id	sid	tid	token	lemma	pos
fcis-15826	1	1	frontiers	frontier	NOUN
fcis-15826	1	2	in	in	ADP
fcis-15826	1	3	computing	computing	NOUN
fcis-15826	1	4	and	and	CCONJ
fcis-15826	1	5	intelligent	intelligent	ADJ
fcis-15826	1	6	systems	system	NOUN
fcis-15826	1	7	issn	issn	VERB
fcis-15826	1	8	:	:	PUNCT
fcis-15826	1	9	2832	2832	NUM
fcis-15826	1	10	-	-	SYM
fcis-15826	1	11	6024	6024	NUM
fcis-15826	1	12	|	|	NOUN
fcis-15826	1	13	vol	vol	NOUN
fcis-15826	1	14	.	.	PROPN
fcis-15826	2	1	6	6	NUM
fcis-15826	2	2	,	,	PUNCT
fcis-15826	2	3	no	no	INTJ
fcis-15826	2	4	.	.	NOUN
fcis-15826	2	5	3	3	NUM
fcis-15826	2	6	,	,	PUNCT
fcis-15826	2	7	2023	2023	NUM
fcis-15826	2	8	119	119	NUM
fcis-15826	2	9	the	the	DET
fcis-15826	2	10	credit	credit	NOUN
fcis-15826	2	11	card	card	NOUN
fcis-15826	2	12	anti‐fraud	anti‐fraud	NOUN
fcis-15826	2	13	detection	detection	NOUN
fcis-15826	2	14	model	model	NOUN
fcis-15826	2	15	in	in	ADP
fcis-15826	2	16	the	the	DET
fcis-15826	2	17	context	context	NOUN
fcis-15826	2	18	of	of	ADP
fcis-15826	2	19	dynamic	dynamic	ADJ
fcis-15826	2	20	integration	integration	NOUN
fcis-15826	2	21	selection	selection	NOUN
fcis-15826	2	22	algorithm	algorithm	NOUN
fcis-15826	2	23	jiajian	jiajian	PROPN
fcis-15826	2	24	zheng	zheng	PROPN
fcis-15826	2	25	1	1	NUM
fcis-15826	2	26	,	,	PUNCT
fcis-15826	2	27	*	*	PUNCT
fcis-15826	2	28	,	,	PUNCT
fcis-15826	2	29	le	le	PROPN
fcis-15826	2	30	yang	yang	PROPN
fcis-15826	2	31	2	2	NUM
fcis-15826	2	32	,	,	PUNCT
fcis-15826	2	33	duan	duan	PROPN
fcis-15826	2	34	xin	xin	PROPN
fcis-15826	2	35	3	3	NUM
fcis-15826	2	36	,	,	PUNCT
fcis-15826	2	37	miao	miao	PROPN
fcis-15826	2	38	tian	tian	ADJ
fcis-15826	2	39	4	4	NUM
fcis-15826	2	40	1	1	NUM
fcis-15826	2	41	bachelor	bachelor	NOUN
fcis-15826	2	42	of	of	ADP
fcis-15826	2	43	engineering	engineering	NOUN
fcis-15826	2	44	,	,	PUNCT
fcis-15826	2	45	guangdong	guangdong	PROPN
fcis-15826	2	46	university	university	PROPN
fcis-15826	2	47	of	of	ADP
fcis-15826	2	48	technology	technology	PROPN
fcis-15826	2	49	,	,	PUNCT
fcis-15826	2	50	shenzhen	shenzhen	PROPN
fcis-15826	2	51	,	,	PUNCT
fcis-15826	2	52	china	china	PROPN
fcis-15826	2	53	2	2	NUM
fcis-15826	2	54	computer	computer	NOUN
fcis-15826	2	55	information	information	NOUN
fcis-15826	2	56	science	science	NOUN
fcis-15826	2	57	,	,	PUNCT
fcis-15826	2	58	sam	sam	PROPN
fcis-15826	2	59	houston	houston	PROPN
fcis-15826	2	60	state	state	PROPN
fcis-15826	2	61	university	university	PROPN
fcis-15826	2	62	,	,	PUNCT
fcis-15826	2	63	huntsville	huntsville	PROPN
fcis-15826	2	64	,	,	PUNCT
fcis-15826	2	65	tx	tx	PROPN
fcis-15826	2	66	,	,	PUNCT
fcis-15826	2	67	usa	usa	PROPN
fcis-15826	2	68	3	3	NUM
fcis-15826	2	69	accounting	accounting	NOUN
fcis-15826	2	70	,	,	PUNCT
fcis-15826	2	71	sun	sun	PROPN
fcis-15826	2	72	yat	yat	PROPN
fcis-15826	2	73	-	-	PUNCT
fcis-15826	2	74	sen	sen	PROPN
fcis-15826	2	75	university	university	PROPN
fcis-15826	2	76	,	,	PUNCT
fcis-15826	2	77	hong	hong	PROPN
fcis-15826	2	78	kong	kong	PROPN
fcis-15826	2	79	,	,	PUNCT
fcis-15826	2	80	china	china	PROPN
fcis-15826	2	81	4	4	NUM
fcis-15826	2	82	computer	computer	NOUN
fcis-15826	2	83	science	science	NOUN
fcis-15826	2	84	,	,	PUNCT
fcis-15826	2	85	san	san	PROPN
fcis-15826	2	86	fransisco	fransisco	PROPN
fcis-15826	2	87	bay	bay	PROPN
fcis-15826	2	88	university	university	PROPN
fcis-15826	2	89	,	,	PUNCT
fcis-15826	2	90	fremont	fremont	PROPN
fcis-15826	2	91	ca	ca	PROPN
fcis-15826	2	92	,	,	PUNCT
fcis-15826	2	93	usa	usa	PROPN
fcis-15826	2	94	*	*	PUNCT
fcis-15826	2	95	corresponding	correspond	VERB
fcis-15826	2	96	author	author	NOUN
fcis-15826	2	97	:	:	PUNCT
fcis-15826	2	98	jiajian	jiajian	PROPN
fcis-15826	2	99	zheng	zheng	PROPN
fcis-15826	2	100	(	(	PUNCT
fcis-15826	2	101	email	email	NOUN
fcis-15826	2	102	:	:	PUNCT
fcis-15826	2	103	im.jiajianzheng@gmail.com	im.jiajianzheng@gmail.com	PROPN
fcis-15826	2	104	)	)	PUNCT
fcis-15826	2	105	abstract	abstract	NOUN
fcis-15826	2	106	:	:	PUNCT
fcis-15826	2	107	because	because	SCONJ
fcis-15826	2	108	of	of	ADP
fcis-15826	2	109	its	its	PRON
fcis-15826	2	110	close	close	ADJ
fcis-15826	2	111	relationship	relationship	NOUN
fcis-15826	2	112	with	with	ADP
fcis-15826	2	113	information	information	NOUN
fcis-15826	2	114	technology	technology	NOUN
fcis-15826	2	115	,	,	PUNCT
fcis-15826	2	116	every	every	DET
fcis-15826	2	117	change	change	NOUN
fcis-15826	2	118	in	in	ADP
fcis-15826	2	119	the	the	DET
fcis-15826	2	120	field	field	NOUN
fcis-15826	2	121	of	of	ADP
fcis-15826	2	122	information	information	NOUN
fcis-15826	2	123	technology	technology	NOUN
fcis-15826	2	124	will	will	AUX
fcis-15826	2	125	have	have	VERB
fcis-15826	2	126	an	an	DET
fcis-15826	2	127	important	important	ADJ
fcis-15826	2	128	impact	impact	NOUN
fcis-15826	2	129	on	on	ADP
fcis-15826	2	130	the	the	DET
fcis-15826	2	131	means	mean	NOUN
fcis-15826	2	132	,	,	PUNCT
fcis-15826	2	133	time	time	NOUN
fcis-15826	2	134	and	and	CCONJ
fcis-15826	2	135	space	space	NOUN
fcis-15826	2	136	distribution	distribution	NOUN
fcis-15826	2	137	of	of	ADP
fcis-15826	2	138	the	the	DET
fcis-15826	2	139	final	final	ADJ
fcis-15826	2	140	fraud	fraud	NOUN
fcis-15826	2	141	of	of	ADP
fcis-15826	2	142	the	the	DET
fcis-15826	2	143	credit	credit	NOUN
fcis-15826	2	144	card	card	NOUN
fcis-15826	2	145	network	network	NOUN
fcis-15826	2	146	.	.	PUNCT
fcis-15826	3	1	the	the	DET
fcis-15826	3	2	rapid	rapid	ADJ
fcis-15826	3	3	development	development	NOUN
fcis-15826	3	4	and	and	CCONJ
fcis-15826	3	5	popularization	popularization	NOUN
fcis-15826	3	6	of	of	ADP
fcis-15826	3	7	artificial	artificial	ADJ
fcis-15826	3	8	intelligence	intelligence	NOUN
fcis-15826	3	9	(	(	PUNCT
fcis-15826	3	10	ai	ai	NOUN
fcis-15826	3	11	)	)	PUNCT
fcis-15826	3	12	software	software	NOUN
fcis-15826	3	13	based	base	VERB
fcis-15826	3	14	on	on	ADP
fcis-15826	3	15	deepfake	deepfake	NOUN
fcis-15826	3	16	technology	technology	NOUN
fcis-15826	3	17	has	have	AUX
fcis-15826	3	18	greatly	greatly	ADV
fcis-15826	3	19	promoted	promote	VERB
fcis-15826	3	20	the	the	DET
fcis-15826	3	21	intelligent	intelligent	ADJ
fcis-15826	3	22	transformation	transformation	NOUN
fcis-15826	3	23	of	of	ADP
fcis-15826	3	24	credit	credit	NOUN
fcis-15826	3	25	card	card	NOUN
fcis-15826	3	26	network	network	NOUN
fcis-15826	3	27	fraud	fraud	NOUN
fcis-15826	3	28	.	.	PUNCT
fcis-15826	4	1	through	through	ADP
fcis-15826	4	2	the	the	DET
fcis-15826	4	3	use	use	NOUN
fcis-15826	4	4	of	of	ADP
fcis-15826	4	5	advanced	advanced	ADJ
fcis-15826	4	6	hardware	hardware	NOUN
fcis-15826	4	7	and	and	CCONJ
fcis-15826	4	8	software	software	NOUN
fcis-15826	4	9	equipment	equipment	NOUN
fcis-15826	4	10	,	,	PUNCT
fcis-15826	4	11	criminals	criminal	NOUN
fcis-15826	4	12	have	have	AUX
fcis-15826	4	13	iterated	iterate	VERB
fcis-15826	4	14	on	on	ADP
fcis-15826	4	15	their	their	PRON
fcis-15826	4	16	own	own	ADJ
fcis-15826	4	17	fraud	fraud	NOUN
fcis-15826	4	18	tools	tool	NOUN
fcis-15826	4	19	,	,	PUNCT
fcis-15826	4	20	from	from	ADP
fcis-15826	4	21	the	the	DET
fcis-15826	4	22	use	use	NOUN
fcis-15826	4	23	of	of	ADP
fcis-15826	4	24	traditional	traditional	ADJ
fcis-15826	4	25	phone	phone	NOUN
fcis-15826	4	26	calls	call	NOUN
fcis-15826	4	27	and	and	CCONJ
fcis-15826	4	28	text	text	NOUN
fcis-15826	4	29	messages	message	NOUN
fcis-15826	4	30	to	to	ADP
fcis-15826	4	31	the	the	DET
fcis-15826	4	32	use	use	NOUN
fcis-15826	4	33	of	of	ADP
fcis-15826	4	34	the	the	DET
fcis-15826	4	35	latest	late	ADJ
fcis-15826	4	36	ai	ai	ADJ
fcis-15826	4	37	software	software	NOUN
fcis-15826	4	38	.	.	PUNCT
fcis-15826	5	1	therefore	therefore	ADV
fcis-15826	5	2	,	,	PUNCT
fcis-15826	5	3	for	for	ADP
fcis-15826	5	4	the	the	DET
fcis-15826	5	5	problem	problem	NOUN
fcis-15826	5	6	of	of	ADP
fcis-15826	5	7	credit	credit	NOUN
fcis-15826	5	8	card	card	NOUN
fcis-15826	5	9	fraud	fraud	NOUN
fcis-15826	5	10	detection	detection	NOUN
fcis-15826	5	11	with	with	ADP
fcis-15826	5	12	missing	miss	VERB
fcis-15826	5	13	data	datum	NOUN
fcis-15826	5	14	set	set	VERB
fcis-15826	5	15	labels	label	NOUN
fcis-15826	5	16	and	and	CCONJ
fcis-15826	5	17	highly	highly	ADV
fcis-15826	5	18	unbalanced	unbalanced	ADJ
fcis-15826	5	19	category	category	NOUN
fcis-15826	5	20	distribution	distribution	NOUN
fcis-15826	5	21	,	,	PUNCT
fcis-15826	5	22	a	a	DET
fcis-15826	5	23	credit	credit	NOUN
fcis-15826	5	24	card	card	NOUN
fcis-15826	5	25	approval	approval	NOUN
fcis-15826	5	26	anomaly	anomaly	NOUN
fcis-15826	5	27	detection	detection	NOUN
fcis-15826	5	28	model	model	NOUN
fcis-15826	5	29	des	des	PROPN
fcis-15826	5	30	-	-	PROPN
fcis-15826	5	31	hbos	hbos	PROPN
fcis-15826	5	32	(	(	PUNCT
fcis-15826	5	33	dynamic	dynamic	ADJ
fcis-15826	5	34	ensemble	ensemble	ADJ
fcis-15826	5	35	selection	selection	NOUN
fcis-15826	5	36	based	base	VERB
fcis-15826	5	37	on	on	ADP
fcis-15826	5	38	histogram	histogram	NOUN
fcis-15826	5	39	-	-	PUNCT
fcis-15826	5	40	based	base	VERB
fcis-15826	5	41	outlier	outlier	NOUN
fcis-15826	5	42	score	score	NOUN
fcis-15826	5	43	)	)	PUNCT
fcis-15826	5	44	is	be	AUX
fcis-15826	5	45	proposed	propose	VERB
fcis-15826	5	46	.	.	PUNCT
fcis-15826	6	1	firstly	firstly	ADV
fcis-15826	6	2	,	,	PUNCT
fcis-15826	6	3	the	the	DET
fcis-15826	6	4	unsupervised	unsupervised	ADJ
fcis-15826	6	5	anomaly	anomaly	NOUN
fcis-15826	6	6	detection	detection	NOUN
fcis-15826	6	7	algorithm	algorithm	NOUN
fcis-15826	6	8	is	be	AUX
fcis-15826	6	9	used	use	VERB
fcis-15826	6	10	to	to	PART
fcis-15826	6	11	construct	construct	VERB
fcis-15826	6	12	the	the	DET
fcis-15826	6	13	false	false	ADJ
fcis-15826	6	14	label	label	NOUN
fcis-15826	6	15	of	of	ADP
fcis-15826	6	16	the	the	DET
fcis-15826	6	17	training	training	NOUN
fcis-15826	6	18	set	set	NOUN
fcis-15826	6	19	customer	customer	NOUN
fcis-15826	6	20	.	.	PUNCT
fcis-15826	7	1	then	then	ADV
fcis-15826	7	2	,	,	PUNCT
fcis-15826	7	3	the	the	DET
fcis-15826	7	4	customer	customer	NOUN
fcis-15826	7	5	capability	capability	NOUN
fcis-15826	7	6	area	area	NOUN
fcis-15826	7	7	to	to	PART
fcis-15826	7	8	be	be	AUX
fcis-15826	7	9	measured	measure	VERB
fcis-15826	7	10	is	be	AUX
fcis-15826	7	11	determined	determine	VERB
fcis-15826	7	12	,	,	PUNCT
fcis-15826	7	13	and	and	CCONJ
fcis-15826	7	14	the	the	DET
fcis-15826	7	15	classifier	classifier	NOUN
fcis-15826	7	16	performance	performance	NOUN
fcis-15826	7	17	is	be	AUX
fcis-15826	7	18	evaluated	evaluate	VERB
fcis-15826	7	19	according	accord	VERB
fcis-15826	7	20	to	to	ADP
fcis-15826	7	21	pearson	pearson	PROPN
fcis-15826	7	22	correlation	correlation	NOUN
fcis-15826	7	23	coefficient	coefficient	NOUN
fcis-15826	7	24	.	.	PUNCT
fcis-15826	8	1	finally	finally	ADV
fcis-15826	8	2	,	,	PUNCT
fcis-15826	8	3	a	a	DET
fcis-15826	8	4	set	set	NOUN
fcis-15826	8	5	of	of	ADP
fcis-15826	8	6	optimal	optimal	ADJ
fcis-15826	8	7	classifiers	classifier	NOUN
fcis-15826	8	8	is	be	AUX
fcis-15826	8	9	selected	select	VERB
fcis-15826	8	10	to	to	PART
fcis-15826	8	11	integrate	integrate	VERB
fcis-15826	8	12	the	the	DET
fcis-15826	8	13	test	test	NOUN
fcis-15826	8	14	customers	customer	NOUN
fcis-15826	8	15	.	.	PUNCT
fcis-15826	9	1	experiments	experiment	NOUN
fcis-15826	9	2	on	on	ADP
fcis-15826	9	3	real	real	ADJ
fcis-15826	9	4	credit	credit	NOUN
fcis-15826	9	5	card	card	NOUN
fcis-15826	9	6	customer	customer	NOUN
fcis-15826	9	7	data	data	NOUN
fcis-15826	9	8	sets	set	NOUN
fcis-15826	9	9	show	show	VERB
fcis-15826	9	10	that	that	SCONJ
fcis-15826	9	11	des	des	PROPN
fcis-15826	9	12	-	-	PROPN
fcis-15826	9	13	hbos	hbos	PROPN
fcis-15826	9	14	has	have	VERB
fcis-15826	9	15	a	a	DET
fcis-15826	9	16	higher	high	ADJ
fcis-15826	9	17	recall	recall	NOUN
fcis-15826	9	18	and	and	CCONJ
fcis-15826	9	19	can	can	AUX
fcis-15826	9	20	identify	identify	VERB
fcis-15826	9	21	more	more	ADV
fcis-15826	9	22	fraudulent	fraudulent	ADJ
fcis-15826	9	23	customers	customer	NOUN
fcis-15826	9	24	than	than	ADP
fcis-15826	9	25	other	other	ADJ
fcis-15826	9	26	6	6	NUM
fcis-15826	9	27	classical	classical	ADJ
fcis-15826	9	28	anomaly	anomaly	NOUN
fcis-15826	9	29	detection	detection	NOUN
fcis-15826	9	30	models	model	NOUN
fcis-15826	9	31	.	.	PUNCT
fcis-15826	10	1	comparative	comparative	ADJ
fcis-15826	10	2	experiments	experiment	NOUN
fcis-15826	10	3	were	be	AUX
fcis-15826	10	4	carried	carry	VERB
fcis-15826	10	5	out	out	ADP
fcis-15826	10	6	on	on	ADP
fcis-15826	10	7	4	4	NUM
fcis-15826	10	8	unbalanced	unbalanced	ADJ
fcis-15826	10	9	data	data	NOUN
fcis-15826	10	10	sets	set	NOUN
fcis-15826	10	11	,	,	PUNCT
fcis-15826	10	12	and	and	CCONJ
fcis-15826	10	13	the	the	DET
fcis-15826	10	14	experimental	experimental	ADJ
fcis-15826	10	15	results	result	NOUN
fcis-15826	10	16	showed	show	VERB
fcis-15826	10	17	that	that	SCONJ
fcis-15826	10	18	des	des	PROPN
fcis-15826	10	19	-	-	ADJ
fcis-15826	10	20	hbos	hbo	NOUN
fcis-15826	10	21	had	have	VERB
fcis-15826	10	22	stronger	strong	ADJ
fcis-15826	10	23	anomaly	anomaly	NOUN
fcis-15826	10	24	detection	detection	NOUN
fcis-15826	10	25	ability	ability	NOUN
fcis-15826	10	26	than	than	ADP
fcis-15826	10	27	hbos	hbo	NOUN
fcis-15826	10	28	.	.	PUNCT
fcis-15826	11	1	keywords	keyword	NOUN
fcis-15826	11	2	:	:	PUNCT
fcis-15826	11	3	selection	selection	NOUN
fcis-15826	11	4	algorithm	algorithm	NOUN
fcis-15826	11	5	;	;	PUNCT
fcis-15826	11	6	artificial	artificial	ADJ
fcis-15826	11	7	intelligence	intelligence	NOUN
fcis-15826	11	8	;	;	PUNCT
fcis-15826	11	9	anti	anti	ADJ
fcis-15826	11	10	-	-	NOUN
fcis-15826	11	11	fraud	fraud	NOUN
fcis-15826	11	12	;	;	PUNCT
fcis-15826	11	13	credit	credit	NOUN
fcis-15826	11	14	card	card	NOUN
fcis-15826	11	15	anomaly	anomaly	NOUN
fcis-15826	11	16	.	.	PUNCT
fcis-15826	12	1	1	1	X
fcis-15826	12	2	.	.	X
fcis-15826	12	3	introduction	introduction	NOUN
fcis-15826	12	4	with	with	ADP
fcis-15826	12	5	the	the	DET
fcis-15826	12	6	rapid	rapid	ADJ
fcis-15826	12	7	development	development	NOUN
fcis-15826	12	8	of	of	ADP
fcis-15826	12	9	china	china	PROPN
fcis-15826	12	10	's	's	PART
fcis-15826	12	11	economy	economy	NOUN
fcis-15826	12	12	,	,	PUNCT
fcis-15826	12	13	the	the	DET
fcis-15826	12	14	size	size	NOUN
fcis-15826	12	15	of	of	ADP
fcis-15826	12	16	the	the	DET
fcis-15826	12	17	credit	credit	NOUN
fcis-15826	12	18	card	card	NOUN
fcis-15826	12	19	market	market	NOUN
fcis-15826	12	20	has	have	AUX
fcis-15826	12	21	also	also	ADV
fcis-15826	12	22	grown	grow	VERB
fcis-15826	12	23	rapidly	rapidly	ADV
fcis-15826	12	24	.	.	PUNCT
fcis-15826	13	1	by	by	ADP
fcis-15826	13	2	the	the	DET
fcis-15826	13	3	end	end	NOUN
fcis-15826	13	4	of	of	ADP
fcis-15826	13	5	2021	2021	NUM
fcis-15826	13	6	,	,	PUNCT
fcis-15826	13	7	the	the	DET
fcis-15826	13	8	number	number	NOUN
fcis-15826	13	9	of	of	ADP
fcis-15826	13	10	credit	credit	NOUN
fcis-15826	13	11	cards	card	NOUN
fcis-15826	13	12	issued	issue	VERB
fcis-15826	13	13	in	in	ADP
fcis-15826	13	14	china	china	PROPN
fcis-15826	13	15	has	have	AUX
fcis-15826	13	16	reached	reach	VERB
fcis-15826	13	17	800	800	NUM
fcis-15826	13	18	million	million	NUM
fcis-15826	13	19	.	.	PUNCT
fcis-15826	14	1	as	as	ADP
fcis-15826	14	2	the	the	DET
fcis-15826	14	3	number	number	NOUN
fcis-15826	14	4	of	of	ADP
fcis-15826	14	5	transactions	transaction	NOUN
fcis-15826	14	6	increases	increase	NOUN
fcis-15826	14	7	,	,	PUNCT
fcis-15826	14	8	the	the	DET
fcis-15826	14	9	use	use	NOUN
fcis-15826	14	10	of	of	ADP
fcis-15826	14	11	credit	credit	NOUN
fcis-15826	14	12	cards	card	NOUN
fcis-15826	14	13	for	for	ADP
fcis-15826	14	14	fraud	fraud	NOUN
fcis-15826	14	15	is	be	AUX
fcis-15826	14	16	on	on	ADP
fcis-15826	14	17	the	the	DET
fcis-15826	14	18	rise	rise	NOUN
fcis-15826	14	19	.	.	PUNCT
fcis-15826	15	1	although	although	SCONJ
fcis-15826	15	2	the	the	DET
fcis-15826	15	3	proportion	proportion	NOUN
fcis-15826	15	4	of	of	ADP
fcis-15826	15	5	fraud	fraud	NOUN
fcis-15826	15	6	in	in	ADP
fcis-15826	15	7	the	the	DET
fcis-15826	15	8	whole	whole	ADJ
fcis-15826	15	9	credit	credit	NOUN
fcis-15826	15	10	card	card	NOUN
fcis-15826	15	11	transaction	transaction	NOUN
fcis-15826	15	12	is	be	AUX
fcis-15826	15	13	very	very	ADV
fcis-15826	15	14	low	low	ADJ
fcis-15826	15	15	,	,	PUNCT
fcis-15826	15	16	once	once	SCONJ
fcis-15826	15	17	it	it	PRON
fcis-15826	15	18	occurs	occur	VERB
fcis-15826	15	19	,	,	PUNCT
fcis-15826	15	20	it	it	PRON
fcis-15826	15	21	will	will	AUX
fcis-15826	15	22	cause	cause	VERB
fcis-15826	15	23	huge	huge	ADJ
fcis-15826	15	24	economic	economic	ADJ
fcis-15826	15	25	losses	loss	NOUN
fcis-15826	15	26	to	to	ADP
fcis-15826	15	27	commercial	commercial	ADJ
fcis-15826	15	28	banks	bank	NOUN
fcis-15826	15	29	.	.	PUNCT
fcis-15826	16	1	according	accord	VERB
fcis-15826	16	2	to	to	ADP
fcis-15826	16	3	the	the	DET
fcis-15826	16	4	aggregate	aggregate	ADJ
fcis-15826	16	5	index	index	NOUN
fcis-15826	16	6	for	for	ADP
fcis-15826	16	7	the	the	DET
fcis-15826	16	8	payment	payment	NOUN
fcis-15826	16	9	and	and	CCONJ
fcis-15826	16	10	clearing	clear	VERB
fcis-15826	16	11	industry	industry	NOUN
fcis-15826	16	12	in	in	ADP
fcis-15826	16	13	the	the	DET
fcis-15826	16	14	second	second	ADJ
fcis-15826	16	15	quarter	quarter	NOUN
fcis-15826	16	16	of	of	ADP
fcis-15826	16	17	2023	2023	NUM
fcis-15826	16	18	released	release	VERB
fcis-15826	16	19	by	by	ADP
fcis-15826	16	20	the	the	DET
fcis-15826	16	21	payment	payment	NOUN
fcis-15826	16	22	and	and	CCONJ
fcis-15826	16	23	clearing	clearing	NOUN
fcis-15826	16	24	association	association	NOUN
fcis-15826	16	25	of	of	ADP
fcis-15826	16	26	china	china	PROPN
fcis-15826	16	27	,	,	PUNCT
fcis-15826	16	28	the	the	DET
fcis-15826	16	29	total	total	ADJ
fcis-15826	16	30	amount	amount	NOUN
fcis-15826	16	31	of	of	ADP
fcis-15826	16	32	overdue	overdue	ADJ
fcis-15826	16	33	credit	credit	NOUN
fcis-15826	16	34	cards	card	NOUN
fcis-15826	16	35	is	be	AUX
fcis-15826	16	36	expected	expect	VERB
fcis-15826	16	37	to	to	PART
fcis-15826	16	38	reach	reach	VERB
fcis-15826	16	39	89.646	89.646	NUM
fcis-15826	16	40	billion	billion	NUM
fcis-15826	16	41	yuan	yuan	NOUN
fcis-15826	16	42	by	by	ADP
fcis-15826	16	43	the	the	DET
fcis-15826	16	44	end	end	NOUN
fcis-15826	16	45	of	of	ADP
fcis-15826	16	46	2023	2023	NUM
fcis-15826	16	47	,	,	PUNCT
fcis-15826	16	48	up	up	ADV
fcis-15826	16	49	6.36	6.36	NUM
fcis-15826	16	50	%	%	NOUN
fcis-15826	16	51	year	year	NOUN
fcis-15826	16	52	-	-	PUNCT
fcis-15826	16	53	onyear	onyear	NOUN
fcis-15826	16	54	.	.	PUNCT
fcis-15826	17	1	it	it	PRON
fcis-15826	17	2	is	be	AUX
fcis-15826	17	3	understood	understand	VERB
fcis-15826	17	4	that	that	SCONJ
fcis-15826	17	5	the	the	DET
fcis-15826	17	6	total	total	ADJ
fcis-15826	17	7	amount	amount	NOUN
fcis-15826	17	8	of	of	ADP
fcis-15826	17	9	overdue	overdue	ADJ
fcis-15826	17	10	credit	credit	NOUN
fcis-15826	17	11	cards	card	NOUN
fcis-15826	17	12	is	be	AUX
fcis-15826	17	13	still	still	ADV
fcis-15826	17	14	at	at	ADP
fcis-15826	17	15	a	a	DET
fcis-15826	17	16	high	high	ADJ
fcis-15826	17	17	level	level	NOUN
fcis-15826	17	18	,	,	PUNCT
fcis-15826	17	19	a	a	DET
fcis-15826	17	20	number	number	NOUN
fcis-15826	17	21	of	of	ADP
fcis-15826	17	22	banks	bank	NOUN
fcis-15826	17	23	in	in	ADP
fcis-15826	17	24	order	order	NOUN
fcis-15826	17	25	to	to	PART
fcis-15826	17	26	adjust	adjust	VERB
fcis-15826	17	27	the	the	DET
fcis-15826	17	28	credit	credit	NOUN
fcis-15826	17	29	card	card	NOUN
fcis-15826	17	30	overdue	overdue	ADJ
fcis-15826	17	31	situation	situation	NOUN
fcis-15826	17	32	,	,	PUNCT
fcis-15826	17	33	reduce	reduce	VERB
fcis-15826	17	34	the	the	DET
fcis-15826	17	35	overdue	overdue	ADJ
fcis-15826	17	36	rate	rate	NOUN
fcis-15826	17	37	of	of	ADP
fcis-15826	17	38	credit	credit	NOUN
fcis-15826	17	39	cards	card	NOUN
fcis-15826	17	40	,	,	PUNCT
fcis-15826	17	41	take	take	VERB
fcis-15826	17	42	measures	measure	NOUN
fcis-15826	17	43	such	such	ADJ
fcis-15826	17	44	as	as	ADP
fcis-15826	17	45	shrinking	shrink	VERB
fcis-15826	17	46	the	the	DET
fcis-15826	17	47	line	line	NOUN
fcis-15826	17	48	of	of	ADP
fcis-15826	17	49	credit	credit	NOUN
fcis-15826	17	50	and	and	CCONJ
fcis-15826	17	51	issuing	issue	VERB
fcis-15826	17	52	card	card	NOUN
fcis-15826	17	53	specifications	specification	NOUN
fcis-15826	17	54	.	.	PUNCT
fcis-15826	18	1	in	in	ADP
fcis-15826	18	2	view	view	NOUN
fcis-15826	18	3	of	of	ADP
fcis-15826	18	4	this	this	PRON
fcis-15826	18	5	,	,	PUNCT
fcis-15826	18	6	how	how	SCONJ
fcis-15826	18	7	to	to	PART
fcis-15826	18	8	quickly	quickly	ADV
fcis-15826	18	9	and	and	CCONJ
fcis-15826	18	10	effectively	effectively	ADV
fcis-15826	18	11	identify	identify	VERB
fcis-15826	18	12	credit	credit	NOUN
fcis-15826	18	13	card	card	NOUN
fcis-15826	18	14	fraud	fraud	NOUN
fcis-15826	18	15	and	and	CCONJ
fcis-15826	18	16	prevent	prevent	VERB
fcis-15826	18	17	risks	risk	NOUN
fcis-15826	18	18	[	[	X
fcis-15826	18	19	1	1	NUM
fcis-15826	18	20	]	]	PUNCT
fcis-15826	18	21	.	.	PUNCT
fcis-15826	19	1	it	it	PRON
fcis-15826	19	2	has	have	AUX
fcis-15826	19	3	become	become	VERB
fcis-15826	19	4	a	a	DET
fcis-15826	19	5	research	research	NOUN
fcis-15826	19	6	topic	topic	NOUN
fcis-15826	19	7	in	in	ADP
fcis-15826	19	8	the	the	DET
fcis-15826	19	9	field	field	NOUN
fcis-15826	19	10	of	of	ADP
fcis-15826	19	11	bank	bank	NOUN
fcis-15826	19	12	risk	risk	NOUN
fcis-15826	19	13	control	control	NOUN
fcis-15826	19	14	.	.	PUNCT
fcis-15826	20	1	however	however	ADV
fcis-15826	20	2	,	,	PUNCT
fcis-15826	20	3	with	with	ADP
fcis-15826	20	4	the	the	DET
fcis-15826	20	5	advent	advent	NOUN
fcis-15826	20	6	of	of	ADP
fcis-15826	20	7	the	the	DET
fcis-15826	20	8	digital	digital	ADJ
fcis-15826	20	9	age	age	NOUN
fcis-15826	20	10	,	,	PUNCT
fcis-15826	20	11	the	the	DET
fcis-15826	20	12	financial	financial	ADJ
fcis-15826	20	13	industry	industry	NOUN
fcis-15826	20	14	is	be	AUX
fcis-15826	20	15	also	also	ADV
fcis-15826	20	16	changing	change	VERB
fcis-15826	20	17	.	.	PUNCT
fcis-15826	21	1	in	in	ADP
fcis-15826	21	2	this	this	DET
fcis-15826	21	3	new	new	ADJ
fcis-15826	21	4	era	era	NOUN
fcis-15826	21	5	,	,	PUNCT
fcis-15826	21	6	innovative	innovative	ADJ
fcis-15826	21	7	technologies	technology	NOUN
fcis-15826	21	8	such	such	ADJ
fcis-15826	21	9	as	as	ADP
fcis-15826	21	10	blockchain	blockchain	NOUN
fcis-15826	21	11	,	,	PUNCT
fcis-15826	21	12	artificial	artificial	ADJ
fcis-15826	21	13	intelligence	intelligence	NOUN
fcis-15826	21	14	and	and	CCONJ
fcis-15826	21	15	big	big	ADJ
fcis-15826	21	16	data	datum	NOUN
fcis-15826	21	17	are	be	AUX
fcis-15826	21	18	profoundly	profoundly	ADV
fcis-15826	21	19	changing	change	VERB
fcis-15826	21	20	the	the	DET
fcis-15826	21	21	forms	form	NOUN
fcis-15826	21	22	and	and	CCONJ
fcis-15826	21	23	methods	method	NOUN
fcis-15826	21	24	of	of	ADP
fcis-15826	21	25	financial	financial	ADJ
fcis-15826	21	26	services	service	NOUN
fcis-15826	21	27	and	and	CCONJ
fcis-15826	21	28	reshaping	reshape	VERB
fcis-15826	21	29	the	the	DET
fcis-15826	21	30	financial	financial	ADJ
fcis-15826	21	31	market	market	NOUN
fcis-15826	21	32	landscape[2	landscape[2	NOUN
fcis-15826	21	33	-	-	SYM
fcis-15826	21	34	3	3	NUM
fcis-15826	21	35	]	]	PUNCT
fcis-15826	21	36	.	.	PUNCT
fcis-15826	22	1	this	this	DET
fcis-15826	22	2	radical	radical	ADJ
fcis-15826	22	3	technological	technological	ADJ
fcis-15826	22	4	change	change	NOUN
fcis-15826	22	5	is	be	AUX
fcis-15826	22	6	also	also	ADV
fcis-15826	22	7	accompanied	accompany	VERB
fcis-15826	22	8	by	by	ADP
fcis-15826	22	9	new	new	ADJ
fcis-15826	22	10	risks	risk	NOUN
fcis-15826	22	11	and	and	CCONJ
fcis-15826	22	12	challenges	challenge	NOUN
fcis-15826	22	13	,	,	PUNCT
fcis-15826	22	14	as	as	ADV
fcis-15826	22	15	well	well	ADV
fcis-15826	22	16	as	as	ADP
fcis-15826	22	17	a	a	DET
fcis-15826	22	18	stricter	strict	ADJ
fcis-15826	22	19	financial	financial	ADJ
fcis-15826	22	20	regulatory	regulatory	ADJ
fcis-15826	22	21	system	system	NOUN
fcis-15826	22	22	.	.	PUNCT
fcis-15826	23	1	in	in	ADP
fcis-15826	23	2	the	the	DET
fcis-15826	23	3	face	face	NOUN
fcis-15826	23	4	of	of	ADP
fcis-15826	23	5	the	the	DET
fcis-15826	23	6	high	high	ADJ
fcis-15826	23	7	complexity	complexity	NOUN
fcis-15826	23	8	,	,	PUNCT
fcis-15826	23	9	global	global	ADJ
fcis-15826	23	10	cross	cross	ADJ
fcis-15826	23	11	-	-	ADJ
fcis-15826	23	12	border	border	ADJ
fcis-15826	23	13	transactions	transaction	NOUN
fcis-15826	23	14	,	,	PUNCT
fcis-15826	23	15	and	and	CCONJ
fcis-15826	23	16	data	datum	NOUN
fcis-15826	23	17	privacy	privacy	NOUN
fcis-15826	23	18	issues	issue	NOUN
fcis-15826	23	19	that	that	PRON
fcis-15826	23	20	digital	digital	ADJ
fcis-15826	23	21	finance	finance	NOUN
fcis-15826	23	22	brings	bring	VERB
fcis-15826	23	23	,	,	PUNCT
fcis-15826	23	24	traditional	traditional	ADJ
fcis-15826	23	25	regulatory	regulatory	ADJ
fcis-15826	23	26	models	model	NOUN
fcis-15826	23	27	are	be	AUX
fcis-15826	23	28	no	no	ADV
fcis-15826	23	29	longer	long	ADV
fcis-15826	23	30	applicable	applicable	ADJ
fcis-15826	23	31	.	.	PUNCT
fcis-15826	24	1	therefore	therefore	ADV
fcis-15826	24	2	,	,	PUNCT
fcis-15826	24	3	there	there	PRON
fcis-15826	24	4	are	be	VERB
fcis-15826	24	5	two	two	NUM
fcis-15826	24	6	major	major	ADJ
fcis-15826	24	7	problems	problem	NOUN
fcis-15826	24	8	in	in	ADP
fcis-15826	24	9	the	the	DET
fcis-15826	24	10	field	field	NOUN
fcis-15826	24	11	of	of	ADP
fcis-15826	24	12	credit	credit	NOUN
fcis-15826	24	13	card	card	NOUN
fcis-15826	24	14	fraud	fraud	NOUN
fcis-15826	24	15	detection	detection	NOUN
fcis-15826	24	16	:	:	PUNCT
fcis-15826	24	17	first	first	ADV
fcis-15826	24	18	,	,	PUNCT
fcis-15826	24	19	in	in	ADP
fcis-15826	24	20	real	real	ADJ
fcis-15826	24	21	life	life	NOUN
fcis-15826	24	22	,	,	PUNCT
fcis-15826	24	23	it	it	PRON
fcis-15826	24	24	is	be	AUX
fcis-15826	24	25	difficult	difficult	ADJ
fcis-15826	24	26	to	to	PART
fcis-15826	24	27	obtain	obtain	VERB
fcis-15826	24	28	data	datum	NOUN
fcis-15826	24	29	labels	label	NOUN
fcis-15826	24	30	for	for	ADP
fcis-15826	24	31	fraud	fraud	NOUN
fcis-15826	24	32	samples	sample	NOUN
fcis-15826	24	33	,	,	PUNCT
fcis-15826	24	34	the	the	DET
fcis-15826	24	35	cost	cost	NOUN
fcis-15826	24	36	of	of	ADP
fcis-15826	24	37	manually	manually	ADV
fcis-15826	24	38	labeling	labeling	NOUN
fcis-15826	24	39	data	datum	NOUN
fcis-15826	24	40	is	be	AUX
fcis-15826	24	41	high	high	ADJ
fcis-15826	24	42	,	,	PUNCT
fcis-15826	24	43	and	and	CCONJ
fcis-15826	24	44	the	the	DET
fcis-15826	24	45	amount	amount	NOUN
fcis-15826	24	46	of	of	ADP
fcis-15826	24	47	labeled	label	VERB
fcis-15826	24	48	sample	sample	NOUN
fcis-15826	24	49	data	datum	NOUN
fcis-15826	24	50	is	be	AUX
fcis-15826	24	51	not	not	PART
fcis-15826	24	52	enough	enough	ADJ
fcis-15826	24	53	to	to	PART
fcis-15826	24	54	reflect	reflect	VERB
fcis-15826	24	55	the	the	DET
fcis-15826	24	56	real	real	ADJ
fcis-15826	24	57	fraud	fraud	NOUN
fcis-15826	24	58	situation	situation	NOUN
fcis-15826	24	59	,	,	PUNCT
fcis-15826	24	60	in	in	ADP
fcis-15826	24	61	most	most	ADJ
fcis-15826	24	62	cases	case	NOUN
fcis-15826	24	63	,	,	PUNCT
fcis-15826	24	64	commercial	commercial	ADJ
fcis-15826	24	65	banks	bank	NOUN
fcis-15826	24	66	are	be	AUX
fcis-15826	24	67	faced	face	VERB
fcis-15826	24	68	with	with	ADP
fcis-15826	24	69	unlabeled	unlabeled	ADJ
fcis-15826	24	70	data	data	NOUN
fcis-15826	24	71	sets	set	NOUN
fcis-15826	24	72	;	;	PUNCT
fcis-15826	24	73	second	second	X
fcis-15826	24	74	,	,	PUNCT
fcis-15826	24	75	there	there	PRON
fcis-15826	24	76	is	be	VERB
fcis-15826	24	77	an	an	DET
fcis-15826	24	78	extreme	extreme	ADJ
fcis-15826	24	79	imbalance	imbalance	NOUN
fcis-15826	24	80	in	in	ADP
fcis-15826	24	81	the	the	DET
fcis-15826	24	82	category	category	NOUN
fcis-15826	24	83	of	of	ADP
fcis-15826	24	84	credit	credit	NOUN
fcis-15826	24	85	card	card	NOUN
fcis-15826	24	86	transaction	transaction	NOUN
fcis-15826	24	87	data	data	VERB
fcis-15826	24	88	the	the	DET
fcis-15826	24	89	phenomenon	phenomenon	NOUN
fcis-15826	24	90	of	of	ADP
fcis-15826	24	91	...	...	PUNCT
fcis-15826	24	92	that	that	PRON
fcis-15826	24	93	is	is	ADV
fcis-15826	24	94	,	,	PUNCT
fcis-15826	24	95	the	the	DET
fcis-15826	24	96	fraud	fraud	NOUN
fcis-15826	24	97	sample	sample	NOUN
fcis-15826	24	98	is	be	AUX
fcis-15826	24	99	much	much	ADV
fcis-15826	24	100	smaller	small	ADJ
fcis-15826	24	101	than	than	ADP
fcis-15826	24	102	the	the	DET
fcis-15826	24	103	normal	normal	ADJ
fcis-15826	24	104	sample[4	sample[4	NOUN
fcis-15826	24	105	]	]	PUNCT
fcis-15826	24	106	.	.	PUNCT
fcis-15826	25	1	in	in	ADP
fcis-15826	25	2	view	view	NOUN
fcis-15826	25	3	of	of	ADP
fcis-15826	25	4	this	this	PRON
fcis-15826	25	5	,	,	PUNCT
fcis-15826	25	6	in	in	ADP
fcis-15826	25	7	view	view	NOUN
fcis-15826	25	8	of	of	ADP
fcis-15826	25	9	the	the	DET
fcis-15826	25	10	absence	absence	NOUN
fcis-15826	25	11	of	of	ADP
fcis-15826	25	12	labels	label	NOUN
fcis-15826	25	13	in	in	ADP
fcis-15826	25	14	the	the	DET
fcis-15826	25	15	data	data	NOUN
fcis-15826	25	16	set	set	VERB
fcis-15826	25	17	,	,	PUNCT
fcis-15826	25	18	this	this	DET
fcis-15826	25	19	paper	paper	NOUN
fcis-15826	25	20	mined	mine	VERB
fcis-15826	25	21	the	the	DET
fcis-15826	25	22	potential	potential	ADJ
fcis-15826	25	23	information	information	NOUN
fcis-15826	25	24	in	in	ADP
fcis-15826	25	25	customer	customer	NOUN
fcis-15826	25	26	characteristics	characteristic	NOUN
fcis-15826	25	27	,	,	PUNCT
fcis-15826	25	28	issued	issue	VERB
fcis-15826	25	29	an	an	DET
fcis-15826	25	30	early	early	ADJ
fcis-15826	25	31	warning	warning	NOUN
fcis-15826	25	32	for	for	ADP
fcis-15826	25	33	applications	application	NOUN
fcis-15826	25	34	with	with	ADP
fcis-15826	25	35	high	high	ADJ
fcis-15826	25	36	potential	potential	ADJ
fcis-15826	25	37	risks	risk	NOUN
fcis-15826	25	38	,	,	PUNCT
fcis-15826	25	39	identified	identify	VERB
fcis-15826	25	40	"	"	PUNCT
fcis-15826	25	41	abnormal	abnormal	ADJ
fcis-15826	25	42	customers	customer	NOUN
fcis-15826	25	43	"	"	PUNCT
fcis-15826	25	44	,	,	PUNCT
fcis-15826	25	45	and	and	CCONJ
fcis-15826	25	46	aimed	aim	VERB
fcis-15826	25	47	to	to	PART
fcis-15826	25	48	reduce	reduce	VERB
fcis-15826	25	49	the	the	DET
fcis-15826	25	50	risk	risk	NOUN
fcis-15826	25	51	of	of	ADP
fcis-15826	25	52	fraud	fraud	NOUN
fcis-15826	25	53	from	from	ADP
fcis-15826	25	54	the	the	DET
fcis-15826	25	55	aspect	aspect	NOUN
fcis-15826	25	56	of	of	ADP
fcis-15826	25	57	credit	credit	NOUN
fcis-15826	25	58	approval	approval	NOUN
fcis-15826	25	59	.	.	PUNCT
fcis-15826	26	1	2	2	X
fcis-15826	26	2	.	.	X
fcis-15826	26	3	related	relate	VERB
fcis-15826	26	4	work	work	NOUN
fcis-15826	26	5	since	since	SCONJ
fcis-15826	26	6	the	the	DET
fcis-15826	26	7	1990s	1990s	NUM
fcis-15826	26	8	,	,	PUNCT
fcis-15826	26	9	scholars	scholar	NOUN
fcis-15826	26	10	have	have	AUX
fcis-15826	26	11	begun	begin	VERB
fcis-15826	26	12	to	to	PART
fcis-15826	26	13	explore	explore	VERB
fcis-15826	26	14	credit	credit	NOUN
fcis-15826	26	15	card	card	NOUN
fcis-15826	26	16	fraud	fraud	NOUN
fcis-15826	26	17	detection	detection	NOUN
fcis-15826	26	18	methods	method	NOUN
fcis-15826	26	19	based	base	VERB
fcis-15826	26	20	on	on	ADP
fcis-15826	26	21	data	datum	NOUN
fcis-15826	26	22	mining	mining	NOUN
fcis-15826	26	23	,	,	PUNCT
fcis-15826	26	24	such	such	ADJ
fcis-15826	26	25	as	as	ADP
fcis-15826	26	26	decision	decision	NOUN
fcis-15826	26	27	tree	tree	NOUN
fcis-15826	26	28	,	,	PUNCT
fcis-15826	26	29	neural	neural	ADJ
fcis-15826	26	30	network	network	NOUN
fcis-15826	26	31	,	,	PUNCT
fcis-15826	26	32	support	support	NOUN
fcis-15826	26	33	vector	vector	NOUN
fcis-15826	26	34	machine	machine	NOUN
fcis-15826	26	35	,	,	PUNCT
fcis-15826	26	36	etc	etc	X
fcis-15826	26	37	.	.	X
fcis-15826	26	38	with	with	ADP
fcis-15826	26	39	the	the	DET
fcis-15826	26	40	development	development	NOUN
fcis-15826	26	41	of	of	ADP
fcis-15826	26	42	artificial	artificial	ADJ
fcis-15826	26	43	intelligence	intelligence	NOUN
fcis-15826	26	44	technology	technology	NOUN
fcis-15826	26	45	,	,	PUNCT
fcis-15826	26	46	some	some	DET
fcis-15826	26	47	scholars	scholar	NOUN
fcis-15826	26	48	have	have	AUX
fcis-15826	26	49	applied	apply	VERB
fcis-15826	26	50	deep	deep	ADJ
fcis-15826	26	51	learning	learning	NOUN
fcis-15826	26	52	technology	technology	NOUN
fcis-15826	26	53	to	to	ADP
fcis-15826	26	54	the	the	DET
fcis-15826	26	55	field	field	NOUN
fcis-15826	26	56	of	of	ADP
fcis-15826	26	57	credit	credit	NOUN
fcis-15826	26	58	card	card	NOUN
fcis-15826	26	59	fraud	fraud	NOUN
fcis-15826	26	60	detection	detection	NOUN
fcis-15826	26	61	:	:	PUNCT
fcis-15826	27	1	jurgovsky	jurgovsky	NOUN
fcis-15826	27	2	et	et	PROPN
fcis-15826	27	3	al	al	PROPN
fcis-15826	27	4	.	.	PROPN
fcis-15826	28	1	transform	transform	VERB
fcis-15826	28	2	fraud	fraud	NOUN
fcis-15826	28	3	detection	detection	NOUN
fcis-15826	28	4	problems	problem	NOUN
fcis-15826	28	5	into	into	ADP
fcis-15826	28	6	sequence	sequence	NOUN
fcis-15826	28	7	classification	classification	NOUN
fcis-15826	28	8	tasks	task	NOUN
fcis-15826	28	9	and	and	CCONJ
fcis-15826	28	10	use	use	VERB
fcis-15826	28	11	long	long	ADJ
fcis-15826	28	12	and	and	CCONJ
fcis-15826	28	13	short	short	ADJ
fcis-15826	28	14	term	term	NOUN
fcis-15826	28	15	memory	memory	NOUN
fcis-15826	28	16	neural	neural	ADJ
fcis-15826	28	17	networks	network	NOUN
fcis-15826	28	18	for	for	ADP
fcis-15826	28	19	prediction	prediction	NOUN
fcis-15826	28	20	,	,	PUNCT
fcis-15826	28	21	thus	thus	ADV
fcis-15826	28	22	effectively	effectively	ADV
fcis-15826	28	23	improving	improve	VERB
fcis-15826	28	24	detection	detection	NOUN
fcis-15826	28	25	accuracy	accuracy	NOUN
fcis-15826	28	26	:	:	PUNCT
fcis-15826	28	27	fiore	fiore	NOUN
fcis-15826	28	28	et	et	PROPN
fcis-15826	28	29	al	al	PROPN
fcis-15826	28	30	.	.	PUNCT
fcis-15826	29	1	train	train	PROPN
fcis-15826	29	2	generative	generative	ADJ
fcis-15826	29	3	adversarial	adversarial	ADJ
fcis-15826	29	4	networks	network	NOUN
fcis-15826	29	5	networks	network	NOUN
fcis-15826	29	6	(	(	PUNCT
fcis-15826	29	7	gan	gan	NOUN
fcis-15826	29	8	)	)	PUNCT
fcis-15826	29	9	model	model	NOUN
fcis-15826	29	10	,	,	PUNCT
fcis-15826	29	11	which	which	PRON
fcis-15826	29	12	is	be	AUX
fcis-15826	29	13	used	use	VERB
fcis-15826	29	14	to	to	PART
fcis-15826	29	15	generate	generate	VERB
fcis-15826	29	16	fraud	fraud	NOUN
fcis-15826	29	17	samples	sample	NOUN
fcis-15826	29	18	and	and	CCONJ
fcis-15826	29	19	combine	combine	VERB
fcis-15826	29	20	these	these	DET
fcis-15826	29	21	samples	sample	NOUN
fcis-15826	29	22	with	with	ADP
fcis-15826	29	23	original	original	ADJ
fcis-15826	29	24	data	datum	NOUN
fcis-15826	29	25	sets	set	NOUN
fcis-15826	29	26	to	to	PART
fcis-15826	29	27	build	build	VERB
fcis-15826	29	28	an	an	DET
fcis-15826	29	29	effective	effective	ADJ
fcis-15826	29	30	fraud	fraud	NOUN
fcis-15826	29	31	detection	detection	NOUN
fcis-15826	29	32	mechanism[5	mechanism[5	NOUN
fcis-15826	29	33	-	-	PUNCT
fcis-15826	29	34	7	7	NUM
fcis-15826	29	35	]	]	PUNCT
fcis-15826	29	36	.	.	PUNCT
fcis-15826	30	1	at	at	ADP
fcis-15826	30	2	present	present	ADJ
fcis-15826	30	3	,	,	PUNCT
fcis-15826	30	4	the	the	DET
fcis-15826	30	5	development	development	NOUN
fcis-15826	30	6	of	of	ADP
fcis-15826	30	7	"	"	PUNCT
fcis-15826	30	8	internet	internet	NOUN
fcis-15826	30	9	+	+	CCONJ
fcis-15826	30	10	finance	finance	NOUN
fcis-15826	30	11	"	"	PUNCT
fcis-15826	30	12	has	have	AUX
fcis-15826	30	13	made	make	VERB
fcis-15826	30	14	people	people	NOUN
fcis-15826	30	15	's	's	PART
fcis-15826	30	16	120	120	NUM
fcis-15826	30	17	transaction	transaction	NOUN
fcis-15826	30	18	methods	method	NOUN
fcis-15826	30	19	more	more	ADV
fcis-15826	30	20	convenient	convenient	ADJ
fcis-15826	30	21	.	.	PUNCT
fcis-15826	31	1	among	among	ADP
fcis-15826	31	2	them	they	PRON
fcis-15826	31	3	,	,	PUNCT
fcis-15826	31	4	credit	credit	NOUN
fcis-15826	31	5	card	card	NOUN
fcis-15826	31	6	transaction	transaction	NOUN
fcis-15826	31	7	has	have	AUX
fcis-15826	31	8	become	become	VERB
fcis-15826	31	9	one	one	NUM
fcis-15826	31	10	of	of	ADP
fcis-15826	31	11	the	the	DET
fcis-15826	31	12	most	most	ADV
fcis-15826	31	13	popular	popular	ADJ
fcis-15826	31	14	online	online	ADJ
fcis-15826	31	15	and	and	CCONJ
fcis-15826	31	16	offline	offline	ADJ
fcis-15826	31	17	payment	payment	NOUN
fcis-15826	31	18	methods	method	NOUN
fcis-15826	31	19	,	,	PUNCT
fcis-15826	31	20	and	and	CCONJ
fcis-15826	31	21	the	the	DET
fcis-15826	31	22	increase	increase	NOUN
fcis-15826	31	23	in	in	ADP
fcis-15826	31	24	the	the	DET
fcis-15826	31	25	number	number	NOUN
fcis-15826	31	26	of	of	ADP
fcis-15826	31	27	credit	credit	NOUN
fcis-15826	31	28	card	card	NOUN
fcis-15826	31	29	transactions	transaction	NOUN
fcis-15826	31	30	has	have	AUX
fcis-15826	31	31	made	make	VERB
fcis-15826	31	32	credit	credit	NOUN
fcis-15826	31	33	card	card	NOUN
fcis-15826	31	34	fraud	fraud	NOUN
fcis-15826	31	35	often	often	ADV
fcis-15826	31	36	occur	occur	VERB
fcis-15826	31	37	.	.	PUNCT
fcis-15826	32	1	according	accord	VERB
fcis-15826	32	2	to	to	ADP
fcis-15826	32	3	the	the	DET
fcis-15826	32	4	blue	blue	ADJ
fcis-15826	32	5	book	book	NOUN
fcis-15826	32	6	on	on	ADP
fcis-15826	32	7	the	the	DET
fcis-15826	32	8	development	development	NOUN
fcis-15826	32	9	of	of	ADP
fcis-15826	32	10	china	china	PROPN
fcis-15826	32	11	's	's	PART
fcis-15826	32	12	bank	bank	PROPN
fcis-15826	32	13	card	card	NOUN
fcis-15826	32	14	industry	industry	NOUN
fcis-15826	32	15	(	(	PUNCT
fcis-15826	32	16	2022	2022	NUM
fcis-15826	32	17	)	)	PUNCT
fcis-15826	32	18	,	,	PUNCT
fcis-15826	32	19	by	by	ADP
fcis-15826	32	20	the	the	DET
fcis-15826	32	21	end	end	NOUN
fcis-15826	32	22	of	of	ADP
fcis-15826	32	23	2021	2021	NUM
fcis-15826	32	24	,	,	PUNCT
fcis-15826	32	25	the	the	DET
fcis-15826	32	26	cumulative	cumulative	ADJ
fcis-15826	32	27	issuance	issuance	NOUN
fcis-15826	32	28	of	of	ADP
fcis-15826	32	29	bank	bank	NOUN
fcis-15826	32	30	cards	card	NOUN
fcis-15826	32	31	reached	reach	VERB
fcis-15826	32	32	9.25	9.25	NUM
fcis-15826	32	33	billion	billion	NUM
fcis-15826	32	34	in	in	ADP
fcis-15826	32	35	china	china	PROPN
fcis-15826	32	36	,	,	PUNCT
fcis-15826	32	37	with	with	ADP
fcis-15826	32	38	270	270	NUM
fcis-15826	32	39	million	million	NUM
fcis-15826	32	40	new	new	ADJ
fcis-15826	32	41	credit	credit	NOUN
fcis-15826	32	42	cards	card	NOUN
fcis-15826	32	43	issued	issue	VERB
fcis-15826	32	44	in	in	ADP
fcis-15826	32	45	the	the	DET
fcis-15826	32	46	year	year	NOUN
fcis-15826	32	47	,	,	PUNCT
fcis-15826	32	48	an	an	DET
fcis-15826	32	49	increase	increase	NOUN
fcis-15826	32	50	of	of	ADP
fcis-15826	32	51	3.0%.the	3.0%.the	DET
fcis-15826	32	52	outstanding	outstanding	ADJ
fcis-15826	32	53	credit	credit	NOUN
fcis-15826	32	54	balance	balance	NOUN
fcis-15826	32	55	of	of	ADP
fcis-15826	32	56	bank	bank	NOUN
fcis-15826	32	57	cards	card	NOUN
fcis-15826	32	58	was	be	AUX
fcis-15826	32	59	8.62	8.62	NUM
fcis-15826	32	60	trillion	trillion	NUM
fcis-15826	32	61	yuan	yuan	NOUN
fcis-15826	32	62	,	,	PUNCT
fcis-15826	32	63	an	an	DET
fcis-15826	32	64	increase	increase	NOUN
fcis-15826	32	65	of	of	ADP
fcis-15826	32	66	8.9	8.9	NUM
fcis-15826	32	67	%	%	NOUN
fcis-15826	32	68	over	over	ADP
fcis-15826	32	69	the	the	DET
fcis-15826	32	70	previous	previous	ADJ
fcis-15826	32	71	year	year	NOUN
fcis-15826	32	72	;	;	PUNCT
fcis-15826	32	73	the	the	DET
fcis-15826	32	74	total	total	ADJ
fcis-15826	32	75	outstanding	outstanding	ADJ
fcis-15826	32	76	credit	credit	NOUN
fcis-15826	32	77	of	of	ADP
fcis-15826	32	78	overdue	overdue	ADJ
fcis-15826	32	79	credit	credit	NOUN
fcis-15826	32	80	cards	card	NOUN
fcis-15826	32	81	for	for	ADP
fcis-15826	32	82	six	six	NUM
fcis-15826	32	83	months	month	NOUN
fcis-15826	32	84	was	be	AUX
fcis-15826	32	85	86.04	86.04	NUM
fcis-15826	32	86	billion	billion	NUM
fcis-15826	32	87	yuan	yuan	NOUN
fcis-15826	32	88	,	,	PUNCT
fcis-15826	32	89	up	up	ADV
fcis-15826	32	90	2.6	2.6	NUM
fcis-15826	32	91	%	%	NOUN
fcis-15826	32	92	yearon	yearon	NOUN
fcis-15826	32	93	-	-	PUNCT
fcis-15826	32	94	year	year	NOUN
fcis-15826	32	95	;	;	PUNCT
fcis-15826	32	96	the	the	DET
fcis-15826	32	97	card	card	NOUN
fcis-15826	32	98	fraud	fraud	NOUN
fcis-15826	32	99	rate	rate	NOUN
fcis-15826	32	100	was	be	AUX
fcis-15826	32	101	0.32	0.32	NUM
fcis-15826	32	102	basis	basis	NOUN
fcis-15826	32	103	points	point	NOUN
fcis-15826	32	104	,	,	PUNCT
fcis-15826	32	105	down	down	ADV
fcis-15826	32	106	0.43	0.43	NUM
fcis-15826	32	107	basis	basis	NOUN
fcis-15826	32	108	points	point	NOUN
fcis-15826	32	109	from	from	ADP
fcis-15826	32	110	the	the	DET
fcis-15826	32	111	previous	previous	ADJ
fcis-15826	32	112	year[8	year[8	NOUN
fcis-15826	32	113	]	]	PUNCT
fcis-15826	32	114	.	.	PUNCT
fcis-15826	33	1	in	in	ADP
fcis-15826	33	2	the	the	DET
fcis-15826	33	3	case	case	NOUN
fcis-15826	33	4	that	that	SCONJ
fcis-15826	33	5	the	the	DET
fcis-15826	33	6	data	data	NOUN
fcis-15826	33	7	sample	sample	NOUN
fcis-15826	33	8	contains	contain	VERB
fcis-15826	33	9	only	only	ADV
fcis-15826	33	10	features	feature	NOUN
fcis-15826	33	11	without	without	ADP
fcis-15826	33	12	labels	label	NOUN
fcis-15826	33	13	,	,	PUNCT
fcis-15826	33	14	anomaly	anomaly	NOUN
fcis-15826	33	15	detection	detection	NOUN
fcis-15826	33	16	can	can	AUX
fcis-15826	33	17	reveal	reveal	VERB
fcis-15826	33	18	the	the	DET
fcis-15826	33	19	internal	internal	ADJ
fcis-15826	33	20	rule	rule	NOUN
fcis-15826	33	21	between	between	ADP
fcis-15826	33	22	samples	sample	NOUN
fcis-15826	33	23	through	through	ADP
fcis-15826	33	24	the	the	DET
fcis-15826	33	25	analysis	analysis	NOUN
fcis-15826	33	26	of	of	ADP
fcis-15826	33	27	the	the	DET
fcis-15826	33	28	characteristics	characteristic	NOUN
fcis-15826	33	29	of	of	ADP
fcis-15826	33	30	the	the	DET
fcis-15826	33	31	data	datum	NOUN
fcis-15826	33	32	sample	sample	NOUN
fcis-15826	33	33	,	,	PUNCT
fcis-15826	33	34	so	so	SCONJ
fcis-15826	33	35	as	as	SCONJ
fcis-15826	33	36	to	to	PART
fcis-15826	33	37	find	find	VERB
fcis-15826	33	38	a	a	DET
fcis-15826	33	39	few	few	ADJ
fcis-15826	33	40	samples	sample	NOUN
fcis-15826	33	41	that	that	PRON
fcis-15826	33	42	are	be	AUX
fcis-15826	33	43	significantly	significantly	ADV
fcis-15826	33	44	different	different	ADJ
fcis-15826	33	45	from	from	ADP
fcis-15826	33	46	the	the	DET
fcis-15826	33	47	general	general	ADJ
fcis-15826	33	48	behavior	behavior	NOUN
fcis-15826	33	49	or	or	CCONJ
fcis-15826	33	50	pattern	pattern	NOUN
fcis-15826	33	51	.	.	PUNCT
fcis-15826	34	1	because	because	SCONJ
fcis-15826	34	2	it	it	PRON
fcis-15826	34	3	is	be	AUX
fcis-15826	34	4	extremely	extremely	ADV
fcis-15826	34	5	difficult	difficult	ADJ
fcis-15826	34	6	to	to	PART
fcis-15826	34	7	obtain	obtain	VERB
fcis-15826	34	8	labels	label	NOUN
fcis-15826	34	9	of	of	ADP
fcis-15826	34	10	fraudulent	fraudulent	ADJ
fcis-15826	34	11	transactions	transaction	NOUN
fcis-15826	34	12	,	,	PUNCT
fcis-15826	34	13	some	some	DET
fcis-15826	34	14	scholars	scholar	NOUN
fcis-15826	34	15	regard	regard	VERB
fcis-15826	34	16	fraudulent	fraudulent	ADJ
fcis-15826	34	17	samples	sample	NOUN
fcis-15826	34	18	as	as	ADP
fcis-15826	34	19	outliers	outlier	NOUN
fcis-15826	34	20	and	and	CCONJ
fcis-15826	34	21	separate	separate	VERB
fcis-15826	34	22	them	they	PRON
fcis-15826	34	23	from	from	ADP
fcis-15826	34	24	normal	normal	ADJ
fcis-15826	34	25	samples	sample	NOUN
fcis-15826	34	26	by	by	ADP
fcis-15826	34	27	anomaly	anomaly	NOUN
fcis-15826	34	28	detection	detection	NOUN
fcis-15826	34	29	technology	technology	NOUN
fcis-15826	34	30	.	.	PUNCT
fcis-15826	35	1	van	van	PROPN
fcis-15826	35	2	et	et	NOUN
fcis-15826	35	3	al[9	al[9	PROPN
fcis-15826	35	4	-	-	SYM
fcis-15826	35	5	10	10	NUM
fcis-15826	35	6	]	]	PUNCT
fcis-15826	35	7	.	.	PUNCT
fcis-15826	36	1	h	h	PROPN
fcis-15826	36	2	used	use	VERB
fcis-15826	36	3	unsupervised	unsupervised	ADJ
fcis-15826	36	4	anomaly	anomaly	NOUN
fcis-15826	36	5	detection	detection	NOUN
fcis-15826	36	6	technology	technology	NOUN
fcis-15826	36	7	to	to	PART
fcis-15826	36	8	identify	identify	VERB
fcis-15826	36	9	fraud	fraud	NOUN
fcis-15826	36	10	samples	sample	NOUN
fcis-15826	36	11	of	of	ADP
fcis-15826	36	12	medical	medical	ADJ
fcis-15826	36	13	insurance	insurance	NOUN
fcis-15826	36	14	claims	claim	NOUN
fcis-15826	36	15	,	,	PUNCT
fcis-15826	36	16	and	and	CCONJ
fcis-15826	36	17	the	the	DET
fcis-15826	36	18	experimental	experimental	ADJ
fcis-15826	36	19	results	result	NOUN
fcis-15826	36	20	showed	show	VERB
fcis-15826	36	21	that	that	SCONJ
fcis-15826	36	22	potential	potential	ADJ
fcis-15826	36	23	new	new	ADJ
fcis-15826	36	24	fraud	fraud	NOUN
fcis-15826	36	25	patterns	pattern	NOUN
fcis-15826	36	26	could	could	AUX
fcis-15826	36	27	be	be	AUX
fcis-15826	36	28	detected	detect	VERB
fcis-15826	36	29	through	through	ADP
fcis-15826	36	30	anomaly	anomaly	NOUN
fcis-15826	36	31	detection	detection	NOUN
fcis-15826	36	32	technology	technology	NOUN
fcis-15826	36	33	.	.	PUNCT
fcis-15826	37	1	porwal	porwal	NOUN
fcis-15826	37	2	et	et	PROPN
fcis-15826	37	3	al	al	PROPN
fcis-15826	37	4	.	.	PROPN
fcis-15826	37	5	adopt	adopt	VERB
fcis-15826	37	6	the	the	DET
fcis-15826	37	7	clustering	clustering	ADJ
fcis-15826	37	8	based	base	VERB
fcis-15826	37	9	integration	integration	NOUN
fcis-15826	37	10	method	method	NOUN
fcis-15826	37	11	to	to	PART
fcis-15826	37	12	obtain	obtain	VERB
fcis-15826	37	13	the	the	DET
fcis-15826	37	14	anomaly	anomaly	NOUN
fcis-15826	37	15	score	score	NOUN
fcis-15826	37	16	of	of	ADP
fcis-15826	37	17	each	each	DET
fcis-15826	37	18	data	datum	NOUN
fcis-15826	37	19	sample	sample	NOUN
fcis-15826	37	20	,	,	PUNCT
fcis-15826	37	21	which	which	PRON
fcis-15826	37	22	can	can	AUX
fcis-15826	37	23	detect	detect	VERB
fcis-15826	37	24	abnormal	abnormal	ADJ
fcis-15826	37	25	samples	sample	NOUN
fcis-15826	37	26	in	in	ADP
fcis-15826	37	27	large	large	ADJ
fcis-15826	37	28	data	datum	NOUN
fcis-15826	37	29	sets	set	NOUN
fcis-15826	37	30	.	.	PUNCT
fcis-15826	38	1	and	and	CCONJ
fcis-15826	38	2	it	it	PRON
fcis-15826	38	3	can	can	AUX
fcis-15826	38	4	have	have	VERB
fcis-15826	38	5	a	a	DET
fcis-15826	38	6	strong	strong	ADJ
fcis-15826	38	7	robustness	robustness	NOUN
fcis-15826	38	8	to	to	ADP
fcis-15826	38	9	changing	change	VERB
fcis-15826	38	10	fraud	fraud	NOUN
fcis-15826	38	11	patterns	pattern	NOUN
fcis-15826	38	12	.	.	PUNCT
fcis-15826	39	1	it	it	PRON
fcis-15826	39	2	is	be	AUX
fcis-15826	39	3	of	of	ADP
fcis-15826	39	4	practical	practical	ADJ
fcis-15826	39	5	significance	significance	NOUN
fcis-15826	39	6	and	and	CCONJ
fcis-15826	39	7	value	value	NOUN
fcis-15826	39	8	to	to	PART
fcis-15826	39	9	use	use	VERB
fcis-15826	39	10	unsupervised	unsupervised	ADJ
fcis-15826	39	11	anomaly	anomaly	NOUN
fcis-15826	39	12	detection	detection	NOUN
fcis-15826	39	13	method	method	NOUN
fcis-15826	39	14	to	to	PART
fcis-15826	39	15	identify	identify	VERB
fcis-15826	39	16	fraudulent	fraudulent	ADJ
fcis-15826	39	17	samples	sample	NOUN
fcis-15826	39	18	,	,	PUNCT
fcis-15826	39	19	and	and	CCONJ
fcis-15826	39	20	effectively	effectively	ADV
fcis-15826	39	21	solve	solve	VERB
fcis-15826	39	22	the	the	DET
fcis-15826	39	23	problem	problem	NOUN
fcis-15826	39	24	of	of	ADP
fcis-15826	39	25	missing	miss	VERB
fcis-15826	39	26	labels	label	NOUN
fcis-15826	39	27	.	.	PUNCT
fcis-15826	40	1	at	at	ADP
fcis-15826	40	2	present	present	ADJ
fcis-15826	40	3	,	,	PUNCT
fcis-15826	40	4	the	the	DET
fcis-15826	40	5	methods	method	NOUN
fcis-15826	40	6	to	to	PART
fcis-15826	40	7	deal	deal	VERB
fcis-15826	40	8	with	with	ADP
fcis-15826	40	9	unbalanced	unbalanced	ADJ
fcis-15826	40	10	data	datum	NOUN
fcis-15826	40	11	can	can	AUX
fcis-15826	40	12	be	be	AUX
fcis-15826	40	13	summarized	summarize	VERB
fcis-15826	40	14	into	into	ADP
fcis-15826	40	15	two	two	NUM
fcis-15826	40	16	categories	category	NOUN
fcis-15826	40	17	:	:	PUNCT
fcis-15826	40	18	one	one	NUM
fcis-15826	40	19	is	be	AUX
fcis-15826	40	20	to	to	PART
fcis-15826	40	21	adjust	adjust	VERB
fcis-15826	40	22	the	the	DET
fcis-15826	40	23	sample	sample	NOUN
fcis-15826	40	24	category	category	NOUN
fcis-15826	40	25	distribution	distribution	NOUN
fcis-15826	40	26	by	by	ADP
fcis-15826	40	27	under	under	ADP
fcis-15826	40	28	sampling	sample	VERB
fcis-15826	40	29	or	or	CCONJ
fcis-15826	40	30	oversampling	oversample	VERB
fcis-15826	40	31	at	at	ADP
fcis-15826	40	32	the	the	DET
fcis-15826	40	33	data	data	NOUN
fcis-15826	40	34	level	level	NOUN
fcis-15826	40	35	;	;	PUNCT
fcis-15826	40	36	the	the	DET
fcis-15826	40	37	other	other	ADJ
fcis-15826	40	38	is	be	AUX
fcis-15826	40	39	to	to	PART
fcis-15826	40	40	deal	deal	VERB
fcis-15826	40	41	with	with	ADP
fcis-15826	40	42	the	the	DET
fcis-15826	40	43	algorithm	algorithm	NOUN
fcis-15826	40	44	level	level	NOUN
fcis-15826	40	45	represented	represent	VERB
fcis-15826	40	46	by	by	ADP
fcis-15826	40	47	cost	cost	NOUN
fcis-15826	40	48	-	-	PUNCT
fcis-15826	40	49	sensitive	sensitive	ADJ
fcis-15826	40	50	learning	learning	NOUN
fcis-15826	40	51	and	and	CCONJ
fcis-15826	40	52	ensemble	ensemble	ADJ
fcis-15826	40	53	learning	learning	NOUN
fcis-15826	40	54	.	.	PUNCT
fcis-15826	41	1	the	the	DET
fcis-15826	41	2	classification	classification	NOUN
fcis-15826	41	3	prediction	prediction	NOUN
fcis-15826	41	4	of	of	ADP
fcis-15826	41	5	unbalanced	unbalanced	ADJ
fcis-15826	41	6	data	datum	NOUN
fcis-15826	41	7	based	base	VERB
fcis-15826	41	8	on	on	ADP
fcis-15826	41	9	a	a	DET
fcis-15826	41	10	single	single	ADJ
fcis-15826	41	11	machine	machine	NOUN
fcis-15826	41	12	learning	learn	VERB
fcis-15826	41	13	classification	classification	NOUN
fcis-15826	41	14	algorithm	algorithm	NOUN
fcis-15826	41	15	may	may	AUX
fcis-15826	41	16	lead	lead	VERB
fcis-15826	41	17	to	to	ADP
fcis-15826	41	18	certain	certain	ADJ
fcis-15826	41	19	bias	bias	NOUN
fcis-15826	41	20	,	,	PUNCT
fcis-15826	41	21	while	while	SCONJ
fcis-15826	41	22	ensemble	ensemble	ADJ
fcis-15826	41	23	learning	learning	NOUN
fcis-15826	41	24	fuses	fuse	NOUN
fcis-15826	41	25	diverse	diverse	ADJ
fcis-15826	41	26	and	and	CCONJ
fcis-15826	41	27	complementary	complementary	ADJ
fcis-15826	41	28	multiple	multiple	ADJ
fcis-15826	41	29	base	base	NOUN
fcis-15826	41	30	classifiers	classifier	NOUN
fcis-15826	41	31	into	into	ADP
fcis-15826	41	32	a	a	DET
fcis-15826	41	33	strong	strong	ADJ
fcis-15826	41	34	classifier	classifier	NOUN
fcis-15826	41	35	,	,	PUNCT
fcis-15826	41	36	which	which	PRON
fcis-15826	41	37	can	can	AUX
fcis-15826	41	38	effectively	effectively	ADV
fcis-15826	41	39	improve	improve	VERB
fcis-15826	41	40	the	the	DET
fcis-15826	41	41	accuracy	accuracy	NOUN
fcis-15826	41	42	and	and	CCONJ
fcis-15826	41	43	stability	stability	NOUN
fcis-15826	41	44	of	of	ADP
fcis-15826	41	45	the	the	DET
fcis-15826	41	46	model	model	NOUN
fcis-15826	41	47	.	.	PUNCT
fcis-15826	42	1	therefore	therefore	ADV
fcis-15826	42	2	,	,	PUNCT
fcis-15826	42	3	in	in	ADP
fcis-15826	42	4	the	the	DET
fcis-15826	42	5	construction	construction	NOUN
fcis-15826	42	6	of	of	ADP
fcis-15826	42	7	credit	credit	NOUN
fcis-15826	42	8	evaluation	evaluation	NOUN
fcis-15826	42	9	model	model	NOUN
fcis-15826	42	10	,	,	PUNCT
fcis-15826	42	11	we	we	PRON
fcis-15826	42	12	should	should	AUX
fcis-15826	42	13	pay	pay	VERB
fcis-15826	42	14	attention	attention	NOUN
fcis-15826	42	15	to	to	ADP
fcis-15826	42	16	the	the	DET
fcis-15826	42	17	problems	problem	NOUN
fcis-15826	42	18	of	of	ADP
fcis-15826	42	19	category	category	NOUN
fcis-15826	42	20	imbalance	imbalance	NOUN
fcis-15826	42	21	and	and	CCONJ
fcis-15826	42	22	cost	cost	NOUN
fcis-15826	42	23	sensitivity	sensitivity	NOUN
fcis-15826	42	24	.	.	PUNCT
fcis-15826	43	1	however	however	ADV
fcis-15826	43	2	,	,	PUNCT
fcis-15826	43	3	in	in	ADP
fcis-15826	43	4	a	a	DET
fcis-15826	43	5	large	large	ADJ
fcis-15826	43	6	number	number	NOUN
fcis-15826	43	7	of	of	ADP
fcis-15826	43	8	credit	credit	NOUN
fcis-15826	43	9	scoring	scoring	NOUN
fcis-15826	43	10	studies	study	NOUN
fcis-15826	43	11	,	,	PUNCT
fcis-15826	43	12	only	only	ADV
fcis-15826	43	13	a	a	DET
fcis-15826	43	14	few	few	ADJ
fcis-15826	43	15	models	model	NOUN
fcis-15826	43	16	have	have	AUX
fcis-15826	43	17	considered	consider	VERB
fcis-15826	43	18	these	these	DET
fcis-15826	43	19	two	two	NUM
fcis-15826	43	20	types	type	NOUN
fcis-15826	43	21	of	of	ADP
fcis-15826	43	22	problems	problem	NOUN
fcis-15826	43	23	.	.	PUNCT
fcis-15826	44	1	among	among	ADP
fcis-15826	44	2	them	they	PRON
fcis-15826	44	3	,	,	PUNCT
fcis-15826	44	4	the	the	DET
fcis-15826	44	5	dynamic	dynamic	ADJ
fcis-15826	44	6	integration	integration	NOUN
fcis-15826	44	7	selection	selection	NOUN
fcis-15826	44	8	algorithm	algorithm	NOUN
fcis-15826	44	9	,	,	PUNCT
fcis-15826	44	10	the	the	DET
fcis-15826	44	11	large	large	ADJ
fcis-15826	44	12	class	class	NOUN
fcis-15826	44	13	is	be	AUX
fcis-15826	44	14	divided	divide	VERB
fcis-15826	44	15	into	into	ADP
fcis-15826	44	16	several	several	ADJ
fcis-15826	44	17	subsets	subset	NOUN
fcis-15826	44	18	,	,	PUNCT
fcis-15826	44	19	the	the	DET
fcis-15826	44	20	subsets	subset	NOUN
fcis-15826	44	21	and	and	CCONJ
fcis-15826	44	22	small	small	ADJ
fcis-15826	44	23	classes	class	NOUN
fcis-15826	44	24	are	be	AUX
fcis-15826	44	25	combined	combine	VERB
fcis-15826	44	26	to	to	PART
fcis-15826	44	27	form	form	VERB
fcis-15826	44	28	training	training	NOUN
fcis-15826	44	29	samples	sample	NOUN
fcis-15826	44	30	to	to	PART
fcis-15826	44	31	train	train	VERB
fcis-15826	44	32	the	the	DET
fcis-15826	44	33	base	base	NOUN
fcis-15826	44	34	classifier	classifier	NOUN
fcis-15826	44	35	,	,	PUNCT
fcis-15826	44	36	so	so	SCONJ
fcis-15826	44	37	as	as	SCONJ
fcis-15826	44	38	to	to	PART
fcis-15826	44	39	ensure	ensure	VERB
fcis-15826	44	40	that	that	SCONJ
fcis-15826	44	41	the	the	DET
fcis-15826	44	42	global	global	NOUN
fcis-15826	44	43	does	do	AUX
fcis-15826	44	44	not	not	PART
fcis-15826	44	45	lose	lose	VERB
fcis-15826	44	46	important	important	ADJ
fcis-15826	44	47	information	information	NOUN
fcis-15826	44	48	,	,	PUNCT
fcis-15826	44	49	this	this	DET
fcis-15826	44	50	method	method	NOUN
fcis-15826	44	51	is	be	AUX
fcis-15826	44	52	simpler	simple	ADJ
fcis-15826	44	53	but	but	CCONJ
fcis-15826	44	54	more	more	ADV
fcis-15826	44	55	efficient	efficient	ADJ
fcis-15826	44	56	than	than	SCONJ
fcis-15826	44	57	smote	smote	ADJ
fcis-15826	44	58	.	.	PUNCT
fcis-15826	45	1	subagging	subagge	VERB
fcis-15826	45	2	algorithm	algorithm	NOUN
fcis-15826	45	3	for	for	ADP
fcis-15826	45	4	high	high	ADJ
fcis-15826	45	5	unbalance	unbalance	NOUN
fcis-15826	45	6	rate	rate	NOUN
fcis-15826	45	7	data	data	NOUN
fcis-15826	45	8	sets	set	NOUN
fcis-15826	45	9	under	under	ADP
fcis-15826	45	10	samples	sample	NOUN
fcis-15826	45	11	the	the	DET
fcis-15826	45	12	large	large	ADJ
fcis-15826	45	13	class	class	NOUN
fcis-15826	45	14	during	during	ADP
fcis-15826	45	15	the	the	DET
fcis-15826	45	16	training	training	NOUN
fcis-15826	45	17	set	set	NOUN
fcis-15826	45	18	sampling	sampling	NOUN
fcis-15826	45	19	process	process	NOUN
fcis-15826	45	20	and	and	CCONJ
fcis-15826	45	21	combines	combine	VERB
fcis-15826	45	22	it	it	PRON
fcis-15826	45	23	with	with	ADP
fcis-15826	45	24	all	all	DET
fcis-15826	45	25	the	the	DET
fcis-15826	45	26	small	small	ADJ
fcis-15826	45	27	class	class	NOUN
fcis-15826	45	28	samples	sample	NOUN
fcis-15826	45	29	to	to	PART
fcis-15826	45	30	obtain	obtain	VERB
fcis-15826	45	31	a	a	DET
fcis-15826	45	32	balanced	balanced	ADJ
fcis-15826	45	33	training	training	NOUN
fcis-15826	45	34	data	datum	NOUN
fcis-15826	45	35	set	set	VERB
fcis-15826	45	36	to	to	PART
fcis-15826	45	37	train	train	VERB
fcis-15826	45	38	the	the	DET
fcis-15826	45	39	base	base	NOUN
fcis-15826	45	40	classifier	classifier	NOUN
fcis-15826	45	41	.	.	PUNCT
fcis-15826	46	1	similarly	similarly	ADV
fcis-15826	46	2	,	,	PUNCT
fcis-15826	46	3	multiple	multiple	ADJ
fcis-15826	46	4	differentiated	differentiate	VERB
fcis-15826	46	5	integrated	integrate	VERB
fcis-15826	46	6	molecular	molecular	ADJ
fcis-15826	46	7	models	model	NOUN
fcis-15826	46	8	are	be	AUX
fcis-15826	46	9	trained	train	VERB
fcis-15826	46	10	using	use	VERB
fcis-15826	46	11	different	different	ADJ
fcis-15826	46	12	training	training	NOUN
fcis-15826	46	13	subsets	subset	NOUN
fcis-15826	46	14	,	,	PUNCT
fcis-15826	46	15	feature	feature	NOUN
fcis-15826	46	16	sampling	sampling	NOUN
fcis-15826	46	17	and	and	CCONJ
fcis-15826	46	18	parameter	parameter	NOUN
fcis-15826	46	19	perturbation	perturbation	NOUN
fcis-15826	46	20	methods	method	NOUN
fcis-15826	46	21	.	.	PUNCT
fcis-15826	47	1	the	the	DET
fcis-15826	47	2	above	above	ADJ
fcis-15826	47	3	methods	method	NOUN
fcis-15826	47	4	all	all	PRON
fcis-15826	47	5	use	use	VERB
fcis-15826	47	6	sampling	sample	VERB
fcis-15826	47	7	methods	method	NOUN
fcis-15826	47	8	to	to	PART
fcis-15826	47	9	deal	deal	VERB
fcis-15826	47	10	with	with	ADP
fcis-15826	47	11	class	class	NOUN
fcis-15826	47	12	imbalance[11	imbalance[11	PROPN
fcis-15826	47	13	]	]	PUNCT
fcis-15826	47	14	.	.	PUNCT
fcis-15826	48	1	changing	change	VERB
fcis-15826	48	2	the	the	DET
fcis-15826	48	3	distribution	distribution	NOUN
fcis-15826	48	4	of	of	ADP
fcis-15826	48	5	training	training	NOUN
fcis-15826	48	6	data	datum	NOUN
fcis-15826	48	7	to	to	PART
fcis-15826	48	8	make	make	VERB
fcis-15826	48	9	up	up	ADP
fcis-15826	48	10	for	for	ADP
fcis-15826	48	11	the	the	DET
fcis-15826	48	12	missing	miss	VERB
fcis-15826	48	13	representative	representative	ADJ
fcis-15826	48	14	samples	sample	NOUN
fcis-15826	48	15	of	of	ADP
fcis-15826	48	16	small	small	ADJ
fcis-15826	48	17	and	and	CCONJ
fcis-15826	48	18	medium	medium	ADJ
fcis-15826	48	19	-	-	PUNCT
fcis-15826	48	20	sized	sized	ADJ
fcis-15826	48	21	classes	class	NOUN
fcis-15826	48	22	in	in	ADP
fcis-15826	48	23	model	model	NOUN
fcis-15826	48	24	training	training	NOUN
fcis-15826	48	25	is	be	AUX
fcis-15826	48	26	an	an	DET
fcis-15826	48	27	effective	effective	ADJ
fcis-15826	48	28	way	way	NOUN
fcis-15826	48	29	to	to	PART
fcis-15826	48	30	solve	solve	VERB
fcis-15826	48	31	such	such	ADJ
fcis-15826	48	32	problems	problem	NOUN
fcis-15826	48	33	.	.	PUNCT
fcis-15826	49	1	3	3	X
fcis-15826	49	2	.	.	X
fcis-15826	49	3	hbos	hbos	PROPN
fcis-15826	49	4	anomaly	anomaly	PROPN
fcis-15826	49	5	detection	detection	NOUN
fcis-15826	49	6	algorithm	algorithm	NOUN
fcis-15826	49	7	3.1	3.1	NUM
fcis-15826	49	8	.	.	PUNCT
fcis-15826	50	1	hbos	hbos	PROPN
fcis-15826	50	2	data	data	PROPN
fcis-15826	50	3	model	model	NOUN
fcis-15826	50	4	the	the	DET
fcis-15826	50	5	histogram	histogram	NOUN
fcis-15826	50	6	based	base	VERB
fcis-15826	50	7	outlier	outlier	NOUN
fcis-15826	50	8	score	score	NOUN
fcis-15826	50	9	(	(	PUNCT
fcis-15826	50	10	hbos	hbos	PROPN
fcis-15826	50	11	)	)	PUNCT
fcis-15826	50	12	was	be	AUX
fcis-15826	50	13	developed	develop	VERB
fcis-15826	50	14	by	by	ADP
fcis-15826	50	15	goldstein	goldstein	PROPN
fcis-15826	50	16	an	an	DET
fcis-15826	50	17	unsupervised	unsupervised	ADJ
fcis-15826	50	18	anomaly	anomaly	NOUN
fcis-15826	50	19	detection	detection	NOUN
fcis-15826	50	20	algorithm	algorithm	NOUN
fcis-15826	50	21	based	base	VERB
fcis-15826	50	22	on	on	ADP
fcis-15826	50	23	nonparametric	nonparametric	ADJ
fcis-15826	50	24	statistics	statistic	NOUN
fcis-15826	50	25	is	be	AUX
fcis-15826	50	26	proposed	propose	VERB
fcis-15826	50	27	by	by	ADP
fcis-15826	50	28	et	et	PROPN
fcis-15826	50	29	al	al	PROPN
fcis-15826	50	30	.	.	PROPN
fcis-15826	50	31	,	,	PUNCT
fcis-15826	50	32	which	which	PRON
fcis-15826	50	33	does	do	AUX
fcis-15826	50	34	not	not	PART
fcis-15826	50	35	rely	rely	VERB
fcis-15826	50	36	on	on	ADP
fcis-15826	50	37	hyperparameters	hyperparameter	NOUN
fcis-15826	50	38	and	and	CCONJ
fcis-15826	50	39	avoids	avoid	VERB
fcis-15826	50	40	bias	bias	NOUN
fcis-15826	50	41	caused	cause	VERB
fcis-15826	50	42	by	by	ADP
fcis-15826	50	43	improper	improper	ADJ
fcis-15826	50	44	selection	selection	NOUN
fcis-15826	50	45	of	of	ADP
fcis-15826	50	46	hyperparameters	hyperparameter	NOUN
fcis-15826	50	47	:	:	PUNCT
fcis-15826	50	48	based	base	VERB
fcis-15826	50	49	on	on	ADP
fcis-15826	50	50	the	the	DET
fcis-15826	50	51	assumption	assumption	NOUN
fcis-15826	50	52	of	of	ADP
fcis-15826	50	53	independence	independence	NOUN
fcis-15826	50	54	between	between	ADP
fcis-15826	50	55	features	feature	NOUN
fcis-15826	50	56	,	,	PUNCT
fcis-15826	50	57	the	the	DET
fcis-15826	50	58	method	method	NOUN
fcis-15826	50	59	breaks	break	VERB
fcis-15826	50	60	down	down	ADP
fcis-15826	50	61	the	the	DET
fcis-15826	50	62	processing	processing	NOUN
fcis-15826	50	63	of	of	ADP
fcis-15826	50	64	high	high	ADJ
fcis-15826	50	65	-	-	PUNCT
fcis-15826	50	66	dimensional	dimensional	ADJ
fcis-15826	50	67	data	datum	NOUN
fcis-15826	50	68	into	into	ADP
fcis-15826	50	69	multiple	multiple	ADJ
fcis-15826	50	70	single	single	ADJ
fcis-15826	50	71	-	-	PUNCT
fcis-15826	50	72	feature	feature	NOUN
fcis-15826	50	73	calculations	calculation	NOUN
fcis-15826	50	74	.	.	PUNCT
fcis-15826	51	1	in	in	ADP
fcis-15826	51	2	the	the	DET
fcis-15826	51	3	context	context	NOUN
fcis-15826	51	4	of	of	ADP
fcis-15826	51	5	internet	internet	NOUN
fcis-15826	51	6	,	,	PUNCT
fcis-15826	51	7	customer	customer	NOUN
fcis-15826	51	8	characteristics	characteristic	NOUN
fcis-15826	51	9	are	be	AUX
fcis-15826	51	10	increasing	increase	VERB
fcis-15826	51	11	.	.	PUNCT
fcis-15826	52	1	figure	figure	NOUN
fcis-15826	52	2	1	1	NUM
fcis-15826	52	3	.	.	PUNCT
fcis-15826	53	1	straining	strain	VERB
fcis-15826	53	2	hbos	hbo	NOUN
fcis-15826	53	3	model	model	NOUN
fcis-15826	53	4	put	put	VERB
fcis-15826	53	5	forward	forward	ADV
fcis-15826	53	6	higher	high	ADJ
fcis-15826	53	7	requirements	requirement	NOUN
fcis-15826	53	8	for	for	ADP
fcis-15826	53	9	data	data	NOUN
fcis-15826	53	10	processing	processing	NOUN
fcis-15826	53	11	.	.	PUNCT
fcis-15826	54	1	the	the	DET
fcis-15826	54	2	histogram	histogram	NOUN
fcis-15826	54	3	method	method	NOUN
fcis-15826	54	4	has	have	VERB
fcis-15826	54	5	good	good	ADJ
fcis-15826	54	6	adaptability	adaptability	NOUN
fcis-15826	54	7	to	to	ADP
fcis-15826	54	8	high	high	ADJ
fcis-15826	54	9	-	-	PUNCT
fcis-15826	54	10	dimensional	dimensional	ADJ
fcis-15826	54	11	data	datum	NOUN
fcis-15826	54	12	,	,	PUNCT
fcis-15826	54	13	and	and	CCONJ
fcis-15826	54	14	its	its	PRON
fcis-15826	54	15	fast	fast	ADJ
fcis-15826	54	16	calculation	calculation	NOUN
fcis-15826	54	17	performance	performance	NOUN
fcis-15826	54	18	makes	make	VERB
fcis-15826	54	19	it	it	PRON
fcis-15826	54	20	very	very	ADV
fcis-15826	54	21	efficient	efficient	ADJ
fcis-15826	54	22	to	to	PART
fcis-15826	54	23	deal	deal	VERB
fcis-15826	54	24	with	with	ADP
fcis-15826	54	25	massive	massive	ADJ
fcis-15826	54	26	high	high	ADJ
fcis-15826	54	27	-	-	PUNCT
fcis-15826	54	28	dimensional	dimensional	ADJ
fcis-15826	54	29	data	datum	NOUN
fcis-15826	54	30	.	.	PUNCT
fcis-15826	55	1	therefore	therefore	ADV
fcis-15826	55	2	,	,	PUNCT
fcis-15826	55	3	this	this	DET
fcis-15826	55	4	experiment	experiment	NOUN
fcis-15826	55	5	adopts	adopt	VERB
fcis-15826	55	6	hbos	hbo	NOUN
fcis-15826	55	7	as	as	ADP
fcis-15826	55	8	the	the	DET
fcis-15826	55	9	method	method	NOUN
fcis-15826	55	10	to	to	PART
fcis-15826	55	11	identify	identify	VERB
fcis-15826	55	12	abnormal	abnormal	ADJ
fcis-15826	55	13	customers	customer	NOUN
fcis-15826	55	14	,	,	PUNCT
fcis-15826	55	15	and	and	CCONJ
fcis-15826	55	16	its	its	PRON
fcis-15826	55	17	model	model	NOUN
fcis-15826	55	18	expression	expression	NOUN
fcis-15826	55	19	is	be	AUX
fcis-15826	55	20	as	as	SCONJ
fcis-15826	55	21	follows	follow	VERB
fcis-15826	55	22	:	:	PUNCT
fcis-15826	55	23	(	(	PUNCT
fcis-15826	55	24	1	1	X
fcis-15826	55	25	)	)	PUNCT
fcis-15826	55	26	where	where	SCONJ
fcis-15826	55	27	:p	:p	NOUN
fcis-15826	55	28	represents	represent	VERB
fcis-15826	55	29	customer	customer	NOUN
fcis-15826	55	30	characteristics	characteristic	NOUN
fcis-15826	55	31	;	;	PUNCT
fcis-15826	55	32	hbos(p	hbos(p	NOUN
fcis-15826	55	33	)	)	PUNCT
fcis-15826	55	34	anomaly	anomaly	NOUN
fcis-15826	55	35	scores	score	NOUN
fcis-15826	55	36	for	for	ADP
fcis-15826	55	37	customers	customer	NOUN
fcis-15826	55	38	;	;	PUNCT
fcis-15826	55	39	hist(p	hist(p	PROPN
fcis-15826	55	40	)	)	PUNCT
fcis-15826	55	41	is	be	AUX
fcis-15826	55	42	the	the	DET
fcis-15826	55	43	probability	probability	NOUN
fcis-15826	55	44	density	density	NOUN
fcis-15826	55	45	estimate	estimate	NOUN
fcis-15826	55	46	of	of	ADP
fcis-15826	55	47	the	the	DET
fcis-15826	55	48	customer	customer	NOUN
fcis-15826	55	49	's	's	PART
fcis-15826	55	50	i	i	NOUN
fcis-15826	55	51	-	-	PUNCT
fcis-15826	55	52	th	th	VERB
fcis-15826	55	53	feature	feature	NOUN
fcis-15826	55	54	;	;	PUNCT
fcis-15826	55	55	d	d	X
fcis-15826	55	56	is	be	AUX
fcis-15826	55	57	the	the	DET
fcis-15826	55	58	number	number	NOUN
fcis-15826	55	59	of	of	ADP
fcis-15826	55	60	customer	customer	NOUN
fcis-15826	55	61	features	feature	NOUN
fcis-15826	55	62	.	.	PUNCT
fcis-15826	56	1	hbos	hbos	PROPN
fcis-15826	56	2	constructs	construct	VERB
fcis-15826	56	3	a	a	DET
fcis-15826	56	4	univariate	univariate	ADJ
fcis-15826	56	5	histogram	histogram	NOUN
fcis-15826	56	6	for	for	ADP
fcis-15826	56	7	each	each	DET
fcis-15826	56	8	feature	feature	NOUN
fcis-15826	56	9	and	and	CCONJ
fcis-15826	56	10	standardizes	standardize	VERB
fcis-15826	56	11	it	it	PRON
fcis-15826	56	12	so	so	SCONJ
fcis-15826	56	13	that	that	SCONJ
fcis-15826	56	14	the	the	DET
fcis-15826	56	15	maximum	maximum	ADJ
fcis-15826	56	16	height	height	NOUN
fcis-15826	56	17	of	of	ADP
fcis-15826	56	18	the	the	DET
fcis-15826	56	19	histogram	histogram	NOUN
fcis-15826	56	20	is	be	AUX
fcis-15826	56	21	1	1	NUM
fcis-15826	56	22	,	,	PUNCT
fcis-15826	56	23	and	and	CCONJ
fcis-15826	56	24	the	the	DET
fcis-15826	56	25	height	height	NOUN
fcis-15826	56	26	of	of	ADP
fcis-15826	56	27	each	each	DET
fcis-15826	56	28	box	box	NOUN
fcis-15826	56	29	represents	represent	VERB
fcis-15826	56	30	the	the	DET
fcis-15826	56	31	probability	probability	NOUN
fcis-15826	56	32	density	density	NOUN
fcis-15826	56	33	estimate	estimate	NOUN
fcis-15826	56	34	,	,	PUNCT
fcis-15826	56	35	which	which	PRON
fcis-15826	56	36	is	be	AUX
fcis-15826	56	37	roughly	roughly	ADV
fcis-15826	56	38	a	a	DET
fcis-15826	56	39	"	"	PUNCT
fcis-15826	56	40	bell	bell	NOUN
fcis-15826	56	41	curve	curve	NOUN
fcis-15826	56	42	"	"	PUNCT
fcis-15826	56	43	.	.	PUNCT
fcis-15826	57	1	the	the	PRON
fcis-15826	57	2	lower	low	ADJ
fcis-15826	57	3	the	the	DET
fcis-15826	57	4	probability	probability	NOUN
fcis-15826	57	5	density	density	NOUN
fcis-15826	57	6	,	,	PUNCT
fcis-15826	57	7	the	the	DET
fcis-15826	57	8	customer	customer	NOUN
fcis-15826	57	9	's	's	PART
fcis-15826	57	10	characteristic	characteristic	ADJ
fcis-15826	57	11	value	value	NOUN
fcis-15826	57	12	deviates	deviate	VERB
fcis-15826	57	13	from	from	ADP
fcis-15826	57	14	most	most	ADJ
fcis-15826	57	15	customers	customer	NOUN
fcis-15826	57	16	,	,	PUNCT
fcis-15826	57	17	and	and	CCONJ
fcis-15826	57	18	the	the	PRON
fcis-15826	57	19	higher	high	ADJ
fcis-15826	57	20	the	the	DET
fcis-15826	57	21	anomaly	anomaly	NOUN
fcis-15826	57	22	score	score	NOUN
fcis-15826	57	23	.	.	PUNCT
fcis-15826	58	1	the	the	DET
fcis-15826	58	2	histogram	histogram	NOUN
fcis-15826	58	3	can	can	AUX
fcis-15826	58	4	reflect	reflect	VERB
fcis-15826	58	5	the	the	DET
fcis-15826	58	6	distribution	distribution	NOUN
fcis-15826	58	7	of	of	ADP
fcis-15826	58	8	a	a	DET
fcis-15826	58	9	certain	certain	ADJ
fcis-15826	58	10	feature	feature	NOUN
fcis-15826	58	11	of	of	ADP
fcis-15826	58	12	all	all	DET
fcis-15826	58	13	customers	customer	NOUN
fcis-15826	58	14	,	,	PUNCT
fcis-15826	58	15	and	and	CCONJ
fcis-15826	58	16	the	the	DET
fcis-15826	58	17	feature	feature	NOUN
fcis-15826	58	18	value	value	NOUN
fcis-15826	58	19	with	with	ADP
fcis-15826	58	20	lower	low	ADJ
fcis-15826	58	21	probability	probability	NOUN
fcis-15826	58	22	density	density	NOUN
fcis-15826	58	23	.	.	PUNCT
fcis-15826	59	1	the	the	DET
fcis-15826	59	2	more	more	ADV
fcis-15826	59	3	likely	likely	ADJ
fcis-15826	59	4	it	it	PRON
fcis-15826	59	5	is	be	AUX
fcis-15826	59	6	to	to	PART
fcis-15826	59	7	be	be	AUX
fcis-15826	59	8	abnormal	abnormal	ADJ
fcis-15826	59	9	.	.	PUNCT
fcis-15826	60	1	finally	finally	ADV
fcis-15826	60	2	,	,	PUNCT
fcis-15826	60	3	all	all	DET
fcis-15826	60	4	the	the	DET
fcis-15826	60	5	characteristics	characteristic	NOUN
fcis-15826	60	6	of	of	ADP
fcis-15826	60	7	the	the	DET
fcis-15826	60	8	customer	customer	NOUN
fcis-15826	60	9	are	be	AUX
fcis-15826	60	10	integrated	integrate	VERB
fcis-15826	60	11	to	to	PART
fcis-15826	60	12	determine	determine	VERB
fcis-15826	60	13	the	the	DET
fcis-15826	60	14	abnormal	abnormal	ADJ
fcis-15826	60	15	situation	situation	NOUN
fcis-15826	60	16	.	.	PUNCT
fcis-15826	61	1	therefore	therefore	ADV
fcis-15826	61	2	,	,	PUNCT
fcis-15826	61	3	a	a	DET
fcis-15826	61	4	set	set	NOUN
fcis-15826	61	5	of	of	ADP
fcis-15826	61	6	base	base	NOUN
fcis-15826	61	7	classifiers	classifier	NOUN
fcis-15826	61	8	is	be	AUX
fcis-15826	61	9	constructed	construct	VERB
fcis-15826	61	10	by	by	ADP
fcis-15826	61	11	means	mean	NOUN
fcis-15826	61	12	of	of	ADP
fcis-15826	61	13	isomorphic	isomorphic	ADJ
fcis-15826	61	14	classifier	classifier	NOUN
fcis-15826	61	15	generation	generation	NOUN
fcis-15826	61	16	.	.	PUNCT
fcis-15826	62	1	hbos	hbos	PROPN
fcis-15826	62	2	is	be	AUX
fcis-15826	62	3	used	use	VERB
fcis-15826	62	4	as	as	ADP
fcis-15826	62	5	the	the	DET
fcis-15826	62	6	learning	learning	NOUN
fcis-15826	62	7	algorithm	algorithm	NOUN
fcis-15826	62	8	,	,	PUNCT
fcis-15826	62	9	and	and	CCONJ
fcis-15826	62	10	a	a	DET
fcis-15826	62	11	series	series	NOUN
fcis-15826	62	12	of	of	ADP
fcis-15826	62	13	different	different	ADJ
fcis-15826	62	14	base	base	NOUN
fcis-15826	62	15	classifiers	classifier	NOUN
fcis-15826	62	16	are	be	AUX
fcis-15826	62	17	obtained	obtain	VERB
fcis-15826	62	18	by	by	ADP
fcis-15826	62	19	changing	change	VERB
fcis-15826	62	20	the	the	DET
fcis-15826	62	21	number	number	NOUN
fcis-15826	62	22	of	of	ADP
fcis-15826	62	23	parameters	parameter	NOUN
fcis-15826	62	24	,	,	PUNCT
fcis-15826	62	25	that	that	ADV
fcis-15826	62	26	is	be	AUX
fcis-15826	62	27	,	,	PUNCT
fcis-15826	62	28	boxes	box	NOUN
fcis-15826	62	29	.	.	PUNCT
fcis-15826	63	1	3.2	3.2	NUM
fcis-15826	63	2	.	.	PUNCT
fcis-15826	64	1	detection	detection	NOUN
fcis-15826	64	2	algorithm	algorithm	NOUN
fcis-15826	64	3	the	the	DET
fcis-15826	64	4	parameters	parameter	NOUN
fcis-15826	64	5	are	be	AUX
fcis-15826	64	6	random	random	ADJ
fcis-15826	64	7	integers	integer	NOUN
fcis-15826	64	8	between	between	ADP
fcis-15826	64	9	10	10	NUM
fcis-15826	64	10	and	and	CCONJ
fcis-15826	64	11	50	50	NUM
fcis-15826	64	12	,	,	PUNCT
fcis-15826	64	13	and	and	CCONJ
fcis-15826	64	14	the	the	DET
fcis-15826	64	15	set	set	NOUN
fcis-15826	64	16	of	of	ADP
fcis-15826	64	17	base	base	NOUN
fcis-15826	64	18	classifiers	classifier	NOUN
fcis-15826	64	19	c=	c=	NOUN
fcis-15826	64	20	{	{	PUNCT
fcis-15826	64	21	c1	c1	PROPN
fcis-15826	64	22	,	,	PUNCT
fcis-15826	64	23	c2	c2	PROPN
fcis-15826	64	24	,	,	PUNCT
fcis-15826	64	25	...	...	PUNCT
fcis-15826	64	26	,	,	PUNCT
fcis-15826	64	27	cn	cn	PROPN
fcis-15826	64	28	}	}	PUNCT
fcis-15826	64	29	xtrain	xtrain	PROPN
fcis-15826	65	1	i	i	PRON
fcis-15826	65	2	r	r	NOUN
fcis-15826	65	3	nm	nm	PROPN
fcis-15826	65	4	,	,	PUNCT
fcis-15826	65	5	represents	represent	VERB
fcis-15826	65	6	the	the	DET
fcis-15826	65	7	set	set	NOUN
fcis-15826	65	8	to	to	PART
fcis-15826	65	9	be	be	AUX
fcis-15826	65	10	tested	test	VERB
fcis-15826	65	11	,	,	PUNCT
fcis-15826	65	12	where	where	SCONJ
fcis-15826	65	13	each	each	DET
fcis-15826	65	14	customer	customer	NOUN
fcis-15826	65	15	has	have	VERB
fcis-15826	65	16	m	m	PROPN
fcis-15826	65	17	characteristics	characteristic	NOUN
fcis-15826	65	18	.	.	PUNCT
fcis-15826	66	1	all	all	DET
fcis-15826	66	2	base	base	NOUN
fcis-15826	66	3	classifiers	classifier	NOUN
fcis-15826	66	4	are	be	AUX
fcis-15826	66	5	trained	train	VERB
fcis-15826	66	6	under	under	ADP
fcis-15826	66	7	the	the	DET
fcis-15826	66	8	same	same	ADJ
fcis-15826	66	9	training	training	NOUN
fcis-15826	66	10	set	set	NOUN
fcis-15826	66	11	and	and	CCONJ
fcis-15826	66	12	the	the	DET
fcis-15826	66	13	abnormal	abnormal	ADJ
fcis-15826	66	14	score	score	NOUN
fcis-15826	66	15	matrix	matrix	NOUN
fcis-15826	66	16	s(xtrain	s(xtrain	NOUN
fcis-15826	66	17	)	)	PUNCT
fcis-15826	66	18	of	of	ADP
fcis-15826	66	19	training	training	NOUN
fcis-15826	66	20	set	set	NOUN
fcis-15826	66	21	xtrain	xtrain	PROPN
fcis-15826	66	22	is	be	AUX
fcis-15826	66	23	obtained	obtain	VERB
fcis-15826	66	24	.	.	PUNCT
fcis-15826	67	1	121	121	NUM
fcis-15826	67	2	(	(	PUNCT
fcis-15826	67	3	2	2	NUM
fcis-15826	67	4	)	)	PUNCT
fcis-15826	67	5	where	where	SCONJ
fcis-15826	67	6	:	:	PUNCT
fcis-15826	67	7	cj	cj	PROPN
fcis-15826	67	8	(	(	PUNCT
fcis-15826	67	9	xtrain	xtrain	PROPN
fcis-15826	67	10	)	)	PUNCT
fcis-15826	67	11	(	(	PUNCT
fcis-15826	67	12	j=	j=	NOUN
fcis-15826	67	13	1,2	1,2	NUM
fcis-15826	67	14	,	,	PUNCT
fcis-15826	67	15	...	...	PUNCT
fcis-15826	67	16	n	n	CCONJ
fcis-15826	67	17	)	)	PUNCT
fcis-15826	67	18	represents	represent	VERB
fcis-15826	67	19	the	the	DET
fcis-15826	67	20	abnormal	abnormal	ADJ
fcis-15826	67	21	score	score	NOUN
fcis-15826	67	22	vector	vector	NOUN
fcis-15826	67	23	of	of	ADP
fcis-15826	67	24	the	the	DET
fcis-15826	67	25	n	n	NOUN
fcis-15826	67	26	classifier	classifier	NOUN
fcis-15826	67	27	on	on	ADP
fcis-15826	67	28	the	the	DET
fcis-15826	67	29	training	training	NOUN
fcis-15826	67	30	set	set	NOUN
fcis-15826	67	31	,	,	PUNCT
fcis-15826	67	32	and	and	CCONJ
fcis-15826	67	33	has	have	AUX
fcis-15826	67	34	been	be	AUX
fcis-15826	67	35	standardized	standardize	VERB
fcis-15826	67	36	;	;	PUNCT
fcis-15826	67	37	si.j	si.j	NOUN
fcis-15826	67	38	represents	represent	VERB
fcis-15826	67	39	the	the	DET
fcis-15826	67	40	anomaly	anomaly	NOUN
fcis-15826	67	41	score	score	NOUN
fcis-15826	67	42	of	of	ADP
fcis-15826	67	43	the	the	DET
fcis-15826	67	44	i	i	PROPN
fcis-15826	67	45	th	th	X
fcis-15826	67	46	customer	customer	NOUN
fcis-15826	67	47	in	in	ADP
fcis-15826	67	48	the	the	DET
fcis-15826	67	49	training	training	NOUN
fcis-15826	67	50	set	set	VERB
fcis-15826	67	51	under	under	ADP
fcis-15826	67	52	the	the	DET
fcis-15826	67	53	j	j	PROPN
fcis-15826	67	54	n	n	NUM
fcis-15826	67	55	classifier	classifier	NOUN
fcis-15826	67	56	.	.	PUNCT
fcis-15826	68	1	in	in	ADP
fcis-15826	68	2	this	this	DET
fcis-15826	68	3	experiment	experiment	NOUN
fcis-15826	68	4	,	,	PUNCT
fcis-15826	68	5	customers	customer	NOUN
fcis-15826	68	6	in	in	ADP
fcis-15826	68	7	the	the	DET
fcis-15826	68	8	training	training	NOUN
fcis-15826	68	9	set	set	NOUN
fcis-15826	68	10	are	be	AUX
fcis-15826	68	11	labeled	label	VERB
fcis-15826	68	12	by	by	ADP
fcis-15826	68	13	averaging	average	VERB
fcis-15826	68	14	the	the	DET
fcis-15826	68	15	output	output	NOUN
fcis-15826	68	16	of	of	ADP
fcis-15826	68	17	all	all	DET
fcis-15826	68	18	classifiers	classifier	NOUN
fcis-15826	68	19	.	.	PUNCT
fcis-15826	69	1	the	the	DET
fcis-15826	69	2	false	false	ADJ
fcis-15826	69	3	label	label	NOUN
fcis-15826	69	4	of	of	ADP
fcis-15826	69	5	the	the	DET
fcis-15826	69	6	customer	customer	NOUN
fcis-15826	69	7	in	in	ADP
fcis-15826	69	8	the	the	DET
fcis-15826	69	9	training	training	NOUN
fcis-15826	69	10	set	set	NOUN
fcis-15826	69	11	can	can	AUX
fcis-15826	69	12	be	be	AUX
fcis-15826	69	13	represented	represent	VERB
fcis-15826	69	14	as	as	ADP
fcis-15826	69	15	(	(	PUNCT
fcis-15826	69	16	3	3	NUM
fcis-15826	69	17	)	)	PUNCT
fcis-15826	69	18	(	(	PUNCT
fcis-15826	69	19	4	4	X
fcis-15826	69	20	)	)	PUNCT
fcis-15826	69	21	false	false	ADJ
fcis-15826	69	22	label	label	NOUN
fcis-15826	69	23	representing	represent	VERB
fcis-15826	69	24	the	the	DET
fcis-15826	69	25	i	i	PROPN
fcis-15826	69	26	-	-	PUNCT
fcis-15826	69	27	th	th	X
fcis-15826	69	28	customer	customer	NOUN
fcis-15826	69	29	;	;	PUNCT
fcis-15826	69	30	s	s	X
fcis-15826	69	31	represents	represent	VERB
fcis-15826	69	32	the	the	DET
fcis-15826	69	33	exception	exception	NOUN
fcis-15826	69	34	of	of	ADP
fcis-15826	69	35	the	the	DET
fcis-15826	69	36	ith	ith	PROPN
fcis-15826	69	37	guest	guest	NOUN
fcis-15826	69	38	under	under	ADP
fcis-15826	69	39	the	the	DET
fcis-15826	69	40	jth	jth	PROPN
fcis-15826	69	41	classifier	classifier	NOUN
fcis-15826	69	42	where	where	SCONJ
fcis-15826	69	43	:	:	PUNCT
fcis-15826	69	44	s:=	s:=	PROPN
fcis-15826	69	45	score	score	NOUN
fcis-15826	69	46	.	.	PUNCT
fcis-15826	70	1	3.3	3.3	NUM
fcis-15826	70	2	.	.	PUNCT
fcis-15826	70	3	results	result	NOUN
fcis-15826	70	4	and	and	CCONJ
fcis-15826	70	5	analysis	analysis	NOUN
fcis-15826	70	6	in	in	ADP
fcis-15826	70	7	this	this	DET
fcis-15826	70	8	experiment	experiment	NOUN
fcis-15826	70	9	,	,	PUNCT
fcis-15826	70	10	histogram	histogram	NOUN
fcis-15826	70	11	based	base	VERB
fcis-15826	70	12	outlier	outlier	NOUN
fcis-15826	70	13	score	score	NOUN
fcis-15826	70	14	(	(	PUNCT
fcis-15826	70	15	hbos	hbos	PROPN
fcis-15826	70	16	)	)	PUNCT
fcis-15826	70	17	,	,	PUNCT
fcis-15826	70	18	k	k	X
fcis-15826	70	19	-	-	PUNCT
fcis-15826	70	20	nearest	near	ADJ
fcis-15826	70	21	neighbor	neighbor	NOUN
fcis-15826	70	22	(	(	PUNCT
fcis-15826	70	23	knn	knn	PROPN
fcis-15826	70	24	)	)	PUNCT
fcis-15826	70	25	,	,	PUNCT
fcis-15826	70	26	and	and	CCONJ
fcis-15826	70	27	one	one	NUM
fcis-15826	70	28	-	-	PUNCT
fcis-15826	70	29	class	class	NOUN
fcis-15826	70	30	support	support	NOUN
fcis-15826	70	31	vector	vector	NOUN
fcis-15826	70	32	machine	machine	NOUN
fcis-15826	70	33	(	(	PUNCT
fcis-15826	70	34	one	one	NUM
fcis-15826	70	35	-	-	PUNCT
fcis-15826	70	36	class	class	NOUN
fcis-15826	70	37	support	support	NOUN
fcis-15826	70	38	vector	vector	NOUN
fcis-15826	70	39	machine	machine	NOUN
fcis-15826	70	40	)	)	PUNCT
fcis-15826	70	41	are	be	AUX
fcis-15826	70	42	selected	select	VERB
fcis-15826	70	43	.	.	PUNCT
fcis-15826	71	1	ocsvm	ocsvm	ADJ
fcis-15826	71	2	,	,	PUNCT
fcis-15826	71	3	local	local	ADJ
fcis-15826	71	4	outlier	outlier	NOUN
fcis-15826	71	5	factor	factor	NOUN
fcis-15826	71	6	(	(	PUNCT
fcis-15826	71	7	lof	lof	PROPN
fcis-15826	71	8	)	)	PUNCT
fcis-15826	71	9	,	,	PUNCT
fcis-15826	71	10	principal	principal	ADJ
fcis-15826	71	11	component	component	NOUN
fcis-15826	71	12	analysis	analysis	NOUN
fcis-15826	71	13	(	(	PUNCT
fcis-15826	71	14	pca	pca	NOUN
fcis-15826	71	15	)	)	PUNCT
fcis-15826	71	16	,	,	PUNCT
fcis-15826	71	17	isolation	isolation	NOUN
fcis-15826	71	18	forest	forest	NOUN
fcis-15826	71	19	(	(	PUNCT
fcis-15826	71	20	isolation	isolation	NOUN
fcis-15826	71	21	forest	forest	NOUN
fcis-15826	71	22	)	)	PUNCT
fcis-15826	72	1	these	these	DET
fcis-15826	72	2	six	six	NUM
fcis-15826	72	3	classifiers	classifier	NOUN
fcis-15826	72	4	,	,	PUNCT
fcis-15826	72	5	which	which	PRON
fcis-15826	72	6	are	be	AUX
fcis-15826	72	7	widely	widely	ADV
fcis-15826	72	8	used	use	VERB
fcis-15826	72	9	in	in	ADP
fcis-15826	72	10	the	the	DET
fcis-15826	72	11	field	field	NOUN
fcis-15826	72	12	of	of	ADP
fcis-15826	72	13	anomaly	anomaly	NOUN
fcis-15826	72	14	detection	detection	NOUN
fcis-15826	72	15	and	and	CCONJ
fcis-15826	72	16	have	have	VERB
fcis-15826	72	17	good	good	ADJ
fcis-15826	72	18	results	result	NOUN
fcis-15826	72	19	,	,	PUNCT
fcis-15826	72	20	are	be	AUX
fcis-15826	72	21	compared	compare	VERB
fcis-15826	72	22	.	.	PUNCT
fcis-15826	73	1	the	the	DET
fcis-15826	73	2	important	important	ADJ
fcis-15826	73	3	parameter	parameter	NOUN
fcis-15826	73	4	settings	setting	NOUN
fcis-15826	73	5	of	of	ADP
fcis-15826	73	6	the	the	DET
fcis-15826	73	7	algorithm	algorithm	NOUN
fcis-15826	73	8	are	be	AUX
fcis-15826	73	9	shown	show	VERB
fcis-15826	73	10	in	in	ADP
fcis-15826	73	11	table	table	NOUN
fcis-15826	73	12	1	1	NUM
fcis-15826	73	13	,	,	PUNCT
fcis-15826	73	14	and	and	CCONJ
fcis-15826	73	15	the	the	DET
fcis-15826	73	16	default	default	NOUN
fcis-15826	73	17	parameters	parameter	NOUN
fcis-15826	73	18	in	in	ADP
fcis-15826	73	19	sklearn	sklearn	ADJ
fcis-15826	73	20	library	library	NOUN
fcis-15826	73	21	of	of	ADP
fcis-15826	73	22	python3.8	python3.8	PROPN
fcis-15826	73	23	are	be	AUX
fcis-15826	73	24	used	use	VERB
fcis-15826	73	25	for	for	ADP
fcis-15826	73	26	other	other	ADJ
fcis-15826	73	27	parameters	parameter	NOUN
fcis-15826	73	28	.	.	PUNCT
fcis-15826	74	1	table	table	NOUN
fcis-15826	74	2	1	1	NUM
fcis-15826	74	3	.	.	PUNCT
fcis-15826	74	4	model	model	PROPN
fcis-15826	74	5	important	important	ADJ
fcis-15826	74	6	parameter	parameter	PROPN
fcis-15826	74	7	method	method	PROPN
fcis-15826	74	8	data	data	PROPN
fcis-15826	74	9	hbos	hbos	PROPN
fcis-15826	74	10	n	n	CCONJ
fcis-15826	74	11	-	-	PUNCT
fcis-15826	74	12	bis=10	bis=10	PROPN
fcis-15826	74	13	,	,	PUNCT
fcis-15826	74	14	contamination=	contamination=	NUM
fcis-15826	74	15	0.01	0.01	NUM
fcis-15826	74	16	knn	knn	PROPN
fcis-15826	74	17	n	n	CCONJ
fcis-15826	74	18	-	-	PUNCT
fcis-15826	74	19	neighbors=5	neighbors=5	PROPN
fcis-15826	74	20	,	,	PUNCT
fcis-15826	74	21	contamination	contamination	NOUN
fcis-15826	74	22	=	=	NOUN
fcis-15826	74	23	0.01	0.01	NUM
fcis-15826	74	24	ocsvm	ocsvm	ADJ
fcis-15826	74	25	kernel=	kernel=	NUM
fcis-15826	74	26	‘	'	PUNCT
fcis-15826	74	27	rbf	rbf	PROPN
fcis-15826	74	28	’	'	PUNCT
fcis-15826	74	29	,	,	PUNCT
fcis-15826	74	30	nu=0.5contamination=0.01	nu=0.5contamination=0.01	PROPN
fcis-15826	74	31	lof	lof	PROPN
fcis-15826	74	32	n	n	CCONJ
fcis-15826	74	33	-	-	PUNCT
fcis-15826	74	34	neighbors=20	neighbors=20	NOUN
fcis-15826	74	35	,	,	PUNCT
fcis-15826	74	36	contamination	contamination	NOUN
fcis-15826	74	37	=	=	SYM
fcis-15826	74	38	0.01	0.01	NUM
fcis-15826	74	39	pca	pca	NOUN
fcis-15826	74	40	contamination	contamination	NOUN
fcis-15826	74	41	=	=	PUNCT
fcis-15826	74	42	0.01	0.01	NUM
fcis-15826	74	43	iforest	iforest	X
fcis-15826	74	44	n	n	CCONJ
fcis-15826	74	45	-	-	PUNCT
fcis-15826	74	46	neighbors=100	neighbors=100	ADJ
fcis-15826	74	47	,	,	PUNCT
fcis-15826	74	48	contamination	contamination	NOUN
fcis-15826	74	49	=	=	NOUN
fcis-15826	74	50	0.01	0.01	NUM
fcis-15826	74	51	considering	consider	VERB
fcis-15826	74	52	the	the	DET
fcis-15826	74	53	impact	impact	NOUN
fcis-15826	74	54	of	of	ADP
fcis-15826	74	55	the	the	DET
fcis-15826	74	56	number	number	NOUN
fcis-15826	74	57	of	of	ADP
fcis-15826	74	58	base	base	NOUN
fcis-15826	74	59	classifiers	classifier	NOUN
fcis-15826	74	60	η	η	PROPN
fcis-15826	74	61	in	in	ADP
fcis-15826	74	62	des	des	PROPN
fcis-15826	74	63	-	-	PROPN
fcis-15826	74	64	hbos	hbos	PROPN
fcis-15826	74	65	on	on	ADP
fcis-15826	74	66	model	model	NOUN
fcis-15826	74	67	performance	performance	NOUN
fcis-15826	74	68	,	,	PUNCT
fcis-15826	74	69	too	too	ADV
fcis-15826	74	70	large	large	ADJ
fcis-15826	74	71	or	or	CCONJ
fcis-15826	74	72	too	too	ADV
fcis-15826	74	73	small	small	ADJ
fcis-15826	74	74	will	will	AUX
fcis-15826	74	75	affect	affect	VERB
fcis-15826	74	76	model	model	NOUN
fcis-15826	74	77	performance	performance	NOUN
fcis-15826	74	78	.	.	PUNCT
fcis-15826	75	1	therefore	therefore	ADV
fcis-15826	75	2	,	,	PUNCT
fcis-15826	75	3	in	in	ADP
fcis-15826	75	4	this	this	DET
fcis-15826	75	5	experiment	experiment	NOUN
fcis-15826	75	6	,	,	PUNCT
fcis-15826	75	7	η	η	PROPN
fcis-15826	75	8	is	be	AUX
fcis-15826	75	9	set	set	VERB
fcis-15826	75	10	to	to	ADP
fcis-15826	75	11	10,20,30,40,50	10,20,30,40,50	NUM
fcis-15826	75	12	to	to	PART
fcis-15826	75	13	explore	explore	VERB
fcis-15826	75	14	the	the	DET
fcis-15826	75	15	impact	impact	NOUN
fcis-15826	75	16	of	of	ADP
fcis-15826	75	17	η	η	PROPN
fcis-15826	75	18	on	on	ADP
fcis-15826	75	19	model	model	NOUN
fcis-15826	75	20	performance	performance	NOUN
fcis-15826	75	21	.	.	PUNCT
fcis-15826	76	1	recall	recall	NOUN
fcis-15826	76	2	and	and	CCONJ
fcis-15826	76	3	auc	auc	NOUN
fcis-15826	76	4	are	be	AUX
fcis-15826	76	5	the	the	DET
fcis-15826	76	6	average	average	ADJ
fcis-15826	76	7	values	value	NOUN
fcis-15826	76	8	of	of	ADP
fcis-15826	76	9	deshbos	deshbo	NOUN
fcis-15826	76	10	over	over	ADP
fcis-15826	76	11	15	15	NUM
fcis-15826	76	12	test	test	NOUN
fcis-15826	76	13	sets	set	NOUN
fcis-15826	76	14	:	:	PUNCT
fcis-15826	76	15	figure	figure	NOUN
fcis-15826	76	16	2	2	NUM
fcis-15826	76	17	.	.	PUNCT
fcis-15826	76	18	detect	detect	VERB
fcis-15826	76	19	the	the	DET
fcis-15826	76	20	change	change	NOUN
fcis-15826	76	21	map	map	NOUN
fcis-15826	76	22	to	to	PART
fcis-15826	76	23	solve	solve	VERB
fcis-15826	76	24	the	the	DET
fcis-15826	76	25	problem	problem	NOUN
fcis-15826	76	26	of	of	ADP
fcis-15826	76	27	credit	credit	NOUN
fcis-15826	76	28	card	card	NOUN
fcis-15826	76	29	fraud	fraud	NOUN
fcis-15826	76	30	detection	detection	NOUN
fcis-15826	76	31	with	with	ADP
fcis-15826	76	32	missing	miss	VERB
fcis-15826	76	33	data	datum	NOUN
fcis-15826	76	34	set	set	VERB
fcis-15826	76	35	labels	label	NOUN
fcis-15826	76	36	and	and	CCONJ
fcis-15826	76	37	unbalanced	unbalanced	ADJ
fcis-15826	76	38	category	category	NOUN
fcis-15826	76	39	distribution	distribution	NOUN
fcis-15826	76	40	,	,	PUNCT
fcis-15826	76	41	this	this	DET
fcis-15826	76	42	paper	paper	NOUN
fcis-15826	76	43	proposes	propose	VERB
fcis-15826	76	44	a	a	DET
fcis-15826	76	45	credit	credit	NOUN
fcis-15826	76	46	card	card	NOUN
fcis-15826	76	47	approval	approval	NOUN
fcis-15826	76	48	anomaly	anomaly	NOUN
fcis-15826	76	49	detection	detection	NOUN
fcis-15826	76	50	model	model	NOUN
fcis-15826	76	51	based	base	VERB
fcis-15826	76	52	on	on	ADP
fcis-15826	76	53	dynamic	dynamic	ADJ
fcis-15826	76	54	integration	integration	NOUN
fcis-15826	76	55	selection	selection	NOUN
fcis-15826	76	56	algorithm	algorithm	NOUN
fcis-15826	76	57	.	.	PUNCT
fcis-15826	77	1	in	in	ADP
fcis-15826	77	2	order	order	NOUN
fcis-15826	77	3	to	to	PART
fcis-15826	77	4	solve	solve	VERB
fcis-15826	77	5	the	the	DET
fcis-15826	77	6	problem	problem	NOUN
fcis-15826	77	7	of	of	ADP
fcis-15826	77	8	missing	miss	VERB
fcis-15826	77	9	labels	label	NOUN
fcis-15826	77	10	,	,	PUNCT
fcis-15826	77	11	the	the	DET
fcis-15826	77	12	unsupervised	unsupervised	ADJ
fcis-15826	77	13	anomaly	anomaly	NOUN
fcis-15826	77	14	detection	detection	NOUN
fcis-15826	77	15	algorithm	algorithm	NOUN
fcis-15826	77	16	was	be	AUX
fcis-15826	77	17	used	use	VERB
fcis-15826	77	18	to	to	PART
fcis-15826	77	19	construct	construct	VERB
fcis-15826	77	20	false	false	ADJ
fcis-15826	77	21	labels	label	NOUN
fcis-15826	77	22	for	for	ADP
fcis-15826	77	23	the	the	DET
fcis-15826	77	24	customers	customer	NOUN
fcis-15826	77	25	in	in	ADP
fcis-15826	77	26	the	the	DET
fcis-15826	77	27	training	training	NOUN
fcis-15826	77	28	set[12	set[12	NOUN
fcis-15826	77	29	]	]	PUNCT
fcis-15826	77	30	.	.	PUNCT
fcis-15826	78	1	in	in	SCONJ
fcis-15826	78	2	order	order	NOUN
fcis-15826	78	3	to	to	PART
fcis-15826	78	4	alleviate	alleviate	VERB
fcis-15826	78	5	the	the	DET
fcis-15826	78	6	problem	problem	NOUN
fcis-15826	78	7	of	of	ADP
fcis-15826	78	8	unbalanced	unbalanced	ADJ
fcis-15826	78	9	category	category	NOUN
fcis-15826	78	10	distribution	distribution	NOUN
fcis-15826	78	11	,	,	PUNCT
fcis-15826	78	12	cr	cr	NOUN
fcis-15826	78	13	of	of	ADP
fcis-15826	78	14	the	the	DET
fcis-15826	78	15	customers	customer	NOUN
fcis-15826	78	16	under	under	ADP
fcis-15826	78	17	test	test	NOUN
fcis-15826	78	18	was	be	AUX
fcis-15826	78	19	determined	determine	VERB
fcis-15826	78	20	and	and	CCONJ
fcis-15826	78	21	the	the	DET
fcis-15826	78	22	performance	performance	NOUN
fcis-15826	78	23	of	of	ADP
fcis-15826	78	24	the	the	DET
fcis-15826	78	25	classifier	classifier	NOUN
fcis-15826	78	26	in	in	ADP
fcis-15826	78	27	the	the	DET
fcis-15826	78	28	classifier	classifier	NOUN
fcis-15826	78	29	set	set	NOUN
fcis-15826	78	30	was	be	AUX
fcis-15826	78	31	evaluated	evaluate	VERB
fcis-15826	78	32	on	on	ADP
fcis-15826	78	33	behalf	behalf	NOUN
fcis-15826	78	34	of	of	ADP
fcis-15826	78	35	the	the	DET
fcis-15826	78	36	customers	customer	NOUN
fcis-15826	78	37	under	under	ADP
fcis-15826	78	38	test	test	NOUN
fcis-15826	78	39	according	accord	VERB
fcis-15826	78	40	to	to	ADP
fcis-15826	78	41	pearson	pearson	PROPN
fcis-15826	78	42	correlation	correlation	NOUN
fcis-15826	78	43	coefficient	coefficient	NOUN
fcis-15826	78	44	.	.	PUNCT
fcis-15826	79	1	a	a	DET
fcis-15826	79	2	strong	strong	ADJ
fcis-15826	79	3	classifier	classifier	NOUN
fcis-15826	79	4	is	be	AUX
fcis-15826	79	5	obtained	obtain	VERB
fcis-15826	79	6	by	by	ADP
fcis-15826	79	7	fusing	fuse	VERB
fcis-15826	79	8	several	several	ADJ
fcis-15826	79	9	classifiers	classifier	NOUN
fcis-15826	79	10	with	with	ADP
fcis-15826	79	11	excellent	excellent	ADJ
fcis-15826	79	12	classification	classification	NOUN
fcis-15826	79	13	performance	performance	NOUN
fcis-15826	79	14	.	.	PUNCT
fcis-15826	80	1	4	4	X
fcis-15826	80	2	.	.	X
fcis-15826	80	3	conclusion	conclusion	NOUN
fcis-15826	80	4	in	in	ADP
fcis-15826	80	5	financial	financial	ADJ
fcis-15826	80	6	regulation	regulation	NOUN
fcis-15826	80	7	,	,	PUNCT
fcis-15826	80	8	using	use	VERB
fcis-15826	80	9	histogram	histogram	NOUN
fcis-15826	80	10	algorithm	algorithm	NOUN
fcis-15826	80	11	to	to	PART
fcis-15826	80	12	detect	detect	VERB
fcis-15826	80	13	credit	credit	NOUN
fcis-15826	80	14	card	card	NOUN
fcis-15826	80	15	anomalies	anomaly	NOUN
fcis-15826	80	16	is	be	AUX
fcis-15826	80	17	a	a	DET
fcis-15826	80	18	common	common	ADJ
fcis-15826	80	19	method	method	NOUN
fcis-15826	80	20	.	.	PUNCT
fcis-15826	81	1	a	a	DET
fcis-15826	81	2	histogram	histogram	NOUN
fcis-15826	81	3	is	be	AUX
fcis-15826	81	4	a	a	DET
fcis-15826	81	5	statistical	statistical	ADJ
fcis-15826	81	6	chart	chart	NOUN
fcis-15826	81	7	used	use	VERB
fcis-15826	81	8	to	to	PART
fcis-15826	81	9	show	show	VERB
fcis-15826	81	10	the	the	DET
fcis-15826	81	11	distribution	distribution	NOUN
fcis-15826	81	12	of	of	ADP
fcis-15826	81	13	data	datum	NOUN
fcis-15826	81	14	.	.	PUNCT
fcis-15826	82	1	for	for	ADP
fcis-15826	82	2	credit	credit	NOUN
fcis-15826	82	3	card	card	NOUN
fcis-15826	82	4	transaction	transaction	NOUN
fcis-15826	82	5	data	datum	NOUN
fcis-15826	82	6	,	,	PUNCT
fcis-15826	82	7	histograms	histogram	NOUN
fcis-15826	82	8	can	can	AUX
fcis-15826	82	9	be	be	AUX
fcis-15826	82	10	used	use	VERB
fcis-15826	82	11	to	to	PART
fcis-15826	82	12	analyze	analyze	VERB
fcis-15826	82	13	the	the	DET
fcis-15826	82	14	distribution	distribution	NOUN
fcis-15826	82	15	of	of	ADP
fcis-15826	82	16	transaction	transaction	NOUN
fcis-15826	82	17	amounts	amount	NOUN
fcis-15826	82	18	.	.	PUNCT
fcis-15826	83	1	the	the	DET
fcis-15826	83	2	steps	step	NOUN
fcis-15826	83	3	to	to	PART
fcis-15826	83	4	detect	detect	VERB
fcis-15826	83	5	credit	credit	NOUN
fcis-15826	83	6	card	card	NOUN
fcis-15826	83	7	anomalies	anomaly	NOUN
fcis-15826	83	8	using	use	VERB
fcis-15826	83	9	the	the	DET
fcis-15826	83	10	histogram	histogram	NOUN
fcis-15826	83	11	algorithm	algorithm	NOUN
fcis-15826	83	12	are	be	AUX
fcis-15826	83	13	as	as	SCONJ
fcis-15826	83	14	follows	follow	VERB
fcis-15826	83	15	:	:	PUNCT
fcis-15826	83	16	1	1	X
fcis-15826	83	17	.	.	X
fcis-15826	83	18	collect	collect	VERB
fcis-15826	83	19	credit	credit	NOUN
fcis-15826	83	20	card	card	NOUN
fcis-15826	83	21	transaction	transaction	NOUN
fcis-15826	83	22	data	datum	NOUN
fcis-15826	83	23	:	:	PUNCT
fcis-15826	83	24	collect	collect	VERB
fcis-15826	83	25	normal	normal	ADJ
fcis-15826	83	26	credit	credit	NOUN
fcis-15826	83	27	card	card	NOUN
fcis-15826	83	28	transaction	transaction	NOUN
fcis-15826	83	29	data	datum	NOUN
fcis-15826	83	30	,	,	PUNCT
fcis-15826	83	31	including	include	VERB
fcis-15826	83	32	transaction	transaction	NOUN
fcis-15826	83	33	amount	amount	NOUN
fcis-15826	83	34	,	,	PUNCT
fcis-15826	83	35	transaction	transaction	NOUN
fcis-15826	83	36	time	time	NOUN
fcis-15826	83	37	and	and	CCONJ
fcis-15826	83	38	other	other	ADJ
fcis-15826	83	39	information	information	NOUN
fcis-15826	83	40	.	.	PUNCT
fcis-15826	84	1	2	2	X
fcis-15826	84	2	.	.	X
fcis-15826	84	3	construct	construct	VERB
fcis-15826	84	4	histogram	histogram	NOUN
fcis-15826	84	5	:	:	PUNCT
fcis-15826	84	6	according	accord	VERB
fcis-15826	84	7	to	to	ADP
fcis-15826	84	8	the	the	DET
fcis-15826	84	9	collected	collect	VERB
fcis-15826	84	10	normal	normal	ADJ
fcis-15826	84	11	transaction	transaction	NOUN
fcis-15826	84	12	data	datum	NOUN
fcis-15826	84	13	,	,	PUNCT
fcis-15826	84	14	the	the	DET
fcis-15826	84	15	transaction	transaction	NOUN
fcis-15826	84	16	amount	amount	NOUN
fcis-15826	84	17	is	be	AUX
fcis-15826	84	18	grouped	group	VERB
fcis-15826	84	19	,	,	PUNCT
fcis-15826	84	20	and	and	CCONJ
fcis-15826	84	21	then	then	ADV
fcis-15826	84	22	the	the	DET
fcis-15826	84	23	number	number	NOUN
fcis-15826	84	24	of	of	ADP
fcis-15826	84	25	transactions	transaction	NOUN
fcis-15826	84	26	within	within	ADP
fcis-15826	84	27	each	each	DET
fcis-15826	84	28	amount	amount	NOUN
fcis-15826	84	29	range	range	NOUN
fcis-15826	84	30	is	be	AUX
fcis-15826	84	31	counted	count	VERB
fcis-15826	84	32	.	.	PUNCT
fcis-15826	85	1	according	accord	VERB
fcis-15826	85	2	to	to	ADP
fcis-15826	85	3	the	the	DET
fcis-15826	85	4	statistical	statistical	ADJ
fcis-15826	85	5	results	result	NOUN
fcis-15826	85	6	,	,	PUNCT
fcis-15826	85	7	the	the	DET
fcis-15826	85	8	histogram	histogram	NOUN
fcis-15826	85	9	is	be	AUX
fcis-15826	85	10	constructed	construct	VERB
fcis-15826	85	11	.	.	PUNCT
fcis-15826	86	1	3	3	X
fcis-15826	86	2	.	.	X
fcis-15826	86	3	detect	detect	VERB
fcis-15826	86	4	abnormal	abnormal	ADJ
fcis-15826	86	5	transactions	transaction	NOUN
fcis-15826	86	6	:	:	PUNCT
fcis-15826	86	7	for	for	ADP
fcis-15826	86	8	new	new	ADJ
fcis-15826	86	9	credit	credit	NOUN
fcis-15826	86	10	card	card	NOUN
fcis-15826	86	11	transaction	transaction	NOUN
fcis-15826	86	12	data	datum	NOUN
fcis-15826	86	13	,	,	PUNCT
fcis-15826	86	14	compare	compare	VERB
fcis-15826	86	15	the	the	DET
fcis-15826	86	16	transaction	transaction	NOUN
fcis-15826	86	17	amount	amount	NOUN
fcis-15826	86	18	to	to	ADP
fcis-15826	86	19	the	the	DET
fcis-15826	86	20	histogram	histogram	NOUN
fcis-15826	86	21	.	.	PUNCT
fcis-15826	87	1	if	if	SCONJ
fcis-15826	87	2	the	the	DET
fcis-15826	87	3	transaction	transaction	NOUN
fcis-15826	87	4	amount	amount	NOUN
fcis-15826	87	5	falls	fall	VERB
fcis-15826	87	6	in	in	ADP
fcis-15826	87	7	the	the	DET
fcis-15826	87	8	extreme	extreme	ADJ
fcis-15826	87	9	range	range	NOUN
fcis-15826	87	10	of	of	ADP
fcis-15826	87	11	the	the	DET
fcis-15826	87	12	histogram	histogram	NOUN
fcis-15826	87	13	,	,	PUNCT
fcis-15826	87	14	and	and	CCONJ
fcis-15826	87	15	the	the	DET
fcis-15826	87	16	distribution	distribution	NOUN
fcis-15826	87	17	difference	difference	NOUN
fcis-15826	87	18	from	from	ADP
fcis-15826	87	19	the	the	DET
fcis-15826	87	20	normal	normal	ADJ
fcis-15826	87	21	transaction	transaction	NOUN
fcis-15826	87	22	data	datum	NOUN
fcis-15826	87	23	is	be	AUX
fcis-15826	87	24	large	large	ADJ
fcis-15826	87	25	,	,	PUNCT
fcis-15826	87	26	it	it	PRON
fcis-15826	87	27	can	can	AUX
fcis-15826	87	28	be	be	AUX
fcis-15826	87	29	judged	judge	VERB
fcis-15826	87	30	as	as	ADP
fcis-15826	87	31	an	an	DET
fcis-15826	87	32	abnormal	abnormal	ADJ
fcis-15826	87	33	transaction	transaction	NOUN
fcis-15826	87	34	.	.	PUNCT
fcis-15826	88	1	4	4	X
fcis-15826	88	2	.	.	X
fcis-15826	88	3	additional	additional	ADJ
fcis-15826	88	4	rules	rule	NOUN
fcis-15826	88	5	:	:	PUNCT
fcis-15826	88	6	in	in	ADP
fcis-15826	88	7	addition	addition	NOUN
fcis-15826	88	8	to	to	ADP
fcis-15826	88	9	histogram	histogram	NOUN
fcis-15826	88	10	algorithms	algorithm	NOUN
fcis-15826	88	11	,	,	PUNCT
fcis-15826	88	12	financial	financial	ADJ
fcis-15826	88	13	regulators	regulator	NOUN
fcis-15826	88	14	can	can	AUX
fcis-15826	88	15	also	also	ADV
fcis-15826	88	16	develop	develop	VERB
fcis-15826	88	17	additional	additional	ADJ
fcis-15826	88	18	rules	rule	NOUN
fcis-15826	88	19	to	to	PART
fcis-15826	88	20	detect	detect	VERB
fcis-15826	88	21	credit	credit	NOUN
fcis-15826	88	22	card	card	NOUN
fcis-15826	88	23	anomalies	anomaly	NOUN
fcis-15826	88	24	.	.	PUNCT
fcis-15826	89	1	for	for	ADP
fcis-15826	89	2	example	example	NOUN
fcis-15826	89	3	,	,	PUNCT
fcis-15826	89	4	if	if	SCONJ
fcis-15826	89	5	the	the	DET
fcis-15826	89	6	transaction	transaction	NOUN
fcis-15826	89	7	amount	amount	NOUN
fcis-15826	89	8	exceeds	exceed	VERB
fcis-15826	89	9	a	a	DET
fcis-15826	89	10	certain	certain	ADJ
fcis-15826	89	11	amount	amount	NOUN
fcis-15826	89	12	threshold	threshold	NOUN
fcis-15826	89	13	,	,	PUNCT
fcis-15826	89	14	or	or	CCONJ
fcis-15826	89	15	is	be	AUX
fcis-15826	89	16	contrary	contrary	ADJ
fcis-15826	89	17	to	to	ADP
fcis-15826	89	18	common	common	ADJ
fcis-15826	89	19	consumption	consumption	NOUN
fcis-15826	89	20	patterns	pattern	NOUN
fcis-15826	89	21	,	,	PUNCT
fcis-15826	89	22	it	it	PRON
fcis-15826	89	23	can	can	AUX
fcis-15826	89	24	also	also	ADV
fcis-15826	89	25	be	be	AUX
fcis-15826	89	26	judged	judge	VERB
fcis-15826	89	27	as	as	ADP
fcis-15826	89	28	an	an	DET
fcis-15826	89	29	abnormal	abnormal	ADJ
fcis-15826	89	30	transaction	transaction	NOUN
fcis-15826	89	31	.	.	PUNCT
fcis-15826	90	1	by	by	ADP
fcis-15826	90	2	using	use	VERB
fcis-15826	90	3	histogram	histogram	NOUN
fcis-15826	90	4	algorithms	algorithm	NOUN
fcis-15826	90	5	to	to	PART
fcis-15826	90	6	detect	detect	VERB
fcis-15826	90	7	credit	credit	NOUN
fcis-15826	90	8	card	card	NOUN
fcis-15826	90	9	anomalies	anomaly	NOUN
fcis-15826	90	10	,	,	PUNCT
fcis-15826	90	11	financial	financial	ADJ
fcis-15826	90	12	regulators	regulator	NOUN
fcis-15826	90	13	can	can	AUX
fcis-15826	90	14	more	more	ADV
fcis-15826	90	15	accurately	accurately	ADV
fcis-15826	90	16	monitor	monitor	VERB
fcis-15826	90	17	and	and	CCONJ
fcis-15826	90	18	prevent	prevent	VERB
fcis-15826	90	19	credit	credit	NOUN
fcis-15826	90	20	card	card	NOUN
fcis-15826	90	21	fraud	fraud	NOUN
fcis-15826	90	22	and	and	CCONJ
fcis-15826	90	23	protect	protect	VERB
fcis-15826	90	24	consumers	consumer	NOUN
fcis-15826	90	25	'	'	PART
fcis-15826	90	26	property	property	NOUN
fcis-15826	90	27	safety	safety	NOUN
fcis-15826	90	28	.	.	PUNCT
fcis-15826	91	1	at	at	ADP
fcis-15826	91	2	the	the	DET
fcis-15826	91	3	same	same	ADJ
fcis-15826	91	4	time	time	NOUN
fcis-15826	91	5	,	,	PUNCT
fcis-15826	91	6	financial	financial	ADJ
fcis-15826	91	7	institutions	institution	NOUN
fcis-15826	91	8	can	can	AUX
fcis-15826	91	9	also	also	ADV
fcis-15826	91	10	use	use	VERB
fcis-15826	91	11	this	this	DET
fcis-15826	91	12	abnormal	abnormal	ADJ
fcis-15826	91	13	transaction	transaction	NOUN
fcis-15826	91	14	data	datum	NOUN
fcis-15826	91	15	to	to	PART
fcis-15826	91	16	improve	improve	VERB
fcis-15826	91	17	their	their	PRON
fcis-15826	91	18	anti	anti	ADJ
fcis-15826	91	19	-	-	ADJ
fcis-15826	91	20	fraud	fraud	ADJ
fcis-15826	91	21	systems	system	NOUN
fcis-15826	91	22	and	and	CCONJ
fcis-15826	91	23	improve	improve	VERB
fcis-15826	91	24	the	the	DET
fcis-15826	91	25	security	security	NOUN
fcis-15826	91	26	of	of	ADP
fcis-15826	91	27	their	their	PRON
fcis-15826	91	28	transactions	transaction	NOUN
fcis-15826	91	29	.	.	PUNCT
fcis-15826	92	1	acknowledgments	acknowledgment	NOUN
fcis-15826	92	2	we	we	PRON
fcis-15826	92	3	thank	thank	VERB
fcis-15826	92	4	bo	bo	PROPN
fcis-15826	92	5	liu	liu	PROPN
fcis-15826	92	6	and	and	CCONJ
fcis-15826	92	7	jixhuang	jixhuang	PROPN
fcis-15826	92	8	for	for	ADP
fcis-15826	92	9	their	their	PRON
fcis-15826	92	10	related	relate	VERB
fcis-15826	92	11	works	work	NOUN
fcis-15826	92	12	within	within	ADP
fcis-15826	92	13	artificial	artificial	ADJ
fcis-15826	92	14	intelligence	intelligence	NOUN
fcis-15826	92	15	in	in	ADP
fcis-15826	92	16	the	the	DET
fcis-15826	92	17	biomedical	biomedical	ADJ
fcis-15826	92	18	engineering	engineering	NOUN
fcis-15826	92	19	field	field	NOUN
fcis-15826	92	20	.	.	PUNCT
fcis-15826	93	1	their	their	PRON
fcis-15826	93	2	articles	article	NOUN
fcis-15826	93	3	have	have	AUX
fcis-15826	93	4	provided	provide	VERB
fcis-15826	93	5	our	our	PRON
fcis-15826	93	6	research	research	NOUN
fcis-15826	93	7	with	with	ADP
fcis-15826	93	8	directions	direction	NOUN
fcis-15826	93	9	and	and	CCONJ
fcis-15826	93	10	insights	insight	NOUN
fcis-15826	93	11	.	.	PUNCT
fcis-15826	94	1	references	reference	NOUN
fcis-15826	94	2	[	[	X
fcis-15826	94	3	1	1	NUM
fcis-15826	94	4	]	]	PUNCT
fcis-15826	94	5	urcovsky	urcovsky	PROPN
fcis-15826	94	6	j	j	PROPN
fcis-15826	94	7	,	,	PUNCT
fcis-15826	94	8	cranitzer	cranitzer	PROPN
fcis-15826	94	9	m	m	PROPN
fcis-15826	94	10	,	,	PUNCT
fcis-15826	94	11	ziecler	ziecler	PROPN
fcis-15826	94	12	k	k	PROPN
fcis-15826	94	13	,	,	PUNCT
fcis-15826	94	14	et	et	PROPN
fcis-15826	94	15	al	al	PROPN
fcis-15826	94	16	.	.	PUNCT
fcis-15826	95	1	sequence	sequence	NOUN
fcis-15826	95	2	classification	classification	NOUN
fcis-15826	95	3	for	for	ADP
fcis-15826	95	4	credit	credit	NOUN
fcis-15826	95	5	-	-	PUNCT
fcis-15826	95	6	card	card	NOUN
fcis-15826	95	7	fraud	fraud	NOUN
fcis-15826	95	8	detectionljl	detectionljl	NOUN
fcis-15826	95	9	.	.	PUNCT
fcis-15826	96	1	expert	expert	NOUN
fcis-15826	96	2	systems	system	NOUN
fcis-15826	96	3	with	with	ADP
fcis-15826	96	4	applications	application	NOUN
fcis-15826	96	5	,	,	PUNCT
fcis-15826	96	6	2018	2018	NUM
fcis-15826	96	7	,	,	PUNCT
fcis-15826	96	8	100	100	NUM
fcis-15826	96	9	:	:	SYM
fcis-15826	96	10	234	234	NUM
fcis-15826	96	11	245	245	NUM
fcis-15826	96	12	.	.	PUNCT
fcis-15826	97	1	[	[	X
fcis-15826	97	2	2	2	NUM
fcis-15826	97	3	]	]	X
fcis-15826	97	4	fiore	fiore	NOUN
fcis-15826	97	5	u	u	PROPN
fcis-15826	97	6	,	,	PUNCT
fcis-15826	97	7	de	de	PROPN
fcis-15826	97	8	santis	santis	PROPN
fcis-15826	97	9	a	a	PROPN
fcis-15826	97	10	,	,	PUNCT
fcis-15826	97	11	perla	perla	PROPN
fcis-15826	97	12	f	f	PROPN
fcis-15826	97	13	,	,	PUNCT
fcis-15826	97	14	et	et	PROPN
fcis-15826	97	15	al	al	PROPN
fcis-15826	97	16	.	.	PUNCT
fcis-15826	97	17	using	use	VERB
fcis-15826	97	18	cenerative	cenerative	ADJ
fcis-15826	97	19	adversarial	adversarial	ADJ
fcis-15826	97	20	netorks	netork	NOUN
fcis-15826	97	21	for	for	ADP
fcis-15826	97	22	lmproving	lmprove	VERB
fcis-15826	97	23	classification	classification	NOUN
fcis-15826	97	24	effectiveness	effectiveness	NOUN
fcis-15826	97	25	incredit	incredit	NOUN
fcis-15826	97	26	card	card	NOUN
fcis-15826	97	27	fraud	fraud	NOUN
fcis-15826	97	28	detection	detection	PROPN
fcis-15826	97	29	j	j	PROPN
fcis-15826	97	30	.	.	PUNCT
fcis-15826	98	1	information	information	NOUN
fcis-15826	98	2	sciences	sciences	PROPN
fcis-15826	98	3	,	,	PUNCT
fcis-15826	98	4	2019	2019	NUM
fcis-15826	98	5	,	,	PUNCT
fcis-15826	98	6	479	479	NUM
fcis-15826	98	7	:	:	PUNCT
fcis-15826	98	8	448	448	NUM
fcis-15826	98	9	-	-	SYM
fcis-15826	98	10	455	455	NUM
fcis-15826	98	11	.	.	PUNCT
fcis-15826	99	1	[	[	X
fcis-15826	99	2	3	3	X
fcis-15826	99	3	]	]	X
fcis-15826	99	4	smiti	smiti	NOUN
fcis-15826	99	5	a.	a.	NOUN
fcis-15826	99	6	a	a	DET
fcis-15826	99	7	critical	critical	ADJ
fcis-15826	99	8	overview	overview	NOUN
fcis-15826	99	9	0f	0f	NOUN
fcis-15826	99	10	outlier	outlier	NOUN
fcis-15826	99	11	detection	detection	NOUN
fcis-15826	99	12	methods	method	NOUN
fcis-15826	99	13	jl	jl	PROPN
fcis-15826	99	14	.	.	PUNCT
fcis-15826	100	1	computer	computer	NOUN
fcis-15826	100	2	science	science	PROPN
fcis-15826	100	3	review	review	PROPN
fcis-15826	100	4	,	,	PUNCT
fcis-15826	100	5	2020	2020	NUM
fcis-15826	100	6	,	,	PUNCT
fcis-15826	100	7	38	38	NUM
fcis-15826	100	8	:	:	PUNCT
fcis-15826	100	9	100306.van	100306.van	NUM
fcis-15826	100	10	capelleveen	capelleveen	VERB
fcis-15826	100	11	c	c	NOUN
fcis-15826	100	12	,	,	PUNCT
fcis-15826	100	13	poel	poel	NOUN
fcis-15826	100	14	m	m	PROPN
fcis-15826	100	15	,	,	PUNCT
fcis-15826	100	16	mueller	mueller	PROPN
fcis-15826	100	17	r	r	PROPN
fcis-15826	100	18	m	m	PROPN
fcis-15826	100	19	,	,	PUNCT
fcis-15826	100	20	et	et	PROPN
fcis-15826	100	21	al	al	PROPN
fcis-15826	100	22	.	.	PROPN
fcis-15826	100	23	outlier	outlier	PROPN
fcis-15826	100	24	detection	detection	NOUN
fcis-15826	100	25	in	in	ADP
fcis-15826	100	26	healthcare	healthcare	PROPN
fcis-15826	100	27	fraud	fraud	PROPN
fcis-15826	100	28	:	:	PUNCT
fcis-15826	100	29	a	a	DET
fcis-15826	100	30	case	case	NOUN
fcis-15826	100	31	study	study	NOUN
fcis-15826	100	32	in	in	ADP
fcis-15826	100	33	the	the	DET
fcis-15826	100	34	medicaid	medicaid	PROPN
fcis-15826	100	35	122	122	NUM
fcis-15826	100	36	dentaldomainl.jl	dentaldomainl.jl	NUM
fcis-15826	100	37	.	.	PUNCT
fcis-15826	101	1	international	international	ADJ
fcis-15826	101	2	journal	journal	PROPN
fcis-15826	101	3	of	of	ADP
fcis-15826	101	4	accounting	accounting	NOUN
fcis-15826	101	5	information	information	NOUN
fcis-15826	101	6	systems	system	NOUN
fcis-15826	101	7	,	,	PUNCT
fcis-15826	101	8	2016	2016	NUM
fcis-15826	101	9	,	,	PUNCT
fcis-15826	101	10	21	21	NUM
fcis-15826	101	11	:	:	SYM
fcis-15826	101	12	18	18	NUM
fcis-15826	101	13	-	-	SYM
fcis-15826	101	14	31	31	NUM
fcis-15826	101	15	.	.	PUNCT
fcis-15826	102	1	[	[	X
fcis-15826	102	2	4	4	X
fcis-15826	102	3	]	]	X
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fcis-15826	102	5	u	u	PROPN
fcis-15826	102	6	,	,	PUNCT
fcis-15826	102	7	mukund	mukund	PROPN
fcis-15826	102	8	s.	s.	PROPN
fcis-15826	102	9	credit	credit	PROPN
fcis-15826	102	10	card	card	NOUN
fcis-15826	102	11	fraud	fraud	NOUN
fcis-15826	102	12	detection	detection	NOUN
fcis-15826	102	13	in	in	ADP
fcis-15826	102	14	ecommerce	ecommerce	PROPN
fcis-15826	102	15	:	:	PUNCT
fcis-15826	102	16	an	an	DET
fcis-15826	102	17	outlier	outlier	ADJ
fcis-15826	102	18	detection	detection	NOUN
fcis-15826	102	19	approachlj	approachlj	NOUN
fcis-15826	102	20	.	.	PUNCT
fcis-15826	103	1	arxiv	arxiv	PROPN
fcis-15826	103	2	preprintar	preprintar	PROPN
fcis-15826	103	3	xiv	xiv	PROPN
fcis-15826	103	4	:	:	PUNCT
fcis-15826	103	5	1811.02196.2018	1811.02196.2018	NUM
fcis-15826	103	6	.	.	PUNCT
fcis-15826	104	1	[	[	X
fcis-15826	104	2	5	5	NUM
fcis-15826	104	3	]	]	X
fcis-15826	104	4	chang	chang	PROPN
fcis-15826	104	5	che	che	PROPN
fcis-15826	104	6	,	,	PUNCT
fcis-15826	104	7	bo	bo	PROPN
fcis-15826	104	8	liu	liu	PROPN
fcis-15826	104	9	,	,	PUNCT
fcis-15826	104	10	shulin	shulin	PROPN
fcis-15826	104	11	li	li	PROPN
fcis-15826	104	12	,	,	PUNCT
fcis-15826	104	13	jiaxin	jiaxin	PROPN
fcis-15826	104	14	huang	huang	PROPN
fcis-15826	104	15	,	,	PUNCT
fcis-15826	104	16	and	and	CCONJ
fcis-15826	104	17	hao	hao	PROPN
fcis-15826	104	18	hu	hu	PROPN
fcis-15826	104	19	.	.	PUNCT
fcis-15826	105	1	deep	deep	ADJ
fcis-15826	105	2	learning	learning	NOUN
fcis-15826	105	3	for	for	ADP
fcis-15826	105	4	precise	precise	ADJ
fcis-15826	105	5	robot	robot	NOUN
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fcis-15826	105	7	prediction	prediction	NOUN
fcis-15826	105	8	in	in	ADP
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fcis-15826	105	10	.	.	PUNCT
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fcis-15826	106	5	practice	practice	NOUN
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fcis-15826	106	7	engineering	engineering	NOUN
fcis-15826	106	8	science	science	NOUN
fcis-15826	106	9	,	,	PUNCT
fcis-15826	106	10	3	3	NUM
fcis-15826	106	11	(	(	PUNCT
fcis-15826	106	12	10	10	NUM
fcis-15826	106	13	):	):	PUNCT
fcis-15826	106	14	36–41	36–41	NUM
fcis-15826	106	15	,	,	PUNCT
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fcis-15826	106	17	:	:	PUNCT
fcis-15826	106	18	10.1021	10.1021	NUM
fcis-15826	106	19	/	/	SYM
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fcis-15826	106	21	.	.	PUNCT
fcis-15826	107	1	[	[	X
fcis-15826	107	2	6	6	NUM
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fcis-15826	107	5	hu	hu	PROPN
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fcis-15826	107	7	shulin	shulin	PROPN
fcis-15826	107	8	li	li	PROPN
fcis-15826	107	9	,	,	PUNCT
fcis-15826	107	10	jiaxin	jiaxin	PROPN
fcis-15826	107	11	huang	huang	PROPN
fcis-15826	107	12	,	,	PUNCT
fcis-15826	107	13	bo	bo	PROPN
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fcis-15826	107	15	,	,	PUNCT
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fcis-15826	107	18	che	che	PROPN
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fcis-15826	108	13	.	.	PUNCT
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fcis-15826	109	3	theory	theory	NOUN
fcis-15826	109	4	and	and	CCONJ
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fcis-15826	109	8	science	science	NOUN
fcis-15826	109	9	,	,	PUNCT
fcis-15826	109	10	3(10):42–46	3(10):42–46	NUM
fcis-15826	109	11	,	,	PUNCT
fcis-15826	109	12	2023	2023	NUM
fcis-15826	109	13	.	.	PUNCT
fcis-15826	110	1	https://doi	https://doi	PROPN
fcis-15826	110	2	.	.	PUNCT
fcis-15826	111	1	org/10	org/10	PROPN
fcis-15826	111	2	.	.	PUNCT
fcis-15826	111	3	53469	53469	NUM
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fcis-15826	112	9	,	,	PUNCT
fcis-15826	112	10	xinyu	xinyu	PROPN
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fcis-15826	112	12	,	,	PUNCT
fcis-15826	112	13	jiaxin	jiaxin	PROPN
fcis-15826	112	14	huang	huang	PROPN
fcis-15826	112	15	,	,	PUNCT
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fcis-15826	112	21	.	.	PUNCT
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fcis-15826	112	26	clip	clip	NOUN
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fcis-15826	112	32	-	-	PUNCT
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fcis-15826	112	34	transformation	transformation	NOUN
fcis-15826	112	35	.	.	PUNCT
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fcis-15826	114	12	,	,	PUNCT
fcis-15826	114	13	414–418	414–418	NUM
fcis-15826	114	14	.	.	PUNCT
fcis-15826	115	1	https://doi	https://doi	PROPN
fcis-15826	115	2	.	.	PUNCT
fcis-15826	116	1	org/10	org/10	PROPN
fcis-15826	116	2	.	.	PUNCT
fcis-15826	117	1	1145/3627377.3627442	1145/3627377.3627442	NUM
fcis-15826	117	2	.	.	PUNCT
fcis-15826	118	1	[	[	X
fcis-15826	118	2	8	8	NUM
fcis-15826	118	3	]	]	X
fcis-15826	118	4	lin	lin	PROPN
fcis-15826	118	5	,	,	PUNCT
fcis-15826	118	6	q.	q.	PROPN
fcis-15826	118	7	,	,	PUNCT
fcis-15826	118	8	che	che	PROPN
fcis-15826	118	9	,	,	PUNCT
fcis-15826	118	10	c.	c.	PROPN
fcis-15826	118	11	,	,	PUNCT
fcis-15826	118	12	hu	hu	PROPN
fcis-15826	118	13	,	,	PUNCT
fcis-15826	118	14	h.	h.	PROPN
fcis-15826	118	15	,	,	PUNCT
fcis-15826	118	16	zhao	zhao	PROPN
fcis-15826	118	17	,	,	PUNCT
fcis-15826	118	18	x.	x.	PROPN
fcis-15826	118	19	,	,	PUNCT
fcis-15826	118	20	&	&	CCONJ
fcis-15826	118	21	li	li	PROPN
fcis-15826	118	22	,	,	PUNCT
fcis-15826	118	23	s.	s.	PROPN
fcis-15826	118	24	(	(	PUNCT
fcis-15826	118	25	2023	2023	NUM
fcis-15826	118	26	)	)	PUNCT
fcis-15826	118	27	.	.	PUNCT
fcis-15826	119	1	a	a	DET
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fcis-15826	119	11	advanced	advanced	ADJ
fcis-15826	119	12	machine	machine	NOUN
fcis-15826	119	13	learning	learn	VERB
fcis-15826	119	14	techniques	technique	NOUN
fcis-15826	119	15	on	on	ADP
fcis-15826	119	16	mri	mri	NOUN
fcis-15826	119	17	data	datum	NOUN
fcis-15826	119	18	.	.	PUNCT
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fcis-15826	120	3	of	of	ADP
fcis-15826	120	4	science	science	NOUN
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fcis-15826	120	6	technology	technology	NOUN
fcis-15826	120	7	,	,	PUNCT
fcis-15826	120	8	8(1	8(1	NOUN
fcis-15826	120	9	)	)	PUNCT
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fcis-15826	120	11	281	281	NUM
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fcis-15826	120	13	285.doi	285.doi	NUM
fcis-15826	120	14	:	:	PUNCT
fcis-15826	120	15	10.1111	10.1111	NUM
fcis-15826	120	16	/	/	SYM
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fcis-15826	120	18	.	.	PUNCT
fcis-15826	121	1	[	[	X
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fcis-15826	121	3	]	]	SYM
fcis-15826	121	4	che	che	X
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fcis-15826	121	6	c.	c.	PROPN
fcis-15826	121	7	,	,	PUNCT
fcis-15826	121	8	hu	hu	PROPN
fcis-15826	121	9	,	,	PUNCT
fcis-15826	121	10	h.	h.	PROPN
fcis-15826	121	11	,	,	PUNCT
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fcis-15826	121	13	,	,	PUNCT
fcis-15826	121	14	x.	x.	PROPN
fcis-15826	121	15	,	,	PUNCT
fcis-15826	121	16	li	li	PROPN
fcis-15826	121	17	,	,	PUNCT
fcis-15826	121	18	s.	s.	PROPN
fcis-15826	121	19	,	,	PUNCT
fcis-15826	121	20	&	&	CCONJ
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fcis-15826	121	22	,	,	PUNCT
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fcis-15826	121	24	(	(	PUNCT
fcis-15826	121	25	2023	2023	NUM
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fcis-15826	121	27	.	.	PUNCT
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fcis-15826	122	2	cancer	cancer	NOUN
fcis-15826	122	3	document	document	NOUN
fcis-15826	122	4	classification	classification	NOUN
fcis-15826	122	5	with	with	ADP
fcis-15826	122	6	r	r	NOUN
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fcis-15826	122	8	forest	forest	NOUN
fcis-15826	122	9	.	.	PUNCT
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fcis-15826	123	2	journal	journal	NOUN
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fcis-15826	123	4	science	science	NOUN
fcis-15826	123	5	and	and	CCONJ
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fcis-15826	123	7	,	,	PUNCT
fcis-15826	123	8	8(1	8(1	NOUN
fcis-15826	123	9	)	)	PUNCT
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fcis-15826	123	12	.	.	PUNCT
fcis-15826	124	1	https://	https://	PROPN
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fcis-15826	125	3	]	]	X
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fcis-15826	125	7	h.	h.	PROPN
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fcis-15826	125	9	,	,	PUNCT
fcis-15826	125	10	c.	c.	PROPN
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fcis-15826	125	12	,	,	PUNCT
fcis-15826	125	13	l.	l.	PROPN
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fcis-15826	125	16	y.	y.	PROPN
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fcis-15826	125	22	"	"	PUNCT
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fcis-15826	125	28	:	:	PUNCT
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fcis-15826	125	48	(	(	PUNCT
fcis-15826	125	49	iccece	iccece	PROPN
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fcis-15826	125	59	.	.	PUNCT
fcis-15826	125	60	834	834	NUM
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fcis-15826	125	62	837	837	NUM
fcis-15826	125	63	,	,	PUNCT
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fcis-15826	126	19	"	"	PUNCT
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fcis-15826	126	21	data	datum	NOUN
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fcis-15826	126	25	management	management	NOUN
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fcis-15826	126	31	on	on	ADP
fcis-15826	126	32	rf	rf	NOUN
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fcis-15826	126	36	"	"	PUNCT
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fcis-15826	127	5	1	1	NUM
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fcis-15826	127	7	,	,	PUNCT
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fcis-15826	127	9	,	,	PUNCT
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fcis-15826	128	10	k	k	PROPN
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fcis-15826	128	21	saving	save	VERB
fcis-15826	128	22	algorithms	algorithm	NOUN
fcis-15826	128	23	for	for	ADP
fcis-15826	128	24	internet	internet	NOUN
fcis-15826	128	25	of	of	ADP
fcis-15826	128	26	things	thing	NOUN
fcis-15826	128	27	devices	device	NOUN
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fcis-15826	129	5	.	.	PUNCT
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fcis-15826	130	1	32	32	NUM
fcis-15826	130	2	:	:	PUNCT
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fcis-15826	130	4	.	.	PROPN
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fcis-15826	130	6	:	:	PUNCT
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fcis-15826	136	3	.	.	PUNCT
fcis-15826	137	1	2023	2023	NUM
fcis-15826	137	2	may	may	PROPN
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fcis-15826	137	4	.	.	PUNCT
fcis-15826	137	5	doi	doi	NOUN
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fcis-15826	139	1	[	[	X
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fcis-15826	139	20	-	-	PUNCT
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fcis-15826	140	9	,	,	PUNCT
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fcis-15826	140	11	:	:	SYM
fcis-15826	140	12	8475	8475	NUM
fcis-15826	140	13	-	-	SYM
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