35	consumption	consumption	NOUN
bracis-28430	2	36	.	.	PUNCT
bracis-28430	3	1	in	in	ADP
bracis-28430	3	2	this	this	DET
bracis-28430	3	3	work	work	NOUN
bracis-28430	3	4	,	,	PUNCT
bracis-28430	3	5	we	we	PRON
bracis-28430	3	6	bring	bring	VERB
bracis-28430	3	7	forward	forward	ADV
bracis-28430	3	8	a	a	DET
bracis-28430	3	9	tool	tool	NOUN
bracis-28430	3	10	for	for	ADP
bracis-28430	3	11	measuring	measure	VERB
bracis-28430	3	12	energy	energy	NOUN
bracis-28430	3	13	consumption	consumption	NOUN
bracis-28430	3	14	in	in	ADP
bracis-28430	3	15	the	the	DET
bracis-28430	3	16	massive	massive	ADJ
bracis-28430	3	17	online	online	ADJ
bracis-28430	3	18	analysis	analysis	NOUN
bracis-28430	3	19	(	(	PUNCT
bracis-28430	3	20	moa	moa	NOUN
bracis-28430	3	21	)	)	PUNCT
bracis-28430	3	22	.	.	PUNCT
bracis-28430	4	1	first	first	ADV
bracis-28430	4	2	,	,	PUNCT
bracis-28430	4	3	we	we	PRON
bracis-28430	4	4	analyze	analyze	VERB
bracis-28430	4	5	the	the	DET
bracis-28430	4	6	energy	energy	NOUN
bracis-28430	4	7	consumption	consumption	NOUN
bracis-28430	4	8	rates	rate	NOUN
bracis-28430	4	9	obtained	obtain	VERB
bracis-28430	4	10	by	by	ADP
bracis-28430	4	11	our	our	PRON
bracis-28430	4	12	tool	tool	NOUN
bracis-28430	4	13	against	against	ADP
bracis-28430	4	14	a	a	DET
bracis-28430	4	15	gold	gold	NOUN
bracis-28430	4	16	-	-	PUNCT
bracis-28430	4	17	standard	standard	ADJ
bracis-28430	4	18	hardware	hardware	NOUN
bracis-28430	4	19	solution	solution	NOUN
bracis-28430	4	20	,	,	PUNCT
bracis-28430	4	21	thus	thus	ADV
bracis-28430	4	22	showing	show	VERB
bracis-28430	4	23	the	the	DET
bracis-28430	4	24	robustness	robustness	NOUN
bracis-28430	4	25	of	of	ADP
bracis-28430	4	26	our	our	PRON
bracis-28430	4	27	approach	approach	NOUN
bracis-28430	4	28	.	.	PUNCT
bracis-28430	5	1	next	next	ADV
bracis-28430	5	2	,	,	PUNCT
bracis-28430	5	3	we	we	PRON
bracis-28430	5	4	experimentally	experimentally	ADV
bracis-28430	5	5	analyze	analyze	VERB
bracis-28430	5	6	classification	classification	NOUN
bracis-28430	5	7	algorithms	algorithm	NOUN
bracis-28430	5	8	under	under	ADP
bracis-28430	5	9	different	different	ADJ
bracis-28430	5	10	validation	validation	NOUN
bracis-28430	5	11	protocols	protocol	NOUN
bracis-28430	5	12	and	and	CCONJ
bracis-28430	5	13	concept	concept	NOUN
bracis-28430	5	14	drift	drift	NOUN
bracis-28430	5	15	and	and	CCONJ
bracis-28430	5	16	highlight	highlight	VERB
bracis-28430	5	17	how	how	SCONJ
bracis-28430	5	18	such	such	ADJ
bracis-28430	5	19	classifiers	classifier	NOUN
bracis-28430	5	20	behave	behave	VERB
bracis-28430	5	21	under	under	ADP
bracis-28430	5	22	such	such	ADJ
bracis-28430	5	23	conditions	condition	NOUN
bracis-28430	5	24	.	.	PUNCT
bracis-28430	6	1	results	result	NOUN
bracis-28430	6	2	show	show	VERB
bracis-28430	6	3	that	that	SCONJ
bracis-28430	6	4	our	our	PRON
bracis-28430	6	5	tools	tool	NOUN
bracis-28430	6	6	enable	enable	VERB
bracis-28430	6	7	the	the	DET
bracis-28430	6	8	identification	identification	NOUN
bracis-28430	6	9	of	of	ADP
bracis-28430	6	10	different	different	ADJ
bracis-28430	6	11	classifiers	classifier	NOUN
bracis-28430	6	12	’	’	PART
bracis-28430	6	13	energy	energy	NOUN
bracis-28430	6	14	consumption	consumption	NOUN
bracis-28430	6	15	.	.	PUNCT
bracis-28430	7	1	in	in	ADP
bracis-28430	7	2	particular	particular	ADJ
bracis-28430	7	3	,	,	PUNCT
bracis-28430	7	4	it	it	PRON
bracis-28430	7	5	allows	allow	VERB
bracis-28430	7	6	a	a	DET
bracis-28430	7	7	better	well	ADJ
bracis-28430	7	8	understanding	understanding	NOUN
bracis-28430	7	9	of	of	ADP
bracis-28430	7	10	how	how	SCONJ
bracis-28430	7	11	energy	energy	NOUN
bracis-28430	7	12	consumption	consumption	NOUN
bracis-28430	7	13	rates	rate	NOUN
bracis-28430	7	14	vary	vary	VERB
bracis-28430	7	15	in	in	ADP
bracis-28430	7	16	drifting	drift	VERB
bracis-28430	7	17	and	and	CCONJ
bracis-28430	7	18	non	non	ADJ
bracis-28430	7	19	-	-	ADJ
bracis-28430	7	20	drifting	drifting	ADJ
bracis-28430	7	21	scenarios	scenario	NOUN
bracis-28430	7	22	.	.	PUNCT
bracis-28430	8	1	finally	finally	ADV
bracis-28430	8	2	,	,	PUNCT
bracis-28430	8	3	given	give	VERB
bracis-28430	8	4	the	the	DET
bracis-28430	8	5	insights	insight	NOUN
bracis-28430	8	6	obtained	obtain	VERB
bracis-28430	8	7	during	during	ADP
bracis-28430	8	8	experimentation	experimentation	NOUN
bracis-28430	8	9	on	on	ADP
bracis-28430	8	10	existing	exist	VERB
bracis-28430	8	11	classifiers	classifier	NOUN
bracis-28430	8	12	,	,	PUNCT
bracis-28430	8	13	we	we	PRON
bracis-28430	8	14	make	make	VERB
bracis-28430	8	15	our	our	PRON
bracis-28430	8	16	tool	tool	NOUN
bracis-28430	8	17	publicly	publicly	ADV
bracis-28430	8	18	available	available	ADJ
bracis-28430	8	19	to	to	ADP
bracis-28430	8	20	the	the	DET
bracis-28430	8	21	scientific	scientific	ADJ
bracis-28430	8	22	community	community	NOUN
bracis-28430	8	23	so	so	SCONJ
bracis-28430	8	24	that	that	SCONJ
bracis-28430	8	25	energy	energy	NOUN
bracis-28430	8	26	consumption	consumption	NOUN
bracis-28430	8	27	is	be	AUX
bracis-28430	8	28	also	also	ADV
bracis-28430	8	29	accounted	account	VERB
bracis-28430	8	30	for	for	ADP
bracis-28430	8	31	in	in	ADP
bracis-28430	8	32	developing	develop	VERB
bracis-28430	8	33	and	and	CCONJ
bracis-28430	8	34	comparing	compare	VERB
bracis-28430	8	35	data	datum	NOUN
bracis-28430	8	36	stream	stream	NOUN
bracis-28430	8	37	mining	mining	NOUN
bracis-28430	8	38	algorithms	algorithm	NOUN
bracis-28430	8	39	.	.	PUNCT
bracis-28430	9	1	access	access	NOUN
bracis-28430	9	2	provided	provide	VERB
bracis-28430	9	3	by	by	ADP
bracis-28430	9	4	university	university	PROPN
bracis-28430	9	5	of	of	ADP
bracis-28430	9	6	notre	notre	PROPN
bracis-28430	9	7	dame	dame	PROPN
bracis-28430	9	8	hesburgh	hesburgh	PROPN
bracis-28430	9	9	library	library	PROPN
bracis-28430	9	10	.	.	PUNCT
bracis-28430	10	1	download	download	PROPN
bracis-28430	10	2	conference	conference	NOUN
bracis-28430	10	3	paper	paper	NOUN
bracis-28430	10	4	pdf	pdf	NOUN
bracis-28430	10	5	similar	similar	ADJ
bracis-28430	10	6	content	content	NOUN
bracis-28430	10	7	being	be	AUX
bracis-28430	10	8	viewed	view	VERB
bracis-28430	10	9	by	by	ADP
bracis-28430	10	10	others	other	NOUN
bracis-28430	10	11	real	real	ADJ
bracis-28430	10	12	time	time	NOUN
bracis-28430	10	13	monitoring	monitor	VERB
bracis-28430	10	14	method	method	NOUN
bracis-28430	10	15	of	of	ADP
bracis-28430	10	16	comprehensive	comprehensive	ADJ
bracis-28430	10	17	energy	energy	NOUN
bracis-28430	10	18	consumption	consumption	NOUN
bracis-28430	10	19	based	base	VERB
bracis-28430	10	20	on	on	ADP
bracis-28430	10	21	data	datum	NOUN
bracis-28430	10	22	mining	mining	NOUN
bracis-28430	10	23	algorithm	algorithm	NOUN
bracis-28430	10	24	chapter	chapter	NOUN
bracis-28430	10	25	©	©	PROPN
bracis-28430	10	26	2022	2022	NUM
bracis-28430	10	27	machine	machine	NOUN
bracis-28430	10	28	learning	learn	VERB
bracis-28430	10	29	algorithms	algorithm	NOUN
bracis-28430	10	30	for	for	ADP
bracis-28430	10	31	energy	energy	NOUN
bracis-28430	10	32	consumption	consumption	NOUN
bracis-28430	10	33	prediction	prediction	NOUN
bracis-28430	10	34	in	in	ADP
bracis-28430	10	35	smart	smart	ADJ
bracis-28430	10	36	homes	home	NOUN
bracis-28430	10	37	:	:	PUNCT
bracis-28430	10	38	a	a	DET
bracis-28430	10	39	comparative	comparative	ADJ
bracis-28430	10	40	study	study	NOUN
bracis-28430	10	41	chapter	chapter	NOUN
bracis-28430	10	42	©	©	PROPN
bracis-28430	10	43	2025	2025	NUM
bracis-28430	10	44	predicting	predict	VERB
bracis-28430	10	45	unusual	unusual	ADJ
bracis-28430	10	46	energy	energy	NOUN
bracis-28430	10	47	consumption	consumption	NOUN
bracis-28430	10	48	events	event	NOUN
bracis-28430	10	49	from	from	ADP
bracis-28430	10	50	smart	smart	ADJ
bracis-28430	10	51	home	home	NOUN
bracis-28430	10	52	sensor	sensor	NOUN
bracis-28430	10	53	network	network	NOUN
bracis-28430	10	54	by	by	ADP
bracis-28430	10	55	data	datum	NOUN
bracis-28430	10	56	stream	stream	NOUN
bracis-28430	10	57	mining	mining	NOUN
bracis-28430	10	58	with	with	ADP
bracis-28430	10	59	misclassified	misclassified	ADJ
bracis-28430	10	60	recall	recall	NOUN
bracis-28430	10	61	article	article	NOUN
bracis-28430	10	62	20	20	NUM
bracis-28430	10	63	february	february	PROPN
bracis-28430	10	64	2018	2018	NUM
bracis-28430	10	65	explore	explore	VERB
bracis-28430	10	66	related	related	ADJ
bracis-28430	10	67	subjects	subject	NOUN
bracis-28430	10	68	discover	discover	VERB
bracis-28430	10	69	the	the	DET
bracis-28430	10	70	latest	late	ADJ
bracis-28430	10	71	articles	article	NOUN
bracis-28430	10	72	,	,	PUNCT
bracis-28430	10	73	books	book	NOUN
bracis-28430	10	74	and	and	CCONJ
bracis-28430	10	75	news	news	NOUN
bracis-28430	10	76	in	in	ADP
bracis-28430	10	77	related	related	ADJ
bracis-28430	10	78	subjects	subject	NOUN
bracis-28430	10	79	,	,	PUNCT
bracis-28430	10	80	suggested	suggest	VERB
bracis-28430	10	81	using	use	VERB
bracis-28430	10	82	machine	machine	NOUN
bracis-28430	10	83	learning	learning	NOUN
bracis-28430	10	84	.	.	PUNCT
bracis-28430	11	1	data	datum	NOUN
bracis-28430	11	2	analytics	analytic	NOUN
bracis-28430	11	3	data	data	PROPN
bracis-28430	11	4	mining	mining	NOUN
bracis-28430	11	5	energy	energy	NOUN
bracis-28430	11	6	management	management	NOUN
bracis-28430	11	7	energy	energy	NOUN
bracis-28430	11	8	informatics	informatic	NOUN
bracis-28430	11	9	learning	learn	VERB
bracis-28430	11	10	algorithms	algorithm	NOUN
bracis-28430	11	11	machine	machine	NOUN
bracis-28430	11	12	learning	learn	VERB
bracis-28430	11	13	1	1	NUM
bracis-28430	11	14	introduction	introduction	NOUN
bracis-28430	11	15	data	datum	NOUN
bracis-28430	11	16	is	be	AUX
bracis-28430	11	17	consistently	consistently	ADV
bracis-28430	11	18	being	be	AUX
bracis-28430	11	19	generated	generate	VERB
bracis-28430	11	20	,	,	PUNCT
bracis-28430	11	21	stored	store	VERB
bracis-28430	11	22	,	,	PUNCT
bracis-28430	11	23	and	and	CCONJ
bracis-28430	11	24	processed	process	VERB
bracis-28430	11	25	.	.	PUNCT
bracis-28430	12	1	several	several	ADJ
bracis-28430	12	2	applications	application	NOUN
bracis-28430	12	3	provide	provide	VERB
bracis-28430	12	4	data	datum	NOUN
bracis-28430	12	5	generated	generate	VERB
bracis-28430	12	6	in	in	ADP
bracis-28430	12	7	large	large	ADJ
bracis-28430	12	8	amounts	amount	NOUN
bracis-28430	12	9	,	,	PUNCT
bracis-28430	12	10	frequency	frequency	NOUN
bracis-28430	12	11	,	,	PUNCT
bracis-28430	12	12	and	and	CCONJ
bracis-28430	12	13	speed	speed	NOUN
bracis-28430	12	14	.	.	PUNCT
bracis-28430	13	1	in	in	ADP
bracis-28430	13	2	this	this	DET
bracis-28430	13	3	paper	paper	NOUN
bracis-28430	13	4	,	,	PUNCT
bracis-28430	13	5	we	we	PRON
bracis-28430	13	6	focus	focus	VERB
bracis-28430	13	7	on	on	ADP
bracis-28430	13	8	such	such	ADJ
bracis-28430	13	9	scenarios	scenario	NOUN
bracis-28430	13	10	the	the	DET
bracis-28430	13	11	so	so	ADV
bracis-28430	13	12	-	-	PUNCT
bracis-28430	13	13	called	call	VERB
bracis-28430	13	14	data	datum	NOUN
bracis-28430	13	15	streams	stream	NOUN
bracis-28430	13	16	.	.	PUNCT
bracis-28430	14	1	data	datum	NOUN
bracis-28430	14	2	streams	stream	NOUN
bracis-28430	14	3	are	be	AUX
bracis-28430	14	4	,	,	PUNCT
bracis-28430	14	5	per	per	ADP
bracis-28430	14	6	definition	definition	NOUN
bracis-28430	14	7	,	,	PUNCT
bracis-28430	14	8	potentially	potentially	ADV
bracis-28430	14	9	unbounded	unbounded	ADJ
bracis-28430	14	10	and	and	CCONJ
bracis-28430	14	11	non	non	ADJ
bracis-28430	14	12	-	-	ADJ
bracis-28430	14	13	stationary	stationary	ADJ
bracis-28430	14	14	data	datum	NOUN
bracis-28430	14	15	sequences	sequence	NOUN
bracis-28430	14	16	[	[	X
bracis-28430	14	17	10	10	NUM
bracis-28430	14	18	]	]	PUNCT
bracis-28430	14	19	.	.	PUNCT
bracis-28430	15	1	consequently	consequently	ADV
bracis-28430	15	2	,	,	PUNCT
bracis-28430	15	3	performing	perform	VERB
bracis-28430	15	4	data	datum	NOUN
bracis-28430	15	5	mining	mining	NOUN
bracis-28430	15	6	to	to	PART
bracis-28430	15	7	extract	extract	VERB
bracis-28430	15	8	useful	useful	ADJ
bracis-28430	15	9	insights	insight	NOUN
bracis-28430	15	10	and	and	CCONJ
bracis-28430	15	11	patterns	pattern	NOUN
bracis-28430	15	12	from	from	ADP
bracis-28430	15	13	such	such	ADJ
bracis-28430	15	14	data	datum	NOUN
bracis-28430	15	15	requires	require	VERB
bracis-28430	15	16	algorithms	algorithm	NOUN
bracis-28430	15	17	that	that	PRON
bracis-28430	15	18	are	be	AUX
bracis-28430	15	19	tailored	tailor	VERB
bracis-28430	15	20	to	to	ADP
bracis-28430	15	21	such	such	ADJ
bracis-28430	15	22	scenarios	scenario	NOUN
bracis-28430	15	23	.	.	PUNCT
bracis-28430	16	1	in	in	ADP
bracis-28430	16	2	contrast	contrast	NOUN
bracis-28430	16	3	to	to	ADP
bracis-28430	16	4	traditional	traditional	ADJ
bracis-28430	16	5	machine	machine	NOUN
bracis-28430	16	6	learning	learning	NOUN
bracis-28430	16	7	,	,	PUNCT
bracis-28430	16	8	the	the	DET
bracis-28430	16	9	data	data	NOUN
bracis-28430	16	10	stream	stream	NOUN
bracis-28430	16	11	mining	mining	NOUN
bracis-28430	16	12	area	area	NOUN
bracis-28430	16	13	has	have	AUX
bracis-28430	16	14	shown	show	VERB
bracis-28430	16	15	concerns	concern	NOUN
bracis-28430	16	16	with	with	ADP
bracis-28430	16	17	the	the	DET
bracis-28430	16	18	trade	trade	NOUN
bracis-28430	16	19	-	-	PUNCT
bracis-28430	16	20	off	off	NOUN
bracis-28430	16	21	between	between	ADP
bracis-28430	16	22	accuracy	accuracy	NOUN
bracis-28430	16	23	and	and	CCONJ
bracis-28430	16	24	computational	computational	ADJ
bracis-28430	16	25	resources	resource	NOUN
bracis-28430	16	26	,	,	PUNCT
bracis-28430	16	27	i.e.	i.e.	X
bracis-28430	16	28	,	,	PUNCT
bracis-28430	16	29	processing	processing	NOUN
bracis-28430	16	30	time	time	NOUN
bracis-28430	16	31	and	and	CCONJ
bracis-28430	16	32	memory	memory	NOUN
bracis-28430	16	33	consumption	consumption	NOUN
bracis-28430	16	34	[	[	X
bracis-28430	16	35	5	5	NUM
bracis-28430	16	36	]	]	PUNCT
bracis-28430	16	37	.	.	PUNCT
bracis-28430	17	1	nonetheless	nonetheless	ADV
bracis-28430	17	2	,	,	PUNCT
bracis-28430	17	3	recent	recent	ADJ
bracis-28430	17	4	research	research	NOUN
bracis-28430	17	5	has	have	AUX
bracis-28430	17	6	shown	show	VERB
bracis-28430	17	7	that	that	SCONJ
bracis-28430	17	8	we	we	PRON
bracis-28430	17	9	still	still	ADV
bracis-28430	17	10	need	need	VERB
bracis-28430	17	11	more	more	ADV
bracis-28430	17	12	significant	significant	ADJ
bracis-28430	17	13	steps	step	NOUN
bracis-28430	17	14	toward	toward	ADP
bracis-28430	17	15	sustainability	sustainability	NOUN
bracis-28430	17	16	.	.	PUNCT
bracis-28430	18	1	for	for	ADP
bracis-28430	18	2	instance	instance	NOUN
bracis-28430	18	3	,	,	PUNCT
bracis-28430	18	4	authors	author	NOUN
bracis-28430	18	5	in	in	ADP
bracis-28430	18	6	[	[	X
bracis-28430	18	7	28	28	NUM
bracis-28430	18	8	]	]	PUNCT
bracis-28430	18	9	depict	depict	NOUN
bracis-28430	18	10	that	that	SCONJ
bracis-28430	18	11	the	the	DET
bracis-28430	18	12	co2	co2	NOUN
bracis-28430	18	13	emissions	emission	NOUN
bracis-28430	18	14	of	of	ADP
bracis-28430	18	15	training	train	VERB
bracis-28430	18	16	neural	neural	ADJ
bracis-28430	18	17	networks	network	NOUN
bracis-28430	18	18	are	be	AUX
bracis-28430	18	19	larger	large	ADJ
bracis-28430	18	20	than	than	ADP
bracis-28430	18	21	that	that	PRON
bracis-28430	18	22	of	of	ADP
bracis-28430	18	23	a	a	DET
bracis-28430	18	24	car	car	NOUN
bracis-28430	18	25	in	in	ADP
bracis-28430	18	26	its	its	PRON
bracis-28430	18	27	lifetime	lifetime	NOUN
bracis-28430	18	28	.	.	PUNCT
bracis-28430	19	1	first	first	ADV
bracis-28430	19	2	,	,	PUNCT
bracis-28430	19	3	there	there	PRON
bracis-28430	19	4	is	be	VERB
bracis-28430	19	5	no	no	DET
bracis-28430	19	6	clear	clear	ADJ
bracis-28430	19	7	relationship	relationship	NOUN
bracis-28430	19	8	between	between	ADP
bracis-28430	19	9	processing	processing	NOUN
bracis-28430	19	10	time	time	NOUN
bracis-28430	19	11	,	,	PUNCT
bracis-28430	19	12	memory	memory	NOUN
bracis-28430	19	13	consumption	consumption	NOUN
bracis-28430	19	14	,	,	PUNCT
bracis-28430	19	15	and	and	CCONJ
bracis-28430	19	16	energy	energy	NOUN
bracis-28430	19	17	consumption	consumption	NOUN
bracis-28430	19	18	.	.	PUNCT
bracis-28430	20	1	even	even	ADV
bracis-28430	20	2	though	though	SCONJ
bracis-28430	20	3	these	these	DET
bracis-28430	20	4	components	component	NOUN
bracis-28430	20	5	are	be	AUX
bracis-28430	20	6	tied	tie	VERB
bracis-28430	20	7	to	to	ADP
bracis-28430	20	8	one	one	NUM
bracis-28430	20	9	another	another	DET
bracis-28430	20	10	,	,	PUNCT
bracis-28430	20	11	multi	multi	ADJ
bracis-28430	20	12	-	-	ADJ
bracis-28430	20	13	threading	threading	ADJ
bracis-28430	20	14	,	,	PUNCT
bracis-28430	20	15	compiler	compiler	NOUN
bracis-28430	20	16	,	,	PUNCT
bracis-28430	20	17	and	and	CCONJ
bracis-28430	20	18	other	other	ADJ
bracis-28430	20	19	low	low	ADJ
bracis-28430	20	20	-	-	PUNCT
bracis-28430	20	21	level	level	NOUN
bracis-28430	20	22	computational	computational	ADJ
bracis-28430	20	23	architecture	architecture	NOUN
bracis-28430	20	24	have	have	AUX
bracis-28430	20	25	been	be	AUX
bracis-28430	20	26	shown	show	VERB
bracis-28430	20	27	to	to	PART
bracis-28430	20	28	impact	impact	VERB
bracis-28430	20	29	the	the	DET
bracis-28430	20	30	entire	entire	ADJ
bracis-28430	20	31	process	process	NOUN
bracis-28430	20	32	,	,	PUNCT
bracis-28430	20	33	and	and	CCONJ
bracis-28430	20	34	,	,	PUNCT
bracis-28430	20	35	consequently	consequently	ADV
bracis-28430	20	36	,	,	PUNCT
bracis-28430	20	37	energy	energy	NOUN
bracis-28430	20	38	consumption	consumption	NOUN
bracis-28430	20	39	can	can	AUX
bracis-28430	20	40	not	not	PART
bracis-28430	20	41	be	be	AUX
bracis-28430	20	42	directly	directly	ADV
bracis-28430	20	43	estimated	estimate	VERB
bracis-28430	20	44	from	from	ADP
bracis-28430	20	45	such	such	ADJ
bracis-28430	20	46	components	component	NOUN
bracis-28430	21	1	[	[	X
bracis-28430	21	2	13	13	NUM
bracis-28430	21	3	,	,	PUNCT
bracis-28430	21	4	18	18	NUM
bracis-28430	21	5	]	]	PUNCT
bracis-28430	21	6	.	.	PUNCT
bracis-28430	22	1	having	have	VERB
bracis-28430	22	2	both	both	CCONJ
bracis-28430	22	3	sustainability	sustainability	NOUN
bracis-28430	22	4	and	and	CCONJ
bracis-28430	22	5	the	the	DET
bracis-28430	22	6	lack	lack	NOUN
bracis-28430	22	7	of	of	ADP
bracis-28430	22	8	generic	generic	ADJ
bracis-28430	22	9	tools	tool	NOUN
bracis-28430	22	10	for	for	ADP
bracis-28430	22	11	quantifying	quantify	VERB
bracis-28430	22	12	energy	energy	NOUN
bracis-28430	22	13	consumption	consumption	NOUN
bracis-28430	22	14	in	in	ADP
bracis-28430	22	15	streaming	streaming	NOUN
bracis-28430	22	16	scenarios	scenario	NOUN
bracis-28430	22	17	as	as	ADP
bracis-28430	22	18	motivation	motivation	NOUN
bracis-28430	22	19	,	,	PUNCT
bracis-28430	22	20	we	we	PRON
bracis-28430	22	21	bring	bring	VERB
bracis-28430	22	22	forward	forward	ADV
bracis-28430	22	23	a	a	DET
bracis-28430	22	24	tool	tool	NOUN
bracis-28430	22	25	for	for	ADP
bracis-28430	22	26	researchers	researcher	NOUN
bracis-28430	22	27	and	and	CCONJ
bracis-28430	22	28	practitioners	practitioner	NOUN
bracis-28430	22	29	to	to	PART
bracis-28430	22	30	investigate	investigate	VERB
bracis-28430	22	31	how	how	SCONJ
bracis-28430	22	32	data	datum	NOUN
bracis-28430	22	33	stream	stream	NOUN
bracis-28430	22	34	mining	mining	NOUN
bracis-28430	22	35	algorithms	algorithm	NOUN
bracis-28430	22	36	behave	behave	VERB
bracis-28430	22	37	under	under	ADP
bracis-28430	22	38	different	different	ADJ
bracis-28430	22	39	streaming	streaming	NOUN
bracis-28430	22	40	settings	setting	NOUN
bracis-28430	22	41	,	,	PUNCT
bracis-28430	22	42	e.g.	e.g.	ADV
bracis-28430	22	43	,	,	PUNCT
bracis-28430	22	44	with	with	ADP
bracis-28430	22	45	and	and	CCONJ
bracis-28430	22	46	without	without	ADP
bracis-28430	22	47	concept	concept	NOUN
bracis-28430	22	48	drifts	drift	NOUN
bracis-28430	22	49	,	,	PUNCT
bracis-28430	22	50	different	different	ADJ
bracis-28430	22	51	validation	validation	NOUN
bracis-28430	22	52	schema	schema	NOUN
bracis-28430	22	53	,	,	PUNCT
bracis-28430	22	54	etc	etc	X
bracis-28430	22	55	.	.	X
bracis-28430	23	1	in	in	ADP
bracis-28430	23	2	opposition	opposition	NOUN
bracis-28430	23	3	to	to	ADP
bracis-28430	23	4	previous	previous	ADJ
bracis-28430	23	5	works	work	NOUN
bracis-28430	23	6	[	[	X
bracis-28430	23	7	15	15	NUM
bracis-28430	23	8	,	,	PUNCT
bracis-28430	23	9	16	16	NUM
bracis-28430	23	10	]	]	PUNCT
bracis-28430	23	11	,	,	PUNCT
bracis-28430	23	12	our	our	PRON
bracis-28430	23	13	tool	tool	NOUN
bracis-28430	23	14	is	be	AUX
bracis-28430	23	15	generic	generic	ADJ
bracis-28430	23	16	because	because	SCONJ
bracis-28430	23	17	it	it	PRON
bracis-28430	23	18	can	can	AUX
bracis-28430	23	19	be	be	AUX
bracis-28430	23	20	coupled	couple	VERB
bracis-28430	23	21	with	with	ADP
bracis-28430	23	22	any	any	DET
bracis-28430	23	23	classifier	classifier	NOUN
bracis-28430	23	24	and	and	CCONJ
bracis-28430	23	25	data	datum	NOUN
bracis-28430	23	26	stream	stream	NOUN
bracis-28430	23	27	available	available	ADJ
bracis-28430	23	28	in	in	ADP
bracis-28430	23	29	the	the	DET
bracis-28430	23	30	massive	massive	ADJ
bracis-28430	23	31	online	online	ADJ
bracis-28430	23	32	analysis	analysis	NOUN
bracis-28430	23	33	(	(	PUNCT
bracis-28430	23	34	moa	moa	NOUN
bracis-28430	23	35	)	)	PUNCT
bracis-28430	23	36	framework	framework	NOUN
bracis-28430	23	37	[	[	X
bracis-28430	23	38	6	6	NUM
bracis-28430	23	39	]	]	PUNCT
bracis-28430	23	40	,	,	PUNCT
bracis-28430	23	41	which	which	PRON
bracis-28430	23	42	is	be	AUX
bracis-28430	23	43	the	the	DET
bracis-28430	23	44	off	off	ADP
bracis-28430	23	45	-	-	PUNCT
bracis-28430	23	46	the	the	DET
bracis-28430	23	47	-	-	PUNCT
bracis-28430	23	48	shelf	shelf	NOUN
bracis-28430	23	49	solution	solution	NOUN
bracis-28430	23	50	for	for	ADP
bracis-28430	23	51	implementing	implement	VERB
bracis-28430	23	52	and	and	CCONJ
bracis-28430	23	53	testing	test	VERB
bracis-28430	23	54	streaming	streaming	NOUN
bracis-28430	23	55	methods	method	NOUN
bracis-28430	23	56	.	.	PUNCT
bracis-28430	24	1	we	we	PRON
bracis-28430	24	2	experimentally	experimentally	ADV
bracis-28430	24	3	evaluate	evaluate	VERB
bracis-28430	24	4	our	our	PRON
bracis-28430	24	5	tool	tool	NOUN
bracis-28430	24	6	against	against	ADP
bracis-28430	24	7	a	a	DET
bracis-28430	24	8	hardware	hardware	NOUN
bracis-28430	24	9	solution	solution	NOUN
bracis-28430	24	10	and	and	CCONJ
bracis-28430	24	11	assess	assess	VERB
bracis-28430	24	12	the	the	DET
bracis-28430	24	13	energy	energy	NOUN
bracis-28430	24	14	consumption	consumption	NOUN
bracis-28430	24	15	of	of	ADP
bracis-28430	24	16	different	different	ADJ
bracis-28430	24	17	classifiers	classifier	NOUN
bracis-28430	24	18	under	under	ADP
bracis-28430	24	19	different	different	ADJ
bracis-28430	24	20	streaming	streaming	NOUN
bracis-28430	24	21	settings	setting	NOUN
bracis-28430	24	22	.	.	PUNCT
bracis-28430	25	1	finally	finally	ADV
bracis-28430	25	2	,	,	PUNCT
bracis-28430	25	3	the	the	DET
bracis-28430	25	4	tool	tool	NOUN
bracis-28430	25	5	is	be	AUX
bracis-28430	25	6	made	make	VERB
bracis-28430	25	7	publicly	publicly	ADV
bracis-28430	25	8	available	available	ADJ
bracis-28430	25	9	to	to	ADP
bracis-28430	25	10	the	the	DET
bracis-28430	25	11	scientific	scientific	ADJ
bracis-28430	25	12	community	community	NOUN
bracis-28430	25	13	as	as	ADP
bracis-28430	25	14	a	a	DET
bracis-28430	25	15	byproduct	byproduct	NOUN
bracis-28430	25	16	of	of	ADP
bracis-28430	25	17	our	our	PRON
bracis-28430	25	18	research	research	NOUN
bracis-28430	25	19	.	.	PUNCT
bracis-28430	26	1	this	this	DET
bracis-28430	26	2	paper	paper	NOUN
bracis-28430	26	3	is	be	AUX
bracis-28430	26	4	divided	divide	VERB
bracis-28430	26	5	as	as	ADP
bracis-28430	26	6	follows	follow	VERB
bracis-28430	26	7	.	.	PUNCT
bracis-28430	27	1	section	section	NOUN
bracis-28430	27	2	 	 	SPACE
bracis-28430	27	3	2	2	NUM
bracis-28430	27	4	describes	describe	VERB
bracis-28430	27	5	data	data	NOUN
bracis-28430	27	6	stream	stream	NOUN
bracis-28430	27	7	mining	mining	NOUN
bracis-28430	27	8	and	and	CCONJ
bracis-28430	27	9	brings	bring	VERB
bracis-28430	27	10	forward	forward	ADV
bracis-28430	27	11	the	the	DET
bracis-28430	27	12	main	main	ADJ
bracis-28430	27	13	concepts	concept	NOUN
bracis-28430	27	14	in	in	ADP
bracis-28430	27	15	energy	energy	NOUN
bracis-28430	27	16	consumption	consumption	NOUN
bracis-28430	27	17	.	.	PUNCT
bracis-28430	28	1	section	section	NOUN
bracis-28430	28	2	 	 	SPACE
bracis-28430	28	3	3	3	NUM
bracis-28430	28	4	discusses	discuss	VERB
bracis-28430	28	5	related	related	ADJ
bracis-28430	28	6	works	work	NOUN
bracis-28430	28	7	that	that	PRON
bracis-28430	28	8	lie	lie	VERB
bracis-28430	28	9	at	at	ADP
bracis-28430	28	10	the	the	DET
bracis-28430	28	11	intersection	intersection	NOUN
bracis-28430	28	12	of	of	ADP
bracis-28430	28	13	energy	energy	NOUN
bracis-28430	28	14	consumption	consumption	NOUN
bracis-28430	28	15	and	and	CCONJ
bracis-28430	28	16	data	datum	NOUN
bracis-28430	28	17	stream	stream	NOUN
bracis-28430	28	18	mining	mining	NOUN
bracis-28430	28	19	.	.	PUNCT
bracis-28430	29	1	section	section	NOUN
bracis-28430	29	2	 	 	SPACE
bracis-28430	29	3	4	4	NUM
bracis-28430	29	4	describes	describe	VERB
bracis-28430	29	5	our	our	PRON
bracis-28430	29	6	tool	tool	NOUN
bracis-28430	29	7	for	for	ADP
bracis-28430	29	8	energy	energy	NOUN
bracis-28430	29	9	consumption	consumption	NOUN
bracis-28430	29	10	measurements	measurement	NOUN
bracis-28430	29	11	and	and	CCONJ
bracis-28430	29	12	describes	describe	VERB
bracis-28430	29	13	how	how	SCONJ
bracis-28430	29	14	it	it	PRON
bracis-28430	29	15	has	have	AUX
bracis-28430	29	16	been	be	AUX
bracis-28430	29	17	combined	combine	VERB
bracis-28430	29	18	with	with	ADP
bracis-28430	29	19	the	the	DET
bracis-28430	29	20	massive	massive	ADJ
bracis-28430	29	21	online	online	ADJ
bracis-28430	29	22	analysis	analysis	NOUN
bracis-28430	29	23	(	(	PUNCT
bracis-28430	29	24	moa	moa	NOUN
bracis-28430	29	25	)	)	PUNCT
bracis-28430	30	1	[	[	X
bracis-28430	30	2	6	6	NUM
bracis-28430	30	3	]	]	ADJ
bracis-28430	30	4	framework	framework	NOUN
bracis-28430	30	5	.	.	PUNCT
bracis-28430	31	1	section	section	NOUN
bracis-28430	31	2	 	 	SPACE
bracis-28430	31	3	5	5	NUM
bracis-28430	31	4	discusses	discuss	VERB
bracis-28430	31	5	the	the	DET
bracis-28430	31	6	analysis	analysis	NOUN
bracis-28430	31	7	conducted	conduct	VERB
bracis-28430	31	8	to	to	PART
bracis-28430	31	9	validate	validate	VERB
bracis-28430	31	10	our	our	PRON
bracis-28430	31	11	tool	tool	NOUN
bracis-28430	31	12	and	and	CCONJ
bracis-28430	31	13	assess	assess	VERB
bracis-28430	31	14	different	different	ADJ
bracis-28430	31	15	classifiers	classifier	NOUN
bracis-28430	31	16	under	under	ADP
bracis-28430	31	17	different	different	ADJ
bracis-28430	31	18	experimental	experimental	ADJ
bracis-28430	31	19	conditions	condition	NOUN
bracis-28430	31	20	.	.	PUNCT
bracis-28430	32	1	finally	finally	ADV
bracis-28430	32	2	,	,	PUNCT
bracis-28430	32	3	sect	sect	NOUN
bracis-28430	32	4	.	.	PUNCT
bracis-28430	32	5	 	 	SPACE
bracis-28430	32	6	6	6	NUM
bracis-28430	32	7	concludes	conclude	VERB
bracis-28430	32	8	this	this	DET
bracis-28430	32	9	work	work	NOUN
bracis-28430	32	10	and	and	CCONJ
bracis-28430	32	11	states	state	NOUN
bracis-28430	32	12	envisioned	envision	VERB
bracis-28430	32	13	future	future	ADJ
bracis-28430	32	14	works	work	NOUN
bracis-28430	32	15	.	.	PUNCT
bracis-28430	33	1	2	2	NUM
bracis-28430	33	2	data	datum	NOUN
bracis-28430	33	3	stream	stream	NOUN
bracis-28430	33	4	mining	mining	NOUN
bracis-28430	33	5	and	and	CCONJ
bracis-28430	33	6	 	 	SPACE
bracis-28430	33	7	energy	energy	NOUN
bracis-28430	33	8	consumption	consumption	NOUN
bracis-28430	33	9	data	datum	NOUN
bracis-28430	33	10	streams	stream	NOUN
bracis-28430	33	11	are	be	AUX
bracis-28430	33	12	potentially	potentially	ADV
bracis-28430	33	13	unbounded	unbounded	ADJ
bracis-28430	33	14	data	datum	NOUN
bracis-28430	33	15	sequences	sequence	NOUN
bracis-28430	33	16	made	make	VERB
bracis-28430	33	17	available	available	ADJ
bracis-28430	33	18	over	over	ADP
bracis-28430	33	19	time	time	NOUN
bracis-28430	33	20	,	,	PUNCT
bracis-28430	33	21	which	which	PRON
bracis-28430	33	22	may	may	AUX
bracis-28430	33	23	be	be	AUX
bracis-28430	33	24	non	non	ADJ
bracis-28430	33	25	-	-	ADJ
bracis-28430	33	26	stationary	stationary	ADJ
bracis-28430	33	27	.	.	PUNCT
bracis-28430	34	1	consequently	consequently	ADV
bracis-28430	34	2	,	,	PUNCT
bracis-28430	34	3	storing	store	VERB
bracis-28430	34	4	an	an	DET
bracis-28430	34	5	entire	entire	ADJ
bracis-28430	34	6	data	data	NOUN
bracis-28430	34	7	stream	stream	NOUN
bracis-28430	34	8	is	be	AUX
bracis-28430	34	9	unfeasible	unfeasible	ADJ
bracis-28430	34	10	since	since	SCONJ
bracis-28430	34	11	it	it	PRON
bracis-28430	34	12	is	be	AUX
bracis-28430	34	13	not	not	PART
bracis-28430	34	14	entirely	entirely	ADV
bracis-28430	34	15	available	available	ADJ
bracis-28430	34	16	at	at	ADP
bracis-28430	34	17	once	once	ADV
bracis-28430	34	18	,	,	PUNCT
bracis-28430	34	19	and	and	CCONJ
bracis-28430	34	20	it	it	PRON
bracis-28430	34	21	would	would	AUX
bracis-28430	34	22	not	not	PART
bracis-28430	34	23	fit	fit	VERB
bracis-28430	34	24	in	in	ADP
bracis-28430	34	25	memory	memory	NOUN
bracis-28430	34	26	[	[	X
bracis-28430	34	27	10	10	NUM
bracis-28430	34	28	]	]	PUNCT
bracis-28430	34	29	.	.	PUNCT
bracis-28430	35	1	as	as	ADP
bracis-28430	35	2	a	a	DET
bracis-28430	35	3	result	result	NOUN
bracis-28430	35	4	,	,	PUNCT
bracis-28430	35	5	researchers	researcher	NOUN
bracis-28430	35	6	and	and	CCONJ
bracis-28430	35	7	practitioners	practitioner	NOUN
bracis-28430	35	8	have	have	VERB
bracis-28430	35	9	devoted	devote	VERB
bracis-28430	35	10	efforts	effort	NOUN
bracis-28430	35	11	towards	towards	ADP
bracis-28430	35	12	developing	develop	VERB
bracis-28430	35	13	efficient	efficient	ADJ
bracis-28430	35	14	algorithms	algorithm	NOUN
bracis-28430	35	15	to	to	PART
bracis-28430	35	16	process	process	VERB
bracis-28430	35	17	and	and	CCONJ
bracis-28430	35	18	mine	mine	NOUN
bracis-28430	35	19	data	datum	NOUN
bracis-28430	35	20	that	that	PRON
bracis-28430	35	21	arrive	arrive	VERB
bracis-28430	35	22	sequentially	sequentially	ADV
bracis-28430	35	23	over	over	ADP
bracis-28430	35	24	time	time	NOUN
bracis-28430	35	25	.	.	PUNCT
bracis-28430	36	1	therefore	therefore	ADV
bracis-28430	36	2	,	,	PUNCT
bracis-28430	36	3	data	data	NOUN
bracis-28430	36	4	stream	stream	NOUN
bracis-28430	36	5	mining	mining	NOUN
bracis-28430	36	6	is	be	AUX
bracis-28430	36	7	understood	understand	VERB
bracis-28430	36	8	as	as	ADP
bracis-28430	36	9	the	the	DET
bracis-28430	36	10	investigation	investigation	NOUN
bracis-28430	36	11	of	of	ADP
bracis-28430	36	12	patterns	pattern	NOUN
bracis-28430	36	13	,	,	PUNCT
bracis-28430	36	14	anomalies	anomaly	NOUN
bracis-28430	36	15	,	,	PUNCT
bracis-28430	36	16	and	and	CCONJ
bracis-28430	36	17	correlations	correlation	NOUN
bracis-28430	36	18	in	in	ADP
bracis-28430	36	19	streaming	streaming	NOUN
bracis-28430	36	20	data	datum	NOUN
bracis-28430	36	21	.	.	PUNCT
bracis-28430	37	1	in	in	ADP
bracis-28430	37	2	particular	particular	ADJ
bracis-28430	37	3	,	,	PUNCT
bracis-28430	37	4	in	in	ADP
bracis-28430	37	5	this	this	DET
bracis-28430	37	6	work	work	NOUN
bracis-28430	37	7	,	,	PUNCT
bracis-28430	37	8	we	we	PRON
bracis-28430	37	9	focus	focus	VERB
bracis-28430	37	10	on	on	ADP
bracis-28430	37	11	classification	classification	NOUN
bracis-28430	37	12	,	,	PUNCT
bracis-28430	37	13	the	the	DET
bracis-28430	37	14	most	most	ADV
bracis-28430	37	15	popular	popular	ADJ
bracis-28430	37	16	task	task	NOUN
bracis-28430	37	17	in	in	ADP
bracis-28430	37	18	data	data	NOUN
bracis-28430	37	19	stream	stream	NOUN
bracis-28430	37	20	mining	mining	NOUN
bracis-28430	37	21	that	that	PRON
bracis-28430	37	22	conveys	convey	VERB
bracis-28430	37	23	the	the	DET
bracis-28430	37	24	prediction	prediction	NOUN
bracis-28430	37	25	of	of	ADP
bracis-28430	37	26	a	a	DET
bracis-28430	37	27	discrete	discrete	ADJ
bracis-28430	37	28	output	output	NOUN
bracis-28430	37	29	given	give	VERB
bracis-28430	37	30	a	a	DET
bracis-28430	37	31	set	set	NOUN
bracis-28430	37	32	of	of	ADP
bracis-28430	37	33	input	input	NOUN
bracis-28430	37	34	variables	variable	NOUN
bracis-28430	37	35	.	.	PUNCT
bracis-28430	38	1	more	more	ADV
bracis-28430	38	2	formally	formally	ADV
bracis-28430	38	3	,	,	PUNCT
bracis-28430	38	4	we	we	PRON
bracis-28430	38	5	denote	denote	VERB
bracis-28430	38	6	a	a	DET
bracis-28430	38	7	data	data	NOUN
bracis-28430	38	8	stream	stream	NOUN
bracis-28430	38	9	s	s	VERB
bracis-28430	38	10	to	to	PART
bracis-28430	38	11	provide	provide	VERB
bracis-28430	38	12	instances	instance	NOUN
bracis-28430	38	13	\(i^t	\(i^t	X
bracis-28430	38	14	=	=	SYM
bracis-28430	38	15	(	(	PUNCT
bracis-28430	38	16	\boldsymbol{x}^t	\boldsymbol{x}^t	PROPN
bracis-28430	38	17	,	,	PUNCT
bracis-28430	38	18	y^t)\	y^t)\	ADJ
bracis-28430	38	19	)	)	PUNCT
bracis-28430	38	20	at	at	ADP
bracis-28430	38	21	timestamps	timestamp	NOUN
bracis-28430	38	22	denoted	denote	VERB
bracis-28430	38	23	as	as	ADP
bracis-28430	38	24	t.	t.	NOUN
bracis-28430	38	25	we	we	PRON
bracis-28430	38	26	also	also	ADV
bracis-28430	38	27	denote	denote	VERB
bracis-28430	38	28	classification	classification	NOUN
bracis-28430	38	29	as	as	ADP
bracis-28430	38	30	the	the	DET
bracis-28430	38	31	task	task	NOUN
bracis-28430	38	32	of	of	ADP
bracis-28430	38	33	learning	learn	VERB
bracis-28430	38	34	a	a	DET
bracis-28430	38	35	predictive	predictive	ADJ
bracis-28430	38	36	model	model	NOUN
bracis-28430	38	37	\(f:\boldsymbol{x	\(f:\boldsymbol{x	NOUN
bracis-28430	38	38	}	}	PUNCT
bracis-28430	38	39	\rightarrow	\rightarrow	PROPN
bracis-28430	38	40	y\	y\	NOUN
bracis-28430	38	41	)	)	PUNCT
bracis-28430	38	42	,	,	PUNCT
bracis-28430	38	43	where	where	SCONJ
bracis-28430	38	44	y	y	PROPN
bracis-28430	38	45	is	be	AUX
bracis-28430	38	46	a	a	DET
bracis-28430	38	47	discrete	discrete	ADJ
bracis-28430	38	48	label	label	NOUN
bracis-28430	38	49	in	in	ADP
bracis-28430	38	50	y.	y.	NOUN
bracis-28430	38	51	in	in	ADP
bracis-28430	38	52	practice	practice	NOUN
bracis-28430	38	53	,	,	PUNCT
bracis-28430	38	54	we	we	PRON
bracis-28430	38	55	expect	expect	VERB
bracis-28430	38	56	predictions	prediction	NOUN
bracis-28430	38	57	\(\hat{y}\	\(\hat{y}\	PROPN
bracis-28430	38	58	)	)	PUNCT
bracis-28430	38	59	to	to	PART
bracis-28430	38	60	be	be	AUX
bracis-28430	38	61	accurate	accurate	ADJ
bracis-28430	38	62	given	give	VERB
bracis-28430	38	63	the	the	DET
bracis-28430	38	64	ground	ground	NOUN
bracis-28430	38	65	-	-	PUNCT
bracis-28430	38	66	truth	truth	NOUN
bracis-28430	38	67	y	y	PROPN
bracis-28430	38	68	values	value	NOUN
bracis-28430	38	69	.	.	PUNCT
bracis-28430	39	1	one	one	NUM
bracis-28430	39	2	of	of	ADP
bracis-28430	39	3	the	the	DET
bracis-28430	39	4	main	main	ADJ
bracis-28430	39	5	challenges	challenge	NOUN
bracis-28430	39	6	in	in	ADP
bracis-28430	39	7	data	data	NOUN
bracis-28430	39	8	stream	stream	NOUN
bracis-28430	39	9	mining	mining	NOUN
bracis-28430	39	10	is	be	AUX
bracis-28430	39	11	concept	concept	NOUN
bracis-28430	39	12	drift	drift	NOUN
bracis-28430	39	13	[	[	X
bracis-28430	39	14	31	31	NUM
bracis-28430	39	15	]	]	PUNCT
bracis-28430	39	16	,	,	PUNCT
bracis-28430	39	17	which	which	PRON
bracis-28430	39	18	regards	regard	VERB
bracis-28430	39	19	changes	change	NOUN
bracis-28430	39	20	in	in	ADP
bracis-28430	39	21	the	the	DET
bracis-28430	39	22	data	data	NOUN
bracis-28430	39	23	distribution	distribution	NOUN
bracis-28430	39	24	that	that	PRON
bracis-28430	39	25	may	may	AUX
bracis-28430	39	26	render	render	VERB
bracis-28430	39	27	a	a	DET
bracis-28430	39	28	classifier	classifier	NOUN
bracis-28430	39	29	obsolete	obsolete	ADJ
bracis-28430	39	30	.	.	PUNCT
bracis-28430	40	1	formally	formally	ADV
bracis-28430	40	2	,	,	PUNCT
bracis-28430	40	3	a	a	DET
bracis-28430	40	4	concept	concept	NOUN
bracis-28430	40	5	\(c	\(c	NOUN
bracis-28430	40	6	=	=	PUNCT
bracis-28430	40	7	\bigcup	\bigcup	PROPN
bracis-28430	40	8	_	_	PRON
bracis-28430	40	9	{	{	PUNCT
bracis-28430	40	10	y_i	y_i	NUM
bracis-28430	40	11	\in	\in	PROPN
bracis-28430	40	12	y}{\{(p[y_i	y}{\{(p[y_i	PROPN
bracis-28430	40	13	]	]	X
bracis-28430	40	14	,	,	PUNCT
bracis-28430	40	15	p[\boldsymbol{x	p[\boldsymbol{x	NOUN
bracis-28430	40	16	}	}	PUNCT
bracis-28430	40	17	\vert	\vert	PROPN
bracis-28430	40	18	y_i])\}}\	y_i])\}}\	PROPN
bracis-28430	40	19	)	)	PUNCT
bracis-28430	40	20	is	be	AUX
bracis-28430	40	21	a	a	DET
bracis-28430	40	22	set	set	NOUN
bracis-28430	40	23	of	of	ADP
bracis-28430	40	24	class	class	NOUN
bracis-28430	40	25	priors	prior	NOUN
bracis-28430	40	26	and	and	CCONJ
bracis-28430	40	27	class	class	NOUN
bracis-28430	40	28	-	-	PUNCT
bracis-28430	40	29	conditional	conditional	ADJ
bracis-28430	40	30	probability	probability	NOUN
bracis-28430	40	31	density	density	NOUN
bracis-28430	40	32	functions	function	NOUN
bracis-28430	40	33	[	[	X
bracis-28430	40	34	10	10	NUM
bracis-28430	40	35	]	]	PUNCT
bracis-28430	40	36	.	.	PUNCT
bracis-28430	41	1	therefore	therefore	ADV
bracis-28430	41	2	,	,	PUNCT
bracis-28430	41	3	a	a	DET
bracis-28430	41	4	concept	concept	NOUN
bracis-28430	41	5	drift	drift	NOUN
bracis-28430	41	6	is	be	AUX
bracis-28430	41	7	said	say	VERB
bracis-28430	41	8	to	to	PART
bracis-28430	41	9	occur	occur	VERB
bracis-28430	41	10	between	between	ADP
bracis-28430	41	11	two	two	NUM
bracis-28430	41	12	timestamps	timestamp	NOUN
bracis-28430	41	13	\(t_i\	\(t_i\	NOUN
bracis-28430	41	14	)	)	PUNCT
bracis-28430	41	15	and	and	CCONJ
bracis-28430	41	16	\(t_j\	\(t_j\	X
bracis-28430	41	17	)	)	PUNCT
bracis-28430	41	18	if	if	SCONJ
bracis-28430	41	19	\(c^{t_i	\(c^{t_i	ADJ
bracis-28430	41	20	}	}	PUNCT
bracis-28430	41	21	\ne	\ne	PROPN
bracis-28430	41	22	c^{t_j}\	c^{t_j}\	NOUN
bracis-28430	41	23	)	)	PUNCT
bracis-28430	42	1	[	[	X
bracis-28430	42	2	12	12	NUM
bracis-28430	42	3	]	]	PUNCT
bracis-28430	42	4	.	.	PUNCT
bracis-28430	43	1	consequently	consequently	ADV
bracis-28430	43	2	,	,	PUNCT
bracis-28430	43	3	classifiers	classifier	NOUN
bracis-28430	43	4	for	for	ADP
bracis-28430	43	5	data	datum	NOUN
bracis-28430	43	6	streams	stream	NOUN
bracis-28430	43	7	must	must	AUX
bracis-28430	43	8	be	be	AUX
bracis-28430	43	9	adaptive	adaptive	ADJ
bracis-28430	43	10	,	,	PUNCT
bracis-28430	43	11	which	which	PRON
bracis-28430	43	12	means	mean	VERB
bracis-28430	43	13	that	that	SCONJ
bracis-28430	43	14	f	f	PROPN
bracis-28430	43	15	may	may	AUX
bracis-28430	43	16	be	be	AUX
bracis-28430	43	17	adjusted	adjust	VERB
bracis-28430	43	18	when	when	SCONJ
bracis-28430	43	19	newly	newly	ADV
bracis-28430	43	20	labeled	label	VERB
bracis-28430	43	21	instances	instance	NOUN
bracis-28430	43	22	are	be	AUX
bracis-28430	43	23	made	make	VERB
bracis-28430	43	24	available	available	ADJ
bracis-28430	43	25	.	.	PUNCT
bracis-28430	44	1	2.1	2.1	NUM
bracis-28430	44	2	classifiers	classifier	NOUN
bracis-28430	44	3	over	over	ADP
bracis-28430	44	4	the	the	DET
bracis-28430	44	5	years	year	NOUN
bracis-28430	44	6	,	,	PUNCT
bracis-28430	44	7	different	different	ADJ
bracis-28430	44	8	approaches	approach	NOUN
bracis-28430	44	9	have	have	AUX
bracis-28430	44	10	been	be	AUX
bracis-28430	44	11	developed	develop	VERB
bracis-28430	44	12	for	for	ADP
bracis-28430	44	13	the	the	DET
bracis-28430	44	14	classification	classification	NOUN
bracis-28430	44	15	task	task	NOUN
bracis-28430	44	16	in	in	ADP
bracis-28430	44	17	data	datum	NOUN
bracis-28430	44	18	streams	stream	NOUN
bracis-28430	44	19	.	.	PUNCT
bracis-28430	45	1	in	in	ADP
bracis-28430	45	2	practice	practice	NOUN
bracis-28430	45	3	,	,	PUNCT
bracis-28430	45	4	these	these	DET
bracis-28430	45	5	classifiers	classifier	NOUN
bracis-28430	45	6	are	be	AUX
bracis-28430	45	7	variants	variant	NOUN
bracis-28430	45	8	of	of	ADP
bracis-28430	45	9	traditional	traditional	ADJ
bracis-28430	45	10	classifiers	classifier	NOUN
bracis-28430	45	11	available	available	ADJ
bracis-28430	45	12	for	for	ADP
bracis-28430	45	13	batch	batch	NOUN
bracis-28430	45	14	scenarios	scenario	NOUN
bracis-28430	45	15	.	.	PUNCT
bracis-28430	46	1	a	a	DET
bracis-28430	46	2	popular	popular	ADJ
bracis-28430	46	3	approach	approach	NOUN
bracis-28430	46	4	for	for	ADP
bracis-28430	46	5	classification	classification	NOUN
bracis-28430	46	6	in	in	ADP
bracis-28430	46	7	streaming	streaming	NOUN
bracis-28430	46	8	scenarios	scenario	NOUN
bracis-28430	46	9	is	be	AUX
bracis-28430	46	10	the	the	DET
bracis-28430	46	11	incremental	incremental	ADJ
bracis-28430	46	12	naive	naive	ADJ
bracis-28430	46	13	bayes	baye	NOUN
bracis-28430	47	1	[	[	X
bracis-28430	47	2	24	24	NUM
bracis-28430	47	3	]	]	PUNCT
bracis-28430	47	4	.	.	PUNCT
bracis-28430	48	1	as	as	ADP
bracis-28430	48	2	its	its	PRON
bracis-28430	48	3	batch	batch	NOUN
bracis-28430	48	4	counterpart	counterpart	NOUN
bracis-28430	48	5	,	,	PUNCT
bracis-28430	48	6	it	it	PRON
bracis-28430	48	7	assumes	assume	VERB
bracis-28430	48	8	that	that	SCONJ
bracis-28430	48	9	input	input	NOUN
bracis-28430	48	10	features	feature	NOUN
bracis-28430	48	11	are	be	AUX
bracis-28430	48	12	independent	independent	ADJ
bracis-28430	48	13	.	.	PUNCT
bracis-28430	49	1	with	with	ADP
bracis-28430	49	2	the	the	DET
bracis-28430	49	3	arrival	arrival	NOUN
bracis-28430	49	4	of	of	ADP
bracis-28430	49	5	a	a	DET
bracis-28430	49	6	training	training	NOUN
bracis-28430	49	7	instance	instance	NOUN
bracis-28430	49	8	,	,	PUNCT
bracis-28430	49	9	all	all	DET
bracis-28430	49	10	probabilities	probability	NOUN
bracis-28430	49	11	are	be	AUX
bracis-28430	49	12	updated	update	VERB
bracis-28430	49	13	according	accord	VERB
bracis-28430	49	14	.	.	PUNCT
bracis-28430	50	1	since	since	SCONJ
bracis-28430	50	2	probabilities	probability	NOUN
bracis-28430	50	3	are	be	AUX
bracis-28430	50	4	based	base	VERB
bracis-28430	50	5	on	on	ADP
bracis-28430	50	6	counters	counter	NOUN
bracis-28430	50	7	,	,	PUNCT
bracis-28430	50	8	and	and	CCONJ
bracis-28430	50	9	there	there	PRON
bracis-28430	50	10	is	be	VERB
bracis-28430	50	11	no	no	DET
bracis-28430	50	12	need	need	NOUN
bracis-28430	50	13	to	to	PART
bracis-28430	50	14	store	store	VERB
bracis-28430	50	15	instances	instance	NOUN
bracis-28430	50	16	,	,	PUNCT
bracis-28430	50	17	naive	naive	ADJ
bracis-28430	50	18	bayes	bayes	NOUN
bracis-28430	50	19	has	have	VERB
bracis-28430	50	20	a	a	DET
bracis-28430	50	21	constant	constant	ADJ
bracis-28430	50	22	memory	memory	NOUN
bracis-28430	50	23	consumption	consumption	NOUN
bracis-28430	50	24	and	and	CCONJ
bracis-28430	50	25	processing	processing	NOUN
bracis-28430	50	26	time	time	NOUN
bracis-28430	50	27	.	.	PUNCT
bracis-28430	51	1	nonetheless	nonetheless	ADV
bracis-28430	51	2	,	,	PUNCT
bracis-28430	51	3	it	it	PRON
bracis-28430	51	4	does	do	AUX
bracis-28430	51	5	not	not	PART
bracis-28430	51	6	present	present	VERB
bracis-28430	51	7	any	any	DET
bracis-28430	51	8	traits	trait	NOUN
bracis-28430	51	9	to	to	PART
bracis-28430	51	10	identify	identify	VERB
bracis-28430	51	11	and	and	CCONJ
bracis-28430	51	12	adapt	adapt	VERB
bracis-28430	51	13	to	to	ADP
bracis-28430	51	14	concept	concept	NOUN
bracis-28430	51	15	drifts	drift	NOUN
bracis-28430	51	16	.	.	PUNCT
bracis-28430	52	1	the	the	DET
bracis-28430	52	2	most	most	ADV
bracis-28430	52	3	common	common	ADJ
bracis-28430	52	4	approach	approach	NOUN
bracis-28430	52	5	for	for	ADP
bracis-28430	52	6	learning	learn	VERB
bracis-28430	52	7	from	from	ADP
bracis-28430	52	8	data	datum	NOUN
bracis-28430	52	9	streams	stream	NOUN
bracis-28430	52	10	is	be	AUX
bracis-28430	52	11	decision	decision	NOUN
bracis-28430	52	12	trees	tree	NOUN
bracis-28430	52	13	.	.	PUNCT
bracis-28430	53	1	in	in	ADP
bracis-28430	53	2	particular	particular	ADJ
bracis-28430	53	3	,	,	PUNCT
bracis-28430	53	4	hoeffding	hoeffding	NOUN
bracis-28430	53	5	trees	tree	NOUN
bracis-28430	53	6	[	[	X
bracis-28430	53	7	9	9	NUM
bracis-28430	53	8	]	]	PUNCT
bracis-28430	53	9	is	be	AUX
bracis-28430	53	10	the	the	DET
bracis-28430	53	11	most	most	ADV
bracis-28430	53	12	popular	popular	ADJ
bracis-28430	53	13	approach	approach	NOUN
bracis-28430	53	14	as	as	SCONJ
bracis-28430	53	15	it	it	PRON
bracis-28430	53	16	branches	branch	VERB
bracis-28430	53	17	over	over	ADP
bracis-28430	53	18	time	time	NOUN
bracis-28430	53	19	when	when	SCONJ
bracis-28430	53	20	statistically	statistically	ADV
bracis-28430	53	21	enough	enough	ADJ
bracis-28430	53	22	data	datum	NOUN
bracis-28430	53	23	(	(	PUNCT
bracis-28430	53	24	grace	grace	NOUN
bracis-28430	53	25	period	period	NOUN
bracis-28430	53	26	,	,	PUNCT
bracis-28430	53	27	\(n_{\min	\(n_{\min	VERB
bracis-28430	53	28	}	}	PUNCT
bracis-28430	53	29	\	\	NOUN
bracis-28430	53	30	)	)	PUNCT
bracis-28430	53	31	)	)	PUNCT
bracis-28430	54	1	and	and	CCONJ
bracis-28430	54	2	evidence	evidence	NOUN
bracis-28430	54	3	has	have	AUX
bracis-28430	54	4	been	be	AUX
bracis-28430	54	5	gathered	gather	VERB
bracis-28430	54	6	,	,	PUNCT
bracis-28430	54	7	according	accord	VERB
bracis-28430	54	8	to	to	ADP
bracis-28430	54	9	the	the	DET
bracis-28430	54	10	hoeffding	hoeffding	NOUN
bracis-28430	54	11	bound	bind	VERB
bracis-28430	54	12	[	[	PUNCT
bracis-28430	54	13	22	22	NUM
bracis-28430	54	14	]	]	PUNCT
bracis-28430	54	15	.	.	PUNCT
bracis-28430	55	1	the	the	DET
bracis-28430	55	2	very	very	ADV
bracis-28430	55	3	fast	fast	ADJ
bracis-28430	55	4	decision	decision	NOUN
bracis-28430	55	5	tree	tree	NOUN
bracis-28430	55	6	(	(	PUNCT
bracis-28430	55	7	vfdt	vfdt	NOUN
bracis-28430	55	8	)	)	PUNCT
bracis-28430	55	9	is	be	AUX
bracis-28430	55	10	a	a	DET
bracis-28430	55	11	popular	popular	ADJ
bracis-28430	55	12	implementation	implementation	NOUN
bracis-28430	55	13	of	of	ADP
bracis-28430	55	14	incremental	incremental	ADJ
bracis-28430	55	15	hoeffding	hoeffding	NOUN
bracis-28430	55	16	trees	tree	NOUN
bracis-28430	55	17	,	,	PUNCT
bracis-28430	55	18	meaning	mean	VERB
bracis-28430	55	19	that	that	SCONJ
bracis-28430	55	20	it	it	PRON
bracis-28430	55	21	continuously	continuously	ADV
bracis-28430	55	22	branches	branch	VERB
bracis-28430	55	23	as	as	SCONJ
bracis-28430	55	24	new	new	ADJ
bracis-28430	55	25	data	datum	NOUN
bracis-28430	55	26	becomes	become	VERB
bracis-28430	55	27	available	available	ADJ
bracis-28430	55	28	and	and	CCONJ
bracis-28430	55	29	does	do	AUX
bracis-28430	55	30	not	not	PART
bracis-28430	55	31	revisit	revisit	VERB
bracis-28430	55	32	the	the	DET
bracis-28430	55	33	quality	quality	NOUN
bracis-28430	55	34	of	of	ADP
bracis-28430	55	35	previously	previously	ADV
bracis-28430	55	36	created	create	VERB
bracis-28430	55	37	split	split	NOUN
bracis-28430	55	38	nodes	node	NOUN
bracis-28430	55	39	.	.	PUNCT
bracis-28430	56	1	in	in	ADP
bracis-28430	56	2	contrast	contrast	NOUN
bracis-28430	56	3	,	,	PUNCT
bracis-28430	56	4	the	the	DET
bracis-28430	56	5	characteristic	characteristic	NOUN
bracis-28430	56	6	of	of	ADP
bracis-28430	56	7	revisiting	revisit	VERB
bracis-28430	56	8	split	split	NOUN
bracis-28430	56	9	nodes	node	NOUN
bracis-28430	56	10	is	be	AUX
bracis-28430	56	11	observed	observe	VERB
bracis-28430	56	12	in	in	ADP
bracis-28430	56	13	hoeffding	hoeffde	VERB
bracis-28430	56	14	adaptive	adaptive	ADJ
bracis-28430	56	15	trees	tree	NOUN
bracis-28430	57	1	[	[	X
bracis-28430	57	2	4	4	NUM
bracis-28430	57	3	]	]	PUNCT
bracis-28430	57	4	,	,	PUNCT
bracis-28430	57	5	in	in	ADP
bracis-28430	57	6	which	which	PRON
bracis-28430	57	7	each	each	DET
bracis-28430	57	8	split	split	ADJ
bracis-28430	57	9	node	node	NOUN
bracis-28430	57	10	is	be	AUX
bracis-28430	57	11	coupled	couple	VERB
bracis-28430	57	12	with	with	ADP
bracis-28430	57	13	an	an	DET
bracis-28430	57	14	adwin	adwin	NOUN
bracis-28430	57	15	drift	drift	NOUN
bracis-28430	57	16	detector	detector	NOUN
bracis-28430	58	1	[	[	X
bracis-28430	58	2	3	3	NUM
bracis-28430	58	3	]	]	PUNCT
bracis-28430	58	4	.	.	PUNCT
bracis-28430	59	1	whenever	whenever	SCONJ
bracis-28430	59	2	a	a	DET
bracis-28430	59	3	drift	drift	NOUN
bracis-28430	59	4	is	be	AUX
bracis-28430	59	5	flagged	flag	VERB
bracis-28430	59	6	,	,	PUNCT
bracis-28430	59	7	the	the	DET
bracis-28430	59	8	corresponding	corresponding	ADJ
bracis-28430	59	9	split	split	NOUN
bracis-28430	59	10	node	node	NOUN
bracis-28430	59	11	is	be	AUX
bracis-28430	59	12	replaced	replace	VERB
bracis-28430	59	13	by	by	ADP
bracis-28430	59	14	a	a	DET
bracis-28430	59	15	leaf	leaf	NOUN
bracis-28430	59	16	node	node	NOUN
bracis-28430	59	17	,	,	PUNCT
bracis-28430	59	18	which	which	PRON
bracis-28430	59	19	can	can	AUX
bracis-28430	59	20	branch	branch	VERB
bracis-28430	59	21	again	again	ADV
bracis-28430	59	22	if	if	SCONJ
bracis-28430	59	23	the	the	DET
bracis-28430	59	24	hoeffding	hoeffding	NOUN
bracis-28430	59	25	inequality	inequality	NOUN
bracis-28430	59	26	is	be	AUX
bracis-28430	59	27	met	meet	VERB
bracis-28430	59	28	.	.	PUNCT
bracis-28430	60	1	even	even	ADV
bracis-28430	60	2	though	though	SCONJ
bracis-28430	60	3	hoeffding	hoeffde	VERB
bracis-28430	60	4	adaptive	adaptive	ADJ
bracis-28430	60	5	trees	tree	NOUN
bracis-28430	60	6	significantly	significantly	ADV
bracis-28430	60	7	improve	improve	VERB
bracis-28430	60	8	accuracy	accuracy	NOUN
bracis-28430	60	9	rates	rate	NOUN
bracis-28430	60	10	compared	compare	VERB
bracis-28430	60	11	to	to	ADP
bracis-28430	60	12	incremental	incremental	ADJ
bracis-28430	60	13	trees	tree	NOUN
bracis-28430	60	14	,	,	PUNCT
bracis-28430	60	15	even	even	ADV
bracis-28430	60	16	better	well	ADJ
bracis-28430	60	17	results	result	NOUN
bracis-28430	60	18	are	be	AUX
bracis-28430	60	19	obtained	obtain	VERB
bracis-28430	60	20	when	when	SCONJ
bracis-28430	60	21	creating	create	VERB
bracis-28430	60	22	ensembles	ensemble	NOUN
bracis-28430	60	23	of	of	ADP
bracis-28430	60	24	hoeffding	hoeffding	NOUN
bracis-28430	60	25	trees	tree	NOUN
bracis-28430	60	26	.	.	PUNCT
bracis-28430	61	1	a	a	DET
bracis-28430	61	2	state	state	NOUN
bracis-28430	61	3	-	-	PUNCT
bracis-28430	61	4	of	of	ADP
bracis-28430	61	5	-	-	PUNCT
bracis-28430	61	6	the	the	DET
bracis-28430	61	7	-	-	PUNCT
bracis-28430	61	8	art	art	NOUN
bracis-28430	61	9	exemplar	exemplar	NOUN
bracis-28430	61	10	of	of	ADP
bracis-28430	61	11	ensembles	ensemble	NOUN
bracis-28430	61	12	of	of	ADP
bracis-28430	61	13	hoeffding	hoeffding	NOUN
bracis-28430	61	14	trees	tree	NOUN
bracis-28430	61	15	is	be	AUX
bracis-28430	61	16	the	the	DET
bracis-28430	61	17	adaptive	adaptive	ADJ
bracis-28430	61	18	random	random	ADJ
bracis-28430	61	19	forest	forest	NOUN
bracis-28430	61	20	(	(	PUNCT
bracis-28430	61	21	arf	arf	NOUN
bracis-28430	61	22	)	)	PUNCT
bracis-28430	62	1	[	[	X
bracis-28430	62	2	19	19	NUM
bracis-28430	62	3	]	]	PUNCT
bracis-28430	62	4	,	,	PUNCT
bracis-28430	62	5	in	in	ADP
bracis-28430	62	6	which	which	PRON
bracis-28430	62	7	randomized	randomize	VERB
bracis-28430	62	8	hoeffding	hoeffding	NOUN
bracis-28430	62	9	trees	tree	NOUN
bracis-28430	62	10	are	be	AUX
bracis-28430	62	11	trained	train	VERB
bracis-28430	62	12	in	in	ADP
bracis-28430	62	13	parallel	parallel	NOUN
bracis-28430	62	14	and	and	CCONJ
bracis-28430	62	15	coupled	couple	VERB
bracis-28430	62	16	with	with	ADP
bracis-28430	62	17	drift	drift	NOUN
bracis-28430	62	18	detectors	detector	NOUN
bracis-28430	62	19	to	to	PART
bracis-28430	62	20	identify	identify	VERB
bracis-28430	62	21	and	and	CCONJ
bracis-28430	62	22	adapt	adapt	VERB
bracis-28430	62	23	to	to	PART
bracis-28430	62	24	concept	concept	NOUN
bracis-28430	62	25	drifts	drift	NOUN
bracis-28430	62	26	rapidly	rapidly	ADV
bracis-28430	62	27	.	.	PUNCT
bracis-28430	63	1	arf	arf	NOUN
bracis-28430	63	2	adjusts	adjust	VERB
bracis-28430	63	3	the	the	DET
bracis-28430	63	4	sampling	sampling	NOUN
bracis-28430	63	5	process	process	NOUN
bracis-28430	63	6	with	with	ADP
bracis-28430	63	7	poisson(\(\lambda	poisson(\(\lambda	PROPN
bracis-28430	63	8	=	=	NOUN
bracis-28430	63	9	6\	6\	NOUN
bracis-28430	63	10	)	)	PUNCT
bracis-28430	63	11	)	)	PUNCT
bracis-28430	64	1	so	so	SCONJ
bracis-28430	64	2	that	that	SCONJ
bracis-28430	64	3	instances	instance	NOUN
bracis-28430	64	4	have	have	VERB
bracis-28430	64	5	higher	high	ADJ
bracis-28430	64	6	chances	chance	NOUN
bracis-28430	64	7	of	of	ADP
bracis-28430	64	8	being	be	AUX
bracis-28430	64	9	used	use	VERB
bracis-28430	64	10	during	during	ADP
bracis-28430	64	11	training	training	NOUN
bracis-28430	64	12	,	,	PUNCT
bracis-28430	64	13	thus	thus	ADV
bracis-28430	64	14	speeding	speed	VERB
bracis-28430	64	15	up	up	ADP
bracis-28430	64	16	the	the	DET
bracis-28430	64	17	drift	drift	NOUN
bracis-28430	64	18	adaptation	adaptation	NOUN
bracis-28430	64	19	process	process	NOUN
bracis-28430	64	20	.	.	PUNCT
bracis-28430	65	1	in	in	ADP
bracis-28430	65	2	the	the	DET
bracis-28430	65	3	test	test	NOUN
bracis-28430	65	4	step	step	NOUN
bracis-28430	65	5	,	,	PUNCT
bracis-28430	65	6	classifiers	classifier	NOUN
bracis-28430	65	7	’	’	PART
bracis-28430	65	8	votes	vote	NOUN
bracis-28430	65	9	are	be	AUX
bracis-28430	65	10	combined	combine	VERB
bracis-28430	65	11	using	use	VERB
bracis-28430	65	12	weighted	weight	VERB
bracis-28430	65	13	majority	majority	NOUN
bracis-28430	65	14	voting	voting	NOUN
bracis-28430	65	15	,	,	PUNCT
bracis-28430	65	16	i.e.	i.e.	X
bracis-28430	65	17	,	,	PUNCT
bracis-28430	65	18	classifiers	classifier	NOUN
bracis-28430	65	19	with	with	ADP
bracis-28430	65	20	higher	high	ADJ
bracis-28430	65	21	accuracy	accuracy	NOUN
bracis-28430	65	22	have	have	VERB
bracis-28430	65	23	a	a	DET
bracis-28430	65	24	higher	high	ADJ
bracis-28430	65	25	impact	impact	NOUN
bracis-28430	65	26	on	on	ADP
bracis-28430	65	27	the	the	DET
bracis-28430	65	28	final	final	ADJ
bracis-28430	65	29	prediction	prediction	NOUN
bracis-28430	65	30	.	.	PUNCT
bracis-28430	66	1	consequently	consequently	ADV
bracis-28430	66	2	,	,	PUNCT
bracis-28430	66	3	arf	arf	PROPN
bracis-28430	66	4	is	be	AUX
bracis-28430	66	5	a	a	DET
bracis-28430	66	6	strong	strong	ADJ
bracis-28430	66	7	learner	learner	NOUN
bracis-28430	66	8	that	that	PRON
bracis-28430	66	9	achieves	achieve	VERB
bracis-28430	66	10	state	state	NOUN
bracis-28430	66	11	-	-	PUNCT
bracis-28430	66	12	of	of	ADP
bracis-28430	66	13	-	-	PUNCT
bracis-28430	66	14	the	the	DET
bracis-28430	66	15	-	-	PUNCT
bracis-28430	66	16	art	art	NOUN
bracis-28430	66	17	results	result	NOUN
bracis-28430	66	18	in	in	ADP
bracis-28430	66	19	terms	term	NOUN
bracis-28430	66	20	of	of	ADP
bracis-28430	66	21	accuracy	accuracy	NOUN
bracis-28430	66	22	,	,	PUNCT
bracis-28430	66	23	yet	yet	ADV
bracis-28430	66	24	,	,	PUNCT
bracis-28430	66	25	at	at	ADP
bracis-28430	66	26	the	the	DET
bracis-28430	66	27	high	high	ADJ
bracis-28430	66	28	expense	expense	NOUN
bracis-28430	66	29	of	of	ADP
bracis-28430	66	30	computational	computational	ADJ
bracis-28430	66	31	resources	resource	NOUN
bracis-28430	66	32	.	.	PUNCT
bracis-28430	67	1	2.2	2.2	NUM
bracis-28430	67	2	requirements	requirement	NOUN
bracis-28430	67	3	throughout	throughout	ADP
bracis-28430	67	4	the	the	DET
bracis-28430	67	5	training	training	NOUN
bracis-28430	67	6	and	and	CCONJ
bracis-28430	67	7	test	test	NOUN
bracis-28430	67	8	steps	step	NOUN
bracis-28430	67	9	of	of	ADP
bracis-28430	67	10	data	datum	NOUN
bracis-28430	67	11	stream	stream	NOUN
bracis-28430	67	12	classification	classification	NOUN
bracis-28430	67	13	,	,	PUNCT
bracis-28430	67	14	streaming	streaming	NOUN
bracis-28430	67	15	classifiers	classifier	NOUN
bracis-28430	67	16	must	must	AUX
bracis-28430	67	17	meet	meet	VERB
bracis-28430	67	18	certain	certain	ADJ
bracis-28430	67	19	requirements	requirement	NOUN
bracis-28430	67	20	[	[	X
bracis-28430	67	21	5	5	NUM
bracis-28430	67	22	,	,	PUNCT
bracis-28430	67	23	6	6	NUM
bracis-28430	67	24	]	]	NOUN
bracis-28430	67	25	:	:	PUNCT
bracis-28430	67	26	requirement	requirement	NOUN
bracis-28430	67	27	#	#	SYM
bracis-28430	67	28	1	1	NUM
bracis-28430	67	29	:	:	PUNCT
bracis-28430	67	30	process	process	VERB
bracis-28430	67	31	an	an	DET
bracis-28430	67	32	example	example	NOUN
bracis-28430	67	33	at	at	ADP
bracis-28430	67	34	a	a	DET
bracis-28430	67	35	time	time	NOUN
bracis-28430	67	36	,	,	PUNCT
bracis-28430	67	37	and	and	CCONJ
bracis-28430	67	38	inspect	inspect	VERB
bracis-28430	67	39	it	it	PRON
bracis-28430	67	40	only	only	ADV
bracis-28430	67	41	once	once	ADV
bracis-28430	67	42	(	(	PUNCT
bracis-28430	67	43	at	at	ADP
bracis-28430	67	44	most	most	ADV
bracis-28430	67	45	)	)	PUNCT
bracis-28430	67	46	;	;	PUNCT
bracis-28430	67	47	requirement	requirement	NOUN
bracis-28430	67	48	#	#	SYM
bracis-28430	67	49	2	2	NUM
bracis-28430	67	50	:	:	PUNCT
bracis-28430	67	51	use	use	VERB
bracis-28430	67	52	a	a	DET
bracis-28430	67	53	limited	limited	ADJ
bracis-28430	67	54	amount	amount	NOUN
bracis-28430	67	55	of	of	ADP
bracis-28430	67	56	memory	memory	NOUN
bracis-28430	67	57	;	;	PUNCT
bracis-28430	67	58	requirement	requirement	NOUN
bracis-28430	67	59	#	#	SYM
bracis-28430	67	60	3	3	NUM
bracis-28430	67	61	:	:	PUNCT
bracis-28430	67	62	work	work	NOUN
bracis-28430	67	63	in	in	ADP
bracis-28430	67	64	a	a	DET
bracis-28430	67	65	limited	limited	ADJ
bracis-28430	67	66	amount	amount	NOUN
bracis-28430	67	67	of	of	ADP
bracis-28430	67	68	time	time	NOUN
bracis-28430	67	69	;	;	PUNCT
bracis-28430	67	70	requirement	requirement	NOUN
bracis-28430	67	71	#	#	SYM
bracis-28430	67	72	4	4	NUM
bracis-28430	67	73	:	:	PUNCT
bracis-28430	67	74	be	be	AUX
bracis-28430	67	75	ready	ready	ADJ
bracis-28430	67	76	to	to	PART
bracis-28430	67	77	predict	predict	VERB
bracis-28430	67	78	at	at	ADP
bracis-28430	67	79	any	any	DET
bracis-28430	67	80	point	point	NOUN
bracis-28430	67	81	;	;	PUNCT
bracis-28430	67	82	and	and	CCONJ
bracis-28430	67	83	requirement	requirement	NOUN
bracis-28430	67	84	#	#	SYM
bracis-28430	67	85	5	5	NUM
bracis-28430	67	86	:	:	PUNCT
bracis-28430	67	87	detect	detect	VERB
bracis-28430	67	88	and	and	CCONJ
bracis-28430	67	89	adapt	adapt	VERB
bracis-28430	67	90	to	to	ADP
bracis-28430	67	91	concept	concept	NOUN
bracis-28430	67	92	drifts	drift	NOUN
bracis-28430	67	93	.	.	PUNCT
bracis-28430	68	1	this	this	DET
bracis-28430	68	2	list	list	NOUN
bracis-28430	68	3	has	have	AUX
bracis-28430	68	4	been	be	AUX
bracis-28430	68	5	incremented	incremente	VERB
bracis-28430	68	6	in	in	ADP
bracis-28430	68	7	the	the	DET
bracis-28430	68	8	works	work	NOUN
bracis-28430	68	9	of	of	ADP
bracis-28430	68	10	garcía	garcía	ADJ
bracis-28430	68	11	-	-	PUNCT
bracis-28430	68	12	martín	martín	NOUN
bracis-28430	68	13	[	[	X
bracis-28430	68	14	13	13	NUM
bracis-28430	68	15	,	,	PUNCT
bracis-28430	68	16	14	14	NUM
bracis-28430	68	17	,	,	PUNCT
bracis-28430	68	18	17	17	NUM
bracis-28430	68	19	]	]	PUNCT
bracis-28430	68	20	,	,	PUNCT
bracis-28430	68	21	in	in	ADP
bracis-28430	68	22	which	which	PRON
bracis-28430	68	23	energy	energy	NOUN
bracis-28430	68	24	consumption	consumption	NOUN
bracis-28430	68	25	is	be	AUX
bracis-28430	68	26	highlighted	highlight	VERB
bracis-28430	68	27	as	as	ADP
bracis-28430	68	28	a	a	DET
bracis-28430	68	29	relevant	relevant	ADJ
bracis-28430	68	30	aspect	aspect	NOUN
bracis-28430	68	31	in	in	ADP
bracis-28430	68	32	data	datum	NOUN
bracis-28430	68	33	stream	stream	NOUN
bracis-28430	68	34	mining	mining	NOUN
bracis-28430	68	35	since	since	SCONJ
bracis-28430	68	36	several	several	ADJ
bracis-28430	68	37	classifiers	classifier	NOUN
bracis-28430	68	38	have	have	AUX
bracis-28430	68	39	been	be	AUX
bracis-28430	68	40	tailored	tailor	VERB
bracis-28430	68	41	focusing	focus	VERB
bracis-28430	68	42	solely	solely	ADV
bracis-28430	68	43	on	on	ADP
bracis-28430	68	44	accuracy	accuracy	NOUN
bracis-28430	68	45	and	and	CCONJ
bracis-28430	68	46	overlooking	overlook	VERB
bracis-28430	68	47	sustainability	sustainability	NOUN
bracis-28430	68	48	.	.	PUNCT
bracis-28430	69	1	this	this	PRON
bracis-28430	69	2	is	be	AUX
bracis-28430	69	3	one	one	NUM
bracis-28430	69	4	of	of	ADP
bracis-28430	69	5	the	the	DET
bracis-28430	69	6	main	main	ADJ
bracis-28430	69	7	drivers	driver	NOUN
bracis-28430	69	8	of	of	ADP
bracis-28430	69	9	our	our	PRON
bracis-28430	69	10	work	work	NOUN
bracis-28430	69	11	,	,	PUNCT
bracis-28430	69	12	i.e.	i.e.	X
bracis-28430	69	13	,	,	PUNCT
bracis-28430	69	14	to	to	PART
bracis-28430	69	15	allow	allow	VERB
bracis-28430	69	16	researchers	researcher	NOUN
bracis-28430	69	17	and	and	CCONJ
bracis-28430	69	18	practitioners	practitioner	NOUN
bracis-28430	69	19	to	to	PART
bracis-28430	69	20	quantify	quantify	VERB
bracis-28430	69	21	the	the	DET
bracis-28430	69	22	energy	energy	NOUN
bracis-28430	69	23	consumption	consumption	NOUN
bracis-28430	69	24	of	of	ADP
bracis-28430	69	25	data	datum	NOUN
bracis-28430	69	26	stream	stream	NOUN
bracis-28430	69	27	classifiers	classifier	NOUN
bracis-28430	69	28	and	and	CCONJ
bracis-28430	69	29	determine	determine	NOUN
bracis-28430	69	30	under	under	ADP
bracis-28430	69	31	which	which	DET
bracis-28430	69	32	conditions	condition	NOUN
bracis-28430	69	33	they	they	PRON
bracis-28430	69	34	fail	fail	VERB
bracis-28430	69	35	to	to	PART
bracis-28430	69	36	meet	meet	VERB
bracis-28430	69	37	energy	energy	NOUN
bracis-28430	69	38	sustainability	sustainability	NOUN
bracis-28430	69	39	criteria	criterion	NOUN
bracis-28430	69	40	.	.	PUNCT
bracis-28430	70	1	3	3	NUM
bracis-28430	70	2	related	relate	VERB
bracis-28430	70	3	works	work	NOUN
bracis-28430	70	4	over	over	ADP
bracis-28430	70	5	the	the	DET
bracis-28430	70	6	years	year	NOUN
bracis-28430	70	7	,	,	PUNCT
bracis-28430	70	8	different	different	ADJ
bracis-28430	70	9	approaches	approach	NOUN
bracis-28430	70	10	to	to	ADP
bracis-28430	70	11	measuring	measure	VERB
bracis-28430	70	12	energy	energy	NOUN
bracis-28430	70	13	consumption	consumption	NOUN
bracis-28430	70	14	have	have	AUX
bracis-28430	70	15	been	be	AUX
bracis-28430	70	16	proposed	propose	VERB
bracis-28430	70	17	.	.	PUNCT
bracis-28430	71	1	this	this	DET
bracis-28430	71	2	section	section	NOUN
bracis-28430	71	3	highlights	highlight	NOUN
bracis-28430	71	4	approaches	approach	NOUN
bracis-28430	71	5	for	for	ADP
bracis-28430	71	6	measuring	measure	VERB
bracis-28430	71	7	energy	energy	NOUN
bracis-28430	71	8	consumption	consumption	NOUN
bracis-28430	71	9	in	in	ADP
bracis-28430	71	10	data	datum	NOUN
bracis-28430	71	11	stream	stream	NOUN
bracis-28430	71	12	mining	mining	NOUN
bracis-28430	71	13	and	and	CCONJ
bracis-28430	71	14	decreasing	decrease	VERB
bracis-28430	71	15	energy	energy	NOUN
bracis-28430	71	16	usage	usage	NOUN
bracis-28430	71	17	.	.	PUNCT
bracis-28430	72	1	a	a	DET
bracis-28430	72	2	first	first	ADJ
bracis-28430	72	3	significant	significant	ADJ
bracis-28430	72	4	study	study	NOUN
bracis-28430	72	5	is	be	AUX
bracis-28430	72	6	[	[	X
bracis-28430	72	7	16	16	NUM
bracis-28430	72	8	]	]	PUNCT
bracis-28430	72	9	,	,	PUNCT
bracis-28430	72	10	in	in	ADP
bracis-28430	72	11	which	which	PRON
bracis-28430	72	12	authors	author	NOUN
bracis-28430	72	13	used	use	VERB
bracis-28430	72	14	powerapi	powerapi	NOUN
bracis-28430	72	15	[	[	X
bracis-28430	72	16	30	30	NUM
bracis-28430	72	17	]	]	PUNCT
bracis-28430	72	18	to	to	PART
bracis-28430	72	19	quantify	quantify	VERB
bracis-28430	72	20	the	the	DET
bracis-28430	72	21	energy	energy	NOUN
bracis-28430	72	22	consumption	consumption	NOUN
bracis-28430	72	23	of	of	ADP
bracis-28430	72	24	hoeffding	hoeffding	NOUN
bracis-28430	72	25	trees	tree	NOUN
bracis-28430	72	26	despite	despite	SCONJ
bracis-28430	72	27	acknowledging	acknowledge	VERB
bracis-28430	72	28	that	that	SCONJ
bracis-28430	72	29	it	it	PRON
bracis-28430	72	30	overlooks	overlook	VERB
bracis-28430	72	31	ram	ram	NOUN
bracis-28430	72	32	consumption	consumption	NOUN
bracis-28430	72	33	.	.	PUNCT
bracis-28430	73	1	the	the	DET
bracis-28430	73	2	same	same	ADJ
bracis-28430	73	3	authors	author	NOUN
bracis-28430	73	4	have	have	AUX
bracis-28430	73	5	changed	change	VERB
bracis-28430	73	6	their	their	PRON
bracis-28430	73	7	approach	approach	NOUN
bracis-28430	73	8	in	in	ADP
bracis-28430	73	9	[	[	X
bracis-28430	73	10	15	15	NUM
bracis-28430	73	11	]	]	PUNCT
bracis-28430	73	12	,	,	PUNCT
bracis-28430	73	13	in	in	ADP
bracis-28430	73	14	which	which	PRON
bracis-28430	73	15	jalen	jalen	AUX
bracis-28430	73	16	(	(	PUNCT
bracis-28430	73	17	now	now	ADV
bracis-28430	73	18	called	call	VERB
bracis-28430	73	19	jourlarx	jourlarx	NOUN
bracis-28430	73	20	)	)	PUNCT
bracis-28430	74	1	[	[	X
bracis-28430	74	2	26	26	NUM
bracis-28430	74	3	]	]	PUNCT
bracis-28430	74	4	has	have	AUX
bracis-28430	74	5	been	be	AUX
bracis-28430	74	6	used	use	VERB
bracis-28430	74	7	to	to	PART
bracis-28430	74	8	quantify	quantify	VERB
bracis-28430	74	9	energy	energy	NOUN
bracis-28430	74	10	consumption	consumption	NOUN
bracis-28430	74	11	of	of	ADP
bracis-28430	74	12	hoeffding	hoeffding	NOUN
bracis-28430	74	13	trees	tree	NOUN
bracis-28430	74	14	on	on	ADP
bracis-28430	74	15	a	a	DET
bracis-28430	74	16	function	function	NOUN
bracis-28430	74	17	-	-	PUNCT
bracis-28430	74	18	basis	basis	NOUN
bracis-28430	74	19	.	.	PUNCT
bracis-28430	75	1	this	this	PRON
bracis-28430	75	2	allowed	allow	VERB
bracis-28430	75	3	the	the	DET
bracis-28430	75	4	authors	author	NOUN
bracis-28430	75	5	to	to	PART
bracis-28430	75	6	identify	identify	VERB
bracis-28430	75	7	bottlenecks	bottleneck	NOUN
bracis-28430	75	8	in	in	ADP
bracis-28430	75	9	the	the	DET
bracis-28430	75	10	existing	exist	VERB
bracis-28430	75	11	hoeffding	hoeffding	NOUN
bracis-28430	75	12	tree	tree	NOUN
bracis-28430	75	13	implementation	implementation	NOUN
bracis-28430	75	14	available	available	ADJ
bracis-28430	75	15	in	in	ADP
bracis-28430	75	16	moa	moa	NOUN
bracis-28430	75	17	.	.	PUNCT
bracis-28430	76	1	finally	finally	ADV
bracis-28430	76	2	,	,	PUNCT
bracis-28430	76	3	authors	author	NOUN
bracis-28430	76	4	in	in	ADP
bracis-28430	76	5	[	[	X
bracis-28430	76	6	13	13	NUM
bracis-28430	76	7	]	]	PUNCT
bracis-28430	76	8	and	and	CCONJ
bracis-28430	76	9	[	[	X
bracis-28430	76	10	14	14	NUM
bracis-28430	76	11	]	]	PUNCT
bracis-28430	76	12	have	have	AUX
bracis-28430	76	13	used	use	VERB
bracis-28430	76	14	intel	intel	PROPN
bracis-28430	76	15	’s	’s	PART
bracis-28430	76	16	rapl	rapl	NOUN
bracis-28430	77	1	[	[	X
bracis-28430	77	2	7	7	X
bracis-28430	77	3	]	]	PUNCT
bracis-28430	77	4	to	to	PART
bracis-28430	77	5	quantify	quantify	VERB
bracis-28430	77	6	the	the	DET
bracis-28430	77	7	energy	energy	NOUN
bracis-28430	77	8	consumed	consume	VERB
bracis-28430	77	9	by	by	ADP
bracis-28430	77	10	the	the	DET
bracis-28430	77	11	dram	dram	PROPN
bracis-28430	77	12	and	and	CCONJ
bracis-28430	77	13	the	the	DET
bracis-28430	77	14	processor	processor	NOUN
bracis-28430	77	15	based	base	VERB
bracis-28430	77	16	on	on	ADP
bracis-28430	77	17	accesses	access	NOUN
bracis-28430	77	18	to	to	ADP
bracis-28430	77	19	the	the	DET
bracis-28430	77	20	processor	processor	NOUN
bracis-28430	77	21	performance	performance	NOUN
bracis-28430	77	22	counters	counter	NOUN
bracis-28430	77	23	.	.	PUNCT
bracis-28430	78	1	even	even	ADV
bracis-28430	78	2	though	though	SCONJ
bracis-28430	78	3	intel	intel	PROPN
bracis-28430	78	4	’s	’s	PART
bracis-28430	78	5	rapl	rapl	PROPN
bracis-28430	78	6	code	code	VERB
bracis-28430	78	7	is	be	AUX
bracis-28430	78	8	not	not	PART
bracis-28430	78	9	available	available	ADJ
bracis-28430	78	10	,	,	PUNCT
bracis-28430	78	11	authors	author	NOUN
bracis-28430	78	12	disclose	disclose	VERB
bracis-28430	78	13	that	that	SCONJ
bracis-28430	78	14	its	its	PRON
bracis-28430	78	15	accuracy	accuracy	NOUN
bracis-28430	78	16	has	have	AUX
bracis-28430	78	17	been	be	AUX
bracis-28430	78	18	checked	check	VERB
bracis-28430	78	19	in	in	ADP
bracis-28430	78	20	[	[	X
bracis-28430	78	21	21	21	NUM
bracis-28430	78	22	]	]	PUNCT
bracis-28430	78	23	and	and	CCONJ
bracis-28430	78	24	that	that	SCONJ
bracis-28430	78	25	it	it	PRON
bracis-28430	78	26	does	do	AUX
bracis-28430	78	27	not	not	PART
bracis-28430	78	28	introduce	introduce	VERB
bracis-28430	78	29	processing	processing	NOUN
bracis-28430	78	30	overheads	overhead	NOUN
bracis-28430	78	31	.	.	PUNCT
bracis-28430	79	1	it	it	PRON
bracis-28430	79	2	is	be	AUX
bracis-28430	79	3	also	also	ADV
bracis-28430	79	4	relevant	relevant	ADJ
bracis-28430	79	5	to	to	PART
bracis-28430	79	6	highlight	highlight	VERB
bracis-28430	79	7	that	that	SCONJ
bracis-28430	79	8	the	the	DET
bracis-28430	79	9	work	work	NOUN
bracis-28430	79	10	of	of	ADP
bracis-28430	79	11	[	[	X
bracis-28430	79	12	14	14	NUM
bracis-28430	79	13	]	]	PUNCT
bracis-28430	79	14	introduces	introduce	VERB
bracis-28430	79	15	a	a	DET
bracis-28430	79	16	hoeffding	hoeffding	NOUN
bracis-28430	79	17	tree	tree	NOUN
bracis-28430	79	18	variant	variant	NOUN
bracis-28430	79	19	in	in	ADP
bracis-28430	79	20	which	which	PRON
bracis-28430	79	21	the	the	DET
bracis-28430	79	22	grace	grace	NOUN
bracis-28430	79	23	period	period	NOUN
bracis-28430	79	24	(	(	PUNCT
bracis-28430	79	25	\(n_{\min	\(n_{\min	X
bracis-28430	79	26	}	}	PUNCT
bracis-28430	79	27	\	\	NOUN
bracis-28430	79	28	)	)	PUNCT
bracis-28430	79	29	)	)	PUNCT
bracis-28430	79	30	is	be	AUX
bracis-28430	79	31	adjusted	adjust	VERB
bracis-28430	79	32	so	so	SCONJ
bracis-28430	79	33	that	that	SCONJ
bracis-28430	79	34	branching	branching	NOUN
bracis-28430	79	35	is	be	AUX
bracis-28430	79	36	only	only	ADV
bracis-28430	79	37	attempted	attempt	VERB
bracis-28430	79	38	according	accord	VERB
bracis-28430	79	39	to	to	ADP
bracis-28430	79	40	a	a	DET
bracis-28430	79	41	user	user	NOUN
bracis-28430	79	42	-	-	PUNCT
bracis-28430	79	43	given	give	VERB
bracis-28430	79	44	threshold	threshold	NOUN
bracis-28430	79	45	.	.	PUNCT
bracis-28430	80	1	the	the	DET
bracis-28430	80	2	results	result	NOUN
bracis-28430	80	3	showed	show	VERB
bracis-28430	80	4	that	that	SCONJ
bracis-28430	80	5	the	the	DET
bracis-28430	80	6	proposed	propose	VERB
bracis-28430	80	7	hoeffding	hoeffding	NOUN
bracis-28430	80	8	tree	tree	NOUN
bracis-28430	80	9	variant	variant	NOUN
bracis-28430	80	10	has	have	VERB
bracis-28430	80	11	accuracy	accuracy	NOUN
bracis-28430	80	12	convergence	convergence	NOUN
bracis-28430	80	13	while	while	SCONJ
bracis-28430	80	14	approximately	approximately	ADV
bracis-28430	80	15	65	65	NUM
bracis-28430	80	16	%	%	NOUN
bracis-28430	80	17	less	less	ADJ
bracis-28430	80	18	energy	energy	NOUN
bracis-28430	80	19	consumption	consumption	NOUN
bracis-28430	80	20	rates	rate	NOUN
bracis-28430	80	21	.	.	PUNCT
bracis-28430	81	1	on	on	ADP
bracis-28430	81	2	the	the	DET
bracis-28430	81	3	other	other	ADJ
bracis-28430	81	4	hand	hand	NOUN
bracis-28430	81	5	,	,	PUNCT
bracis-28430	81	6	the	the	DET
bracis-28430	81	7	work	work	NOUN
bracis-28430	81	8	of	of	ADP
bracis-28430	81	9	[	[	X
bracis-28430	81	10	13	13	NUM
bracis-28430	81	11	]	]	PUNCT
bracis-28430	81	12	introduces	introduce	VERB
bracis-28430	81	13	a	a	DET
bracis-28430	81	14	framework	framework	NOUN
bracis-28430	81	15	to	to	PART
bracis-28430	81	16	quantify	quantify	VERB
bracis-28430	81	17	the	the	DET
bracis-28430	81	18	energy	energy	NOUN
bracis-28430	81	19	consumption	consumption	NOUN
bracis-28430	81	20	of	of	ADP
bracis-28430	81	21	hoeffding	hoeffding	NOUN
bracis-28430	81	22	tree	tree	NOUN
bracis-28430	81	23	ensembles	ensemble	NOUN
bracis-28430	81	24	while	while	SCONJ
bracis-28430	81	25	accounting	account	VERB
bracis-28430	81	26	for	for	ADP
bracis-28430	81	27	decision	decision	NOUN
bracis-28430	81	28	tree	tree	NOUN
bracis-28430	81	29	learning	learning	NOUN
bracis-28430	81	30	,	,	PUNCT
bracis-28430	81	31	drift	drift	NOUN
bracis-28430	81	32	detectors	detector	NOUN
bracis-28430	81	33	,	,	PUNCT
bracis-28430	81	34	and	and	CCONJ
bracis-28430	81	35	tree	tree	NOUN
bracis-28430	81	36	replacement	replacement	NOUN
bracis-28430	81	37	.	.	PUNCT
bracis-28430	82	1	regarding	regard	VERB
bracis-28430	82	2	all	all	PRON
bracis-28430	82	3	of	of	ADP
bracis-28430	82	4	the	the	DET
bracis-28430	82	5	works	work	NOUN
bracis-28430	82	6	mentioned	mention	VERB
bracis-28430	82	7	above	above	ADV
bracis-28430	82	8	,	,	PUNCT
bracis-28430	82	9	a	a	DET
bracis-28430	82	10	significant	significant	ADJ
bracis-28430	82	11	drawback	drawback	NOUN
bracis-28430	82	12	is	be	AUX
bracis-28430	82	13	that	that	SCONJ
bracis-28430	82	14	energy	energy	NOUN
bracis-28430	82	15	consumption	consumption	NOUN
bracis-28430	82	16	has	have	AUX
bracis-28430	82	17	been	be	AUX
bracis-28430	82	18	tackled	tackle	VERB
bracis-28430	82	19	solely	solely	ADV
bracis-28430	82	20	for	for	ADP
bracis-28430	82	21	hoeffding	hoeffding	NOUN
bracis-28430	82	22	trees	tree	NOUN
bracis-28430	82	23	,	,	PUNCT
bracis-28430	82	24	and	and	CCONJ
bracis-28430	82	25	no	no	DET
bracis-28430	82	26	general	general	ADJ
bracis-28430	82	27	open	open	ADJ
bracis-28430	82	28	-	-	PUNCT
bracis-28430	82	29	source	source	NOUN
bracis-28430	82	30	tool	tool	NOUN
bracis-28430	82	31	makes	make	VERB
bracis-28430	82	32	energy	energy	NOUN
bracis-28430	82	33	consumption	consumption	NOUN
bracis-28430	82	34	is	be	AUX
bracis-28430	82	35	easily	easily	ADV
bracis-28430	82	36	available	available	ADJ
bracis-28430	82	37	for	for	ADP
bracis-28430	82	38	researchers	researcher	NOUN
bracis-28430	82	39	and	and	CCONJ
bracis-28430	82	40	practitioners	practitioner	NOUN
bracis-28430	82	41	.	.	PUNCT
bracis-28430	83	1	our	our	PRON
bracis-28430	83	2	proposal	proposal	NOUN
bracis-28430	83	3	is	be	AUX
bracis-28430	83	4	brought	bring	VERB
bracis-28430	83	5	forward	forward	ADV
bracis-28430	83	6	in	in	ADP
bracis-28430	83	7	the	the	DET
bracis-28430	83	8	next	next	ADJ
bracis-28430	83	9	section	section	NOUN
bracis-28430	83	10	,	,	PUNCT
bracis-28430	83	11	and	and	CCONJ
bracis-28430	83	12	it	it	PRON
bracis-28430	83	13	circumvents	circumvent	VERB
bracis-28430	83	14	such	such	ADJ
bracis-28430	83	15	problems	problem	NOUN
bracis-28430	83	16	.	.	PUNCT
bracis-28430	84	1	4	4	NUM
bracis-28430	84	2	proposal	proposal	NOUN
bracis-28430	84	3	in	in	ADP
bracis-28430	84	4	this	this	DET
bracis-28430	84	5	section	section	NOUN
bracis-28430	84	6	,	,	PUNCT
bracis-28430	84	7	we	we	PRON
bracis-28430	84	8	detail	detail	VERB
bracis-28430	84	9	our	our	PRON
bracis-28430	84	10	tool	tool	NOUN
bracis-28430	84	11	to	to	PART
bracis-28430	84	12	quantify	quantify	VERB
bracis-28430	84	13	the	the	DET
bracis-28430	84	14	energy	energy	NOUN
bracis-28430	84	15	consumption	consumption	NOUN
bracis-28430	84	16	of	of	ADP
bracis-28430	84	17	data	datum	NOUN
bracis-28430	84	18	stream	stream	NOUN
bracis-28430	84	19	mining	mining	NOUN
bracis-28430	84	20	algorithms	algorithm	NOUN
bracis-28430	84	21	.	.	PUNCT
bracis-28430	85	1	our	our	PRON
bracis-28430	85	2	tool	tool	NOUN
bracis-28430	85	3	is	be	AUX
bracis-28430	85	4	embedded	embed	VERB
bracis-28430	85	5	within	within	ADP
bracis-28430	85	6	the	the	DET
bracis-28430	85	7	massive	massive	ADJ
bracis-28430	85	8	online	online	ADJ
bracis-28430	85	9	analysis	analysis	NOUN
bracis-28430	85	10	(	(	PUNCT
bracis-28430	85	11	moa	moa	NOUN
bracis-28430	85	12	)	)	PUNCT
bracis-28430	85	13	framework	framework	NOUN
bracis-28430	85	14	[	[	X
bracis-28430	85	15	6	6	NUM
bracis-28430	85	16	]	]	PUNCT
bracis-28430	85	17	,	,	PUNCT
bracis-28430	85	18	yet	yet	ADV
bracis-28430	85	19	,	,	PUNCT
bracis-28430	85	20	its	its	PRON
bracis-28430	85	21	rationale	rationale	NOUN
bracis-28430	85	22	can	can	AUX
bracis-28430	85	23	be	be	AUX
bracis-28430	85	24	used	use	VERB
bracis-28430	85	25	in	in	ADP
bracis-28430	85	26	other	other	ADJ
bracis-28430	85	27	tools	tool	NOUN
bracis-28430	85	28	like	like	ADP
bracis-28430	85	29	river	river	NOUN
bracis-28430	86	1	[	[	X
bracis-28430	86	2	25	25	NUM
bracis-28430	86	3	]	]	PUNCT
bracis-28430	86	4	.	.	PUNCT
bracis-28430	87	1	our	our	PRON
bracis-28430	87	2	tool	tool	NOUN
bracis-28430	87	3	uses	use	VERB
bracis-28430	87	4	intel	intel	PROPN
bracis-28430	87	5	’s	’s	PART
bracis-28430	87	6	rapl	rapl	NOUN
bracis-28430	88	1	[	[	X
bracis-28430	88	2	7	7	X
bracis-28430	88	3	]	]	PUNCT
bracis-28430	88	4	and	and	CCONJ
bracis-28430	88	5	can	can	AUX
bracis-28430	88	6	be	be	AUX
bracis-28430	88	7	seen	see	VERB
bracis-28430	88	8	as	as	ADP
bracis-28430	88	9	a	a	DET
bracis-28430	88	10	plugin	plugin	NOUN
bracis-28430	88	11	to	to	ADP
bracis-28430	88	12	the	the	DET
bracis-28430	88	13	massive	massive	ADJ
bracis-28430	88	14	online	online	ADJ
bracis-28430	88	15	analysis	analysis	NOUN
bracis-28430	88	16	(	(	PUNCT
bracis-28430	88	17	moa	moa	NOUN
bracis-28430	88	18	)	)	PUNCT
bracis-28430	88	19	framework	framework	NOUN
bracis-28430	88	20	.	.	PUNCT
bracis-28430	89	1	the	the	DET
bracis-28430	89	2	general	general	ADJ
bracis-28430	89	3	idea	idea	NOUN
bracis-28430	89	4	of	of	ADP
bracis-28430	89	5	our	our	PRON
bracis-28430	89	6	tool	tool	NOUN
bracis-28430	89	7	is	be	AUX
bracis-28430	89	8	given	give	VERB
bracis-28430	89	9	in	in	ADP
bracis-28430	89	10	fig	fig	NOUN
bracis-28430	89	11	.	.	PUNCT
bracis-28430	89	12	 	 	SPACE
bracis-28430	90	1	1	1	NUM
bracis-28430	90	2	,	,	PUNCT
bracis-28430	90	3	in	in	ADP
bracis-28430	90	4	which	which	PRON
bracis-28430	90	5	we	we	PRON
bracis-28430	90	6	see	see	VERB
bracis-28430	90	7	that	that	SCONJ
bracis-28430	90	8	rapl	rapl	PRON
bracis-28430	90	9	is	be	AUX
bracis-28430	90	10	used	use	VERB
bracis-28430	90	11	to	to	PART
bracis-28430	90	12	quantify	quantify	VERB
bracis-28430	90	13	energy	energy	NOUN
bracis-28430	90	14	consumption	consumption	NOUN
bracis-28430	90	15	in	in	ADP
bracis-28430	90	16	data	datum	NOUN
bracis-28430	90	17	acquisition	acquisition	NOUN
bracis-28430	90	18	and	and	CCONJ
bracis-28430	90	19	models	model	NOUN
bracis-28430	90	20	’	'	PUNCT
bracis-28430	90	21	training	training	NOUN
bracis-28430	90	22	and	and	CCONJ
bracis-28430	90	23	testing	testing	NOUN
bracis-28430	90	24	phases	phase	NOUN
bracis-28430	90	25	.	.	PUNCT
bracis-28430	91	1	once	once	ADV
bracis-28430	91	2	an	an	DET
bracis-28430	91	3	experiment	experiment	NOUN
bracis-28430	91	4	starts	start	VERB
bracis-28430	91	5	,	,	PUNCT
bracis-28430	91	6	energy	energy	NOUN
bracis-28430	91	7	measurements	measurement	NOUN
bracis-28430	91	8	are	be	AUX
bracis-28430	91	9	initialized	initialize	VERB
bracis-28430	91	10	.	.	PUNCT
bracis-28430	92	1	during	during	ADP
bracis-28430	92	2	data	data	NOUN
bracis-28430	92	3	stream	stream	NOUN
bracis-28430	92	4	processing	processing	NOUN
bracis-28430	92	5	,	,	PUNCT
bracis-28430	92	6	arriving	arrive	VERB
bracis-28430	92	7	instances	instance	NOUN
bracis-28430	92	8	are	be	AUX
bracis-28430	92	9	used	use	VERB
bracis-28430	92	10	to	to	PART
bracis-28430	92	11	determine	determine	VERB
bracis-28430	92	12	processing	processing	NOUN
bracis-28430	92	13	and	and	CCONJ
bracis-28430	92	14	energy	energy	NOUN
bracis-28430	92	15	readings	reading	NOUN
bracis-28430	92	16	before	before	ADP
bracis-28430	92	17	and	and	CCONJ
bracis-28430	92	18	after	after	ADP
bracis-28430	92	19	processing	processing	NOUN
bracis-28430	92	20	,	,	PUNCT
bracis-28430	92	21	i.e.	i.e.	X
bracis-28430	92	22	,	,	PUNCT
bracis-28430	92	23	testing	testing	NOUN
bracis-28430	92	24	and	and	CCONJ
bracis-28430	92	25	training	training	NOUN
bracis-28430	92	26	steps	step	NOUN
bracis-28430	92	27	.	.	PUNCT
bracis-28430	93	1	these	these	DET
bracis-28430	93	2	readings	reading	NOUN
bracis-28430	93	3	are	be	AUX
bracis-28430	93	4	used	use	VERB
bracis-28430	93	5	to	to	PART
bracis-28430	93	6	compute	compute	VERB
bracis-28430	93	7	energy	energy	NOUN
bracis-28430	93	8	consumption	consumption	NOUN
bracis-28430	93	9	rates	rate	NOUN
bracis-28430	93	10	during	during	ADP
bracis-28430	93	11	the	the	DET
bracis-28430	93	12	experiment	experiment	NOUN
bracis-28430	93	13	.	.	PUNCT
bracis-28430	94	1	for	for	ADP
bracis-28430	94	2	each	each	PRON
bracis-28430	94	3	of	of	ADP
bracis-28430	94	4	the	the	DET
bracis-28430	94	5	stages	stage	NOUN
bracis-28430	94	6	,	,	PUNCT
bracis-28430	94	7	there	there	PRON
bracis-28430	94	8	are	be	VERB
bracis-28430	94	9	different	different	ADJ
bracis-28430	94	10	forms	form	NOUN
bracis-28430	94	11	of	of	ADP
bracis-28430	94	12	measuring	measure	VERB
bracis-28430	94	13	energy	energy	NOUN
bracis-28430	94	14	consumption	consumption	NOUN
bracis-28430	94	15	.	.	PUNCT
bracis-28430	95	1	the	the	DET
bracis-28430	95	2	framework	framework	NOUN
bracis-28430	95	3	controls	control	VERB
bracis-28430	95	4	the	the	DET
bracis-28430	95	5	flow	flow	NOUN
bracis-28430	95	6	of	of	ADP
bracis-28430	95	7	the	the	DET
bracis-28430	95	8	data	datum	NOUN
bracis-28430	95	9	stream	stream	NOUN
bracis-28430	95	10	model	model	NOUN
bracis-28430	95	11	to	to	PART
bracis-28430	95	12	start	start	VERB
bracis-28430	95	13	the	the	DET
bracis-28430	95	14	energy	energy	NOUN
bracis-28430	95	15	measurement	measurement	NOUN
bracis-28430	95	16	right	right	ADV
bracis-28430	95	17	before	before	SCONJ
bracis-28430	95	18	it	it	PRON
bracis-28430	95	19	begins	begin	VERB
bracis-28430	95	20	processing	process	VERB
bracis-28430	95	21	the	the	DET
bracis-28430	95	22	samples	sample	NOUN
bracis-28430	95	23	.	.	PUNCT
bracis-28430	96	1	at	at	ADP
bracis-28430	96	2	each	each	DET
bracis-28430	96	3	cycle	cycle	NOUN
bracis-28430	96	4	,	,	PUNCT
bracis-28430	96	5	the	the	DET
bracis-28430	96	6	measurement	measurement	NOUN
bracis-28430	96	7	is	be	AUX
bracis-28430	96	8	taken	take	VERB
bracis-28430	96	9	and	and	CCONJ
bracis-28430	96	10	presented	present	VERB
bracis-28430	96	11	in	in	ADP
bracis-28430	96	12	real	real	ADJ
bracis-28430	96	13	-	-	PUNCT
bracis-28430	96	14	time	time	NOUN
bracis-28430	96	15	to	to	ADP
bracis-28430	96	16	the	the	DET
bracis-28430	96	17	user	user	NOUN
bracis-28430	96	18	.	.	PUNCT
bracis-28430	97	1	at	at	ADP
bracis-28430	97	2	the	the	DET
bracis-28430	97	3	end	end	NOUN
bracis-28430	97	4	of	of	ADP
bracis-28430	97	5	the	the	DET
bracis-28430	97	6	process	process	NOUN
bracis-28430	97	7	,	,	PUNCT
bracis-28430	97	8	a	a	DET
bracis-28430	97	9	graph	graph	NOUN
bracis-28430	97	10	showing	show	VERB
bracis-28430	97	11	the	the	DET
bracis-28430	97	12	instantaneous	instantaneous	ADJ
bracis-28430	97	13	measurement	measurement	NOUN
bracis-28430	97	14	for	for	ADP
bracis-28430	97	15	each	each	DET
bracis-28430	97	16	cycle	cycle	NOUN
bracis-28430	97	17	is	be	AUX
bracis-28430	97	18	presented	present	VERB
bracis-28430	97	19	to	to	ADP
bracis-28430	97	20	the	the	DET
bracis-28430	97	21	user	user	NOUN
bracis-28430	97	22	.	.	PUNCT
bracis-28430	98	1	fig	fig	NOUN
bracis-28430	98	2	.	.	PUNCT
bracis-28430	99	1	1	1	X
bracis-28430	99	2	.	.	X
bracis-28430	99	3	overview	overview	NOUN
bracis-28430	99	4	of	of	ADP
bracis-28430	99	5	the	the	DET
bracis-28430	99	6	proposed	propose	VERB
bracis-28430	99	7	energy	energy	NOUN
bracis-28430	99	8	measuring	measure	VERB
bracis-28430	99	9	framework	framework	NOUN
bracis-28430	99	10	.	.	PUNCT
bracis-28430	100	1	the	the	DET
bracis-28430	100	2	tool	tool	NOUN
bracis-28430	100	3	measures	measure	VERB
bracis-28430	100	4	energy	energy	NOUN
bracis-28430	100	5	consumption	consumption	NOUN
bracis-28430	100	6	during	during	ADP
bracis-28430	100	7	data	data	NOUN
bracis-28430	100	8	acquisition	acquisition	NOUN
bracis-28430	100	9	and	and	CCONJ
bracis-28430	100	10	model	model	NOUN
bracis-28430	100	11	training	training	NOUN
bracis-28430	100	12	and	and	CCONJ
bracis-28430	100	13	testing	testing	NOUN
bracis-28430	100	14	.	.	PUNCT
bracis-28430	101	1	full	full	ADJ
bracis-28430	101	2	size	size	NOUN
bracis-28430	101	3	image	image	NOUN
bracis-28430	101	4	since	since	SCONJ
bracis-28430	101	5	our	our	PRON
bracis-28430	101	6	tool	tool	NOUN
bracis-28430	101	7	is	be	AUX
bracis-28430	101	8	based	base	VERB
bracis-28430	101	9	on	on	ADP
bracis-28430	101	10	intel	intel	PROPN
bracis-28430	101	11	rapl	rapl	NOUN
bracis-28430	101	12	,	,	PUNCT
bracis-28430	101	13	we	we	PRON
bracis-28430	101	14	provide	provide	VERB
bracis-28430	101	15	in	in	ADP
bracis-28430	101	16	fig	fig	NOUN
bracis-28430	101	17	.	.	PUNCT
bracis-28430	101	18	 	 	SPACE
bracis-28430	102	1	2	2	NUM
bracis-28430	102	2	details	detail	NOUN
bracis-28430	102	3	on	on	ADP
bracis-28430	102	4	how	how	SCONJ
bracis-28430	102	5	our	our	PRON
bracis-28430	102	6	plugin	plugin	NOUN
bracis-28430	102	7	interacts	interact	VERB
bracis-28430	102	8	with	with	ADP
bracis-28430	102	9	moa	moa	NOUN
bracis-28430	102	10	,	,	PUNCT
bracis-28430	102	11	rapl	rapl	NOUN
bracis-28430	102	12	,	,	PUNCT
bracis-28430	102	13	and	and	CCONJ
bracis-28430	102	14	the	the	DET
bracis-28430	102	15	linux	linux	PROPN
bracis-28430	102	16	kernel	kernel	PROPN
bracis-28430	102	17	.	.	PUNCT
bracis-28430	103	1	as	as	SCONJ
bracis-28430	103	2	new	new	ADJ
bracis-28430	103	3	data	datum	NOUN
bracis-28430	103	4	becomes	become	VERB
bracis-28430	103	5	available	available	ADJ
bracis-28430	103	6	for	for	ADP
bracis-28430	103	7	processing	processing	NOUN
bracis-28430	103	8	,	,	PUNCT
bracis-28430	103	9	the	the	DET
bracis-28430	103	10	plugin	plugin	NOUN
bracis-28430	103	11	requests	request	VERB
bracis-28430	103	12	measurements	measurement	NOUN
bracis-28430	103	13	from	from	ADP
bracis-28430	103	14	the	the	DET
bracis-28430	103	15	linux	linux	PROPN
bracis-28430	103	16	kernel	kernel	PROPN
bracis-28430	103	17	,	,	PUNCT
bracis-28430	103	18	receiving	receive	VERB
bracis-28430	103	19	the	the	DET
bracis-28430	103	20	response	response	NOUN
bracis-28430	103	21	of	of	ADP
bracis-28430	103	22	how	how	SCONJ
bracis-28430	103	23	much	much	ADJ
bracis-28430	103	24	energy	energy	NOUN
bracis-28430	103	25	has	have	AUX
bracis-28430	103	26	been	be	AUX
bracis-28430	103	27	spent	spend	VERB
bracis-28430	103	28	during	during	ADP
bracis-28430	103	29	the	the	DET
bracis-28430	103	30	testing	testing	NOUN
bracis-28430	103	31	and	and	CCONJ
bracis-28430	103	32	training	training	NOUN
bracis-28430	103	33	phases	phase	NOUN
bracis-28430	103	34	.	.	PUNCT
bracis-28430	104	1	these	these	DET
bracis-28430	104	2	values	value	NOUN
bracis-28430	104	3	are	be	AUX
bracis-28430	104	4	summed	sum	VERB
bracis-28430	104	5	and	and	CCONJ
bracis-28430	104	6	made	make	VERB
bracis-28430	104	7	available	available	ADJ
bracis-28430	104	8	whenever	whenever	SCONJ
bracis-28430	104	9	the	the	DET
bracis-28430	104	10	evaluation	evaluation	NOUN
bracis-28430	104	11	interface	interface	NOUN
bracis-28430	104	12	(	(	PUNCT
bracis-28430	104	13	the	the	DET
bracis-28430	104	14	so	so	ADV
bracis-28430	104	15	-	-	PUNCT
bracis-28430	104	16	called	call	VERB
bracis-28430	104	17	evaluation	evaluation	NOUN
bracis-28430	104	18	frequency	frequency	NOUN
bracis-28430	104	19	parameter	parameter	NOUN
bracis-28430	104	20	)	)	PUNCT
bracis-28430	104	21	requests	request	VERB
bracis-28430	104	22	an	an	DET
bracis-28430	104	23	energy	energy	NOUN
bracis-28430	104	24	consumption	consumption	NOUN
bracis-28430	104	25	rate	rate	NOUN
bracis-28430	104	26	.	.	PUNCT
bracis-28430	105	1	figure	figure	NOUN
bracis-28430	105	2	 	 	SPACE
bracis-28430	105	3	3	3	NUM
bracis-28430	105	4	exemplifies	exemplify	VERB
bracis-28430	105	5	the	the	DET
bracis-28430	105	6	energy	energy	NOUN
bracis-28430	105	7	consumption	consumption	NOUN
bracis-28430	105	8	rates	rate	NOUN
bracis-28430	105	9	measured	measure	VERB
bracis-28430	105	10	by	by	ADP
bracis-28430	105	11	the	the	DET
bracis-28430	105	12	proposed	propose	VERB
bracis-28430	105	13	tool	tool	NOUN
bracis-28430	105	14	and	and	CCONJ
bracis-28430	105	15	how	how	SCONJ
bracis-28430	105	16	it	it	PRON
bracis-28430	105	17	is	be	AUX
bracis-28430	105	18	reported	report	VERB
bracis-28430	105	19	in	in	ADP
bracis-28430	105	20	moa	moa	NOUN
bracis-28430	105	21	alongside	alongside	ADP
bracis-28430	105	22	other	other	ADJ
bracis-28430	105	23	evaluation	evaluation	NOUN
bracis-28430	105	24	metrics	metric	NOUN
bracis-28430	105	25	.	.	PUNCT
bracis-28430	106	1	fig	fig	NOUN
bracis-28430	106	2	.	.	PUNCT
bracis-28430	107	1	2	2	X
bracis-28430	107	2	.	.	X
bracis-28430	107	3	measuring	measure	VERB
bracis-28430	107	4	energy	energy	NOUN
bracis-28430	107	5	consumption	consumption	NOUN
bracis-28430	107	6	using	use	VERB
bracis-28430	107	7	rapl	rapl	NOUN
bracis-28430	107	8	.	.	PUNCT
bracis-28430	108	1	full	full	ADJ
bracis-28430	108	2	size	size	NOUN
bracis-28430	108	3	image	image	NOUN
bracis-28430	108	4	fig	fig	NOUN
bracis-28430	108	5	.	.	PUNCT
bracis-28430	109	1	3	3	X
bracis-28430	109	2	.	.	X
bracis-28430	109	3	screenshot	screenshot	NOUN
bracis-28430	109	4	of	of	ADP
bracis-28430	109	5	the	the	DET
bracis-28430	109	6	massive	massive	ADJ
bracis-28430	109	7	online	online	ADJ
bracis-28430	109	8	analysis	analysis	NOUN
bracis-28430	109	9	(	(	PUNCT
bracis-28430	109	10	moa	moa	NOUN
bracis-28430	109	11	)	)	PUNCT
bracis-28430	109	12	framework	framework	NOUN
bracis-28430	109	13	with	with	ADP
bracis-28430	109	14	results	result	NOUN
bracis-28430	109	15	provided	provide	VERB
bracis-28430	109	16	by	by	ADP
bracis-28430	109	17	the	the	DET
bracis-28430	109	18	proposed	propose	VERB
bracis-28430	109	19	tool	tool	NOUN
bracis-28430	109	20	.	.	PUNCT
bracis-28430	110	1	full	full	ADJ
bracis-28430	110	2	size	size	NOUN
bracis-28430	110	3	image	image	NOUN
bracis-28430	110	4	the	the	DET
bracis-28430	110	5	source	source	NOUN
bracis-28430	110	6	code	code	NOUN
bracis-28430	110	7	of	of	ADP
bracis-28430	110	8	our	our	PRON
bracis-28430	110	9	proposal	proposal	NOUN
bracis-28430	110	10	and	and	CCONJ
bracis-28430	110	11	experimentation	experimentation	NOUN
bracis-28430	110	12	can	can	AUX
bracis-28430	110	13	be	be	AUX
bracis-28430	110	14	found	find	VERB
bracis-28430	110	15	at	at	ADP
bracis-28430	110	16	https://github.com/ericonuki/moa-bringing-awareness-green-ict	https://github.com/ericonuki/moa-bringing-awareness-green-ict	NOUN
bracis-28430	110	17	.	.	PUNCT
bracis-28430	111	1	5	5	NUM
bracis-28430	111	2	experiments	experiment	NOUN
bracis-28430	111	3	this	this	DET
bracis-28430	111	4	section	section	NOUN
bracis-28430	111	5	presents	present	VERB
bracis-28430	111	6	the	the	DET
bracis-28430	111	7	experiments	experiment	NOUN
bracis-28430	111	8	conducted	conduct	VERB
bracis-28430	111	9	to	to	PART
bracis-28430	111	10	assess	assess	VERB
bracis-28430	111	11	our	our	PRON
bracis-28430	111	12	proposed	propose	VERB
bracis-28430	111	13	tool	tool	NOUN
bracis-28430	111	14	to	to	PART
bracis-28430	111	15	measure	measure	VERB
bracis-28430	111	16	energy	energy	NOUN
bracis-28430	111	17	consumption	consumption	NOUN
bracis-28430	111	18	in	in	ADP
bracis-28430	111	19	data	datum	NOUN
bracis-28430	111	20	streams	stream	NOUN
bracis-28430	111	21	.	.	PUNCT
bracis-28430	112	1	in	in	ADP
bracis-28430	112	2	particular	particular	ADJ
bracis-28430	112	3	,	,	PUNCT
bracis-28430	112	4	this	this	DET
bracis-28430	112	5	section	section	NOUN
bracis-28430	112	6	is	be	AUX
bracis-28430	112	7	divided	divide	VERB
bracis-28430	112	8	into	into	ADP
bracis-28430	112	9	two	two	NUM
bracis-28430	112	10	experiments	experiment	NOUN
bracis-28430	112	11	.	.	PUNCT
bracis-28430	113	1	first	first	ADV
bracis-28430	113	2	,	,	PUNCT
bracis-28430	113	3	we	we	PRON
bracis-28430	113	4	analyze	analyze	VERB
bracis-28430	113	5	our	our	PRON
bracis-28430	113	6	tool	tool	NOUN
bracis-28430	113	7	against	against	ADP
bracis-28430	113	8	a	a	DET
bracis-28430	113	9	hardware	hardware	NOUN
bracis-28430	113	10	solution	solution	NOUN
bracis-28430	113	11	,	,	PUNCT
bracis-28430	113	12	which	which	PRON
bracis-28430	113	13	serves	serve	VERB
bracis-28430	113	14	as	as	ADP
bracis-28430	113	15	a	a	DET
bracis-28430	113	16	gold	gold	NOUN
bracis-28430	113	17	standard	standard	NOUN
bracis-28430	113	18	for	for	ADP
bracis-28430	113	19	the	the	DET
bracis-28430	113	20	energy	energy	NOUN
bracis-28430	113	21	consumed	consume	VERB
bracis-28430	113	22	.	.	PUNCT
bracis-28430	114	1	next	next	ADV
bracis-28430	114	2	,	,	PUNCT
bracis-28430	114	3	we	we	PRON
bracis-28430	114	4	analyze	analyze	VERB
bracis-28430	114	5	the	the	DET
bracis-28430	114	6	energy	energy	NOUN
bracis-28430	114	7	consumed	consume	VERB
bracis-28430	114	8	by	by	ADP
bracis-28430	114	9	different	different	ADJ
bracis-28430	114	10	classifiers	classifier	NOUN
bracis-28430	114	11	in	in	ADP
bracis-28430	114	12	prequential	prequential	ADJ
bracis-28430	114	13	test	test	NOUN
bracis-28430	114	14	-	-	PUNCT
bracis-28430	114	15	then	then	ADV
bracis-28430	114	16	-	-	PUNCT
bracis-28430	114	17	train	train	NOUN
bracis-28430	114	18	validation	validation	NOUN
bracis-28430	114	19	in	in	ADP
bracis-28430	114	20	stationary	stationary	ADJ
bracis-28430	114	21	and	and	CCONJ
bracis-28430	114	22	non	non	ADJ
bracis-28430	114	23	-	-	ADJ
bracis-28430	114	24	stationary	stationary	ADJ
bracis-28430	114	25	scenarios	scenario	NOUN
bracis-28430	114	26	.	.	PUNCT
bracis-28430	115	1	all	all	DET
bracis-28430	115	2	tests	test	NOUN
bracis-28430	115	3	were	be	AUX
bracis-28430	115	4	performed	perform	VERB
bracis-28430	115	5	on	on	ADP
bracis-28430	115	6	a	a	DET
bracis-28430	115	7	desktop	desktop	NOUN
bracis-28430	115	8	computer	computer	NOUN
bracis-28430	115	9	running	run	VERB
bracis-28430	115	10	ubuntu	ubuntu	ADJ
bracis-28430	115	11	desktop	desktop	NOUN
bracis-28430	115	12	18.04	18.04	NUM
bracis-28430	115	13	lts	lts	NOUN
bracis-28430	115	14	;	;	PUNCT
bracis-28430	115	15	intel	intel	PROPN
bracis-28430	115	16	core	core	NOUN
bracis-28430	115	17	i7	i7	NOUN
bracis-28430	115	18	-	-	PUNCT
bracis-28430	115	19	2600	2600	NUM
bracis-28430	115	20	sandy	sandy	ADJ
bracis-28430	115	21	bridge	bridge	NOUN
bracis-28430	115	22	cpu	cpu	NOUN
bracis-28430	115	23	;	;	PUNCT
bracis-28430	115	24	4	4	NUM
bracis-28430	115	25	gb	gb	NOUN
bracis-28430	115	26	ram	ram	NOUN
bracis-28430	115	27	,	,	PUNCT
bracis-28430	115	28	and	and	CCONJ
bracis-28430	115	29	250	250	NUM
bracis-28430	115	30	gb	gb	NOUN
bracis-28430	115	31	hdd	hdd	VERB
bracis-28430	115	32	hard	hard	ADJ
bracis-28430	115	33	drive	drive	NOUN
bracis-28430	115	34	.	.	PUNCT
bracis-28430	116	1	5.1	5.1	NUM
bracis-28430	116	2	experiment	experiment	NOUN
bracis-28430	116	3	1	1	NUM
bracis-28430	116	4	validation	validation	NOUN
bracis-28430	116	5	against	against	ADP
bracis-28430	116	6	a	a	DET
bracis-28430	116	7	 	 	SPACE
bracis-28430	116	8	hardware	hardware	NOUN
bracis-28430	116	9	solution	solution	NOUN
bracis-28430	116	10	the	the	DET
bracis-28430	116	11	first	first	ADJ
bracis-28430	116	12	experiment	experiment	NOUN
bracis-28430	116	13	conducted	conduct	VERB
bracis-28430	116	14	aimed	aim	VERB
bracis-28430	116	15	to	to	PART
bracis-28430	116	16	assess	assess	VERB
bracis-28430	116	17	whether	whether	SCONJ
bracis-28430	116	18	the	the	DET
bracis-28430	116	19	energy	energy	NOUN
bracis-28430	116	20	consumption	consumption	NOUN
bracis-28430	116	21	measurement	measurement	NOUN
bracis-28430	116	22	via	via	ADP
bracis-28430	116	23	hardware	hardware	NOUN
bracis-28430	116	24	and	and	CCONJ
bracis-28430	116	25	software	software	NOUN
bracis-28430	116	26	solutions	solution	NOUN
bracis-28430	116	27	were	be	AUX
bracis-28430	116	28	equivalent	equivalent	ADJ
bracis-28430	116	29	or	or	CCONJ
bracis-28430	116	30	,	,	PUNCT
bracis-28430	116	31	at	at	ADP
bracis-28430	116	32	least	least	ADJ
bracis-28430	116	33	,	,	PUNCT
bracis-28430	116	34	correlated	correlate	VERB
bracis-28430	116	35	.	.	PUNCT
bracis-28430	117	1	in	in	ADP
bracis-28430	117	2	this	this	DET
bracis-28430	117	3	experiment	experiment	NOUN
bracis-28430	117	4	,	,	PUNCT
bracis-28430	117	5	both	both	PRON
bracis-28430	117	6	software	software	NOUN
bracis-28430	117	7	and	and	CCONJ
bracis-28430	117	8	hardware	hardware	NOUN
bracis-28430	117	9	tp	tp	NOUN
bracis-28430	117	10	-	-	PUNCT
bracis-28430	117	11	link	link	NOUN
bracis-28430	117	12	hs	hs	NOUN
bracis-28430	117	13	110	110	NUM
bracis-28430	117	14	wall	wall	NOUN
bracis-28430	117	15	plug	plug	NOUN
bracis-28430	117	16	solutions	solution	NOUN
bracis-28430	117	17	were	be	AUX
bracis-28430	117	18	connected	connect	VERB
bracis-28430	117	19	to	to	ADP
bracis-28430	117	20	the	the	DET
bracis-28430	117	21	computer	computer	NOUN
bracis-28430	117	22	,	,	PUNCT
bracis-28430	117	23	and	and	CCONJ
bracis-28430	117	24	a	a	DET
bracis-28430	117	25	cpu	cpu	NOUN
bracis-28430	117	26	stress	stress	NOUN
bracis-28430	117	27	called	call	VERB
bracis-28430	117	28	stress	stress	NOUN
bracis-28430	117	29	-	-	PUNCT
bracis-28430	117	30	ng	ng	PROPN
bracis-28430	118	1	[	[	X
bracis-28430	118	2	23	23	NUM
bracis-28430	118	3	]	]	PUNCT
bracis-28430	118	4	was	be	AUX
bracis-28430	118	5	used	use	VERB
bracis-28430	118	6	to	to	PART
bracis-28430	118	7	quantify	quantify	VERB
bracis-28430	118	8	energy	energy	NOUN
bracis-28430	118	9	consumption	consumption	NOUN
bracis-28430	118	10	rates	rate	NOUN
bracis-28430	118	11	.	.	PUNCT
bracis-28430	119	1	initially	initially	ADV
bracis-28430	119	2	,	,	PUNCT
bracis-28430	119	3	it	it	PRON
bracis-28430	119	4	was	be	AUX
bracis-28430	119	5	deemed	deem	VERB
bracis-28430	119	6	necessary	necessary	ADJ
bracis-28430	119	7	to	to	PART
bracis-28430	119	8	assess	assess	VERB
bracis-28430	119	9	whether	whether	SCONJ
bracis-28430	119	10	the	the	DET
bracis-28430	119	11	measurement	measurement	NOUN
bracis-28430	119	12	of	of	ADP
bracis-28430	119	13	energy	energy	NOUN
bracis-28430	119	14	consumption	consumption	NOUN
bracis-28430	119	15	by	by	ADP
bracis-28430	119	16	hardware	hardware	NOUN
bracis-28430	119	17	or	or	CCONJ
bracis-28430	119	18	software	software	NOUN
bracis-28430	119	19	is	be	AUX
bracis-28430	119	20	equivalent	equivalent	ADJ
bracis-28430	119	21	and	and	CCONJ
bracis-28430	119	22	when	when	SCONJ
bracis-28430	119	23	using	use	VERB
bracis-28430	119	24	only	only	ADV
bracis-28430	119	25	one	one	NUM
bracis-28430	119	26	software	software	NOUN
bracis-28430	119	27	tool	tool	NOUN
bracis-28430	119	28	(	(	PUNCT
bracis-28430	119	29	the	the	DET
bracis-28430	119	30	plugin	plugin	NOUN
bracis-28430	119	31	)	)	PUNCT
bracis-28430	119	32	would	would	AUX
bracis-28430	119	33	not	not	PART
bracis-28430	119	34	compromise	compromise	VERB
bracis-28430	119	35	the	the	DET
bracis-28430	119	36	results	result	NOUN
bracis-28430	119	37	of	of	ADP
bracis-28430	119	38	this	this	DET
bracis-28430	119	39	study	study	NOUN
bracis-28430	119	40	.	.	PUNCT
bracis-28430	120	1	the	the	DET
bracis-28430	120	2	stress	stress	NOUN
bracis-28430	120	3	was	be	AUX
bracis-28430	120	4	configured	configure	VERB
bracis-28430	120	5	to	to	PART
bracis-28430	120	6	generate	generate	VERB
bracis-28430	120	7	a	a	DET
bracis-28430	120	8	10	10	NUM
bracis-28430	120	9	%	%	NOUN
bracis-28430	120	10	stress	stress	NOUN
bracis-28430	120	11	level	level	NOUN
bracis-28430	120	12	for	for	ADP
bracis-28430	120	13	10	10	NUM
bracis-28430	120	14	 	 	SPACE
bracis-28430	120	15	min	min	NOUN
bracis-28430	120	16	and	and	CCONJ
bracis-28430	120	17	progressively	progressively	ADV
bracis-28430	120	18	perform	perform	VERB
bracis-28430	120	19	increments	increment	NOUN
bracis-28430	120	20	by	by	ADP
bracis-28430	120	21	10	10	NUM
bracis-28430	120	22	%	%	NOUN
bracis-28430	120	23	until	until	SCONJ
bracis-28430	120	24	100	100	NUM
bracis-28430	120	25	%	%	NOUN
bracis-28430	120	26	stress	stress	NOUN
bracis-28430	120	27	was	be	AUX
bracis-28430	120	28	reached	reach	VERB
bracis-28430	120	29	.	.	PUNCT
bracis-28430	121	1	once	once	ADV
bracis-28430	121	2	100	100	NUM
bracis-28430	121	3	%	%	NOUN
bracis-28430	121	4	stress	stress	NOUN
bracis-28430	121	5	was	be	AUX
bracis-28430	121	6	reached	reach	VERB
bracis-28430	121	7	,	,	PUNCT
bracis-28430	121	8	the	the	DET
bracis-28430	121	9	test	test	NOUN
bracis-28430	121	10	was	be	AUX
bracis-28430	121	11	incremented	incremente	VERB
bracis-28430	121	12	to	to	PART
bracis-28430	121	13	use	use	VERB
bracis-28430	121	14	an	an	DET
bracis-28430	121	15	extra	extra	ADJ
bracis-28430	121	16	processor	processor	NOUN
bracis-28430	121	17	core	core	NOUN
bracis-28430	121	18	.	.	PUNCT
bracis-28430	122	1	this	this	DET
bracis-28430	122	2	process	process	NOUN
bracis-28430	122	3	was	be	AUX
bracis-28430	122	4	repeated	repeat	VERB
bracis-28430	122	5	until	until	SCONJ
bracis-28430	122	6	all	all	DET
bracis-28430	122	7	four	four	NUM
bracis-28430	122	8	cores	core	NOUN
bracis-28430	122	9	were	be	AUX
bracis-28430	122	10	allocated	allocate	VERB
bracis-28430	122	11	.	.	PUNCT
bracis-28430	123	1	the	the	DET
bracis-28430	123	2	entire	entire	ADJ
bracis-28430	123	3	testbed	testbe	VERB
bracis-28430	123	4	encompassed	encompass	VERB
bracis-28430	123	5	five	five	NUM
bracis-28430	123	6	runs	run	NOUN
bracis-28430	123	7	,	,	PUNCT
bracis-28430	123	8	and	and	CCONJ
bracis-28430	123	9	the	the	DET
bracis-28430	123	10	average	average	ADJ
bracis-28430	123	11	results	result	NOUN
bracis-28430	123	12	are	be	AUX
bracis-28430	123	13	given	give	VERB
bracis-28430	123	14	in	in	ADP
bracis-28430	123	15	fig	fig	NOUN
bracis-28430	123	16	.	.	PUNCT
bracis-28430	123	17	 	 	SPACE
bracis-28430	124	1	4	4	X
bracis-28430	124	2	.	.	PUNCT
bracis-28430	125	1	both	both	DET
bracis-28430	125	2	lines	line	NOUN
bracis-28430	125	3	indicate	indicate	VERB
bracis-28430	125	4	the	the	DET
bracis-28430	125	5	various	various	ADJ
bracis-28430	125	6	stress	stress	NOUN
bracis-28430	125	7	levels	level	NOUN
bracis-28430	125	8	on	on	ADP
bracis-28430	125	9	the	the	DET
bracis-28430	125	10	computer	computer	NOUN
bracis-28430	125	11	,	,	PUNCT
bracis-28430	125	12	with	with	ADP
bracis-28430	125	13	the	the	DET
bracis-28430	125	14	blue	blue	ADJ
bracis-28430	125	15	line	line	NOUN
bracis-28430	125	16	relating	relate	VERB
bracis-28430	125	17	to	to	ADP
bracis-28430	125	18	the	the	DET
bracis-28430	125	19	software	software	NOUN
bracis-28430	125	20	power	power	NOUN
bracis-28430	125	21	consumption	consumption	NOUN
bracis-28430	125	22	measurement	measurement	NOUN
bracis-28430	125	23	and	and	CCONJ
bracis-28430	125	24	the	the	DET
bracis-28430	125	25	green	green	ADJ
bracis-28430	125	26	line	line	NOUN
bracis-28430	125	27	the	the	DET
bracis-28430	125	28	hardware	hardware	NOUN
bracis-28430	125	29	results	result	NOUN
bracis-28430	125	30	.	.	PUNCT
bracis-28430	126	1	these	these	DET
bracis-28430	126	2	results	result	NOUN
bracis-28430	126	3	depict	depict	VERB
bracis-28430	126	4	that	that	SCONJ
bracis-28430	126	5	the	the	DET
bracis-28430	126	6	software	software	NOUN
bracis-28430	126	7	solution	solution	NOUN
bracis-28430	126	8	does	do	AUX
bracis-28430	126	9	not	not	PART
bracis-28430	126	10	meet	meet	VERB
bracis-28430	126	11	the	the	DET
bracis-28430	126	12	hardware	hardware	NOUN
bracis-28430	126	13	solution	solution	NOUN
bracis-28430	126	14	readings	reading	NOUN
bracis-28430	126	15	.	.	PUNCT
bracis-28430	127	1	these	these	DET
bracis-28430	127	2	results	result	NOUN
bracis-28430	127	3	are	be	AUX
bracis-28430	127	4	expected	expect	VERB
bracis-28430	127	5	since	since	SCONJ
bracis-28430	127	6	the	the	DET
bracis-28430	127	7	hardware	hardware	NOUN
bracis-28430	127	8	readings	reading	NOUN
bracis-28430	127	9	account	account	VERB
bracis-28430	127	10	for	for	ADP
bracis-28430	127	11	the	the	DET
bracis-28430	127	12	entire	entire	ADJ
bracis-28430	127	13	computer	computer	NOUN
bracis-28430	127	14	,	,	PUNCT
bracis-28430	127	15	i.e.	i.e.	X
bracis-28430	127	16	,	,	PUNCT
bracis-28430	127	17	the	the	DET
bracis-28430	127	18	operational	operational	ADJ
bracis-28430	127	19	system	system	NOUN
bracis-28430	127	20	and	and	CCONJ
bracis-28430	127	21	other	other	ADJ
bracis-28430	127	22	software	software	NOUN
bracis-28430	127	23	that	that	PRON
bracis-28430	127	24	is	be	AUX
bracis-28430	127	25	being	be	AUX
bracis-28430	127	26	run	run	VERB
bracis-28430	127	27	;	;	PUNCT
bracis-28430	127	28	thus	thus	ADV
bracis-28430	127	29	,	,	PUNCT
bracis-28430	127	30	it	it	PRON
bracis-28430	127	31	is	be	AUX
bracis-28430	127	32	reasonable	reasonable	ADJ
bracis-28430	127	33	to	to	PART
bracis-28430	127	34	assume	assume	VERB
bracis-28430	127	35	that	that	SCONJ
bracis-28430	127	36	the	the	DET
bracis-28430	127	37	stress	stress	NOUN
bracis-28430	127	38	occupies	occupy	VERB
bracis-28430	127	39	a	a	DET
bracis-28430	127	40	part	part	NOUN
bracis-28430	127	41	of	of	ADP
bracis-28430	127	42	the	the	DET
bracis-28430	127	43	overall	overall	ADJ
bracis-28430	127	44	energy	energy	NOUN
bracis-28430	127	45	being	be	AUX
bracis-28430	127	46	consumed	consume	VERB
bracis-28430	127	47	.	.	PUNCT
bracis-28430	128	1	even	even	ADV
bracis-28430	128	2	though	though	SCONJ
bracis-28430	128	3	it	it	PRON
bracis-28430	128	4	is	be	AUX
bracis-28430	128	5	clear	clear	ADJ
bracis-28430	128	6	that	that	SCONJ
bracis-28430	128	7	the	the	DET
bracis-28430	128	8	results	result	NOUN
bracis-28430	128	9	do	do	AUX
bracis-28430	128	10	not	not	PART
bracis-28430	128	11	match	match	VERB
bracis-28430	128	12	,	,	PUNCT
bracis-28430	128	13	they	they	PRON
bracis-28430	128	14	possess	possess	VERB
bracis-28430	128	15	a	a	DET
bracis-28430	128	16	99.97	99.97	NUM
bracis-28430	128	17	%	%	NOUN
bracis-28430	128	18	correlation	correlation	NOUN
bracis-28430	128	19	,	,	PUNCT
bracis-28430	128	20	which	which	PRON
bracis-28430	128	21	depicts	depict	VERB
bracis-28430	128	22	a	a	DET
bracis-28430	128	23	strong	strong	ADJ
bracis-28430	128	24	correlation	correlation	NOUN
bracis-28430	128	25	.	.	PUNCT
bracis-28430	129	1	therefore	therefore	ADV
bracis-28430	129	2	,	,	PUNCT
bracis-28430	129	3	we	we	PRON
bracis-28430	129	4	verify	verify	VERB
bracis-28430	129	5	that	that	SCONJ
bracis-28430	129	6	although	although	SCONJ
bracis-28430	129	7	the	the	DET
bracis-28430	129	8	software	software	NOUN
bracis-28430	129	9	solution	solution	NOUN
bracis-28430	129	10	does	do	AUX
bracis-28430	129	11	not	not	PART
bracis-28430	129	12	accurately	accurately	ADV
bracis-28430	129	13	describe	describe	VERB
bracis-28430	129	14	a	a	DET
bracis-28430	129	15	computer	computer	NOUN
bracis-28430	129	16	’s	’s	PART
bracis-28430	129	17	total	total	ADJ
bracis-28430	129	18	energy	energy	NOUN
bracis-28430	129	19	consumption	consumption	NOUN
bracis-28430	129	20	,	,	PUNCT
bracis-28430	129	21	its	its	PRON
bracis-28430	129	22	results	result	NOUN
bracis-28430	129	23	correlate	correlate	VERB
bracis-28430	129	24	with	with	ADP
bracis-28430	129	25	the	the	DET
bracis-28430	129	26	actual	actual	ADJ
bracis-28430	129	27	consumption	consumption	NOUN
bracis-28430	129	28	measured	measure	VERB
bracis-28430	129	29	from	from	ADP
bracis-28430	129	30	a	a	DET
bracis-28430	129	31	hardware	hardware	NOUN
bracis-28430	129	32	tool	tool	NOUN
bracis-28430	129	33	,	,	PUNCT
bracis-28430	129	34	as	as	ADV
bracis-28430	129	35	also	also	ADV
bracis-28430	129	36	observed	observe	VERB
bracis-28430	129	37	in	in	ADP
bracis-28430	129	38	[	[	X
bracis-28430	129	39	8	8	NUM
bracis-28430	129	40	,	,	PUNCT
bracis-28430	129	41	27	27	NUM
bracis-28430	129	42	]	]	PUNCT
bracis-28430	129	43	.	.	PUNCT
bracis-28430	130	1	fig	fig	NOUN
bracis-28430	130	2	.	.	PUNCT
bracis-28430	131	1	4	4	X
bracis-28430	131	2	.	.	X
bracis-28430	131	3	comparison	comparison	NOUN
bracis-28430	131	4	of	of	ADP
bracis-28430	131	5	the	the	DET
bracis-28430	131	6	energy	energy	NOUN
bracis-28430	131	7	consumption	consumption	NOUN
bracis-28430	131	8	quantified	quantify	VERB
bracis-28430	131	9	by	by	ADP
bracis-28430	131	10	hardware	hardware	NOUN
bracis-28430	131	11	and	and	CCONJ
bracis-28430	131	12	software	software	NOUN
bracis-28430	131	13	.	.	PUNCT
bracis-28430	132	1	full	full	ADJ
bracis-28430	132	2	size	size	NOUN
bracis-28430	132	3	image	image	NOUN
bracis-28430	132	4	5.2	5.2	NUM
bracis-28430	132	5	experiment	experiment	NOUN
bracis-28430	132	6	2	2	NUM
bracis-28430	132	7	analyzing	analyze	VERB
bracis-28430	132	8	different	different	ADJ
bracis-28430	132	9	classifiers	classifier	NOUN
bracis-28430	132	10	in	in	ADP
bracis-28430	132	11	 	 	SPACE
bracis-28430	132	12	stationary	stationary	ADJ
bracis-28430	132	13	and	and	CCONJ
bracis-28430	132	14	 	 	SPACE
bracis-28430	132	15	non	non	ADJ
bracis-28430	132	16	-	-	ADJ
bracis-28430	132	17	stationary	stationary	ADJ
bracis-28430	132	18	environments	environment	NOUN
bracis-28430	132	19	in	in	ADP
bracis-28430	132	20	this	this	DET
bracis-28430	132	21	experiment	experiment	NOUN
bracis-28430	132	22	,	,	PUNCT
bracis-28430	132	23	we	we	PRON
bracis-28430	132	24	used	use	VERB
bracis-28430	132	25	our	our	PRON
bracis-28430	132	26	proposed	propose	VERB
bracis-28430	132	27	tool	tool	NOUN
bracis-28430	132	28	to	to	PART
bracis-28430	132	29	quantify	quantify	VERB
bracis-28430	132	30	the	the	DET
bracis-28430	132	31	energy	energy	NOUN
bracis-28430	132	32	consumption	consumption	NOUN
bracis-28430	132	33	of	of	ADP
bracis-28430	132	34	different	different	ADJ
bracis-28430	132	35	classifiers	classifier	NOUN
bracis-28430	132	36	in	in	ADP
bracis-28430	132	37	stationary	stationary	ADJ
bracis-28430	132	38	and	and	CCONJ
bracis-28430	132	39	non	non	ADJ
bracis-28430	132	40	-	-	ADJ
bracis-28430	132	41	stationary	stationary	ADJ
bracis-28430	132	42	environments	environment	NOUN
bracis-28430	132	43	.	.	PUNCT
bracis-28430	133	1	in	in	ADP
bracis-28430	133	2	particular	particular	ADJ
bracis-28430	133	3	,	,	PUNCT
bracis-28430	133	4	synthetic	synthetic	ADJ
bracis-28430	133	5	data	datum	NOUN
bracis-28430	133	6	streams	stream	NOUN
bracis-28430	133	7	were	be	AUX
bracis-28430	133	8	created	create	VERB
bracis-28430	133	9	using	use	VERB
bracis-28430	133	10	the	the	DET
bracis-28430	133	11	massive	massive	ADJ
bracis-28430	133	12	online	online	ADJ
bracis-28430	133	13	analysis	analysis	NOUN
bracis-28430	133	14	(	(	PUNCT
bracis-28430	133	15	moa	moa	NOUN
bracis-28430	133	16	)	)	PUNCT
bracis-28430	133	17	framework	framework	NOUN
bracis-28430	133	18	using	use	VERB
bracis-28430	133	19	the	the	DET
bracis-28430	133	20	agrawal	agrawal	PROPN
bracis-28430	133	21	(	(	PUNCT
bracis-28430	133	22	agr	agr	NOUN
bracis-28430	133	23	)	)	PUNCT
bracis-28430	134	1	[	[	X
bracis-28430	134	2	1	1	NUM
bracis-28430	134	3	]	]	PUNCT
bracis-28430	134	4	,	,	PUNCT
bracis-28430	134	5	assets	asset	NOUN
bracis-28430	134	6	negotiation	negotiation	NOUN
bracis-28430	134	7	(	(	PUNCT
bracis-28430	134	8	an	an	NOUN
bracis-28430	134	9	)	)	PUNCT
bracis-28430	135	1	[	[	X
bracis-28430	135	2	2	2	NUM
bracis-28430	135	3	]	]	PUNCT
bracis-28430	135	4	,	,	PUNCT
bracis-28430	135	5	and	and	CCONJ
bracis-28430	135	6	sea	sea	NOUN
bracis-28430	136	1	[	[	X
bracis-28430	136	2	29	29	NUM
bracis-28430	136	3	]	]	PUNCT
bracis-28430	136	4	generators	generator	NOUN
bracis-28430	136	5	.	.	PUNCT
bracis-28430	137	1	each	each	DET
bracis-28430	137	2	stream	stream	NOUN
bracis-28430	137	3	possessed	possess	VERB
bracis-28430	137	4	1	1	NUM
bracis-28430	137	5	million	million	NUM
bracis-28430	137	6	instances	instance	NOUN
bracis-28430	137	7	,	,	PUNCT
bracis-28430	137	8	and	and	CCONJ
bracis-28430	137	9	two	two	NUM
bracis-28430	137	10	variants	variant	NOUN
bracis-28430	137	11	were	be	AUX
bracis-28430	137	12	created	create	VERB
bracis-28430	137	13	,	,	PUNCT
bracis-28430	137	14	one	one	NUM
bracis-28430	137	15	with	with	ADP
bracis-28430	137	16	concept	concept	NOUN
bracis-28430	137	17	drifts	drift	NOUN
bracis-28430	137	18	located	locate	VERB
bracis-28430	137	19	at	at	ADP
bracis-28430	137	20	the	the	DET
bracis-28430	137	21	middle	middle	NOUN
bracis-28430	137	22	of	of	ADP
bracis-28430	137	23	the	the	DET
bracis-28430	137	24	experiment	experiment	NOUN
bracis-28430	137	25	(	(	PUNCT
bracis-28430	137	26	drift	drift	NOUN
bracis-28430	137	27	position	position	NOUN
bracis-28430	137	28	equal	equal	ADJ
bracis-28430	137	29	to	to	ADP
bracis-28430	137	30	500,000	500,000	NUM
bracis-28430	137	31	)	)	PUNCT
bracis-28430	137	32	and	and	CCONJ
bracis-28430	137	33	another	another	PRON
bracis-28430	137	34	without	without	ADP
bracis-28430	137	35	concept	concept	NOUN
bracis-28430	137	36	drift	drift	NOUN
bracis-28430	137	37	.	.	PUNCT
bracis-28430	138	1	experiment	experiment	NOUN
bracis-28430	138	2	variants	variant	NOUN
bracis-28430	138	3	marked	mark	VERB
bracis-28430	138	4	with	with	ADP
bracis-28430	138	5	a	a	DET
bracis-28430	138	6	-d	-d	PUNCT
bracis-28430	138	7	suffix	suffix	NOUN
bracis-28430	138	8	stand	stand	VERB
bracis-28430	138	9	for	for	ADP
bracis-28430	138	10	drifting	drift	VERB
bracis-28430	138	11	experiments	experiment	NOUN
bracis-28430	138	12	.	.	PUNCT
bracis-28430	139	1	the	the	DET
bracis-28430	139	2	data	datum	NOUN
bracis-28430	139	3	streams	stream	NOUN
bracis-28430	139	4	mentioned	mention	VERB
bracis-28430	139	5	above	above	ADV
bracis-28430	139	6	were	be	AUX
bracis-28430	139	7	used	use	VERB
bracis-28430	139	8	to	to	PART
bracis-28430	139	9	assess	assess	VERB
bracis-28430	139	10	naive	naive	ADJ
bracis-28430	139	11	bayes	bayes	NOUN
bracis-28430	139	12	(	(	PUNCT
bracis-28430	139	13	nb	nb	PROPN
bracis-28430	139	14	)	)	PUNCT
bracis-28430	139	15	,	,	PUNCT
bracis-28430	139	16	hoeffding	hoeffde	VERB
bracis-28430	139	17	tree	tree	NOUN
bracis-28430	139	18	(	(	PUNCT
bracis-28430	139	19	ht	ht	PROPN
bracis-28430	139	20	)	)	PUNCT
bracis-28430	139	21	,	,	PUNCT
bracis-28430	139	22	hoeffding	hoeffde	VERB
bracis-28430	139	23	adaptive	adaptive	ADJ
bracis-28430	139	24	tree	tree	NOUN
bracis-28430	139	25	(	(	PUNCT
bracis-28430	139	26	hat	hat	NOUN
bracis-28430	139	27	)	)	PUNCT
bracis-28430	139	28	,	,	PUNCT
bracis-28430	139	29	and	and	CCONJ
bracis-28430	139	30	adaptive	adaptive	ADJ
bracis-28430	139	31	random	random	ADJ
bracis-28430	139	32	forest	forest	NOUN
bracis-28430	139	33	(	(	PUNCT
bracis-28430	139	34	arf	arf	NOUN
bracis-28430	139	35	)	)	PUNCT
bracis-28430	139	36	classifiers	classifier	NOUN
bracis-28430	139	37	.	.	PUNCT
bracis-28430	140	1	all	all	DET
bracis-28430	140	2	classifiers	classifier	NOUN
bracis-28430	140	3	used	use	VERB
bracis-28430	140	4	the	the	DET
bracis-28430	140	5	default	default	NOUN
bracis-28430	140	6	parameters	parameter	NOUN
bracis-28430	140	7	available	available	ADJ
bracis-28430	140	8	in	in	ADP
bracis-28430	140	9	moa	moa	NOUN
bracis-28430	140	10	,	,	PUNCT
bracis-28430	140	11	except	except	SCONJ
bracis-28430	140	12	for	for	ADP
bracis-28430	140	13	arf	arf	NOUN
bracis-28430	140	14	,	,	PUNCT
bracis-28430	140	15	which	which	PRON
bracis-28430	140	16	used	use	VERB
bracis-28430	140	17	100	100	NUM
bracis-28430	140	18	ensemble	ensemble	ADJ
bracis-28430	140	19	members	member	NOUN
bracis-28430	140	20	(	(	PUNCT
bracis-28430	140	21	each	each	PRON
bracis-28430	140	22	with	with	ADP
bracis-28430	140	23	an	an	DET
bracis-28430	140	24	individual	individual	ADJ
bracis-28430	140	25	thread	thread	NOUN
bracis-28430	140	26	)	)	PUNCT
bracis-28430	140	27	and	and	CCONJ
bracis-28430	140	28	a	a	DET
bracis-28430	140	29	grace	grace	NOUN
bracis-28430	140	30	period	period	NOUN
bracis-28430	140	31	\(n_{min}=50\	\(n_{min}=50\	PUNCT
bracis-28430	140	32	)	)	PUNCT
bracis-28430	140	33	.	.	PUNCT
bracis-28430	141	1	all	all	DET
bracis-28430	141	2	experiments	experiment	NOUN
bracis-28430	141	3	were	be	AUX
bracis-28430	141	4	conducted	conduct	VERB
bracis-28430	141	5	using	use	VERB
bracis-28430	141	6	the	the	DET
bracis-28430	141	7	prequential	prequential	ADJ
bracis-28430	141	8	validation	validation	NOUN
bracis-28430	141	9	scheme	scheme	NOUN
bracis-28430	141	10	proposed	propose	VERB
bracis-28430	141	11	in	in	ADP
bracis-28430	141	12	[	[	X
bracis-28430	141	13	11	11	NUM
bracis-28430	141	14	]	]	PUNCT
bracis-28430	141	15	,	,	PUNCT
bracis-28430	141	16	i.e.	i.e.	X
bracis-28430	141	17	,	,	PUNCT
bracis-28430	141	18	each	each	DET
bracis-28430	141	19	instance	instance	NOUN
bracis-28430	141	20	was	be	AUX
bracis-28430	141	21	retrieved	retrieve	VERB
bracis-28430	141	22	and	and	CCONJ
bracis-28430	141	23	used	use	VERB
bracis-28430	141	24	for	for	ADP
bracis-28430	141	25	testing	testing	NOUN
bracis-28430	141	26	and	and	CCONJ
bracis-28430	141	27	training	training	NOUN
bracis-28430	141	28	.	.	PUNCT
bracis-28430	142	1	the	the	DET
bracis-28430	142	2	source	source	NOUN
bracis-28430	142	3	code	code	NOUN
bracis-28430	142	4	to	to	PART
bracis-28430	142	5	reproduce	reproduce	VERB
bracis-28430	142	6	this	this	DET
bracis-28430	142	7	experimentation	experimentation	NOUN
bracis-28430	142	8	is	be	AUX
bracis-28430	142	9	also	also	ADV
bracis-28430	142	10	available	available	ADJ
bracis-28430	142	11	in	in	ADP
bracis-28430	142	12	the	the	DET
bracis-28430	142	13	code	code	NOUN
bracis-28430	142	14	repository	repository	NOUN
bracis-28430	142	15	.	.	PUNCT
bracis-28430	143	1	discussion	discussion	NOUN
bracis-28430	143	2	.	.	PUNCT
bracis-28430	144	1	the	the	DET
bracis-28430	144	2	results	result	NOUN
bracis-28430	144	3	obtained	obtain	VERB
bracis-28430	144	4	are	be	AUX
bracis-28430	144	5	given	give	VERB
bracis-28430	144	6	in	in	ADP
bracis-28430	144	7	tables	table	NOUN
bracis-28430	144	8	 	 	SPACE
bracis-28430	144	9	1	1	NUM
bracis-28430	144	10	,	,	PUNCT
bracis-28430	144	11	2	2	NUM
bracis-28430	144	12	,	,	PUNCT
bracis-28430	144	13	3	3	NUM
bracis-28430	144	14	,	,	PUNCT
bracis-28430	144	15	and	and	CCONJ
bracis-28430	144	16	4	4	X
bracis-28430	144	17	.	.	X
bracis-28430	145	1	these	these	DET
bracis-28430	145	2	tables	table	NOUN
bracis-28430	145	3	provides	provide	VERB
bracis-28430	145	4	accuracy	accuracy	NOUN
bracis-28430	145	5	,	,	PUNCT
bracis-28430	145	6	processing	processing	NOUN
bracis-28430	145	7	time	time	NOUN
bracis-28430	145	8	(	(	PUNCT
bracis-28430	145	9	in	in	ADP
bracis-28430	145	10	seconds	second	NOUN
bracis-28430	145	11	)	)	PUNCT
bracis-28430	145	12	,	,	PUNCT
bracis-28430	145	13	memory	memory	NOUN
bracis-28430	145	14	consumption	consumption	NOUN
bracis-28430	145	15	(	(	PUNCT
bracis-28430	145	16	in	in	ADP
bracis-28430	145	17	gb	gb	NOUN
bracis-28430	145	18	-	-	PUNCT
bracis-28430	145	19	hours	hour	NOUN
bracis-28430	145	20	)	)	PUNCT
bracis-28430	145	21	,	,	PUNCT
bracis-28430	145	22	and	and	CCONJ
bracis-28430	145	23	energy	energy	NOUN
bracis-28430	145	24	consumption	consumption	NOUN
bracis-28430	145	25	rates	rate	NOUN
bracis-28430	145	26	(	(	PUNCT
bracis-28430	145	27	in	in	ADP
bracis-28430	145	28	watts	watt	NOUN
bracis-28430	145	29	)	)	PUNCT
bracis-28430	145	30	,	,	PUNCT
bracis-28430	145	31	respectively	respectively	ADV
bracis-28430	145	32	.	.	PUNCT
bracis-28430	146	1	first	first	ADV
bracis-28430	146	2	,	,	PUNCT
bracis-28430	146	3	we	we	PRON
bracis-28430	146	4	highlight	highlight	VERB
bracis-28430	146	5	that	that	DET
bracis-28430	146	6	naive	naive	ADJ
bracis-28430	146	7	bayes	bayes	NOUN
bracis-28430	146	8	(	(	PUNCT
bracis-28430	146	9	nb	nb	NOUN
bracis-28430	146	10	)	)	PUNCT
bracis-28430	146	11	has	have	VERB
bracis-28430	146	12	the	the	DET
bracis-28430	146	13	lowest	low	ADJ
bracis-28430	146	14	accuracy	accuracy	NOUN
bracis-28430	146	15	rates	rate	NOUN
bracis-28430	146	16	in	in	ADP
bracis-28430	146	17	all	all	DET
bracis-28430	146	18	scenarios	scenario	NOUN
bracis-28430	146	19	.	.	PUNCT
bracis-28430	147	1	this	this	DET
bracis-28430	147	2	result	result	NOUN
bracis-28430	147	3	corroborates	corroborate	VERB
bracis-28430	147	4	that	that	SCONJ
bracis-28430	147	5	decision	decision	NOUN
bracis-28430	147	6	trees	tree	NOUN
bracis-28430	147	7	and	and	CCONJ
bracis-28430	147	8	their	their	PRON
bracis-28430	147	9	ensembles	ensemble	NOUN
bracis-28430	147	10	are	be	AUX
bracis-28430	147	11	more	more	ADV
bracis-28430	147	12	interesting	interesting	ADJ
bracis-28430	147	13	when	when	SCONJ
bracis-28430	147	14	this	this	DET
bracis-28430	147	15	particular	particular	ADJ
bracis-28430	147	16	evaluation	evaluation	NOUN
bracis-28430	147	17	metric	metric	NOUN
bracis-28430	147	18	is	be	AUX
bracis-28430	147	19	pursuit	pursuit	ADJ
bracis-28430	147	20	.	.	PUNCT
bracis-28430	148	1	we	we	PRON
bracis-28430	148	2	highlight	highlight	VERB
bracis-28430	148	3	,	,	PUNCT
bracis-28430	148	4	for	for	ADP
bracis-28430	148	5	instance	instance	NOUN
bracis-28430	148	6	,	,	PUNCT
bracis-28430	148	7	the	the	DET
bracis-28430	148	8	results	result	NOUN
bracis-28430	148	9	obtained	obtain	VERB
bracis-28430	148	10	by	by	ADP
bracis-28430	148	11	arf	arf	NOUN
bracis-28430	148	12	in	in	ADP
bracis-28430	148	13	drifting	drift	VERB
bracis-28430	148	14	experiments	experiment	NOUN
bracis-28430	148	15	,	,	PUNCT
bracis-28430	148	16	which	which	PRON
bracis-28430	148	17	are	be	AUX
bracis-28430	148	18	expected	expect	VERB
bracis-28430	148	19	since	since	SCONJ
bracis-28430	148	20	it	it	PRON
bracis-28430	148	21	has	have	VERB
bracis-28430	148	22	multiple	multiple	ADJ
bracis-28430	148	23	learners	learner	NOUN
bracis-28430	148	24	coupled	couple	VERB
bracis-28430	148	25	with	with	ADP
bracis-28430	148	26	drift	drift	NOUN
bracis-28430	148	27	detectors	detector	NOUN
bracis-28430	148	28	to	to	PART
bracis-28430	148	29	detect	detect	VERB
bracis-28430	148	30	and	and	CCONJ
bracis-28430	148	31	adapt	adapt	VERB
bracis-28430	148	32	to	to	ADP
bracis-28430	148	33	such	such	ADJ
bracis-28430	148	34	changes	change	NOUN
bracis-28430	148	35	.	.	PUNCT
bracis-28430	149	1	nonetheless	nonetheless	ADV
bracis-28430	149	2	,	,	PUNCT
bracis-28430	149	3	decision	decision	NOUN
bracis-28430	149	4	trees	tree	NOUN
bracis-28430	149	5	bring	bring	VERB
bracis-28430	149	6	forward	forward	ADV
bracis-28430	149	7	computational	computational	ADJ
bracis-28430	149	8	overheads	overhead	NOUN
bracis-28430	149	9	that	that	PRON
bracis-28430	149	10	are	be	AUX
bracis-28430	149	11	quantified	quantify	VERB
bracis-28430	149	12	by	by	ADP
bracis-28430	149	13	the	the	DET
bracis-28430	149	14	remainder	remainder	NOUN
bracis-28430	149	15	of	of	ADP
bracis-28430	149	16	the	the	DET
bracis-28430	149	17	metrics	metric	NOUN
bracis-28430	149	18	.	.	PUNCT
bracis-28430	150	1	first	first	ADV
bracis-28430	150	2	,	,	PUNCT
bracis-28430	150	3	we	we	PRON
bracis-28430	150	4	see	see	VERB
bracis-28430	150	5	that	that	SCONJ
bracis-28430	150	6	hoeffding	hoeffding	NOUN
bracis-28430	150	7	tree	tree	NOUN
bracis-28430	150	8	(	(	PUNCT
bracis-28430	150	9	ht	ht	PROPN
bracis-28430	150	10	)	)	PUNCT
bracis-28430	150	11	,	,	PUNCT
bracis-28430	150	12	hoeffding	hoeffde	VERB
bracis-28430	150	13	adaptive	adaptive	ADJ
bracis-28430	150	14	tree	tree	NOUN
bracis-28430	150	15	(	(	PUNCT
bracis-28430	150	16	hat	hat	NOUN
bracis-28430	150	17	)	)	PUNCT
bracis-28430	150	18	,	,	PUNCT
bracis-28430	150	19	and	and	CCONJ
bracis-28430	150	20	the	the	DET
bracis-28430	150	21	adaptive	adaptive	ADJ
bracis-28430	150	22	random	random	ADJ
bracis-28430	150	23	forest	forest	NOUN
bracis-28430	150	24	(	(	PUNCT
bracis-28430	150	25	arf	arf	NOUN
bracis-28430	150	26	)	)	PUNCT
bracis-28430	150	27	are	be	AUX
bracis-28430	150	28	slower	slow	ADJ
bracis-28430	150	29	than	than	ADP
bracis-28430	150	30	naive	naive	ADJ
bracis-28430	150	31	bayes	bayes	NOUN
bracis-28430	150	32	(	(	PUNCT
bracis-28430	150	33	nb	nb	NOUN
bracis-28430	150	34	)	)	PUNCT
bracis-28430	150	35	.	.	PUNCT
bracis-28430	151	1	the	the	DET
bracis-28430	151	2	processing	processing	NOUN
bracis-28430	151	3	times	time	NOUN
bracis-28430	151	4	for	for	ADP
bracis-28430	151	5	ht	ht	PROPN
bracis-28430	151	6	,	,	PUNCT
bracis-28430	151	7	hat	hat	NOUN
bracis-28430	151	8	,	,	PUNCT
bracis-28430	151	9	and	and	CCONJ
bracis-28430	151	10	arf	arf	NOUN
bracis-28430	151	11	are	be	AUX
bracis-28430	151	12	7	7	NUM
bracis-28430	151	13	,	,	PUNCT
bracis-28430	151	14	11	11	NUM
bracis-28430	151	15	,	,	PUNCT
bracis-28430	151	16	and	and	CCONJ
bracis-28430	151	17	44,751	44,751	NUM
bracis-28430	151	18	times	time	NOUN
bracis-28430	151	19	slower	slow	ADJ
bracis-28430	151	20	than	than	ADP
bracis-28430	151	21	nb	nb	PROPN
bracis-28430	151	22	,	,	PUNCT
bracis-28430	151	23	respectively	respectively	ADV
bracis-28430	151	24	.	.	PUNCT
bracis-28430	152	1	similar	similar	ADJ
bracis-28430	152	2	results	result	NOUN
bracis-28430	152	3	are	be	AUX
bracis-28430	152	4	observed	observe	VERB
bracis-28430	152	5	for	for	ADP
bracis-28430	152	6	ram	ram	NOUN
bracis-28430	152	7	consumption	consumption	NOUN
bracis-28430	152	8	,	,	PUNCT
bracis-28430	152	9	in	in	ADP
bracis-28430	152	10	which	which	PRON
bracis-28430	152	11	ht	ht	PROPN
bracis-28430	152	12	,	,	PUNCT
bracis-28430	152	13	hat	hat	NOUN
bracis-28430	152	14	,	,	PUNCT
bracis-28430	152	15	and	and	CCONJ
bracis-28430	152	16	arf	arf	PROPN
bracis-28430	152	17	consume	consume	VERB
bracis-28430	152	18	more	more	ADJ
bracis-28430	152	19	ram	ram	NOUN
bracis-28430	152	20	than	than	ADP
bracis-28430	152	21	nb	nb	PROPN
bracis-28430	152	22	.	.	PUNCT
bracis-28430	153	1	again	again	ADV
bracis-28430	153	2	,	,	PUNCT
bracis-28430	153	3	we	we	PRON
bracis-28430	153	4	highlight	highlight	VERB
bracis-28430	153	5	the	the	DET
bracis-28430	153	6	ram	ram	NOUN
bracis-28430	153	7	consumption	consumption	NOUN
bracis-28430	153	8	observed	observe	VERB
bracis-28430	153	9	by	by	ADP
bracis-28430	153	10	arf	arf	NOUN
bracis-28430	153	11	,	,	PUNCT
bracis-28430	153	12	which	which	PRON
bracis-28430	153	13	is	be	AUX
bracis-28430	153	14	approximately	approximately	ADV
bracis-28430	153	15	\(10^{8}\	\(10^{8}\	PROPN
bracis-28430	153	16	)	)	PUNCT
bracis-28430	153	17	times	time	NOUN
bracis-28430	153	18	higher	high	ADJ
bracis-28430	153	19	than	than	ADP
bracis-28430	153	20	its	its	PRON
bracis-28430	153	21	counterparts	counterpart	NOUN
bracis-28430	153	22	.	.	PUNCT
bracis-28430	154	1	finally	finally	ADV
bracis-28430	154	2	,	,	PUNCT
bracis-28430	154	3	the	the	DET
bracis-28430	154	4	energy	energy	NOUN
bracis-28430	154	5	consumption	consumption	NOUN
bracis-28430	154	6	values	value	NOUN
bracis-28430	154	7	depict	depict	VERB
bracis-28430	154	8	that	that	SCONJ
bracis-28430	154	9	nb	nb	PROPN
bracis-28430	154	10	is	be	AUX
bracis-28430	154	11	the	the	DET
bracis-28430	154	12	less	less	ADV
bracis-28430	154	13	-	-	PUNCT
bracis-28430	154	14	consuming	consume	VERB
bracis-28430	154	15	algorithm	algorithm	NOUN
bracis-28430	154	16	,	,	PUNCT
bracis-28430	154	17	which	which	PRON
bracis-28430	154	18	the	the	DET
bracis-28430	154	19	exception	exception	NOUN
bracis-28430	154	20	of	of	ADP
bracis-28430	154	21	hat	hat	NOUN
bracis-28430	154	22	in	in	ADP
bracis-28430	154	23	the	the	DET
bracis-28430	154	24	agr	agr	NOUN
bracis-28430	154	25	-	-	PUNCT
bracis-28430	154	26	d	d	NOUN
bracis-28430	154	27	experiment	experiment	NOUN
bracis-28430	154	28	.	.	PUNCT
bracis-28430	155	1	these	these	DET
bracis-28430	155	2	results	result	NOUN
bracis-28430	155	3	are	be	AUX
bracis-28430	155	4	expected	expect	VERB
bracis-28430	155	5	since	since	SCONJ
bracis-28430	155	6	nb	nb	PROPN
bracis-28430	155	7	is	be	AUX
bracis-28430	155	8	much	much	ADV
bracis-28430	155	9	faster	fast	ADJ
bracis-28430	155	10	and	and	CCONJ
bracis-28430	155	11	less	less	ADV
bracis-28430	155	12	memory	memory	NOUN
bracis-28430	155	13	-	-	PUNCT
bracis-28430	155	14	consuming	consume	VERB
bracis-28430	155	15	;	;	PUNCT
bracis-28430	155	16	thus	thus	ADV
bracis-28430	155	17	,	,	PUNCT
bracis-28430	155	18	less	less	ADJ
bracis-28430	155	19	energy	energy	NOUN
bracis-28430	155	20	is	be	AUX
bracis-28430	155	21	required	require	VERB
bracis-28430	155	22	to	to	PART
bracis-28430	155	23	finalize	finalize	VERB
bracis-28430	155	24	an	an	DET
bracis-28430	155	25	experiment	experiment	NOUN
bracis-28430	155	26	.	.	PUNCT
bracis-28430	156	1	regarding	regard	VERB
bracis-28430	156	2	the	the	DET
bracis-28430	156	3	agr	agr	NOUN
bracis-28430	156	4	-	-	PUNCT
bracis-28430	156	5	d	d	NOUN
bracis-28430	156	6	experiment	experiment	NOUN
bracis-28430	156	7	,	,	PUNCT
bracis-28430	156	8	it	it	PRON
bracis-28430	156	9	is	be	AUX
bracis-28430	156	10	relevant	relevant	ADJ
bracis-28430	156	11	to	to	PART
bracis-28430	156	12	emphasize	emphasize	VERB
bracis-28430	156	13	that	that	DET
bracis-28430	156	14	hat	hat	NOUN
bracis-28430	156	15	’s	’s	PART
bracis-28430	156	16	energy	energy	NOUN
bracis-28430	156	17	consumption	consumption	NOUN
bracis-28430	156	18	has	have	AUX
bracis-28430	156	19	decreased	decrease	VERB
bracis-28430	156	20	since	since	SCONJ
bracis-28430	156	21	it	it	PRON
bracis-28430	156	22	has	have	VERB
bracis-28430	156	23	a	a	DET
bracis-28430	156	24	drift	drift	NOUN
bracis-28430	156	25	detector	detector	NOUN
bracis-28430	156	26	that	that	PRON
bracis-28430	156	27	restarted	restart	VERB
bracis-28430	156	28	the	the	DET
bracis-28430	156	29	entire	entire	ADJ
bracis-28430	156	30	tree	tree	NOUN
bracis-28430	156	31	learning	learning	NOUN
bracis-28430	156	32	process	process	NOUN
bracis-28430	156	33	,	,	PUNCT
bracis-28430	156	34	i.e.	i.e.	X
bracis-28430	156	35	,	,	PUNCT
bracis-28430	156	36	it	it	PRON
bracis-28430	156	37	replaced	replace	VERB
bracis-28430	156	38	the	the	DET
bracis-28430	156	39	entire	entire	ADJ
bracis-28430	156	40	tree	tree	NOUN
bracis-28430	156	41	with	with	ADP
bracis-28430	156	42	a	a	DET
bracis-28430	156	43	single	single	ADJ
bracis-28430	156	44	decision	decision	NOUN
bracis-28430	156	45	stump	stump	NOUN
bracis-28430	156	46	,	,	PUNCT
bracis-28430	156	47	and	and	CCONJ
bracis-28430	156	48	thus	thus	ADV
bracis-28430	156	49	,	,	PUNCT
bracis-28430	156	50	its	its	PRON
bracis-28430	156	51	computational	computational	ADJ
bracis-28430	156	52	cost	cost	NOUN
bracis-28430	156	53	after	after	SCONJ
bracis-28430	156	54	the	the	DET
bracis-28430	156	55	drift	drift	NOUN
bracis-28430	156	56	has	have	AUX
bracis-28430	156	57	greatly	greatly	ADV
bracis-28430	156	58	decreased	decrease	VERB
bracis-28430	156	59	.	.	PUNCT
bracis-28430	157	1	this	this	PRON
bracis-28430	157	2	is	be	AUX
bracis-28430	157	3	a	a	DET
bracis-28430	157	4	relevant	relevant	ADJ
bracis-28430	157	5	scenario	scenario	NOUN
bracis-28430	157	6	in	in	ADP
bracis-28430	157	7	which	which	PRON
bracis-28430	157	8	energy	energy	NOUN
bracis-28430	157	9	consumption	consumption	NOUN
bracis-28430	157	10	is	be	AUX
bracis-28430	157	11	not	not	PART
bracis-28430	157	12	directly	directly	ADV
bracis-28430	157	13	related	relate	VERB
bracis-28430	157	14	to	to	ADP
bracis-28430	157	15	processing	processing	NOUN
bracis-28430	157	16	time	time	NOUN
bracis-28430	157	17	and	and	CCONJ
bracis-28430	157	18	memory	memory	NOUN
bracis-28430	157	19	consumption	consumption	NOUN
bracis-28430	157	20	,	,	PUNCT
bracis-28430	157	21	and	and	CCONJ
bracis-28430	157	22	it	it	PRON
bracis-28430	157	23	allows	allow	VERB
bracis-28430	157	24	a	a	DET
bracis-28430	157	25	better	well	ADJ
bracis-28430	157	26	analysis	analysis	NOUN
bracis-28430	157	27	by	by	ADP
bracis-28430	157	28	researchers	researcher	NOUN
bracis-28430	157	29	and	and	CCONJ
bracis-28430	157	30	practitioners	practitioner	NOUN
bracis-28430	157	31	on	on	ADP
bracis-28430	157	32	which	which	PRON
bracis-28430	157	33	classifier	classifier	NOUN
bracis-28430	157	34	should	should	AUX
bracis-28430	157	35	be	be	AUX
bracis-28430	157	36	used	use	VERB
bracis-28430	157	37	in	in	ADP
bracis-28430	157	38	a	a	DET
bracis-28430	157	39	specific	specific	ADJ
bracis-28430	157	40	scenario	scenario	NOUN
bracis-28430	157	41	.	.	PUNCT
bracis-28430	158	1	focusing	focus	VERB
bracis-28430	158	2	on	on	ADP
bracis-28430	158	3	arf	arf	NOUN
bracis-28430	158	4	,	,	PUNCT
bracis-28430	158	5	we	we	PRON
bracis-28430	158	6	also	also	ADV
bracis-28430	158	7	highlight	highlight	VERB
bracis-28430	158	8	that	that	SCONJ
bracis-28430	158	9	the	the	DET
bracis-28430	158	10	energy	energy	NOUN
bracis-28430	158	11	consumption	consumption	NOUN
bracis-28430	158	12	rates	rate	NOUN
bracis-28430	158	13	are	be	AUX
bracis-28430	158	14	not	not	PART
bracis-28430	158	15	directly	directly	ADV
bracis-28430	158	16	related	relate	VERB
bracis-28430	158	17	to	to	ADP
bracis-28430	158	18	either	either	DET
bracis-28430	158	19	processing	processing	NOUN
bracis-28430	158	20	time	time	NOUN
bracis-28430	158	21	and	and	CCONJ
bracis-28430	158	22	memory	memory	NOUN
bracis-28430	158	23	consumption	consumption	NOUN
bracis-28430	158	24	rates	rate	NOUN
bracis-28430	158	25	since	since	SCONJ
bracis-28430	158	26	,	,	PUNCT
bracis-28430	158	27	despite	despite	SCONJ
bracis-28430	158	28	taking	take	VERB
bracis-28430	158	29	much	much	ADV
bracis-28430	158	30	more	more	ADJ
bracis-28430	158	31	time	time	NOUN
bracis-28430	158	32	and	and	CCONJ
bracis-28430	158	33	memory	memory	NOUN
bracis-28430	158	34	to	to	PART
bracis-28430	158	35	run	run	VERB
bracis-28430	158	36	,	,	PUNCT
bracis-28430	158	37	its	its	PRON
bracis-28430	158	38	energy	energy	NOUN
bracis-28430	158	39	consumption	consumption	NOUN
bracis-28430	158	40	was	be	AUX
bracis-28430	158	41	roughly	roughly	ADV
bracis-28430	158	42	twice	twice	ADV
bracis-28430	158	43	when	when	SCONJ
bracis-28430	158	44	compared	compare	VERB
bracis-28430	158	45	to	to	ADP
bracis-28430	158	46	its	its	PRON
bracis-28430	158	47	counterparts	counterpart	NOUN
bracis-28430	158	48	.	.	PUNCT
bracis-28430	159	1	this	this	DET
bracis-28430	159	2	result	result	NOUN
bracis-28430	159	3	can	can	AUX
bracis-28430	159	4	be	be	AUX
bracis-28430	159	5	explained	explain	VERB
bracis-28430	159	6	due	due	ADP
bracis-28430	159	7	to	to	ADP
bracis-28430	159	8	arf	arf	PROPN
bracis-28430	159	9	’s	’s	PART
bracis-28430	159	10	implementation	implementation	NOUN
bracis-28430	159	11	,	,	PUNCT
bracis-28430	159	12	which	which	PRON
bracis-28430	159	13	is	be	AUX
bracis-28430	159	14	multi	multi	ADJ
bracis-28430	159	15	-	-	ADJ
bracis-28430	159	16	threaded	threaded	ADJ
bracis-28430	159	17	,	,	PUNCT
bracis-28430	159	18	and	and	CCONJ
bracis-28430	159	19	even	even	ADV
bracis-28430	159	20	by	by	ADP
bracis-28430	159	21	combining	combine	VERB
bracis-28430	159	22	100	100	NUM
bracis-28430	159	23	learners	learner	NOUN
bracis-28430	159	24	the	the	DET
bracis-28430	159	25	energy	energy	NOUN
bracis-28430	159	26	consumption	consumption	NOUN
bracis-28430	159	27	is	be	AUX
bracis-28430	159	28	not	not	PART
bracis-28430	159	29	100	100	NUM
bracis-28430	159	30	times	time	NOUN
bracis-28430	159	31	greater	great	ADJ
bracis-28430	159	32	than	than	ADP
bracis-28430	159	33	its	its	PRON
bracis-28430	159	34	counterparts	counterpart	NOUN
bracis-28430	159	35	.	.	PUNCT
bracis-28430	160	1	table	table	NOUN
bracis-28430	160	2	1	1	NUM
bracis-28430	160	3	.	.	PUNCT
bracis-28430	161	1	accuracy	accuracy	NOUN
bracis-28430	161	2	results	result	NOUN
bracis-28430	161	3	obtained	obtain	VERB
bracis-28430	161	4	during	during	ADP
bracis-28430	161	5	experimentation.full	experimentation.full	NUM
bracis-28430	161	6	size	size	NOUN
bracis-28430	161	7	table	table	NOUN
bracis-28430	161	8	table	table	NOUN
bracis-28430	161	9	2	2	NUM
bracis-28430	161	10	.	.	PUNCT
bracis-28430	161	11	memory	memory	NOUN
bracis-28430	161	12	consumption	consumption	NOUN
bracis-28430	161	13	results	result	NOUN
bracis-28430	161	14	obtained	obtain	VERB
bracis-28430	161	15	during	during	ADP
bracis-28430	161	16	experimentation.full	experimentation.full	NUM
bracis-28430	161	17	size	size	NOUN
bracis-28430	161	18	table	table	NOUN
bracis-28430	161	19	table	table	NOUN
bracis-28430	161	20	3	3	NUM
bracis-28430	161	21	.	.	PUNCT
bracis-28430	161	22	processing	processing	NOUN
bracis-28430	161	23	time	time	NOUN
bracis-28430	161	24	results	result	NOUN
bracis-28430	161	25	obtained	obtain	VERB
bracis-28430	161	26	during	during	ADP
bracis-28430	161	27	experimentation.full	experimentation.full	NUM
bracis-28430	161	28	size	size	NOUN
bracis-28430	161	29	table	table	NOUN
bracis-28430	161	30	table	table	NOUN
bracis-28430	161	31	4	4	NUM
bracis-28430	161	32	.	.	PUNCT
bracis-28430	161	33	energy	energy	NOUN
bracis-28430	161	34	consumption	consumption	NOUN
bracis-28430	161	35	results	result	NOUN
bracis-28430	161	36	obtained	obtain	VERB
bracis-28430	161	37	during	during	ADP
bracis-28430	161	38	experimentation.full	experimentation.full	NUM
bracis-28430	161	39	size	size	NOUN
bracis-28430	161	40	table	table	NOUN
bracis-28430	161	41	6	6	NUM
bracis-28430	161	42	conclusion	conclusion	NOUN
bracis-28430	161	43	in	in	ADP
bracis-28430	161	44	this	this	DET
bracis-28430	161	45	work	work	NOUN
bracis-28430	161	46	,	,	PUNCT
bracis-28430	161	47	we	we	PRON
bracis-28430	161	48	brought	bring	VERB
bracis-28430	161	49	forward	forward	ADP
bracis-28430	161	50	a	a	DET
bracis-28430	161	51	tool	tool	NOUN
bracis-28430	161	52	for	for	ADP
bracis-28430	161	53	quantifying	quantify	VERB
bracis-28430	161	54	energy	energy	NOUN
bracis-28430	161	55	consumption	consumption	NOUN
bracis-28430	161	56	in	in	ADP
bracis-28430	161	57	data	datum	NOUN
bracis-28430	161	58	stream	stream	NOUN
bracis-28430	161	59	mining	mining	NOUN
bracis-28430	161	60	.	.	PUNCT
bracis-28430	162	1	our	our	PRON
bracis-28430	162	2	tool	tool	NOUN
bracis-28430	162	3	was	be	AUX
bracis-28430	162	4	embedded	embed	VERB
bracis-28430	162	5	within	within	ADP
bracis-28430	162	6	the	the	DET
bracis-28430	162	7	massive	massive	ADJ
bracis-28430	162	8	online	online	ADJ
bracis-28430	162	9	analysis	analysis	NOUN
bracis-28430	162	10	(	(	PUNCT
bracis-28430	162	11	moa	moa	NOUN
bracis-28430	162	12	)	)	PUNCT
bracis-28430	162	13	framework	framework	NOUN
bracis-28430	162	14	,	,	PUNCT
bracis-28430	162	15	thus	thus	ADV
bracis-28430	162	16	allowing	allow	VERB
bracis-28430	162	17	researchers	researcher	NOUN
bracis-28430	162	18	to	to	PART
bracis-28430	162	19	rapidly	rapidly	ADV
bracis-28430	162	20	quantify	quantify	VERB
bracis-28430	162	21	the	the	DET
bracis-28430	162	22	energy	energy	NOUN
bracis-28430	162	23	consumption	consumption	NOUN
bracis-28430	162	24	of	of	ADP
bracis-28430	162	25	different	different	ADJ
bracis-28430	162	26	classification	classification	NOUN
bracis-28430	162	27	methods	method	NOUN
bracis-28430	162	28	under	under	ADP
bracis-28430	162	29	different	different	ADJ
bracis-28430	162	30	streaming	streaming	NOUN
bracis-28430	162	31	settings	setting	NOUN
bracis-28430	162	32	and	and	CCONJ
bracis-28430	162	33	validation	validation	NOUN
bracis-28430	162	34	processes	process	NOUN
bracis-28430	162	35	.	.	PUNCT
bracis-28430	163	1	to	to	PART
bracis-28430	163	2	validate	validate	VERB
bracis-28430	163	3	our	our	PRON
bracis-28430	163	4	proposal	proposal	NOUN
bracis-28430	163	5	,	,	PUNCT
bracis-28430	163	6	we	we	PRON
bracis-28430	163	7	first	first	ADV
bracis-28430	163	8	conducted	conduct	VERB
bracis-28430	163	9	a	a	DET
bracis-28430	163	10	testbed	testbed	NOUN
bracis-28430	163	11	using	use	VERB
bracis-28430	163	12	a	a	DET
bracis-28430	163	13	processor	processor	NOUN
bracis-28430	163	14	stress	stress	NOUN
bracis-28430	163	15	to	to	PART
bracis-28430	163	16	compare	compare	VERB
bracis-28430	163	17	the	the	DET
bracis-28430	163	18	proposed	propose	VERB
bracis-28430	163	19	software	software	NOUN
bracis-28430	163	20	readings	reading	NOUN
bracis-28430	163	21	against	against	ADP
bracis-28430	163	22	a	a	DET
bracis-28430	163	23	hardware	hardware	NOUN
bracis-28430	163	24	wall	wall	NOUN
bracis-28430	163	25	plug	plug	PROPN
bracis-28430	163	26	.	.	PUNCT
bracis-28430	164	1	next	next	ADV
bracis-28430	164	2	,	,	PUNCT
bracis-28430	164	3	we	we	PRON
bracis-28430	164	4	tested	test	VERB
bracis-28430	164	5	different	different	ADJ
bracis-28430	164	6	classifiers	classifier	NOUN
bracis-28430	164	7	in	in	ADP
bracis-28430	164	8	stationary	stationary	ADJ
bracis-28430	164	9	and	and	CCONJ
bracis-28430	164	10	drifting	drift	VERB
bracis-28430	164	11	scenarios	scenario	NOUN
bracis-28430	164	12	in	in	ADP
bracis-28430	164	13	a	a	DET
bracis-28430	164	14	prequential	prequential	ADJ
bracis-28430	164	15	validation	validation	NOUN
bracis-28430	164	16	scheme	scheme	NOUN
bracis-28430	164	17	.	.	PUNCT
bracis-28430	165	1	results	result	NOUN
bracis-28430	165	2	showed	show	VERB
bracis-28430	165	3	that	that	SCONJ
bracis-28430	165	4	our	our	PRON
bracis-28430	165	5	tool	tool	NOUN
bracis-28430	165	6	allows	allow	VERB
bracis-28430	165	7	the	the	DET
bracis-28430	165	8	identification	identification	NOUN
bracis-28430	165	9	of	of	ADP
bracis-28430	165	10	energy	energy	NOUN
bracis-28430	165	11	consumption	consumption	NOUN
bracis-28430	165	12	rates	rate	NOUN
bracis-28430	165	13	of	of	ADP
bracis-28430	165	14	different	different	ADJ
bracis-28430	165	15	classifiers	classifier	NOUN
bracis-28430	165	16	under	under	ADP
bracis-28430	165	17	different	different	ADJ
bracis-28430	165	18	scenarios	scenario	NOUN
bracis-28430	165	19	,	,	PUNCT
bracis-28430	165	20	i.e.	i.e.	X
bracis-28430	165	21	,	,	PUNCT
bracis-28430	165	22	drifting	drifting	NOUN
bracis-28430	165	23	and	and	CCONJ
bracis-28430	165	24	non	non	ADJ
bracis-28430	165	25	-	-	ADJ
bracis-28430	165	26	drifting	drift	VERB
bracis-28430	165	27	data	datum	NOUN
bracis-28430	165	28	streams	stream	NOUN
bracis-28430	165	29	.	.	PUNCT
bracis-28430	166	1	the	the	DET
bracis-28430	166	2	energy	energy	NOUN
bracis-28430	166	3	consumption	consumption	NOUN
bracis-28430	166	4	rates	rate	NOUN
bracis-28430	166	5	allow	allow	VERB
bracis-28430	166	6	a	a	DET
bracis-28430	166	7	more	more	ADV
bracis-28430	166	8	fine	fine	ADV
bracis-28430	166	9	-	-	PUNCT
bracis-28430	166	10	grained	grain	VERB
bracis-28430	166	11	analysis	analysis	NOUN
bracis-28430	166	12	of	of	ADP
bracis-28430	166	13	the	the	DET
bracis-28430	166	14	classifiers	classifier	NOUN
bracis-28430	166	15	as	as	SCONJ
bracis-28430	166	16	energy	energy	NOUN
bracis-28430	166	17	consumption	consumption	NOUN
bracis-28430	166	18	is	be	AUX
bracis-28430	166	19	not	not	PART
bracis-28430	166	20	directly	directly	ADV
bracis-28430	166	21	tied	tie	VERB
bracis-28430	166	22	with	with	ADP
bracis-28430	166	23	processing	processing	NOUN
bracis-28430	166	24	time	time	NOUN
bracis-28430	166	25	and	and	CCONJ
bracis-28430	166	26	memory	memory	NOUN
bracis-28430	166	27	consumption	consumption	NOUN
bracis-28430	166	28	,	,	PUNCT
bracis-28430	166	29	especially	especially	ADV
bracis-28430	166	30	under	under	ADP
bracis-28430	166	31	concept	concept	NOUN
bracis-28430	166	32	drifting	drift	VERB
bracis-28430	166	33	scenarios	scenario	NOUN
bracis-28430	166	34	and	and	CCONJ
bracis-28430	166	35	multi	multi	ADJ
bracis-28430	166	36	-	-	ADJ
bracis-28430	166	37	threading	threading	ADJ
bracis-28430	166	38	implementations	implementation	NOUN
bracis-28430	166	39	.	.	PUNCT
bracis-28430	167	1	in	in	ADP
bracis-28430	167	2	future	future	ADJ
bracis-28430	167	3	works	work	NOUN
bracis-28430	167	4	,	,	PUNCT
bracis-28430	167	5	we	we	PRON
bracis-28430	167	6	plan	plan	VERB
bracis-28430	167	7	to	to	PART
bracis-28430	167	8	extend	extend	VERB
bracis-28430	167	9	our	our	PRON
bracis-28430	167	10	tool	tool	NOUN
bracis-28430	167	11	to	to	PART
bracis-28430	167	12	encompass	encompass	VERB
bracis-28430	167	13	different	different	ADJ
bracis-28430	167	14	classification	classification	NOUN
bracis-28430	167	15	,	,	PUNCT
bracis-28430	167	16	regression	regression	NOUN
bracis-28430	167	17	,	,	PUNCT
bracis-28430	167	18	and	and	CCONJ
bracis-28430	167	19	clustering	cluster	VERB
bracis-28430	167	20	validation	validation	NOUN
bracis-28430	167	21	schemes	scheme	NOUN
bracis-28430	167	22	,	,	PUNCT
bracis-28430	167	23	including	include	VERB
bracis-28430	167	24	more	more	ADJ
bracis-28430	167	25	datasets	dataset	NOUN
bracis-28430	167	26	and	and	CCONJ
bracis-28430	167	27	scenarios	scenario	NOUN
bracis-28430	167	28	.	.	PUNCT
bracis-28430	168	1	we	we	PRON
bracis-28430	168	2	also	also	ADV
bracis-28430	168	3	plan	plan	VERB
bracis-28430	168	4	to	to	PART
bracis-28430	168	5	port	port	VERB
bracis-28430	168	6	our	our	PRON
bracis-28430	168	7	tool	tool	NOUN
bracis-28430	168	8	to	to	ADP
bracis-28430	168	9	python	python	NOUN
bracis-28430	168	10	-	-	PUNCT
bracis-28430	168	11	based	base	VERB
bracis-28430	168	12	frameworks	framework	NOUN
bracis-28430	168	13	,	,	PUNCT
bracis-28430	168	14	such	such	ADJ
bracis-28430	168	15	as	as	ADP
bracis-28430	168	16	river	river	NOUN
bracis-28430	168	17	[	[	X
bracis-28430	168	18	25	25	NUM
bracis-28430	168	19	]	]	PUNCT
bracis-28430	168	20	.	.	PUNCT
bracis-28430	169	1	finally	finally	ADV
bracis-28430	169	2	,	,	PUNCT
bracis-28430	169	3	we	we	PRON
bracis-28430	169	4	also	also	ADV
bracis-28430	169	5	plan	plan	VERB
bracis-28430	169	6	to	to	PART
bracis-28430	169	7	make	make	VERB
bracis-28430	169	8	our	our	PRON
bracis-28430	169	9	tool	tool	NOUN
bracis-28430	169	10	available	available	ADJ
bracis-28430	169	11	in	in	ADP
bracis-28430	169	12	amd	amd	PROPN
bracis-28430	169	13	and	and	CCONJ
bracis-28430	169	14	apple	apple	NOUN
bracis-28430	169	15	’s	’s	PART
bracis-28430	169	16	arm	arm	NOUN
bracis-28430	169	17	platforms	platform	NOUN
bracis-28430	169	18	and	and	CCONJ
bracis-28430	169	19	add	add	VERB
bracis-28430	169	20	support	support	NOUN
bracis-28430	169	21	to	to	ADP
bracis-28430	169	22	gpu	gpu	VERB
bracis-28430	169	23	consumption	consumption	NOUN
bracis-28430	169	24	since	since	SCONJ
bracis-28430	169	25	neural	neural	ADJ
bracis-28430	169	26	networks	network	NOUN
bracis-28430	169	27	are	be	AUX
bracis-28430	169	28	increasingly	increasingly	ADV
bracis-28430	169	29	used	use	VERB
bracis-28430	169	30	in	in	ADP
bracis-28430	169	31	streaming	streaming	NOUN
bracis-28430	169	32	settings	setting	NOUN
bracis-28430	169	33	[	[	X
bracis-28430	169	34	20	20	NUM
bracis-28430	169	35	]	]	PUNCT
bracis-28430	169	36	.	.	PUNCT
bracis-28430	170	1	references	reference	NOUN
bracis-28430	170	2	agrawal	agrawal	PROPN
bracis-28430	170	3	,	,	PUNCT
bracis-28430	170	4	r.	r.	PROPN
bracis-28430	170	5	,	,	PUNCT
bracis-28430	170	6	imielinski	imielinski	PROPN
bracis-28430	170	7	,	,	PUNCT
bracis-28430	170	8	t.	t.	PROPN
bracis-28430	170	9	,	,	PUNCT
bracis-28430	170	10	swami	swami	PROPN
bracis-28430	170	11	,	,	PUNCT
bracis-28430	170	12	a.	a.	NOUN
bracis-28430	170	13	:	:	PUNCT
bracis-28430	170	14	database	database	PROPN
bracis-28430	170	15	mining	mining	NOUN
bracis-28430	170	16	:	:	PUNCT
bracis-28430	170	17	a	a	DET
bracis-28430	170	18	performance	performance	NOUN
bracis-28430	170	19	perspective	perspective	NOUN
bracis-28430	170	20	.	.	PUNCT
bracis-28430	171	1	ieee	ieee	PROPN
bracis-28430	171	2	trans	trans	PROPN
bracis-28430	171	3	.	.	PROPN
bracis-28430	172	1	knowl	knowl	PROPN
bracis-28430	172	2	.	.	PUNCT
bracis-28430	173	1	data	data	PROPN
bracis-28430	173	2	eng	eng	PROPN
bracis-28430	173	3	.	.	PROPN
bracis-28430	173	4	5(6	5(6	NUM
bracis-28430	173	5	)	)	PUNCT
bracis-28430	173	6	,	,	PUNCT
bracis-28430	173	7	914–925	914–925	NUM
bracis-28430	173	8	(	(	PUNCT
bracis-28430	173	9	1993	1993	NUM
bracis-28430	173	10	)	)	PUNCT
bracis-28430	173	11	article	article	NOUN
bracis-28430	173	12	  	  	SPACE
bracis-28430	173	13	google	google	PROPN
bracis-28430	173	14	scholar	scholar	NOUN
bracis-28430	173	15	  	  	SPACE
bracis-28430	173	16	barddal	barddal	NOUN
bracis-28430	173	17	,	,	PUNCT
bracis-28430	173	18	j.p	j.p	PROPN
bracis-28430	173	19	.	.	PROPN
bracis-28430	173	20	,	,	PUNCT
bracis-28430	173	21	murilo	murilo	PROPN
bracis-28430	173	22	gomes	gomes	PROPN
bracis-28430	173	23	,	,	PUNCT
bracis-28430	173	24	h.	h.	PROPN
bracis-28430	173	25	,	,	PUNCT
bracis-28430	173	26	enembreck	enembreck	NOUN
bracis-28430	173	27	,	,	PUNCT
bracis-28430	173	28	f.	f.	PROPN
bracis-28430	173	29	,	,	PUNCT
bracis-28430	173	30	pfahringer	pfahringer	NOUN
bracis-28430	173	31	,	,	PUNCT
bracis-28430	173	32	b.	b.	PROPN
bracis-28430	173	33	,	,	PUNCT
bracis-28430	173	34	bifet	bifet	PROPN
bracis-28430	173	35	,	,	PUNCT
bracis-28430	173	36	a.	a.	NOUN
bracis-28430	173	37	:	:	PUNCT
bracis-28430	173	38	on	on	ADP
bracis-28430	173	39	dynamic	dynamic	ADJ
bracis-28430	173	40	feature	feature	NOUN
bracis-28430	173	41	weighting	weight	VERB
bracis-28430	173	42	for	for	ADP
bracis-28430	173	43	feature	feature	NOUN
bracis-28430	173	44	drifting	drift	VERB
bracis-28430	173	45	data	datum	NOUN
bracis-28430	173	46	streams	stream	NOUN
bracis-28430	173	47	.	.	PUNCT
bracis-28430	174	1	in	in	ADP
bracis-28430	174	2	:	:	PUNCT
bracis-28430	174	3	frasconi	frasconi	ADJ
bracis-28430	174	4	,	,	PUNCT
bracis-28430	174	5	p.	p.	NOUN
bracis-28430	174	6	,	,	PUNCT
bracis-28430	174	7	landwehr	landwehr	NOUN
bracis-28430	174	8	,	,	PUNCT
bracis-28430	174	9	n.	n.	NOUN
bracis-28430	174	10	,	,	PUNCT
bracis-28430	174	11	manco	manco	PROPN
bracis-28430	174	12	,	,	PUNCT
bracis-28430	174	13	g.	g.	PROPN
bracis-28430	174	14	,	,	PUNCT
bracis-28430	174	15	vreeken	vreeken	VERB
bracis-28430	174	16	,	,	PUNCT
bracis-28430	174	17	j.	j.	PROPN
bracis-28430	174	18	(	(	PUNCT
bracis-28430	174	19	eds	eds	PROPN
bracis-28430	174	20	.	.	PUNCT
bracis-28430	174	21	)	)	PUNCT
bracis-28430	174	22	ecml	ecml	PROPN
bracis-28430	174	23	pkdd	pkdd	NOUN
bracis-28430	174	24	2016	2016	NUM
bracis-28430	174	25	.	.	PUNCT
bracis-28430	175	1	lncs	lncs	PROPN
bracis-28430	175	2	(	(	PUNCT
bracis-28430	175	3	lnai	lnai	ADJ
bracis-28430	175	4	)	)	PUNCT
bracis-28430	175	5	,	,	PUNCT
bracis-28430	175	6	vol	vol	NOUN
bracis-28430	175	7	.	.	PROPN
bracis-28430	175	8	9852	9852	NUM
bracis-28430	175	9	,	,	PUNCT
bracis-28430	175	10	pp	pp	ADP
bracis-28430	175	11	.	.	PUNCT
bracis-28430	176	1	129–144	129–144	NUM
bracis-28430	176	2	.	.	PUNCT
bracis-28430	176	3	springer	springer	NOUN
bracis-28430	176	4	,	,	PUNCT
bracis-28430	176	5	cham	cham	PROPN
bracis-28430	176	6	(	(	PUNCT
bracis-28430	176	7	2016	2016	NUM
bracis-28430	176	8	)	)	PUNCT
bracis-28430	176	9	.	.	PUNCT
bracis-28430	177	1	https://doi.org/10.1007/978-3-319-46227-1_9	https://doi.org/10.1007/978-3-319-46227-1_9	PROPN
bracis-28430	177	2	chapter	chapter	NOUN
bracis-28430	177	3	  	  	SPACE
bracis-28430	177	4	google	google	PROPN
bracis-28430	177	5	scholar	scholar	NOUN
bracis-28430	177	6	  	  	SPACE
bracis-28430	177	7	bifet	bifet	PROPN
bracis-28430	177	8	,	,	PUNCT
bracis-28430	177	9	a.	a.	NOUN
bracis-28430	177	10	,	,	PUNCT
bracis-28430	177	11	gavalda	gavalda	PROPN
bracis-28430	177	12	,	,	PUNCT
bracis-28430	177	13	r.	r.	PROPN
bracis-28430	177	14	:	:	PUNCT
bracis-28430	177	15	learning	learn	VERB
bracis-28430	177	16	from	from	ADP
bracis-28430	177	17	time	time	NOUN
bracis-28430	177	18	-	-	PUNCT
bracis-28430	177	19	changing	change	VERB
bracis-28430	177	20	data	datum	NOUN
bracis-28430	177	21	with	with	ADP
bracis-28430	177	22	adaptive	adaptive	ADJ
bracis-28430	177	23	windowing	windowing	NOUN
bracis-28430	177	24	.	.	PUNCT
bracis-28430	178	1	in	in	ADP
bracis-28430	178	2	:	:	PUNCT
bracis-28430	178	3	proceedings	proceeding	NOUN
bracis-28430	178	4	of	of	ADP
bracis-28430	178	5	the	the	DET
bracis-28430	178	6	2007	2007	NUM
bracis-28430	178	7	siam	siam	PROPN
bracis-28430	178	8	international	international	ADJ
bracis-28430	178	9	conference	conference	NOUN
bracis-28430	178	10	on	on	ADP
bracis-28430	178	11	data	datum	NOUN
bracis-28430	178	12	mining	mining	NOUN
bracis-28430	178	13	,	,	PUNCT
bracis-28430	178	14	pp	pp	ADJ
bracis-28430	178	15	.	.	PUNCT
bracis-28430	179	1	443–448	443–448	NUM
bracis-28430	179	2	.	.	PUNCT
bracis-28430	180	1	siam	siam	PROPN
bracis-28430	180	2	(	(	PUNCT
bracis-28430	180	3	2007	2007	NUM
bracis-28430	180	4	)	)	PUNCT
bracis-28430	180	5	google	google	PROPN
bracis-28430	180	6	scholar	scholar	NOUN
bracis-28430	180	7	  	  	SPACE
bracis-28430	180	8	bifet	bifet	PROPN
bracis-28430	180	9	,	,	PUNCT
bracis-28430	180	10	a.	a.	NOUN
bracis-28430	180	11	,	,	PUNCT
bracis-28430	180	12	gavaldà	gavaldà	PROPN
bracis-28430	180	13	,	,	PUNCT
bracis-28430	180	14	r.	r.	PROPN
bracis-28430	180	15	:	:	PUNCT
bracis-28430	180	16	adaptive	adaptive	PROPN
bracis-28430	180	17	learning	learn	VERB
bracis-28430	180	18	from	from	ADP
bracis-28430	180	19	evolving	evolve	VERB
bracis-28430	180	20	data	datum	NOUN
bracis-28430	180	21	streams	stream	NOUN
bracis-28430	180	22	.	.	PUNCT
bracis-28430	181	1	in	in	ADP
bracis-28430	181	2	:	:	PUNCT
bracis-28430	181	3	adams	adams	PROPN
bracis-28430	181	4	,	,	PUNCT
bracis-28430	181	5	n.m	n.m	PROPN
bracis-28430	181	6	.	.	PROPN
bracis-28430	181	7	,	,	PUNCT
bracis-28430	181	8	robardet	robardet	PROPN
bracis-28430	181	9	,	,	PUNCT
bracis-28430	181	10	c.	c.	PROPN
bracis-28430	181	11	,	,	PUNCT
bracis-28430	181	12	siebes	siebe	NOUN
bracis-28430	181	13	,	,	PUNCT
bracis-28430	181	14	a.	a.	NOUN
bracis-28430	181	15	,	,	PUNCT
bracis-28430	181	16	boulicaut	boulicaut	NOUN
bracis-28430	181	17	,	,	PUNCT
bracis-28430	181	18	j.-f	j.-f	PROPN
bracis-28430	181	19	.	.	PUNCT
bracis-28430	182	1	(	(	PUNCT
bracis-28430	182	2	eds	ed	NOUN
bracis-28430	182	3	.	.	PUNCT
bracis-28430	182	4	)	)	PUNCT
bracis-28430	183	1	ida	ida	PROPN
bracis-28430	183	2	2009	2009	NUM
bracis-28430	183	3	.	.	PUNCT
bracis-28430	184	1	lncs	lncs	PROPN
bracis-28430	184	2	,	,	PUNCT
bracis-28430	184	3	vol	vol	NOUN
bracis-28430	184	4	.	.	PROPN
bracis-28430	184	5	5772	5772	NUM
bracis-28430	184	6	,	,	PUNCT
bracis-28430	184	7	pp	pp	ADJ
bracis-28430	184	8	.	.	PUNCT
bracis-28430	185	1	249–260	249–260	NUM
bracis-28430	185	2	.	.	PUNCT
bracis-28430	185	3	springer	springer	NOUN
bracis-28430	185	4	,	,	PUNCT
bracis-28430	185	5	heidelberg	heidelberg	PROPN
bracis-28430	185	6	(	(	PUNCT
bracis-28430	185	7	2009	2009	NUM
bracis-28430	185	8	)	)	PUNCT
bracis-28430	185	9	.	.	PUNCT
bracis-28430	186	1	https://doi.org/10.1007/978-3-642-03915-7_22	https://doi.org/10.1007/978-3-642-03915-7_22	PROPN
bracis-28430	186	2	chapter	chapter	NOUN
bracis-28430	186	3	  	  	SPACE
bracis-28430	186	4	google	google	PROPN
bracis-28430	186	5	scholar	scholar	NOUN
bracis-28430	186	6	  	  	SPACE
bracis-28430	186	7	bifet	bifet	PROPN
bracis-28430	186	8	,	,	PUNCT
bracis-28430	186	9	a.	a.	NOUN
bracis-28430	186	10	,	,	PUNCT
bracis-28430	186	11	gavalda	gavalda	PROPN
bracis-28430	186	12	,	,	PUNCT
bracis-28430	186	13	r.	r.	PROPN
bracis-28430	186	14	,	,	PUNCT
bracis-28430	186	15	holmes	holmes	PROPN
bracis-28430	186	16	,	,	PUNCT
bracis-28430	186	17	g.	g.	PROPN
bracis-28430	186	18	,	,	PUNCT
bracis-28430	186	19	pfahringer	pfahringer	NOUN
bracis-28430	186	20	,	,	PUNCT
bracis-28430	186	21	b.	b.	PROPN
bracis-28430	186	22	:	:	PUNCT
bracis-28430	187	1	machine	machine	NOUN
bracis-28430	187	2	learning	learn	VERB
bracis-28430	187	3	for	for	ADP
bracis-28430	187	4	data	datum	NOUN
bracis-28430	187	5	streams	stream	NOUN
bracis-28430	187	6	:	:	PUNCT
bracis-28430	187	7	with	with	ADP
bracis-28430	187	8	practical	practical	ADJ
bracis-28430	187	9	examples	example	NOUN
bracis-28430	187	10	in	in	ADP
bracis-28430	187	11	moa	moa	NOUN
bracis-28430	187	12	.	.	PUNCT
bracis-28430	188	1	mit	mit	PROPN
bracis-28430	188	2	press	press	PROPN
bracis-28430	188	3	,	,	PUNCT
bracis-28430	188	4	cambridge	cambridge	PROPN
bracis-28430	188	5	(	(	PUNCT
bracis-28430	188	6	2023	2023	NUM
bracis-28430	188	7	)	)	PUNCT
bracis-28430	188	8	google	google	NOUN
bracis-28430	188	9	scholar	scholar	NOUN
bracis-28430	188	10	  	  	SPACE
bracis-28430	188	11	bifet	bifet	PROPN
bracis-28430	188	12	,	,	PUNCT
bracis-28430	188	13	a.	a.	NOUN
bracis-28430	188	14	,	,	PUNCT
bracis-28430	188	15	holmes	holmes	PROPN
bracis-28430	188	16	,	,	PUNCT
bracis-28430	188	17	g.	g.	PROPN
bracis-28430	188	18	,	,	PUNCT
bracis-28430	188	19	kirkby	kirkby	NOUN
bracis-28430	188	20	,	,	PUNCT
bracis-28430	188	21	r.	r.	PROPN
bracis-28430	188	22	,	,	PUNCT
bracis-28430	188	23	pfahringer	pfahringer	NOUN
bracis-28430	188	24	,	,	PUNCT
bracis-28430	188	25	b.	b.	PROPN
bracis-28430	188	26	:	:	PUNCT
bracis-28430	188	27	moa	moa	NOUN
bracis-28430	188	28	:	:	PUNCT
bracis-28430	188	29	massive	massive	ADJ
bracis-28430	188	30	online	online	ADJ
bracis-28430	188	31	analysis	analysis	NOUN
bracis-28430	188	32	.	.	PUNCT
bracis-28430	189	1	j.	j.	PROPN
bracis-28430	189	2	mach	mach	PROPN
bracis-28430	189	3	.	.	PUNCT
bracis-28430	190	1	learn	learn	VERB
bracis-28430	190	2	.	.	PUNCT
bracis-28430	191	1	res	re	NOUN
bracis-28430	191	2	.	.	PUNCT
bracis-28430	192	1	11(52	11(52	NUM
bracis-28430	192	2	)	)	PUNCT
bracis-28430	192	3	,	,	PUNCT
bracis-28430	192	4	1601–1604	1601–1604	NUM
bracis-28430	192	5	(	(	PUNCT
bracis-28430	192	6	2010	2010	NUM
bracis-28430	192	7	)	)	PUNCT
bracis-28430	192	8	.	.	PUNCT
bracis-28430	193	1	http://jmlr.org/papers/v11/bifet10a.html	http://jmlr.org/papers/v11/bifet10a.html	PROPN
bracis-28430	193	2	david	david	PROPN
bracis-28430	193	3	,	,	PUNCT
bracis-28430	193	4	h.	h.	PROPN
bracis-28430	193	5	,	,	PUNCT
bracis-28430	193	6	gorbatov	gorbatov	PROPN
bracis-28430	193	7	,	,	PUNCT
bracis-28430	193	8	e.	e.	PROPN
bracis-28430	193	9	,	,	PUNCT
bracis-28430	193	10	hanebutte	hanebutte	PROPN
bracis-28430	193	11	,	,	PUNCT
bracis-28430	193	12	u.r	u.r	PROPN
bracis-28430	193	13	.	.	PROPN
bracis-28430	193	14	,	,	PUNCT
bracis-28430	193	15	khanna	khanna	PROPN
bracis-28430	193	16	,	,	PUNCT
bracis-28430	193	17	r.	r.	PROPN
bracis-28430	193	18	,	,	PUNCT
bracis-28430	193	19	le	le	PROPN
bracis-28430	193	20	,	,	PUNCT
bracis-28430	193	21	c.	c.	PROPN
bracis-28430	193	22	:	:	PUNCT
bracis-28430	193	23	rapl	rapl	NOUN
bracis-28430	193	24	:	:	PUNCT
bracis-28430	193	25	memory	memory	NOUN
bracis-28430	193	26	power	power	NOUN
bracis-28430	193	27	estimation	estimation	NOUN
bracis-28430	193	28	and	and	CCONJ
bracis-28430	193	29	capping	capping	NOUN
bracis-28430	193	30	.	.	PUNCT
bracis-28430	194	1	in	in	ADP
bracis-28430	194	2	:	:	PUNCT
bracis-28430	194	3	proceedings	proceeding	NOUN
bracis-28430	194	4	of	of	ADP
bracis-28430	194	5	the	the	DET
bracis-28430	194	6	16th	16th	ADJ
bracis-28430	194	7	acm	acm	PROPN
bracis-28430	194	8	/	/	SYM
bracis-28430	194	9	ieee	ieee	PROPN
bracis-28430	194	10	international	international	ADJ
bracis-28430	194	11	symposium	symposium	NOUN
bracis-28430	194	12	on	on	ADP
bracis-28430	194	13	low	low	ADJ
bracis-28430	194	14	power	power	NOUN
bracis-28430	194	15	electronics	electronic	NOUN
bracis-28430	194	16	and	and	CCONJ
bracis-28430	194	17	design	design	NOUN
bracis-28430	194	18	.	.	PUNCT
bracis-28430	195	1	pp	pp	ADV
bracis-28430	195	2	.	.	PUNCT
bracis-28430	196	1	189–194	189–194	NUM
bracis-28430	196	2	.	.	PUNCT
bracis-28430	196	3	islped	islpe	VERB
bracis-28430	196	4	2010	2010	NUM
bracis-28430	196	5	,	,	PUNCT
bracis-28430	196	6	association	association	NOUN
bracis-28430	196	7	for	for	ADP
bracis-28430	196	8	computing	compute	VERB
bracis-28430	196	9	machinery	machinery	NOUN
bracis-28430	196	10	,	,	PUNCT
bracis-28430	196	11	new	new	PROPN
bracis-28430	196	12	york	york	PROPN
bracis-28430	196	13	,	,	PUNCT
bracis-28430	196	14	ny	ny	PROPN
bracis-28430	196	15	,	,	PUNCT
bracis-28430	196	16	usa	usa	PROPN
bracis-28430	196	17	(	(	PUNCT
bracis-28430	196	18	2010	2010	NUM
bracis-28430	196	19	)	)	PUNCT
bracis-28430	196	20	.	.	PUNCT
bracis-28430	197	1	https://doi.org/10.1145/1840845.1840883	https://doi.org/10.1145/1840845.1840883	PROPN
bracis-28430	197	2	desrochers	desrocher	NOUN
bracis-28430	197	3	,	,	PUNCT
bracis-28430	197	4	s.	s.	PROPN
bracis-28430	197	5	,	,	PUNCT
bracis-28430	197	6	paradis	paradis	PROPN
bracis-28430	197	7	,	,	PUNCT
bracis-28430	197	8	c.	c.	PROPN
bracis-28430	197	9	,	,	PUNCT
bracis-28430	197	10	weaver	weaver	PROPN
bracis-28430	197	11	,	,	PUNCT
bracis-28430	197	12	v.m	v.m	PROPN
bracis-28430	197	13	.	.	PUNCT
bracis-28430	197	14	:	:	PUNCT
bracis-28430	198	1	a	a	DET
bracis-28430	198	2	validation	validation	NOUN
bracis-28430	198	3	of	of	ADP
bracis-28430	198	4	dram	dram	PROPN
bracis-28430	198	5	rapl	rapl	PROPN
bracis-28430	198	6	power	power	NOUN
bracis-28430	198	7	measurements	measurement	NOUN
bracis-28430	198	8	.	.	PUNCT
bracis-28430	199	1	in	in	ADP
bracis-28430	199	2	:	:	PUNCT
bracis-28430	199	3	proceedings	proceeding	NOUN
bracis-28430	199	4	of	of	ADP
bracis-28430	199	5	the	the	DET
bracis-28430	199	6	second	second	ADJ
bracis-28430	199	7	international	international	ADJ
bracis-28430	199	8	symposium	symposium	NOUN
bracis-28430	199	9	on	on	ADP
bracis-28430	199	10	memory	memory	NOUN
bracis-28430	199	11	systems	system	NOUN
bracis-28430	199	12	,	,	PUNCT
bracis-28430	199	13	pp	pp	ADV
bracis-28430	199	14	.	.	PUNCT
bracis-28430	200	1	455–470	455–470	NUM
bracis-28430	200	2	.	.	PUNCT
bracis-28430	201	1	memsys	memsys	PROPN
bracis-28430	201	2	2016	2016	NUM
bracis-28430	201	3	,	,	PUNCT
bracis-28430	201	4	association	association	NOUN
bracis-28430	201	5	for	for	ADP
bracis-28430	201	6	computing	compute	VERB
bracis-28430	201	7	machinery	machinery	NOUN
bracis-28430	201	8	,	,	PUNCT
bracis-28430	201	9	new	new	PROPN
bracis-28430	201	10	york	york	PROPN
bracis-28430	201	11	,	,	PUNCT
bracis-28430	201	12	ny	ny	PROPN
bracis-28430	201	13	,	,	PUNCT
bracis-28430	201	14	usa	usa	PROPN
bracis-28430	201	15	(	(	PUNCT
bracis-28430	201	16	2016	2016	NUM
bracis-28430	201	17	)	)	PUNCT
bracis-28430	201	18	.	.	PUNCT
bracis-28430	202	1	https://doi.org/10.1145/2989081.2989088	https://doi.org/10.1145/2989081.2989088	PROPN
bracis-28430	202	2	domingos	domingos	PROPN
bracis-28430	202	3	,	,	PUNCT
bracis-28430	202	4	p.	p.	PROPN
bracis-28430	202	5	,	,	PUNCT
bracis-28430	202	6	hulten	hulten	VERB
bracis-28430	202	7	,	,	PUNCT
bracis-28430	202	8	g.	g.	NOUN
bracis-28430	202	9	:	:	PUNCT
bracis-28430	202	10	mining	mine	VERB
bracis-28430	202	11	high	high	ADJ
bracis-28430	202	12	-	-	PUNCT
bracis-28430	202	13	speed	speed	NOUN
bracis-28430	202	14	data	datum	NOUN
bracis-28430	202	15	streams	stream	NOUN
bracis-28430	202	16	.	.	PUNCT
bracis-28430	203	1	in	in	ADP
bracis-28430	203	2	:	:	PUNCT
bracis-28430	203	3	proceedings	proceeding	NOUN
bracis-28430	203	4	of	of	ADP
bracis-28430	203	5	the	the	DET
bracis-28430	203	6	sixth	sixth	ADJ
bracis-28430	203	7	acm	acm	NOUN
bracis-28430	203	8	sigkdd	sigkdd	NOUN
bracis-28430	203	9	international	international	ADJ
bracis-28430	203	10	conference	conference	NOUN
bracis-28430	203	11	on	on	ADP
bracis-28430	203	12	knowledge	knowledge	NOUN
bracis-28430	203	13	discovery	discovery	PROPN
bracis-28430	203	14	and	and	CCONJ
bracis-28430	203	15	data	datum	NOUN
bracis-28430	203	16	mining	mining	NOUN
bracis-28430	203	17	,	,	PUNCT
bracis-28430	203	18	pp	pp	ADJ
bracis-28430	203	19	.	.	PUNCT
bracis-28430	204	1	71–80	71–80	NUM
bracis-28430	204	2	.	.	PUNCT
bracis-28430	205	1	kdd	kdd	PROPN
bracis-28430	205	2	2000	2000	NUM
bracis-28430	205	3	,	,	PUNCT
bracis-28430	205	4	association	association	NOUN
bracis-28430	205	5	for	for	ADP
bracis-28430	205	6	computing	compute	VERB
bracis-28430	205	7	machinery	machinery	NOUN
bracis-28430	205	8	,	,	PUNCT
bracis-28430	205	9	new	new	PROPN
bracis-28430	205	10	york	york	PROPN
bracis-28430	205	11	,	,	PUNCT
bracis-28430	205	12	ny	ny	PROPN
bracis-28430	205	13	,	,	PUNCT
bracis-28430	205	14	usa	usa	PROPN
bracis-28430	205	15	(	(	PUNCT
bracis-28430	205	16	2000	2000	NUM
bracis-28430	205	17	)	)	PUNCT
bracis-28430	205	18	.	.	PUNCT
bracis-28430	206	1	https://doi.org/10.1145/347090.347107	https://doi.org/10.1145/347090.347107	ADJ
bracis-28430	206	2	gama	gama	NOUN
bracis-28430	206	3	,	,	PUNCT
bracis-28430	206	4	j.	j.	PROPN
bracis-28430	206	5	:	:	PUNCT
bracis-28430	206	6	knowledge	knowledge	NOUN
bracis-28430	206	7	discovery	discovery	PROPN
bracis-28430	206	8	from	from	ADP
bracis-28430	206	9	data	datum	NOUN
bracis-28430	206	10	streams	stream	NOUN
bracis-28430	206	11	.	.	PUNCT
bracis-28430	207	1	chapman	chapman	PROPN
bracis-28430	207	2	&	&	CCONJ
bracis-28430	207	3	hall	hall	PROPN
bracis-28430	207	4	/	/	SYM
bracis-28430	207	5	crc	crc	PROPN
bracis-28430	207	6	,	,	PUNCT
bracis-28430	207	7	1st	1st	ADJ
bracis-28430	207	8	edn	edn	NOUN
bracis-28430	207	9	.	.	PUNCT
bracis-28430	208	1	(	(	PUNCT
bracis-28430	208	2	2010	2010	NUM
bracis-28430	208	3	)	)	PUNCT
bracis-28430	208	4	google	google	PROPN
bracis-28430	208	5	scholar	scholar	NOUN
bracis-28430	208	6	  	  	SPACE
bracis-28430	208	7	gama	gama	NOUN
bracis-28430	208	8	,	,	PUNCT
bracis-28430	208	9	j.	j.	PROPN
bracis-28430	208	10	,	,	PUNCT
bracis-28430	208	11	sebastião	sebastião	PROPN
bracis-28430	208	12	,	,	PUNCT
bracis-28430	208	13	r.	r.	PROPN
bracis-28430	208	14	,	,	PUNCT
bracis-28430	208	15	rodrigues	rodrigues	PROPN
bracis-28430	208	16	,	,	PUNCT
bracis-28430	208	17	p.p	p.p	PROPN
bracis-28430	208	18	.	.	PUNCT
bracis-28430	208	19	:	:	PUNCT
bracis-28430	208	20	on	on	ADP
bracis-28430	208	21	evaluating	evaluate	VERB
bracis-28430	208	22	stream	stream	NOUN
bracis-28430	208	23	learning	learn	VERB
bracis-28430	208	24	algorithms	algorithm	NOUN
bracis-28430	208	25	.	.	PUNCT
bracis-28430	209	1	mach	mach	NOUN
bracis-28430	209	2	.	.	PUNCT
bracis-28430	210	1	learn	learn	VERB
bracis-28430	210	2	.	.	PUNCT
bracis-28430	211	1	90(3	90(3	NOUN
bracis-28430	211	2	)	)	PUNCT
bracis-28430	211	3	,	,	PUNCT
bracis-28430	211	4	317–346	317–346	NUM
bracis-28430	211	5	(	(	PUNCT
bracis-28430	211	6	2012	2012	NUM
bracis-28430	211	7	)	)	PUNCT
bracis-28430	211	8	.	.	PUNCT
bracis-28430	212	1	https://doi.org/10.1007/s10994-012-5320-9	https://doi.org/10.1007/s10994-012-5320-9	NUM
bracis-28430	212	2	article	article	NOUN
bracis-28430	212	3	  	  	SPACE
bracis-28430	212	4	mathscinet	mathscinet	NOUN
bracis-28430	212	5	  	  	SPACE
bracis-28430	212	6	math	math	NOUN
bracis-28430	212	7	  	  	SPACE
bracis-28430	212	8	google	google	PROPN
bracis-28430	212	9	scholar	scholar	NOUN
bracis-28430	212	10	  	  	SPACE
bracis-28430	212	11	gama	gama	NOUN
bracis-28430	212	12	,	,	PUNCT
bracis-28430	212	13	j.	j.	PROPN
bracis-28430	212	14	,	,	PUNCT
bracis-28430	212	15	zliobaite	zliobaite	PROPN
bracis-28430	212	16	,	,	PUNCT
bracis-28430	212	17	i.	i.	NOUN
bracis-28430	212	18	,	,	PUNCT
bracis-28430	212	19	bifet	bifet	PROPN
bracis-28430	212	20	,	,	PUNCT
bracis-28430	212	21	a.	a.	NOUN
bracis-28430	212	22	,	,	PUNCT
bracis-28430	212	23	pechenizkiy	pechenizkiy	NOUN
bracis-28430	212	24	,	,	PUNCT
bracis-28430	212	25	m.	m.	NOUN
bracis-28430	212	26	,	,	PUNCT
bracis-28430	212	27	bouchachia	bouchachia	NOUN
bracis-28430	212	28	,	,	PUNCT
bracis-28430	212	29	a.	a.	NOUN
bracis-28430	212	30	:	:	PUNCT
bracis-28430	212	31	a	a	DET
bracis-28430	212	32	survey	survey	NOUN
bracis-28430	212	33	on	on	ADP
bracis-28430	212	34	concept	concept	NOUN
bracis-28430	212	35	drift	drift	NOUN
bracis-28430	212	36	adaptation	adaptation	NOUN
bracis-28430	212	37	(	(	PUNCT
bracis-28430	212	38	2014	2014	NUM
bracis-28430	212	39	)	)	PUNCT
bracis-28430	212	40	.	.	PUNCT
bracis-28430	213	1	https://doi.org/10.1145/2523813	https://doi.org/10.1145/2523813	X
bracis-28430	213	2	garcía	garcía	ADJ
bracis-28430	213	3	-	-	PUNCT
bracis-28430	213	4	martín	martín	NOUN
bracis-28430	213	5	,	,	PUNCT
bracis-28430	213	6	e.	e.	PROPN
bracis-28430	213	7	,	,	PUNCT
bracis-28430	213	8	bifet	bifet	PROPN
bracis-28430	213	9	,	,	PUNCT
bracis-28430	213	10	a.	a.	NOUN
bracis-28430	213	11	,	,	PUNCT
bracis-28430	213	12	lavesson	lavesson	NOUN
bracis-28430	213	13	,	,	PUNCT
bracis-28430	213	14	n.	n.	NOUN
bracis-28430	213	15	:	:	PUNCT
bracis-28430	213	16	energy	energy	NOUN
bracis-28430	213	17	modeling	modeling	NOUN
bracis-28430	213	18	of	of	ADP
bracis-28430	213	19	hoeffding	hoeffde	VERB
bracis-28430	213	20	tree	tree	NOUN
bracis-28430	213	21	ensembles	ensemble	NOUN
bracis-28430	213	22	.	.	PUNCT
bracis-28430	214	1	intell	intell	PROPN
bracis-28430	214	2	.	.	PUNCT
bracis-28430	215	1	data	data	PROPN
bracis-28430	215	2	anal	anal	PROPN
bracis-28430	215	3	.	.	PUNCT
bracis-28430	216	1	25(1	25(1	X
bracis-28430	216	2	)	)	PUNCT
bracis-28430	216	3	,	,	PUNCT
bracis-28430	216	4	81–104	81–104	PROPN
bracis-28430	216	5	(	(	PUNCT
bracis-28430	216	6	2020	2020	NUM
bracis-28430	216	7	)	)	PUNCT
bracis-28430	216	8	google	google	NOUN
bracis-28430	216	9	scholar	scholar	NOUN
bracis-28430	216	10	  	  	SPACE
bracis-28430	216	11	garcía	garcía	ADJ
bracis-28430	216	12	-	-	PUNCT
bracis-28430	216	13	martín	martín	NOUN
bracis-28430	216	14	,	,	PUNCT
bracis-28430	216	15	e.	e.	PROPN
bracis-28430	216	16	,	,	PUNCT
bracis-28430	216	17	bifet	bifet	PROPN
bracis-28430	216	18	,	,	PUNCT
bracis-28430	216	19	a.	a.	NOUN
bracis-28430	216	20	,	,	PUNCT
bracis-28430	216	21	lavesson	lavesson	NOUN
bracis-28430	216	22	,	,	PUNCT
bracis-28430	216	23	n.	n.	NOUN
bracis-28430	216	24	:	:	PUNCT
bracis-28430	216	25	green	green	PROPN
bracis-28430	216	26	accelerated	accelerate	VERB
bracis-28430	216	27	hoeffding	hoeffding	NOUN
bracis-28430	216	28	tree	tree	NOUN
bracis-28430	216	29	(	(	PUNCT
bracis-28430	216	30	2020	2020	NUM
bracis-28430	216	31	)	)	PUNCT
bracis-28430	216	32	.	.	PUNCT
bracis-28430	217	1	http://urn.kb.se/resolve?urn=urn:nbn:se:bth-19152	http://urn.kb.se/resolve?urn=urn:nbn:se:bth-19152	PROPN
bracis-28430	217	2	garcia	garcia	PROPN
bracis-28430	217	3	-	-	PUNCT
bracis-28430	217	4	martin	martin	PROPN
bracis-28430	217	5	,	,	PUNCT
bracis-28430	217	6	e.	e.	PROPN
bracis-28430	217	7	,	,	PUNCT
bracis-28430	217	8	lavesson	lavesson	PROPN
bracis-28430	217	9	,	,	PUNCT
bracis-28430	217	10	n.	n.	NOUN
bracis-28430	217	11	,	,	PUNCT
bracis-28430	217	12	grahn	grahn	PROPN
bracis-28430	217	13	,	,	PUNCT
bracis-28430	217	14	h.	h.	NOUN
bracis-28430	217	15	:	:	PUNCT
bracis-28430	217	16	energy	energy	NOUN
bracis-28430	217	17	efficiency	efficiency	NOUN
bracis-28430	217	18	analysis	analysis	NOUN
bracis-28430	217	19	of	of	ADP
bracis-28430	217	20	the	the	DET
bracis-28430	217	21	very	very	ADV
bracis-28430	217	22	fast	fast	ADJ
bracis-28430	217	23	decision	decision	NOUN
bracis-28430	217	24	tree	tree	NOUN
bracis-28430	217	25	algorithm	algorithm	NOUN
bracis-28430	217	26	.	.	PUNCT
bracis-28430	218	1	in	in	ADP
bracis-28430	218	2	:	:	PUNCT
bracis-28430	218	3	trends	trend	NOUN
bracis-28430	218	4	in	in	ADP
bracis-28430	218	5	social	social	ADJ
bracis-28430	218	6	network	network	NOUN
bracis-28430	218	7	analysis	analysis	NOUN
bracis-28430	218	8	:	:	PUNCT
bracis-28430	218	9	information	information	NOUN
bracis-28430	218	10	propagation	propagation	NOUN
bracis-28430	218	11	,	,	PUNCT
bracis-28430	218	12	user	user	NOUN
bracis-28430	218	13	behavior	behavior	NOUN
bracis-28430	218	14	modeling	modeling	NOUN
bracis-28430	218	15	,	,	PUNCT
bracis-28430	218	16	forecasting	forecasting	NOUN
bracis-28430	218	17	,	,	PUNCT
bracis-28430	218	18	and	and	CCONJ
bracis-28430	218	19	vulnerability	vulnerability	NOUN
bracis-28430	218	20	assessment	assessment	NOUN
bracis-28430	218	21	,	,	PUNCT
bracis-28430	218	22	pp	pp	ADJ
bracis-28430	218	23	.	.	PUNCT
bracis-28430	219	1	229–252	229–252	NUM
bracis-28430	219	2	(	(	PUNCT
bracis-28430	219	3	2017	2017	NUM
bracis-28430	219	4	)	)	PUNCT
bracis-28430	219	5	google	google	PROPN
bracis-28430	219	6	scholar	scholar	NOUN
bracis-28430	219	7	  	  	SPACE
bracis-28430	219	8	garcia	garcia	PROPN
bracis-28430	219	9	-	-	PUNCT
bracis-28430	219	10	martin	martin	PROPN
bracis-28430	219	11	,	,	PUNCT
bracis-28430	219	12	e.	e.	PROPN
bracis-28430	219	13	,	,	PUNCT
bracis-28430	219	14	lavesson	lavesson	PROPN
bracis-28430	219	15	,	,	PUNCT
bracis-28430	219	16	n.	n.	NOUN
bracis-28430	219	17	,	,	PUNCT
bracis-28430	219	18	grahn	grahn	PROPN
bracis-28430	219	19	,	,	PUNCT
bracis-28430	219	20	h.	h.	NOUN
bracis-28430	219	21	:	:	PUNCT
bracis-28430	219	22	identification	identification	NOUN
bracis-28430	219	23	of	of	ADP
bracis-28430	219	24	energy	energy	NOUN
bracis-28430	219	25	hotspots	hotspot	NOUN
bracis-28430	219	26	:	:	PUNCT
bracis-28430	219	27	a	a	DET
bracis-28430	219	28	case	case	NOUN
bracis-28430	219	29	study	study	NOUN
bracis-28430	219	30	of	of	ADP
bracis-28430	219	31	the	the	DET
bracis-28430	219	32	very	very	ADV
bracis-28430	219	33	fast	fast	ADJ
bracis-28430	219	34	decision	decision	NOUN
bracis-28430	219	35	tree	tree	NOUN
bracis-28430	219	36	.	.	PUNCT
bracis-28430	220	1	in	in	ADP
bracis-28430	220	2	:	:	PUNCT
bracis-28430	220	3	au	au	ADJ
bracis-28430	220	4	,	,	PUNCT
bracis-28430	220	5	m.h.a	m.h.a	NOUN
bracis-28430	220	6	.	.	PROPN
bracis-28430	220	7	,	,	PUNCT
bracis-28430	220	8	castiglione	castiglione	NOUN
bracis-28430	220	9	,	,	PUNCT
bracis-28430	220	10	a.	a.	NOUN
bracis-28430	220	11	,	,	PUNCT
bracis-28430	220	12	choo	choo	PROPN
bracis-28430	220	13	,	,	PUNCT
bracis-28430	220	14	k.-k.r	k.-k.r	PROPN
bracis-28430	220	15	.	.	PROPN
bracis-28430	220	16	,	,	PUNCT
bracis-28430	220	17	palmieri	palmieri	PROPN
bracis-28430	220	18	,	,	PUNCT
bracis-28430	220	19	f.	f.	PROPN
bracis-28430	220	20	,	,	PUNCT
bracis-28430	220	21	li	li	PROPN
bracis-28430	220	22	,	,	PUNCT
bracis-28430	220	23	k.-c	k.-c	NOUN
bracis-28430	220	24	.	.	PUNCT
bracis-28430	221	1	(	(	PUNCT
bracis-28430	221	2	eds	ed	NOUN
bracis-28430	221	3	.	.	PUNCT
bracis-28430	221	4	)	)	PUNCT
bracis-28430	222	1	gpc	gpc	PROPN
bracis-28430	222	2	2017	2017	NUM
bracis-28430	222	3	.	.	PUNCT
bracis-28430	223	1	lncs	lncs	PROPN
bracis-28430	223	2	,	,	PUNCT
bracis-28430	223	3	vol	vol	NOUN
bracis-28430	223	4	.	.	PROPN
bracis-28430	223	5	10232	10232	NUM
bracis-28430	223	6	,	,	PUNCT
bracis-28430	223	7	pp	pp	ADJ
bracis-28430	223	8	.	.	PUNCT
bracis-28430	224	1	267–281	267–281	NUM
bracis-28430	224	2	.	.	X
bracis-28430	224	3	springer	springer	NOUN
bracis-28430	224	4	,	,	PUNCT
bracis-28430	224	5	cham	cham	PROPN
bracis-28430	224	6	(	(	PUNCT
bracis-28430	224	7	2017	2017	NUM
bracis-28430	224	8	)	)	PUNCT
bracis-28430	224	9	.	.	PUNCT
bracis-28430	225	1	https://doi.org/10.1007/978-3-319-57186-7_21	https://doi.org/10.1007/978-3-319-57186-7_21	PROPN
bracis-28430	225	2	chapter	chapter	NOUN
bracis-28430	225	3	  	  	SPACE
bracis-28430	225	4	google	google	PROPN
bracis-28430	225	5	scholar	scholar	NOUN
bracis-28430	225	6	  	  	SPACE
bracis-28430	225	7	garcía	garcía	ADJ
bracis-28430	225	8	-	-	PUNCT
bracis-28430	225	9	martín	martín	NOUN
bracis-28430	225	10	,	,	PUNCT
bracis-28430	225	11	e.	e.	PROPN
bracis-28430	225	12	,	,	PUNCT
bracis-28430	225	13	lavesson	lavesson	PROPN
bracis-28430	225	14	,	,	PUNCT
bracis-28430	225	15	n.	n.	NOUN
bracis-28430	225	16	,	,	PUNCT
bracis-28430	225	17	grahn	grahn	PROPN
bracis-28430	225	18	,	,	PUNCT
bracis-28430	225	19	h.	h.	PROPN
bracis-28430	225	20	,	,	PUNCT
bracis-28430	225	21	casalicchio	casalicchio	PROPN
bracis-28430	225	22	,	,	PUNCT
bracis-28430	225	23	e.	e.	PROPN
bracis-28430	225	24	,	,	PUNCT
bracis-28430	225	25	boeva	boeva	PROPN
bracis-28430	225	26	,	,	PUNCT
bracis-28430	225	27	v.	v.	ADP
bracis-28430	225	28	:	:	PUNCT
bracis-28430	225	29	how	how	SCONJ
bracis-28430	225	30	to	to	PART
bracis-28430	225	31	measure	measure	VERB
bracis-28430	225	32	energy	energy	NOUN
bracis-28430	225	33	consumption	consumption	NOUN
bracis-28430	225	34	in	in	ADP
bracis-28430	225	35	machine	machine	NOUN
bracis-28430	225	36	learning	learning	NOUN
bracis-28430	225	37	algorithms	algorithm	NOUN
bracis-28430	225	38	.	.	PUNCT
bracis-28430	226	1	in	in	ADP
bracis-28430	226	2	:	:	PUNCT
bracis-28430	226	3	alzate	alzate	VERB
bracis-28430	226	4	,	,	PUNCT
bracis-28430	226	5	c.	c.	PROPN
bracis-28430	226	6	,	,	PUNCT
bracis-28430	226	7	et	et	PROPN
bracis-28430	226	8	al	al	PROPN
bracis-28430	226	9	.	.	PUNCT
bracis-28430	226	10	(	(	PUNCT
bracis-28430	226	11	eds	ed	NOUN
bracis-28430	226	12	.	.	PUNCT
bracis-28430	226	13	)	)	PUNCT
bracis-28430	227	1	ecml	ecml	PROPN
bracis-28430	227	2	pkdd	pkdd	NOUN
bracis-28430	227	3	2018	2018	NUM
bracis-28430	227	4	.	.	PUNCT
bracis-28430	228	1	lncs	lncs	PROPN
bracis-28430	228	2	(	(	PUNCT
bracis-28430	228	3	lnai	lnai	ADJ
bracis-28430	228	4	)	)	PUNCT
bracis-28430	228	5	,	,	PUNCT
bracis-28430	228	6	vol	vol	NOUN
bracis-28430	228	7	.	.	PROPN
bracis-28430	228	8	11329	11329	NUM
bracis-28430	228	9	,	,	PUNCT
bracis-28430	228	10	pp	pp	ADP
bracis-28430	228	11	.	.	PUNCT
bracis-28430	229	1	243–255	243–255	NUM
bracis-28430	229	2	.	.	PUNCT
bracis-28430	229	3	springer	springer	NOUN
bracis-28430	229	4	,	,	PUNCT
bracis-28430	229	5	cham	cham	PROPN
bracis-28430	229	6	(	(	PUNCT
bracis-28430	229	7	2019	2019	NUM
bracis-28430	229	8	)	)	PUNCT
bracis-28430	229	9	.	.	PUNCT
bracis-28430	230	1	https://doi.org/10.1007/978-3-030-13453-2_20	https://doi.org/10.1007/978-3-030-13453-2_20	NOUN
bracis-28430	230	2	chapter	chapter	NOUN
bracis-28430	230	3	  	  	SPACE
bracis-28430	230	4	google	google	PROPN
bracis-28430	230	5	scholar	scholar	NOUN
bracis-28430	230	6	  	  	SPACE
bracis-28430	230	7	garcía	garcía	ADJ
bracis-28430	230	8	-	-	PUNCT
bracis-28430	230	9	martín	martín	NOUN
bracis-28430	230	10	,	,	PUNCT
bracis-28430	230	11	e.	e.	PROPN
bracis-28430	230	12	,	,	PUNCT
bracis-28430	230	13	rodrigues	rodrigues	PROPN
bracis-28430	230	14	,	,	PUNCT
bracis-28430	230	15	c.f	c.f	PROPN
bracis-28430	230	16	.	.	PROPN
bracis-28430	230	17	,	,	PUNCT
bracis-28430	230	18	riley	riley	PROPN
bracis-28430	230	19	,	,	PUNCT
bracis-28430	230	20	g.	g.	PROPN
bracis-28430	230	21	,	,	PUNCT
bracis-28430	230	22	grahn	grahn	PROPN
bracis-28430	230	23	,	,	PUNCT
bracis-28430	230	24	h.	h.	NOUN
bracis-28430	230	25	:	:	PUNCT
bracis-28430	230	26	estimation	estimation	NOUN
bracis-28430	230	27	of	of	ADP
bracis-28430	230	28	energy	energy	NOUN
bracis-28430	230	29	consumption	consumption	NOUN
bracis-28430	230	30	in	in	ADP
bracis-28430	230	31	machine	machine	NOUN
bracis-28430	230	32	learning	learning	NOUN
bracis-28430	230	33	.	.	PUNCT
bracis-28430	231	1	j.	j.	PROPN
bracis-28430	231	2	parallel	parallel	PROPN
bracis-28430	231	3	distrib	distrib	PROPN
bracis-28430	231	4	.	.	PUNCT
bracis-28430	232	1	comput	comput	NOUN
bracis-28430	232	2	.	.	PUNCT
bracis-28430	233	1	134	134	NUM
bracis-28430	233	2	,	,	PUNCT
bracis-28430	233	3	75–88	75–88	NUM
bracis-28430	233	4	(	(	PUNCT
bracis-28430	233	5	2019	2019	NUM
bracis-28430	233	6	)	)	PUNCT
bracis-28430	233	7	.	.	PUNCT
bracis-28430	234	1	https://doi.org/10.1016/j.jpdc.2019.07.007	https://doi.org/10.1016/j.jpdc.2019.07.007	NOUN
bracis-28430	234	2	article	article	NOUN
bracis-28430	234	3	  	  	SPACE
bracis-28430	234	4	google	google	PROPN
bracis-28430	234	5	scholar	scholar	NOUN
bracis-28430	234	6	  	  	SPACE
bracis-28430	234	7	gomes	gome	NOUN
bracis-28430	234	8	,	,	PUNCT
bracis-28430	234	9	h.m	h.m	PROPN
bracis-28430	234	10	.	.	PROPN
bracis-28430	234	11	,	,	PUNCT
bracis-28430	234	12	et	et	PROPN
bracis-28430	234	13	al	al	PROPN
bracis-28430	234	14	.	.	PUNCT
bracis-28430	234	15	:	:	PUNCT
bracis-28430	235	1	adaptive	adaptive	ADJ
bracis-28430	235	2	random	random	ADJ
bracis-28430	235	3	forests	forest	NOUN
bracis-28430	235	4	for	for	ADP
bracis-28430	235	5	evolving	evolve	VERB
bracis-28430	235	6	data	datum	NOUN
bracis-28430	235	7	stream	stream	NOUN
bracis-28430	235	8	classification	classification	NOUN
bracis-28430	235	9	.	.	PUNCT
bracis-28430	236	1	mach	mach	NOUN
bracis-28430	236	2	.	.	PUNCT
bracis-28430	237	1	learn	learn	VERB
bracis-28430	237	2	.	.	PUNCT
bracis-28430	238	1	106(9	106(9	NUM
bracis-28430	238	2	)	)	PUNCT
bracis-28430	238	3	,	,	PUNCT
bracis-28430	238	4	1469–1495	1469–1495	NUM
bracis-28430	238	5	(	(	PUNCT
bracis-28430	238	6	2017	2017	NUM
bracis-28430	238	7	)	)	PUNCT
bracis-28430	238	8	.	.	PUNCT
bracis-28430	239	1	https://doi.org/10.1007/s10994-017-5642-8	https://doi.org/10.1007/s10994-017-5642-8	PROPN
bracis-28430	239	2	,	,	PUNCT
bracis-28430	239	3	https://doi.org/10.1007/s10994-017-5642-8	https://doi.org/10.1007/s10994-017-5642-8	PROPN
bracis-28430	239	4	gunasekara	gunasekara	NOUN
bracis-28430	239	5	,	,	PUNCT
bracis-28430	239	6	n.	n.	NOUN
bracis-28430	239	7	,	,	PUNCT
bracis-28430	239	8	gomes	gomes	PROPN
bracis-28430	239	9	,	,	PUNCT
bracis-28430	239	10	h.m	h.m	PROPN
bracis-28430	239	11	.	.	PROPN
bracis-28430	239	12	,	,	PUNCT
bracis-28430	239	13	pfahringer	pfahringer	NOUN
bracis-28430	239	14	,	,	PUNCT
bracis-28430	239	15	b.	b.	PROPN
bracis-28430	239	16	,	,	PUNCT
bracis-28430	239	17	bifet	bifet	PROPN
bracis-28430	239	18	,	,	PUNCT
bracis-28430	239	19	a.	a.	NOUN
bracis-28430	239	20	:	:	PUNCT
bracis-28430	239	21	online	online	ADJ
bracis-28430	239	22	hyperparameter	hyperparameter	NOUN
bracis-28430	239	23	optimization	optimization	NOUN
bracis-28430	239	24	for	for	ADP
bracis-28430	239	25	streaming	stream	VERB
bracis-28430	239	26	neural	neural	ADJ
bracis-28430	239	27	networks	network	NOUN
bracis-28430	239	28	.	.	PUNCT
bracis-28430	240	1	in	in	ADP
bracis-28430	240	2	:	:	PUNCT
bracis-28430	240	3	2022	2022	NUM
bracis-28430	240	4	international	international	ADJ
bracis-28430	240	5	joint	joint	ADJ
bracis-28430	240	6	conference	conference	NOUN
bracis-28430	240	7	on	on	ADP
bracis-28430	240	8	neural	neural	ADJ
bracis-28430	240	9	networks	network	NOUN
bracis-28430	240	10	(	(	PUNCT
bracis-28430	240	11	ijcnn	ijcnn	PROPN
bracis-28430	240	12	)	)	PUNCT
bracis-28430	240	13	,	,	PUNCT
bracis-28430	240	14	pp	pp	ADP
bracis-28430	240	15	.	.	PUNCT
bracis-28430	241	1	1–9	1–9	NOUN
bracis-28430	241	2	.	.	NOUN
bracis-28430	241	3	ieee	ieee	PROPN
bracis-28430	241	4	(	(	PUNCT
bracis-28430	241	5	2022	2022	NUM
bracis-28430	241	6	)	)	PUNCT
bracis-28430	241	7	google	google	NOUN
bracis-28430	241	8	scholar	scholar	NOUN
bracis-28430	241	9	  	  	SPACE
bracis-28430	241	10	hähnel	hähnel	NOUN
bracis-28430	241	11	,	,	PUNCT
bracis-28430	241	12	m.	m.	NOUN
bracis-28430	241	13	,	,	PUNCT
bracis-28430	241	14	döbel	döbel	NOUN
bracis-28430	241	15	,	,	PUNCT
bracis-28430	241	16	b.	b.	PROPN
bracis-28430	241	17	,	,	PUNCT
bracis-28430	241	18	völp	völp	NOUN
bracis-28430	241	19	,	,	PUNCT
bracis-28430	241	20	m.	m.	NOUN
bracis-28430	241	21	,	,	PUNCT
bracis-28430	241	22	härtig	härtig	PROPN
bracis-28430	241	23	,	,	PUNCT
bracis-28430	241	24	h.	h.	PROPN
bracis-28430	241	25	:	:	PUNCT
bracis-28430	241	26	measuring	measure	VERB
bracis-28430	241	27	energy	energy	NOUN
bracis-28430	241	28	consumption	consumption	NOUN
bracis-28430	241	29	for	for	ADP
bracis-28430	241	30	short	short	ADJ
bracis-28430	241	31	code	code	NOUN
bracis-28430	241	32	paths	path	NOUN
bracis-28430	241	33	using	use	VERB
bracis-28430	241	34	rapl	rapl	NOUN
bracis-28430	241	35	.	.	PUNCT
bracis-28430	242	1	acm	acm	PROPN
bracis-28430	242	2	sigmetrics	sigmetric	NOUN
bracis-28430	242	3	perform	perform	VERB
bracis-28430	242	4	.	.	PUNCT
bracis-28430	243	1	eval	eval	PROPN
bracis-28430	243	2	.	.	PUNCT
bracis-28430	244	1	rev	rev	PROPN
bracis-28430	244	2	.	.	PROPN
bracis-28430	244	3	40(3	40(3	NOUN
bracis-28430	244	4	)	)	PUNCT
bracis-28430	244	5	,	,	PUNCT
bracis-28430	244	6	13–17	13–17	NUM
bracis-28430	244	7	(	(	PUNCT
bracis-28430	244	8	2012	2012	NUM
bracis-28430	244	9	)	)	PUNCT
bracis-28430	244	10	article	article	NOUN
bracis-28430	244	11	  	  	SPACE
bracis-28430	244	12	google	google	PROPN
bracis-28430	244	13	scholar	scholar	NOUN
bracis-28430	244	14	  	  	SPACE
bracis-28430	244	15	hoeffding	hoeffding	NOUN
bracis-28430	244	16	,	,	PUNCT
bracis-28430	244	17	w.	w.	NOUN
bracis-28430	244	18	:	:	PUNCT
bracis-28430	244	19	probability	probability	NOUN
bracis-28430	244	20	inequalities	inequality	NOUN
bracis-28430	244	21	for	for	ADP
bracis-28430	244	22	sums	sum	NOUN
bracis-28430	244	23	of	of	ADP
bracis-28430	244	24	bounded	bounded	ADJ
bracis-28430	244	25	random	random	ADJ
bracis-28430	244	26	variables	variable	NOUN
bracis-28430	244	27	.	.	PUNCT
bracis-28430	245	1	in	in	ADP
bracis-28430	245	2	:	:	PUNCT
bracis-28430	245	3	fisher	fisher	PROPN
bracis-28430	245	4	,	,	PUNCT
bracis-28430	245	5	n.i	n.i	PROPN
bracis-28430	245	6	.	.	PROPN
bracis-28430	245	7	,	,	PUNCT
bracis-28430	245	8	sen	sen	PROPN
bracis-28430	245	9	,	,	PUNCT
bracis-28430	245	10	p.k	p.k	PROPN
bracis-28430	245	11	.	.	PROPN
bracis-28430	245	12	(	(	PUNCT
bracis-28430	245	13	eds	ed	NOUN
bracis-28430	245	14	.	.	PUNCT
bracis-28430	245	15	)	)	PUNCT
bracis-28430	246	1	the	the	DET
bracis-28430	246	2	collected	collect	VERB
bracis-28430	246	3	works	work	NOUN
bracis-28430	246	4	of	of	ADP
bracis-28430	246	5	wassily	wassily	PROPN
bracis-28430	246	6	hoeffding	hoeffding	NOUN
bracis-28430	246	7	.	.	PUNCT
bracis-28430	247	1	springer	springer	NOUN
bracis-28430	247	2	series	series	PROPN
bracis-28430	247	3	in	in	ADP
bracis-28430	247	4	statistics	statistic	NOUN
bracis-28430	247	5	.	.	PUNCT
bracis-28430	248	1	springer	springer	NOUN
bracis-28430	248	2	,	,	PUNCT
bracis-28430	248	3	new	new	PROPN
bracis-28430	248	4	york	york	PROPN
bracis-28430	248	5	,	,	PUNCT
bracis-28430	248	6	ny	ny	PROPN
bracis-28430	248	7	(	(	PUNCT
bracis-28430	248	8	1994	1994	NUM
bracis-28430	248	9	)	)	PUNCT
bracis-28430	248	10	.	.	PUNCT
bracis-28430	249	1	https://doi.org/10.1007/978-1-4612-0865-5_26	https://doi.org/10.1007/978-1-4612-0865-5_26	PROPN
bracis-28430	249	2	king	king	PROPN
bracis-28430	249	3	,	,	PUNCT
bracis-28430	249	4	c.i	c.i	PROPN
bracis-28430	249	5	.	.	PROPN
bracis-28430	249	6	:	:	PUNCT
bracis-28430	250	1	stress	stress	PROPN
bracis-28430	250	2	-	-	PUNCT
bracis-28430	250	3	ng	ng	PROPN
bracis-28430	250	4	.	.	PROPN
bracis-28430	251	1	http://kernel.ubuntu.com/git/cking/stressng.git/.	http://kernel.ubuntu.com/git/cking/stressng.git/.	PROPN
bracis-28430	251	2	visited	visit	VERB
bracis-28430	251	3	on	on	ADP
bracis-28430	251	4	28/03/2018	28/03/2018	NUM
bracis-28430	251	5	)	)	PUNCT
bracis-28430	251	6	,	,	PUNCT
bracis-28430	251	7	p.	p.	NOUN
bracis-28430	251	8	39	39	NUM
bracis-28430	251	9	(	(	PUNCT
bracis-28430	251	10	2017	2017	NUM
bracis-28430	251	11	)	)	PUNCT
bracis-28430	251	12	klawonn	klawonn	PROPN
bracis-28430	251	13	,	,	PUNCT
bracis-28430	251	14	f.	f.	PROPN
bracis-28430	251	15	,	,	PUNCT
bracis-28430	251	16	angelov	angelov	NOUN
bracis-28430	251	17	,	,	PUNCT
bracis-28430	251	18	p.	p.	NOUN
bracis-28430	251	19	:	:	PUNCT
bracis-28430	251	20	evolving	evolve	VERB
bracis-28430	251	21	extended	extend	VERB
bracis-28430	251	22	naive	naive	ADJ
bracis-28430	251	23	bayes	bayes	NOUN
bracis-28430	251	24	classifiers	classifier	NOUN
bracis-28430	251	25	.	.	PUNCT
bracis-28430	252	1	in	in	ADP
bracis-28430	252	2	:	:	PUNCT
bracis-28430	252	3	sixth	sixth	ADJ
bracis-28430	252	4	ieee	ieee	NOUN
bracis-28430	252	5	international	international	ADJ
bracis-28430	252	6	conference	conference	NOUN
bracis-28430	252	7	on	on	ADP
bracis-28430	252	8	data	datum	NOUN
bracis-28430	252	9	mining	mining	NOUN
bracis-28430	252	10	-	-	PUNCT
bracis-28430	252	11	workshops	workshop	NOUN
bracis-28430	252	12	(	(	PUNCT
bracis-28430	252	13	icdmw	icdmw	NOUN
bracis-28430	252	14	2006	2006	NUM
bracis-28430	252	15	)	)	PUNCT
bracis-28430	252	16	,	,	PUNCT
bracis-28430	252	17	pp	pp	ADP
bracis-28430	252	18	.	.	PUNCT
bracis-28430	253	1	643–647	643–647	X
bracis-28430	253	2	.	.	PUNCT
bracis-28430	254	1	ieee	ieee	NOUN
bracis-28430	254	2	(	(	PUNCT
bracis-28430	254	3	2006	2006	NUM
bracis-28430	254	4	)	)	PUNCT
bracis-28430	254	5	google	google	PROPN
bracis-28430	254	6	scholar	scholar	NOUN
bracis-28430	254	7	  	  	SPACE
bracis-28430	254	8	montiel	montiel	PROPN
bracis-28430	254	9	,	,	PUNCT
bracis-28430	254	10	j.	j.	PROPN
bracis-28430	254	11	:	:	PUNCT
bracis-28430	254	12	river	river	NOUN
bracis-28430	254	13	:	:	PUNCT
bracis-28430	254	14	machine	machine	NOUN
bracis-28430	254	15	learning	learn	VERB
bracis-28430	254	16	for	for	ADP
bracis-28430	254	17	streaming	streaming	NOUN
bracis-28430	254	18	data	datum	NOUN
bracis-28430	254	19	in	in	ADP
bracis-28430	254	20	python	python	PROPN
bracis-28430	254	21	.	.	PUNCT
bracis-28430	255	1	j.	j.	PROPN
bracis-28430	255	2	mach	mach	PROPN
bracis-28430	255	3	.	.	PUNCT
bracis-28430	256	1	learn	learn	VERB
bracis-28430	256	2	.	.	PUNCT
bracis-28430	257	1	res	re	NOUN
bracis-28430	257	2	.	.	PUNCT
bracis-28430	258	1	22(1	22(1	NUM
bracis-28430	258	2	)	)	PUNCT
bracis-28430	258	3	,	,	PUNCT
bracis-28430	258	4	4945–4952	4945–4952	NOUN
bracis-28430	258	5	(	(	PUNCT
bracis-28430	258	6	2021	2021	NUM
bracis-28430	258	7	)	)	PUNCT
bracis-28430	258	8	google	google	NOUN
bracis-28430	258	9	scholar	scholar	NOUN
bracis-28430	258	10	  	  	SPACE
bracis-28430	258	11	noureddine	noureddine	NOUN
bracis-28430	258	12	,	,	PUNCT
bracis-28430	258	13	a.	a.	NOUN
bracis-28430	258	14	:	:	PUNCT
bracis-28430	258	15	powerjoular	powerjoular	ADJ
bracis-28430	258	16	and	and	CCONJ
bracis-28430	258	17	joularjx	joularjx	PROPN
bracis-28430	258	18	:	:	PUNCT
bracis-28430	258	19	multi	multi	ADJ
bracis-28430	258	20	-	-	ADJ
bracis-28430	258	21	platform	platform	ADJ
bracis-28430	258	22	software	software	NOUN
bracis-28430	258	23	power	power	NOUN
bracis-28430	258	24	monitoring	monitoring	NOUN
bracis-28430	258	25	tools	tool	NOUN
bracis-28430	258	26	.	.	PUNCT
bracis-28430	259	1	in	in	ADP
bracis-28430	259	2	:	:	PUNCT
bracis-28430	259	3	2022	2022	NUM
bracis-28430	259	4	18th	18th	ADJ
bracis-28430	259	5	international	international	ADJ
bracis-28430	259	6	conference	conference	NOUN
bracis-28430	259	7	on	on	ADP
bracis-28430	259	8	intelligent	intelligent	ADJ
bracis-28430	259	9	environments	environment	NOUN
bracis-28430	259	10	(	(	PUNCT
bracis-28430	259	11	ie	ie	X
bracis-28430	259	12	)	)	PUNCT
bracis-28430	259	13	,	,	PUNCT
bracis-28430	259	14	pp	pp	PROPN
bracis-28430	259	15	.	.	PUNCT
bracis-28430	260	1	1–4	1–4	PROPN
bracis-28430	260	2	.	.	PUNCT
bracis-28430	260	3	ieee	ieee	PROPN
bracis-28430	260	4	(	(	PUNCT
bracis-28430	260	5	2022	2022	NUM
bracis-28430	260	6	)	)	PUNCT
bracis-28430	260	7	google	google	PROPN
bracis-28430	260	8	scholar	scholar	NOUN
bracis-28430	260	9	  	  	SPACE
bracis-28430	260	10	phung	phung	PROPN
bracis-28430	260	11	,	,	PUNCT
bracis-28430	260	12	j.	j.	PROPN
bracis-28430	260	13	,	,	PUNCT
bracis-28430	260	14	lee	lee	PROPN
bracis-28430	260	15	,	,	PUNCT
bracis-28430	260	16	y.c	y.c	PROPN
bracis-28430	260	17	.	.	PROPN
bracis-28430	260	18	,	,	PUNCT
bracis-28430	260	19	zomaya	zomaya	PROPN
bracis-28430	260	20	,	,	PUNCT
bracis-28430	260	21	a.y	a.y	PROPN
bracis-28430	260	22	.	.	PUNCT
bracis-28430	260	23	:	:	PUNCT
bracis-28430	260	24	modeling	model	VERB
bracis-28430	260	25	system	system	NOUN
bracis-28430	260	26	-	-	PUNCT
bracis-28430	260	27	level	level	NOUN
bracis-28430	260	28	power	power	NOUN
bracis-28430	260	29	consumption	consumption	NOUN
bracis-28430	260	30	profiles	profile	NOUN
bracis-28430	260	31	using	use	VERB
bracis-28430	260	32	rapl	rapl	NOUN
bracis-28430	260	33	.	.	PUNCT
bracis-28430	261	1	in	in	ADP
bracis-28430	261	2	:	:	PUNCT
bracis-28430	261	3	nca	nca	PROPN
bracis-28430	261	4	2018–2018	2018–2018	NUM
bracis-28430	261	5	ieee	ieee	VERB
bracis-28430	261	6	17th	17th	ADJ
bracis-28430	261	7	international	international	ADJ
bracis-28430	261	8	symposium	symposium	NOUN
bracis-28430	261	9	on	on	ADP
bracis-28430	261	10	network	network	NOUN
bracis-28430	261	11	computing	computing	NOUN
bracis-28430	261	12	and	and	CCONJ
bracis-28430	261	13	applications	application	NOUN
bracis-28430	261	14	.	.	PUNCT
bracis-28430	262	1	institute	institute	PROPN
bracis-28430	262	2	of	of	ADP
bracis-28430	262	3	electrical	electrical	ADJ
bracis-28430	262	4	and	and	CCONJ
bracis-28430	262	5	electronics	electronics	PROPN
bracis-28430	262	6	engineers	engineers	PROPN
bracis-28430	262	7	inc	inc	PROPN
bracis-28430	262	8	.	.	PROPN
bracis-28430	262	9	(	(	PUNCT
bracis-28430	262	10	2018	2018	NUM
bracis-28430	262	11	)	)	PUNCT
bracis-28430	262	12	.	.	PUNCT
bracis-28430	263	1	https://doi.org/10.1109/nca.2018.8548281	https://doi.org/10.1109/nca.2018.8548281	PROPN
bracis-28430	263	2	shao	shao	PROPN
bracis-28430	263	3	,	,	PUNCT
bracis-28430	263	4	y.s	y.s	PROPN
bracis-28430	263	5	.	.	PROPN
bracis-28430	263	6	,	,	PUNCT
bracis-28430	263	7	brooks	brooks	PROPN
bracis-28430	263	8	,	,	PUNCT
bracis-28430	263	9	d.	d.	PROPN
bracis-28430	263	10	:	:	PUNCT
bracis-28430	263	11	energy	energy	NOUN
bracis-28430	263	12	characterization	characterization	NOUN
bracis-28430	263	13	and	and	CCONJ
bracis-28430	263	14	instruction	instruction	NOUN
bracis-28430	263	15	-	-	PUNCT
bracis-28430	263	16	level	level	NOUN
bracis-28430	263	17	energy	energy	NOUN
bracis-28430	263	18	model	model	NOUN
bracis-28430	263	19	of	of	ADP
bracis-28430	263	20	intel	intel	PROPN
bracis-28430	263	21	’s	’s	PART
bracis-28430	263	22	xeon	xeon	PROPN
bracis-28430	263	23	phi	phi	NOUN
bracis-28430	263	24	processor	processor	NOUN
bracis-28430	263	25	.	.	PUNCT
bracis-28430	264	1	in	in	ADP
bracis-28430	264	2	:	:	PUNCT
bracis-28430	264	3	international	international	ADJ
bracis-28430	264	4	symposium	symposium	NOUN
bracis-28430	264	5	on	on	ADP
bracis-28430	264	6	low	low	ADJ
bracis-28430	264	7	power	power	NOUN
bracis-28430	264	8	electronics	electronic	NOUN
bracis-28430	264	9	and	and	CCONJ
bracis-28430	264	10	design	design	NOUN
bracis-28430	264	11	(	(	PUNCT
bracis-28430	264	12	islped	islpe	VERB
bracis-28430	264	13	)	)	PUNCT
bracis-28430	264	14	,	,	PUNCT
bracis-28430	264	15	pp	pp	ADP
bracis-28430	264	16	.	.	PUNCT
bracis-28430	265	1	389–394	389–394	NUM
bracis-28430	265	2	.	.	X
bracis-28430	265	3	ieee	ieee	NOUN
bracis-28430	265	4	(	(	PUNCT
bracis-28430	265	5	2013	2013	NUM
bracis-28430	265	6	)	)	PUNCT
bracis-28430	265	7	google	google	PROPN
bracis-28430	265	8	scholar	scholar	NOUN
bracis-28430	265	9	  	  	SPACE
bracis-28430	265	10	street	street	NOUN
bracis-28430	265	11	,	,	PUNCT
bracis-28430	265	12	w.n	w.n	PROPN
bracis-28430	265	13	.	.	PROPN
bracis-28430	265	14	,	,	PUNCT
bracis-28430	265	15	kim	kim	PROPN
bracis-28430	265	16	,	,	PUNCT
bracis-28430	265	17	y.	y.	PROPN
bracis-28430	265	18	:	:	PUNCT
bracis-28430	265	19	a	a	DET
bracis-28430	265	20	streaming	streaming	NOUN
bracis-28430	265	21	ensemble	ensemble	ADJ
bracis-28430	265	22	algorithm	algorithm	NOUN
bracis-28430	265	23	(	(	PUNCT
bracis-28430	265	24	sea	sea	NOUN
bracis-28430	265	25	)	)	PUNCT
bracis-28430	265	26	for	for	ADP
bracis-28430	265	27	large	large	ADJ
bracis-28430	265	28	-	-	PUNCT
bracis-28430	265	29	scale	scale	NOUN
bracis-28430	265	30	classification	classification	NOUN
bracis-28430	265	31	.	.	PUNCT
bracis-28430	266	1	in	in	ADP
bracis-28430	266	2	:	:	PUNCT
bracis-28430	266	3	proceedings	proceeding	NOUN
bracis-28430	266	4	of	of	ADP
bracis-28430	266	5	the	the	DET
bracis-28430	266	6	seventh	seventh	ADJ
bracis-28430	266	7	acm	acm	PROPN
bracis-28430	266	8	sigkdd	sigkdd	NOUN
bracis-28430	266	9	international	international	ADJ
bracis-28430	266	10	conference	conference	NOUN
bracis-28430	266	11	on	on	ADP
bracis-28430	266	12	knowledge	knowledge	NOUN
bracis-28430	266	13	discovery	discovery	PROPN
bracis-28430	266	14	and	and	CCONJ
bracis-28430	266	15	data	datum	NOUN
bracis-28430	266	16	mining	mining	NOUN
bracis-28430	266	17	,	,	PUNCT
bracis-28430	266	18	pp	pp	ADJ
bracis-28430	266	19	.	.	PUNCT
bracis-28430	267	1	377–382	377–382	NUM
bracis-28430	267	2	(	(	PUNCT
bracis-28430	267	3	2001	2001	NUM
bracis-28430	267	4	)	)	PUNCT
bracis-28430	267	5	google	google	PROPN
bracis-28430	267	6	scholar	scholar	NOUN
bracis-28430	267	7	  	  	SPACE
bracis-28430	267	8	terpstra	terpstra	PROPN
bracis-28430	267	9	,	,	PUNCT
bracis-28430	267	10	d.	d.	PROPN
bracis-28430	267	11	,	,	PUNCT
bracis-28430	267	12	jagode	jagode	PROPN
bracis-28430	267	13	,	,	PUNCT
bracis-28430	267	14	h.	h.	PROPN
bracis-28430	267	15	,	,	PUNCT
bracis-28430	267	16	you	you	PRON
bracis-28430	267	17	,	,	PUNCT
bracis-28430	267	18	h.	h.	PROPN
bracis-28430	267	19	,	,	PUNCT
bracis-28430	267	20	dongarra	dongarra	PROPN
bracis-28430	267	21	,	,	PUNCT
bracis-28430	267	22	j.	j.	PROPN
bracis-28430	267	23	:	:	PUNCT
bracis-28430	267	24	collecting	collect	VERB
bracis-28430	267	25	performance	performance	NOUN
bracis-28430	267	26	data	datum	NOUN
bracis-28430	267	27	with	with	ADP
bracis-28430	267	28	papi	papi	NOUN
bracis-28430	267	29	-	-	PUNCT
bracis-28430	267	30	c.	c.	NOUN
bracis-28430	267	31	in	in	ADP
bracis-28430	267	32	:	:	PUNCT
bracis-28430	267	33	müller	müller	NOUN
bracis-28430	267	34	,	,	PUNCT
bracis-28430	267	35	m.	m.	NOUN
bracis-28430	267	36	,	,	PUNCT
bracis-28430	267	37	resch	resch	PROPN
bracis-28430	267	38	,	,	PUNCT
bracis-28430	267	39	m.	m.	NOUN
bracis-28430	267	40	,	,	PUNCT
bracis-28430	267	41	schulz	schulz	PROPN
bracis-28430	267	42	,	,	PUNCT
bracis-28430	267	43	a.	a.	PROPN
bracis-28430	267	44	,	,	PUNCT
bracis-28430	267	45	nagel	nagel	PROPN
bracis-28430	267	46	,	,	PUNCT
bracis-28430	267	47	w.	w.	PROPN
bracis-28430	267	48	(	(	PUNCT
bracis-28430	267	49	eds	eds	PROPN
bracis-28430	267	50	.	.	PUNCT
bracis-28430	267	51	)	)	PUNCT
bracis-28430	267	52	tools	tool	NOUN
bracis-28430	267	53	for	for	ADP
bracis-28430	267	54	high	high	ADJ
bracis-28430	267	55	performance	performance	NOUN
bracis-28430	267	56	computing	compute	VERB
bracis-28430	267	57	2009	2009	NUM
bracis-28430	267	58	.	.	PUNCT
bracis-28430	268	1	springer	springer	NOUN
bracis-28430	268	2	,	,	PUNCT
bracis-28430	268	3	berlin	berlin	PROPN
bracis-28430	268	4	,	,	PUNCT
bracis-28430	268	5	heidelberg	heidelberg	PROPN
bracis-28430	268	6	(	(	PUNCT
bracis-28430	268	7	2010	2010	NUM
bracis-28430	268	8	)	)	PUNCT
bracis-28430	268	9	.	.	PUNCT
bracis-28430	269	1	https://doi.org/10.1007/978-3-642-11261-4_11	https://doi.org/10.1007/978-3-642-11261-4_11	NUM
bracis-28430	269	2	widmer	widmer	PROPN
bracis-28430	269	3	,	,	PUNCT
bracis-28430	269	4	g.	g.	PROPN
bracis-28430	269	5	,	,	PUNCT
bracis-28430	269	6	kubat	kubat	PROPN
bracis-28430	269	7	,	,	PUNCT
bracis-28430	269	8	m.	m.	NOUN
bracis-28430	269	9	:	:	PUNCT
bracis-28430	269	10	learning	learn	VERB
bracis-28430	269	11	in	in	ADP
bracis-28430	269	12	the	the	DET
bracis-28430	269	13	presence	presence	NOUN
bracis-28430	269	14	of	of	ADP
bracis-28430	269	15	concept	concept	NOUN
bracis-28430	269	16	drift	drift	NOUN
bracis-28430	269	17	and	and	CCONJ
bracis-28430	269	18	hidden	hidden	ADJ
bracis-28430	269	19	contexts	contexts	NOUN
bracis-28430	269	20	.	.	PUNCT
bracis-28430	270	1	mach	mach	NOUN
bracis-28430	270	2	.	.	PUNCT
bracis-28430	271	1	learn	learn	VERB
bracis-28430	271	2	.	.	PUNCT
bracis-28430	272	1	23	23	NUM
bracis-28430	272	2	,	,	PUNCT
bracis-28430	272	3	69–101	69–101	NUM
bracis-28430	272	4	(	(	PUNCT
bracis-28430	272	5	1996	1996	NUM
bracis-28430	272	6	)	)	PUNCT
bracis-28430	272	7	article	article	NOUN
bracis-28430	272	8	  	  	SPACE
bracis-28430	272	9	google	google	PROPN
bracis-28430	272	10	scholar	scholar	NOUN
bracis-28430	272	11	  	  	SPACE
bracis-28430	272	12	download	download	NOUN
bracis-28430	272	13	references	reference	NOUN
bracis-28430	272	14	author	author	NOUN
bracis-28430	272	15	information	information	NOUN
bracis-28430	272	16	authors	author	NOUN
bracis-28430	272	17	and	and	CCONJ
bracis-28430	272	18	affiliations	affiliation	NOUN
bracis-28430	272	19	programa	programa	PROPN
bracis-28430	272	20	de	de	PROPN
bracis-28430	272	21	pós	pós	PROPN
bracis-28430	272	22	-	-	PUNCT
bracis-28430	272	23	graduação	graduação	PROPN
bracis-28430	272	24	em	em	PROPN
bracis-28430	272	25	informática	informática	PROPN
bracis-28430	272	26	(	(	PUNCT
bracis-28430	272	27	ppgia	ppgia	NOUN
bracis-28430	272	28	)	)	PUNCT
bracis-28430	272	29	,	,	PUNCT
bracis-28430	272	30	pontifícia	pontifícia	NOUN
bracis-28430	272	31	universidade	universidade	PROPN
bracis-28430	272	32	católica	católica	PROPN
bracis-28430	272	33	do	do	VERB
bracis-28430	272	34	paraná	paraná	PROPN
bracis-28430	272	35	(	(	PUNCT
bracis-28430	272	36	pucpr	pucpr	PROPN
bracis-28430	272	37	)	)	PUNCT
bracis-28430	272	38	,	,	PUNCT
bracis-28430	272	39	curitiba	curitiba	PROPN
bracis-28430	272	40	,	,	PUNCT
bracis-28430	272	41	paraná	paraná	PROPN
bracis-28430	272	42	,	,	PUNCT
bracis-28430	272	43	brazil	brazil	PROPN
bracis-28430	272	44	eric	eric	PROPN
bracis-28430	272	45	kenzo	kenzo	PROPN
bracis-28430	272	46	taniguchi	taniguchi	PROPN
bracis-28430	272	47	onuki	onuki	PROPN
bracis-28430	272	48	,	,	PUNCT
bracis-28430	272	49	 	 	SPACE
bracis-28430	272	50	andreia	andreia	NOUN
bracis-28430	272	51	malucelli	malucelli	PROPN
bracis-28430	272	52	 	 	SPACE
bracis-28430	272	53	&	&	CCONJ
bracis-28430	272	54	 	 	SPACE
bracis-28430	272	55	jean	jean	PROPN
bracis-28430	272	56	paul	paul	PROPN
bracis-28430	272	57	barddal	barddal	PROPN
bracis-28430	272	58	authors	author	NOUN
bracis-28430	272	59	eric	eric	PROPN
bracis-28430	272	60	kenzo	kenzo	PROPN
bracis-28430	272	61	taniguchi	taniguchi	PROPN
bracis-28430	272	62	onukiview	onukiview	PROPN
bracis-28430	272	63	author	author	NOUN
bracis-28430	272	64	publications	publication	VERB
bracis-28430	272	65	search	search	NOUN
bracis-28430	272	66	author	author	NOUN
bracis-28430	272	67	on	on	ADP
bracis-28430	272	68	:	:	PUNCT
bracis-28430	272	69	pubmed	pubmed	PROPN
bracis-28430	272	70	 	 	SPACE
bracis-28430	272	71	google	google	PROPN
bracis-28430	272	72	scholar	scholar	NOUN
bracis-28430	272	73	andreia	andreia	NOUN
bracis-28430	272	74	malucelliview	malucelliview	NOUN
bracis-28430	272	75	author	author	NOUN
bracis-28430	272	76	publications	publication	VERB
bracis-28430	272	77	search	search	NOUN
bracis-28430	272	78	author	author	NOUN
bracis-28430	272	79	on	on	ADP
bracis-28430	272	80	:	:	PUNCT
bracis-28430	272	81	pubmed	pubmed	PROPN
bracis-28430	272	82	 	 	SPACE
bracis-28430	272	83	google	google	PROPN
bracis-28430	272	84	scholar	scholar	PROPN
bracis-28430	272	85	jean	jean	PROPN
bracis-28430	272	86	paul	paul	PROPN
bracis-28430	272	87	barddalview	barddalview	PROPN
bracis-28430	272	88	author	author	NOUN
bracis-28430	272	89	publications	publication	NOUN
bracis-28430	272	90	search	search	NOUN
bracis-28430	272	91	author	author	NOUN
bracis-28430	272	92	on	on	ADP
bracis-28430	272	93	:	:	PUNCT
bracis-28430	272	94	pubmed	pubmed	PROPN
bracis-28430	272	95	 	 	SPACE
bracis-28430	272	96	google	google	PROPN
bracis-28430	272	97	scholar	scholar	NOUN
bracis-28430	272	98	corresponding	correspond	VERB
bracis-28430	272	99	author	author	NOUN
bracis-28430	272	100	correspondence	correspondence	NOUN
bracis-28430	272	101	to	to	ADP
bracis-28430	272	102	jean	jean	PROPN
bracis-28430	272	103	paul	paul	PROPN
bracis-28430	272	104	barddal	barddal	PROPN
bracis-28430	272	105	.	.	PUNCT
bracis-28430	273	1	editor	editor	NOUN
bracis-28430	273	2	information	information	NOUN
bracis-28430	273	3	editors	editor	NOUN
bracis-28430	273	4	and	and	CCONJ
bracis-28430	273	5	affiliations	affiliation	NOUN
bracis-28430	273	6	federal	federal	PROPN
bracis-28430	273	7	university	university	PROPN
bracis-28430	273	8	of	of	ADP
bracis-28430	273	9	são	são	PROPN
bracis-28430	273	10	carlos	carlos	PROPN
bracis-28430	273	11	,	,	PUNCT
bracis-28430	273	12	são	são	PROPN
bracis-28430	273	13	carlos	carlos	PROPN
bracis-28430	273	14	,	,	PUNCT
bracis-28430	273	15	brazil	brazil	PROPN
bracis-28430	273	16	murilo	murilo	PROPN
bracis-28430	273	17	c.	c.	PROPN
bracis-28430	273	18	naldi	naldi	PROPN
bracis-28430	273	19	centro	centro	PROPN
bracis-28430	273	20	universitario	universitario	PROPN
bracis-28430	273	21	da	da	PROPN
bracis-28430	273	22	fei	fei	PROPN
bracis-28430	273	23	,	,	PUNCT
bracis-28430	273	24	são	são	PROPN
bracis-28430	273	25	bernardo	bernardo	PROPN
bracis-28430	273	26	do	do	AUX
bracis-28430	273	27	campo	campo	PROPN
bracis-28430	273	28	,	,	PUNCT
bracis-28430	273	29	brazil	brazil	PROPN
bracis-28430	273	30	reinaldo	reinaldo	PROPN
bracis-28430	273	31	a.	a.	PROPN
bracis-28430	273	32	c.	c.	PROPN
bracis-28430	273	33	bianchi	bianchi	PROPN
bracis-28430	273	34	rights	right	NOUN
bracis-28430	273	35	and	and	CCONJ
bracis-28430	273	36	permissions	permission	NOUN
bracis-28430	273	37	reprints	reprint	NOUN
bracis-28430	273	38	and	and	CCONJ
bracis-28430	273	39	permissions	permission	VERB
bracis-28430	273	40	copyright	copyright	NOUN
bracis-28430	273	41	information	information	NOUN
bracis-28430	273	42	©	©	ADP
bracis-28430	273	43	2023	2023	NUM
bracis-28430	273	44	the	the	DET
bracis-28430	273	45	author(s	author(s	NOUN
bracis-28430	273	46	)	)	PUNCT
bracis-28430	273	47	,	,	PUNCT
bracis-28430	273	48	under	under	ADP
bracis-28430	273	49	exclusive	exclusive	ADJ
bracis-28430	273	50	license	license	NOUN
bracis-28430	273	51	to	to	ADP
bracis-28430	273	52	springer	springer	NOUN
bracis-28430	273	53	nature	nature	PROPN
bracis-28430	273	54	switzerland	switzerland	PROPN
bracis-28430	273	55	ag	ag	PROPN
bracis-28430	273	56	about	about	ADP
bracis-28430	273	57	this	this	DET
bracis-28430	273	58	paper	paper	NOUN
bracis-28430	273	59	cite	cite	VERB
bracis-28430	273	60	this	this	DET
bracis-28430	273	61	paper	paper	NOUN
bracis-28430	273	62	onuki	onuki	NOUN
bracis-28430	273	63	,	,	PUNCT
bracis-28430	273	64	e.k.t	e.k.t	ADP
bracis-28430	273	65	.	.	PROPN
bracis-28430	273	66	,	,	PUNCT
bracis-28430	273	67	malucelli	malucelli	PROPN
bracis-28430	273	68	,	,	PUNCT
bracis-28430	273	69	a.	a.	NOUN
bracis-28430	273	70	,	,	PUNCT
bracis-28430	273	71	barddal	barddal	NOUN
bracis-28430	273	72	,	,	PUNCT
bracis-28430	273	73	j.p	j.p	PROPN
bracis-28430	273	74	.	.	PROPN
bracis-28430	273	75	(	(	PUNCT
bracis-28430	273	76	2023	2023	NUM
bracis-28430	273	77	)	)	PUNCT
bracis-28430	273	78	.	.	PUNCT
bracis-28430	274	1	a	a	DET
bracis-28430	274	2	tool	tool	NOUN
bracis-28430	274	3	for	for	ADP
bracis-28430	274	4	 	 	SPACE
bracis-28430	274	5	measuring	measure	VERB
bracis-28430	274	6	energy	energy	NOUN
bracis-28430	274	7	consumption	consumption	NOUN
bracis-28430	274	8	in	in	ADP
bracis-28430	274	9	 	 	SPACE
bracis-28430	274	10	data	datum	NOUN
bracis-28430	274	11	stream	stream	NOUN
bracis-28430	274	12	mining	mining	NOUN
bracis-28430	274	13	.	.	PUNCT
bracis-28430	275	1	in	in	ADP
bracis-28430	275	2	:	:	PUNCT
bracis-28430	275	3	naldi	naldi	PROPN
bracis-28430	275	4	,	,	PUNCT
bracis-28430	275	5	m.c	m.c	PROPN
bracis-28430	275	6	.	.	PROPN
bracis-28430	275	7	,	,	PUNCT
bracis-28430	275	8	bianchi	bianchi	PROPN
bracis-28430	275	9	,	,	PUNCT
bracis-28430	275	10	r.a.c	r.a.c	ADP
bracis-28430	275	11	.	.	PUNCT
bracis-28430	275	12	(	(	PUNCT
bracis-28430	275	13	eds	ed	NOUN
bracis-28430	275	14	)	)	PUNCT
bracis-28430	275	15	intelligent	intelligent	ADJ
bracis-28430	275	16	systems	system	NOUN
bracis-28430	275	17	.	.	PUNCT
bracis-28430	276	1	bracis	bracis	PROPN
bracis-28430	276	2	2023	2023	NUM
bracis-28430	276	3	.	.	PUNCT
bracis-28430	277	1	lecture	lecture	NOUN
bracis-28430	277	2	notes	note	NOUN
bracis-28430	277	3	in	in	ADP
bracis-28430	277	4	computer	computer	NOUN
bracis-28430	277	5	science	science	NOUN
bracis-28430	277	6	(	(	PUNCT
bracis-28430	277	7	)	)	PUNCT
bracis-28430	277	8	,	,	PUNCT
bracis-28430	277	9	vol	vol	NOUN
bracis-28430	277	10	14197	14197	NUM
bracis-28430	277	11	.	.	PUNCT
bracis-28430	278	1	springer	springer	NOUN
bracis-28430	278	2	,	,	PUNCT
bracis-28430	278	3	cham	cham	PROPN
bracis-28430	278	4	.	.	PUNCT
bracis-28430	279	1	https://doi.org/10.1007/978-3-031-45392-2_28	https://doi.org/10.1007/978-3-031-45392-2_28	PROPN
bracis-28430	279	2	download	download	NOUN
bracis-28430	279	3	citation	citation	NOUN
bracis-28430	279	4	.ris	.ris	PUNCT
bracis-28430	279	5	.enw	.enw	PROPN
bracis-28430	279	6	.bib	.bib	PUNCT
bracis-28430	280	1	doi	doi	PROPN
bracis-28430	280	2	:	:	PUNCT
bracis-28430	280	3	https://doi.org/10.1007/978-3-031-45392-2_28	https://doi.org/10.1007/978-3-031-45392-2_28	PROPN
bracis-28430	280	4	published	publish	VERB
bracis-28430	280	5	:	:	PUNCT
bracis-28430	280	6	12	12	NUM
bracis-28430	280	7	october	october	PROPN
bracis-28430	280	8	2023	2023	NUM
bracis-28430	280	9	publisher	publisher	NOUN
bracis-28430	280	10	name	name	NOUN
bracis-28430	280	11	:	:	PUNCT
bracis-28430	280	12	springer	springer	NOUN
bracis-28430	280	13	,	,	PUNCT
bracis-28430	280	14	cham	cham	PROPN
bracis-28430	280	15	print	print	PROPN
bracis-28430	280	16	isbn	isbn	PROPN
bracis-28430	280	17	:	:	PUNCT
bracis-28430	280	18	978	978	NUM
bracis-28430	280	19	-	-	SYM
bracis-28430	280	20	3	3	NUM
bracis-28430	280	21	-	-	PUNCT
bracis-28430	280	22	031	031	NUM
bracis-28430	280	23	-	-	PUNCT
bracis-28430	280	24	45391	45391	NUM
bracis-28430	280	25	-	-	SYM
bracis-28430	280	26	5	5	NUM
bracis-28430	280	27	online	online	ADJ
bracis-28430	280	28	isbn	isbn	NOUN
bracis-28430	280	29	:	:	PUNCT
bracis-28430	280	30	978	978	NUM
bracis-28430	280	31	-	-	SYM
bracis-28430	280	32	3	3	NUM
bracis-28430	280	33	-	-	PUNCT
bracis-28430	280	34	031	031	NUM
bracis-28430	280	35	-	-	PUNCT
bracis-28430	280	36	45392	45392	NUM
bracis-28430	280	37	-	-	SYM
bracis-28430	280	38	2	2	NUM
bracis-28430	280	39	ebook	ebook	NOUN
bracis-28430	280	40	packages	package	NOUN
bracis-28430	280	41	:	:	PUNCT
bracis-28430	280	42	computer	computer	NOUN
bracis-28430	280	43	sciencecomputer	sciencecomputer	NOUN
bracis-28430	280	44	science	science	NOUN
bracis-28430	280	45	(	(	PUNCT
bracis-28430	280	46	r0	r0	NOUN
bracis-28430	280	47	)	)	PUNCT
bracis-28430	280	48	share	share	VERB
bracis-28430	280	49	this	this	DET
bracis-28430	280	50	paper	paper	NOUN
bracis-28430	280	51	anyone	anyone	PRON
bracis-28430	280	52	you	you	PRON
bracis-28430	280	53	share	share	VERB
bracis-28430	280	54	the	the	DET
bracis-28430	280	55	following	follow	VERB
bracis-28430	280	56	link	link	NOUN
bracis-28430	280	57	with	with	ADP
bracis-28430	280	58	will	will	AUX
bracis-28430	280	59	be	be	AUX
bracis-28430	280	60	able	able	ADJ
bracis-28430	280	61	to	to	PART
bracis-28430	280	62	read	read	VERB
bracis-28430	280	63	this	this	DET
bracis-28430	280	64	content	content	NOUN
bracis-28430	280	65	:	:	PUNCT
bracis-28430	280	66	get	get	VERB
bracis-28430	280	67	shareable	shareable	ADJ
bracis-28430	280	68	linksorry	linksorry	NOUN
bracis-28430	280	69	,	,	PUNCT
bracis-28430	280	70	a	a	DET
bracis-28430	280	71	shareable	shareable	ADJ
bracis-28430	280	72	link	link	NOUN
bracis-28430	280	73	is	be	AUX
bracis-28430	280	74	not	not	PART
bracis-28430	280	75	currently	currently	ADV
bracis-28430	280	76	available	available	ADJ
bracis-28430	280	77	for	for	ADP
bracis-28430	280	78	this	this	DET
bracis-28430	280	79	article	article	NOUN
bracis-28430	280	80	.	.	PUNCT
bracis-28430	281	1	copy	copy	VERB
bracis-28430	281	2	shareable	shareable	ADJ
bracis-28430	281	3	link	link	NOUN
bracis-28430	281	4	to	to	PART
bracis-28430	281	5	clipboard	clipboard	NOUN
bracis-28430	281	6	provided	provide	VERB
bracis-28430	281	7	by	by	ADP
bracis-28430	281	8	the	the	DET
bracis-28430	281	9	springer	springer	NOUN
bracis-28430	281	10	nature	nature	PROPN
bracis-28430	281	11	sharedit	sharedit	PROPN
bracis-28430	281	12	content	content	NOUN
bracis-28430	281	13	-	-	PUNCT
bracis-28430	281	14	sharing	share	VERB
bracis-28430	281	15	initiative	initiative	NOUN
bracis-28430	281	16	keywords	keyword	NOUN
bracis-28430	281	17	data	datum	NOUN
bracis-28430	281	18	stream	stream	NOUN
bracis-28430	281	19	mining	mining	NOUN
bracis-28430	281	20	energy	energy	NOUN
bracis-28430	281	21	consumption	consumption	NOUN
bracis-28430	281	22	green	green	ADJ
bracis-28430	281	23	computing	computing	NOUN
bracis-28430	281	24	publish	publish	NOUN
bracis-28430	281	25	with	with	ADP
bracis-28430	281	26	us	us	PROPN
bracis-28430	281	27	policies	policy	NOUN
bracis-28430	281	28	and	and	CCONJ
bracis-28430	281	29	ethics	ethic	NOUN
bracis-28430	281	30	profiles	profile	NOUN
bracis-28430	281	31	jean	jean	PROPN
bracis-28430	281	32	paul	paul	PROPN
bracis-28430	281	33	barddal	barddal	PROPN
bracis-28430	281	34	view	view	NOUN
bracis-28430	281	35	author	author	NOUN
bracis-28430	281	36	profile	profile	NOUN
bracis-28430	281	37	search	search	NOUN
bracis-28430	281	38	search	search	NOUN
bracis-28430	281	39	by	by	ADP
bracis-28430	281	40	keyword	keyword	NOUN
bracis-28430	281	41	or	or	CCONJ
bracis-28430	281	42	author	author	NOUN
bracis-28430	281	43	search	search	NOUN
bracis-28430	281	44	navigation	navigation	NOUN
bracis-28430	281	45	find	find	VERB
bracis-28430	281	46	a	a	DET
bracis-28430	281	47	journal	journal	NOUN
bracis-28430	281	48	publish	publish	VERB
bracis-28430	281	49	with	with	ADP
bracis-28430	281	50	us	we	PRON
bracis-28430	281	51	track	track	VERB
bracis-28430	281	52	your	your	PRON
bracis-28430	281	53	research	research	NOUN
bracis-28430	281	54	discover	discover	VERB
bracis-28430	281	55	content	content	NOUN
bracis-28430	281	56	journals	journal	NOUN
bracis-28430	281	57	a	a	DET
bracis-28430	281	58	-	-	PUNCT
bracis-28430	281	59	z	z	NOUN
bracis-28430	281	60	books	book	NOUN
bracis-28430	281	61	a	a	DET
bracis-28430	281	62	-	-	PUNCT
bracis-28430	281	63	z	z	NOUN
bracis-28430	281	64	publish	publish	NOUN
bracis-28430	281	65	with	with	ADP
bracis-28430	281	66	us	us	PROPN
bracis-28430	281	67	journal	journal	PROPN
bracis-28430	281	68	finder	finder	PROPN
bracis-28430	281	69	publish	publish	VERB
bracis-28430	281	70	your	your	PRON
bracis-28430	281	71	research	research	NOUN
bracis-28430	281	72	language	language	NOUN
bracis-28430	281	73	editing	edit	VERB
bracis-28430	281	74	open	open	ADJ
bracis-28430	281	75	access	access	NOUN
bracis-28430	281	76	publishing	publishing	NOUN
bracis-28430	281	77	products	product	NOUN
bracis-28430	281	78	and	and	CCONJ
bracis-28430	281	79	services	service	NOUN
bracis-28430	281	80	our	our	PRON
bracis-28430	281	81	products	product	NOUN
bracis-28430	281	82	librarians	librarian	VERB
bracis-28430	281	83	societies	society	NOUN
bracis-28430	281	84	partners	partner	NOUN
bracis-28430	281	85	and	and	CCONJ
bracis-28430	281	86	advertisers	advertiser	NOUN
bracis-28430	281	87	our	our	PRON
bracis-28430	281	88	brands	brand	NOUN
bracis-28430	281	89	springer	springer	NOUN
bracis-28430	281	90	nature	nature	PROPN
bracis-28430	281	91	portfolio	portfolio	PROPN
bracis-28430	281	92	bmc	bmc	PROPN
bracis-28430	281	93	palgrave	palgrave	PROPN
bracis-28430	281	94	macmillan	macmillan	PROPN
bracis-28430	281	95	apress	apress	PROPN
bracis-28430	281	96	discover	discover	VERB
bracis-28430	281	97	your	your	PRON
bracis-28430	281	98	privacy	privacy	NOUN
bracis-28430	281	99	choices	choice	NOUN
bracis-28430	281	100	/	/	SYM
bracis-28430	281	101	manage	manage	NOUN
bracis-28430	281	102	cookies	cookie	NOUN
bracis-28430	281	103	your	your	PRON
bracis-28430	281	104	us	us	PROPN
bracis-28430	282	1	state	state	NOUN
bracis-28430	282	2	privacy	privacy	NOUN
bracis-28430	282	3	rights	right	NOUN
bracis-28430	282	4	accessibility	accessibility	NOUN
bracis-28430	282	5	statement	statement	NOUN
bracis-28430	282	6	terms	term	NOUN
bracis-28430	282	7	and	and	CCONJ
bracis-28430	282	8	conditions	condition	NOUN
bracis-28430	282	9	privacy	privacy	NOUN
bracis-28430	282	10	policy	policy	NOUN
bracis-28430	282	11	help	help	NOUN
bracis-28430	282	12	and	and	CCONJ
bracis-28430	282	13	support	support	VERB
bracis-28430	282	14	legal	legal	ADJ
bracis-28430	282	15	notice	notice	NOUN
bracis-28430	282	16	cancel	cancel	VERB
bracis-28430	282	17	contracts	contract	NOUN
bracis-28430	282	18	here	here	ADV
bracis-28430	282	19	129.74.145.123	129.74.145.123	NUM
bracis-28430	282	20	hesburgh	hesburgh	PROPN
bracis-28430	282	21	library	library	PROPN
bracis-28430	282	22	er	er	INTJ
bracis-28430	282	23	unit	unit	NOUN
bracis-28430	282	24	(	(	PUNCT
bracis-28430	282	25	3005732405	3005732405	NUM
bracis-28430	282	26	)	)	PUNCT
bracis-28430	282	27	northeast	northeast	ADJ
bracis-28430	282	28	research	research	NOUN
bracis-28430	282	29	libraries	library	NOUN
bracis-28430	282	30	(	(	PUNCT
bracis-28430	282	31	nerl	nerl	PROPN
bracis-28430	282	32	)	)	PUNCT
bracis-28430	282	33	(	(	PUNCT
bracis-28430	282	34	8200828607	8200828607	NUM
bracis-28430	282	35	)	)	PUNCT
bracis-28430	282	36	nerl	nerl	VERB
bracis-28430	282	37	ta	ta	X
bracis-28430	282	38	account	account	NOUN
bracis-28430	282	39	(	(	PUNCT
bracis-28430	282	40	3006206169	3006206169	NUM
bracis-28430	282	41	)	)	PUNCT
bracis-28430	282	42	university	university	NOUN
bracis-28430	282	43	of	of	ADP
bracis-28430	282	44	notre	notre	PROPN
bracis-28430	282	45	dame	dame	PROPN
bracis-28430	282	46	hesburgh	hesburgh	PROPN
bracis-28430	282	47	library	library	NOUN
bracis-28430	282	48	(	(	PUNCT
bracis-28430	282	49	3000184373	3000184373	NUM
bracis-28430	282	50	)	)	PUNCT
bracis-28430	283	1	©	©	ADP
bracis-28430	283	2	2025	2025	NUM
bracis-28430	283	3	springer	springer	NOUN
bracis-28430	283	4	nature	nature	NOUN
