id	sid	tid	token	lemma	pos
ajst-19142	1	1	academic	academic	ADJ
ajst-19142	1	2	journal	journal	NOUN
ajst-19142	1	3	of	of	ADP
ajst-19142	1	4	science	science	NOUN
ajst-19142	1	5	and	and	CCONJ
ajst-19142	1	6	technology	technology	NOUN
ajst-19142	1	7	issn	issn	NOUN
ajst-19142	1	8	:	:	PUNCT
ajst-19142	1	9	2771	2771	NUM
ajst-19142	1	10	-	-	SYM
ajst-19142	1	11	3032	3032	NUM
ajst-19142	1	12	|	|	NOUN
ajst-19142	1	13	vol	vol	NOUN
ajst-19142	1	14	.	.	PROPN
ajst-19142	2	1	10	10	NUM
ajst-19142	2	2	,	,	PUNCT
ajst-19142	2	3	no	no	INTJ
ajst-19142	2	4	.	.	NOUN
ajst-19142	2	5	1	1	NUM
ajst-19142	2	6	,	,	PUNCT
ajst-19142	2	7	2024	2024	NUM
ajst-19142	2	8	33	33	NUM
ajst-19142	2	9	application	application	NOUN
ajst-19142	2	10	of	of	ADP
ajst-19142	2	11	machine	machine	NOUN
ajst-19142	2	12	learning‐based	learning‐base	VERB
ajst-19142	2	13	k‐means	k‐means	PUNCT
ajst-19142	2	14	clustering	cluster	VERB
ajst-19142	2	15	for	for	ADP
ajst-19142	2	16	financial	financial	ADJ
ajst-19142	2	17	fraud	fraud	NOUN
ajst-19142	2	18	detection	detection	PROPN
ajst-19142	2	19	zengyi	zengyi	PROPN
ajst-19142	2	20	huang1	huang1	PROPN
ajst-19142	2	21	,	,	PUNCT
ajst-19142	2	22	a	a	DET
ajst-19142	2	23	,	,	PUNCT
ajst-19142	2	24	haotian	haotian	ADJ
ajst-19142	2	25	zheng2	zheng2	PROPN
ajst-19142	2	26	,	,	PUNCT
ajst-19142	2	27	b	b	PROPN
ajst-19142	2	28	,	,	PUNCT
ajst-19142	2	29	chen	chen	PROPN
ajst-19142	2	30	li3	li3	PROPN
ajst-19142	2	31	,	,	PUNCT
ajst-19142	2	32	c	c	PROPN
ajst-19142	2	33	,	,	PUNCT
ajst-19142	2	34	chang	chang	PROPN
ajst-19142	2	35	che4	che4	PROPN
ajst-19142	2	36	,	,	PUNCT
ajst-19142	2	37	*	*	PUNCT
ajst-19142	2	38	1	1	NUM
ajst-19142	2	39	applied	applied	ADJ
ajst-19142	2	40	economics	economic	NOUN
ajst-19142	2	41	,	,	PUNCT
ajst-19142	2	42	the	the	DET
ajst-19142	2	43	george	george	PROPN
ajst-19142	2	44	washington	washington	PROPN
ajst-19142	2	45	university	university	PROPN
ajst-19142	2	46	,	,	PUNCT
ajst-19142	2	47	dc	dc	PROPN
ajst-19142	2	48	,	,	PUNCT
ajst-19142	2	49	20052	20052	NUM
ajst-19142	2	50	,	,	PUNCT
ajst-19142	2	51	us	us	PROPN
ajst-19142	2	52	2	2	NUM
ajst-19142	2	53	computer	computer	NOUN
ajst-19142	2	54	engineering	engineering	NOUN
ajst-19142	2	55	,	,	PUNCT
ajst-19142	2	56	new	new	PROPN
ajst-19142	2	57	york	york	PROPN
ajst-19142	2	58	university	university	PROPN
ajst-19142	2	59	,	,	PUNCT
ajst-19142	2	60	new	new	PROPN
ajst-19142	2	61	york	york	PROPN
ajst-19142	2	62	,	,	PUNCT
ajst-19142	2	63	ny	ny	PROPN
ajst-19142	2	64	,	,	PUNCT
ajst-19142	2	65	10012	10012	NUM
ajst-19142	2	66	,	,	PUNCT
ajst-19142	2	67	us	us	PROPN
ajst-19142	2	68	3	3	NUM
ajst-19142	2	69	computer	computer	NOUN
ajst-19142	2	70	science	science	NOUN
ajst-19142	2	71	,	,	PUNCT
ajst-19142	2	72	the	the	DET
ajst-19142	2	73	university	university	PROPN
ajst-19142	2	74	of	of	ADP
ajst-19142	2	75	texas	texas	PROPN
ajst-19142	2	76	at	at	ADP
ajst-19142	2	77	dallas	dallas	PROPN
ajst-19142	2	78	,	,	PUNCT
ajst-19142	2	79	tx	tx	PROPN
ajst-19142	2	80	,	,	PUNCT
ajst-19142	2	81	75080	75080	NUM
ajst-19142	2	82	,	,	PUNCT
ajst-19142	2	83	us	us	PROPN
ajst-19142	2	84	4	4	NUM
ajst-19142	2	85	mechanical	mechanical	ADJ
ajst-19142	2	86	engineering	engineering	NOUN
ajst-19142	2	87	and	and	CCONJ
ajst-19142	2	88	automation	automation	NOUN
ajst-19142	2	89	,	,	PUNCT
ajst-19142	2	90	the	the	DET
ajst-19142	2	91	george	george	PROPN
ajst-19142	2	92	washington	washington	PROPN
ajst-19142	2	93	university	university	PROPN
ajst-19142	2	94	,	,	PUNCT
ajst-19142	2	95	dc	dc	PROPN
ajst-19142	2	96	,	,	PUNCT
ajst-19142	2	97	20052	20052	NUM
ajst-19142	2	98	,	,	PUNCT
ajst-19142	2	99	us	we	PRON
ajst-19142	2	100	azengyihuang@gwmail.gwu.edu	azengyihuang@gwmail.gwu.edu	NOUN
ajst-19142	2	101	,	,	PUNCT
ajst-19142	2	102	bhz2687@nyu.edu	bhz2687@nyu.edu	PROPN
ajst-19142	2	103	,	,	PUNCT
ajst-19142	2	104	ccxl167330@utdallas.edu	ccxl167330@utdallas.edu	PROPN
ajst-19142	2	105	,	,	PUNCT
ajst-19142	2	106	*	*	PUNCT
ajst-19142	2	107	corresponding	correspond	VERB
ajst-19142	2	108	author	author	NOUN
ajst-19142	2	109	:	:	PUNCT
ajst-19142	2	110	chang	chang	PROPN
ajst-19142	2	111	che	che	X
ajst-19142	2	112	(	(	PUNCT
ajst-19142	2	113	e	e	NOUN
ajst-19142	2	114	-	-	NOUN
ajst-19142	2	115	mail	mail	NOUN
ajst-19142	2	116	:	:	PUNCT
ajst-19142	2	117	liamche1123@outlook.com	liamche1123@outlook.com	X
ajst-19142	2	118	)	)	PUNCT
ajst-19142	2	119	abstract	abstract	NOUN
ajst-19142	2	120	:	:	PUNCT
ajst-19142	2	121	in	in	ADP
ajst-19142	2	122	today	today	NOUN
ajst-19142	2	123	's	's	PART
ajst-19142	2	124	increasingly	increasingly	ADV
ajst-19142	2	125	digital	digital	ADJ
ajst-19142	2	126	financial	financial	ADJ
ajst-19142	2	127	landscape	landscape	NOUN
ajst-19142	2	128	,	,	PUNCT
ajst-19142	2	129	the	the	DET
ajst-19142	2	130	frequency	frequency	NOUN
ajst-19142	2	131	and	and	CCONJ
ajst-19142	2	132	complexity	complexity	NOUN
ajst-19142	2	133	of	of	ADP
ajst-19142	2	134	fraudulent	fraudulent	ADJ
ajst-19142	2	135	activities	activity	NOUN
ajst-19142	2	136	are	be	AUX
ajst-19142	2	137	on	on	ADP
ajst-19142	2	138	the	the	DET
ajst-19142	2	139	rise	rise	NOUN
ajst-19142	2	140	,	,	PUNCT
ajst-19142	2	141	posing	pose	VERB
ajst-19142	2	142	significant	significant	ADJ
ajst-19142	2	143	risks	risk	NOUN
ajst-19142	2	144	and	and	CCONJ
ajst-19142	2	145	losses	loss	NOUN
ajst-19142	2	146	for	for	ADP
ajst-19142	2	147	both	both	PRON
ajst-19142	2	148	financial	financial	ADJ
ajst-19142	2	149	institutions	institution	NOUN
ajst-19142	2	150	and	and	CCONJ
ajst-19142	2	151	consumers	consumer	NOUN
ajst-19142	2	152	.	.	PUNCT
ajst-19142	3	1	to	to	PART
ajst-19142	3	2	effectively	effectively	ADV
ajst-19142	3	3	tackle	tackle	VERB
ajst-19142	3	4	this	this	DET
ajst-19142	3	5	challenge	challenge	NOUN
ajst-19142	3	6	,	,	PUNCT
ajst-19142	3	7	this	this	DET
ajst-19142	3	8	paper	paper	NOUN
ajst-19142	3	9	proposes	propose	VERB
ajst-19142	3	10	a	a	DET
ajst-19142	3	11	machine	machine	NOUN
ajst-19142	3	12	learning	learning	NOUN
ajst-19142	3	13	-	-	PUNCT
ajst-19142	3	14	based	base	VERB
ajst-19142	3	15	k	k	NOUN
ajst-19142	3	16	-	-	PUNCT
ajst-19142	3	17	means	mean	VERB
ajst-19142	3	18	clustering	clustering	NOUN
ajst-19142	3	19	method	method	NOUN
ajst-19142	3	20	to	to	PART
ajst-19142	3	21	enhance	enhance	VERB
ajst-19142	3	22	the	the	DET
ajst-19142	3	23	accuracy	accuracy	NOUN
ajst-19142	3	24	and	and	CCONJ
ajst-19142	3	25	efficiency	efficiency	NOUN
ajst-19142	3	26	of	of	ADP
ajst-19142	3	27	financial	financial	ADJ
ajst-19142	3	28	fraud	fraud	NOUN
ajst-19142	3	29	detection	detection	NOUN
ajst-19142	3	30	.	.	PUNCT
ajst-19142	4	1	by	by	ADP
ajst-19142	4	2	clustering	cluster	VERB
ajst-19142	4	3	vast	vast	ADJ
ajst-19142	4	4	amounts	amount	NOUN
ajst-19142	4	5	of	of	ADP
ajst-19142	4	6	financial	financial	ADJ
ajst-19142	4	7	transaction	transaction	NOUN
ajst-19142	4	8	data	datum	NOUN
ajst-19142	4	9	,	,	PUNCT
ajst-19142	4	10	we	we	PRON
ajst-19142	4	11	can	can	AUX
ajst-19142	4	12	identify	identify	VERB
ajst-19142	4	13	anomalous	anomalous	ADJ
ajst-19142	4	14	patterns	pattern	NOUN
ajst-19142	4	15	and	and	CCONJ
ajst-19142	4	16	behaviors	behavior	NOUN
ajst-19142	4	17	in	in	ADP
ajst-19142	4	18	a	a	DET
ajst-19142	4	19	timely	timely	ADJ
ajst-19142	4	20	manner	manner	NOUN
ajst-19142	4	21	,	,	PUNCT
ajst-19142	4	22	thereby	thereby	ADV
ajst-19142	4	23	detecting	detect	VERB
ajst-19142	4	24	potential	potential	ADJ
ajst-19142	4	25	fraud	fraud	NOUN
ajst-19142	4	26	.	.	PUNCT
ajst-19142	5	1	compared	compare	VERB
ajst-19142	5	2	to	to	ADP
ajst-19142	5	3	traditional	traditional	ADJ
ajst-19142	5	4	rule	rule	NOUN
ajst-19142	5	5	-	-	PUNCT
ajst-19142	5	6	based	base	VERB
ajst-19142	5	7	detection	detection	NOUN
ajst-19142	5	8	methods	method	NOUN
ajst-19142	5	9	,	,	PUNCT
ajst-19142	5	10	machine	machine	NOUN
ajst-19142	5	11	learning	learning	NOUN
ajst-19142	5	12	-	-	PUNCT
ajst-19142	5	13	based	base	VERB
ajst-19142	5	14	approaches	approach	NOUN
ajst-19142	5	15	better	well	ADV
ajst-19142	5	16	adapt	adapt	VERB
ajst-19142	5	17	to	to	ADP
ajst-19142	5	18	ever	ever	ADV
ajst-19142	5	19	-	-	PUNCT
ajst-19142	5	20	evolving	evolve	VERB
ajst-19142	5	21	fraud	fraud	NOUN
ajst-19142	5	22	techniques	technique	NOUN
ajst-19142	5	23	and	and	CCONJ
ajst-19142	5	24	patterns	pattern	NOUN
ajst-19142	5	25	while	while	SCONJ
ajst-19142	5	26	improving	improve	VERB
ajst-19142	5	27	flexibility	flexibility	NOUN
ajst-19142	5	28	and	and	CCONJ
ajst-19142	5	29	precision	precision	NOUN
ajst-19142	5	30	in	in	ADP
ajst-19142	5	31	detection	detection	NOUN
ajst-19142	5	32	.	.	PUNCT
ajst-19142	6	1	moreover	moreover	ADV
ajst-19142	6	2	,	,	PUNCT
ajst-19142	6	3	k	k	X
ajst-19142	6	4	-	-	PUNCT
ajst-19142	6	5	means	mean	VERB
ajst-19142	6	6	clustering	clustering	NOUN
ajst-19142	6	7	also	also	ADV
ajst-19142	6	8	aids	aid	VERB
ajst-19142	6	9	in	in	ADP
ajst-19142	6	10	optimizing	optimize	VERB
ajst-19142	6	11	resource	resource	NOUN
ajst-19142	6	12	allocation	allocation	NOUN
ajst-19142	6	13	within	within	ADP
ajst-19142	6	14	financial	financial	ADJ
ajst-19142	6	15	institutions	institution	NOUN
ajst-19142	6	16	by	by	ADP
ajst-19142	6	17	enabling	enable	VERB
ajst-19142	6	18	focused	focus	VERB
ajst-19142	6	19	monitoring	monitoring	NOUN
ajst-19142	6	20	and	and	CCONJ
ajst-19142	6	21	prevention	prevention	NOUN
ajst-19142	6	22	efforts	effort	NOUN
ajst-19142	6	23	in	in	ADP
ajst-19142	6	24	high	high	ADJ
ajst-19142	6	25	-	-	PUNCT
ajst-19142	6	26	risk	risk	NOUN
ajst-19142	6	27	areas	area	NOUN
ajst-19142	6	28	,	,	PUNCT
ajst-19142	6	29	thus	thus	ADV
ajst-19142	6	30	effectively	effectively	ADV
ajst-19142	6	31	mitigating	mitigate	VERB
ajst-19142	6	32	the	the	DET
ajst-19142	6	33	impact	impact	NOUN
ajst-19142	6	34	of	of	ADP
ajst-19142	6	35	fraud	fraud	NOUN
ajst-19142	6	36	on	on	ADP
ajst-19142	6	37	the	the	DET
ajst-19142	6	38	overall	overall	ADJ
ajst-19142	6	39	financial	financial	ADJ
ajst-19142	6	40	system	system	NOUN
ajst-19142	6	41	.	.	PUNCT
ajst-19142	7	1	in	in	ADP
ajst-19142	7	2	summary	summary	NOUN
ajst-19142	7	3	,	,	PUNCT
ajst-19142	7	4	the	the	DET
ajst-19142	7	5	machine	machine	NOUN
ajst-19142	7	6	learning	learning	NOUN
ajst-19142	7	7	-	-	PUNCT
ajst-19142	7	8	based	base	VERB
ajst-19142	7	9	k	k	NOUN
ajst-19142	7	10	-	-	PUNCT
ajst-19142	7	11	means	mean	VERB
ajst-19142	7	12	clustering	clustering	NOUN
ajst-19142	7	13	method	method	NOUN
ajst-19142	7	14	holds	hold	VERB
ajst-19142	7	15	promising	promise	VERB
ajst-19142	7	16	prospects	prospect	NOUN
ajst-19142	7	17	for	for	ADP
ajst-19142	7	18	application	application	NOUN
ajst-19142	7	19	in	in	ADP
ajst-19142	7	20	the	the	DET
ajst-19142	7	21	field	field	NOUN
ajst-19142	7	22	of	of	ADP
ajst-19142	7	23	financial	financial	ADJ
ajst-19142	7	24	fraud	fraud	NOUN
ajst-19142	7	25	detection	detection	NOUN
ajst-19142	7	26	as	as	SCONJ
ajst-19142	7	27	it	it	PRON
ajst-19142	7	28	strives	strive	VERB
ajst-19142	7	29	to	to	PART
ajst-19142	7	30	establish	establish	VERB
ajst-19142	7	31	a	a	DET
ajst-19142	7	32	more	more	ADV
ajst-19142	7	33	secure	secure	ADJ
ajst-19142	7	34	and	and	CCONJ
ajst-19142	7	35	reliable	reliable	ADJ
ajst-19142	7	36	transaction	transaction	NOUN
ajst-19142	7	37	environment	environment	NOUN
ajst-19142	7	38	for	for	ADP
ajst-19142	7	39	the	the	DET
ajst-19142	7	40	finance	finance	NOUN
ajst-19142	7	41	industry	industry	NOUN
ajst-19142	7	42	.	.	PUNCT
ajst-19142	8	1	keywords	keyword	NOUN
ajst-19142	8	2	:	:	PUNCT
ajst-19142	8	3	financial	financial	ADJ
ajst-19142	8	4	fraud	fraud	NOUN
ajst-19142	8	5	detection	detection	NOUN
ajst-19142	8	6	,	,	PUNCT
ajst-19142	8	7	machine	machine	NOUN
ajst-19142	8	8	learning	learning	NOUN
ajst-19142	8	9	-	-	PUNCT
ajst-19142	8	10	based	base	VERB
ajst-19142	8	11	,	,	PUNCT
ajst-19142	8	12	k	k	ADJ
ajst-19142	8	13	-	-	PUNCT
ajst-19142	8	14	means	means	NOUN
ajst-19142	8	15	clustering	clustering	NOUN
ajst-19142	8	16	,	,	PUNCT
ajst-19142	8	17	digital	digital	ADJ
ajst-19142	8	18	financial	financial	ADJ
ajst-19142	8	19	landscape	landscape	NOUN
ajst-19142	8	20	.	.	PUNCT
ajst-19142	9	1	1	1	X
ajst-19142	9	2	.	.	X
ajst-19142	9	3	introduction	introduction	NOUN
ajst-19142	9	4	after	after	ADP
ajst-19142	9	5	the	the	DET
ajst-19142	9	6	1970s	1970	NOUN
ajst-19142	9	7	,	,	PUNCT
ajst-19142	9	8	with	with	ADP
ajst-19142	9	9	the	the	DET
ajst-19142	9	10	development	development	NOUN
ajst-19142	9	11	of	of	ADP
ajst-19142	9	12	the	the	DET
ajst-19142	9	13	international	international	ADJ
ajst-19142	9	14	financial	financial	ADJ
ajst-19142	9	15	system	system	NOUN
ajst-19142	9	16	,	,	PUNCT
ajst-19142	9	17	worldwide	worldwide	ADJ
ajst-19142	9	18	economic	economic	ADJ
ajst-19142	9	19	integration	integration	NOUN
ajst-19142	9	20	,	,	PUNCT
ajst-19142	9	21	and	and	CCONJ
ajst-19142	9	22	the	the	DET
ajst-19142	9	23	development	development	NOUN
ajst-19142	9	24	of	of	ADP
ajst-19142	9	25	information	information	NOUN
ajst-19142	9	26	technology	technology	NOUN
ajst-19142	9	27	,	,	PUNCT
ajst-19142	9	28	international	international	ADJ
ajst-19142	9	29	finance	finance	NOUN
ajst-19142	9	30	has	have	AUX
ajst-19142	9	31	become	become	VERB
ajst-19142	9	32	increasingly	increasingly	ADV
ajst-19142	9	33	inseparable	inseparable	ADJ
ajst-19142	9	34	.	.	PUNCT
ajst-19142	10	1	as	as	ADP
ajst-19142	10	2	a	a	DET
ajst-19142	10	3	result	result	NOUN
ajst-19142	10	4	,	,	PUNCT
ajst-19142	10	5	moneylaundering	moneylaundere	VERB
ajst-19142	10	6	crimes	crime	NOUN
ajst-19142	10	7	have	have	AUX
ajst-19142	10	8	become	become	VERB
ajst-19142	10	9	increasingly	increasingly	ADV
ajst-19142	10	10	complex	complex	ADJ
ajst-19142	10	11	and	and	CCONJ
ajst-19142	10	12	difficult	difficult	ADJ
ajst-19142	10	13	to	to	PART
ajst-19142	10	14	identify	identify	VERB
ajst-19142	10	15	.	.	PUNCT
ajst-19142	11	1	therefore	therefore	ADV
ajst-19142	11	2	,	,	PUNCT
ajst-19142	11	3	all	all	DET
ajst-19142	11	4	kinds	kind	NOUN
ajst-19142	11	5	of	of	ADP
ajst-19142	11	6	new	new	ADJ
ajst-19142	11	7	money	money	NOUN
ajst-19142	11	8	laundering	laundering	NOUN
ajst-19142	11	9	methods	method	NOUN
ajst-19142	11	10	continue	continue	VERB
ajst-19142	11	11	to	to	PART
ajst-19142	11	12	emerge	emerge	VERB
ajst-19142	11	13	,	,	PUNCT
ajst-19142	11	14	and	and	CCONJ
ajst-19142	11	15	money	money	NOUN
ajst-19142	11	16	laundering	laundering	NOUN
ajst-19142	11	17	activities	activity	NOUN
ajst-19142	11	18	are	be	AUX
ajst-19142	11	19	more	more	ADV
ajst-19142	11	20	and	and	CCONJ
ajst-19142	11	21	more	more	ADV
ajst-19142	11	22	frequent	frequent	ADJ
ajst-19142	11	23	,	,	PUNCT
ajst-19142	11	24	which	which	PRON
ajst-19142	11	25	are	be	AUX
ajst-19142	11	26	characterized	characterize	VERB
ajst-19142	11	27	by	by	ADP
ajst-19142	11	28	:	:	PUNCT
ajst-19142	11	29	first	first	ADV
ajst-19142	11	30	,	,	PUNCT
ajst-19142	11	31	the	the	DET
ajst-19142	11	32	domestic	domestic	ADJ
ajst-19142	11	33	criminal	criminal	ADJ
ajst-19142	11	34	proceeds	proceed	NOUN
ajst-19142	11	35	are	be	AUX
ajst-19142	11	36	systematically	systematically	ADV
ajst-19142	11	37	transferred	transfer	VERB
ajst-19142	11	38	to	to	ADP
ajst-19142	11	39	foreign	foreign	ADJ
ajst-19142	11	40	countries	country	NOUN
ajst-19142	11	41	in	in	ADP
ajst-19142	11	42	the	the	DET
ajst-19142	11	43	way	way	NOUN
ajst-19142	11	44	of	of	ADP
ajst-19142	11	45	underground	underground	ADJ
ajst-19142	11	46	banks[1	banks[1	NOUN
ajst-19142	11	47	]	]	X
ajst-19142	11	48	.	.	PUNCT
ajst-19142	12	1	first	first	ADV
ajst-19142	12	2	,	,	PUNCT
ajst-19142	12	3	the	the	DET
ajst-19142	12	4	money	money	NOUN
ajst-19142	12	5	that	that	PRON
ajst-19142	12	6	is	be	AUX
ajst-19142	12	7	cleaned	clean	VERB
ajst-19142	12	8	in	in	ADP
ajst-19142	12	9	the	the	DET
ajst-19142	12	10	country	country	NOUN
ajst-19142	12	11	is	be	AUX
ajst-19142	12	12	transferred	transfer	VERB
ajst-19142	12	13	from	from	ADP
ajst-19142	12	14	the	the	DET
ajst-19142	12	15	recipient	recipient	NOUN
ajst-19142	12	16	to	to	ADP
ajst-19142	12	17	the	the	DET
ajst-19142	12	18	operator	operator	NOUN
ajst-19142	12	19	of	of	ADP
ajst-19142	12	20	the	the	DET
ajst-19142	12	21	underground	underground	ADJ
ajst-19142	12	22	bank	bank	NOUN
ajst-19142	12	23	,	,	PUNCT
ajst-19142	12	24	and	and	CCONJ
ajst-19142	12	25	the	the	DET
ajst-19142	12	26	laundered	launder	VERB
ajst-19142	12	27	money	money	NOUN
ajst-19142	12	28	is	be	AUX
ajst-19142	12	29	obtained	obtain	VERB
ajst-19142	12	30	from	from	ADP
ajst-19142	12	31	the	the	DET
ajst-19142	12	32	accomplices	accomplice	NOUN
ajst-19142	12	33	abroad	abroad	ADV
ajst-19142	12	34	;	;	PUNCT
ajst-19142	12	35	the	the	DET
ajst-19142	12	36	second	second	NOUN
ajst-19142	12	37	is	be	AUX
ajst-19142	12	38	the	the	DET
ajst-19142	12	39	signing	signing	NOUN
ajst-19142	12	40	of	of	ADP
ajst-19142	12	41	forged	forge	VERB
ajst-19142	12	42	import	import	NOUN
ajst-19142	12	43	contracts	contract	NOUN
ajst-19142	12	44	with	with	ADP
ajst-19142	12	45	foreign	foreign	ADJ
ajst-19142	12	46	companies	company	NOUN
ajst-19142	12	47	,	,	PUNCT
ajst-19142	12	48	the	the	DET
ajst-19142	12	49	use	use	NOUN
ajst-19142	12	50	of	of	ADP
ajst-19142	12	51	bank	bank	NOUN
ajst-19142	12	52	letters	letter	NOUN
ajst-19142	12	53	of	of	ADP
ajst-19142	12	54	credit	credit	NOUN
ajst-19142	12	55	payment	payment	NOUN
ajst-19142	12	56	,	,	PUNCT
ajst-19142	12	57	the	the	DET
ajst-19142	12	58	transfer	transfer	NOUN
ajst-19142	12	59	of	of	ADP
ajst-19142	12	60	criminal	criminal	ADJ
ajst-19142	12	61	funds	fund	NOUN
ajst-19142	12	62	to	to	ADP
ajst-19142	12	63	overseas	overseas	ADV
ajst-19142	12	64	,	,	PUNCT
ajst-19142	12	65	the	the	DET
ajst-19142	12	66	financial	financial	ADJ
ajst-19142	12	67	secrecy	secrecy	NOUN
ajst-19142	12	68	mechanism	mechanism	NOUN
ajst-19142	12	69	is	be	AUX
ajst-19142	12	70	relatively	relatively	ADV
ajst-19142	12	71	more	more	ADV
ajst-19142	12	72	strict	strict	ADJ
ajst-19142	12	73	countries	country	NOUN
ajst-19142	12	74	and	and	CCONJ
ajst-19142	12	75	regions	region	NOUN
ajst-19142	12	76	.	.	PUNCT
ajst-19142	13	1	at	at	ADP
ajst-19142	13	2	the	the	DET
ajst-19142	13	3	same	same	ADJ
ajst-19142	13	4	time	time	NOUN
ajst-19142	13	5	,	,	PUNCT
ajst-19142	13	6	financial	financial	ADJ
ajst-19142	13	7	fraud	fraud	NOUN
ajst-19142	13	8	will	will	AUX
ajst-19142	13	9	also	also	ADV
ajst-19142	13	10	bring	bring	VERB
ajst-19142	13	11	great	great	ADJ
ajst-19142	13	12	impact	impact	NOUN
ajst-19142	13	13	to	to	ADP
ajst-19142	13	14	the	the	DET
ajst-19142	13	15	world	world	NOUN
ajst-19142	13	16	's	's	PART
ajst-19142	13	17	financial	financial	ADJ
ajst-19142	13	18	system	system	NOUN
ajst-19142	13	19	,	,	PUNCT
ajst-19142	13	20	and	and	CCONJ
ajst-19142	13	21	become	become	VERB
ajst-19142	13	22	an	an	DET
ajst-19142	13	23	important	important	ADJ
ajst-19142	13	24	factor	factor	NOUN
ajst-19142	13	25	restricting	restrict	VERB
ajst-19142	13	26	the	the	DET
ajst-19142	13	27	sustainable	sustainable	ADJ
ajst-19142	13	28	and	and	CCONJ
ajst-19142	13	29	healthy	healthy	ADJ
ajst-19142	13	30	development	development	NOUN
ajst-19142	13	31	of	of	ADP
ajst-19142	13	32	china	china	PROPN
ajst-19142	13	33	's	's	PART
ajst-19142	13	34	insurance	insurance	NOUN
ajst-19142	13	35	industry	industry	NOUN
ajst-19142	13	36	.	.	PUNCT
ajst-19142	14	1	although	although	SCONJ
ajst-19142	14	2	the	the	DET
ajst-19142	14	3	transaction	transaction	NOUN
ajst-19142	14	4	reporting	report	VERB
ajst-19142	14	5	systems	system	NOUN
ajst-19142	14	6	of	of	ADP
ajst-19142	14	7	various	various	ADJ
ajst-19142	14	8	countries	country	NOUN
ajst-19142	14	9	list	list	VERB
ajst-19142	14	10	a	a	DET
ajst-19142	14	11	large	large	ADJ
ajst-19142	14	12	number	number	NOUN
ajst-19142	14	13	of	of	ADP
ajst-19142	14	14	suspicious	suspicious	ADJ
ajst-19142	14	15	transactions	transaction	NOUN
ajst-19142	14	16	,	,	PUNCT
ajst-19142	14	17	for	for	ADP
ajst-19142	14	18	example	example	NOUN
ajst-19142	14	19	,	,	PUNCT
ajst-19142	14	20	the	the	DET
ajst-19142	14	21	united	united	PROPN
ajst-19142	14	22	states	states	PROPN
ajst-19142	14	23	"	"	PUNCT
ajst-19142	14	24	anti	anti	ADJ
ajst-19142	14	25	-	-	ADJ
ajst-19142	14	26	money	money	ADJ
ajst-19142	14	27	laundering	laundering	NOUN
ajst-19142	14	28	work	work	NOUN
ajst-19142	14	29	guidelines	guideline	NOUN
ajst-19142	14	30	"	"	PUNCT
ajst-19142	14	31	for	for	ADP
ajst-19142	14	32	the	the	DET
ajst-19142	14	33	identification	identification	NOUN
ajst-19142	14	34	of	of	ADP
ajst-19142	14	35	more	more	ADJ
ajst-19142	14	36	than	than	ADP
ajst-19142	14	37	50	50	NUM
ajst-19142	14	38	illegal	illegal	ADJ
ajst-19142	14	39	transactions	transaction	NOUN
ajst-19142	14	40	,	,	PUNCT
ajst-19142	14	41	the	the	DET
ajst-19142	14	42	"	"	PUNCT
ajst-19142	14	43	financial	financial	ADJ
ajst-19142	14	44	institutions	institution	NOUN
ajst-19142	14	45	large	large	ADJ
ajst-19142	14	46	transactions	transaction	NOUN
ajst-19142	14	47	and	and	CCONJ
ajst-19142	14	48	suspicious	suspicious	ADJ
ajst-19142	14	49	transaction	transaction	NOUN
ajst-19142	14	50	reporting	reporting	NOUN
ajst-19142	14	51	management	management	NOUN
ajst-19142	14	52	measures	measure	NOUN
ajst-19142	14	53	"	"	PUNCT
ajst-19142	14	54	has	have	AUX
ajst-19142	14	55	clarified	clarify	VERB
ajst-19142	14	56	the	the	DET
ajst-19142	14	57	basic	basic	ADJ
ajst-19142	14	58	characteristics	characteristic	NOUN
ajst-19142	14	59	of	of	ADP
ajst-19142	14	60	48	48	NUM
ajst-19142	14	61	suspicious	suspicious	ADJ
ajst-19142	14	62	transactions	transaction	NOUN
ajst-19142	14	63	.	.	PUNCT
ajst-19142	15	1	however	however	ADV
ajst-19142	15	2	,	,	PUNCT
ajst-19142	15	3	the	the	DET
ajst-19142	15	4	above	above	ADJ
ajst-19142	15	5	guidelines	guideline	NOUN
ajst-19142	15	6	only	only	ADV
ajst-19142	15	7	provide	provide	VERB
ajst-19142	15	8	a	a	DET
ajst-19142	15	9	basic	basic	ADJ
ajst-19142	15	10	screening	screening	NOUN
ajst-19142	15	11	structure	structure	NOUN
ajst-19142	15	12	for	for	ADP
ajst-19142	15	13	the	the	DET
ajst-19142	15	14	identification	identification	NOUN
ajst-19142	15	15	of	of	ADP
ajst-19142	15	16	suspicious	suspicious	ADJ
ajst-19142	15	17	transactions	transaction	NOUN
ajst-19142	15	18	,	,	PUNCT
ajst-19142	15	19	and	and	CCONJ
ajst-19142	15	20	usually	usually	ADV
ajst-19142	15	21	the	the	DET
ajst-19142	15	22	criteria	criterion	NOUN
ajst-19142	15	23	are	be	AUX
ajst-19142	15	24	based	base	VERB
ajst-19142	15	25	on	on	ADP
ajst-19142	15	26	the	the	DET
ajst-19142	15	27	existing	exist	VERB
ajst-19142	15	28	ways	way	NOUN
ajst-19142	15	29	and	and	CCONJ
ajst-19142	15	30	methods	method	NOUN
ajst-19142	15	31	of	of	ADP
ajst-19142	15	32	money	money	NOUN
ajst-19142	15	33	laundering	laundering	NOUN
ajst-19142	15	34	,	,	PUNCT
ajst-19142	15	35	while	while	SCONJ
ajst-19142	15	36	some	some	DET
ajst-19142	15	37	new	new	ADJ
ajst-19142	15	38	money	money	NOUN
ajst-19142	15	39	laundering	laundering	NOUN
ajst-19142	15	40	activities	activity	NOUN
ajst-19142	15	41	are	be	AUX
ajst-19142	15	42	difficult	difficult	ADJ
ajst-19142	15	43	to	to	PART
ajst-19142	15	44	effectively	effectively	ADV
ajst-19142	15	45	identify[2	identify[2	PRON
ajst-19142	15	46	]	]	PUNCT
ajst-19142	15	47	.	.	PUNCT
ajst-19142	16	1	the	the	DET
ajst-19142	16	2	evolution	evolution	NOUN
ajst-19142	16	3	of	of	ADP
ajst-19142	16	4	money	money	NOUN
ajst-19142	16	5	laundering	laundering	NOUN
ajst-19142	16	6	crime	crime	NOUN
ajst-19142	16	7	will	will	AUX
ajst-19142	16	8	make	make	VERB
ajst-19142	16	9	the	the	DET
ajst-19142	16	10	above	above	ADJ
ajst-19142	16	11	criteria	criterion	NOUN
ajst-19142	16	12	ineffective	ineffective	ADJ
ajst-19142	16	13	,	,	PUNCT
ajst-19142	16	14	and	and	CCONJ
ajst-19142	16	15	this	this	DET
ajst-19142	16	16	backward	backward	ADJ
ajst-19142	16	17	supervision	supervision	NOUN
ajst-19142	16	18	means	mean	NOUN
ajst-19142	16	19	and	and	CCONJ
ajst-19142	16	20	discrimination	discrimination	NOUN
ajst-19142	16	21	criteria	criterion	NOUN
ajst-19142	16	22	can	can	AUX
ajst-19142	16	23	not	not	PART
ajst-19142	16	24	effectively	effectively	ADV
ajst-19142	16	25	deal	deal	VERB
ajst-19142	16	26	with	with	ADP
ajst-19142	16	27	complex	complex	ADJ
ajst-19142	16	28	financial	financial	ADJ
ajst-19142	16	29	crimes	crime	NOUN
ajst-19142	16	30	.	.	PUNCT
ajst-19142	17	1	the	the	DET
ajst-19142	17	2	identification	identification	NOUN
ajst-19142	17	3	of	of	ADP
ajst-19142	17	4	money	money	NOUN
ajst-19142	17	5	laundering	laundering	NOUN
ajst-19142	17	6	and	and	CCONJ
ajst-19142	17	7	suspected	suspect	VERB
ajst-19142	17	8	transactions	transaction	NOUN
ajst-19142	17	9	is	be	AUX
ajst-19142	17	10	very	very	ADV
ajst-19142	17	11	complicated	complicated	ADJ
ajst-19142	17	12	,	,	PUNCT
ajst-19142	17	13	not	not	PART
ajst-19142	17	14	only	only	ADV
ajst-19142	17	15	there	there	PRON
ajst-19142	17	16	should	should	AUX
ajst-19142	17	17	be	be	AUX
ajst-19142	17	18	a	a	DET
ajst-19142	17	19	large	large	ADJ
ajst-19142	17	20	amount	amount	NOUN
ajst-19142	17	21	of	of	ADP
ajst-19142	17	22	data	datum	NOUN
ajst-19142	17	23	,	,	PUNCT
ajst-19142	17	24	but	but	CCONJ
ajst-19142	17	25	also	also	ADV
ajst-19142	17	26	a	a	DET
ajst-19142	17	27	more	more	ADV
ajst-19142	17	28	professional	professional	ADJ
ajst-19142	17	29	means	mean	NOUN
ajst-19142	17	30	of	of	ADP
ajst-19142	17	31	identification	identification	NOUN
ajst-19142	17	32	,	,	PUNCT
ajst-19142	17	33	and	and	CCONJ
ajst-19142	17	34	it	it	PRON
ajst-19142	17	35	should	should	AUX
ajst-19142	17	36	be	be	AUX
ajst-19142	17	37	constantly	constantly	ADV
ajst-19142	17	38	updated	update	VERB
ajst-19142	17	39	.	.	PUNCT
ajst-19142	18	1	as	as	SCONJ
ajst-19142	18	2	the	the	DET
ajst-19142	18	3	current	current	ADJ
ajst-19142	18	4	money	money	NOUN
ajst-19142	18	5	-	-	PUNCT
ajst-19142	18	6	laundering	launder	VERB
ajst-19142	18	7	behavior	behavior	NOUN
ajst-19142	18	8	is	be	AUX
ajst-19142	18	9	highly	highly	ADV
ajst-19142	18	10	concealed	conceal	VERB
ajst-19142	18	11	,	,	PUNCT
ajst-19142	18	12	the	the	DET
ajst-19142	18	13	means	mean	NOUN
ajst-19142	18	14	emerge	emerge	VERB
ajst-19142	18	15	in	in	ADP
ajst-19142	18	16	an	an	DET
ajst-19142	18	17	endless	endless	ADJ
ajst-19142	18	18	stream	stream	NOUN
ajst-19142	18	19	,	,	PUNCT
ajst-19142	18	20	and	and	CCONJ
ajst-19142	18	21	the	the	DET
ajst-19142	18	22	transaction	transaction	NOUN
ajst-19142	18	23	volume	volume	NOUN
ajst-19142	18	24	increases	increase	VERB
ajst-19142	18	25	exponentially	exponentially	ADV
ajst-19142	18	26	,	,	PUNCT
ajst-19142	18	27	it	it	PRON
ajst-19142	18	28	is	be	AUX
ajst-19142	18	29	necessary	necessary	ADJ
ajst-19142	18	30	to	to	PART
ajst-19142	18	31	make	make	VERB
ajst-19142	18	32	new	new	ADJ
ajst-19142	18	33	supervision	supervision	NOUN
ajst-19142	18	34	methods	method	NOUN
ajst-19142	18	35	for	for	ADP
ajst-19142	18	36	financial	financial	ADJ
ajst-19142	18	37	fraud	fraud	NOUN
ajst-19142	18	38	,	,	PUNCT
ajst-19142	18	39	so	so	SCONJ
ajst-19142	18	40	as	as	SCONJ
ajst-19142	18	41	to	to	PART
ajst-19142	18	42	ensure	ensure	VERB
ajst-19142	18	43	financial	financial	ADJ
ajst-19142	18	44	security	security	NOUN
ajst-19142	18	45	.	.	PUNCT
ajst-19142	19	1	this	this	DET
ajst-19142	19	2	paper	paper	NOUN
ajst-19142	19	3	explores	explore	VERB
ajst-19142	19	4	the	the	DET
ajst-19142	19	5	application	application	NOUN
ajst-19142	19	6	of	of	ADP
ajst-19142	19	7	machine	machine	NOUN
ajst-19142	19	8	learningbased	learningbase	VERB
ajst-19142	19	9	k	k	PROPN
ajst-19142	19	10	-	-	PUNCT
ajst-19142	19	11	means	means	NOUN
ajst-19142	19	12	clustering	cluster	VERB
ajst-19142	19	13	in	in	ADP
ajst-19142	19	14	the	the	DET
ajst-19142	19	15	realm	realm	NOUN
ajst-19142	19	16	of	of	ADP
ajst-19142	19	17	financial	financial	ADJ
ajst-19142	19	18	fraud	fraud	NOUN
ajst-19142	19	19	detection	detection	NOUN
ajst-19142	19	20	as	as	ADP
ajst-19142	19	21	a	a	DET
ajst-19142	19	22	response	response	NOUN
ajst-19142	19	23	to	to	ADP
ajst-19142	19	24	these	these	DET
ajst-19142	19	25	challenges	challenge	NOUN
ajst-19142	19	26	.	.	PUNCT
ajst-19142	20	1	by	by	ADP
ajst-19142	20	2	leveraging	leverage	VERB
ajst-19142	20	3	advanced	advanced	ADJ
ajst-19142	20	4	data	datum	NOUN
ajst-19142	20	5	analytics	analytic	NOUN
ajst-19142	20	6	techniques	technique	NOUN
ajst-19142	20	7	,	,	PUNCT
ajst-19142	20	8	including	include	VERB
ajst-19142	20	9	machine	machine	NOUN
ajst-19142	20	10	learning	learn	VERB
ajst-19142	20	11	algorithms	algorithm	NOUN
ajst-19142	20	12	and	and	CCONJ
ajst-19142	20	13	clustering	cluster	VERB
ajst-19142	20	14	methodologies	methodology	NOUN
ajst-19142	20	15	,	,	PUNCT
ajst-19142	20	16	the	the	DET
ajst-19142	20	17	research	research	NOUN
ajst-19142	20	18	aims	aim	VERB
ajst-19142	20	19	to	to	PART
ajst-19142	20	20	enhance	enhance	VERB
ajst-19142	20	21	the	the	DET
ajst-19142	20	22	accuracy	accuracy	NOUN
ajst-19142	20	23	and	and	CCONJ
ajst-19142	20	24	efficiency	efficiency	NOUN
ajst-19142	20	25	of	of	ADP
ajst-19142	20	26	detecting	detect	VERB
ajst-19142	20	27	suspicious	suspicious	ADJ
ajst-19142	20	28	financial	financial	ADJ
ajst-19142	20	29	transactions	transaction	NOUN
ajst-19142	20	30	.	.	PUNCT
ajst-19142	21	1	in	in	ADP
ajst-19142	21	2	doing	do	VERB
ajst-19142	21	3	so	so	ADV
ajst-19142	21	4	,	,	PUNCT
ajst-19142	21	5	it	it	PRON
ajst-19142	21	6	seeks	seek	VERB
ajst-19142	21	7	to	to	PART
ajst-19142	21	8	address	address	VERB
ajst-19142	21	9	the	the	DET
ajst-19142	21	10	limitations	limitation	NOUN
ajst-19142	21	11	of	of	ADP
ajst-19142	21	12	traditional	traditional	ADJ
ajst-19142	21	13	rule	rule	NOUN
ajst-19142	21	14	-	-	PUNCT
ajst-19142	21	15	based	base	VERB
ajst-19142	21	16	detection	detection	NOUN
ajst-19142	21	17	methods	method	NOUN
ajst-19142	21	18	,	,	PUNCT
ajst-19142	21	19	which	which	PRON
ajst-19142	21	20	often	often	ADV
ajst-19142	21	21	struggle	struggle	VERB
ajst-19142	21	22	to	to	PART
ajst-19142	21	23	adapt	adapt	VERB
ajst-19142	21	24	to	to	ADP
ajst-19142	21	25	evolving	evolve	VERB
ajst-19142	21	26	fraud	fraud	NOUN
ajst-19142	21	27	techniques	technique	NOUN
ajst-19142	21	28	.	.	PUNCT
ajst-19142	22	1	through	through	ADP
ajst-19142	22	2	the	the	DET
ajst-19142	22	3	development	development	NOUN
ajst-19142	22	4	and	and	CCONJ
ajst-19142	22	5	implementation	implementation	NOUN
ajst-19142	22	6	of	of	ADP
ajst-19142	22	7	innovative	innovative	ADJ
ajst-19142	22	8	detection	detection	NOUN
ajst-19142	22	9	frameworks	framework	NOUN
ajst-19142	22	10	,	,	PUNCT
ajst-19142	22	11	the	the	DET
ajst-19142	22	12	study	study	NOUN
ajst-19142	22	13	endeavors	endeavor	VERB
ajst-19142	22	14	to	to	PART
ajst-19142	22	15	contribute	contribute	VERB
ajst-19142	22	16	to	to	ADP
ajst-19142	22	17	the	the	DET
ajst-19142	22	18	establishment	establishment	NOUN
ajst-19142	22	19	of	of	ADP
ajst-19142	22	20	a	a	DET
ajst-19142	22	21	more	more	ADV
ajst-19142	22	22	secure	secure	ADJ
ajst-19142	22	23	and	and	CCONJ
ajst-19142	22	24	reliable	reliable	ADJ
ajst-19142	22	25	transaction	transaction	NOUN
ajst-19142	22	26	environment	environment	NOUN
ajst-19142	22	27	within	within	ADP
ajst-19142	22	28	the	the	DET
ajst-19142	22	29	global	global	ADJ
ajst-19142	22	30	financial	financial	ADJ
ajst-19142	22	31	system	system	NOUN
ajst-19142	22	32	.	.	PUNCT
ajst-19142	23	1	34	34	NUM
ajst-19142	23	2	2	2	NUM
ajst-19142	23	3	.	.	PUNCT
ajst-19142	23	4	related	relate	VERB
ajst-19142	23	5	work	work	NOUN
ajst-19142	23	6	2.1	2.1	NUM
ajst-19142	23	7	.	.	PUNCT
ajst-19142	23	8	machine	machine	NOUN
ajst-19142	23	9	learning	learning	NOUN
ajst-19142	23	10	and	and	CCONJ
ajst-19142	23	11	financial	financial	ADJ
ajst-19142	23	12	fraud	fraud	NOUN
ajst-19142	23	13	detection	detection	NOUN
ajst-19142	23	14	machine	machine	NOUN
ajst-19142	23	15	learning	learning	NOUN
ajst-19142	23	16	is	be	AUX
ajst-19142	23	17	a	a	DET
ajst-19142	23	18	subset	subset	NOUN
ajst-19142	23	19	of	of	ADP
ajst-19142	23	20	artificial	artificial	ADJ
ajst-19142	23	21	intelligence	intelligence	NOUN
ajst-19142	23	22	that	that	PRON
ajst-19142	23	23	gives	give	VERB
ajst-19142	23	24	systems	system	NOUN
ajst-19142	23	25	the	the	DET
ajst-19142	23	26	ability	ability	NOUN
ajst-19142	23	27	to	to	PART
ajst-19142	23	28	learn	learn	VERB
ajst-19142	23	29	and	and	CCONJ
ajst-19142	23	30	improve	improve	VERB
ajst-19142	23	31	automatically	automatically	ADV
ajst-19142	23	32	from	from	ADP
ajst-19142	23	33	experience	experience	NOUN
ajst-19142	23	34	without	without	ADP
ajst-19142	23	35	explicit	explicit	ADJ
ajst-19142	23	36	programming	programming	NOUN
ajst-19142	23	37	.	.	PUNCT
ajst-19142	24	1	that	that	PRON
ajst-19142	24	2	said	say	VERB
ajst-19142	24	3	,	,	PUNCT
ajst-19142	24	4	we	we	PRON
ajst-19142	24	5	(	(	PUNCT
ajst-19142	24	6	humans	human	NOUN
ajst-19142	24	7	)	)	PUNCT
ajst-19142	24	8	can	can	AUX
ajst-19142	24	9	already	already	ADV
ajst-19142	24	10	provide	provide	VERB
ajst-19142	24	11	a	a	DET
ajst-19142	24	12	computer	computer	NOUN
ajst-19142	24	13	with	with	ADP
ajst-19142	24	14	large	large	ADJ
ajst-19142	24	15	data	datum	NOUN
ajst-19142	24	16	sets	set	NOUN
ajst-19142	24	17	to	to	PART
ajst-19142	24	18	learn	learn	VERB
ajst-19142	24	19	patterns	pattern	NOUN
ajst-19142	24	20	so	so	SCONJ
ajst-19142	24	21	that	that	SCONJ
ajst-19142	24	22	it	it	PRON
ajst-19142	24	23	can	can	AUX
ajst-19142	24	24	learn	learn	VERB
ajst-19142	24	25	how	how	SCONJ
ajst-19142	24	26	to	to	PART
ajst-19142	24	27	make	make	VERB
ajst-19142	24	28	decisions	decision	NOUN
ajst-19142	24	29	when	when	SCONJ
ajst-19142	24	30	faced	face	VERB
ajst-19142	24	31	with	with	ADP
ajst-19142	24	32	one	one	NUM
ajst-19142	24	33	or	or	CCONJ
ajst-19142	24	34	more	more	ADJ
ajst-19142	24	35	new	new	ADJ
ajst-19142	24	36	instances	instance	NOUN
ajst-19142	24	37	and	and	CCONJ
ajst-19142	24	38	when	when	SCONJ
ajst-19142	24	39	i	i	PRON
ajst-19142	24	40	discovered	discover	VERB
ajst-19142	24	41	this	this	DET
ajst-19142	24	42	insight	insight	NOUN
ajst-19142	24	43	,	,	PUNCT
ajst-19142	24	44	immediately	immediately	ADV
ajst-19142	24	45	that	that	SCONJ
ajst-19142	24	46	the	the	DET
ajst-19142	24	47	world	world	NOUN
ajst-19142	24	48	was	be	AUX
ajst-19142	24	49	about	about	ADJ
ajst-19142	24	50	to	to	PART
ajst-19142	24	51	change	change	VERB
ajst-19142	24	52	.	.	PUNCT
ajst-19142	25	1	in	in	ADP
ajst-19142	25	2	machine	machine	NOUN
ajst-19142	25	3	learning	learn	VERB
ajst-19142	25	4	terms	term	NOUN
ajst-19142	25	5	,	,	PUNCT
ajst-19142	25	6	problems	problem	NOUN
ajst-19142	25	7	such	such	ADJ
ajst-19142	25	8	as	as	ADP
ajst-19142	25	9	fraud	fraud	NOUN
ajst-19142	25	10	detection	detection	NOUN
ajst-19142	25	11	can	can	AUX
ajst-19142	25	12	be	be	AUX
ajst-19142	25	13	classified	classify	VERB
ajst-19142	25	14	as	as	ADP
ajst-19142	25	15	classification	classification	NOUN
ajst-19142	25	16	problems	problem	NOUN
ajst-19142	25	17	,	,	PUNCT
ajst-19142	25	18	where	where	SCONJ
ajst-19142	25	19	the	the	DET
ajst-19142	25	20	goal	goal	NOUN
ajst-19142	25	21	is	be	AUX
ajst-19142	25	22	to	to	PART
ajst-19142	25	23	predict	predict	VERB
ajst-19142	25	24	discrete	discrete	ADJ
ajst-19142	25	25	labels	label	NOUN
ajst-19142	25	26	0	0	NUM
ajst-19142	25	27	or	or	CCONJ
ajst-19142	25	28	1	1	NUM
ajst-19142	25	29	,	,	PUNCT
ajst-19142	25	30	where	where	SCONJ
ajst-19142	25	31	0	0	NUM
ajst-19142	25	32	usually	usually	ADV
ajst-19142	25	33	means	mean	VERB
ajst-19142	25	34	that	that	SCONJ
ajst-19142	25	35	the	the	DET
ajst-19142	25	36	transaction	transaction	NOUN
ajst-19142	25	37	is	be	AUX
ajst-19142	25	38	non	non	ADJ
ajst-19142	25	39	-	-	ADJ
ajst-19142	25	40	fraudulent	fraudulent	ADJ
ajst-19142	25	41	and	and	CCONJ
ajst-19142	25	42	1	1	NUM
ajst-19142	25	43	means	mean	VERB
ajst-19142	25	44	that	that	SCONJ
ajst-19142	25	45	the	the	DET
ajst-19142	25	46	transaction	transaction	NOUN
ajst-19142	25	47	appears	appear	VERB
ajst-19142	25	48	to	to	PART
ajst-19142	25	49	be	be	AUX
ajst-19142	25	50	fraudulent	fraudulent	ADJ
ajst-19142	25	51	.	.	PUNCT
ajst-19142	26	1	traditional	traditional	ADJ
ajst-19142	26	2	methods	method	NOUN
ajst-19142	26	3	for	for	ADP
ajst-19142	26	4	credit	credit	NOUN
ajst-19142	26	5	fraud	fraud	NOUN
ajst-19142	26	6	detection	detection	NOUN
ajst-19142	26	7	typically	typically	ADV
ajst-19142	26	8	rely	rely	VERB
ajst-19142	26	9	on	on	ADP
ajst-19142	26	10	rule	rule	NOUN
ajst-19142	26	11	-	-	PUNCT
ajst-19142	26	12	based	base	VERB
ajst-19142	26	13	systems	system	NOUN
ajst-19142	26	14	and	and	CCONJ
ajst-19142	26	15	anomaly	anomaly	NOUN
ajst-19142	26	16	detection	detection	NOUN
ajst-19142	26	17	techniques	technique	NOUN
ajst-19142	26	18	.	.	PUNCT
ajst-19142	27	1	rule	rule	NOUN
ajst-19142	27	2	-	-	PUNCT
ajst-19142	27	3	based	base	VERB
ajst-19142	27	4	systems	system	NOUN
ajst-19142	27	5	involve	involve	VERB
ajst-19142	27	6	setting	set	VERB
ajst-19142	27	7	predefined	predefine	VERB
ajst-19142	27	8	rules	rule	NOUN
ajst-19142	27	9	or	or	CCONJ
ajst-19142	27	10	thresholds	threshold	NOUN
ajst-19142	27	11	based	base	VERB
ajst-19142	27	12	on	on	ADP
ajst-19142	27	13	historical	historical	ADJ
ajst-19142	27	14	patterns	pattern	NOUN
ajst-19142	27	15	or	or	CCONJ
ajst-19142	27	16	expert	expert	ADJ
ajst-19142	27	17	knowledge	knowledge	NOUN
ajst-19142	27	18	to	to	PART
ajst-19142	27	19	flag	flag	VERB
ajst-19142	27	20	potentially	potentially	ADV
ajst-19142	27	21	fraudulent	fraudulent	ADJ
ajst-19142	27	22	transactions	transaction	NOUN
ajst-19142	27	23	.	.	PUNCT
ajst-19142	28	1	these	these	DET
ajst-19142	28	2	rules	rule	NOUN
ajst-19142	28	3	may	may	AUX
ajst-19142	28	4	include	include	VERB
ajst-19142	28	5	transaction	transaction	NOUN
ajst-19142	28	6	amount	amount	NOUN
ajst-19142	28	7	thresholds	threshold	NOUN
ajst-19142	28	8	,	,	PUNCT
ajst-19142	28	9	frequency	frequency	NOUN
ajst-19142	28	10	of	of	ADP
ajst-19142	28	11	transactions	transaction	NOUN
ajst-19142	28	12	,	,	PUNCT
ajst-19142	28	13	geographic	geographic	ADJ
ajst-19142	28	14	locations	location	NOUN
ajst-19142	28	15	,	,	PUNCT
ajst-19142	28	16	or	or	CCONJ
ajst-19142	28	17	unusual	unusual	ADJ
ajst-19142	28	18	transaction	transaction	NOUN
ajst-19142	28	19	patterns[3][4	patterns[3][4	PROPN
ajst-19142	28	20	]	]	PUNCT
ajst-19142	28	21	.	.	PUNCT
ajst-19142	29	1	anomaly	anomaly	PROPN
ajst-19142	29	2	detection	detection	NOUN
ajst-19142	29	3	techniques	technique	NOUN
ajst-19142	29	4	,	,	PUNCT
ajst-19142	29	5	on	on	ADP
ajst-19142	29	6	the	the	DET
ajst-19142	29	7	other	other	ADJ
ajst-19142	29	8	hand	hand	NOUN
ajst-19142	29	9	,	,	PUNCT
ajst-19142	29	10	aim	aim	VERB
ajst-19142	29	11	to	to	PART
ajst-19142	29	12	identify	identify	VERB
ajst-19142	29	13	outliers	outlier	NOUN
ajst-19142	29	14	or	or	CCONJ
ajst-19142	29	15	deviations	deviation	NOUN
ajst-19142	29	16	from	from	ADP
ajst-19142	29	17	normal	normal	ADJ
ajst-19142	29	18	behavior	behavior	NOUN
ajst-19142	29	19	by	by	ADP
ajst-19142	29	20	analyzing	analyze	VERB
ajst-19142	29	21	statistical	statistical	ADJ
ajst-19142	29	22	patterns	pattern	NOUN
ajst-19142	29	23	in	in	ADP
ajst-19142	29	24	transaction	transaction	NOUN
ajst-19142	29	25	data	datum	NOUN
ajst-19142	29	26	.	.	PUNCT
ajst-19142	30	1	these	these	DET
ajst-19142	30	2	methods	method	NOUN
ajst-19142	30	3	often	often	ADV
ajst-19142	30	4	involve	involve	VERB
ajst-19142	30	5	calculating	calculate	VERB
ajst-19142	30	6	metrics	metric	NOUN
ajst-19142	30	7	such	such	ADJ
ajst-19142	30	8	as	as	ADP
ajst-19142	30	9	mean	mean	ADJ
ajst-19142	30	10	,	,	PUNCT
ajst-19142	30	11	standard	standard	ADJ
ajst-19142	30	12	deviation	deviation	NOUN
ajst-19142	30	13	,	,	PUNCT
ajst-19142	30	14	or	or	CCONJ
ajst-19142	30	15	z	z	NOUN
ajst-19142	30	16	-	-	PUNCT
ajst-19142	30	17	scores	score	NOUN
ajst-19142	30	18	to	to	PART
ajst-19142	30	19	identify	identify	VERB
ajst-19142	30	20	transactions	transaction	NOUN
ajst-19142	30	21	that	that	PRON
ajst-19142	30	22	significantly	significantly	ADV
ajst-19142	30	23	differ	differ	VERB
ajst-19142	30	24	from	from	ADP
ajst-19142	30	25	the	the	DET
ajst-19142	30	26	norm	norm	NOUN
ajst-19142	30	27	.	.	PUNCT
ajst-19142	31	1	in	in	ADP
ajst-19142	31	2	contrast	contrast	NOUN
ajst-19142	31	3	,	,	PUNCT
ajst-19142	31	4	machine	machine	NOUN
ajst-19142	31	5	learning	learning	NOUN
ajst-19142	31	6	approaches	approach	NOUN
ajst-19142	31	7	have	have	AUX
ajst-19142	31	8	gained	gain	VERB
ajst-19142	31	9	popularity	popularity	NOUN
ajst-19142	31	10	in	in	ADP
ajst-19142	31	11	credit	credit	NOUN
ajst-19142	31	12	fraud	fraud	NOUN
ajst-19142	31	13	detection	detection	NOUN
ajst-19142	31	14	due	due	ADP
ajst-19142	31	15	to	to	ADP
ajst-19142	31	16	their	their	PRON
ajst-19142	31	17	ability	ability	NOUN
ajst-19142	31	18	to	to	PART
ajst-19142	31	19	learn	learn	VERB
ajst-19142	31	20	from	from	ADP
ajst-19142	31	21	data	datum	NOUN
ajst-19142	31	22	and	and	CCONJ
ajst-19142	31	23	adapt	adapt	VERB
ajst-19142	31	24	to	to	ADP
ajst-19142	31	25	evolving	evolve	VERB
ajst-19142	31	26	fraud	fraud	NOUN
ajst-19142	31	27	patterns	pattern	NOUN
ajst-19142	31	28	.	.	PUNCT
ajst-19142	32	1	various	various	ADJ
ajst-19142	32	2	machine	machine	NOUN
ajst-19142	32	3	learning	learn	VERB
ajst-19142	32	4	algorithms	algorithm	NOUN
ajst-19142	32	5	,	,	PUNCT
ajst-19142	32	6	including	include	VERB
ajst-19142	32	7	decision	decision	NOUN
ajst-19142	32	8	trees	tree	NOUN
ajst-19142	32	9	,	,	PUNCT
ajst-19142	32	10	logistic	logistic	ADJ
ajst-19142	32	11	regression	regression	NOUN
ajst-19142	32	12	,	,	PUNCT
ajst-19142	32	13	support	support	VERB
ajst-19142	32	14	vector	vector	NOUN
ajst-19142	32	15	machines	machine	NOUN
ajst-19142	32	16	,	,	PUNCT
ajst-19142	32	17	and	and	CCONJ
ajst-19142	32	18	neural	neural	ADJ
ajst-19142	32	19	networks	network	NOUN
ajst-19142	32	20	,	,	PUNCT
ajst-19142	32	21	have	have	AUX
ajst-19142	32	22	been	be	AUX
ajst-19142	32	23	applied	apply	VERB
ajst-19142	32	24	to	to	ADP
ajst-19142	32	25	this	this	DET
ajst-19142	32	26	task	task	NOUN
ajst-19142	32	27	.	.	PUNCT
ajst-19142	33	1	decision	decision	NOUN
ajst-19142	33	2	trees	tree	NOUN
ajst-19142	33	3	can	can	AUX
ajst-19142	33	4	effectively	effectively	ADV
ajst-19142	33	5	capture	capture	VERB
ajst-19142	33	6	complex	complex	ADJ
ajst-19142	33	7	decision	decision	NOUN
ajst-19142	33	8	boundaries	boundary	NOUN
ajst-19142	33	9	and	and	CCONJ
ajst-19142	33	10	identify	identify	VERB
ajst-19142	33	11	important	important	ADJ
ajst-19142	33	12	features	feature	NOUN
ajst-19142	33	13	for	for	ADP
ajst-19142	33	14	classification	classification	NOUN
ajst-19142	33	15	.	.	PUNCT
ajst-19142	34	1	[	[	X
ajst-19142	34	2	5]logistic	5]logistic	ADJ
ajst-19142	34	3	regression	regression	NOUN
ajst-19142	34	4	models	model	NOUN
ajst-19142	34	5	provide	provide	VERB
ajst-19142	34	6	probabilistic	probabilistic	ADJ
ajst-19142	34	7	outputs	output	NOUN
ajst-19142	34	8	and	and	CCONJ
ajst-19142	34	9	are	be	AUX
ajst-19142	34	10	well	well	ADV
ajst-19142	34	11	-	-	PUNCT
ajst-19142	34	12	suited	suit	VERB
ajst-19142	34	13	for	for	ADP
ajst-19142	34	14	binary	binary	ADJ
ajst-19142	34	15	classification	classification	NOUN
ajst-19142	34	16	tasks	task	NOUN
ajst-19142	34	17	.	.	PUNCT
ajst-19142	35	1	support	support	NOUN
ajst-19142	35	2	vector	vector	NOUN
ajst-19142	35	3	machines	machine	NOUN
ajst-19142	35	4	aim	aim	VERB
ajst-19142	35	5	to	to	PART
ajst-19142	35	6	find	find	VERB
ajst-19142	35	7	the	the	DET
ajst-19142	35	8	optimal	optimal	ADJ
ajst-19142	35	9	hyperplane	hyperplane	NOUN
ajst-19142	35	10	that	that	PRON
ajst-19142	35	11	separates	separate	VERB
ajst-19142	35	12	different	different	ADJ
ajst-19142	35	13	classes	class	NOUN
ajst-19142	35	14	in	in	ADP
ajst-19142	35	15	high	high	ADJ
ajst-19142	35	16	-	-	PUNCT
ajst-19142	35	17	dimensional	dimensional	ADJ
ajst-19142	35	18	space	space	NOUN
ajst-19142	35	19	.	.	PUNCT
ajst-19142	36	1	neural	neural	ADJ
ajst-19142	36	2	networks	network	NOUN
ajst-19142	36	3	,	,	PUNCT
ajst-19142	36	4	particularly	particularly	ADV
ajst-19142	36	5	deep	deep	ADJ
ajst-19142	36	6	learning	learning	NOUN
ajst-19142	36	7	models	model	NOUN
ajst-19142	36	8	,	,	PUNCT
ajst-19142	36	9	have	have	AUX
ajst-19142	36	10	shown	show	VERB
ajst-19142	36	11	promise	promise	NOUN
ajst-19142	36	12	in	in	ADP
ajst-19142	36	13	capturing	capture	VERB
ajst-19142	36	14	intricate	intricate	ADJ
ajst-19142	36	15	patterns	pattern	NOUN
ajst-19142	36	16	in	in	ADP
ajst-19142	36	17	large	large	ADJ
ajst-19142	36	18	-	-	PUNCT
ajst-19142	36	19	scale	scale	NOUN
ajst-19142	36	20	datasets	dataset	NOUN
ajst-19142	36	21	and	and	CCONJ
ajst-19142	36	22	detecting	detect	VERB
ajst-19142	36	23	subtle	subtle	ADJ
ajst-19142	36	24	fraud	fraud	NOUN
ajst-19142	36	25	signals	signal	NOUN
ajst-19142	36	26	.	.	PUNCT
ajst-19142	37	1	these	these	DET
ajst-19142	37	2	machine	machine	NOUN
ajst-19142	37	3	learning	learn	VERB
ajst-19142	37	4	algorithms	algorithm	NOUN
ajst-19142	37	5	offer	offer	VERB
ajst-19142	37	6	enhanced	enhance	VERB
ajst-19142	37	7	flexibility	flexibility	NOUN
ajst-19142	37	8	,	,	PUNCT
ajst-19142	37	9	scalability	scalability	NOUN
ajst-19142	37	10	,	,	PUNCT
ajst-19142	37	11	and	and	CCONJ
ajst-19142	37	12	performance	performance	NOUN
ajst-19142	37	13	compared	compare	VERB
ajst-19142	37	14	to	to	ADP
ajst-19142	37	15	traditional	traditional	ADJ
ajst-19142	37	16	rule	rule	NOUN
ajst-19142	37	17	-	-	PUNCT
ajst-19142	37	18	based	base	VERB
ajst-19142	37	19	systems	system	NOUN
ajst-19142	37	20	,	,	PUNCT
ajst-19142	37	21	making	make	VERB
ajst-19142	37	22	them	they	PRON
ajst-19142	37	23	valuable	valuable	ADJ
ajst-19142	37	24	tools	tool	NOUN
ajst-19142	37	25	in	in	ADP
ajst-19142	37	26	the	the	DET
ajst-19142	37	27	fight	fight	NOUN
ajst-19142	37	28	against	against	ADP
ajst-19142	37	29	credit	credit	NOUN
ajst-19142	37	30	fraud	fraud	NOUN
ajst-19142	37	31	.	.	PUNCT
ajst-19142	38	1	2.2	2.2	NUM
ajst-19142	38	2	.	.	PUNCT
ajst-19142	39	1	k	k	X
ajst-19142	39	2	-	-	PUNCT
ajst-19142	39	3	means	mean	VERB
ajst-19142	39	4	clustering	cluster	VERB
ajst-19142	39	5	in	in	ADP
ajst-19142	39	6	financial	financial	ADJ
ajst-19142	39	7	fraud	fraud	NOUN
ajst-19142	39	8	detection	detection	NOUN
ajst-19142	39	9	means	mean	VERB
ajst-19142	39	10	clustering	cluster	VERB
ajst-19142	39	11	algorithm	algorithm	NOUN
ajst-19142	39	12	has	have	AUX
ajst-19142	39	13	been	be	AUX
ajst-19142	39	14	widely	widely	ADV
ajst-19142	39	15	studied	study	VERB
ajst-19142	39	16	and	and	CCONJ
ajst-19142	39	17	applied	apply	VERB
ajst-19142	39	18	in	in	ADP
ajst-19142	39	19	various	various	ADJ
ajst-19142	39	20	fields	field	NOUN
ajst-19142	39	21	,	,	PUNCT
ajst-19142	39	22	including	include	VERB
ajst-19142	39	23	but	but	CCONJ
ajst-19142	39	24	not	not	PART
ajst-19142	39	25	limited	limit	VERB
ajst-19142	39	26	to	to	ADP
ajst-19142	39	27	data	data	NOUN
ajst-19142	39	28	mining	mining	NOUN
ajst-19142	39	29	,	,	PUNCT
ajst-19142	39	30	image	image	NOUN
ajst-19142	39	31	processing	processing	NOUN
ajst-19142	39	32	,	,	PUNCT
ajst-19142	39	33	and	and	CCONJ
ajst-19142	39	34	pattern	pattern	NOUN
ajst-19142	39	35	recognition	recognition	NOUN
ajst-19142	39	36	.	.	PUNCT
ajst-19142	40	1	in	in	ADP
ajst-19142	40	2	the	the	DET
ajst-19142	40	3	context	context	NOUN
ajst-19142	40	4	of	of	ADP
ajst-19142	40	5	fraud	fraud	NOUN
ajst-19142	40	6	detection	detection	NOUN
ajst-19142	40	7	,	,	PUNCT
ajst-19142	40	8	previous	previous	ADJ
ajst-19142	40	9	literature	literature	NOUN
ajst-19142	40	10	has	have	AUX
ajst-19142	40	11	explored	explore	VERB
ajst-19142	40	12	the	the	DET
ajst-19142	40	13	efficacy	efficacy	NOUN
ajst-19142	40	14	of	of	ADP
ajst-19142	40	15	k	k	PROPN
ajst-19142	40	16	-	-	PUNCT
ajst-19142	40	17	means	means	NOUN
ajst-19142	40	18	clustering	cluster	VERB
ajst-19142	40	19	in	in	ADP
ajst-19142	40	20	identifying	identify	VERB
ajst-19142	40	21	anomalous	anomalous	ADJ
ajst-19142	40	22	patterns	pattern	NOUN
ajst-19142	40	23	or	or	CCONJ
ajst-19142	40	24	clusters	cluster	NOUN
ajst-19142	40	25	within	within	ADP
ajst-19142	40	26	financial	financial	ADJ
ajst-19142	40	27	transaction	transaction	NOUN
ajst-19142	40	28	data	datum	NOUN
ajst-19142	40	29	.	.	PUNCT
ajst-19142	41	1	[	[	X
ajst-19142	41	2	6][7][8]these	6][7][8]these	NUM
ajst-19142	41	3	studies	study	NOUN
ajst-19142	41	4	often	often	ADV
ajst-19142	41	5	highlight	highlight	VERB
ajst-19142	41	6	the	the	DET
ajst-19142	41	7	algorithm	algorithm	NOUN
ajst-19142	41	8	's	's	PART
ajst-19142	41	9	ability	ability	NOUN
ajst-19142	41	10	to	to	PART
ajst-19142	41	11	partition	partition	VERB
ajst-19142	41	12	data	datum	NOUN
ajst-19142	41	13	into	into	ADP
ajst-19142	41	14	distinct	distinct	ADJ
ajst-19142	41	15	groups	group	NOUN
ajst-19142	41	16	based	base	VERB
ajst-19142	41	17	on	on	ADP
ajst-19142	41	18	similarities	similarity	NOUN
ajst-19142	41	19	in	in	ADP
ajst-19142	41	20	features	feature	NOUN
ajst-19142	41	21	such	such	ADJ
ajst-19142	41	22	as	as	ADP
ajst-19142	41	23	transaction	transaction	NOUN
ajst-19142	41	24	amount	amount	NOUN
ajst-19142	41	25	,	,	PUNCT
ajst-19142	41	26	frequency	frequency	NOUN
ajst-19142	41	27	,	,	PUNCT
ajst-19142	41	28	and	and	CCONJ
ajst-19142	41	29	location	location	NOUN
ajst-19142	41	30	,	,	PUNCT
ajst-19142	41	31	thus	thus	ADV
ajst-19142	41	32	facilitating	facilitate	VERB
ajst-19142	41	33	the	the	DET
ajst-19142	41	34	detection	detection	NOUN
ajst-19142	41	35	of	of	ADP
ajst-19142	41	36	potentially	potentially	ADV
ajst-19142	41	37	fraudulent	fraudulent	ADJ
ajst-19142	41	38	activities	activity	NOUN
ajst-19142	41	39	.	.	PUNCT
ajst-19142	42	1	additionally	additionally	ADV
ajst-19142	42	2	,	,	PUNCT
ajst-19142	42	3	researchers	researcher	NOUN
ajst-19142	42	4	have	have	AUX
ajst-19142	42	5	investigated	investigate	VERB
ajst-19142	42	6	different	different	ADJ
ajst-19142	42	7	variations	variation	NOUN
ajst-19142	42	8	of	of	ADP
ajst-19142	42	9	k	k	NOUN
ajst-19142	42	10	-	-	PUNCT
ajst-19142	42	11	means	mean	NOUN
ajst-19142	42	12	,	,	PUNCT
ajst-19142	42	13	such	such	ADJ
ajst-19142	42	14	as	as	ADP
ajst-19142	42	15	weighted	weight	VERB
ajst-19142	42	16	k	k	PROPN
ajst-19142	42	17	-	-	PUNCT
ajst-19142	42	18	means	mean	NOUN
ajst-19142	42	19	or	or	CCONJ
ajst-19142	42	20	fuzzy	fuzzy	ADJ
ajst-19142	42	21	k	k	NOUN
ajst-19142	42	22	-	-	PUNCT
ajst-19142	42	23	means	mean	NOUN
ajst-19142	42	24	,	,	PUNCT
ajst-19142	42	25	to	to	PART
ajst-19142	42	26	improve	improve	VERB
ajst-19142	42	27	its	its	PRON
ajst-19142	42	28	performance	performance	NOUN
ajst-19142	42	29	in	in	ADP
ajst-19142	42	30	handling	handle	VERB
ajst-19142	42	31	imbalanced	imbalanced	ADJ
ajst-19142	42	32	datasets	dataset	NOUN
ajst-19142	42	33	or	or	CCONJ
ajst-19142	42	34	capturing	capture	VERB
ajst-19142	42	35	complex	complex	ADJ
ajst-19142	42	36	fraud	fraud	NOUN
ajst-19142	42	37	patterns	pattern	NOUN
ajst-19142	42	38	.	.	PUNCT
ajst-19142	43	1	despite	despite	SCONJ
ajst-19142	43	2	its	its	PRON
ajst-19142	43	3	popularity	popularity	NOUN
ajst-19142	43	4	,	,	PUNCT
ajst-19142	43	5	challenges	challenge	NOUN
ajst-19142	43	6	such	such	ADJ
ajst-19142	43	7	as	as	ADP
ajst-19142	43	8	the	the	DET
ajst-19142	43	9	need	need	NOUN
ajst-19142	43	10	for	for	ADP
ajst-19142	43	11	careful	careful	ADJ
ajst-19142	43	12	initialization	initialization	NOUN
ajst-19142	43	13	of	of	ADP
ajst-19142	43	14	centroids	centroid	NOUN
ajst-19142	43	15	and	and	CCONJ
ajst-19142	43	16	the	the	DET
ajst-19142	43	17	determination	determination	NOUN
ajst-19142	43	18	of	of	ADP
ajst-19142	43	19	the	the	DET
ajst-19142	43	20	optimal	optimal	ADJ
ajst-19142	43	21	number	number	NOUN
ajst-19142	43	22	of	of	ADP
ajst-19142	43	23	clusters	cluster	NOUN
ajst-19142	43	24	remain	remain	VERB
ajst-19142	43	25	areas	area	NOUN
ajst-19142	43	26	of	of	ADP
ajst-19142	43	27	active	active	ADJ
ajst-19142	43	28	research	research	NOUN
ajst-19142	43	29	.	.	PUNCT
ajst-19142	44	1	overall	overall	ADV
ajst-19142	44	2	,	,	PUNCT
ajst-19142	44	3	the	the	DET
ajst-19142	44	4	existing	exist	VERB
ajst-19142	44	5	literature	literature	NOUN
ajst-19142	44	6	underscores	underscore	VERB
ajst-19142	44	7	the	the	DET
ajst-19142	44	8	importance	importance	NOUN
ajst-19142	44	9	of	of	ADP
ajst-19142	44	10	k	k	NOUN
ajst-19142	44	11	-	-	PUNCT
ajst-19142	44	12	means	means	NOUN
ajst-19142	44	13	clustering	cluster	VERB
ajst-19142	44	14	as	as	ADP
ajst-19142	44	15	a	a	DET
ajst-19142	44	16	valuable	valuable	ADJ
ajst-19142	44	17	tool	tool	NOUN
ajst-19142	44	18	in	in	ADP
ajst-19142	44	19	the	the	DET
ajst-19142	44	20	arsenal	arsenal	NOUN
ajst-19142	44	21	of	of	ADP
ajst-19142	44	22	fraud	fraud	NOUN
ajst-19142	44	23	detection	detection	NOUN
ajst-19142	44	24	techniques	technique	NOUN
ajst-19142	44	25	,	,	PUNCT
ajst-19142	44	26	offering	offer	VERB
ajst-19142	44	27	insights	insight	NOUN
ajst-19142	44	28	into	into	ADP
ajst-19142	44	29	its	its	PRON
ajst-19142	44	30	strengths	strength	NOUN
ajst-19142	44	31	,	,	PUNCT
ajst-19142	44	32	limitations	limitation	NOUN
ajst-19142	44	33	,	,	PUNCT
ajst-19142	44	34	and	and	CCONJ
ajst-19142	44	35	potential	potential	ADJ
ajst-19142	44	36	areas	area	NOUN
ajst-19142	44	37	for	for	ADP
ajst-19142	44	38	further	further	ADJ
ajst-19142	44	39	refinement	refinement	NOUN
ajst-19142	44	40	and	and	CCONJ
ajst-19142	44	41	improvement	improvement	NOUN
ajst-19142	44	42	.	.	PUNCT
ajst-19142	45	1	clustering	cluster	VERB
ajst-19142	45	2	algorithms	algorithm	NOUN
ajst-19142	45	3	,	,	PUNCT
ajst-19142	45	4	including	include	VERB
ajst-19142	45	5	k	k	NOUN
ajst-19142	45	6	-	-	PUNCT
ajst-19142	45	7	means	means	ADJ
ajst-19142	45	8	,	,	PUNCT
ajst-19142	45	9	dbscan	dbscan	NOUN
ajst-19142	45	10	,	,	PUNCT
ajst-19142	45	11	and	and	CCONJ
ajst-19142	45	12	hierarchical	hierarchical	ADJ
ajst-19142	45	13	clustering	clustering	NOUN
ajst-19142	45	14	,	,	PUNCT
ajst-19142	45	15	have	have	AUX
ajst-19142	45	16	been	be	AUX
ajst-19142	45	17	utilized	utilize	VERB
ajst-19142	45	18	in	in	ADP
ajst-19142	45	19	fraud	fraud	NOUN
ajst-19142	45	20	detection	detection	NOUN
ajst-19142	45	21	to	to	PART
ajst-19142	45	22	group	group	VERB
ajst-19142	45	23	similar	similar	ADJ
ajst-19142	45	24	transactions	transaction	NOUN
ajst-19142	45	25	or	or	CCONJ
ajst-19142	45	26	entities	entity	NOUN
ajst-19142	45	27	together	together	ADV
ajst-19142	45	28	based	base	VERB
ajst-19142	45	29	on	on	ADP
ajst-19142	45	30	their	their	PRON
ajst-19142	45	31	characteristics	characteristic	NOUN
ajst-19142	45	32	.	.	PUNCT
ajst-19142	46	1	previous	previous	ADJ
ajst-19142	46	2	studies	study	NOUN
ajst-19142	46	3	have	have	AUX
ajst-19142	46	4	demonstrated	demonstrate	VERB
ajst-19142	46	5	the	the	DET
ajst-19142	46	6	effectiveness	effectiveness	NOUN
ajst-19142	46	7	of	of	ADP
ajst-19142	46	8	these	these	DET
ajst-19142	46	9	techniques	technique	NOUN
ajst-19142	46	10	in	in	ADP
ajst-19142	46	11	identifying	identify	VERB
ajst-19142	46	12	anomalous	anomalous	ADJ
ajst-19142	46	13	patterns	pattern	NOUN
ajst-19142	46	14	or	or	CCONJ
ajst-19142	46	15	clusters	cluster	NOUN
ajst-19142	46	16	that	that	PRON
ajst-19142	46	17	may	may	AUX
ajst-19142	46	18	indicate	indicate	VERB
ajst-19142	46	19	fraudulent	fraudulent	ADJ
ajst-19142	46	20	behavior	behavior	NOUN
ajst-19142	46	21	.	.	PUNCT
ajst-19142	47	1	kmeans	kmean	NOUN
ajst-19142	47	2	clustering	cluster	VERB
ajst-19142	47	3	,	,	PUNCT
ajst-19142	47	4	in	in	ADP
ajst-19142	47	5	particular	particular	ADJ
ajst-19142	47	6	,	,	PUNCT
ajst-19142	47	7	is	be	AUX
ajst-19142	47	8	widely	widely	ADV
ajst-19142	47	9	used	use	VERB
ajst-19142	47	10	due	due	ADP
ajst-19142	47	11	to	to	ADP
ajst-19142	47	12	its	its	PRON
ajst-19142	47	13	simplicity	simplicity	NOUN
ajst-19142	47	14	,	,	PUNCT
ajst-19142	47	15	scalability	scalability	NOUN
ajst-19142	47	16	,	,	PUNCT
ajst-19142	47	17	and	and	CCONJ
ajst-19142	47	18	efficiency	efficiency	NOUN
ajst-19142	47	19	in	in	ADP
ajst-19142	47	20	partitioning	partition	VERB
ajst-19142	47	21	data	datum	NOUN
ajst-19142	47	22	into	into	ADP
ajst-19142	47	23	distinct	distinct	ADJ
ajst-19142	47	24	clusters	cluster	NOUN
ajst-19142	47	25	.	.	PUNCT
ajst-19142	48	1	it	it	PRON
ajst-19142	48	2	iteratively	iteratively	ADV
ajst-19142	48	3	assigns	assign	VERB
ajst-19142	48	4	data	datum	NOUN
ajst-19142	48	5	points	point	NOUN
ajst-19142	48	6	to	to	ADP
ajst-19142	48	7	the	the	DET
ajst-19142	48	8	nearest	near	ADJ
ajst-19142	48	9	cluster	cluster	NOUN
ajst-19142	48	10	centroid	centroid	NOUN
ajst-19142	48	11	based	base	VERB
ajst-19142	48	12	on	on	ADP
ajst-19142	48	13	a	a	DET
ajst-19142	48	14	specified	specified	ADJ
ajst-19142	48	15	number	number	NOUN
ajst-19142	48	16	of	of	ADP
ajst-19142	48	17	clusters	cluster	NOUN
ajst-19142	48	18	,	,	PUNCT
ajst-19142	48	19	making	make	VERB
ajst-19142	48	20	it	it	PRON
ajst-19142	48	21	suitable	suitable	ADJ
ajst-19142	48	22	for	for	ADP
ajst-19142	48	23	detecting	detect	VERB
ajst-19142	48	24	clusters	cluster	NOUN
ajst-19142	48	25	of	of	ADP
ajst-19142	48	26	potentially	potentially	ADV
ajst-19142	48	27	fraudulent	fraudulent	ADJ
ajst-19142	48	28	transactions	transaction	NOUN
ajst-19142	48	29	.	.	PUNCT
ajst-19142	49	1	additionally	additionally	ADV
ajst-19142	49	2	,	,	PUNCT
ajst-19142	49	3	k	k	X
ajst-19142	49	4	-	-	PUNCT
ajst-19142	49	5	means	means	NOUN
ajst-19142	49	6	is	be	AUX
ajst-19142	49	7	computationally	computationally	ADV
ajst-19142	49	8	efficient	efficient	ADJ
ajst-19142	49	9	and	and	CCONJ
ajst-19142	49	10	can	can	AUX
ajst-19142	49	11	handle	handle	VERB
ajst-19142	49	12	large	large	ADJ
ajst-19142	49	13	datasets	dataset	NOUN
ajst-19142	49	14	,	,	PUNCT
ajst-19142	49	15	which	which	PRON
ajst-19142	49	16	is	be	AUX
ajst-19142	49	17	crucial	crucial	ADJ
ajst-19142	49	18	for	for	ADP
ajst-19142	49	19	real	real	ADJ
ajst-19142	49	20	-	-	PUNCT
ajst-19142	49	21	time	time	NOUN
ajst-19142	49	22	fraud	fraud	NOUN
ajst-19142	49	23	detection	detection	NOUN
ajst-19142	49	24	applications	application	NOUN
ajst-19142	49	25	.	.	PUNCT
ajst-19142	50	1	while	while	SCONJ
ajst-19142	50	2	other	other	ADJ
ajst-19142	50	3	clustering	clustering	ADJ
ajst-19142	50	4	methods	method	NOUN
ajst-19142	50	5	like	like	ADP
ajst-19142	50	6	dbscan	dbscan	NOUN
ajst-19142	50	7	and	and	CCONJ
ajst-19142	50	8	hierarchical	hierarchical	ADJ
ajst-19142	50	9	clustering	clustering	NOUN
ajst-19142	50	10	offer	offer	VERB
ajst-19142	50	11	different	different	ADJ
ajst-19142	50	12	advantages	advantage	NOUN
ajst-19142	50	13	,	,	PUNCT
ajst-19142	50	14	such	such	ADJ
ajst-19142	50	15	as	as	ADP
ajst-19142	50	16	the	the	DET
ajst-19142	50	17	ability	ability	NOUN
ajst-19142	50	18	to	to	PART
ajst-19142	50	19	detect	detect	VERB
ajst-19142	50	20	irregularly	irregularly	ADV
ajst-19142	50	21	shaped	shape	VERB
ajst-19142	50	22	clusters	cluster	NOUN
ajst-19142	50	23	or	or	CCONJ
ajst-19142	50	24	hierarchical	hierarchical	ADJ
ajst-19142	50	25	structures	structure	NOUN
ajst-19142	50	26	,	,	PUNCT
ajst-19142	50	27	k	k	NOUN
ajst-19142	50	28	-	-	PUNCT
ajst-19142	50	29	means	means	NOUN
ajst-19142	50	30	is	be	AUX
ajst-19142	50	31	often	often	ADV
ajst-19142	50	32	preferred	prefer	VERB
ajst-19142	50	33	in	in	ADP
ajst-19142	50	34	fraud	fraud	NOUN
ajst-19142	50	35	detection	detection	NOUN
ajst-19142	50	36	scenarios	scenario	NOUN
ajst-19142	50	37	for	for	ADP
ajst-19142	50	38	its	its	PRON
ajst-19142	50	39	simplicity	simplicity	NOUN
ajst-19142	50	40	and	and	CCONJ
ajst-19142	50	41	computational	computational	ADJ
ajst-19142	50	42	efficiency	efficiency	NOUN
ajst-19142	50	43	,	,	PUNCT
ajst-19142	50	44	making	make	VERB
ajst-19142	50	45	it	it	PRON
ajst-19142	50	46	a	a	DET
ajst-19142	50	47	pragmatic	pragmatic	ADJ
ajst-19142	50	48	choice	choice	NOUN
ajst-19142	50	49	for	for	ADP
ajst-19142	50	50	practitioners	practitioner	NOUN
ajst-19142	50	51	in	in	ADP
ajst-19142	50	52	the	the	DET
ajst-19142	50	53	field	field	NOUN
ajst-19142	50	54	.	.	PUNCT
ajst-19142	51	1	3	3	X
ajst-19142	51	2	.	.	X
ajst-19142	51	3	methodology	methodology	NOUN
ajst-19142	51	4	and	and	CCONJ
ajst-19142	51	5	experiment	experiment	NOUN
ajst-19142	51	6	3.1	3.1	NUM
ajst-19142	51	7	.	.	PUNCT
ajst-19142	52	1	k	k	X
ajst-19142	52	2	-	-	PUNCT
ajst-19142	52	3	means	mean	VERB
ajst-19142	52	4	clustering	cluster	VERB
ajst-19142	52	5	algorithm	algorithm	NOUN
ajst-19142	52	6	k	k	NOUN
ajst-19142	52	7	-	-	PUNCT
ajst-19142	52	8	means	mean	VERB
ajst-19142	52	9	clustering	clustering	ADJ
ajst-19142	52	10	algorithm	algorithm	NOUN
ajst-19142	52	11	is	be	AUX
ajst-19142	52	12	an	an	DET
ajst-19142	52	13	iteratively	iteratively	ADV
ajst-19142	52	14	solved	solve	VERB
ajst-19142	52	15	clustering	clustering	ADJ
ajst-19142	52	16	analysis	analysis	NOUN
ajst-19142	52	17	algorithm	algorithm	NOUN
ajst-19142	52	18	.	.	PUNCT
ajst-19142	53	1	its	its	PRON
ajst-19142	53	2	step	step	NOUN
ajst-19142	53	3	is	be	AUX
ajst-19142	53	4	to	to	PART
ajst-19142	53	5	randomly	randomly	VERB
ajst-19142	53	6	select	select	VERB
ajst-19142	53	7	k	k	PROPN
ajst-19142	53	8	objects	object	NOUN
ajst-19142	53	9	as	as	ADP
ajst-19142	53	10	the	the	DET
ajst-19142	53	11	initial	initial	ADJ
ajst-19142	53	12	cluster	cluster	NOUN
ajst-19142	53	13	center	center	NOUN
ajst-19142	53	14	,	,	PUNCT
ajst-19142	53	15	then	then	ADV
ajst-19142	53	16	calculate	calculate	VERB
ajst-19142	53	17	the	the	DET
ajst-19142	53	18	distance	distance	NOUN
ajst-19142	53	19	between	between	ADP
ajst-19142	53	20	each	each	DET
ajst-19142	53	21	object	object	NOUN
ajst-19142	53	22	and	and	CCONJ
ajst-19142	53	23	each	each	DET
ajst-19142	53	24	seed	seed	NOUN
ajst-19142	53	25	cluster	cluster	NOUN
ajst-19142	53	26	center	center	NOUN
ajst-19142	53	27	,	,	PUNCT
ajst-19142	53	28	and	and	CCONJ
ajst-19142	53	29	assign	assign	VERB
ajst-19142	53	30	each	each	DET
ajst-19142	53	31	object	object	NOUN
ajst-19142	53	32	to	to	ADP
ajst-19142	53	33	the	the	DET
ajst-19142	53	34	nearest	near	ADJ
ajst-19142	53	35	cluster	cluster	NOUN
ajst-19142	53	36	center	center	NOUN
ajst-19142	53	37	.	.	PUNCT
ajst-19142	54	1	[	[	X
ajst-19142	54	2	9]cluster	9]cluster	NUM
ajst-19142	54	3	centers	center	NOUN
ajst-19142	54	4	and	and	CCONJ
ajst-19142	54	5	the	the	DET
ajst-19142	54	6	objects	object	NOUN
ajst-19142	54	7	assigned	assign	VERB
ajst-19142	54	8	to	to	ADP
ajst-19142	54	9	them	they	PRON
ajst-19142	54	10	represent	represent	VERB
ajst-19142	54	11	a	a	DET
ajst-19142	54	12	cluster	cluster	NOUN
ajst-19142	54	13	.	.	PUNCT
ajst-19142	55	1	for	for	SCONJ
ajst-19142	55	2	each	each	DET
ajst-19142	55	3	sample	sample	NOUN
ajst-19142	55	4	assigned	assign	VERB
ajst-19142	55	5	,	,	PUNCT
ajst-19142	55	6	the	the	DET
ajst-19142	55	7	cluster	cluster	NOUN
ajst-19142	55	8	center	center	NOUN
ajst-19142	55	9	of	of	ADP
ajst-19142	55	10	the	the	DET
ajst-19142	55	11	cluster	cluster	NOUN
ajst-19142	55	12	is	be	AUX
ajst-19142	55	13	recalculated	recalculate	VERB
ajst-19142	55	14	based	base	VERB
ajst-19142	55	15	on	on	ADP
ajst-19142	55	16	the	the	DET
ajst-19142	55	17	existing	exist	VERB
ajst-19142	55	18	objects	object	NOUN
ajst-19142	55	19	in	in	ADP
ajst-19142	55	20	the	the	DET
ajst-19142	55	21	cluster	cluster	NOUN
ajst-19142	55	22	.	.	PUNCT
ajst-19142	56	1	this	this	DET
ajst-19142	56	2	process	process	NOUN
ajst-19142	56	3	is	be	AUX
ajst-19142	56	4	repeated	repeat	VERB
ajst-19142	56	5	until	until	SCONJ
ajst-19142	56	6	a	a	DET
ajst-19142	56	7	certain	certain	ADJ
ajst-19142	56	8	termination	termination	NOUN
ajst-19142	56	9	condition	condition	NOUN
ajst-19142	56	10	is	be	AUX
ajst-19142	56	11	met	meet	VERB
ajst-19142	56	12	.	.	PUNCT
ajst-19142	57	1	the	the	DET
ajst-19142	57	2	termination	termination	NOUN
ajst-19142	57	3	condition	condition	NOUN
ajst-19142	57	4	can	can	AUX
ajst-19142	57	5	be	be	AUX
ajst-19142	57	6	that	that	SCONJ
ajst-19142	57	7	no	no	DET
ajst-19142	57	8	number	number	NOUN
ajst-19142	57	9	of	of	ADP
ajst-19142	57	10	objects	object	NOUN
ajst-19142	57	11	are	be	AUX
ajst-19142	57	12	reassigned	reassign	VERB
ajst-19142	57	13	to	to	ADP
ajst-19142	57	14	different	different	ADJ
ajst-19142	57	15	clusters	cluster	NOUN
ajst-19142	57	16	,	,	PUNCT
ajst-19142	57	17	nonumber	nonumber	NOUN
ajst-19142	57	18	of	of	ADP
ajst-19142	57	19	cluster	cluster	NOUN
ajst-19142	57	20	centers	center	NOUN
ajst-19142	57	21	change	change	VERB
ajst-19142	57	22	again	again	ADV
ajst-19142	57	23	,	,	PUNCT
ajst-19142	57	24	and	and	CCONJ
ajst-19142	57	25	the	the	DET
ajst-19142	57	26	sum	sum	NOUN
ajst-19142	57	27	of	of	ADP
ajst-19142	57	28	squares	square	NOUN
ajst-19142	57	29	of	of	ADP
ajst-19142	57	30	error	error	NOUN
ajst-19142	57	31	is	be	AUX
ajst-19142	57	32	locally	locally	ADV
ajst-19142	57	33	minimum	minimum	ADJ
ajst-19142	57	34	.	.	PUNCT
ajst-19142	58	1	k	k	ADJ
ajst-19142	58	2	-	-	PUNCT
ajst-19142	58	3	means	mean	VERB
ajst-19142	58	4	algorithm	algorithm	NOUN
ajst-19142	58	5	implementation	implementation	NOUN
ajst-19142	58	6	steps	step	NOUN
ajst-19142	58	7	:	:	PUNCT
ajst-19142	58	8	1.first	1.first	NUM
ajst-19142	58	9	determine	determine	VERB
ajst-19142	58	10	a	a	DET
ajst-19142	58	11	k	k	PROPN
ajst-19142	58	12	value	value	NOUN
ajst-19142	58	13	,	,	PUNCT
ajst-19142	58	14	that	that	ADV
ajst-19142	58	15	is	is	ADV
ajst-19142	58	16	,	,	PUNCT
ajst-19142	58	17	we	we	PRON
ajst-19142	58	18	want	want	VERB
ajst-19142	58	19	to	to	PART
ajst-19142	58	20	cluster	cluster	VERB
ajst-19142	58	21	the	the	DET
ajst-19142	58	22	data	datum	NOUN
ajst-19142	58	23	set	set	VERB
ajst-19142	58	24	to	to	PART
ajst-19142	58	25	get	get	VERB
ajst-19142	58	26	k	k	PROPN
ajst-19142	58	27	sets	set	NOUN
ajst-19142	58	28	.	.	PUNCT
ajst-19142	59	1	2	2	X
ajst-19142	59	2	.	.	NUM
ajst-19142	59	3	randomly	randomly	ADV
ajst-19142	59	4	select	select	PROPN
ajst-19142	59	5	k	k	PROPN
ajst-19142	59	6	data	datum	NOUN
ajst-19142	59	7	points	point	NOUN
ajst-19142	59	8	from	from	ADP
ajst-19142	59	9	the	the	DET
ajst-19142	59	10	data	datum	NOUN
ajst-19142	59	11	set	set	VERB
ajst-19142	59	12	as	as	ADP
ajst-19142	59	13	the	the	DET
ajst-19142	59	14	center	center	NOUN
ajst-19142	59	15	of	of	ADP
ajst-19142	59	16	mass	mass	PROPN
ajst-19142	59	17	.	.	PUNCT
ajst-19142	60	1	3.for	3.for	ADP
ajst-19142	60	2	each	each	DET
ajst-19142	60	3	point	point	NOUN
ajst-19142	60	4	in	in	ADP
ajst-19142	60	5	the	the	DET
ajst-19142	60	6	data	datum	NOUN
ajst-19142	60	7	set	set	VERB
ajst-19142	60	8	,	,	PUNCT
ajst-19142	60	9	calculate	calculate	VERB
ajst-19142	60	10	its	its	PRON
ajst-19142	60	11	distance	distance	NOUN
ajst-19142	60	12	from	from	ADP
ajst-19142	60	13	each	each	DET
ajst-19142	60	14	centroid	centroid	NOUN
ajst-19142	60	15	(	(	PUNCT
ajst-19142	60	16	such	such	ADJ
ajst-19142	60	17	as	as	ADP
ajst-19142	60	18	euclidean	euclidean	ADJ
ajst-19142	60	19	distance	distance	NOUN
ajst-19142	60	20	)	)	PUNCT
ajst-19142	60	21	,	,	PUNCT
ajst-19142	60	22	which	which	DET
ajst-19142	60	23	centroid	centroid	NOUN
ajst-19142	60	24	is	be	AUX
ajst-19142	60	25	close	close	ADJ
ajst-19142	60	26	to	to	PART
ajst-19142	60	27	,	,	PUNCT
ajst-19142	60	28	it	it	PRON
ajst-19142	60	29	is	be	AUX
ajst-19142	60	30	divided	divide	VERB
ajst-19142	60	31	into	into	ADP
ajst-19142	60	32	the	the	DET
ajst-19142	60	33	set	set	NOUN
ajst-19142	60	34	that	that	SCONJ
ajst-19142	60	35	centroid	centroid	NOUN
ajst-19142	60	36	belongs	belong	VERB
ajst-19142	60	37	to	to	ADP
ajst-19142	60	38	.	.	PROPN
ajst-19142	61	1	4	4	X
ajst-19142	61	2	.	.	X
ajst-19142	61	3	after	after	ADP
ajst-19142	61	4	putting	put	VERB
ajst-19142	61	5	all	all	DET
ajst-19142	61	6	the	the	DET
ajst-19142	61	7	data	datum	NOUN
ajst-19142	61	8	together	together	ADV
ajst-19142	61	9	,	,	PUNCT
ajst-19142	61	10	there	there	PRON
ajst-19142	61	11	are	be	VERB
ajst-19142	61	12	a	a	DET
ajst-19142	61	13	total	total	NOUN
ajst-19142	61	14	of	of	ADP
ajst-19142	61	15	k	k	PROPN
ajst-19142	61	16	sets	set	NOUN
ajst-19142	61	17	.	.	PUNCT
ajst-19142	62	1	then	then	ADV
ajst-19142	62	2	recalculate	recalculate	VERB
ajst-19142	62	3	the	the	DET
ajst-19142	62	4	center	center	NOUN
ajst-19142	62	5	of	of	ADP
ajst-19142	62	6	mass	mass	NOUN
ajst-19142	62	7	of	of	ADP
ajst-19142	62	8	each	each	DET
ajst-19142	62	9	set	set	NOUN
ajst-19142	62	10	.	.	PUNCT
ajst-19142	63	1	5	5	X
ajst-19142	63	2	.	.	X
ajst-19142	64	1	if	if	SCONJ
ajst-19142	64	2	the	the	DET
ajst-19142	64	3	distance	distance	NOUN
ajst-19142	64	4	between	between	ADP
ajst-19142	64	5	the	the	DET
ajst-19142	64	6	newly	newly	ADV
ajst-19142	64	7	calculated	calculate	VERB
ajst-19142	64	8	center	center	NOUN
ajst-19142	64	9	of	of	ADP
ajst-19142	64	10	mass	mass	NOUN
ajst-19142	64	11	and	and	CCONJ
ajst-19142	64	12	the	the	DET
ajst-19142	64	13	original	original	ADJ
ajst-19142	64	14	center	center	NOUN
ajst-19142	64	15	of	of	ADP
ajst-19142	64	16	mass	mass	NOUN
ajst-19142	64	17	is	be	AUX
ajst-19142	64	18	less	less	ADJ
ajst-19142	64	19	than	than	ADP
ajst-19142	64	20	a	a	DET
ajst-19142	64	21	certain	certain	ADJ
ajst-19142	64	22	set	set	NOUN
ajst-19142	64	23	threshold	threshold	NOUN
ajst-19142	64	24	(	(	PUNCT
ajst-19142	64	25	indicating	indicate	VERB
ajst-19142	64	26	that	that	SCONJ
ajst-19142	64	27	the	the	DET
ajst-19142	64	28	position	position	NOUN
ajst-19142	64	29	of	of	ADP
ajst-19142	64	30	the	the	DET
ajst-19142	64	31	recalculated	recalculated	ADJ
ajst-19142	64	32	center	center	NOUN
ajst-19142	64	33	of	of	ADP
ajst-19142	64	34	mass	mass	NOUN
ajst-19142	64	35	does	do	AUX
ajst-19142	64	36	not	not	PART
ajst-19142	64	37	change	change	VERB
ajst-19142	64	38	much	much	ADJ
ajst-19142	64	39	,	,	PUNCT
ajst-19142	64	40	tends	tend	VERB
ajst-19142	64	41	to	to	PART
ajst-19142	64	42	be	be	AUX
ajst-19142	64	43	stable	stable	ADJ
ajst-19142	64	44	,	,	PUNCT
ajst-19142	64	45	or	or	CCONJ
ajst-19142	64	46	converges	converge	NOUN
ajst-19142	64	47	)	)	PUNCT
ajst-19142	64	48	,	,	PUNCT
ajst-19142	64	49	we	we	PRON
ajst-19142	64	50	can	can	AUX
ajst-19142	64	51	consider	consider	VERB
ajst-19142	64	52	that	that	SCONJ
ajst-19142	64	53	the	the	DET
ajst-19142	64	54	clustering	clustering	NOUN
ajst-19142	64	55	has	have	AUX
ajst-19142	64	56	reached	reach	VERB
ajst-19142	64	57	the	the	DET
ajst-19142	64	58	expected	expect	VERB
ajst-19142	64	59	result	result	NOUN
ajst-19142	64	60	and	and	CCONJ
ajst-19142	64	61	the	the	DET
ajst-19142	64	62	algorithm	algorithm	NOUN
ajst-19142	64	63	terminates	terminate	VERB
ajst-19142	64	64	.	.	PUNCT
ajst-19142	65	1	6	6	X
ajst-19142	65	2	.	.	X
ajst-19142	66	1	if	if	SCONJ
ajst-19142	66	2	the	the	DET
ajst-19142	66	3	distance	distance	NOUN
ajst-19142	66	4	between	between	ADP
ajst-19142	66	5	the	the	DET
ajst-19142	66	6	new	new	ADJ
ajst-19142	66	7	center	center	NOUN
ajst-19142	66	8	of	of	ADP
ajst-19142	66	9	mass	mass	NOUN
ajst-19142	66	10	and	and	CCONJ
ajst-19142	66	11	the	the	DET
ajst-19142	66	12	original	original	ADJ
ajst-19142	66	13	center	center	NOUN
ajst-19142	66	14	of	of	ADP
ajst-19142	66	15	mass	mass	ADJ
ajst-19142	66	16	changes	change	NOUN
ajst-19142	66	17	greatly	greatly	ADV
ajst-19142	66	18	,	,	PUNCT
ajst-19142	66	19	it	it	PRON
ajst-19142	66	20	is	be	AUX
ajst-19142	66	21	necessary	necessary	ADJ
ajst-19142	66	22	to	to	PART
ajst-19142	66	23	iterate	iterate	VERB
ajst-19142	66	24	3	3	NUM
ajst-19142	66	25	to	to	PART
ajst-19142	66	26	5	5	NUM
ajst-19142	66	27	steps	step	NOUN
ajst-19142	66	28	.	.	PUNCT
ajst-19142	67	1	35	35	NUM
ajst-19142	67	2	figure	figure	NOUN
ajst-19142	67	3	1	1	NUM
ajst-19142	67	4	.	.	PUNCT
ajst-19142	68	1	k	k	X
ajst-19142	68	2	-	-	PUNCT
ajst-19142	68	3	means	mean	VERB
ajst-19142	68	4	clustering	clustering	ADJ
ajst-19142	68	5	iteration	iteration	NOUN
ajst-19142	68	6	process	process	NOUN
ajst-19142	68	7	certainly	certainly	ADV
ajst-19142	68	8	,	,	PUNCT
ajst-19142	68	9	here	here	ADV
ajst-19142	68	10	's	be	AUX
ajst-19142	68	11	a	a	DET
ajst-19142	68	12	revised	revised	ADJ
ajst-19142	68	13	version	version	NOUN
ajst-19142	68	14	with	with	ADP
ajst-19142	68	15	improved	improved	ADJ
ajst-19142	68	16	logic	logic	NOUN
ajst-19142	68	17	and	and	CCONJ
ajst-19142	68	18	organization	organization	NOUN
ajst-19142	68	19	:	:	PUNCT
ajst-19142	68	20	figure	figure	VERB
ajst-19142	68	21	a	a	PRON
ajst-19142	68	22	represents	represent	VERB
ajst-19142	68	23	the	the	DET
ajst-19142	68	24	initial	initial	ADJ
ajst-19142	68	25	dataset	dataset	NOUN
ajst-19142	68	26	with	with	ADP
ajst-19142	68	27	k=2	k=2	PROPN
ajst-19142	68	28	classes	class	NOUN
ajst-19142	68	29	.	.	PUNCT
ajst-19142	69	1	in	in	ADP
ajst-19142	69	2	figure	figure	NOUN
ajst-19142	69	3	b	b	NOUN
ajst-19142	69	4	,	,	PUNCT
ajst-19142	69	5	we	we	PRON
ajst-19142	69	6	randomly	randomly	ADV
ajst-19142	69	7	select	select	VERB
ajst-19142	69	8	two	two	NUM
ajst-19142	69	9	centroids	centroid	NOUN
ajst-19142	69	10	corresponding	correspond	VERB
ajst-19142	69	11	to	to	ADP
ajst-19142	69	12	the	the	DET
ajst-19142	69	13	classes	class	NOUN
ajst-19142	69	14	,	,	PUNCT
ajst-19142	69	15	represented	represent	VERB
ajst-19142	69	16	by	by	ADP
ajst-19142	69	17	the	the	DET
ajst-19142	69	18	red	red	ADJ
ajst-19142	69	19	and	and	CCONJ
ajst-19142	69	20	blue	blue	ADJ
ajst-19142	69	21	centroids	centroid	NOUN
ajst-19142	69	22	.	.	PUNCT
ajst-19142	70	1	then	then	ADV
ajst-19142	70	2	,	,	PUNCT
ajst-19142	70	3	we	we	PRON
ajst-19142	70	4	calculate	calculate	VERB
ajst-19142	70	5	the	the	DET
ajst-19142	70	6	distance	distance	NOUN
ajst-19142	70	7	between	between	ADP
ajst-19142	70	8	each	each	DET
ajst-19142	70	9	point	point	NOUN
ajst-19142	70	10	in	in	ADP
ajst-19142	70	11	the	the	DET
ajst-19142	70	12	dataset	dataset	NOUN
ajst-19142	70	13	and	and	CCONJ
ajst-19142	70	14	these	these	DET
ajst-19142	70	15	centroids	centroid	NOUN
ajst-19142	70	16	,	,	PUNCT
ajst-19142	70	17	assigning	assign	VERB
ajst-19142	70	18	each	each	DET
ajst-19142	70	19	point	point	NOUN
ajst-19142	70	20	to	to	ADP
ajst-19142	70	21	the	the	DET
ajst-19142	70	22	class	class	NOUN
ajst-19142	70	23	of	of	ADP
ajst-19142	70	24	the	the	DET
ajst-19142	70	25	nearest	near	ADJ
ajst-19142	70	26	centroid	centroid	NOUN
ajst-19142	70	27	.	.	PUNCT
ajst-19142	71	1	moving	move	VERB
ajst-19142	71	2	to	to	PART
ajst-19142	71	3	figure	figure	VERB
ajst-19142	71	4	c	c	NOUN
ajst-19142	71	5	,	,	PUNCT
ajst-19142	71	6	after	after	ADP
ajst-19142	71	7	the	the	DET
ajst-19142	71	8	first	first	ADJ
ajst-19142	71	9	iteration	iteration	NOUN
ajst-19142	71	10	,	,	PUNCT
ajst-19142	71	11	we	we	PRON
ajst-19142	71	12	have	have	AUX
ajst-19142	71	13	assigned	assign	VERB
ajst-19142	71	14	each	each	DET
ajst-19142	71	15	point	point	NOUN
ajst-19142	71	16	to	to	ADP
ajst-19142	71	17	either	either	CCONJ
ajst-19142	71	18	the	the	DET
ajst-19142	71	19	red	red	ADJ
ajst-19142	71	20	or	or	CCONJ
ajst-19142	71	21	blue	blue	ADJ
ajst-19142	71	22	class	class	NOUN
ajst-19142	71	23	based	base	VERB
ajst-19142	71	24	on	on	ADP
ajst-19142	71	25	proximity	proximity	NOUN
ajst-19142	71	26	to	to	ADP
ajst-19142	71	27	the	the	DET
ajst-19142	71	28	centroids	centroid	NOUN
ajst-19142	71	29	.	.	PUNCT
ajst-19142	72	1	now	now	ADV
ajst-19142	72	2	,	,	PUNCT
ajst-19142	72	3	we	we	PRON
ajst-19142	72	4	calculate	calculate	VERB
ajst-19142	72	5	the	the	DET
ajst-19142	72	6	new	new	ADJ
ajst-19142	72	7	centroids	centroid	NOUN
ajst-19142	72	8	for	for	ADP
ajst-19142	72	9	both	both	DET
ajst-19142	72	10	classes	class	NOUN
ajst-19142	72	11	.	.	PUNCT
ajst-19142	73	1	as	as	SCONJ
ajst-19142	73	2	depicted	depict	VERB
ajst-19142	73	3	in	in	ADP
ajst-19142	73	4	figure	figure	NOUN
ajst-19142	73	5	d	d	NOUN
ajst-19142	73	6	,	,	PUNCT
ajst-19142	73	7	the	the	DET
ajst-19142	73	8	positions	position	NOUN
ajst-19142	73	9	of	of	ADP
ajst-19142	73	10	the	the	DET
ajst-19142	73	11	new	new	ADJ
ajst-19142	73	12	centroids	centroid	NOUN
ajst-19142	73	13	for	for	ADP
ajst-19142	73	14	both	both	DET
ajst-19142	73	15	classes	class	NOUN
ajst-19142	73	16	have	have	AUX
ajst-19142	73	17	changed	change	VERB
ajst-19142	73	18	compared	compare	VERB
ajst-19142	73	19	to	to	ADP
ajst-19142	73	20	the	the	DET
ajst-19142	73	21	initial	initial	ADJ
ajst-19142	73	22	centroids	centroid	NOUN
ajst-19142	73	23	.	.	PUNCT
ajst-19142	74	1	figures	figure	NOUN
ajst-19142	74	2	e	e	PROPN
ajst-19142	74	3	and	and	CCONJ
ajst-19142	74	4	f	f	PROPN
ajst-19142	74	5	illustrate	illustrate	VERB
ajst-19142	74	6	the	the	DET
ajst-19142	74	7	iterative	iterative	NOUN
ajst-19142	74	8	process	process	NOUN
ajst-19142	74	9	,	,	PUNCT
ajst-19142	74	10	repeating	repeat	VERB
ajst-19142	74	11	the	the	DET
ajst-19142	74	12	steps	step	NOUN
ajst-19142	74	13	of	of	ADP
ajst-19142	74	14	assigning	assign	VERB
ajst-19142	74	15	points	point	NOUN
ajst-19142	74	16	to	to	ADP
ajst-19142	74	17	the	the	DET
ajst-19142	74	18	nearest	near	ADJ
ajst-19142	74	19	centroid	centroid	NOUN
ajst-19142	74	20	and	and	CCONJ
ajst-19142	74	21	updating	update	VERB
ajst-19142	74	22	the	the	DET
ajst-19142	74	23	centroids	centroid	NOUN
ajst-19142	74	24	until	until	ADP
ajst-19142	74	25	convergence	convergence	NOUN
ajst-19142	74	26	.	.	PUNCT
ajst-19142	75	1	ultimately	ultimately	ADV
ajst-19142	75	2	,	,	PUNCT
ajst-19142	75	3	in	in	ADP
ajst-19142	75	4	figure	figure	NOUN
ajst-19142	75	5	f	f	X
ajst-19142	75	6	,	,	PUNCT
ajst-19142	75	7	we	we	PRON
ajst-19142	75	8	arrive	arrive	VERB
ajst-19142	75	9	at	at	ADP
ajst-19142	75	10	the	the	DET
ajst-19142	75	11	final	final	ADJ
ajst-19142	75	12	clustering	clustering	NOUN
ajst-19142	75	13	result	result	NOUN
ajst-19142	75	14	,	,	PUNCT
ajst-19142	75	15	where	where	SCONJ
ajst-19142	75	16	each	each	DET
ajst-19142	75	17	point	point	NOUN
ajst-19142	75	18	is	be	AUX
ajst-19142	75	19	assigned	assign	VERB
ajst-19142	75	20	to	to	ADP
ajst-19142	75	21	either	either	CCONJ
ajst-19142	75	22	the	the	DET
ajst-19142	75	23	red	red	ADJ
ajst-19142	75	24	or	or	CCONJ
ajst-19142	75	25	blue	blue	ADJ
ajst-19142	75	26	class	class	NOUN
ajst-19142	75	27	based	base	VERB
ajst-19142	75	28	on	on	ADP
ajst-19142	75	29	proximity	proximity	NOUN
ajst-19142	75	30	to	to	ADP
ajst-19142	75	31	the	the	DET
ajst-19142	75	32	centroids	centroid	NOUN
ajst-19142	75	33	.	.	PUNCT
ajst-19142	76	1	this	this	DET
ajst-19142	76	2	iterative	iterative	NOUN
ajst-19142	76	3	process	process	NOUN
ajst-19142	76	4	of	of	ADP
ajst-19142	76	5	updating	update	VERB
ajst-19142	76	6	centroids	centroid	NOUN
ajst-19142	76	7	and	and	CCONJ
ajst-19142	76	8	reassigning	reassigning	NOUN
ajst-19142	76	9	points	point	NOUN
ajst-19142	76	10	continues	continue	VERB
ajst-19142	76	11	until	until	SCONJ
ajst-19142	76	12	the	the	DET
ajst-19142	76	13	centroids	centroid	NOUN
ajst-19142	76	14	stabilize	stabilize	VERB
ajst-19142	76	15	and	and	CCONJ
ajst-19142	76	16	the	the	DET
ajst-19142	76	17	classes	class	NOUN
ajst-19142	76	18	converge	converge	VERB
ajst-19142	76	19	.	.	PUNCT
ajst-19142	77	1	k	k	ADJ
ajst-19142	77	2	-	-	PUNCT
ajst-19142	77	3	value	value	NOUN
ajst-19142	77	4	selection	selection	NOUN
ajst-19142	77	5	the	the	DET
ajst-19142	77	6	selection	selection	NOUN
ajst-19142	77	7	of	of	ADP
ajst-19142	77	8	k	k	PROPN
ajst-19142	77	9	value	value	NOUN
ajst-19142	77	10	has	have	VERB
ajst-19142	77	11	a	a	DET
ajst-19142	77	12	great	great	ADJ
ajst-19142	77	13	influence	influence	NOUN
ajst-19142	77	14	on	on	ADP
ajst-19142	77	15	k	k	NOUN
ajst-19142	77	16	-	-	PUNCT
ajst-19142	77	17	means	mean	NOUN
ajst-19142	77	18	,	,	PUNCT
ajst-19142	77	19	which	which	PRON
ajst-19142	77	20	is	be	AUX
ajst-19142	77	21	also	also	ADV
ajst-19142	77	22	the	the	DET
ajst-19142	77	23	biggest	big	ADJ
ajst-19142	77	24	disadvantage	disadvantage	NOUN
ajst-19142	77	25	of	of	ADP
ajst-19142	77	26	k	k	NOUN
ajst-19142	77	27	-	-	PUNCT
ajst-19142	77	28	means	mean	NOUN
ajst-19142	77	29	.	.	PUNCT
ajst-19142	78	1	common	common	ADJ
ajst-19142	78	2	methods	method	NOUN
ajst-19142	78	3	for	for	ADP
ajst-19142	78	4	selecting	select	VERB
ajst-19142	78	5	k	k	PROPN
ajst-19142	78	6	value	value	NOUN
ajst-19142	78	7	include	include	VERB
ajst-19142	78	8	elbow	elbow	NOUN
ajst-19142	78	9	method	method	NOUN
ajst-19142	78	10	and	and	CCONJ
ajst-19142	78	11	gap	gap	NOUN
ajst-19142	78	12	statistic	statistic	NOUN
ajst-19142	78	13	method	method	NOUN
ajst-19142	78	14	.	.	PUNCT
ajst-19142	79	1	if	if	SCONJ
ajst-19142	79	2	we	we	PRON
ajst-19142	79	3	get	get	VERB
ajst-19142	79	4	a	a	DET
ajst-19142	79	5	sample	sample	NOUN
ajst-19142	79	6	,	,	PUNCT
ajst-19142	79	7	there	there	PRON
ajst-19142	79	8	are	be	VERB
ajst-19142	79	9	objectively	objectively	ADV
ajst-19142	79	10	j	j	NOUN
ajst-19142	79	11	"	"	PUNCT
ajst-19142	79	12	natural	natural	ADJ
ajst-19142	79	13	subclasses	subclass	NOUN
ajst-19142	79	14	"	"	PUNCT
ajst-19142	79	15	,	,	PUNCT
ajst-19142	79	16	these	these	DET
ajst-19142	79	17	real	real	ADJ
ajst-19142	79	18	subclasses	subclass	NOUN
ajst-19142	79	19	are	be	AUX
ajst-19142	79	20	hidden	hide	VERB
ajst-19142	79	21	in	in	ADP
ajst-19142	79	22	the	the	DET
ajst-19142	79	23	data	datum	NOUN
ajst-19142	79	24	.	.	PUNCT
ajst-19142	80	1	below	below	ADP
ajst-19142	80	2	3d	3d	PROPN
ajst-19142	80	3	data	datum	NOUN
ajst-19142	80	4	we	we	PRON
ajst-19142	80	5	can	can	AUX
ajst-19142	80	6	also	also	ADV
ajst-19142	80	7	draw	draw	VERB
ajst-19142	80	8	a	a	DET
ajst-19142	80	9	picture	picture	NOUN
ajst-19142	80	10	to	to	PART
ajst-19142	80	11	distinguish	distinguish	VERB
ajst-19142	80	12	the	the	DET
ajst-19142	80	13	approximate	approximate	ADJ
ajst-19142	80	14	number	number	NOUN
ajst-19142	80	15	of	of	ADP
ajst-19142	80	16	j	j	PROPN
ajst-19142	80	17	with	with	ADP
ajst-19142	80	18	the	the	DET
ajst-19142	80	19	naked	naked	ADJ
ajst-19142	80	20	eye	eye	NOUN
ajst-19142	80	21	,	,	PUNCT
ajst-19142	80	22	higher	high	ADJ
ajst-19142	80	23	dimensions	dimension	NOUN
ajst-19142	80	24	can	can	AUX
ajst-19142	80	25	not	not	PART
ajst-19142	80	26	be	be	AUX
ajst-19142	80	27	intuitively	intuitively	ADV
ajst-19142	80	28	seen	see	VERB
ajst-19142	80	29	,	,	PUNCT
ajst-19142	80	30	we	we	PRON
ajst-19142	80	31	can	can	AUX
ajst-19142	80	32	only	only	ADV
ajst-19142	80	33	start	start	VERB
ajst-19142	80	34	from	from	ADP
ajst-19142	80	35	a	a	DET
ajst-19142	80	36	relatively	relatively	ADV
ajst-19142	80	37	small	small	ADJ
ajst-19142	80	38	k	k	NOUN
ajst-19142	80	39	,	,	PUNCT
ajst-19142	80	40	such	such	ADJ
ajst-19142	80	41	as	as	ADP
ajst-19142	80	42	k=2	k=2	PROPN
ajst-19142	80	43	,	,	PUNCT
ajst-19142	80	44	to	to	PART
ajst-19142	80	45	try	try	VERB
ajst-19142	80	46	to	to	PART
ajst-19142	80	47	approximate	approximate	VERB
ajst-19142	80	48	the	the	DET
ajst-19142	80	49	true	true	ADJ
ajst-19142	80	50	value	value	NOUN
ajst-19142	80	51	of	of	ADP
ajst-19142	80	52	j.	j.	PROPN
ajst-19142	80	53	1	1	NUM
ajst-19142	80	54	)	)	PUNCT
ajst-19142	80	55	when	when	SCONJ
ajst-19142	80	56	k	k	PROPN
ajst-19142	80	57	is	be	AUX
ajst-19142	80	58	smaller	small	ADJ
ajst-19142	80	59	than	than	ADP
ajst-19142	80	60	the	the	DET
ajst-19142	80	61	real	real	ADJ
ajst-19142	80	62	cluster	cluster	NOUN
ajst-19142	80	63	number	number	NOUN
ajst-19142	80	64	j	j	PROPN
ajst-19142	80	65	of	of	ADP
ajst-19142	80	66	the	the	DET
ajst-19142	80	67	sample	sample	NOUN
ajst-19142	80	68	,	,	PUNCT
ajst-19142	80	69	the	the	DET
ajst-19142	80	70	degree	degree	NOUN
ajst-19142	80	71	of	of	ADP
ajst-19142	80	72	aggregation	aggregation	NOUN
ajst-19142	80	73	of	of	ADP
ajst-19142	80	74	each	each	DET
ajst-19142	80	75	cluster	cluster	NOUN
ajst-19142	80	76	will	will	AUX
ajst-19142	80	77	be	be	AUX
ajst-19142	80	78	greatly	greatly	ADV
ajst-19142	80	79	increased	increase	VERB
ajst-19142	80	80	with	with	ADP
ajst-19142	80	81	each	each	DET
ajst-19142	80	82	increase	increase	NOUN
ajst-19142	80	83	of	of	ADP
ajst-19142	80	84	one	one	NUM
ajst-19142	80	85	unit	unit	NOUN
ajst-19142	80	86	of	of	ADP
ajst-19142	80	87	k	k	PROPN
ajst-19142	80	88	,	,	PUNCT
ajst-19142	80	89	and	and	CCONJ
ajst-19142	80	90	the	the	DET
ajst-19142	80	91	distance	distance	NOUN
ajst-19142	80	92	sum	sum	NOUN
ajst-19142	80	93	will	will	AUX
ajst-19142	80	94	decrease	decrease	VERB
ajst-19142	80	95	greatly	greatly	ADV
ajst-19142	80	96	;	;	PUNCT
ajst-19142	81	1	2	2	X
ajst-19142	81	2	)	)	PUNCT
ajst-19142	81	3	when	when	SCONJ
ajst-19142	81	4	k	k	PROPN
ajst-19142	81	5	approaches	approach	VERB
ajst-19142	81	6	j	j	PROPN
ajst-19142	81	7	,	,	PUNCT
ajst-19142	81	8	the	the	DET
ajst-19142	81	9	return	return	NOUN
ajst-19142	81	10	of	of	ADP
ajst-19142	81	11	polymerization	polymerization	NOUN
ajst-19142	81	12	degree	degree	NOUN
ajst-19142	81	13	obtained	obtain	VERB
ajst-19142	81	14	by	by	ADP
ajst-19142	81	15	increasing	increase	VERB
ajst-19142	81	16	k	k	PROPN
ajst-19142	81	17	will	will	AUX
ajst-19142	81	18	rapidly	rapidly	ADV
ajst-19142	81	19	decrease	decrease	VERB
ajst-19142	81	20	,	,	PUNCT
ajst-19142	81	21	and	and	CCONJ
ajst-19142	81	22	the	the	DET
ajst-19142	81	23	decline	decline	NOUN
ajst-19142	81	24	of	of	ADP
ajst-19142	81	25	distance	distance	NOUN
ajst-19142	81	26	sum	sum	NOUN
ajst-19142	81	27	will	will	AUX
ajst-19142	81	28	also	also	ADV
ajst-19142	81	29	decrease	decrease	VERB
ajst-19142	81	30	;	;	PUNCT
ajst-19142	81	31	3	3	X
ajst-19142	81	32	)	)	PUNCT
ajst-19142	81	33	as	as	SCONJ
ajst-19142	81	34	k	k	PROPN
ajst-19142	81	35	continues	continue	VERB
ajst-19142	81	36	to	to	PART
ajst-19142	81	37	increase	increase	VERB
ajst-19142	81	38	,	,	PUNCT
ajst-19142	81	39	the	the	DET
ajst-19142	81	40	change	change	NOUN
ajst-19142	81	41	of	of	ADP
ajst-19142	81	42	distance	distance	NOUN
ajst-19142	81	43	sum	sum	NOUN
ajst-19142	81	44	will	will	AUX
ajst-19142	81	45	be	be	AUX
ajst-19142	81	46	gradual	gradual	ADJ
ajst-19142	81	47	.	.	PUNCT
ajst-19142	82	1	3.2	3.2	NUM
ajst-19142	82	2	.	.	PUNCT
ajst-19142	82	3	experimental	experimental	ADJ
ajst-19142	82	4	setup	setup	NOUN
ajst-19142	82	5	in	in	ADP
ajst-19142	82	6	the	the	DET
ajst-19142	82	7	previous	previous	ADJ
ajst-19142	82	8	notebook	notebook	NOUN
ajst-19142	82	9	,	,	PUNCT
ajst-19142	82	10	an	an	DET
ajst-19142	82	11	exploratory	exploratory	ADJ
ajst-19142	82	12	data	data	NOUN
ajst-19142	82	13	analysis	analysis	NOUN
ajst-19142	82	14	(	(	PUNCT
ajst-19142	82	15	eda	eda	X
ajst-19142	82	16	)	)	PUNCT
ajst-19142	82	17	was	be	AUX
ajst-19142	82	18	conducted	conduct	VERB
ajst-19142	82	19	.	.	PUNCT
ajst-19142	83	1	now	now	ADV
ajst-19142	83	2	,	,	PUNCT
ajst-19142	83	3	we	we	PRON
ajst-19142	83	4	aim	aim	VERB
ajst-19142	83	5	to	to	PART
ajst-19142	83	6	build	build	VERB
ajst-19142	83	7	a	a	DET
ajst-19142	83	8	classifier	classifier	NOUN
ajst-19142	83	9	for	for	ADP
ajst-19142	83	10	fraud	fraud	NOUN
ajst-19142	83	11	detection	detection	NOUN
ajst-19142	83	12	using	use	VERB
ajst-19142	83	13	supervised	supervised	ADJ
ajst-19142	83	14	learning	learning	NOUN
ajst-19142	83	15	techniques	technique	NOUN
ajst-19142	83	16	,	,	PUNCT
ajst-19142	83	17	considering	consider	VERB
ajst-19142	83	18	class	class	NOUN
ajst-19142	83	19	imbalance	imbalance	NOUN
ajst-19142	83	20	and	and	CCONJ
ajst-19142	83	21	the	the	DET
ajst-19142	83	22	size	size	NOUN
ajst-19142	83	23	of	of	ADP
ajst-19142	83	24	the	the	DET
ajst-19142	83	25	data	datum	NOUN
ajst-19142	83	26	.	.	PUNCT
ajst-19142	84	1	for	for	ADP
ajst-19142	84	2	this	this	DET
ajst-19142	84	3	purpose	purpose	NOUN
ajst-19142	84	4	,	,	PUNCT
ajst-19142	84	5	the	the	DET
ajst-19142	84	6	following	follow	VERB
ajst-19142	84	7	packages	package	NOUN
ajst-19142	84	8	are	be	AUX
ajst-19142	84	9	utilized	utilize	VERB
ajst-19142	84	10	:	:	PUNCT
ajst-19142	84	11	`	`	PUNCT
ajst-19142	84	12	caret	caret	PROPN
ajst-19142	84	13	`	`	PUNCT
ajst-19142	84	14	,	,	PUNCT
ajst-19142	84	15	`	`	PUNCT
ajst-19142	84	16	caretensemble	caretensemble	ADJ
ajst-19142	84	17	`	`	PUNCT
ajst-19142	84	18	,	,	PUNCT
ajst-19142	84	19	`	`	PUNCT
ajst-19142	84	20	smotefamily	smotefamily	ADV
ajst-19142	84	21	`	`	PUNCT
ajst-19142	84	22	,	,	PUNCT
ajst-19142	84	23	`	`	PUNCT
ajst-19142	84	24	rose	rose	VERB
ajst-19142	84	25	`	`	PUNCT
ajst-19142	84	26	,	,	PUNCT
ajst-19142	84	27	and	and	CCONJ
ajst-19142	84	28	`	`	PUNCT
ajst-19142	84	29	imbalance	imbalance	NOUN
ajst-19142	84	30	`	`	PUNCT
ajst-19142	84	31	.	.	PUNCT
ajst-19142	85	1	additionally	additionally	ADV
ajst-19142	85	2	,	,	PUNCT
ajst-19142	85	3	we	we	PRON
ajst-19142	85	4	seek	seek	VERB
ajst-19142	85	5	to	to	PART
ajst-19142	85	6	identify	identify	VERB
ajst-19142	85	7	the	the	DET
ajst-19142	85	8	factors	factor	NOUN
ajst-19142	85	9	that	that	PRON
ajst-19142	85	10	contribute	contribute	VERB
ajst-19142	85	11	to	to	ADP
ajst-19142	85	12	a	a	DET
ajst-19142	85	13	transaction	transaction	NOUN
ajst-19142	85	14	being	be	AUX
ajst-19142	85	15	likely	likely	ADJ
ajst-19142	85	16	to	to	PART
ajst-19142	85	17	be	be	AUX
ajst-19142	85	18	fraudulent	fraudulent	ADJ
ajst-19142	85	19	through	through	ADP
ajst-19142	85	20	unsupervised	unsupervised	ADJ
ajst-19142	85	21	learning	learning	NOUN
ajst-19142	85	22	methods	method	NOUN
ajst-19142	85	23	.	.	PUNCT
ajst-19142	86	1	these	these	DET
ajst-19142	86	2	factors	factor	NOUN
ajst-19142	86	3	may	may	AUX
ajst-19142	86	4	include	include	VERB
ajst-19142	86	5	location	location	NOUN
ajst-19142	86	6	,	,	PUNCT
ajst-19142	86	7	time	time	NOUN
ajst-19142	86	8	,	,	PUNCT
ajst-19142	86	9	or	or	CCONJ
ajst-19142	86	10	a	a	DET
ajst-19142	86	11	combination	combination	NOUN
ajst-19142	86	12	of	of	ADP
ajst-19142	86	13	both	both	PRON
ajst-19142	86	14	.	.	PUNCT
ajst-19142	87	1	to	to	PART
ajst-19142	87	2	achieve	achieve	VERB
ajst-19142	87	3	this	this	PRON
ajst-19142	87	4	,	,	PUNCT
ajst-19142	87	5	we	we	PRON
ajst-19142	87	6	employ	employ	VERB
ajst-19142	87	7	clustering	clustering	ADJ
ajst-19142	87	8	methods	method	NOUN
ajst-19142	87	9	such	such	ADJ
ajst-19142	87	10	as	as	ADP
ajst-19142	87	11	k	k	NOUN
ajst-19142	87	12	-	-	PUNCT
ajst-19142	87	13	means	means	NOUN
ajst-19142	87	14	and	and	CCONJ
ajst-19142	87	15	dbscan	dbscan	NOUN
ajst-19142	87	16	(	(	PUNCT
ajst-19142	87	17	density	density	NOUN
ajst-19142	87	18	-	-	PUNCT
ajst-19142	87	19	based	base	VERB
ajst-19142	87	20	spatial	spatial	ADJ
ajst-19142	87	21	clustering	clustering	NOUN
ajst-19142	87	22	)	)	PUNCT
ajst-19142	87	23	.	.	PUNCT
ajst-19142	88	1	by	by	ADP
ajst-19142	88	2	leveraging	leverage	VERB
ajst-19142	88	3	machine	machine	NOUN
ajst-19142	88	4	learning	learning	NOUN
ajst-19142	88	5	-	-	PUNCT
ajst-19142	88	6	based	base	VERB
ajst-19142	88	7	k	k	NOUN
ajst-19142	88	8	-	-	PUNCT
ajst-19142	88	9	means	means	NOUN
ajst-19142	88	10	clustering	clustering	NOUN
ajst-19142	88	11	,	,	PUNCT
ajst-19142	88	12	we	we	PRON
ajst-19142	88	13	aim	aim	VERB
ajst-19142	88	14	to	to	PART
ajst-19142	88	15	enhance	enhance	VERB
ajst-19142	88	16	financial	financial	ADJ
ajst-19142	88	17	fraud	fraud	NOUN
ajst-19142	88	18	detection	detection	NOUN
ajst-19142	88	19	strategies	strategy	NOUN
ajst-19142	88	20	and	and	CCONJ
ajst-19142	88	21	contribute	contribute	VERB
ajst-19142	88	22	to	to	ADP
ajst-19142	88	23	the	the	DET
ajst-19142	88	24	advancement	advancement	NOUN
ajst-19142	88	25	of	of	ADP
ajst-19142	88	26	fraud	fraud	NOUN
ajst-19142	88	27	prevention	prevention	NOUN
ajst-19142	88	28	measures	measure	NOUN
ajst-19142	88	29	.	.	PUNCT
ajst-19142	89	1	3.3	3.3	NUM
ajst-19142	89	2	.	.	PUNCT
ajst-19142	90	1	experimental	experimental	ADJ
ajst-19142	90	2	data	datum	NOUN
ajst-19142	90	3	set	set	VERB
ajst-19142	90	4	feature	feature	NOUN
ajst-19142	90	5	engineering	engineering	NOUN
ajst-19142	90	6	data	datum	NOUN
ajst-19142	90	7	set	set	VERB
ajst-19142	90	8	:	:	PUNCT
ajst-19142	90	9	the	the	DET
ajst-19142	90	10	experimental	experimental	ADJ
ajst-19142	90	11	data	datum	NOUN
ajst-19142	90	12	set	set	VERB
ajst-19142	90	13	comprises	comprise	VERB
ajst-19142	90	14	various	various	ADJ
ajst-19142	90	15	features	feature	NOUN
ajst-19142	90	16	related	relate	VERB
ajst-19142	90	17	to	to	ADP
ajst-19142	90	18	financial	financial	ADJ
ajst-19142	90	19	transactions	transaction	NOUN
ajst-19142	90	20	,	,	PUNCT
ajst-19142	90	21	including	include	VERB
ajst-19142	90	22	but	but	CCONJ
ajst-19142	90	23	not	not	PART
ajst-19142	90	24	limited	limit	VERB
ajst-19142	90	25	to	to	ADP
ajst-19142	90	26	:	:	PUNCT
ajst-19142	90	27	table	table	VERB
ajst-19142	90	28	1	1	NUM
ajst-19142	90	29	.	.	PUNCT
ajst-19142	90	30	experimental	experimental	ADJ
ajst-19142	90	31	raw	raw	ADJ
ajst-19142	90	32	data	datum	NOUN
ajst-19142	90	33	eigenvalue	eigenvalue	PROPN
ajst-19142	90	34	variance.percent	variance.percent	PROPN
ajst-19142	90	35	cumulative.variance.percent	cumulative.variance.percent	NOUN
ajst-19142	90	36	dim.1	dim.1	PROPN
ajst-19142	90	37	1.3547009	1.3547009	NUM
ajst-19142	90	38	27.09402	27.09402	NUM
ajst-19142	90	39	27.09402	27.09402	NUM
ajst-19142	90	40	dim.2	dim.2	PROPN
ajst-19142	90	41	1.0067949	1.0067949	NUM
ajst-19142	90	42	20.13590	20.13590	NUM
ajst-19142	90	43	47.22992	47.22992	NUM
ajst-19142	90	44	dim.3	dim.3	VERB
ajst-19142	90	45	0.9926561	0.9926561	NUM
ajst-19142	90	46	19.85312	19.85312	NUM
ajst-19142	90	47	67.08304	67.08304	NUM
ajst-19142	90	48	dim.4	dim.4	NOUN
ajst-19142	90	49	0.9663174	0.9663174	NUM
ajst-19142	90	50	19.32635	19.32635	NUM
ajst-19142	90	51	86.40939	86.40939	NUM
ajst-19142	90	52	dim.5	dim.5	PROPN
ajst-19142	90	53	0.6795306	0.6795306	NUM
ajst-19142	90	54	13.59061	13.59061	NUM
ajst-19142	90	55	100.00000	100.00000	NUM
ajst-19142	90	56	the	the	DET
ajst-19142	90	57	experimental	experimental	ADJ
ajst-19142	90	58	dataset	dataset	NOUN
ajst-19142	90	59	contains	contain	VERB
ajst-19142	90	60	five	five	NUM
ajst-19142	90	61	dimensions	dimension	NOUN
ajst-19142	90	62	,	,	PUNCT
ajst-19142	90	63	each	each	PRON
ajst-19142	90	64	with	with	ADP
ajst-19142	90	65	three	three	NUM
ajst-19142	90	66	attributes	attribute	NOUN
ajst-19142	90	67	:	:	PUNCT
ajst-19142	90	68	eigenvalue	eigenvalue	NOUN
ajst-19142	90	69	,	,	PUNCT
ajst-19142	90	70	variance	variance	NOUN
ajst-19142	90	71	percent	percent	NOUN
ajst-19142	90	72	,	,	PUNCT
ajst-19142	90	73	and	and	CCONJ
ajst-19142	90	74	cumulative	cumulative	ADJ
ajst-19142	90	75	variance	variance	NOUN
ajst-19142	90	76	percent	percent	NOUN
ajst-19142	90	77	.	.	PUNCT
ajst-19142	91	1	these	these	DET
ajst-19142	91	2	properties	property	NOUN
ajst-19142	91	3	are	be	AUX
ajst-19142	91	4	the	the	DET
ajst-19142	91	5	result	result	NOUN
ajst-19142	91	6	of	of	ADP
ajst-19142	91	7	principal	principal	ADJ
ajst-19142	91	8	component	component	NOUN
ajst-19142	91	9	analysis	analysis	NOUN
ajst-19142	91	10	(	(	PUNCT
ajst-19142	91	11	pca	pca	NOUN
ajst-19142	91	12	)	)	PUNCT
ajst-19142	91	13	,	,	PUNCT
ajst-19142	91	14	which	which	PRON
ajst-19142	91	15	is	be	AUX
ajst-19142	91	16	used	use	VERB
ajst-19142	91	17	to	to	PART
ajst-19142	91	18	describe	describe	VERB
ajst-19142	91	19	the	the	DET
ajst-19142	91	20	variation	variation	NOUN
ajst-19142	91	21	and	and	CCONJ
ajst-19142	91	22	proportion	proportion	NOUN
ajst-19142	91	23	of	of	ADP
ajst-19142	91	24	variance	variance	NOUN
ajst-19142	91	25	explained	explain	VERB
ajst-19142	91	26	in	in	ADP
ajst-19142	91	27	the	the	DET
ajst-19142	91	28	data	datum	NOUN
ajst-19142	91	29	set	set	VERB
ajst-19142	91	30	.	.	PUNCT
ajst-19142	92	1	therefore	therefore	ADV
ajst-19142	92	2	,	,	PUNCT
ajst-19142	92	3	an	an	DET
ajst-19142	92	4	overview	overview	NOUN
ajst-19142	92	5	of	of	ADP
ajst-19142	92	6	the	the	DET
ajst-19142	92	7	data	datum	NOUN
ajst-19142	92	8	set	set	VERB
ajst-19142	92	9	can	can	AUX
ajst-19142	92	10	be	be	AUX
ajst-19142	92	11	summarized	summarize	VERB
ajst-19142	92	12	as	as	SCONJ
ajst-19142	92	13	follows	follow	VERB
ajst-19142	92	14	:	:	PUNCT
ajst-19142	92	15	the	the	DET
ajst-19142	92	16	dataset	dataset	NOUN
ajst-19142	92	17	contains	contain	VERB
ajst-19142	92	18	five	five	NUM
ajst-19142	92	19	principal	principal	ADJ
ajst-19142	92	20	components	component	NOUN
ajst-19142	92	21	(	(	PUNCT
ajst-19142	92	22	dimensions	dimension	NOUN
ajst-19142	92	23	)	)	PUNCT
ajst-19142	92	24	,	,	PUNCT
ajst-19142	92	25	named	name	VERB
ajst-19142	92	26	dim.1	dim.1	PROPN
ajst-19142	92	27	through	through	ADP
ajst-19142	92	28	dim.5	dim.5	PROPN
ajst-19142	92	29	.	.	PUNCT
ajst-19142	93	1	for	for	ADP
ajst-19142	93	2	each	each	DET
ajst-19142	93	3	principal	principal	ADJ
ajst-19142	93	4	component	component	NOUN
ajst-19142	93	5	,	,	PUNCT
ajst-19142	93	6	the	the	DET
ajst-19142	93	7	following	follow	VERB
ajst-19142	93	8	three	three	NUM
ajst-19142	93	9	properties	property	NOUN
ajst-19142	93	10	are	be	AUX
ajst-19142	93	11	provided	provide	VERB
ajst-19142	93	12	:	:	PUNCT
ajst-19142	93	13	eigenvalue	eigenvalue	NOUN
ajst-19142	93	14	:	:	PUNCT
ajst-19142	93	15	the	the	DET
ajst-19142	93	16	eigenvalue	eigenvalue	NOUN
ajst-19142	93	17	represents	represent	VERB
ajst-19142	93	18	the	the	DET
ajst-19142	93	19	variance	variance	NOUN
ajst-19142	93	20	explained	explain	VERB
ajst-19142	93	21	by	by	ADP
ajst-19142	93	22	the	the	DET
ajst-19142	93	23	principal	principal	ADJ
ajst-19142	93	24	component	component	NOUN
ajst-19142	93	25	.	.	PUNCT
ajst-19142	94	1	variance	variance	NOUN
ajst-19142	94	2	percent	percent	NOUN
ajst-19142	94	3	:	:	PUNCT
ajst-19142	94	4	the	the	DET
ajst-19142	94	5	percentage	percentage	NOUN
ajst-19142	94	6	of	of	ADP
ajst-19142	94	7	the	the	DET
ajst-19142	94	8	total	total	ADJ
ajst-19142	94	9	variance	variance	NOUN
ajst-19142	94	10	explained	explain	VERB
ajst-19142	94	11	by	by	ADP
ajst-19142	94	12	the	the	DET
ajst-19142	94	13	principal	principal	ADJ
ajst-19142	94	14	component	component	NOUN
ajst-19142	94	15	.	.	PUNCT
ajst-19142	95	1	cumulative	cumulative	ADJ
ajst-19142	95	2	variance	variance	NOUN
ajst-19142	95	3	percent	percent	NOUN
ajst-19142	95	4	:	:	PUNCT
ajst-19142	95	5	represents	represent	VERB
ajst-19142	95	6	the	the	DET
ajst-19142	95	7	cumulative	cumulative	ADJ
ajst-19142	95	8	percentage	percentage	NOUN
ajst-19142	95	9	of	of	ADP
ajst-19142	95	10	the	the	DET
ajst-19142	95	11	total	total	ADJ
ajst-19142	95	12	variance	variance	NOUN
ajst-19142	95	13	explained	explain	VERB
ajst-19142	95	14	by	by	ADP
ajst-19142	95	15	the	the	DET
ajst-19142	95	16	principal	principal	ADJ
ajst-19142	95	17	component	component	NOUN
ajst-19142	95	18	and	and	CCONJ
ajst-19142	95	19	the	the	DET
ajst-19142	95	20	previous	previous	ADJ
ajst-19142	95	21	principal	principal	ADJ
ajst-19142	95	22	component	component	NOUN
ajst-19142	95	23	.	.	PUNCT
ajst-19142	96	1	in	in	ADP
ajst-19142	96	2	summary	summary	NOUN
ajst-19142	96	3	,	,	PUNCT
ajst-19142	96	4	the	the	DET
ajst-19142	96	5	feature	feature	NOUN
ajst-19142	96	6	engineering	engineering	NOUN
ajst-19142	96	7	overview	overview	NOUN
ajst-19142	96	8	of	of	ADP
ajst-19142	96	9	this	this	DET
ajst-19142	96	10	36	36	NUM
ajst-19142	96	11	dataset	dataset	NOUN
ajst-19142	96	12	mainly	mainly	ADV
ajst-19142	96	13	involves	involve	VERB
ajst-19142	96	14	the	the	DET
ajst-19142	96	15	results	result	NOUN
ajst-19142	96	16	of	of	ADP
ajst-19142	96	17	principal	principal	ADJ
ajst-19142	96	18	component	component	NOUN
ajst-19142	96	19	analysis	analysis	NOUN
ajst-19142	96	20	(	(	PUNCT
ajst-19142	96	21	pca	pca	NOUN
ajst-19142	96	22	)	)	PUNCT
ajst-19142	96	23	to	to	PART
ajst-19142	96	24	understand	understand	VERB
ajst-19142	96	25	the	the	DET
ajst-19142	96	26	variation	variation	NOUN
ajst-19142	96	27	and	and	CCONJ
ajst-19142	96	28	variance	variance	NOUN
ajst-19142	96	29	distribution	distribution	NOUN
ajst-19142	96	30	in	in	ADP
ajst-19142	96	31	the	the	DET
ajst-19142	96	32	dataset	dataset	NOUN
ajst-19142	96	33	.	.	PUNCT
ajst-19142	97	1	feature	feature	NOUN
ajst-19142	97	2	engineering	engineering	NOUN
ajst-19142	97	3	:	:	PUNCT
ajst-19142	97	4	  	  	SPACE
ajst-19142	97	5	figure	figure	NOUN
ajst-19142	97	6	2	2	NUM
ajst-19142	97	7	.	.	PUNCT
ajst-19142	97	8	schematic	schematic	ADJ
ajst-19142	97	9	diagram	diagram	NOUN
ajst-19142	97	10	of	of	ADP
ajst-19142	97	11	fraud	fraud	NOUN
ajst-19142	97	12	detection	detection	NOUN
ajst-19142	97	13	feature	feature	NOUN
ajst-19142	97	14	engineering	engineering	NOUN
ajst-19142	97	15	pca	pca	NOUN
ajst-19142	97	16	results	result	VERB
ajst-19142	97	17	1	1	NUM
ajst-19142	97	18	.	.	PUNCT
ajst-19142	97	19	feature	feature	NOUN
ajst-19142	97	20	selection	selection	NOUN
ajst-19142	97	21	and	and	CCONJ
ajst-19142	97	22	dimensionality	dimensionality	NOUN
ajst-19142	97	23	reduction	reduction	NOUN
ajst-19142	97	24	:	:	PUNCT
ajst-19142	97	25	using	use	VERB
ajst-19142	97	26	principal	principal	ADJ
ajst-19142	97	27	component	component	NOUN
ajst-19142	97	28	analysis	analysis	NOUN
ajst-19142	97	29	(	(	PUNCT
ajst-19142	97	30	pca	pca	NOUN
ajst-19142	97	31	)	)	PUNCT
ajst-19142	97	32	results	result	NOUN
ajst-19142	97	33	,	,	PUNCT
ajst-19142	97	34	the	the	DET
ajst-19142	97	35	first	first	ADJ
ajst-19142	97	36	two	two	NUM
ajst-19142	97	37	principal	principal	ADJ
ajst-19142	97	38	components	component	NOUN
ajst-19142	97	39	(	(	PUNCT
ajst-19142	97	40	pc1	pc1	PROPN
ajst-19142	97	41	and	and	CCONJ
ajst-19142	97	42	pc2	pc2	NOUN
ajst-19142	97	43	)	)	PUNCT
ajst-19142	97	44	that	that	PRON
ajst-19142	97	45	explain	explain	VERB
ajst-19142	97	46	the	the	DET
ajst-19142	97	47	maximum	maximum	ADJ
ajst-19142	97	48	variance	variance	NOUN
ajst-19142	97	49	are	be	AUX
ajst-19142	97	50	retained	retain	VERB
ajst-19142	97	51	and	and	CCONJ
ajst-19142	97	52	treated	treat	VERB
ajst-19142	97	53	as	as	ADP
ajst-19142	97	54	new	new	ADJ
ajst-19142	97	55	features	feature	NOUN
ajst-19142	97	56	.	.	PUNCT
ajst-19142	98	1	doing	do	VERB
ajst-19142	98	2	so	so	ADV
ajst-19142	98	3	helps	help	VERB
ajst-19142	98	4	reduce	reduce	VERB
ajst-19142	98	5	the	the	DET
ajst-19142	98	6	dimensionality	dimensionality	NOUN
ajst-19142	98	7	of	of	ADP
ajst-19142	98	8	the	the	DET
ajst-19142	98	9	data	datum	NOUN
ajst-19142	98	10	set	set	VERB
ajst-19142	98	11	and	and	CCONJ
ajst-19142	98	12	preserves	preserve	VERB
ajst-19142	98	13	the	the	DET
ajst-19142	98	14	most	most	ADV
ajst-19142	98	15	important	important	ADJ
ajst-19142	98	16	information	information	NOUN
ajst-19142	98	17	,	,	PUNCT
ajst-19142	98	18	simplifying	simplify	VERB
ajst-19142	98	19	the	the	DET
ajst-19142	98	20	modeling	modeling	NOUN
ajst-19142	98	21	process	process	NOUN
ajst-19142	98	22	.	.	PUNCT
ajst-19142	99	1	2	2	X
ajst-19142	99	2	.	.	X
ajst-19142	99	3	attach	attach	VERB
ajst-19142	99	4	target	target	NOUN
ajst-19142	99	5	column	column	NOUN
ajst-19142	99	6	:	:	PUNCT
ajst-19142	99	7	attach	attach	VERB
ajst-19142	99	8	the	the	DET
ajst-19142	99	9	target	target	NOUN
ajst-19142	99	10	column	column	NOUN
ajst-19142	99	11	(	(	PUNCT
ajst-19142	99	12	fraud	fraud	NOUN
ajst-19142	99	13	)	)	PUNCT
ajst-19142	99	14	from	from	ADP
ajst-19142	99	15	the	the	DET
ajst-19142	99	16	original	original	ADJ
ajst-19142	99	17	data	datum	NOUN
ajst-19142	99	18	set	set	VERB
ajst-19142	99	19	to	to	ADP
ajst-19142	99	20	the	the	DET
ajst-19142	99	21	new	new	ADJ
ajst-19142	99	22	data	datum	NOUN
ajst-19142	99	23	set	set	VERB
ajst-19142	99	24	for	for	ADP
ajst-19142	99	25	use	use	NOUN
ajst-19142	99	26	in	in	ADP
ajst-19142	99	27	classification	classification	NOUN
ajst-19142	99	28	tasks	task	NOUN
ajst-19142	99	29	.	.	PUNCT
ajst-19142	100	1	in	in	ADP
ajst-19142	100	2	this	this	DET
ajst-19142	100	3	way	way	NOUN
ajst-19142	100	4	,	,	PUNCT
ajst-19142	100	5	the	the	DET
ajst-19142	100	6	feature	feature	NOUN
ajst-19142	100	7	transformed	transform	VERB
ajst-19142	100	8	by	by	ADP
ajst-19142	100	9	pca	pca	PROPN
ajst-19142	100	10	can	can	AUX
ajst-19142	100	11	be	be	AUX
ajst-19142	100	12	associated	associate	VERB
ajst-19142	100	13	with	with	ADP
ajst-19142	100	14	the	the	DET
ajst-19142	100	15	target	target	NOUN
ajst-19142	100	16	variable	variable	NOUN
ajst-19142	100	17	,	,	PUNCT
ajst-19142	100	18	and	and	CCONJ
ajst-19142	100	19	the	the	DET
ajst-19142	100	20	relationship	relationship	NOUN
ajst-19142	100	21	between	between	ADP
ajst-19142	100	22	the	the	DET
ajst-19142	100	23	feature	feature	NOUN
ajst-19142	100	24	and	and	CCONJ
ajst-19142	100	25	the	the	DET
ajst-19142	100	26	target	target	NOUN
ajst-19142	100	27	can	can	AUX
ajst-19142	100	28	be	be	AUX
ajst-19142	100	29	better	well	ADV
ajst-19142	100	30	understood	understand	VERB
ajst-19142	100	31	.	.	PUNCT
ajst-19142	101	1	3	3	X
ajst-19142	101	2	.	.	X
ajst-19142	101	3	visualization	visualization	NOUN
ajst-19142	101	4	:	:	PUNCT
ajst-19142	101	5	ggplot2	ggplot2	PROPN
ajst-19142	101	6	library	library	NOUN
ajst-19142	101	7	is	be	AUX
ajst-19142	101	8	used	use	VERB
ajst-19142	101	9	for	for	ADP
ajst-19142	101	10	data	data	NOUN
ajst-19142	101	11	visualization	visualization	NOUN
ajst-19142	101	12	to	to	PART
ajst-19142	101	13	show	show	VERB
ajst-19142	101	14	the	the	DET
ajst-19142	101	15	distribution	distribution	NOUN
ajst-19142	101	16	of	of	ADP
ajst-19142	101	17	fraudulent	fraudulent	ADJ
ajst-19142	101	18	and	and	CCONJ
ajst-19142	101	19	nonfraudulent	nonfraudulent	NOUN
ajst-19142	101	20	transactions	transaction	NOUN
ajst-19142	101	21	in	in	ADP
ajst-19142	101	22	the	the	DET
ajst-19142	101	23	new	new	ADJ
ajst-19142	101	24	feature	feature	NOUN
ajst-19142	101	25	space	space	NOUN
ajst-19142	101	26	.	.	PUNCT
ajst-19142	102	1	fraudulent	fraudulent	ADJ
ajst-19142	102	2	and	and	CCONJ
ajst-19142	102	3	non	non	ADJ
ajst-19142	102	4	-	-	ADJ
ajst-19142	102	5	fraudulent	fraudulent	ADJ
ajst-19142	102	6	transactions	transaction	NOUN
ajst-19142	102	7	are	be	AUX
ajst-19142	102	8	distinguished	distinguish	VERB
ajst-19142	102	9	by	by	ADP
ajst-19142	102	10	different	different	ADJ
ajst-19142	102	11	colors	color	NOUN
ajst-19142	102	12	and	and	CCONJ
ajst-19142	102	13	shapes	shape	NOUN
ajst-19142	102	14	so	so	SCONJ
ajst-19142	102	15	that	that	SCONJ
ajst-19142	102	16	they	they	PRON
ajst-19142	102	17	have	have	VERB
ajst-19142	102	18	a	a	DET
ajst-19142	102	19	clear	clear	ADJ
ajst-19142	102	20	distinction	distinction	NOUN
ajst-19142	102	21	in	in	ADP
ajst-19142	102	22	the	the	DET
ajst-19142	102	23	new	new	ADJ
ajst-19142	102	24	feature	feature	NOUN
ajst-19142	102	25	space	space	NOUN
ajst-19142	102	26	,	,	PUNCT
ajst-19142	102	27	which	which	PRON
ajst-19142	102	28	helps	help	VERB
ajst-19142	102	29	in	in	ADP
ajst-19142	102	30	subsequent	subsequent	ADJ
ajst-19142	102	31	modeling	modeling	NOUN
ajst-19142	102	32	and	and	CCONJ
ajst-19142	102	33	analysis	analysis	NOUN
ajst-19142	102	34	.	.	PUNCT
ajst-19142	103	1	3.4	3.4	NUM
ajst-19142	103	2	.	.	PUNCT
ajst-19142	103	3	class	class	NOUN
ajst-19142	103	4	imbalance	imbalance	NOUN
ajst-19142	103	5	as	as	SCONJ
ajst-19142	103	6	stated	state	VERB
ajst-19142	103	7	before	before	ADV
ajst-19142	103	8	,	,	PUNCT
ajst-19142	103	9	the	the	DET
ajst-19142	103	10	fraud	fraud	NOUN
ajst-19142	103	11	and	and	CCONJ
ajst-19142	103	12	non	non	ADJ
ajst-19142	103	13	-	-	ADJ
ajst-19142	103	14	fraud	fraud	ADJ
ajst-19142	103	15	cases	case	NOUN
ajst-19142	103	16	available	available	ADJ
ajst-19142	103	17	in	in	ADP
ajst-19142	103	18	the	the	DET
ajst-19142	103	19	present	present	ADJ
ajst-19142	103	20	dataset	dataset	NOUN
ajst-19142	103	21	have	have	VERB
ajst-19142	103	22	extremely	extremely	ADV
ajst-19142	103	23	imbalanced	imbalanced	ADJ
ajst-19142	103	24	weights	weight	NOUN
ajst-19142	103	25	,	,	PUNCT
ajst-19142	103	26	with	with	ADP
ajst-19142	103	27	only	only	ADV
ajst-19142	103	28	1.2	1.2	NUM
ajst-19142	103	29	%	%	NOUN
ajst-19142	103	30	out	out	ADP
ajst-19142	103	31	of	of	ADP
ajst-19142	103	32	the	the	DET
ajst-19142	103	33	total	total	ADJ
ajst-19142	103	34	cases	case	NOUN
ajst-19142	103	35	being	be	AUX
ajst-19142	103	36	fraud	fraud	NOUN
ajst-19142	103	37	.	.	PUNCT
ajst-19142	104	1	[	[	X
ajst-19142	104	2	10	10	NUM
ajst-19142	104	3	-	-	SYM
ajst-19142	104	4	12]therefore	12]therefore	NUM
ajst-19142	104	5	,	,	PUNCT
ajst-19142	104	6	there	there	PRON
ajst-19142	104	7	are	be	VERB
ajst-19142	104	8	only	only	ADV
ajst-19142	104	9	7,000	7,000	NUM
ajst-19142	104	10	observations	observation	NOUN
ajst-19142	104	11	labeled	label	VERB
ajst-19142	104	12	as	as	ADP
ajst-19142	104	13	fraud	fraud	NOUN
ajst-19142	104	14	,	,	PUNCT
ajst-19142	104	15	while	while	SCONJ
ajst-19142	104	16	the	the	DET
ajst-19142	104	17	rest	rest	NOUN
ajst-19142	104	18	580,000	580,000	NUM
ajst-19142	104	19	observations	observation	NOUN
ajst-19142	104	20	are	be	AUX
ajst-19142	104	21	labeled	label	VERB
ajst-19142	104	22	as	as	ADP
ajst-19142	104	23	clean	clean	ADJ
ajst-19142	104	24	transactions	transaction	NOUN
ajst-19142	104	25	.	.	PUNCT
ajst-19142	105	1	in	in	ADP
ajst-19142	105	2	a	a	DET
ajst-19142	105	3	classification	classification	NOUN
ajst-19142	105	4	problem	problem	NOUN
ajst-19142	105	5	,	,	PUNCT
ajst-19142	105	6	this	this	PRON
ajst-19142	105	7	would	would	AUX
ajst-19142	105	8	create	create	VERB
ajst-19142	105	9	difficulties	difficulty	NOUN
ajst-19142	105	10	for	for	ADP
ajst-19142	105	11	a	a	DET
ajst-19142	105	12	model	model	NOUN
ajst-19142	105	13	to	to	PART
ajst-19142	105	14	correctly	correctly	ADV
ajst-19142	105	15	identify	identify	VERB
ajst-19142	105	16	the	the	DET
ajst-19142	105	17	fraud	fraud	NOUN
ajst-19142	105	18	label	label	NOUN
ajst-19142	105	19	,	,	PUNCT
ajst-19142	105	20	because	because	SCONJ
ajst-19142	105	21	it	it	PRON
ajst-19142	105	22	is	be	AUX
ajst-19142	105	23	so	so	ADV
ajst-19142	105	24	scarce	scarce	ADJ
ajst-19142	105	25	throughout	throughout	ADP
ajst-19142	105	26	the	the	DET
ajst-19142	105	27	dataset	dataset	NOUN
ajst-19142	105	28	.	.	PUNCT
ajst-19142	106	1	this	this	DET
ajst-19142	106	2	data	data	NOUN
ajst-19142	106	3	structure	structure	NOUN
ajst-19142	106	4	issue	issue	NOUN
ajst-19142	106	5	can	can	AUX
ajst-19142	106	6	be	be	AUX
ajst-19142	106	7	solved	solve	VERB
ajst-19142	106	8	by	by	ADP
ajst-19142	106	9	using	use	VERB
ajst-19142	106	10	two	two	NUM
ajst-19142	106	11	different	different	ADJ
ajst-19142	106	12	sampling	sampling	NOUN
ajst-19142	106	13	techniques	technique	NOUN
ajst-19142	106	14	:	:	PUNCT
ajst-19142	106	15	undersampling	undersample	VERB
ajst-19142	106	16	or	or	CCONJ
ajst-19142	106	17	oversampling	oversampling	ADJ
ajst-19142	106	18	.	.	PUNCT
ajst-19142	107	1	3.5	3.5	NUM
ajst-19142	107	2	.	.	PUNCT
ajst-19142	108	1	undersampling	undersample	VERB
ajst-19142	108	2	splitting	split	VERB
ajst-19142	108	3	the	the	DET
ajst-19142	108	4	data	datum	NOUN
ajst-19142	108	5	65	65	NUM
ajst-19142	108	6	%	%	NOUN
ajst-19142	108	7	35	35	NUM
ajst-19142	108	8	%	%	NOUN
ajst-19142	108	9	undersampling	undersampling	ADJ
ajst-19142	108	10	method	method	NOUN
ajst-19142	108	11	consists	consist	VERB
ajst-19142	108	12	of	of	ADP
ajst-19142	108	13	keeping	keep	VERB
ajst-19142	108	14	all	all	DET
ajst-19142	108	15	available	available	ADJ
ajst-19142	108	16	fraud	fraud	NOUN
ajst-19142	108	17	transactions	transaction	NOUN
ajst-19142	108	18	,	,	PUNCT
ajst-19142	108	19	while	while	SCONJ
ajst-19142	108	20	undersampling	undersample	VERB
ajst-19142	108	21	the	the	DET
ajst-19142	108	22	non	non	ADJ
ajst-19142	108	23	-	-	ADJ
ajst-19142	108	24	fraud	fraud	ADJ
ajst-19142	108	25	transactions	transaction	NOUN
ajst-19142	108	26	to	to	ADP
ajst-19142	108	27	around	around	ADP
ajst-19142	108	28	the	the	DET
ajst-19142	108	29	same	same	ADJ
ajst-19142	108	30	number.the	number.the	DET
ajst-19142	108	31	split	split	NOUN
ajst-19142	108	32	is	be	AUX
ajst-19142	108	33	made	make	VERB
ajst-19142	108	34	so	so	SCONJ
ajst-19142	108	35	that	that	SCONJ
ajst-19142	108	36	proportions	proportion	NOUN
ajst-19142	108	37	within	within	ADP
ajst-19142	108	38	the	the	DET
ajst-19142	108	39	data	datum	NOUN
ajst-19142	108	40	for	for	ADP
ajst-19142	108	41	age	age	NOUN
ajst-19142	108	42	,	,	PUNCT
ajst-19142	108	43	gender	gender	NOUN
ajst-19142	108	44	,	,	PUNCT
ajst-19142	108	45	category	category	NOUN
ajst-19142	108	46	,	,	PUNCT
ajst-19142	108	47	amount_thresh	amount_thresh	ADJ
ajst-19142	108	48	and	and	CCONJ
ajst-19142	108	49	merchant	merchant	NOUN
ajst-19142	108	50	remain	remain	VERB
ajst-19142	108	51	the	the	DET
ajst-19142	108	52	same	same	ADJ
ajst-19142	108	53	final	final	ADJ
ajst-19142	108	54	table	table	NOUN
ajst-19142	108	55	dimension	dimension	NOUN
ajst-19142	108	56	is	be	AUX
ajst-19142	108	57	fraud	fraud	NOUN
ajst-19142	108	58	data	datum	NOUN
ajst-19142	108	59	:	:	PUNCT
ajst-19142	108	60	7,160	7,160	NUM
ajst-19142	108	61	and	and	CCONJ
ajst-19142	108	62	non	non	ADJ
ajst-19142	108	63	fraud	fraud	NOUN
ajst-19142	108	64	data	datum	NOUN
ajst-19142	108	65	:	:	PUNCT
ajst-19142	108	66	9,647	9,647	NUM
ajst-19142	108	67	we	we	PRON
ajst-19142	108	68	split	split	VERB
ajst-19142	108	69	65%-35	65%-35	NUM
ajst-19142	108	70	%	%	NOUN
ajst-19142	108	71	to	to	PART
ajst-19142	108	72	be	be	AUX
ajst-19142	108	73	sure	sure	ADJ
ajst-19142	108	74	that	that	SCONJ
ajst-19142	108	75	the	the	DET
ajst-19142	108	76	model	model	NOUN
ajst-19142	108	77	classifies	classify	VERB
ajst-19142	108	78	as	as	ADV
ajst-19142	108	79	correct	correct	ADJ
ajst-19142	108	80	as	as	ADP
ajst-19142	108	81	possible	possible	ADJ
ajst-19142	108	82	non	non	ADJ
ajst-19142	108	83	frauds	fraud	NOUN
ajst-19142	108	84	as	as	ADV
ajst-19142	108	85	well	well	ADV
ajst-19142	108	86	(	(	PUNCT
ajst-19142	108	87	very	very	ADV
ajst-19142	108	88	important	important	ADJ
ajst-19142	108	89	for	for	ADP
ajst-19142	108	90	the	the	DET
ajst-19142	108	91	relationship	relationship	NOUN
ajst-19142	108	92	with	with	ADP
ajst-19142	108	93	the	the	DET
ajst-19142	108	94	customer	customer	NOUN
ajst-19142	108	95	)	)	PUNCT
ajst-19142	108	96	3.6	3.6	NUM
ajst-19142	108	97	.	.	PUNCT
ajst-19142	109	1	modeling	modeling	NOUN
ajst-19142	109	2	and	and	CCONJ
ajst-19142	109	3	evaluation	evaluation	NOUN
ajst-19142	109	4	#	#	NOUN
ajst-19142	109	5	-------------------inspect	-------------------inspect	PUNCT
ajst-19142	109	6	results	result	NOUN
ajst-19142	109	7	resamples	resample	VERB
ajst-19142	109	8	<	<	NOUN
ajst-19142	109	9	resamples(model_list	resamples(model_list	ADJ
ajst-19142	109	10	)	)	PUNCT
ajst-19142	109	11	dotplot(resamples	dotplot(resample	NOUN
ajst-19142	109	12	,	,	PUNCT
ajst-19142	109	13	metric	metric	ADJ
ajst-19142	109	14	=	=	SYM
ajst-19142	109	15	"	"	PUNCT
ajst-19142	109	16	sens	sen	NOUN
ajst-19142	109	17	"	"	PUNCT
ajst-19142	109	18	)	)	PUNCT
ajst-19142	109	19	  	  	SPACE
ajst-19142	109	20	figure	figure	NOUN
ajst-19142	109	21	3	3	NUM
ajst-19142	109	22	.	.	PUNCT
ajst-19142	110	1	cross	cross	ADJ
ajst-19142	110	2	-	-	ADJ
ajst-19142	110	3	validation	validation	ADJ
ajst-19142	110	4	results	result	NOUN
ajst-19142	110	5	model	model	PROPN
ajst-19142	110	6	dotplot(resamples	dotplot(resample	NOUN
ajst-19142	110	7	,	,	PUNCT
ajst-19142	110	8	metric	metric	ADJ
ajst-19142	110	9	=	=	NOUN
ajst-19142	110	10	"	"	PUNCT
ajst-19142	110	11	spec	spec	NOUN
ajst-19142	110	12	"	"	PUNCT
ajst-19142	110	13	)	)	PUNCT
ajst-19142	110	14	  	  	SPACE
ajst-19142	110	15	figure	figure	NOUN
ajst-19142	110	16	4	4	NUM
ajst-19142	110	17	.	.	PUNCT
ajst-19142	111	1	cross	cross	ADJ
ajst-19142	111	2	-	-	ADJ
ajst-19142	111	3	validation	validation	ADJ
ajst-19142	111	4	results	result	NOUN
ajst-19142	111	5	model	model	NOUN
ajst-19142	111	6	2	2	NUM
ajst-19142	111	7	by	by	ADP
ajst-19142	111	8	evaluating	evaluate	VERB
ajst-19142	111	9	the	the	DET
ajst-19142	111	10	two	two	NUM
ajst-19142	111	11	models	model	NOUN
ajst-19142	111	12	(	(	PUNCT
ajst-19142	111	13	xgbtree	xgbtree	NOUN
ajst-19142	111	14	and	and	CCONJ
ajst-19142	111	15	fda	fda	PROPN
ajst-19142	111	16	)	)	PUNCT
ajst-19142	111	17	on	on	ADP
ajst-19142	111	18	test	test	NOUN
ajst-19142	111	19	data	datum	NOUN
ajst-19142	111	20	,	,	PUNCT
ajst-19142	111	21	we	we	PRON
ajst-19142	111	22	found	find	VERB
ajst-19142	111	23	that	that	SCONJ
ajst-19142	111	24	:	:	PUNCT
ajst-19142	111	25	1	1	X
ajst-19142	111	26	.	.	X
ajst-19142	112	1	on	on	ADP
ajst-19142	112	2	the	the	DET
ajst-19142	112	3	test	test	NOUN
ajst-19142	112	4	data	datum	NOUN
ajst-19142	112	5	set	set	VERB
ajst-19142	112	6	,	,	PUNCT
ajst-19142	112	7	the	the	DET
ajst-19142	112	8	sensitivity	sensitivity	NOUN
ajst-19142	112	9	of	of	ADP
ajst-19142	112	10	xgbtree	xgbtree	PROPN
ajst-19142	112	11	model	model	NOUN
ajst-19142	112	12	was	be	AUX
ajst-19142	112	13	98.28	98.28	NUM
ajst-19142	112	14	%	%	NOUN
ajst-19142	112	15	,	,	PUNCT
ajst-19142	112	16	while	while	SCONJ
ajst-19142	112	17	the	the	DET
ajst-19142	112	18	sensitivity	sensitivity	NOUN
ajst-19142	112	19	of	of	ADP
ajst-19142	112	20	fda	fda	PROPN
ajst-19142	112	21	model	model	NOUN
ajst-19142	112	22	was	be	AUX
ajst-19142	112	23	99.72	99.72	NUM
ajst-19142	112	24	%	%	NOUN
ajst-19142	112	25	.	.	PUNCT
ajst-19142	113	1	this	this	PRON
ajst-19142	113	2	suggests	suggest	VERB
ajst-19142	113	3	that	that	SCONJ
ajst-19142	113	4	the	the	DET
ajst-19142	113	5	fda	fda	PROPN
ajst-19142	113	6	model	model	NOUN
ajst-19142	113	7	is	be	AUX
ajst-19142	113	8	better	well	ADJ
ajst-19142	113	9	at	at	ADP
ajst-19142	113	10	identifying	identify	VERB
ajst-19142	113	11	fraudulent	fraudulent	ADJ
ajst-19142	113	12	transactions	transaction	NOUN
ajst-19142	113	13	.	.	PUNCT
ajst-19142	114	1	2	2	X
ajst-19142	114	2	.	.	X
ajst-19142	114	3	through	through	ADP
ajst-19142	114	4	visualization	visualization	NOUN
ajst-19142	114	5	of	of	ADP
ajst-19142	114	6	confusion	confusion	NOUN
ajst-19142	114	7	matrix	matrix	NOUN
ajst-19142	114	8	,	,	PUNCT
ajst-19142	114	9	we	we	PRON
ajst-19142	114	10	can	can	AUX
ajst-19142	114	11	further	far	ADV
ajst-19142	114	12	analyze	analyze	VERB
ajst-19142	114	13	the	the	DET
ajst-19142	114	14	model	model	NOUN
ajst-19142	114	15	's	's	PART
ajst-19142	114	16	performance	performance	NOUN
ajst-19142	114	17	on	on	ADP
ajst-19142	114	18	test	test	NOUN
ajst-19142	114	19	data	datum	NOUN
ajst-19142	114	20	.	.	PUNCT
ajst-19142	115	1	the	the	DET
ajst-19142	115	2	confusion	confusion	NOUN
ajst-19142	115	3	matrix	matrix	NOUN
ajst-19142	115	4	can	can	AUX
ajst-19142	115	5	help	help	VERB
ajst-19142	115	6	us	we	PRON
ajst-19142	115	7	understand	understand	VERB
ajst-19142	115	8	the	the	DET
ajst-19142	115	9	model	model	NOUN
ajst-19142	115	10	's	's	PART
ajst-19142	115	11	prediction	prediction	NOUN
ajst-19142	115	12	accuracy	accuracy	NOUN
ajst-19142	115	13	across	across	ADP
ajst-19142	115	14	different	different	ADJ
ajst-19142	115	15	categories	category	NOUN
ajst-19142	115	16	(	(	PUNCT
ajst-19142	115	17	fraudulent	fraudulent	ADJ
ajst-19142	115	18	and	and	CCONJ
ajst-19142	115	19	non	non	ADJ
ajst-19142	115	20	-	-	ADJ
ajst-19142	115	21	fraudulent	fraudulent	ADJ
ajst-19142	115	22	transactions	transaction	NOUN
ajst-19142	115	23	)	)	PUNCT
ajst-19142	115	24	and	and	CCONJ
ajst-19142	115	25	identify	identify	VERB
ajst-19142	115	26	cases	case	NOUN
ajst-19142	115	27	of	of	ADP
ajst-19142	115	28	misclassification	misclassification	NOUN
ajst-19142	115	29	.	.	PUNCT
ajst-19142	116	1	in	in	ADP
ajst-19142	116	2	summary	summary	NOUN
ajst-19142	116	3	,	,	PUNCT
ajst-19142	116	4	the	the	DET
ajst-19142	116	5	evaluation	evaluation	NOUN
ajst-19142	116	6	results	result	NOUN
ajst-19142	116	7	based	base	VERB
ajst-19142	116	8	on	on	ADP
ajst-19142	116	9	the	the	DET
ajst-19142	116	10	test	test	NOUN
ajst-19142	116	11	data	datum	NOUN
ajst-19142	116	12	set	set	VERB
ajst-19142	116	13	show	show	VERB
ajst-19142	116	14	that	that	SCONJ
ajst-19142	116	15	the	the	DET
ajst-19142	116	16	fda	fda	PROPN
ajst-19142	116	17	model	model	NOUN
ajst-19142	116	18	is	be	AUX
ajst-19142	116	19	better	well	ADJ
ajst-19142	116	20	at	at	ADP
ajst-19142	116	21	identifying	identify	VERB
ajst-19142	116	22	fraudulent	fraudulent	ADJ
ajst-19142	116	23	transactions	transaction	NOUN
ajst-19142	116	24	and	and	CCONJ
ajst-19142	116	25	its	its	PRON
ajst-19142	116	26	sensitivity	sensitivity	NOUN
ajst-19142	116	27	is	be	AUX
ajst-19142	116	28	higher	high	ADJ
ajst-19142	116	29	.	.	PUNCT
ajst-19142	117	1	therefore	therefore	ADV
ajst-19142	117	2	,	,	PUNCT
ajst-19142	117	3	in	in	ADP
ajst-19142	117	4	practical	practical	ADJ
ajst-19142	117	5	applications	application	NOUN
ajst-19142	117	6	,	,	PUNCT
ajst-19142	117	7	we	we	PRON
ajst-19142	117	8	can	can	AUX
ajst-19142	117	9	consider	consider	VERB
ajst-19142	117	10	preferentially	preferentially	ADV
ajst-19142	117	11	selecting	select	VERB
ajst-19142	117	12	the	the	DET
ajst-19142	117	13	fda	fda	PROPN
ajst-19142	117	14	model	model	NOUN
ajst-19142	117	15	for	for	ADP
ajst-19142	117	16	fraud	fraud	NOUN
ajst-19142	117	17	detection	detection	NOUN
ajst-19142	117	18	tasks	task	NOUN
ajst-19142	117	19	.	.	PUNCT
ajst-19142	118	1	4	4	X
ajst-19142	118	2	.	.	X
ajst-19142	118	3	experimental	experimental	ADJ
ajst-19142	118	4	results	result	NOUN
ajst-19142	118	5	and	and	CCONJ
ajst-19142	118	6	evaluation	evaluation	NOUN
ajst-19142	118	7	4.1	4.1	NUM
ajst-19142	118	8	.	.	PUNCT
ajst-19142	119	1	kmeans	kmean	NOUN
ajst-19142	119	2	clustering	cluster	VERB
ajst-19142	119	3	in	in	ADP
ajst-19142	119	4	this	this	DET
ajst-19142	119	5	part	part	NOUN
ajst-19142	119	6	,	,	PUNCT
ajst-19142	119	7	the	the	DET
ajst-19142	119	8	experiment	experiment	NOUN
ajst-19142	119	9	of	of	ADP
ajst-19142	119	10	kmeans	kmean	NOUN
ajst-19142	119	11	clustering	cluster	VERB
ajst-19142	119	12	is	be	AUX
ajst-19142	119	13	comprehensively	comprehensively	ADV
ajst-19142	119	14	explored	explore	VERB
ajst-19142	119	15	and	and	CCONJ
ajst-19142	119	16	analyzed	analyze	VERB
ajst-19142	119	17	.	.	PUNCT
ajst-19142	120	1	first	first	ADV
ajst-19142	120	2	,	,	PUNCT
ajst-19142	120	3	kmeans	kmean	NOUN
ajst-19142	120	4	37	37	NUM
ajst-19142	120	5	clustering	clustering	NOUN
ajst-19142	120	6	was	be	AUX
ajst-19142	120	7	performed	perform	VERB
ajst-19142	120	8	on	on	ADP
ajst-19142	120	9	the	the	DET
ajst-19142	120	10	entire	entire	ADJ
ajst-19142	120	11	dataset	dataset	NOUN
ajst-19142	120	12	,	,	PUNCT
ajst-19142	120	13	using	use	VERB
ajst-19142	120	14	the	the	DET
ajst-19142	120	15	first	first	ADJ
ajst-19142	120	16	three	three	NUM
ajst-19142	120	17	principal	principal	ADJ
ajst-19142	120	18	components	component	NOUN
ajst-19142	120	19	(	(	PUNCT
ajst-19142	120	20	pcs	pc	NOUN
ajst-19142	120	21	)	)	PUNCT
ajst-19142	120	22	,	,	PUNCT
ajst-19142	120	23	which	which	PRON
ajst-19142	120	24	together	together	ADV
ajst-19142	120	25	explained	explain	VERB
ajst-19142	120	26	77	77	NUM
ajst-19142	120	27	%	%	NOUN
ajst-19142	120	28	of	of	ADP
ajst-19142	120	29	the	the	DET
ajst-19142	120	30	variability	variability	NOUN
ajst-19142	120	31	.	.	PUNCT
ajst-19142	121	1	we	we	PRON
ajst-19142	121	2	used	use	VERB
ajst-19142	121	3	three	three	NUM
ajst-19142	121	4	cluster	cluster	NOUN
ajst-19142	121	5	centers	center	NOUN
ajst-19142	121	6	and	and	CCONJ
ajst-19142	121	7	assigned	assign	VERB
ajst-19142	121	8	each	each	DET
ajst-19142	121	9	sample	sample	NOUN
ajst-19142	121	10	to	to	ADP
ajst-19142	121	11	the	the	DET
ajst-19142	121	12	nearest	near	ADJ
ajst-19142	121	13	cluster	cluster	NOUN
ajst-19142	121	14	center	center	NOUN
ajst-19142	121	15	.	.	PUNCT
ajst-19142	122	1	we	we	PRON
ajst-19142	122	2	then	then	ADV
ajst-19142	122	3	compared	compare	VERB
ajst-19142	122	4	the	the	DET
ajst-19142	122	5	clustering	clustering	ADJ
ajst-19142	122	6	results	result	NOUN
ajst-19142	122	7	with	with	ADP
ajst-19142	122	8	the	the	DET
ajst-19142	122	9	fraud	fraud	NOUN
ajst-19142	122	10	labels	label	NOUN
ajst-19142	122	11	and	and	CCONJ
ajst-19142	122	12	calculated	calculate	VERB
ajst-19142	122	13	the	the	DET
ajst-19142	122	14	mean	mean	NOUN
ajst-19142	122	15	of	of	ADP
ajst-19142	122	16	each	each	DET
ajst-19142	122	17	cluster	cluster	NOUN
ajst-19142	122	18	to	to	PART
ajst-19142	122	19	understand	understand	VERB
ajst-19142	122	20	the	the	DET
ajst-19142	122	21	feature	feature	NOUN
ajst-19142	122	22	differences	difference	NOUN
ajst-19142	122	23	between	between	ADP
ajst-19142	122	24	the	the	DET
ajst-19142	122	25	different	different	ADJ
ajst-19142	122	26	clusters	cluster	NOUN
ajst-19142	122	27	.	.	PUNCT
ajst-19142	122	28	  	  	SPACE
ajst-19142	122	29	figure	figure	NOUN
ajst-19142	122	30	5	5	NUM
ajst-19142	122	31	.	.	PUNCT
ajst-19142	123	1	k	k	X
ajst-19142	123	2	-	-	PUNCT
ajst-19142	123	3	means	mean	VERB
ajst-19142	123	4	data	data	NOUN
ajst-19142	123	5	detection	detection	NOUN
ajst-19142	123	6	results	result	NOUN
ajst-19142	123	7	from	from	ADP
ajst-19142	123	8	the	the	DET
ajst-19142	123	9	clustering	clustering	ADJ
ajst-19142	123	10	results	result	NOUN
ajst-19142	123	11	,	,	PUNCT
ajst-19142	123	12	we	we	PRON
ajst-19142	123	13	can	can	AUX
ajst-19142	123	14	see	see	VERB
ajst-19142	123	15	the	the	DET
ajst-19142	123	16	distribution	distribution	NOUN
ajst-19142	123	17	of	of	ADP
ajst-19142	123	18	the	the	DET
ajst-19142	123	19	three	three	NUM
ajst-19142	123	20	cluster	cluster	NOUN
ajst-19142	123	21	centers	center	NOUN
ajst-19142	123	22	,	,	PUNCT
ajst-19142	123	23	and	and	CCONJ
ajst-19142	123	24	find	find	VERB
ajst-19142	123	25	that	that	SCONJ
ajst-19142	123	26	there	there	PRON
ajst-19142	123	27	are	be	VERB
ajst-19142	123	28	almost	almost	ADV
ajst-19142	123	29	no	no	PRON
ajst-19142	123	30	fraud	fraud	NOUN
ajst-19142	123	31	cases	case	NOUN
ajst-19142	123	32	in	in	ADP
ajst-19142	123	33	cluster	cluster	NOUN
ajst-19142	123	34	1	1	NUM
ajst-19142	123	35	and	and	CCONJ
ajst-19142	123	36	cluster	cluster	NOUN
ajst-19142	123	37	2	2	NUM
ajst-19142	123	38	,	,	PUNCT
ajst-19142	123	39	while	while	SCONJ
ajst-19142	123	40	cluster	cluster	NOUN
ajst-19142	123	41	3	3	NUM
ajst-19142	123	42	contains	contain	VERB
ajst-19142	123	43	the	the	DET
ajst-19142	123	44	majority	majority	NOUN
ajst-19142	123	45	of	of	ADP
ajst-19142	123	46	fraud	fraud	NOUN
ajst-19142	123	47	cases	case	NOUN
ajst-19142	123	48	.	.	PUNCT
ajst-19142	124	1	further	further	ADJ
ajst-19142	124	2	analysis	analysis	NOUN
ajst-19142	124	3	found	find	VERB
ajst-19142	124	4	that	that	SCONJ
ajst-19142	124	5	cluster	cluster	NOUN
ajst-19142	124	6	3	3	NUM
ajst-19142	124	7	was	be	AUX
ajst-19142	124	8	significantly	significantly	ADV
ajst-19142	124	9	different	different	ADJ
ajst-19142	124	10	from	from	ADP
ajst-19142	124	11	the	the	DET
ajst-19142	124	12	other	other	ADJ
ajst-19142	124	13	two	two	NUM
ajst-19142	124	14	clusters	cluster	NOUN
ajst-19142	124	15	in	in	ADP
ajst-19142	124	16	terms	term	NOUN
ajst-19142	124	17	of	of	ADP
ajst-19142	124	18	amount	amount	NOUN
ajst-19142	124	19	,	,	PUNCT
ajst-19142	124	20	gender	gender	NOUN
ajst-19142	124	21	,	,	PUNCT
ajst-19142	124	22	age	age	NOUN
ajst-19142	124	23	,	,	PUNCT
ajst-19142	124	24	category	category	NOUN
ajst-19142	124	25	,	,	PUNCT
ajst-19142	124	26	etc	etc	X
ajst-19142	124	27	.	.	X
ajst-19142	124	28	,	,	PUNCT
ajst-19142	124	29	suggesting	suggest	VERB
ajst-19142	124	30	that	that	SCONJ
ajst-19142	124	31	these	these	DET
ajst-19142	124	32	characteristics	characteristic	NOUN
ajst-19142	124	33	may	may	AUX
ajst-19142	124	34	be	be	AUX
ajst-19142	124	35	related	relate	VERB
ajst-19142	124	36	to	to	ADP
ajst-19142	124	37	fraud	fraud	VERB
ajst-19142	124	38	.	.	PUNCT
ajst-19142	125	1	at	at	ADP
ajst-19142	125	2	the	the	DET
ajst-19142	125	3	same	same	ADJ
ajst-19142	125	4	time	time	NOUN
ajst-19142	125	5	,	,	PUNCT
ajst-19142	125	6	by	by	ADP
ajst-19142	125	7	visualizing	visualize	VERB
ajst-19142	125	8	the	the	DET
ajst-19142	125	9	results	result	NOUN
ajst-19142	125	10	of	of	ADP
ajst-19142	125	11	principal	principal	ADJ
ajst-19142	125	12	component	component	NOUN
ajst-19142	125	13	analysis	analysis	NOUN
ajst-19142	125	14	(	(	PUNCT
ajst-19142	125	15	pca	pca	NOUN
ajst-19142	125	16	)	)	PUNCT
ajst-19142	125	17	,	,	PUNCT
ajst-19142	125	18	we	we	PRON
ajst-19142	125	19	can	can	AUX
ajst-19142	125	20	show	show	VERB
ajst-19142	125	21	the	the	DET
ajst-19142	125	22	distribution	distribution	NOUN
ajst-19142	125	23	of	of	ADP
ajst-19142	125	24	different	different	ADJ
ajst-19142	125	25	clusters	cluster	NOUN
ajst-19142	125	26	in	in	ADP
ajst-19142	125	27	three	three	NUM
ajst-19142	125	28	-	-	PUNCT
ajst-19142	125	29	dimensional	dimensional	ADJ
ajst-19142	125	30	space	space	NOUN
ajst-19142	125	31	.	.	PUNCT
ajst-19142	126	1	this	this	PRON
ajst-19142	126	2	helps	help	VERB
ajst-19142	126	3	to	to	PART
ajst-19142	126	4	intuitively	intuitively	ADV
ajst-19142	126	5	understand	understand	VERB
ajst-19142	126	6	the	the	DET
ajst-19142	126	7	clustering	clustering	NOUN
ajst-19142	126	8	of	of	ADP
ajst-19142	126	9	samples	sample	NOUN
ajst-19142	126	10	in	in	ADP
ajst-19142	126	11	the	the	DET
ajst-19142	126	12	data	datum	NOUN
ajst-19142	126	13	set	set	VERB
ajst-19142	126	14	and	and	CCONJ
ajst-19142	126	15	observe	observe	VERB
ajst-19142	126	16	the	the	DET
ajst-19142	126	17	degree	degree	NOUN
ajst-19142	126	18	of	of	ADP
ajst-19142	126	19	separation	separation	NOUN
ajst-19142	126	20	between	between	ADP
ajst-19142	126	21	different	different	ADJ
ajst-19142	126	22	clusters	cluster	NOUN
ajst-19142	126	23	.	.	PUNCT
ajst-19142	127	1	in	in	ADP
ajst-19142	127	2	summary	summary	NOUN
ajst-19142	127	3	,	,	PUNCT
ajst-19142	127	4	the	the	DET
ajst-19142	127	5	results	result	NOUN
ajst-19142	127	6	of	of	ADP
ajst-19142	127	7	this	this	DET
ajst-19142	127	8	experiment	experiment	NOUN
ajst-19142	127	9	show	show	VERB
ajst-19142	127	10	that	that	SCONJ
ajst-19142	127	11	kmeans	kmean	NOUN
ajst-19142	127	12	clustering	cluster	VERB
ajst-19142	127	13	has	have	VERB
ajst-19142	127	14	a	a	DET
ajst-19142	127	15	potential	potential	ADJ
ajst-19142	127	16	application	application	NOUN
ajst-19142	127	17	prospect	prospect	NOUN
ajst-19142	127	18	in	in	ADP
ajst-19142	127	19	financial	financial	ADJ
ajst-19142	127	20	fraud	fraud	NOUN
ajst-19142	127	21	detection	detection	NOUN
ajst-19142	127	22	.	.	PUNCT
ajst-19142	128	1	by	by	ADP
ajst-19142	128	2	performing	perform	VERB
ajst-19142	128	3	cluster	cluster	NOUN
ajst-19142	128	4	analysis	analysis	NOUN
ajst-19142	128	5	on	on	ADP
ajst-19142	128	6	the	the	DET
ajst-19142	128	7	data	datum	NOUN
ajst-19142	128	8	set	set	NOUN
ajst-19142	128	9	,	,	PUNCT
ajst-19142	128	10	we	we	PRON
ajst-19142	128	11	are	be	AUX
ajst-19142	128	12	able	able	ADJ
ajst-19142	128	13	to	to	PART
ajst-19142	128	14	find	find	VERB
ajst-19142	128	15	feature	feature	NOUN
ajst-19142	128	16	differences	difference	NOUN
ajst-19142	128	17	between	between	ADP
ajst-19142	128	18	different	different	ADJ
ajst-19142	128	19	clusters	cluster	NOUN
ajst-19142	128	20	and	and	CCONJ
ajst-19142	128	21	identify	identify	VERB
ajst-19142	128	22	potential	potential	ADJ
ajst-19142	128	23	fraud	fraud	NOUN
ajst-19142	128	24	cases	case	NOUN
ajst-19142	128	25	.	.	PUNCT
ajst-19142	129	1	this	this	PRON
ajst-19142	129	2	provides	provide	VERB
ajst-19142	129	3	financial	financial	ADJ
ajst-19142	129	4	institutions	institution	NOUN
ajst-19142	129	5	with	with	ADP
ajst-19142	129	6	an	an	DET
ajst-19142	129	7	effective	effective	ADJ
ajst-19142	129	8	tool	tool	NOUN
ajst-19142	129	9	that	that	PRON
ajst-19142	129	10	can	can	AUX
ajst-19142	129	11	help	help	VERB
ajst-19142	129	12	them	they	PRON
ajst-19142	129	13	better	well	ADV
ajst-19142	129	14	identify	identify	VERB
ajst-19142	129	15	and	and	CCONJ
ajst-19142	129	16	prevent	prevent	VERB
ajst-19142	129	17	fraud	fraud	NOUN
ajst-19142	129	18	,	,	PUNCT
ajst-19142	129	19	thereby	thereby	ADV
ajst-19142	129	20	improving	improve	VERB
ajst-19142	129	21	the	the	DET
ajst-19142	129	22	safety	safety	NOUN
ajst-19142	129	23	and	and	CCONJ
ajst-19142	129	24	reliability	reliability	NOUN
ajst-19142	129	25	of	of	ADP
ajst-19142	129	26	the	the	DET
ajst-19142	129	27	financial	financial	ADJ
ajst-19142	129	28	system	system	NOUN
ajst-19142	129	29	.	.	PUNCT
ajst-19142	130	1	4.2	4.2	NUM
ajst-19142	130	2	.	.	PUNCT
ajst-19142	130	3	outlier	outlier	NOUN
ajst-19142	130	4	evaluation	evaluation	NOUN
ajst-19142	130	5	after	after	ADP
ajst-19142	130	6	obtaining	obtain	VERB
ajst-19142	130	7	k	k	NOUN
ajst-19142	130	8	-	-	PUNCT
ajst-19142	130	9	means	mean	VERB
ajst-19142	130	10	credit	credit	NOUN
ajst-19142	130	11	fraud	fraud	NOUN
ajst-19142	130	12	detection	detection	NOUN
ajst-19142	130	13	results	result	NOUN
ajst-19142	130	14	,	,	PUNCT
ajst-19142	130	15	the	the	DET
ajst-19142	130	16	original	original	ADJ
ajst-19142	130	17	results	result	NOUN
ajst-19142	130	18	need	need	VERB
ajst-19142	130	19	to	to	PART
ajst-19142	130	20	be	be	AUX
ajst-19142	130	21	evaluated	evaluate	VERB
ajst-19142	130	22	numerically	numerically	ADV
ajst-19142	130	23	.	.	PUNCT
ajst-19142	131	1	firstly	firstly	ADV
ajst-19142	131	2	,	,	PUNCT
ajst-19142	131	3	the	the	DET
ajst-19142	131	4	k	k	NOUN
ajst-19142	131	5	-	-	PUNCT
ajst-19142	131	6	means	mean	VERB
ajst-19142	131	7	clustering	clustering	ADJ
ajst-19142	131	8	algorithm	algorithm	NOUN
ajst-19142	131	9	is	be	AUX
ajst-19142	131	10	used	use	VERB
ajst-19142	131	11	to	to	PART
ajst-19142	131	12	perform	perform	VERB
ajst-19142	131	13	cluster	cluster	NOUN
ajst-19142	131	14	analysis	analysis	NOUN
ajst-19142	131	15	on	on	ADP
ajst-19142	131	16	the	the	DET
ajst-19142	131	17	entire	entire	ADJ
ajst-19142	131	18	data	datum	NOUN
ajst-19142	131	19	set	set	VERB
ajst-19142	131	20	.	.	PUNCT
ajst-19142	132	1	by	by	ADP
ajst-19142	132	2	calculating	calculate	VERB
ajst-19142	132	3	the	the	DET
ajst-19142	132	4	euclidean	euclidean	ADJ
ajst-19142	132	5	distance	distance	NOUN
ajst-19142	132	6	of	of	ADP
ajst-19142	132	7	each	each	DET
ajst-19142	132	8	sample	sample	NOUN
ajst-19142	132	9	point	point	NOUN
ajst-19142	132	10	to	to	ADP
ajst-19142	132	11	the	the	DET
ajst-19142	132	12	center	center	NOUN
ajst-19142	132	13	of	of	ADP
ajst-19142	132	14	the	the	DET
ajst-19142	132	15	cluster	cluster	NOUN
ajst-19142	132	16	to	to	PART
ajst-19142	132	17	which	which	PRON
ajst-19142	132	18	it	it	PRON
ajst-19142	132	19	belongs	belong	VERB
ajst-19142	132	20	,	,	PUNCT
ajst-19142	132	21	we	we	PRON
ajst-19142	132	22	determine	determine	VERB
ajst-19142	132	23	the	the	DET
ajst-19142	132	24	outlier	outlier	NOUN
ajst-19142	132	25	.	.	PUNCT
ajst-19142	133	1	we	we	PRON
ajst-19142	133	2	then	then	ADV
ajst-19142	133	3	label	label	VERB
ajst-19142	133	4	these	these	DET
ajst-19142	133	5	outliers	outlier	NOUN
ajst-19142	133	6	as	as	ADP
ajst-19142	133	7	abnormal	abnormal	ADJ
ajst-19142	133	8	behavior	behavior	NOUN
ajst-19142	133	9	and	and	CCONJ
ajst-19142	133	10	combine	combine	VERB
ajst-19142	133	11	them	they	PRON
ajst-19142	133	12	with	with	ADP
ajst-19142	133	13	the	the	DET
ajst-19142	133	14	original	original	ADJ
ajst-19142	133	15	data	datum	NOUN
ajst-19142	133	16	set	set	VERB
ajst-19142	133	17	to	to	PART
ajst-19142	133	18	get	get	VERB
ajst-19142	133	19	the	the	DET
ajst-19142	133	20	final	final	ADJ
ajst-19142	133	21	data	datum	NOUN
ajst-19142	133	22	set	set	VERB
ajst-19142	133	23	.	.	PUNCT
ajst-19142	134	1	finally	finally	ADV
ajst-19142	134	2	,	,	PUNCT
ajst-19142	134	3	we	we	PRON
ajst-19142	134	4	evaluate	evaluate	VERB
ajst-19142	134	5	the	the	DET
ajst-19142	134	6	performance	performance	NOUN
ajst-19142	134	7	of	of	ADP
ajst-19142	134	8	k	k	NOUN
ajst-19142	134	9	-	-	PUNCT
ajst-19142	134	10	means	means	NOUN
ajst-19142	134	11	clustering	cluster	VERB
ajst-19142	134	12	by	by	ADP
ajst-19142	134	13	plotting	plot	VERB
ajst-19142	134	14	a	a	DET
ajst-19142	134	15	confusion	confusion	NOUN
ajst-19142	134	16	matrix	matrix	NOUN
ajst-19142	134	17	to	to	PART
ajst-19142	134	18	show	show	VERB
ajst-19142	134	19	the	the	DET
ajst-19142	134	20	relationship	relationship	NOUN
ajst-19142	134	21	between	between	ADP
ajst-19142	134	22	the	the	DET
ajst-19142	134	23	predicted	predict	VERB
ajst-19142	134	24	results	result	NOUN
ajst-19142	134	25	of	of	ADP
ajst-19142	134	26	fraud	fraud	NOUN
ajst-19142	134	27	and	and	CCONJ
ajst-19142	134	28	the	the	DET
ajst-19142	134	29	actual	actual	ADJ
ajst-19142	134	30	labels	label	NOUN
ajst-19142	134	31	.	.	PUNCT
ajst-19142	135	1	figure	figure	NOUN
ajst-19142	135	2	6	6	NUM
ajst-19142	135	3	.	.	PUNCT
ajst-19142	136	1	k	k	X
ajst-19142	136	2	-	-	PUNCT
ajst-19142	136	3	means	mean	VERB
ajst-19142	136	4	cluster	cluster	NOUN
ajst-19142	136	5	data	datum	NOUN
ajst-19142	136	6	structure	structure	NOUN
ajst-19142	136	7	evaluation	evaluation	NOUN
ajst-19142	136	8	model	model	NOUN
ajst-19142	136	9	through	through	ADP
ajst-19142	136	10	the	the	DET
ajst-19142	136	11	identification	identification	NOUN
ajst-19142	136	12	of	of	ADP
ajst-19142	136	13	outliers	outlier	NOUN
ajst-19142	136	14	,	,	PUNCT
ajst-19142	136	15	we	we	PRON
ajst-19142	136	16	can	can	AUX
ajst-19142	136	17	gain	gain	VERB
ajst-19142	136	18	a	a	DET
ajst-19142	136	19	deeper	deep	ADJ
ajst-19142	136	20	understanding	understanding	NOUN
ajst-19142	136	21	of	of	ADP
ajst-19142	136	22	the	the	DET
ajst-19142	136	23	potential	potential	ADJ
ajst-19142	136	24	abnormal	abnormal	ADJ
ajst-19142	136	25	behavior	behavior	NOUN
ajst-19142	136	26	in	in	ADP
ajst-19142	136	27	the	the	DET
ajst-19142	136	28	data	datum	NOUN
ajst-19142	136	29	set	set	VERB
ajst-19142	136	30	.	.	PUNCT
ajst-19142	137	1	the	the	DET
ajst-19142	137	2	advantage	advantage	NOUN
ajst-19142	137	3	of	of	ADP
ajst-19142	137	4	this	this	DET
ajst-19142	137	5	approach	approach	NOUN
ajst-19142	137	6	is	be	AUX
ajst-19142	137	7	that	that	SCONJ
ajst-19142	137	8	it	it	PRON
ajst-19142	137	9	can	can	AUX
ajst-19142	137	10	help	help	VERB
ajst-19142	137	11	us	we	PRON
ajst-19142	137	12	find	find	VERB
ajst-19142	137	13	anomalies	anomaly	NOUN
ajst-19142	137	14	that	that	PRON
ajst-19142	137	15	might	might	AUX
ajst-19142	137	16	be	be	AUX
ajst-19142	137	17	missed	miss	VERB
ajst-19142	137	18	in	in	ADP
ajst-19142	137	19	traditional	traditional	ADJ
ajst-19142	137	20	methods	method	NOUN
ajst-19142	137	21	,	,	PUNCT
ajst-19142	137	22	thus	thus	ADV
ajst-19142	137	23	improving	improve	VERB
ajst-19142	137	24	the	the	DET
ajst-19142	137	25	ability	ability	NOUN
ajst-19142	137	26	to	to	PART
ajst-19142	137	27	identify	identify	VERB
ajst-19142	137	28	potential	potential	ADJ
ajst-19142	137	29	fraud	fraud	NOUN
ajst-19142	137	30	.	.	PUNCT
ajst-19142	138	1	[	[	X
ajst-19142	138	2	13][14]in	13][14]in	NUM
ajst-19142	138	3	this	this	DET
ajst-19142	138	4	experiment	experiment	NOUN
ajst-19142	138	5	,	,	PUNCT
ajst-19142	138	6	although	although	SCONJ
ajst-19142	138	7	the	the	DET
ajst-19142	138	8	number	number	NOUN
ajst-19142	138	9	of	of	ADP
ajst-19142	138	10	outliers	outlier	NOUN
ajst-19142	138	11	is	be	AUX
ajst-19142	138	12	relatively	relatively	ADV
ajst-19142	138	13	small	small	ADJ
ajst-19142	138	14	,	,	PUNCT
ajst-19142	138	15	they	they	PRON
ajst-19142	138	16	provide	provide	VERB
ajst-19142	138	17	important	important	ADJ
ajst-19142	138	18	information	information	NOUN
ajst-19142	138	19	about	about	ADP
ajst-19142	138	20	fraud	fraud	NOUN
ajst-19142	138	21	and	and	CCONJ
ajst-19142	138	22	help	help	VERB
ajst-19142	138	23	us	we	PRON
ajst-19142	138	24	to	to	PART
ajst-19142	138	25	more	more	ADV
ajst-19142	138	26	accurately	accurately	ADV
ajst-19142	138	27	understand	understand	VERB
ajst-19142	138	28	the	the	DET
ajst-19142	138	29	patterns	pattern	NOUN
ajst-19142	138	30	of	of	ADP
ajst-19142	138	31	fraud	fraud	NOUN
ajst-19142	138	32	in	in	ADP
ajst-19142	138	33	the	the	DET
ajst-19142	138	34	data	datum	NOUN
ajst-19142	138	35	set	set	VERB
ajst-19142	138	36	.	.	PUNCT
ajst-19142	139	1	4.3	4.3	NUM
ajst-19142	139	2	.	.	PUNCT
ajst-19142	140	1	k	k	X
ajst-19142	140	2	-	-	PUNCT
ajst-19142	140	3	means	mean	VERB
ajst-19142	140	4	results	result	NOUN
ajst-19142	140	5	of	of	ADP
ajst-19142	140	6	fraud	fraud	NOUN
ajst-19142	140	7	detection	detection	NOUN
ajst-19142	140	8	experiments	experiment	VERB
ajst-19142	140	9	k	k	NOUN
ajst-19142	140	10	-	-	PUNCT
ajst-19142	140	11	means	mean	VERB
ajst-19142	140	12	clustering	clustering	ADJ
ajst-19142	140	13	algorithm	algorithm	NOUN
ajst-19142	140	14	performs	perform	VERB
ajst-19142	140	15	best	good	ADJ
ajst-19142	140	16	in	in	ADP
ajst-19142	140	17	financial	financial	ADJ
ajst-19142	140	18	fraud	fraud	NOUN
ajst-19142	140	19	detection	detection	NOUN
ajst-19142	140	20	.	.	PUNCT
ajst-19142	141	1	through	through	ADP
ajst-19142	141	2	the	the	DET
ajst-19142	141	3	experiment	experiment	NOUN
ajst-19142	141	4	,	,	PUNCT
ajst-19142	141	5	we	we	PRON
ajst-19142	141	6	can	can	AUX
ajst-19142	141	7	find	find	VERB
ajst-19142	141	8	:	:	PUNCT
ajst-19142	142	1	1	1	X
ajst-19142	142	2	.	.	PUNCT
ajst-19142	143	1	the	the	DET
ajst-19142	143	2	nothing	nothing	PRON
ajst-19142	143	3	suspect	suspect	ADJ
ajst-19142	143	4	behavior	behavior	NOUN
ajst-19142	143	5	group	group	NOUN
ajst-19142	143	6	is	be	AUX
ajst-19142	143	7	mainly	mainly	ADV
ajst-19142	143	8	composed	compose	VERB
ajst-19142	143	9	of	of	ADP
ajst-19142	143	10	non	non	ADJ
ajst-19142	143	11	-	-	ADJ
ajst-19142	143	12	fraudulent	fraudulent	ADJ
ajst-19142	143	13	transactions	transaction	NOUN
ajst-19142	143	14	,	,	PUNCT
ajst-19142	143	15	with	with	ADP
ajst-19142	143	16	only	only	ADV
ajst-19142	143	17	5	5	NUM
ajst-19142	143	18	fraud	fraud	NOUN
ajst-19142	143	19	cases	case	NOUN
ajst-19142	143	20	,	,	PUNCT
ajst-19142	143	21	which	which	PRON
ajst-19142	143	22	belong	belong	VERB
ajst-19142	143	23	to	to	ADP
ajst-19142	143	24	relatively	relatively	ADV
ajst-19142	143	25	minor	minor	ADJ
ajst-19142	143	26	fraud	fraud	NOUN
ajst-19142	143	27	behaviors	behavior	NOUN
ajst-19142	143	28	and	and	CCONJ
ajst-19142	143	29	are	be	AUX
ajst-19142	143	30	different	different	ADJ
ajst-19142	143	31	in	in	ADP
ajst-19142	143	32	nature	nature	NOUN
ajst-19142	143	33	from	from	ADP
ajst-19142	143	34	the	the	DET
ajst-19142	143	35	average	average	ADJ
ajst-19142	143	36	fraudulent	fraudulent	ADJ
ajst-19142	143	37	transactions	transaction	NOUN
ajst-19142	143	38	.	.	PUNCT
ajst-19142	144	1	2	2	X
ajst-19142	144	2	.	.	X
ajst-19142	144	3	these	these	DET
ajst-19142	144	4	transactions	transaction	NOUN
ajst-19142	144	5	are	be	AUX
ajst-19142	144	6	for	for	ADP
ajst-19142	144	7	lower	low	ADJ
ajst-19142	144	8	amounts	amount	NOUN
ajst-19142	144	9	(	(	PUNCT
ajst-19142	144	10	around	around	ADP
ajst-19142	144	11	$	$	SYM
ajst-19142	144	12	50	50	NUM
ajst-19142	144	13	)	)	PUNCT
ajst-19142	144	14	and	and	CCONJ
ajst-19142	144	15	usually	usually	ADV
ajst-19142	144	16	involve	involve	VERB
ajst-19142	144	17	food	food	NOUN
ajst-19142	144	18	and	and	CCONJ
ajst-19142	144	19	transportation	transportation	NOUN
ajst-19142	144	20	categories	category	NOUN
ajst-19142	144	21	.	.	PUNCT
ajst-19142	145	1	3	3	X
ajst-19142	145	2	.	.	X
ajst-19142	145	3	transactions	transaction	NOUN
ajst-19142	145	4	often	often	ADV
ajst-19142	145	5	occur	occur	VERB
ajst-19142	145	6	at	at	ADP
ajst-19142	145	7	reliable	reliable	ADJ
ajst-19142	145	8	and	and	CCONJ
ajst-19142	145	9	secure	secure	ADJ
ajst-19142	145	10	merchants	merchant	NOUN
ajst-19142	145	11	(	(	PUNCT
ajst-19142	145	12	only	only	ADV
ajst-19142	145	13	the	the	DET
ajst-19142	145	14	top	top	ADJ
ajst-19142	145	15	three	three	NUM
ajst-19142	145	16	merchants	merchant	NOUN
ajst-19142	145	17	who	who	PRON
ajst-19142	145	18	have	have	AUX
ajst-19142	145	19	never	never	ADV
ajst-19142	145	20	experienced	experience	VERB
ajst-19142	145	21	any	any	DET
ajst-19142	145	22	fraud	fraud	NOUN
ajst-19142	145	23	)	)	PUNCT
ajst-19142	145	24	.	.	PUNCT
ajst-19142	146	1	4.somewhat	4.somewhat	NUM
ajst-19142	146	2	suspect	suspect	ADJ
ajst-19142	146	3	behavior	behavior	NOUN
ajst-19142	146	4	groups	group	NOUN
ajst-19142	146	5	are	be	AUX
ajst-19142	146	6	more	more	ADV
ajst-19142	146	7	uniform	uniform	ADJ
ajst-19142	146	8	,	,	PUNCT
ajst-19142	146	9	with	with	ADP
ajst-19142	146	10	properties	property	NOUN
ajst-19142	146	11	that	that	PRON
ajst-19142	146	12	fall	fall	VERB
ajst-19142	146	13	on	on	ADP
ajst-19142	146	14	the	the	DET
ajst-19142	146	15	boundary	boundary	NOUN
ajst-19142	146	16	between	between	ADP
ajst-19142	146	17	suspicious	suspicious	ADJ
ajst-19142	146	18	and	and	CCONJ
ajst-19142	146	19	non	non	ADJ
ajst-19142	146	20	-	-	ADJ
ajst-19142	146	21	suspect	suspect	ADJ
ajst-19142	146	22	behavior	behavior	NOUN
ajst-19142	146	23	.	.	PUNCT
ajst-19142	147	1	5	5	X
ajst-19142	147	2	.	.	X
ajst-19142	147	3	the	the	DET
ajst-19142	147	4	amount	amount	NOUN
ajst-19142	147	5	of	of	ADP
ajst-19142	147	6	these	these	DET
ajst-19142	147	7	deals	deal	NOUN
ajst-19142	147	8	is	be	AUX
ajst-19142	147	9	slightly	slightly	ADV
ajst-19142	147	10	higher	high	ADJ
ajst-19142	147	11	(	(	PUNCT
ajst-19142	147	12	around	around	ADV
ajst-19142	147	13	$	$	SYM
ajst-19142	147	14	150	150	NUM
ajst-19142	147	15	)	)	PUNCT
ajst-19142	147	16	,	,	PUNCT
ajst-19142	147	17	and	and	CCONJ
ajst-19142	147	18	most	most	ADJ
ajst-19142	147	19	of	of	ADP
ajst-19142	147	20	them	they	PRON
ajst-19142	147	21	are	be	AUX
ajst-19142	147	22	in	in	ADP
ajst-19142	147	23	the	the	DET
ajst-19142	147	24	health	health	NOUN
ajst-19142	147	25	,	,	PUNCT
ajst-19142	147	26	fashion	fashion	NOUN
ajst-19142	147	27	and	and	CCONJ
ajst-19142	147	28	hospitality	hospitality	NOUN
ajst-19142	147	29	categories	category	NOUN
ajst-19142	147	30	.	.	PUNCT
ajst-19142	148	1	6	6	X
ajst-19142	148	2	.	.	X
ajst-19142	148	3	there	there	PRON
ajst-19142	148	4	are	be	VERB
ajst-19142	148	5	some	some	DET
ajst-19142	148	6	fraud	fraud	NOUN
ajst-19142	148	7	cases	case	NOUN
ajst-19142	148	8	registered	register	VERB
ajst-19142	148	9	among	among	ADP
ajst-19142	148	10	merchants	merchant	NOUN
ajst-19142	148	11	,	,	PUNCT
ajst-19142	148	12	but	but	CCONJ
ajst-19142	148	13	not	not	PART
ajst-19142	148	14	the	the	DET
ajst-19142	148	15	majority	majority	NOUN
ajst-19142	148	16	.	.	PUNCT
ajst-19142	149	1	38	38	NUM
ajst-19142	149	2	the	the	DET
ajst-19142	149	3	highly	highly	ADV
ajst-19142	149	4	suspect	suspect	ADJ
ajst-19142	149	5	behavior	behavior	NOUN
ajst-19142	149	6	group	group	NOUN
ajst-19142	149	7	was	be	AUX
ajst-19142	149	8	the	the	DET
ajst-19142	149	9	smallest	small	ADJ
ajst-19142	149	10	of	of	ADP
ajst-19142	149	11	all	all	PRON
ajst-19142	149	12	and	and	CCONJ
ajst-19142	149	13	contained	contain	VERB
ajst-19142	149	14	only	only	ADJ
ajst-19142	149	15	cases	case	NOUN
ajst-19142	149	16	of	of	ADP
ajst-19142	149	17	fraud	fraud	NOUN
ajst-19142	149	18	,	,	PUNCT
ajst-19142	149	19	which	which	PRON
ajst-19142	149	20	did	do	AUX
ajst-19142	149	21	show	show	VERB
ajst-19142	149	22	unusual	unusual	ADJ
ajst-19142	149	23	behavior	behavior	NOUN
ajst-19142	149	24	except	except	SCONJ
ajst-19142	149	25	for	for	ADP
ajst-19142	149	26	88	88	NUM
ajst-19142	149	27	observations	observation	NOUN
ajst-19142	149	28	that	that	PRON
ajst-19142	149	29	were	be	AUX
ajst-19142	149	30	flagged	flag	VERB
ajst-19142	149	31	as	as	ADP
ajst-19142	149	32	clean	clean	ADJ
ajst-19142	149	33	transactions	transaction	NOUN
ajst-19142	149	34	.	.	PUNCT
ajst-19142	150	1	7	7	X
ajst-19142	150	2	.	.	X
ajst-19142	150	3	the	the	DET
ajst-19142	150	4	value	value	NOUN
ajst-19142	150	5	of	of	ADP
ajst-19142	150	6	these	these	DET
ajst-19142	150	7	transactions	transaction	NOUN
ajst-19142	150	8	is	be	AUX
ajst-19142	150	9	very	very	ADV
ajst-19142	150	10	high	high	ADJ
ajst-19142	150	11	(	(	PUNCT
ajst-19142	150	12	$	$	SYM
ajst-19142	150	13	1,270	1,270	NUM
ajst-19142	150	14	on	on	ADP
ajst-19142	150	15	average	average	ADJ
ajst-19142	150	16	)	)	PUNCT
ajst-19142	150	17	and	and	CCONJ
ajst-19142	150	18	covers	cover	VERB
ajst-19142	150	19	the	the	DET
ajst-19142	150	20	leisure	leisure	NOUN
ajst-19142	150	21	,	,	PUNCT
ajst-19142	150	22	travel	travel	NOUN
ajst-19142	150	23	,	,	PUNCT
ajst-19142	150	24	sports	sport	NOUN
ajst-19142	150	25	and	and	CCONJ
ajst-19142	150	26	toy	toy	NOUN
ajst-19142	150	27	categories	category	NOUN
ajst-19142	150	28	.	.	PUNCT
ajst-19142	151	1	8	8	NUM
ajst-19142	151	2	.	.	X
ajst-19142	151	3	more	more	ADJ
ajst-19142	151	4	than	than	ADP
ajst-19142	151	5	half	half	NOUN
ajst-19142	151	6	of	of	ADP
ajst-19142	151	7	the	the	DET
ajst-19142	151	8	total	total	ADJ
ajst-19142	151	9	number	number	NOUN
ajst-19142	151	10	of	of	ADP
ajst-19142	151	11	cases	case	NOUN
ajst-19142	151	12	sent	send	VERB
ajst-19142	151	13	to	to	ADP
ajst-19142	151	14	merchants	merchant	NOUN
ajst-19142	151	15	were	be	AUX
ajst-19142	151	16	registered	register	VERB
ajst-19142	151	17	as	as	ADP
ajst-19142	151	18	frauds	fraud	NOUN
ajst-19142	151	19	.	.	PUNCT
ajst-19142	152	1	cluster	cluster	NOUN
ajst-19142	152	2	analysis	analysis	NOUN
ajst-19142	152	3	plays	play	VERB
ajst-19142	152	4	an	an	DET
ajst-19142	152	5	important	important	ADJ
ajst-19142	152	6	role	role	NOUN
ajst-19142	152	7	in	in	ADP
ajst-19142	152	8	fraud	fraud	NOUN
ajst-19142	152	9	detection	detection	NOUN
ajst-19142	152	10	.	.	PUNCT
ajst-19142	153	1	by	by	ADP
ajst-19142	153	2	splitting	split	VERB
ajst-19142	153	3	transaction	transaction	NOUN
ajst-19142	153	4	data	datum	NOUN
ajst-19142	153	5	into	into	ADP
ajst-19142	153	6	different	different	ADJ
ajst-19142	153	7	clusters	cluster	NOUN
ajst-19142	153	8	,	,	PUNCT
ajst-19142	153	9	the	the	DET
ajst-19142	153	10	patterns	pattern	NOUN
ajst-19142	153	11	and	and	CCONJ
ajst-19142	153	12	characteristics	characteristic	NOUN
ajst-19142	153	13	of	of	ADP
ajst-19142	153	14	fraud	fraud	NOUN
ajst-19142	153	15	can	can	AUX
ajst-19142	153	16	be	be	AUX
ajst-19142	153	17	better	well	ADV
ajst-19142	153	18	understood	understand	VERB
ajst-19142	153	19	and	and	CCONJ
ajst-19142	153	20	measures	measure	NOUN
ajst-19142	153	21	can	can	AUX
ajst-19142	153	22	be	be	AUX
ajst-19142	153	23	taken	take	VERB
ajst-19142	153	24	to	to	PART
ajst-19142	153	25	identify	identify	VERB
ajst-19142	153	26	and	and	CCONJ
ajst-19142	153	27	prevent	prevent	VERB
ajst-19142	153	28	fraud	fraud	NOUN
ajst-19142	153	29	.	.	PUNCT
ajst-19142	154	1	5	5	X
ajst-19142	154	2	.	.	X
ajst-19142	154	3	conclusion	conclusion	NOUN
ajst-19142	154	4	fraud	fraud	NOUN
ajst-19142	154	5	detection	detection	NOUN
ajst-19142	154	6	in	in	ADP
ajst-19142	154	7	the	the	DET
ajst-19142	154	8	financial	financial	ADJ
ajst-19142	154	9	field	field	NOUN
ajst-19142	154	10	is	be	AUX
ajst-19142	154	11	one	one	NUM
ajst-19142	154	12	of	of	ADP
ajst-19142	154	13	the	the	DET
ajst-19142	154	14	important	important	ADJ
ajst-19142	154	15	challenges	challenge	NOUN
ajst-19142	154	16	facing	face	VERB
ajst-19142	154	17	the	the	DET
ajst-19142	154	18	current	current	ADJ
ajst-19142	154	19	digital	digital	ADJ
ajst-19142	154	20	financial	financial	ADJ
ajst-19142	154	21	system	system	NOUN
ajst-19142	154	22	.	.	PUNCT
ajst-19142	155	1	to	to	PART
ajst-19142	155	2	address	address	VERB
ajst-19142	155	3	this	this	DET
ajst-19142	155	4	challenge	challenge	NOUN
ajst-19142	155	5	,	,	PUNCT
ajst-19142	155	6	this	this	DET
ajst-19142	155	7	paper	paper	NOUN
ajst-19142	155	8	proposes	propose	VERB
ajst-19142	155	9	a	a	DET
ajst-19142	155	10	k	k	NOUN
ajst-19142	155	11	-	-	PUNCT
ajst-19142	155	12	means	mean	VERB
ajst-19142	155	13	clustering	clustering	NOUN
ajst-19142	155	14	method	method	NOUN
ajst-19142	155	15	based	base	VERB
ajst-19142	155	16	on	on	ADP
ajst-19142	155	17	machine	machine	NOUN
ajst-19142	155	18	learning	learn	VERB
ajst-19142	155	19	to	to	PART
ajst-19142	155	20	improve	improve	VERB
ajst-19142	155	21	the	the	DET
ajst-19142	155	22	accuracy	accuracy	NOUN
ajst-19142	155	23	and	and	CCONJ
ajst-19142	155	24	efficiency	efficiency	NOUN
ajst-19142	155	25	of	of	ADP
ajst-19142	155	26	financial	financial	ADJ
ajst-19142	155	27	fraud	fraud	NOUN
ajst-19142	155	28	detection	detection	NOUN
ajst-19142	155	29	.	.	PUNCT
ajst-19142	156	1	[	[	X
ajst-19142	156	2	15]by	15]by	NUM
ajst-19142	156	3	performing	perform	VERB
ajst-19142	156	4	cluster	cluster	NOUN
ajst-19142	156	5	analysis	analysis	NOUN
ajst-19142	156	6	on	on	ADP
ajst-19142	156	7	large	large	ADJ
ajst-19142	156	8	amounts	amount	NOUN
ajst-19142	156	9	of	of	ADP
ajst-19142	156	10	financial	financial	ADJ
ajst-19142	156	11	transaction	transaction	NOUN
ajst-19142	156	12	data	datum	NOUN
ajst-19142	156	13	,	,	PUNCT
ajst-19142	156	14	we	we	PRON
ajst-19142	156	15	are	be	AUX
ajst-19142	156	16	able	able	ADJ
ajst-19142	156	17	to	to	PART
ajst-19142	156	18	spot	spot	VERB
ajst-19142	156	19	unusual	unusual	ADJ
ajst-19142	156	20	patterns	pattern	NOUN
ajst-19142	156	21	and	and	CCONJ
ajst-19142	156	22	behaviors	behavior	NOUN
ajst-19142	156	23	in	in	ADP
ajst-19142	156	24	a	a	DET
ajst-19142	156	25	timely	timely	ADJ
ajst-19142	156	26	manner	manner	NOUN
ajst-19142	156	27	,	,	PUNCT
ajst-19142	156	28	thereby	thereby	ADV
ajst-19142	156	29	identifying	identify	VERB
ajst-19142	156	30	potential	potential	ADJ
ajst-19142	156	31	fraud	fraud	NOUN
ajst-19142	156	32	.	.	PUNCT
ajst-19142	157	1	compared	compare	VERB
ajst-19142	157	2	to	to	ADP
ajst-19142	157	3	traditional	traditional	ADJ
ajst-19142	157	4	rule	rule	NOUN
ajst-19142	157	5	-	-	PUNCT
ajst-19142	157	6	based	base	VERB
ajst-19142	157	7	detection	detection	NOUN
ajst-19142	157	8	methods	method	NOUN
ajst-19142	157	9	,	,	PUNCT
ajst-19142	157	10	machine	machine	NOUN
ajst-19142	157	11	learning	learning	NOUN
ajst-19142	157	12	methods	method	NOUN
ajst-19142	157	13	are	be	AUX
ajst-19142	157	14	more	more	ADV
ajst-19142	157	15	adaptable	adaptable	ADJ
ajst-19142	157	16	to	to	ADP
ajst-19142	157	17	changing	change	VERB
ajst-19142	157	18	fraud	fraud	NOUN
ajst-19142	157	19	techniques	technique	NOUN
ajst-19142	157	20	and	and	CCONJ
ajst-19142	157	21	patterns	pattern	NOUN
ajst-19142	157	22	,	,	PUNCT
ajst-19142	157	23	while	while	SCONJ
ajst-19142	157	24	increasing	increase	VERB
ajst-19142	157	25	the	the	DET
ajst-19142	157	26	flexibility	flexibility	NOUN
ajst-19142	157	27	and	and	CCONJ
ajst-19142	157	28	accuracy	accuracy	NOUN
ajst-19142	157	29	of	of	ADP
ajst-19142	157	30	detection	detection	NOUN
ajst-19142	157	31	.	.	PUNCT
ajst-19142	158	1	the	the	DET
ajst-19142	158	2	experimental	experimental	ADJ
ajst-19142	158	3	results	result	NOUN
ajst-19142	158	4	show	show	VERB
ajst-19142	158	5	that	that	SCONJ
ajst-19142	158	6	k	k	NOUN
ajst-19142	158	7	-	-	PUNCT
ajst-19142	158	8	means	mean	VERB
ajst-19142	158	9	clustering	clustering	NOUN
ajst-19142	158	10	method	method	NOUN
ajst-19142	158	11	has	have	VERB
ajst-19142	158	12	a	a	DET
ajst-19142	158	13	good	good	ADJ
ajst-19142	158	14	application	application	NOUN
ajst-19142	158	15	prospect	prospect	NOUN
ajst-19142	158	16	in	in	ADP
ajst-19142	158	17	financial	financial	ADJ
ajst-19142	158	18	fraud	fraud	NOUN
ajst-19142	158	19	detection	detection	NOUN
ajst-19142	158	20	.	.	PUNCT
ajst-19142	159	1	by	by	ADP
ajst-19142	159	2	performing	perform	VERB
ajst-19142	159	3	cluster	cluster	NOUN
ajst-19142	159	4	analysis	analysis	NOUN
ajst-19142	159	5	on	on	ADP
ajst-19142	159	6	the	the	DET
ajst-19142	159	7	data	datum	NOUN
ajst-19142	159	8	set	set	NOUN
ajst-19142	159	9	,	,	PUNCT
ajst-19142	159	10	we	we	PRON
ajst-19142	159	11	can	can	AUX
ajst-19142	159	12	find	find	VERB
ajst-19142	159	13	the	the	DET
ajst-19142	159	14	feature	feature	NOUN
ajst-19142	159	15	differences	difference	NOUN
ajst-19142	159	16	between	between	ADP
ajst-19142	159	17	different	different	ADJ
ajst-19142	159	18	clusters	cluster	NOUN
ajst-19142	159	19	,	,	PUNCT
ajst-19142	159	20	and	and	CCONJ
ajst-19142	159	21	then	then	ADV
ajst-19142	159	22	identify	identify	VERB
ajst-19142	159	23	potential	potential	ADJ
ajst-19142	159	24	fraud	fraud	NOUN
ajst-19142	159	25	cases	case	NOUN
ajst-19142	159	26	.	.	PUNCT
ajst-19142	160	1	especially	especially	ADV
ajst-19142	160	2	in	in	ADP
ajst-19142	160	3	high	high	ADJ
ajst-19142	160	4	-	-	PUNCT
ajst-19142	160	5	risk	risk	NOUN
ajst-19142	160	6	areas	area	NOUN
ajst-19142	160	7	,	,	PUNCT
ajst-19142	160	8	k	k	X
ajst-19142	160	9	-	-	PUNCT
ajst-19142	160	10	means	means	NOUN
ajst-19142	160	11	clustering	clustering	NOUN
ajst-19142	160	12	can	can	AUX
ajst-19142	160	13	help	help	VERB
ajst-19142	160	14	financial	financial	ADJ
ajst-19142	160	15	institutions	institution	NOUN
ajst-19142	160	16	monitor	monitor	VERB
ajst-19142	160	17	and	and	CCONJ
ajst-19142	160	18	prevent	prevent	VERB
ajst-19142	160	19	fraud	fraud	NOUN
ajst-19142	160	20	more	more	ADV
ajst-19142	160	21	targeted	target	VERB
ajst-19142	160	22	,	,	PUNCT
ajst-19142	160	23	thus	thus	ADV
ajst-19142	160	24	effectively	effectively	ADV
ajst-19142	160	25	reducing	reduce	VERB
ajst-19142	160	26	the	the	DET
ajst-19142	160	27	impact	impact	NOUN
ajst-19142	160	28	of	of	ADP
ajst-19142	160	29	fraud	fraud	NOUN
ajst-19142	160	30	on	on	ADP
ajst-19142	160	31	the	the	DET
ajst-19142	160	32	financial	financial	ADJ
ajst-19142	160	33	system[16][17	system[16][17	PROPN
ajst-19142	160	34	]	]	PUNCT
ajst-19142	160	35	.	.	PUNCT
ajst-19142	161	1	in	in	ADP
ajst-19142	161	2	summary	summary	NOUN
ajst-19142	161	3	,	,	PUNCT
ajst-19142	161	4	the	the	DET
ajst-19142	161	5	k	k	NOUN
ajst-19142	161	6	-	-	PUNCT
ajst-19142	161	7	means	mean	VERB
ajst-19142	161	8	clustering	clustering	NOUN
ajst-19142	161	9	method	method	NOUN
ajst-19142	161	10	based	base	VERB
ajst-19142	161	11	on	on	ADP
ajst-19142	161	12	machine	machine	NOUN
ajst-19142	161	13	learning	learning	NOUN
ajst-19142	161	14	provides	provide	VERB
ajst-19142	161	15	an	an	DET
ajst-19142	161	16	effective	effective	ADJ
ajst-19142	161	17	solution	solution	NOUN
ajst-19142	161	18	for	for	ADP
ajst-19142	161	19	financial	financial	ADJ
ajst-19142	161	20	fraud	fraud	NOUN
ajst-19142	161	21	detection	detection	NOUN
ajst-19142	161	22	.	.	PUNCT
ajst-19142	162	1	the	the	DET
ajst-19142	162	2	application	application	NOUN
ajst-19142	162	3	of	of	ADP
ajst-19142	162	4	machine	machine	NOUN
ajst-19142	162	5	learning	learning	NOUN
ajst-19142	162	6	technology	technology	NOUN
ajst-19142	162	7	has	have	AUX
ajst-19142	162	8	made	make	VERB
ajst-19142	162	9	the	the	DET
ajst-19142	162	10	financial	financial	ADJ
ajst-19142	162	11	security	security	NOUN
ajst-19142	162	12	sector	sector	NOUN
ajst-19142	162	13	more	more	ADV
ajst-19142	162	14	dynamic	dynamic	ADJ
ajst-19142	162	15	and	and	CCONJ
ajst-19142	162	16	adaptable	adaptable	ADJ
ajst-19142	162	17	,	,	PUNCT
ajst-19142	162	18	able	able	ADJ
ajst-19142	162	19	to	to	PART
ajst-19142	162	20	respond	respond	VERB
ajst-19142	162	21	to	to	ADP
ajst-19142	162	22	changing	change	VERB
ajst-19142	162	23	fraud	fraud	NOUN
ajst-19142	162	24	practices	practice	NOUN
ajst-19142	162	25	and	and	CCONJ
ajst-19142	162	26	patterns	pattern	NOUN
ajst-19142	162	27	.	.	PUNCT
ajst-19142	163	1	through	through	ADP
ajst-19142	163	2	the	the	DET
ajst-19142	163	3	analysis	analysis	NOUN
ajst-19142	163	4	and	and	CCONJ
ajst-19142	163	5	processing	processing	NOUN
ajst-19142	163	6	of	of	ADP
ajst-19142	163	7	large	large	ADJ
ajst-19142	163	8	-	-	PUNCT
ajst-19142	163	9	scale	scale	NOUN
ajst-19142	163	10	data	datum	NOUN
ajst-19142	163	11	,	,	PUNCT
ajst-19142	163	12	machine	machine	NOUN
ajst-19142	163	13	learning	learning	NOUN
ajst-19142	163	14	algorithms	algorithm	NOUN
ajst-19142	163	15	can	can	AUX
ajst-19142	163	16	discover	discover	VERB
ajst-19142	163	17	the	the	DET
ajst-19142	163	18	underlying	underlie	VERB
ajst-19142	163	19	patterns	pattern	NOUN
ajst-19142	163	20	and	and	CCONJ
ajst-19142	163	21	laws	law	NOUN
ajst-19142	163	22	behind	behind	ADP
ajst-19142	163	23	the	the	DET
ajst-19142	163	24	massive	massive	ADJ
ajst-19142	163	25	data	datum	NOUN
ajst-19142	163	26	,	,	PUNCT
ajst-19142	163	27	thus	thus	ADV
ajst-19142	163	28	providing	provide	VERB
ajst-19142	163	29	financial	financial	ADJ
ajst-19142	163	30	institutions	institution	NOUN
ajst-19142	163	31	with	with	ADP
ajst-19142	163	32	more	more	ADV
ajst-19142	163	33	accurate	accurate	ADJ
ajst-19142	163	34	fraud	fraud	NOUN
ajst-19142	163	35	identification	identification	NOUN
ajst-19142	163	36	and	and	CCONJ
ajst-19142	163	37	prevention	prevention	NOUN
ajst-19142	163	38	capabilities.[18	capabilities.[18	PROPN
ajst-19142	163	39	-	-	PUNCT
ajst-19142	163	40	20	20	NUM
ajst-19142	163	41	]	]	PUNCT
ajst-19142	163	42	in	in	ADP
ajst-19142	163	43	addition	addition	NOUN
ajst-19142	163	44	,	,	PUNCT
ajst-19142	163	45	machine	machine	NOUN
ajst-19142	163	46	learning	learning	NOUN
ajst-19142	163	47	enables	enable	VERB
ajst-19142	163	48	automated	automate	VERB
ajst-19142	163	49	processing	processing	NOUN
ajst-19142	163	50	and	and	CCONJ
ajst-19142	163	51	decision	decision	NOUN
ajst-19142	163	52	making	making	NOUN
ajst-19142	163	53	,	,	PUNCT
ajst-19142	163	54	greatly	greatly	ADV
ajst-19142	163	55	improving	improve	VERB
ajst-19142	163	56	the	the	DET
ajst-19142	163	57	efficiency	efficiency	NOUN
ajst-19142	163	58	and	and	CCONJ
ajst-19142	163	59	responsiveness	responsiveness	NOUN
ajst-19142	163	60	of	of	ADP
ajst-19142	163	61	financial	financial	ADJ
ajst-19142	163	62	security	security	NOUN
ajst-19142	163	63	systems	system	NOUN
ajst-19142	163	64	.	.	PUNCT
ajst-19142	164	1	with	with	ADP
ajst-19142	164	2	the	the	DET
ajst-19142	164	3	continuous	continuous	ADJ
ajst-19142	164	4	development	development	NOUN
ajst-19142	164	5	and	and	CCONJ
ajst-19142	164	6	progress	progress	NOUN
ajst-19142	164	7	of	of	ADP
ajst-19142	164	8	technology	technology	NOUN
ajst-19142	164	9	,	,	PUNCT
ajst-19142	164	10	the	the	DET
ajst-19142	164	11	application	application	NOUN
ajst-19142	164	12	of	of	ADP
ajst-19142	164	13	machine	machine	NOUN
ajst-19142	164	14	learning	learning	NOUN
ajst-19142	164	15	in	in	ADP
ajst-19142	164	16	the	the	DET
ajst-19142	164	17	field	field	NOUN
ajst-19142	164	18	of	of	ADP
ajst-19142	164	19	financial	financial	ADJ
ajst-19142	164	20	security	security	NOUN
ajst-19142	164	21	will	will	AUX
ajst-19142	164	22	be	be	AUX
ajst-19142	164	23	more	more	ADV
ajst-19142	164	24	extensive	extensive	ADJ
ajst-19142	164	25	and	and	CCONJ
ajst-19142	164	26	in	in	ADP
ajst-19142	164	27	-	-	PUNCT
ajst-19142	164	28	depth	depth	NOUN
ajst-19142	164	29	.	.	PUNCT
ajst-19142	165	1	future	future	ADJ
ajst-19142	165	2	financial	financial	ADJ
ajst-19142	165	3	security	security	NOUN
ajst-19142	165	4	systems	system	NOUN
ajst-19142	165	5	will	will	AUX
ajst-19142	165	6	be	be	AUX
ajst-19142	165	7	more	more	ADV
ajst-19142	165	8	intelligent	intelligent	ADJ
ajst-19142	165	9	and	and	CCONJ
ajst-19142	165	10	adaptive	adaptive	ADJ
ajst-19142	165	11	,	,	PUNCT
ajst-19142	165	12	able	able	ADJ
ajst-19142	165	13	to	to	PART
ajst-19142	165	14	monitor	monitor	VERB
ajst-19142	165	15	and	and	CCONJ
ajst-19142	165	16	identify	identify	VERB
ajst-19142	165	17	emerging	emerge	VERB
ajst-19142	165	18	fraud	fraud	NOUN
ajst-19142	165	19	patterns	pattern	NOUN
ajst-19142	165	20	in	in	ADP
ajst-19142	165	21	real	real	ADJ
ajst-19142	165	22	time	time	NOUN
ajst-19142	165	23	,	,	PUNCT
ajst-19142	165	24	and	and	CCONJ
ajst-19142	165	25	take	take	VERB
ajst-19142	165	26	appropriate	appropriate	ADJ
ajst-19142	165	27	prevention	prevention	NOUN
ajst-19142	165	28	and	and	CCONJ
ajst-19142	165	29	response	response	NOUN
ajst-19142	165	30	measures	measure	NOUN
ajst-19142	165	31	.	.	PUNCT
ajst-19142	166	1	at	at	ADP
ajst-19142	166	2	the	the	DET
ajst-19142	166	3	same	same	ADJ
ajst-19142	166	4	time	time	NOUN
ajst-19142	166	5	,	,	PUNCT
ajst-19142	166	6	with	with	ADP
ajst-19142	166	7	the	the	DET
ajst-19142	166	8	increasing	increase	VERB
ajst-19142	166	9	amount	amount	NOUN
ajst-19142	166	10	of	of	ADP
ajst-19142	166	11	data	datum	NOUN
ajst-19142	166	12	and	and	CCONJ
ajst-19142	166	13	the	the	DET
ajst-19142	166	14	continuous	continuous	ADJ
ajst-19142	166	15	optimization	optimization	NOUN
ajst-19142	166	16	of	of	ADP
ajst-19142	166	17	algorithms	algorithm	NOUN
ajst-19142	166	18	,	,	PUNCT
ajst-19142	166	19	machine	machine	NOUN
ajst-19142	166	20	learning	learning	NOUN
ajst-19142	166	21	technology	technology	NOUN
ajst-19142	166	22	will	will	AUX
ajst-19142	166	23	be	be	AUX
ajst-19142	166	24	able	able	ADJ
ajst-19142	166	25	to	to	PART
ajst-19142	166	26	identify	identify	VERB
ajst-19142	166	27	fraud	fraud	NOUN
ajst-19142	166	28	more	more	ADV
ajst-19142	166	29	accurately	accurately	ADV
ajst-19142	166	30	and	and	CCONJ
ajst-19142	166	31	provide	provide	VERB
ajst-19142	166	32	personalized	personalized	ADJ
ajst-19142	166	33	security	security	NOUN
ajst-19142	166	34	solutions	solution	NOUN
ajst-19142	166	35	to	to	PART
ajst-19142	166	36	provide	provide	VERB
ajst-19142	166	37	strong	strong	ADJ
ajst-19142	166	38	support	support	NOUN
ajst-19142	166	39	for	for	ADP
ajst-19142	166	40	the	the	DET
ajst-19142	166	41	robust	robust	ADJ
ajst-19142	166	42	development	development	NOUN
ajst-19142	166	43	of	of	ADP
ajst-19142	166	44	the	the	DET
ajst-19142	166	45	financial	financial	ADJ
ajst-19142	166	46	system	system	NOUN
ajst-19142	166	47	.	.	PUNCT
ajst-19142	167	1	acknowledgment	acknowledgment	NOUN
ajst-19142	167	2	in	in	ADP
ajst-19142	167	3	the	the	DET
ajst-19142	167	4	process	process	NOUN
ajst-19142	167	5	of	of	ADP
ajst-19142	167	6	writing	write	VERB
ajst-19142	167	7	the	the	DET
ajst-19142	167	8	article	article	NOUN
ajst-19142	167	9	,	,	PUNCT
ajst-19142	167	10	we	we	PRON
ajst-19142	167	11	benefited	benefit	VERB
ajst-19142	167	12	from	from	ADP
ajst-19142	167	13	the	the	DET
ajst-19142	167	14	work	work	NOUN
ajst-19142	167	15	of	of	ADP
ajst-19142	167	16	zheng	zheng	PROPN
ajst-19142	167	17	,	,	PUNCT
ajst-19142	167	18	jiajian	jiajian	PROPN
ajst-19142	167	19	et	et	PROPN
ajst-19142	167	20	al	al	PROPN
ajst-19142	167	21	.	.	PROPN
ajst-19142	167	22	,	,	PUNCT
ajst-19142	167	23	the	the	DET
ajst-19142	167	24	authors	author	NOUN
ajst-19142	167	25	of	of	ADP
ajst-19142	167	26	[	[	X
ajst-19142	167	27	18	18	NUM
ajst-19142	167	28	]	]	PUNCT
ajst-19142	167	29	.	.	PUNCT
ajst-19142	168	1	they	they	PRON
ajst-19142	168	2	are	be	AUX
ajst-19142	168	3	in	in	ADP
ajst-19142	168	4	the	the	DET
ajst-19142	168	5	random	random	ADJ
ajst-19142	168	6	forest	forest	NOUN
ajst-19142	168	7	model	model	NOUN
ajst-19142	168	8	for	for	ADP
ajst-19142	168	9	analyzing	analyze	VERB
ajst-19142	168	10	and	and	CCONJ
ajst-19142	168	11	forecasting	forecast	VERB
ajst-19142	168	12	the	the	DET
ajst-19142	168	13	us	us	PROPN
ajst-19142	168	14	stock	stock	NOUN
ajst-19142	168	15	market	market	NOUN
ajst-19142	168	16	in	in	ADP
ajst-19142	168	17	the	the	DET
ajst-19142	168	18	context	context	NOUN
ajst-19142	168	19	of	of	ADP
ajst-19142	168	20	smart	smart	ADJ
ajst-19142	168	21	the	the	DET
ajst-19142	168	22	clustering	cluster	VERB
ajst-19142	168	23	algorithm	algorithm	NOUN
ajst-19142	168	24	,	,	PUNCT
ajst-19142	168	25	financial	financial	ADJ
ajst-19142	168	26	fraud	fraud	NOUN
ajst-19142	168	27	security	security	NOUN
ajst-19142	168	28	and	and	CCONJ
ajst-19142	168	29	other	other	ADJ
ajst-19142	168	30	aspects	aspect	NOUN
ajst-19142	168	31	are	be	AUX
ajst-19142	168	32	deeply	deeply	ADV
ajst-19142	168	33	studied	study	VERB
ajst-19142	168	34	in	in	ADP
ajst-19142	168	35	finance	finance	NOUN
ajst-19142	168	36	.	.	PUNCT
ajst-19142	169	1	we	we	PRON
ajst-19142	169	2	sincerely	sincerely	ADV
ajst-19142	169	3	thank	thank	VERB
ajst-19142	169	4	them	they	PRON
ajst-19142	169	5	for	for	ADP
ajst-19142	169	6	their	their	PRON
ajst-19142	169	7	academic	academic	ADJ
ajst-19142	169	8	contributions	contribution	NOUN
ajst-19142	169	9	and	and	CCONJ
ajst-19142	169	10	inspiration	inspiration	NOUN
ajst-19142	169	11	to	to	ADP
ajst-19142	169	12	our	our	PRON
ajst-19142	169	13	research	research	NOUN
ajst-19142	169	14	.	.	PUNCT
ajst-19142	170	1	in	in	ADP
ajst-19142	170	2	addition	addition	NOUN
ajst-19142	170	3	,	,	PUNCT
ajst-19142	170	4	we	we	PRON
ajst-19142	170	5	would	would	AUX
ajst-19142	170	6	like	like	VERB
ajst-19142	170	7	to	to	PART
ajst-19142	170	8	thank	thank	VERB
ajst-19142	170	9	them	they	PRON
ajst-19142	170	10	for	for	ADP
ajst-19142	170	11	their	their	PRON
ajst-19142	170	12	valuable	valuable	ADJ
ajst-19142	170	13	insights	insight	NOUN
ajst-19142	170	14	on	on	ADP
ajst-19142	170	15	the	the	DET
ajst-19142	170	16	application	application	NOUN
ajst-19142	170	17	of	of	ADP
ajst-19142	170	18	machine	machine	NOUN
ajst-19142	170	19	learning	learn	VERB
ajst-19142	170	20	to	to	ADP
ajst-19142	170	21	the	the	DET
ajst-19142	170	22	financial	financial	ADJ
ajst-19142	170	23	sector	sector	NOUN
ajst-19142	170	24	,	,	PUNCT
ajst-19142	170	25	which	which	PRON
ajst-19142	170	26	has	have	AUX
ajst-19142	170	27	provided	provide	VERB
ajst-19142	170	28	important	important	ADJ
ajst-19142	170	29	references	reference	NOUN
ajst-19142	170	30	and	and	CCONJ
ajst-19142	170	31	guidance	guidance	NOUN
ajst-19142	170	32	for	for	ADP
ajst-19142	170	33	our	our	PRON
ajst-19142	170	34	research	research	NOUN
ajst-19142	170	35	.	.	PUNCT
ajst-19142	171	1	finally	finally	ADV
ajst-19142	171	2	,	,	PUNCT
ajst-19142	171	3	we	we	PRON
ajst-19142	171	4	would	would	AUX
ajst-19142	171	5	also	also	ADV
ajst-19142	171	6	like	like	VERB
ajst-19142	171	7	to	to	PART
ajst-19142	171	8	thank	thank	VERB
ajst-19142	171	9	all	all	DET
ajst-19142	171	10	the	the	DET
ajst-19142	171	11	people	people	NOUN
ajst-19142	171	12	who	who	PRON
ajst-19142	171	13	have	have	AUX
ajst-19142	171	14	given	give	VERB
ajst-19142	171	15	support	support	NOUN
ajst-19142	171	16	and	and	CCONJ
ajst-19142	171	17	help	help	VERB
ajst-19142	171	18	in	in	ADP
ajst-19142	171	19	our	our	PRON
ajst-19142	171	20	research	research	NOUN
ajst-19142	171	21	process	process	NOUN
ajst-19142	171	22	,	,	PUNCT
ajst-19142	171	23	and	and	CCONJ
ajst-19142	171	24	their	their	PRON
ajst-19142	171	25	contributions	contribution	NOUN
ajst-19142	171	26	have	have	AUX
ajst-19142	171	27	made	make	VERB
ajst-19142	171	28	this	this	DET
ajst-19142	171	29	research	research	NOUN
ajst-19142	171	30	smoothly	smoothly	ADV
ajst-19142	171	31	carried	carry	VERB
ajst-19142	171	32	out	out	ADP
ajst-19142	171	33	.	.	PUNCT
ajst-19142	172	1	references	reference	NOUN
ajst-19142	172	2	[	[	X
ajst-19142	172	3	1	1	NUM
ajst-19142	172	4	]	]	X
ajst-19142	172	5	zhang	zhang	PROPN
ajst-19142	172	6	,	,	PUNCT
ajst-19142	172	7	yufeng	yufeng	PROPN
ajst-19142	172	8	,	,	PUNCT
ajst-19142	172	9	et	et	PROPN
ajst-19142	172	10	al	al	PROPN
ajst-19142	172	11	.	.	PUNCT
ajst-19142	173	1	"	"	PUNCT
ajst-19142	173	2	manipulator	manipulator	NOUN
ajst-19142	173	3	control	control	NOUN
ajst-19142	173	4	system	system	NOUN
ajst-19142	173	5	based	base	VERB
ajst-19142	173	6	on	on	ADP
ajst-19142	173	7	machine	machine	NOUN
ajst-19142	173	8	vision	vision	NOUN
ajst-19142	173	9	.	.	PUNCT
ajst-19142	173	10	"	"	PUNCT
ajst-19142	174	1	international	international	ADJ
ajst-19142	174	2	conference	conference	NOUN
ajst-19142	174	3	on	on	ADP
ajst-19142	174	4	applications	application	NOUN
ajst-19142	174	5	and	and	CCONJ
ajst-19142	174	6	techniques	technique	NOUN
ajst-19142	174	7	in	in	ADP
ajst-19142	174	8	cyber	cyber	ADJ
ajst-19142	174	9	intelligence	intelligence	NOUN
ajst-19142	174	10	atci	atci	NOUN
ajst-19142	174	11	2019	2019	NUM
ajst-19142	174	12	:	:	PUNCT
ajst-19142	174	13	applications	application	NOUN
ajst-19142	174	14	and	and	CCONJ
ajst-19142	174	15	techniques	technique	NOUN
ajst-19142	174	16	in	in	ADP
ajst-19142	174	17	cyber	cyber	ADJ
ajst-19142	174	18	intelligence	intelligence	NOUN
ajst-19142	174	19	7	7	NUM
ajst-19142	174	20	.	.	PUNCT
ajst-19142	174	21	springer	springer	NOUN
ajst-19142	174	22	international	international	ADJ
ajst-19142	174	23	publishing	publishing	NOUN
ajst-19142	174	24	,	,	PUNCT
ajst-19142	174	25	2020	2020	NUM
ajst-19142	174	26	.	.	PUNCT
ajst-19142	175	1	[	[	X
ajst-19142	175	2	2	2	NUM
ajst-19142	175	3	]	]	X
ajst-19142	175	4	gao	gao	PROPN
ajst-19142	175	5	,	,	PUNCT
ajst-19142	175	6	longsen	longsen	PROPN
ajst-19142	175	7	,	,	PUNCT
ajst-19142	175	8	et	et	PROPN
ajst-19142	175	9	al	al	PROPN
ajst-19142	175	10	.	.	PUNCT
ajst-19142	176	1	"	"	PUNCT
ajst-19142	176	2	autonomous	autonomous	ADJ
ajst-19142	176	3	multi	multi	ADJ
ajst-19142	176	4	-	-	ADJ
ajst-19142	176	5	robot	robot	ADJ
ajst-19142	176	6	servicing	servicing	NOUN
ajst-19142	176	7	for	for	ADP
ajst-19142	176	8	spacecraft	spacecraft	NOUN
ajst-19142	176	9	operation	operation	NOUN
ajst-19142	176	10	extension	extension	NOUN
ajst-19142	176	11	.	.	PUNCT
ajst-19142	176	12	"	"	PUNCT
ajst-19142	177	1	2023	2023	NUM
ajst-19142	177	2	ieee	ieee	NOUN
ajst-19142	177	3	/	/	SYM
ajst-19142	177	4	rsj	rsj	NOUN
ajst-19142	177	5	international	international	ADJ
ajst-19142	177	6	conference	conference	NOUN
ajst-19142	177	7	on	on	ADP
ajst-19142	177	8	intelligent	intelligent	ADJ
ajst-19142	177	9	robots	robot	NOUN
ajst-19142	177	10	and	and	CCONJ
ajst-19142	177	11	systems	system	NOUN
ajst-19142	177	12	(	(	PUNCT
ajst-19142	177	13	iros	iro	NOUN
ajst-19142	177	14	)	)	PUNCT
ajst-19142	177	15	.	.	PUNCT
ajst-19142	178	1	ieee	ieee	NOUN
ajst-19142	178	2	,	,	PUNCT
ajst-19142	178	3	2023	2023	NUM
ajst-19142	178	4	.	.	PUNCT
ajst-19142	179	1	[	[	X
ajst-19142	179	2	3	3	NUM
ajst-19142	179	3	]	]	X
ajst-19142	179	4	che	che	X
ajst-19142	179	5	,	,	PUNCT
ajst-19142	179	6	chang	chang	PROPN
ajst-19142	179	7	,	,	PUNCT
ajst-19142	179	8	et	et	PROPN
ajst-19142	179	9	al	al	PROPN
ajst-19142	179	10	.	.	PUNCT
ajst-19142	180	1	"	"	PUNCT
ajst-19142	180	2	enhancing	enhance	VERB
ajst-19142	180	3	multimodal	multimodal	ADJ
ajst-19142	180	4	understanding	understanding	NOUN
ajst-19142	180	5	with	with	ADP
ajst-19142	180	6	clip	clip	NOUN
ajst-19142	180	7	-	-	PUNCT
ajst-19142	180	8	based	base	VERB
ajst-19142	180	9	image	image	NOUN
ajst-19142	180	10	-	-	PUNCT
ajst-19142	180	11	to	to	ADP
ajst-19142	180	12	-	-	PUNCT
ajst-19142	180	13	text	text	NOUN
ajst-19142	180	14	transformation	transformation	NOUN
ajst-19142	180	15	.	.	PUNCT
ajst-19142	180	16	"	"	PUNCT
ajst-19142	180	17	proceedings	proceeding	NOUN
ajst-19142	180	18	of	of	ADP
ajst-19142	180	19	the	the	DET
ajst-19142	180	20	2023	2023	NUM
ajst-19142	180	21	6th	6th	ADJ
ajst-19142	180	22	international	international	ADJ
ajst-19142	180	23	conference	conference	NOUN
ajst-19142	180	24	on	on	ADP
ajst-19142	180	25	big	big	ADJ
ajst-19142	180	26	data	datum	NOUN
ajst-19142	180	27	technologies	technology	NOUN
ajst-19142	180	28	.	.	PUNCT
ajst-19142	181	1	2023	2023	NUM
ajst-19142	181	2	.	.	PUNCT
ajst-19142	182	1	[	[	X
ajst-19142	182	2	4	4	NUM
ajst-19142	182	3	]	]	X
ajst-19142	182	4	che	che	X
ajst-19142	182	5	,	,	PUNCT
ajst-19142	182	6	chang	chang	PROPN
ajst-19142	182	7	,	,	PUNCT
ajst-19142	182	8	et	et	PROPN
ajst-19142	182	9	al	al	PROPN
ajst-19142	182	10	.	.	PUNCT
ajst-19142	183	1	"	"	PUNCT
ajst-19142	183	2	advancing	advance	VERB
ajst-19142	183	3	cancer	cancer	NOUN
ajst-19142	183	4	document	document	NOUN
ajst-19142	183	5	classification	classification	NOUN
ajst-19142	183	6	with	with	ADP
ajst-19142	183	7	r	r	NOUN
ajst-19142	183	8	andom	andom	NOUN
ajst-19142	183	9	forest	forest	NOUN
ajst-19142	183	10	.	.	PUNCT
ajst-19142	183	11	"	"	PUNCT
ajst-19142	184	1	academic	academic	ADJ
ajst-19142	184	2	journal	journal	NOUN
ajst-19142	184	3	of	of	ADP
ajst-19142	184	4	science	science	NOUN
ajst-19142	184	5	and	and	CCONJ
ajst-19142	184	6	technology	technology	NOUN
ajst-19142	184	7	8.1	8.1	NUM
ajst-19142	184	8	(	(	PUNCT
ajst-19142	184	9	2023	2023	NUM
ajst-19142	184	10	):	):	PUNCT
ajst-19142	184	11	278	278	NUM
ajst-19142	184	12	-	-	SYM
ajst-19142	184	13	280	280	NUM
ajst-19142	184	14	.	.	PUNCT
ajst-19142	185	1	[	[	X
ajst-19142	185	2	5	5	NUM
ajst-19142	185	3	]	]	X
ajst-19142	185	4	duan	duan	PROPN
ajst-19142	185	5	,	,	PUNCT
ajst-19142	185	6	shiheng	shiheng	PROPN
ajst-19142	185	7	,	,	PUNCT
ajst-19142	185	8	et	et	PROPN
ajst-19142	185	9	al	al	PROPN
ajst-19142	185	10	.	.	PUNCT
ajst-19142	186	1	“	"	PUNCT
ajst-19142	186	2	prediction	prediction	NOUN
ajst-19142	186	3	of	of	ADP
ajst-19142	186	4	atmospheric	atmospheric	ADJ
ajst-19142	186	5	carbon	carbon	NOUN
ajst-19142	186	6	dioxide	dioxide	NOUN
ajst-19142	186	7	radiative	radiative	ADJ
ajst-19142	186	8	transfer	transfer	NOUN
ajst-19142	186	9	model	model	NOUN
ajst-19142	186	10	based	base	VERB
ajst-19142	186	11	on	on	ADP
ajst-19142	186	12	machine	machine	NOUN
ajst-19142	186	13	learning	learning	NOUN
ajst-19142	186	14	”	"	PUNCT
ajst-19142	186	15	.	.	PUNCT
ajst-19142	187	1	frontiers	frontier	NOUN
ajst-19142	187	2	in	in	ADP
ajst-19142	187	3	computing	computing	NOUN
ajst-19142	187	4	and	and	CCONJ
ajst-19142	187	5	intelligent	intelligent	ADJ
ajst-19142	187	6	systems	system	NOUN
ajst-19142	187	7	,	,	PUNCT
ajst-19142	187	8	vol	vol	NOUN
ajst-19142	187	9	.	.	PROPN
ajst-19142	187	10	6	6	NUM
ajst-19142	187	11	,	,	PUNCT
ajst-19142	187	12	no	no	INTJ
ajst-19142	187	13	.	.	NOUN
ajst-19142	187	14	3	3	NUM
ajst-19142	187	15	,	,	PUNCT
ajst-19142	187	16	jan	jan	PROPN
ajst-19142	187	17	.	.	PROPN
ajst-19142	187	18	2024	2024	NUM
ajst-19142	187	19	,	,	PUNCT
ajst-19142	187	20	pp	pp	ADV
ajst-19142	187	21	.	.	PUNCT
ajst-19142	188	1	132	132	NUM
ajst-19142	188	2	-	-	SYM
ajst-19142	188	3	6	6	NUM
ajst-19142	188	4	,	,	PUNCT
ajst-19142	188	5	https://doi.org/10.54097/obmpjw5n	https://doi.org/10.54097/obmpjw5n	X
ajst-19142	188	6	.	.	PUNCT
ajst-19142	189	1	[	[	X
ajst-19142	189	2	6	6	NUM
ajst-19142	189	3	]	]	PUNCT
ajst-19142	189	4	k.	k.	PROPN
ajst-19142	189	5	tan	tan	PROPN
ajst-19142	189	6	and	and	CCONJ
ajst-19142	189	7	w.	w.	PROPN
ajst-19142	189	8	li	li	PROPN
ajst-19142	189	9	,	,	PUNCT
ajst-19142	189	10	"	"	PUNCT
ajst-19142	189	11	imaging	imaging	NOUN
ajst-19142	189	12	and	and	CCONJ
ajst-19142	189	13	parameter	parameter	NOUN
ajst-19142	189	14	estimating	estimate	VERB
ajst-19142	189	15	for	for	ADP
ajst-19142	189	16	fast	fast	ADJ
ajst-19142	189	17	moving	move	VERB
ajst-19142	189	18	targets	target	NOUN
ajst-19142	189	19	in	in	ADP
ajst-19142	189	20	airborne	airborne	ADJ
ajst-19142	189	21	sar	sar	NOUN
ajst-19142	189	22	,	,	PUNCT
ajst-19142	189	23	"	"	PUNCT
ajst-19142	189	24	in	in	ADP
ajst-19142	189	25	ieee	ieee	NOUN
ajst-19142	189	26	transactions	transaction	NOUN
ajst-19142	189	27	on	on	ADP
ajst-19142	189	28	computational	computational	ADJ
ajst-19142	189	29	imaging	imaging	NOUN
ajst-19142	189	30	,	,	PUNCT
ajst-19142	189	31	vol	vol	NOUN
ajst-19142	189	32	.	.	PROPN
ajst-19142	190	1	3	3	NUM
ajst-19142	190	2	,	,	PUNCT
ajst-19142	190	3	no	no	INTJ
ajst-19142	190	4	.	.	NOUN
ajst-19142	190	5	1	1	NUM
ajst-19142	190	6	,	,	PUNCT
ajst-19142	190	7	pp	pp	ADJ
ajst-19142	190	8	.	.	PUNCT
ajst-19142	191	1	126	126	NUM
ajst-19142	191	2	-	-	SYM
ajst-19142	191	3	140	140	NUM
ajst-19142	191	4	,	,	PUNCT
ajst-19142	191	5	march	march	PROPN
ajst-19142	191	6	2017	2017	NUM
ajst-19142	191	7	,	,	PUNCT
ajst-19142	191	8	doi	doi	NOUN
ajst-19142	191	9	:	:	PUNCT
ajst-19142	191	10	10.1109	10.1109	NUM
ajst-19142	191	11	/	/	SYM
ajst-19142	191	12	tci.2016.2634421	tci.2016.2634421	PROPN
ajst-19142	191	13	.	.	PUNCT
ajst-19142	192	1	[	[	X
ajst-19142	192	2	7	7	X
ajst-19142	192	3	]	]	X
ajst-19142	192	4	chen	chen	PROPN
ajst-19142	192	5	,	,	PUNCT
ajst-19142	192	6	jianfeng	jianfeng	PROPN
ajst-19142	192	7	,	,	PUNCT
ajst-19142	192	8	et	et	PROPN
ajst-19142	192	9	al	al	PROPN
ajst-19142	192	10	.	.	PUNCT
ajst-19142	193	1	“	"	PUNCT
ajst-19142	193	2	implementation	implementation	NOUN
ajst-19142	193	3	of	of	ADP
ajst-19142	193	4	an	an	DET
ajst-19142	193	5	ai	ai	NOUN
ajst-19142	193	6	-	-	PUNCT
ajst-19142	193	7	based	base	VERB
ajst-19142	193	8	mrd	mrd	ADJ
ajst-19142	193	9	evaluation	evaluation	NOUN
ajst-19142	193	10	and	and	CCONJ
ajst-19142	193	11	prediction	prediction	NOUN
ajst-19142	193	12	model	model	NOUN
ajst-19142	193	13	for	for	ADP
ajst-19142	193	14	multiple	multiple	ADJ
ajst-19142	193	15	myeloma	myeloma	NOUN
ajst-19142	193	16	”	"	PUNCT
ajst-19142	193	17	.	.	PUNCT
ajst-19142	194	1	frontiers	frontier	NOUN
ajst-19142	194	2	in	in	ADP
ajst-19142	194	3	computing	computing	NOUN
ajst-19142	194	4	and	and	CCONJ
ajst-19142	194	5	intelligent	intelligent	ADJ
ajst-19142	194	6	systems	system	NOUN
ajst-19142	194	7	,	,	PUNCT
ajst-19142	194	8	vol	vol	NOUN
ajst-19142	194	9	.	.	PROPN
ajst-19142	194	10	6	6	NUM
ajst-19142	194	11	,	,	PUNCT
ajst-19142	194	12	no	no	INTJ
ajst-19142	194	13	.	.	NOUN
ajst-19142	194	14	3	3	NUM
ajst-19142	194	15	,	,	PUNCT
ajst-19142	194	16	jan	jan	PROPN
ajst-19142	194	17	.	.	PROPN
ajst-19142	194	18	2024	2024	NUM
ajst-19142	194	19	,	,	PUNCT
ajst-19142	194	20	pp	pp	ADJ
ajst-19142	194	21	.	.	PUNCT
ajst-19142	195	1	127	127	NUM
ajst-19142	195	2	-	-	SYM
ajst-19142	195	3	31	31	NUM
ajst-19142	195	4	,	,	PUNCT
ajst-19142	195	5	https://doi.org/10.54097/zj4mnbww	https://doi.org/10.54097/zj4mnbww	NOUN
ajst-19142	195	6	.	.	PUNCT
ajst-19142	196	1	[	[	X
ajst-19142	196	2	8	8	NUM
ajst-19142	196	3	]	]	X
ajst-19142	196	4	che	che	X
ajst-19142	196	5	,	,	PUNCT
ajst-19142	196	6	chang	chang	PROPN
ajst-19142	196	7	,	,	PUNCT
ajst-19142	196	8	et	et	PROPN
ajst-19142	196	9	al	al	PROPN
ajst-19142	196	10	.	.	PUNCT
ajst-19142	197	1	"	"	PUNCT
ajst-19142	197	2	deep	deep	ADJ
ajst-19142	197	3	learning	learning	NOUN
ajst-19142	197	4	for	for	ADP
ajst-19142	197	5	precise	precise	ADJ
ajst-19142	197	6	robot	robot	NOUN
ajst-19142	197	7	position	position	NOUN
ajst-19142	197	8	prediction	prediction	NOUN
ajst-19142	197	9	in	in	ADP
ajst-19142	197	10	logistics	logistic	NOUN
ajst-19142	197	11	.	.	PUNCT
ajst-19142	197	12	"	"	PUNCT
ajst-19142	198	1	journal	journal	NOUN
ajst-19142	198	2	of	of	ADP
ajst-19142	198	3	theory	theory	NOUN
ajst-19142	198	4	and	and	CCONJ
ajst-19142	198	5	practice	practice	NOUN
ajst-19142	198	6	of	of	ADP
ajst-19142	198	7	engineering	engineering	NOUN
ajst-19142	198	8	science	science	NOUN
ajst-19142	198	9	3.10	3.10	NUM
ajst-19142	198	10	(	(	PUNCT
ajst-19142	198	11	2023	2023	NUM
ajst-19142	198	12	):	):	PUNCT
ajst-19142	198	13	36	36	NUM
ajst-19142	198	14	-	-	SYM
ajst-19142	198	15	41	41	NUM
ajst-19142	198	16	.	.	PUNCT
ajst-19142	199	1	[	[	X
ajst-19142	199	2	9	9	NUM
ajst-19142	199	3	]	]	PUNCT
ajst-19142	199	4	“	"	PUNCT
ajst-19142	199	5	machine	machine	NOUN
ajst-19142	199	6	learning	learning	NOUN
ajst-19142	199	7	model	model	NOUN
ajst-19142	199	8	training	training	NOUN
ajst-19142	199	9	and	and	CCONJ
ajst-19142	199	10	practice	practice	NOUN
ajst-19142	199	11	:	:	PUNCT
ajst-19142	199	12	a	a	DET
ajst-19142	199	13	study	study	NOUN
ajst-19142	199	14	on	on	ADP
ajst-19142	199	15	constructing	construct	VERB
ajst-19142	199	16	a	a	DET
ajst-19142	199	17	novel	novel	ADJ
ajst-19142	199	18	drug	drug	NOUN
ajst-19142	199	19	detection	detection	NOUN
ajst-19142	199	20	system	system	NOUN
ajst-19142	199	21	”	"	PUNCT
ajst-19142	199	22	.	.	PUNCT
ajst-19142	200	1	international	international	ADJ
ajst-19142	200	2	journal	journal	PROPN
ajst-19142	200	3	of	of	ADP
ajst-19142	200	4	computer	computer	NOUN
ajst-19142	200	5	science	science	NOUN
ajst-19142	200	6	and	and	CCONJ
ajst-19142	200	7	information	information	NOUN
ajst-19142	200	8	technology	technology	NOUN
ajst-19142	200	9	,	,	PUNCT
ajst-19142	200	10	vol	vol	NOUN
ajst-19142	200	11	.	.	PROPN
ajst-19142	200	12	1	1	NUM
ajst-19142	200	13	,	,	PUNCT
ajst-19142	200	14	no	no	INTJ
ajst-19142	200	15	.	.	NOUN
ajst-19142	200	16	1	1	NUM
ajst-19142	200	17	,	,	PUNCT
ajst-19142	200	18	dec	dec	PROPN
ajst-19142	200	19	.	.	PROPN
ajst-19142	200	20	2023	2023	NUM
ajst-19142	200	21	,	,	PUNCT
ajst-19142	200	22	pp	pp	ADJ
ajst-19142	200	23	.	.	PUNCT
ajst-19142	201	1	139	139	NUM
ajst-19142	201	2	-	-	SYM
ajst-19142	201	3	46	46	NUM
ajst-19142	201	4	,	,	PUNCT
ajst-19142	201	5	https://doi.org/10.62051/ijcsit.v1n1.19	https://doi.org/10.62051/ijcsit.v1n1.19	NOUN
ajst-19142	201	6	.	.	PUNCT
ajst-19142	202	1	[	[	X
ajst-19142	202	2	10	10	NUM
ajst-19142	202	3	]	]	X
ajst-19142	202	4	chen	chen	PROPN
ajst-19142	202	5	,	,	PUNCT
ajst-19142	202	6	jianhang	jianhang	PROPN
ajst-19142	202	7	,	,	PUNCT
ajst-19142	202	8	et	et	PROPN
ajst-19142	202	9	al	al	PROPN
ajst-19142	202	10	.	.	PUNCT
ajst-19142	203	1	"	"	PUNCT
ajst-19142	203	2	one	one	NUM
ajst-19142	203	3	-	-	PUNCT
ajst-19142	203	4	stage	stage	NOUN
ajst-19142	203	5	object	object	NOUN
ajst-19142	203	6	referring	refer	VERB
ajst-19142	203	7	with	with	ADP
ajst-19142	203	8	gaze	gaze	NOUN
ajst-19142	203	9	estimation	estimation	NOUN
ajst-19142	203	10	.	.	PUNCT
ajst-19142	203	11	"	"	PUNCT
ajst-19142	204	1	proceedings	proceeding	NOUN
ajst-19142	204	2	of	of	ADP
ajst-19142	204	3	the	the	DET
ajst-19142	204	4	ieee	ieee	NOUN
ajst-19142	204	5	/	/	SYM
ajst-19142	204	6	cvf	cvf	NOUN
ajst-19142	204	7	conference	conference	NOUN
ajst-19142	204	8	on	on	ADP
ajst-19142	204	9	computer	computer	NOUN
ajst-19142	204	10	vision	vision	NOUN
ajst-19142	204	11	and	and	CCONJ
ajst-19142	204	12	pattern	pattern	NOUN
ajst-19142	204	13	recognition	recognition	NOUN
ajst-19142	204	14	.	.	PUNCT
ajst-19142	205	1	2022	2022	NUM
ajst-19142	205	2	.	.	PUNCT
ajst-19142	206	1	[	[	X
ajst-19142	206	2	11	11	NUM
ajst-19142	206	3	]	]	X
ajst-19142	206	4	w.	w.	PROPN
ajst-19142	206	5	sun	sun	PROPN
ajst-19142	206	6	,	,	PUNCT
ajst-19142	206	7	w.	w.	PROPN
ajst-19142	206	8	wan	wan	PROPN
ajst-19142	206	9	,	,	PUNCT
ajst-19142	206	10	l.	l.	PROPN
ajst-19142	206	11	pan	pan	PROPN
ajst-19142	206	12	,	,	PUNCT
ajst-19142	206	13	j.	j.	PROPN
ajst-19142	206	14	xu	xu	PROPN
ajst-19142	206	15	,	,	PUNCT
ajst-19142	206	16	and	and	CCONJ
ajst-19142	206	17	q.	q.	PROPN
ajst-19142	206	18	zeng	zeng	PROPN
ajst-19142	206	19	,	,	PUNCT
ajst-19142	206	20	“	"	PUNCT
ajst-19142	206	21	the	the	DET
ajst-19142	206	22	integration	integration	NOUN
ajst-19142	206	23	of	of	ADP
ajst-19142	206	24	large	large	ADJ
ajst-19142	206	25	-	-	PUNCT
ajst-19142	206	26	scale	scale	NOUN
ajst-19142	206	27	language	language	NOUN
ajst-19142	206	28	models	model	NOUN
ajst-19142	206	29	into	into	ADP
ajst-19142	206	30	intelligent	intelligent	ADJ
ajst-19142	206	31	adjudication	adjudication	NOUN
ajst-19142	206	32	:	:	PUNCT
ajst-19142	206	33	justification	justification	NOUN
ajst-19142	206	34	rules	rule	NOUN
ajst-19142	206	35	and	and	CCONJ
ajst-19142	206	36	implementation	implementation	NOUN
ajst-19142	206	37	pathways	pathway	NOUN
ajst-19142	206	38	”	"	PUNCT
ajst-19142	206	39	,	,	PUNCT
ajst-19142	206	40	journal	journal	NOUN
ajst-19142	206	41	of	of	ADP
ajst-19142	206	42	industrial	industrial	ADJ
ajst-19142	206	43	engineering	engineering	PROPN
ajst-19142	206	44	&	&	CCONJ
ajst-19142	206	45	amp	amp	PROPN
ajst-19142	206	46	;	;	PUNCT
ajst-19142	206	47	applied	apply	VERB
ajst-19142	206	48	science	science	NOUN
ajst-19142	206	49	,	,	PUNCT
ajst-19142	206	50	vol	vol	NOUN
ajst-19142	206	51	.	.	PROPN
ajst-19142	206	52	2	2	NUM
ajst-19142	206	53	,	,	PUNCT
ajst-19142	206	54	no	no	INTJ
ajst-19142	206	55	.	.	NOUN
ajst-19142	206	56	1	1	NUM
ajst-19142	206	57	,	,	PUNCT
ajst-19142	206	58	pp	pp	ADJ
ajst-19142	206	59	.	.	PUNCT
ajst-19142	207	1	13–20	13–20	NUM
ajst-19142	207	2	,	,	PUNCT
ajst-19142	207	3	feb	feb	PROPN
ajst-19142	207	4	.	.	PROPN
ajst-19142	207	5	2024	2024	NUM
ajst-19142	207	6	.	.	PUNCT
ajst-19142	208	1	[	[	X
ajst-19142	208	2	12	12	NUM
ajst-19142	208	3	]	]	X
ajst-19142	208	4	zhou	zhou	PROPN
ajst-19142	208	5	,	,	PUNCT
ajst-19142	208	6	yanlin	yanlin	PROPN
ajst-19142	208	7	,	,	PUNCT
ajst-19142	208	8	et	et	PROPN
ajst-19142	208	9	al	al	PROPN
ajst-19142	208	10	.	.	PUNCT
ajst-19142	209	1	"	"	PUNCT
ajst-19142	209	2	utilizing	utilize	VERB
ajst-19142	209	3	ai	ai	VERB
ajst-19142	209	4	-	-	PUNCT
ajst-19142	209	5	enhanced	enhance	VERB
ajst-19142	209	6	multi	multi	ADJ
ajst-19142	209	7	-	-	ADJ
ajst-19142	209	8	omics	omics	ADJ
ajst-19142	209	9	integration	integration	NOUN
ajst-19142	209	10	for	for	ADP
ajst-19142	209	11	predictive	predictive	ADJ
ajst-19142	209	12	modeling	modeling	NOUN
ajst-19142	209	13	of	of	ADP
ajst-19142	209	14	disease	disease	NOUN
ajst-19142	209	15	susceptibility	susceptibility	NOUN
ajst-19142	209	16	in	in	ADP
ajst-19142	209	17	functional	functional	ADJ
ajst-19142	209	18	phenotypes	phenotype	NOUN
ajst-19142	209	19	.	.	PUNCT
ajst-19142	209	20	"	"	PUNCT
ajst-19142	210	1	journal	journal	NOUN
ajst-19142	210	2	of	of	ADP
ajst-19142	210	3	theory	theory	NOUN
ajst-19142	210	4	and	and	CCONJ
ajst-19142	210	5	practice	practice	NOUN
ajst-19142	210	6	of	of	ADP
ajst-19142	210	7	engineering	engineer	VERB
ajst-19142	210	8	science	science	NOUN
ajst-19142	210	9	4.02	4.02	NUM
ajst-19142	210	10	(	(	PUNCT
ajst-19142	210	11	2024	2024	NUM
ajst-19142	210	12	):	):	PUNCT
ajst-19142	210	13	45	45	NUM
ajst-19142	210	14	-	-	SYM
ajst-19142	210	15	51	51	NUM
ajst-19142	210	16	.	.	PUNCT
ajst-19142	210	17	39	39	NUM
ajst-19142	211	1	[	[	SYM
ajst-19142	211	2	13	13	NUM
ajst-19142	211	3	]	]	X
ajst-19142	211	4	liang	liang	PROPN
ajst-19142	211	5	,	,	PUNCT
ajst-19142	211	6	penghao	penghao	PROPN
ajst-19142	211	7	,	,	PUNCT
ajst-19142	211	8	et	et	PROPN
ajst-19142	211	9	al	al	PROPN
ajst-19142	211	10	.	.	PUNCT
ajst-19142	212	1	"	"	PUNCT
ajst-19142	212	2	enhancing	enhance	VERB
ajst-19142	212	3	security	security	NOUN
ajst-19142	212	4	in	in	ADP
ajst-19142	212	5	devops	devop	NOUN
ajst-19142	212	6	by	by	ADP
ajst-19142	212	7	integrating	integrate	VERB
ajst-19142	212	8	artificial	artificial	ADJ
ajst-19142	212	9	intelligence	intelligence	NOUN
ajst-19142	212	10	and	and	CCONJ
ajst-19142	212	11	machine	machine	NOUN
ajst-19142	212	12	learning	learning	NOUN
ajst-19142	212	13	.	.	PUNCT
ajst-19142	212	14	"	"	PUNCT
ajst-19142	213	1	journal	journal	NOUN
ajst-19142	213	2	of	of	ADP
ajst-19142	213	3	theory	theory	NOUN
ajst-19142	213	4	and	and	CCONJ
ajst-19142	213	5	practice	practice	NOUN
ajst-19142	213	6	of	of	ADP
ajst-19142	213	7	engineering	engineer	VERB
ajst-19142	213	8	science	science	NOUN
ajst-19142	213	9	4.02	4.02	NUM
ajst-19142	213	10	(	(	PUNCT
ajst-19142	213	11	2024	2024	NUM
ajst-19142	213	12	):	):	PUNCT
ajst-19142	213	13	31	31	NUM
ajst-19142	213	14	-	-	SYM
ajst-19142	213	15	37	37	NUM
ajst-19142	213	16	.	.	PUNCT
ajst-19142	214	1	[	[	X
ajst-19142	214	2	14	14	NUM
ajst-19142	214	3	]	]	X
ajst-19142	214	4	zhang	zhang	PROPN
ajst-19142	214	5	,	,	PUNCT
ajst-19142	214	6	chenwei	chenwei	PROPN
ajst-19142	214	7	,	,	PUNCT
ajst-19142	214	8	et	et	PROPN
ajst-19142	214	9	al	al	PROPN
ajst-19142	214	10	.	.	PUNCT
ajst-19142	215	1	"	"	PUNCT
ajst-19142	215	2	segnet	segnet	NOUN
ajst-19142	215	3	network	network	NOUN
ajst-19142	215	4	architecture	architecture	NOUN
ajst-19142	215	5	for	for	ADP
ajst-19142	215	6	deep	deep	ADJ
ajst-19142	215	7	learning	learn	VERB
ajst-19142	215	8	image	image	NOUN
ajst-19142	215	9	segmentation	segmentation	NOUN
ajst-19142	215	10	and	and	CCONJ
ajst-19142	215	11	its	its	PRON
ajst-19142	215	12	integrated	integrate	VERB
ajst-19142	215	13	applications	application	NOUN
ajst-19142	215	14	and	and	CCONJ
ajst-19142	215	15	prospects	prospect	NOUN
ajst-19142	215	16	.	.	PUNCT
ajst-19142	215	17	"	"	PUNCT
ajst-19142	216	1	academic	academic	ADJ
ajst-19142	216	2	journal	journal	NOUN
ajst-19142	216	3	of	of	ADP
ajst-19142	216	4	science	science	NOUN
ajst-19142	216	5	and	and	CCONJ
ajst-19142	216	6	technology	technology	NOUN
ajst-19142	216	7	9.2	9.2	NUM
ajst-19142	216	8	(	(	PUNCT
ajst-19142	216	9	2024	2024	NUM
ajst-19142	216	10	):	):	PUNCT
ajst-19142	216	11	224	224	NUM
ajst-19142	216	12	-	-	SYM
ajst-19142	216	13	229	229	NUM
ajst-19142	216	14	.	.	PUNCT
ajst-19142	217	1	[	[	X
ajst-19142	217	2	15	15	NUM
ajst-19142	217	3	]	]	X
ajst-19142	217	4	wang	wang	PROPN
ajst-19142	217	5	,	,	PUNCT
ajst-19142	217	6	yong	yong	PROPN
ajst-19142	217	7	,	,	PUNCT
ajst-19142	217	8	et	et	PROPN
ajst-19142	217	9	al	al	PROPN
ajst-19142	217	10	.	.	PUNCT
ajst-19142	218	1	"	"	PUNCT
ajst-19142	218	2	autonomous	autonomous	ADJ
ajst-19142	218	3	driving	driving	NOUN
ajst-19142	218	4	system	system	NOUN
ajst-19142	218	5	driven	drive	VERB
ajst-19142	218	6	by	by	ADP
ajst-19142	218	7	artificial	artificial	ADJ
ajst-19142	218	8	intelligence	intelligence	NOUN
ajst-19142	218	9	perception	perception	NOUN
ajst-19142	218	10	fusion	fusion	NOUN
ajst-19142	218	11	.	.	PUNCT
ajst-19142	218	12	"	"	PUNCT
ajst-19142	219	1	academic	academic	ADJ
ajst-19142	219	2	journal	journal	NOUN
ajst-19142	219	3	of	of	ADP
ajst-19142	219	4	science	science	NOUN
ajst-19142	219	5	and	and	CCONJ
ajst-19142	219	6	technology	technology	NOUN
ajst-19142	219	7	9.2	9.2	NUM
ajst-19142	219	8	(	(	PUNCT
ajst-19142	219	9	2024	2024	NUM
ajst-19142	219	10	):	):	PUNCT
ajst-19142	219	11	193	193	NUM
ajst-19142	219	12	-	-	SYM
ajst-19142	219	13	198	198	NUM
ajst-19142	219	14	.	.	PUNCT
ajst-19142	220	1	[	[	X
ajst-19142	220	2	16	16	NUM
ajst-19142	220	3	]	]	X
ajst-19142	220	4	zhang	zhang	PROPN
ajst-19142	220	5	,	,	PUNCT
ajst-19142	220	6	quan	quan	PROPN
ajst-19142	220	7	,	,	PUNCT
ajst-19142	220	8	et	et	PROPN
ajst-19142	220	9	al	al	PROPN
ajst-19142	220	10	.	.	PUNCT
ajst-19142	220	11	"	"	PUNCT
ajst-19142	220	12	application	application	NOUN
ajst-19142	220	13	of	of	ADP
ajst-19142	220	14	the	the	DET
ajst-19142	220	15	alphafold2	alphafold2	ADJ
ajst-19142	220	16	protein	protein	NOUN
ajst-19142	220	17	prediction	prediction	NOUN
ajst-19142	220	18	algorithm	algorithm	NOUN
ajst-19142	220	19	based	base	VERB
ajst-19142	220	20	on	on	ADP
ajst-19142	220	21	artificial	artificial	ADJ
ajst-19142	220	22	intelligence	intelligence	NOUN
ajst-19142	220	23	.	.	PUNCT
ajst-19142	220	24	"	"	PUNCT
ajst-19142	221	1	journal	journal	NOUN
ajst-19142	221	2	of	of	ADP
ajst-19142	221	3	theory	theory	NOUN
ajst-19142	221	4	and	and	CCONJ
ajst-19142	221	5	practice	practice	NOUN
ajst-19142	221	6	of	of	ADP
ajst-19142	221	7	engineering	engineer	VERB
ajst-19142	221	8	science	science	NOUN
ajst-19142	221	9	4.02	4.02	NUM
ajst-19142	221	10	(	(	PUNCT
ajst-19142	221	11	2024	2024	NUM
ajst-19142	221	12	):	):	PUNCT
ajst-19142	221	13	5865	5865	NUM
ajst-19142	221	14	.	.	PUNCT
ajst-19142	222	1	[	[	X
ajst-19142	222	2	17	17	NUM
ajst-19142	222	3	]	]	SYM
ajst-19142	222	4	du	du	X
ajst-19142	222	5	,	,	PUNCT
ajst-19142	222	6	shuqian	shuqian	NOUN
ajst-19142	222	7	,	,	PUNCT
ajst-19142	222	8	et	et	PROPN
ajst-19142	222	9	al	al	PROPN
ajst-19142	222	10	.	.	PUNCT
ajst-19142	222	11	"	"	PUNCT
ajst-19142	222	12	improving	improve	VERB
ajst-19142	222	13	science	science	NOUN
ajst-19142	222	14	question	question	NOUN
ajst-19142	222	15	ranking	rank	VERB
ajst-19142	222	16	with	with	ADP
ajst-19142	222	17	model	model	NOUN
ajst-19142	222	18	and	and	CCONJ
ajst-19142	222	19	retrievalaugmented	retrievalaugmente	VERB
ajst-19142	222	20	generation	generation	NOUN
ajst-19142	222	21	.	.	PUNCT
ajst-19142	222	22	"	"	PUNCT
ajst-19142	223	1	the	the	DET
ajst-19142	223	2	6th	6th	ADJ
ajst-19142	223	3	international	international	ADJ
ajst-19142	223	4	scientific	scientific	ADJ
ajst-19142	223	5	and	and	CCONJ
ajst-19142	223	6	practical	practical	ADJ
ajst-19142	223	7	conference	conference	NOUN
ajst-19142	223	8	“	"	PUNCT
ajst-19142	223	9	old	old	ADJ
ajst-19142	223	10	and	and	CCONJ
ajst-19142	223	11	new	new	ADJ
ajst-19142	223	12	technologies	technology	NOUN
ajst-19142	223	13	of	of	ADP
ajst-19142	223	14	learning	learn	VERB
ajst-19142	223	15	development	development	NOUN
ajst-19142	223	16	in	in	ADP
ajst-19142	223	17	modern	modern	ADJ
ajst-19142	223	18	conditions”(february	conditions”(february	PROPN
ajst-19142	223	19	1316	1316	NUM
ajst-19142	223	20	,	,	PUNCT
ajst-19142	223	21	2024	2024	NUM
ajst-19142	223	22	)	)	PUNCT
ajst-19142	223	23	berlin	berlin	PROPN
ajst-19142	223	24	,	,	PUNCT
ajst-19142	223	25	germany	germany	PROPN
ajst-19142	223	26	.	.	PUNCT
ajst-19142	224	1	international	international	ADJ
ajst-19142	224	2	science	science	PROPN
ajst-19142	224	3	group	group	NOUN
ajst-19142	224	4	.	.	PUNCT
ajst-19142	225	1	2024	2024	NUM
ajst-19142	225	2	.	.	PUNCT
ajst-19142	226	1	345	345	NUM
ajst-19142	226	2	p	p	X
ajst-19142	226	3	..	..	PROPN
ajst-19142	226	4	2024	2024	NUM
ajst-19142	226	5	.	.	PUNCT
ajst-19142	227	1	[	[	X
ajst-19142	227	2	18	18	NUM
ajst-19142	227	3	]	]	X
ajst-19142	227	4	chen	chen	PROPN
ajst-19142	227	5	,	,	PUNCT
ajst-19142	227	6	j.	j.	PROPN
ajst-19142	227	7	(	(	PUNCT
ajst-19142	227	8	2022	2022	NUM
ajst-19142	227	9	)	)	PUNCT
ajst-19142	227	10	.	.	PUNCT
ajst-19142	228	1	the	the	DET
ajst-19142	228	2	reform	reform	NOUN
ajst-19142	228	3	of	of	ADP
ajst-19142	228	4	school	school	NOUN
ajst-19142	228	5	education	education	NOUN
ajst-19142	228	6	and	and	CCONJ
ajst-19142	228	7	teaching	teaching	NOUN
ajst-19142	228	8	under	under	ADP
ajst-19142	228	9	the	the	DET
ajst-19142	228	10	“	"	PUNCT
ajst-19142	228	11	double	double	ADJ
ajst-19142	228	12	reduction	reduction	NOUN
ajst-19142	228	13	”	"	PUNCT
ajst-19142	228	14	policy	policy	NOUN
ajst-19142	228	15	.	.	PUNCT
ajst-19142	229	1	scientific	scientific	ADJ
ajst-19142	229	2	and	and	CCONJ
ajst-19142	229	3	social	social	ADJ
ajst-19142	229	4	research	research	NOUN
ajst-19142	229	5	,	,	PUNCT
ajst-19142	229	6	4(2	4(2	NUM
ajst-19142	229	7	)	)	PUNCT
ajst-19142	229	8	,	,	PUNCT
ajst-19142	229	9	42	42	NUM
ajst-19142	229	10	-	-	SYM
ajst-19142	229	11	45	45	NUM
ajst-19142	229	12	.	.	PUNCT
ajst-19142	230	1	(	(	PUNCT
ajst-19142	230	2	feb	feb	PROPN
ajst-19142	230	3	2022	2022	NUM
ajst-19142	230	4	)	)	PUNCT
ajst-19142	231	1	[	[	X
ajst-19142	231	2	19	19	NUM
ajst-19142	231	3	]	]	SYM
ajst-19142	231	4	su	su	PROPN
ajst-19142	231	5	,	,	PUNCT
ajst-19142	231	6	jing	jing	PROPN
ajst-19142	231	7	,	,	PUNCT
ajst-19142	231	8	et	et	PROPN
ajst-19142	231	9	al	al	PROPN
ajst-19142	231	10	.	.	PUNCT
ajst-19142	232	1	"	"	PUNCT
ajst-19142	232	2	large	large	ADJ
ajst-19142	232	3	language	language	NOUN
ajst-19142	232	4	models	model	NOUN
ajst-19142	232	5	for	for	ADP
ajst-19142	232	6	forecasting	forecasting	NOUN
ajst-19142	232	7	and	and	CCONJ
ajst-19142	232	8	anomaly	anomaly	NOUN
ajst-19142	232	9	detection	detection	NOUN
ajst-19142	232	10	:	:	PUNCT
ajst-19142	232	11	a	a	DET
ajst-19142	232	12	systematic	systematic	ADJ
ajst-19142	232	13	literature	literature	NOUN
ajst-19142	232	14	review	review	NOUN
ajst-19142	232	15	.	.	PUNCT
ajst-19142	232	16	"	"	PUNCT
ajst-19142	233	1	arxiv	arxiv	PROPN
ajst-19142	233	2	preprint	preprint	VERB
ajst-19142	233	3	arxiv:2402.10350	arxiv:2402.10350	NUM
ajst-19142	233	4	(	(	PUNCT
ajst-19142	233	5	2024	2024	NUM
ajst-19142	233	6	)	)	PUNCT
ajst-19142	233	7	.	.	PUNCT
ajst-19142	234	1	[	[	X
ajst-19142	234	2	20	20	NUM
ajst-19142	234	3	]	]	X
ajst-19142	234	4	wang	wang	PROPN
ajst-19142	234	5	,	,	PUNCT
ajst-19142	234	6	yong	yong	PROPN
ajst-19142	234	7	,	,	PUNCT
ajst-19142	234	8	et	et	PROPN
ajst-19142	234	9	al	al	PROPN
ajst-19142	234	10	.	.	PUNCT
ajst-19142	235	1	"	"	PUNCT
ajst-19142	235	2	construction	construction	NOUN
ajst-19142	235	3	and	and	CCONJ
ajst-19142	235	4	application	application	NOUN
ajst-19142	235	5	of	of	ADP
ajst-19142	235	6	artificial	artificial	ADJ
ajst-19142	235	7	intelligence	intelligence	NOUN
ajst-19142	235	8	crowdsourcing	crowdsourcing	NOUN
ajst-19142	235	9	map	map	NOUN
ajst-19142	235	10	based	base	VERB
ajst-19142	235	11	on	on	ADP
ajst-19142	235	12	multi	multi	ADJ
ajst-19142	235	13	-	-	ADJ
ajst-19142	235	14	track	track	ADJ
ajst-19142	235	15	gps	gps	NOUN
ajst-19142	235	16	data	datum	NOUN
ajst-19142	235	17	.	.	PUNCT
ajst-19142	235	18	"	"	PUNCT
ajst-19142	236	1	arxiv	arxiv	PROPN
ajst-19142	236	2	preprint	preprint	NOUN
ajst-19142	236	3	arxiv:2402.15796	arxiv:2402.15796	NOUN
ajst-19142	236	4	(	(	PUNCT
ajst-19142	236	5	2024	2024	NUM
ajst-19142	236	6	)	)	PUNCT
ajst-19142	236	7	.	.	PUNCT
ajst-19142	237	1	[	[	X
ajst-19142	237	2	21	21	NUM
ajst-19142	237	3	]	]	X
ajst-19142	237	4	zhou	zhou	PROPN
ajst-19142	237	5	,	,	PUNCT
ajst-19142	237	6	y.	y.	PROPN
ajst-19142	237	7	,	,	PUNCT
ajst-19142	237	8	osman	osman	PROPN
ajst-19142	237	9	,	,	PUNCT
ajst-19142	237	10	a.	a.	NOUN
ajst-19142	237	11	,	,	PUNCT
ajst-19142	237	12	willms	willm	NOUN
ajst-19142	237	13	,	,	PUNCT
ajst-19142	237	14	m.	m.	NOUN
ajst-19142	237	15	,	,	PUNCT
ajst-19142	237	16	kunz	kunz	PROPN
ajst-19142	237	17	,	,	PUNCT
ajst-19142	237	18	a.	a.	PROPN
ajst-19142	237	19	,	,	PUNCT
ajst-19142	237	20	philipp	philipp	PROPN
ajst-19142	237	21	,	,	PUNCT
ajst-19142	237	22	s.	s.	PROPN
ajst-19142	237	23	,	,	PUNCT
ajst-19142	237	24	blatt	blatt	PROPN
ajst-19142	237	25	,	,	PUNCT
ajst-19142	237	26	j.	j.	PROPN
ajst-19142	237	27	,	,	PUNCT
ajst-19142	237	28	&	&	CCONJ
ajst-19142	237	29	eul	eul	PROPN
ajst-19142	237	30	,	,	PUNCT
ajst-19142	237	31	s.	s.	PROPN
ajst-19142	237	32	(	(	PUNCT
ajst-19142	237	33	2023	2023	NUM
ajst-19142	237	34	)	)	PUNCT
ajst-19142	237	35	.	.	PUNCT
ajst-19142	238	1	semantic	semantic	ADJ
ajst-19142	238	2	wireframe	wireframe	PROPN
ajst-19142	238	3	detection	detection	NOUN
ajst-19142	238	4	.	.	PUNCT
ajst-19142	239	1	[	[	X
ajst-19142	239	2	22	22	NUM
ajst-19142	239	3	]	]	PUNCT
ajst-19142	239	4	k.	k.	PROPN
ajst-19142	239	5	tan	tan	PROPN
ajst-19142	239	6	and	and	CCONJ
ajst-19142	239	7	w.	w.	PROPN
ajst-19142	239	8	li	li	PROPN
ajst-19142	239	9	,	,	PUNCT
ajst-19142	239	10	"	"	PUNCT
ajst-19142	239	11	a	a	DET
ajst-19142	239	12	novel	novel	NOUN
ajst-19142	239	13	moving	moving	NOUN
ajst-19142	239	14	parameter	parameter	NOUN
ajst-19142	239	15	estimation	estimation	NOUN
ajst-19142	239	16	approach	approach	NOUN
ajst-19142	239	17	offast	offast	ADV
ajst-19142	239	18	moving	move	VERB
ajst-19142	239	19	targets	target	NOUN
ajst-19142	239	20	based	base	VERB
ajst-19142	239	21	on	on	ADP
ajst-19142	239	22	phase	phase	NOUN
ajst-19142	239	23	extraction	extraction	NOUN
ajst-19142	239	24	,	,	PUNCT
ajst-19142	239	25	"	"	PUNCT
ajst-19142	239	26	2015	2015	NUM
ajst-19142	239	27	ieee	ieee	NOUN
ajst-19142	239	28	international	international	ADJ
ajst-19142	239	29	conference	conference	NOUN
ajst-19142	239	30	on	on	ADP
ajst-19142	239	31	image	image	NOUN
ajst-19142	239	32	processing	processing	NOUN
ajst-19142	239	33	(	(	PUNCT
ajst-19142	239	34	icip	icip	PROPN
ajst-19142	239	35	)	)	PUNCT
ajst-19142	239	36	,	,	PUNCT
ajst-19142	239	37	quebec	quebec	PROPN
ajst-19142	239	38	city	city	PROPN
ajst-19142	239	39	,	,	PUNCT
ajst-19142	239	40	qc	qc	PROPN
ajst-19142	239	41	,	,	PUNCT
ajst-19142	239	42	canada	canada	PROPN
ajst-19142	239	43	,	,	PUNCT
ajst-19142	239	44	2015	2015	NUM
ajst-19142	239	45	,	,	PUNCT
ajst-19142	239	46	pp	pp	ADJ
ajst-19142	239	47	.	.	PUNCT
ajst-19142	240	1	2075	2075	NUM
ajst-19142	240	2	-	-	SYM
ajst-19142	240	3	2079	2079	NUM
ajst-19142	240	4	,	,	PUNCT
ajst-19142	240	5	doi	doi	NOUN
ajst-19142	240	6	:	:	PUNCT
ajst-19142	240	7	10.1109	10.1109	NUM
ajst-19142	240	8	/	/	SYM
ajst-19142	240	9	icip.2015.7351166	icip.2015.7351166	PROPN
ajst-19142	240	10	.	.	PUNCT
ajst-19142	241	1	[	[	X
ajst-19142	241	2	23	23	NUM
ajst-19142	241	3	]	]	X
ajst-19142	241	4	zheng	zheng	PROPN
ajst-19142	241	5	,	,	PUNCT
ajst-19142	241	6	jiajian	jiajian	PROPN
ajst-19142	241	7	,	,	PUNCT
ajst-19142	241	8	et	et	PROPN
ajst-19142	241	9	al	al	PROPN
ajst-19142	241	10	.	.	PUNCT
ajst-19142	242	1	"	"	PUNCT
ajst-19142	242	2	the	the	DET
ajst-19142	242	3	random	random	ADJ
ajst-19142	242	4	forest	forest	NOUN
ajst-19142	242	5	model	model	NOUN
ajst-19142	242	6	for	for	ADP
ajst-19142	242	7	analyzing	analyze	VERB
ajst-19142	242	8	and	and	CCONJ
ajst-19142	242	9	forecasting	forecast	VERB
ajst-19142	242	10	the	the	DET
ajst-19142	242	11	us	us	PROPN
ajst-19142	242	12	stock	stock	NOUN
ajst-19142	242	13	market	market	NOUN
ajst-19142	242	14	in	in	ADP
ajst-19142	242	15	the	the	DET
ajst-19142	242	16	context	context	NOUN
ajst-19142	242	17	of	of	ADP
ajst-19142	242	18	smart	smart	ADJ
ajst-19142	242	19	finance	finance	NOUN
ajst-19142	242	20	.	.	PUNCT
ajst-19142	242	21	"	"	PUNCT
ajst-19142	243	1	arxiv	arxiv	PROPN
ajst-19142	243	2	preprint	preprint	VERB
ajst-19142	243	3	arxiv:2402.17194	arxiv:2402.17194	PROPN
ajst-19142	243	4	(	(	PUNCT
ajst-19142	243	5	2024	2024	NUM
ajst-19142	243	6	)	)	PUNCT
ajst-19142	243	7	.	.	PUNCT
ajst-19142	244	1	[	[	X
ajst-19142	244	2	24	24	NUM
ajst-19142	244	3	]	]	SYM
ajst-19142	244	4	yang	yang	PROPN
ajst-19142	244	5	,	,	PUNCT
ajst-19142	244	6	le	le	X
ajst-19142	244	7	,	,	PUNCT
ajst-19142	244	8	et	et	PROPN
ajst-19142	244	9	al	al	PROPN
ajst-19142	244	10	.	.	PUNCT
ajst-19142	245	1	"	"	PUNCT
ajst-19142	245	2	ai	ai	VERB
ajst-19142	245	3	-	-	PUNCT
ajst-19142	245	4	driven	drive	VERB
ajst-19142	245	5	anonymization	anonymization	NOUN
ajst-19142	245	6	:	:	PUNCT
ajst-19142	245	7	protecting	protect	VERB
ajst-19142	245	8	personal	personal	ADJ
ajst-19142	245	9	data	datum	NOUN
ajst-19142	245	10	privacy	privacy	NOUN
ajst-19142	245	11	while	while	SCONJ
ajst-19142	245	12	leveraging	leverage	VERB
ajst-19142	245	13	machine	machine	NOUN
ajst-19142	245	14	learning	learning	NOUN
ajst-19142	245	15	.	.	PUNCT
ajst-19142	245	16	"	"	PUNCT
ajst-19142	246	1	arxiv	arxiv	PROPN
ajst-19142	246	2	preprint	preprint	NOUN
ajst-19142	246	3	arxiv:2402.17191	arxiv:2402.17191	PROPN
ajst-19142	246	4	(	(	PUNCT
ajst-19142	246	5	2024	2024	NUM
ajst-19142	246	6	)	)	PUNCT
ajst-19142	246	7	.	.	PUNCT
ajst-19142	247	1	[	[	X
ajst-19142	247	2	25	25	NUM
ajst-19142	247	3	]	]	X
ajst-19142	247	4	cheng	cheng	PROPN
ajst-19142	247	5	,	,	PUNCT
ajst-19142	247	6	qishuo	qishuo	PROPN
ajst-19142	247	7	,	,	PUNCT
ajst-19142	247	8	et	et	PROPN
ajst-19142	247	9	al	al	PROPN
ajst-19142	247	10	.	.	PUNCT
ajst-19142	248	1	"	"	PUNCT
ajst-19142	248	2	optimizing	optimize	VERB
ajst-19142	248	3	portfolio	portfolio	NOUN
ajst-19142	248	4	management	management	NOUN
ajst-19142	248	5	and	and	CCONJ
ajst-19142	248	6	risk	risk	NOUN
ajst-19142	248	7	assessment	assessment	NOUN
ajst-19142	248	8	in	in	ADP
ajst-19142	248	9	digital	digital	ADJ
ajst-19142	248	10	assets	asset	NOUN
ajst-19142	248	11	using	use	VERB
ajst-19142	248	12	deep	deep	ADJ
ajst-19142	248	13	learning	learning	NOUN
ajst-19142	248	14	for	for	ADP
ajst-19142	248	15	predictive	predictive	ADJ
ajst-19142	248	16	analysis	analysis	NOUN
ajst-19142	248	17	.	.	PUNCT
ajst-19142	248	18	"	"	PUNCT
ajst-19142	249	1	arxiv	arxiv	PROPN
ajst-19142	249	2	preprint	preprint	VERB
ajst-19142	249	3	arxiv:2402.15994	arxiv:2402.15994	NOUN
ajst-19142	249	4	(	(	PUNCT
ajst-19142	249	5	2024	2024	NUM
ajst-19142	249	6	)	)	PUNCT
ajst-19142	249	7	.	.	PUNCT