id	sid	tid	token	lemma	pos
ajmri-633	1	1	pa	pa	PROPN
ajmri-633	1	2	ge	ge	PROPN
ajmri-633	1	3	1	1	NUM
ajmri-633	1	4	pa	pa	PROPN
ajmri-633	1	5	ge	ge	PROPN
ajmri-633	1	6	16	16	NUM
ajmri-633	1	7	0	0	NUM
ajmri-633	1	8	american	american	PROPN
ajmri-633	1	9	journal	journal	PROPN
ajmri-633	1	10	of	of	ADP
ajmri-633	1	11	multidisciplinary	multidisciplinary	ADJ
ajmri-633	1	12	research	research	NOUN
ajmri-633	1	13	and	and	CCONJ
ajmri-633	1	14	innovation	innovation	NOUN
ajmri-633	1	15	(	(	PUNCT
ajmri-633	1	16	ajmri	ajmri	NOUN
ajmri-633	1	17	)	)	PUNCT
ajmri-633	1	18	handling	handle	VERB
ajmri-633	1	19	class	class	NOUN
ajmri-633	1	20	imbalance	imbalance	NOUN
ajmri-633	1	21	in	in	ADP
ajmri-633	1	22	credit	credit	NOUN
ajmri-633	1	23	card	card	NOUN
ajmri-633	1	24	fraud	fraud	NOUN
ajmri-633	1	25	using	use	VERB
ajmri-633	1	26	various	various	ADJ
ajmri-633	1	27	sampling	sample	VERB
ajmri-633	1	28	techniques	technique	NOUN
ajmri-633	1	29	md.alam	md.alam	NOUN
ajmri-633	1	30	hossain1	hossain1	PROPN
ajmri-633	1	31	*	*	PROPN
ajmri-633	1	32	,	,	PUNCT
ajmri-633	1	33	mst	mst	PROPN
ajmri-633	1	34	.	.	PUNCT
ajmri-633	2	1	shimu	shimu	PROPN
ajmri-633	2	2	khatun1	khatun1	PROPN
ajmri-633	2	3	,	,	PUNCT
ajmri-633	2	4	rabiul	rabiul	PROPN
ajmri-633	2	5	alam	alam	PROPN
ajmri-633	2	6	bhuiyan1	bhuiyan1	PROPN
ajmri-633	2	7	,	,	PUNCT
ajmri-633	2	8	md	md	PROPN
ajmri-633	2	9	.	.	PUNCT
ajmri-633	3	1	taslim1	taslim1	PROPN
ajmri-633	3	2	volume	volume	NOUN
ajmri-633	3	3	1	1	NUM
ajmri-633	3	4	issue	issue	NOUN
ajmri-633	3	5	4	4	NUM
ajmri-633	3	6	,	,	PUNCT
ajmri-633	3	7	year	year	NOUN
ajmri-633	3	8	2022	2022	NUM
ajmri-633	3	9	issn	issn	VERB
ajmri-633	3	10	:	:	PUNCT
ajmri-633	3	11	2158	2158	NUM
ajmri-633	3	12	-	-	SYM
ajmri-633	3	13	8155	8155	NUM
ajmri-633	3	14	(	(	PUNCT
ajmri-633	3	15	online	online	NOUN
ajmri-633	3	16	)	)	PUNCT
ajmri-633	3	17	,	,	PUNCT
ajmri-633	3	18	2832	2832	NUM
ajmri-633	3	19	-	-	SYM
ajmri-633	3	20	4854	4854	NUM
ajmri-633	3	21	(	(	PUNCT
ajmri-633	3	22	print	print	NOUN
ajmri-633	3	23	)	)	PUNCT
ajmri-633	3	24	doi	doi	NOUN
ajmri-633	3	25	:	:	PUNCT
ajmri-633	3	26	https://doi.org/10.54536/ajmri.v1i4.633	https://doi.org/10.54536/ajmri.v1i4.633	PROPN
ajmri-633	3	27	https://journals.e-palli.com/home/index.php/ajmri	https://journals.e-palli.com/home/index.php/ajmri	ADJ
ajmri-633	3	28	article	article	NOUN
ajmri-633	3	29	information	information	NOUN
ajmri-633	3	30	abstract	abstract	ADV
ajmri-633	3	31	received	receive	VERB
ajmri-633	3	32	:	:	PUNCT
ajmri-633	3	33	september	september	PROPN
ajmri-633	3	34	22	22	NUM
ajmri-633	3	35	,	,	PUNCT
ajmri-633	3	36	2022	2022	NUM
ajmri-633	3	37	accepted	accept	VERB
ajmri-633	3	38	:	:	PUNCT
ajmri-633	3	39	september	september	PROPN
ajmri-633	3	40	30	30	NUM
ajmri-633	3	41	,	,	PUNCT
ajmri-633	3	42	2022	2022	NUM
ajmri-633	3	43	published	publish	VERB
ajmri-633	3	44	:	:	PUNCT
ajmri-633	3	45	october	october	PROPN
ajmri-633	3	46	02	02	NUM
ajmri-633	3	47	,	,	PUNCT
ajmri-633	3	48	2022	2022	NUM
ajmri-633	3	49	over	over	ADP
ajmri-633	3	50	the	the	DET
ajmri-633	3	51	last	last	ADJ
ajmri-633	3	52	few	few	ADJ
ajmri-633	3	53	decades	decade	NOUN
ajmri-633	3	54	,	,	PUNCT
ajmri-633	3	55	credit	credit	NOUN
ajmri-633	3	56	card	card	NOUN
ajmri-633	3	57	fraud	fraud	NOUN
ajmri-633	3	58	(	(	PUNCT
ajmri-633	3	59	ccf	ccf	PROPN
ajmri-633	3	60	)	)	PUNCT
ajmri-633	3	61	has	have	AUX
ajmri-633	3	62	been	be	AUX
ajmri-633	3	63	a	a	DET
ajmri-633	3	64	severe	severe	ADJ
ajmri-633	3	65	problem	problem	NOUN
ajmri-633	3	66	for	for	ADP
ajmri-633	3	67	both	both	CCONJ
ajmri-633	3	68	cardholders	cardholder	NOUN
ajmri-633	3	69	and	and	CCONJ
ajmri-633	3	70	card	card	NOUN
ajmri-633	3	71	providers	provider	NOUN
ajmri-633	3	72	.	.	PUNCT
ajmri-633	4	1	credit	credit	NOUN
ajmri-633	4	2	card	card	NOUN
ajmri-633	4	3	transactions	transaction	NOUN
ajmri-633	4	4	are	be	AUX
ajmri-633	4	5	fast	fast	ADV
ajmri-633	4	6	expanding	expand	VERB
ajmri-633	4	7	as	as	ADP
ajmri-633	4	8	internet	internet	NOUN
ajmri-633	4	9	technology	technology	NOUN
ajmri-633	4	10	advances	advance	NOUN
ajmri-633	4	11	,	,	PUNCT
ajmri-633	4	12	significantly	significantly	ADV
ajmri-633	4	13	relying	rely	VERB
ajmri-633	4	14	on	on	ADP
ajmri-633	4	15	the	the	DET
ajmri-633	4	16	internet	internet	NOUN
ajmri-633	4	17	.	.	PUNCT
ajmri-633	5	1	with	with	ADP
ajmri-633	5	2	advanced	advanced	ADJ
ajmri-633	5	3	technology	technology	NOUN
ajmri-633	5	4	and	and	CCONJ
ajmri-633	5	5	increased	increase	VERB
ajmri-633	5	6	credit	credit	NOUN
ajmri-633	5	7	card	card	NOUN
ajmri-633	5	8	usage	usage	NOUN
ajmri-633	5	9	,	,	PUNCT
ajmri-633	5	10	fraud	fraud	NOUN
ajmri-633	5	11	rates	rate	NOUN
ajmri-633	5	12	are	be	AUX
ajmri-633	5	13	becoming	become	VERB
ajmri-633	5	14	a	a	DET
ajmri-633	5	15	problem	problem	NOUN
ajmri-633	5	16	for	for	ADP
ajmri-633	5	17	the	the	DET
ajmri-633	5	18	economy	economy	NOUN
ajmri-633	5	19	.	.	PUNCT
ajmri-633	6	1	however	however	ADV
ajmri-633	6	2	,	,	PUNCT
ajmri-633	6	3	the	the	DET
ajmri-633	6	4	credit	credit	NOUN
ajmri-633	6	5	card	card	NOUN
ajmri-633	6	6	dataset	dataset	NOUN
ajmri-633	6	7	is	be	AUX
ajmri-633	6	8	highly	highly	ADV
ajmri-633	6	9	imbalanced	imbalanced	ADJ
ajmri-633	6	10	and	and	CCONJ
ajmri-633	6	11	skewed	skewed	ADJ
ajmri-633	6	12	.	.	PUNCT
ajmri-633	7	1	many	many	ADJ
ajmri-633	7	2	classification	classification	NOUN
ajmri-633	7	3	techniques	technique	NOUN
ajmri-633	7	4	are	be	AUX
ajmri-633	7	5	used	use	VERB
ajmri-633	7	6	to	to	PART
ajmri-633	7	7	classify	classify	VERB
ajmri-633	7	8	fraud	fraud	NOUN
ajmri-633	7	9	and	and	CCONJ
ajmri-633	7	10	non	non	NOUN
ajmri-633	7	11	-	-	NOUN
ajmri-633	7	12	fraud	fraud	NOUN
ajmri-633	7	13	but	but	CCONJ
ajmri-633	7	14	in	in	ADP
ajmri-633	7	15	a	a	DET
ajmri-633	7	16	certain	certain	ADJ
ajmri-633	7	17	condition	condition	NOUN
ajmri-633	7	18	,	,	PUNCT
ajmri-633	7	19	they	they	PRON
ajmri-633	7	20	may	may	AUX
ajmri-633	7	21	not	not	PART
ajmri-633	7	22	generate	generate	VERB
ajmri-633	7	23	the	the	DET
ajmri-633	7	24	best	good	ADJ
ajmri-633	7	25	results	result	NOUN
ajmri-633	7	26	.	.	PUNCT
ajmri-633	8	1	different	different	ADJ
ajmri-633	8	2	types	type	NOUN
ajmri-633	8	3	of	of	ADP
ajmri-633	8	4	sampling	sample	VERB
ajmri-633	8	5	techniques	technique	NOUN
ajmri-633	8	6	such	such	ADJ
ajmri-633	8	7	as	as	ADP
ajmri-633	8	8	under	under	ADP
ajmri-633	8	9	-	-	PUNCT
ajmri-633	8	10	over	over	ADP
ajmri-633	8	11	sampling	sampling	NOUN
ajmri-633	8	12	,	,	PUNCT
ajmri-633	8	13	synthetic	synthetic	ADJ
ajmri-633	8	14	minority	minority	NOUN
ajmri-633	8	15	oversampling	oversampling	NOUN
ajmri-633	8	16	,	,	PUNCT
ajmri-633	8	17	and	and	CCONJ
ajmri-633	8	18	adaptive	adaptive	ADJ
ajmri-633	8	19	synthetic	synthetic	NOUN
ajmri-633	8	20	techniques	technique	NOUN
ajmri-633	8	21	have	have	AUX
ajmri-633	8	22	been	be	AUX
ajmri-633	8	23	used	use	VERB
ajmri-633	8	24	to	to	PART
ajmri-633	8	25	overcome	overcome	VERB
ajmri-633	8	26	the	the	DET
ajmri-633	8	27	class	class	NOUN
ajmri-633	8	28	imbalance	imbalance	NOUN
ajmri-633	8	29	problem	problem	NOUN
ajmri-633	8	30	in	in	ADP
ajmri-633	8	31	the	the	DET
ajmri-633	8	32	credit	credit	NOUN
ajmri-633	8	33	card	card	NOUN
ajmri-633	8	34	dataset	dataset	NOUN
ajmri-633	8	35	.	.	PUNCT
ajmri-633	9	1	then	then	ADV
ajmri-633	9	2	,	,	PUNCT
ajmri-633	9	3	the	the	DET
ajmri-633	9	4	sampled	sample	VERB
ajmri-633	9	5	datasets	dataset	NOUN
ajmri-633	9	6	are	be	AUX
ajmri-633	9	7	classified	classify	VERB
ajmri-633	9	8	using	use	VERB
ajmri-633	9	9	different	different	ADJ
ajmri-633	9	10	machine	machine	NOUN
ajmri-633	9	11	learning	learn	VERB
ajmri-633	9	12	techniques	technique	NOUN
ajmri-633	9	13	like	like	ADP
ajmri-633	9	14	decision	decision	NOUN
ajmri-633	9	15	tree	tree	NOUN
ajmri-633	9	16	,	,	PUNCT
ajmri-633	9	17	random	random	ADJ
ajmri-633	9	18	forest	forest	NOUN
ajmri-633	9	19	,	,	PUNCT
ajmri-633	9	20	k	k	X
ajmri-633	9	21	-	-	PUNCT
ajmri-633	9	22	nearest	near	ADJ
ajmri-633	9	23	neighbors	neighbor	NOUN
ajmri-633	9	24	,	,	PUNCT
ajmri-633	9	25	logistic	logistic	ADJ
ajmri-633	9	26	regression	regression	NOUN
ajmri-633	9	27	,	,	PUNCT
ajmri-633	9	28	and	and	CCONJ
ajmri-633	9	29	naive	naive	ADJ
ajmri-633	9	30	bayes	baye	NOUN
ajmri-633	9	31	.	.	PUNCT
ajmri-633	10	1	recall	recall	NOUN
ajmri-633	10	2	,	,	PUNCT
ajmri-633	10	3	f1score	f1score	NOUN
ajmri-633	10	4	,	,	PUNCT
ajmri-633	10	5	accuracy	accuracy	NOUN
ajmri-633	10	6	,	,	PUNCT
ajmri-633	10	7	precision	precision	NOUN
ajmri-633	10	8	,	,	PUNCT
ajmri-633	10	9	and	and	CCONJ
ajmri-633	10	10	error	error	NOUN
ajmri-633	10	11	rate	rate	NOUN
ajmri-633	10	12	used	use	VERB
ajmri-633	10	13	to	to	PART
ajmri-633	10	14	evaluate	evaluate	VERB
ajmri-633	10	15	the	the	DET
ajmri-633	10	16	model	model	NOUN
ajmri-633	10	17	performance	performance	NOUN
ajmri-633	10	18	.	.	PUNCT
ajmri-633	11	1	the	the	DET
ajmri-633	11	2	logistic	logistic	ADJ
ajmri-633	11	3	regression	regression	NOUN
ajmri-633	11	4	model	model	NOUN
ajmri-633	11	5	achieved	achieve	VERB
ajmri-633	11	6	the	the	DET
ajmri-633	11	7	highest	high	ADJ
ajmri-633	11	8	result	result	NOUN
ajmri-633	11	9	with	with	ADP
ajmri-633	11	10	99.94	99.94	NUM
ajmri-633	11	11	%	%	NOUN
ajmri-633	11	12	after	after	ADP
ajmri-633	11	13	under	under	ADP
ajmri-633	11	14	sampling	sample	VERB
ajmri-633	11	15	techniques	technique	NOUN
ajmri-633	11	16	and	and	CCONJ
ajmri-633	11	17	random	random	ADJ
ajmri-633	11	18	forest	forest	NOUN
ajmri-633	11	19	model	model	NOUN
ajmri-633	11	20	achieved	achieve	VERB
ajmri-633	11	21	the	the	DET
ajmri-633	11	22	highest	high	ADJ
ajmri-633	11	23	result	result	NOUN
ajmri-633	11	24	with	with	ADP
ajmri-633	11	25	99.964	99.964	NUM
ajmri-633	11	26	%	%	NOUN
ajmri-633	11	27	after	after	ADP
ajmri-633	11	28	over	over	ADP
ajmri-633	11	29	sampling	sample	VERB
ajmri-633	11	30	techniques	technique	NOUN
ajmri-633	11	31	.	.	PUNCT
ajmri-633	12	1	keywords	keyword	NOUN
ajmri-633	12	2	credit	credit	NOUN
ajmri-633	12	3	card	card	NOUN
ajmri-633	12	4	fraud	fraud	NOUN
ajmri-633	12	5	,	,	PUNCT
ajmri-633	12	6	class	class	NOUN
ajmri-633	12	7	imbalance	imbalance	NOUN
ajmri-633	12	8	,	,	PUNCT
ajmri-633	12	9	undersampling	undersample	VERB
ajmri-633	12	10	,	,	PUNCT
ajmri-633	12	11	over	over	ADP
ajmri-633	12	12	-	-	PUNCT
ajmri-633	12	13	sampling	sampling	NOUN
ajmri-633	12	14	,	,	PUNCT
ajmri-633	12	15	smote	smote	ADJ
ajmri-633	12	16	,	,	PUNCT
ajmri-633	12	17	adaptive	adaptive	ADJ
ajmri-633	12	18	synthetic	synthetic	NOUN
ajmri-633	12	19	1	1	NUM
ajmri-633	12	20	dept.of	dept.of	NOUN
ajmri-633	12	21	computer	computer	NOUN
ajmri-633	12	22	science	science	NOUN
ajmri-633	12	23	and	and	CCONJ
ajmri-633	12	24	engineering	engineering	PROPN
ajmri-633	12	25	jashore	jashore	PROPN
ajmri-633	12	26	university	university	PROPN
ajmri-633	12	27	of	of	ADP
ajmri-633	12	28	science	science	NOUN
ajmri-633	12	29	and	and	CCONJ
ajmri-633	12	30	technology	technology	NOUN
ajmri-633	12	31	jashore	jashore	NOUN
ajmri-633	12	32	,	,	PUNCT
ajmri-633	12	33	bangladesh	bangladesh	NOUN
ajmri-633	12	34	*	*	PUNCT
ajmri-633	12	35	corresponding	correspond	VERB
ajmri-633	12	36	author	author	NOUN
ajmri-633	12	37	’s	’s	PART
ajmri-633	12	38	email	email	NOUN
ajmri-633	12	39	:	:	PUNCT
ajmri-633	12	40	alam@just.edu.bd	alam@just.edu.bd	VERB
ajmri-633	12	41	introduction	introduction	NOUN
ajmri-633	12	42	the	the	DET
ajmri-633	12	43	use	use	NOUN
ajmri-633	12	44	of	of	ADP
ajmri-633	12	45	credit	credit	NOUN
ajmri-633	12	46	cards	card	NOUN
ajmri-633	12	47	has	have	AUX
ajmri-633	12	48	expanded	expand	VERB
ajmri-633	12	49	considerably	considerably	ADV
ajmri-633	12	50	during	during	ADP
ajmri-633	12	51	the	the	DET
ajmri-633	12	52	last	last	ADJ
ajmri-633	12	53	decade	decade	NOUN
ajmri-633	12	54	,	,	PUNCT
ajmri-633	12	55	owing	owe	VERB
ajmri-633	12	56	to	to	ADP
ajmri-633	12	57	the	the	DET
ajmri-633	12	58	advent	advent	NOUN
ajmri-633	12	59	of	of	ADP
ajmri-633	12	60	e	e	NOUN
ajmri-633	12	61	-	-	NOUN
ajmri-633	12	62	commerce	commerce	NOUN
ajmri-633	12	63	.	.	PUNCT
ajmri-633	13	1	the	the	DET
ajmri-633	13	2	possibility	possibility	NOUN
ajmri-633	13	3	of	of	ADP
ajmri-633	13	4	fraudulent	fraudulent	ADJ
ajmri-633	13	5	transactions	transaction	NOUN
ajmri-633	13	6	has	have	AUX
ajmri-633	13	7	also	also	ADV
ajmri-633	13	8	increased	increase	VERB
ajmri-633	13	9	as	as	ADP
ajmri-633	13	10	a	a	DET
ajmri-633	13	11	result	result	NOUN
ajmri-633	13	12	of	of	ADP
ajmri-633	13	13	this	this	PRON
ajmri-633	13	14	.	.	PUNCT
ajmri-633	14	1	credit	credit	NOUN
ajmri-633	14	2	card	card	NOUN
ajmri-633	14	3	fraud	fraud	NOUN
ajmri-633	14	4	occurs	occur	VERB
ajmri-633	14	5	in	in	ADP
ajmri-633	14	6	around	around	ADP
ajmri-633	14	7	0.1	0.1	NUM
ajmri-633	14	8	percent	percent	NOUN
ajmri-633	14	9	of	of	ADP
ajmri-633	14	10	all	all	DET
ajmri-633	14	11	card	card	NOUN
ajmri-633	14	12	transactions	transaction	NOUN
ajmri-633	14	13	,	,	PUNCT
ajmri-633	14	14	but	but	CCONJ
ajmri-633	14	15	it	it	PRON
ajmri-633	14	16	can	can	AUX
ajmri-633	14	17	result	result	VERB
ajmri-633	14	18	in	in	ADP
ajmri-633	14	19	significant	significant	ADJ
ajmri-633	14	20	financial	financial	ADJ
ajmri-633	14	21	losses	loss	NOUN
ajmri-633	14	22	because	because	SCONJ
ajmri-633	14	23	transactions	transaction	NOUN
ajmri-633	14	24	can	can	AUX
ajmri-633	14	25	be	be	AUX
ajmri-633	14	26	relatively	relatively	ADV
ajmri-633	14	27	substantial	substantial	ADJ
ajmri-633	14	28	.	.	PUNCT
ajmri-633	15	1	as	as	ADP
ajmri-633	15	2	a	a	DET
ajmri-633	15	3	result	result	NOUN
ajmri-633	15	4	,	,	PUNCT
ajmri-633	15	5	the	the	DET
ajmri-633	15	6	overall	overall	ADJ
ajmri-633	15	7	credit	credit	NOUN
ajmri-633	15	8	card	card	NOUN
ajmri-633	15	9	fraud	fraud	NOUN
ajmri-633	15	10	dataset	dataset	NOUN
ajmri-633	15	11	becomes	become	VERB
ajmri-633	15	12	highly	highly	ADV
ajmri-633	15	13	skewed	skewed	ADJ
ajmri-633	15	14	,	,	PUNCT
ajmri-633	15	15	with	with	ADP
ajmri-633	15	16	only	only	ADV
ajmri-633	15	17	a	a	DET
ajmri-633	15	18	few	few	ADJ
ajmri-633	15	19	examples	example	NOUN
ajmri-633	15	20	of	of	ADP
ajmri-633	15	21	one	one	NUM
ajmri-633	15	22	class	class	NOUN
ajmri-633	15	23	.	.	PUNCT
ajmri-633	16	1	in	in	ADP
ajmri-633	16	2	the	the	DET
ajmri-633	16	3	previous	previous	ADJ
ajmri-633	16	4	credit	credit	NOUN
ajmri-633	16	5	card	card	NOUN
ajmri-633	16	6	fraud	fraud	NOUN
ajmri-633	16	7	detection	detection	NOUN
ajmri-633	16	8	,	,	PUNCT
ajmri-633	16	9	the	the	DET
ajmri-633	16	10	impact	impact	NOUN
ajmri-633	16	11	of	of	ADP
ajmri-633	16	12	this	this	DET
ajmri-633	16	13	extremely	extremely	ADV
ajmri-633	16	14	imbalanced	imbalanced	ADJ
ajmri-633	16	15	situation	situation	NOUN
ajmri-633	16	16	was	be	AUX
ajmri-633	16	17	ignored	ignore	VERB
ajmri-633	16	18	(	(	PUNCT
ajmri-633	16	19	mallidi	mallidi	PROPN
ajmri-633	16	20	,	,	PUNCT
ajmri-633	16	21	et	et	PROPN
ajmri-633	16	22	al	al	PROPN
ajmri-633	16	23	.	.	PROPN
ajmri-633	16	24	,	,	PUNCT
ajmri-633	16	25	2021	2021	NUM
ajmri-633	16	26	)	)	PUNCT
ajmri-633	16	27	,	,	PUNCT
ajmri-633	16	28	(	(	PUNCT
ajmri-633	16	29	ali	ali	PROPN
ajmri-633	16	30	,	,	PUNCT
ajmri-633	16	31	et	et	PROPN
ajmri-633	16	32	al	al	PROPN
ajmri-633	16	33	.	.	PROPN
ajmri-633	16	34	,	,	PUNCT
ajmri-633	16	35	2015	2015	NUM
ajmri-633	16	36	)	)	PUNCT
ajmri-633	16	37	.	.	PUNCT
ajmri-633	17	1	when	when	SCONJ
ajmri-633	17	2	a	a	DET
ajmri-633	17	3	credit	credit	NOUN
ajmri-633	17	4	card	card	NOUN
ajmri-633	17	5	was	be	AUX
ajmri-633	17	6	first	first	ADV
ajmri-633	17	7	used	use	VERB
ajmri-633	17	8	to	to	PART
ajmri-633	17	9	make	make	VERB
ajmri-633	17	10	a	a	DET
ajmri-633	17	11	transaction	transaction	NOUN
ajmri-633	17	12	in	in	ADP
ajmri-633	17	13	the	the	DET
ajmri-633	17	14	early	early	ADJ
ajmri-633	17	15	1970s	1970	NOUN
ajmri-633	17	16	,	,	PUNCT
ajmri-633	17	17	with	with	ADP
ajmri-633	17	18	a	a	DET
ajmri-633	17	19	slide	slide	NOUN
ajmri-633	17	20	machine	machine	NOUN
ajmri-633	17	21	it	it	PRON
ajmri-633	17	22	was	be	AUX
ajmri-633	17	23	processed	process	VERB
ajmri-633	17	24	manually	manually	ADV
ajmri-633	17	25	which	which	PRON
ajmri-633	17	26	imprinted	imprint	VERB
ajmri-633	17	27	the	the	DET
ajmri-633	17	28	credit	credit	NOUN
ajmri-633	17	29	card	card	NOUN
ajmri-633	17	30	number	number	NOUN
ajmri-633	17	31	on	on	ADP
ajmri-633	17	32	a	a	DET
ajmri-633	17	33	multi	multi	ADJ
ajmri-633	17	34	-	-	ADJ
ajmri-633	17	35	part	part	ADJ
ajmri-633	17	36	receipt	receipt	NOUN
ajmri-633	17	37	.	.	PUNCT
ajmri-633	18	1	the	the	DET
ajmri-633	18	2	merchant	merchant	NOUN
ajmri-633	18	3	received	receive	VERB
ajmri-633	18	4	the	the	DET
ajmri-633	18	5	actual	actual	ADJ
ajmri-633	18	6	document	document	NOUN
ajmri-633	18	7	while	while	SCONJ
ajmri-633	18	8	the	the	DET
ajmri-633	18	9	clients	client	NOUN
ajmri-633	18	10	received	receive	VERB
ajmri-633	18	11	the	the	DET
ajmri-633	18	12	carbon	carbon	NOUN
ajmri-633	18	13	copy	copy	NOUN
ajmri-633	18	14	.	.	PUNCT
ajmri-633	19	1	fraud	fraud	NOUN
ajmri-633	19	2	is	be	AUX
ajmri-633	19	3	described	describe	VERB
ajmri-633	19	4	as	as	ADP
ajmri-633	19	5	illegal	illegal	ADJ
ajmri-633	19	6	deception	deception	NOUN
ajmri-633	19	7	to	to	PART
ajmri-633	19	8	obtain	obtain	VERB
ajmri-633	19	9	monetary	monetary	ADJ
ajmri-633	19	10	benefit	benefit	NOUN
ajmri-633	19	11	.	.	PUNCT
ajmri-633	20	1	credit	credit	NOUN
ajmri-633	20	2	card	card	NOUN
ajmri-633	20	3	transactions	transaction	NOUN
ajmri-633	20	4	have	have	AUX
ajmri-633	20	5	surged	surge	VERB
ajmri-633	20	6	due	due	ADP
ajmri-633	20	7	to	to	ADP
ajmri-633	20	8	the	the	DET
ajmri-633	20	9	high	high	ADJ
ajmri-633	20	10	reliance	reliance	NOUN
ajmri-633	20	11	on	on	ADP
ajmri-633	20	12	internet	internet	NOUN
ajmri-633	20	13	technologies	technology	NOUN
ajmri-633	20	14	.	.	PUNCT
ajmri-633	21	1	credit	credit	NOUN
ajmri-633	21	2	card	card	NOUN
ajmri-633	21	3	providers	provider	NOUN
ajmri-633	21	4	are	be	AUX
ajmri-633	21	5	dealing	deal	VERB
ajmri-633	21	6	with	with	ADP
ajmri-633	21	7	a	a	DET
ajmri-633	21	8	severe	severe	ADJ
ajmri-633	21	9	challenge	challenge	NOUN
ajmri-633	21	10	.	.	PUNCT
ajmri-633	22	1	in	in	ADP
ajmri-633	22	2	2004	2004	NUM
ajmri-633	22	3	,	,	PUNCT
ajmri-633	22	4	credit	credit	NOUN
ajmri-633	22	5	card	card	NOUN
ajmri-633	22	6	transactions	transaction	NOUN
ajmri-633	22	7	in	in	ADP
ajmri-633	22	8	the	the	DET
ajmri-633	22	9	united	united	PROPN
ajmri-633	22	10	states	states	PROPN
ajmri-633	22	11	resulted	result	VERB
ajmri-633	22	12	in	in	ADP
ajmri-633	22	13	a	a	DET
ajmri-633	22	14	total	total	ADJ
ajmri-633	22	15	800	800	NUM
ajmri-633	22	16	million	million	NUM
ajmri-633	22	17	dollars	dollar	NOUN
ajmri-633	22	18	loss	loss	NOUN
ajmri-633	22	19	cause	cause	NOUN
ajmri-633	22	20	of	of	ADP
ajmri-633	22	21	fraud	fraud	NOUN
ajmri-633	22	22	.	.	PUNCT
ajmri-633	23	1	in	in	ADP
ajmri-633	23	2	the	the	DET
ajmri-633	23	3	same	same	ADJ
ajmri-633	23	4	year	year	NOUN
ajmri-633	23	5	,	,	PUNCT
ajmri-633	23	6	the	the	DET
ajmri-633	23	7	united	united	PROPN
ajmri-633	23	8	kingdom	kingdom	PROPN
ajmri-633	23	9	suffered	suffer	VERB
ajmri-633	23	10	a	a	DET
ajmri-633	23	11	loss	loss	NOUN
ajmri-633	23	12	of	of	ADP
ajmri-633	23	13	425	425	NUM
ajmri-633	23	14	million	million	NUM
ajmri-633	23	15	pounds	pound	NOUN
ajmri-633	23	16	due	due	ADP
ajmri-633	23	17	to	to	ADP
ajmri-633	23	18	credit	credit	NOUN
ajmri-633	23	19	card	card	NOUN
ajmri-633	23	20	theft	theft	NOUN
ajmri-633	23	21	(	(	PUNCT
ajmri-633	23	22	750	750	NUM
ajmri-633	23	23	million	million	NUM
ajmri-633	23	24	u.s	u.s	PROPN
ajmri-633	23	25	.	.	PROPN
ajmri-633	23	26	dollars	dollar	NOUN
ajmri-633	23	27	)	)	PUNCT
ajmri-633	23	28	.	.	PUNCT
ajmri-633	24	1	inner	inner	ADJ
ajmri-633	24	2	card	card	NOUN
ajmri-633	24	3	fraud	fraud	NOUN
ajmri-633	24	4	and	and	CCONJ
ajmri-633	24	5	exterior	exterior	ADJ
ajmri-633	24	6	card	card	NOUN
ajmri-633	24	7	fraud	fraud	NOUN
ajmri-633	24	8	are	be	AUX
ajmri-633	24	9	the	the	DET
ajmri-633	24	10	two	two	NUM
ajmri-633	24	11	types	type	NOUN
ajmri-633	24	12	of	of	ADP
ajmri-633	24	13	credit	credit	NOUN
ajmri-633	24	14	card	card	NOUN
ajmri-633	24	15	fraud	fraud	NOUN
ajmri-633	24	16	.	.	PUNCT
ajmri-633	25	1	the	the	DET
ajmri-633	25	2	goal	goal	NOUN
ajmri-633	25	3	of	of	ADP
ajmri-633	25	4	inner	inner	ADJ
ajmri-633	25	5	card	card	NOUN
ajmri-633	25	6	fraud	fraud	NOUN
ajmri-633	25	7	is	be	AUX
ajmri-633	25	8	to	to	PART
ajmri-633	25	9	defraud	defraud	VERB
ajmri-633	25	10	people	people	NOUN
ajmri-633	25	11	of	of	ADP
ajmri-633	25	12	their	their	PRON
ajmri-633	25	13	money	money	NOUN
ajmri-633	25	14	.	.	PUNCT
ajmri-633	26	1	it	it	PRON
ajmri-633	26	2	is	be	AUX
ajmri-633	26	3	usually	usually	ADV
ajmri-633	26	4	the	the	DET
ajmri-633	26	5	result	result	NOUN
ajmri-633	26	6	of	of	ADP
ajmri-633	26	7	conspiracy	conspiracy	NOUN
ajmri-633	26	8	between	between	ADP
ajmri-633	26	9	merchants	merchant	NOUN
ajmri-633	26	10	and	and	CCONJ
ajmri-633	26	11	cardholders	cardholder	NOUN
ajmri-633	26	12	.	.	PUNCT
ajmri-633	27	1	external	external	ADJ
ajmri-633	27	2	card	card	NOUN
ajmri-633	27	3	fraud	fraud	NOUN
ajmri-633	27	4	is	be	AUX
ajmri-633	27	5	defined	define	VERB
ajmri-633	27	6	as	as	ADP
ajmri-633	27	7	the	the	DET
ajmri-633	27	8	consumption	consumption	NOUN
ajmri-633	27	9	of	of	ADP
ajmri-633	27	10	stolen	steal	VERB
ajmri-633	27	11	cards	card	NOUN
ajmri-633	27	12	,	,	PUNCT
ajmri-633	27	13	phony	phony	ADJ
ajmri-633	27	14	or	or	CCONJ
ajmri-633	27	15	counterfeit	counterfeit	ADJ
ajmri-633	27	16	credit	credit	NOUN
ajmri-633	27	17	cards	card	NOUN
ajmri-633	27	18	,	,	PUNCT
ajmri-633	27	19	or	or	CCONJ
ajmri-633	27	20	the	the	DET
ajmri-633	27	21	use	use	NOUN
ajmri-633	27	22	of	of	ADP
ajmri-633	27	23	cards	card	NOUN
ajmri-633	27	24	to	to	PART
ajmri-633	27	25	obtain	obtain	VERB
ajmri-633	27	26	cash	cash	NOUN
ajmri-633	27	27	in	in	ADP
ajmri-633	27	28	disguised	disguised	ADJ
ajmri-633	27	29	forms	form	NOUN
ajmri-633	27	30	.	.	PUNCT
ajmri-633	28	1	different	different	ADJ
ajmri-633	28	2	types	type	NOUN
ajmri-633	28	3	of	of	ADP
ajmri-633	28	4	fraud	fraud	NOUN
ajmri-633	28	5	can	can	AUX
ajmri-633	28	6	be	be	AUX
ajmri-633	28	7	follows	follow	VERB
ajmri-633	28	8	as	as	ADP
ajmri-633	28	9	:	:	PUNCT
ajmri-633	28	10	1	1	X
ajmri-633	28	11	.	.	X
ajmri-633	28	12	application	application	NOUN
ajmri-633	28	13	fraud	fraud	NOUN
ajmri-633	28	14	:	:	PUNCT
ajmri-633	28	15	when	when	SCONJ
ajmri-633	28	16	a	a	DET
ajmri-633	28	17	well	well	ADV
ajmri-633	28	18	-	-	PUNCT
ajmri-633	28	19	known	know	VERB
ajmri-633	28	20	fraudster	fraudster	ADJ
ajmri-633	28	21	gains	gain	NOUN
ajmri-633	28	22	access	access	NOUN
ajmri-633	28	23	to	to	ADP
ajmri-633	28	24	an	an	DET
ajmri-633	28	25	authorized	authorized	ADJ
ajmri-633	28	26	user	user	NOUN
ajmri-633	28	27	’s	’s	PART
ajmri-633	28	28	application	application	NOUN
ajmri-633	28	29	by	by	ADP
ajmri-633	28	30	exploiting	exploit	VERB
ajmri-633	28	31	sensitive	sensitive	ADJ
ajmri-633	28	32	user	user	NOUN
ajmri-633	28	33	information	information	NOUN
ajmri-633	28	34	such	such	ADJ
ajmri-633	28	35	as	as	ADP
ajmri-633	28	36	the	the	DET
ajmri-633	28	37	user	user	NOUN
ajmri-633	28	38	’s	’s	PART
ajmri-633	28	39	email	email	NOUN
ajmri-633	28	40	address	address	NOUN
ajmri-633	28	41	,	,	PUNCT
ajmri-633	28	42	user	user	NOUN
ajmri-633	28	43	name	name	NOUN
ajmri-633	28	44	,	,	PUNCT
ajmri-633	28	45	and	and	CCONJ
ajmri-633	28	46	password	password	NOUN
ajmri-633	28	47	.	.	PUNCT
ajmri-633	29	1	2	2	X
ajmri-633	29	2	.	.	X
ajmri-633	29	3	card	card	NOUN
ajmri-633	29	4	not	not	PART
ajmri-633	29	5	present	present	ADJ
ajmri-633	29	6	(	(	PUNCT
ajmri-633	29	7	cnp	cnp	PROPN
ajmri-633	29	8	):	):	PUNCT
ajmri-633	29	9	this	this	PRON
ajmri-633	29	10	occurs	occur	VERB
ajmri-633	29	11	when	when	SCONJ
ajmri-633	29	12	the	the	DET
ajmri-633	29	13	fraudster	fraudster	NOUN
ajmri-633	29	14	knows	know	VERB
ajmri-633	29	15	the	the	DET
ajmri-633	29	16	credit	credit	NOUN
ajmri-633	29	17	card	card	NOUN
ajmri-633	29	18	’s	’s	PART
ajmri-633	29	19	expiration	expiration	NOUN
ajmri-633	29	20	date	date	NOUN
ajmri-633	29	21	and	and	CCONJ
ajmri-633	29	22	account	account	NOUN
ajmri-633	29	23	number	number	NOUN
ajmri-633	29	24	.	.	PUNCT
ajmri-633	30	1	3	3	X
ajmri-633	30	2	.	.	PUNCT
ajmri-633	30	3	lost	lose	VERB
ajmri-633	30	4	/	/	SYM
ajmri-633	30	5	stolen	steal	VERB
ajmri-633	30	6	card	card	NOUN
ajmri-633	30	7	:	:	PUNCT
ajmri-633	30	8	when	when	SCONJ
ajmri-633	30	9	a	a	DET
ajmri-633	30	10	credit	credit	NOUN
ajmri-633	30	11	card	card	NOUN
ajmri-633	30	12	is	be	AUX
ajmri-633	30	13	misplaced	misplace	VERB
ajmri-633	30	14	by	by	ADP
ajmri-633	30	15	the	the	DET
ajmri-633	30	16	account	account	NOUN
ajmri-633	30	17	holder	holder	NOUN
ajmri-633	30	18	,	,	PUNCT
ajmri-633	30	19	this	this	PRON
ajmri-633	30	20	happens	happen	VERB
ajmri-633	30	21	.	.	PUNCT
ajmri-633	31	1	any	any	DET
ajmri-633	31	2	scammer	scammer	NOUN
ajmri-633	31	3	who	who	PRON
ajmri-633	31	4	wants	want	VERB
ajmri-633	31	5	to	to	PART
ajmri-633	31	6	make	make	VERB
ajmri-633	31	7	a	a	DET
ajmri-633	31	8	payment	payment	NOUN
ajmri-633	31	9	with	with	ADP
ajmri-633	31	10	it	it	PRON
ajmri-633	31	11	can	can	AUX
ajmri-633	31	12	get	get	VERB
ajmri-633	31	13	their	their	PRON
ajmri-633	31	14	hands	hand	NOUN
ajmri-633	31	15	on	on	ADP
ajmri-633	31	16	it	it	PRON
ajmri-633	31	17	.	.	PUNCT
ajmri-633	32	1	making	make	VERB
ajmri-633	32	2	a	a	DET
ajmri-633	32	3	payment	payment	NOUN
ajmri-633	32	4	,	,	PUNCT
ajmri-633	32	5	on	on	ADP
ajmri-633	32	6	the	the	DET
ajmri-633	32	7	other	other	ADJ
ajmri-633	32	8	hand	hand	NOUN
ajmri-633	32	9	,	,	PUNCT
ajmri-633	32	10	is	be	AUX
ajmri-633	32	11	difficult	difficult	ADJ
ajmri-633	32	12	since	since	SCONJ
ajmri-633	32	13	it	it	PRON
ajmri-633	32	14	requires	require	VERB
ajmri-633	32	15	a	a	DET
ajmri-633	32	16	pin	pin	NOUN
ajmri-633	32	17	that	that	PRON
ajmri-633	32	18	is	be	AUX
ajmri-633	32	19	unknown	unknown	ADJ
ajmri-633	32	20	to	to	ADP
ajmri-633	32	21	the	the	DET
ajmri-633	32	22	fraudsters	fraudster	NOUN
ajmri-633	32	23	4	4	NUM
ajmri-633	32	24	.	.	PUNCT
ajmri-633	32	25	electronic	electronic	ADJ
ajmri-633	32	26	card	card	NOUN
ajmri-633	32	27	:	:	PUNCT
ajmri-633	32	28	the	the	DET
ajmri-633	32	29	card	card	NOUN
ajmri-633	32	30	information	information	NOUN
ajmri-633	32	31	on	on	ADP
ajmri-633	32	32	the	the	DET
ajmri-633	32	33	magnetic	magnetic	ADJ
ajmri-633	32	34	stripe	stripe	NOUN
ajmri-633	32	35	is	be	AUX
ajmri-633	32	36	skimmed	skim	VERB
ajmri-633	32	37	by	by	ADP
ajmri-633	32	38	this	this	DET
ajmri-633	32	39	electronic	electronic	ADJ
ajmri-633	32	40	card	card	NOUN
ajmri-633	32	41	.	.	PUNCT
ajmri-633	33	1	it	it	PRON
ajmri-633	33	2	saves	save	VERB
ajmri-633	33	3	the	the	DET
ajmri-633	33	4	data	datum	NOUN
ajmri-633	33	5	,	,	PUNCT
ajmri-633	33	6	and	and	CCONJ
ajmri-633	33	7	the	the	DET
ajmri-633	33	8	fraudster	fraudster	NOUN
ajmri-633	33	9	can	can	AUX
ajmri-633	33	10	access	access	VERB
ajmri-633	33	11	it	it	PRON
ajmri-633	33	12	at	at	ADP
ajmri-633	33	13	any	any	DET
ajmri-633	33	14	time	time	NOUN
ajmri-633	33	15	.	.	PUNCT
ajmri-633	34	1	5	5	X
ajmri-633	34	2	.	.	X
ajmri-633	34	3	phishing	phishe	VERB
ajmri-633	34	4	:	:	PUNCT
ajmri-633	34	5	it	it	PRON
ajmri-633	34	6	is	be	AUX
ajmri-633	34	7	a	a	DET
ajmri-633	34	8	type	type	NOUN
ajmri-633	34	9	of	of	ADP
ajmri-633	34	10	social	social	ADJ
ajmri-633	34	11	media	medium	NOUN
ajmri-633	34	12	victim	victim	NOUN
ajmri-633	34	13	in	in	ADP
ajmri-633	34	14	which	which	PRON
ajmri-633	34	15	the	the	DET
ajmri-633	34	16	customer	customer	NOUN
ajmri-633	34	17	’s	’s	PART
ajmri-633	34	18	personal	personal	ADJ
ajmri-633	34	19	information	information	NOUN
ajmri-633	34	20	,	,	PUNCT
ajmri-633	34	21	login	login	NOUN
ajmri-633	34	22	passwords	password	NOUN
ajmri-633	34	23	,	,	PUNCT
ajmri-633	34	24	and	and	CCONJ
ajmri-633	34	25	payment	payment	NOUN
ajmri-633	34	26	card	card	NOUN
ajmri-633	34	27	details	detail	NOUN
ajmri-633	34	28	are	be	AUX
ajmri-633	34	29	stolen	steal	VERB
ajmri-633	34	30	.	.	PUNCT
ajmri-633	35	1	6	6	NUM
ajmri-633	35	2	.	.	X
ajmri-633	35	3	account	account	NOUN
ajmri-633	35	4	takeover	takeover	NOUN
ajmri-633	35	5	:	:	PUNCT
ajmri-633	35	6	this	this	PRON
ajmri-633	35	7	is	be	AUX
ajmri-633	35	8	the	the	DET
ajmri-633	35	9	most	most	ADV
ajmri-633	35	10	typical	typical	ADJ
ajmri-633	35	11	type	type	NOUN
ajmri-633	35	12	of	of	ADP
ajmri-633	35	13	deception	deception	NOUN
ajmri-633	35	14	.	.	PUNCT
ajmri-633	36	1	the	the	DET
ajmri-633	36	2	fraudster	fraudster	NOUN
ajmri-633	36	3	will	will	AUX
ajmri-633	36	4	have	have	VERB
ajmri-633	36	5	access	access	NOUN
ajmri-633	36	6	to	to	ADP
ajmri-633	36	7	the	the	DET
ajmri-633	36	8	cardholder	cardholder	NOUN
ajmri-633	36	9	’s	’s	PART
ajmri-633	36	10	account	account	NOUN
ajmri-633	36	11	information	information	NOUN
ajmri-633	36	12	as	as	ADV
ajmri-633	36	13	well	well	ADV
ajmri-633	36	14	as	as	ADP
ajmri-633	36	15	all	all	DET
ajmri-633	36	16	relevant	relevant	ADJ
ajmri-633	36	17	documents	document	NOUN
ajmri-633	36	18	.	.	PUNCT
ajmri-633	37	1	various	various	ADJ
ajmri-633	37	2	techniques	technique	NOUN
ajmri-633	37	3	are	be	AUX
ajmri-633	37	4	used	use	VERB
ajmri-633	37	5	to	to	PART
ajmri-633	37	6	detect	detect	VERB
ajmri-633	37	7	fraud	fraud	NOUN
ajmri-633	37	8	such	such	ADJ
ajmri-633	37	9	as	as	ADP
ajmri-633	37	10	machine	machine	NOUN
ajmri-633	37	11	learning	learning	NOUN
ajmri-633	37	12	,	,	PUNCT
ajmri-633	37	13	deep	deep	ADJ
ajmri-633	37	14	learning	learning	NOUN
ajmri-633	37	15	,	,	PUNCT
ajmri-633	37	16	and	and	CCONJ
ajmri-633	37	17	data	datum	NOUN
ajmri-633	37	18	mining	mining	NOUN
ajmri-633	37	19	approachs	approach	NOUN
ajmri-633	37	20	.	.	PUNCT
ajmri-633	38	1	credit	credit	NOUN
ajmri-633	38	2	card	card	NOUN
ajmri-633	38	3	dataset	dataset	NOUN
ajmri-633	38	4	is	be	AUX
ajmri-633	38	5	highly	highly	ADV
ajmri-633	38	6	skewed	skewed	ADJ
ajmri-633	38	7	and	and	CCONJ
ajmri-633	38	8	imbalanced	imbalance	VERB
ajmri-633	38	9	where	where	SCONJ
ajmri-633	38	10	undersampling	undersampling	ADJ
ajmri-633	38	11	,	,	PUNCT
ajmri-633	38	12	over	over	ADP
ajmri-633	38	13	-	-	PUNCT
ajmri-633	38	14	sampling	sampling	NOUN
ajmri-633	38	15	,	,	PUNCT
ajmri-633	38	16	smote	smote	ADJ
ajmri-633	38	17	,	,	PUNCT
ajmri-633	38	18	and	and	CCONJ
ajmri-633	38	19	adasyn	adasyn	NOUN
ajmri-633	38	20	techniques	technique	NOUN
ajmri-633	38	21	are	be	AUX
ajmri-633	38	22	used	use	VERB
ajmri-633	38	23	for	for	ADP
ajmri-633	38	24	getting	get	VERB
ajmri-633	38	25	balanced	balanced	ADJ
ajmri-633	38	26	data	datum	NOUN
ajmri-633	38	27	.	.	PUNCT
ajmri-633	39	1	sampling	sample	VERB
ajmri-633	39	2	techniques	technique	NOUN
ajmri-633	39	3	implementation	implementation	NOUN
ajmri-633	39	4	is	be	AUX
ajmri-633	39	5	very	very	ADV
ajmri-633	39	6	difficult	difficult	ADJ
ajmri-633	39	7	for	for	ADP
ajmri-633	39	8	skewed	skewed	ADJ
ajmri-633	39	9	data	datum	NOUN
ajmri-633	39	10	.	.	PUNCT
ajmri-633	40	1	these	these	DET
ajmri-633	40	2	types	type	NOUN
ajmri-633	40	3	dataset	dataset	VERB
ajmri-633	40	4	do	do	AUX
ajmri-633	40	5	n’t	not	PART
ajmri-633	40	6	get	get	VERB
ajmri-633	40	7	easily	easily	ADV
ajmri-633	40	8	from	from	ADP
ajmri-633	40	9	the	the	DET
ajmri-633	40	10	providers	provider	NOUN
ajmri-633	40	11	of	of	ADP
ajmri-633	40	12	the	the	DET
ajmri-633	40	13	dataset	dataset	NOUN
ajmri-633	40	14	.	.	PUNCT
ajmri-633	41	1	credit	credit	NOUN
ajmri-633	41	2	card	card	NOUN
ajmri-633	41	3	detection	detection	NOUN
ajmri-633	41	4	has	have	VERB
ajmri-633	41	5	a	a	DET
ajmri-633	41	6	variety	variety	NOUN
ajmri-633	41	7	of	of	ADP
ajmri-633	41	8	challenges	challenge	NOUN
ajmri-633	41	9	,	,	PUNCT
ajmri-633	41	10	including	include	VERB
ajmri-633	41	11	the	the	DET
ajmri-633	41	12	fact	fact	NOUN
ajmri-633	41	13	that	that	SCONJ
ajmri-633	41	14	fraudulent	fraudulent	ADJ
ajmri-633	41	15	behavior	behavior	NOUN
ajmri-633	41	16	profiles	profile	NOUN
ajmri-633	41	17	are	be	AUX
ajmri-633	41	18	dynamic	dynamic	ADJ
ajmri-633	41	19	,	,	PUNCT
ajmri-633	41	20	making	make	VERB
ajmri-633	41	21	fraudulent	fraudulent	ADJ
ajmri-633	41	22	transactions	transaction	NOUN
ajmri-633	41	23	appear	appear	VERB
ajmri-633	41	24	to	to	PART
ajmri-633	41	25	be	be	AUX
ajmri-633	41	26	lawful	lawful	ADJ
ajmri-633	41	27	.	.	PUNCT
ajmri-633	42	1	credit	credit	NOUN
ajmri-633	42	2	card	card	NOUN
ajmri-633	42	3	transaction	transaction	NOUN
ajmri-633	42	4	databases	database	NOUN
ajmri-633	42	5	are	be	AUX
ajmri-633	42	6	hard	hard	ADJ
ajmri-633	42	7	to	to	PART
ajmri-633	42	8	come	come	VERB
ajmri-633	42	9	by	by	ADV
ajmri-633	42	10	and	and	CCONJ
ajmri-633	42	11	are	be	AUX
ajmri-633	42	12	often	often	ADV
ajmri-633	42	13	skewed	skewed	ADJ
ajmri-633	42	14	(	(	PUNCT
ajmri-633	42	15	unbalanced	unbalanced	ADJ
ajmri-633	42	16	)	)	PUNCT
ajmri-633	42	17	.	.	PUNCT
ajmri-633	43	1	models	model	NOUN
ajmri-633	43	2	with	with	ADP
ajmri-633	43	3	the	the	DET
ajmri-633	43	4	best	good	ADJ
ajmri-633	43	5	feature	feature	NOUN
ajmri-633	43	6	https://doi.org/10.54536/ajmri.v1i4.633	https://doi.org/10.54536/ajmri.v1i4.633	NOUN
ajmri-633	43	7	https://journals.e-palli.com/home/index.php/ajmri	https://journals.e-palli.com/home/index.php/ajmri	PROPN
ajmri-633	43	8	pa	pa	PROPN
ajmri-633	43	9	ge	ge	PROPN
ajmri-633	44	1	16	16	NUM
ajmri-633	44	2	1	1	NUM
ajmri-633	44	3	https://journals.e-palli.com/home/index.php/ajmri	https://journals.e-palli.com/home/index.php/ajmri	PROPN
ajmri-633	44	4	am	am	NOUN
ajmri-633	44	5	.	.	PUNCT
ajmri-633	45	1	j.	j.	PROPN
ajmri-633	45	2	multidis	multidis	PROPN
ajmri-633	45	3	.	.	PUNCT
ajmri-633	46	1	res	re	NOUN
ajmri-633	46	2	.	.	PUNCT
ajmri-633	47	1	innov	innov	PROPN
ajmri-633	47	2	.	.	PUNCT
ajmri-633	48	1	1(4	1(4	NUM
ajmri-633	48	2	)	)	PUNCT
ajmri-633	48	3	150	150	NUM
ajmri-633	48	4	-	-	SYM
ajmri-633	48	5	159	159	NUM
ajmri-633	48	6	,	,	PUNCT
ajmri-633	48	7	2022	2022	NUM
ajmri-633	48	8	(	(	PUNCT
ajmri-633	48	9	variable	variable	ADJ
ajmri-633	48	10	)	)	PUNCT
ajmri-633	48	11	selection	selection	NOUN
ajmri-633	48	12	;	;	PUNCT
ajmri-633	49	1	suitable	suitable	ADJ
ajmri-633	49	2	metric	metric	NOUN
ajmri-633	49	3	for	for	ADP
ajmri-633	49	4	assessing	assess	VERB
ajmri-633	49	5	approach	approach	NOUN
ajmri-633	49	6	success	success	NOUN
ajmri-633	49	7	on	on	ADP
ajmri-633	49	8	skewed	skewed	ADJ
ajmri-633	49	9	data	datum	NOUN
ajmri-633	49	10	.	.	PUNCT
ajmri-633	50	1	many	many	ADJ
ajmri-633	50	2	techniques	technique	NOUN
ajmri-633	50	3	support	support	VERB
ajmri-633	50	4	vector	vector	NOUN
ajmri-633	50	5	machine	machine	NOUN
ajmri-633	50	6	,	,	PUNCT
ajmri-633	50	7	na¨ıve	na¨ıve	PROPN
ajmri-633	50	8	bayes	bayes	PROPN
ajmri-633	50	9	,	,	PUNCT
ajmri-633	50	10	k	k	NOUN
ajmri-633	50	11	-	-	PUNCT
ajmri-633	50	12	means	mean	VERB
ajmri-633	50	13	clustering	clustering	NOUN
ajmri-633	50	14	,	,	PUNCT
ajmri-633	50	15	decision	decision	NOUN
ajmri-633	50	16	tree	tree	NOUN
ajmri-633	50	17	,	,	PUNCT
ajmri-633	50	18	genetic	genetic	ADJ
ajmri-633	50	19	algorithm	algorithm	NOUN
ajmri-633	50	20	,	,	PUNCT
ajmri-633	50	21	and	and	CCONJ
ajmri-633	50	22	logistic	logistic	ADJ
ajmri-633	50	23	regression	regression	NOUN
ajmri-633	50	24	have	have	AUX
ajmri-633	50	25	been	be	AUX
ajmri-633	50	26	applied	apply	VERB
ajmri-633	50	27	to	to	PART
ajmri-633	50	28	detect	detect	VERB
ajmri-633	50	29	credit	credit	NOUN
ajmri-633	50	30	card	card	NOUN
ajmri-633	50	31	fraud	fraud	NOUN
ajmri-633	50	32	.	.	PUNCT
ajmri-633	51	1	the	the	DET
ajmri-633	51	2	performance	performance	NOUN
ajmri-633	51	3	of	of	ADP
ajmri-633	51	4	artificial	artificial	ADJ
ajmri-633	51	5	neural	neural	ADJ
ajmri-633	51	6	networks	network	NOUN
ajmri-633	51	7	,	,	PUNCT
ajmri-633	51	8	convolution	convolution	NOUN
ajmri-633	51	9	neural	neural	ADJ
ajmri-633	51	10	network	network	NOUN
ajmri-633	51	11	,	,	PUNCT
ajmri-633	51	12	multilayer	multilayer	ADJ
ajmri-633	51	13	perceptrons	perceptron	NOUN
ajmri-633	51	14	,	,	PUNCT
ajmri-633	51	15	random	random	ADJ
ajmri-633	51	16	forest	forest	NOUN
ajmri-633	51	17	,	,	PUNCT
ajmri-633	51	18	and	and	CCONJ
ajmri-633	51	19	k	k	X
ajmri-633	51	20	-	-	PUNCT
ajmri-633	51	21	nearest	near	ADJ
ajmri-633	51	22	neighbor	neighbor	NOUN
ajmri-633	51	23	is	be	AUX
ajmri-633	51	24	also	also	ADV
ajmri-633	51	25	evaluated	evaluate	VERB
ajmri-633	51	26	on	on	ADP
ajmri-633	51	27	credit	credit	NOUN
ajmri-633	51	28	card	card	NOUN
ajmri-633	51	29	fraud	fraud	NOUN
ajmri-633	51	30	.	.	PUNCT
ajmri-633	52	1	the	the	DET
ajmri-633	52	2	main	main	ADJ
ajmri-633	52	3	goal	goal	NOUN
ajmri-633	52	4	of	of	ADP
ajmri-633	52	5	this	this	DET
ajmri-633	52	6	study	study	NOUN
ajmri-633	52	7	is	be	AUX
ajmri-633	52	8	to	to	PART
ajmri-633	52	9	find	find	VERB
ajmri-633	52	10	out	out	ADP
ajmri-633	52	11	the	the	DET
ajmri-633	52	12	best	good	ADJ
ajmri-633	52	13	sampling	sampling	NOUN
ajmri-633	52	14	techniques	technique	NOUN
ajmri-633	52	15	and	and	CCONJ
ajmri-633	52	16	evaluate	evaluate	VERB
ajmri-633	52	17	the	the	DET
ajmri-633	52	18	different	different	ADJ
ajmri-633	52	19	classifier	classifier	NOUN
ajmri-633	52	20	performances	performance	NOUN
ajmri-633	52	21	,	,	PUNCT
ajmri-633	52	22	also	also	ADV
ajmri-633	52	23	abilities	ability	NOUN
ajmri-633	52	24	to	to	PART
ajmri-633	52	25	classify	classify	VERB
ajmri-633	52	26	fraudulent	fraudulent	ADJ
ajmri-633	52	27	and	and	CCONJ
ajmri-633	52	28	non	non	ADJ
ajmri-633	52	29	-	-	ADJ
ajmri-633	52	30	fraudulent	fraudulent	ADJ
ajmri-633	52	31	transactions	transaction	NOUN
ajmri-633	52	32	.	.	PUNCT
ajmri-633	53	1	the	the	DET
ajmri-633	53	2	rest	rest	NOUN
ajmri-633	53	3	of	of	ADP
ajmri-633	53	4	this	this	DET
ajmri-633	53	5	paper	paper	NOUN
ajmri-633	53	6	is	be	AUX
ajmri-633	53	7	organized	organize	VERB
ajmri-633	53	8	as	as	SCONJ
ajmri-633	53	9	follows	follow	VERB
ajmri-633	53	10	:	:	PUNCT
ajmri-633	53	11	section	section	PROPN
ajmri-633	53	12	ii	ii	PROPN
ajmri-633	53	13	gives	give	VERB
ajmri-633	53	14	related	related	ADJ
ajmri-633	53	15	works	work	NOUN
ajmri-633	53	16	.	.	PUNCT
ajmri-633	54	1	section	section	NOUN
ajmri-633	54	2	iii	iii	PROPN
ajmri-633	54	3	describes	describe	VERB
ajmri-633	54	4	the	the	DET
ajmri-633	54	5	experimental	experimental	ADJ
ajmri-633	54	6	setup	setup	NOUN
ajmri-633	54	7	approach	approach	NOUN
ajmri-633	54	8	including	include	VERB
ajmri-633	54	9	the	the	DET
ajmri-633	54	10	four	four	NUM
ajmri-633	54	11	sampling	sample	VERB
ajmri-633	54	12	techniques	technique	NOUN
ajmri-633	54	13	and	and	CCONJ
ajmri-633	54	14	five	five	NUM
ajmri-633	54	15	classifier	classifier	ADJ
ajmri-633	54	16	methods	method	NOUN
ajmri-633	54	17	.	.	PUNCT
ajmri-633	55	1	section	section	NOUN
ajmri-633	55	2	iv	iv	NUM
ajmri-633	55	3	describes	describe	VERB
ajmri-633	55	4	the	the	DET
ajmri-633	55	5	performance	performance	NOUN
ajmri-633	55	6	evaluation	evaluation	NOUN
ajmri-633	55	7	.	.	PUNCT
ajmri-633	56	1	section	section	NOUN
ajmri-633	56	2	v	v	NOUN
ajmri-633	56	3	describes	describe	VERB
ajmri-633	56	4	the	the	DET
ajmri-633	56	5	results	result	NOUN
ajmri-633	56	6	and	and	CCONJ
ajmri-633	56	7	comparison	comparison	NOUN
ajmri-633	56	8	.	.	PUNCT
ajmri-633	57	1	lastly	lastly	ADV
ajmri-633	57	2	,	,	PUNCT
ajmri-633	57	3	section	section	NOUN
ajmri-633	57	4	vi	vi	PROPN
ajmri-633	57	5	displays	display	VERB
ajmri-633	57	6	future	future	ADJ
ajmri-633	57	7	work	work	NOUN
ajmri-633	57	8	and	and	CCONJ
ajmri-633	57	9	concludes	conclude	VERB
ajmri-633	57	10	this	this	DET
ajmri-633	57	11	paper	paper	NOUN
ajmri-633	57	12	.	.	PUNCT
ajmri-633	58	1	literature	literature	NOUN
ajmri-633	58	2	review	review	VERB
ajmri-633	58	3	multiple	multiple	ADJ
ajmri-633	58	4	machine	machine	NOUN
ajmri-633	58	5	learning	learn	VERB
ajmri-633	58	6	techniques	technique	NOUN
ajmri-633	58	7	(	(	PUNCT
ajmri-633	58	8	asha	asha	PROPN
ajmri-633	58	9	,	,	PUNCT
ajmri-633	58	10	et	et	PROPN
ajmri-633	58	11	al	al	PROPN
ajmri-633	58	12	.	.	PROPN
ajmri-633	58	13	,	,	PUNCT
ajmri-633	58	14	2021	2021	NUM
ajmri-633	58	15	)	)	PUNCT
ajmri-633	58	16	like	like	ADP
ajmri-633	58	17	support	support	NOUN
ajmri-633	58	18	vector	vector	NOUN
ajmri-633	58	19	machine	machine	NOUN
ajmri-633	58	20	(	(	PUNCT
ajmri-633	58	21	svm	svm	PROPN
ajmri-633	58	22	)	)	PUNCT
ajmri-633	58	23	,	,	PUNCT
ajmri-633	58	24	k	k	X
ajmri-633	58	25	-	-	PUNCT
ajmri-633	58	26	nearest	near	ADJ
ajmri-633	58	27	neighbor	neighbor	NOUN
ajmri-633	58	28	,	,	PUNCT
ajmri-633	58	29	and	and	CCONJ
ajmri-633	58	30	deep	deep	ADJ
ajmri-633	58	31	learning	learning	NOUN
ajmri-633	58	32	techniques	technique	NOUN
ajmri-633	58	33	like	like	ADP
ajmri-633	58	34	artificial	artificial	ADJ
ajmri-633	58	35	neural	neural	ADJ
ajmri-633	58	36	networks	network	NOUN
ajmri-633	58	37	have	have	AUX
ajmri-633	58	38	been	be	AUX
ajmri-633	58	39	used	use	VERB
ajmri-633	58	40	to	to	PART
ajmri-633	58	41	detect	detect	VERB
ajmri-633	58	42	fraud	fraud	NOUN
ajmri-633	58	43	and	and	CCONJ
ajmri-633	58	44	nonfraud	nonfraud	NOUN
ajmri-633	58	45	transactions	transaction	NOUN
ajmri-633	58	46	.	.	PUNCT
ajmri-633	59	1	they	they	PRON
ajmri-633	59	2	have	have	AUX
ajmri-633	59	3	collected	collect	VERB
ajmri-633	59	4	a	a	DET
ajmri-633	59	5	dataset	dataset	ADJ
ajmri-633	59	6	total	total	NOUN
ajmri-633	59	7	of	of	ADP
ajmri-633	59	8	284807	284807	NUM
ajmri-633	59	9	from	from	ADP
ajmri-633	59	10	kaggle	kaggle	VERB
ajmri-633	59	11	where	where	SCONJ
ajmri-633	59	12	492	492	NUM
ajmri-633	59	13	or	or	CCONJ
ajmri-633	59	14	0.1792	0.1792	NUM
ajmri-633	59	15	percent	percent	NOUN
ajmri-633	59	16	are	be	AUX
ajmri-633	59	17	fraud	fraud	NOUN
ajmri-633	59	18	cases	case	NOUN
ajmri-633	59	19	.	.	PUNCT
ajmri-633	60	1	the	the	DET
ajmri-633	60	2	dataset	dataset	NOUN
ajmri-633	60	3	is	be	AUX
ajmri-633	60	4	highly	highly	ADV
ajmri-633	60	5	skewed	skewed	ADJ
ajmri-633	60	6	and	and	CCONJ
ajmri-633	60	7	imbalanced	imbalanced	ADJ
ajmri-633	60	8	.	.	PUNCT
ajmri-633	61	1	the	the	DET
ajmri-633	61	2	proposed	propose	VERB
ajmri-633	61	3	system	system	NOUN
ajmri-633	61	4	shows	show	VERB
ajmri-633	61	5	that	that	SCONJ
ajmri-633	61	6	ann	ann	PROPN
ajmri-633	61	7	gives	give	VERB
ajmri-633	61	8	better	well	ADJ
ajmri-633	61	9	accuracy	accuracy	NOUN
ajmri-633	61	10	than	than	ADP
ajmri-633	61	11	svm	svm	PROPN
ajmri-633	61	12	and	and	CCONJ
ajmri-633	61	13	knn	knn	PROPN
ajmri-633	61	14	.	.	PUNCT
ajmri-633	62	1	ann	ann	PROPN
ajmri-633	62	2	produces	produce	VERB
ajmri-633	62	3	99.92	99.92	NUM
ajmri-633	62	4	%	%	NOUN
ajmri-633	62	5	accuracy	accuracy	NOUN
ajmri-633	62	6	,	,	PUNCT
ajmri-633	62	7	81.15	81.15	NUM
ajmri-633	62	8	%	%	NOUN
ajmri-633	62	9	precision	precision	NOUN
ajmri-633	62	10	,	,	PUNCT
ajmri-633	62	11	and	and	CCONJ
ajmri-633	62	12	76.19	76.19	NUM
ajmri-633	62	13	%	%	NOUN
ajmri-633	62	14	recall	recall	NOUN
ajmri-633	62	15	.	.	PUNCT
ajmri-633	63	1	ann	ann	PROPN
ajmri-633	63	2	is	be	AUX
ajmri-633	63	3	the	the	DET
ajmri-633	63	4	best	good	ADJ
ajmri-633	63	5	method	method	NOUN
ajmri-633	63	6	among	among	ADP
ajmri-633	63	7	them	they	PRON
ajmri-633	63	8	for	for	ADP
ajmri-633	63	9	credit	credit	NOUN
ajmri-633	63	10	card	card	NOUN
ajmri-633	63	11	fraud	fraud	NOUN
ajmri-633	63	12	detection	detection	NOUN
ajmri-633	63	13	.	.	PUNCT
ajmri-633	64	1	in	in	ADP
ajmri-633	64	2	paper	paper	NOUN
ajmri-633	64	3	(	(	PUNCT
ajmri-633	64	4	awoyemi	awoyemi	PROPN
ajmri-633	64	5	,	,	PUNCT
ajmri-633	64	6	et	et	PROPN
ajmri-633	64	7	al	al	PROPN
ajmri-633	64	8	.	.	PROPN
ajmri-633	64	9	,	,	PUNCT
ajmri-633	64	10	2017	2017	NUM
ajmri-633	64	11	)	)	PUNCT
ajmri-633	64	12	,	,	PUNCT
ajmri-633	64	13	research	research	NOUN
ajmri-633	64	14	showed	show	VERB
ajmri-633	64	15	how	how	SCONJ
ajmri-633	64	16	to	to	PART
ajmri-633	64	17	get	get	VERB
ajmri-633	64	18	a	a	DET
ajmri-633	64	19	better	well	ADJ
ajmri-633	64	20	result	result	NOUN
ajmri-633	64	21	after	after	ADP
ajmri-633	64	22	using	use	VERB
ajmri-633	64	23	the	the	DET
ajmri-633	64	24	hybrid	hybrid	NOUN
ajmri-633	64	25	sampling	sample	VERB
ajmri-633	64	26	techniques	technique	NOUN
ajmri-633	64	27	in	in	ADP
ajmri-633	64	28	an	an	DET
ajmri-633	64	29	imbalanced	imbalanced	ADJ
ajmri-633	64	30	dataset	dataset	NOUN
ajmri-633	64	31	.	.	PUNCT
ajmri-633	65	1	in	in	ADP
ajmri-633	65	2	this	this	DET
ajmri-633	65	3	paper	paper	NOUN
ajmri-633	65	4	,	,	PUNCT
ajmri-633	65	5	they	they	PRON
ajmri-633	65	6	have	have	AUX
ajmri-633	65	7	used	use	VERB
ajmri-633	65	8	oversampling	oversample	VERB
ajmri-633	65	9	and	and	CCONJ
ajmri-633	65	10	undersampling	undersample	VERB
ajmri-633	65	11	techniques	technique	NOUN
ajmri-633	65	12	to	to	PART
ajmri-633	65	13	get	get	VERB
ajmri-633	65	14	a	a	DET
ajmri-633	65	15	balanced	balanced	ADJ
ajmri-633	65	16	dataset	dataset	NOUN
ajmri-633	65	17	and	and	CCONJ
ajmri-633	65	18	get	get	VERB
ajmri-633	65	19	an	an	DET
ajmri-633	65	20	equal	equal	ADJ
ajmri-633	65	21	number	number	NOUN
ajmri-633	65	22	of	of	ADP
ajmri-633	65	23	fraud	fraud	NOUN
ajmri-633	65	24	&	&	CCONJ
ajmri-633	65	25	non	non	ADJ
ajmri-633	65	26	-	-	ADJ
ajmri-633	65	27	fraud	fraud	ADJ
ajmri-633	65	28	transactions	transaction	NOUN
ajmri-633	65	29	.	.	PUNCT
ajmri-633	66	1	they	they	PRON
ajmri-633	66	2	differentiate	differentiate	VERB
ajmri-633	66	3	the	the	DET
ajmri-633	66	4	results	result	NOUN
ajmri-633	66	5	between	between	ADP
ajmri-633	66	6	before	before	ADP
ajmri-633	66	7	using	use	VERB
ajmri-633	66	8	the	the	DET
ajmri-633	66	9	sampling	sample	VERB
ajmri-633	66	10	techniques	technique	NOUN
ajmri-633	66	11	and	and	CCONJ
ajmri-633	66	12	after	after	ADP
ajmri-633	66	13	the	the	DET
ajmri-633	66	14	sampling	sample	VERB
ajmri-633	66	15	techniques	technique	NOUN
ajmri-633	66	16	.	.	PUNCT
ajmri-633	67	1	knearest	knearest	PROPN
ajmri-633	67	2	neighbor	neighbor	NOUN
ajmri-633	67	3	is	be	AUX
ajmri-633	67	4	outperformed	outperform	VERB
ajmri-633	67	5	across	across	ADP
ajmri-633	67	6	the	the	DET
ajmri-633	67	7	evaluation	evaluation	NOUN
ajmri-633	67	8	metrics	metric	NOUN
ajmri-633	67	9	and	and	CCONJ
ajmri-633	67	10	got	get	VERB
ajmri-633	67	11	better	well	ADJ
ajmri-633	67	12	results	result	NOUN
ajmri-633	67	13	for	for	ADP
ajmri-633	67	14	precision	precision	NOUN
ajmri-633	67	15	and	and	CCONJ
ajmri-633	67	16	specificity	specificity	NOUN
ajmri-633	67	17	(	(	PUNCT
ajmri-633	67	18	that	that	PRON
ajmri-633	67	19	is	be	AUX
ajmri-633	67	20	1.0	1.0	NUM
ajmri-633	67	21	)	)	PUNCT
ajmri-633	67	22	.	.	PUNCT
ajmri-633	68	1	the	the	DET
ajmri-633	68	2	knn	knn	PROPN
ajmri-633	68	3	performs	perform	VERB
ajmri-633	68	4	better	well	ADJ
ajmri-633	68	5	than	than	ADP
ajmri-633	68	6	other	other	ADJ
ajmri-633	68	7	classifiers	classifier	NOUN
ajmri-633	68	8	.	.	PUNCT
ajmri-633	69	1	the	the	DET
ajmri-633	69	2	nb	nb	PROPN
ajmri-633	69	3	,	,	PUNCT
ajmri-633	69	4	knn	knn	PROPN
ajmri-633	69	5	,	,	PUNCT
ajmri-633	69	6	and	and	CCONJ
ajmri-633	69	7	logistic	logistic	ADJ
ajmri-633	69	8	regression	regression	NOUN
ajmri-633	69	9	classifiers	classifier	NOUN
ajmri-633	69	10	are	be	AUX
ajmri-633	69	11	obtained	obtain	VERB
ajmri-633	69	12	97.92	97.92	NUM
ajmri-633	69	13	%	%	NOUN
ajmri-633	69	14	,	,	PUNCT
ajmri-633	69	15	97.69	97.69	NUM
ajmri-633	69	16	%	%	NOUN
ajmri-633	69	17	,	,	PUNCT
ajmri-633	69	18	and	and	CCONJ
ajmri-633	69	19	54.86	54.86	NUM
ajmri-633	69	20	%	%	NOUN
ajmri-633	69	21	accuracy	accuracy	NOUN
ajmri-633	69	22	respectively	respectively	ADV
ajmri-633	69	23	.	.	PUNCT
ajmri-633	70	1	in	in	ADP
ajmri-633	70	2	paper	paper	NOUN
ajmri-633	70	3	(	(	PUNCT
ajmri-633	70	4	dejan	dejan	PROPN
ajmri-633	70	5	,	,	PUNCT
ajmri-633	70	6	et	et	PROPN
ajmri-633	70	7	al	al	PROPN
ajmri-633	70	8	.	.	PROPN
ajmri-633	70	9	,2019	,2019	PUNCT
ajmri-633	70	10	)	)	PUNCT
ajmri-633	70	11	used	use	VERB
ajmri-633	70	12	4	4	NUM
ajmri-633	70	13	different	different	ADJ
ajmri-633	70	14	machine	machine	NOUN
ajmri-633	70	15	learning	learn	VERB
ajmri-633	70	16	algorithms	algorithm	NOUN
ajmri-633	70	17	in	in	ADP
ajmri-633	70	18	their	their	PRON
ajmri-633	70	19	research	research	NOUN
ajmri-633	70	20	on	on	ADP
ajmri-633	70	21	the	the	DET
ajmri-633	70	22	balanced	balanced	ADJ
ajmri-633	70	23	datasets	dataset	NOUN
ajmri-633	70	24	.	.	PUNCT
ajmri-633	71	1	smote	smote	ADJ
ajmri-633	71	2	sampling	sample	VERB
ajmri-633	71	3	techniques	technique	NOUN
ajmri-633	71	4	have	have	AUX
ajmri-633	71	5	been	be	AUX
ajmri-633	71	6	used	use	VERB
ajmri-633	71	7	to	to	PART
ajmri-633	71	8	balance	balance	VERB
ajmri-633	71	9	the	the	DET
ajmri-633	71	10	dataset	dataset	NOUN
ajmri-633	71	11	.	.	PUNCT
ajmri-633	72	1	they	they	PRON
ajmri-633	72	2	have	have	AUX
ajmri-633	72	3	found	find	VERB
ajmri-633	72	4	random	random	ADJ
ajmri-633	72	5	forest	forest	NOUN
ajmri-633	72	6	classifier	classifier	NOUN
ajmri-633	72	7	shows	show	VERB
ajmri-633	72	8	better	well	ADJ
ajmri-633	72	9	results	result	NOUN
ajmri-633	72	10	from	from	ADP
ajmri-633	72	11	other	other	ADJ
ajmri-633	72	12	classifiers	classifier	NOUN
ajmri-633	72	13	.	.	PUNCT
ajmri-633	73	1	the	the	DET
ajmri-633	73	2	accuracy	accuracy	NOUN
ajmri-633	73	3	,	,	PUNCT
ajmri-633	73	4	precision	precision	NOUN
ajmri-633	73	5	,	,	PUNCT
ajmri-633	73	6	and	and	CCONJ
ajmri-633	73	7	recall	recall	NOUN
ajmri-633	73	8	are	be	AUX
ajmri-633	73	9	99.96	99.96	NUM
ajmri-633	73	10	%	%	NOUN
ajmri-633	73	11	,	,	PUNCT
ajmri-633	73	12	81.63	81.63	NUM
ajmri-633	73	13	%	%	NOUN
ajmri-633	73	14	,	,	PUNCT
ajmri-633	73	15	and	and	CCONJ
ajmri-633	73	16	96.938	96.938	NUM
ajmri-633	73	17	%	%	NOUN
ajmri-633	73	18	respectively	respectively	ADV
ajmri-633	73	19	.	.	PUNCT
ajmri-633	74	1	(	(	PUNCT
ajmri-633	74	2	samidha	samidha	NOUN
ajmri-633	74	3	,	,	PUNCT
ajmri-633	74	4	et	et	PROPN
ajmri-633	74	5	al	al	PROPN
ajmri-633	74	6	.	.	PROPN
ajmri-633	74	7	,	,	PUNCT
ajmri-633	74	8	2020	2020	NUM
ajmri-633	74	9	)	)	PUNCT
ajmri-633	74	10	have	have	AUX
ajmri-633	74	11	specified	specify	VERB
ajmri-633	74	12	different	different	ADJ
ajmri-633	74	13	supervised	supervised	ADJ
ajmri-633	74	14	machine	machine	NOUN
ajmri-633	74	15	learning	learn	VERB
ajmri-633	74	16	techniques	technique	NOUN
ajmri-633	74	17	like	like	ADP
ajmri-633	74	18	decision	decision	NOUN
ajmri-633	74	19	tree	tree	NOUN
ajmri-633	74	20	,	,	PUNCT
ajmri-633	74	21	logistic	logistic	ADJ
ajmri-633	74	22	regression	regression	NOUN
ajmri-633	74	23	,	,	PUNCT
ajmri-633	74	24	knn	knn	PROPN
ajmri-633	74	25	,	,	PUNCT
ajmri-633	74	26	random	random	ADJ
ajmri-633	74	27	forest	forest	NOUN
ajmri-633	74	28	,	,	PUNCT
ajmri-633	74	29	and	and	CCONJ
ajmri-633	74	30	naive	naive	ADJ
ajmri-633	74	31	bayes	bayes	NOUN
ajmri-633	74	32	to	to	PART
ajmri-633	74	33	differentiate	differentiate	VERB
ajmri-633	74	34	between	between	ADP
ajmri-633	74	35	fraudulent	fraudulent	ADJ
ajmri-633	74	36	and	and	CCONJ
ajmri-633	74	37	legitimate	legitimate	ADJ
ajmri-633	74	38	transactions	transaction	NOUN
ajmri-633	74	39	.	.	PUNCT
ajmri-633	75	1	precision	precision	NOUN
ajmri-633	75	2	,	,	PUNCT
ajmri-633	75	3	sensitivity	sensitivity	NOUN
ajmri-633	75	4	,	,	PUNCT
ajmri-633	75	5	and	and	CCONJ
ajmri-633	75	6	time	time	NOUN
ajmri-633	75	7	used	use	VERB
ajmri-633	75	8	for	for	ADP
ajmri-633	75	9	the	the	DET
ajmri-633	75	10	evaluation	evaluation	NOUN
ajmri-633	75	11	performance	performance	NOUN
ajmri-633	75	12	.	.	PUNCT
ajmri-633	76	1	they	they	PRON
ajmri-633	76	2	have	have	AUX
ajmri-633	76	3	evaluated	evaluate	VERB
ajmri-633	76	4	performance	performance	NOUN
ajmri-633	76	5	based	base	VERB
ajmri-633	76	6	on	on	ADP
ajmri-633	76	7	the	the	DET
ajmri-633	76	8	threshold	threshold	NOUN
ajmri-633	76	9	value	value	NOUN
ajmri-633	76	10	between	between	ADP
ajmri-633	76	11	0.5(default	0.5(default	PROPN
ajmri-633	76	12	value	value	NOUN
ajmri-633	76	13	)	)	PUNCT
ajmri-633	76	14	&	&	CCONJ
ajmri-633	76	15	0.4	0.4	NUM
ajmri-633	76	16	.	.	PUNCT
ajmri-633	77	1	when	when	SCONJ
ajmri-633	77	2	the	the	DET
ajmri-633	77	3	threshold	threshold	NOUN
ajmri-633	77	4	value	value	NOUN
ajmri-633	77	5	is	be	AUX
ajmri-633	77	6	0.4	0.4	NUM
ajmri-633	77	7	,	,	PUNCT
ajmri-633	77	8	the	the	DET
ajmri-633	77	9	proposed	propose	VERB
ajmri-633	77	10	system	system	NOUN
ajmri-633	77	11	gives	give	VERB
ajmri-633	77	12	the	the	DET
ajmri-633	77	13	best	good	ADJ
ajmri-633	77	14	output	output	NOUN
ajmri-633	77	15	.	.	PUNCT
ajmri-633	78	1	the	the	DET
ajmri-633	78	2	decision	decision	NOUN
ajmri-633	78	3	tree	tree	NOUN
ajmri-633	78	4	gives	give	VERB
ajmri-633	78	5	better	well	ADJ
ajmri-633	78	6	results	result	NOUN
ajmri-633	78	7	according	accord	VERB
ajmri-633	78	8	to	to	ADP
ajmri-633	78	9	the	the	DET
ajmri-633	78	10	parameters	parameter	NOUN
ajmri-633	78	11	like	like	ADP
ajmri-633	78	12	precision	precision	NOUN
ajmri-633	78	13	,	,	PUNCT
ajmri-633	78	14	sensitivity	sensitivity	NOUN
ajmri-633	78	15	,	,	PUNCT
ajmri-633	78	16	and	and	CCONJ
ajmri-633	78	17	time	time	NOUN
ajmri-633	78	18	.	.	PUNCT
ajmri-633	79	1	(	(	PUNCT
ajmri-633	79	2	mohammed	mohammed	PROPN
ajmri-633	79	3	,	,	PUNCT
ajmri-633	79	4	et	et	PROPN
ajmri-633	79	5	al	al	PROPN
ajmri-633	79	6	.	.	PROPN
ajmri-633	79	7	,2020	,2020	PROPN
ajmri-633	79	8	)	)	PUNCT
ajmri-633	79	9	,	,	PUNCT
ajmri-633	79	10	have	have	AUX
ajmri-633	79	11	discussed	discuss	VERB
ajmri-633	79	12	how	how	SCONJ
ajmri-633	79	13	machine	machine	NOUN
ajmri-633	79	14	learning	learning	NOUN
ajmri-633	79	15	and	and	CCONJ
ajmri-633	79	16	artificial	artificial	ADJ
ajmri-633	79	17	neural	neural	ADJ
ajmri-633	79	18	networks	network	NOUN
ajmri-633	79	19	use	use	VERB
ajmri-633	79	20	to	to	PART
ajmri-633	79	21	identify	identify	VERB
ajmri-633	79	22	the	the	DET
ajmri-633	79	23	potential	potential	ADJ
ajmri-633	79	24	fraudsters	fraudster	NOUN
ajmri-633	79	25	who	who	PRON
ajmri-633	79	26	referred	refer	VERB
ajmri-633	79	27	to	to	ADP
ajmri-633	79	28	their	their	PRON
ajmri-633	79	29	previous	previous	ADJ
ajmri-633	79	30	mistakes	mistake	NOUN
ajmri-633	79	31	and	and	CCONJ
ajmri-633	79	32	fraudster	fraudster	NOUN
ajmri-633	79	33	’s	’s	PART
ajmri-633	79	34	details	detail	NOUN
ajmri-633	79	35	.	.	PUNCT
ajmri-633	80	1	they	they	PRON
ajmri-633	80	2	also	also	ADV
ajmri-633	80	3	work	work	VERB
ajmri-633	80	4	with	with	ADP
ajmri-633	80	5	the	the	DET
ajmri-633	80	6	same	same	ADJ
ajmri-633	80	7	dataset	dataset	NOUN
ajmri-633	80	8	.	.	PUNCT
ajmri-633	81	1	they	they	PRON
ajmri-633	81	2	evaluated	evaluate	VERB
ajmri-633	81	3	their	their	PRON
ajmri-633	81	4	performance	performance	NOUN
ajmri-633	81	5	based	base	VERB
ajmri-633	81	6	on	on	ADP
ajmri-633	81	7	an	an	DET
ajmri-633	81	8	imbalanced	imbalanced	ADJ
ajmri-633	81	9	dataset	dataset	NOUN
ajmri-633	81	10	distributed	distribute	VERB
ajmri-633	81	11	into	into	ADP
ajmri-633	81	12	the	the	DET
ajmri-633	81	13	training	training	NOUN
ajmri-633	81	14	and	and	CCONJ
ajmri-633	81	15	testing	testing	NOUN
ajmri-633	81	16	set	set	NOUN
ajmri-633	81	17	(	(	PUNCT
ajmri-633	81	18	10:90	10:90	NUM
ajmri-633	81	19	)	)	PUNCT
ajmri-633	81	20	.	.	PUNCT
ajmri-633	82	1	the	the	DET
ajmri-633	82	2	research	research	NOUN
ajmri-633	82	3	applied	apply	VERB
ajmri-633	82	4	naïve	naïve	ADJ
ajmri-633	82	5	bayes	bayes	NOUN
ajmri-633	82	6	,	,	PUNCT
ajmri-633	82	7	random	random	ADJ
ajmri-633	82	8	forest	forest	NOUN
ajmri-633	82	9	,	,	PUNCT
ajmri-633	82	10	logistic	logistic	ADJ
ajmri-633	82	11	regression	regression	NOUN
ajmri-633	82	12	,	,	PUNCT
ajmri-633	82	13	multiple	multiple	ADJ
ajmri-633	82	14	linear	linear	ADJ
ajmri-633	82	15	regression	regression	NOUN
ajmri-633	82	16	,	,	PUNCT
ajmri-633	82	17	and	and	CCONJ
ajmri-633	82	18	neural	neural	ADJ
ajmri-633	82	19	networks	network	NOUN
ajmri-633	82	20	classifiers	classifier	NOUN
ajmri-633	82	21	.	.	PUNCT
ajmri-633	83	1	to	to	PART
ajmri-633	83	2	get	get	VERB
ajmri-633	83	3	better	well	ADJ
ajmri-633	83	4	results	result	NOUN
ajmri-633	83	5	,	,	PUNCT
ajmri-633	83	6	they	they	PRON
ajmri-633	83	7	have	have	AUX
ajmri-633	83	8	suggested	suggest	VERB
ajmri-633	83	9	additional	additional	ADJ
ajmri-633	83	10	techniques	technique	NOUN
ajmri-633	83	11	like	like	ADP
ajmri-633	83	12	under	under	NOUN
ajmri-633	83	13	-	-	PUNCT
ajmri-633	83	14	sampling	sampling	NOUN
ajmri-633	83	15	,	,	PUNCT
ajmri-633	83	16	over	over	ADP
ajmri-633	83	17	-	-	PUNCT
ajmri-633	83	18	sampling	sampling	NOUN
ajmri-633	83	19	,	,	PUNCT
ajmri-633	83	20	and	and	CCONJ
ajmri-633	83	21	cost	cost	NOUN
ajmri-633	83	22	-	-	PUNCT
ajmri-633	83	23	sensitive	sensitive	ADJ
ajmri-633	83	24	loss	loss	NOUN
ajmri-633	83	25	functions	function	NOUN
ajmri-633	83	26	applied	apply	VERB
ajmri-633	83	27	on	on	ADP
ajmri-633	83	28	an	an	DET
ajmri-633	83	29	imbalanced	imbalanced	ADJ
ajmri-633	83	30	dataset	dataset	NOUN
ajmri-633	83	31	to	to	PART
ajmri-633	83	32	get	get	VERB
ajmri-633	83	33	the	the	DET
ajmri-633	83	34	balanced	balanced	ADJ
ajmri-633	83	35	dataset	dataset	NOUN
ajmri-633	83	36	solving	solve	VERB
ajmri-633	83	37	the	the	DET
ajmri-633	83	38	problem	problem	NOUN
ajmri-633	83	39	.	.	PUNCT
ajmri-633	84	1	the	the	DET
ajmri-633	84	2	paper	paper	NOUN
ajmri-633	84	3	(	(	PUNCT
ajmri-633	84	4	deepti	deepti	PROPN
ajmri-633	84	5	,	,	PUNCT
ajmri-633	84	6	rt	rt	PROPN
ajmri-633	84	7	al	al	PROPN
ajmri-633	84	8	.	.	PROPN
ajmri-633	84	9	,	,	PUNCT
ajmri-633	84	10	2018	2018	NUM
ajmri-633	84	11	)	)	PUNCT
ajmri-633	84	12	,	,	PUNCT
ajmri-633	84	13	used	use	VERB
ajmri-633	84	14	knn	knn	PROPN
ajmri-633	84	15	,	,	PUNCT
ajmri-633	84	16	logistic	logistic	ADJ
ajmri-633	84	17	regression	regression	NOUN
ajmri-633	84	18	,	,	PUNCT
ajmri-633	84	19	decision	decision	NOUN
ajmri-633	84	20	tree	tree	NOUN
ajmri-633	84	21	,	,	PUNCT
ajmri-633	84	22	and	and	CCONJ
ajmri-633	84	23	naive	naive	ADJ
ajmri-633	84	24	bayes	bayes	NOUN
ajmri-633	84	25	classifiers	classifier	NOUN
ajmri-633	84	26	on	on	ADP
ajmri-633	84	27	the	the	DET
ajmri-633	84	28	balanced	balanced	ADJ
ajmri-633	84	29	dataset	dataset	NOUN
ajmri-633	84	30	getting	get	VERB
ajmri-633	84	31	the	the	DET
ajmri-633	84	32	better	well	ADJ
ajmri-633	84	33	result	result	NOUN
ajmri-633	84	34	.	.	PUNCT
ajmri-633	85	1	they	they	PRON
ajmri-633	85	2	used	use	VERB
ajmri-633	85	3	different	different	ADJ
ajmri-633	85	4	sampling	sample	VERB
ajmri-633	85	5	techniques	technique	NOUN
ajmri-633	85	6	like	like	ADP
ajmri-633	85	7	oversampling	oversample	VERB
ajmri-633	85	8	and	and	CCONJ
ajmri-633	85	9	undersampling	undersample	VERB
ajmri-633	85	10	to	to	PART
ajmri-633	85	11	convert	convert	VERB
ajmri-633	85	12	an	an	DET
ajmri-633	85	13	imbalanced	imbalanced	ADJ
ajmri-633	85	14	dataset	dataset	NOUN
ajmri-633	85	15	into	into	ADP
ajmri-633	85	16	a	a	DET
ajmri-633	85	17	balanced	balanced	ADJ
ajmri-633	85	18	one	one	NOUN
ajmri-633	85	19	.	.	PUNCT
ajmri-633	86	1	the	the	DET
ajmri-633	86	2	knn	knn	PROPN
ajmri-633	86	3	shows	show	VERB
ajmri-633	86	4	better	well	ADJ
ajmri-633	86	5	results	result	NOUN
ajmri-633	86	6	from	from	ADP
ajmri-633	86	7	all	all	DET
ajmri-633	86	8	the	the	DET
ajmri-633	86	9	algorithms	algorithm	NOUN
ajmri-633	86	10	based	base	VERB
ajmri-633	86	11	on	on	ADP
ajmri-633	86	12	evaluation	evaluation	NOUN
ajmri-633	86	13	metrics	metric	NOUN
ajmri-633	86	14	.	.	PUNCT
ajmri-633	87	1	the	the	DET
ajmri-633	87	2	paper	paper	NOUN
ajmri-633	87	3	(	(	PUNCT
ajmri-633	87	4	manoj	manoj	PROPN
ajmri-633	87	5	,	,	PUNCT
ajmri-633	87	6	et	et	PROPN
ajmri-633	87	7	al	al	PROPN
ajmri-633	87	8	.	.	PROPN
ajmri-633	87	9	,2021	,2021	PUNCT
ajmri-633	87	10	)	)	PUNCT
ajmri-633	87	11	have	have	AUX
ajmri-633	87	12	discussed	discuss	VERB
ajmri-633	87	13	supervised	supervised	ADJ
ajmri-633	87	14	algorithms	algorithm	NOUN
ajmri-633	87	15	like	like	ADP
ajmri-633	87	16	lr	lr	PROPN
ajmri-633	87	17	,	,	PUNCT
ajmri-633	87	18	knn	knn	PROPN
ajmri-633	87	19	,	,	PUNCT
ajmri-633	87	20	dt	dt	PUNCT
ajmri-633	87	21	and	and	CCONJ
ajmri-633	87	22	un	un	VERB
ajmri-633	87	23	-	-	ADJ
ajmri-633	87	24	supervised	supervised	ADJ
ajmri-633	87	25	learning	learning	NOUN
ajmri-633	87	26	such	such	ADJ
ajmri-633	87	27	as	as	ADP
ajmri-633	87	28	dbscan	dbscan	NOUN
ajmri-633	87	29	and	and	CCONJ
ajmri-633	87	30	k	k	NOUN
ajmri-633	87	31	-	-	PUNCT
ajmri-633	87	32	means	mean	NOUN
ajmri-633	87	33	.	.	PUNCT
ajmri-633	88	1	getting	get	VERB
ajmri-633	88	2	better	well	ADJ
ajmri-633	88	3	results	result	NOUN
ajmri-633	88	4	,	,	PUNCT
ajmri-633	88	5	they	they	PRON
ajmri-633	88	6	have	have	AUX
ajmri-633	88	7	also	also	ADV
ajmri-633	88	8	used	use	VERB
ajmri-633	88	9	advanced	advanced	ADJ
ajmri-633	88	10	algorithms	algorithm	NOUN
ajmri-633	88	11	like	like	ADP
ajmri-633	88	12	multi	multi	ADJ
ajmri-633	88	13	-	-	ADJ
ajmri-633	88	14	layer	layer	ADJ
ajmri-633	88	15	perceptron	perceptron	NOUN
ajmri-633	88	16	and	and	CCONJ
ajmri-633	88	17	few	few	ADJ
ajmri-633	88	18	of	of	ADP
ajmri-633	88	19	the	the	DET
ajmri-633	88	20	ensemble	ensemble	ADJ
ajmri-633	88	21	techniques	technique	NOUN
ajmri-633	88	22	like	like	ADP
ajmri-633	88	23	rf	rf	NOUN
ajmri-633	88	24	,	,	PUNCT
ajmri-633	88	25	gradient	gradient	ADJ
ajmri-633	88	26	boost	boost	NOUN
ajmri-633	88	27	and	and	CCONJ
ajmri-633	88	28	xgboost	xgboost	X
ajmri-633	88	29	.	.	PUNCT
ajmri-633	89	1	this	this	DET
ajmri-633	89	2	paper	paper	NOUN
ajmri-633	89	3	showed	show	VERB
ajmri-633	89	4	an	an	DET
ajmri-633	89	5	imbalanced	imbalanced	ADJ
ajmri-633	89	6	dataset	dataset	NOUN
ajmri-633	89	7	result	result	NOUN
ajmri-633	89	8	and	and	CCONJ
ajmri-633	89	9	result	result	VERB
ajmri-633	89	10	after	after	ADP
ajmri-633	89	11	balancing	balance	VERB
ajmri-633	89	12	.	.	PUNCT
ajmri-633	90	1	the	the	DET
ajmri-633	90	2	rf	rf	NOUN
ajmri-633	90	3	gives	give	VERB
ajmri-633	90	4	satisfactory	satisfactory	ADJ
ajmri-633	90	5	result	result	NOUN
ajmri-633	90	6	among	among	ADP
ajmri-633	90	7	10	10	NUM
ajmri-633	90	8	algorithms	algorithm	NOUN
ajmri-633	90	9	depends	depend	VERB
ajmri-633	90	10	on	on	ADP
ajmri-633	90	11	accuracy	accuracy	NOUN
ajmri-633	90	12	,	,	PUNCT
ajmri-633	90	13	precision	precision	NOUN
ajmri-633	90	14	,	,	PUNCT
ajmri-633	90	15	recall	recall	NOUN
ajmri-633	90	16	and	and	CCONJ
ajmri-633	90	17	f1	f1	NOUN
ajmri-633	90	18	-	-	PUNCT
ajmri-633	90	19	score	score	NOUN
ajmri-633	90	20	.	.	PUNCT
ajmri-633	91	1	this	this	DET
ajmri-633	91	2	study	study	NOUN
ajmri-633	91	3	mainly	mainly	ADV
ajmri-633	91	4	focus	focus	VERB
ajmri-633	91	5	the	the	DET
ajmri-633	91	6	value	value	NOUN
ajmri-633	91	7	of	of	ADP
ajmri-633	91	8	accuracy	accuracy	NOUN
ajmri-633	91	9	and	and	CCONJ
ajmri-633	91	10	f1	f1	NOUN
ajmri-633	91	11	-	-	PUNCT
ajmri-633	91	12	score	score	NOUN
ajmri-633	91	13	in	in	ADP
ajmri-633	91	14	both	both	DET
ajmri-633	91	15	cases	case	NOUN
ajmri-633	91	16	.	.	PUNCT
ajmri-633	92	1	the	the	DET
ajmri-633	92	2	paper	paper	NOUN
ajmri-633	92	3	(	(	PUNCT
ajmri-633	92	4	dilip	dilip	PROPN
ajmri-633	92	5	,	,	PUNCT
ajmri-633	92	6	rt	rt	PROPN
ajmri-633	92	7	al	al	PROPN
ajmri-633	92	8	.	.	PROPN
ajmri-633	92	9	,	,	PUNCT
ajmri-633	92	10	2017	2017	NUM
ajmri-633	92	11	)	)	PUNCT
ajmri-633	92	12	applied	apply	VERB
ajmri-633	92	13	different	different	ADJ
ajmri-633	92	14	oversampling	oversampling	ADJ
ajmri-633	92	15	techniques	technique	NOUN
ajmri-633	92	16	(	(	PUNCT
ajmri-633	92	17	smote	smote	ADJ
ajmri-633	92	18	,	,	PUNCT
ajmri-633	92	19	smote	smote	ADJ
ajmri-633	92	20	tl	tl	PROPN
ajmri-633	92	21	,	,	PUNCT
ajmri-633	92	22	smote	smote	PROPN
ajmri-633	92	23	enn	enn	PROPN
ajmri-633	92	24	,	,	PUNCT
ajmri-633	92	25	safe	safe	ADJ
ajmri-633	92	26	smote	smote	NOUN
ajmri-633	92	27	and	and	CCONJ
ajmri-633	92	28	ros	ro	NOUN
ajmri-633	92	29	)	)	PUNCT
ajmri-633	92	30	to	to	PART
ajmri-633	92	31	handle	handle	VERB
ajmri-633	92	32	an	an	DET
ajmri-633	92	33	imbalanced	imbalanced	ADJ
ajmri-633	92	34	problem	problem	NOUN
ajmri-633	92	35	and	and	CCONJ
ajmri-633	92	36	also	also	ADV
ajmri-633	92	37	applied	apply	VERB
ajmri-633	92	38	ensemble	ensemble	ADJ
ajmri-633	92	39	classifier	classifier	NOUN
ajmri-633	92	40	(	(	PUNCT
ajmri-633	92	41	adaboost	adaboost	ADV
ajmri-633	92	42	,	,	PUNCT
ajmri-633	92	43	bagging	bagging	NOUN
ajmri-633	92	44	)	)	PUNCT
ajmri-633	92	45	and	and	CCONJ
ajmri-633	92	46	cost	cost	NOUN
ajmri-633	92	47	sensitive	sensitive	ADJ
ajmri-633	92	48	(	(	PUNCT
ajmri-633	92	49	c4.5	c4.5	PROPN
ajmri-633	92	50	,	,	PUNCT
ajmri-633	92	51	csvm	csvm	NOUN
ajmri-633	92	52	)	)	PUNCT
ajmri-633	92	53	evaluating	evaluate	VERB
ajmri-633	92	54	the	the	DET
ajmri-633	92	55	performances	performance	NOUN
ajmri-633	92	56	using	use	VERB
ajmri-633	92	57	recall	recall	NOUN
ajmri-633	92	58	,	,	PUNCT
ajmri-633	92	59	g	g	NOUN
ajmri-633	92	60	-	-	PUNCT
ajmri-633	92	61	mean	mean	ADJ
ajmri-633	92	62	,	,	PUNCT
ajmri-633	92	63	specificity	specificity	NOUN
ajmri-633	92	64	,	,	PUNCT
ajmri-633	92	65	and	and	CCONJ
ajmri-633	92	66	area	area	NOUN
ajmri-633	92	67	under	under	ADP
ajmri-633	92	68	roc	roc	PROPN
ajmri-633	92	69	.	.	PUNCT
ajmri-633	93	1	they	they	PRON
ajmri-633	93	2	observed	observe	VERB
ajmri-633	93	3	the	the	DET
ajmri-633	93	4	smote	smote	ADJ
ajmri-633	93	5	enn	enn	PROPN
ajmri-633	93	6	sampling	sample	VERB
ajmri-633	93	7	technique	technique	NOUN
ajmri-633	93	8	detects	detect	NOUN
ajmri-633	93	9	the	the	DET
ajmri-633	93	10	fraud	fraud	NOUN
ajmri-633	93	11	better	well	ADV
ajmri-633	93	12	than	than	ADP
ajmri-633	93	13	other	other	ADJ
ajmri-633	93	14	sampling	sample	VERB
ajmri-633	93	15	techniques	technique	NOUN
ajmri-633	93	16	and	and	CCONJ
ajmri-633	93	17	tl	tl	PROPN
ajmri-633	93	18	taken	take	VERB
ajmri-633	93	19	better	well	ADJ
ajmri-633	93	20	place	place	NOUN
ajmri-633	93	21	on	on	ADP
ajmri-633	93	22	the	the	DET
ajmri-633	93	23	underampling	underample	VERB
ajmri-633	93	24	technique	technique	NOUN
ajmri-633	93	25	.	.	PUNCT
ajmri-633	94	1	in	in	ADP
ajmri-633	94	2	the	the	DET
ajmri-633	94	3	paper	paper	NOUN
ajmri-633	94	4	(	(	PUNCT
ajmri-633	94	5	hordri	hordri	PROPN
ajmri-633	94	6	,	,	PUNCT
ajmri-633	94	7	et	et	PROPN
ajmri-633	94	8	al	al	PROPN
ajmri-633	94	9	.	.	PROPN
ajmri-633	94	10	,	,	PUNCT
ajmri-633	94	11	2018	2018	NUM
ajmri-633	94	12	)	)	PUNCT
ajmri-633	94	13	they	they	PRON
ajmri-633	94	14	have	have	AUX
ajmri-633	94	15	collected	collect	VERB
ajmri-633	94	16	total	total	NOUN
ajmri-633	94	17	of	of	ADP
ajmri-633	94	18	284,807	284,807	NUM
ajmri-633	94	19	transactions	transaction	NOUN
ajmri-633	94	20	made	make	VERB
ajmri-633	94	21	in	in	ADP
ajmri-633	94	22	2013	2013	NUM
ajmri-633	94	23	by	by	ADP
ajmri-633	94	24	european	european	ADJ
ajmri-633	94	25	cardholders	cardholder	NOUN
ajmri-633	94	26	.	.	PUNCT
ajmri-633	95	1	their	their	PRON
ajmri-633	95	2	dataset	dataset	NOUN
ajmri-633	95	3	is	be	AUX
ajmri-633	95	4	highly	highly	ADV
ajmri-633	95	5	imbalance	imbalance	NOUN
ajmri-633	95	6	containing	contain	VERB
ajmri-633	95	7	only	only	ADV
ajmri-633	95	8	492	492	NUM
ajmri-633	95	9	fraud	fraud	NOUN
ajmri-633	95	10	transactions	transaction	NOUN
ajmri-633	95	11	.	.	PUNCT
ajmri-633	96	1	they	they	PRON
ajmri-633	96	2	have	have	AUX
ajmri-633	96	3	used	use	VERB
ajmri-633	96	4	three	three	NUM
ajmri-633	96	5	widely	widely	ADV
ajmri-633	96	6	used	use	VERB
ajmri-633	96	7	methods	method	NOUN
ajmri-633	96	8	rus	rus	PROPN
ajmri-633	96	9	,	,	PUNCT
ajmri-633	96	10	ros	ros	PROPN
ajmri-633	96	11	and	and	CCONJ
ajmri-633	96	12	smote	smote	VERB
ajmri-633	96	13	for	for	ADP
ajmri-633	96	14	sampling	sample	VERB
ajmri-633	96	15	.	.	PUNCT
ajmri-633	97	1	they	they	PRON
ajmri-633	97	2	have	have	AUX
ajmri-633	97	3	used	use	VERB
ajmri-633	97	4	naïve	naïve	ADJ
ajmri-633	97	5	bayes	bayes	NOUN
ajmri-633	97	6	,	,	PUNCT
ajmri-633	97	7	linear	linear	ADJ
ajmri-633	97	8	regression	regression	NOUN
ajmri-633	97	9	,	,	PUNCT
ajmri-633	97	10	random	random	ADJ
ajmri-633	97	11	forest	forest	NOUN
ajmri-633	97	12	and	and	CCONJ
ajmri-633	97	13	multilayer	multilayer	ADJ
ajmri-633	97	14	perception	perception	NOUN
ajmri-633	97	15	for	for	ADP
ajmri-633	97	16	classification	classification	NOUN
ajmri-633	97	17	.	.	PUNCT
ajmri-633	98	1	and	and	CCONJ
ajmri-633	98	2	among	among	ADP
ajmri-633	98	3	all	all	DET
ajmri-633	98	4	four	four	NUM
ajmri-633	98	5	classification	classification	NOUN
ajmri-633	98	6	techniques	technique	NOUN
ajmri-633	98	7	random	random	ADJ
ajmri-633	98	8	forest	forest	NOUN
ajmri-633	98	9	showed	show	VERB
ajmri-633	98	10	a	a	DET
ajmri-633	98	11	robust	robust	ADJ
ajmri-633	98	12	performance	performance	NOUN
ajmri-633	98	13	in	in	ADP
ajmri-633	98	14	three	three	NUM
ajmri-633	98	15	sampling	sample	VERB
ajmri-633	98	16	methods	method	NOUN
ajmri-633	98	17	.	.	PUNCT
ajmri-633	99	1	random	random	ADJ
ajmri-633	99	2	forest	forest	NOUN
ajmri-633	99	3	shows	show	VERB
ajmri-633	99	4	much	much	ADV
ajmri-633	99	5	higher	high	ADJ
ajmri-633	99	6	accuracy	accuracy	NOUN
ajmri-633	99	7	than	than	ADP
ajmri-633	99	8	the	the	DET
ajmri-633	99	9	naïve	naïve	ADJ
ajmri-633	99	10	bayes	bayes	NOUN
ajmri-633	99	11	,	,	PUNCT
ajmri-633	99	12	linear	linear	ADJ
ajmri-633	99	13	regression	regression	NOUN
ajmri-633	99	14	and	and	CCONJ
ajmri-633	99	15	multilayer	multilayer	ADJ
ajmri-633	99	16	perception	perception	NOUN
ajmri-633	99	17	for	for	ADP
ajmri-633	99	18	resampling	resample	VERB
ajmri-633	99	19	methods	method	NOUN
ajmri-633	99	20	.	.	PUNCT
ajmri-633	100	1	and	and	CCONJ
ajmri-633	100	2	it	it	PRON
ajmri-633	100	3	was	be	AUX
ajmri-633	100	4	also	also	ADV
ajmri-633	100	5	found	find	VERB
ajmri-633	100	6	that	that	SCONJ
ajmri-633	100	7	ros	ros	PROPN
ajmri-633	100	8	https://journals.e-palli.com/home/index.php/ajmri	https://journals.e-palli.com/home/index.php/ajmri	PROPN
ajmri-633	100	9	pa	pa	PROPN
ajmri-633	100	10	ge	ge	PROPN
ajmri-633	100	11	16	16	NUM
ajmri-633	100	12	2	2	NUM
ajmri-633	100	13	https://journals.e-palli.com/home/index.php/ajmri	https://journals.e-palli.com/home/index.php/ajmri	PROPN
ajmri-633	100	14	am	am	NOUN
ajmri-633	100	15	.	.	PUNCT
ajmri-633	101	1	j.	j.	PROPN
ajmri-633	101	2	multidis	multidis	PROPN
ajmri-633	101	3	.	.	PUNCT
ajmri-633	102	1	res	re	NOUN
ajmri-633	102	2	.	.	PUNCT
ajmri-633	103	1	innov	innov	PROPN
ajmri-633	103	2	.	.	PUNCT
ajmri-633	104	1	1(4	1(4	NUM
ajmri-633	104	2	)	)	PUNCT
ajmri-633	104	3	150	150	NUM
ajmri-633	104	4	-	-	SYM
ajmri-633	104	5	159	159	NUM
ajmri-633	104	6	,	,	PUNCT
ajmri-633	104	7	2022	2022	NUM
ajmri-633	104	8	gave	give	VERB
ajmri-633	104	9	convincing	convincing	ADJ
ajmri-633	104	10	results	result	NOUN
ajmri-633	104	11	compared	compare	VERB
ajmri-633	104	12	to	to	PART
ajmri-633	104	13	smote	smote	VERB
ajmri-633	104	14	.	.	PUNCT
ajmri-633	105	1	they	they	PRON
ajmri-633	105	2	also	also	ADV
ajmri-633	105	3	showed	show	VERB
ajmri-633	105	4	that	that	SCONJ
ajmri-633	105	5	ros	ros	PROPN
ajmri-633	105	6	gives	give	VERB
ajmri-633	105	7	much	much	ADV
ajmri-633	105	8	better	well	ADJ
ajmri-633	105	9	result	result	NOUN
ajmri-633	105	10	than	than	ADP
ajmri-633	105	11	the	the	DET
ajmri-633	105	12	smote	smote	NOUN
ajmri-633	105	13	.	.	PUNCT
ajmri-633	106	1	in	in	ADP
ajmri-633	106	2	the	the	DET
ajmri-633	106	3	paper	paper	NOUN
ajmri-633	106	4	(	(	PUNCT
ajmri-633	106	5	zhenchuan	zhenchuan	PROPN
ajmri-633	106	6	,	,	PUNCT
ajmri-633	106	7	et	et	PROPN
ajmri-633	106	8	al	al	PROPN
ajmri-633	106	9	.	.	PROPN
ajmri-633	106	10	,	,	PUNCT
ajmri-633	106	11	2021	2021	NUM
ajmri-633	106	12	)	)	PUNCT
ajmri-633	106	13	,	,	PUNCT
ajmri-633	106	14	they	they	PRON
ajmri-633	106	15	have	have	AUX
ajmri-633	106	16	proposed	propose	VERB
ajmri-633	106	17	a	a	DET
ajmri-633	106	18	hybrid	hybrid	ADJ
ajmri-633	106	19	method	method	NOUN
ajmri-633	106	20	to	to	PART
ajmri-633	106	21	handle	handle	VERB
ajmri-633	106	22	the	the	DET
ajmri-633	106	23	problem	problem	NOUN
ajmri-633	106	24	of	of	ADP
ajmri-633	106	25	class	class	NOUN
ajmri-633	106	26	imbalance	imbalance	NOUN
ajmri-633	106	27	with	with	ADP
ajmri-633	106	28	overlap	overlap	NOUN
ajmri-633	106	29	based	base	VERB
ajmri-633	106	30	on	on	ADP
ajmri-633	106	31	a	a	DET
ajmri-633	106	32	divided	divide	VERB
ajmri-633	106	33	and	and	CCONJ
ajmri-633	106	34	conquer	conquer	VERB
ajmri-633	106	35	idea	idea	NOUN
ajmri-633	106	36	.	.	PUNCT
ajmri-633	107	1	firstly	firstly	ADV
ajmri-633	107	2	,	,	PUNCT
ajmri-633	107	3	they	they	PRON
ajmri-633	107	4	have	have	AUX
ajmri-633	107	5	divided	divide	VERB
ajmri-633	107	6	the	the	DET
ajmri-633	107	7	main	main	ADJ
ajmri-633	107	8	dataset	dataset	NOUN
ajmri-633	107	9	into	into	ADP
ajmri-633	107	10	two	two	NUM
ajmri-633	107	11	parts	part	NOUN
ajmri-633	107	12	the	the	DET
ajmri-633	107	13	overlapping	overlap	VERB
ajmri-633	107	14	subset	subset	NOUN
ajmri-633	107	15	and	and	CCONJ
ajmri-633	107	16	non	non	ADJ
ajmri-633	107	17	-	-	ADJ
ajmri-633	107	18	overlapping	overlapping	ADJ
ajmri-633	107	19	subset	subset	NOUN
ajmri-633	107	20	which	which	PRON
ajmri-633	107	21	is	be	AUX
ajmri-633	107	22	performed	perform	VERB
ajmri-633	107	23	by	by	ADP
ajmri-633	107	24	k	k	PROPN
ajmri-633	107	25	-	-	PUNCT
ajmri-633	107	26	nearest	near	ADJ
ajmri-633	107	27	neighbor	neighbor	NOUN
ajmri-633	107	28	and	and	CCONJ
ajmri-633	107	29	its	its	PRON
ajmri-633	107	30	variations	variation	NOUN
ajmri-633	107	31	.	.	PUNCT
ajmri-633	108	1	after	after	ADP
ajmri-633	108	2	that	that	PRON
ajmri-633	108	3	a	a	DET
ajmri-633	108	4	model	model	NOUN
ajmri-633	108	5	is	be	AUX
ajmri-633	108	6	trained	train	VERB
ajmri-633	108	7	on	on	ADP
ajmri-633	108	8	the	the	DET
ajmri-633	108	9	minority	minority	NOUN
ajmri-633	108	10	samples	sample	NOUN
ajmri-633	108	11	for	for	ADP
ajmri-633	108	12	excluding	exclude	VERB
ajmri-633	108	13	both	both	CCONJ
ajmri-633	108	14	a	a	DET
ajmri-633	108	15	few	few	ADJ
ajmri-633	108	16	outliers	outlier	NOUN
ajmri-633	108	17	of	of	ADP
ajmri-633	108	18	minority	minority	NOUN
ajmri-633	108	19	class	class	NOUN
ajmri-633	108	20	and	and	CCONJ
ajmri-633	108	21	a	a	DET
ajmri-633	108	22	majority	majority	NOUN
ajmri-633	108	23	of	of	ADP
ajmri-633	108	24	the	the	DET
ajmri-633	108	25	majority	majority	NOUN
ajmri-633	108	26	class	class	NOUN
ajmri-633	108	27	from	from	ADP
ajmri-633	108	28	the	the	DET
ajmri-633	108	29	main	main	ADJ
ajmri-633	108	30	dataset	dataset	NOUN
ajmri-633	108	31	.	.	PUNCT
ajmri-633	109	1	and	and	CCONJ
ajmri-633	109	2	thus	thus	ADV
ajmri-633	109	3	,	,	PUNCT
ajmri-633	109	4	the	the	DET
ajmri-633	109	5	overlapping	overlap	VERB
ajmri-633	109	6	class	class	NOUN
ajmri-633	109	7	has	have	VERB
ajmri-633	109	8	a	a	DET
ajmri-633	109	9	very	very	ADV
ajmri-633	109	10	low	low	ADJ
ajmri-633	109	11	imbalance	imbalance	NOUN
ajmri-633	109	12	ratio	ratio	NOUN
ajmri-633	109	13	.	.	PUNCT
ajmri-633	110	1	for	for	ADP
ajmri-633	110	2	achieving	achieve	VERB
ajmri-633	110	3	better	well	ADJ
ajmri-633	110	4	result	result	NOUN
ajmri-633	110	5	,	,	PUNCT
ajmri-633	110	6	they	they	PRON
ajmri-633	110	7	also	also	ADV
ajmri-633	110	8	proposed	propose	VERB
ajmri-633	110	9	dynamic	dynamic	ADJ
ajmri-633	110	10	weighted	weight	VERB
ajmri-633	110	11	entropy	entropy	NOUN
ajmri-633	110	12	(	(	PUNCT
ajmri-633	110	13	dwe	dwe	PROPN
ajmri-633	110	14	)	)	PUNCT
ajmri-633	110	15	to	to	PART
ajmri-633	110	16	determine	determine	VERB
ajmri-633	110	17	its	its	PRON
ajmri-633	110	18	quality	quality	NOUN
ajmri-633	110	19	.	.	PUNCT
ajmri-633	111	1	they	they	PRON
ajmri-633	111	2	also	also	ADV
ajmri-633	111	3	consider	consider	VERB
ajmri-633	111	4	hyper	hyper	NOUN
ajmri-633	111	5	-	-	NOUN
ajmri-633	111	6	parameters	parameter	NOUN
ajmri-633	111	7	to	to	PART
ajmri-633	111	8	achieve	achieve	VERB
ajmri-633	111	9	greater	great	ADJ
ajmri-633	111	10	results	result	NOUN
ajmri-633	111	11	.	.	PUNCT
ajmri-633	112	1	in	in	ADP
ajmri-633	112	2	the	the	DET
ajmri-633	112	3	paper	paper	NOUN
ajmri-633	112	4	(	(	PUNCT
ajmri-633	112	5	alam	alam	PROPN
ajmri-633	112	6	,	,	PUNCT
ajmri-633	112	7	et	et	PROPN
ajmri-633	112	8	al	al	PROPN
ajmri-633	112	9	.	.	PROPN
ajmri-633	112	10	,	,	PUNCT
ajmri-633	112	11	2020	2020	NUM
ajmri-633	112	12	)	)	PUNCT
ajmri-633	112	13	,	,	PUNCT
ajmri-633	112	14	they	they	PRON
ajmri-633	112	15	mentioned	mention	VERB
ajmri-633	112	16	that	that	SCONJ
ajmri-633	112	17	imbalanced	imbalanced	ADJ
ajmri-633	112	18	data	datum	NOUN
ajmri-633	112	19	is	be	AUX
ajmri-633	112	20	crucial	crucial	ADJ
ajmri-633	112	21	to	to	PART
ajmri-633	112	22	enhance	enhance	VERB
ajmri-633	112	23	the	the	DET
ajmri-633	112	24	performance	performance	NOUN
ajmri-633	112	25	of	of	ADP
ajmri-633	112	26	the	the	DET
ajmri-633	112	27	model	model	NOUN
ajmri-633	112	28	because	because	SCONJ
ajmri-633	112	29	imbalanced	imbalanced	ADJ
ajmri-633	112	30	data	datum	NOUN
ajmri-633	112	31	provides	provide	VERB
ajmri-633	112	32	some	some	DET
ajmri-633	112	33	important	important	ADJ
ajmri-633	112	34	insights	insight	NOUN
ajmri-633	112	35	.	.	PUNCT
ajmri-633	113	1	it	it	PRON
ajmri-633	113	2	is	be	AUX
ajmri-633	113	3	very	very	ADV
ajmri-633	113	4	difficult	difficult	ADJ
ajmri-633	113	5	to	to	PART
ajmri-633	113	6	properly	properly	ADV
ajmri-633	113	7	train	train	VERB
ajmri-633	113	8	the	the	DET
ajmri-633	113	9	model	model	NOUN
ajmri-633	113	10	on	on	ADP
ajmri-633	113	11	that	that	DET
ajmri-633	113	12	dataset	dataset	NOUN
ajmri-633	113	13	.	.	PUNCT
ajmri-633	114	1	so	so	ADV
ajmri-633	114	2	various	various	ADJ
ajmri-633	114	3	resampling	resample	VERB
ajmri-633	114	4	techniques	technique	NOUN
ajmri-633	114	5	are	be	AUX
ajmri-633	114	6	used	use	VERB
ajmri-633	114	7	to	to	PART
ajmri-633	114	8	balance	balance	VERB
ajmri-633	114	9	the	the	DET
ajmri-633	114	10	dataset	dataset	NOUN
ajmri-633	114	11	.	.	PUNCT
ajmri-633	115	1	they	they	PRON
ajmri-633	115	2	also	also	ADV
ajmri-633	115	3	used	use	VERB
ajmri-633	115	4	data	datum	NOUN
ajmri-633	115	5	normalization	normalization	NOUN
ajmri-633	115	6	.	.	PUNCT
ajmri-633	116	1	but	but	CCONJ
ajmri-633	116	2	first	first	ADV
ajmri-633	116	3	they	they	PRON
ajmri-633	116	4	started	start	VERB
ajmri-633	116	5	with	with	ADP
ajmri-633	116	6	gbdt	gbdt	NOUN
ajmri-633	116	7	model	model	NOUN
ajmri-633	116	8	,	,	PUNCT
ajmri-633	116	9	then	then	ADV
ajmri-633	116	10	they	they	PRON
ajmri-633	116	11	compare	compare	VERB
ajmri-633	116	12	the	the	DET
ajmri-633	116	13	results	result	NOUN
ajmri-633	116	14	with	with	ADP
ajmri-633	116	15	traditional	traditional	ADJ
ajmri-633	116	16	machine	machine	NOUN
ajmri-633	116	17	learning	learning	NOUN
ajmri-633	116	18	models	model	NOUN
ajmri-633	116	19	.	.	PUNCT
ajmri-633	117	1	the	the	PRON
ajmri-633	117	2	obtained	obtain	VERB
ajmri-633	117	3	88.7	88.7	NUM
ajmri-633	117	4	percent	percent	NOUN
ajmri-633	117	5	accuracy	accuracy	NOUN
ajmri-633	117	6	by	by	ADP
ajmri-633	117	7	using	use	VERB
ajmri-633	117	8	gbdt	gbdt	NOUN
ajmri-633	117	9	method	method	NOUN
ajmri-633	117	10	which	which	PRON
ajmri-633	117	11	is	be	AUX
ajmri-633	117	12	much	much	ADV
ajmri-633	117	13	higher	high	ADJ
ajmri-633	117	14	than	than	ADP
ajmri-633	117	15	other	other	ADJ
ajmri-633	117	16	traditional	traditional	ADJ
ajmri-633	117	17	method	method	NOUN
ajmri-633	117	18	on	on	ADP
ajmri-633	117	19	a	a	DET
ajmri-633	117	20	taiwan	taiwan	PROPN
ajmri-633	117	21	client	client	NOUN
ajmri-633	117	22	’s	’s	PART
ajmri-633	117	23	credit	credit	NOUN
ajmri-633	117	24	dataset	dataset	NOUN
ajmri-633	117	25	.	.	PUNCT
ajmri-633	118	1	they	they	PRON
ajmri-633	118	2	also	also	ADV
ajmri-633	118	3	deployed	deploy	VERB
ajmri-633	118	4	their	their	PRON
ajmri-633	118	5	method	method	NOUN
ajmri-633	118	6	on	on	ADP
ajmri-633	118	7	the	the	DET
ajmri-633	118	8	web	web	NOUN
ajmri-633	118	9	to	to	PART
ajmri-633	118	10	assist	assist	VERB
ajmri-633	118	11	the	the	DET
ajmri-633	118	12	different	different	ADJ
ajmri-633	118	13	stakeholders	stakeholder	NOUN
ajmri-633	118	14	.	.	PUNCT
ajmri-633	119	1	in	in	ADP
ajmri-633	119	2	this	this	DET
ajmri-633	119	3	paper	paper	NOUN
ajmri-633	119	4	(	(	PUNCT
ajmri-633	119	5	luthra	luthra	ADJ
ajmri-633	119	6	,	,	PUNCT
ajmri-633	119	7	et	et	PROPN
ajmri-633	119	8	al	al	PROPN
ajmri-633	119	9	.	.	PROPN
ajmri-633	119	10	,	,	PUNCT
ajmri-633	119	11	2019	2019	NUM
ajmri-633	119	12	)	)	PUNCT
ajmri-633	119	13	,	,	PUNCT
ajmri-633	119	14	they	they	PRON
ajmri-633	119	15	have	have	AUX
ajmri-633	119	16	discussed	discuss	VERB
ajmri-633	119	17	about	about	ADP
ajmri-633	119	18	class	class	NOUN
ajmri-633	119	19	imbalance	imbalance	NOUN
ajmri-633	119	20	correction	correction	NOUN
ajmri-633	119	21	techniques	technique	NOUN
ajmri-633	119	22	such	such	ADJ
ajmri-633	119	23	as	as	ADP
ajmri-633	119	24	rus	rus	PROPN
ajmri-633	119	25	,	,	PUNCT
ajmri-633	119	26	ros	ros	PROPN
ajmri-633	119	27	,	,	PUNCT
ajmri-633	119	28	some	some	DET
ajmri-633	119	29	hybrid	hybrid	ADJ
ajmri-633	119	30	methods	method	NOUN
ajmri-633	119	31	and	and	CCONJ
ajmri-633	119	32	some	some	DET
ajmri-633	119	33	traditional	traditional	ADJ
ajmri-633	119	34	methods	method	NOUN
ajmri-633	119	35	.	.	PUNCT
ajmri-633	120	1	they	they	PRON
ajmri-633	120	2	also	also	ADV
ajmri-633	120	3	minimize	minimize	VERB
ajmri-633	120	4	the	the	DET
ajmri-633	120	5	class	class	NOUN
ajmri-633	120	6	imbalance	imbalance	NOUN
ajmri-633	120	7	issue	issue	NOUN
ajmri-633	120	8	that	that	PRON
ajmri-633	120	9	affects	affect	VERB
ajmri-633	120	10	the	the	DET
ajmri-633	120	11	performance	performance	NOUN
ajmri-633	120	12	of	of	ADP
ajmri-633	120	13	the	the	DET
ajmri-633	120	14	methods	method	NOUN
ajmri-633	120	15	.	.	PUNCT
ajmri-633	121	1	they	they	PRON
ajmri-633	121	2	performed	perform	VERB
ajmri-633	121	3	rus	rus	PROPN
ajmri-633	121	4	,	,	PUNCT
ajmri-633	121	5	ros	ros	PROPN
ajmri-633	121	6	,	,	PUNCT
ajmri-633	121	7	smote	smote	VERB
ajmri-633	121	8	,	,	PUNCT
ajmri-633	121	9	tomak	tomak	PROPN
ajmri-633	121	10	,	,	PUNCT
ajmri-633	121	11	enn	enn	PROPN
ajmri-633	121	12	,	,	PUNCT
ajmri-633	121	13	smote	smote	VERB
ajmri-633	121	14	+	+	CCONJ
ajmri-633	121	15	tomak	tomak	NOUN
ajmri-633	121	16	,	,	PUNCT
ajmri-633	121	17	smote	smote	VERB
ajmri-633	121	18	+	+	CCONJ
ajmri-633	121	19	enn	enn	PROPN
ajmri-633	121	20	on	on	ADP
ajmri-633	121	21	logistic	logistic	ADJ
ajmri-633	121	22	regression	regression	NOUN
ajmri-633	121	23	,	,	PUNCT
ajmri-633	121	24	decision	decision	NOUN
ajmri-633	121	25	trees	tree	NOUN
ajmri-633	121	26	,	,	PUNCT
ajmri-633	121	27	naïve	naïve	ADJ
ajmri-633	121	28	bayes	bayes	NOUN
ajmri-633	121	29	and	and	CCONJ
ajmri-633	121	30	random	random	ADJ
ajmri-633	121	31	forest	forest	NOUN
ajmri-633	121	32	to	to	PART
ajmri-633	121	33	check	check	VERB
ajmri-633	121	34	which	which	DET
ajmri-633	121	35	combination	combination	NOUN
ajmri-633	121	36	gives	give	VERB
ajmri-633	121	37	best	good	ADJ
ajmri-633	121	38	result	result	NOUN
ajmri-633	121	39	.	.	PUNCT
ajmri-633	122	1	among	among	ADP
ajmri-633	122	2	all	all	DET
ajmri-633	122	3	the	the	DET
ajmri-633	122	4	methods	method	NOUN
ajmri-633	122	5	the	the	DET
ajmri-633	122	6	hybrid	hybrid	ADJ
ajmri-633	122	7	methods	method	NOUN
ajmri-633	122	8	tend	tend	VERB
ajmri-633	122	9	to	to	PART
ajmri-633	122	10	give	give	VERB
ajmri-633	122	11	much	much	ADV
ajmri-633	122	12	higher	high	ADJ
ajmri-633	122	13	results	result	NOUN
ajmri-633	122	14	.	.	PUNCT
ajmri-633	123	1	methodology	methodology	NOUN
ajmri-633	123	2	dataset	dataset	VERB
ajmri-633	123	3	the	the	DET
ajmri-633	123	4	european	european	ADJ
ajmri-633	123	5	cardholders	cardholder	NOUN
ajmri-633	123	6	’	'	PUNCT
ajmri-633	123	7	dataset	dataset	NOUN
ajmri-633	123	8	had	have	AUX
ajmri-633	123	9	collected	collect	VERB
ajmri-633	123	10	over	over	ADP
ajmri-633	123	11	two	two	NUM
ajmri-633	123	12	days	day	NOUN
ajmri-633	123	13	in	in	ADP
ajmri-633	123	14	september	september	PROPN
ajmri-633	123	15	2013	2013	NUM
ajmri-633	123	16	from	from	ADP
ajmri-633	123	17	the	the	DET
ajmri-633	123	18	ulb	ulb	PROPN
ajmri-633	123	19	group	group	NOUN
ajmri-633	123	20	which	which	PRON
ajmri-633	123	21	can	can	AUX
ajmri-633	123	22	be	be	AUX
ajmri-633	123	23	downloaded	download	VERB
ajmri-633	123	24	from	from	ADP
ajmri-633	123	25	the	the	DET
ajmri-633	123	26	kaggle	kaggle	PROPN
ajmri-633	123	27	(	(	PUNCT
ajmri-633	123	28	awoyemi	awoyemi	PROPN
ajmri-633	123	29	,	,	PUNCT
ajmri-633	123	30	et	et	PROPN
ajmri-633	123	31	al	al	PROPN
ajmri-633	123	32	.	.	PROPN
ajmri-633	123	33	,	,	PUNCT
ajmri-633	123	34	2017	2017	NUM
ajmri-633	123	35	)	)	PUNCT
ajmri-633	123	36	,	,	PUNCT
ajmri-633	123	37	(	(	PUNCT
ajmri-633	123	38	varmedja	varmedja	PROPN
ajmri-633	123	39	,	,	PUNCT
ajmri-633	123	40	et	et	PROPN
ajmri-633	123	41	al	al	PROPN
ajmri-633	123	42	.	.	PROPN
ajmri-633	123	43	,	,	PUNCT
ajmri-633	123	44	2019	2019	NUM
ajmri-633	123	45	)	)	PUNCT
ajmri-633	123	46	,	,	PUNCT
ajmri-633	123	47	(	(	PUNCT
ajmri-633	123	48	samidha	samidha	NOUN
ajmri-633	123	49	,	,	PUNCT
ajmri-633	123	50	et	et	PROPN
ajmri-633	123	51	al	al	PROPN
ajmri-633	123	52	.	.	PROPN
ajmri-633	123	53	,	,	PUNCT
ajmri-633	123	54	2020	2020	NUM
ajmri-633	123	55	)	)	PUNCT
ajmri-633	123	56	,	,	PUNCT
ajmri-633	123	57	(	(	PUNCT
ajmri-633	123	58	azhan	azhan	NOUN
ajmri-633	123	59	,	,	PUNCT
ajmri-633	123	60	et	et	PROPN
ajmri-633	123	61	al	al	PROPN
ajmri-633	123	62	.	.	PROPN
ajmri-633	123	63	,	,	PUNCT
ajmri-633	123	64	2020	2020	NUM
ajmri-633	123	65	)	)	PUNCT
ajmri-633	123	66	,	,	PUNCT
ajmri-633	123	67	and	and	CCONJ
ajmri-633	123	68	(	(	PUNCT
ajmri-633	123	69	zareapoor	zareapoor	PROPN
ajmri-633	123	70	,	,	PUNCT
ajmri-633	123	71	et	et	PROPN
ajmri-633	123	72	al	al	PROPN
ajmri-633	123	73	.	.	PROPN
ajmri-633	123	74	,	,	PUNCT
ajmri-633	123	75	2017	2017	NUM
ajmri-633	123	76	)	)	PUNCT
ajmri-633	123	77	,	,	PUNCT
ajmri-633	123	78	only	only	ADV
ajmri-633	123	79	0.172	0.172	NUM
ajmri-633	123	80	percent	percent	NOUN
ajmri-633	123	81	of	of	ADP
ajmri-633	123	82	the	the	DET
ajmri-633	123	83	transactions	transaction	NOUN
ajmri-633	123	84	were	be	AUX
ajmri-633	123	85	fraud	fraud	NOUN
ajmri-633	123	86	cases	case	NOUN
ajmri-633	123	87	(	(	PUNCT
ajmri-633	123	88	positive	positive	ADJ
ajmri-633	123	89	class	class	NOUN
ajmri-633	123	90	)	)	PUNCT
ajmri-633	123	91	,	,	PUNCT
ajmri-633	123	92	whereas	whereas	SCONJ
ajmri-633	123	93	the	the	DET
ajmri-633	123	94	remainder	remainder	NOUN
ajmri-633	123	95	were	be	AUX
ajmri-633	123	96	negative	negative	ADJ
ajmri-633	123	97	class	class	NOUN
ajmri-633	123	98	.	.	PUNCT
ajmri-633	124	1	the	the	DET
ajmri-633	124	2	highly	highly	ADV
ajmri-633	124	3	skewed	skewed	ADJ
ajmri-633	124	4	dataset	dataset	NOUN
ajmri-633	124	5	has	have	VERB
ajmri-633	124	6	27	27	NUM
ajmri-633	124	7	characteristics	characteristic	NOUN
ajmri-633	124	8	,	,	PUNCT
ajmri-633	124	9	all	all	PRON
ajmri-633	124	10	of	of	ADP
ajmri-633	124	11	which	which	PRON
ajmri-633	124	12	are	be	AUX
ajmri-633	124	13	numeric	numeric	ADJ
ajmri-633	124	14	values	value	NOUN
ajmri-633	124	15	transformed	transform	VERB
ajmri-633	124	16	using	use	VERB
ajmri-633	124	17	principal	principal	ADJ
ajmri-633	124	18	component	component	NOUN
ajmri-633	124	19	analysis	analysis	NOUN
ajmri-633	124	20	.	.	PUNCT
ajmri-633	125	1	two	two	NUM
ajmri-633	125	2	features	feature	VERB
ajmri-633	125	3	time	time	NOUN
ajmri-633	125	4	and	and	CCONJ
ajmri-633	125	5	amount	amount	NOUN
ajmri-633	125	6	are	be	AUX
ajmri-633	125	7	used	use	VERB
ajmri-633	125	8	as	as	ADP
ajmri-633	125	9	”	"	PUNCT
ajmri-633	125	10	non	non	ADJ
ajmri-633	125	11	-	-	ADJ
ajmri-633	125	12	class	class	ADJ
ajmri-633	125	13	attributes	attribute	NOUN
ajmri-633	125	14	”	"	PUNCT
ajmri-633	125	15	that	that	PRON
ajmri-633	125	16	do	do	AUX
ajmri-633	125	17	n’t	not	PART
ajmri-633	125	18	change	change	VERB
ajmri-633	125	19	in	in	ADP
ajmri-633	125	20	this	this	DET
ajmri-633	125	21	example	example	NOUN
ajmri-633	125	22	,	,	PUNCT
ajmri-633	125	23	another	another	DET
ajmri-633	125	24	one	one	NOUN
ajmri-633	125	25	is	be	AUX
ajmri-633	125	26	the	the	DET
ajmri-633	125	27	target	target	NOUN
ajmri-633	125	28	class	class	NOUN
ajmri-633	125	29	used	use	VERB
ajmri-633	125	30	as	as	ADP
ajmri-633	125	31	a	a	DET
ajmri-633	125	32	class	class	NOUN
ajmri-633	125	33	attribute	attribute	NOUN
ajmri-633	125	34	.	.	PUNCT
ajmri-633	126	1	the	the	DET
ajmri-633	126	2	time	time	NOUN
ajmri-633	126	3	feature	feature	NOUN
ajmri-633	126	4	displays	display	VERB
ajmri-633	126	5	the	the	DET
ajmri-633	126	6	amount	amount	NOUN
ajmri-633	126	7	of	of	ADP
ajmri-633	126	8	time	time	NOUN
ajmri-633	126	9	in	in	ADP
ajmri-633	126	10	seconds	second	NOUN
ajmri-633	126	11	that	that	PRON
ajmri-633	126	12	has	have	AUX
ajmri-633	126	13	passed	pass	VERB
ajmri-633	126	14	from	from	ADP
ajmri-633	126	15	the	the	DET
ajmri-633	126	16	initial	initial	NOUN
ajmri-633	126	17	and	and	CCONJ
ajmri-633	126	18	the	the	DET
ajmri-633	126	19	current	current	ADJ
ajmri-633	126	20	transaction	transaction	NOUN
ajmri-633	126	21	.	.	PUNCT
ajmri-633	127	1	the	the	DET
ajmri-633	127	2	amount	amount	NOUN
ajmri-633	127	3	feature	feature	NOUN
ajmri-633	127	4	shows	show	VERB
ajmri-633	127	5	the	the	DET
ajmri-633	127	6	transaction	transaction	NOUN
ajmri-633	127	7	amount	amount	NOUN
ajmri-633	127	8	.	.	PUNCT
ajmri-633	128	1	the	the	DET
ajmri-633	128	2	label	label	NOUN
ajmri-633	128	3	identifies	identify	VERB
ajmri-633	128	4	the	the	DET
ajmri-633	128	5	feature	feature	NOUN
ajmri-633	128	6	”	"	PUNCT
ajmri-633	128	7	class	class	NOUN
ajmri-633	128	8	”	"	PUNCT
ajmri-633	128	9	which	which	PRON
ajmri-633	128	10	has	have	VERB
ajmri-633	128	11	two	two	NUM
ajmri-633	128	12	values	value	NOUN
ajmri-633	128	13	(	(	PUNCT
ajmri-633	128	14	0	0	NUM
ajmri-633	128	15	,	,	PUNCT
ajmri-633	128	16	1	1	NUM
ajmri-633	128	17	)	)	PUNCT
ajmri-633	128	18	where	where	SCONJ
ajmri-633	128	19	1	1	NUM
ajmri-633	128	20	chooses	choose	VERB
ajmri-633	128	21	fraud	fraud	NOUN
ajmri-633	128	22	and	and	CCONJ
ajmri-633	128	23	0	0	NUM
ajmri-633	128	24	chooses	choose	VERB
ajmri-633	128	25	non	non	ADJ
ajmri-633	128	26	-	-	ADJ
ajmri-633	128	27	fraud	fraud	ADJ
ajmri-633	128	28	cases	case	NOUN
ajmri-633	128	29	.	.	PUNCT
ajmri-633	129	1	dataset	dataset	NOUN
ajmri-633	129	2	division	division	NOUN
ajmri-633	129	3	the	the	DET
ajmri-633	129	4	credit	credit	NOUN
ajmri-633	129	5	card	card	NOUN
ajmri-633	129	6	dataset	dataset	NOUN
ajmri-633	129	7	is	be	AUX
ajmri-633	129	8	divided	divide	VERB
ajmri-633	129	9	into	into	ADP
ajmri-633	129	10	two	two	NUM
ajmri-633	129	11	halves	half	NOUN
ajmri-633	129	12	,	,	PUNCT
ajmri-633	129	13	one	one	NUM
ajmri-633	129	14	for	for	ADP
ajmri-633	129	15	training	training	NOUN
ajmri-633	129	16	and	and	CCONJ
ajmri-633	129	17	the	the	DET
ajmri-633	129	18	other	other	ADJ
ajmri-633	129	19	for	for	ADP
ajmri-633	129	20	testing	testing	NOUN
ajmri-633	129	21	.	.	PUNCT
ajmri-633	130	1	the	the	DET
ajmri-633	130	2	training	training	NOUN
ajmri-633	130	3	and	and	CCONJ
ajmri-633	130	4	testing	testing	NOUN
ajmri-633	130	5	ratio	ratio	NOUN
ajmri-633	130	6	is	be	AUX
ajmri-633	130	7	80:20	80:20	NUM
ajmri-633	130	8	.	.	PUNCT
ajmri-633	131	1	then	then	ADV
ajmri-633	131	2	the	the	DET
ajmri-633	131	3	training	training	NOUN
ajmri-633	131	4	set	set	NOUN
ajmri-633	131	5	is	be	AUX
ajmri-633	131	6	fed	feed	VERB
ajmri-633	131	7	into	into	ADP
ajmri-633	131	8	resampling	resample	VERB
ajmri-633	131	9	techniques	technique	NOUN
ajmri-633	131	10	such	such	ADJ
ajmri-633	131	11	as	as	ADP
ajmri-633	131	12	ros	ros	PROPN
ajmri-633	131	13	,	,	PUNCT
ajmri-633	131	14	rus	rus	PROPN
ajmri-633	131	15	,	,	PUNCT
ajmri-633	131	16	smote	smote	ADJ
ajmri-633	131	17	,	,	PUNCT
ajmri-633	131	18	and	and	CCONJ
ajmri-633	131	19	adasyn	adasyn	NOUN
ajmri-633	131	20	to	to	PART
ajmri-633	131	21	balance	balance	VERB
ajmri-633	131	22	the	the	DET
ajmri-633	131	23	dataset	dataset	NOUN
ajmri-633	131	24	.	.	PUNCT
ajmri-633	132	1	in	in	ADP
ajmri-633	132	2	this	this	DET
ajmri-633	132	3	study	study	NOUN
ajmri-633	132	4	,	,	PUNCT
ajmri-633	132	5	a	a	DET
ajmri-633	132	6	50:50	50:50	NUM
ajmri-633	132	7	ratio	ratio	NOUN
ajmri-633	132	8	is	be	AUX
ajmri-633	132	9	carried	carry	VERB
ajmri-633	132	10	out	out	ADP
ajmri-633	132	11	in	in	ADP
ajmri-633	132	12	all	all	DET
ajmri-633	132	13	the	the	DET
ajmri-633	132	14	sampling	sample	VERB
ajmri-633	132	15	techniques	technique	NOUN
ajmri-633	132	16	.	.	PUNCT
ajmri-633	133	1	it	it	PRON
ajmri-633	133	2	refers	refer	VERB
ajmri-633	133	3	to	to	ADP
ajmri-633	133	4	the	the	DET
ajmri-633	133	5	same	same	ADJ
ajmri-633	133	6	number	number	NOUN
ajmri-633	133	7	of	of	ADP
ajmri-633	133	8	occurrences	occurrence	NOUN
ajmri-633	133	9	of	of	ADP
ajmri-633	133	10	fraud	fraud	NOUN
ajmri-633	133	11	and	and	CCONJ
ajmri-633	133	12	non	non	ADJ
ajmri-633	133	13	-	-	ADJ
ajmri-633	133	14	fraud	fraud	ADJ
ajmri-633	133	15	transactions	transaction	NOUN
ajmri-633	133	16	.	.	PUNCT
ajmri-633	134	1	figure	figure	VERB
ajmri-633	134	2	1	1	NUM
ajmri-633	134	3	:	:	PUNCT
ajmri-633	134	4	division	division	NOUN
ajmri-633	134	5	of	of	ADP
ajmri-633	134	6	credit	credit	NOUN
ajmri-633	134	7	card	card	NOUN
ajmri-633	134	8	fraud	fraud	NOUN
ajmri-633	134	9	dataset	dataset	NOUN
ajmri-633	134	10	preprocessing	preprocessing	NOUN
ajmri-633	134	11	on	on	ADP
ajmri-633	134	12	the	the	DET
ajmri-633	134	13	dataset	dataset	NOUN
ajmri-633	134	14	,	,	PUNCT
ajmri-633	134	15	several	several	ADJ
ajmri-633	134	16	experiments	experiment	NOUN
ajmri-633	134	17	have	have	AUX
ajmri-633	134	18	been	be	AUX
ajmri-633	134	19	conducted	conduct	VERB
ajmri-633	134	20	.	.	PUNCT
ajmri-633	135	1	there	there	PRON
ajmri-633	135	2	are	be	VERB
ajmri-633	135	3	a	a	DET
ajmri-633	135	4	total	total	NOUN
ajmri-633	135	5	of	of	ADP
ajmri-633	135	6	284,807	284,807	NUM
ajmri-633	135	7	extremely	extremely	ADV
ajmri-633	135	8	imbalanced	imbalanced	ADJ
ajmri-633	135	9	credit	credit	NOUN
ajmri-633	135	10	card	card	NOUN
ajmri-633	135	11	transactions	transaction	NOUN
ajmri-633	135	12	in	in	ADP
ajmri-633	135	13	this	this	DET
ajmri-633	135	14	dataset	dataset	NOUN
ajmri-633	135	15	where	where	SCONJ
ajmri-633	135	16	492	492	NUM
ajmri-633	135	17	fraudulent	fraudulent	ADJ
ajmri-633	135	18	transactions	transaction	NOUN
ajmri-633	135	19	.	.	PUNCT
ajmri-633	136	1	it	it	PRON
ajmri-633	136	2	only	only	ADV
ajmri-633	136	3	contains	contain	VERB
ajmri-633	136	4	continuous	continuous	ADJ
ajmri-633	136	5	input	input	NOUN
ajmri-633	136	6	variables	variable	NOUN
ajmri-633	136	7	that	that	PRON
ajmri-633	136	8	are	be	AUX
ajmri-633	136	9	transformed	transform	VERB
ajmri-633	136	10	by	by	ADP
ajmri-633	136	11	pca	pca	PROPN
ajmri-633	136	12	.	.	PUNCT
ajmri-633	137	1	as	as	ADP
ajmri-633	137	2	a	a	DET
ajmri-633	137	3	result	result	NOUN
ajmri-633	137	4	,	,	PUNCT
ajmri-633	137	5	this	this	DET
ajmri-633	137	6	study	study	NOUN
ajmri-633	137	7	employs	employ	VERB
ajmri-633	137	8	a	a	DET
ajmri-633	137	9	total	total	NOUN
ajmri-633	137	10	of	of	ADP
ajmri-633	137	11	30	30	NUM
ajmri-633	137	12	input	input	NOUN
ajmri-633	137	13	features	feature	NOUN
ajmri-633	137	14	.	.	PUNCT
ajmri-633	138	1	time	time	NOUN
ajmri-633	138	2	and	and	CCONJ
ajmri-633	138	3	amount	amount	NOUN
ajmri-633	138	4	features	feature	NOUN
ajmri-633	138	5	have	have	AUX
ajmri-633	138	6	been	be	AUX
ajmri-633	138	7	normalized	normalize	VERB
ajmri-633	138	8	using	use	VERB
ajmri-633	138	9	a	a	DET
ajmri-633	138	10	standard	standard	ADJ
ajmri-633	138	11	scaler	scaler	NOUN
ajmri-633	138	12	.	.	PUNCT
ajmri-633	139	1	this	this	DET
ajmri-633	139	2	dataset	dataset	NOUN
ajmri-633	139	3	is	be	AUX
ajmri-633	139	4	highly	highly	ADV
ajmri-633	139	5	skewed	skewed	ADJ
ajmri-633	139	6	.	.	PUNCT
ajmri-633	140	1	to	to	PART
ajmri-633	140	2	remove	remove	VERB
ajmri-633	140	3	the	the	DET
ajmri-633	140	4	skewness	skewness	NOUN
ajmri-633	140	5	,	,	PUNCT
ajmri-633	140	6	power	power	NOUN
ajmri-633	140	7	transformation	transformation	NOUN
ajmri-633	140	8	has	have	AUX
ajmri-633	140	9	been	be	AUX
ajmri-633	140	10	used	use	VERB
ajmri-633	140	11	.	.	PUNCT
ajmri-633	141	1	removing	remove	VERB
ajmri-633	141	2	the	the	DET
ajmri-633	141	3	highly	highly	ADV
ajmri-633	141	4	class	class	NOUN
ajmri-633	141	5	imbalance	imbalance	NOUN
ajmri-633	141	6	problem	problem	NOUN
ajmri-633	141	7	in	in	ADP
ajmri-633	141	8	the	the	DET
ajmri-633	141	9	credit	credit	NOUN
ajmri-633	141	10	card	card	NOUN
ajmri-633	141	11	dataset	dataset	NOUN
ajmri-633	141	12	,	,	PUNCT
ajmri-633	141	13	different	different	ADJ
ajmri-633	141	14	types	type	NOUN
ajmri-633	141	15	of	of	ADP
ajmri-633	141	16	sampling	sample	VERB
ajmri-633	141	17	techniques	technique	NOUN
ajmri-633	141	18	such	such	ADJ
ajmri-633	141	19	as	as	ADP
ajmri-633	141	20	undersampling	undersample	VERB
ajmri-633	141	21	,	,	PUNCT
ajmri-633	141	22	over	over	ADP
ajmri-633	141	23	-	-	PUNCT
ajmri-633	141	24	sampling	sampling	NOUN
ajmri-633	141	25	,	,	PUNCT
ajmri-633	141	26	smote	smote	ADJ
ajmri-633	141	27	,	,	PUNCT
ajmri-633	141	28	adasyn	adasyn	NOUN
ajmri-633	141	29	have	have	AUX
ajmri-633	141	30	been	be	AUX
ajmri-633	141	31	used	use	VERB
ajmri-633	141	32	to	to	PART
ajmri-633	141	33	balance	balance	VERB
ajmri-633	141	34	the	the	DET
ajmri-633	141	35	data	datum	NOUN
ajmri-633	141	36	.	.	PUNCT
ajmri-633	142	1	naive	naive	ADJ
ajmri-633	142	2	bayes	bayes	NOUN
ajmri-633	142	3	,	,	PUNCT
ajmri-633	142	4	k	k	NOUN
ajmri-633	142	5	-	-	PUNCT
ajmri-633	142	6	nearest	near	ADJ
ajmri-633	142	7	neighbor	neighbor	NOUN
ajmri-633	142	8	,	,	PUNCT
ajmri-633	142	9	decision	decision	NOUN
ajmri-633	142	10	tree	tree	NOUN
ajmri-633	142	11	,	,	PUNCT
ajmri-633	142	12	random	random	ADJ
ajmri-633	142	13	forest	forest	NOUN
ajmri-633	142	14	,	,	PUNCT
ajmri-633	142	15	and	and	CCONJ
ajmri-633	142	16	logistic	logistic	ADJ
ajmri-633	142	17	regression	regression	NOUN
ajmri-633	142	18	classifier	classifier	NOUN
ajmri-633	142	19	techniques	technique	NOUN
ajmri-633	142	20	are	be	AUX
ajmri-633	142	21	employed	employ	VERB
ajmri-633	142	22	in	in	ADP
ajmri-633	142	23	the	the	DET
ajmri-633	142	24	research	research	NOUN
ajmri-633	142	25	.	.	PUNCT
ajmri-633	143	1	the	the	DET
ajmri-633	143	2	paper	paper	NOUN
ajmri-633	143	3	has	have	AUX
ajmri-633	143	4	been	be	AUX
ajmri-633	143	5	used	use	VERB
ajmri-633	143	6	hyperparameter	hyperparameter	NOUN
ajmri-633	143	7	tuning	tune	VERB
ajmri-633	143	8	to	to	PART
ajmri-633	143	9	find	find	VERB
ajmri-633	143	10	the	the	DET
ajmri-633	143	11	best	good	ADJ
ajmri-633	143	12	classifier	classifier	NOUN
ajmri-633	143	13	parameter	parameter	NOUN
ajmri-633	143	14	.	.	PUNCT
ajmri-633	144	1	then	then	ADV
ajmri-633	144	2	the	the	DET
ajmri-633	144	3	classifier	classifier	NOUN
ajmri-633	144	4	model	model	NOUN
ajmri-633	144	5	has	have	AUX
ajmri-633	144	6	been	be	AUX
ajmri-633	144	7	trained	train	VERB
ajmri-633	144	8	on	on	ADP
ajmri-633	144	9	preprocessed	preprocesse	VERB
ajmri-633	144	10	training	training	NOUN
ajmri-633	144	11	data	datum	NOUN
ajmri-633	144	12	and	and	CCONJ
ajmri-633	144	13	evaluated	evaluate	VERB
ajmri-633	144	14	the	the	DET
ajmri-633	144	15	performance	performance	NOUN
ajmri-633	144	16	of	of	ADP
ajmri-633	144	17	each	each	DET
ajmri-633	144	18	classifier	classifier	NOUN
ajmri-633	144	19	using	use	VERB
ajmri-633	144	20	real	real	ADJ
ajmri-633	144	21	test	test	NOUN
ajmri-633	144	22	data	datum	NOUN
ajmri-633	144	23	.	.	PUNCT
ajmri-633	145	1	sampling	sample	VERB
ajmri-633	145	2	techniques	technique	NOUN
ajmri-633	145	3	random	random	ADJ
ajmri-633	145	4	under	under	NOUN
ajmri-633	145	5	-	-	PUNCT
ajmri-633	145	6	sampling	sampling	NOUN
ajmri-633	145	7	:	:	PUNCT
ajmri-633	145	8	the	the	DET
ajmri-633	145	9	under	under	ADV
ajmri-633	145	10	-	-	PUNCT
ajmri-633	145	11	sampling	sample	VERB
ajmri-633	145	12	technique	technique	NOUN
ajmri-633	145	13	balances	balance	VERB
ajmri-633	145	14	the	the	DET
ajmri-633	145	15	dataset	dataset	NOUN
ajmri-633	145	16	by	by	ADP
ajmri-633	145	17	removing	remove	VERB
ajmri-633	145	18	random	random	ADJ
ajmri-633	145	19	instances	instance	NOUN
ajmri-633	145	20	from	from	ADP
ajmri-633	145	21	the	the	DET
ajmri-633	145	22	majority	majority	NOUN
ajmri-633	145	23	class	class	NOUN
ajmri-633	145	24	before	before	ADP
ajmri-633	145	25	performing	perform	VERB
ajmri-633	145	26	the	the	DET
ajmri-633	145	27	classification	classification	NOUN
ajmri-633	145	28	technique	technique	NOUN
ajmri-633	145	29	.	.	PUNCT
ajmri-633	146	1	the	the	DET
ajmri-633	146	2	under	under	ADV
ajmri-633	146	3	-	-	PUNCT
ajmri-633	146	4	sampling	sampling	NOUN
ajmri-633	146	5	has	have	VERB
ajmri-633	146	6	a	a	DET
ajmri-633	146	7	simple	simple	ADJ
ajmri-633	146	8	premise	premise	NOUN
ajmri-633	146	9	and	and	CCONJ
ajmri-633	146	10	is	be	AUX
ajmri-633	146	11	much	much	ADV
ajmri-633	146	12	faster	fast	ADJ
ajmri-633	146	13	than	than	SCONJ
ajmri-633	146	14	smote	smote	ADJ
ajmri-633	146	15	.	.	PUNCT
ajmri-633	147	1	the	the	DET
ajmri-633	147	2	drawback	drawback	NOUN
ajmri-633	147	3	of	of	ADP
ajmri-633	147	4	this	this	DET
ajmri-633	147	5	technique	technique	NOUN
ajmri-633	147	6	is	be	AUX
ajmri-633	147	7	that	that	SCONJ
ajmri-633	147	8	it	it	PRON
ajmri-633	147	9	can	can	AUX
ajmri-633	147	10	eliminate	eliminate	VERB
ajmri-633	147	11	vital	vital	ADJ
ajmri-633	147	12	information	information	NOUN
ajmri-633	147	13	from	from	ADP
ajmri-633	147	14	the	the	DET
ajmri-633	147	15	majority	majority	NOUN
ajmri-633	147	16	class	class	NOUN
ajmri-633	147	17	,	,	PUNCT
ajmri-633	147	18	which	which	PRON
ajmri-633	147	19	in	in	ADP
ajmri-633	147	20	some	some	DET
ajmri-633	147	21	situations	situation	NOUN
ajmri-633	147	22	may	may	AUX
ajmri-633	147	23	not	not	PART
ajmri-633	147	24	be	be	AUX
ajmri-633	147	25	acceptable	acceptable	ADJ
ajmri-633	147	26	.	.	PUNCT
ajmri-633	148	1	before	before	ADP
ajmri-633	148	2	using	use	VERB
ajmri-633	148	3	under	under	NOUN
ajmri-633	148	4	-	-	PUNCT
ajmri-633	148	5	sampling	sampling	NOUN
ajmri-633	148	6	in	in	ADP
ajmri-633	148	7	the	the	DET
ajmri-633	148	8	https://journals.e-palli.com/home/index.php/ajmri	https://journals.e-palli.com/home/index.php/ajmri	PROPN
ajmri-633	148	9	pa	pa	PROPN
ajmri-633	148	10	ge	ge	PROPN
ajmri-633	149	1	16	16	NUM
ajmri-633	149	2	3	3	NUM
ajmri-633	149	3	https://journals.e-palli.com/home/index.php/ajmri	https://journals.e-palli.com/home/index.php/ajmri	PROPN
ajmri-633	149	4	am	am	NOUN
ajmri-633	149	5	.	.	PUNCT
ajmri-633	150	1	j.	j.	PROPN
ajmri-633	150	2	multidis	multidis	PROPN
ajmri-633	150	3	.	.	PUNCT
ajmri-633	151	1	res	re	NOUN
ajmri-633	151	2	.	.	PUNCT
ajmri-633	152	1	innov	innov	PROPN
ajmri-633	152	2	.	.	PUNCT
ajmri-633	153	1	1(4	1(4	NUM
ajmri-633	153	2	)	)	PUNCT
ajmri-633	153	3	150	150	NUM
ajmri-633	153	4	-	-	SYM
ajmri-633	153	5	159	159	NUM
ajmri-633	153	6	,	,	PUNCT
ajmri-633	153	7	2022	2022	NUM
ajmri-633	153	8	figure	figure	NOUN
ajmri-633	153	9	2	2	NUM
ajmri-633	153	10	:	:	PUNCT
ajmri-633	153	11	distribution	distribution	NOUN
ajmri-633	153	12	of	of	ADP
ajmri-633	153	13	target	target	NOUN
ajmri-633	153	14	variables	variable	NOUN
ajmri-633	153	15	after	after	ADP
ajmri-633	153	16	undersampling	undersample	VERB
ajmri-633	153	17	training	training	NOUN
ajmri-633	153	18	dataset	dataset	NOUN
ajmri-633	153	19	have	have	VERB
ajmri-633	153	20	227,451	227,451	NUM
ajmri-633	153	21	non	non	ADJ
ajmri-633	153	22	-	-	ADJ
ajmri-633	153	23	fraudulent	fraudulent	ADJ
ajmri-633	153	24	and	and	CCONJ
ajmri-633	153	25	394	394	NUM
ajmri-633	153	26	fraud	fraud	NOUN
ajmri-633	153	27	transactions	transaction	NOUN
ajmri-633	153	28	.	.	PUNCT
ajmri-633	154	1	after	after	ADP
ajmri-633	154	2	applying	apply	VERB
ajmri-633	154	3	rus	rus	NOUN
ajmri-633	154	4	techniques	technique	NOUN
ajmri-633	154	5	,	,	PUNCT
ajmri-633	154	6	the	the	DET
ajmri-633	154	7	majority	majority	NOUN
ajmri-633	154	8	class	class	NOUN
ajmri-633	154	9	converted	convert	VERB
ajmri-633	154	10	into	into	ADP
ajmri-633	154	11	394	394	NUM
ajmri-633	154	12	equally	equally	ADV
ajmri-633	154	13	shown	show	VERB
ajmri-633	154	14	in	in	ADP
ajmri-633	154	15	fig	fig	NOUN
ajmri-633	154	16	2	2	NUM
ajmri-633	154	17	.	.	PUNCT
ajmri-633	154	18	random	random	ADJ
ajmri-633	154	19	over	over	ADP
ajmri-633	154	20	-	-	PUNCT
ajmri-633	154	21	sampling	sampling	NOUN
ajmri-633	154	22	:	:	PUNCT
ajmri-633	154	23	random	random	ADJ
ajmri-633	154	24	over	over	ADV
ajmri-633	154	25	-	-	PUNCT
ajmri-633	154	26	sampling	sample	VERB
ajmri-633	154	27	tech	tech	NOUN
ajmri-633	154	28	nique	nique	NOUN
ajmri-633	154	29	duplicates	duplicate	VERB
ajmri-633	154	30	the	the	DET
ajmri-633	154	31	random	random	ADJ
ajmri-633	154	32	instances	instance	NOUN
ajmri-633	154	33	of	of	ADP
ajmri-633	154	34	the	the	DET
ajmri-633	154	35	minority	minority	NOUN
ajmri-633	154	36	class	class	NOUN
ajmri-633	154	37	,	,	PUNCT
ajmri-633	154	38	using	use	VERB
ajmri-633	154	39	this	this	DET
ajmri-633	154	40	technique	technique	NOUN
ajmri-633	154	41	which	which	DET
ajmri-633	154	42	result	result	NOUN
ajmri-633	154	43	get	get	AUX
ajmri-633	154	44	be	be	AUX
ajmri-633	154	45	a	a	DET
ajmri-633	154	46	reason	reason	NOUN
ajmri-633	154	47	over	over	ADP
ajmri-633	154	48	-	-	PUNCT
ajmri-633	154	49	fitting	fit	VERB
ajmri-633	154	50	dataset	dataset	NOUN
ajmri-633	154	51	.	.	PUNCT
ajmri-633	155	1	it	it	PRON
ajmri-633	155	2	is	be	AUX
ajmri-633	155	3	the	the	DET
ajmri-633	155	4	process	process	NOUN
ajmri-633	155	5	of	of	ADP
ajmri-633	155	6	randomly	randomly	ADV
ajmri-633	155	7	picking	pick	VERB
ajmri-633	155	8	and	and	CCONJ
ajmri-633	155	9	replacing	replace	VERB
ajmri-633	155	10	instances	instance	NOUN
ajmri-633	155	11	from	from	ADP
ajmri-633	155	12	the	the	DET
ajmri-633	155	13	minority	minority	NOUN
ajmri-633	155	14	class	class	NOUN
ajmri-633	155	15	then	then	ADV
ajmri-633	155	16	added	add	VERB
ajmri-633	155	17	to	to	ADP
ajmri-633	155	18	the	the	DET
ajmri-633	155	19	training	training	NOUN
ajmri-633	155	20	dataset	dataset	NOUN
ajmri-633	155	21	.	.	PUNCT
ajmri-633	156	1	replacement	replacement	NOUN
ajmri-633	156	2	uses	use	VERB
ajmri-633	156	3	to	to	PART
ajmri-633	156	4	select	select	VERB
ajmri-633	156	5	examples	example	NOUN
ajmri-633	156	6	from	from	ADP
ajmri-633	156	7	the	the	DET
ajmri-633	156	8	training	training	NOUN
ajmri-633	156	9	dataset	dataset	NOUN
ajmri-633	156	10	at	at	ADP
ajmri-633	156	11	random	random	ADJ
ajmri-633	156	12	.	.	PUNCT
ajmri-633	157	1	it	it	PRON
ajmri-633	157	2	means	mean	VERB
ajmri-633	157	3	that	that	SCONJ
ajmri-633	157	4	minority	minority	NOUN
ajmri-633	157	5	class	class	NOUN
ajmri-633	157	6	examples	example	NOUN
ajmri-633	157	7	would	would	AUX
ajmri-633	157	8	be	be	AUX
ajmri-633	157	9	selected	select	VERB
ajmri-633	157	10	firstly	firstly	ADV
ajmri-633	157	11	,	,	PUNCT
ajmri-633	157	12	then	then	ADV
ajmri-633	157	13	adding	add	VERB
ajmri-633	157	14	new	new	ADJ
ajmri-633	157	15	highly	highly	ADV
ajmri-633	157	16	balanced	balanced	ADJ
ajmri-633	157	17	trained	train	VERB
ajmri-633	157	18	dataset	dataset	NOUN
ajmri-633	157	19	more	more	ADJ
ajmri-633	157	20	times	time	NOUN
ajmri-633	157	21	.	.	PUNCT
ajmri-633	158	1	after	after	ADP
ajmri-633	158	2	using	use	VERB
ajmri-633	158	3	the	the	DET
ajmri-633	158	4	ros	ros	PROPN
ajmri-633	158	5	technique	technique	NOUN
ajmri-633	158	6	in	in	ADP
ajmri-633	158	7	the	the	DET
ajmri-633	158	8	training	training	NOUN
ajmri-633	158	9	dataset	dataset	NOUN
ajmri-633	158	10	,	,	PUNCT
ajmri-633	158	11	the	the	DET
ajmri-633	158	12	minority	minority	NOUN
ajmri-633	158	13	fraud	fraud	NOUN
ajmri-633	158	14	class	class	NOUN
ajmri-633	158	15	converted	convert	VERB
ajmri-633	158	16	into	into	ADP
ajmri-633	158	17	227,451	227,451	NUM
ajmri-633	158	18	equally	equally	ADV
ajmri-633	158	19	to	to	ADP
ajmri-633	158	20	non	non	ADJ
ajmri-633	158	21	-	-	ADJ
ajmri-633	158	22	fraud	fraud	ADJ
ajmri-633	158	23	transactions	transaction	NOUN
ajmri-633	158	24	shown	show	VERB
ajmri-633	158	25	in	in	ADP
ajmri-633	158	26	fig.3	fig.3	PROPN
ajmri-633	158	27	.	.	PUNCT
ajmri-633	159	1	3	3	X
ajmri-633	159	2	)	)	PUNCT
ajmri-633	159	3	synthetic	synthetic	ADJ
ajmri-633	159	4	figure	figure	NOUN
ajmri-633	159	5	3	3	NUM
ajmri-633	159	6	:	:	PUNCT
ajmri-633	159	7	distribution	distribution	NOUN
ajmri-633	159	8	of	of	ADP
ajmri-633	159	9	target	target	NOUN
ajmri-633	159	10	variables	variable	NOUN
ajmri-633	159	11	after	after	ADP
ajmri-633	159	12	oversampling	oversample	VERB
ajmri-633	159	13	minority	minority	NOUN
ajmri-633	159	14	oversampling	oversample	VERB
ajmri-633	159	15	technique	technique	NOUN
ajmri-633	159	16	(	(	PUNCT
ajmri-633	159	17	smote	smote	ADJ
ajmri-633	159	18	):	):	PUNCT
ajmri-633	159	19	smote	smote	NOUN
ajmri-633	159	20	is	be	AUX
ajmri-633	159	21	an	an	DET
ajmri-633	159	22	over	over	ADV
ajmri-633	159	23	-	-	PUNCT
ajmri-633	159	24	sampling	sample	VERB
ajmri-633	159	25	technique	technique	NOUN
ajmri-633	159	26	that	that	PRON
ajmri-633	159	27	generates	generate	VERB
ajmri-633	159	28	random	random	ADJ
ajmri-633	159	29	instances	instance	NOUN
ajmri-633	159	30	selected	select	VERB
ajmri-633	159	31	from	from	ADP
ajmri-633	159	32	the	the	DET
ajmri-633	159	33	minority	minority	NOUN
ajmri-633	159	34	class	class	NOUN
ajmri-633	159	35	.	.	PUNCT
ajmri-633	160	1	to	to	PART
ajmri-633	160	2	generate	generate	VERB
ajmri-633	160	3	instances	instance	NOUN
ajmri-633	160	4	the	the	DET
ajmri-633	160	5	interpolation	interpolation	NOUN
ajmri-633	160	6	method	method	NOUN
ajmri-633	160	7	is	be	AUX
ajmri-633	160	8	used	use	VERB
ajmri-633	160	9	between	between	ADP
ajmri-633	160	10	the	the	DET
ajmri-633	160	11	selected	select	VERB
ajmri-633	160	12	point	point	NOUN
ajmri-633	160	13	and	and	CCONJ
ajmri-633	160	14	its	its	PRON
ajmri-633	160	15	closest	close	ADJ
ajmri-633	160	16	instances	instance	NOUN
ajmri-633	160	17	.	.	PUNCT
ajmri-633	161	1	considered	consider	VERB
ajmri-633	161	2	every	every	DET
ajmri-633	161	3	minority	minority	NOUN
ajmri-633	161	4	class	class	NOUN
ajmri-633	161	5	and	and	CCONJ
ajmri-633	161	6	generated	generate	VERB
ajmri-633	161	7	new	new	ADJ
ajmri-633	161	8	minority	minority	NOUN
ajmri-633	161	9	class	class	NOUN
ajmri-633	161	10	along	along	ADP
ajmri-633	161	11	line	line	NOUN
ajmri-633	161	12	segment	segment	NOUN
ajmri-633	161	13	is	be	AUX
ajmri-633	161	14	joined	join	VERB
ajmri-633	161	15	with	with	ADP
ajmri-633	161	16	k	k	ADJ
ajmri-633	161	17	-	-	PUNCT
ajmri-633	161	18	nearest	near	ADJ
ajmri-633	161	19	neighbors	neighbor	NOUN
ajmri-633	161	20	.	.	PUNCT
ajmri-633	162	1	based	base	VERB
ajmri-633	162	2	on	on	ADP
ajmri-633	162	3	the	the	DET
ajmri-633	162	4	required	require	VERB
ajmri-633	162	5	over	over	ADP
ajmri-633	162	6	-	-	PUNCT
ajmri-633	162	7	sampling	sample	VERB
ajmri-633	162	8	percentage	percentage	NOUN
ajmri-633	162	9	,	,	PUNCT
ajmri-633	162	10	synthetic	synthetic	ADJ
ajmri-633	162	11	instances	instance	NOUN
ajmri-633	162	12	are	be	AUX
ajmri-633	162	13	generated	generate	VERB
ajmri-633	162	14	.	.	PUNCT
ajmri-633	163	1	after	after	ADP
ajmri-633	163	2	applying	apply	VERB
ajmri-633	163	3	the	the	DET
ajmri-633	163	4	smote	smote	ADJ
ajmri-633	163	5	technique	technique	NOUN
ajmri-633	163	6	,	,	PUNCT
ajmri-633	163	7	the	the	DET
ajmri-633	163	8	distribution	distribution	NOUN
ajmri-633	163	9	of	of	ADP
ajmri-633	163	10	the	the	DET
ajmri-633	163	11	target	target	NOUN
ajmri-633	163	12	variable	variable	NOUN
ajmri-633	163	13	changed	change	VERB
ajmri-633	163	14	equally	equally	ADV
ajmri-633	163	15	shown	show	VERB
ajmri-633	163	16	in	in	ADP
ajmri-633	163	17	fig.4	fig.4	ADJ
ajmri-633	163	18	4	4	NUM
ajmri-633	163	19	)	)	PUNCT
ajmri-633	163	20	figure	figure	NOUN
ajmri-633	163	21	4	4	NUM
ajmri-633	163	22	:	:	PUNCT
ajmri-633	163	23	distribution	distribution	NOUN
ajmri-633	163	24	of	of	ADP
ajmri-633	163	25	target	target	NOUN
ajmri-633	163	26	variables	variable	NOUN
ajmri-633	163	27	after	after	ADP
ajmri-633	163	28	smote	smote	ADJ
ajmri-633	163	29	adasyn(adaptive	adasyn(adaptive	PROPN
ajmri-633	163	30	synthetic	synthetic	NOUN
ajmri-633	163	31	):	):	PUNCT
ajmri-633	163	32	adaptive	adaptive	ADJ
ajmri-633	163	33	synthetic	synthetic	ADJ
ajmri-633	163	34	algorithm	algorithm	NOUN
ajmri-633	163	35	generates	generate	VERB
ajmri-633	163	36	the	the	DET
ajmri-633	163	37	synthetic	synthetic	ADJ
ajmri-633	163	38	data	datum	NOUN
ajmri-633	163	39	.	.	PUNCT
ajmri-633	164	1	it	it	PRON
ajmri-633	164	2	creates	create	VERB
ajmri-633	164	3	minority	minority	NOUN
ajmri-633	164	4	data	datum	NOUN
ajmri-633	164	5	samples	sample	NOUN
ajmri-633	164	6	based	base	VERB
ajmri-633	164	7	on	on	ADP
ajmri-633	164	8	their	their	PRON
ajmri-633	164	9	distributions	distribution	NOUN
ajmri-633	164	10	and	and	CCONJ
ajmri-633	164	11	generates	generate	VERB
ajmri-633	164	12	more	more	ADJ
ajmri-633	164	13	data	datum	NOUN
ajmri-633	164	14	for	for	ADP
ajmri-633	164	15	balancing	balance	VERB
ajmri-633	164	16	the	the	DET
ajmri-633	164	17	dataset	dataset	NOUN
ajmri-633	164	18	.	.	PUNCT
ajmri-633	165	1	figure	figure	VERB
ajmri-633	165	2	5	5	NUM
ajmri-633	165	3	:	:	PUNCT
ajmri-633	165	4	distribution	distribution	NOUN
ajmri-633	165	5	of	of	ADP
ajmri-633	165	6	target	target	NOUN
ajmri-633	165	7	variables	variable	NOUN
ajmri-633	165	8	after	after	ADP
ajmri-633	165	9	adasyn	adasyn	NOUN
ajmri-633	165	10	machine	machine	NOUN
ajmri-633	165	11	learning	learn	VERB
ajmri-633	165	12	algorithms	algorithms	NOUN
ajmri-633	165	13	1	1	NUM
ajmri-633	165	14	)	)	PUNCT
ajmri-633	166	1	na¨ıve	na¨ıve	PROPN
ajmri-633	166	2	bayes	bayes	PROPN
ajmri-633	166	3	classifier	classifier	NOUN
ajmri-633	166	4	:	:	PUNCT
ajmri-633	166	5	na¨ıve	na¨ıve	PROPN
ajmri-633	166	6	bayes	bayes	PROPN
ajmri-633	166	7	classifier	classifier	NOUN
ajmri-633	166	8	is	be	AUX
ajmri-633	166	9	a	a	DET
ajmri-633	166	10	simpler	simple	ADJ
ajmri-633	166	11	bayesian	bayesian	NOUN
ajmri-633	166	12	classifier	classifier	NOUN
ajmri-633	166	13	that	that	PRON
ajmri-633	166	14	is	be	AUX
ajmri-633	166	15	built	build	VERB
ajmri-633	166	16	on	on	ADP
ajmri-633	166	17	the	the	DET
ajmri-633	166	18	bayes	bayes	PROPN
ajmri-633	166	19	theorem	theorem	ADJ
ajmri-633	166	20	approach	approach	NOUN
ajmri-633	166	21	.	.	PUNCT
ajmri-633	167	1	it	it	PRON
ajmri-633	167	2	works	work	VERB
ajmri-633	167	3	on	on	ADP
ajmri-633	167	4	basis	basis	NOUN
ajmri-633	167	5	of	of	ADP
ajmri-633	167	6	the	the	DET
ajmri-633	167	7	conditional	conditional	ADJ
ajmri-633	167	8	independence	independence	NOUN
ajmri-633	167	9	.	.	PUNCT
ajmri-633	168	1	it	it	PRON
ajmri-633	168	2	has	have	VERB
ajmri-633	168	3	two	two	NUM
ajmri-633	168	4	attributes	attribute	NOUN
ajmri-633	168	5	”	"	PUNCT
ajmri-633	168	6	non	non	ADJ
ajmri-633	168	7	-	-	ADJ
ajmri-633	168	8	class	class	NOUN
ajmri-633	168	9	”	"	PUNCT
ajmri-633	168	10	,	,	PUNCT
ajmri-633	168	11	and	and	CCONJ
ajmri-633	168	12	”	"	PUNCT
ajmri-633	168	13	class	class	NOUN
ajmri-633	168	14	”	"	PUNCT
ajmri-633	168	15	independent	independent	NOUN
ajmri-633	168	16	of	of	ADP
ajmri-633	168	17	each	each	DET
ajmri-633	168	18	other	other	ADJ
ajmri-633	168	19	.	.	PUNCT
ajmri-633	169	1	here	here	ADV
ajmri-633	169	2	p(cj	p(cj	PROPN
ajmri-633	169	3	|	|	CCONJ
ajmri-633	169	4	fl	fl	NOUN
ajmri-633	169	5	)	)	PUNCT
ajmri-633	169	6	is	be	AUX
ajmri-633	169	7	called	call	VERB
ajmri-633	169	8	the	the	DET
ajmri-633	169	9	posterior	posterior	ADJ
ajmri-633	169	10	probability	probability	NOUN
ajmri-633	169	11	when	when	SCONJ
ajmri-633	169	12	non	non	ADJ
ajmri-633	169	13	-	-	ADJ
ajmri-633	169	14	class	class	ADJ
ajmri-633	169	15	values	value	NOUN
ajmri-633	169	16	are	be	AUX
ajmri-633	169	17	known	know	VERB
ajmri-633	169	18	.	.	PUNCT
ajmri-633	170	1	it	it	PRON
ajmri-633	170	2	will	will	AUX
ajmri-633	170	3	determine	determine	VERB
ajmri-633	170	4	the	the	DET
ajmri-633	170	5	probability	probability	NOUN
ajmri-633	170	6	belongs	belong	VERB
ajmri-633	170	7	to	to	ADP
ajmri-633	170	8	cj	cj	PROPN
ajmri-633	170	9	∈	∈	PROPN
ajmri-633	170	10	c.	c.	PROPN
ajmri-633	170	11	p(cj	p(cj	PROPN
ajmri-633	170	12	)	)	PUNCT
ajmri-633	170	13	called	call	VERB
ajmri-633	170	14	the	the	DET
ajmri-633	170	15	prior	prior	ADJ
ajmri-633	170	16	probability	probability	NOUN
ajmri-633	170	17	when	when	SCONJ
ajmri-633	170	18	fl	fl	PROPN
ajmri-633	170	19	belongs	belong	VERB
ajmri-633	170	20	to	to	ADP
ajmri-633	170	21	cj	cj	PROPN
ajmri-633	170	22	∈	∈	PROPN
ajmri-633	171	1	c	c	NOUN
ajmri-633	171	2	having	have	VERB
ajmri-633	171	3	no	no	DET
ajmri-633	171	4	prior	prior	ADJ
ajmri-633	171	5	knowledge	knowledge	NOUN
ajmri-633	171	6	about	about	ADP
ajmri-633	171	7	cj	cj	PROPN
ajmri-633	171	8	.	.	PUNCT
ajmri-633	172	1	the	the	DET
ajmri-633	172	2	bayesian	bayesian	NOUN
ajmri-633	172	3	classifier	classifier	NOUN
ajmri-633	172	4	’s	’s	PART
ajmri-633	172	5	non	non	ADJ
ajmri-633	172	6	-	-	ADJ
ajmri-633	172	7	class	class	ADJ
ajmri-633	172	8	attribute	attribute	NOUN
ajmri-633	172	9	is	be	AUX
ajmri-633	172	10	uncommitted	uncommitted	ADJ
ajmri-633	172	11	to	to	ADP
ajmri-633	172	12	the	the	DET
ajmri-633	172	13	other	other	ADJ
ajmri-633	172	14	non	non	ADJ
ajmri-633	172	15	-	-	ADJ
ajmri-633	172	16	class	class	ADJ
ajmri-633	172	17	attributes	attribute	NOUN
ajmri-633	172	18	and	and	CCONJ
ajmri-633	172	19	considers	consider	VERB
ajmri-633	172	20	only	only	ADV
ajmri-633	172	21	one	one	NUM
ajmri-633	172	22	cj	cj	NOUN
ajmri-633	172	23	non	non	ADJ
ajmri-633	172	24	-	-	ADJ
ajmri-633	172	25	class	class	ADJ
ajmri-633	172	26	value	value	NOUN
ajmri-633	172	27	whenp(cj	whenp(cj	NOUN
ajmri-633	172	28	|	|	NOUN
ajmri-633	172	29	fl	fl	NOUN
ajmri-633	172	30	)	)	PUNCT
ajmri-633	172	31	is	be	AUX
ajmri-633	172	32	calculated.the	calculated.the	DET
ajmri-633	172	33	equations	equation	NOUN
ajmri-633	172	34	(	(	PUNCT
ajmri-633	172	35	1	1	NUM
ajmri-633	172	36	)	)	PUNCT
ajmri-633	172	37	and	and	CCONJ
ajmri-633	172	38	(	(	PUNCT
ajmri-633	172	39	2	2	X
ajmri-633	172	40	)	)	PUNCT
ajmri-633	172	41	of	of	ADP
ajmri-633	172	42	the	the	DET
ajmri-633	172	43	binary	binary	ADJ
ajmri-633	172	44	classes	class	NOUN
ajmri-633	172	45	(	(	PUNCT
ajmri-633	172	46	fraud	fraud	NOUN
ajmri-633	172	47	and	and	CCONJ
ajmri-633	172	48	non	non	ADJ
ajmri-633	172	49	fraud	fraud	NOUN
ajmri-633	172	50	)	)	PUNCT
ajmri-633	172	51	taken	take	VERB
ajmri-633	172	52	from	from	ADP
ajmri-633	172	53	paper	paper	NOUN
ajmri-633	172	54	https://journals.e-palli.com/home/index.php/ajmri	https://journals.e-palli.com/home/index.php/ajmri	PROPN
ajmri-633	172	55	pa	pa	PROPN
ajmri-633	172	56	ge	ge	PROPN
ajmri-633	173	1	16	16	NUM
ajmri-633	173	2	4	4	NUM
ajmri-633	173	3	https://journals.e-palli.com/home/index.php/ajmri	https://journals.e-palli.com/home/index.php/ajmri	PROPN
ajmri-633	173	4	am	am	NOUN
ajmri-633	173	5	.	.	PUNCT
ajmri-633	174	1	j.	j.	PROPN
ajmri-633	174	2	multidis	multidis	PROPN
ajmri-633	174	3	.	.	PUNCT
ajmri-633	175	1	res	re	NOUN
ajmri-633	175	2	.	.	PUNCT
ajmri-633	176	1	innov	innov	PROPN
ajmri-633	176	2	.	.	PUNCT
ajmri-633	177	1	1(4	1(4	NUM
ajmri-633	177	2	)	)	PUNCT
ajmri-633	177	3	150	150	NUM
ajmri-633	177	4	-	-	SYM
ajmri-633	177	5	159	159	NUM
ajmri-633	177	6	,	,	PUNCT
ajmri-633	177	7	2022	2022	NUM
ajmri-633	177	8	logistic	logistic	ADJ
ajmri-633	177	9	regression	regression	NOUN
ajmri-633	177	10	logistic	logistic	ADJ
ajmri-633	177	11	regression	regression	NOUN
ajmri-633	177	12	is	be	AUX
ajmri-633	177	13	a	a	DET
ajmri-633	177	14	method	method	NOUN
ajmri-633	177	15	for	for	ADP
ajmri-633	177	16	developing	develop	VERB
ajmri-633	177	17	machine	machine	NOUN
ajmri-633	177	18	learning	learning	NOUN
ajmri-633	177	19	models	model	NOUN
ajmri-633	177	20	with	with	ADP
ajmri-633	177	21	a	a	DET
ajmri-633	177	22	dichotomous	dichotomous	ADJ
ajmri-633	177	23	(	(	PUNCT
ajmri-633	177	24	binary	binary	ADJ
ajmri-633	177	25	)	)	PUNCT
ajmri-633	177	26	dependent	dependent	ADJ
ajmri-633	177	27	variable	variable	NOUN
ajmri-633	177	28	.	.	PUNCT
ajmri-633	178	1	dependent	dependent	ADJ
ajmri-633	178	2	and	and	CCONJ
ajmri-633	178	3	independent	independent	ADJ
ajmri-633	178	4	variables	variable	NOUN
ajmri-633	178	5	describe	describe	VERB
ajmri-633	178	6	by	by	ADP
ajmri-633	178	7	using	use	VERB
ajmri-633	178	8	this	this	DET
ajmri-633	178	9	technique	technique	NOUN
ajmri-633	178	10	.	.	PUNCT
ajmri-633	179	1	nominal	nominal	ADJ
ajmri-633	179	2	,	,	PUNCT
ajmri-633	179	3	ordinal	ordinal	ADJ
ajmri-633	179	4	,	,	PUNCT
ajmri-633	179	5	or	or	CCONJ
ajmri-633	179	6	interval	interval	NOUN
ajmri-633	179	7	variables	variable	NOUN
ajmri-633	179	8	use	use	VERB
ajmri-633	179	9	as	as	ADP
ajmri-633	179	10	independent	independent	ADJ
ajmri-633	179	11	variables	variable	NOUN
ajmri-633	179	12	.	.	PUNCT
ajmri-633	180	1	its	its	PRON
ajmri-633	180	2	basis	basis	NOUN
ajmri-633	180	3	on	on	ADP
ajmri-633	180	4	the	the	DET
ajmri-633	180	5	probabilistic	probabilistic	ADJ
ajmri-633	180	6	concept	concept	NOUN
ajmri-633	180	7	used	use	VERB
ajmri-633	180	8	to	to	PART
ajmri-633	180	9	solve	solve	VERB
ajmri-633	180	10	classification	classification	NOUN
ajmri-633	180	11	problems	problem	NOUN
ajmri-633	180	12	.	.	PUNCT
ajmri-633	181	1	its	its	PRON
ajmri-633	181	2	similarity	similarity	NOUN
ajmri-633	181	3	with	with	ADP
ajmri-633	181	4	the	the	DET
ajmri-633	181	5	linear	linear	ADJ
ajmri-633	181	6	regression	regression	NOUN
ajmri-633	181	7	model	model	NOUN
ajmri-633	181	8	and	and	CCONJ
ajmri-633	181	9	its	its	PRON
ajmri-633	181	10	complex	complex	ADJ
ajmri-633	181	11	cost	cost	NOUN
ajmri-633	181	12	function	function	NOUN
ajmri-633	181	13	is	be	AUX
ajmri-633	181	14	called	call	VERB
ajmri-633	181	15	’	'	PUNCT
ajmri-633	181	16	sigmoid	sigmoid	NOUN
ajmri-633	181	17	function	function	NOUN
ajmri-633	181	18	’	'	PUNCT
ajmri-633	181	19	can	can	AUX
ajmri-633	181	20	be	be	AUX
ajmri-633	181	21	denoted	denote	VERB
ajmri-633	181	22	by	by	ADP
ajmri-633	181	23	s	s	NOUN
ajmri-633	181	24	shape	shape	NOUN
ajmri-633	181	25	curve	curve	NOUN
ajmri-633	181	26	converted	convert	VERB
ajmri-633	181	27	real	real	ADJ
ajmri-633	181	28	value	value	NOUN
ajmri-633	181	29	to	to	ADP
ajmri-633	181	30	between	between	ADP
ajmri-633	181	31	0	0	NUM
ajmri-633	181	32	and	and	CCONJ
ajmri-633	181	33	1	1	NUM
ajmri-633	181	34	.	.	X
ajmri-633	182	1	if	if	SCONJ
ajmri-633	182	2	probability	probability	NOUN
ajmri-633	182	3	>	>	X
ajmri-633	182	4	0.50	0.50	NUM
ajmri-633	182	5	value	value	NOUN
ajmri-633	182	6	rounded	round	VERB
ajmri-633	182	7	off	off	ADV
ajmri-633	182	8	to	to	ADP
ajmri-633	182	9	1	1	NUM
ajmri-633	182	10	,	,	PUNCT
ajmri-633	182	11	probability	probability	NOUN
ajmri-633	182	12	<	<	X
ajmri-633	182	13	0.5	0.5	NUM
ajmri-633	182	14	value	value	NOUN
ajmri-633	182	15	rounded	round	VERB
ajmri-633	182	16	off	off	ADV
ajmri-633	182	17	to	to	ADP
ajmri-633	182	18	0	0	NUM
ajmri-633	182	19	.	.	PUNCT
ajmri-633	183	1	the	the	DET
ajmri-633	183	2	sigmoid	sigmoid	NOUN
ajmri-633	183	3	function	function	NOUN
ajmri-633	183	4	(	(	PUNCT
ajmri-633	183	5	σ	σ	NOUN
ajmri-633	183	6	)	)	PUNCT
ajmri-633	183	7	and	and	CCONJ
ajmri-633	183	8	the	the	DET
ajmri-633	183	9	input	input	NOUN
ajmri-633	183	10	(	(	PUNCT
ajmri-633	183	11	y	y	NOUN
ajmri-633	183	12	)	)	PUNCT
ajmri-633	183	13	to	to	ADP
ajmri-633	183	14	the	the	DET
ajmri-633	183	15	sigmoid	sigmoid	NOUN
ajmri-633	183	16	function	function	NOUN
ajmri-633	183	17	are	be	AUX
ajmri-633	183	18	shown	show	VERB
ajmri-633	183	19	in	in	ADP
ajmri-633	183	20	(	(	PUNCT
ajmri-633	183	21	3	3	NUM
ajmri-633	183	22	)	)	PUNCT
ajmri-633	183	23	and	and	CCONJ
ajmri-633	183	24	(	(	PUNCT
ajmri-633	183	25	4	4	NUM
ajmri-633	183	26	)	)	PUNCT
ajmri-633	183	27	and	and	CCONJ
ajmri-633	183	28	these	these	DET
ajmri-633	183	29	two	two	NUM
ajmri-633	183	30	equations	equation	NOUN
ajmri-633	183	31	have	have	AUX
ajmri-633	183	32	been	be	AUX
ajmri-633	183	33	taken	take	VERB
ajmri-633	183	34	from	from	ADP
ajmri-633	183	35	paper	paper	NOUN
ajmri-633	183	36	(	(	PUNCT
ajmri-633	183	37	awoyemi	awoyemi	PROPN
ajmri-633	183	38	,	,	PUNCT
ajmri-633	183	39	et	et	PROPN
ajmri-633	183	40	al	al	PROPN
ajmri-633	183	41	.	.	PROPN
ajmri-633	183	42	,	,	PUNCT
ajmri-633	183	43	2017	2017	NUM
ajmri-633	183	44	)	)	PUNCT
ajmri-633	183	45	.	.	PUNCT
ajmri-633	184	1	3	3	X
ajmri-633	184	2	)	)	PUNCT
ajmri-633	184	3	gain	gain	NOUN
ajmri-633	184	4	.	.	PUNCT
ajmri-633	185	1	then	then	ADV
ajmri-633	185	2	the	the	DET
ajmri-633	185	3	selected	select	VERB
ajmri-633	185	4	attribute	attribute	NOUN
ajmri-633	185	5	is	be	AUX
ajmri-633	185	6	split	split	VERB
ajmri-633	185	7	up	up	ADP
ajmri-633	185	8	the	the	DET
ajmri-633	185	9	root	root	NOUN
ajmri-633	185	10	node	node	NOUN
ajmri-633	185	11	for	for	ADP
ajmri-633	185	12	producing	produce	VERB
ajmri-633	185	13	a	a	DET
ajmri-633	185	14	sub	sub	NOUN
ajmri-633	185	15	node	node	NOUN
ajmri-633	185	16	.	.	PUNCT
ajmri-633	186	1	it	it	PRON
ajmri-633	186	2	continuously	continuously	ADV
ajmri-633	186	3	recurs	recur	VERB
ajmri-633	186	4	on	on	ADP
ajmri-633	186	5	each	each	DET
ajmri-633	186	6	subset	subset	NOUN
ajmri-633	186	7	,	,	PUNCT
ajmri-633	186	8	considered	consider	VERB
ajmri-633	186	9	only	only	ADV
ajmri-633	186	10	those	those	DET
ajmri-633	186	11	attributes	attribute	NOUN
ajmri-633	186	12	which	which	PRON
ajmri-633	186	13	never	never	ADV
ajmri-633	186	14	been	be	AUX
ajmri-633	186	15	selected	select	VERB
ajmri-633	186	16	before	before	ADV
ajmri-633	186	17	.	.	PUNCT
ajmri-633	187	1	in	in	ADP
ajmri-633	187	2	this	this	DET
ajmri-633	187	3	paper	paper	NOUN
ajmri-633	187	4	performed	perform	VERB
ajmri-633	187	5	gini	gini	PROPN
ajmri-633	187	6	criteria	criterion	NOUN
ajmri-633	187	7	and	and	CCONJ
ajmri-633	187	8	the	the	DET
ajmri-633	187	9	maximum	maximum	ADJ
ajmri-633	187	10	depth	depth	NOUN
ajmri-633	187	11	is	be	AUX
ajmri-633	187	12	set	set	VERB
ajmri-633	187	13	to	to	ADP
ajmri-633	187	14	5	5	NUM
ajmri-633	187	15	.	.	PUNCT
ajmri-633	188	1	the	the	DET
ajmri-633	188	2	following	follow	VERB
ajmri-633	188	3	formula	formula	NOUN
ajmri-633	188	4	is	be	AUX
ajmri-633	188	5	used	use	VERB
ajmri-633	188	6	to	to	PART
ajmri-633	188	7	compute	compute	VERB
ajmri-633	188	8	the	the	DET
ajmri-633	188	9	gini	gini	PROPN
ajmri-633	188	10	impurity	impurity	NOUN
ajmri-633	188	11	k	k	NOUN
ajmri-633	188	12	-	-	PUNCT
ajmri-633	188	13	nearest	near	ADJ
ajmri-633	188	14	neighbor	neighbor	NOUN
ajmri-633	188	15	the	the	DET
ajmri-633	188	16	k	k	PROPN
ajmri-633	188	17	-	-	PUNCT
ajmri-633	188	18	nearest	near	ADJ
ajmri-633	188	19	neighbor	neighbor	NOUN
ajmri-633	188	20	is	be	AUX
ajmri-633	188	21	a	a	DET
ajmri-633	188	22	supervised	supervised	ADJ
ajmri-633	188	23	classifiers	classifier	NOUN
ajmri-633	188	24	that	that	SCONJ
ajmri-633	188	25	any	any	DET
ajmri-633	188	26	data	data	NOUN
ajmri-633	188	27	scientist	scientist	NOUN
ajmri-633	188	28	should	should	AUX
ajmri-633	188	29	be	be	AUX
ajmri-633	188	30	familiar	familiar	ADJ
ajmri-633	188	31	with	with	ADP
ajmri-633	188	32	.	.	PUNCT
ajmri-633	189	1	it	it	PRON
ajmri-633	189	2	mainly	mainly	ADV
ajmri-633	189	3	used	use	VERB
ajmri-633	189	4	for	for	ADP
ajmri-633	189	5	classification	classification	NOUN
ajmri-633	189	6	tasks	task	NOUN
ajmri-633	189	7	.	.	PUNCT
ajmri-633	190	1	it	it	PRON
ajmri-633	190	2	uses	use	VERB
ajmri-633	190	3	similarity	similarity	NOUN
ajmri-633	190	4	to	to	PART
ajmri-633	190	5	classify	classify	VERB
ajmri-633	190	6	a	a	DET
ajmri-633	190	7	new	new	ADJ
ajmri-633	190	8	data	data	NOUN
ajmri-633	190	9	point	point	NOUN
ajmri-633	190	10	.	.	PUNCT
ajmri-633	191	1	the	the	DET
ajmri-633	191	2	knn	knn	PROPN
ajmri-633	191	3	algorithms	algorithms	PROPN
ajmri-633	191	4	choose	choose	VERB
ajmri-633	191	5	a	a	DET
ajmri-633	191	6	number	number	NOUN
ajmri-633	191	7	k	k	NOUN
ajmri-633	191	8	cause	cause	VERB
ajmri-633	191	9	the	the	DET
ajmri-633	191	10	data	data	NOUN
ajmri-633	191	11	point	point	NOUN
ajmri-633	191	12	of	of	ADP
ajmri-633	191	13	the	the	DET
ajmri-633	191	14	closest	close	ADJ
ajmri-633	191	15	neighbor	neighbor	NOUN
ajmri-633	191	16	will	will	AUX
ajmri-633	191	17	reseparated	reseparate	VERB
ajmri-633	191	18	.	.	PUNCT
ajmri-633	192	1	in	in	ADP
ajmri-633	192	2	this	this	DET
ajmri-633	192	3	paper	paper	NOUN
ajmri-633	192	4	has	have	AUX
ajmri-633	192	5	been	be	AUX
ajmri-633	192	6	set	set	VERB
ajmri-633	192	7	the	the	DET
ajmri-633	192	8	value	value	NOUN
ajmri-633	192	9	of	of	ADP
ajmri-633	192	10	k	k	PROPN
ajmri-633	192	11	is	be	AUX
ajmri-633	192	12	5	5	NUM
ajmri-633	192	13	,	,	PUNCT
ajmri-633	192	14	which	which	DET
ajmri-633	192	15	value	value	NOUN
ajmri-633	192	16	will	will	AUX
ajmri-633	192	17	search	search	VERB
ajmri-633	192	18	for	for	ADP
ajmri-633	192	19	the	the	DET
ajmri-633	192	20	5	5	NUM
ajmri-633	192	21	closest	close	ADJ
ajmri-633	192	22	neighbors	neighbor	NOUN
ajmri-633	192	23	to	to	ADP
ajmri-633	192	24	that	that	DET
ajmri-633	192	25	data	data	NOUN
ajmri-633	192	26	point	point	NOUN
ajmri-633	192	27	.	.	PUNCT
ajmri-633	193	1	euclidean	euclidean	PROPN
ajmri-633	193	2	,	,	PUNCT
ajmri-633	193	3	manhattan	manhattan	PROPN
ajmri-633	193	4	,	,	PUNCT
ajmri-633	193	5	and	and	CCONJ
ajmri-633	193	6	minkowski	minkowski	ADJ
ajmri-633	193	7	distance	distance	NOUN
ajmri-633	193	8	functions	function	NOUN
ajmri-633	193	9	can	can	AUX
ajmri-633	193	10	be	be	AUX
ajmri-633	193	11	used	use	VERB
ajmri-633	193	12	for	for	ADP
ajmri-633	193	13	calculating	calculate	VERB
ajmri-633	193	14	the	the	DET
ajmri-633	193	15	input	input	NOUN
ajmri-633	193	16	and	and	CCONJ
ajmri-633	193	17	current	current	ADJ
ajmri-633	193	18	data	datum	NOUN
ajmri-633	193	19	points	point	NOUN
ajmri-633	193	20	.	.	PUNCT
ajmri-633	194	1	the	the	DET
ajmri-633	194	2	euclidean	euclidean	NOUN
ajmri-633	194	3	and	and	CCONJ
ajmri-633	194	4	the	the	DET
ajmri-633	194	5	manhattan	manhattan	PROPN
ajmri-633	194	6	distances	distance	NOUN
ajmri-633	194	7	are	be	AUX
ajmri-633	194	8	used	use	VERB
ajmri-633	194	9	for	for	ADP
ajmri-633	194	10	continuous	continuous	ADJ
ajmri-633	194	11	variables	variable	NOUN
ajmri-633	194	12	while	while	SCONJ
ajmri-633	194	13	the	the	DET
ajmri-633	194	14	minkowski	minkowski	ADJ
ajmri-633	194	15	distance	distance	NOUN
ajmri-633	194	16	suited	suit	VERB
ajmri-633	194	17	for	for	ADP
ajmri-633	194	18	statistical	statistical	ADJ
ajmri-633	194	19	variables	variable	NOUN
ajmri-633	194	20	.	.	PUNCT
ajmri-633	195	1	the	the	DET
ajmri-633	195	2	knn	knn	PROPN
ajmri-633	195	3	classifier	classifier	PROPN
ajmri-633	195	4	have	have	AUX
ajmri-633	195	5	been	be	AUX
ajmri-633	195	6	used	use	VERB
ajmri-633	195	7	the	the	DET
ajmri-633	195	8	euclidean	euclidean	ADJ
ajmri-633	195	9	distance	distance	NOUN
ajmri-633	195	10	measure	measure	NOUN
ajmri-633	195	11	where	where	SCONJ
ajmri-633	195	12	distances	distance	NOUN
ajmri-633	195	13	are	be	AUX
ajmri-633	195	14	stored	store	VERB
ajmri-633	195	15	in	in	ADP
ajmri-633	195	16	increasing	increase	VERB
ajmri-633	195	17	order	order	NOUN
ajmri-633	195	18	and	and	CCONJ
ajmri-633	195	19	k	k	X
ajmri-633	195	20	items	item	NOUN
ajmri-633	195	21	with	with	ADP
ajmri-633	195	22	lowest	low	ADJ
ajmri-633	195	23	distances	distance	NOUN
ajmri-633	195	24	are	be	AUX
ajmri-633	195	25	selected	select	VERB
ajmri-633	195	26	.	.	PUNCT
ajmri-633	196	1	random	random	ADJ
ajmri-633	196	2	forest	forest	NOUN
ajmri-633	196	3	random	random	ADJ
ajmri-633	196	4	forest	forest	NOUN
ajmri-633	196	5	is	be	AUX
ajmri-633	196	6	another	another	DET
ajmri-633	196	7	type	type	NOUN
ajmri-633	196	8	of	of	ADP
ajmri-633	196	9	supervised	supervised	ADJ
ajmri-633	196	10	machine	machine	NOUN
ajmri-633	196	11	learning	learning	NOUN
ajmri-633	196	12	technique	technique	NOUN
ajmri-633	196	13	,	,	PUNCT
ajmri-633	196	14	used	use	VERB
ajmri-633	196	15	for	for	ADP
ajmri-633	196	16	solving	solve	VERB
ajmri-633	196	17	classification	classification	NOUN
ajmri-633	196	18	and	and	CCONJ
ajmri-633	196	19	regression	regression	NOUN
ajmri-633	196	20	problems	problem	NOUN
ajmri-633	196	21	.	.	PUNCT
ajmri-633	197	1	it	it	PRON
ajmri-633	197	2	generates	generate	VERB
ajmri-633	197	3	multiple	multiple	ADJ
ajmri-633	197	4	decision	decision	NOUN
ajmri-633	197	5	trees	tree	NOUN
ajmri-633	197	6	at	at	ADP
ajmri-633	197	7	training	training	NOUN
ajmri-633	197	8	time	time	NOUN
ajmri-633	197	9	for	for	ADP
ajmri-633	197	10	getting	get	VERB
ajmri-633	197	11	more	more	ADV
ajmri-633	197	12	accurate	accurate	ADJ
ajmri-633	197	13	and	and	CCONJ
ajmri-633	197	14	consistent	consistent	ADJ
ajmri-633	197	15	predictions	prediction	NOUN
ajmri-633	197	16	based	base	VERB
ajmri-633	197	17	on	on	ADP
ajmri-633	197	18	majority	majority	NOUN
ajmri-633	197	19	voting	voting	NOUN
ajmri-633	197	20	.	.	PUNCT
ajmri-633	198	1	using	use	VERB
ajmri-633	198	2	hyperparameter	hyperparameter	NOUN
ajmri-633	198	3	tuning	tune	VERB
ajmri-633	198	4	this	this	DET
ajmri-633	198	5	work	work	NOUN
ajmri-633	198	6	found	find	VERB
ajmri-633	198	7	out	out	ADP
ajmri-633	198	8	that	that	SCONJ
ajmri-633	198	9	random	random	ADJ
ajmri-633	198	10	forest	forest	NOUN
ajmri-633	198	11	performs	perform	VERB
ajmri-633	198	12	considerably	considerably	ADV
ajmri-633	198	13	better	well	ADJ
ajmri-633	198	14	when	when	SCONJ
ajmri-633	198	15	50	50	NUM
ajmri-633	198	16	trees	tree	NOUN
ajmri-633	198	17	are	be	AUX
ajmri-633	198	18	trained	train	VERB
ajmri-633	198	19	in	in	ADP
ajmri-633	198	20	parallel	parallel	NOUN
ajmri-633	198	21	.	.	PUNCT
ajmri-633	199	1	entropy	entropy	PROPN
ajmri-633	199	2	criteria	criterion	NOUN
ajmri-633	199	3	and	and	CCONJ
ajmri-633	199	4	bootstrap	bootstrap	NOUN
ajmri-633	199	5	aggregation	aggregation	NOUN
ajmri-633	199	6	are	be	AUX
ajmri-633	199	7	used	use	VERB
ajmri-633	199	8	for	for	ADP
ajmri-633	199	9	getting	get	VERB
ajmri-633	199	10	more	more	ADV
ajmri-633	199	11	accurate	accurate	ADJ
ajmri-633	199	12	results	result	NOUN
ajmri-633	199	13	.	.	PUNCT
ajmri-633	200	1	decision	decision	NOUN
ajmri-633	200	2	tree	tree	NOUN
ajmri-633	200	3	decision	decision	NOUN
ajmri-633	200	4	tree	tree	NOUN
ajmri-633	200	5	algorithm	algorithm	NOUN
ajmri-633	200	6	is	be	AUX
ajmri-633	200	7	a	a	DET
ajmri-633	200	8	supervised	supervised	ADJ
ajmri-633	200	9	learning	learn	VERB
ajmri-633	200	10	algorithm	algorithm	NOUN
ajmri-633	200	11	where	where	SCONJ
ajmri-633	200	12	the	the	DET
ajmri-633	200	13	root	root	NOUN
ajmri-633	200	14	node	node	NOUN
ajmri-633	200	15	splits	split	VERB
ajmri-633	200	16	into	into	ADP
ajmri-633	200	17	sub	sub	NOUN
ajmri-633	200	18	node	node	NOUN
ajmri-633	200	19	continuously	continuously	ADV
ajmri-633	200	20	.	.	PUNCT
ajmri-633	201	1	root	root	NOUN
ajmri-633	201	2	node	node	NOUN
ajmri-633	201	3	can	can	AUX
ajmri-633	201	4	be	be	AUX
ajmri-633	201	5	identified	identify	VERB
ajmri-633	201	6	by	by	ADP
ajmri-633	201	7	calculating	calculate	VERB
ajmri-633	201	8	the	the	DET
ajmri-633	201	9	entropy	entropy	NOUN
ajmri-633	201	10	and	and	CCONJ
ajmri-633	201	11	information	information	NOUN
ajmri-633	201	12	gain	gain	NOUN
ajmri-633	201	13	from	from	ADP
ajmri-633	201	14	the	the	DET
ajmri-633	201	15	trained	train	VERB
ajmri-633	201	16	dataset	dataset	NOUN
ajmri-633	201	17	and	and	CCONJ
ajmri-633	201	18	sub	sub	VERB
ajmri-633	201	19	node	node	NOUN
ajmri-633	201	20	also	also	ADV
ajmri-633	201	21	.	.	PUNCT
ajmri-633	202	1	another	another	DET
ajmri-633	202	2	entity	entity	NOUN
ajmri-633	202	3	is	be	AUX
ajmri-633	202	4	leaf	leaf	NOUN
ajmri-633	202	5	node	node	NOUN
ajmri-633	202	6	which	which	PRON
ajmri-633	202	7	is	be	AUX
ajmri-633	202	8	the	the	DET
ajmri-633	202	9	final	final	ADJ
ajmri-633	202	10	outcome	outcome	NOUN
ajmri-633	202	11	that	that	PRON
ajmri-633	202	12	does	do	AUX
ajmri-633	202	13	n’t	not	PART
ajmri-633	202	14	separate	separate	VERB
ajmri-633	202	15	any	any	DET
ajmri-633	202	16	sub	sub	NOUN
ajmri-633	202	17	node	node	NOUN
ajmri-633	202	18	.	.	PUNCT
ajmri-633	203	1	at	at	ADP
ajmri-633	203	2	first	first	ADV
ajmri-633	203	3	,	,	PUNCT
ajmri-633	203	4	it	it	PRON
ajmri-633	203	5	begins	begin	VERB
ajmri-633	203	6	with	with	ADP
ajmri-633	203	7	the	the	DET
ajmri-633	203	8	root	root	NOUN
ajmri-633	203	9	node	node	NOUN
ajmri-633	203	10	.	.	PUNCT
ajmri-633	204	1	on	on	ADP
ajmri-633	204	2	each	each	DET
ajmri-633	204	3	iteration	iteration	NOUN
ajmri-633	204	4	,	,	PUNCT
ajmri-633	204	5	it	it	PRON
ajmri-633	204	6	calculates	calculate	VERB
ajmri-633	204	7	entropy	entropy	NOUN
ajmri-633	204	8	and	and	CCONJ
ajmri-633	204	9	information	information	NOUN
ajmri-633	204	10	gain	gain	NOUN
ajmri-633	204	11	of	of	ADP
ajmri-633	204	12	this	this	DET
ajmri-633	204	13	attribute	attribute	NOUN
ajmri-633	204	14	.	.	PUNCT
ajmri-633	205	1	it	it	PRON
ajmri-633	205	2	selects	select	VERB
ajmri-633	205	3	the	the	DET
ajmri-633	205	4	smallest	small	ADJ
ajmri-633	205	5	entropy	entropy	NOUN
ajmri-633	205	6	or	or	CCONJ
ajmri-633	205	7	largest	large	ADJ
ajmri-633	205	8	information	information	NOUN
ajmri-633	205	9	where	where	SCONJ
ajmri-633	205	10	pi	pi	NOUN
ajmri-633	205	11	is	be	AUX
ajmri-633	205	12	the	the	DET
ajmri-633	205	13	probability	probability	NOUN
ajmri-633	205	14	of	of	ADP
ajmri-633	205	15	class	class	NOUN
ajmri-633	205	16	i	i	PRON
ajmri-633	205	17	performance	performance	NOUN
ajmri-633	205	18	evaluation	evaluation	NOUN
ajmri-633	205	19	in	in	ADP
ajmri-633	205	20	this	this	DET
ajmri-633	205	21	thesis	thesis	NOUN
ajmri-633	205	22	have	have	AUX
ajmri-633	205	23	been	be	AUX
ajmri-633	205	24	proposed	propose	VERB
ajmri-633	205	25	five	five	NUM
ajmri-633	205	26	approaches	approach	NOUN
ajmri-633	205	27	named	name	VERB
ajmri-633	205	28	as	as	ADP
ajmri-633	205	29	naïve	naïve	ADJ
ajmri-633	205	30	bayes	bayes	NOUN
ajmri-633	205	31	,	,	PUNCT
ajmri-633	205	32	k	k	NOUN
ajmri-633	205	33	-	-	PUNCT
ajmri-633	205	34	nearest	near	ADJ
ajmri-633	205	35	neighbor	neighbor	NOUN
ajmri-633	205	36	,	,	PUNCT
ajmri-633	205	37	logistic	logistic	ADJ
ajmri-633	205	38	regression	regression	NOUN
ajmri-633	205	39	,	,	PUNCT
ajmri-633	205	40	random	random	ADJ
ajmri-633	205	41	forest	forest	NOUN
ajmri-633	205	42	,	,	PUNCT
ajmri-633	205	43	and	and	CCONJ
ajmri-633	205	44	decision	decision	NOUN
ajmri-633	205	45	tree	tree	NOUN
ajmri-633	205	46	.	.	PUNCT
ajmri-633	206	1	the	the	DET
ajmri-633	206	2	research	research	NOUN
ajmri-633	206	3	has	have	AUX
ajmri-633	206	4	trained	train	VERB
ajmri-633	206	5	the	the	DET
ajmri-633	206	6	model	model	NOUN
ajmri-633	206	7	by	by	ADP
ajmri-633	206	8	using	use	VERB
ajmri-633	206	9	the	the	DET
ajmri-633	206	10	prepared	prepare	VERB
ajmri-633	206	11	data	datum	NOUN
ajmri-633	206	12	set	set	VERB
ajmri-633	206	13	which	which	PRON
ajmri-633	206	14	is	be	AUX
ajmri-633	206	15	made	make	VERB
ajmri-633	206	16	available	available	ADJ
ajmri-633	206	17	in	in	ADP
ajmri-633	206	18	kaggle	kaggle	NOUN
ajmri-633	206	19	.	.	PUNCT
ajmri-633	207	1	many	many	ADJ
ajmri-633	207	2	simulations	simulation	NOUN
ajmri-633	207	3	are	be	AUX
ajmri-633	207	4	run	run	VERB
ajmri-633	207	5	to	to	PART
ajmri-633	207	6	verify	verify	VERB
ajmri-633	207	7	the	the	DET
ajmri-633	207	8	results	result	NOUN
ajmri-633	207	9	,	,	PUNCT
ajmri-633	207	10	and	and	CCONJ
ajmri-633	207	11	these	these	DET
ajmri-633	207	12	methods	method	NOUN
ajmri-633	207	13	solve	solve	VERB
ajmri-633	207	14	the	the	DET
ajmri-633	207	15	flaws	flaw	NOUN
ajmri-633	207	16	that	that	PRON
ajmri-633	207	17	prior	prior	ADJ
ajmri-633	207	18	techniques	technique	NOUN
ajmri-633	207	19	had	have	VERB
ajmri-633	207	20	.	.	PUNCT
ajmri-633	208	1	basis	basis	NOUN
ajmri-633	208	2	of	of	ADP
ajmri-633	208	3	an	an	DET
ajmri-633	208	4	accuracy	accuracy	NOUN
ajmri-633	208	5	,	,	PUNCT
ajmri-633	208	6	recall	recall	NOUN
ajmri-633	208	7	,	,	PUNCT
ajmri-633	208	8	precision	precision	NOUN
ajmri-633	208	9	,	,	PUNCT
ajmri-633	208	10	f1	f1	NOUN
ajmri-633	208	11	-	-	PUNCT
ajmri-633	208	12	score	score	NOUN
ajmri-633	208	13	,	,	PUNCT
ajmri-633	208	14	and	and	CCONJ
ajmri-633	208	15	false	false	ADJ
ajmri-633	208	16	positive	positive	ADJ
ajmri-633	208	17	rate	rate	NOUN
ajmri-633	208	18	,	,	PUNCT
ajmri-633	208	19	the	the	DET
ajmri-633	208	20	nb	nb	PROPN
ajmri-633	208	21	,	,	PUNCT
ajmri-633	208	22	knn	knn	PROPN
ajmri-633	208	23	,	,	PUNCT
ajmri-633	208	24	rf	rf	PROPN
ajmri-633	208	25	,	,	PUNCT
ajmri-633	208	26	dt	dt	X
ajmri-633	208	27	,	,	PUNCT
ajmri-633	208	28	and	and	CCONJ
ajmri-633	208	29	lr	lr	NOUN
ajmri-633	208	30	classifiers	classifier	NOUN
ajmri-633	208	31	are	be	AUX
ajmri-633	208	32	evaluated	evaluate	VERB
ajmri-633	208	33	.	.	PUNCT
ajmri-633	209	1	false	false	ADJ
ajmri-633	209	2	positive	positive	ADJ
ajmri-633	209	3	are	be	AUX
ajmri-633	209	4	actually	actually	ADV
ajmri-633	209	5	negative	negative	ADJ
ajmri-633	209	6	cases	case	NOUN
ajmri-633	209	7	but	but	CCONJ
ajmri-633	209	8	classified	classify	VERB
ajmri-633	209	9	as	as	ADP
ajmri-633	209	10	positive	positive	ADJ
ajmri-633	209	11	cases	case	NOUN
ajmri-633	209	12	.	.	PUNCT
ajmri-633	210	1	the	the	DET
ajmri-633	210	2	confusion	confusion	NOUN
ajmri-633	210	3	matrix	matrix	NOUN
ajmri-633	210	4	,	,	PUNCT
ajmri-633	210	5	which	which	PRON
ajmri-633	210	6	describes	describe	VERB
ajmri-633	210	7	the	the	DET
ajmri-633	210	8	difference	difference	NOUN
ajmri-633	210	9	between	between	ADP
ajmri-633	210	10	the	the	DET
ajmri-633	210	11	dataset	dataset	NOUN
ajmri-633	210	12	’s	’s	PART
ajmri-633	210	13	ground	ground	NOUN
ajmri-633	210	14	truth	truth	NOUN
ajmri-633	210	15	and	and	CCONJ
ajmri-633	210	16	the	the	DET
ajmri-633	210	17	model	model	NOUN
ajmri-633	210	18	prediction	prediction	NOUN
ajmri-633	210	19	,	,	PUNCT
ajmri-633	210	20	is	be	AUX
ajmri-633	210	21	a	a	DET
ajmri-633	210	22	traditional	traditional	ADJ
ajmri-633	210	23	approach	approach	NOUN
ajmri-633	210	24	of	of	ADP
ajmri-633	210	25	evaluating	evaluate	VERB
ajmri-633	210	26	machine	machine	NOUN
ajmri-633	210	27	learning	learn	VERB
ajmri-633	210	28	classifiers	classifier	NOUN
ajmri-633	210	29	(	(	PUNCT
ajmri-633	210	30	see	see	VERB
ajmri-633	210	31	table	table	NOUN
ajmri-633	210	32	i	i	NOUN
ajmri-633	210	33	)	)	PUNCT
ajmri-633	210	34	.	.	PUNCT
ajmri-633	211	1	in	in	ADP
ajmri-633	211	2	a	a	DET
ajmri-633	211	3	perfect	perfect	ADJ
ajmri-633	211	4	model	model	NOUN
ajmri-633	211	5	,	,	PUNCT
ajmri-633	211	6	all	all	DET
ajmri-633	211	7	positive	positive	ADJ
ajmri-633	211	8	examples	example	NOUN
ajmri-633	211	9	would	would	AUX
ajmri-633	211	10	be	be	AUX
ajmri-633	211	11	predicted	predict	VERB
ajmri-633	211	12	to	to	PART
ajmri-633	211	13	be	be	AUX
ajmri-633	211	14	positive	positive	ADJ
ajmri-633	211	15	,	,	PUNCT
ajmri-633	211	16	and	and	CCONJ
ajmri-633	211	17	all	all	DET
ajmri-633	211	18	negative	negative	ADJ
ajmri-633	211	19	examples	example	NOUN
ajmri-633	211	20	would	would	AUX
ajmri-633	211	21	be	be	AUX
ajmri-633	211	22	predicted	predict	VERB
ajmri-633	211	23	to	to	PART
ajmri-633	211	24	be	be	AUX
ajmri-633	211	25	negative	negative	ADJ
ajmri-633	211	26	.	.	PUNCT
ajmri-633	212	1	the	the	DET
ajmri-633	212	2	confusion	confusion	NOUN
ajmri-633	212	3	matrix	matrix	NOUN
ajmri-633	212	4	can	can	AUX
ajmri-633	212	5	be	be	AUX
ajmri-633	212	6	used	use	VERB
ajmri-633	212	7	to	to	PART
ajmri-633	212	8	compute	compute	VERB
ajmri-633	212	9	a	a	DET
ajmri-633	212	10	variety	variety	NOUN
ajmri-633	212	11	of	of	ADP
ajmri-633	212	12	metrics	metric	NOUN
ajmri-633	212	13	to	to	PART
ajmri-633	212	14	compare	compare	VERB
ajmri-633	212	15	the	the	DET
ajmri-633	212	16	performance	performance	NOUN
ajmri-633	212	17	of	of	ADP
ajmri-633	212	18	classifiers	classifier	NOUN
ajmri-633	212	19	:	:	PUNCT
ajmri-633	212	20	recall	recall	NOUN
ajmri-633	212	21	table	table	NOUN
ajmri-633	212	22	1	1	NUM
ajmri-633	212	23	:	:	PUNCT
ajmri-633	212	24	confusion	confusion	NOUN
ajmri-633	212	25	matrix	matrix	NOUN
ajmri-633	212	26	of	of	ADP
ajmri-633	212	27	credit	credit	NOUN
ajmri-633	212	28	card	card	NOUN
ajmri-633	212	29	dataset	dataset	NOUN
ajmri-633	212	30	predicted	predict	VERB
ajmri-633	212	31	as	as	SCONJ
ajmri-633	212	32	non	non	ADJ
ajmri-633	212	33	-	-	NOUN
ajmri-633	212	34	fraud	fraud	NOUN
ajmri-633	212	35	predicted	predict	VERB
ajmri-633	212	36	as	as	SCONJ
ajmri-633	212	37	fraud	fraud	NOUN
ajmri-633	212	38	actual	actual	ADJ
ajmri-633	212	39	non	non	ADJ
ajmri-633	212	40	-	-	ADJ
ajmri-633	212	41	fraud	fraud	ADJ
ajmri-633	212	42	true	true	ADJ
ajmri-633	212	43	negative	negative	ADJ
ajmri-633	212	44	false	false	ADJ
ajmri-633	212	45	positive	positive	ADJ
ajmri-633	212	46	actual	actual	ADJ
ajmri-633	212	47	fraud	fraud	NOUN
ajmri-633	212	48	false	false	ADJ
ajmri-633	212	49	negative	negative	ADJ
ajmri-633	212	50	true	true	ADJ
ajmri-633	212	51	positive	positive	ADJ
ajmri-633	212	52	and	and	CCONJ
ajmri-633	212	53	precision	precision	NOUN
ajmri-633	212	54	give	give	VERB
ajmri-633	212	55	the	the	DET
ajmri-633	212	56	positive	positive	ADJ
ajmri-633	212	57	(	(	PUNCT
ajmri-633	212	58	fraud	fraud	NOUN
ajmri-633	212	59	)	)	PUNCT
ajmri-633	212	60	cases	case	VERB
ajmri-633	212	61	classification	classification	NOUN
ajmri-633	212	62	.	.	PUNCT
ajmri-633	213	1	accuracy	accuracy	NOUN
ajmri-633	213	2	is	be	AUX
ajmri-633	213	3	the	the	DET
ajmri-633	213	4	proportion	proportion	NOUN
ajmri-633	213	5	of	of	ADP
ajmri-633	213	6	well	well	ADV
ajmri-633	213	7	classified	classified	ADJ
ajmri-633	213	8	examples	example	NOUN
ajmri-633	213	9	among	among	ADP
ajmri-633	213	10	all	all	DET
ajmri-633	213	11	the	the	DET
ajmri-633	213	12	testing	testing	NOUN
ajmri-633	213	13	examples	example	NOUN
ajmri-633	213	14	.	.	PUNCT
ajmri-633	214	1	where	where	SCONJ
ajmri-633	214	2	precision	precision	NOUN
ajmri-633	214	3	and	and	CCONJ
ajmri-633	214	4	recall	recall	NOUN
ajmri-633	214	5	are	be	AUX
ajmri-633	214	6	diametrically	diametrically	ADV
ajmri-633	214	7	opposed	oppose	VERB
ajmri-633	214	8	it	it	PRON
ajmri-633	214	9	’s	’s	AUX
ajmri-633	214	10	called	call	VERB
ajmri-633	214	11	f1	f1	NOUN
ajmri-633	214	12	-	-	PUNCT
ajmri-633	214	13	score	score	NOUN
ajmri-633	214	14	.	.	PUNCT
ajmri-633	215	1	results	result	NOUN
ajmri-633	215	2	and	and	CCONJ
ajmri-633	215	3	discussion	discussion	NOUN
ajmri-633	215	4	in	in	ADP
ajmri-633	215	5	this	this	DET
ajmri-633	215	6	study	study	NOUN
ajmri-633	215	7	used	use	VERB
ajmri-633	215	8	five	five	NUM
ajmri-633	215	9	classifier	classifier	NOUN
ajmri-633	215	10	models	model	NOUN
ajmri-633	215	11	;	;	PUNCT
ajmri-633	215	12	rf	rf	VERB
ajmri-633	215	13	,	,	PUNCT
ajmri-633	215	14	dt	dt	X
ajmri-633	215	15	,	,	PUNCT
ajmri-633	215	16	lr	lr	PROPN
ajmri-633	215	17	,	,	PUNCT
ajmri-633	215	18	knn	knn	PROPN
ajmri-633	215	19	,	,	PUNCT
ajmri-633	215	20	and	and	CCONJ
ajmri-633	215	21	nb	nb	INTJ
ajmri-633	215	22	.	.	PUNCT
ajmri-633	216	1	this	this	DET
ajmri-633	216	2	paper	paper	NOUN
ajmri-633	216	3	has	have	AUX
ajmri-633	216	4	been	be	AUX
ajmri-633	216	5	used	use	VERB
ajmri-633	216	6	different	different	ADJ
ajmri-633	216	7	types	type	NOUN
ajmri-633	216	8	of	of	ADP
ajmri-633	216	9	balancing	balance	VERB
ajmri-633	216	10	techniques	technique	NOUN
ajmri-633	216	11	such	such	ADJ
ajmri-633	216	12	as	as	ADP
ajmri-633	216	13	under	under	NOUN
ajmri-633	216	14	-	-	PUNCT
ajmri-633	216	15	sampling	sample	VERB
ajmri-633	216	16	,	,	PUNCT
ajmri-633	216	17	oversampling	oversampling	ADJ
ajmri-633	216	18	,	,	PUNCT
ajmri-633	216	19	synthetic	synthetic	ADJ
ajmri-633	216	20	minority	minority	NOUN
ajmri-633	216	21	oversampling	oversampling	NOUN
ajmri-633	216	22	,	,	PUNCT
ajmri-633	216	23	and	and	CCONJ
ajmri-633	216	24	https://journals.e-palli.com/home/index.php/ajmri	https://journals.e-palli.com/home/index.php/ajmri	PROPN
ajmri-633	216	25	pa	pa	PROPN
ajmri-633	216	26	ge	ge	PROPN
ajmri-633	216	27	16	16	NUM
ajmri-633	216	28	5	5	NUM
ajmri-633	216	29	https://journals.e-palli.com/home/index.php/ajmri	https://journals.e-palli.com/home/index.php/ajmri	PROPN
ajmri-633	216	30	am	am	NOUN
ajmri-633	216	31	.	.	PUNCT
ajmri-633	217	1	j.	j.	PROPN
ajmri-633	217	2	multidis	multidis	PROPN
ajmri-633	217	3	.	.	PUNCT
ajmri-633	218	1	res	re	NOUN
ajmri-633	218	2	.	.	PUNCT
ajmri-633	219	1	innov	innov	PROPN
ajmri-633	219	2	.	.	PUNCT
ajmri-633	220	1	1(4	1(4	NUM
ajmri-633	220	2	)	)	PUNCT
ajmri-633	220	3	150	150	NUM
ajmri-633	220	4	-	-	SYM
ajmri-633	220	5	159	159	NUM
ajmri-633	220	6	,	,	PUNCT
ajmri-633	220	7	2022	2022	NUM
ajmri-633	220	8	adaptive	adaptive	ADJ
ajmri-633	220	9	synthetic	synthetic	ADJ
ajmri-633	220	10	techniques	technique	NOUN
ajmri-633	220	11	.	.	PUNCT
ajmri-633	221	1	sampling	sample	VERB
ajmri-633	221	2	techniques	technique	NOUN
ajmri-633	221	3	,	,	PUNCT
ajmri-633	221	4	where	where	SCONJ
ajmri-633	221	5	the	the	DET
ajmri-633	221	6	best	good	ADJ
ajmri-633	221	7	classifier	classifier	NOUN
ajmri-633	221	8	is	be	AUX
ajmri-633	221	9	random	random	ADJ
ajmri-633	221	10	forest	forest	NOUN
ajmri-633	221	11	.	.	PUNCT
ajmri-633	222	1	the	the	DET
ajmri-633	222	2	rf	rf	ADJ
ajmri-633	222	3	accuracy	accuracy	NOUN
ajmri-633	222	4	,	,	PUNCT
ajmri-633	222	5	recall	recall	NOUN
ajmri-633	222	6	,	,	PUNCT
ajmri-633	222	7	and	and	CCONJ
ajmri-633	222	8	f1	f1	NOUN
ajmri-633	222	9	-	-	PUNCT
ajmri-633	222	10	score	score	NOUN
ajmri-633	222	11	are	be	AUX
ajmri-633	222	12	99.95	99.95	NUM
ajmri-633	222	13	%	%	NOUN
ajmri-633	222	14	,	,	PUNCT
ajmri-633	222	15	78.57	78.57	NUM
ajmri-633	222	16	%	%	NOUN
ajmri-633	222	17	,	,	PUNCT
ajmri-633	222	18	and	and	CCONJ
ajmri-633	222	19	87.00	87.00	NUM
ajmri-633	222	20	%	%	NOUN
ajmri-633	222	21	.	.	PUNCT
ajmri-633	223	1	here	here	ADV
ajmri-633	223	2	the	the	DET
ajmri-633	223	3	precision	precision	NOUN
ajmri-633	223	4	score	score	NOUN
ajmri-633	223	5	is	be	AUX
ajmri-633	223	6	not	not	PART
ajmri-633	223	7	enough	enough	ADJ
ajmri-633	223	8	to	to	PART
ajmri-633	223	9	predict	predict	VERB
ajmri-633	223	10	the	the	DET
ajmri-633	223	11	fraud	fraud	NOUN
ajmri-633	223	12	and	and	CCONJ
ajmri-633	223	13	the	the	DET
ajmri-633	223	14	error	error	NOUN
ajmri-633	223	15	rate	rate	NOUN
ajmri-633	223	16	will	will	AUX
ajmri-633	223	17	be	be	AUX
ajmri-633	223	18	high	high	ADJ
ajmri-633	223	19	.	.	PUNCT
ajmri-633	224	1	table	table	NOUN
ajmri-633	224	2	2	2	NUM
ajmri-633	224	3	:	:	PUNCT
ajmri-633	224	4	before	before	ADP
ajmri-633	224	5	using	use	VERB
ajmri-633	224	6	sampling	sample	VERB
ajmri-633	224	7	techniques	technique	NOUN
ajmri-633	224	8	classifiers	classifier	NOUN
ajmri-633	224	9	metrics	metric	NOUN
ajmri-633	224	10	accuracy	accuracy	NOUN
ajmri-633	224	11	precision	precision	NOUN
ajmri-633	224	12	recall	recall	VERB
ajmri-633	224	13	f1	f1	NOUN
ajmri-633	224	14	-	-	PUNCT
ajmri-633	224	15	score	score	NOUN
ajmri-633	224	16	lr	lr	NOUN
ajmri-633	224	17	99.85	99.85	NUM
ajmri-633	224	18	%	%	NOUN
ajmri-633	224	19	82.14	82.14	NUM
ajmri-633	224	20	%	%	NOUN
ajmri-633	224	21	23.46	23.46	NUM
ajmri-633	224	22	%	%	NOUN
ajmri-633	224	23	36.50	36.50	NUM
ajmri-633	224	24	%	%	NOUN
ajmri-633	224	25	dt	dt	NOUN
ajmri-633	224	26	99.90	99.90	NUM
ajmri-633	224	27	%	%	NOUN
ajmri-633	224	28	74.43	74.43	NUM
ajmri-633	224	29	%	%	NOUN
ajmri-633	224	30	67.34	67.34	NUM
ajmri-633	224	31	%	%	NOUN
ajmri-633	224	32	70.71	70.71	NUM
ajmri-633	224	33	%	%	NOUN
ajmri-633	224	34	knn	knn	NOUN
ajmri-633	224	35	99.95	99.95	NUM
ajmri-633	224	36	%	%	NOUN
ajmri-633	224	37	93.90	93.90	NUM
ajmri-633	224	38	%	%	NOUN
ajmri-633	224	39	78.57	78.57	NUM
ajmri-633	224	40	%	%	NOUN
ajmri-633	224	41	85.55	85.55	NUM
ajmri-633	224	42	%	%	NOUN
ajmri-633	224	43	rf	rf	VERB
ajmri-633	224	44	99.95	99.95	NUM
ajmri-633	224	45	%	%	NOUN
ajmri-633	224	46	97.46	97.46	NUM
ajmri-633	224	47	%	%	NOUN
ajmri-633	224	48	78.57	78.57	NUM
ajmri-633	224	49	%	%	NOUN
ajmri-633	224	50	87.00	87.00	NUM
ajmri-633	224	51	%	%	NOUN
ajmri-633	224	52	nb	nb	NOUN
ajmri-633	224	53	97.75	97.75	NUM
ajmri-633	224	54	%	%	NOUN
ajmri-633	224	55	05.91	05.91	NUM
ajmri-633	224	56	%	%	NOUN
ajmri-633	224	57	80.61	80.61	NUM
ajmri-633	224	58	%	%	NOUN
ajmri-633	224	59	11.01	11.01	NUM
ajmri-633	224	60	%	%	NOUN
ajmri-633	224	61	table	table	NOUN
ajmri-633	224	62	ii	ii	NOUN
ajmri-633	224	63	displays	display	VERB
ajmri-633	224	64	the	the	DET
ajmri-633	224	65	comparison	comparison	NOUN
ajmri-633	224	66	results	result	VERB
ajmri-633	224	67	before	before	ADP
ajmri-633	224	68	using	use	VERB
ajmri-633	224	69	sampling	sample	VERB
ajmri-633	224	70	techniques	technique	NOUN
ajmri-633	224	71	,	,	PUNCT
ajmri-633	224	72	where	where	SCONJ
ajmri-633	224	73	the	the	DET
ajmri-633	224	74	best	good	ADJ
ajmri-633	224	75	classifier	classifier	NOUN
ajmri-633	224	76	is	be	AUX
ajmri-633	224	77	random	random	ADJ
ajmri-633	224	78	forest	forest	NOUN
ajmri-633	224	79	.	.	PUNCT
ajmri-633	225	1	the	the	DET
ajmri-633	225	2	rf	rf	ADJ
ajmri-633	225	3	accuracy	accuracy	NOUN
ajmri-633	225	4	,	,	PUNCT
ajmri-633	225	5	recall	recall	NOUN
ajmri-633	225	6	,	,	PUNCT
ajmri-633	225	7	and	and	CCONJ
ajmri-633	225	8	f1	f1	NOUN
ajmri-633	225	9	-	-	PUNCT
ajmri-633	225	10	score	score	NOUN
ajmri-633	225	11	are	be	AUX
ajmri-633	225	12	99.95	99.95	NUM
ajmri-633	225	13	%	%	NOUN
ajmri-633	225	14	,	,	PUNCT
ajmri-633	225	15	78.57	78.57	NUM
ajmri-633	225	16	%	%	NOUN
ajmri-633	225	17	,	,	PUNCT
ajmri-633	225	18	and	and	CCONJ
ajmri-633	225	19	87.00	87.00	NUM
ajmri-633	225	20	%	%	NOUN
ajmri-633	225	21	.	.	PUNCT
ajmri-633	226	1	here	here	ADV
ajmri-633	226	2	the	the	DET
ajmri-633	226	3	precision	precision	NOUN
ajmri-633	226	4	score	score	NOUN
ajmri-633	226	5	is	be	AUX
ajmri-633	226	6	not	not	PART
ajmri-633	226	7	enough	enough	ADJ
ajmri-633	226	8	to	to	PART
ajmri-633	226	9	predict	predict	VERB
ajmri-633	226	10	the	the	DET
ajmri-633	226	11	fraud	fraud	NOUN
ajmri-633	226	12	and	and	CCONJ
ajmri-633	226	13	the	the	DET
ajmri-633	226	14	error	error	NOUN
ajmri-633	226	15	rate	rate	NOUN
ajmri-633	226	16	will	will	AUX
ajmri-633	226	17	be	be	AUX
ajmri-633	226	18	high	high	ADJ
ajmri-633	226	19	.	.	PUNCT
ajmri-633	227	1	table	table	NOUN
ajmri-633	227	2	3	3	NUM
ajmri-633	227	3	:	:	PUNCT
ajmri-633	227	4	after	after	ADP
ajmri-633	227	5	applying	apply	VERB
ajmri-633	227	6	under	under	ADP
ajmri-633	227	7	-	-	PUNCT
ajmri-633	227	8	sampling	sample	VERB
ajmri-633	227	9	techniques	technique	NOUN
ajmri-633	227	10	classifiers	classifier	NOUN
ajmri-633	227	11	metrics	metric	NOUN
ajmri-633	227	12	accuracy	accuracy	NOUN
ajmri-633	227	13	precision	precision	NOUN
ajmri-633	227	14	recall	recall	VERB
ajmri-633	227	15	f1	f1	NOUN
ajmri-633	227	16	-	-	PUNCT
ajmri-633	227	17	score	score	NOUN
ajmri-633	227	18	fpr	fpr	NOUN
ajmri-633	227	19	lr	lr	NOUN
ajmri-633	227	20	99.940	99.940	NUM
ajmri-633	227	21	%	%	NOUN
ajmri-633	227	22	84.78	84.78	NUM
ajmri-633	227	23	%	%	NOUN
ajmri-633	227	24	79.59	79.59	NUM
ajmri-633	227	25	%	%	NOUN
ajmri-633	227	26	82.10	82.10	NUM
ajmri-633	227	27	%	%	NOUN
ajmri-633	227	28	0.024	0.024	NUM
ajmri-633	227	29	%	%	NOUN
ajmri-633	227	30	dt	dt	NOUN
ajmri-633	227	31	98.400	98.400	NUM
ajmri-633	227	32	%	%	NOUN
ajmri-633	227	33	08.30	08.30	NUM
ajmri-633	227	34	%	%	NOUN
ajmri-633	227	35	82.65	82.65	NUM
ajmri-633	227	36	%	%	NOUN
ajmri-633	227	37	15.09	15.09	NUM
ajmri-633	227	38	%	%	NOUN
ajmri-633	227	39	01.57	01.57	NUM
ajmri-633	227	40	%	%	NOUN
ajmri-633	227	41	knn	knn	NOUN
ajmri-633	227	42	97.740	97.740	NUM
ajmri-633	227	43	%	%	NOUN
ajmri-633	227	44	06.51	06.51	NUM
ajmri-633	227	45	%	%	NOUN
ajmri-633	227	46	90.81	90.81	NUM
ajmri-633	227	47	%	%	NOUN
ajmri-633	227	48	12.15	12.15	NUM
ajmri-633	227	49	%	%	NOUN
ajmri-633	227	50	02.24	02.24	NUM
ajmri-633	227	51	%	%	NOUN
ajmri-633	227	52	rf	rf	NOUN
ajmri-633	227	53	98.609	98.609	NUM
ajmri-633	227	54	%	%	NOUN
ajmri-633	227	55	10.20	10.20	NUM
ajmri-633	227	56	%	%	NOUN
ajmri-633	227	57	90.81	90.81	NUM
ajmri-633	227	58	%	%	NOUN
ajmri-633	227	59	18.35	18.35	NUM
ajmri-633	227	60	%	%	NOUN
ajmri-633	227	61	01.37	01.37	NUM
ajmri-633	227	62	%	%	NOUN
ajmri-633	227	63	nb	nb	NOUN
ajmri-633	228	1	96.938	96.938	NUM
ajmri-633	228	2	%	%	NOUN
ajmri-633	228	3	04.63	04.63	NUM
ajmri-633	228	4	%	%	NOUN
ajmri-633	228	5	85.71	85.71	NUM
ajmri-633	228	6	%	%	NOUN
ajmri-633	228	7	08.78	08.78	NUM
ajmri-633	228	8	%	%	NOUN
ajmri-633	228	9	03.04	03.04	NUM
ajmri-633	228	10	%	%	NOUN
ajmri-633	228	11	table	table	NOUN
ajmri-633	228	12	iii	iii	NOUN
ajmri-633	228	13	provides	provide	VERB
ajmri-633	228	14	the	the	DET
ajmri-633	228	15	information	information	NOUN
ajmri-633	228	16	of	of	ADP
ajmri-633	228	17	different	different	ADJ
ajmri-633	228	18	classifiers	classifier	NOUN
ajmri-633	228	19	after	after	ADP
ajmri-633	228	20	using	use	VERB
ajmri-633	228	21	the	the	DET
ajmri-633	228	22	under	under	ADV
ajmri-633	228	23	-	-	PUNCT
ajmri-633	228	24	sampling	sample	VERB
ajmri-633	228	25	technique	technique	NOUN
ajmri-633	228	26	.	.	PUNCT
ajmri-633	229	1	here	here	ADV
ajmri-633	229	2	,	,	PUNCT
ajmri-633	229	3	random	random	ADJ
ajmri-633	229	4	forest	forest	NOUN
ajmri-633	229	5	and	and	CCONJ
ajmri-633	229	6	k	k	NOUN
ajmri-633	229	7	-	-	PUNCT
ajmri-633	229	8	nearest	near	ADJ
ajmri-633	229	9	neighbor	neighbor	NOUN
ajmri-633	229	10	performed	perform	VERB
ajmri-633	229	11	well	well	ADV
ajmri-633	229	12	.	.	PUNCT
ajmri-633	230	1	the	the	DET
ajmri-633	230	2	recall	recall	NOUN
ajmri-633	230	3	is	be	AUX
ajmri-633	230	4	equal	equal	ADJ
ajmri-633	230	5	between	between	ADP
ajmri-633	230	6	knn	knn	PROPN
ajmri-633	230	7	and	and	CCONJ
ajmri-633	230	8	rf	rf	NOUN
ajmri-633	230	9	respectively	respectively	ADV
ajmri-633	230	10	and	and	CCONJ
ajmri-633	230	11	the	the	DET
ajmri-633	230	12	fpr	fpr	NOUN
ajmri-633	230	13	is	be	AUX
ajmri-633	230	14	and	and	CCONJ
ajmri-633	230	15	1.37	1.37	NUM
ajmri-633	230	16	%	%	NOUN
ajmri-633	230	17	.	.	PUNCT
ajmri-633	231	1	but	but	CCONJ
ajmri-633	231	2	the	the	DET
ajmri-633	231	3	lr	lr	NOUN
ajmri-633	231	4	has	have	VERB
ajmri-633	231	5	a	a	DET
ajmri-633	231	6	higher	high	ADJ
ajmri-633	231	7	precision	precision	NOUN
ajmri-633	231	8	rate	rate	NOUN
ajmri-633	231	9	2.24	2.24	NUM
ajmri-633	231	10	%	%	NOUN
ajmri-633	231	11	and	and	CCONJ
ajmri-633	231	12	1.37	1.37	NUM
ajmri-633	231	13	%	%	NOUN
ajmri-633	231	14	.	.	PUNCT
ajmri-633	232	1	but	but	CCONJ
ajmri-633	232	2	the	the	DET
ajmri-633	232	3	lr	lr	NOUN
ajmri-633	232	4	has	have	VERB
ajmri-633	232	5	a	a	DET
ajmri-633	232	6	higher	high	ADJ
ajmri-633	232	7	precision	precision	NOUN
ajmri-633	232	8	rate	rate	NOUN
ajmri-633	232	9	compared	compare	VERB
ajmri-633	232	10	to	to	ADP
ajmri-633	232	11	other	other	ADJ
ajmri-633	232	12	classification	classification	NOUN
ajmri-633	232	13	methods	method	NOUN
ajmri-633	232	14	.	.	PUNCT
ajmri-633	233	1	table	table	NOUN
ajmri-633	233	2	iv	iv	PRON
ajmri-633	233	3	provides	provide	VERB
ajmri-633	233	4	the	the	DET
ajmri-633	233	5	information	information	NOUN
ajmri-633	233	6	of	of	ADP
ajmri-633	233	7	different	different	ADJ
ajmri-633	233	8	classifiers	classifier	NOUN
ajmri-633	233	9	after	after	ADP
ajmri-633	233	10	using	use	VERB
ajmri-633	233	11	the	the	DET
ajmri-633	233	12	over	over	ADV
ajmri-633	233	13	-	-	PUNCT
ajmri-633	233	14	sampling	sample	VERB
ajmri-633	233	15	technique	technique	NOUN
ajmri-633	233	16	.	.	PUNCT
ajmri-633	234	1	here	here	ADV
ajmri-633	234	2	,	,	PUNCT
ajmri-633	234	3	rf	rf	PRON
ajmri-633	234	4	generates	generate	VERB
ajmri-633	234	5	the	the	DET
ajmri-633	234	6	best	good	ADJ
ajmri-633	234	7	result	result	NOUN
ajmri-633	234	8	compared	compare	VERB
ajmri-633	234	9	to	to	ADP
ajmri-633	234	10	other	other	ADJ
ajmri-633	234	11	classification	classification	NOUN
ajmri-633	234	12	methods	method	NOUN
ajmri-633	234	13	.	.	PUNCT
ajmri-633	235	1	it	it	PRON
ajmri-633	235	2	has	have	VERB
ajmri-633	235	3	higher	high	ADJ
ajmri-633	235	4	accuracy	accuracy	NOUN
ajmri-633	235	5	(	(	PUNCT
ajmri-633	235	6	99.964	99.964	NUM
ajmri-633	235	7	%	%	NOUN
ajmri-633	235	8	)	)	PUNCT
ajmri-633	235	9	,	,	PUNCT
ajmri-633	235	10	precision	precision	NOUN
ajmri-633	235	11	rate	rate	NOUN
ajmri-633	235	12	(	(	PUNCT
ajmri-633	235	13	98.75	98.75	NUM
ajmri-633	235	14	%	%	NOUN
ajmri-633	235	15	)	)	PUNCT
ajmri-633	235	16	,	,	PUNCT
ajmri-633	235	17	recall	recall	INTJ
ajmri-633	235	18	(	(	PUNCT
ajmri-633	235	19	80.61	80.61	NUM
ajmri-633	235	20	%	%	NOUN
ajmri-633	235	21	)	)	PUNCT
ajmri-633	235	22	,	,	PUNCT
ajmri-633	235	23	and	and	CCONJ
ajmri-633	235	24	f1	f1	NOUN
ajmri-633	235	25	-	-	PUNCT
ajmri-633	235	26	score	score	NOUN
ajmri-633	235	27	(	(	PUNCT
ajmri-633	235	28	88.76	88.76	NUM
ajmri-633	235	29	%	%	NOUN
ajmri-633	235	30	)	)	PUNCT
ajmri-633	235	31	.	.	PUNCT
ajmri-633	236	1	the	the	DET
ajmri-633	236	2	error	error	NOUN
ajmri-633	236	3	rate	rate	NOUN
ajmri-633	236	4	(	(	PUNCT
ajmri-633	236	5	0.0017	0.0017	NUM
ajmri-633	236	6	%	%	NOUN
ajmri-633	236	7	)	)	PUNCT
ajmri-633	236	8	is	be	AUX
ajmri-633	236	9	too	too	ADV
ajmri-633	236	10	low	low	ADJ
ajmri-633	236	11	.	.	PUNCT
ajmri-633	237	1	during	during	ADP
ajmri-633	237	2	this	this	DET
ajmri-633	237	3	table	table	NOUN
ajmri-633	237	4	comparison	comparison	NOUN
ajmri-633	237	5	with	with	ADP
ajmri-633	237	6	rf	rf	NOUN
ajmri-633	237	7	,	,	PUNCT
ajmri-633	237	8	knn	knn	PROPN
ajmri-633	237	9	also	also	ADV
ajmri-633	237	10	performed	perform	VERB
ajmri-633	237	11	well	well	ADV
ajmri-633	237	12	but	but	CCONJ
ajmri-633	237	13	knn	knn	PROPN
ajmri-633	237	14	takes	take	VERB
ajmri-633	237	15	more	more	ADJ
ajmri-633	237	16	time	time	NOUN
ajmri-633	237	17	than	than	ADP
ajmri-633	237	18	rf	rf	NOUN
ajmri-633	237	19	.	.	PROPN
ajmri-633	237	20	table	table	NOUN
ajmri-633	237	21	4	4	NUM
ajmri-633	237	22	:	:	PUNCT
ajmri-633	237	23	after	after	ADP
ajmri-633	237	24	applying	apply	VERB
ajmri-633	237	25	over	over	ADP
ajmri-633	237	26	-	-	PUNCT
ajmri-633	237	27	sampling	sample	VERB
ajmri-633	237	28	techniques	technique	NOUN
ajmri-633	237	29	classifiers	classifier	NOUN
ajmri-633	237	30	metrics	metric	NOUN
ajmri-633	237	31	accuracy	accuracy	NOUN
ajmri-633	237	32	precision	precision	NOUN
ajmri-633	237	33	recall	recall	VERB
ajmri-633	237	34	f1	f1	NOUN
ajmri-633	237	35	-	-	PUNCT
ajmri-633	237	36	score	score	NOUN
ajmri-633	237	37	fpr	fpr	NOUN
ajmri-633	237	38	lr	lr	X
ajmri-633	237	39	98.546	98.546	NUM
ajmri-633	237	40	%	%	NOUN
ajmri-633	237	41	9.80	9.80	NUM
ajmri-633	237	42	%	%	NOUN
ajmri-633	237	43	90.81	90.81	NUM
ajmri-633	237	44	%	%	NOUN
ajmri-633	237	45	17.69	17.69	NUM
ajmri-633	237	46	%	%	NOUN
ajmri-633	237	47	1.44	1.44	NUM
ajmri-633	237	48	%	%	NOUN
ajmri-633	237	49	dt	dt	NOUN
ajmri-633	237	50	96.209	96.209	NUM
ajmri-633	237	51	%	%	NOUN
ajmri-633	237	52	03.76	03.76	NUM
ajmri-633	237	53	%	%	NOUN
ajmri-633	237	54	85.71	85.71	NUM
ajmri-633	237	55	%	%	NOUN
ajmri-633	237	56	07.21	07.21	NUM
ajmri-633	237	57	%	%	NOUN
ajmri-633	237	58	03.77	03.77	NUM
ajmri-633	237	59	%	%	NOUN
ajmri-633	237	60	knn	knn	PROPN
ajmri-633	237	61	99.915	99.915	NUM
ajmri-633	237	62	%	%	NOUN
ajmri-633	237	63	70.83	70.83	NUM
ajmri-633	237	64	%	%	NOUN
ajmri-633	237	65	86.73	86.73	NUM
ajmri-633	237	66	%	%	NOUN
ajmri-633	237	67	77.98	77.98	NUM
ajmri-633	237	68	%	%	NOUN
ajmri-633	237	69	0.06	0.06	NUM
ajmri-633	237	70	%	%	NOUN
ajmri-633	237	71	rf	rf	NOUN
ajmri-633	237	72	99.964	99.964	NUM
ajmri-633	237	73	%	%	NOUN
ajmri-633	237	74	98.75	98.75	NUM
ajmri-633	237	75	%	%	NOUN
ajmri-633	237	76	80.61	80.61	NUM
ajmri-633	237	77	%	%	NOUN
ajmri-633	237	78	88.76	88.76	NUM
ajmri-633	237	79	%	%	NOUN
ajmri-633	237	80	0.001	0.001	NUM
ajmri-633	237	81	%	%	NOUN
ajmri-633	237	82	nb	nb	NOUN
ajmri-633	237	83	97.349	97.349	NUM
ajmri-633	237	84	%	%	NOUN
ajmri-633	237	85	05.37	05.37	NUM
ajmri-633	237	86	%	%	NOUN
ajmri-633	237	87	86.73	86.73	NUM
ajmri-633	237	88	%	%	NOUN
ajmri-633	237	89	10.11	10.11	NUM
ajmri-633	237	90	%	%	NOUN
ajmri-633	237	91	02.63	02.63	NUM
ajmri-633	237	92	%	%	NOUN
ajmri-633	237	93	table	table	NOUN
ajmri-633	237	94	5	5	NUM
ajmri-633	237	95	:	:	PUNCT
ajmri-633	237	96	after	after	ADP
ajmri-633	237	97	applying	apply	VERB
ajmri-633	237	98	over	over	ADP
ajmri-633	237	99	-	-	PUNCT
ajmri-633	237	100	sampling	sample	VERB
ajmri-633	237	101	techniques	technique	NOUN
ajmri-633	237	102	classifiers	classifier	NOUN
ajmri-633	237	103	metrics	metric	NOUN
ajmri-633	237	104	accuracy	accuracy	NOUN
ajmri-633	237	105	precision	precision	NOUN
ajmri-633	237	106	recall	recall	VERB
ajmri-633	237	107	f1	f1	NOUN
ajmri-633	237	108	-	-	PUNCT
ajmri-633	237	109	score	score	NOUN
ajmri-633	237	110	fpr	fpr	NOUN
ajmri-633	237	111	lr	lr	X
ajmri-633	237	112	98.439	98.439	NUM
ajmri-633	237	113	%	%	NOUN
ajmri-633	237	114	9.18	9.18	NUM
ajmri-633	237	115	%	%	NOUN
ajmri-633	237	116	90.81	90.81	NUM
ajmri-633	237	117	%	%	NOUN
ajmri-633	237	118	0.68	0.68	NUM
ajmri-633	237	119	%	%	NOUN
ajmri-633	237	120	1.54	1.54	NUM
ajmri-633	237	121	%	%	NOUN
ajmri-633	237	122	dt	dt	NOUN
ajmri-633	237	123	96.209	96.209	NUM
ajmri-633	237	124	%	%	NOUN
ajmri-633	237	125	03.80	03.80	NUM
ajmri-633	237	126	%	%	NOUN
ajmri-633	237	127	86.73	86.73	NUM
ajmri-633	237	128	%	%	NOUN
ajmri-633	237	129	07.29	07.29	NUM
ajmri-633	237	130	%	%	NOUN
ajmri-633	237	131	03.77	03.77	NUM
ajmri-633	237	132	%	%	NOUN
ajmri-633	237	133	knn	knn	NOUN
ajmri-633	237	134	99.808	99.808	NUM
ajmri-633	237	135	%	%	NOUN
ajmri-633	237	136	46.99	46.99	NUM
ajmri-633	237	137	%	%	NOUN
ajmri-633	237	138	87.75	87.75	NUM
ajmri-633	237	139	%	%	NOUN
ajmri-633	237	140	61.20	61.20	NUM
ajmri-633	237	141	%	%	NOUN
ajmri-633	237	142	0.17	0.17	NUM
ajmri-633	237	143	%	%	NOUN
ajmri-633	237	144	rf	rf	NOUN
ajmri-633	237	145	99.965	99.965	NUM
ajmri-633	237	146	%	%	NOUN
ajmri-633	237	147	91.30	91.30	NUM
ajmri-633	237	148	%	%	NOUN
ajmri-633	237	149	85.71	85.71	NUM
ajmri-633	237	150	%	%	NOUN
ajmri-633	237	151	88.421	88.421	NUM
ajmri-633	237	152	%	%	NOUN
ajmri-633	237	153	0.014	0.014	NUM
ajmri-633	237	154	%	%	NOUN
ajmri-633	237	155	nb	nb	NOUN
ajmri-633	237	156	97.394	97.394	NUM
ajmri-633	237	157	%	%	NOUN
ajmri-633	237	158	05.46	05.46	NUM
ajmri-633	237	159	%	%	NOUN
ajmri-633	237	160	86.73	86.73	NUM
ajmri-633	237	161	%	%	NOUN
ajmri-633	237	162	1.027	1.027	NUM
ajmri-633	237	163	%	%	NOUN
ajmri-633	237	164	02.58	02.58	NUM
ajmri-633	237	165	%	%	NOUN
ajmri-633	237	166	table	table	NOUN
ajmri-633	237	167	v	v	NOUN
ajmri-633	237	168	provides	provide	VERB
ajmri-633	237	169	the	the	DET
ajmri-633	237	170	information	information	NOUN
ajmri-633	237	171	of	of	ADP
ajmri-633	237	172	different	different	ADJ
ajmri-633	237	173	classifiers	classifier	NOUN
ajmri-633	237	174	after	after	ADP
ajmri-633	237	175	using	use	VERB
ajmri-633	237	176	the	the	DET
ajmri-633	237	177	smote	smote	ADJ
ajmri-633	237	178	technique	technique	NOUN
ajmri-633	237	179	.	.	PUNCT
ajmri-633	238	1	here	here	ADV
ajmri-633	238	2	,	,	PUNCT
ajmri-633	238	3	rf	rf	PRON
ajmri-633	238	4	performed	perform	VERB
ajmri-633	238	5	well	well	ADV
ajmri-633	238	6	compared	compare	VERB
ajmri-633	238	7	to	to	ADP
ajmri-633	238	8	other	other	ADJ
ajmri-633	238	9	classifiers	classifier	NOUN
ajmri-633	238	10	.	.	PUNCT
ajmri-633	239	1	in	in	ADP
ajmri-633	239	2	smote	smote	ADJ
ajmri-633	239	3	,	,	PUNCT
ajmri-633	239	4	rf	rf	PRON
ajmri-633	239	5	has	have	VERB
ajmri-633	239	6	higher	high	ADJ
ajmri-633	239	7	accuracy	accuracy	NOUN
ajmri-633	239	8	(	(	PUNCT
ajmri-633	239	9	99.965	99.965	NUM
ajmri-633	239	10	%	%	NOUN
ajmri-633	239	11	)	)	PUNCT
ajmri-633	239	12	,	,	PUNCT
ajmri-633	239	13	precision	precision	NOUN
ajmri-633	239	14	(	(	PUNCT
ajmri-633	239	15	91.30	91.30	NUM
ajmri-633	239	16	%	%	NOUN
ajmri-633	239	17	)	)	PUNCT
ajmri-633	239	18	,	,	PUNCT
ajmri-633	239	19	recall	recall	INTJ
ajmri-633	239	20	(	(	PUNCT
ajmri-633	239	21	85.71	85.71	NUM
ajmri-633	239	22	%	%	NOUN
ajmri-633	239	23	)	)	PUNCT
ajmri-633	239	24	,	,	PUNCT
ajmri-633	239	25	f1	f1	NOUN
ajmri-633	239	26	-	-	PUNCT
ajmri-633	239	27	score	score	NOUN
ajmri-633	239	28	(	(	PUNCT
ajmri-633	239	29	88.421	88.421	NUM
ajmri-633	239	30	%	%	NOUN
ajmri-633	239	31	)	)	PUNCT
ajmri-633	239	32	and	and	CCONJ
ajmri-633	239	33	lower	low	ADJ
ajmri-633	239	34	fpr	fpr	NOUN
ajmri-633	239	35	(	(	PUNCT
ajmri-633	239	36	0.014	0.014	NUM
ajmri-633	239	37	%	%	NOUN
ajmri-633	239	38	)	)	PUNCT
ajmri-633	239	39	.	.	PUNCT
ajmri-633	240	1	table	table	NOUN
ajmri-633	240	2	vi	vi	PROPN
ajmri-633	240	3	displays	display	VERB
ajmri-633	240	4	the	the	DET
ajmri-633	240	5	adasyn	adasyn	NOUN
ajmri-633	240	6	sampling	sample	VERB
ajmri-633	240	7	techniques	technique	NOUN
ajmri-633	240	8	.	.	PUNCT
ajmri-633	241	1	here	here	ADV
ajmri-633	241	2	,	,	PUNCT
ajmri-633	241	3	https://journals.e-palli.com/home/index.php/ajmri	https://journals.e-palli.com/home/index.php/ajmri	PROPN
ajmri-633	241	4	pa	pa	PROPN
ajmri-633	241	5	ge	ge	PROPN
ajmri-633	241	6	16	16	NUM
ajmri-633	241	7	6	6	NUM
ajmri-633	241	8	https://journals.e-palli.com/home/index.php/ajmri	https://journals.e-palli.com/home/index.php/ajmri	PROPN
ajmri-633	241	9	am	am	NOUN
ajmri-633	241	10	.	.	PUNCT
ajmri-633	242	1	j.	j.	PROPN
ajmri-633	242	2	multidis	multidis	PROPN
ajmri-633	242	3	.	.	PUNCT
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ajmri-633	243	2	.	.	PUNCT
ajmri-633	244	1	innov	innov	PROPN
ajmri-633	244	2	.	.	PUNCT
ajmri-633	245	1	1(4	1(4	NUM
ajmri-633	245	2	)	)	PUNCT
ajmri-633	245	3	150	150	NUM
ajmri-633	245	4	-	-	SYM
ajmri-633	245	5	159	159	NUM
ajmri-633	245	6	,	,	PUNCT
ajmri-633	245	7	2022	2022	NUM
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ajmri-633	245	9	6	6	NUM
ajmri-633	245	10	:	:	PUNCT
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ajmri-633	245	12	applying	apply	VERB
ajmri-633	245	13	adaptive	adaptive	ADJ
ajmri-633	245	14	synthetic	synthetic	ADJ
ajmri-633	245	15	techniques	technique	NOUN
ajmri-633	245	16	classifiers	classifier	NOUN
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ajmri-633	245	18	accuracy	accuracy	NOUN
ajmri-633	245	19	precision	precision	NOUN
ajmri-633	245	20	recall	recall	VERB
ajmri-633	245	21	f1	f1	NOUN
ajmri-633	245	22	-	-	PUNCT
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ajmri-633	245	24	fpr	fpr	NOUN
ajmri-633	245	25	lr	lr	NOUN
ajmri-633	245	26	92.491	92.491	NUM
ajmri-633	245	27	%	%	NOUN
ajmri-633	245	28	02.10	02.10	NUM
ajmri-633	245	29	%	%	NOUN
ajmri-633	245	30	93.87	93.87	NUM
ajmri-633	245	31	%	%	NOUN
ajmri-633	245	32	04.12	04.12	NUM
ajmri-633	245	33	%	%	NOUN
ajmri-633	245	34	07.51	07.51	NUM
ajmri-633	245	35	%	%	NOUN
ajmri-633	245	36	dt	dt	ADP
ajmri-633	245	37	87.802	87.802	NUM
ajmri-633	245	38	%	%	NOUN
ajmri-633	245	39	01.30	01.30	NUM
ajmri-633	245	40	%	%	NOUN
ajmri-633	245	41	93.87	93.87	NUM
ajmri-633	245	42	%	%	NOUN
ajmri-633	245	43	02.57	02.57	NUM
ajmri-633	245	44	%	%	NOUN
ajmri-633	245	45	12.20	12.20	NUM
ajmri-633	245	46	%	%	NOUN
ajmri-633	245	47	knn	knn	PROPN
ajmri-633	245	48	99.808	99.808	NUM
ajmri-633	245	49	%	%	NOUN
ajmri-633	245	50	46.96	46.96	NUM
ajmri-633	245	51	%	%	NOUN
ajmri-633	245	52	86.73	86.73	NUM
ajmri-633	245	53	%	%	NOUN
ajmri-633	245	54	60.93	60.93	NUM
ajmri-633	245	55	%	%	NOUN
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ajmri-633	245	57	%	%	NOUN
ajmri-633	245	58	rf	rf	NUM
ajmri-633	245	59	99.952	99.952	NUM
ajmri-633	245	60	%	%	NOUN
ajmri-633	245	61	89.88	89.88	NUM
ajmri-633	245	62	%	%	NOUN
ajmri-633	245	63	81.63	81.63	NUM
ajmri-633	245	64	%	%	NOUN
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ajmri-633	245	66	%	%	NOUN
ajmri-633	245	67	0.015	0.015	NUM
ajmri-633	245	68	%	%	NOUN
ajmri-633	245	69	nb	nb	NOUN
ajmri-633	245	70	95.884	95.884	NUM
ajmri-633	245	71	%	%	NOUN
ajmri-633	245	72	03.67	03.67	NUM
ajmri-633	245	73	%	%	NOUN
ajmri-633	245	74	90.81	90.81	NUM
ajmri-633	245	75	%	%	NOUN
ajmri-633	245	76	07.05	07.05	NUM
ajmri-633	245	77	%	%	NOUN
ajmri-633	245	78	04.10	04.10	NUM
ajmri-633	245	79	%	%	NOUN
ajmri-633	245	80	rf	rf	PRON
ajmri-633	245	81	has	have	VERB
ajmri-633	245	82	higher	high	ADJ
ajmri-633	245	83	accuracy	accuracy	NOUN
ajmri-633	245	84	(	(	PUNCT
ajmri-633	245	85	99.952	99.952	NUM
ajmri-633	245	86	%	%	NOUN
ajmri-633	245	87	)	)	PUNCT
ajmri-633	245	88	,	,	PUNCT
ajmri-633	245	89	precision	precision	NOUN
ajmri-633	245	90	(	(	PUNCT
ajmri-633	245	91	89.88	89.88	NUM
ajmri-633	245	92	%	%	NOUN
ajmri-633	245	93	)	)	PUNCT
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ajmri-633	245	95	recall	recall	INTJ
ajmri-633	245	96	(	(	PUNCT
ajmri-633	245	97	81.63	81.63	NUM
ajmri-633	245	98	%	%	NOUN
ajmri-633	245	99	)	)	PUNCT
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ajmri-633	245	102	f1	f1	NOUN
ajmri-633	245	103	-	-	PUNCT
ajmri-633	245	104	score	score	NOUN
ajmri-633	245	105	(	(	PUNCT
ajmri-633	245	106	85.56	85.56	NUM
ajmri-633	245	107	%	%	NOUN
ajmri-633	245	108	)	)	PUNCT
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ajmri-633	246	1	it	it	PRON
ajmri-633	246	2	has	have	AUX
ajmri-633	246	3	also	also	ADV
ajmri-633	246	4	lower	low	ADJ
ajmri-633	246	5	false	false	ADJ
ajmri-633	246	6	positive	positive	ADJ
ajmri-633	246	7	rate	rate	NOUN
ajmri-633	246	8	than	than	ADP
ajmri-633	246	9	other	other	ADJ
ajmri-633	246	10	four	four	NUM
ajmri-633	246	11	algorithms	algorithm	NOUN
ajmri-633	246	12	.	.	PUNCT
ajmri-633	247	1	in	in	ADP
ajmri-633	247	2	the	the	DET
ajmri-633	247	3	figure	figure	NOUN
ajmri-633	247	4	6	6	NUM
ajmri-633	247	5	:	:	PUNCT
ajmri-633	247	6	comparison	comparison	NOUN
ajmri-633	247	7	chart	chart	NOUN
ajmri-633	247	8	among	among	ADP
ajmri-633	247	9	four	four	NUM
ajmri-633	247	10	sampling	sample	VERB
ajmri-633	247	11	techniques	technique	NOUN
ajmri-633	247	12	according	accord	VERB
ajmri-633	247	13	to	to	ADP
ajmri-633	247	14	accuracy	accuracy	NOUN
ajmri-633	247	15	figure	figure	NOUN
ajmri-633	247	16	7	7	NUM
ajmri-633	247	17	:	:	PUNCT
ajmri-633	247	18	comparison	comparison	NOUN
ajmri-633	247	19	chart	chart	NOUN
ajmri-633	247	20	among	among	ADP
ajmri-633	247	21	four	four	NUM
ajmri-633	247	22	sampling	sample	VERB
ajmri-633	247	23	techniques	technique	NOUN
ajmri-633	247	24	according	accord	VERB
ajmri-633	247	25	to	to	ADP
ajmri-633	247	26	precision	precision	NOUN
ajmri-633	247	27	figure	figure	NOUN
ajmri-633	247	28	8	8	NUM
ajmri-633	247	29	:	:	PUNCT
ajmri-633	247	30	comparison	comparison	NOUN
ajmri-633	247	31	chart	chart	NOUN
ajmri-633	247	32	among	among	ADP
ajmri-633	247	33	four	four	NUM
ajmri-633	247	34	sampling	sample	VERB
ajmri-633	247	35	techniques	technique	NOUN
ajmri-633	247	36	according	accord	VERB
ajmri-633	247	37	to	to	PART
ajmri-633	247	38	recall	recall	VERB
ajmri-633	247	39	overall	overall	ADJ
ajmri-633	247	40	table	table	NOUN
ajmri-633	247	41	and	and	CCONJ
ajmri-633	247	42	bar	bar	NOUN
ajmri-633	247	43	graph	graph	NOUN
ajmri-633	247	44	analysis	analysis	NOUN
ajmri-633	247	45	,	,	PUNCT
ajmri-633	247	46	smote	smote	NOUN
ajmri-633	247	47	generates	generate	VERB
ajmri-633	247	48	higher	high	ADJ
ajmri-633	247	49	accuracy	accuracy	NOUN
ajmri-633	247	50	in	in	ADP
ajmri-633	247	51	the	the	DET
ajmri-633	247	52	rf	rf	NOUN
ajmri-633	247	53	classifier	classifier	NOUN
ajmri-633	247	54	compared	compare	VERB
ajmri-633	247	55	to	to	ADP
ajmri-633	247	56	other	other	ADJ
ajmri-633	247	57	techniques	technique	NOUN
ajmri-633	247	58	shown	show	VERB
ajmri-633	247	59	in	in	ADP
ajmri-633	247	60	fig.6	fig.6	PROPN
ajmri-633	247	61	.	.	PUNCT
ajmri-633	248	1	in	in	ADP
ajmri-633	248	2	comparison	comparison	NOUN
ajmri-633	248	3	to	to	ADP
ajmri-633	248	4	other	other	ADJ
ajmri-633	248	5	sampling	sample	VERB
ajmri-633	248	6	techniques	technique	NOUN
ajmri-633	248	7	,	,	PUNCT
ajmri-633	248	8	oversampling	oversample	VERB
ajmri-633	248	9	creates	create	VERB
ajmri-633	248	10	the	the	DET
ajmri-633	248	11	highest	high	ADJ
ajmri-633	248	12	precision	precision	NOUN
ajmri-633	248	13	rate	rate	NOUN
ajmri-633	248	14	in	in	ADP
ajmri-633	248	15	the	the	DET
ajmri-633	248	16	rf	rf	NOUN
ajmri-633	248	17	classifier	classifier	NOUN
ajmri-633	248	18	in	in	ADP
ajmri-633	248	19	fig	fig	NOUN
ajmri-633	248	20	.	.	PUNCT
ajmri-633	249	1	7	7	X
ajmri-633	249	2	.	.	X
ajmri-633	249	3	the	the	DET
ajmri-633	249	4	recall	recall	NOUN
ajmri-633	249	5	rate	rate	NOUN
ajmri-633	249	6	of	of	ADP
ajmri-633	249	7	lr	lr	NOUN
ajmri-633	249	8	and	and	CCONJ
ajmri-633	249	9	dt	dt	NOUN
ajmri-633	249	10	is	be	AUX
ajmri-633	249	11	higher	high	ADJ
ajmri-633	249	12	than	than	ADP
ajmri-633	249	13	other	other	ADJ
ajmri-633	249	14	classifiers	classifier	NOUN
ajmri-633	249	15	in	in	ADP
ajmri-633	249	16	fig.8	fig.8	PROPN
ajmri-633	249	17	but	but	CCONJ
ajmri-633	249	18	their	their	PRON
ajmri-633	249	19	precision	precision	NOUN
ajmri-633	249	20	rate	rate	NOUN
ajmri-633	249	21	is	be	AUX
ajmri-633	249	22	comparatively	comparatively	ADV
ajmri-633	249	23	low	low	ADJ
ajmri-633	249	24	.	.	PUNCT
ajmri-633	250	1	not	not	PART
ajmri-633	250	2	only	only	ADV
ajmri-633	250	3	a	a	DET
ajmri-633	250	4	higher	high	ADJ
ajmri-633	250	5	recall	recall	NOUN
ajmri-633	250	6	rate	rate	NOUN
ajmri-633	250	7	is	be	AUX
ajmri-633	250	8	not	not	PART
ajmri-633	250	9	considered	consider	VERB
ajmri-633	250	10	in	in	ADP
ajmri-633	250	11	fraud	fraud	NOUN
ajmri-633	250	12	detection	detection	NOUN
ajmri-633	250	13	but	but	CCONJ
ajmri-633	250	14	also	also	ADV
ajmri-633	250	15	a	a	DET
ajmri-633	250	16	higher	high	ADJ
ajmri-633	250	17	precision	precision	NOUN
ajmri-633	250	18	rate	rate	NOUN
ajmri-633	250	19	also	also	ADV
ajmri-633	250	20	considered	consider	VERB
ajmri-633	250	21	.	.	PUNCT
ajmri-633	251	1	f1	f1	NOUN
ajmri-633	251	2	score	score	NOUN
ajmri-633	251	3	measures	measure	NOUN
ajmri-633	251	4	the	the	DET
ajmri-633	251	5	harmonic	harmonic	ADJ
ajmri-633	251	6	mean	mean	NOUN
ajmri-633	251	7	of	of	ADP
ajmri-633	251	8	precision	precision	NOUN
ajmri-633	251	9	and	and	CCONJ
ajmri-633	251	10	recall	recall	NOUN
ajmri-633	251	11	rate	rate	NOUN
ajmri-633	251	12	.	.	PUNCT
ajmri-633	252	1	in	in	ADP
ajmri-633	252	2	fig.9	fig.9	PROPN
ajmri-633	252	3	smote	smote	NOUN
ajmri-633	252	4	generates	generate	VERB
ajmri-633	252	5	a	a	DET
ajmri-633	252	6	higher	high	ADJ
ajmri-633	252	7	f1	f1	NOUN
ajmri-633	252	8	score	score	NOUN
ajmri-633	252	9	in	in	ADP
ajmri-633	252	10	the	the	DET
ajmri-633	252	11	rf	rf	NOUN
ajmri-633	252	12	classifier	classifier	NOUN
ajmri-633	252	13	.	.	PUNCT
ajmri-633	253	1	the	the	DET
ajmri-633	253	2	rf	rf	NOUN
ajmri-633	253	3	in	in	ADP
ajmri-633	253	4	smote	smote	NOUN
ajmri-633	253	5	creates	create	VERB
ajmri-633	253	6	the	the	DET
ajmri-633	253	7	lowest	low	ADJ
ajmri-633	253	8	false	false	ADJ
ajmri-633	253	9	-	-	PUNCT
ajmri-633	253	10	positive	positive	ADJ
ajmri-633	253	11	rate	rate	NOUN
ajmri-633	253	12	among	among	ADP
ajmri-633	253	13	the	the	DET
ajmri-633	253	14	four	four	NUM
ajmri-633	253	15	sampling	sample	VERB
ajmri-633	253	16	techniques	technique	NOUN
ajmri-633	253	17	shown	show	VERB
ajmri-633	253	18	in	in	ADP
ajmri-633	253	19	fig.10	fig.10	PRON
ajmri-633	253	20	.	.	PUNCT
ajmri-633	254	1	in	in	ADP
ajmri-633	254	2	summary	summary	NOUN
ajmri-633	254	3	,	,	PUNCT
ajmri-633	254	4	random	random	ADJ
ajmri-633	254	5	forest	forest	NOUN
ajmri-633	254	6	always	always	ADV
ajmri-633	254	7	performed	perform	VERB
ajmri-633	254	8	well	well	ADV
ajmri-633	254	9	than	than	ADP
ajmri-633	254	10	other	other	ADJ
ajmri-633	254	11	classifiers	classifier	NOUN
ajmri-633	254	12	in	in	ADP
ajmri-633	254	13	the	the	DET
ajmri-633	254	14	smote	smote	ADJ
ajmri-633	254	15	sampling	sample	VERB
ajmri-633	254	16	technique	technique	NOUN
ajmri-633	254	17	.	.	PUNCT
ajmri-633	255	1	figure	figure	NOUN
ajmri-633	255	2	9	9	NUM
ajmri-633	255	3	:	:	PUNCT
ajmri-633	255	4	comparison	comparison	NOUN
ajmri-633	255	5	chart	chart	NOUN
ajmri-633	255	6	among	among	ADP
ajmri-633	255	7	four	four	NUM
ajmri-633	255	8	sampling	sample	VERB
ajmri-633	255	9	techniques	technique	NOUN
ajmri-633	255	10	according	accord	VERB
ajmri-633	255	11	to	to	ADP
ajmri-633	255	12	f1score	f1score	NOUN
ajmri-633	255	13	figure	figure	NOUN
ajmri-633	255	14	10	10	NUM
ajmri-633	255	15	:	:	PUNCT
ajmri-633	255	16	comparison	comparison	NOUN
ajmri-633	255	17	chart	chart	NOUN
ajmri-633	255	18	among	among	ADP
ajmri-633	255	19	four	four	NUM
ajmri-633	255	20	sampling	sample	VERB
ajmri-633	255	21	techniques	technique	NOUN
ajmri-633	255	22	according	accord	VERB
ajmri-633	255	23	to	to	ADP
ajmri-633	255	24	false	false	ADJ
ajmri-633	255	25	positive	positive	ADJ
ajmri-633	255	26	rate	rate	NOUN
ajmri-633	255	27	https://journals.e-palli.com/home/index.php/ajmri	https://journals.e-palli.com/home/index.php/ajmri	PROPN
ajmri-633	255	28	pa	pa	PROPN
ajmri-633	255	29	ge	ge	PROPN
ajmri-633	255	30	16	16	NUM
ajmri-633	255	31	7	7	NUM
ajmri-633	256	1	https://journals.e-palli.com/home/index.php/ajmri	https://journals.e-palli.com/home/index.php/ajmri	PROPN
ajmri-633	256	2	am	am	NOUN
ajmri-633	256	3	.	.	PUNCT
ajmri-633	257	1	j.	j.	PROPN
ajmri-633	257	2	multidis	multidis	PROPN
ajmri-633	257	3	.	.	PUNCT
ajmri-633	258	1	res	re	NOUN
ajmri-633	258	2	.	.	PUNCT
ajmri-633	259	1	innov	innov	PROPN
ajmri-633	259	2	.	.	PUNCT
ajmri-633	260	1	1(4	1(4	NUM
ajmri-633	260	2	)	)	PUNCT
ajmri-633	260	3	150	150	NUM
ajmri-633	260	4	-	-	SYM
ajmri-633	260	5	159	159	NUM
ajmri-633	260	6	,	,	PUNCT
ajmri-633	260	7	2022	2022	NUM
ajmri-633	260	8	table	table	NOUN
ajmri-633	260	9	7	7	NUM
ajmri-633	260	10	shows	show	VERB
ajmri-633	260	11	that	that	SCONJ
ajmri-633	260	12	the	the	DET
ajmri-633	260	13	comparison	comparison	NOUN
ajmri-633	260	14	between	between	ADP
ajmri-633	260	15	proposed	propose	VERB
ajmri-633	260	16	and	and	CCONJ
ajmri-633	260	17	previous	previous	ADJ
ajmri-633	260	18	methods	method	NOUN
ajmri-633	260	19	(	(	PUNCT
ajmri-633	260	20	varmedja	varmedja	PROPN
ajmri-633	260	21	,	,	PUNCT
ajmri-633	260	22	et	et	PROPN
ajmri-633	260	23	al	al	PROPN
ajmri-633	260	24	.	.	PROPN
ajmri-633	260	25	,	,	PUNCT
ajmri-633	260	26	2019	2019	NUM
ajmri-633	260	27	)	)	PUNCT
ajmri-633	260	28	performance	performance	NOUN
ajmri-633	260	29	.	.	PUNCT
ajmri-633	261	1	the	the	DET
ajmri-633	261	2	main	main	ADJ
ajmri-633	261	3	focus	focus	NOUN
ajmri-633	261	4	of	of	ADP
ajmri-633	261	5	this	this	DET
ajmri-633	261	6	table	table	NOUN
ajmri-633	261	7	is	be	AUX
ajmri-633	261	8	the	the	DET
ajmri-633	261	9	recall	recall	NOUN
ajmri-633	261	10	rate	rate	NOUN
ajmri-633	261	11	.	.	PUNCT
ajmri-633	262	1	a	a	DET
ajmri-633	262	2	high	high	ADJ
ajmri-633	262	3	recall	recall	NOUN
ajmri-633	262	4	rate	rate	NOUN
ajmri-633	262	5	means	mean	VERB
ajmri-633	262	6	how	how	SCONJ
ajmri-633	262	7	accurately	accurately	ADV
ajmri-633	262	8	a	a	DET
ajmri-633	262	9	model	model	NOUN
ajmri-633	262	10	can	can	AUX
ajmri-633	262	11	detect	detect	VERB
ajmri-633	262	12	frauds	fraud	NOUN
ajmri-633	262	13	.	.	PUNCT
ajmri-633	263	1	in	in	ADP
ajmri-633	263	2	the	the	DET
ajmri-633	263	3	proposed	propose	VERB
ajmri-633	263	4	method	method	NOUN
ajmri-633	263	5	,	,	PUNCT
ajmri-633	263	6	acquired	acquire	VERB
ajmri-633	263	7	a	a	DET
ajmri-633	263	8	higher	high	ADJ
ajmri-633	263	9	recall	recall	NOUN
ajmri-633	263	10	rate	rate	NOUN
ajmri-633	263	11	(	(	PUNCT
ajmri-633	263	12	85.71	85.71	NUM
ajmri-633	263	13	%	%	NOUN
ajmri-633	263	14	)	)	PUNCT
ajmri-633	263	15	than	than	ADP
ajmri-633	263	16	the	the	DET
ajmri-633	263	17	previous	previous	ADJ
ajmri-633	263	18	method	method	NOUN
ajmri-633	263	19	(	(	PUNCT
ajmri-633	263	20	81.63	81.63	NUM
ajmri-633	263	21	%	%	NOUN
ajmri-633	263	22	)	)	PUNCT
ajmri-633	263	23	.	.	PUNCT
ajmri-633	264	1	in	in	ADP
ajmri-633	264	2	cost	cost	NOUN
ajmri-633	264	3	-	-	PUNCT
ajmri-633	264	4	sensitive	sensitive	ADJ
ajmri-633	264	5	issues	issue	NOUN
ajmri-633	264	6	,	,	PUNCT
ajmri-633	264	7	a	a	DET
ajmri-633	264	8	higher	high	ADJ
ajmri-633	264	9	recall	recall	NOUN
ajmri-633	264	10	rate	rate	NOUN
ajmri-633	264	11	leads	lead	VERB
ajmri-633	264	12	to	to	ADP
ajmri-633	264	13	a	a	DET
ajmri-633	264	14	lower	low	ADJ
ajmri-633	264	15	loss	loss	NOUN
ajmri-633	264	16	of	of	ADP
ajmri-633	264	17	money	money	NOUN
ajmri-633	264	18	.	.	PUNCT
ajmri-633	265	1	from	from	ADP
ajmri-633	265	2	figure-11	figure-11	PROPN
ajmri-633	265	3	,	,	PUNCT
ajmri-633	265	4	see	see	VERB
ajmri-633	265	5	the	the	DET
ajmri-633	265	6	comparison	comparison	NOUN
ajmri-633	265	7	be	be	AUX
ajmri-633	265	8	utilized	utilize	VERB
ajmri-633	265	9	to	to	PART
ajmri-633	265	10	increase	increase	VERB
ajmri-633	265	11	the	the	DET
ajmri-633	265	12	suggested	suggested	ADJ
ajmri-633	265	13	model	model	NOUN
ajmri-633	265	14	’s	’s	PART
ajmri-633	265	15	accuracy	accuracy	NOUN
ajmri-633	265	16	.	.	PUNCT
ajmri-633	266	1	references	reference	NOUN
ajmri-633	266	2	asha	asha	PROPN
ajmri-633	266	3	,	,	PUNCT
ajmri-633	266	4	r.	r.	PROPN
ajmri-633	266	5	b.	b.	PROPN
ajmri-633	266	6	,	,	PUNCT
ajmri-633	266	7	&	&	CCONJ
ajmri-633	266	8	kr	kr	PROPN
ajmri-633	266	9	,	,	PUNCT
ajmri-633	266	10	s.	s.	PROPN
ajmri-633	266	11	k.	k.	PROPN
ajmri-633	266	12	(	(	PUNCT
ajmri-633	266	13	2021	2021	NUM
ajmri-633	266	14	)	)	PUNCT
ajmri-633	266	15	.	.	PUNCT
ajmri-633	267	1	credit	credit	NOUN
ajmri-633	267	2	card	card	NOUN
ajmri-633	267	3	fraud	fraud	NOUN
ajmri-633	267	4	detection	detection	NOUN
ajmri-633	267	5	using	use	VERB
ajmri-633	267	6	artificial	artificial	ADJ
ajmri-633	267	7	neural	neural	ADJ
ajmri-633	267	8	network	network	NOUN
ajmri-633	267	9	.	.	PUNCT
ajmri-633	268	1	global	global	ADJ
ajmri-633	268	2	transitions	transition	NOUN
ajmri-633	268	3	proceedings	proceeding	NOUN
ajmri-633	268	4	,	,	PUNCT
ajmri-633	268	5	2(1	2(1	NUM
ajmri-633	268	6	)	)	PUNCT
ajmri-633	268	7	,	,	PUNCT
ajmri-633	268	8	35	35	NUM
ajmri-633	268	9	-	-	SYM
ajmri-633	268	10	41	41	NUM
ajmri-633	268	11	.	.	PUNCT
ajmri-633	269	1	https://doi.org/10.1016/j	https://doi.org/10.1016/j	NOUN
ajmri-633	269	2	.	.	PUNCT
ajmri-633	270	1	gltp.2021.01.006	gltp.2021.01.006	NOUN
ajmri-633	270	2	awoyemi	awoyemi	PROPN
ajmri-633	270	3	,	,	PUNCT
ajmri-633	270	4	j.	j.	PROPN
ajmri-633	270	5	o.	o.	PROPN
ajmri-633	270	6	,	,	PUNCT
ajmri-633	270	7	adetunmbi	adetunmbi	PROPN
ajmri-633	270	8	,	,	PUNCT
ajmri-633	270	9	a.	a.	NOUN
ajmri-633	270	10	o.	o.	PROPN
ajmri-633	270	11	,	,	PUNCT
ajmri-633	270	12	&	&	CCONJ
ajmri-633	270	13	oluwadare	oluwadare	NOUN
ajmri-633	270	14	,	,	PUNCT
ajmri-633	270	15	s.	s.	PROPN
ajmri-633	270	16	a.	a.	PROPN
ajmri-633	270	17	(	(	PUNCT
ajmri-633	270	18	2017	2017	NUM
ajmri-633	270	19	,	,	PUNCT
ajmri-633	270	20	october	october	PROPN
ajmri-633	270	21	)	)	PUNCT
ajmri-633	270	22	.	.	PUNCT
ajmri-633	271	1	credit	credit	NOUN
ajmri-633	271	2	card	card	NOUN
ajmri-633	271	3	fraud	fraud	NOUN
ajmri-633	271	4	detection	detection	NOUN
ajmri-633	271	5	using	use	VERB
ajmri-633	271	6	machine	machine	NOUN
ajmri-633	271	7	learning	learn	VERB
ajmri-633	271	8	techniques	technique	NOUN
ajmri-633	271	9	:	:	PUNCT
ajmri-633	271	10	a	a	DET
ajmri-633	271	11	comparative	comparative	ADJ
ajmri-633	271	12	analysis	analysis	NOUN
ajmri-633	271	13	.	.	PUNCT
ajmri-633	272	1	in	in	ADP
ajmri-633	272	2	2017	2017	NUM
ajmri-633	272	3	international	international	ADJ
ajmri-633	272	4	conference	conference	NOUN
ajmri-633	272	5	on	on	ADP
ajmri-633	272	6	computing	compute	VERB
ajmri-633	272	7	networking	networking	NOUN
ajmri-633	272	8	and	and	CCONJ
ajmri-633	272	9	informatics	informatic	NOUN
ajmri-633	272	10	(	(	PUNCT
ajmri-633	272	11	iccni	iccni	ADJ
ajmri-633	272	12	)	)	PUNCT
ajmri-633	272	13	,	,	PUNCT
ajmri-633	272	14	1	1	NUM
ajmri-633	272	15	-	-	SYM
ajmri-633	272	16	9	9	NUM
ajmri-633	272	17	.	.	X
ajmri-633	272	18	ali	ali	PROPN
ajmri-633	272	19	,	,	PUNCT
ajmri-633	272	20	a.	a.	PROPN
ajmri-633	272	21	,	,	PUNCT
ajmri-633	272	22	shamsuddin	shamsuddin	PROPN
ajmri-633	272	23	,	,	PUNCT
ajmri-633	272	24	s.	s.	PROPN
ajmri-633	272	25	m.	m.	PROPN
ajmri-633	272	26	,	,	PUNCT
ajmri-633	272	27	&	&	CCONJ
ajmri-633	272	28	ralescu	ralescu	NOUN
ajmri-633	272	29	,	,	PUNCT
ajmri-633	272	30	a.	a.	PROPN
ajmri-633	272	31	l.	l.	PROPN
ajmri-633	272	32	(	(	PUNCT
ajmri-633	272	33	2013	2013	NUM
ajmri-633	272	34	)	)	PUNCT
ajmri-633	272	35	.	.	PUNCT
ajmri-633	273	1	classification	classification	NOUN
ajmri-633	273	2	with	with	ADP
ajmri-633	273	3	class	class	NOUN
ajmri-633	273	4	imbalance	imbalance	NOUN
ajmri-633	273	5	problem	problem	NOUN
ajmri-633	273	6	.	.	PUNCT
ajmri-633	274	1	int	int	NOUN
ajmri-633	274	2	.	.	PUNCT
ajmri-633	275	1	j.	j.	PROPN
ajmri-633	275	2	advance	advance	VERB
ajmri-633	275	3	soft	soft	ADJ
ajmri-633	275	4	compu	compu	PROPN
ajmri-633	275	5	.	.	PUNCT
ajmri-633	276	1	appl	appl	PROPN
ajmri-633	276	2	,	,	PUNCT
ajmri-633	276	3	5(3	5(3	NUM
ajmri-633	276	4	)	)	PUNCT
ajmri-633	276	5	.	.	PUNCT
ajmri-633	277	1	azhan	azhan	PROPN
ajmri-633	277	2	,	,	PUNCT
ajmri-633	277	3	m.	m.	NOUN
ajmri-633	277	4	,	,	PUNCT
ajmri-633	277	5	&	&	CCONJ
ajmri-633	277	6	meraj	meraj	NOUN
ajmri-633	277	7	,	,	PUNCT
ajmri-633	277	8	s.	s.	PROPN
ajmri-633	277	9	(	(	PUNCT
ajmri-633	277	10	2020	2020	NUM
ajmri-633	277	11	,	,	PUNCT
ajmri-633	277	12	december	december	PROPN
ajmri-633	277	13	)	)	PUNCT
ajmri-633	277	14	.	.	PUNCT
ajmri-633	278	1	credit	credit	NOUN
ajmri-633	278	2	card	card	NOUN
ajmri-633	278	3	fraud	fraud	NOUN
ajmri-633	278	4	detection	detection	NOUN
ajmri-633	278	5	using	use	VERB
ajmri-633	278	6	machine	machine	NOUN
ajmri-633	278	7	learning	learning	NOUN
ajmri-633	278	8	and	and	CCONJ
ajmri-633	278	9	deep	deep	ADJ
ajmri-633	278	10	learning	learning	NOUN
ajmri-633	278	11	techniques	technique	NOUN
ajmri-633	278	12	.	.	PUNCT
ajmri-633	279	1	in	in	ADP
ajmri-633	279	2	2020	2020	NUM
ajmri-633	279	3	3rd	3rd	ADJ
ajmri-633	279	4	international	international	ADJ
ajmri-633	279	5	conference	conference	NOUN
ajmri-633	279	6	on	on	ADP
ajmri-633	279	7	intelligent	intelligent	ADJ
ajmri-633	279	8	sustainable	sustainable	ADJ
ajmri-633	279	9	systems	system	NOUN
ajmri-633	279	10	(	(	PUNCT
ajmri-633	279	11	iciss	iciss	PROPN
ajmri-633	279	12	)	)	PUNCT
ajmri-633	279	13	,	,	PUNCT
ajmri-633	279	14	514	514	NUM
ajmri-633	279	15	-	-	SYM
ajmri-633	279	16	518	518	NUM
ajmri-633	279	17	.	.	PUNCT
ajmri-633	279	18	alam	alam	PROPN
ajmri-633	279	19	,	,	PUNCT
ajmri-633	279	20	t.	t.	PROPN
ajmri-633	279	21	m.	m.	PROPN
ajmri-633	279	22	,	,	PUNCT
ajmri-633	279	23	shaukat	shaukat	PROPN
ajmri-633	279	24	,	,	PUNCT
ajmri-633	279	25	k.	k.	PROPN
ajmri-633	279	26	,	,	PUNCT
ajmri-633	279	27	hameed	hameed	PROPN
ajmri-633	279	28	,	,	PUNCT
ajmri-633	279	29	i.	i.	PROPN
ajmri-633	279	30	a.	a.	PROPN
ajmri-633	279	31	,	,	PUNCT
ajmri-633	279	32	luo	luo	PROPN
ajmri-633	279	33	,	,	PUNCT
ajmri-633	279	34	s.	s.	PROPN
ajmri-633	279	35	,	,	PUNCT
ajmri-633	279	36	sarwar	sarwar	PROPN
ajmri-633	279	37	,	,	PUNCT
ajmri-633	279	38	m.	m.	NOUN
ajmri-633	279	39	u.	u.	PROPN
ajmri-633	279	40	,	,	PUNCT
ajmri-633	279	41	shabbir	shabbir	PROPN
ajmri-633	279	42	,	,	PUNCT
ajmri-633	279	43	s.	s.	PROPN
ajmri-633	279	44	,	,	PUNCT
ajmri-633	279	45	...	...	PUNCT
ajmri-633	279	46	&	&	CCONJ
ajmri-633	279	47	khushi	khushi	PROPN
ajmri-633	279	48	,	,	PUNCT
ajmri-633	279	49	m.	m.	NOUN
ajmri-633	279	50	(	(	PUNCT
ajmri-633	279	51	2020	2020	NUM
ajmri-633	279	52	)	)	PUNCT
ajmri-633	279	53	.	.	PUNCT
ajmri-633	280	1	an	an	DET
ajmri-633	280	2	investigation	investigation	NOUN
ajmri-633	280	3	of	of	ADP
ajmri-633	280	4	credit	credit	NOUN
ajmri-633	280	5	card	card	NOUN
ajmri-633	280	6	default	default	NOUN
ajmri-633	280	7	prediction	prediction	NOUN
ajmri-633	280	8	in	in	ADP
ajmri-633	280	9	the	the	DET
ajmri-633	280	10	imbalanced	imbalanced	ADJ
ajmri-633	280	11	datasets	dataset	NOUN
ajmri-633	280	12	.	.	PUNCT
ajmri-633	281	1	ieee	ieee	NOUN
ajmri-633	281	2	access	access	NOUN
ajmri-633	281	3	,	,	PUNCT
ajmri-633	281	4	8	8	NUM
ajmri-633	281	5	,	,	PUNCT
ajmri-633	281	6	201173	201173	NUM
ajmri-633	281	7	-	-	SYM
ajmri-633	281	8	201198	201198	NUM
ajmri-633	281	9	bansal	bansal	NOUN
ajmri-633	281	10	,	,	PUNCT
ajmri-633	281	11	a.	a.	PROPN
ajmri-633	281	12	,	,	PUNCT
ajmri-633	281	13	&	&	CCONJ
ajmri-633	281	14	garg	garg	PROPN
ajmri-633	281	15	,	,	PUNCT
ajmri-633	281	16	h.	h.	PROPN
ajmri-633	281	17	(	(	PUNCT
ajmri-633	281	18	2021	2021	NUM
ajmri-633	281	19	,	,	PUNCT
ajmri-633	281	20	april	april	PROPN
ajmri-633	281	21	)	)	PUNCT
ajmri-633	281	22	.	.	PUNCT
ajmri-633	282	1	an	an	DET
ajmri-633	282	2	efficient	efficient	ADJ
ajmri-633	282	3	techniques	technique	NOUN
ajmri-633	282	4	for	for	ADP
ajmri-633	282	5	fraudulent	fraudulent	ADJ
ajmri-633	282	6	detection	detection	NOUN
ajmri-633	282	7	in	in	ADP
ajmri-633	282	8	credit	credit	NOUN
ajmri-633	282	9	card	card	NOUN
ajmri-633	282	10	dataset	dataset	NOUN
ajmri-633	282	11	:	:	PUNCT
ajmri-633	282	12	a	a	DET
ajmri-633	282	13	comprehensive	comprehensive	ADJ
ajmri-633	282	14	study	study	NOUN
ajmri-633	282	15	.	.	PUNCT
ajmri-633	283	1	in	in	ADP
ajmri-633	283	2	iop	iop	PROPN
ajmri-633	283	3	conference	conference	NOUN
ajmri-633	283	4	series	series	NOUN
ajmri-633	283	5	:	:	PUNCT
ajmri-633	283	6	materials	material	NOUN
ajmri-633	283	7	science	science	NOUN
ajmri-633	283	8	and	and	CCONJ
ajmri-633	283	9	engineering	engineering	NOUN
ajmri-633	283	10	,	,	PUNCT
ajmri-633	283	11	iop	iop	PROPN
ajmri-633	283	12	publishin	publishin	PROPN
ajmri-633	283	13	,	,	PUNCT
ajmri-633	283	14	1116(1	1116(1	NUM
ajmri-633	283	15	)	)	PUNCT
ajmri-633	283	16	,	,	PUNCT
ajmri-633	283	17	012181	012181	NUM
ajmri-633	283	18	)	)	PUNCT
ajmri-633	283	19	.	.	PUNCT
ajmri-633	284	1	dighe	dighe	PROPN
ajmri-633	284	2	,	,	PUNCT
ajmri-633	284	3	d.	d.	PROPN
ajmri-633	284	4	,	,	PUNCT
ajmri-633	284	5	patil	patil	PROPN
ajmri-633	284	6	,	,	PUNCT
ajmri-633	284	7	s.	s.	PROPN
ajmri-633	284	8	,	,	PUNCT
ajmri-633	284	9	&	&	CCONJ
ajmri-633	284	10	kokate	kokate	PROPN
ajmri-633	284	11	,	,	PUNCT
ajmri-633	284	12	s.	s.	PROPN
ajmri-633	284	13	(	(	PUNCT
ajmri-633	284	14	2018	2018	NUM
ajmri-633	284	15	,	,	PUNCT
ajmri-633	284	16	august	august	PROPN
ajmri-633	284	17	)	)	PUNCT
ajmri-633	284	18	.	.	PUNCT
ajmri-633	285	1	detection	detection	NOUN
ajmri-633	285	2	of	of	ADP
ajmri-633	285	3	credit	credit	NOUN
ajmri-633	285	4	card	card	NOUN
ajmri-633	285	5	fraud	fraud	NOUN
ajmri-633	285	6	transactions	transaction	NOUN
ajmri-633	285	7	using	use	VERB
ajmri-633	285	8	machine	machine	NOUN
ajmri-633	285	9	learning	learn	VERB
ajmri-633	285	10	algorithms	algorithm	NOUN
ajmri-633	285	11	and	and	CCONJ
ajmri-633	285	12	neural	neural	ADJ
ajmri-633	285	13	networks	network	NOUN
ajmri-633	285	14	:	:	PUNCT
ajmri-633	285	15	a	a	DET
ajmri-633	285	16	comparative	comparative	ADJ
ajmri-633	285	17	study	study	NOUN
ajmri-633	285	18	.	.	PUNCT
ajmri-633	286	1	in	in	ADP
ajmri-633	286	2	2018	2018	NUM
ajmri-633	286	3	fourth	fourth	ADJ
ajmri-633	286	4	international	international	ADJ
ajmri-633	286	5	conference	conference	NOUN
ajmri-633	286	6	on	on	ADP
ajmri-633	286	7	computing	compute	VERB
ajmri-633	286	8	communication	communication	NOUN
ajmri-633	286	9	control	control	NOUN
ajmri-633	286	10	and	and	CCONJ
ajmri-633	286	11	automation	automation	NOUN
ajmri-633	286	12	(	(	PUNCT
ajmri-633	286	13	iccubea	iccubea	NOUN
ajmri-633	286	14	)	)	PUNCT
ajmri-633	286	15	,	,	PUNCT
ajmri-633	286	16	1	1	NUM
ajmri-633	286	17	-	-	SYM
ajmri-633	286	18	6	6	NUM
ajmri-633	286	19	.	.	PUNCT
ajmri-633	286	20	ema	ema	PROPN
ajmri-633	286	21	rr	rr	PROPN
ajmri-633	286	22	,	,	PUNCT
ajmri-633	286	23	akhi	akhi	PROPN
ajmri-633	286	24	khatun	khatun	PROPN
ajmri-633	286	25	m	m	PROPN
ajmri-633	286	26	,	,	PUNCT
ajmri-633	286	27	hossain	hossain	PROPN
ajmri-633	286	28	a	a	PRON
ajmri-633	286	29	,	,	PUNCT
ajmri-633	286	30	akhond	akhond	PROPN
ajmri-633	286	31	mr	mr	PROPN
ajmri-633	286	32	,	,	PUNCT
ajmri-633	286	33	hossain	hossain	PROPN
ajmri-633	286	34	n	n	PART
ajmri-633	286	35	,	,	PUNCT
ajmri-633	286	36	arafat	arafat	PROPN
ajmri-633	286	37	my.(2022	my.(2022	PROPN
ajmri-633	286	38	)	)	PUNCT
ajmri-633	286	39	.	.	PUNCT
ajmri-633	287	1	protein	protein	NOUN
ajmri-633	287	2	secondary	secondary	ADJ
ajmri-633	287	3	structure	structure	NOUN
ajmri-633	287	4	prediction	prediction	NOUN
ajmri-633	287	5	using	use	VERB
ajmri-633	287	6	hybrid	hybrid	ADJ
ajmri-633	287	7	recurrent	recurrent	ADJ
ajmri-633	287	8	neural	neural	ADJ
ajmri-633	287	9	networks	network	NOUN
ajmri-633	287	10	.	.	PUNCT
ajmri-633	288	1	hordri	hordri	PROPN
ajmri-633	288	2	,	,	PUNCT
ajmri-633	288	3	n.	n.	PROPN
ajmri-633	288	4	f.	f.	PROPN
ajmri-633	288	5	,	,	PUNCT
ajmri-633	288	6	yuhaniz	yuhaniz	PROPN
ajmri-633	288	7	,	,	PUNCT
ajmri-633	288	8	s.	s.	PROPN
ajmri-633	288	9	s.	s.	PROPN
ajmri-633	288	10	,	,	PUNCT
ajmri-633	288	11	azmi	azmi	PROPN
ajmri-633	288	12	,	,	PUNCT
ajmri-633	288	13	n.	n.	PROPN
ajmri-633	288	14	f.	f.	PROPN
ajmri-633	288	15	m.	m.	PROPN
ajmri-633	288	16	,	,	PUNCT
ajmri-633	288	17	&	&	CCONJ
ajmri-633	288	18	shamsuddin	shamsuddin	PROPN
ajmri-633	288	19	,	,	PUNCT
ajmri-633	288	20	s.	s.	PROPN
ajmri-633	288	21	m.	m.	PROPN
ajmri-633	288	22	(	(	PUNCT
ajmri-633	288	23	2018	2018	NUM
ajmri-633	288	24	)	)	PUNCT
ajmri-633	288	25	.	.	PUNCT
ajmri-633	289	1	handling	handle	VERB
ajmri-633	289	2	class	class	NOUN
ajmri-633	289	3	imbalance	imbalance	NOUN
ajmri-633	289	4	in	in	ADP
ajmri-633	289	5	credit	credit	NOUN
ajmri-633	289	6	card	card	NOUN
ajmri-633	289	7	fraud	fraud	NOUN
ajmri-633	289	8	using	use	VERB
ajmri-633	289	9	resampling	resample	VERB
ajmri-633	289	10	methods	method	NOUN
ajmri-633	289	11	.	.	PUNCT
ajmri-633	290	1	int	int	NOUN
ajmri-633	290	2	.	.	PUNCT
ajmri-633	291	1	j.	j.	PROPN
ajmri-633	291	2	adv	adv	PROPN
ajmri-633	291	3	.	.	PUNCT
ajmri-633	292	1	comput	comput	PROPN
ajmri-633	292	2	.	.	PUNCT
ajmri-633	293	1	sci	sci	PROPN
ajmri-633	293	2	.	.	PROPN
ajmri-633	293	3	appl	appl	PROPN
ajmri-633	293	4	,	,	PUNCT
ajmri-633	293	5	9(11	9(11	NUM
ajmri-633	293	6	)	)	PUNCT
ajmri-633	293	7	,	,	PUNCT
ajmri-633	293	8	390	390	NUM
ajmri-633	293	9	-	-	SYM
ajmri-633	293	10	396	396	NUM
ajmri-633	293	11	.	.	PUNCT
ajmri-633	294	1	harshit	harshit	ADJ
ajmri-633	294	2	lamba,(2022	lamba,(2022	PROPN
ajmri-633	294	3	)	)	PUNCT
ajmri-633	294	4	.	.	PUNCT
ajmri-633	295	1	credit	credit	NOUN
ajmri-633	295	2	card	card	NOUN
ajmri-633	295	3	fraud	fraud	NOUN
ajmri-633	295	4	detection	detection	NOUN
ajmri-633	295	5	in	in	ADP
ajmri-633	295	6	real	real	ADJ
ajmri-633	295	7	time	time	NOUN
ajmri-633	295	8	.	.	PUNCT
ajmri-633	296	1	hordri	hordri	PROPN
ajmri-633	296	2	,	,	PUNCT
ajmri-633	296	3	n.	n.	PROPN
ajmri-633	296	4	f.	f.	PROPN
ajmri-633	296	5	,	,	PUNCT
ajmri-633	296	6	yuhaniz	yuhaniz	PROPN
ajmri-633	296	7	,	,	PUNCT
ajmri-633	296	8	s.	s.	PROPN
ajmri-633	296	9	s.	s.	PROPN
ajmri-633	296	10	,	,	PUNCT
ajmri-633	296	11	azmi	azmi	PROPN
ajmri-633	296	12	,	,	PUNCT
ajmri-633	296	13	n.	n.	PROPN
ajmri-633	296	14	f.	f.	PROPN
ajmri-633	296	15	m.	m.	PROPN
ajmri-633	296	16	,	,	PUNCT
ajmri-633	296	17	&	&	CCONJ
ajmri-633	296	18	shamsuddin	shamsuddin	PROPN
ajmri-633	296	19	,	,	PUNCT
ajmri-633	296	20	s.	s.	PROPN
ajmri-633	296	21	m.	m.	PROPN
ajmri-633	296	22	(	(	PUNCT
ajmri-633	296	23	2018	2018	NUM
ajmri-633	296	24	)	)	PUNCT
ajmri-633	296	25	.	.	PUNCT
ajmri-633	297	1	handling	handle	VERB
ajmri-633	297	2	class	class	NOUN
ajmri-633	297	3	imbalance	imbalance	NOUN
ajmri-633	297	4	in	in	ADP
ajmri-633	297	5	credit	credit	NOUN
ajmri-633	297	6	card	card	NOUN
ajmri-633	297	7	fraud	fraud	NOUN
ajmri-633	297	8	using	use	VERB
ajmri-633	297	9	resampling	resample	VERB
ajmri-633	297	10	methods	method	NOUN
ajmri-633	297	11	.	.	PUNCT
ajmri-633	298	1	int	int	NOUN
ajmri-633	298	2	.	.	PUNCT
ajmri-633	299	1	j.	j.	PROPN
ajmri-633	299	2	adv	adv	PROPN
ajmri-633	299	3	.	.	PUNCT
ajmri-633	300	1	comput	comput	PROPN
ajmri-633	300	2	.	.	PUNCT
ajmri-633	301	1	sci	sci	PROPN
ajmri-633	301	2	.	.	PROPN
ajmri-633	301	3	appl	appl	PROPN
ajmri-633	301	4	,	,	PUNCT
ajmri-633	301	5	9(11	9(11	NUM
ajmri-633	301	6	)	)	PUNCT
ajmri-633	301	7	,	,	PUNCT
ajmri-633	301	8	390	390	NUM
ajmri-633	301	9	-	-	SYM
ajmri-633	301	10	396	396	NUM
ajmri-633	301	11	.	.	PUNCT
ajmri-633	302	1	itoo	itoo	ADV
ajmri-633	302	2	,	,	PUNCT
ajmri-633	302	3	f.	f.	PROPN
ajmri-633	302	4	,	,	PUNCT
ajmri-633	302	5	&	&	CCONJ
ajmri-633	302	6	singh	singh	PROPN
ajmri-633	302	7	,	,	PUNCT
ajmri-633	302	8	s.	s.	PROPN
ajmri-633	302	9	(	(	PUNCT
ajmri-633	302	10	2021	2021	NUM
ajmri-633	302	11	)	)	PUNCT
ajmri-633	302	12	.	.	PUNCT
ajmri-633	303	1	comparison	comparison	NOUN
ajmri-633	303	2	and	and	CCONJ
ajmri-633	303	3	analysis	analysis	NOUN
ajmri-633	303	4	of	of	ADP
ajmri-633	303	5	logistic	logistic	ADJ
ajmri-633	303	6	regression	regression	NOUN
ajmri-633	303	7	,	,	PUNCT
ajmri-633	303	8	naïve	naïve	ADJ
ajmri-633	303	9	bayes	bayes	PROPN
ajmri-633	303	10	and	and	CCONJ
ajmri-633	303	11	knn	knn	PROPN
ajmri-633	303	12	machine	machine	NOUN
ajmri-633	303	13	learning	learn	VERB
ajmri-633	303	14	algorithms	algorithm	NOUN
ajmri-633	303	15	for	for	ADP
ajmri-633	303	16	credit	credit	NOUN
ajmri-633	303	17	card	card	NOUN
ajmri-633	303	18	fraud	fraud	NOUN
ajmri-633	303	19	detection	detection	NOUN
ajmri-633	303	20	.	.	PUNCT
ajmri-633	304	1	international	international	ADJ
ajmri-633	304	2	journal	journal	PROPN
ajmri-633	304	3	of	of	ADP
ajmri-633	304	4	information	information	NOUN
ajmri-633	304	5	technology	technology	NOUN
ajmri-633	304	6	,	,	PUNCT
ajmri-633	304	7	13(4	13(4	NUM
ajmri-633	304	8	)	)	PUNCT
ajmri-633	304	9	,	,	PUNCT
ajmri-633	304	10	1503	1503	NUM
ajmri-633	304	11	-	-	SYM
ajmri-633	304	12	1511	1511	NUM
ajmri-633	304	13	.	.	PUNCT
ajmri-633	305	1	https://doi.org/10.1007/s41870-02000430-y	https://doi.org/10.1007/s41870-02000430-y	PROPN
ajmri-633	305	2	islam	islam	PROPN
ajmri-633	305	3	t	t	PROPN
ajmri-633	305	4	,	,	PUNCT
ajmri-633	305	5	rizan	rizan	PROPN
ajmri-633	305	6	ru	ru	PROPN
ajmri-633	305	7	,	,	PUNCT
ajmri-633	305	8	tusher	tusher	NOUN
ajmri-633	305	9	ya	ya	PROPN
ajmri-633	305	10	,	,	PUNCT
ajmri-633	305	11	shafiuzzaman	shafiuzzaman	NOUN
ajmri-633	305	12	m	m	PROPN
ajmri-633	305	13	,	,	PUNCT
ajmri-633	305	14	hossain	hossain	PROPN
ajmri-633	305	15	ma	ma	PROPN
ajmri-633	305	16	,	,	PUNCT
ajmri-633	305	17	galib	galib	PROPN
ajmri-633	305	18	s.	s.	PROPN
ajmri-633	305	19	nitrogen	nitrogen	PROPN
ajmri-633	305	20	fertilizer	fertilizer	NOUN
ajmri-633	305	21	recommendation	recommendation	NOUN
ajmri-633	305	22	for	for	ADP
ajmri-633	305	23	paddies	paddy	NOUN
ajmri-633	305	24	through	through	ADP
ajmri-633	305	25	automating	automate	VERB
ajmri-633	305	26	the	the	DET
ajmri-633	305	27	leaf	leaf	NOUN
ajmri-633	305	28	color	color	NOUN
ajmri-633	305	29	chart	chart	NOUN
ajmri-633	305	30	(	(	PUNCT
ajmri-633	305	31	lcc	lcc	PROPN
ajmri-633	305	32	)	)	PUNCT
ajmri-633	305	33	.	.	PUNCT
ajmri-633	306	1	international	international	ADJ
ajmri-633	306	2	journal	journal	PROPN
ajmri-633	306	3	of	of	ADP
ajmri-633	306	4	advanced	advanced	ADJ
ajmri-633	306	5	computer	computer	NOUN
ajmri-633	306	6	science	science	NOUN
ajmri-633	306	7	and	and	CCONJ
ajmri-633	306	8	applications	application	NOUN
ajmri-633	306	9	,	,	PUNCT
ajmri-633	306	10	11(8	11(8	NUM
ajmri-633	306	11	)	)	PUNCT
ajmri-633	306	12	.	.	PUNCT
ajmri-633	307	1	figure	figure	VERB
ajmri-633	307	2	11	11	NUM
ajmri-633	307	3	:	:	PUNCT
ajmri-633	307	4	performance	performance	NOUN
ajmri-633	307	5	comparison	comparison	NOUN
ajmri-633	307	6	between	between	ADP
ajmri-633	307	7	proposed	propose	VERB
ajmri-633	307	8	method	method	NOUN
ajmri-633	307	9	and	and	CCONJ
ajmri-633	307	10	previous	previous	ADJ
ajmri-633	307	11	method	method	NOUN
ajmri-633	307	12	in	in	ADP
ajmri-633	307	13	paper	paper	NOUN
ajmri-633	307	14	table	table	NOUN
ajmri-633	307	15	7	7	NUM
ajmri-633	307	16	:	:	PUNCT
ajmri-633	307	17	comparison	comparison	NOUN
ajmri-633	307	18	between	between	ADP
ajmri-633	307	19	previous	previous	ADJ
ajmri-633	307	20	and	and	CCONJ
ajmri-633	307	21	proposed	propose	VERB
ajmri-633	307	22	work	work	NOUN
ajmri-633	307	23	performance	performance	NOUN
ajmri-633	307	24	previous	previous	ADJ
ajmri-633	307	25	method	method	NOUN
ajmri-633	307	26	proposed	propose	VERB
ajmri-633	307	27	method	method	NOUN
ajmri-633	307	28	best	good	ADJ
ajmri-633	307	29	technique	technique	NOUN
ajmri-633	307	30	smote	smote	NOUN
ajmri-633	307	31	smote	smote	ADJ
ajmri-633	307	32	best	well	ADV
ajmri-633	307	33	classifier	classifier	NOUN
ajmri-633	307	34	random	random	ADJ
ajmri-633	307	35	forest	forest	NOUN
ajmri-633	307	36	random	random	ADJ
ajmri-633	307	37	forest	forest	NOUN
ajmri-633	307	38	accuracy	accuracy	NOUN
ajmri-633	307	39	99.96	99.96	NUM
ajmri-633	307	40	%	%	NOUN
ajmri-633	307	41	99.97	99.97	NUM
ajmri-633	307	42	%	%	NOUN
ajmri-633	307	43	recall	recall	NOUN
ajmri-633	307	44	81.63	81.63	NUM
ajmri-633	307	45	%	%	NOUN
ajmri-633	307	46	85.71	85.71	NUM
ajmri-633	307	47	%	%	NOUN
ajmri-633	307	48	precision	precision	NOUN
ajmri-633	307	49	96.38	96.38	NUM
ajmri-633	307	50	%	%	NOUN
ajmri-633	307	51	91.30	91.30	NUM
ajmri-633	307	52	%	%	NOUN
ajmri-633	307	53	f1	f1	NOUN
ajmri-633	307	54	-	-	PUNCT
ajmri-633	307	55	score	score	NOUN
ajmri-633	307	56	88.40	88.40	NUM
ajmri-633	307	57	%	%	NOUN
ajmri-633	307	58	88.42	88.42	NUM
ajmri-633	307	59	%	%	NOUN
ajmri-633	307	60	between	between	ADP
ajmri-633	307	61	proposed	propose	VERB
ajmri-633	307	62	method	method	NOUN
ajmri-633	307	63	and	and	CCONJ
ajmri-633	307	64	the	the	DET
ajmri-633	307	65	previous	previous	ADJ
ajmri-633	307	66	method	method	NOUN
ajmri-633	307	67	.	.	PUNCT
ajmri-633	308	1	here	here	ADV
ajmri-633	308	2	,	,	PUNCT
ajmri-633	308	3	the	the	DET
ajmri-633	308	4	accuracy	accuracy	NOUN
ajmri-633	308	5	,	,	PUNCT
ajmri-633	308	6	recall	recall	NOUN
ajmri-633	308	7	,	,	PUNCT
ajmri-633	308	8	and	and	CCONJ
ajmri-633	308	9	f1	f1	NOUN
ajmri-633	308	10	-	-	PUNCT
ajmri-633	308	11	score	score	NOUN
ajmri-633	308	12	of	of	ADP
ajmri-633	308	13	the	the	DET
ajmri-633	308	14	random	random	ADJ
ajmri-633	308	15	forest	forest	NOUN
ajmri-633	308	16	classifier	classifier	NOUN
ajmri-633	308	17	are	be	AUX
ajmri-633	308	18	higher	high	ADJ
ajmri-633	308	19	than	than	ADP
ajmri-633	308	20	the	the	DET
ajmri-633	308	21	previous	previous	ADJ
ajmri-633	308	22	method	method	NOUN
ajmri-633	308	23	.	.	PUNCT
ajmri-633	309	1	conclusions	conclusion	NOUN
ajmri-633	309	2	due	due	ADP
ajmri-633	309	3	to	to	ADP
ajmri-633	309	4	highly	highly	ADV
ajmri-633	309	5	imbalanced	imbalanced	ADJ
ajmri-633	309	6	and	and	CCONJ
ajmri-633	309	7	skewed	skewed	ADJ
ajmri-633	309	8	data	datum	NOUN
ajmri-633	309	9	,	,	PUNCT
ajmri-633	309	10	real	real	ADJ
ajmri-633	309	11	-	-	PUNCT
ajmri-633	309	12	time	time	NOUN
ajmri-633	309	13	credit	credit	NOUN
ajmri-633	309	14	card	card	NOUN
ajmri-633	309	15	fraud	fraud	NOUN
ajmri-633	309	16	detection	detection	NOUN
ajmri-633	309	17	is	be	AUX
ajmri-633	309	18	a	a	DET
ajmri-633	309	19	difficult	difficult	ADJ
ajmri-633	309	20	task	task	NOUN
ajmri-633	309	21	.	.	PUNCT
ajmri-633	310	1	the	the	DET
ajmri-633	310	2	main	main	ADJ
ajmri-633	310	3	goal	goal	NOUN
ajmri-633	310	4	of	of	ADP
ajmri-633	310	5	this	this	DET
ajmri-633	310	6	study	study	NOUN
ajmri-633	310	7	is	be	AUX
ajmri-633	310	8	to	to	PART
ajmri-633	310	9	find	find	VERB
ajmri-633	310	10	out	out	ADP
ajmri-633	310	11	the	the	DET
ajmri-633	310	12	best	good	ADJ
ajmri-633	310	13	sampling	sampling	NOUN
ajmri-633	310	14	techniques	technique	NOUN
ajmri-633	310	15	and	and	CCONJ
ajmri-633	310	16	evaluate	evaluate	VERB
ajmri-633	310	17	the	the	DET
ajmri-633	310	18	different	different	ADJ
ajmri-633	310	19	classifier	classifier	NOUN
ajmri-633	310	20	performances	performance	NOUN
ajmri-633	310	21	and	and	CCONJ
ajmri-633	310	22	abilities	ability	NOUN
ajmri-633	310	23	to	to	PART
ajmri-633	310	24	classify	classify	VERB
ajmri-633	310	25	fraudulent	fraudulent	ADJ
ajmri-633	310	26	and	and	CCONJ
ajmri-633	310	27	non	non	ADJ
ajmri-633	310	28	-	-	ADJ
ajmri-633	310	29	fraudulent	fraudulent	ADJ
ajmri-633	310	30	transactions	transaction	NOUN
ajmri-633	310	31	.	.	PUNCT
ajmri-633	311	1	it	it	PRON
ajmri-633	311	2	’s	’	VERB
ajmri-633	311	3	worth	worth	ADJ
ajmri-633	311	4	noting	note	VERB
ajmri-633	311	5	that	that	SCONJ
ajmri-633	311	6	the	the	DET
ajmri-633	311	7	random	random	ADJ
ajmri-633	311	8	forest	forest	NOUN
ajmri-633	311	9	dominated	dominate	VERB
ajmri-633	311	10	all	all	DET
ajmri-633	311	11	five	five	NUM
ajmri-633	311	12	classifiers	classifier	NOUN
ajmri-633	311	13	in	in	ADP
ajmri-633	311	14	four	four	NUM
ajmri-633	311	15	sampling	sample	VERB
ajmri-633	311	16	techniques	technique	NOUN
ajmri-633	311	17	.	.	PUNCT
ajmri-633	312	1	out	out	ADP
ajmri-633	312	2	of	of	ADP
ajmri-633	312	3	four	four	NUM
ajmri-633	312	4	sampling	sample	VERB
ajmri-633	312	5	techniques	technique	NOUN
ajmri-633	312	6	,	,	PUNCT
ajmri-633	312	7	smote	smote	NOUN
ajmri-633	312	8	performed	perform	VERB
ajmri-633	312	9	well.in	well.in	PROPN
ajmri-633	312	10	smote	smote	ADJ
ajmri-633	312	11	,	,	PUNCT
ajmri-633	312	12	random	random	ADJ
ajmri-633	312	13	forest	forest	NOUN
ajmri-633	312	14	generates	generate	VERB
ajmri-633	312	15	a	a	DET
ajmri-633	312	16	higher	high	ADJ
ajmri-633	312	17	recall	recall	NOUN
ajmri-633	312	18	rate	rate	NOUN
ajmri-633	312	19	as	as	ADV
ajmri-633	312	20	well	well	ADV
ajmri-633	312	21	as	as	ADP
ajmri-633	312	22	a	a	DET
ajmri-633	312	23	comparatively	comparatively	ADV
ajmri-633	312	24	well	well	ADJ
ajmri-633	312	25	precision	precision	NOUN
ajmri-633	312	26	rate	rate	NOUN
ajmri-633	312	27	.	.	PUNCT
ajmri-633	313	1	to	to	PART
ajmri-633	313	2	improve	improve	VERB
ajmri-633	313	3	results	result	NOUN
ajmri-633	313	4	,	,	PUNCT
ajmri-633	313	5	further	further	ADJ
ajmri-633	313	6	study	study	NOUN
ajmri-633	313	7	should	should	AUX
ajmri-633	313	8	be	be	AUX
ajmri-633	313	9	done	do	VERB
ajmri-633	313	10	on	on	ADP
ajmri-633	313	11	different	different	ADJ
ajmri-633	313	12	smote	smote	ADJ
ajmri-633	313	13	techniques	technique	NOUN
ajmri-633	313	14	.	.	PUNCT
ajmri-633	314	1	meta	meta	ADJ
ajmri-633	314	2	-	-	PUNCT
ajmri-633	314	3	classifier	classifier	NOUN
ajmri-633	314	4	and	and	CCONJ
ajmri-633	314	5	meta	meta	ADV
ajmri-633	314	6	-	-	PUNCT
ajmri-633	314	7	learning	learn	VERB
ajmri-633	314	8	techniques	technique	NOUN
ajmri-633	314	9	can	can	AUX
ajmri-633	314	10	effectively	effectively	ADV
ajmri-633	314	11	manage	manage	VERB
ajmri-633	314	12	such	such	ADJ
ajmri-633	314	13	unbalanced	unbalanced	ADJ
ajmri-633	314	14	data	datum	NOUN
ajmri-633	314	15	.	.	PUNCT
ajmri-633	315	1	in	in	ADP
ajmri-633	315	2	this	this	DET
ajmri-633	315	3	context	context	NOUN
ajmri-633	315	4	,	,	PUNCT
ajmri-633	315	5	several	several	ADJ
ajmri-633	315	6	sampling	sampling	NOUN
ajmri-633	315	7	approaches	approach	NOUN
ajmri-633	315	8	can	can	AUX
ajmri-633	315	9	be	be	AUX
ajmri-633	315	10	investigated	investigate	VERB
ajmri-633	315	11	.	.	PUNCT
ajmri-633	316	1	a	a	DET
ajmri-633	316	2	hybrid	hybrid	ADJ
ajmri-633	316	3	technique	technique	NOUN
ajmri-633	316	4	can	can	AUX
ajmri-633	316	5	https://journals.e-palli.com/home/index.php/ajmri	https://journals.e-palli.com/home/index.php/ajmri	PROPN
ajmri-633	316	6	pa	pa	PROPN
ajmri-633	316	7	ge	ge	PROPN
ajmri-633	316	8	16	16	NUM
ajmri-633	316	9	8	8	NUM
ajmri-633	316	10	https://journals.e-palli.com/home/index.php/ajmri	https://journals.e-palli.com/home/index.php/ajmri	PROPN
ajmri-633	316	11	am	am	NOUN
ajmri-633	316	12	.	.	PUNCT
ajmri-633	317	1	j.	j.	PROPN
ajmri-633	317	2	multidis	multidis	PROPN
ajmri-633	317	3	.	.	PUNCT
ajmri-633	318	1	res	re	NOUN
ajmri-633	318	2	.	.	PUNCT
ajmri-633	319	1	innov	innov	PROPN
ajmri-633	319	2	.	.	PUNCT
ajmri-633	320	1	1(4	1(4	NUM
ajmri-633	320	2	)	)	PUNCT
ajmri-633	320	3	150	150	NUM
ajmri-633	320	4	-	-	SYM
ajmri-633	320	5	159	159	NUM
ajmri-633	320	6	,	,	PUNCT
ajmri-633	320	7	2022	2022	NUM
ajmri-633	320	8	khatri	khatri	PROPN
ajmri-633	320	9	,	,	PUNCT
ajmri-633	320	10	s.	s.	PROPN
ajmri-633	320	11	,	,	PUNCT
ajmri-633	320	12	arora	arora	PROPN
ajmri-633	320	13	,	,	PUNCT
ajmri-633	320	14	a.	a.	PROPN
ajmri-633	320	15	,	,	PUNCT
ajmri-633	320	16	&	&	CCONJ
ajmri-633	320	17	agrawal	agrawal	PROPN
ajmri-633	320	18	,	,	PUNCT
ajmri-633	321	1	a.	a.	NOUN
ajmri-633	321	2	p.	p.	NOUN
ajmri-633	321	3	(	(	PUNCT
ajmri-633	321	4	2020	2020	NUM
ajmri-633	321	5	,	,	PUNCT
ajmri-633	321	6	january	january	PROPN
ajmri-633	321	7	)	)	PUNCT
ajmri-633	321	8	.	.	PUNCT
ajmri-633	322	1	supervised	supervised	ADJ
ajmri-633	322	2	machine	machine	NOUN
ajmri-633	322	3	learning	learn	VERB
ajmri-633	322	4	algorithms	algorithm	NOUN
ajmri-633	322	5	for	for	ADP
ajmri-633	322	6	credit	credit	NOUN
ajmri-633	322	7	card	card	NOUN
ajmri-633	322	8	fraud	fraud	NOUN
ajmri-633	322	9	detection	detection	NOUN
ajmri-633	322	10	:	:	PUNCT
ajmri-633	322	11	a	a	DET
ajmri-633	322	12	comparison	comparison	NOUN
ajmri-633	322	13	.	.	PUNCT
ajmri-633	323	1	in	in	ADP
ajmri-633	323	2	2020	2020	NUM
ajmri-633	323	3	10th	10th	ADJ
ajmri-633	323	4	international	international	ADJ
ajmri-633	323	5	conference	conference	NOUN
ajmri-633	323	6	on	on	ADP
ajmri-633	323	7	cloud	cloud	NOUN
ajmri-633	323	8	computing	computing	NOUN
ajmri-633	323	9	,	,	PUNCT
ajmri-633	323	10	data	data	NOUN
ajmri-633	323	11	science	science	PROPN
ajmri-633	323	12	&	&	CCONJ
ajmri-633	323	13	engineering	engineering	PROPN
ajmri-633	323	14	(	(	PUNCT
ajmri-633	323	15	confluence	confluence	NOUN
ajmri-633	323	16	)	)	PUNCT
ajmri-633	323	17	,	,	PUNCT
ajmri-633	323	18	680	680	NUM
ajmri-633	323	19	-	-	SYM
ajmri-633	323	20	683	683	NUM
ajmri-633	323	21	.	.	PUNCT
ajmri-633	324	1	kundu	kundu	PROPN
ajmri-633	324	2	m	m	PROPN
ajmri-633	324	3	,	,	PUNCT
ajmri-633	324	4	nashiry	nashiry	PROPN
ajmri-633	324	5	ma	ma	PROPN
ajmri-633	324	6	,	,	PUNCT
ajmri-633	324	7	dipongkor	dipongkor	PROPN
ajmri-633	324	8	ak	ak	PROPN
ajmri-633	324	9	,	,	PUNCT
ajmri-633	324	10	sumi	sumi	PROPN
ajmri-633	324	11	ss	ss	PROPN
ajmri-633	324	12	,	,	PUNCT
ajmri-633	324	13	hossain	hossain	PROPN
ajmri-633	324	14	ma.(2014	ma.(2014	PROPN
ajmri-633	324	15	)	)	PUNCT
ajmri-633	324	16	.	.	PUNCT
ajmri-633	325	1	an	an	DET
ajmri-633	325	2	optimized	optimize	VERB
ajmri-633	325	3	machine	machine	NOUN
ajmri-633	325	4	learning	learn	VERB
ajmri-633	325	5	approach	approach	NOUN
ajmri-633	325	6	for	for	ADP
ajmri-633	325	7	predicting	predict	VERB
ajmri-633	325	8	parkinson	parkinson	NOUN
ajmri-633	325	9	’s	’s	PART
ajmri-633	325	10	disease	disease	NOUN
ajmri-633	325	11	.	.	PUNCT
ajmri-633	326	1	int	int	NOUN
ajmri-633	326	2	.	.	PUNCT
ajmri-633	327	1	j.	j.	PROPN
ajmri-633	327	2	mod	mod	PROPN
ajmri-633	327	3	.	.	PROPN
ajmri-633	327	4	educ	educ	PROPN
ajmri-633	327	5	.	.	PUNCT
ajmri-633	328	1	comput	comput	PROPN
ajmri-633	328	2	.	.	PUNCT
ajmri-633	329	1	sci	sci	PROPN
ajmri-633	329	2	.	.	PUNCT
ajmri-633	330	1	(	(	PUNCT
ajmri-633	330	2	ijmecs	ijmecs	ADJ
ajmri-633	330	3	)	)	PUNCT
ajmri-633	330	4	,	,	PUNCT
ajmri-633	330	5	13(4	13(4	NUM
ajmri-633	330	6	)	)	PUNCT
ajmri-633	330	7	,	,	PUNCT
ajmri-633	330	8	68	68	NUM
ajmri-633	330	9	-	-	SYM
ajmri-633	330	10	74	74	NUM
ajmri-633	330	11	.	.	PUNCT
ajmri-633	331	1	kaggle.com	kaggle.com	X
ajmri-633	331	2	.	.	PUNCT
ajmri-633	331	3	(	(	PUNCT
ajmri-633	331	4	2019	2019	NUM
ajmri-633	331	5	)	)	PUNCT
ajmri-633	331	6	.	.	PUNCT
ajmri-633	332	1	credit	credit	NOUN
ajmri-633	332	2	card	card	NOUN
ajmri-633	332	3	fraud	fraud	NOUN
ajmri-633	332	4	detection	detection	NOUN
ajmri-633	332	5	.	.	PUNCT
ajmri-633	333	1	retrieved	retrieve	VERB
ajmri-633	333	2	10	10	NUM
ajmri-633	333	3	jan	jan	PROPN
ajmri-633	333	4	.	.	PROPN
ajmri-633	333	5	2019	2019	NUM
ajmri-633	333	6	.	.	PUNCT
ajmri-633	334	1	https://www.kaggle.com/mlg-ulb/	https://www.kaggle.com/mlg-ulb/	PROPN
ajmri-633	334	2	creditcardfraud	creditcardfraud	PROPN
ajmri-633	334	3	luthra	luthra	PROPN
ajmri-633	334	4	,	,	PUNCT
ajmri-633	334	5	r.	r.	PROPN
ajmri-633	334	6	,	,	PUNCT
ajmri-633	334	7	nath	nath	PROPN
ajmri-633	334	8	,	,	PUNCT
ajmri-633	334	9	g.	g.	PROPN
ajmri-633	334	10	,	,	PUNCT
ajmri-633	334	11	&	&	CCONJ
ajmri-633	334	12	chellani	chellani	PROPN
ajmri-633	334	13	,	,	PUNCT
ajmri-633	334	14	r.	r.	PROPN
ajmri-633	334	15	(	(	PUNCT
ajmri-633	334	16	2019	2019	NUM
ajmri-633	334	17	)	)	PUNCT
ajmri-633	334	18	.	.	PUNCT
ajmri-633	335	1	a	a	DET
ajmri-633	335	2	review	review	NOUN
ajmri-633	335	3	on	on	ADP
ajmri-633	335	4	class	class	NOUN
ajmri-633	335	5	imbalanced	imbalanced	ADJ
ajmri-633	335	6	correction	correction	NOUN
ajmri-633	335	7	techniques	technique	NOUN
ajmri-633	335	8	:	:	PUNCT
ajmri-633	335	9	a	a	DET
ajmri-633	335	10	case	case	NOUN
ajmri-633	335	11	of	of	ADP
ajmri-633	335	12	credit	credit	NOUN
ajmri-633	335	13	card	card	NOUN
ajmri-633	335	14	default	default	NOUN
ajmri-633	335	15	prediction	prediction	NOUN
ajmri-633	335	16	on	on	ADP
ajmri-633	335	17	a	a	DET
ajmri-633	335	18	highly	highly	ADV
ajmri-633	335	19	imbalanced	imbalanced	ADJ
ajmri-633	335	20	dataset	dataset	NOUN
ajmri-633	335	21	.	.	PUNCT
ajmri-633	336	1	praxis	praxis	PROPN
ajmri-633	336	2	business	business	PROPN
ajmri-633	336	3	school	school	PROPN
ajmri-633	336	4	.	.	PUNCT
ajmri-633	337	1	li	li	PROPN
ajmri-633	337	2	,	,	PUNCT
ajmri-633	337	3	z.	z.	PROPN
ajmri-633	337	4	,	,	PUNCT
ajmri-633	337	5	huang	huang	PROPN
ajmri-633	337	6	,	,	PUNCT
ajmri-633	337	7	m.	m.	NOUN
ajmri-633	337	8	,	,	PUNCT
ajmri-633	337	9	liu	liu	PROPN
ajmri-633	337	10	,	,	PUNCT
ajmri-633	337	11	g.	g.	PROPN
ajmri-633	337	12	,	,	PUNCT
ajmri-633	337	13	&	&	CCONJ
ajmri-633	337	14	jiang	jiang	PROPN
ajmri-633	337	15	,	,	PUNCT
ajmri-633	337	16	c.	c.	PROPN
ajmri-633	337	17	(	(	PUNCT
ajmri-633	337	18	2021	2021	NUM
ajmri-633	337	19	)	)	PUNCT
ajmri-633	337	20	.	.	PUNCT
ajmri-633	338	1	a	a	DET
ajmri-633	338	2	hybrid	hybrid	ADJ
ajmri-633	338	3	method	method	NOUN
ajmri-633	338	4	with	with	ADP
ajmri-633	338	5	dynamic	dynamic	ADJ
ajmri-633	338	6	weighted	weight	VERB
ajmri-633	338	7	entropy	entropy	NOUN
ajmri-633	338	8	for	for	ADP
ajmri-633	338	9	handling	handle	VERB
ajmri-633	338	10	the	the	DET
ajmri-633	338	11	problem	problem	NOUN
ajmri-633	338	12	of	of	ADP
ajmri-633	338	13	class	class	NOUN
ajmri-633	338	14	imbalance	imbalance	NOUN
ajmri-633	338	15	with	with	ADP
ajmri-633	338	16	overlap	overlap	NOUN
ajmri-633	338	17	in	in	ADP
ajmri-633	338	18	credit	credit	NOUN
ajmri-633	338	19	card	card	NOUN
ajmri-633	338	20	fraud	fraud	NOUN
ajmri-633	338	21	detection	detection	NOUN
ajmri-633	338	22	.	.	PUNCT
ajmri-633	339	1	expert	expert	NOUN
ajmri-633	339	2	systems	system	NOUN
ajmri-633	339	3	with	with	ADP
ajmri-633	339	4	applications	application	NOUN
ajmri-633	339	5	,	,	PUNCT
ajmri-633	339	6	175	175	NUM
ajmri-633	339	7	,	,	PUNCT
ajmri-633	339	8	114750	114750	NUM
ajmri-633	339	9	.	.	PUNCT
ajmri-633	340	1	https://doi.org/10.1016/j	https://doi.org/10.1016/j	NOUN
ajmri-633	340	2	.	.	PUNCT
ajmri-633	341	1	eswa.2021.114750	eswa.2021.114750	NOUN
ajmri-633	341	2	mˆına˘stireanu	mˆına˘stireanu	PROPN
ajmri-633	341	3	,	,	PUNCT
ajmri-633	341	4	e.a	e.a	PROPN
ajmri-633	341	5	.	.	PROPN
ajmri-633	341	6	,	,	PUNCT
ajmri-633	341	7	and	and	CCONJ
ajmri-633	341	8	mes¸ni¸ta˘	mes¸ni¸ta˘	ADJ
ajmri-633	341	9	,	,	PUNCT
ajmri-633	341	10	g.	g.	PROPN
ajmri-633	341	11	(	(	PUNCT
ajmri-633	341	12	2020	2020	NUM
ajmri-633	341	13	)	)	PUNCT
ajmri-633	341	14	.	.	PUNCT
ajmri-633	342	1	methods	method	NOUN
ajmri-633	342	2	of	of	ADP
ajmri-633	342	3	handling	handle	VERB
ajmri-633	342	4	unbalanced	unbalanced	ADJ
ajmri-633	342	5	datasets	dataset	NOUN
ajmri-633	342	6	in	in	ADP
ajmri-633	342	7	credit	credit	NOUN
ajmri-633	342	8	card	card	NOUN
ajmri-633	342	9	fraud	fraud	NOUN
ajmri-633	342	10	detection	detection	NOUN
ajmri-633	342	11	.	.	PUNCT
ajmri-633	343	1	brain	brain	NOUN
ajmri-633	343	2	.	.	PUNCT
ajmri-633	344	1	broad	broad	ADJ
ajmri-633	344	2	research	research	NOUN
ajmri-633	344	3	in	in	ADP
ajmri-633	344	4	artificial	artificial	ADJ
ajmri-633	344	5	intelligence	intelligence	NOUN
ajmri-633	344	6	and	and	CCONJ
ajmri-633	344	7	neuroscience	neuroscience	NOUN
ajmri-633	344	8	,	,	PUNCT
ajmri-633	344	9	11(1	11(1	NUM
ajmri-633	344	10	)	)	PUNCT
ajmri-633	344	11	,	,	PUNCT
ajmri-633	344	12	131	131	NUM
ajmri-633	344	13	-	-	SYM
ajmri-633	344	14	143	143	NUM
ajmri-633	344	15	.	.	PUNCT
ajmri-633	345	1	https://doi	https://doi	NOUN
ajmri-633	345	2	.	.	PUNCT
ajmri-633	345	3	org/10.18662	org/10.18662	PROPN
ajmri-633	345	4	/	/	SYM
ajmri-633	345	5	brain/11.1/19	brain/11.1/19	PROPN
ajmri-633	345	6	mohammed	mohammed	PROPN
ajmri-633	345	7	,	,	PUNCT
ajmri-633	345	8	r.	r.	PROPN
ajmri-633	345	9	a.	a.	PROPN
ajmri-633	345	10	,	,	PUNCT
ajmri-633	345	11	wong	wong	PROPN
ajmri-633	345	12	,	,	PUNCT
ajmri-633	345	13	k.	k.	PROPN
ajmri-633	345	14	w.	w.	PROPN
ajmri-633	345	15	,	,	PUNCT
ajmri-633	345	16	shiratuddin	shiratuddin	NOUN
ajmri-633	345	17	,	,	PUNCT
ajmri-633	345	18	m.	m.	NOUN
ajmri-633	345	19	f.	f.	PROPN
ajmri-633	345	20	,	,	PUNCT
ajmri-633	345	21	&	&	CCONJ
ajmri-633	345	22	wang	wang	PROPN
ajmri-633	345	23	,	,	PUNCT
ajmri-633	345	24	x.	x.	NOUN
ajmri-633	345	25	(	(	PUNCT
ajmri-633	345	26	2018	2018	NUM
ajmri-633	345	27	,	,	PUNCT
ajmri-633	345	28	august	august	PROPN
ajmri-633	345	29	)	)	PUNCT
ajmri-633	345	30	.	.	PUNCT
ajmri-633	346	1	scalable	scalable	ADJ
ajmri-633	346	2	machine	machine	NOUN
ajmri-633	346	3	learning	learn	VERB
ajmri-633	346	4	techniques	technique	NOUN
ajmri-633	346	5	for	for	ADP
ajmri-633	346	6	highly	highly	ADV
ajmri-633	346	7	imbalanced	imbalanced	ADJ
ajmri-633	346	8	credit	credit	NOUN
ajmri-633	346	9	card	card	NOUN
ajmri-633	346	10	fraud	fraud	NOUN
ajmri-633	346	11	detection	detection	NOUN
ajmri-633	346	12	:	:	PUNCT
ajmri-633	346	13	a	a	DET
ajmri-633	346	14	comparative	comparative	ADJ
ajmri-633	346	15	study	study	NOUN
ajmri-633	346	16	.	.	PUNCT
ajmri-633	347	1	in	in	ADP
ajmri-633	347	2	pacific	pacific	PROPN
ajmri-633	347	3	rim	rim	PROPN
ajmri-633	347	4	international	international	ADJ
ajmri-633	347	5	conference	conference	NOUN
ajmri-633	347	6	on	on	ADP
ajmri-633	347	7	artificial	artificial	ADJ
ajmri-633	347	8	intelligence	intelligence	NOUN
ajmri-633	347	9	(	(	PUNCT
ajmri-633	347	10	pp	pp	ADJ
ajmri-633	347	11	.	.	PUNCT
ajmri-633	347	12	237246	237246	NUM
ajmri-633	347	13	)	)	PUNCT
ajmri-633	347	14	.	.	PUNCT
ajmri-633	348	1	springer	springer	NOUN
ajmri-633	348	2	,	,	PUNCT
ajmri-633	348	3	cham	cham	PROPN
ajmri-633	348	4	.	.	PUNCT
ajmri-633	349	1	mallidi	mallidi	PROPN
ajmri-633	349	2	,	,	PUNCT
ajmri-633	349	3	m.	m.	PROPN
ajmri-633	349	4	k.	k.	PROPN
ajmri-633	349	5	r.	r.	PROPN
ajmri-633	349	6	,	,	PUNCT
ajmri-633	349	7	&	&	CCONJ
ajmri-633	349	8	zagabathuni	zagabathuni	PROPN
ajmri-633	349	9	,	,	PUNCT
ajmri-633	349	10	y.	y.	NOUN
ajmri-633	349	11	(	(	PUNCT
ajmri-633	349	12	2021	2021	NUM
ajmri-633	349	13	)	)	PUNCT
ajmri-633	349	14	.	.	PUNCT
ajmri-633	350	1	analysis	analysis	NOUN
ajmri-633	350	2	of	of	ADP
ajmri-633	350	3	credit	credit	NOUN
ajmri-633	350	4	card	card	NOUN
ajmri-633	350	5	fraud	fraud	NOUN
ajmri-633	350	6	detection	detection	NOUN
ajmri-633	350	7	using	use	VERB
ajmri-633	350	8	machine	machine	NOUN
ajmri-633	350	9	learning	learning	NOUN
ajmri-633	350	10	models	model	NOUN
ajmri-633	350	11	on	on	ADP
ajmri-633	350	12	balanced	balanced	ADJ
ajmri-633	350	13	and	and	CCONJ
ajmri-633	350	14	imbalanced	imbalanced	ADJ
ajmri-633	350	15	datasets	dataset	NOUN
ajmri-633	350	16	.	.	PUNCT
ajmri-633	351	1	international	international	ADJ
ajmri-633	351	2	journal	journal	NOUN
ajmri-633	351	3	of	of	ADP
ajmri-633	351	4	emerging	emerge	VERB
ajmri-633	351	5	trends	trend	NOUN
ajmri-633	351	6	in	in	ADP
ajmri-633	351	7	engineering	engineering	NOUN
ajmri-633	351	8	research	research	NOUN
ajmri-633	351	9	,	,	PUNCT
ajmri-633	351	10	9(7	9(7	NUM
ajmri-633	351	11	)	)	PUNCT
ajmri-633	351	12	.	.	PUNCT
ajmri-633	352	1	https://doi.org/10.30534/	https://doi.org/10.30534/	PROPN
ajmri-633	352	2	ijeter/2021/02972021	ijeter/2021/02972021	CCONJ
ajmri-633	352	3	najadat	najadat	NOUN
ajmri-633	352	4	,	,	PUNCT
ajmri-633	352	5	h.	h.	PROPN
ajmri-633	352	6	,	,	PUNCT
ajmri-633	352	7	altiti	altiti	PROPN
ajmri-633	352	8	,	,	PUNCT
ajmri-633	352	9	o.	o.	PROPN
ajmri-633	352	10	,	,	PUNCT
ajmri-633	352	11	aqouleh	aqouleh	PROPN
ajmri-633	352	12	,	,	PUNCT
ajmri-633	352	13	a.	a.	NOUN
ajmri-633	352	14	a.	a.	PROPN
ajmri-633	352	15	,	,	PUNCT
ajmri-633	352	16	&	&	CCONJ
ajmri-633	352	17	younes	younes	PROPN
ajmri-633	352	18	,	,	PUNCT
ajmri-633	352	19	m.	m.	NOUN
ajmri-633	352	20	(	(	PUNCT
ajmri-633	352	21	2020	2020	NUM
ajmri-633	352	22	,	,	PUNCT
ajmri-633	352	23	april	april	PROPN
ajmri-633	352	24	)	)	PUNCT
ajmri-633	352	25	.	.	PUNCT
ajmri-633	353	1	credit	credit	NOUN
ajmri-633	353	2	card	card	NOUN
ajmri-633	353	3	fraud	fraud	NOUN
ajmri-633	353	4	detection	detection	NOUN
ajmri-633	353	5	based	base	VERB
ajmri-633	353	6	on	on	ADP
ajmri-633	353	7	machine	machine	NOUN
ajmri-633	353	8	and	and	CCONJ
ajmri-633	353	9	deep	deep	ADJ
ajmri-633	353	10	learning	learning	NOUN
ajmri-633	353	11	.	.	PUNCT
ajmri-633	354	1	in	in	ADP
ajmri-633	354	2	2020	2020	NUM
ajmri-633	354	3	11th	11th	ADJ
ajmri-633	354	4	international	international	ADJ
ajmri-633	354	5	conference	conference	NOUN
ajmri-633	354	6	on	on	ADP
ajmri-633	354	7	information	information	NOUN
ajmri-633	354	8	and	and	CCONJ
ajmri-633	354	9	communication	communication	NOUN
ajmri-633	354	10	systems	system	NOUN
ajmri-633	354	11	(	(	PUNCT
ajmri-633	354	12	icics	icic	NOUN
ajmri-633	354	13	)	)	PUNCT
ajmri-633	354	14	,	,	PUNCT
ajmri-633	354	15	204	204	NUM
ajmri-633	354	16	-	-	SYM
ajmri-633	354	17	208	208	NUM
ajmri-633	354	18	.	.	PUNCT
ajmri-633	355	1	ramentol	ramentol	PROPN
ajmri-633	355	2	,	,	PUNCT
ajmri-633	355	3	e.	e.	PROPN
ajmri-633	355	4	,	,	PUNCT
ajmri-633	355	5	caballero	caballero	PROPN
ajmri-633	355	6	,	,	PUNCT
ajmri-633	355	7	y.	y.	PROPN
ajmri-633	355	8	,	,	PUNCT
ajmri-633	355	9	bello	bello	PROPN
ajmri-633	355	10	,	,	PUNCT
ajmri-633	355	11	r.	r.	PROPN
ajmri-633	355	12	,	,	PUNCT
ajmri-633	355	13	&	&	CCONJ
ajmri-633	355	14	herrera	herrera	PROPN
ajmri-633	355	15	,	,	PUNCT
ajmri-633	355	16	f.	f.	PROPN
ajmri-633	355	17	(	(	PUNCT
ajmri-633	355	18	2012	2012	NUM
ajmri-633	355	19	)	)	PUNCT
ajmri-633	355	20	.	.	PUNCT
ajmri-633	356	1	smote	smote	VERB
ajmri-633	356	2	-	-	PUNCT
ajmri-633	356	3	rsb	rsb	PROPN
ajmri-633	356	4	*	*	NOUN
ajmri-633	356	5	:	:	PUNCT
ajmri-633	356	6	a	a	DET
ajmri-633	356	7	hybrid	hybrid	ADJ
ajmri-633	356	8	preprocessing	preprocessing	NOUN
ajmri-633	356	9	approach	approach	NOUN
ajmri-633	356	10	based	base	VERB
ajmri-633	356	11	on	on	ADP
ajmri-633	356	12	oversampling	oversample	VERB
ajmri-633	356	13	and	and	CCONJ
ajmri-633	356	14	undersampling	undersample	VERB
ajmri-633	356	15	for	for	ADP
ajmri-633	356	16	high	high	ADJ
ajmri-633	356	17	imbalanced	imbalanced	ADJ
ajmri-633	356	18	data	datum	NOUN
ajmri-633	356	19	-	-	PUNCT
ajmri-633	356	20	sets	set	NOUN
ajmri-633	356	21	using	use	VERB
ajmri-633	356	22	smote	smote	ADJ
ajmri-633	356	23	and	and	CCONJ
ajmri-633	356	24	rough	rough	ADJ
ajmri-633	356	25	sets	set	NOUN
ajmri-633	356	26	theory	theory	NOUN
ajmri-633	356	27	.	.	PUNCT
ajmri-633	357	1	knowledge	knowledge	NOUN
ajmri-633	357	2	and	and	CCONJ
ajmri-633	357	3	information	information	NOUN
ajmri-633	357	4	systems	system	NOUN
ajmri-633	357	5	,	,	PUNCT
ajmri-633	357	6	33(2	33(2	NUM
ajmri-633	357	7	)	)	PUNCT
ajmri-633	357	8	,	,	PUNCT
ajmri-633	357	9	245	245	NUM
ajmri-633	357	10	-	-	SYM
ajmri-633	357	11	265	265	NUM
ajmri-633	357	12	.	.	PUNCT
ajmri-633	358	1	sisodia	sisodia	PROPN
ajmri-633	358	2	,	,	PUNCT
ajmri-633	358	3	d.	d.	PROPN
ajmri-633	358	4	s.	s.	PROPN
ajmri-633	358	5	,	,	PUNCT
ajmri-633	358	6	reddy	reddy	PROPN
ajmri-633	358	7	,	,	PUNCT
ajmri-633	358	8	n.	n.	PROPN
ajmri-633	358	9	k.	k.	PROPN
ajmri-633	358	10	,	,	PUNCT
ajmri-633	358	11	&	&	CCONJ
ajmri-633	358	12	bhandari	bhandari	PROPN
ajmri-633	358	13	,	,	PUNCT
ajmri-633	358	14	s.	s.	PROPN
ajmri-633	358	15	(	(	PUNCT
ajmri-633	358	16	2017	2017	NUM
ajmri-633	358	17	,	,	PUNCT
ajmri-633	358	18	september	september	PROPN
ajmri-633	358	19	)	)	PUNCT
ajmri-633	358	20	.	.	PUNCT
ajmri-633	359	1	performance	performance	NOUN
ajmri-633	359	2	evaluation	evaluation	NOUN
ajmri-633	359	3	of	of	ADP
ajmri-633	359	4	class	class	NOUN
ajmri-633	359	5	balancing	balancing	NOUN
ajmri-633	359	6	techniques	technique	NOUN
ajmri-633	359	7	for	for	ADP
ajmri-633	359	8	credit	credit	NOUN
ajmri-633	359	9	card	card	NOUN
ajmri-633	359	10	fraud	fraud	NOUN
ajmri-633	359	11	detection	detection	NOUN
ajmri-633	359	12	.	.	PUNCT
ajmri-633	360	1	in	in	ADP
ajmri-633	360	2	2017	2017	NUM
ajmri-633	360	3	ieee	ieee	NOUN
ajmri-633	360	4	international	international	ADJ
ajmri-633	360	5	conference	conference	NOUN
ajmri-633	360	6	on	on	ADP
ajmri-633	360	7	power	power	NOUN
ajmri-633	360	8	,	,	PUNCT
ajmri-633	360	9	control	control	NOUN
ajmri-633	360	10	,	,	PUNCT
ajmri-633	360	11	signals	signal	NOUN
ajmri-633	360	12	and	and	CCONJ
ajmri-633	360	13	instrumentation	instrumentation	NOUN
ajmri-633	360	14	engineering	engineering	NOUN
ajmri-633	360	15	(	(	PUNCT
ajmri-633	360	16	icpcsi	icpcsi	PROPN
ajmri-633	360	17	)	)	PUNCT
ajmri-633	360	18	,	,	PUNCT
ajmri-633	360	19	27472752	27472752	NUM
ajmri-633	360	20	.	.	PUNCT
ajmri-633	361	1	sohony	sohony	NOUN
ajmri-633	361	2	,	,	PUNCT
ajmri-633	361	3	i.	i.	NOUN
ajmri-633	361	4	,	,	PUNCT
ajmri-633	361	5	pratap	pratap	PROPN
ajmri-633	361	6	,	,	PUNCT
ajmri-633	361	7	r.	r.	PROPN
ajmri-633	361	8	,	,	PUNCT
ajmri-633	361	9	&	&	CCONJ
ajmri-633	361	10	nambiar	nambiar	PROPN
ajmri-633	361	11	,	,	PUNCT
ajmri-633	361	12	u.	u.	PROPN
ajmri-633	361	13	(	(	PUNCT
ajmri-633	361	14	2018	2018	NUM
ajmri-633	361	15	,	,	PUNCT
ajmri-633	361	16	january	january	PROPN
ajmri-633	361	17	)	)	PUNCT
ajmri-633	361	18	.	.	PUNCT
ajmri-633	362	1	ensemble	ensemble	ADJ
ajmri-633	362	2	learning	learning	NOUN
ajmri-633	362	3	for	for	ADP
ajmri-633	362	4	credit	credit	NOUN
ajmri-633	362	5	card	card	NOUN
ajmri-633	362	6	fraud	fraud	NOUN
ajmri-633	362	7	detection	detection	NOUN
ajmri-633	362	8	.	.	PUNCT
ajmri-633	363	1	in	in	ADP
ajmri-633	363	2	proceedings	proceeding	NOUN
ajmri-633	363	3	of	of	ADP
ajmri-633	363	4	the	the	DET
ajmri-633	363	5	acm	acm	PROPN
ajmri-633	363	6	india	india	PROPN
ajmri-633	363	7	joint	joint	PROPN
ajmri-633	363	8	international	international	ADJ
ajmri-633	363	9	conference	conference	NOUN
ajmri-633	363	10	on	on	ADP
ajmri-633	363	11	data	datum	NOUN
ajmri-633	363	12	science	science	NOUN
ajmri-633	363	13	and	and	CCONJ
ajmri-633	363	14	management	management	NOUN
ajmri-633	363	15	of	of	ADP
ajmri-633	363	16	data	datum	NOUN
ajmri-633	363	17	(	(	PUNCT
ajmri-633	363	18	pp	pp	ADJ
ajmri-633	363	19	.	.	PUNCT
ajmri-633	363	20	289	289	NUM
ajmri-633	363	21	-	-	SYM
ajmri-633	363	22	294	294	NUM
ajmri-633	363	23	)	)	PUNCT
ajmri-633	363	24	.	.	PUNCT
ajmri-633	364	1	https://doi.org/10.1145/3152494.3156815	https://doi.org/10.1145/3152494.3156815	NOUN
ajmri-633	364	2	saheed	sahee	VERB
ajmri-633	364	3	,	,	PUNCT
ajmri-633	364	4	y.	y.	PROPN
ajmri-633	364	5	k.	k.	PROPN
ajmri-633	364	6	,	,	PUNCT
ajmri-633	364	7	hambali	hambali	PROPN
ajmri-633	364	8	,	,	PUNCT
ajmri-633	364	9	m.	m.	NOUN
ajmri-633	364	10	a.	a.	PROPN
ajmri-633	364	11	,	,	PUNCT
ajmri-633	364	12	arowolo	arowolo	ADV
ajmri-633	364	13	,	,	PUNCT
ajmri-633	364	14	m.	m.	NOUN
ajmri-633	364	15	o.	o.	PROPN
ajmri-633	364	16	,	,	PUNCT
ajmri-633	364	17	&	&	CCONJ
ajmri-633	364	18	olasupo	olasupo	PROPN
ajmri-633	364	19	,	,	PUNCT
ajmri-633	364	20	y.	y.	PROPN
ajmri-633	364	21	a.	a.	PROPN
ajmri-633	364	22	(	(	PUNCT
ajmri-633	364	23	2020	2020	NUM
ajmri-633	364	24	,	,	PUNCT
ajmri-633	364	25	november	november	PROPN
ajmri-633	364	26	)	)	PUNCT
ajmri-633	364	27	.	.	PUNCT
ajmri-633	365	1	application	application	NOUN
ajmri-633	365	2	of	of	ADP
ajmri-633	365	3	ga	ga	PROPN
ajmri-633	365	4	feature	feature	NOUN
ajmri-633	365	5	selection	selection	NOUN
ajmri-633	365	6	on	on	ADP
ajmri-633	365	7	naive	naive	ADJ
ajmri-633	365	8	bayes	bayes	NOUN
ajmri-633	365	9	,	,	PUNCT
ajmri-633	365	10	random	random	ADJ
ajmri-633	365	11	forest	forest	NOUN
ajmri-633	365	12	and	and	CCONJ
ajmri-633	365	13	svm	svm	VERB
ajmri-633	365	14	for	for	ADP
ajmri-633	365	15	credit	credit	NOUN
ajmri-633	365	16	card	card	NOUN
ajmri-633	365	17	fraud	fraud	NOUN
ajmri-633	365	18	detection	detection	NOUN
ajmri-633	365	19	.	.	PUNCT
ajmri-633	366	1	in	in	ADP
ajmri-633	366	2	2020	2020	NUM
ajmri-633	366	3	international	international	ADJ
ajmri-633	366	4	conference	conference	NOUN
ajmri-633	366	5	on	on	ADP
ajmri-633	366	6	decision	decision	NOUN
ajmri-633	366	7	aid	aid	NOUN
ajmri-633	366	8	sciences	science	NOUN
ajmri-633	366	9	and	and	CCONJ
ajmri-633	366	10	application	application	NOUN
ajmri-633	366	11	(	(	PUNCT
ajmri-633	366	12	dasa	dasa	PROPN
ajmri-633	366	13	)	)	PUNCT
ajmri-633	366	14	,	,	PUNCT
ajmri-633	366	15	1091	1091	NUM
ajmri-633	366	16	-	-	SYM
ajmri-633	366	17	1097	1097	NUM
ajmri-633	366	18	.	.	PUNCT
ajmri-633	367	1	shen	shen	PROPN
ajmri-633	367	2	,	,	PUNCT
ajmri-633	367	3	a.	a.	PROPN
ajmri-633	367	4	,	,	PUNCT
ajmri-633	367	5	tong	tong	PROPN
ajmri-633	367	6	,	,	PUNCT
ajmri-633	367	7	r.	r.	PROPN
ajmri-633	367	8	,	,	PUNCT
ajmri-633	367	9	&	&	CCONJ
ajmri-633	367	10	deng	deng	PROPN
ajmri-633	367	11	,	,	PUNCT
ajmri-633	367	12	y.	y.	PROPN
ajmri-633	367	13	(	(	PUNCT
ajmri-633	367	14	2007	2007	NUM
ajmri-633	367	15	,	,	PUNCT
ajmri-633	367	16	june	june	PROPN
ajmri-633	367	17	)	)	PUNCT
ajmri-633	367	18	.	.	PUNCT
ajmri-633	368	1	application	application	NOUN
ajmri-633	368	2	of	of	ADP
ajmri-633	368	3	classification	classification	NOUN
ajmri-633	368	4	models	model	NOUN
ajmri-633	368	5	on	on	ADP
ajmri-633	368	6	credit	credit	NOUN
ajmri-633	368	7	card	card	NOUN
ajmri-633	368	8	fraud	fraud	NOUN
ajmri-633	368	9	detection	detection	NOUN
ajmri-633	368	10	.	.	PUNCT
ajmri-633	369	1	in	in	ADP
ajmri-633	369	2	2007	2007	NUM
ajmri-633	369	3	international	international	ADJ
ajmri-633	369	4	conference	conference	NOUN
ajmri-633	369	5	on	on	ADP
ajmri-633	369	6	service	service	NOUN
ajmri-633	369	7	systems	system	NOUN
ajmri-633	369	8	and	and	CCONJ
ajmri-633	369	9	service	service	NOUN
ajmri-633	369	10	management	management	NOUN
ajmri-633	369	11	,	,	PUNCT
ajmri-633	369	12	1	1	NUM
ajmri-633	369	13	-	-	SYM
ajmri-633	369	14	4	4	NUM
ajmri-633	369	15	.	.	PUNCT
ajmri-633	369	16	varmedja	varmedja	PROPN
ajmri-633	369	17	,	,	PUNCT
ajmri-633	369	18	d.	d.	PROPN
ajmri-633	369	19	,	,	PUNCT
ajmri-633	369	20	karanovic	karanovic	PROPN
ajmri-633	369	21	,	,	PUNCT
ajmri-633	369	22	m.	m.	NOUN
ajmri-633	369	23	,	,	PUNCT
ajmri-633	369	24	sladojevic	sladojevic	PROPN
ajmri-633	369	25	,	,	PUNCT
ajmri-633	369	26	s.	s.	PROPN
ajmri-633	369	27	,	,	PUNCT
ajmri-633	369	28	arsenovic	arsenovic	ADJ
ajmri-633	369	29	,	,	PUNCT
ajmri-633	369	30	m.	m.	NOUN
ajmri-633	369	31	,	,	PUNCT
ajmri-633	369	32	&	&	CCONJ
ajmri-633	369	33	anderla	anderla	PROPN
ajmri-633	369	34	,	,	PUNCT
ajmri-633	369	35	a.	a.	NOUN
ajmri-633	369	36	(	(	PUNCT
ajmri-633	369	37	2019	2019	NUM
ajmri-633	369	38	,	,	PUNCT
ajmri-633	369	39	march	march	PROPN
ajmri-633	369	40	)	)	PUNCT
ajmri-633	369	41	.	.	PUNCT
ajmri-633	370	1	credit	credit	NOUN
ajmri-633	370	2	card	card	NOUN
ajmri-633	370	3	fraud	fraud	NOUN
ajmri-633	370	4	detection	detection	NOUN
ajmri-633	370	5	-	-	PUNCT
ajmri-633	370	6	machine	machine	NOUN
ajmri-633	370	7	learning	learning	NOUN
ajmri-633	370	8	methods	method	NOUN
ajmri-633	370	9	.	.	PUNCT
ajmri-633	371	1	in	in	ADP
ajmri-633	371	2	2019	2019	NUM
ajmri-633	371	3	18th	18th	ADJ
ajmri-633	371	4	international	international	ADJ
ajmri-633	371	5	symposium	symposium	NOUN
ajmri-633	371	6	.	.	PUNCT
ajmri-633	372	1	1	1	NUM
ajmri-633	372	2	-	-	SYM
ajmri-633	372	3	5	5	NUM
ajmri-633	372	4	.	.	PUNCT
ajmri-633	372	5	vipsita	vipsita	PROPN
ajmri-633	372	6	s	s	PART
ajmri-633	372	7	,	,	PUNCT
ajmri-633	372	8	shee	shee	NOUN
ajmri-633	372	9	bk	bk	PROPN
ajmri-633	372	10	,	,	PUNCT
ajmri-633	372	11	rath	rath	PROPN
ajmri-633	372	12	sk	sk	PROPN
ajmri-633	372	13	.	.	PUNCT
ajmri-633	373	1	an	an	DET
ajmri-633	373	2	efficient	efficient	ADJ
ajmri-633	373	3	technique	technique	NOUN
ajmri-633	373	4	for	for	ADP
ajmri-633	373	5	protein	protein	NOUN
ajmri-633	373	6	classification	classification	NOUN
ajmri-633	373	7	using	use	VERB
ajmri-633	373	8	feature	feature	NOUN
ajmri-633	373	9	extraction	extraction	NOUN
ajmri-633	373	10	by	by	ADP
ajmri-633	373	11	artificial	artificial	ADJ
ajmri-633	373	12	neural	neural	ADJ
ajmri-633	373	13	networks	network	NOUN
ajmri-633	373	14	.	.	PUNCT
ajmri-633	374	1	in	in	ADP
ajmri-633	374	2	2010	2010	NUM
ajmri-633	374	3	annual	annual	ADJ
ajmri-633	374	4	ieee	ieee	PROPN
ajmri-633	374	5	india	india	PROPN
ajmri-633	374	6	conference	conference	PROPN
ajmri-633	374	7	(	(	PUNCT
ajmri-633	374	8	indicon	indicon	NOUN
ajmri-633	374	9	)	)	PUNCT
ajmri-633	374	10	.	.	PUNCT
ajmri-633	375	1	1	1	NUM
ajmri-633	375	2	-	-	SYM
ajmri-633	375	3	5	5	NUM
ajmri-633	375	4	.	.	PUNCT
ajmri-633	376	1	zareapoor	zareapoor	PROPN
ajmri-633	376	2	,	,	PUNCT
ajmri-633	376	3	m.	m.	NOUN
ajmri-633	376	4	,	,	PUNCT
ajmri-633	376	5	&	&	CCONJ
ajmri-633	376	6	yang	yang	PROPN
ajmri-633	376	7	,	,	PUNCT
ajmri-633	376	8	j.	j.	PROPN
ajmri-633	376	9	(	(	PUNCT
ajmri-633	376	10	2017	2017	NUM
ajmri-633	376	11	)	)	PUNCT
ajmri-633	376	12	.	.	PUNCT
ajmri-633	377	1	a	a	DET
ajmri-633	377	2	novel	novel	ADJ
ajmri-633	377	3	strategy	strategy	NOUN
ajmri-633	377	4	for	for	ADP
ajmri-633	377	5	mining	mine	VERB
ajmri-633	377	6	highly	highly	ADV
ajmri-633	377	7	imbalanced	imbalanced	ADJ
ajmri-633	377	8	data	datum	NOUN
ajmri-633	377	9	in	in	ADP
ajmri-633	377	10	credit	credit	NOUN
ajmri-633	377	11	card	card	NOUN
ajmri-633	377	12	transactions	transaction	NOUN
ajmri-633	377	13	.	.	PUNCT
ajmri-633	378	1	intelligent	intelligent	ADJ
ajmri-633	378	2	automation	automation	NOUN
ajmri-633	378	3	&	&	CCONJ
ajmri-633	378	4	soft	soft	ADJ
ajmri-633	378	5	computing	computing	NOUN
ajmri-633	378	6	,	,	PUNCT
ajmri-633	378	7	1	1	NUM
ajmri-633	378	8	-	-	SYM
ajmri-633	378	9	7	7	NUM
ajmri-633	378	10	.	.	PUNCT
ajmri-633	379	1	https://doi.org/10.1080/10798587.2017.1321228	https://doi.org/10.1080/10798587.2017.1321228	PROPN
ajmri-633	380	1	https://journals.e-palli.com/home/index.php/ajmri	https://journals.e-palli.com/home/index.php/ajmri	NUM