id	sid	tid	token	lemma	pos
gra-79	1	1	introduction	introduction	NOUN
gra-79	1	2	data	datum	NOUN
gra-79	1	3	mining	mining	NOUN
gra-79	1	4	is	be	AUX
gra-79	1	5	dened	dene	VERB
gra-79	1	6	as	as	ADP
gra-79	1	7	the	the	DET
gra-79	1	8	process	process	NOUN
gra-79	1	9	in	in	ADP
gra-79	1	10	which	which	PRON
gra-79	1	11	useful	useful	ADJ
gra-79	1	12	information	information	NOUN
gra-79	1	13	is	be	AUX
gra-79	1	14	extracted	extract	VERB
gra-79	1	15	from	from	ADP
gra-79	1	16	the	the	DET
gra-79	1	17	raw	raw	ADJ
gra-79	1	18	data	datum	NOUN
gra-79	1	19	.	.	PUNCT
gra-79	2	1	in	in	ADP
gra-79	2	2	order	order	NOUN
gra-79	2	3	to	to	PART
gra-79	2	4	acquire	acquire	VERB
gra-79	2	5	essential	essential	ADJ
gra-79	2	6	knowledge	knowledge	NOUN
gra-79	2	7	it	it	PRON
gra-79	2	8	is	be	AUX
gra-79	2	9	essential	essential	ADJ
gra-79	2	10	to	to	PART
gra-79	2	11	extract	extract	VERB
gra-79	2	12	large	large	ADJ
gra-79	2	13	amount	amount	NOUN
gra-79	2	14	of	of	ADP
gra-79	2	15	data	datum	NOUN
gra-79	2	16	.	.	PUNCT
gra-79	3	1	this	this	DET
gra-79	3	2	process	process	NOUN
gra-79	3	3	of	of	ADP
gra-79	3	4	extraction	extraction	NOUN
gra-79	3	5	is	be	AUX
gra-79	3	6	also	also	ADV
gra-79	3	7	known	know	VERB
gra-79	3	8	as	as	ADP
gra-79	3	9	misnomer	misnomer	NOUN
gra-79	3	10	.	.	PUNCT
gra-79	4	1	currently	currently	ADV
gra-79	4	2	in	in	ADP
gra-79	4	3	every	every	DET
gra-79	4	4	eld	eld	NOUN
gra-79	4	5	,	,	PUNCT
gra-79	4	6	there	there	PRON
gra-79	4	7	is	be	VERB
gra-79	4	8	large	large	ADJ
gra-79	4	9	amount	amount	NOUN
gra-79	4	10	of	of	ADP
gra-79	4	11	data	datum	NOUN
gra-79	4	12	is	be	AUX
gra-79	4	13	present	present	ADJ
gra-79	4	14	and	and	CCONJ
gra-79	4	15	analyzing	analyze	VERB
gra-79	4	16	whole	whole	ADJ
gra-79	4	17	data	datum	NOUN
gra-79	4	18	is	be	AUX
gra-79	4	19	very	very	ADV
gra-79	4	20	difcult	difcult	NOUN
gra-79	4	21	as	as	ADV
gra-79	4	22	well	well	ADV
gra-79	4	23	as	as	SCONJ
gra-79	4	24	it	it	PRON
gra-79	4	25	consumes	consume	VERB
gra-79	4	26	a	a	DET
gra-79	4	27	lot	lot	NOUN
gra-79	4	28	of	of	ADP
gra-79	4	29	time	time	NOUN
gra-79	4	30	.	.	PUNCT
gra-79	5	1	this	this	DET
gra-79	5	2	present	present	ADJ
gra-79	5	3	data	data	NOUN
gra-79	5	4	is	be	AUX
gra-79	5	5	in	in	ADP
gra-79	5	6	raw	raw	ADJ
gra-79	5	7	form	form	NOUN
gra-79	5	8	that	that	PRON
gra-79	5	9	is	be	AUX
gra-79	5	10	of	of	ADP
gra-79	5	11	no	no	DET
gra-79	5	12	use	use	NOUN
gra-79	5	13	hence	hence	ADV
gra-79	5	14	a	a	DET
gra-79	5	15	proper	proper	ADJ
gra-79	5	16	data	data	NOUN
gra-79	5	17	mining	mining	NOUN
gra-79	5	18	process	process	NOUN
gra-79	5	19	is	be	AUX
gra-79	5	20	necessary	necessary	ADJ
gra-79	5	21	to	to	PART
gra-79	5	22	extract	extract	VERB
gra-79	5	23	knowledge	knowledge	NOUN
gra-79	5	24	.	.	PUNCT
gra-79	6	1	the	the	DET
gra-79	6	2	process	process	NOUN
gra-79	6	3	of	of	ADP
gra-79	6	4	extracting	extract	VERB
gra-79	6	5	raw	raw	ADJ
gra-79	6	6	material	material	NOUN
gra-79	6	7	is	be	AUX
gra-79	6	8	characterized	characterize	VERB
gra-79	6	9	as	as	ADP
gra-79	6	10	mining	mining	NOUN
gra-79	6	11	[	[	X
gra-79	6	12	1	1	NUM
gra-79	6	13	]	]	PUNCT
gra-79	6	14	.	.	PUNCT
gra-79	7	1	for	for	ADP
gra-79	7	2	the	the	DET
gra-79	7	3	analysis	analysis	NOUN
gra-79	7	4	of	of	ADP
gra-79	7	5	the	the	DET
gra-79	7	6	simple	simple	ADJ
gra-79	7	7	data	datum	NOUN
gra-79	7	8	there	there	PRON
gra-79	7	9	are	be	VERB
gra-79	7	10	various	various	ADJ
gra-79	7	11	cheaper	cheap	ADJ
gra-79	7	12	,	,	PUNCT
gra-79	7	13	simpler	simple	ADJ
gra-79	7	14	and	and	CCONJ
gra-79	7	15	more	more	ADV
gra-79	7	16	effective	effective	ADJ
gra-79	7	17	solutions	solution	NOUN
gra-79	7	18	are	be	AUX
gra-79	7	19	present	present	ADJ
gra-79	7	20	.	.	PUNCT
gra-79	8	1	the	the	DET
gra-79	8	2	main	main	ADJ
gra-79	8	3	objective	objective	NOUN
gra-79	8	4	of	of	ADP
gra-79	8	5	using	use	VERB
gra-79	8	6	data	datum	NOUN
gra-79	8	7	mining	mining	NOUN
gra-79	8	8	is	be	AUX
gra-79	8	9	to	to	PART
gra-79	8	10	discover	discover	VERB
gra-79	8	11	important	important	ADJ
gra-79	8	12	information	information	NOUN
gra-79	8	13	that	that	PRON
gra-79	8	14	is	be	AUX
gra-79	8	15	available	available	ADJ
gra-79	8	16	in	in	ADP
gra-79	8	17	distorted	distorted	ADJ
gra-79	8	18	manner	manner	NOUN
gra-79	8	19	.	.	PUNCT
gra-79	9	1	with	with	ADP
gra-79	9	2	the	the	DET
gra-79	9	3	help	help	NOUN
gra-79	9	4	of	of	ADP
gra-79	9	5	databases	database	NOUN
gra-79	9	6	,	,	PUNCT
gra-79	9	7	data	datum	NOUN
gra-79	9	8	mining	mining	NOUN
gra-79	9	9	tools	tool	NOUN
gra-79	9	10	can	can	AUX
gra-79	9	11	sweep	sweep	VERB
gra-79	9	12	and	and	CCONJ
gra-79	9	13	can	can	AUX
gra-79	9	14	identify	identify	VERB
gra-79	9	15	previously	previously	ADV
gra-79	9	16	hidden	hide	VERB
gra-79	9	17	patterns	pattern	NOUN
gra-79	9	18	.	.	PUNCT
gra-79	10	1	data	datum	NOUN
gra-79	10	2	entry	entry	NOUN
gra-79	10	3	key	key	ADJ
gra-79	10	4	errors	error	NOUN
gra-79	10	5	are	be	AUX
gra-79	10	6	represented	represent	VERB
gra-79	10	7	by	by	ADP
gra-79	10	8	the	the	DET
gra-79	10	9	patterns	pattern	NOUN
gra-79	10	10	discovery	discovery	NOUN
gra-79	10	11	problems	problem	NOUN
gra-79	10	12	such	such	ADJ
gra-79	10	13	as	as	ADP
gra-79	10	14	network	network	NOUN
gra-79	10	15	system	system	NOUN
gra-79	10	16	and	and	CCONJ
gra-79	10	17	fraudulent	fraudulent	ADJ
gra-79	10	18	credit	credit	NOUN
gra-79	10	19	card	card	NOUN
gra-79	10	20	transactions	transaction	NOUN
gra-79	10	21	detection	detection	NOUN
gra-79	10	22	.	.	PUNCT
gra-79	11	1	therefore	therefore	ADV
gra-79	11	2	the	the	DET
gra-79	11	3	result	result	NOUN
gra-79	11	4	must	must	AUX
gra-79	11	5	be	be	AUX
gra-79	11	6	presented	present	VERB
gra-79	11	7	in	in	ADP
gra-79	11	8	the	the	DET
gra-79	11	9	way	way	NOUN
gra-79	11	10	human	human	NOUN
gra-79	11	11	can	can	AUX
gra-79	11	12	understand	understand	VERB
gra-79	11	13	possible	possible	ADJ
gra-79	11	14	with	with	ADP
gra-79	11	15	the	the	DET
gra-79	11	16	help	help	NOUN
gra-79	11	17	of	of	ADP
gra-79	11	18	network	network	NOUN
gra-79	11	19	supervisor	supervisor	NOUN
gra-79	11	20	and	and	CCONJ
gra-79	11	21	marketing	marketing	NOUN
gra-79	11	22	manager	manager	NOUN
gra-79	11	23	domain	domain	NOUN
gra-79	11	24	expert	expert	NOUN
gra-79	11	25	.	.	PUNCT
gra-79	12	1	the	the	DET
gra-79	12	2	predictive	predictive	ADJ
gra-79	12	3	information	information	NOUN
gra-79	12	4	can	can	AUX
gra-79	12	5	be	be	AUX
gra-79	12	6	extracted	extract	VERB
gra-79	12	7	from	from	ADP
gra-79	12	8	various	various	ADJ
gra-79	12	9	applications	application	NOUN
gra-79	12	10	with	with	ADP
gra-79	12	11	the	the	DET
gra-79	12	12	help	help	NOUN
gra-79	12	13	of	of	ADP
gra-79	12	14	efcient	efcient	ADJ
gra-79	12	15	data	datum	NOUN
gra-79	12	16	mining	mining	NOUN
gra-79	12	17	tools	tool	NOUN
gra-79	12	18	[	[	X
gra-79	12	19	2	2	NUM
gra-79	12	20	]	]	PUNCT
gra-79	12	21	.	.	PUNCT
gra-79	13	1	nowadays	nowadays	ADV
gra-79	13	2	satellite	satellite	NOUN
gra-79	13	3	pictures	picture	NOUN
gra-79	13	4	,	,	PUNCT
gra-79	13	5	business	business	NOUN
gra-79	13	6	transactions	transaction	NOUN
gra-79	13	7	,	,	PUNCT
gra-79	13	8	text	text	NOUN
gra-79	13	9	-	-	PUNCT
gra-79	13	10	reports	report	NOUN
gra-79	13	11	,	,	PUNCT
gra-79	13	12	military	military	ADJ
gra-79	13	13	intelligence	intelligence	NOUN
gra-79	13	14	and	and	CCONJ
gra-79	13	15	scientic	scientic	PROPN
gra-79	13	16	data	datum	NOUN
gra-79	13	17	are	be	AUX
gra-79	13	18	the	the	DET
gra-79	13	19	major	major	ADJ
gra-79	13	20	source	source	NOUN
gra-79	13	21	of	of	ADP
gra-79	13	22	information	information	NOUN
gra-79	13	23	that	that	PRON
gra-79	13	24	needs	need	VERB
gra-79	13	25	to	to	PART
gra-79	13	26	be	be	AUX
gra-79	13	27	handled	handle	VERB
gra-79	13	28	.	.	PUNCT
gra-79	14	1	for	for	ADP
gra-79	14	2	decision	decision	NOUN
gra-79	14	3	-	-	PUNCT
gra-79	14	4	making	make	VERB
gra-79	14	5	no	no	DET
gra-79	14	6	appropriate	appropriate	ADJ
gra-79	14	7	results	result	NOUN
gra-79	14	8	are	be	AUX
gra-79	14	9	provided	provide	VERB
gra-79	14	10	by	by	ADP
gra-79	14	11	the	the	DET
gra-79	14	12	information	information	NOUN
gra-79	14	13	retrieval	retrieval	NOUN
gra-79	14	14	.	.	PUNCT
gra-79	15	1	it	it	PRON
gra-79	15	2	is	be	AUX
gra-79	15	3	required	require	VERB
gra-79	15	4	to	to	PART
gra-79	15	5	invent	invent	VERB
gra-79	15	6	new	new	ADJ
gra-79	15	7	methods	method	NOUN
gra-79	15	8	in	in	ADP
gra-79	15	9	order	order	NOUN
gra-79	15	10	to	to	PART
gra-79	15	11	handle	handle	VERB
gra-79	15	12	large	large	ADJ
gra-79	15	13	amount	amount	NOUN
gra-79	15	14	of	of	ADP
gra-79	15	15	data	datum	NOUN
gra-79	15	16	that	that	PRON
gra-79	15	17	helps	help	VERB
gra-79	15	18	in	in	ADP
gra-79	15	19	making	make	VERB
gra-79	15	20	good	good	ADJ
gra-79	15	21	decisions	decision	NOUN
gra-79	15	22	.	.	PUNCT
gra-79	16	1	in	in	ADP
gra-79	16	2	the	the	DET
gra-79	16	3	raw	raw	ADJ
gra-79	16	4	data	datum	NOUN
gra-79	16	5	it	it	PRON
gra-79	16	6	is	be	AUX
gra-79	16	7	required	require	VERB
gra-79	16	8	to	to	PART
gra-79	16	9	discover	discover	VERB
gra-79	16	10	new	new	ADJ
gra-79	16	11	patterns	pattern	NOUN
gra-79	16	12	and	and	CCONJ
gra-79	16	13	important	important	ADJ
gra-79	16	14	information	information	NOUN
gra-79	16	15	is	be	AUX
gra-79	16	16	extracted	extract	VERB
gra-79	16	17	in	in	ADP
gra-79	16	18	order	order	NOUN
gra-79	16	19	to	to	PART
gra-79	16	20	summarize	summarize	VERB
gra-79	16	21	all	all	DET
gra-79	16	22	the	the	DET
gra-79	16	23	data	datum	NOUN
gra-79	16	24	.	.	PUNCT
gra-79	17	1	in	in	ADP
gra-79	17	2	many	many	ADJ
gra-79	17	3	applications	application	NOUN
gra-79	17	4	a	a	DET
gra-79	17	5	great	great	ADJ
gra-79	17	6	success	success	NOUN
gra-79	17	7	is	be	AUX
gra-79	17	8	provided	provide	VERB
gra-79	17	9	by	by	ADP
gra-79	17	10	the	the	DET
gra-79	17	11	data	datum	NOUN
gra-79	17	12	mining	mining	NOUN
gra-79	17	13	and	and	CCONJ
gra-79	17	14	various	various	ADJ
gra-79	17	15	companies	company	NOUN
gra-79	17	16	such	such	ADJ
gra-79	17	17	as	as	ADP
gra-79	17	18	communication	communication	NOUN
gra-79	17	19	,	,	PUNCT
gra-79	17	20	nancial	nancial	ADJ
gra-79	17	21	,	,	PUNCT
gra-79	17	22	retail	retail	ADJ
gra-79	17	23	and	and	CCONJ
gra-79	17	24	marketing	marketing	NOUN
gra-79	17	25	organizations	organization	NOUN
gra-79	17	26	are	be	AUX
gra-79	17	27	utilizing	utilize	VERB
gra-79	17	28	this	this	DET
gra-79	17	29	technique	technique	NOUN
gra-79	17	30	in	in	ADP
gra-79	17	31	order	order	NOUN
gra-79	17	32	to	to	PART
gra-79	17	33	minimize	minimize	VERB
gra-79	17	34	their	their	PRON
gra-79	17	35	work	work	NOUN
gra-79	17	36	pressure	pressure	NOUN
gra-79	18	1	[	[	X
gra-79	18	2	3	3	NUM
gra-79	18	3	]	]	PUNCT
gra-79	18	4	.	.	PUNCT
gra-79	19	1	for	for	ADP
gra-79	19	2	the	the	DET
gra-79	19	3	development	development	NOUN
gra-79	19	4	of	of	ADP
gra-79	19	5	product	product	NOUN
gra-79	19	6	and	and	CCONJ
gra-79	19	7	its	its	PRON
gra-79	19	8	promotion	promotion	NOUN
gra-79	19	9	,	,	PUNCT
gra-79	19	10	retailers	retailer	NOUN
gra-79	19	11	used	use	VERB
gra-79	19	12	data	data	NOUN
gra-79	19	13	mining	mining	NOUN
gra-79	19	14	approach	approach	NOUN
gra-79	19	15	as	as	ADP
gra-79	19	16	by	by	ADP
gra-79	19	17	which	which	PRON
gra-79	19	18	they	they	PRON
gra-79	19	19	can	can	AUX
gra-79	19	20	build	build	VERB
gra-79	19	21	a	a	DET
gra-79	19	22	record	record	NOUN
gra-79	19	23	of	of	ADP
gra-79	19	24	every	every	DET
gra-79	19	25	customer	customer	NOUN
gra-79	19	26	such	such	ADJ
gra-79	19	27	as	as	ADP
gra-79	19	28	its	its	PRON
gra-79	19	29	purchase	purchase	NOUN
gra-79	19	30	and	and	CCONJ
gra-79	19	31	reviews	review	NOUN
gra-79	19	32	.	.	PUNCT
gra-79	20	1	an	an	DET
gra-79	20	2	essential	essential	ADJ
gra-79	20	3	role	role	NOUN
gra-79	20	4	is	be	AUX
gra-79	20	5	played	play	VERB
gra-79	20	6	by	by	ADP
gra-79	20	7	data	datum	NOUN
gra-79	20	8	mining	mining	NOUN
gra-79	20	9	process	process	NOUN
gra-79	20	10	when	when	SCONJ
gra-79	20	11	it	it	PRON
gra-79	20	12	is	be	AUX
gra-79	20	13	impossible	impossible	ADJ
gra-79	20	14	to	to	PART
gra-79	20	15	enumerate	enumerate	VERB
gra-79	20	16	all	all	DET
gra-79	20	17	application	application	NOUN
gra-79	20	18	.	.	PUNCT
gra-79	21	1	in	in	ADP
gra-79	21	2	the	the	DET
gra-79	21	3	cluster	cluster	NOUN
gra-79	21	4	analysis	analysis	NOUN
gra-79	21	5	,	,	PUNCT
gra-79	21	6	image	image	NOUN
gra-79	21	7	processing	processing	NOUN
gra-79	21	8	,	,	PUNCT
gra-79	21	9	market	market	NOUN
gra-79	21	10	research	research	NOUN
gra-79	21	11	,	,	PUNCT
gra-79	21	12	data	data	VERB
gra-79	21	13	analysis	analysis	NOUN
gra-79	21	14	and	and	CCONJ
gra-79	21	15	pattern	pattern	NOUN
gra-79	21	16	recognition	recognition	NOUN
gra-79	21	17	are	be	AUX
gra-79	21	18	some	some	DET
gra-79	21	19	major	major	ADJ
gra-79	21	20	application	application	NOUN
gra-79	21	21	of	of	ADP
gra-79	21	22	this	this	DET
gra-79	21	23	technique	technique	NOUN
gra-79	21	24	.	.	PUNCT
gra-79	22	1	in	in	ADP
gra-79	22	2	the	the	DET
gra-79	22	3	clustering	clustering	ADJ
gra-79	22	4	technique	technique	NOUN
gra-79	22	5	,	,	PUNCT
gra-79	22	6	customer	customer	NOUN
gra-79	22	7	categorized	categorize	VERB
gra-79	22	8	group	group	NOUN
gra-79	22	9	and	and	CCONJ
gra-79	22	10	purchasing	purchasing	NOUN
gra-79	22	11	patterns	pattern	NOUN
gra-79	22	12	has	have	AUX
gra-79	22	13	been	be	AUX
gra-79	22	14	done	do	VERB
gra-79	22	15	in	in	ADP
gra-79	22	16	order	order	NOUN
gra-79	22	17	to	to	PART
gra-79	22	18	discover	discover	VERB
gra-79	22	19	their	their	PRON
gra-79	22	20	customer	customer	NOUN
gra-79	22	21	's	's	PART
gra-79	22	22	interest	interest	NOUN
gra-79	22	23	by	by	ADP
gra-79	22	24	the	the	DET
gra-79	22	25	marketers	marketer	NOUN
gra-79	22	26	[	[	X
gra-79	22	27	4	4	NUM
gra-79	22	28	]	]	PUNCT
gra-79	22	29	.	.	PUNCT
gra-79	23	1	it	it	PRON
gra-79	23	2	is	be	AUX
gra-79	23	3	also	also	ADV
gra-79	23	4	utilized	utilize	VERB
gra-79	23	5	in	in	ADP
gra-79	23	6	biology	biology	NOUN
gra-79	23	7	as	as	SCONJ
gra-79	23	8	it	it	PRON
gra-79	23	9	derives	derive	VERB
gra-79	23	10	the	the	DET
gra-79	23	11	plant	plant	NOUN
gra-79	23	12	and	and	CCONJ
gra-79	23	13	animal	animal	NOUN
gra-79	23	14	taxonomies	taxonomy	NOUN
gra-79	23	15	and	and	CCONJ
gra-79	23	16	also	also	ADV
gra-79	23	17	categorizes	categorize	VERB
gra-79	23	18	genes	gene	NOUN
gra-79	23	19	with	with	ADP
gra-79	23	20	similar	similar	ADJ
gra-79	23	21	functionality	functionality	NOUN
gra-79	23	22	.	.	PUNCT
gra-79	24	1	in	in	ADP
gra-79	24	2	geology	geology	NOUN
gra-79	24	3	this	this	DET
gra-79	24	4	technique	technique	NOUN
gra-79	24	5	is	be	AUX
gra-79	24	6	used	use	VERB
gra-79	24	7	to	to	PART
gra-79	24	8	identify	identify	VERB
gra-79	24	9	the	the	DET
gra-79	24	10	similar	similar	ADJ
gra-79	24	11	houses	house	NOUN
gra-79	24	12	and	and	CCONJ
gra-79	24	13	lands	land	VERB
gra-79	24	14	areas	area	NOUN
gra-79	24	15	.	.	PUNCT
gra-79	25	1	supervised	supervised	ADJ
gra-79	25	2	and	and	CCONJ
gra-79	25	3	unsupervised	unsupervised	ADJ
gra-79	25	4	learning	learning	NOUN
gra-79	25	5	are	be	AUX
gra-79	25	6	the	the	DET
gra-79	25	7	two	two	NUM
gra-79	25	8	methodologies	methodology	NOUN
gra-79	25	9	utilized	utilize	VERB
gra-79	25	10	by	by	ADP
gra-79	25	11	the	the	DET
gra-79	25	12	data	data	NOUN
gra-79	25	13	mining	mining	NOUN
gra-79	25	14	in	in	ADP
gra-79	25	15	order	order	NOUN
gra-79	25	16	to	to	PART
gra-79	25	17	predict	predict	VERB
gra-79	25	18	the	the	DET
gra-79	25	19	heart	heart	NOUN
gra-79	25	20	diseases	disease	NOUN
gra-79	25	21	[	[	X
gra-79	25	22	5	5	NUM
gra-79	25	23	]	]	PUNCT
gra-79	25	24	.	.	PUNCT
gra-79	26	1	for	for	ADP
gra-79	26	2	learning	learn	VERB
gra-79	26	3	the	the	DET
gra-79	26	4	parameters	parameter	NOUN
gra-79	26	5	of	of	ADP
gra-79	26	6	the	the	DET
gra-79	26	7	model	model	NOUN
gra-79	26	8	,	,	PUNCT
gra-79	26	9	a	a	DET
gra-79	26	10	training	training	NOUN
gra-79	26	11	set	set	NOUN
gra-79	26	12	is	be	AUX
gra-79	26	13	utilized	utilize	VERB
gra-79	26	14	in	in	ADP
gra-79	26	15	supervised	supervised	ADJ
gra-79	26	16	learning	learning	NOUN
gra-79	26	17	while	while	SCONJ
gra-79	26	18	in	in	ADP
gra-79	26	19	case	case	NOUN
gra-79	26	20	of	of	ADP
gra-79	26	21	unsupervised	unsupervised	ADJ
gra-79	26	22	learning	learning	NOUN
gra-79	26	23	no	no	DET
gra-79	26	24	training	training	NOUN
gra-79	26	25	set	set	NOUN
gra-79	26	26	is	be	AUX
gra-79	26	27	utilized	utilize	VERB
gra-79	26	28	,	,	PUNCT
gra-79	26	29	for	for	ADP
gra-79	26	30	example	example	NOUN
gra-79	26	31	k	k	NOUN
gra-79	26	32	-	-	PUNCT
gra-79	26	33	means	mean	VERB
gra-79	26	34	clustering	clustering	NOUN
gra-79	26	35	.	.	PUNCT
gra-79	27	1	classication	classication	NOUN
gra-79	27	2	and	and	CCONJ
gra-79	27	3	prediction	prediction	NOUN
gra-79	27	4	are	be	AUX
gra-79	27	5	the	the	DET
gra-79	27	6	main	main	ADJ
gra-79	27	7	objective	objective	NOUN
gra-79	27	8	of	of	ADP
gra-79	27	9	the	the	DET
gra-79	27	10	data	datum	NOUN
gra-79	27	11	mining	mining	NOUN
gra-79	27	12	.	.	PUNCT
gra-79	28	1	data	datum	NOUN
gra-79	28	2	process	process	NOUN
gra-79	28	3	rate	rate	NOUN
gra-79	28	4	and	and	CCONJ
gra-79	28	5	unordered	unordered	ADJ
gra-79	28	6	values	value	NOUN
gra-79	28	7	or	or	CCONJ
gra-79	28	8	data	datum	NOUN
gra-79	28	9	are	be	AUX
gra-79	28	10	classied	classied	PROPN
gra-79	28	11	by	by	ADP
gra-79	28	12	the	the	DET
gra-79	28	13	classication	classication	NOUN
gra-79	28	14	models	model	NOUN
gra-79	28	15	while	while	SCONJ
gra-79	28	16	continuous	continuous	ADJ
gra-79	28	17	value	value	NOUN
gra-79	28	18	is	be	AUX
gra-79	28	19	predicted	predict	VERB
gra-79	28	20	by	by	ADP
gra-79	28	21	the	the	DET
gra-79	28	22	prediction	prediction	NOUN
gra-79	28	23	models	model	NOUN
gra-79	28	24	.	.	PUNCT
gra-79	29	1	the	the	DET
gra-79	29	2	examples	example	NOUN
gra-79	29	3	of	of	ADP
gra-79	29	4	classication	classication	NOUN
gra-79	29	5	models	model	NOUN
gra-79	29	6	are	be	AUX
gra-79	29	7	the	the	DET
gra-79	29	8	decision	decision	NOUN
gra-79	29	9	trees	tree	NOUN
gra-79	29	10	and	and	CCONJ
gra-79	29	11	neural	neural	ADJ
gra-79	29	12	networks	network	NOUN
gra-79	29	13	and	and	CCONJ
gra-79	29	14	example	example	NOUN
gra-79	29	15	of	of	ADP
gra-79	29	16	prediction	prediction	NOUN
gra-79	29	17	algorithm	algorithm	NOUN
gra-79	29	18	is	be	AUX
gra-79	29	19	regression	regression	NOUN
gra-79	29	20	,	,	PUNCT
gra-79	29	21	association	association	NOUN
gra-79	29	22	rules	rule	NOUN
gra-79	29	23	and	and	CCONJ
gra-79	29	24	clustering	clustering	NOUN
gra-79	29	25	.	.	PUNCT
gra-79	30	1	classication	classication	NOUN
gra-79	30	2	models	model	NOUN
gra-79	30	3	that	that	PRON
gra-79	30	4	can	can	AUX
gra-79	30	5	be	be	AUX
gra-79	30	6	used	use	VERB
gra-79	30	7	in	in	ADP
gra-79	30	8	the	the	DET
gra-79	30	9	data	data	NOUN
gra-79	30	10	mining	mining	NOUN
gra-79	30	11	for	for	ADP
gra-79	30	12	the	the	DET
gra-79	30	13	prediction	prediction	NOUN
gra-79	30	14	of	of	ADP
gra-79	30	15	heart	heart	NOUN
gra-79	30	16	disease	disease	NOUN
gra-79	30	17	are	be	AUX
gra-79	30	18	given	give	VERB
gra-79	30	19	decision	decision	NOUN
gra-79	30	20	trees	tree	NOUN
gra-79	30	21	,	,	PUNCT
gra-79	30	22	neural	neural	ADJ
gra-79	30	23	networks	network	NOUN
gra-79	30	24	,	,	PUNCT
gra-79	30	25	and	and	CCONJ
gra-79	30	26	naive	naive	ADJ
gra-79	30	27	bayes	bayes	NOUN
gra-79	30	28	classier	classier	PROPN
gra-79	30	29	.	.	PUNCT
gra-79	31	1	in	in	ADP
gra-79	31	2	the	the	DET
gra-79	31	3	classication	classication	NOUN
gra-79	31	4	of	of	ADP
gra-79	31	5	data	datum	NOUN
gra-79	31	6	mining	mining	NOUN
gra-79	31	7	,	,	PUNCT
gra-79	31	8	the	the	DET
gra-79	31	9	decision	decision	NOUN
gra-79	31	10	tree	tree	NOUN
gra-79	31	11	approach	approach	NOUN
gra-79	31	12	is	be	AUX
gra-79	31	13	considered	consider	VERB
gra-79	31	14	as	as	ADP
gra-79	31	15	the	the	DET
gra-79	31	16	most	most	ADV
gra-79	31	17	powerful	powerful	ADJ
gra-79	31	18	technique	technique	NOUN
gra-79	31	19	[	[	X
gra-79	31	20	6	6	NUM
gra-79	31	21	]	]	PUNCT
gra-79	31	22	.	.	PUNCT
gra-79	32	1	in	in	ADP
gra-79	32	2	this	this	DET
gra-79	32	3	method	method	NOUN
gra-79	32	4	all	all	DET
gra-79	32	5	the	the	DET
gra-79	32	6	models	model	NOUN
gra-79	32	7	build	build	VERB
gra-79	32	8	in	in	ADP
gra-79	32	9	the	the	DET
gra-79	32	10	form	form	NOUN
gra-79	32	11	of	of	ADP
gra-79	32	12	tree	tree	NOUN
gra-79	32	13	structure	structure	NOUN
gra-79	32	14	.	.	PUNCT
gra-79	33	1	datasets	dataset	NOUN
gra-79	33	2	are	be	AUX
gra-79	33	3	breaks	break	NOUN
gra-79	33	4	into	into	ADP
gra-79	33	5	small	small	ADJ
gra-79	33	6	sets	set	NOUN
gra-79	33	7	and	and	CCONJ
gra-79	33	8	help	help	VERB
gra-79	33	9	in	in	ADP
gra-79	33	10	the	the	DET
gra-79	33	11	formulation	formulation	NOUN
gra-79	33	12	of	of	ADP
gra-79	33	13	an	an	DET
gra-79	33	14	associated	associated	ADJ
gra-79	33	15	decision	decision	NOUN
gra-79	33	16	tree	tree	NOUN
gra-79	33	17	.	.	PUNCT
gra-79	34	1	in	in	ADP
gra-79	34	2	the	the	DET
gra-79	34	3	neural	neural	ADJ
gra-79	34	4	network	network	NOUN
gra-79	34	5	large	large	ADJ
gra-79	34	6	number	number	NOUN
gra-79	34	7	of	of	ADP
gra-79	34	8	elements	element	NOUN
gra-79	34	9	is	be	AUX
gra-79	34	10	organized	organize	VERB
gra-79	34	11	in	in	ADP
gra-79	34	12	different	different	ADJ
gra-79	34	13	number	number	NOUN
gra-79	34	14	of	of	ADP
gra-79	34	15	layers	layer	NOUN
gra-79	34	16	that	that	PRON
gra-79	34	17	are	be	AUX
gra-79	34	18	interconnected	interconnect	VERB
gra-79	34	19	to	to	ADP
gra-79	34	20	each	each	DET
gra-79	34	21	other	other	ADJ
gra-79	34	22	.	.	PUNCT
gra-79	35	1	through	through	ADP
gra-79	35	2	this	this	DET
gra-79	35	3	approach	approach	NOUN
gra-79	35	4	,	,	PUNCT
gra-79	35	5	the	the	DET
gra-79	35	6	adaptive	adaptive	ADJ
gra-79	35	7	non	non	ADJ
gra-79	35	8	-	-	ADJ
gra-79	35	9	linear	linear	ADJ
gra-79	35	10	data	datum	NOUN
gra-79	35	11	processing	processing	NOUN
gra-79	35	12	algorithms	algorithm	NOUN
gra-79	35	13	are	be	AUX
gra-79	35	14	applied	apply	VERB
gra-79	35	15	that	that	SCONJ
gra-79	35	16	help	help	NOUN
gra-79	35	17	in	in	ADP
gra-79	35	18	integrating	integrate	VERB
gra-79	35	19	all	all	DET
gra-79	35	20	the	the	DET
gra-79	35	21	multi	multi	ADJ
gra-79	35	22	-	-	ADJ
gra-79	35	23	processing	processing	ADJ
gra-79	35	24	units	unit	NOUN
gra-79	35	25	.	.	PUNCT
gra-79	36	1	on	on	ADP
gra-79	36	2	the	the	DET
gra-79	36	3	basis	basis	NOUN
gra-79	36	4	of	of	ADP
gra-79	36	5	the	the	DET
gra-79	36	6	naturally	naturally	ADV
gra-79	36	7	adapting	adapting	NOUN
gra-79	36	8	,	,	PUNCT
gra-79	36	9	self	self	NOUN
gra-79	36	10	-organizing	-organizing	NOUN
gra-79	36	11	,	,	PUNCT
gra-79	36	12	characterization	characterization	NOUN
gra-79	36	13	of	of	ADP
gra-79	36	14	these	these	DET
gra-79	36	15	networks	network	NOUN
gra-79	36	16	is	be	AUX
gra-79	36	17	done	do	VERB
gra-79	36	18	[	[	PUNCT
gra-79	36	19	7	7	NUM
gra-79	36	20	]	]	PUNCT
gra-79	36	21	.	.	PUNCT
gra-79	37	1	the	the	DET
gra-79	37	2	simple	simple	ADJ
gra-79	37	3	probabilistic	probabilistic	ADJ
gra-79	37	4	classier	classier	PROPN
gra-79	37	5	that	that	PRON
gra-79	37	6	depends	depend	VERB
gra-79	37	7	on	on	ADP
gra-79	37	8	bayes	bayes	NOUN
gra-79	37	9	theorem	theorem	VERB
gra-79	37	10	is	be	AUX
gra-79	37	11	known	know	VERB
gra-79	37	12	as	as	ADP
gra-79	37	13	naive	naive	ADJ
gra-79	37	14	bayes	bayes	NOUN
gra-79	37	15	classier	classier	PROPN
gra-79	37	16	which	which	PRON
gra-79	37	17	strong	strong	ADJ
gra-79	37	18	independence	independence	NOUN
gra-79	37	19	naïve	naïve	ADJ
gra-79	37	20	assumption	assumption	NOUN
gra-79	37	21	.	.	PUNCT
gra-79	38	1	this	this	DET
gra-79	38	2	algorithm	algorithm	NOUN
gra-79	38	3	is	be	AUX
gra-79	38	4	also	also	ADV
gra-79	38	5	known	know	VERB
gra-79	38	6	as	as	ADP
gra-79	38	7	the	the	DET
gra-79	38	8	independent	independent	ADJ
gra-79	38	9	feature	feature	NOUN
gra-79	38	10	model	model	NOUN
gra-79	38	11	.	.	PUNCT
gra-79	39	1	naive	naive	ADJ
gra-79	39	2	bayes	bayes	PROPN
gra-79	39	3	classier	classier	PROPN
gra-79	39	4	based	base	VERB
gra-79	39	5	on	on	ADP
gra-79	39	6	the	the	DET
gra-79	39	7	assumption	assumption	NOUN
gra-79	39	8	that	that	SCONJ
gra-79	39	9	features	feature	VERB
gra-79	39	10	of	of	ADP
gra-79	39	11	a	a	DET
gra-79	39	12	particular	particular	ADJ
gra-79	39	13	class	class	NOUN
gra-79	39	14	present	present	NOUN
gra-79	39	15	is	be	AUX
gra-79	39	16	unrelated	unrelated	ADJ
gra-79	39	17	to	to	ADP
gra-79	39	18	the	the	DET
gra-79	39	19	present	present	ADJ
gra-79	39	20	feature	feature	NOUN
gra-79	39	21	of	of	ADP
gra-79	39	22	any	any	DET
gra-79	39	23	other	other	ADJ
gra-79	39	24	class	class	NOUN
gra-79	39	25	.	.	PUNCT
gra-79	40	1	naive	naive	ADJ
gra-79	40	2	bayes	bayes	NOUN
gra-79	40	3	classiers	classier	NOUN
gra-79	40	4	are	be	AUX
gra-79	40	5	trained	train	VERB
gra-79	40	6	to	to	PART
gra-79	40	7	work	work	VERB
gra-79	40	8	in	in	ADP
gra-79	40	9	supervised	supervised	ADJ
gra-79	40	10	learning	learn	VERB
gra-79	40	11	literature	literature	PROPN
gra-79	40	12	review	review	PROPN
gra-79	40	13	bayuadhi	bayuadhi	NOUN
gra-79	40	14	tama	tama	NOUN
gra-79	40	15	,	,	PUNCT
gra-79	40	16	et.al	et.al	PROPN
gra-79	40	17	(	(	PUNCT
gra-79	40	18	2016	2016	NUM
gra-79	40	19	)	)	PUNCT
gra-79	40	20	presented	present	VERB
gra-79	40	21	in	in	ADP
gra-79	40	22	this	this	DET
gra-79	40	23	paper	paper	NOUN
gra-79	40	24	a	a	DET
gra-79	40	25	chronic	chronic	ADJ
gra-79	40	26	disease	disease	NOUN
gra-79	40	27	that	that	PRON
gra-79	40	28	causes	cause	VERB
gra-79	40	29	major	major	ADJ
gra-79	40	30	causalities	causality	NOUN
gra-79	40	31	in	in	ADP
gra-79	40	32	the	the	DET
gra-79	40	33	worldwide	worldwide	NOUN
gra-79	40	34	that	that	PRON
gra-79	40	35	is	be	AUX
gra-79	40	36	diabetes	diabete	NOUN
gra-79	40	37	.	.	PUNCT
gra-79	41	1	as	as	ADP
gra-79	41	2	per	per	ADP
gra-79	41	3	international	international	ADJ
gra-79	41	4	diabetes	diabetes	NOUN
gra-79	41	5	federation	federation	PROPN
gra-79	41	6	(	(	PUNCT
gra-79	41	7	idf	idf	PROPN
gra-79	41	8	)	)	PUNCT
gra-79	41	9	around	around	ADP
gra-79	41	10	the	the	DET
gra-79	41	11	world	world	NOUN
gra-79	41	12	estimated	estimate	VERB
gra-79	41	13	285	285	NUM
gra-79	41	14	million	million	NUM
gra-79	41	15	people	people	NOUN
gra-79	41	16	are	be	AUX
gra-79	41	17	suffering	suffer	VERB
gra-79	41	18	from	from	ADP
gra-79	41	19	diabetes	diabetes	NOUN
gra-79	41	20	[	[	X
gra-79	41	21	8	8	NUM
gra-79	41	22	]	]	PUNCT
gra-79	41	23	.	.	PUNCT
gra-79	42	1	this	this	DET
gra-79	42	2	range	range	NOUN
gra-79	42	3	and	and	CCONJ
gra-79	42	4	data	datum	NOUN
gra-79	42	5	will	will	AUX
gra-79	42	6	increase	increase	VERB
gra-79	42	7	in	in	ADP
gra-79	42	8	nearby	nearby	ADJ
gra-79	42	9	future	future	NOUN
gra-79	42	10	as	as	SCONJ
gra-79	42	11	there	there	PRON
gra-79	42	12	is	be	VERB
gra-79	42	13	no	no	DET
gra-79	42	14	appropriate	appropriate	ADJ
gra-79	42	15	method	method	NOUN
gra-79	42	16	till	till	SCONJ
gra-79	42	17	date	date	NOUN
gra-79	42	18	that	that	PRON
gra-79	42	19	minimize	minimize	VERB
gra-79	42	20	the	the	DET
gra-79	42	21	effects	effect	NOUN
gra-79	42	22	and	and	CCONJ
gra-79	42	23	prevent	prevent	VERB
gra-79	42	24	it	it	PRON
gra-79	42	25	completely	completely	ADV
gra-79	42	26	.	.	PUNCT
gra-79	43	1	type	type	NOUN
gra-79	43	2	2	2	NUM
gra-79	43	3	diabetes	diabetes	NOUN
gra-79	43	4	(	(	PUNCT
gra-79	43	5	ttd	ttd	NOUN
gra-79	43	6	)	)	PUNCT
gra-79	43	7	is	be	AUX
gra-79	43	8	the	the	DET
gra-79	43	9	most	most	ADV
gra-79	43	10	common	common	ADJ
gra-79	43	11	type	type	NOUN
gra-79	43	12	of	of	ADP
gra-79	43	13	diabetes	diabetes	NOUN
gra-79	43	14	.	.	PUNCT
gra-79	44	1	the	the	DET
gra-79	44	2	major	major	ADJ
gra-79	44	3	issue	issue	NOUN
gra-79	44	4	was	be	AUX
gra-79	44	5	the	the	DET
gra-79	44	6	back	back	ADJ
gra-79	44	7	propagation	propagation	NOUN
gra-79	44	8	with	with	ADP
gra-79	44	9	svm	svm	ADJ
gra-79	44	10	classifier	classifier	NOUN
gra-79	44	11	for	for	ADP
gra-79	44	12	the	the	DET
gra-79	44	13	heart	heart	NOUN
gra-79	44	14	disease	disease	NOUN
gra-79	44	15	prediction	prediction	NOUN
gra-79	44	16	original	original	ADJ
gra-79	44	17	research	research	NOUN
gra-79	44	18	paper	paper	NOUN
gra-79	44	19	himani	himani	PROPN
gra-79	44	20	rani	rani	PROPN
gra-79	44	21	research	research	PROPN
gra-79	44	22	scholar	scholar	NOUN
gra-79	44	23	punjabi	punjabi	PROPN
gra-79	44	24	university	university	PROPN
gra-79	44	25	,	,	PUNCT
gra-79	44	26	patiala	patiala	NOUN
gra-79	44	27	,	,	PUNCT
gra-79	44	28	punjab	punjab	PROPN
gra-79	44	29	,	,	PUNCT
gra-79	44	30	india	india	PROPN
gra-79	44	31	x	x	PROPN
gra-79	45	1	113gjra	113gjra	PROPN
gra-79	45	2	global	global	ADJ
gra-79	45	3	journal	journal	NOUN
gra-79	45	4	for	for	ADP
gra-79	45	5	research	research	NOUN
gra-79	45	6	analysis	analysis	NOUN
gra-79	45	7	computer	computer	NOUN
gra-79	45	8	engineering	engineer	VERB
gra-79	45	9	the	the	DET
gra-79	45	10	data	data	NOUN
gra-79	45	11	mining	mining	NOUN
gra-79	45	12	is	be	AUX
gra-79	45	13	the	the	DET
gra-79	45	14	technique	technique	NOUN
gra-79	45	15	to	to	PART
gra-79	45	16	analyze	analyze	VERB
gra-79	45	17	the	the	DET
gra-79	45	18	complex	complex	ADJ
gra-79	45	19	data	datum	NOUN
gra-79	45	20	.	.	PUNCT
gra-79	46	1	the	the	DET
gra-79	46	2	prediction	prediction	NOUN
gra-79	46	3	analysis	analysis	NOUN
gra-79	46	4	is	be	AUX
gra-79	46	5	the	the	DET
gra-79	46	6	technique	technique	NOUN
gra-79	46	7	which	which	PRON
gra-79	46	8	is	be	AUX
gra-79	46	9	applied	apply	VERB
gra-79	46	10	to	to	PART
gra-79	46	11	predict	predict	VERB
gra-79	46	12	the	the	DET
gra-79	46	13	data	datum	NOUN
gra-79	46	14	according	accord	VERB
gra-79	46	15	to	to	ADP
gra-79	46	16	the	the	DET
gra-79	46	17	input	input	NOUN
gra-79	46	18	dataset	dataset	NOUN
gra-79	46	19	.	.	PUNCT
gra-79	47	1	in	in	ADP
gra-79	47	2	the	the	DET
gra-79	47	3	recent	recent	ADJ
gra-79	47	4	times	time	NOUN
gra-79	47	5	,	,	PUNCT
gra-79	47	6	various	various	ADJ
gra-79	47	7	techniques	technique	NOUN
gra-79	47	8	have	have	AUX
gra-79	47	9	been	be	AUX
gra-79	47	10	applied	apply	VERB
gra-79	47	11	for	for	ADP
gra-79	47	12	the	the	DET
gra-79	47	13	prediction	prediction	NOUN
gra-79	47	14	analysis	analysis	NOUN
gra-79	47	15	.	.	PUNCT
gra-79	48	1	in	in	ADP
gra-79	48	2	this	this	DET
gra-79	48	3	work	work	NOUN
gra-79	48	4	,	,	PUNCT
gra-79	48	5	the	the	DET
gra-79	48	6	k	k	NOUN
gra-79	48	7	-	-	PUNCT
gra-79	48	8	means	mean	VERB
gra-79	48	9	clustering	cluster	VERB
gra-79	48	10	algorithm	algorithm	NOUN
gra-79	48	11	and	and	CCONJ
gra-79	48	12	svm	svm	PROPN
gra-79	48	13	(	(	PUNCT
gra-79	48	14	support	support	NOUN
gra-79	48	15	vector	vector	NOUN
gra-79	48	16	machine	machine	NOUN
gra-79	48	17	)	)	PUNCT
gra-79	48	18	classier	classier	PROPN
gra-79	48	19	based	base	VERB
gra-79	48	20	prediction	prediction	NOUN
gra-79	48	21	analysis	analysis	NOUN
gra-79	48	22	technique	technique	NOUN
gra-79	48	23	is	be	AUX
gra-79	48	24	used	use	VERB
gra-79	48	25	for	for	ADP
gra-79	48	26	clustering	clustering	NOUN
gra-79	48	27	and	and	CCONJ
gra-79	48	28	classication	classication	NOUN
gra-79	48	29	of	of	ADP
gra-79	48	30	the	the	DET
gra-79	48	31	input	input	NOUN
gra-79	48	32	data	datum	NOUN
gra-79	48	33	.	.	PUNCT
gra-79	49	1	in	in	ADP
gra-79	49	2	order	order	NOUN
gra-79	49	3	to	to	PART
gra-79	49	4	increase	increase	VERB
gra-79	49	5	the	the	DET
gra-79	49	6	accuracy	accuracy	NOUN
gra-79	49	7	of	of	ADP
gra-79	49	8	prediction	prediction	NOUN
gra-79	49	9	analysis	analysis	NOUN
gra-79	49	10	,	,	PUNCT
gra-79	49	11	the	the	DET
gra-79	49	12	back	back	ADJ
gra-79	49	13	propagation	propagation	NOUN
gra-79	49	14	algorithm	algorithm	NOUN
gra-79	49	15	is	be	AUX
gra-79	49	16	proposed	propose	VERB
gra-79	49	17	to	to	PART
gra-79	49	18	be	be	AUX
gra-79	49	19	applied	apply	VERB
gra-79	49	20	with	with	ADP
gra-79	49	21	the	the	DET
gra-79	49	22	k	k	NOUN
gra-79	49	23	-	-	PUNCT
gra-79	49	24	means	mean	VERB
gra-79	49	25	clustering	cluster	VERB
gra-79	49	26	algorithm	algorithm	NOUN
gra-79	49	27	to	to	PART
gra-79	49	28	cluster	cluster	VERB
gra-79	49	29	the	the	DET
gra-79	49	30	data	datum	NOUN
gra-79	49	31	.	.	PUNCT
gra-79	50	1	the	the	DET
gra-79	50	2	proposed	propose	VERB
gra-79	50	3	algorithm	algorithm	NOUN
gra-79	50	4	performance	performance	NOUN
gra-79	50	5	is	be	AUX
gra-79	50	6	tested	test	VERB
gra-79	50	7	in	in	ADP
gra-79	50	8	the	the	DET
gra-79	50	9	heart	heart	NOUN
gra-79	50	10	disease	disease	NOUN
gra-79	50	11	dataset	dataset	VERB
gra-79	51	1	which	which	PRON
gra-79	51	2	is	be	AUX
gra-79	51	3	taken	take	VERB
gra-79	51	4	from	from	ADP
gra-79	51	5	uci	uci	PROPN
gra-79	51	6	repository	repository	NOUN
gra-79	51	7	.	.	PUNCT
gra-79	52	1	there	there	PRON
gra-79	52	2	are	be	VERB
gra-79	52	3	76	76	NUM
gra-79	52	4	attributes	attribute	NOUN
gra-79	52	5	present	present	ADJ
gra-79	52	6	within	within	ADP
gra-79	52	7	a	a	DET
gra-79	52	8	database	database	NOUN
gra-79	52	9	.	.	PUNCT
gra-79	53	1	however	however	ADV
gra-79	53	2	,	,	PUNCT
gra-79	53	3	a	a	DET
gra-79	53	4	subset	subset	NOUN
gra-79	53	5	of	of	ADP
gra-79	53	6	14	14	NUM
gra-79	53	7	amongst	amongst	ADP
gra-79	53	8	them	they	PRON
gra-79	53	9	is	be	AUX
gra-79	53	10	required	require	VERB
gra-79	53	11	within	within	ADP
gra-79	53	12	all	all	DET
gra-79	53	13	the	the	DET
gra-79	53	14	published	publish	VERB
gra-79	53	15	experiments	experiment	NOUN
gra-79	53	16	.	.	PUNCT
gra-79	54	1	specically	specically	ADV
gra-79	54	2	,	,	PUNCT
gra-79	54	3	machine	machine	NOUN
gra-79	54	4	learning	learn	VERB
gra-79	54	5	researchers	researcher	NOUN
gra-79	54	6	have	have	AUX
gra-79	54	7	used	use	VERB
gra-79	54	8	cleveland	cleveland	PROPN
gra-79	54	9	database	database	NOUN
gra-79	54	10	particularly	particularly	ADV
gra-79	54	11	at	at	ADP
gra-79	54	12	all	all	DET
gra-79	54	13	times	time	NOUN
gra-79	54	14	.	.	PUNCT
gra-79	55	1	the	the	DET
gra-79	55	2	proposed	propose	VERB
gra-79	55	3	work	work	NOUN
gra-79	55	4	will	will	AUX
gra-79	55	5	also	also	ADV
gra-79	55	6	be	be	AUX
gra-79	55	7	compared	compare	VERB
gra-79	55	8	with	with	ADP
gra-79	55	9	the	the	DET
gra-79	55	10	existing	exist	VERB
gra-79	55	11	scheme	scheme	NOUN
gra-79	55	12	(	(	PUNCT
gra-79	55	13	using	use	VERB
gra-79	55	14	arithmetic	arithmetic	ADJ
gra-79	55	15	mean	mean	NOUN
gra-79	55	16	)	)	PUNCT
gra-79	55	17	in	in	ADP
gra-79	55	18	terms	term	NOUN
gra-79	55	19	of	of	ADP
gra-79	55	20	accuracy	accuracy	NOUN
gra-79	55	21	,	,	PUNCT
gra-79	55	22	fault	fault	VERB
gra-79	55	23	detection	detection	NOUN
gra-79	55	24	rate	rate	NOUN
gra-79	55	25	and	and	CCONJ
gra-79	55	26	execution	execution	NOUN
gra-79	55	27	time	time	NOUN
gra-79	55	28	.	.	PUNCT
gra-79	56	1	abstract	abstract	ADJ
gra-79	56	2	keywords	keyword	NOUN
gra-79	56	3	:	:	PUNCT
gra-79	56	4	svm	svm	ADJ
gra-79	56	5	,	,	PUNCT
gra-79	56	6	back	back	ADJ
gra-79	56	7	propagation	propagation	NOUN
gra-79	56	8	,	,	PUNCT
gra-79	56	9	prediction	prediction	NOUN
gra-79	56	10	dr	dr	PROPN
gra-79	56	11	.	.	PROPN
gra-79	56	12	gaurav	gaurav	PROPN
gra-79	56	13	gupta	gupta	PROPN
gra-79	56	14	assistant	assistant	PROPN
gra-79	56	15	professor	professor	PROPN
gra-79	56	16	punjabi	punjabi	PROPN
gra-79	56	17	university	university	PROPN
gra-79	56	18	,	,	PUNCT
gra-79	56	19	patiala	patiala	NOUN
gra-79	56	20	,	,	PUNCT
gra-79	56	21	punjab	punjab	PROPN
gra-79	56	22	,	,	PUNCT
gra-79	56	23	india	india	PROPN
gra-79	56	24	volume-8	volume-8	NUM
gra-79	56	25	,	,	PUNCT
gra-79	56	26	issue-9	issue-9	NUM
gra-79	56	27	,	,	PUNCT
gra-79	56	28	september-2019	september-2019	ADJ
gra-79	56	29	•	•	NUM
gra-79	56	30	print	print	NOUN
gra-79	56	31	issn	issn	PROPN
gra-79	56	32	no	no	NOUN
gra-79	56	33	.	.	PROPN
gra-79	56	34	2277	2277	NUM
gra-79	56	35	8160	8160	NUM
gra-79	56	36	•	•	NOUN
gra-79	56	37	doi	doi	NOUN
gra-79	56	38	:	:	PUNCT
gra-79	56	39	10.36106	10.36106	NUM
gra-79	56	40	/	/	SYM
gra-79	56	41	gjra	gjra	NOUN
gra-79	56	42	114	114	NUM
gra-79	56	43	x	x	NOUN
gra-79	56	44	gjra	gjra	ADJ
gra-79	56	45	global	global	ADJ
gra-79	56	46	journal	journal	PROPN
gra-79	56	47	for	for	ADP
gra-79	56	48	research	research	NOUN
gra-79	56	49	analysis	analysis	NOUN
gra-79	56	50	detection	detection	NOUN
gra-79	56	51	of	of	ADP
gra-79	56	52	ttd	ttd	NOUN
gra-79	56	53	as	as	SCONJ
gra-79	56	54	it	it	PRON
gra-79	56	55	was	be	AUX
gra-79	56	56	not	not	PART
gra-79	56	57	easy	easy	ADJ
gra-79	56	58	to	to	PART
gra-79	56	59	predict	predict	VERB
gra-79	56	60	all	all	DET
gra-79	56	61	the	the	DET
gra-79	56	62	effects	effect	NOUN
gra-79	56	63	.	.	PUNCT
gra-79	57	1	therefore	therefore	ADV
gra-79	57	2	,	,	PUNCT
gra-79	57	3	data	datum	NOUN
gra-79	57	4	mining	mining	NOUN
gra-79	57	5	was	be	AUX
gra-79	57	6	used	use	VERB
gra-79	57	7	as	as	SCONJ
gra-79	57	8	it	it	PRON
gra-79	57	9	provides	provide	VERB
gra-79	57	10	the	the	DET
gra-79	57	11	optimal	optimal	ADJ
gra-79	57	12	results	result	NOUN
gra-79	57	13	and	and	CCONJ
gra-79	57	14	help	help	VERB
gra-79	57	15	in	in	ADP
gra-79	57	16	knowledge	knowledge	NOUN
gra-79	57	17	discovery	discovery	NOUN
gra-79	57	18	from	from	ADP
gra-79	57	19	data	data	PROPN
gra-79	57	20	.	.	PUNCT
gra-79	58	1	in	in	ADP
gra-79	58	2	the	the	DET
gra-79	58	3	data	data	NOUN
gra-79	58	4	mining	mining	NOUN
gra-79	58	5	process	process	NOUN
gra-79	58	6	,	,	PUNCT
gra-79	58	7	support	support	NOUN
gra-79	58	8	vector	vector	NOUN
gra-79	58	9	machine	machine	NOUN
gra-79	58	10	(	(	PUNCT
gra-79	58	11	svm	svm	PROPN
gra-79	58	12	)	)	PUNCT
gra-79	58	13	was	be	AUX
gra-79	58	14	utilized	utilize	VERB
gra-79	58	15	that	that	PRON
gra-79	58	16	acquire	acquire	VERB
gra-79	58	17	all	all	DET
gra-79	58	18	the	the	DET
gra-79	58	19	information	information	NOUN
gra-79	58	20	extract	extract	VERB
gra-79	58	21	all	all	DET
gra-79	58	22	the	the	DET
gra-79	58	23	data	datum	NOUN
gra-79	58	24	of	of	ADP
gra-79	58	25	patients	patient	NOUN
gra-79	58	26	from	from	ADP
gra-79	58	27	previous	previous	ADJ
gra-79	58	28	records	record	NOUN
gra-79	58	29	.	.	PUNCT
gra-79	59	1	the	the	DET
gra-79	59	2	early	early	ADJ
gra-79	59	3	detection	detection	NOUN
gra-79	59	4	of	of	ADP
gra-79	59	5	ttd	ttd	NOUN
gra-79	59	6	provides	provide	VERB
gra-79	59	7	the	the	DET
gra-79	59	8	support	support	NOUN
gra-79	59	9	to	to	PART
gra-79	59	10	take	take	VERB
gra-79	59	11	effective	effective	ADJ
gra-79	59	12	decision	decision	NOUN
gra-79	59	13	.	.	PUNCT
gra-79	60	1	yu	yu	PROPN
gra-79	60	2	-	-	PROPN
gra-79	60	3	xuan	xuan	PROPN
gra-79	60	4	wang	wang	PROPN
gra-79	60	5	,	,	PUNCT
gra-79	60	6	et.al	et.al	PROPN
gra-79	60	7	,	,	PUNCT
gra-79	60	8	(	(	PUNCT
gra-79	60	9	2017	2017	NUM
gra-79	60	10	)	)	PUNCT
gra-79	60	11	analyzed	analyze	VERB
gra-79	60	12	various	various	ADJ
gra-79	60	13	applications	application	NOUN
gra-79	60	14	that	that	PRON
gra-79	60	15	provide	provide	VERB
gra-79	60	16	signicance	signicance	NOUN
gra-79	60	17	of	of	ADP
gra-79	60	18	the	the	DET
gra-79	60	19	data	data	NOUN
gra-79	60	20	mining	mining	NOUN
gra-79	60	21	and	and	CCONJ
gra-79	60	22	machine	machine	NOUN
gra-79	60	23	learning	learning	NOUN
gra-79	60	24	in	in	ADP
gra-79	60	25	different	different	ADJ
gra-79	60	26	elds	eld	NOUN
gra-79	60	27	[	[	X
gra-79	60	28	9	9	NUM
gra-79	60	29	]	]	PUNCT
gra-79	60	30	.	.	PUNCT
gra-79	61	1	research	research	NOUN
gra-79	61	2	on	on	ADP
gra-79	61	3	the	the	DET
gra-79	61	4	management	management	NOUN
gra-79	61	5	de	de	NOUN
gra-79	61	6	-	-	NOUN
gra-79	61	7	signs	sign	NOUN
gra-79	61	8	of	of	ADP
gra-79	61	9	different	different	ADJ
gra-79	61	10	components	component	NOUN
gra-79	61	11	of	of	ADP
gra-79	61	12	the	the	DET
gra-79	61	13	system	system	NOUN
gra-79	61	14	is	be	AUX
gra-79	61	15	proposed	propose	VERB
gra-79	61	16	as	as	ADP
gra-79	61	17	most	most	ADJ
gra-79	61	18	of	of	ADP
gra-79	61	19	the	the	DET
gra-79	61	20	work	work	NOUN
gra-79	61	21	is	be	AUX
gra-79	61	22	done	do	VERB
gra-79	61	23	on	on	ADP
gra-79	61	24	the	the	DET
gra-79	61	25	characteristics	characteristic	NOUN
gra-79	61	26	of	of	ADP
gra-79	61	27	the	the	DET
gra-79	61	28	system	system	NOUN
gra-79	61	29	that	that	PRON
gra-79	61	30	varies	vary	VERB
gra-79	61	31	from	from	ADP
gra-79	61	32	time	time	NOUN
gra-79	61	33	to	to	ADP
gra-79	61	34	time	time	NOUN
gra-79	61	35	.	.	PUNCT
gra-79	62	1	the	the	DET
gra-79	62	2	performance	performance	NOUN
gra-79	62	3	of	of	ADP
gra-79	62	4	the	the	DET
gra-79	62	5	system	system	NOUN
gra-79	62	6	with	with	ADP
gra-79	62	7	static	static	ADJ
gra-79	62	8	or	or	CCONJ
gra-79	62	9	statically	statically	ADV
gra-79	62	10	adaptive	adaptive	ADJ
gra-79	62	11	is	be	AUX
gra-79	62	12	optimized	optimize	VERB
gra-79	62	13	with	with	ADP
gra-79	62	14	the	the	DET
gra-79	62	15	help	help	NOUN
gra-79	62	16	of	of	ADP
gra-79	62	17	proposed	propose	VERB
gra-79	62	18	method	method	NOUN
gra-79	62	19	in	in	ADP
gra-79	62	20	order	order	NOUN
gra-79	62	21	to	to	PART
gra-79	62	22	design	design	VERB
gra-79	62	23	system	system	NOUN
gra-79	62	24	.	.	PUNCT
gra-79	63	1	author	author	NOUN
gra-79	63	2	in	in	ADP
gra-79	63	3	this	this	DET
gra-79	63	4	paper	paper	NOUN
gra-79	63	5	proposed	propose	VERB
gra-79	63	6	a	a	DET
gra-79	63	7	method	method	NOUN
gra-79	63	8	to	to	PART
gra-79	63	9	design	design	VERB
gra-79	63	10	operating	operating	NOUN
gra-79	63	11	system	system	NOUN
gra-79	63	12	that	that	PRON
gra-79	63	13	use	use	VERB
gra-79	63	14	the	the	DET
gra-79	63	15	support	support	NOUN
gra-79	63	16	of	of	ADP
gra-79	63	17	data	datum	NOUN
gra-79	63	18	mining	mining	NOUN
gra-79	63	19	and	and	CCONJ
gra-79	63	20	machine	machine	NOUN
gra-79	63	21	learning	learning	NOUN
gra-79	63	22	.	.	PUNCT
gra-79	64	1	all	all	DET
gra-79	64	2	the	the	DET
gra-79	64	3	collected	collect	VERB
gra-79	64	4	data	datum	NOUN
gra-79	64	5	from	from	ADP
gra-79	64	6	the	the	DET
gra-79	64	7	system	system	NOUN
gra-79	64	8	was	be	AUX
gra-79	64	9	analyzed	analyze	VERB
gra-79	64	10	when	when	SCONJ
gra-79	64	11	reply	reply	NOUN
gra-79	64	12	is	be	AUX
gra-79	64	13	obtained	obtain	VERB
gra-79	64	14	from	from	ADP
gra-79	64	15	a	a	DET
gra-79	64	16	data	data	NOUN
gra-79	64	17	miner	miner	NOUN
gra-79	64	18	.	.	PUNCT
gra-79	65	1	as	as	ADP
gra-79	65	2	per	per	ADP
gra-79	65	3	performed	perform	VERB
gra-79	65	4	experiments	experiment	NOUN
gra-79	65	5	,	,	PUNCT
gra-79	65	6	it	it	PRON
gra-79	65	7	is	be	AUX
gra-79	65	8	concluded	conclude	VERB
gra-79	65	9	that	that	SCONJ
gra-79	65	10	proposed	propose	VERB
gra-79	65	11	method	method	NOUN
gra-79	65	12	provides	provide	VERB
gra-79	65	13	effective	effective	ADJ
gra-79	65	14	results	result	NOUN
gra-79	65	15	.	.	PUNCT
gra-79	66	1	zhiqiangge	zhiqiangge	NOUN
gra-79	66	2	,	,	PUNCT
gra-79	66	3	et.al	et.al	PROPN
gra-79	66	4	,	,	PUNCT
gra-79	66	5	(	(	PUNCT
gra-79	66	6	2017	2017	NUM
gra-79	66	7	)	)	PUNCT
gra-79	66	8	presented	present	VERB
gra-79	66	9	a	a	DET
gra-79	66	10	review	review	NOUN
gra-79	66	11	on	on	ADP
gra-79	66	12	existing	exist	VERB
gra-79	66	13	data	datum	NOUN
gra-79	66	14	mining	mining	NOUN
gra-79	66	15	and	and	CCONJ
gra-79	66	16	analytics	analytic	NOUN
gra-79	66	17	applications	application	NOUN
gra-79	66	18	by	by	ADP
gra-79	66	19	the	the	DET
gra-79	66	20	author	author	NOUN
gra-79	66	21	which	which	PRON
gra-79	66	22	is	be	AUX
gra-79	66	23	used	use	VERB
gra-79	66	24	in	in	ADP
gra-79	66	25	industry	industry	NOUN
gra-79	66	26	for	for	ADP
gra-79	66	27	various	various	ADJ
gra-79	66	28	applications	application	NOUN
gra-79	66	29	.	.	PUNCT
gra-79	67	1	for	for	ADP
gra-79	67	2	the	the	DET
gra-79	67	3	data	data	NOUN
gra-79	67	4	mining	mining	NOUN
gra-79	67	5	and	and	CCONJ
gra-79	67	6	analytics	analytic	NOUN
gra-79	67	7	eight	eight	NUM
gra-79	67	8	unsupervised	unsupervised	ADJ
gra-79	67	9	and	and	CCONJ
gra-79	67	10	ten	ten	NUM
gra-79	67	11	supervised	supervised	ADJ
gra-79	67	12	learning	learning	NOUN
gra-79	67	13	algorithms	algorithm	NOUN
gra-79	67	14	were	be	AUX
gra-79	67	15	considered	consider	VERB
gra-79	67	16	for	for	ADP
gra-79	67	17	the	the	DET
gra-79	67	18	investigation	investigation	NOUN
gra-79	67	19	purpose	purpose	NOUN
gra-79	68	1	[	[	X
gra-79	68	2	10	10	NUM
gra-79	68	3	]	]	PUNCT
gra-79	68	4	.	.	PUNCT
gra-79	69	1	to	to	ADP
gra-79	69	2	the	the	DET
gra-79	69	3	semi	semi	ADJ
gra-79	69	4	-	-	ADJ
gra-79	69	5	supervised	supervised	ADJ
gra-79	69	6	learning	learning	NOUN
gra-79	69	7	algorithms	algorithm	NOUN
gra-79	69	8	an	an	DET
gra-79	69	9	application	application	NOUN
gra-79	69	10	status	status	NOUN
gra-79	69	11	was	be	AUX
gra-79	69	12	given	give	VERB
gra-79	69	13	in	in	ADP
gra-79	69	14	this	this	DET
gra-79	69	15	paper	paper	NOUN
gra-79	69	16	.	.	PUNCT
gra-79	70	1	in	in	ADP
gra-79	70	2	the	the	DET
gra-79	70	3	process	process	NOUN
gra-79	70	4	of	of	ADP
gra-79	70	5	industry	industry	NOUN
gra-79	70	6	both	both	CCONJ
gra-79	70	7	the	the	DET
gra-79	70	8	methods	method	NOUN
gra-79	70	9	unsupervised	unsupervise	VERB
gra-79	70	10	and	and	CCONJ
gra-79	70	11	supervised	supervised	ADJ
gra-79	70	12	machine	machine	NOUN
gra-79	70	13	learning	learning	NOUN
gra-79	70	14	is	be	AUX
gra-79	70	15	widely	widely	ADV
gra-79	70	16	used	use	VERB
gra-79	70	17	for	for	ADP
gra-79	70	18	approximately	approximately	ADV
gra-79	70	19	90%-95	90%-95	NUM
gra-79	70	20	%	%	NOUN
gra-79	70	21	of	of	ADP
gra-79	70	22	all	all	DET
gra-79	70	23	applications	application	NOUN
gra-79	70	24	.	.	PUNCT
gra-79	71	1	in	in	ADP
gra-79	71	2	the	the	DET
gra-79	71	3	recent	recent	ADJ
gra-79	71	4	years	year	NOUN
gra-79	71	5	,	,	PUNCT
gra-79	71	6	the	the	DET
gra-79	71	7	semi	semi	ADJ
gra-79	71	8	-	-	ADJ
gra-79	71	9	supervised	supervised	ADJ
gra-79	71	10	machine	machine	NOUN
gra-79	71	11	learning	learning	NOUN
gra-79	71	12	has	have	AUX
gra-79	71	13	been	be	AUX
gra-79	71	14	introduced	introduce	VERB
gra-79	71	15	.	.	PUNCT
gra-79	72	1	therefore	therefore	ADV
gra-79	72	2	,	,	PUNCT
gra-79	72	3	it	it	PRON
gra-79	72	4	is	be	AUX
gra-79	72	5	demonstrated	demonstrate	VERB
gra-79	72	6	that	that	SCONJ
gra-79	72	7	an	an	DET
gra-79	72	8	essential	essential	ADJ
gra-79	72	9	role	role	NOUN
gra-79	72	10	is	be	AUX
gra-79	72	11	played	play	VERB
gra-79	72	12	by	by	ADP
gra-79	72	13	the	the	DET
gra-79	72	14	data	data	NOUN
gra-79	72	15	mining	mining	NOUN
gra-79	72	16	and	and	CCONJ
gra-79	72	17	analytics	analytic	NOUN
gra-79	72	18	in	in	ADP
gra-79	72	19	the	the	DET
gra-79	72	20	process	process	NOUN
gra-79	72	21	of	of	ADP
gra-79	72	22	industry	industry	NOUN
gra-79	72	23	as	as	SCONJ
gra-79	72	24	it	it	PRON
gra-79	72	25	leads	lead	VERB
gra-79	72	26	to	to	PART
gra-79	72	27	develop	develop	VERB
gra-79	72	28	new	new	ADJ
gra-79	72	29	machine	machine	NOUN
gra-79	72	30	learning	learning	NOUN
gra-79	72	31	technique	technique	NOUN
gra-79	72	32	.	.	PUNCT
gra-79	73	1	p.	p.	NOUN
gra-79	73	2	suresh	suresh	PROPN
gra-79	73	3	kumar	kumar	PROPN
gra-79	73	4	,	,	PUNCT
gra-79	73	5	et.al	et.al	PROPN
gra-79	73	6	(	(	PUNCT
gra-79	73	7	2017	2017	NUM
gra-79	73	8	)	)	PUNCT
gra-79	73	9	proposed	propose	VERB
gra-79	73	10	a	a	DET
gra-79	73	11	model	model	NOUN
gra-79	73	12	that	that	PRON
gra-79	73	13	overcome	overcome	VERB
gra-79	73	14	all	all	DET
gra-79	73	15	the	the	DET
gra-79	73	16	problems	problem	NOUN
gra-79	73	17	such	such	ADJ
gra-79	73	18	as	as	ADP
gra-79	73	19	clustering	clustering	NOUN
gra-79	73	20	and	and	CCONJ
gra-79	73	21	classications	classication	NOUN
gra-79	73	22	from	from	ADP
gra-79	73	23	the	the	DET
gra-79	73	24	existing	exist	VERB
gra-79	73	25	system	system	NOUN
gra-79	73	26	by	by	ADP
gra-79	73	27	applying	apply	VERB
gra-79	73	28	data	datum	NOUN
gra-79	73	29	mining	mining	NOUN
gra-79	73	30	technique	technique	NOUN
gra-79	73	31	.	.	PUNCT
gra-79	74	1	this	this	DET
gra-79	74	2	method	method	NOUN
gra-79	74	3	is	be	AUX
gra-79	74	4	used	use	VERB
gra-79	74	5	to	to	PART
gra-79	74	6	diagnose	diagnose	VERB
gra-79	74	7	the	the	DET
gra-79	74	8	type	type	NOUN
gra-79	74	9	of	of	ADP
gra-79	74	10	diabetes	diabetes	NOUN
gra-79	74	11	and	and	CCONJ
gra-79	74	12	from	from	ADP
gra-79	74	13	the	the	DET
gra-79	74	14	collected	collect	VERB
gra-79	74	15	data	datum	NOUN
gra-79	74	16	a	a	DET
gra-79	74	17	security	security	NOUN
gra-79	74	18	level	level	NOUN
gra-79	74	19	for	for	ADP
gra-79	74	20	every	every	DET
gra-79	74	21	patient	patient	NOUN
gra-79	74	22	.	.	PUNCT
gra-79	75	1	there	there	PRON
gra-79	75	2	are	be	VERB
gra-79	75	3	various	various	ADJ
gra-79	75	4	affects	affect	NOUN
gra-79	75	5	of	of	ADP
gra-79	75	6	this	this	DET
gra-79	75	7	disease	disease	NOUN
gra-79	75	8	due	due	ADP
gra-79	75	9	to	to	ADP
gra-79	75	10	which	which	PRON
gra-79	75	11	most	most	ADJ
gra-79	75	12	of	of	ADP
gra-79	75	13	the	the	DET
gra-79	75	14	research	research	NOUN
gra-79	75	15	is	be	AUX
gra-79	75	16	done	do	VERB
gra-79	75	17	in	in	ADP
gra-79	75	18	this	this	DET
gra-79	75	19	area	area	NOUN
gra-79	75	20	[	[	X
gra-79	75	21	11	11	NUM
gra-79	75	22	]	]	PUNCT
gra-79	75	23	.	.	PUNCT
gra-79	76	1	all	all	DET
gra-79	76	2	the	the	DET
gra-79	76	3	collected	collect	VERB
gra-79	76	4	data	datum	NOUN
gra-79	76	5	of	of	ADP
gra-79	76	6	the	the	DET
gra-79	76	7	650	650	NUM
gra-79	76	8	patient	patient	NOUN
gra-79	76	9	's	's	PART
gra-79	76	10	was	be	AUX
gra-79	76	11	used	use	VERB
gra-79	76	12	in	in	ADP
gra-79	76	13	this	this	DET
gra-79	76	14	paper	paper	NOUN
gra-79	76	15	for	for	ADP
gra-79	76	16	the	the	DET
gra-79	76	17	investigation	investigation	NOUN
gra-79	76	18	purpose	purpose	NOUN
gra-79	76	19	and	and	CCONJ
gra-79	76	20	its	its	PRON
gra-79	76	21	affects	affect	NOUN
gra-79	76	22	are	be	AUX
gra-79	76	23	identied	identied	PROPN
gra-79	76	24	.	.	PROPN
gra-79	76	25	in	in	ADP
gra-79	76	26	the	the	DET
gra-79	76	27	classication	classication	NOUN
gra-79	76	28	model	model	NOUN
gra-79	76	29	,	,	PUNCT
gra-79	76	30	this	this	DET
gra-79	76	31	clustered	clustered	ADJ
gra-79	76	32	dataset	dataset	NOUN
gra-79	76	33	was	be	AUX
gra-79	76	34	used	use	VERB
gra-79	76	35	as	as	ADP
gra-79	76	36	input	input	NOUN
gra-79	76	37	that	that	PRON
gra-79	76	38	is	be	AUX
gra-79	76	39	used	use	VERB
gra-79	76	40	for	for	ADP
gra-79	76	41	the	the	DET
gra-79	76	42	classication	classication	NOUN
gra-79	76	43	process	process	NOUN
gra-79	76	44	such	such	ADJ
gra-79	76	45	as	as	ADP
gra-79	76	46	patient	patient	NOUN
gra-79	76	47	's	's	PART
gra-79	76	48	risk	risk	NOUN
gra-79	76	49	levels	level	NOUN
gra-79	76	50	of	of	ADP
gra-79	76	51	diabetes	diabetes	NOUN
gra-79	76	52	as	as	ADP
gra-79	76	53	mild	mild	ADJ
gra-79	76	54	,	,	PUNCT
gra-79	76	55	moderate	moderate	ADJ
gra-79	76	56	and	and	CCONJ
gra-79	76	57	severe	severe	ADJ
gra-79	76	58	.	.	PUNCT
gra-79	77	1	in	in	ADP
gra-79	77	2	order	order	NOUN
gra-79	77	3	to	to	PART
gra-79	77	4	diagnose	diagnose	VERB
gra-79	77	5	diabetes	diabetes	NOUN
gra-79	77	6	,	,	PUNCT
gra-79	77	7	performance	performance	NOUN
gra-79	77	8	analysis	analysis	NOUN
gra-79	77	9	of	of	ADP
gra-79	77	10	different	different	ADJ
gra-79	77	11	algorithms	algorithm	NOUN
gra-79	77	12	was	be	AUX
gra-79	77	13	done	do	VERB
gra-79	77	14	.	.	PUNCT
gra-79	78	1	on	on	ADP
gra-79	78	2	the	the	DET
gra-79	78	3	basis	basis	NOUN
gra-79	78	4	of	of	ADP
gra-79	78	5	obtained	obtain	VERB
gra-79	78	6	result	result	NOUN
gra-79	78	7	the	the	DET
gra-79	78	8	performance	performance	NOUN
gra-79	78	9	of	of	ADP
gra-79	78	10	each	each	DET
gra-79	78	11	classication	classication	NOUN
gra-79	78	12	algorithm	algorithm	NOUN
gra-79	78	13	is	be	AUX
gra-79	78	14	measured	measure	VERB
gra-79	78	15	.	.	PUNCT
gra-79	79	1	han	han	PROPN
gra-79	79	2	wu	wu	PROPN
gra-79	79	3	,	,	PUNCT
gra-79	79	4	et.al	et.al	PROPN
gra-79	79	5	(	(	PUNCT
gra-79	79	6	2018	2018	NUM
gra-79	79	7	)	)	PUNCT
gra-79	79	8	proposed	propose	VERB
gra-79	79	9	a	a	DET
gra-79	79	10	novel	novel	ADJ
gra-79	79	11	model	model	NOUN
gra-79	79	12	based	base	VERB
gra-79	79	13	on	on	ADP
gra-79	79	14	data	datum	NOUN
gra-79	79	15	mining	mining	NOUN
gra-79	79	16	techniques	technique	NOUN
gra-79	79	17	for	for	ADP
gra-79	79	18	predicting	predict	VERB
gra-79	79	19	type	type	NOUN
gra-79	79	20	2	2	NUM
gra-79	79	21	diabetes	diabetes	NOUN
gra-79	79	22	mellitus	mellitus	NOUN
gra-79	79	23	(	(	PUNCT
gra-79	79	24	t2	t2	NOUN
gra-79	79	25	dm	dm	PROPN
gra-79	79	26	)	)	PUNCT
gra-79	79	27	.	.	PUNCT
gra-79	80	1	the	the	DET
gra-79	80	2	main	main	ADJ
gra-79	80	3	objective	objective	NOUN
gra-79	80	4	of	of	ADP
gra-79	80	5	this	this	DET
gra-79	80	6	paper	paper	NOUN
gra-79	80	7	is	be	AUX
gra-79	80	8	to	to	PART
gra-79	80	9	improve	improve	VERB
gra-79	80	10	the	the	DET
gra-79	80	11	accuracy	accuracy	NOUN
gra-79	80	12	of	of	ADP
gra-79	80	13	the	the	DET
gra-79	80	14	prediction	prediction	NOUN
gra-79	80	15	model	model	NOUN
gra-79	80	16	and	and	CCONJ
gra-79	80	17	to	to	ADP
gra-79	80	18	more	more	ADJ
gra-79	80	19	than	than	ADP
gra-79	80	20	one	one	NUM
gra-79	80	21	dataset	dataset	NOUN
gra-79	80	22	model	model	NOUN
gra-79	80	23	is	be	AUX
gra-79	80	24	made	make	VERB
gra-79	80	25	adaptive	adaptive	ADJ
gra-79	80	26	in	in	ADP
gra-79	80	27	nature	nature	NOUN
gra-79	80	28	.	.	PUNCT
gra-79	81	1	proposed	propose	VERB
gra-79	81	2	model	model	NOUN
gra-79	81	3	comprised	comprise	VERB
gra-79	81	4	of	of	ADP
gra-79	81	5	two	two	NUM
gra-79	81	6	parts	part	NOUN
gra-79	81	7	based	base	VERB
gra-79	81	8	on	on	ADP
gra-79	81	9	a	a	DET
gra-79	81	10	series	series	NOUN
gra-79	81	11	of	of	ADP
gra-79	81	12	preprocessing	preprocessing	NOUN
gra-79	81	13	procedures	procedure	NOUN
gra-79	81	14	[	[	X
gra-79	81	15	12	12	NUM
gra-79	81	16	]	]	PUNCT
gra-79	81	17	.	.	PUNCT
gra-79	82	1	these	these	DET
gra-79	82	2	two	two	NUM
gra-79	82	3	parts	part	NOUN
gra-79	82	4	are	be	AUX
gra-79	82	5	improved	improve	VERB
gra-79	82	6	k	k	ADJ
gra-79	82	7	-	-	PUNCT
gra-79	82	8	means	means	NOUN
gra-79	82	9	algorithm	algorithm	NOUN
gra-79	82	10	and	and	CCONJ
gra-79	82	11	the	the	DET
gra-79	82	12	logistic	logistic	ADJ
gra-79	82	13	regression	regression	NOUN
gra-79	82	14	algorithm	algorithm	NOUN
gra-79	82	15	.	.	PUNCT
gra-79	83	1	in	in	ADP
gra-79	83	2	order	order	NOUN
gra-79	83	3	to	to	PART
gra-79	83	4	compare	compare	VERB
gra-79	83	5	the	the	DET
gra-79	83	6	results	result	NOUN
gra-79	83	7	with	with	ADP
gra-79	83	8	other	other	ADJ
gra-79	83	9	methods	method	NOUN
gra-79	83	10	the	the	DET
gra-79	83	11	pima	pima	PROPN
gra-79	83	12	indians	indians	PROPN
gra-79	83	13	diabetes	diabete	VERB
gra-79	83	14	dataset	dataset	VERB
gra-79	83	15	and	and	CCONJ
gra-79	83	16	the	the	DET
gra-79	83	17	waikato	waikato	NOUN
gra-79	83	18	environment	environment	NOUN
gra-79	83	19	was	be	AUX
gra-79	83	20	utilized	utilize	VERB
gra-79	83	21	for	for	ADP
gra-79	83	22	knowledge	knowledge	NOUN
gra-79	83	23	analysis	analysis	NOUN
gra-79	83	24	toolkit	toolkit	NOUN
gra-79	83	25	.	.	PUNCT
gra-79	84	1	as	as	ADP
gra-79	84	2	per	per	ADP
gra-79	84	3	performed	perform	VERB
gra-79	84	4	experiments	experiment	NOUN
gra-79	84	5	,	,	PUNCT
gra-79	84	6	it	it	PRON
gra-79	84	7	is	be	AUX
gra-79	84	8	concluded	conclude	VERB
gra-79	84	9	that	that	SCONJ
gra-79	84	10	proposed	propose	VERB
gra-79	84	11	model	model	NOUN
gra-79	84	12	show	show	VERB
gra-79	84	13	netter	netter	NOUN
gra-79	84	14	accuracy	accuracy	NOUN
gra-79	84	15	as	as	ADP
gra-79	84	16	compared	compare	VERB
gra-79	84	17	to	to	ADP
gra-79	84	18	other	other	ADJ
gra-79	84	19	methods	method	NOUN
gra-79	84	20	and	and	CCONJ
gra-79	84	21	also	also	ADV
gra-79	84	22	provide	provide	VERB
gra-79	84	23	the	the	DET
gra-79	84	24	sufcient	sufcient	ADJ
gra-79	84	25	dataset	dataset	NOUN
gra-79	84	26	quality	quality	NOUN
gra-79	84	27	.	.	PUNCT
gra-79	85	1	in	in	ADP
gra-79	85	2	order	order	NOUN
gra-79	85	3	to	to	PART
gra-79	85	4	evaluate	evaluate	VERB
gra-79	85	5	the	the	DET
gra-79	85	6	performance	performance	NOUN
gra-79	85	7	of	of	ADP
gra-79	85	8	the	the	DET
gra-79	85	9	model	model	NOUN
gra-79	85	10	it	it	PRON
gra-79	85	11	is	be	AUX
gra-79	85	12	applied	apply	VERB
gra-79	85	13	to	to	ADP
gra-79	85	14	other	other	ADJ
gra-79	85	15	diabetes	diabetes	NOUN
gra-79	85	16	dataset	dataset	VERB
gra-79	85	17	,	,	PUNCT
gra-79	85	18	in	in	ADP
gra-79	85	19	which	which	PRON
gra-79	85	20	good	good	ADJ
gra-79	85	21	performance	performance	NOUN
gra-79	85	22	is	be	AUX
gra-79	85	23	shown	show	VERB
gra-79	85	24	by	by	ADP
gra-79	85	25	both	both	DET
gra-79	85	26	the	the	DET
gra-79	85	27	methods	method	NOUN
gra-79	85	28	.	.	PUNCT
gra-79	86	1	jahinmajumdar	jahinmajumdar	NOUN
gra-79	86	2	,	,	PUNCT
gra-79	86	3	et.al	et.al	PROPN
gra-79	86	4	,	,	PUNCT
gra-79	86	5	(	(	PUNCT
gra-79	86	6	2016	2016	NUM
gra-79	86	7	)	)	PUNCT
gra-79	86	8	presented	present	VERB
gra-79	86	9	the	the	DET
gra-79	86	10	most	most	ADV
gra-79	86	11	popular	popular	ADJ
gra-79	86	12	research	research	NOUN
gra-79	86	13	areas	area	NOUN
gra-79	86	14	in	in	ADP
gra-79	86	15	computer	computer	NOUN
gra-79	86	16	science	science	NOUN
gra-79	86	17	that	that	PRON
gra-79	86	18	is	be	AUX
gra-79	86	19	data	datum	NOUN
gra-79	86	20	mining	mining	NOUN
gra-79	86	21	and	and	CCONJ
gra-79	86	22	machine	machine	NOUN
gra-79	86	23	learning	learning	NOUN
gra-79	86	24	is	be	AUX
gra-79	86	25	utilized	utilize	VERB
gra-79	86	26	in	in	ADP
gra-79	86	27	order	order	NOUN
gra-79	86	28	to	to	PART
gra-79	86	29	provide	provide	VERB
gra-79	86	30	essential	essential	ADJ
gra-79	86	31	data	datum	NOUN
gra-79	86	32	or	or	CCONJ
gra-79	86	33	information	information	NOUN
gra-79	87	1	[	[	X
gra-79	87	2	13	13	NUM
gra-79	87	3	]	]	PUNCT
gra-79	87	4	.	.	PUNCT
gra-79	88	1	the	the	DET
gra-79	88	2	sfs	sfs	PROPN
gra-79	88	3	and	and	CCONJ
gra-79	88	4	sbs	sbs	NOUN
gra-79	88	5	approaches	approach	NOUN
gra-79	88	6	are	be	AUX
gra-79	88	7	the	the	DET
gra-79	88	8	optimal	optimal	ADJ
gra-79	88	9	approaches	approach	NOUN
gra-79	88	10	and	and	CCONJ
gra-79	88	11	preferred	prefer	VERB
gra-79	88	12	as	as	SCONJ
gra-79	88	13	it	it	PRON
gra-79	88	14	use	use	VERB
gra-79	88	15	with	with	ADP
gra-79	88	16	forward	forward	ADJ
gra-79	88	17	selection	selection	NOUN
gra-79	88	18	.	.	PUNCT
gra-79	89	1	svm	svm	ADJ
gra-79	89	2	techniques	technique	NOUN
gra-79	89	3	are	be	AUX
gra-79	89	4	used	use	VERB
gra-79	89	5	by	by	ADP
gra-79	89	6	the	the	DET
gra-79	89	7	proposed	propose	VERB
gra-79	89	8	heuristic	heuristic	ADJ
gra-79	89	9	model	model	NOUN
gra-79	89	10	as	as	SCONJ
gra-79	89	11	it	it	PRON
gra-79	89	12	provides	provide	VERB
gra-79	89	13	the	the	DET
gra-79	89	14	accuracy	accuracy	NOUN
gra-79	89	15	and	and	CCONJ
gra-79	89	16	heavy	heavy	ADJ
gra-79	89	17	in	in	ADP
gra-79	89	18	the	the	DET
gra-79	89	19	computational	computational	ADJ
gra-79	89	20	functions	function	NOUN
gra-79	89	21	.	.	PUNCT
gra-79	90	1	the	the	DET
gra-79	90	2	accuracy	accuracy	NOUN
gra-79	90	3	level	level	NOUN
gra-79	90	4	of	of	ADP
gra-79	90	5	svm	svm	PROPN
gra-79	90	6	is	be	AUX
gra-79	90	7	measured	measure	VERB
gra-79	90	8	with	with	ADP
gra-79	90	9	the	the	DET
gra-79	90	10	help	help	NOUN
gra-79	90	11	of	of	ADP
gra-79	90	12	dataset	dataset	NOUN
gra-79	90	13	.	.	PUNCT
gra-79	91	1	in	in	ADP
gra-79	91	2	order	order	NOUN
gra-79	91	3	to	to	PART
gra-79	91	4	improve	improve	VERB
gra-79	91	5	the	the	DET
gra-79	91	6	data	datum	NOUN
gra-79	91	7	classication	classication	NOUN
gra-79	91	8	and	and	CCONJ
gra-79	91	9	pattern	pattern	NOUN
gra-79	91	10	recognition	recognition	NOUN
gra-79	91	11	in	in	ADP
gra-79	91	12	data	datum	NOUN
gra-79	91	13	mining	mining	NOUN
gra-79	91	14	mainly	mainly	ADV
gra-79	91	15	feature	feature	NOUN
gra-79	91	16	selection	selection	NOUN
gra-79	91	17	various	various	ADJ
gra-79	91	18	existing	exist	VERB
gra-79	91	19	approaches	approach	NOUN
gra-79	91	20	were	be	AUX
gra-79	91	21	focused	focus	VERB
gra-79	91	22	and	and	CCONJ
gra-79	91	23	experimented	experiment	VERB
gra-79	91	24	.	.	PUNCT
gra-79	92	1	as	as	ADP
gra-79	92	2	per	per	ADP
gra-79	92	3	performed	perform	VERB
gra-79	92	4	experiments	experiment	NOUN
gra-79	92	5	,	,	PUNCT
gra-79	92	6	it	it	PRON
gra-79	92	7	is	be	AUX
gra-79	92	8	concluded	conclude	VERB
gra-79	92	9	that	that	SCONJ
gra-79	92	10	comparison	comparison	NOUN
gra-79	92	11	between	between	ADP
gra-79	92	12	the	the	DET
gra-79	92	13	existing	exist	VERB
gra-79	92	14	techniques	technique	NOUN
gra-79	92	15	was	be	AUX
gra-79	92	16	done	do	VERB
gra-79	92	17	in	in	ADP
gra-79	92	18	order	order	NOUN
gra-79	92	19	to	to	ADP
gra-79	92	20	nd	nd	ADV
gra-79	92	21	out	out	ADP
gra-79	92	22	the	the	DET
gra-79	92	23	best	good	ADJ
gra-79	92	24	method	method	NOUN
gra-79	92	25	.	.	PUNCT
gra-79	93	1	the	the	DET
gra-79	93	2	theoretical	theoretical	ADJ
gra-79	93	3	limitations	limitation	NOUN
gra-79	93	4	of	of	ADP
gra-79	93	5	existing	exist	VERB
gra-79	93	6	algorithms	algorithm	NOUN
gra-79	93	7	were	be	AUX
gra-79	93	8	overcome	overcome	VERB
gra-79	93	9	by	by	ADP
gra-79	93	10	proposed	propose	VERB
gra-79	93	11	method	method	NOUN
gra-79	93	12	.	.	PUNCT
gra-79	94	1	research	research	NOUN
gra-79	94	2	methodology	methodology	NOUN
gra-79	94	3	this	this	DET
gra-79	94	4	research	research	NOUN
gra-79	94	5	work	work	NOUN
gra-79	94	6	is	be	AUX
gra-79	94	7	based	base	VERB
gra-79	94	8	on	on	ADP
gra-79	94	9	the	the	DET
gra-79	94	10	prediction	prediction	NOUN
gra-79	94	11	analysis	analysis	NOUN
gra-79	94	12	of	of	ADP
gra-79	94	13	heart	heart	NOUN
gra-79	94	14	diseases	disease	NOUN
gra-79	94	15	.	.	PUNCT
gra-79	95	1	the	the	DET
gra-79	95	2	prediction	prediction	NOUN
gra-79	95	3	analysis	analysis	NOUN
gra-79	95	4	is	be	AUX
gra-79	95	5	the	the	DET
gra-79	95	6	technique	technique	NOUN
gra-79	95	7	in	in	ADP
gra-79	95	8	which	which	PRON
gra-79	95	9	future	future	ADJ
gra-79	95	10	possibilities	possibility	NOUN
gra-79	95	11	can	can	AUX
gra-79	95	12	predicted	predict	VERB
gra-79	95	13	based	base	VERB
gra-79	95	14	on	on	ADP
gra-79	95	15	the	the	DET
gra-79	95	16	current	current	ADJ
gra-79	95	17	dataset	dataset	NOUN
gra-79	95	18	.	.	PUNCT
gra-79	96	1	in	in	ADP
gra-79	96	2	this	this	DET
gra-79	96	3	research	research	NOUN
gra-79	96	4	work	work	NOUN
gra-79	96	5	,	,	PUNCT
gra-79	96	6	technique	technique	NOUN
gra-79	96	7	of	of	ADP
gra-79	96	8	svm	svm	PROPN
gra-79	96	9	is	be	AUX
gra-79	96	10	applied	apply	VERB
gra-79	96	11	previously	previously	ADV
gra-79	96	12	for	for	ADP
gra-79	96	13	the	the	DET
gra-79	96	14	prediction	prediction	NOUN
gra-79	96	15	analysis	analysis	NOUN
gra-79	96	16	.	.	PUNCT
gra-79	97	1	one	one	NUM
gra-79	97	2	of	of	ADP
gra-79	97	3	the	the	DET
gra-79	97	4	simplest	simple	ADJ
gra-79	97	5	algorithms	algorithms	NOUN
gra-79	97	6	amongst	amongst	ADP
gra-79	97	7	all	all	DET
gra-79	97	8	the	the	DET
gra-79	97	9	learning	learn	VERB
gra-79	97	10	machine	machine	NOUN
gra-79	97	11	algorithms	algorithm	NOUN
gra-79	97	12	is	be	AUX
gra-79	97	13	the	the	DET
gra-79	97	14	svm	svm	ADJ
gra-79	97	15	algorithm	algorithm	NOUN
gra-79	97	16	.	.	PUNCT
gra-79	98	1	since	since	SCONJ
gra-79	98	2	there	there	PRON
gra-79	98	3	are	be	VERB
gra-79	98	4	no	no	DET
gra-79	98	5	assumptions	assumption	NOUN
gra-79	98	6	made	make	VERB
gra-79	98	7	on	on	ADP
gra-79	98	8	the	the	DET
gra-79	98	9	underlying	underlie	VERB
gra-79	98	10	data	datum	NOUN
gra-79	98	11	distribution	distribution	NOUN
gra-79	98	12	,	,	PUNCT
gra-79	98	13	decision	decision	NOUN
gra-79	98	14	tree	tree	NOUN
gra-79	98	15	is	be	AUX
gra-79	98	16	known	know	VERB
gra-79	98	17	to	to	PART
gra-79	98	18	be	be	AUX
gra-79	98	19	a	a	DET
gra-79	98	20	non	non	ADJ
gra-79	98	21	-	-	ADJ
gra-79	98	22	parametric	parametric	ADJ
gra-79	98	23	supervised	supervised	ADJ
gra-79	98	24	learning	learning	NOUN
gra-79	98	25	algorithm	algorithm	NOUN
gra-79	98	26	.	.	PUNCT
gra-79	99	1	here	here	ADV
gra-79	99	2	,	,	PUNCT
gra-79	99	3	on	on	ADP
gra-79	99	4	the	the	DET
gra-79	99	5	basis	basis	NOUN
gra-79	99	6	of	of	ADP
gra-79	99	7	nearest	near	ADJ
gra-79	99	8	training	training	NOUN
gra-79	99	9	samples	sample	NOUN
gra-79	99	10	present	present	ADJ
gra-79	99	11	within	within	ADP
gra-79	99	12	the	the	DET
gra-79	99	13	feature	feature	NOUN
gra-79	99	14	space	space	NOUN
gra-79	99	15	,	,	PUNCT
gra-79	99	16	the	the	DET
gra-79	99	17	samples	sample	NOUN
gra-79	99	18	are	be	AUX
gra-79	99	19	classied	classied	PROPN
gra-79	99	20	.	.	PUNCT
gra-79	100	1	the	the	DET
gra-79	100	2	feature	feature	NOUN
gra-79	100	3	vectors	vector	NOUN
gra-79	100	4	are	be	AUX
gra-79	100	5	stored	store	VERB
gra-79	100	6	along	along	ADP
gra-79	100	7	with	with	ADP
gra-79	100	8	the	the	DET
gra-79	100	9	labels	label	NOUN
gra-79	100	10	of	of	ADP
gra-79	100	11	training	train	VERB
gra-79	100	12	pictures	picture	NOUN
gra-79	100	13	within	within	ADP
gra-79	100	14	the	the	DET
gra-79	100	15	training	training	NOUN
gra-79	100	16	process	process	NOUN
gra-79	100	17	.	.	PUNCT
gra-79	101	1	towards	towards	ADP
gra-79	101	2	the	the	DET
gra-79	101	3	label	label	NOUN
gra-79	101	4	of	of	ADP
gra-79	101	5	its	its	PRON
gra-79	101	6	k	k	NOUN
gra-79	101	7	-	-	PUNCT
gra-79	101	8	nearest	near	ADJ
gra-79	101	9	neighbors	neighbor	NOUN
gra-79	101	10	,	,	PUNCT
gra-79	101	11	the	the	DET
gra-79	101	12	unlabelled	unlabelled	ADJ
gra-79	101	13	question	question	NOUN
gra-79	101	14	point	point	NOUN
gra-79	101	15	is	be	AUX
gra-79	101	16	doled	dole	VERB
gra-79	101	17	out	out	ADP
gra-79	101	18	during	during	ADP
gra-79	101	19	the	the	DET
gra-79	101	20	classication	classication	NOUN
gra-79	101	21	process	process	NOUN
gra-79	101	22	.	.	PUNCT
gra-79	102	1	through	through	ADP
gra-79	102	2	majority	majority	NOUN
gra-79	102	3	share	share	NOUN
gra-79	102	4	cote	cote	PROPN
gra-79	102	5	,	,	PUNCT
gra-79	102	6	on	on	ADP
gra-79	102	7	the	the	DET
gra-79	102	8	basis	basis	NOUN
gra-79	102	9	of	of	ADP
gra-79	102	10	labels	label	NOUN
gra-79	102	11	of	of	ADP
gra-79	102	12	its	its	PRON
gra-79	102	13	neighbors	neighbor	NOUN
gra-79	102	14	,	,	PUNCT
gra-79	102	15	the	the	DET
gra-79	102	16	object	object	NOUN
gra-79	102	17	is	be	AUX
gra-79	102	18	characterized	characterize	VERB
gra-79	102	19	.	.	PUNCT
gra-79	103	1	the	the	DET
gra-79	103	2	object	object	NOUN
gra-79	103	3	is	be	AUX
gra-79	103	4	classied	classied	PROPN
gra-79	103	5	essentially	essentially	ADV
gra-79	103	6	as	as	ADP
gra-79	103	7	the	the	DET
gra-79	103	8	class	class	NOUN
gra-79	103	9	of	of	ADP
gra-79	103	10	the	the	DET
gra-79	103	11	object	object	NOUN
gra-79	103	12	that	that	PRON
gra-79	103	13	is	be	AUX
gra-79	103	14	nearest	near	ADJ
gra-79	103	15	to	to	ADP
gra-79	103	16	it	it	PRON
gra-79	103	17	in	in	ADP
gra-79	103	18	the	the	DET
gra-79	103	19	event	event	NOUN
gra-79	103	20	when	when	SCONJ
gra-79	103	21	k=1	k=1	PRON
gra-79	103	22	.	.	PUNCT
gra-79	104	1	k	k	PROPN
gra-79	104	2	is	be	AUX
gra-79	104	3	known	know	VERB
gra-79	104	4	to	to	PART
gra-79	104	5	be	be	AUX
gra-79	104	6	an	an	DET
gra-79	104	7	odd	odd	ADJ
gra-79	104	8	integer	integer	NOUN
gra-79	104	9	in	in	ADP
gra-79	104	10	case	case	NOUN
gra-79	104	11	when	when	SCONJ
gra-79	104	12	there	there	PRON
gra-79	104	13	are	be	VERB
gra-79	104	14	only	only	ADV
gra-79	104	15	two	two	NUM
gra-79	104	16	classes	class	NOUN
gra-79	104	17	present	present	ADJ
gra-79	104	18	.	.	PUNCT
gra-79	105	1	during	during	ADP
gra-79	105	2	the	the	DET
gra-79	105	3	performance	performance	NOUN
gra-79	105	4	of	of	ADP
gra-79	105	5	multiclass	multiclass	ADJ
gra-79	105	6	categorization	categorization	NOUN
gra-79	105	7	,	,	PUNCT
gra-79	105	8	there	there	PRON
gra-79	105	9	can	can	AUX
gra-79	105	10	be	be	AUX
gra-79	105	11	tie	tie	VERB
gra-79	105	12	in	in	ADP
gra-79	105	13	case	case	NOUN
gra-79	105	14	when	when	SCONJ
gra-79	105	15	k	k	PROPN
gra-79	105	16	is	be	AUX
gra-79	105	17	an	an	DET
gra-79	105	18	odd	odd	ADJ
gra-79	105	19	whole	whole	ADJ
gra-79	105	20	number	number	NOUN
gra-79	105	21	.	.	PUNCT
gra-79	106	1	fig	fig	NOUN
gra-79	106	2	1	1	NUM
gra-79	106	3	:	:	PUNCT
gra-79	106	4	proposed	propose	VERB
gra-79	106	5	methodology	methodology	NOUN
gra-79	106	6	volume-8	volume-8	NUM
gra-79	106	7	,	,	PUNCT
gra-79	106	8	issue-9	issue-9	NUM
gra-79	106	9	,	,	PUNCT
gra-79	106	10	september-2019	september-2019	ADJ
gra-79	106	11	•	•	NUM
gra-79	106	12	print	print	NOUN
gra-79	106	13	issn	issn	PROPN
gra-79	106	14	no	no	NOUN
gra-79	106	15	.	.	PROPN
gra-79	106	16	2277	2277	NUM
gra-79	106	17	8160	8160	NUM
gra-79	106	18	•	•	NOUN
gra-79	106	19	doi	doi	NOUN
gra-79	106	20	:	:	PUNCT
gra-79	106	21	10.36106	10.36106	NUM
gra-79	106	22	/	/	SYM
gra-79	106	23	gjra	gjra	ADJ
gra-79	106	24	experimental	experimental	ADJ
gra-79	106	25	results	result	NOUN
gra-79	106	26	the	the	DET
gra-79	106	27	proposed	propose	VERB
gra-79	106	28	approach	approach	NOUN
gra-79	106	29	is	be	AUX
gra-79	106	30	implemented	implement	VERB
gra-79	106	31	in	in	ADP
gra-79	106	32	python	python	NOUN
gra-79	106	33	and	and	CCONJ
gra-79	106	34	the	the	DET
gra-79	106	35	results	result	NOUN
gra-79	106	36	are	be	AUX
gra-79	106	37	analyzed	analyze	VERB
gra-79	106	38	by	by	ADP
gra-79	106	39	showing	show	VERB
gra-79	106	40	comparisons	comparison	NOUN
gra-79	106	41	amongst	amongst	ADP
gra-79	106	42	proposed	propose	VERB
gra-79	106	43	and	and	CCONJ
gra-79	106	44	existing	exist	VERB
gra-79	106	45	approaches	approach	NOUN
gra-79	106	46	in	in	ADP
gra-79	106	47	terms	term	NOUN
gra-79	106	48	of	of	ADP
gra-79	106	49	accuracy	accuracy	NOUN
gra-79	106	50	and	and	CCONJ
gra-79	106	51	execution	execution	NOUN
gra-79	106	52	time	time	NOUN
gra-79	106	53	.	.	PUNCT
gra-79	107	1	1	1	X
gra-79	107	2	.	.	X
gra-79	107	3	accuracy	accuracy	NOUN
gra-79	107	4	:	:	PUNCT
gra-79	107	5	accuracy	accuracy	NOUN
gra-79	107	6	is	be	AUX
gra-79	107	7	dened	dene	VERB
gra-79	107	8	as	as	ADP
gra-79	107	9	the	the	DET
gra-79	107	10	number	number	NOUN
gra-79	107	11	of	of	ADP
gra-79	107	12	points	point	NOUN
gra-79	107	13	correctly	correctly	ADV
gra-79	107	14	classied	classied	PROPN
gra-79	107	15	divided	divide	VERB
gra-79	107	16	by	by	ADP
gra-79	107	17	total	total	ADJ
gra-79	107	18	number	number	NOUN
gra-79	107	19	of	of	ADP
gra-79	107	20	points	point	NOUN
gra-79	107	21	multiplied	multiply	VERB
gra-79	107	22	by	by	ADP
gra-79	107	23	100	100	NUM
gra-79	107	24	,	,	PUNCT
gra-79	107	25	as	as	SCONJ
gra-79	107	26	shown	show	VERB
gra-79	107	27	in	in	ADP
gra-79	107	28	eqn	eqn	NOUN
gra-79	107	29	.	.	PUNCT
gra-79	108	1	1	1	NUM
gra-79	108	2	.	.	X
gra-79	108	3	accuracy	accuracy	NOUN
gra-79	108	4	=	=	SYM
gra-79	108	5	fig	fig	NOUN
gra-79	108	6	2	2	NUM
gra-79	108	7	:	:	PUNCT
gra-79	108	8	accuracy	accuracy	NOUN
gra-79	108	9	comparison	comparison	NOUN
gra-79	108	10	as	as	SCONJ
gra-79	108	11	shown	show	VERB
gra-79	108	12	in	in	ADP
gra-79	108	13	gure	gure	NOUN
gra-79	108	14	2	2	NUM
gra-79	108	15	,	,	PUNCT
gra-79	108	16	the	the	DET
gra-79	108	17	accuracy	accuracy	NOUN
gra-79	108	18	comparison	comparison	NOUN
gra-79	108	19	of	of	ADP
gra-79	108	20	existing	exist	VERB
gra-79	108	21	and	and	CCONJ
gra-79	108	22	proposed	propose	VERB
gra-79	108	23	algorithm	algorithm	NOUN
gra-79	108	24	is	be	AUX
gra-79	108	25	shown	show	VERB
gra-79	108	26	.	.	PUNCT
gra-79	109	1	the	the	DET
gra-79	109	2	accuracy	accuracy	NOUN
gra-79	109	3	of	of	ADP
gra-79	109	4	proposed	propose	VERB
gra-79	109	5	algorithm	algorithm	NOUN
gra-79	109	6	is	be	AUX
gra-79	109	7	high	high	ADJ
gra-79	109	8	as	as	SCONJ
gra-79	109	9	compared	compare	VERB
gra-79	109	10	to	to	ADP
gra-79	109	11	existing	exist	VERB
gra-79	109	12	algorithm	algorithm	NOUN
gra-79	109	13	.	.	PUNCT
gra-79	110	1	2	2	X
gra-79	110	2	.	.	X
gra-79	110	3	execution	execution	NOUN
gra-79	110	4	time	time	NOUN
gra-79	110	5	:	:	PUNCT
gra-79	110	6	execution	execution	NOUN
gra-79	110	7	time	time	NOUN
gra-79	110	8	is	be	AUX
gra-79	110	9	dened	dene	VERB
gra-79	110	10	as	as	ADP
gra-79	110	11	difference	difference	NOUN
gra-79	110	12	of	of	ADP
gra-79	110	13	end	end	NOUN
gra-79	110	14	time	time	NOUN
gra-79	110	15	when	when	SCONJ
gra-79	110	16	algorithm	algorithm	NOUN
gra-79	110	17	stops	stop	VERB
gra-79	110	18	performing	perform	VERB
gra-79	110	19	and	and	CCONJ
gra-79	110	20	starts	start	VERB
gra-79	110	21	time	time	NOUN
gra-79	110	22	when	when	SCONJ
gra-79	110	23	algorithm	algorithm	NOUN
gra-79	110	24	starts	start	VERB
gra-79	110	25	performing	perform	VERB
gra-79	110	26	as	as	SCONJ
gra-79	110	27	shown	show	VERB
gra-79	110	28	in	in	ADP
gra-79	110	29	eqn	eqn	NOUN
gra-79	110	30	.	.	PUNCT
gra-79	111	1	2	2	X
gra-79	111	2	.	.	X
gra-79	111	3	execution	execution	NOUN
gra-79	111	4	time	time	NOUN
gra-79	111	5	=	=	PRON
gra-79	111	6	end	end	VERB
gra-79	111	7	time	time	NOUN
gra-79	111	8	of	of	ADP
gra-79	111	9	algorithmstart	algorithmstart	NOUN
gra-79	111	10	of	of	ADP
gra-79	111	11	the	the	DET
gra-79	111	12	algorithm	algorithm	NOUN
gra-79	111	13	--2	--2	X
gra-79	111	14	fig	fig	PROPN
gra-79	111	15	3	3	NUM
gra-79	111	16	:	:	PUNCT
gra-79	111	17	execution	execution	NOUN
gra-79	111	18	time	time	NOUN
gra-79	111	19	as	as	SCONJ
gra-79	111	20	shown	show	VERB
gra-79	111	21	in	in	ADP
gra-79	111	22	gure	gure	NOUN
gra-79	111	23	3	3	NUM
gra-79	111	24	,	,	PUNCT
gra-79	111	25	the	the	DET
gra-79	111	26	execution	execution	NOUN
gra-79	111	27	time	time	NOUN
gra-79	111	28	of	of	ADP
gra-79	111	29	proposed	propose	VERB
gra-79	111	30	and	and	CCONJ
gra-79	111	31	existing	exist	VERB
gra-79	111	32	algorithm	algorithm	NOUN
gra-79	111	33	is	be	AUX
gra-79	111	34	shown	show	VERB
gra-79	111	35	.	.	PUNCT
gra-79	112	1	the	the	DET
gra-79	112	2	execution	execution	NOUN
gra-79	112	3	time	time	NOUN
gra-79	112	4	of	of	ADP
gra-79	112	5	proposed	propose	VERB
gra-79	112	6	algorithm	algorithm	NOUN
gra-79	112	7	is	be	AUX
gra-79	112	8	less	less	ADJ
gra-79	112	9	as	as	ADP
gra-79	112	10	compared	compare	VERB
gra-79	112	11	to	to	ADP
gra-79	112	12	existing	exist	VERB
gra-79	112	13	algorithm	algorithm	NOUN
gra-79	112	14	.	.	PUNCT
gra-79	113	1	3	3	X
gra-79	113	2	.	.	X
gra-79	113	3	cap	cap	NOUN
gra-79	113	4	analysis	analysis	NOUN
gra-79	113	5	:	:	PUNCT
gra-79	113	6	-a	-a	X
gra-79	113	7	canonical	canonical	ADJ
gra-79	113	8	analysis	analysis	NOUN
gra-79	113	9	on	on	ADP
gra-79	113	10	the	the	DET
gra-79	113	11	principal	principal	ADJ
gra-79	113	12	coordinates	coordinate	NOUN
gra-79	113	13	for	for	ADP
gra-79	113	14	any	any	DET
gra-79	113	15	resemblance	resemblance	ADJ
gra-79	113	16	matrix	matrix	NOUN
gra-79	113	17	,	,	PUNCT
gra-79	113	18	including	include	VERB
gra-79	113	19	a	a	DET
gra-79	113	20	permutation	permutation	NOUN
gra-79	113	21	test	test	NOUN
gra-79	113	22	.	.	PUNCT
gra-79	114	1	cap	cap	NOUN
gra-79	114	2	takes	take	VERB
gra-79	114	3	into	into	ADP
gra-79	114	4	consideration	consideration	NOUN
gra-79	114	5	the	the	DET
gra-79	114	6	structure	structure	NOUN
gra-79	114	7	of	of	ADP
gra-79	114	8	the	the	DET
gra-79	114	9	data	datum	NOUN
gra-79	114	10	.	.	PUNCT
gra-79	115	1	so	so	ADV
gra-79	115	2	,	,	PUNCT
gra-79	115	3	it	it	PRON
gra-79	115	4	is	be	AUX
gra-79	115	5	more	more	ADV
gra-79	115	6	likely	likely	ADJ
gra-79	115	7	to	to	PART
gra-79	115	8	separate	separate	VERB
gra-79	115	9	your	your	PRON
gra-79	115	10	different	different	ADJ
gra-79	115	11	levels	level	NOUN
gra-79	115	12	if	if	SCONJ
gra-79	115	13	there	there	PRON
gra-79	115	14	is	be	VERB
gra-79	115	15	no	no	DET
gra-79	115	16	strong	strong	ADJ
gra-79	115	17	difference	difference	NOUN
gra-79	115	18	and	and	CCONJ
gra-79	115	19	is	be	AUX
gra-79	115	20	good	good	ADJ
gra-79	115	21	to	to	PART
gra-79	115	22	show	show	VERB
gra-79	115	23	the	the	DET
gra-79	115	24	interaction	interaction	NOUN
gra-79	115	25	between	between	ADP
gra-79	115	26	factors	factor	NOUN
gra-79	115	27	.	.	PUNCT
gra-79	116	1	fig	fig	NOUN
gra-79	116	2	3	3	NUM
gra-79	116	3	:	:	PUNCT
gra-79	116	4	cap	cap	VERB
gra-79	116	5	analysis	analysis	NOUN
gra-79	116	6	as	as	SCONJ
gra-79	116	7	shown	show	VERB
gra-79	116	8	in	in	ADP
gra-79	116	9	gure	gure	NOUN
gra-79	116	10	3	3	NUM
gra-79	116	11	,	,	PUNCT
gra-79	116	12	the	the	DET
gra-79	116	13	cap	cap	NOUN
gra-79	116	14	analysis	analysis	NOUN
gra-79	116	15	is	be	AUX
gra-79	116	16	shown	show	VERB
gra-79	116	17	in	in	ADP
gra-79	116	18	this	this	DET
gra-79	116	19	gure	gure	NOUN
gra-79	116	20	.	.	PUNCT
gra-79	117	1	on	on	ADP
gra-79	117	2	the	the	DET
gra-79	117	3	axis	axis	NOUN
gra-79	117	4	of	of	ADP
gra-79	117	5	this	this	DET
gra-79	117	6	cure	cure	NOUN
gra-79	117	7	the	the	DET
gra-79	117	8	training	training	NOUN
gra-79	117	9	dataset	dataset	NOUN
gra-79	117	10	is	be	AUX
gra-79	117	11	given	give	VERB
gra-79	117	12	as	as	ADP
gra-79	117	13	input	input	NOUN
gra-79	117	14	and	and	CCONJ
gra-79	117	15	on	on	ADP
gra-79	117	16	the	the	DET
gra-79	117	17	y	y	NOUN
gra-79	117	18	-	-	PUNCT
gra-79	117	19	axis	axis	NOUN
gra-79	117	20	the	the	DET
gra-79	117	21	test	test	NOUN
gra-79	117	22	data	datum	NOUN
gra-79	117	23	is	be	AUX
gra-79	117	24	given	give	VERB
gra-79	117	25	as	as	ADP
gra-79	117	26	input	input	NOUN
gra-79	117	27	.	.	PUNCT
gra-79	118	1	the	the	DET
gra-79	118	2	blue	blue	ADJ
gra-79	118	3	line	line	NOUN
gra-79	118	4	shows	show	VERB
gra-79	118	5	that	that	SCONJ
gra-79	118	6	cap	cap	NOUN
gra-79	118	7	curve	curve	NOUN
gra-79	118	8	which	which	PRON
gra-79	118	9	represents	represent	VERB
gra-79	118	10	accuracy	accuracy	NOUN
gra-79	118	11	of	of	ADP
gra-79	118	12	the	the	DET
gra-79	118	13	classier	classier	PROPN
gra-79	118	14	.	.	PUNCT
gra-79	119	1	conclusion	conclusion	NOUN
gra-79	119	2	the	the	DET
gra-79	119	3	relevant	relevant	ADJ
gra-79	119	4	information	information	NOUN
gra-79	119	5	is	be	AUX
gra-79	119	6	fetched	fetch	VERB
gra-79	119	7	from	from	ADP
gra-79	119	8	rough	rough	ADJ
gra-79	119	9	dataset	dataset	NOUN
gra-79	119	10	using	use	VERB
gra-79	119	11	data	datum	NOUN
gra-79	119	12	mining	mining	NOUN
gra-79	119	13	technique	technique	NOUN
gra-79	119	14	.	.	PUNCT
gra-79	120	1	the	the	DET
gra-79	120	2	similar	similar	ADJ
gra-79	120	3	and	and	CCONJ
gra-79	120	4	dissimilar	dissimilar	ADJ
gra-79	120	5	data	datum	NOUN
gra-79	120	6	is	be	AUX
gra-79	120	7	clustered	cluster	VERB
gra-79	120	8	after	after	ADP
gra-79	120	9	calculating	calculate	VERB
gra-79	120	10	a	a	DET
gra-79	120	11	similarity	similarity	NOUN
gra-79	120	12	between	between	ADP
gra-79	120	13	input	input	NOUN
gra-79	120	14	dataset	dataset	NOUN
gra-79	120	15	.	.	PUNCT
gra-79	121	1	the	the	DET
gra-79	121	2	svm	svm	PROPN
gra-79	121	3	used	use	VERB
gra-79	121	4	to	to	PART
gra-79	121	5	classify	classify	VERB
gra-79	121	6	both	both	CCONJ
gra-79	121	7	similar	similar	ADJ
gra-79	121	8	and	and	CCONJ
gra-79	121	9	dissimilar	dissimilar	ADJ
gra-79	121	10	data	datum	NOUN
gra-79	121	11	type	type	NOUN
gra-79	121	12	in	in	ADP
gra-79	121	13	which	which	PRON
gra-79	121	14	central	central	ADJ
gra-79	121	15	point	point	NOUN
gra-79	121	16	is	be	AUX
gra-79	121	17	calculated	calculate	VERB
gra-79	121	18	by	by	ADP
gra-79	121	19	calculating	calculate	VERB
gra-79	121	20	an	an	DET
gra-79	121	21	arithmetic	arithmetic	ADJ
gra-79	121	22	mean	mean	NOUN
gra-79	121	23	of	of	ADP
gra-79	121	24	the	the	DET
gra-79	121	25	dataset	dataset	NOUN
gra-79	121	26	.	.	PUNCT
gra-79	122	1	the	the	DET
gra-79	122	2	central	central	ADJ
gra-79	122	3	point	point	NOUN
gra-79	122	4	calculated	calculate	VERB
gra-79	122	5	euclidian	euclidian	ADJ
gra-79	122	6	distance	distance	NOUN
gra-79	122	7	is	be	AUX
gra-79	122	8	used	use	VERB
gra-79	122	9	to	to	PART
gra-79	122	10	calculate	calculate	VERB
gra-79	122	11	a	a	DET
gra-79	122	12	similarity	similarity	NOUN
gra-79	122	13	between	between	ADP
gra-79	122	14	different	different	ADJ
gra-79	122	15	data	datum	NOUN
gra-79	122	16	points	point	NOUN
gra-79	122	17	.	.	PUNCT
gra-79	123	1	according	accord	VERB
gra-79	123	2	to	to	ADP
gra-79	123	3	the	the	DET
gra-79	123	4	type	type	NOUN
gra-79	123	5	of	of	ADP
gra-79	123	6	input	input	NOUN
gra-79	123	7	dataset	dataset	VERB
gra-79	123	8	a	a	DET
gra-79	123	9	clustered	clustered	ADJ
gra-79	123	10	data	data	NOUN
gra-79	123	11	is	be	AUX
gra-79	123	12	classied	classied	PROPN
gra-79	123	13	using	use	VERB
gra-79	123	14	svm	svm	PROPN
gra-79	123	15	classier	classier	PROPN
gra-79	123	16	scheme	scheme	NOUN
gra-79	123	17	.	.	PUNCT
gra-79	124	1	in	in	ADP
gra-79	124	2	this	this	DET
gra-79	124	3	research	research	NOUN
gra-79	124	4	work	work	NOUN
gra-79	124	5	back	back	NOUN
gra-79	124	6	propagation	propagation	NOUN
gra-79	124	7	algorithm	algorithm	NOUN
gra-79	124	8	is	be	AUX
gra-79	124	9	applied	apply	VERB
gra-79	124	10	with	with	ADP
gra-79	124	11	svm	svm	PROPN
gra-79	124	12	classier	classier	PROPN
gra-79	124	13	to	to	PART
gra-79	124	14	increase	increase	VERB
gra-79	124	15	accuracy	accuracy	NOUN
gra-79	124	16	of	of	ADP
gra-79	124	17	prediction	prediction	NOUN
gra-79	124	18	.	.	PUNCT
gra-79	125	1	the	the	DET
gra-79	125	2	proposed	propose	VERB
gra-79	125	3	algorithm	algorithm	NOUN
gra-79	125	4	performs	perform	VERB
gra-79	125	5	well	well	ADV
gra-79	125	6	in	in	ADP
gra-79	125	7	terms	term	NOUN
gra-79	125	8	of	of	ADP
gra-79	125	9	accuracy	accuracy	NOUN
gra-79	125	10	and	and	CCONJ
gra-79	125	11	execution	execution	NOUN
gra-79	125	12	time	time	NOUN
gra-79	125	13	.	.	PUNCT
gra-79	126	1	in	in	ADP
gra-79	126	2	future	future	ADJ
gra-79	126	3	proposed	propose	VERB
gra-79	126	4	technique	technique	NOUN
gra-79	126	5	will	will	AUX
gra-79	126	6	be	be	AUX
gra-79	126	7	further	far	ADV
gra-79	126	8	improved	improve	VERB
gra-79	126	9	to	to	PART
gra-79	126	10	design	design	VERB
gra-79	126	11	hybrid	hybrid	ADJ
gra-79	126	12	classier	classier	PROPN
gra-79	126	13	for	for	ADP
gra-79	126	14	the	the	DET
gra-79	126	15	heart	heart	NOUN
gra-79	126	16	disease	disease	NOUN
gra-79	126	17	prediction	prediction	NOUN
gra-79	126	18	.	.	PUNCT
gra-79	127	1	references	reference	NOUN
gra-79	127	2	[	[	X
gra-79	127	3	1	1	NUM
gra-79	127	4	]	]	PUNCT
gra-79	127	5	yanhui	yanhui	PROPN
gra-79	127	6	sun	sun	PROPN
gra-79	127	7	,	,	PUNCT
gra-79	127	8	liying	liye	VERB
gra-79	127	9	fang	fang	NOUN
gra-79	127	10	and	and	CCONJ
gra-79	127	11	pu	pu	PROPN
gra-79	127	12	wang	wang	PROPN
gra-79	127	13	,	,	PUNCT
gra-79	127	14	improved	improve	VERB
gra-79	127	15	k	k	PROPN
gra-79	127	16	-	-	PUNCT
gra-79	127	17	means	means	NOUN
gra-79	127	18	clustering	clustering	NOUN
gra-79	127	19	based	base	VERB
gra-79	127	20	on	on	ADP
gra-79	127	21	efros	efros	PROPN
gra-79	127	22	distance	distance	NOUN
gra-79	127	23	for	for	ADP
gra-79	127	24	longitudinal	longitudinal	ADJ
gra-79	127	25	data	datum	NOUN
gra-79	127	26	,	,	PUNCT
gra-79	127	27	2016	2016	NUM
gra-79	127	28	chinese	chinese	ADJ
gra-79	127	29	control	control	NOUN
gra-79	127	30	and	and	CCONJ
gra-79	127	31	decision	decision	NOUN
gra-79	127	32	conference	conference	NOUN
gra-79	127	33	(	(	PUNCT
gra-79	127	34	ccdc	ccdc	PROPN
gra-79	127	35	)	)	PUNCT
gra-79	127	36	,	,	PUNCT
gra-79	127	37	vol	vol	NOUN
gra-79	127	38	.	.	PROPN
gra-79	127	39	11	11	NUM
gra-79	127	40	,	,	PUNCT
gra-79	127	41	issue	issue	NOUN
gra-79	127	42	3	3	NUM
gra-79	127	43	,	,	PUNCT
gra-79	127	44	pp	pp	ADJ
gra-79	127	45	.	.	PUNCT
gra-79	128	1	12	12	NUM
gra-79	128	2	-	-	SYM
gra-79	128	3	23	23	NUM
gra-79	128	4	,	,	PUNCT
gra-79	128	5	2016	2016	NUM
gra-79	128	6	.	.	PUNCT
gra-79	129	1	[	[	X
gra-79	129	2	2	2	NUM
gra-79	129	3	]	]	PUNCT
gra-79	129	4	shunye	shunye	PROPN
gra-79	129	5	wang	wang	PROPN
gra-79	129	6	,	,	PUNCT
gra-79	129	7	improved	improve	VERB
gra-79	129	8	k	k	PROPN
gra-79	129	9	-	-	PUNCT
gra-79	129	10	means	mean	VERB
gra-79	129	11	clustering	cluster	VERB
gra-79	129	12	algorithm	algorithm	NOUN
gra-79	129	13	based	base	VERB
gra-79	129	14	on	on	ADP
gra-79	129	15	the	the	DET
gra-79	129	16	optimized	optimize	VERB
gra-79	129	17	initial	initial	ADJ
gra-79	129	18	centroids	centroid	NOUN
gra-79	129	19	,	,	PUNCT
gra-79	129	20	2013	2013	NUM
gra-79	129	21	3rd	3rd	ADJ
gra-79	129	22	international	international	ADJ
gra-79	129	23	conference	conference	NOUN
gra-79	129	24	on	on	ADP
gra-79	129	25	computer	computer	NOUN
gra-79	129	26	science	science	NOUN
gra-79	129	27	and	and	CCONJ
gra-79	129	28	network	network	NOUN
gra-79	129	29	technology	technology	NOUN
gra-79	129	30	(	(	PUNCT
gra-79	129	31	iccsnt	iccsnt	PROPN
gra-79	129	32	)	)	PUNCT
gra-79	129	33	,	,	PUNCT
gra-79	129	34	vol	vol	NOUN
gra-79	129	35	.	.	PROPN
gra-79	129	36	11	11	NUM
gra-79	129	37	,	,	PUNCT
gra-79	129	38	issue	issue	NOUN
gra-79	129	39	3	3	NUM
gra-79	129	40	,	,	PUNCT
gra-79	129	41	pp	pp	ADJ
gra-79	129	42	.	.	PUNCT
gra-79	130	1	12	12	NUM
gra-79	130	2	-	-	SYM
gra-79	130	3	23	23	NUM
gra-79	130	4	,	,	PUNCT
gra-79	130	5	2013	2013	NUM
gra-79	130	6	.	.	PUNCT
gra-79	131	1	[	[	X
gra-79	131	2	3	3	NUM
gra-79	131	3	]	]	X
gra-79	131	4	phattharatsongthung	phattharatsongthung	NOUN
gra-79	131	5	and	and	CCONJ
gra-79	131	6	kunwadeesripanidkulchai	kunwadeesripanidkulchai	PROPN
gra-79	131	7	,	,	PUNCT
gra-79	131	8	improving	improve	VERB
gra-79	131	9	type	type	NOUN
gra-79	131	10	2	2	NUM
gra-79	131	11	diabetes	diabetes	NOUN
gra-79	131	12	mellitus	mellitus	NOUN
gra-79	131	13	risk	risk	NOUN
gra-79	131	14	prediction	prediction	NOUN
gra-79	131	15	using	use	VERB
gra-79	131	16	classication	classication	NOUN
gra-79	131	17	,	,	PUNCT
gra-79	131	18	2016	2016	NUM
gra-79	131	19	13th	13th	NOUN
gra-79	131	20	international	international	ADJ
gra-79	131	21	joint	joint	ADJ
gra-79	131	22	conference	conference	NOUN
gra-79	131	23	on	on	ADP
gra-79	131	24	computer	computer	NOUN
gra-79	131	25	science	science	NOUN
gra-79	131	26	and	and	CCONJ
gra-79	131	27	software	software	NOUN
gra-79	131	28	engineering	engineering	NOUN
gra-79	131	29	(	(	PUNCT
gra-79	131	30	jcsse	jcsse	NOUN
gra-79	131	31	)	)	PUNCT
gra-79	131	32	,	,	PUNCT
gra-79	131	33	vol	vol	NOUN
gra-79	131	34	.	.	PROPN
gra-79	131	35	11	11	NUM
gra-79	131	36	,	,	PUNCT
gra-79	131	37	issue	issue	NOUN
gra-79	131	38	3	3	NUM
gra-79	131	39	,	,	PUNCT
gra-79	131	40	pp	pp	ADJ
gra-79	131	41	.	.	PUNCT
gra-79	132	1	12	12	NUM
gra-79	132	2	-	-	SYM
gra-79	132	3	23	23	NUM
gra-79	132	4	,	,	PUNCT
gra-79	132	5	2016	2016	NUM
gra-79	132	6	.	.	PUNCT
gra-79	133	1	[	[	X
gra-79	133	2	4	4	X
gra-79	133	3	]	]	PUNCT
gra-79	133	4	jiawei	jiawei	PROPN
gra-79	133	5	han	han	PROPN
gra-79	133	6	,	,	PUNCT
gra-79	133	7	michelinekamber	michelinekamber	PROPN
gra-79	133	8	,	,	PUNCT
gra-79	133	9	“	"	PUNCT
gra-79	133	10	data	data	NOUN
gra-79	133	11	mining	mining	NOUN
gra-79	133	12	:	:	PUNCT
gra-79	133	13	concepts	concept	NOUN
gra-79	133	14	and	and	CCONJ
gra-79	133	15	techniques	technique	NOUN
gra-79	133	16	”	"	PUNCT
gra-79	133	17	,	,	PUNCT
gra-79	133	18	vol	vol	NOUN
gra-79	133	19	.	.	PROPN
gra-79	134	1	3	3	NUM
gra-79	134	2	,	,	PUNCT
gra-79	134	3	pp	pp	ADJ
gra-79	134	4	.	.	PUNCT
gra-79	135	1	1	1	NUM
gra-79	135	2	-	-	SYM
gra-79	135	3	31	31	NUM
gra-79	135	4	,	,	PUNCT
gra-79	135	5	2000	2000	NUM
gra-79	135	6	.	.	PUNCT
gra-79	136	1	[	[	X
gra-79	136	2	5	5	X
gra-79	136	3	]	]	X
gra-79	136	4	ms	ms	PROPN
gra-79	136	5	.	.	PROPN
gra-79	136	6	tejaswini	tejaswini	PROPN
gra-79	136	7	u.	u.	PROPN
gra-79	136	8	mane	mane	PROPN
gra-79	136	9	,	,	PUNCT
gra-79	136	10	“	"	PUNCT
gra-79	136	11	smart	smart	ADJ
gra-79	136	12	heart	heart	NOUN
gra-79	136	13	disease	disease	NOUN
gra-79	136	14	prediction	prediction	NOUN
gra-79	136	15	system	system	NOUN
gra-79	136	16	using	use	VERB
gra-79	136	17	improved	improved	ADJ
gra-79	136	18	k	k	NOUN
gra-79	136	19	-	-	PUNCT
gra-79	136	20	means	means	NOUN
gra-79	136	21	and	and	CCONJ
gra-79	136	22	id3	id3	VERB
gra-79	136	23	on	on	ADP
gra-79	136	24	big	big	ADJ
gra-79	136	25	data	datum	NOUN
gra-79	136	26	”	"	PUNCT
gra-79	136	27	,	,	PUNCT
gra-79	136	28	2017	2017	NUM
gra-79	136	29	international	international	ADJ
gra-79	136	30	conference	conference	NOUN
gra-79	136	31	on	on	ADP
gra-79	136	32	data	datum	NOUN
gra-79	136	33	management	management	NOUN
gra-79	136	34	,	,	PUNCT
gra-79	136	35	analytics	analytic	NOUN
gra-79	136	36	and	and	CCONJ
gra-79	136	37	innovation	innovation	NOUN
gra-79	136	38	(	(	PUNCT
gra-79	136	39	icdmai	icdmai	PROPN
gra-79	136	40	)	)	PUNCT
gra-79	136	41	,	,	PUNCT
gra-79	136	42	vol	vol	NOUN
gra-79	136	43	.	.	PROPN
gra-79	136	44	8	8	NUM
gra-79	136	45	,	,	PUNCT
gra-79	136	46	issue	issue	NOUN
gra-79	136	47	11	11	NUM
gra-79	136	48	,	,	PUNCT
gra-79	136	49	pp	pp	ADJ
gra-79	136	50	.	.	PUNCT
gra-79	137	1	123	123	NUM
gra-79	137	2	-	-	SYM
gra-79	137	3	148	148	NUM
gra-79	137	4	,	,	PUNCT
gra-79	137	5	2017	2017	NUM
gra-79	137	6	.	.	PUNCT
gra-79	138	1	[	[	X
gra-79	138	2	6	6	NUM
gra-79	138	3	]	]	X
gra-79	138	4	sellappanpalaniappan	sellappanpalaniappan	NOUN
gra-79	138	5	,	,	PUNCT
gra-79	138	6	raahawang	raahawang	NOUN
gra-79	138	7	,	,	PUNCT
gra-79	138	8	“	"	PUNCT
gra-79	138	9	intelligent	intelligent	ADJ
gra-79	138	10	heart	heart	NOUN
gra-79	138	11	disease	disease	NOUN
gra-79	138	12	prediction	prediction	NOUN
gra-79	138	13	system	system	NOUN
gra-79	138	14	using	use	VERB
gra-79	138	15	data	datum	NOUN
gra-79	138	16	mining	mining	NOUN
gra-79	138	17	techniques	technique	NOUN
gra-79	138	18	”	"	PUNCT
gra-79	138	19	,	,	PUNCT
gra-79	138	20	vol	vol	NOUN
gra-79	138	21	.	.	PROPN
gra-79	138	22	5	5	NUM
gra-79	138	23	,	,	PUNCT
gra-79	138	24	issue	issue	NOUN
gra-79	138	25	1	1	NUM
gra-79	138	26	,	,	PUNCT
gra-79	138	27	pp	pp	ADJ
gra-79	138	28	.	.	PUNCT
gra-79	139	1	1328	1328	NUM
gra-79	139	2	,	,	PUNCT
gra-79	139	3	2008	2008	NUM
gra-79	139	4	.	.	PUNCT
gra-79	140	1	[	[	X
gra-79	140	2	7	7	NUM
gra-79	140	3	]	]	X
gra-79	140	4	kanikapahwa	kanikapahwa	PROPN
gra-79	140	5	,	,	PUNCT
gra-79	140	6	ravinder	ravinder	PROPN
gra-79	140	7	kumar	kumar	PROPN
gra-79	140	8	,	,	PUNCT
gra-79	140	9	“	"	PUNCT
gra-79	140	10	prediction	prediction	NOUN
gra-79	140	11	of	of	ADP
gra-79	140	12	heart	heart	NOUN
gra-79	140	13	disease	disease	NOUN
gra-79	140	14	using	use	VERB
gra-79	140	15	hybrid	hybrid	ADJ
gra-79	140	16	technique	technique	NOUN
gra-79	140	17	for	for	ADP
gra-79	140	18	selecting	select	VERB
gra-79	140	19	features	feature	NOUN
gra-79	140	20	”	"	PUNCT
gra-79	140	21	,	,	PUNCT
gra-79	140	22	2017	2017	NUM
gra-79	140	23	4th	4th	ADJ
gra-79	140	24	ieee	ieee	PROPN
gra-79	140	25	uttar	uttar	PROPN
gra-79	140	26	pradesh	pradesh	PROPN
gra-79	140	27	section	section	PROPN
gra-79	140	28	international	international	ADJ
gra-79	140	29	conference	conference	NOUN
gra-79	140	30	on	on	ADP
gra-79	140	31	electrical	electrical	ADJ
gra-79	140	32	,	,	PUNCT
gra-79	140	33	computer	computer	NOUN
gra-79	140	34	and	and	CCONJ
gra-79	140	35	electronics	electronic	NOUN
gra-79	140	36	(	(	PUNCT
gra-79	140	37	upcon	upcon	NOUN
gra-79	140	38	)	)	PUNCT
gra-79	140	39	,	,	PUNCT
gra-79	140	40	vol	vol	NOUN
gra-79	140	41	.	.	PROPN
gra-79	140	42	4	4	NUM
gra-79	140	43	,	,	PUNCT
gra-79	140	44	issue	issue	NOUN
gra-79	140	45	5	5	NUM
gra-79	140	46	,	,	PUNCT
gra-79	140	47	pp	pp	ADJ
gra-79	140	48	.	.	PUNCT
gra-79	141	1	23	23	NUM
gra-79	141	2	-	-	SYM
gra-79	141	3	48	48	NUM
gra-79	141	4	,	,	PUNCT
gra-79	141	5	2017	2017	NUM
gra-79	141	6	.	.	PUNCT
gra-79	142	1	[	[	X
gra-79	142	2	8	8	NUM
gra-79	142	3	]	]	PUNCT
gra-79	142	4	bayuadhi	bayuadhi	NOUN
gra-79	142	5	tama,1	tama,1	NOUN
gra-79	142	6	afriyan	afriyan	X
gra-79	142	7	firdaus,2	firdaus,2	NOUN
gra-79	142	8	rodiyatul	rodiyatul	NOUN
gra-79	142	9	fs	fs	ADP
gra-79	142	10	,	,	PUNCT
gra-79	142	11	“	"	PUNCT
gra-79	142	12	detection	detection	NOUN
gra-79	142	13	of	of	ADP
gra-79	142	14	type	type	NOUN
gra-79	142	15	2	2	NUM
gra-79	142	16	diabetes	diabetes	NOUN
gra-79	142	17	mellitus	mellitus	NOUN
gra-79	142	18	with	with	ADP
gra-79	142	19	data	datum	NOUN
gra-79	142	20	mining	mining	NOUN
gra-79	142	21	approach	approach	NOUN
gra-79	142	22	using	use	VERB
gra-79	142	23	support	support	NOUN
gra-79	142	24	vector	vector	NOUN
gra-79	142	25	machine	machine	NOUN
gra-79	142	26	”	"	PUNCT
gra-79	142	27	,	,	PUNCT
gra-79	142	28	vol	vol	NOUN
gra-79	142	29	.	.	PROPN
gra-79	142	30	11	11	NUM
gra-79	142	31	,	,	PUNCT
gra-79	142	32	issue	issue	NOUN
gra-79	142	33	3	3	NUM
gra-79	142	34	,	,	PUNCT
gra-79	142	35	pp	pp	ADJ
gra-79	142	36	.	.	PUNCT
gra-79	143	1	12	12	NUM
gra-79	143	2	-	-	SYM
gra-79	143	3	23	23	NUM
gra-79	143	4	,	,	PUNCT
gra-79	143	5	2008	2008	NUM
gra-79	143	6	.	.	PUNCT
gra-79	144	1	[	[	X
gra-79	144	2	9	9	NUM
gra-79	144	3	]	]	X
gra-79	144	4	yu	yu	PROPN
gra-79	144	5	-	-	PROPN
gra-79	144	6	xuan	xuan	PROPN
gra-79	144	7	wang	wang	PROPN
gra-79	144	8	,	,	PUNCT
gra-79	144	9	qihui	qihui	PROPN
gra-79	144	10	sun	sun	PROPN
gra-79	144	11	,	,	PUNCT
gra-79	144	12	ting	ting	PROPN
gra-79	144	13	-	-	PUNCT
gra-79	144	14	ying	ying	PROPN
gra-79	144	15	chien	chien	PROPN
gra-79	144	16	,	,	PUNCT
gra-79	144	17	po	po	PROPN
gra-79	144	18	-	-	PUNCT
gra-79	144	19	chun	chun	PROPN
gra-79	144	20	huang	huang	PROPN
gra-79	144	21	,	,	PUNCT
gra-79	144	22	“	"	PUNCT
gra-79	144	23	using	use	VERB
gra-79	144	24	data	data	NOUN
gra-79	144	25	mining	mining	NOUN
gra-79	144	26	and	and	CCONJ
gra-79	144	27	machine	machine	NOUN
gra-79	144	28	learning	learn	VERB
gra-79	144	29	techniques	technique	NOUN
gra-79	144	30	for	for	ADP
gra-79	144	31	system	system	NOUN
gra-79	144	32	design	design	NOUN
gra-79	144	33	space	space	NOUN
gra-79	144	34	exploration	exploration	NOUN
gra-79	144	35	and	and	CCONJ
gra-79	144	36	automatized	automatize	VERB
gra-79	144	37	optimization	optimization	NOUN
gra-79	144	38	”	"	PUNCT
gra-79	144	39	,	,	PUNCT
gra-79	144	40	proceedings	proceeding	NOUN
gra-79	144	41	of	of	ADP
gra-79	144	42	the	the	DET
gra-79	144	43	2017	2017	NUM
gra-79	144	44	ieee	ieee	NOUN
gra-79	144	45	international	international	ADJ
gra-79	144	46	conference	conference	NOUN
gra-79	144	47	on	on	ADP
gra-79	144	48	applied	apply	VERB
gra-79	144	49	system	system	NOUN
gra-79	144	50	innovation	innovation	NOUN
gra-79	144	51	,	,	PUNCT
gra-79	144	52	vol	vol	NOUN
gra-79	144	53	.	.	PROPN
gra-79	144	54	15	15	NUM
gra-79	144	55	,	,	PUNCT
gra-79	144	56	pp	pp	ADJ
gra-79	144	57	.	.	PUNCT
gra-79	145	1	1079	1079	NUM
gra-79	145	2	x	x	SYM
gra-79	145	3	115gjra	115gjra	PROPN
gra-79	145	4	global	global	ADJ
gra-79	145	5	journal	journal	NOUN
gra-79	145	6	for	for	ADP
gra-79	145	7	research	research	NOUN
gra-79	145	8	analysis	analysis	NOUN
gra-79	145	9	volume-8	volume-8	NUM
gra-79	145	10	,	,	PUNCT
gra-79	145	11	issue-9	issue-9	NUM
gra-79	145	12	,	,	PUNCT
gra-79	145	13	september-2019	september-2019	ADJ
gra-79	145	14	•	•	NUM
gra-79	145	15	print	print	NOUN
gra-79	145	16	issn	issn	PROPN
gra-79	145	17	no	no	NOUN
gra-79	145	18	.	.	PROPN
gra-79	145	19	2277	2277	NUM
gra-79	145	20	8160	8160	NUM
gra-79	145	21	•	•	NOUN
gra-79	145	22	doi	doi	NOUN
gra-79	145	23	:	:	PUNCT
gra-79	145	24	10.36106	10.36106	NUM
gra-79	145	25	/	/	SYM
gra-79	145	26	gjra	gjra	NOUN
gra-79	145	27	1082	1082	NUM
gra-79	145	28	,	,	PUNCT
gra-79	145	29	2017	2017	NUM
gra-79	145	30	.	.	PUNCT
gra-79	146	1	[	[	X
gra-79	146	2	10	10	NUM
gra-79	146	3	]	]	X
gra-79	146	4	zhiqiangge	zhiqiangge	PROPN
gra-79	146	5	,	,	PUNCT
gra-79	146	6	zhihuan	zhihuan	NOUN
gra-79	146	7	song	song	NOUN
gra-79	146	8	,	,	PUNCT
gra-79	146	9	steven	steven	PROPN
gra-79	146	10	x.	x.	PROPN
gra-79	146	11	ding	ding	PROPN
gra-79	146	12	,	,	PUNCT
gra-79	146	13	biao	biao	PROPN
gra-79	146	14	huang	huang	PROPN
gra-79	146	15	,	,	PUNCT
gra-79	146	16	“	"	PUNCT
gra-79	146	17	data	data	NOUN
gra-79	146	18	mining	mining	NOUN
gra-79	146	19	and	and	CCONJ
gra-79	146	20	analytics	analytic	NOUN
gra-79	146	21	in	in	ADP
gra-79	146	22	the	the	DET
gra-79	146	23	process	process	NOUN
gra-79	146	24	industry	industry	NOUN
gra-79	146	25	:	:	PUNCT
gra-79	146	26	the	the	DET
gra-79	146	27	role	role	NOUN
gra-79	146	28	of	of	ADP
gra-79	146	29	machine	machine	NOUN
gra-79	146	30	learning	learning	NOUN
gra-79	146	31	”	"	PUNCT
gra-79	146	32	,	,	PUNCT
gra-79	146	33	2017	2017	NUM
gra-79	146	34	ieee	ieee	NOUN
gra-79	146	35	.	.	PUNCT
gra-79	147	1	translations	translation	NOUN
gra-79	147	2	and	and	CCONJ
gra-79	147	3	content	content	NOUN
gra-79	147	4	mining	mining	NOUN
gra-79	147	5	are	be	AUX
gra-79	147	6	permitted	permit	VERB
gra-79	147	7	for	for	ADP
gra-79	147	8	academic	academic	ADJ
gra-79	147	9	research	research	NOUN
gra-79	147	10	only	only	ADV
gra-79	147	11	,	,	PUNCT
gra-79	147	12	vol	vol	NOUN
gra-79	147	13	.	.	PROPN
gra-79	147	14	5	5	NUM
gra-79	147	15	,	,	PUNCT
gra-79	147	16	pp	pp	ADJ
gra-79	147	17	.	.	PUNCT
gra-79	148	1	20590	20590	NUM
gra-79	148	2	-	-	SYM
gra-79	148	3	20616	20616	NUM
gra-79	148	4	,	,	PUNCT
gra-79	148	5	2017	2017	NUM
gra-79	148	6	.	.	PUNCT
gra-79	149	1	[	[	X
gra-79	149	2	11	11	NUM
gra-79	149	3	]	]	PUNCT
gra-79	149	4	p.	p.	PROPN
gra-79	149	5	suresh	suresh	PROPN
gra-79	149	6	kumar	kumar	PROPN
gra-79	149	7	and	and	CCONJ
gra-79	149	8	v.	v.	ADP
gra-79	149	9	umatejaswi	umatejaswi	NOUN
gra-79	149	10	,	,	PUNCT
gra-79	149	11	“	"	PUNCT
gra-79	149	12	diagnosing	diagnose	VERB
gra-79	149	13	diabetes	diabetes	NOUN
gra-79	149	14	using	use	VERB
gra-79	149	15	data	datum	NOUN
gra-79	149	16	mining	mining	NOUN
gra-79	149	17	techniques	technique	NOUN
gra-79	149	18	”	"	PUNCT
gra-79	149	19	,	,	PUNCT
gra-79	149	20	international	international	ADJ
gra-79	149	21	journal	journal	NOUN
gra-79	149	22	of	of	ADP
gra-79	149	23	scientic	scientic	PROPN
gra-79	149	24	and	and	CCONJ
gra-79	149	25	research	research	NOUN
gra-79	149	26	publications	publication	NOUN
gra-79	149	27	,	,	PUNCT
gra-79	149	28	volume	volume	NOUN
gra-79	149	29	7	7	NUM
gra-79	149	30	,	,	PUNCT
gra-79	149	31	issue	issue	NOUN
gra-79	149	32	6	6	NUM
gra-79	149	33	,	,	PUNCT
gra-79	149	34	june	june	PROPN
gra-79	149	35	2017	2017	NUM
gra-79	149	36	.	.	PUNCT
gra-79	150	1	[	[	X
gra-79	150	2	12	12	NUM
gra-79	150	3	]	]	X
gra-79	150	4	han	han	PROPN
gra-79	150	5	wu	wu	PROPN
gra-79	150	6	,	,	PUNCT
gra-79	150	7	shengqi	shengqi	PROPN
gra-79	150	8	yang	yang	PROPN
gra-79	150	9	,	,	PUNCT
gra-79	150	10	zhangqin	zhangqin	PROPN
gra-79	150	11	huang	huang	PROPN
gra-79	150	12	,	,	PUNCT
gra-79	150	13	jian	jian	PROPN
gra-79	150	14	he	he	PRON
gra-79	150	15	,	,	PUNCT
gra-79	150	16	xiaoyi	xiaoyi	PROPN
gra-79	150	17	wang	wang	PROPN
gra-79	150	18	,	,	PUNCT
gra-79	150	19	“	"	PUNCT
gra-79	150	20	type	type	NOUN
gra-79	150	21	2	2	NUM
gra-79	150	22	diabetes	diabetes	NOUN
gra-79	150	23	mellitus	mellitus	NOUN
gra-79	150	24	prediction	prediction	NOUN
gra-79	150	25	model	model	NOUN
gra-79	150	26	based	base	VERB
gra-79	150	27	on	on	ADP
gra-79	150	28	data	data	NOUN
gra-79	150	29	mining	mining	NOUN
gra-79	150	30	”	"	PUNCT
gra-79	150	31	,	,	PUNCT
gra-79	150	32	sciencedirect	sciencedirect	PROPN
gra-79	150	33	,	,	PUNCT
gra-79	150	34	vol	vol	NOUN
gra-79	150	35	.	.	PROPN
gra-79	150	36	11	11	NUM
gra-79	150	37	,	,	PUNCT
gra-79	150	38	issue	issue	NOUN
gra-79	150	39	3	3	NUM
gra-79	150	40	,	,	PUNCT
gra-79	150	41	pp	pp	ADJ
gra-79	150	42	.	.	PUNCT
gra-79	151	1	12	12	NUM
gra-79	151	2	-	-	SYM
gra-79	151	3	23	23	NUM
gra-79	151	4	,	,	PUNCT
gra-79	151	5	2018	2018	NUM
gra-79	151	6	.	.	PUNCT
gra-79	152	1	[	[	X
gra-79	152	2	13	13	NUM
gra-79	152	3	]	]	X
gra-79	152	4	jahinmajumdar	jahinmajumdar	NOUN
gra-79	152	5	,	,	PUNCT
gra-79	152	6	anwesha	anwesha	PROPN
gra-79	152	7	mal	mal	PROPN
gra-79	152	8	,	,	PUNCT
gra-79	152	9	shruti	shruti	PROPN
gra-79	152	10	gupta	gupta	PROPN
gra-79	152	11	,	,	PUNCT
gra-79	152	12	“	"	PUNCT
gra-79	152	13	heuristic	heuristic	ADJ
gra-79	152	14	model	model	NOUN
gra-79	152	15	to	to	PART
gra-79	152	16	improve	improve	VERB
gra-79	152	17	feature	feature	NOUN
gra-79	152	18	selection	selection	NOUN
gra-79	152	19	based	base	VERB
gra-79	152	20	on	on	ADP
gra-79	152	21	machine	machine	NOUN
gra-79	152	22	learning	learning	NOUN
gra-79	152	23	in	in	ADP
gra-79	152	24	data	data	NOUN
gra-79	152	25	mining	mining	NOUN
gra-79	152	26	”	"	PUNCT
gra-79	152	27	,	,	PUNCT
gra-79	152	28	2016	2016	NUM
gra-79	152	29	6th	6th	ADJ
gra-79	152	30	international	international	ADJ
gra-79	152	31	conference	conference	NOUN
gra-79	152	32	cloud	cloud	NOUN
gra-79	152	33	system	system	NOUN
gra-79	152	34	and	and	CCONJ
gra-79	152	35	big	big	ADJ
gra-79	152	36	data	datum	NOUN
gra-79	152	37	engineering	engineering	NOUN
gra-79	152	38	(	(	PUNCT
gra-79	152	39	conuence	conuence	PROPN
gra-79	152	40	)	)	PUNCT
gra-79	152	41	,	,	PUNCT
gra-79	152	42	vol	vol	NOUN
gra-79	152	43	.	.	PROPN
gra-79	152	44	3	3	NUM
gra-79	152	45	,	,	PUNCT
gra-79	152	46	pp	pp	ADJ
gra-79	152	47	.	.	PUNCT
gra-79	153	1	73	73	NUM
gra-79	153	2	-	-	SYM
gra-79	153	3	77	77	NUM
gra-79	153	4	,	,	PUNCT
gra-79	153	5	2016	2016	NUM
gra-79	153	6	.	.	PUNCT
gra-79	154	1	116	116	NUM
gra-79	154	2	x	x	NOUN
gra-79	154	3	gjra	gjra	PROPN
gra-79	154	4	global	global	ADJ
gra-79	154	5	journal	journal	PROPN
gra-79	154	6	for	for	ADP
gra-79	154	7	research	research	NOUN
gra-79	154	8	analysis	analysis	NOUN
gra-79	154	9	volume-8	volume-8	NUM
gra-79	154	10	,	,	PUNCT
gra-79	154	11	issue-9	issue-9	NUM
gra-79	154	12	,	,	PUNCT
gra-79	154	13	september-2019	september-2019	ADJ
gra-79	154	14	•	•	NUM
gra-79	154	15	print	print	NOUN
gra-79	154	16	issn	issn	PROPN
gra-79	154	17	no	no	NOUN
gra-79	154	18	.	.	PROPN
gra-79	154	19	2277	2277	NUM
gra-79	154	20	8160	8160	NUM
gra-79	154	21	•	•	NOUN
gra-79	154	22	doi	doi	NOUN
gra-79	154	23	:	:	PUNCT
gra-79	154	24	10.36106	10.36106	NUM
gra-79	154	25	/	/	SYM
gra-79	154	26	gjra	gjra	NOUN