id	sid	tid	token	lemma	pos
gra-72	1	1	introduction	introduction	NOUN
gra-72	1	2	each	each	DET
gra-72	1	3	application	application	NOUN
gra-72	1	4	that	that	PRON
gra-72	1	5	is	be	AUX
gra-72	1	6	running	run	VERB
gra-72	1	7	today	today	NOUN
gra-72	1	8	requires	require	VERB
gra-72	1	9	large	large	ADJ
gra-72	1	10	size	size	NOUN
gra-72	1	11	of	of	ADP
gra-72	1	12	databases	database	NOUN
gra-72	1	13	such	such	ADJ
gra-72	1	14	that	that	DET
gra-72	1	15	huge	huge	ADJ
gra-72	1	16	amount	amount	NOUN
gra-72	1	17	of	of	ADP
gra-72	1	18	data	datum	NOUN
gra-72	1	19	that	that	PRON
gra-72	1	20	is	be	AUX
gra-72	1	21	being	be	AUX
gra-72	1	22	generated	generate	VERB
gra-72	1	23	within	within	ADP
gra-72	1	24	them	they	PRON
gra-72	1	25	can	can	AUX
gra-72	1	26	be	be	AUX
gra-72	1	27	stored	store	VERB
gra-72	1	28	in	in	ADP
gra-72	1	29	them	they	PRON
gra-72	1	30	.	.	PUNCT
gra-72	2	1	there	there	PRON
gra-72	2	2	is	be	VERB
gra-72	2	3	a	a	DET
gra-72	2	4	need	need	NOUN
gra-72	2	5	to	to	PART
gra-72	2	6	generate	generate	VERB
gra-72	2	7	new	new	ADJ
gra-72	2	8	and	and	CCONJ
gra-72	2	9	highly	highly	ADV
gra-72	2	10	efcient	efcient	ADJ
gra-72	2	11	tools	tool	NOUN
gra-72	2	12	which	which	PRON
gra-72	2	13	can	can	AUX
gra-72	2	14	manage	manage	VERB
gra-72	2	15	such	such	ADJ
gra-72	2	16	huge	huge	ADJ
gra-72	2	17	databases	database	NOUN
gra-72	2	18	and	and	CCONJ
gra-72	2	19	the	the	DET
gra-72	2	20	data	datum	NOUN
gra-72	2	21	present	present	ADJ
gra-72	2	22	within	within	ADP
gra-72	2	23	them	they	PRON
gra-72	2	24	.	.	PUNCT
gra-72	3	1	for	for	ADP
gra-72	3	2	facilitating	facilitate	VERB
gra-72	3	3	the	the	DET
gra-72	3	4	large	large	ADJ
gra-72	3	5	number	number	NOUN
gra-72	3	6	of	of	ADP
gra-72	3	7	users	user	NOUN
gra-72	3	8	as	as	ADV
gra-72	3	9	well	well	ADV
gra-72	3	10	as	as	ADP
gra-72	3	11	their	their	PRON
gra-72	3	12	applications	application	NOUN
gra-72	3	13	several	several	ADJ
gra-72	3	14	techniques	technique	NOUN
gra-72	3	15	have	have	AUX
gra-72	3	16	been	be	AUX
gra-72	3	17	proposed	propose	VERB
gra-72	3	18	by	by	ADP
gra-72	3	19	researchers	researcher	NOUN
gra-72	3	20	.	.	PUNCT
gra-72	4	1	amongst	amongst	ADP
gra-72	4	2	such	such	ADJ
gra-72	4	3	techniques	technique	NOUN
gra-72	4	4	is	be	AUX
gra-72	4	5	the	the	DET
gra-72	4	6	data	data	NOUN
gra-72	4	7	mining	mining	NOUN
gra-72	4	8	and	and	CCONJ
gra-72	4	9	knowledge	knowledge	NOUN
gra-72	4	10	discovery	discovery	NOUN
gra-72	4	11	approach	approach	NOUN
gra-72	4	12	that	that	PRON
gra-72	4	13	is	be	AUX
gra-72	4	14	used	use	VERB
gra-72	4	15	in	in	ADP
gra-72	4	16	order	order	NOUN
gra-72	4	17	to	to	PART
gra-72	4	18	manage	manage	VERB
gra-72	4	19	all	all	DET
gra-72	4	20	such	such	ADJ
gra-72	4	21	data	datum	NOUN
gra-72	4	22	.	.	PUNCT
gra-72	5	1	data	datum	NOUN
gra-72	5	2	mining	mining	NOUN
gra-72	5	3	is	be	AUX
gra-72	5	4	known	know	VERB
gra-72	5	5	as	as	ADP
gra-72	5	6	the	the	DET
gra-72	5	7	automated	automate	VERB
gra-72	5	8	approach	approach	NOUN
gra-72	5	9	of	of	ADP
gra-72	5	10	identifying	identify	VERB
gra-72	5	11	interesting	interesting	ADJ
gra-72	5	12	patterns	pattern	NOUN
gra-72	5	13	from	from	ADP
gra-72	5	14	huge	huge	ADJ
gra-72	5	15	databases	database	NOUN
gra-72	5	16	[	[	X
gra-72	5	17	1	1	NUM
gra-72	5	18	]	]	PUNCT
gra-72	5	19	.	.	PUNCT
gra-72	6	1	this	this	DET
gra-72	6	2	technique	technique	NOUN
gra-72	6	3	helps	help	VERB
gra-72	6	4	in	in	ADP
gra-72	6	5	generating	generate	VERB
gra-72	6	6	descriptive	descriptive	ADJ
gra-72	6	7	,	,	PUNCT
gra-72	6	8	understandable	understandable	ADJ
gra-72	6	9	and	and	CCONJ
gra-72	6	10	predictive	predictive	ADJ
gra-72	6	11	models	model	NOUN
gra-72	6	12	from	from	ADP
gra-72	6	13	the	the	DET
gra-72	6	14	existing	exist	VERB
gra-72	6	15	data	datum	NOUN
gra-72	6	16	within	within	ADP
gra-72	6	17	the	the	DET
gra-72	6	18	databases	database	NOUN
gra-72	6	19	.	.	PUNCT
gra-72	7	1	the	the	DET
gra-72	7	2	main	main	ADJ
gra-72	7	3	reason	reason	NOUN
gra-72	7	4	behind	behind	ADP
gra-72	7	5	the	the	DET
gra-72	7	6	development	development	NOUN
gra-72	7	7	of	of	ADP
gra-72	7	8	this	this	DET
gra-72	7	9	work	work	NOUN
gra-72	7	10	is	be	AUX
gra-72	7	11	to	to	PART
gra-72	7	12	store	store	VERB
gra-72	7	13	data	datum	NOUN
gra-72	7	14	which	which	PRON
gra-72	7	15	is	be	AUX
gra-72	7	16	generated	generate	VERB
gra-72	7	17	each	each	DET
gra-72	7	18	day	day	NOUN
gra-72	7	19	due	due	ADP
gra-72	7	20	to	to	ADP
gra-72	7	21	all	all	DET
gra-72	7	22	the	the	DET
gra-72	7	23	applications	application	NOUN
gra-72	7	24	has	have	AUX
gra-72	7	25	been	be	AUX
gra-72	7	26	utilized	utilize	VERB
gra-72	7	27	by	by	ADP
gra-72	7	28	humans	human	NOUN
gra-72	7	29	.	.	PUNCT
gra-72	8	1	in	in	ADP
gra-72	8	2	the	the	DET
gra-72	8	3	computer	computer	NOUN
gra-72	8	4	databases	database	NOUN
gra-72	8	5	,	,	PUNCT
gra-72	8	6	this	this	DET
gra-72	8	7	data	data	NOUN
gra-72	8	8	is	be	AUX
gra-72	8	9	stored	store	VERB
gra-72	8	10	so	so	SCONJ
gra-72	8	11	that	that	SCONJ
gra-72	8	12	it	it	PRON
gra-72	8	13	becomes	become	VERB
gra-72	8	14	easy	easy	ADJ
gra-72	8	15	to	to	PART
gra-72	8	16	access	access	VERB
gra-72	8	17	data	datum	NOUN
gra-72	8	18	whenever	whenever	SCONJ
gra-72	8	19	it	it	PRON
gra-72	8	20	is	be	AUX
gra-72	8	21	required	require	VERB
gra-72	8	22	.	.	PUNCT
gra-72	9	1	the	the	DET
gra-72	9	2	similar	similar	ADJ
gra-72	9	3	objects	object	NOUN
gra-72	9	4	are	be	AUX
gra-72	9	5	separated	separate	VERB
gra-72	9	6	from	from	ADP
gra-72	9	7	each	each	DET
gra-72	9	8	other	other	ADJ
gra-72	9	9	amongst	amongst	ADP
gra-72	9	10	different	different	ADJ
gra-72	9	11	groups	group	NOUN
gra-72	9	12	this	this	DET
gra-72	9	13	process	process	NOUN
gra-72	9	14	is	be	AUX
gra-72	9	15	known	know	VERB
gra-72	9	16	as	as	ADP
gra-72	9	17	clustering	cluster	VERB
gra-72	9	18	.	.	PUNCT
gra-72	10	1	cluster	cluster	NOUN
gra-72	10	2	is	be	AUX
gra-72	10	3	dened	dene	VERB
gra-72	10	4	as	as	ADP
gra-72	10	5	the	the	DET
gra-72	10	6	group	group	NOUN
gra-72	10	7	in	in	ADP
gra-72	10	8	which	which	PRON
gra-72	10	9	similar	similar	ADJ
gra-72	10	10	objects	object	NOUN
gra-72	10	11	are	be	AUX
gra-72	10	12	placed	place	VERB
gra-72	10	13	within	within	ADP
gra-72	10	14	the	the	DET
gra-72	10	15	same	same	ADJ
gra-72	10	16	group	group	NOUN
gra-72	10	17	[	[	X
gra-72	10	18	2	2	NUM
gra-72	10	19	]	]	PUNCT
gra-72	10	20	.	.	PUNCT
gra-72	11	1	similarly	similarly	ADV
gra-72	11	2	,	,	PUNCT
gra-72	11	3	objects	object	VERB
gra-72	11	4	having	have	VERB
gra-72	11	5	different	different	ADJ
gra-72	11	6	properties	property	NOUN
gra-72	11	7	and	and	CCONJ
gra-72	11	8	are	be	AUX
gra-72	11	9	dissimilar	dissimilar	ADJ
gra-72	11	10	with	with	ADP
gra-72	11	11	each	each	DET
gra-72	11	12	other	other	ADJ
gra-72	11	13	are	be	AUX
gra-72	11	14	placed	place	VERB
gra-72	11	15	in	in	ADP
gra-72	11	16	separate	separate	ADJ
gra-72	11	17	cluster	cluster	NOUN
gra-72	11	18	.	.	PUNCT
gra-72	12	1	the	the	DET
gra-72	12	2	representation	representation	NOUN
gra-72	12	3	of	of	ADP
gra-72	12	4	data	datum	NOUN
gra-72	12	5	using	use	VERB
gra-72	12	6	less	less	ADJ
gra-72	12	7	clusters	cluster	NOUN
gra-72	12	8	leads	lead	VERB
gra-72	12	9	to	to	ADP
gra-72	12	10	loss	loss	NOUN
gra-72	12	11	of	of	ADP
gra-72	12	12	essential	essential	ADJ
gra-72	12	13	information	information	NOUN
gra-72	12	14	.	.	PUNCT
gra-72	13	1	with	with	ADP
gra-72	13	2	the	the	DET
gra-72	13	3	help	help	NOUN
gra-72	13	4	of	of	ADP
gra-72	13	5	this	this	DET
gra-72	13	6	approach	approach	NOUN
gra-72	13	7	,	,	PUNCT
gra-72	13	8	it	it	PRON
gra-72	13	9	becomes	become	VERB
gra-72	13	10	easy	easy	ADJ
gra-72	13	11	to	to	PART
gra-72	13	12	simply	simply	ADV
gra-72	13	13	data	datum	NOUN
gra-72	13	14	in	in	ADP
gra-72	13	15	controlled	control	VERB
gra-72	13	16	manner	manner	NOUN
gra-72	13	17	.	.	PUNCT
gra-72	14	1	in	in	ADP
gra-72	14	2	the	the	DET
gra-72	14	3	databases	database	NOUN
gra-72	14	4	large	large	ADJ
gra-72	14	5	amount	amount	NOUN
gra-72	14	6	of	of	ADP
gra-72	14	7	data	datum	NOUN
gra-72	14	8	is	be	AUX
gra-72	14	9	present	present	ADJ
gra-72	14	10	which	which	PRON
gra-72	14	11	is	be	AUX
gra-72	14	12	stored	store	VERB
gra-72	14	13	from	from	ADP
gra-72	14	14	long	long	ADJ
gra-72	14	15	time	time	NOUN
gra-72	14	16	.	.	PUNCT
gra-72	15	1	the	the	DET
gra-72	15	2	extraction	extraction	NOUN
gra-72	15	3	of	of	ADP
gra-72	15	4	this	this	DET
gra-72	15	5	information	information	NOUN
gra-72	15	6	is	be	AUX
gra-72	15	7	very	very	ADV
gra-72	15	8	important	important	ADJ
gra-72	15	9	in	in	ADP
gra-72	15	10	order	order	NOUN
gra-72	15	11	to	to	PART
gra-72	15	12	utilize	utilize	VERB
gra-72	15	13	it	it	PRON
gra-72	15	14	in	in	ADP
gra-72	15	15	useful	useful	ADJ
gra-72	15	16	manner	manner	NOUN
gra-72	15	17	[	[	X
gra-72	15	18	3	3	NUM
gra-72	15	19	]	]	PUNCT
gra-72	15	20	.	.	PUNCT
gra-72	16	1	the	the	DET
gra-72	16	2	process	process	NOUN
gra-72	16	3	of	of	ADP
gra-72	16	4	data	datum	NOUN
gra-72	16	5	mining	mining	NOUN
gra-72	16	6	extracts	extract	NOUN
gra-72	16	7	the	the	DET
gra-72	16	8	useful	useful	ADJ
gra-72	16	9	information	information	NOUN
gra-72	16	10	with	with	ADP
gra-72	16	11	quality	quality	NOUN
gra-72	16	12	and	and	CCONJ
gra-72	16	13	also	also	ADV
gra-72	16	14	provides	provide	VERB
gra-72	16	15	effective	effective	ADJ
gra-72	16	16	sharing	sharing	NOUN
gra-72	16	17	.	.	PUNCT
gra-72	17	1	the	the	DET
gra-72	17	2	discovery	discovery	NOUN
gra-72	17	3	of	of	ADP
gra-72	17	4	predictive	predictive	ADJ
gra-72	17	5	intelligence	intelligence	NOUN
gra-72	17	6	has	have	AUX
gra-72	17	7	been	be	AUX
gra-72	17	8	done	do	VERB
gra-72	17	9	with	with	ADP
gra-72	17	10	the	the	DET
gra-72	17	11	help	help	NOUN
gra-72	17	12	of	of	ADP
gra-72	17	13	uncovering	uncover	VERB
gra-72	17	14	patterns	pattern	NOUN
gra-72	17	15	and	and	CCONJ
gra-72	17	16	relationships	relationship	NOUN
gra-72	17	17	present	present	ADJ
gra-72	17	18	within	within	ADP
gra-72	17	19	structured	structure	VERB
gra-72	17	20	as	as	ADV
gra-72	17	21	well	well	ADV
gra-72	17	22	as	as	ADP
gra-72	17	23	unstructured	unstructured	ADJ
gra-72	17	24	data	datum	NOUN
gra-72	17	25	in	in	ADP
gra-72	17	26	case	case	NOUN
gra-72	17	27	of	of	ADP
gra-72	17	28	data	datum	NOUN
gra-72	17	29	mining	mining	NOUN
gra-72	17	30	and	and	CCONJ
gra-72	17	31	text	text	NOUN
gra-72	17	32	analytics	analytic	NOUN
gra-72	17	33	[	[	X
gra-72	17	34	4	4	NUM
gra-72	17	35	]	]	PUNCT
gra-72	17	36	.	.	PUNCT
gra-72	18	1	according	accord	VERB
gra-72	18	2	to	to	ADP
gra-72	18	3	researchers	researcher	NOUN
gra-72	18	4	,	,	PUNCT
gra-72	18	5	it	it	PRON
gra-72	18	6	is	be	AUX
gra-72	18	7	required	require	VERB
gra-72	18	8	to	to	PART
gra-72	18	9	have	have	VERB
gra-72	18	10	deep	deep	ADJ
gra-72	18	11	knowledge	knowledge	NOUN
gra-72	18	12	or	or	CCONJ
gra-72	18	13	creative	creative	ADJ
gra-72	18	14	skills	skill	NOUN
gra-72	18	15	so	so	SCONJ
gra-72	18	16	that	that	SCONJ
gra-72	18	17	models	model	NOUN
gra-72	18	18	can	can	AUX
gra-72	18	19	be	be	AUX
gra-72	18	20	generated	generate	VERB
gra-72	18	21	within	within	ADP
gra-72	18	22	predictive	predictive	ADJ
gra-72	18	23	analytics	analytic	NOUN
gra-72	18	24	.	.	PUNCT
gra-72	19	1	hence	hence	ADV
gra-72	19	2	,	,	PUNCT
gra-72	19	3	this	this	DET
gra-72	19	4	approach	approach	NOUN
gra-72	19	5	is	be	AUX
gra-72	19	6	developed	develop	VERB
gra-72	19	7	with	with	ADP
gra-72	19	8	the	the	DET
gra-72	19	9	help	help	NOUN
gra-72	19	10	of	of	ADP
gra-72	19	11	some	some	DET
gra-72	19	12	basic	basic	ADJ
gra-72	19	13	functions	function	NOUN
gra-72	19	14	.	.	PUNCT
gra-72	20	1	the	the	DET
gra-72	20	2	use	use	NOUN
gra-72	20	3	of	of	ADP
gra-72	20	4	credit	credit	NOUN
gra-72	20	5	card	card	NOUN
gra-72	20	6	is	be	AUX
gra-72	20	7	common	common	ADJ
gra-72	20	8	nowadays	nowadays	ADV
gra-72	20	9	due	due	ADP
gra-72	20	10	to	to	AUX
gra-72	20	11	change	change	VERB
gra-72	20	12	in	in	ADP
gra-72	20	13	technology	technology	NOUN
gra-72	20	14	from	from	ADP
gra-72	20	15	moderate	moderate	ADJ
gra-72	20	16	to	to	ADP
gra-72	20	17	modern	modern	ADJ
gra-72	20	18	.	.	PUNCT
gra-72	21	1	therefore	therefore	ADV
gra-72	21	2	,	,	PUNCT
gra-72	21	3	it	it	PRON
gra-72	21	4	is	be	AUX
gra-72	21	5	necessary	necessary	ADJ
gra-72	21	6	to	to	PART
gra-72	21	7	develop	develop	VERB
gra-72	21	8	a	a	DET
gra-72	21	9	model	model	NOUN
gra-72	21	10	for	for	ADP
gra-72	21	11	the	the	DET
gra-72	21	12	detection	detection	NOUN
gra-72	21	13	of	of	ADP
gra-72	21	14	frauds	fraud	NOUN
gra-72	21	15	in	in	ADP
gra-72	21	16	credit	credit	NOUN
gra-72	21	17	cards	card	NOUN
gra-72	21	18	in	in	ADP
gra-72	21	19	all	all	DET
gra-72	21	20	regions	region	NOUN
gra-72	21	21	.	.	PUNCT
gra-72	22	1	fraud	fraud	NOUN
gra-72	22	2	in	in	ADP
gra-72	22	3	credit	credit	NOUN
gra-72	22	4	cards	card	NOUN
gra-72	22	5	is	be	AUX
gra-72	22	6	done	do	VERB
gra-72	22	7	by	by	ADP
gra-72	22	8	any	any	DET
gra-72	22	9	unauthorized	unauthorized	ADJ
gra-72	22	10	account	account	NOUN
gra-72	22	11	activity	activity	NOUN
gra-72	22	12	of	of	ADP
gra-72	22	13	a	a	DET
gra-72	22	14	person	person	NOUN
gra-72	22	15	[	[	X
gra-72	22	16	5	5	NUM
gra-72	22	17	]	]	PUNCT
gra-72	22	18	.	.	PUNCT
gra-72	23	1	thus	thus	ADV
gra-72	23	2	,	,	PUNCT
gra-72	23	3	it	it	PRON
gra-72	23	4	is	be	AUX
gra-72	23	5	necessary	necessary	ADJ
gra-72	23	6	to	to	PART
gra-72	23	7	take	take	VERB
gra-72	23	8	some	some	DET
gra-72	23	9	appropriate	appropriate	ADJ
gra-72	23	10	steps	step	NOUN
gra-72	23	11	by	by	ADP
gra-72	23	12	which	which	PRON
gra-72	23	13	increasing	increase	VERB
gra-72	23	14	frauds	fraud	NOUN
gra-72	23	15	and	and	CCONJ
gra-72	23	16	threats	threat	NOUN
gra-72	23	17	can	can	AUX
gra-72	23	18	be	be	AUX
gra-72	23	19	minimized	minimize	VERB
gra-72	23	20	timely	timely	ADV
gra-72	23	21	.	.	PUNCT
gra-72	24	1	for	for	ADP
gra-72	24	2	the	the	DET
gra-72	24	3	protection	protection	NOUN
gra-72	24	4	of	of	ADP
gra-72	24	5	the	the	DET
gra-72	24	6	clients	client	NOUN
gra-72	24	7	various	various	ADJ
gra-72	24	8	methods	method	NOUN
gra-72	24	9	are	be	AUX
gra-72	24	10	facilitated	facilitate	VERB
gra-72	24	11	that	that	PRON
gra-72	24	12	provide	provide	VERB
gra-72	24	13	the	the	DET
gra-72	24	14	risk	risk	NOUN
gra-72	24	15	management	management	NOUN
gra-72	24	16	that	that	PRON
gra-72	24	17	eliminates	eliminate	VERB
gra-72	24	18	the	the	DET
gra-72	24	19	misuses	misuse	NOUN
gra-72	24	20	of	of	ADP
gra-72	24	21	credit	credit	NOUN
gra-72	24	22	cards	card	NOUN
gra-72	24	23	misuse	misuse	NOUN
gra-72	24	24	.	.	PUNCT
gra-72	25	1	the	the	DET
gra-72	25	2	credit	credit	NOUN
gra-72	25	3	card	card	NOUN
gra-72	25	4	fraud	fraud	NOUN
gra-72	25	5	took	take	VERB
gra-72	25	6	place	place	NOUN
gra-72	25	7	when	when	SCONJ
gra-72	25	8	user	user	NOUN
gra-72	25	9	as	as	ADV
gra-72	25	10	well	well	ADV
gra-72	25	11	as	as	ADP
gra-72	25	12	issuer	issuer	NOUN
gra-72	25	13	has	have	VERB
gra-72	25	14	no	no	DET
gra-72	25	15	knowledge	knowledge	NOUN
gra-72	25	16	that	that	SCONJ
gra-72	25	17	other	other	ADJ
gra-72	25	18	use	use	NOUN
gra-72	25	19	tries	try	VERB
gra-72	25	20	to	to	PART
gra-72	25	21	use	use	VERB
gra-72	25	22	card	card	NOUN
gra-72	25	23	.	.	PUNCT
gra-72	26	1	hence	hence	ADV
gra-72	26	2	,	,	PUNCT
gra-72	26	3	this	this	PRON
gra-72	26	4	is	be	AUX
gra-72	26	5	known	know	VERB
gra-72	26	6	as	as	ADP
gra-72	26	7	frauds	fraud	NOUN
gra-72	26	8	in	in	ADP
gra-72	26	9	which	which	PRON
gra-72	26	10	one	one	NUM
gra-72	26	11	card	card	NOUN
gra-72	26	12	is	be	AUX
gra-72	26	13	used	use	VERB
gra-72	26	14	by	by	ADP
gra-72	26	15	another	another	PRON
gra-72	26	16	.	.	PUNCT
gra-72	27	1	the	the	DET
gra-72	27	2	person	person	NOUN
gra-72	27	3	who	who	PRON
gra-72	27	4	tries	try	VERB
gra-72	27	5	to	to	PART
gra-72	27	6	use	use	VERB
gra-72	27	7	card	card	NOUN
gra-72	27	8	of	of	ADP
gra-72	27	9	another	another	DET
gra-72	27	10	person	person	NOUN
gra-72	27	11	is	be	AUX
gra-72	27	12	not	not	PART
gra-72	27	13	having	have	VERB
gra-72	27	14	good	good	ADJ
gra-72	27	15	intention	intention	NOUN
gra-72	27	16	as	as	SCONJ
gra-72	27	17	that	that	DET
gra-72	27	18	person	person	NOUN
gra-72	27	19	want	want	VERB
gra-72	27	20	to	to	PART
gra-72	27	21	withdraw	withdraw	VERB
gra-72	27	22	all	all	DET
gra-72	27	23	money	money	NOUN
gra-72	27	24	from	from	ADP
gra-72	27	25	user	user	NOUN
gra-72	27	26	account	account	NOUN
gra-72	27	27	.	.	PUNCT
gra-72	28	1	the	the	DET
gra-72	28	2	unauthorized	unauthorized	ADJ
gra-72	28	3	user	user	NOUN
gra-72	28	4	is	be	AUX
gra-72	28	5	identied	identied	PROPN
gra-72	28	6	with	with	ADP
gra-72	28	7	the	the	DET
gra-72	28	8	help	help	NOUN
gra-72	28	9	of	of	ADP
gra-72	28	10	fraud	fraud	NOUN
gra-72	28	11	detection	detection	NOUN
gra-72	28	12	system	system	NOUN
gra-72	28	13	,	,	PUNCT
gra-72	28	14	if	if	SCONJ
gra-72	28	15	one	one	PRON
gra-72	28	16	could	could	AUX
gra-72	28	17	commit	commit	VERB
gra-72	28	18	the	the	DET
gra-72	28	19	fraud	fraud	NOUN
gra-72	28	20	.	.	PUNCT
gra-72	29	1	in	in	ADP
gra-72	29	2	order	order	NOUN
gra-72	29	3	to	to	PART
gra-72	29	4	minimize	minimize	VERB
gra-72	29	5	all	all	DET
gra-72	29	6	these	these	DET
gra-72	29	7	frauds	fraud	NOUN
gra-72	29	8	and	and	CCONJ
gra-72	29	9	to	to	PART
gra-72	29	10	attract	attract	VERB
gra-72	29	11	criminals	criminal	NOUN
gra-72	29	12	various	various	ADJ
gra-72	29	13	fraud	fraud	NOUN
gra-72	29	14	detection	detection	NOUN
gra-72	29	15	methods	method	NOUN
gra-72	29	16	has	have	AUX
gra-72	29	17	been	be	AUX
gra-72	29	18	developed	develop	VERB
gra-72	29	19	so	so	ADV
gra-72	29	20	far	far	ADV
gra-72	29	21	using	use	VERB
gra-72	29	22	various	various	ADJ
gra-72	29	23	strategies	strategy	NOUN
gra-72	29	24	[	[	X
gra-72	29	25	6	6	NUM
gra-72	29	26	]	]	PUNCT
gra-72	29	27	.	.	PUNCT
gra-72	30	1	the	the	DET
gra-72	30	2	development	development	NOUN
gra-72	30	3	of	of	ADP
gra-72	30	4	new	new	ADJ
gra-72	30	5	mechanism	mechanism	NOUN
gra-72	30	6	for	for	ADP
gra-72	30	7	fraud	fraud	NOUN
gra-72	30	8	detection	detection	NOUN
gra-72	30	9	is	be	AUX
gra-72	30	10	becomes	become	VERB
gra-72	30	11	difcult	difcult	NOUN
gra-72	30	12	due	due	ADP
gra-72	30	13	to	to	ADP
gra-72	30	14	the	the	DET
gra-72	30	15	limitations	limitation	NOUN
gra-72	30	16	of	of	ADP
gra-72	30	17	exchanging	exchange	VERB
gra-72	30	18	the	the	DET
gra-72	30	19	ideas	idea	NOUN
gra-72	30	20	of	of	ADP
gra-72	30	21	fraud	fraud	NOUN
gra-72	30	22	detection	detection	NOUN
gra-72	30	23	.	.	PUNCT
gra-72	31	1	literature	literature	PROPN
gra-72	31	2	review	review	PROPN
gra-72	31	3	kuldeep	kuldeep	PROPN
gra-72	31	4	randhawa	randhawa	PROPN
gra-72	31	5	,	,	PUNCT
gra-72	31	6	et.al	et.al	PROPN
gra-72	31	7	(	(	PUNCT
gra-72	31	8	2017	2017	NUM
gra-72	31	9	)	)	PUNCT
gra-72	31	10	presented	present	VERB
gra-72	31	11	the	the	DET
gra-72	31	12	use	use	NOUN
gra-72	31	13	of	of	ADP
gra-72	31	14	machine	machine	NOUN
gra-72	31	15	learning	learn	VERB
gra-72	31	16	algorithm	algorithm	NOUN
gra-72	31	17	has	have	AUX
gra-72	31	18	been	be	AUX
gra-72	31	19	utilized	utilize	VERB
gra-72	31	20	for	for	ADP
gra-72	31	21	the	the	DET
gra-72	31	22	detection	detection	NOUN
gra-72	31	23	of	of	ADP
gra-72	31	24	the	the	DET
gra-72	31	25	fraud	fraud	NOUN
gra-72	31	26	in	in	ADP
gra-72	31	27	the	the	DET
gra-72	31	28	credit	credit	NOUN
gra-72	31	29	card	card	NOUN
gra-72	31	30	by	by	ADP
gra-72	31	31	developing	develop	VERB
gra-72	31	32	a	a	DET
gra-72	31	33	system	system	NOUN
gra-72	31	34	[	[	X
gra-72	31	35	7	7	NUM
gra-72	31	36	]	]	PUNCT
gra-72	31	37	.	.	PUNCT
gra-72	32	1	the	the	DET
gra-72	32	2	standard	standard	ADJ
gra-72	32	3	models	model	NOUN
gra-72	32	4	was	be	AUX
gra-72	32	5	utilized	utilize	VERB
gra-72	32	6	initially	initially	ADV
gra-72	32	7	after	after	ADP
gra-72	32	8	which	which	PRON
gra-72	32	9	the	the	DET
gra-72	32	10	use	use	NOUN
gra-72	32	11	of	of	ADP
gra-72	32	12	hybrid	hybrid	ADJ
gra-72	32	13	methods	method	NOUN
gra-72	32	14	is	be	AUX
gra-72	32	15	followed	follow	VERB
gra-72	32	16	in	in	ADP
gra-72	32	17	which	which	PRON
gra-72	32	18	adaboost	adaboost	ADV
gra-72	32	19	is	be	AUX
gra-72	32	20	present	present	ADJ
gra-72	32	21	.	.	PUNCT
gra-72	33	1	the	the	DET
gra-72	33	2	efciency	efciency	NOUN
gra-72	33	3	of	of	ADP
gra-72	33	4	the	the	DET
gra-72	33	5	model	model	NOUN
gra-72	33	6	has	have	AUX
gra-72	33	7	been	be	AUX
gra-72	33	8	evaluated	evaluate	VERB
gra-72	33	9	with	with	ADP
gra-72	33	10	the	the	DET
gra-72	33	11	help	help	NOUN
gra-72	33	12	of	of	ADP
gra-72	33	13	credit	credit	NOUN
gra-72	33	14	card	card	NOUN
gra-72	33	15	dataset	dataset	NOUN
gra-72	33	16	which	which	PRON
gra-72	33	17	is	be	AUX
gra-72	33	18	available	available	ADJ
gra-72	33	19	everywhere	everywhere	ADV
gra-72	33	20	.	.	PUNCT
gra-72	34	1	in	in	ADP
gra-72	34	2	the	the	DET
gra-72	34	3	data	data	NOUN
gra-72	34	4	samples	sample	NOUN
gra-72	34	5	noise	noise	NOUN
gra-72	34	6	is	be	AUX
gra-72	34	7	embedded	embed	VERB
gra-72	34	8	in	in	ADP
gra-72	34	9	order	order	NOUN
gra-72	34	10	to	to	PART
gra-72	34	11	evaluate	evaluate	VERB
gra-72	34	12	the	the	DET
gra-72	34	13	robustness	robustness	NOUN
gra-72	34	14	of	of	ADP
gra-72	34	15	algorithms	algorithm	NOUN
gra-72	34	16	.	.	PUNCT
gra-72	35	1	on	on	ADP
gra-72	35	2	the	the	DET
gra-72	35	3	basis	basis	NOUN
gra-72	35	4	of	of	ADP
gra-72	35	5	performed	perform	VERB
gra-72	35	6	experiments	experiment	NOUN
gra-72	35	7	,	,	PUNCT
gra-72	35	8	it	it	PRON
gra-72	35	9	is	be	AUX
gra-72	35	10	concluded	conclude	VERB
gra-72	35	11	that	that	SCONJ
gra-72	35	12	fraud	fraud	NOUN
gra-72	35	13	detection	detection	NOUN
gra-72	35	14	methods	method	NOUN
gra-72	35	15	provides	provide	VERB
gra-72	35	16	the	the	DET
gra-72	35	17	higher	high	ADJ
gra-72	35	18	accuracy	accuracy	NOUN
gra-72	35	19	rates	rate	NOUN
gra-72	35	20	.	.	PUNCT
gra-72	36	1	with	with	ADP
gra-72	36	2	the	the	DET
gra-72	36	3	help	help	NOUN
gra-72	36	4	of	of	ADP
gra-72	36	5	this	this	DET
gra-72	36	6	approach	approach	NOUN
gra-72	36	7	online	online	NOUN
gra-72	36	8	learning	learning	NOUN
gra-72	36	9	models	model	NOUN
gra-72	36	10	will	will	AUX
gra-72	36	11	be	be	AUX
gra-72	36	12	proposed	propose	VERB
gra-72	36	13	in	in	ADP
gra-72	36	14	future	future	NOUN
gra-72	36	15	to	to	PART
gra-72	36	16	extent	extent	VERB
gra-72	36	17	the	the	DET
gra-72	36	18	work	work	NOUN
gra-72	36	19	.	.	PUNCT
gra-72	37	1	hence	hence	ADV
gra-72	37	2	,	,	PUNCT
gra-72	37	3	it	it	PRON
gra-72	37	4	becomes	become	VERB
gra-72	37	5	easy	easy	ADJ
gra-72	37	6	to	to	PART
gra-72	37	7	identify	identify	VERB
gra-72	37	8	fraud	fraud	NOUN
gra-72	37	9	cases	case	NOUN
gra-72	37	10	quickly	quickly	ADV
gra-72	37	11	using	use	VERB
gra-72	37	12	online	online	ADJ
gra-72	37	13	learning	learning	NOUN
gra-72	37	14	mechanism	mechanism	NOUN
gra-72	37	15	.	.	PUNCT
gra-72	38	1	suman	suman	PROPN
gra-72	38	2	arora	arora	PROPN
gra-72	38	3	,	,	PUNCT
gra-72	38	4	et.al	et.al	PROPN
gra-72	38	5	(	(	PUNCT
gra-72	38	6	2017	2017	NUM
gra-72	38	7	)	)	PUNCT
gra-72	38	8	presented	present	VERB
gra-72	38	9	various	various	ADJ
gra-72	38	10	issues	issue	NOUN
gra-72	38	11	are	be	AUX
gra-72	38	12	faced	face	VERB
gra-72	38	13	by	by	ADP
gra-72	38	14	individual	individual	ADJ
gra-72	38	15	while	while	SCONJ
gra-72	38	16	selecting	select	VERB
gra-72	38	17	appropriate	appropriate	ADJ
gra-72	38	18	fraud	fraud	NOUN
gra-72	38	19	detection	detection	NOUN
gra-72	38	20	models	model	NOUN
gra-72	38	21	as	as	ADP
gra-72	38	22	per	per	ADP
gra-72	38	23	done	do	VERB
gra-72	38	24	study	study	NOUN
gra-72	38	25	[	[	X
gra-72	38	26	8	8	NUM
gra-72	38	27	]	]	PUNCT
gra-72	38	28	.	.	PUNCT
gra-72	39	1	the	the	DET
gra-72	39	2	implementation	implementation	NOUN
gra-72	39	3	of	of	ADP
gra-72	39	4	an	an	DET
gra-72	39	5	effective	effective	ADJ
gra-72	39	6	process	process	NOUN
gra-72	39	7	coefcient	coefcient	NOUN
gra-72	39	8	sum	sum	NOUN
gra-72	39	9	mechanism	mechanism	NOUN
gra-72	39	10	was	be	AUX
gra-72	39	11	done	do	VERB
gra-72	39	12	whole	whole	ADJ
gra-72	39	13	set	set	NOUN
gra-72	39	14	of	of	ADP
gra-72	39	15	selection	selection	NOUN
gra-72	39	16	criteria	criterion	NOUN
gra-72	39	17	and	and	CCONJ
gra-72	39	18	fdms	fdm	NOUN
gra-72	39	19	are	be	AUX
gra-72	39	20	introduced	introduce	VERB
gra-72	39	21	.	.	PUNCT
gra-72	40	1	for	for	ADP
gra-72	40	2	the	the	DET
gra-72	40	3	analysis	analysis	NOUN
gra-72	40	4	of	of	ADP
gra-72	40	5	various	various	ADJ
gra-72	40	6	scenarios	scenario	NOUN
gra-72	40	7	,	,	PUNCT
gra-72	40	8	this	this	DET
gra-72	40	9	proposed	propose	VERB
gra-72	40	10	approach	approach	NOUN
gra-72	40	11	has	have	AUX
gra-72	40	12	been	be	AUX
gra-72	40	13	utilized	utilize	VERB
gra-72	40	14	using	use	VERB
gra-72	40	15	decision	decision	NOUN
gra-72	40	16	maker	maker	NOUN
gra-72	40	17	's	's	PART
gra-72	40	18	criterion	criterion	NOUN
gra-72	40	19	.	.	PUNCT
gra-72	41	1	there	there	PRON
gra-72	41	2	is	be	VERB
gra-72	41	3	no	no	DET
gra-72	41	4	fraud	fraud	NOUN
gra-72	41	5	detection	detection	NOUN
gra-72	41	6	model	model	NOUN
gra-72	41	7	till	till	SCONJ
gra-72	41	8	yet	yet	ADV
gra-72	41	9	which	which	DET
gra-72	41	10	satises	satises	PROPN
gra-72	41	11	all	all	DET
gra-72	41	12	the	the	DET
gra-72	41	13	needs	need	NOUN
gra-72	41	14	by	by	ADP
gra-72	41	15	which	which	PRON
gra-72	41	16	frauds	fraud	NOUN
gra-72	41	17	can	can	AUX
gra-72	41	18	be	be	AUX
gra-72	41	19	detected	detect	VERB
gra-72	41	20	easily	easily	ADV
gra-72	41	21	.	.	PUNCT
gra-72	42	1	they	they	PRON
gra-72	42	2	proposed	propose	VERB
gra-72	42	3	a	a	DET
gra-72	42	4	method	method	NOUN
gra-72	42	5	in	in	ADP
gra-72	42	6	this	this	DET
gra-72	42	7	paper	paper	NOUN
gra-72	42	8	which	which	PRON
gra-72	42	9	is	be	AUX
gra-72	42	10	based	base	VERB
gra-72	42	11	on	on	ADP
gra-72	42	12	the	the	DET
gra-72	42	13	integration	integration	NOUN
gra-72	42	14	of	of	ADP
gra-72	42	15	different	different	ADJ
gra-72	42	16	comparison	comparison	NOUN
gra-72	42	17	so	so	SCONJ
gra-72	42	18	that	that	SCONJ
gra-72	42	19	fraud	fraud	NOUN
gra-72	42	20	can	can	AUX
gra-72	42	21	be	be	AUX
gra-72	42	22	detected	detect	VERB
gra-72	42	23	ranked	rank	VERB
gra-72	42	24	easily	easily	ADV
gra-72	42	25	.	.	PUNCT
gra-72	43	1	with	with	ADP
gra-72	43	2	the	the	DET
gra-72	43	3	help	help	NOUN
gra-72	43	4	of	of	ADP
gra-72	43	5	this	this	DET
gra-72	43	6	proposed	propose	VERB
gra-72	43	7	method	method	NOUN
gra-72	43	8	,	,	PUNCT
gra-72	43	9	the	the	DET
gra-72	43	10	complex	complex	ADJ
gra-72	43	11	multi	multi	ADJ
gra-72	43	12	-	-	ADJ
gra-72	43	13	attributes	attribute	NOUN
gra-72	43	14	decision	decision	NOUN
gra-72	43	15	issues	issue	NOUN
gra-72	43	16	can	can	AUX
gra-72	43	17	be	be	AUX
gra-72	43	18	resolved	resolve	VERB
gra-72	43	19	easily	easily	ADV
gra-72	43	20	.	.	PUNCT
gra-72	44	1	s	s	PART
gra-72	44	2	md	md	PROPN
gra-72	44	3	.	.	PROPN
gra-72	44	4	s	s	PART
gra-72	44	5	askari	askari	PROPN
gra-72	44	6	,	,	PUNCT
gra-72	44	7	et.al	et.al	PROPN
gra-72	44	8	(	(	PUNCT
gra-72	44	9	2017	2017	NUM
gra-72	44	10	)	)	PUNCT
gra-72	44	11	presented	present	VERB
gra-72	44	12	the	the	DET
gra-72	44	13	use	use	NOUN
gra-72	44	14	of	of	ADP
gra-72	44	15	fuzzy	fuzzy	ADJ
gra-72	44	16	logic	logic	NOUN
gra-72	44	17	which	which	PRON
gra-72	44	18	is	be	AUX
gra-72	44	19	the	the	DET
gra-72	44	20	combination	combination	NOUN
gra-72	44	21	of	of	ADP
gra-72	44	22	mathematical	mathematical	ADJ
gra-72	44	23	process	process	NOUN
gra-72	44	24	by	by	ADP
gra-72	44	25	which	which	PRON
gra-72	44	26	an	an	DET
gra-72	44	27	id3	id3	NOUN
gra-72	44	28	decision	decision	NOUN
gra-72	44	29	tree	tree	NOUN
gra-72	44	30	system	system	NOUN
gra-72	44	31	is	be	AUX
gra-72	44	32	generated	generate	VERB
gra-72	44	33	in	in	ADP
gra-72	44	34	this	this	DET
gra-72	44	35	paper	paper	NOUN
gra-72	44	36	.	.	PUNCT
gra-72	45	1	they	they	PRON
gra-72	45	2	machine	machine	NOUN
gra-72	45	3	learning	learn	VERB
gra-72	45	4	approach	approach	NOUN
gra-72	45	5	for	for	ADP
gra-72	45	6	credit	credit	NOUN
gra-72	45	7	card	card	NOUN
gra-72	45	8	fraud	fraud	NOUN
gra-72	45	9	detection	detection	NOUN
gra-72	45	10	original	original	ADJ
gra-72	45	11	research	research	NOUN
gra-72	45	12	paper	paper	NOUN
gra-72	45	13	geetika	geetika	NOUN
gra-72	45	14	student	student	NOUN
gra-72	45	15	,	,	PUNCT
gra-72	45	16	department	department	NOUN
gra-72	45	17	of	of	ADP
gra-72	45	18	computer	computer	NOUN
gra-72	45	19	engineering	engineering	NOUN
gra-72	45	20	,	,	PUNCT
gra-72	45	21	punjabi	punjabi	PROPN
gra-72	45	22	university	university	NOUN
gra-72	45	23	,	,	PUNCT
gra-72	45	24	patiala	patiala	NOUN
gra-72	45	25	computer	computer	NOUN
gra-72	45	26	engineering	engineer	VERB
gra-72	45	27	the	the	DET
gra-72	45	28	extraction	extraction	NOUN
gra-72	45	29	of	of	ADP
gra-72	45	30	the	the	DET
gra-72	45	31	useful	useful	ADJ
gra-72	45	32	information	information	NOUN
gra-72	45	33	from	from	ADP
gra-72	45	34	the	the	DET
gra-72	45	35	raw	raw	ADJ
gra-72	45	36	data	datum	NOUN
gra-72	45	37	is	be	AUX
gra-72	45	38	done	do	VERB
gra-72	45	39	a	a	DET
gra-72	45	40	technique	technique	NOUN
gra-72	45	41	known	know	VERB
gra-72	45	42	as	as	ADP
gra-72	45	43	data	data	NOUN
gra-72	45	44	mining	mining	NOUN
gra-72	45	45	.	.	PUNCT
gra-72	46	1	the	the	DET
gra-72	46	2	prediction	prediction	NOUN
gra-72	46	3	of	of	ADP
gra-72	46	4	new	new	ADJ
gra-72	46	5	things	thing	NOUN
gra-72	46	6	from	from	ADP
gra-72	46	7	the	the	DET
gra-72	46	8	current	current	ADJ
gra-72	46	9	data	datum	NOUN
gra-72	46	10	has	have	AUX
gra-72	46	11	been	be	AUX
gra-72	46	12	done	do	VERB
gra-72	46	13	using	use	VERB
gra-72	46	14	the	the	DET
gra-72	46	15	prediction	prediction	NOUN
gra-72	46	16	analysis	analysis	NOUN
gra-72	46	17	which	which	PRON
gra-72	46	18	is	be	AUX
gra-72	46	19	the	the	DET
gra-72	46	20	application	application	NOUN
gra-72	46	21	of	of	ADP
gra-72	46	22	data	datum	NOUN
gra-72	46	23	mining	mining	NOUN
gra-72	46	24	.	.	PUNCT
gra-72	47	1	classications	classication	NOUN
gra-72	47	2	techniques	technique	NOUN
gra-72	47	3	are	be	AUX
gra-72	47	4	most	most	ADV
gra-72	47	5	commonly	commonly	ADV
gra-72	47	6	used	use	VERB
gra-72	47	7	which	which	PRON
gra-72	47	8	are	be	AUX
gra-72	47	9	implemented	implement	VERB
gra-72	47	10	for	for	ADP
gra-72	47	11	the	the	DET
gra-72	47	12	prediction	prediction	NOUN
gra-72	47	13	analysis	analysis	NOUN
gra-72	47	14	.	.	PUNCT
gra-72	48	1	hence	hence	ADV
gra-72	48	2	,	,	PUNCT
gra-72	48	3	prediction	prediction	NOUN
gra-72	48	4	of	of	ADP
gra-72	48	5	the	the	DET
gra-72	48	6	credit	credit	NOUN
gra-72	48	7	card	card	NOUN
gra-72	48	8	fraud	fraud	NOUN
gra-72	48	9	detection	detection	NOUN
gra-72	48	10	is	be	AUX
gra-72	48	11	the	the	DET
gra-72	48	12	main	main	ADJ
gra-72	48	13	objective	objective	NOUN
gra-72	48	14	of	of	ADP
gra-72	48	15	this	this	DET
gra-72	48	16	work	work	NOUN
gra-72	48	17	.	.	PUNCT
gra-72	49	1	author	author	NOUN
gra-72	49	2	proposed	propose	VERB
gra-72	49	3	various	various	ADJ
gra-72	49	4	credit	credit	NOUN
gra-72	49	5	card	card	NOUN
gra-72	49	6	fraud	fraud	NOUN
gra-72	49	7	detection	detection	NOUN
gra-72	49	8	mechanisms	mechanism	NOUN
gra-72	49	9	and	and	CCONJ
gra-72	49	10	techniques	technique	NOUN
gra-72	49	11	to	to	PART
gra-72	49	12	prevent	prevent	VERB
gra-72	49	13	and	and	CCONJ
gra-72	49	14	detect	detect	VERB
gra-72	49	15	fraud	fraud	NOUN
gra-72	49	16	timely	timely	ADV
gra-72	49	17	.	.	PUNCT
gra-72	50	1	the	the	DET
gra-72	50	2	fundamental	fundamental	ADJ
gra-72	50	3	of	of	ADP
gra-72	50	4	the	the	DET
gra-72	50	5	proposed	propose	VERB
gra-72	50	6	technique	technique	NOUN
gra-72	50	7	in	in	ADP
gra-72	50	8	the	the	DET
gra-72	50	9	base	base	NOUN
gra-72	50	10	paper	paper	NOUN
gra-72	50	11	is	be	AUX
gra-72	50	12	based	base	VERB
gra-72	50	13	on	on	ADP
gra-72	50	14	the	the	DET
gra-72	50	15	conventional	conventional	ADJ
gra-72	50	16	neural	neural	ADJ
gra-72	50	17	networks	network	NOUN
gra-72	50	18	.	.	PUNCT
gra-72	51	1	this	this	DET
gra-72	51	2	system	system	NOUN
gra-72	51	3	drives	drive	VERB
gra-72	51	4	the	the	DET
gra-72	51	5	new	new	ADJ
gra-72	51	6	values	value	NOUN
gra-72	51	7	and	and	CCONJ
gra-72	51	8	learns	learn	VERB
gra-72	51	9	from	from	ADP
gra-72	51	10	the	the	DET
gra-72	51	11	previous	previous	ADJ
gra-72	51	12	experiences	experience	NOUN
gra-72	51	13	.	.	PUNCT
gra-72	52	1	for	for	ADP
gra-72	52	2	the	the	DET
gra-72	52	3	detection	detection	NOUN
gra-72	52	4	of	of	ADP
gra-72	52	5	the	the	DET
gra-72	52	6	credit	credit	NOUN
gra-72	52	7	card	card	NOUN
gra-72	52	8	fraud	fraud	NOUN
gra-72	52	9	,	,	PUNCT
gra-72	52	10	svm	svm	PROPN
gra-72	52	11	classier	classier	PROPN
gra-72	52	12	is	be	AUX
gra-72	52	13	proposed	propose	VERB
gra-72	52	14	in	in	ADP
gra-72	52	15	this	this	DET
gra-72	52	16	research	research	NOUN
gra-72	52	17	work	work	NOUN
gra-72	52	18	using	use	VERB
gra-72	52	19	which	which	DET
gra-72	52	20	input	input	NOUN
gra-72	52	21	data	data	NOUN
gra-72	52	22	is	be	AUX
gra-72	52	23	classied	classied	PROPN
gra-72	52	24	into	into	ADP
gra-72	52	25	normal	normal	ADJ
gra-72	52	26	and	and	CCONJ
gra-72	52	27	fraud	fraud	NOUN
gra-72	52	28	transactions	transaction	NOUN
gra-72	52	29	.	.	PUNCT
gra-72	53	1	test	test	NOUN
gra-72	53	2	and	and	CCONJ
gra-72	53	3	training	training	NOUN
gra-72	53	4	sets	set	NOUN
gra-72	53	5	are	be	AUX
gra-72	53	6	the	the	DET
gra-72	53	7	two	two	NUM
gra-72	53	8	sub	sub	NOUN
gra-72	53	9	-	-	NOUN
gra-72	53	10	parts	part	NOUN
gra-72	53	11	of	of	ADP
gra-72	53	12	the	the	DET
gra-72	53	13	input	input	NOUN
gra-72	53	14	data	datum	NOUN
gra-72	53	15	.	.	PUNCT
gra-72	54	1	in	in	ADP
gra-72	54	2	terms	term	NOUN
gra-72	54	3	of	of	ADP
gra-72	54	4	precision	precision	NOUN
gra-72	54	5	and	and	CCONJ
gra-72	54	6	recall	recall	NOUN
gra-72	54	7	,	,	PUNCT
gra-72	54	8	the	the	DET
gra-72	54	9	normal	normal	ADJ
gra-72	54	10	and	and	CCONJ
gra-72	54	11	fraud	fraud	NOUN
gra-72	54	12	transactions	transaction	NOUN
gra-72	54	13	have	have	AUX
gra-72	54	14	been	be	AUX
gra-72	54	15	predicted	predict	VERB
gra-72	54	16	on	on	ADP
gra-72	54	17	the	the	DET
gra-72	54	18	basis	basis	NOUN
gra-72	54	19	of	of	ADP
gra-72	54	20	test	test	NOUN
gra-72	54	21	and	and	CCONJ
gra-72	54	22	training	training	NOUN
gra-72	54	23	sets	set	NOUN
gra-72	54	24	.	.	PUNCT
gra-72	55	1	abstract	abstract	ADJ
gra-72	55	2	keywords	keyword	NOUN
gra-72	55	3	:	:	PUNCT
gra-72	55	4	fraud	fraud	NOUN
gra-72	55	5	detection	detection	NOUN
gra-72	55	6	,	,	PUNCT
gra-72	55	7	svm	svm	PROPN
gra-72	55	8	,	,	PUNCT
gra-72	55	9	knn	knn	PROPN
gra-72	55	10	,	,	PUNCT
gra-72	55	11	naïve	naïve	PROPN
gra-72	55	12	bayes	bayes	PROPN
gra-72	55	13	dr	dr	PROPN
gra-72	55	14	.	.	PROPN
gra-72	55	15	gaurav	gaurav	PROPN
gra-72	55	16	gupta	gupta	PROPN
gra-72	55	17	*	*	SYM
gra-72	55	18	assistant	assistant	NOUN
gra-72	55	19	professor	professor	NOUN
gra-72	55	20	,	,	PUNCT
gra-72	55	21	department	department	NOUN
gra-72	55	22	of	of	ADP
gra-72	55	23	computer	computer	NOUN
gra-72	55	24	engineering	engineering	NOUN
gra-72	55	25	,	,	PUNCT
gra-72	55	26	punjabi	punjabi	PROPN
gra-72	55	27	university	university	PROPN
gra-72	55	28	,	,	PUNCT
gra-72	55	29	patiala	patiala	NOUN
gra-72	55	30	*	*	PUNCT
gra-72	55	31	corresponding	correspond	VERB
gra-72	55	32	author	author	NOUN
gra-72	55	33	volume-8	volume-8	NUM
gra-72	55	34	,	,	PUNCT
gra-72	55	35	issue-9	issue-9	NUM
gra-72	55	36	,	,	PUNCT
gra-72	55	37	september-2019	september-2019	ADJ
gra-72	55	38	•	•	NUM
gra-72	55	39	print	print	NOUN
gra-72	55	40	issn	issn	PROPN
gra-72	55	41	no	no	NOUN
gra-72	55	42	.	.	PROPN
gra-72	55	43	2277	2277	NUM
gra-72	55	44	8160	8160	NUM
gra-72	55	45	•	•	NOUN
gra-72	55	46	doi	doi	NOUN
gra-72	55	47	:	:	PUNCT
gra-72	55	48	10.36106	10.36106	NUM
gra-72	55	49	/	/	SYM
gra-72	55	50	gjra	gjra	NOUN
gra-72	55	51	96	96	NUM
gra-72	55	52	x	x	SYM
gra-72	55	53	gjra	gjra	PROPN
gra-72	55	54	global	global	ADJ
gra-72	55	55	journal	journal	PROPN
gra-72	55	56	for	for	ADP
gra-72	55	57	research	research	NOUN
gra-72	55	58	analysis	analysis	NOUN
gra-72	55	59	implemented	implement	VERB
gra-72	55	60	the	the	DET
gra-72	55	61	fuzzitree	fuzzitree	ADJ
gra-72	55	62	algorithm	algorithm	NOUN
gra-72	55	63	on	on	ADP
gra-72	55	64	the	the	DET
gra-72	55	65	normalized	normalized	ADJ
gra-72	55	66	training	training	NOUN
gra-72	55	67	data	datum	NOUN
gra-72	55	68	[	[	X
gra-72	55	69	9	9	NUM
gra-72	55	70	]	]	PUNCT
gra-72	55	71	.	.	PUNCT
gra-72	56	1	as	as	ADP
gra-72	56	2	per	per	ADP
gra-72	56	3	performed	perform	VERB
gra-72	56	4	experiments	experiment	NOUN
gra-72	56	5	,	,	PUNCT
gra-72	56	6	it	it	PRON
gra-72	56	7	is	be	AUX
gra-72	56	8	demonstrated	demonstrate	VERB
gra-72	56	9	that	that	SCONJ
gra-72	56	10	all	all	DET
gra-72	56	11	the	the	DET
gra-72	56	12	performed	perform	VERB
gra-72	56	13	transaction	transaction	NOUN
gra-72	56	14	was	be	AUX
gra-72	56	15	classied	classied	PROPN
gra-72	56	16	correctly	correctly	ADV
gra-72	56	17	except	except	SCONJ
gra-72	56	18	for	for	ADP
gra-72	56	19	the	the	DET
gra-72	56	20	transaction	transaction	NOUN
gra-72	56	21	number	number	NOUN
gra-72	56	22	7	7	NUM
gra-72	56	23	.	.	PUNCT
gra-72	57	1	they	they	PRON
gra-72	57	2	performed	perform	VERB
gra-72	57	3	various	various	ADJ
gra-72	57	4	tests	test	NOUN
gra-72	57	5	on	on	ADP
gra-72	57	6	different	different	ADJ
gra-72	57	7	transactions	transaction	NOUN
gra-72	57	8	so	so	SCONJ
gra-72	57	9	that	that	SCONJ
gra-72	57	10	detection	detection	NOUN
gra-72	57	11	rate	rate	NOUN
gra-72	57	12	can	can	AUX
gra-72	57	13	be	be	AUX
gra-72	57	14	determined	determine	VERB
gra-72	57	15	easily	easily	ADV
gra-72	57	16	in	in	ADP
gra-72	57	17	different	different	ADJ
gra-72	57	18	situations	situation	NOUN
gra-72	57	19	.	.	PUNCT
gra-72	58	1	on	on	ADP
gra-72	58	2	the	the	DET
gra-72	58	3	basis	basis	NOUN
gra-72	58	4	of	of	ADP
gra-72	58	5	achieved	achieve	VERB
gra-72	58	6	results	result	NOUN
gra-72	58	7	,	,	PUNCT
gra-72	58	8	it	it	PRON
gra-72	58	9	is	be	AUX
gra-72	58	10	identied	identied	PROPN
gra-72	58	11	that	that	SCONJ
gra-72	58	12	the	the	DET
gra-72	58	13	detection	detection	NOUN
gra-72	58	14	rate	rate	NOUN
gra-72	58	15	is	be	AUX
gra-72	58	16	around	around	ADV
gra-72	58	17	89	89	NUM
gra-72	58	18	%	%	NOUN
gra-72	58	19	.	.	PUNCT
gra-72	59	1	in	in	ADP
gra-72	59	2	future	future	ADJ
gra-72	59	3	,	,	PUNCT
gra-72	59	4	advanced	advanced	ADJ
gra-72	59	5	concepts	concept	NOUN
gra-72	59	6	of	of	ADP
gra-72	59	7	fuzzy	fuzzy	ADJ
gra-72	59	8	will	will	AUX
gra-72	59	9	be	be	AUX
gra-72	59	10	utilized	utilize	VERB
gra-72	59	11	so	so	SCONJ
gra-72	59	12	that	that	SCONJ
gra-72	59	13	fraud	fraud	NOUN
gra-72	59	14	detection	detection	NOUN
gra-72	59	15	can	can	AUX
gra-72	59	16	be	be	AUX
gra-72	59	17	identied	identied	PROPN
gra-72	59	18	easily	easily	ADV
gra-72	59	19	.	.	PUNCT
gra-72	60	1	luis	luis	PROPN
gra-72	60	2	vergara	vergara	PROPN
gra-72	60	3	,	,	PUNCT
gra-72	60	4	et.al	et.al	PROPN
gra-72	60	5	(	(	PUNCT
gra-72	60	6	2017	2017	NUM
gra-72	60	7	)	)	PUNCT
gra-72	60	8	presented	present	VERB
gra-72	60	9	in	in	ADP
gra-72	60	10	order	order	NOUN
gra-72	60	11	to	to	PART
gra-72	60	12	enhance	enhance	VERB
gra-72	60	13	the	the	DET
gra-72	60	14	performance	performance	NOUN
gra-72	60	15	of	of	ADP
gra-72	60	16	credit	credit	NOUN
gra-72	60	17	card	card	NOUN
gra-72	60	18	fraud	fraud	NOUN
gra-72	60	19	detection	detection	NOUN
gra-72	60	20	systems	system	NOUN
gra-72	60	21	,	,	PUNCT
gra-72	60	22	they	they	PRON
gra-72	60	23	proposed	propose	VERB
gra-72	60	24	various	various	ADJ
gra-72	60	25	methods	method	NOUN
gra-72	60	26	which	which	PRON
gra-72	60	27	are	be	AUX
gra-72	60	28	based	base	VERB
gra-72	60	29	on	on	ADP
gra-72	60	30	signal	signal	ADJ
gra-72	60	31	processing	processing	NOUN
gra-72	60	32	on	on	ADP
gra-72	60	33	graphs	graph	NOUN
gra-72	60	34	[	[	X
gra-72	60	35	10	10	NUM
gra-72	60	36	]	]	PUNCT
gra-72	60	37	.	.	PUNCT
gra-72	61	1	in	in	ADP
gra-72	61	2	this	this	DET
gra-72	61	3	paper	paper	NOUN
gra-72	61	4	,	,	PUNCT
gra-72	61	5	they	they	PRON
gra-72	61	6	proposed	propose	VERB
gra-72	61	7	iterative	iterative	NOUN
gra-72	61	8	amplitude	amplitude	NOUN
gra-72	61	9	adjusted	adjust	VERB
gra-72	61	10	fourier	fourier	NOUN
gra-72	61	11	transform	transform	NOUN
gra-72	61	12	along	along	ADP
gra-72	61	13	with	with	ADP
gra-72	61	14	iterative	iterative	ADJ
gra-72	61	15	surrogate	surrogate	ADJ
gra-72	61	16	signals	signal	NOUN
gra-72	61	17	on	on	ADP
gra-72	61	18	graph	graph	NOUN
gra-72	61	19	algorithms	algorithm	NOUN
gra-72	61	20	as	as	ADP
gra-72	61	21	an	an	DET
gra-72	61	22	alternative	alternative	NOUN
gra-72	61	23	.	.	PUNCT
gra-72	62	1	it	it	PRON
gra-72	62	2	is	be	AUX
gra-72	62	3	necessary	necessary	ADJ
gra-72	62	4	to	to	PART
gra-72	62	5	do	do	VERB
gra-72	62	6	a	a	DET
gra-72	62	7	reliable	reliable	ADJ
gra-72	62	8	augmentation	augmentation	NOUN
gra-72	62	9	of	of	ADP
gra-72	62	10	the	the	DET
gra-72	62	11	target	target	NOUN
gra-72	62	12	inadequate	inadequate	ADJ
gra-72	62	13	population	population	NOUN
gra-72	62	14	of	of	ADP
gra-72	62	15	frauds	fraud	NOUN
gra-72	62	16	due	due	ADP
gra-72	62	17	to	to	ADP
gra-72	62	18	the	the	DET
gra-72	62	19	present	present	ADJ
gra-72	62	20	issues	issue	NOUN
gra-72	62	21	.	.	PUNCT
gra-72	63	1	these	these	DET
gra-72	63	2	issues	issue	NOUN
gra-72	63	3	are	be	AUX
gra-72	63	4	labeling	label	VERB
gra-72	63	5	cost	cost	NOUN
gra-72	63	6	,	,	PUNCT
gra-72	63	7	algorithm	algorithm	NOUN
gra-72	63	8	testing	testing	NOUN
gra-72	63	9	,	,	PUNCT
gra-72	63	10	data	datum	NOUN
gra-72	63	11	condentiality	condentiality	NOUN
gra-72	63	12	and	and	CCONJ
gra-72	63	13	consistent	consistent	ADJ
gra-72	63	14	modication	modication	NOUN
gra-72	63	15	of	of	ADP
gra-72	63	16	patterns	pattern	NOUN
gra-72	63	17	.	.	PUNCT
gra-72	64	1	with	with	ADP
gra-72	64	2	the	the	DET
gra-72	64	3	help	help	NOUN
gra-72	64	4	of	of	ADP
gra-72	64	5	legitimate	legitimate	ADJ
gra-72	64	6	and	and	CCONJ
gra-72	64	7	non	non	ADJ
gra-72	64	8	-	-	ADJ
gra-72	64	9	legitimate	legitimate	ADJ
gra-72	64	10	transaction	transaction	NOUN
gra-72	64	11	ratios	ratio	NOUN
gra-72	64	12	,	,	PUNCT
gra-72	64	13	they	they	PRON
gra-72	64	14	evaluated	evaluate	VERB
gra-72	64	15	the	the	DET
gra-72	64	16	detection	detection	NOUN
gra-72	64	17	capabilities	capabilitie	VERB
gra-72	64	18	feasibility	feasibility	NOUN
gra-72	64	19	using	use	VERB
gra-72	64	20	receiver	receiver	NOUN
gra-72	64	21	operating	operate	VERB
gra-72	64	22	characteristic	characteristic	NOUN
gra-72	64	23	(	(	PUNCT
gra-72	64	24	roc	roc	PROPN
gra-72	64	25	)	)	PUNCT
gra-72	64	26	curves	curve	NOUN
gra-72	64	27	and	and	CCONJ
gra-72	64	28	several	several	ADJ
gra-72	64	29	key	key	ADJ
gra-72	64	30	performance	performance	NOUN
gra-72	64	31	indicators	indicator	NOUN
gra-72	64	32	(	(	PUNCT
gra-72	64	33	kpi	kpi	PROPN
gra-72	64	34	)	)	PUNCT
gra-72	64	35	are	be	AUX
gra-72	64	36	utilized	utilize	VERB
gra-72	64	37	.	.	PUNCT
gra-72	65	1	fabrizio	fabrizio	PROPN
gra-72	65	2	carcillo	carcillo	PROPN
gra-72	65	3	,	,	PUNCT
gra-72	65	4	et.al	et.al	PROPN
gra-72	65	5	(	(	PUNCT
gra-72	65	6	2017	2017	NUM
gra-72	65	7	)	)	PUNCT
gra-72	65	8	presented	present	VERB
gra-72	65	9	for	for	ADP
gra-72	65	10	the	the	DET
gra-72	65	11	detection	detection	NOUN
gra-72	65	12	of	of	ADP
gra-72	65	13	frauds	fraud	NOUN
gra-72	65	14	and	and	CCONJ
gra-72	65	15	to	to	PART
gra-72	65	16	enhance	enhance	VERB
gra-72	65	17	the	the	DET
gra-72	65	18	accuracy	accuracy	NOUN
gra-72	65	19	of	of	ADP
gra-72	65	20	fraud	fraud	NOUN
gra-72	65	21	detection	detection	NOUN
gra-72	65	22	ratio	ratio	NOUN
gra-72	65	23	they	they	PRON
gra-72	65	24	combine	combine	VERB
gra-72	65	25	the	the	DET
gra-72	65	26	previously	previously	ADV
gra-72	65	27	proposed	propose	VERB
gra-72	65	28	techniques	technique	NOUN
gra-72	65	29	with	with	ADP
gra-72	65	30	new	new	ADJ
gra-72	65	31	methods	method	NOUN
gra-72	65	32	in	in	ADP
gra-72	65	33	this	this	DET
gra-72	65	34	paper	paper	NOUN
gra-72	66	1	[	[	X
gra-72	66	2	11	11	NUM
gra-72	66	3	]	]	PUNCT
gra-72	66	4	.	.	PUNCT
gra-72	67	1	they	they	PRON
gra-72	67	2	mentioned	mention	VERB
gra-72	67	3	the	the	DET
gra-72	67	4	development	development	NOUN
gra-72	67	5	or	or	CCONJ
gra-72	67	6	investigation	investigation	NOUN
gra-72	67	7	of	of	ADP
gra-72	67	8	tradeoff	tradeoff	NOUN
gra-72	67	9	,	,	PUNCT
gra-72	67	10	in	in	ADP
gra-72	67	11	terms	term	NOUN
gra-72	67	12	of	of	ADP
gra-72	67	13	fraud	fraud	NOUN
gra-72	67	14	detection	detection	NOUN
gra-72	67	15	.	.	PUNCT
gra-72	68	1	with	with	ADP
gra-72	68	2	the	the	DET
gra-72	68	3	help	help	NOUN
gra-72	68	4	of	of	ADP
gra-72	68	5	corresponding	correspond	VERB
gra-72	68	6	machine	machine	NOUN
gra-72	68	7	learning	learning	NOUN
gra-72	68	8	techniques	technique	NOUN
gra-72	68	9	,	,	PUNCT
gra-72	68	10	they	they	PRON
gra-72	68	11	performed	perform	VERB
gra-72	68	12	the	the	DET
gra-72	68	13	widespread	widespread	ADJ
gra-72	68	14	analysis	analysis	NOUN
gra-72	68	15	.	.	PUNCT
gra-72	69	1	this	this	PRON
gra-72	69	2	can	can	AUX
gra-72	69	3	be	be	AUX
gra-72	69	4	done	do	VERB
gra-72	69	5	by	by	ADP
gra-72	69	6	transacting	transact	VERB
gra-72	69	7	millions	million	NOUN
gra-72	69	8	of	of	ADP
gra-72	69	9	real	real	ADJ
gra-72	69	10	-	-	PUNCT
gra-72	69	11	world	world	NOUN
gra-72	69	12	dataset	dataset	NOUN
gra-72	69	13	which	which	PRON
gra-72	69	14	has	have	AUX
gra-72	69	15	been	be	AUX
gra-72	69	16	provided	provide	VERB
gra-72	69	17	by	by	ADP
gra-72	69	18	an	an	DET
gra-72	69	19	industrial	industrial	ADJ
gra-72	69	20	system	system	NOUN
gra-72	69	21	.	.	PUNCT
gra-72	70	1	on	on	ADP
gra-72	70	2	the	the	DET
gra-72	70	3	basis	basis	NOUN
gra-72	70	4	of	of	ADP
gra-72	70	5	performed	perform	VERB
gra-72	70	6	experiments	experiment	NOUN
gra-72	70	7	,	,	PUNCT
gra-72	70	8	it	it	PRON
gra-72	70	9	is	be	AUX
gra-72	70	10	concluded	conclude	VERB
gra-72	70	11	that	that	SCONJ
gra-72	70	12	high	high	ADJ
gra-72	70	13	risk	risk	NOUN
gra-72	70	14	query	query	NOUN
gra-72	70	15	mechanism	mechanism	NOUN
gra-72	70	16	is	be	AUX
gra-72	70	17	achieved	achieve	VERB
gra-72	70	18	here	here	ADV
gra-72	70	19	for	for	ADP
gra-72	70	20	the	the	DET
gra-72	70	21	enhancement	enhancement	NOUN
gra-72	70	22	using	use	VERB
gra-72	70	23	semi	semi	ADJ
gra-72	70	24	-	-	ADJ
gra-72	70	25	supervised	supervised	ADJ
gra-72	70	26	leanring	leanring	NOUN
gra-72	70	27	.	.	PUNCT
gra-72	71	1	rajeshwari	rajeshwari	PROPN
gra-72	71	2	u	u	PROPN
gra-72	71	3	,	,	PUNCT
gra-72	71	4	et.al	et.al	PROPN
gra-72	71	5	(	(	PUNCT
gra-72	71	6	2016	2016	NUM
gra-72	71	7	)	)	PUNCT
gra-72	71	8	presented	present	VERB
gra-72	71	9	for	for	ADP
gra-72	71	10	the	the	DET
gra-72	71	11	prevention	prevention	NOUN
gra-72	71	12	and	and	CCONJ
gra-72	71	13	detection	detection	NOUN
gra-72	71	14	of	of	ADP
gra-72	71	15	frauds	fraud	NOUN
gra-72	71	16	timely	timely	ADV
gra-72	71	17	,	,	PUNCT
gra-72	71	18	they	they	PRON
gra-72	71	19	proposed	propose	VERB
gra-72	71	20	a	a	DET
gra-72	71	21	mechanism	mechanism	NOUN
gra-72	71	22	in	in	ADP
gra-72	71	23	this	this	DET
gra-72	71	24	paper	paper	NOUN
gra-72	71	25	.	.	PUNCT
gra-72	72	1	with	with	ADP
gra-72	72	2	the	the	DET
gra-72	72	3	help	help	NOUN
gra-72	72	4	of	of	ADP
gra-72	72	5	this	this	DET
gra-72	72	6	method	method	NOUN
gra-72	72	7	,	,	PUNCT
gra-72	72	8	alert	alert	NOUN
gra-72	72	9	related	relate	VERB
gra-72	72	10	to	to	ADP
gra-72	72	11	fraudulent	fraudulent	ADJ
gra-72	72	12	transactions	transaction	NOUN
gra-72	72	13	will	will	AUX
gra-72	72	14	be	be	AUX
gra-72	72	15	sent	send	VERB
gra-72	72	16	to	to	ADP
gra-72	72	17	the	the	DET
gra-72	72	18	card	card	NOUN
gra-72	72	19	owner	owner	NOUN
gra-72	72	20	and	and	CCONJ
gra-72	72	21	credit	credit	NOUN
gra-72	72	22	card	card	NOUN
gra-72	72	23	is	be	AUX
gra-72	72	24	blocked	block	VERB
gra-72	72	25	immediately	immediately	ADV
gra-72	72	26	[	[	X
gra-72	72	27	12	12	NUM
gra-72	72	28	]	]	PUNCT
gra-72	72	29	.	.	PUNCT
gra-72	73	1	the	the	DET
gra-72	73	2	value	value	NOUN
gra-72	73	3	generated	generate	VERB
gra-72	73	4	for	for	ADP
gra-72	73	5	hidden	hidden	ADJ
gra-72	73	6	markov	markov	NOUN
gra-72	73	7	model	model	NOUN
gra-72	73	8	outcome	outcome	NOUN
gra-72	73	9	is	be	AUX
gra-72	73	10	the	the	DET
gra-72	73	11	basis	basis	NOUN
gra-72	73	12	that	that	PRON
gra-72	73	13	decides	decide	VERB
gra-72	73	14	whether	whether	SCONJ
gra-72	73	15	the	the	DET
gra-72	73	16	transaction	transaction	NOUN
gra-72	73	17	is	be	AUX
gra-72	73	18	fraudulent	fraudulent	ADJ
gra-72	73	19	or	or	CCONJ
gra-72	73	20	not	not	PART
gra-72	73	21	.	.	PUNCT
gra-72	74	1	with	with	ADP
gra-72	74	2	the	the	DET
gra-72	74	3	help	help	NOUN
gra-72	74	4	of	of	ADP
gra-72	74	5	this	this	DET
gra-72	74	6	system	system	NOUN
gra-72	74	7	,	,	PUNCT
gra-72	74	8	all	all	DET
gra-72	74	9	the	the	DET
gra-72	74	10	marked	mark	VERB
gra-72	74	11	fraud	fraud	NOUN
gra-72	74	12	cases	case	NOUN
gra-72	74	13	among	among	ADP
gra-72	74	14	the	the	DET
gra-72	74	15	actual	actual	ADJ
gra-72	74	16	transactions	transaction	NOUN
gra-72	74	17	can	can	AUX
gra-72	74	18	be	be	AUX
gra-72	74	19	minimized	minimize	VERB
gra-72	74	20	using	use	VERB
gra-72	74	21	this	this	PRON
gra-72	74	22	by	by	ADP
gra-72	74	23	comparing	compare	VERB
gra-72	74	24	the	the	DET
gra-72	74	25	rate	rate	NOUN
gra-72	74	26	of	of	ADP
gra-72	74	27	false	false	ADJ
gra-72	74	28	alarms	alarm	NOUN
gra-72	74	29	that	that	PRON
gra-72	74	30	are	be	AUX
gra-72	74	31	achieved	achieve	VERB
gra-72	74	32	.	.	PUNCT
gra-72	75	1	in	in	ADP
gra-72	75	2	order	order	NOUN
gra-72	75	3	to	to	PART
gra-72	75	4	minimize	minimize	VERB
gra-72	75	5	the	the	DET
gra-72	75	6	false	false	ADJ
gra-72	75	7	alarm	alarm	NOUN
gra-72	75	8	rates	rate	NOUN
gra-72	75	9	and	and	CCONJ
gra-72	75	10	to	to	PART
gra-72	75	11	prevent	prevent	VERB
gra-72	75	12	frauds	fraud	NOUN
gra-72	75	13	they	they	PRON
gra-72	75	14	utilize	utilize	VERB
gra-72	75	15	the	the	DET
gra-72	75	16	streaming	streaming	NOUN
gra-72	75	17	analytics	analytic	NOUN
gra-72	75	18	.	.	PUNCT
gra-72	76	1	they	they	PRON
gra-72	76	2	proposed	propose	VERB
gra-72	76	3	a	a	DET
gra-72	76	4	model	model	NOUN
gra-72	76	5	and	and	CCONJ
gra-72	76	6	update	update	VERB
gra-72	76	7	it	it	PRON
gra-72	76	8	regularly	regularly	ADV
gra-72	76	9	on	on	ADP
gra-72	76	10	the	the	DET
gra-72	76	11	basis	basis	NOUN
gra-72	76	12	of	of	ADP
gra-72	76	13	collected	collect	VERB
gra-72	76	14	information	information	NOUN
gra-72	76	15	of	of	ADP
gra-72	76	16	genuine	genuine	ADJ
gra-72	76	17	card	card	NOUN
gra-72	76	18	holder	holder	NOUN
gra-72	76	19	.	.	PUNCT
gra-72	77	1	research	research	NOUN
gra-72	77	2	methodology	methodology	NOUN
gra-72	77	3	the	the	DET
gra-72	77	4	credit	credit	NOUN
gra-72	77	5	card	card	NOUN
gra-72	77	6	fraud	fraud	NOUN
gra-72	77	7	detection	detection	NOUN
gra-72	77	8	algorithm	algorithm	NOUN
gra-72	77	9	and	and	CCONJ
gra-72	77	10	data	datum	NOUN
gra-72	77	11	classication	classication	NOUN
gra-72	77	12	methods	method	NOUN
gra-72	77	13	were	be	AUX
gra-72	77	14	evaluated	evaluate	VERB
gra-72	77	15	by	by	ADP
gra-72	77	16	conducting	conduct	VERB
gra-72	77	17	a	a	DET
gra-72	77	18	detailed	detailed	ADJ
gra-72	77	19	literature	literature	NOUN
gra-72	77	20	study	study	NOUN
gra-72	77	21	in	in	ADP
gra-72	77	22	the	the	DET
gra-72	77	23	rst	rst	PROPN
gra-72	77	24	step	step	NOUN
gra-72	77	25	.	.	PUNCT
gra-72	78	1	this	this	PRON
gra-72	78	2	was	be	AUX
gra-72	78	3	done	do	VERB
gra-72	78	4	to	to	PART
gra-72	78	5	know	know	VERB
gra-72	78	6	their	their	PRON
gra-72	78	7	advantages	advantage	NOUN
gra-72	78	8	and	and	CCONJ
gra-72	78	9	limitations	limitation	NOUN
gra-72	78	10	.	.	PUNCT
gra-72	79	1	the	the	DET
gra-72	79	2	limitation	limitation	NOUN
gra-72	79	3	of	of	ADP
gra-72	79	4	the	the	DET
gra-72	79	5	existing	exist	VERB
gra-72	79	6	schemes	scheme	NOUN
gra-72	79	7	is	be	AUX
gra-72	79	8	overcome	overcome	VERB
gra-72	79	9	by	by	ADP
gra-72	79	10	the	the	DET
gra-72	79	11	design	design	NOUN
gra-72	79	12	of	of	ADP
gra-72	79	13	proposed	propose	VERB
gra-72	79	14	security	security	NOUN
gra-72	79	15	solution	solution	NOUN
gra-72	79	16	that	that	PRON
gra-72	79	17	improves	improve	VERB
gra-72	79	18	the	the	DET
gra-72	79	19	structure	structure	NOUN
gra-72	79	20	of	of	ADP
gra-72	79	21	this	this	DET
gra-72	79	22	method	method	NOUN
gra-72	79	23	.	.	PUNCT
gra-72	80	1	in	in	ADP
gra-72	80	2	order	order	NOUN
gra-72	80	3	to	to	PART
gra-72	80	4	build	build	VERB
gra-72	80	5	a	a	DET
gra-72	80	6	robust	robust	ADJ
gra-72	80	7	system	system	NOUN
gra-72	80	8	,	,	PUNCT
gra-72	80	9	it	it	PRON
gra-72	80	10	combines	combine	VERB
gra-72	80	11	all	all	DET
gra-72	80	12	the	the	DET
gra-72	80	13	advantages	advantage	NOUN
gra-72	80	14	of	of	ADP
gra-72	80	15	the	the	DET
gra-72	80	16	system	system	NOUN
gra-72	80	17	together	together	ADV
gra-72	80	18	.	.	PUNCT
gra-72	81	1	for	for	ADP
gra-72	81	2	the	the	DET
gra-72	81	3	simulation	simulation	NOUN
gra-72	81	4	process	process	NOUN
gra-72	81	5	,	,	PUNCT
gra-72	81	6	they	they	PRON
gra-72	81	7	utilize	utilize	VERB
gra-72	81	8	the	the	DET
gra-72	81	9	python	python	NOUN
gra-72	81	10	simulator	simulator	NOUN
gra-72	81	11	in	in	ADP
gra-72	81	12	which	which	PRON
gra-72	81	13	the	the	DET
gra-72	81	14	proposed	propose	VERB
gra-72	81	15	solution	solution	NOUN
gra-72	81	16	is	be	AUX
gra-72	81	17	implemented	implement	VERB
gra-72	81	18	using	use	VERB
gra-72	81	19	all	all	DET
gra-72	81	20	essential	essential	ADJ
gra-72	81	21	input	input	NOUN
gra-72	81	22	and	and	CCONJ
gra-72	81	23	output	output	NOUN
gra-72	81	24	parameters	parameter	NOUN
gra-72	81	25	.	.	PUNCT
gra-72	82	1	after	after	ADV
gra-72	82	2	,	,	PUNCT
gra-72	82	3	implementation	implementation	NOUN
gra-72	82	4	of	of	ADP
gra-72	82	5	the	the	DET
gra-72	82	6	proposed	propose	VERB
gra-72	82	7	method	method	NOUN
gra-72	82	8	they	they	PRON
gra-72	82	9	analyze	analyze	VERB
gra-72	82	10	the	the	DET
gra-72	82	11	performance	performance	NOUN
gra-72	82	12	and	and	CCONJ
gra-72	82	13	compared	compare	VERB
gra-72	82	14	this	this	DET
gra-72	82	15	method	method	NOUN
gra-72	82	16	with	with	ADP
gra-72	82	17	the	the	DET
gra-72	82	18	existing	exist	VERB
gra-72	82	19	.	.	PUNCT
gra-72	83	1	from	from	ADP
gra-72	83	2	last	last	ADJ
gra-72	83	3	10	10	NUM
gra-72	83	4	years	year	NOUN
gra-72	83	5	,	,	PUNCT
gra-72	83	6	the	the	DET
gra-72	83	7	historical	historical	ADJ
gra-72	83	8	data	datum	NOUN
gra-72	83	9	of	of	ADP
gra-72	83	10	the	the	DET
gra-72	83	11	credit	credit	NOUN
gra-72	83	12	cards	card	NOUN
gra-72	83	13	has	have	AUX
gra-72	83	14	been	be	AUX
gra-72	83	15	utilized	utilize	VERB
gra-72	83	16	for	for	ADP
gra-72	83	17	the	the	DET
gra-72	83	18	process	process	NOUN
gra-72	83	19	of	of	ADP
gra-72	83	20	input	input	NOUN
gra-72	83	21	data	datum	NOUN
gra-72	83	22	acquisition	acquisition	NOUN
gra-72	83	23	.	.	PUNCT
gra-72	84	1	in	in	ADP
gra-72	84	2	the	the	DET
gra-72	84	3	historical	historical	ADJ
gra-72	84	4	data	datum	NOUN
gra-72	84	5	,	,	PUNCT
gra-72	84	6	all	all	DET
gra-72	84	7	the	the	DET
gra-72	84	8	details	detail	NOUN
gra-72	84	9	of	of	ADP
gra-72	84	10	transactions	transaction	NOUN
gra-72	84	11	of	of	ADP
gra-72	84	12	every	every	DET
gra-72	84	13	day	day	NOUN
gra-72	84	14	is	be	AUX
gra-72	84	15	present	present	ADJ
gra-72	84	16	which	which	PRON
gra-72	84	17	provides	provide	VERB
gra-72	84	18	the	the	DET
gra-72	84	19	information	information	NOUN
gra-72	84	20	to	to	ADP
gra-72	84	21	user	user	NOUN
gra-72	84	22	when	when	SCONJ
gra-72	84	23	the	the	DET
gra-72	84	24	amount	amount	NOUN
gra-72	84	25	is	be	AUX
gra-72	84	26	withdrawn	withdraw	VERB
gra-72	84	27	and	and	CCONJ
gra-72	84	28	by	by	ADP
gra-72	84	29	what	what	DET
gra-72	84	30	time	time	NOUN
gra-72	84	31	and	and	CCONJ
gra-72	84	32	from	from	ADP
gra-72	84	33	which	which	DET
gra-72	84	34	location	location	NOUN
gra-72	84	35	.	.	PUNCT
gra-72	85	1	by	by	ADP
gra-72	85	2	collecting	collect	VERB
gra-72	85	3	the	the	DET
gra-72	85	4	regression	regression	NOUN
gra-72	85	5	models	model	NOUN
gra-72	85	6	with	with	ADP
gra-72	85	7	squared	square	VERB
gra-72	85	8	distance	distance	NOUN
gra-72	85	9	,	,	PUNCT
gra-72	85	10	they	they	PRON
gra-72	85	11	designed	design	VERB
gra-72	85	12	the	the	DET
gra-72	85	13	proposed	propose	VERB
gra-72	85	14	model	model	NOUN
gra-72	85	15	during	during	ADP
gra-72	85	16	the	the	DET
gra-72	85	17	process	process	NOUN
gra-72	85	18	of	of	ADP
gra-72	85	19	implementation	implementation	NOUN
gra-72	85	20	for	for	ADP
gra-72	85	21	classication	classication	NOUN
gra-72	85	22	.	.	PUNCT
gra-72	86	1	this	this	PRON
gra-72	86	2	was	be	AUX
gra-72	86	3	done	do	VERB
gra-72	86	4	for	for	ADP
gra-72	86	5	processing	processing	NOUN
gra-72	86	6	of	of	ADP
gra-72	86	7	historical	historical	ADJ
gra-72	86	8	data	datum	NOUN
gra-72	86	9	which	which	PRON
gra-72	86	10	has	have	AUX
gra-72	86	11	been	be	AUX
gra-72	86	12	utilized	utilize	VERB
gra-72	86	13	for	for	ADP
gra-72	86	14	the	the	DET
gra-72	86	15	long	long	ADJ
gra-72	86	16	term	term	NOUN
gra-72	86	17	prediction	prediction	NOUN
gra-72	86	18	.	.	PUNCT
gra-72	87	1	the	the	DET
gra-72	87	2	classication	classication	NOUN
gra-72	87	3	of	of	ADP
gra-72	87	4	the	the	DET
gra-72	87	5	input	input	NOUN
gra-72	87	6	data	datum	NOUN
gra-72	87	7	into	into	ADP
gra-72	87	8	the	the	DET
gra-72	87	9	normal	normal	ADJ
gra-72	87	10	and	and	CCONJ
gra-72	87	11	fraud	fraud	NOUN
gra-72	87	12	transactions	transaction	NOUN
gra-72	87	13	can	can	AUX
gra-72	87	14	be	be	AUX
gra-72	87	15	done	do	VERB
gra-72	87	16	using	use	VERB
gra-72	87	17	svm	svm	PROPN
gra-72	87	18	classier	classier	PROPN
gra-72	87	19	in	in	ADP
gra-72	87	20	this	this	DET
gra-72	87	21	research	research	NOUN
gra-72	87	22	work	work	NOUN
gra-72	87	23	.	.	PUNCT
gra-72	88	1	the	the	DET
gra-72	88	2	svm	svm	ADJ
gra-72	88	3	classication	classication	NOUN
gra-72	88	4	is	be	AUX
gra-72	88	5	also	also	ADV
gra-72	88	6	known	know	VERB
gra-72	88	7	as	as	ADP
gra-72	88	8	a	a	DET
gra-72	88	9	predictive	predictive	ADJ
gra-72	88	10	model	model	NOUN
gra-72	88	11	which	which	PRON
gra-72	88	12	has	have	AUX
gra-72	88	13	been	be	AUX
gra-72	88	14	utilized	utilize	VERB
gra-72	88	15	for	for	ADP
gra-72	88	16	the	the	DET
gra-72	88	17	text	text	NOUN
gra-72	88	18	categorization	categorization	NOUN
gra-72	88	19	.	.	PUNCT
gra-72	89	1	the	the	DET
gra-72	89	2	used	use	VERB
gra-72	89	3	input	input	NOUN
gra-72	89	4	here	here	ADV
gra-72	89	5	is	be	AUX
gra-72	89	6	data	datum	NOUN
gra-72	89	7	and	and	CCONJ
gra-72	89	8	output	output	NOUN
gra-72	89	9	is	be	AUX
gra-72	89	10	the	the	DET
gra-72	89	11	classied	classied	PROPN
gra-72	89	12	data	datum	NOUN
gra-72	89	13	given	give	VERB
gra-72	89	14	in	in	ADP
gra-72	89	15	two	two	NUM
gra-72	89	16	categories	category	NOUN
gra-72	89	17	.	.	PUNCT
gra-72	90	1	with	with	ADP
gra-72	90	2	the	the	DET
gra-72	90	3	help	help	NOUN
gra-72	90	4	of	of	ADP
gra-72	90	5	svm	svm	ADJ
gra-72	90	6	training	training	NOUN
gra-72	90	7	algorithm	algorithm	NOUN
gra-72	90	8	,	,	PUNCT
gra-72	90	9	a	a	DET
gra-72	90	10	model	model	NOUN
gra-72	90	11	is	be	AUX
gra-72	90	12	implemented	implement	VERB
gra-72	90	13	for	for	ADP
gra-72	90	14	the	the	DET
gra-72	90	15	amount	amount	NOUN
gra-72	90	16	of	of	ADP
gra-72	90	17	text	text	NOUN
gra-72	90	18	where	where	SCONJ
gra-72	90	19	each	each	DET
gra-72	90	20	training	training	NOUN
gra-72	90	21	example	example	NOUN
gra-72	90	22	belongs	belong	VERB
gra-72	90	23	to	to	ADP
gra-72	90	24	one	one	NUM
gra-72	90	25	of	of	ADP
gra-72	90	26	the	the	DET
gra-72	90	27	two	two	NUM
gra-72	90	28	classes	class	NOUN
gra-72	90	29	.	.	PUNCT
gra-72	91	1	the	the	DET
gra-72	91	2	data	data	NOUN
gra-72	91	3	is	be	AUX
gra-72	91	4	divided	divide	VERB
gra-72	91	5	into	into	ADP
gra-72	91	6	two	two	NUM
gra-72	91	7	categories	category	NOUN
gra-72	91	8	by	by	ADP
gra-72	91	9	constructing	construct	VERB
gra-72	91	10	n	n	CCONJ
gra-72	91	11	-	-	PUNCT
gra-72	91	12	dimensional	dimensional	ADJ
gra-72	91	13	hyperplane	hyperplane	NOUN
gra-72	91	14	.	.	PUNCT
gra-72	92	1	on	on	ADP
gra-72	92	2	the	the	DET
gra-72	92	3	each	each	DET
gra-72	92	4	side	side	NOUN
gra-72	92	5	of	of	ADP
gra-72	92	6	the	the	DET
gra-72	92	7	hyper	hyper	ADJ
gra-72	92	8	plane	plane	NOUN
gra-72	92	9	,	,	PUNCT
gra-72	92	10	they	they	PRON
gra-72	92	11	generated	generate	VERB
gra-72	92	12	two	two	NUM
gra-72	92	13	parallel	parallel	ADJ
gra-72	92	14	hyper	hyper	ADJ
gra-72	92	15	planes	plane	NOUN
gra-72	92	16	so	so	SCONJ
gra-72	92	17	that	that	SCONJ
gra-72	92	18	data	datum	NOUN
gra-72	92	19	can	can	AUX
gra-72	92	20	be	be	AUX
gra-72	92	21	separated	separate	VERB
gra-72	92	22	easily	easily	ADV
gra-72	92	23	.	.	PUNCT
gra-72	93	1	hence	hence	ADV
gra-72	93	2	,	,	PUNCT
gra-72	93	3	by	by	ADP
gra-72	93	4	separating	separate	VERB
gra-72	93	5	the	the	DET
gra-72	93	6	hyper	hyper	ADJ
gra-72	93	7	planes	plane	NOUN
gra-72	93	8	,	,	PUNCT
gra-72	93	9	there	there	PRON
gra-72	93	10	is	be	VERB
gra-72	93	11	increase	increase	NOUN
gra-72	93	12	in	in	ADP
gra-72	93	13	the	the	DET
gra-72	93	14	distance	distance	NOUN
gra-72	93	15	between	between	ADP
gra-72	93	16	the	the	DET
gra-72	93	17	two	two	NUM
gra-72	93	18	hyper	hyper	ADJ
gra-72	93	19	planes	plane	NOUN
gra-72	93	20	.	.	PUNCT
gra-72	94	1	in	in	ADP
gra-72	94	2	association	association	NOUN
gra-72	94	3	to	to	ADP
gra-72	94	4	the	the	DET
gra-72	94	5	partitioning	partitioning	ADJ
gra-72	94	6	hyper	hyper	ADJ
gra-72	94	7	plane	plane	NOUN
gra-72	94	8	f(x	f(x	PROPN
gra-72	94	9	)	)	PUNCT
gra-72	94	10	divides	divide	VERB
gra-72	94	11	the	the	DET
gra-72	94	12	two	two	NUM
gra-72	94	13	classes	class	NOUN
gra-72	94	14	when	when	SCONJ
gra-72	94	15	it	it	PRON
gra-72	94	16	passes	pass	VERB
gra-72	94	17	through	through	ADP
gra-72	94	18	middle	middle	ADJ
gra-72	94	19	.	.	PUNCT
gra-72	95	1	for	for	ADP
gra-72	95	2	the	the	DET
gra-72	95	3	creation	creation	NOUN
gra-72	95	4	of	of	ADP
gra-72	95	5	the	the	DET
gra-72	95	6	linear	linear	ADJ
gra-72	95	7	classication	classication	NOUN
gra-72	95	8	function	function	NOUN
gra-72	95	9	,	,	PUNCT
gra-72	95	10	there	there	PRON
gra-72	95	11	is	be	VERB
gra-72	95	12	a	a	DET
gra-72	95	13	linearly	linearly	ADV
gra-72	95	14	separable	separable	ADJ
gra-72	95	15	data	datum	NOUN
gra-72	95	16	set	set	NOUN
gra-72	95	17	.	.	PUNCT
gra-72	96	1	the	the	DET
gra-72	96	2	testing	testing	NOUN
gra-72	96	3	of	of	ADP
gra-72	96	4	sign	sign	NOUN
gra-72	96	5	of	of	ADP
gra-72	96	6	function	function	NOUN
gra-72	96	7	f(xn	f(xn	ADV
gra-72	96	8	)	)	PUNCT
gra-72	96	9	easily	easily	ADV
gra-72	96	10	test	test	VERB
gra-72	96	11	and	and	CCONJ
gra-72	96	12	classify	classify	VERB
gra-72	96	13	the	the	DET
gra-72	96	14	new	new	ADJ
gra-72	96	15	data	data	NOUN
gra-72	96	16	instance	instance	NOUN
gra-72	96	17	,	,	PUNCT
gra-72	96	18	xn	xn	PROPN
gra-72	96	19	when	when	SCONJ
gra-72	96	20	it	it	PRON
gra-72	96	21	determine	determine	VERB
gra-72	96	22	the	the	DET
gra-72	96	23	function	function	NOUN
gra-72	96	24	.	.	PUNCT
gra-72	97	1	:	:	PUNCT
gra-72	97	2	where	where	SCONJ
gra-72	97	3	xn	xn	PROPN
gra-72	97	4	belongs	belong	VERB
gra-72	97	5	to	to	ADP
gra-72	97	6	a	a	DET
gra-72	97	7	positive	positive	ADJ
gra-72	97	8	class	class	NOUN
gra-72	97	9	if	if	SCONJ
gra-72	97	10	f(xn	f(xn	NOUN
gra-72	97	11	)	)	PUNCT
gra-72	97	12	>	>	X
gra-72	97	13	0	0	PUNCT
gra-72	98	1	the	the	DET
gra-72	98	2	generalization	generalization	NOUN
gra-72	98	3	of	of	ADP
gra-72	98	4	the	the	DET
gra-72	98	5	error	error	NOUN
gra-72	98	6	of	of	ADP
gra-72	98	7	the	the	DET
gra-72	98	8	classier	classier	PROPN
gra-72	98	9	for	for	ADP
gra-72	98	10	the	the	DET
gra-72	98	11	larger	large	ADJ
gra-72	98	12	distance	distance	NOUN
gra-72	98	13	or	or	CCONJ
gra-72	98	14	margin	margin	NOUN
gra-72	98	15	can	can	AUX
gra-72	98	16	be	be	AUX
gra-72	98	17	done	do	VERB
gra-72	98	18	in	in	ADP
gra-72	98	19	an	an	DET
gra-72	98	20	optimal	optimal	ADJ
gra-72	98	21	way	way	NOUN
gra-72	98	22	.	.	PUNCT
gra-72	99	1	this	this	DET
gra-72	99	2	algorithm	algorithm	NOUN
gra-72	99	3	functioning	function	VERB
gra-72	99	4	is	be	AUX
gra-72	99	5	very	very	ADV
gra-72	99	6	good	good	ADJ
gra-72	99	7	in	in	ADP
gra-72	99	8	concern	concern	NOUN
gra-72	99	9	with	with	ADP
gra-72	99	10	high	high	ADJ
gra-72	99	11	dimensional	dimensional	ADJ
gra-72	99	12	feature	feature	NOUN
gra-72	99	13	set	set	NOUN
gra-72	99	14	.	.	PUNCT
gra-72	100	1	for	for	ADP
gra-72	100	2	the	the	DET
gra-72	100	3	creation	creation	NOUN
gra-72	100	4	of	of	ADP
gra-72	100	5	the	the	DET
gra-72	100	6	new	new	ADJ
gra-72	100	7	linearly	linearly	ADV
gra-72	100	8	separable	separable	ADJ
gra-72	100	9	data	datum	NOUN
gra-72	100	10	they	they	PRON
gra-72	100	11	utilize	utilize	VERB
gra-72	100	12	the	the	DET
gra-72	100	13	kernel	kernel	NOUN
gra-72	100	14	trick	trick	NOUN
gra-72	100	15	in	in	ADP
gra-72	100	16	which	which	PRON
gra-72	100	17	nonlinearly	nonlinearly	ADV
gra-72	100	18	separable	separable	ADJ
gra-72	100	19	data	datum	NOUN
gra-72	100	20	is	be	AUX
gra-72	100	21	transferred	transfer	VERB
gra-72	100	22	.	.	PUNCT
gra-72	101	1	svm	svm	PROPN
gra-72	101	2	classication	classication	NOUN
gra-72	101	3	has	have	AUX
gra-72	101	4	been	be	AUX
gra-72	101	5	utilized	utilize	VERB
gra-72	101	6	for	for	ADP
gra-72	101	7	the	the	DET
gra-72	101	8	calculation	calculation	NOUN
gra-72	101	9	of	of	ADP
gra-72	101	10	regression	regression	NOUN
gra-72	101	11	analysis	analysis	NOUN
gra-72	101	12	and	and	CCONJ
gra-72	101	13	to	to	PART
gra-72	101	14	perform	perform	VERB
gra-72	101	15	numerical	numerical	ADJ
gra-72	101	16	calculations	calculation	NOUN
gra-72	101	17	.	.	PUNCT
gra-72	102	1	this	this	DET
gra-72	102	2	algorithm	algorithm	NOUN
gra-72	102	3	is	be	AUX
gra-72	102	4	also	also	ADV
gra-72	102	5	useful	useful	ADJ
gra-72	102	6	in	in	ADP
gra-72	102	7	ranking	rank	VERB
gra-72	102	8	the	the	DET
gra-72	102	9	elements	element	NOUN
gra-72	102	10	.	.	PUNCT
gra-72	103	1	there	there	PRON
gra-72	103	2	are	be	VERB
gra-72	103	3	various	various	ADJ
gra-72	103	4	attributes	attribute	NOUN
gra-72	103	5	present	present	ADJ
gra-72	103	6	on	on	ADP
gra-72	103	7	the	the	DET
gra-72	103	8	dataset	dataset	NOUN
gra-72	103	9	of	of	ADP
gra-72	103	10	the	the	DET
gra-72	103	11	svm	svm	NOUN
gra-72	103	12	and	and	CCONJ
gra-72	103	13	it	it	PRON
gra-72	103	14	performance	performance	NOUN
gra-72	103	15	is	be	AUX
gra-72	103	16	good	good	ADJ
gra-72	103	17	as	as	SCONJ
gra-72	103	18	only	only	ADV
gra-72	103	19	specic	specic	NOUN
gra-72	103	20	cases	case	NOUN
gra-72	103	21	can	can	AUX
gra-72	103	22	be	be	AUX
gra-72	103	23	accessed	access	VERB
gra-72	103	24	for	for	ADP
gra-72	103	25	training	training	NOUN
gra-72	103	26	purpose	purpose	NOUN
gra-72	103	27	which	which	PRON
gra-72	103	28	is	be	AUX
gra-72	103	29	considered	consider	VERB
gra-72	103	30	as	as	ADP
gra-72	103	31	the	the	DET
gra-72	103	32	advantage	advantage	NOUN
gra-72	103	33	of	of	ADP
gra-72	103	34	svm	svm	PROPN
gra-72	103	35	.	.	PUNCT
gra-72	104	1	but	but	CCONJ
gra-72	104	2	,	,	PUNCT
gra-72	104	3	it	it	PRON
gra-72	104	4	has	have	VERB
gra-72	104	5	limitation	limitation	NOUN
gra-72	104	6	of	of	ADP
gra-72	104	7	speed	speed	NOUN
gra-72	104	8	and	and	CCONJ
gra-72	104	9	size	size	NOUN
gra-72	104	10	which	which	PRON
gra-72	104	11	occur	occur	VERB
gra-72	104	12	during	during	ADP
gra-72	104	13	the	the	DET
gra-72	104	14	training	training	NOUN
gra-72	104	15	and	and	CCONJ
gra-72	104	16	testing	testing	NOUN
gra-72	104	17	phase	phase	NOUN
gra-72	104	18	of	of	ADP
gra-72	104	19	svm	svm	PROPN
gra-72	104	20	.	.	PUNCT
gra-72	105	1	it	it	PRON
gra-72	105	2	is	be	AUX
gra-72	105	3	not	not	PART
gra-72	105	4	easy	easy	ADJ
gra-72	105	5	to	to	PART
gra-72	105	6	choose	choose	VERB
gra-72	105	7	the	the	DET
gra-72	105	8	parameters	parameter	NOUN
gra-72	105	9	of	of	ADP
gra-72	105	10	kernel	kernel	PROPN
gra-72	105	11	function	function	PROPN
gra-72	105	12	hence	hence	ADV
gra-72	105	13	,	,	PUNCT
gra-72	105	14	consider	consider	VERB
gra-72	105	15	as	as	ADP
gra-72	105	16	disadvantage	disadvantage	NOUN
gra-72	105	17	of	of	ADP
gra-72	105	18	algorithm	algorithm	NOUN
gra-72	105	19	.	.	PUNCT
gra-72	106	1	fig	fig	NOUN
gra-72	106	2	1	1	NUM
gra-72	106	3	:	:	PUNCT
gra-72	106	4	proposed	propose	VERB
gra-72	106	5	flowchart	flowchart	PROPN
gra-72	106	6	experimental	experimental	PROPN
gra-72	106	7	results	result	VERB
gra-72	106	8	the	the	DET
gra-72	106	9	proposed	propose	VERB
gra-72	106	10	technique	technique	NOUN
gra-72	106	11	has	have	AUX
gra-72	106	12	been	be	AUX
gra-72	106	13	implemented	implement	VERB
gra-72	106	14	in	in	ADP
gra-72	106	15	python	python	NOUN
gra-72	106	16	and	and	CCONJ
gra-72	106	17	the	the	DET
gra-72	106	18	results	result	NOUN
gra-72	106	19	have	have	AUX
gra-72	106	20	been	be	AUX
gra-72	106	21	analyzed	analyze	VERB
gra-72	106	22	in	in	ADP
gra-72	106	23	terms	term	NOUN
gra-72	106	24	of	of	ADP
gra-72	106	25	accuracy	accuracy	NOUN
gra-72	106	26	as	as	SCONJ
gra-72	106	27	shown	show	VERB
gra-72	106	28	below	below	ADP
gra-72	106	29	.	.	PUNCT
gra-72	107	1	volume-8	volume-8	NUM
gra-72	107	2	,	,	PUNCT
gra-72	107	3	issue-9	issue-9	NUM
gra-72	107	4	,	,	PUNCT
gra-72	107	5	september-2019	september-2019	ADJ
gra-72	107	6	•	•	NUM
gra-72	107	7	print	print	NOUN
gra-72	107	8	issn	issn	PROPN
gra-72	107	9	no	no	NOUN
gra-72	107	10	.	.	PROPN
gra-72	108	1	2277	2277	NUM
gra-72	108	2	8160	8160	NUM
gra-72	108	3	•	•	NOUN
gra-72	108	4	doi	doi	NOUN
gra-72	108	5	:	:	PUNCT
gra-72	108	6	10.36106	10.36106	NUM
gra-72	108	7	/	/	SYM
gra-72	108	8	gjra	gjra	NOUN
gra-72	108	9	x	x	SYM
gra-72	108	10	97gjra	97gjra	NUM
gra-72	108	11	global	global	ADJ
gra-72	108	12	journal	journal	PROPN
gra-72	108	13	for	for	ADP
gra-72	108	14	research	research	NOUN
gra-72	108	15	analysis	analysis	NOUN
gra-72	108	16	figure	figure	NOUN
gra-72	108	17	2	2	NUM
gra-72	108	18	:	:	PUNCT
gra-72	108	19	accuracy	accuracy	NOUN
gra-72	108	20	comparison	comparison	NOUN
gra-72	108	21	as	as	SCONJ
gra-72	108	22	shown	show	VERB
gra-72	108	23	in	in	ADP
gra-72	108	24	gure	gure	NOUN
gra-72	108	25	2	2	NUM
gra-72	108	26	,	,	PUNCT
gra-72	108	27	the	the	DET
gra-72	108	28	accuracy	accuracy	NOUN
gra-72	108	29	of	of	ADP
gra-72	108	30	proposed	propose	VERB
gra-72	108	31	and	and	CCONJ
gra-72	108	32	existing	exist	VERB
gra-72	108	33	algorithms	algorithms	NOUN
gra-72	108	34	is	be	AUX
gra-72	108	35	compared	compare	VERB
gra-72	108	36	and	and	CCONJ
gra-72	108	37	it	it	PRON
gra-72	108	38	is	be	AUX
gra-72	108	39	analyzed	analyze	VERB
gra-72	108	40	that	that	SCONJ
gra-72	108	41	proposed	propose	VERB
gra-72	108	42	algoirhtm	algoirhtm	PROPN
gra-72	108	43	performs	perform	VERB
gra-72	108	44	well	well	ADV
gra-72	108	45	in	in	ADP
gra-72	108	46	terms	term	NOUN
gra-72	108	47	of	of	ADP
gra-72	108	48	accuracy	accuracy	NOUN
gra-72	108	49	.	.	PUNCT
gra-72	109	1	figure	figure	NOUN
gra-72	109	2	3	3	NUM
gra-72	109	3	:	:	PUNCT
gra-72	109	4	recall	recall	VERB
gra-72	109	5	analysis	analysis	NOUN
gra-72	109	6	as	as	SCONJ
gra-72	109	7	illustrated	illustrate	VERB
gra-72	109	8	in	in	ADP
gra-72	109	9	gure	gure	NOUN
gra-72	109	10	3	3	NUM
gra-72	109	11	,	,	PUNCT
gra-72	109	12	the	the	DET
gra-72	109	13	recall	recall	NOUN
gra-72	109	14	of	of	ADP
gra-72	109	15	voting	voting	NOUN
gra-72	109	16	based	base	VERB
gra-72	109	17	classication	classication	NOUN
gra-72	109	18	method	method	NOUN
gra-72	109	19	is	be	AUX
gra-72	109	20	compared	compare	VERB
gra-72	109	21	hybrid	hybrid	ADJ
gra-72	109	22	classication	classication	NOUN
gra-72	109	23	model	model	NOUN
gra-72	109	24	.	.	PUNCT
gra-72	110	1	the	the	DET
gra-72	110	2	hybrid	hybrid	ADJ
gra-72	110	3	classication	classication	NOUN
gra-72	110	4	model	model	NOUN
gra-72	110	5	is	be	AUX
gra-72	110	6	more	more	ADJ
gra-72	110	7	recall	recall	NOUN
gra-72	110	8	as	as	ADP
gra-72	110	9	compared	compare	VERB
gra-72	110	10	to	to	ADP
gra-72	110	11	voting	vote	VERB
gra-72	110	12	based	base	VERB
gra-72	110	13	classication	classication	NOUN
gra-72	110	14	method	method	NOUN
gra-72	110	15	for	for	ADP
gra-72	110	16	credit	credit	NOUN
gra-72	110	17	card	card	NOUN
gra-72	110	18	fraud	fraud	NOUN
gra-72	110	19	detection	detection	NOUN
gra-72	110	20	.	.	PUNCT
gra-72	111	1	figure	figure	VERB
gra-72	111	2	4	4	NUM
gra-72	111	3	:	:	PUNCT
gra-72	111	4	execution	execution	NOUN
gra-72	111	5	time	time	NOUN
gra-72	111	6	the	the	DET
gra-72	111	7	execution	execution	NOUN
gra-72	111	8	time	time	NOUN
gra-72	111	9	of	of	ADP
gra-72	111	10	the	the	DET
gra-72	111	11	voting	voting	NOUN
gra-72	111	12	and	and	CCONJ
gra-72	111	13	hybrid	hybrid	ADJ
gra-72	111	14	classication	classication	NOUN
gra-72	111	15	is	be	AUX
gra-72	111	16	compared	compare	VERB
gra-72	111	17	in	in	ADP
gra-72	111	18	the	the	DET
gra-72	111	19	gure	gure	NOUN
gra-72	111	20	4	4	NUM
gra-72	111	21	.	.	PUNCT
gra-72	112	1	the	the	DET
gra-72	112	2	execution	execution	NOUN
gra-72	112	3	time	time	NOUN
gra-72	112	4	of	of	ADP
gra-72	112	5	the	the	DET
gra-72	112	6	hybrid	hybrid	ADJ
gra-72	112	7	classication	classication	NOUN
gra-72	112	8	method	method	NOUN
gra-72	112	9	is	be	AUX
gra-72	112	10	low	low	ADJ
gra-72	112	11	as	as	SCONJ
gra-72	112	12	compared	compare	VERB
gra-72	112	13	to	to	ADP
gra-72	112	14	voting	vote	VERB
gra-72	112	15	based	base	VERB
gra-72	112	16	classication	classication	NOUN
gra-72	112	17	method	method	NOUN
gra-72	112	18	for	for	ADP
gra-72	112	19	credit	credit	NOUN
gra-72	112	20	card	card	NOUN
gra-72	112	21	fraud	fraud	NOUN
gra-72	112	22	detection	detection	NOUN
gra-72	112	23	conclusion	conclusion	NOUN
gra-72	112	24	data	datum	NOUN
gra-72	112	25	mining	mining	NOUN
gra-72	112	26	is	be	AUX
gra-72	112	27	the	the	DET
gra-72	112	28	technique	technique	NOUN
gra-72	112	29	using	use	VERB
gra-72	112	30	which	which	PRON
gra-72	112	31	essential	essential	ADJ
gra-72	112	32	information	information	NOUN
gra-72	112	33	can	can	AUX
gra-72	112	34	be	be	AUX
gra-72	112	35	easily	easily	ADV
gra-72	112	36	extracted	extract	VERB
gra-72	112	37	from	from	ADP
gra-72	112	38	the	the	DET
gra-72	112	39	large	large	ADJ
gra-72	112	40	amount	amount	NOUN
gra-72	112	41	of	of	ADP
gra-72	112	42	data	datum	NOUN
gra-72	112	43	.	.	PUNCT
gra-72	113	1	prediction	prediction	NOUN
gra-72	113	2	analysis	analysis	NOUN
gra-72	113	3	is	be	AUX
gra-72	113	4	considered	consider	VERB
gra-72	113	5	as	as	ADP
gra-72	113	6	the	the	DET
gra-72	113	7	application	application	NOUN
gra-72	113	8	of	of	ADP
gra-72	113	9	credit	credit	NOUN
gra-72	113	10	card	card	NOUN
gra-72	113	11	fraud	fraud	NOUN
gra-72	113	12	detection	detection	NOUN
gra-72	113	13	.	.	PUNCT
gra-72	114	1	the	the	DET
gra-72	114	2	prediction	prediction	NOUN
gra-72	114	3	of	of	ADP
gra-72	114	4	future	future	ADJ
gra-72	114	5	data	datum	NOUN
gra-72	114	6	in	in	ADP
gra-72	114	7	the	the	DET
gra-72	114	8	prediction	prediction	NOUN
gra-72	114	9	analysis	analysis	NOUN
gra-72	114	10	has	have	AUX
gra-72	114	11	been	be	AUX
gra-72	114	12	done	do	VERB
gra-72	114	13	using	use	VERB
gra-72	114	14	current	current	ADJ
gra-72	114	15	information	information	NOUN
gra-72	114	16	.	.	PUNCT
gra-72	115	1	the	the	DET
gra-72	115	2	implementation	implementation	NOUN
gra-72	115	3	of	of	ADP
gra-72	115	4	neural	neural	ADJ
gra-72	115	5	networks	network	NOUN
gra-72	115	6	was	be	AUX
gra-72	115	7	done	do	VERB
gra-72	115	8	in	in	ADP
gra-72	115	9	the	the	DET
gra-72	115	10	existing	exist	VERB
gra-72	115	11	techniques	technique	NOUN
gra-72	115	12	by	by	ADP
gra-72	115	13	which	which	PRON
gra-72	115	14	input	input	NOUN
gra-72	115	15	data	data	NOUN
gra-72	115	16	is	be	AUX
gra-72	115	17	learned	learn	VERB
gra-72	115	18	that	that	PRON
gra-72	115	19	drive	drive	VERB
gra-72	115	20	the	the	DET
gra-72	115	21	future	future	ADJ
gra-72	115	22	values	value	NOUN
gra-72	115	23	.	.	PUNCT
gra-72	116	1	for	for	ADP
gra-72	116	2	the	the	DET
gra-72	116	3	classication	classication	NOUN
gra-72	116	4	of	of	ADP
gra-72	116	5	normal	normal	ADJ
gra-72	116	6	and	and	CCONJ
gra-72	116	7	fraud	fraud	NOUN
gra-72	116	8	transactions	transaction	NOUN
gra-72	116	9	,	,	PUNCT
gra-72	116	10	they	they	PRON
gra-72	116	11	implemented	implement	VERB
gra-72	116	12	the	the	DET
gra-72	116	13	classication	classication	NOUN
gra-72	116	14	technique	technique	NOUN
gra-72	116	15	in	in	ADP
gra-72	116	16	this	this	DET
gra-72	116	17	work	work	NOUN
gra-72	116	18	.	.	PUNCT
gra-72	117	1	the	the	DET
gra-72	117	2	whole	whole	ADJ
gra-72	117	3	data	datum	NOUN
gra-72	117	4	is	be	AUX
gra-72	117	5	divided	divide	VERB
gra-72	117	6	into	into	ADP
gra-72	117	7	test	test	NOUN
gra-72	117	8	and	and	CCONJ
gra-72	117	9	training	training	NOUN
gra-72	117	10	sets	set	NOUN
gra-72	117	11	,	,	PUNCT
gra-72	117	12	by	by	ADP
gra-72	117	13	applying	apply	VERB
gra-72	117	14	the	the	DET
gra-72	117	15	svm	svm	NOUN
gra-72	117	16	classier	classier	PROPN
gra-72	117	17	in	in	ADP
gra-72	117	18	this	this	DET
gra-72	117	19	work	work	NOUN
gra-72	117	20	.	.	PUNCT
gra-72	118	1	here	here	ADV
gra-72	118	2	,	,	PUNCT
gra-72	118	3	input	input	NOUN
gra-72	118	4	is	be	AUX
gra-72	118	5	the	the	DET
gra-72	118	6	test	test	NOUN
gra-72	118	7	and	and	CCONJ
gra-72	118	8	training	training	NOUN
gra-72	118	9	set	set	NOUN
gra-72	118	10	which	which	PRON
gra-72	118	11	provides	provide	VERB
gra-72	118	12	the	the	DET
gra-72	118	13	future	future	ADJ
gra-72	118	14	values	value	NOUN
gra-72	118	15	.	.	PUNCT
gra-72	119	1	experimental	experimental	ADJ
gra-72	119	2	results	result	NOUN
gra-72	119	3	,	,	PUNCT
gra-72	119	4	evaluated	evaluate	VERB
gra-72	119	5	the	the	DET
gra-72	119	6	performance	performance	NOUN
gra-72	119	7	of	of	ADP
gra-72	119	8	proposed	propose	VERB
gra-72	119	9	modal	modal	NOUN
gra-72	119	10	as	as	ADP
gra-72	119	11	compared	compare	VERB
gra-72	119	12	to	to	ADP
gra-72	119	13	existing	exist	VERB
gra-72	119	14	technique	technique	NOUN
gra-72	119	15	in	in	ADP
gra-72	119	16	terms	term	NOUN
gra-72	119	17	of	of	ADP
gra-72	119	18	accuracy	accuracy	NOUN
gra-72	119	19	.	.	PUNCT
gra-72	120	1	references	reference	NOUN
gra-72	120	2	[	[	X
gra-72	120	3	1	1	NUM
gra-72	120	4	]	]	PUNCT
gra-72	120	5	k.	k.	PROPN
gra-72	120	6	c.	c.	PROPN
gra-72	120	7	tan	tan	PROPN
gra-72	120	8	,	,	PUNCT
gra-72	120	9	e.	e.	PROPN
gra-72	120	10	j.	j.	PROPN
gra-72	120	11	teoh	teoh	PROPN
gra-72	120	12	,	,	PUNCT
gra-72	120	13	q.	q.	PROPN
gra-72	120	14	yu	yu	PROPN
gra-72	120	15	,	,	PUNCT
gra-72	120	16	k.	k.	PROPN
gra-72	120	17	c.	c.	PROPN
gra-72	120	18	goh	goh	PROPN
gra-72	120	19	.	.	PUNCT
gra-72	120	20	,	,	PUNCT
gra-72	120	21	“	"	PUNCT
gra-72	120	22	a	a	DET
gra-72	120	23	hybrid	hybrid	ADJ
gra-72	120	24	evolutionary	evolutionary	ADJ
gra-72	120	25	algorithm	algorithm	NOUN
gra-72	120	26	for	for	ADP
gra-72	120	27	attribute	attribute	NOUN
gra-72	120	28	selection	selection	NOUN
gra-72	120	29	in	in	ADP
gra-72	120	30	data	data	NOUN
gra-72	120	31	mining	mining	NOUN
gra-72	120	32	”	"	PUNCT
gra-72	120	33	.	.	PUNCT
gra-72	121	1	expert	expert	ADJ
gra-72	121	2	system	system	NOUN
gra-72	121	3	with	with	ADP
gra-72	121	4	applications	application	NOUN
gra-72	121	5	2008	2008	NUM
gra-72	121	6	,	,	PUNCT
gra-72	121	7	elsevier	elsevier	NOUN
gra-72	122	1	[	[	X
gra-72	122	2	2	2	NUM
gra-72	122	3	]	]	PUNCT
gra-72	122	4	pardeep	pardeep	PROPN
gra-72	122	5	kumar	kumar	PROPN
gra-72	122	6	,	,	PUNCT
gra-72	122	7	nitin	nitin	PROPN
gra-72	122	8	,	,	PUNCT
gra-72	122	9	vivek	vivek	PROPN
gra-72	122	10	kumar	kumar	PROPN
gra-72	122	11	sehgal	sehgal	PROPN
gra-72	122	12	,	,	PUNCT
gra-72	122	13	durg	durg	PROPN
gra-72	122	14	singh	singh	PROPN
gra-72	122	15	chauhan	chauhan	PROPN
gra-72	122	16	.	.	PUNCT
gra-72	123	1	“	"	PUNCT
gra-72	123	2	selection	selection	NOUN
gra-72	123	3	of	of	ADP
gra-72	123	4	evolutionary	evolutionary	ADJ
gra-72	123	5	approach	approach	NOUN
gra-72	123	6	based	base	VERB
gra-72	123	7	hybrid	hybrid	ADJ
gra-72	123	8	data	datum	NOUN
gra-72	123	9	mining	mining	NOUN
gra-72	123	10	algorithms	algorithm	NOUN
gra-72	123	11	for	for	ADP
gra-72	123	12	decision	decision	NOUN
gra-72	123	13	support	support	NOUN
gra-72	123	14	systems	system	NOUN
gra-72	123	15	an	an	DET
gra-72	123	16	business	business	NOUN
gra-72	123	17	intelligence	intelligence	NOUN
gra-72	123	18	”	"	PUNCT
gra-72	123	19	,	,	PUNCT
gra-72	123	20	icacci	icacci	PROPN
gra-72	123	21	acm	acm	PROPN
gra-72	123	22	august	august	PROPN
gra-72	123	23	2012	2012	NUM
gra-72	123	24	chennai	chennai	PROPN
gra-72	123	25	,	,	PUNCT
gra-72	123	26	india	india	PROPN
gra-72	124	1	[	[	X
gra-72	124	2	3	3	X
gra-72	124	3	]	]	PUNCT
gra-72	124	4	mrutyunjaya	mrutyunjaya	NOUN
gra-72	124	5	panda	panda	NOUN
gra-72	124	6	,	,	PUNCT
gra-72	124	7	ajith	ajith	PROPN
gra-72	124	8	abraham	abraham	PROPN
gra-72	124	9	,	,	PUNCT
gra-72	124	10	“	"	PUNCT
gra-72	124	11	hybrid	hybrid	ADJ
gra-72	124	12	evolutionary	evolutionary	ADJ
gra-72	124	13	algorithms	algorithm	NOUN
gra-72	124	14	for	for	ADP
gra-72	124	15	classication	classication	NOUN
gra-72	124	16	data	datum	NOUN
gra-72	124	17	mining	mining	NOUN
gra-72	124	18	”	"	PUNCT
gra-72	124	19	,	,	PUNCT
gra-72	124	20	springer	springer	NOUN
gra-72	124	21	,	,	PUNCT
gra-72	124	22	10	10	NUM
gra-72	124	23	august	august	NOUN
gra-72	124	24	2014	2014	NUM
gra-72	125	1	[	[	X
gra-72	125	2	4	4	NUM
gra-72	125	3	]	]	X
gra-72	125	4	rana	rana	PROPN
gra-72	125	5	forsati	forsati	PROPN
gra-72	125	6	,	,	PUNCT
gra-72	125	7	mohammadreza	mohammadreza	PROPN
gra-72	125	8	meybodi	meybodi	PROPN
gra-72	125	9	,	,	PUNCT
gra-72	125	10	mehrdad	mehrdad	NOUN
gra-72	125	11	mahdavi	mahdavi	PROPN
gra-72	125	12	,	,	PUNCT
gra-72	125	13	azadehghari	azadehghari	PROPN
gra-72	125	14	neiat	neiat	AUX
gra-72	125	15	.	.	PUNCT
gra-72	126	1	“	"	PUNCT
gra-72	126	2	hybridization	hybridization	NOUN
gra-72	126	3	of	of	ADP
gra-72	126	4	k	k	PROPN
gra-72	126	5	means	mean	NOUN
gra-72	126	6	and	and	CCONJ
gra-72	126	7	harmony	harmony	NOUN
gra-72	126	8	search	search	NOUN
gra-72	126	9	methods	method	NOUN
gra-72	126	10	for	for	ADP
gra-72	126	11	web	web	NOUN
gra-72	126	12	page	page	NOUN
gra-72	126	13	clustering	cluster	VERB
gra-72	126	14	”	"	PUNCT
gra-72	126	15	ieee	ieee	NOUN
gra-72	126	16	international	international	ADJ
gra-72	126	17	conference	conference	NOUN
gra-72	126	18	of	of	ADP
gra-72	126	19	web	web	NOUN
gra-72	126	20	intelligence	intelligence	NOUN
gra-72	126	21	and	and	CCONJ
gra-72	126	22	intelligent	intelligent	ADJ
gra-72	126	23	agent	agent	NOUN
gra-72	126	24	technology	technology	NOUN
gra-72	126	25	,	,	PUNCT
gra-72	126	26	2008	2008	NUM
gra-72	127	1	[	[	X
gra-72	127	2	5	5	NUM
gra-72	127	3	]	]	PUNCT
gra-72	127	4	yao	yao	PROPN
gra-72	127	5	yu	yu	PROPN
gra-72	127	6	,	,	PUNCT
gra-72	127	7	fu	fu	PROPN
gra-72	127	8	zhong	zhong	PROPN
gra-72	127	9	-	-	PUNCT
gra-72	127	10	liang	liang	PROPN
gra-72	127	11	,	,	PUNCT
gra-72	127	12	zhao	zhao	PROPN
gra-72	127	13	xiang	xiang	PROPN
gra-72	127	14	-	-	PROPN
gra-72	127	15	hui	hui	PROPN
gra-72	127	16	,	,	PUNCT
gra-72	127	17	cheng	cheng	PROPN
gra-72	127	18	wen	wen	PROPN
gra-72	127	19	-	-	PUNCT
gra-72	127	20	fang	fang	PROPN
gra-72	127	21	.	.	PUNCT
gra-72	128	1	“	"	PUNCT
gra-72	128	2	combining	combine	VERB
gra-72	128	3	classier	classier	PROPN
gra-72	128	4	based	base	VERB
gra-72	128	5	on	on	ADP
gra-72	128	6	decision	decision	NOUN
gra-72	128	7	tree	tree	NOUN
gra-72	128	8	”	"	PUNCT
gra-72	128	9	ieee	ieee	PROPN
gra-72	128	10	international	international	ADJ
gra-72	128	11	conference	conference	NOUN
gra-72	128	12	on	on	ADP
gra-72	128	13	information	information	NOUN
gra-72	128	14	engineering	engineering	NOUN
gra-72	128	15	vol	vol	NOUN
gra-72	128	16	2	2	NUM
gra-72	128	17	.	.	PUNCT
gra-72	128	18	july	july	NOUN
gra-72	128	19	2009	2009	NUM
gra-72	128	20	[	[	X
gra-72	128	21	6	6	NUM
gra-72	128	22	]	]	PUNCT
gra-72	128	23	a.	a.	NOUN
gra-72	128	24	shen	shen	PROPN
gra-72	128	25	,	,	PUNCT
gra-72	128	26	r.	r.	PROPN
gra-72	128	27	tong	tong	PROPN
gra-72	128	28	,	,	PUNCT
gra-72	128	29	and	and	CCONJ
gra-72	128	30	y	y	PROPN
gra-72	128	31	deng	deng	PROPN
gra-72	128	32	,	,	PUNCT
gra-72	128	33	“	"	PUNCT
gra-72	128	34	application	application	NOUN
gra-72	128	35	of	of	ADP
gra-72	128	36	classication	classication	NOUN
gra-72	128	37	models	model	NOUN
gra-72	128	38	on	on	ADP
gra-72	128	39	credit	credit	NOUN
gra-72	128	40	card	card	NOUN
gra-72	128	41	fraud	fraud	NOUN
gra-72	128	42	detection	detection	NOUN
gra-72	128	43	”	"	PUNCT
gra-72	128	44	,	,	PUNCT
gra-72	128	45	2007	2007	NUM
gra-72	128	46	,	,	PUNCT
gra-72	128	47	service	service	NOUN
gra-72	128	48	systems	system	NOUN
gra-72	128	49	and	and	CCONJ
gra-72	128	50	service	service	NOUN
gra-72	128	51	management	management	NOUN
gra-72	128	52	,	,	PUNCT
gra-72	128	53	2007	2007	NUM
gra-72	128	54	international	international	ADJ
gra-72	128	55	conference	conference	NOUN
gra-72	128	56	on	on	ADP
gra-72	128	57	,	,	PUNCT
gra-72	128	58	pp	pp	ADJ
gra-72	128	59	.	.	PUNCT
gra-72	129	1	1	1	NUM
gra-72	129	2	-	-	SYM
gra-72	129	3	4	4	NUM
gra-72	129	4	.	.	PUNCT
gra-72	129	5	ieee	ieee	NOUN
gra-72	129	6	[	[	X
gra-72	129	7	7	7	NUM
gra-72	129	8	]	]	X
gra-72	129	9	kuldeep	kuldeep	PROPN
gra-72	129	10	randhawa	randhawa	PROPN
gra-72	129	11	,	,	PUNCT
gra-72	129	12	chu	chu	PROPN
gra-72	129	13	kiong	kiong	PROPN
gra-72	129	14	loo	loo	PROPN
gra-72	129	15	,	,	PUNCT
gra-72	129	16	manjeevan	manjeevan	PROPN
gra-72	129	17	seera	seera	NOUN
gra-72	129	18	,	,	PUNCT
gra-72	129	19	chee	chee	NOUN
gra-72	129	20	peng	peng	PROPN
gra-72	129	21	lim	lim	PROPN
gra-72	129	22	,	,	PUNCT
gra-72	129	23	asoke	asoke	PROPN
gra-72	129	24	k.	k.	PROPN
gra-72	129	25	nandi	nandi	PROPN
gra-72	129	26	,	,	PUNCT
gra-72	129	27	“	"	PUNCT
gra-72	129	28	credit	credit	NOUN
gra-72	129	29	card	card	NOUN
gra-72	129	30	fraud	fraud	NOUN
gra-72	129	31	detection	detection	NOUN
gra-72	129	32	using	use	VERB
gra-72	129	33	adaboost	adaboost	ADV
gra-72	129	34	and	and	CCONJ
gra-72	129	35	majority	majority	NOUN
gra-72	129	36	voting	voting	NOUN
gra-72	129	37	”	"	PUNCT
gra-72	129	38	,	,	PUNCT
gra-72	129	39	2017	2017	NUM
gra-72	129	40	,	,	PUNCT
gra-72	129	41	ieee	ieee	NOUN
gra-72	129	42	[	[	X
gra-72	129	43	8	8	NUM
gra-72	129	44	]	]	PUNCT
gra-72	129	45	suman	suman	PROPN
gra-72	129	46	arora	arora	PROPN
gra-72	129	47	,	,	PUNCT
gra-72	129	48	dharminder	dharminder	PROPN
gra-72	129	49	kumar	kumar	PROPN
gra-72	129	50	,	,	PUNCT
gra-72	129	51	“	"	PUNCT
gra-72	129	52	selection	selection	NOUN
gra-72	129	53	of	of	ADP
gra-72	129	54	optimal	optimal	ADJ
gra-72	129	55	credit	credit	NOUN
gra-72	129	56	card	card	NOUN
gra-72	129	57	fraud	fraud	NOUN
gra-72	129	58	detection	detection	NOUN
gra-72	129	59	models	model	NOUN
gra-72	129	60	using	use	VERB
gra-72	129	61	a	a	DET
gra-72	129	62	coefcient	coefcient	ADJ
gra-72	129	63	sum	sum	NOUN
gra-72	129	64	approach	approach	NOUN
gra-72	129	65	”	"	PUNCT
gra-72	129	66	,	,	PUNCT
gra-72	129	67	international	international	ADJ
gra-72	129	68	conference	conference	NOUN
gra-72	129	69	on	on	ADP
gra-72	129	70	computing	computing	NOUN
gra-72	129	71	,	,	PUNCT
gra-72	129	72	communication	communication	NOUN
gra-72	129	73	and	and	CCONJ
gra-72	129	74	automation	automation	NOUN
gra-72	129	75	(	(	PUNCT
gra-72	129	76	iccca2017	iccca2017	PROPN
gra-72	129	77	)	)	PUNCT
gra-72	130	1	[	[	X
gra-72	130	2	9	9	NUM
gra-72	130	3	]	]	X
gra-72	130	4	s	s	PART
gra-72	130	5	md	md	PROPN
gra-72	130	6	.	.	PROPN
gra-72	130	7	s	s	PART
gra-72	130	8	askari	askari	PROPN
gra-72	130	9	,	,	PUNCT
gra-72	130	10	md	md	PROPN
gra-72	130	11	.	.	PROPN
gra-72	131	1	anwar	anwar	PROPN
gra-72	131	2	hussain	hussain	PROPN
gra-72	131	3	,	,	PUNCT
gra-72	131	4	“	"	PUNCT
gra-72	131	5	credit	credit	NOUN
gra-72	131	6	card	card	NOUN
gra-72	131	7	fraud	fraud	NOUN
gra-72	131	8	detection	detection	NOUN
gra-72	131	9	using	use	VERB
gra-72	131	10	fuzzy	fuzzy	ADJ
gra-72	131	11	id3	id3	PROPN
gra-72	131	12	”	"	PUNCT
gra-72	131	13	,	,	PUNCT
gra-72	131	14	international	international	ADJ
gra-72	131	15	conference	conference	NOUN
gra-72	131	16	on	on	ADP
gra-72	131	17	computing	computing	NOUN
gra-72	131	18	,	,	PUNCT
gra-72	131	19	communication	communication	NOUN
gra-72	131	20	and	and	CCONJ
gra-72	131	21	automation	automation	NOUN
gra-72	131	22	(	(	PUNCT
gra-72	131	23	iccca2017	iccca2017	PROPN
gra-72	131	24	)	)	PUNCT
gra-72	132	1	[	[	X
gra-72	132	2	10	10	NUM
gra-72	132	3	]	]	X
gra-72	132	4	luis	luis	PROPN
gra-72	132	5	vergara	vergara	PROPN
gra-72	132	6	,	,	PUNCT
gra-72	132	7	addisson	addisson	NOUN
gra-72	132	8	salazar	salazar	PROPN
gra-72	132	9	,	,	PUNCT
gra-72	132	10	jordi	jordi	PROPN
gra-72	132	11	belda	belda	PROPN
gra-72	132	12	,	,	PUNCT
gra-72	132	13	gonzalo	gonzalo	PROPN
gra-72	132	14	safont	safont	PROPN
gra-72	132	15	,	,	PUNCT
gra-72	132	16	santiago	santiago	PROPN
gra-72	132	17	moral	moral	NOUN
gra-72	132	18	,	,	PUNCT
gra-72	132	19	sergio	sergio	PROPN
gra-72	132	20	iglesias	iglesias	PROPN
gra-72	132	21	,	,	PUNCT
gra-72	132	22	“	"	PUNCT
gra-72	132	23	signal	signal	VERB
gra-72	132	24	processing	processing	NOUN
gra-72	132	25	on	on	ADP
gra-72	132	26	graphs	graph	NOUN
gra-72	132	27	for	for	ADP
gra-72	132	28	improving	improve	VERB
gra-72	132	29	automatic	automatic	ADJ
gra-72	132	30	credit	credit	NOUN
gra-72	132	31	card	card	NOUN
gra-72	132	32	fraud	fraud	NOUN
gra-72	132	33	detection	detection	NOUN
gra-72	132	34	”	"	PUNCT
gra-72	132	35	,	,	PUNCT
gra-72	132	36	2017	2017	NUM
gra-72	132	37	,	,	PUNCT
gra-72	132	38	ieee	ieee	NOUN
gra-72	132	39	[	[	X
gra-72	132	40	11	11	NUM
gra-72	132	41	]	]	PUNCT
gra-72	132	42	fabrizio	fabrizio	PROPN
gra-72	132	43	carcillo	carcillo	PROPN
gra-72	132	44	,	,	PUNCT
gra-72	132	45	yann	yann	PROPN
gra-72	132	46	-	-	PUNCT
gra-72	132	47	ael	ael	PROPN
gra-72	132	48	le	le	X
gra-72	132	49	borgne	borgne	PROPN
gra-72	132	50	,	,	PUNCT
gra-72	132	51	olivier	olivier	PROPN
gra-72	132	52	caelen	caelen	PROPN
gra-72	132	53	and	and	CCONJ
gra-72	132	54	gianluca	gianluca	PROPN
gra-72	132	55	bontempi	bontempi	PROPN
gra-72	132	56	,	,	PUNCT
gra-72	132	57	“	"	PUNCT
gra-72	132	58	an	an	DET
gra-72	132	59	assessment	assessment	NOUN
gra-72	132	60	of	of	ADP
gra-72	132	61	streaming	stream	VERB
gra-72	132	62	active	active	ADJ
gra-72	132	63	learning	learning	NOUN
gra-72	132	64	strategies	strategy	NOUN
gra-72	132	65	for	for	ADP
gra-72	132	66	reallife	reallife	NOUN
gra-72	132	67	credit	credit	NOUN
gra-72	132	68	card	card	NOUN
gra-72	132	69	fraud	fraud	NOUN
gra-72	132	70	detection	detection	NOUN
gra-72	132	71	”	"	PUNCT
gra-72	132	72	,	,	PUNCT
gra-72	132	73	2017	2017	NUM
gra-72	132	74	international	international	ADJ
gra-72	132	75	conference	conference	NOUN
gra-72	132	76	on	on	ADP
gra-72	132	77	data	datum	NOUN
gra-72	132	78	science	science	NOUN
gra-72	132	79	and	and	CCONJ
gra-72	132	80	advanced	advanced	ADJ
gra-72	132	81	analytics	analytic	NOUN
gra-72	132	82	[	[	X
gra-72	132	83	12	12	NUM
gra-72	132	84	]	]	X
gra-72	132	85	rajeshwari	rajeshwari	NOUN
gra-72	132	86	u	u	PROPN
gra-72	132	87	,	,	PUNCT
gra-72	132	88	dr	dr	PROPN
gra-72	132	89	b	b	PROPN
gra-72	132	90	sathish	sathish	PROPN
gra-72	132	91	babu	babu	PROPN
gra-72	132	92	,	,	PUNCT
gra-72	132	93	“	"	PUNCT
gra-72	132	94	real	real	ADJ
gra-72	132	95	-	-	PUNCT
gra-72	132	96	time	time	NOUN
gra-72	132	97	credit	credit	NOUN
gra-72	132	98	card	card	NOUN
gra-72	132	99	fraud	fraud	NOUN
gra-72	132	100	detection	detection	NOUN
gra-72	132	101	using	use	VERB
gra-72	132	102	streaming	streaming	NOUN
gra-72	132	103	analytics	analytic	NOUN
gra-72	132	104	”	"	PUNCT
gra-72	132	105	,	,	PUNCT
gra-72	132	106	2016	2016	NUM
gra-72	132	107	,	,	PUNCT
gra-72	132	108	ieee	ieee	NOUN
gra-72	132	109	volume-8	volume-8	NUM
gra-72	132	110	,	,	PUNCT
gra-72	132	111	issue-9	issue-9	NUM
gra-72	132	112	,	,	PUNCT
gra-72	132	113	september-2019	september-2019	ADJ
gra-72	132	114	•	•	NUM
gra-72	132	115	print	print	NOUN
gra-72	132	116	issn	issn	PROPN
gra-72	132	117	no	no	NOUN
gra-72	132	118	.	.	PROPN
gra-72	132	119	2277	2277	NUM
gra-72	132	120	8160	8160	NUM
gra-72	132	121	•	•	NOUN
gra-72	132	122	doi	doi	NOUN
gra-72	132	123	:	:	PUNCT
gra-72	132	124	10.36106	10.36106	NUM
gra-72	132	125	/	/	SYM
gra-72	132	126	gjra	gjra	NOUN
gra-72	132	127	98	98	NUM
gra-72	132	128	x	x	NOUN
gra-72	132	129	gjra	gjra	PROPN
gra-72	132	130	global	global	ADJ
gra-72	132	131	journal	journal	PROPN
gra-72	132	132	for	for	ADP
gra-72	132	133	research	research	NOUN
gra-72	132	134	analysis	analysis	NOUN