id	sid	tid	token	lemma	pos
fcis-21102	1	1	frontiers	frontier	NOUN
fcis-21102	1	2	in	in	ADP
fcis-21102	1	3	computing	computing	NOUN
fcis-21102	1	4	and	and	CCONJ
fcis-21102	1	5	intelligent	intelligent	ADJ
fcis-21102	1	6	systems	system	NOUN
fcis-21102	1	7	issn	issn	VERB
fcis-21102	1	8	:	:	PUNCT
fcis-21102	1	9	2832	2832	NUM
fcis-21102	1	10	-	-	SYM
fcis-21102	1	11	6024	6024	NUM
fcis-21102	1	12	|	|	NOUN
fcis-21102	1	13	vol	vol	NOUN
fcis-21102	1	14	.	.	PROPN
fcis-21102	2	1	8	8	NUM
fcis-21102	2	2	,	,	PUNCT
fcis-21102	2	3	no	no	INTJ
fcis-21102	3	1	.	.	NOUN
fcis-21102	3	2	1	1	NUM
fcis-21102	3	3	,	,	PUNCT
fcis-21102	3	4	2024	2024	NUM
fcis-21102	3	5	98	98	NUM
fcis-21102	3	6	ethereum	ethereum	NOUN
fcis-21102	3	7	eclipse	eclipse	NOUN
fcis-21102	3	8	attack	attack	NOUN
fcis-21102	3	9	detection	detection	NOUN
fcis-21102	3	10	based	base	VERB
fcis-21102	3	11	on	on	ADP
fcis-21102	3	12	bg‐	bg‐	X
fcis-21102	3	13	xgboost	xgboost	X
fcis-21102	4	1	chao	chao	PROPN
fcis-21102	4	2	huang	huang	PROPN
fcis-21102	4	3	*	*	PROPN
fcis-21102	4	4	,	,	PUNCT
fcis-21102	4	5	weiping	weiping	NOUN
fcis-21102	4	6	yang	yang	PROPN
fcis-21102	4	7	school	school	PROPN
fcis-21102	4	8	of	of	ADP
fcis-21102	4	9	cybersecurity	cybersecurity	NOUN
fcis-21102	4	10	,	,	PUNCT
fcis-21102	4	11	chengdu	chengdu	PROPN
fcis-21102	4	12	university	university	PROPN
fcis-21102	4	13	of	of	ADP
fcis-21102	4	14	information	information	NOUN
fcis-21102	4	15	technology	technology	PROPN
fcis-21102	4	16	,	,	PUNCT
fcis-21102	4	17	chengdu	chengdu	PROPN
fcis-21102	4	18	,	,	PUNCT
fcis-21102	4	19	sichuan	sichuan	PROPN
fcis-21102	4	20	,	,	PUNCT
fcis-21102	4	21	610200	610200	NUM
fcis-21102	4	22	,	,	PUNCT
fcis-21102	4	23	china	china	PROPN
fcis-21102	4	24	*	*	PUNCT
fcis-21102	4	25	corresponding	correspond	VERB
fcis-21102	4	26	author	author	NOUN
fcis-21102	4	27	:	:	PUNCT
fcis-21102	4	28	chao	chao	PROPN
fcis-21102	4	29	huang	huang	PROPN
fcis-21102	4	30	(	(	PUNCT
fcis-21102	4	31	email	email	NOUN
fcis-21102	4	32	:	:	PUNCT
fcis-21102	4	33	huangchao251@gmail.com	huangchao251@gmail.com	X
fcis-21102	4	34	)	)	PUNCT
fcis-21102	4	35	abstract	abstract	ADJ
fcis-21102	4	36	:	:	PUNCT
fcis-21102	4	37	abstract	abstract	ADJ
fcis-21102	4	38	:	:	PUNCT
fcis-21102	4	39	eclipse	eclipse	NOUN
fcis-21102	4	40	attacks	attack	NOUN
fcis-21102	4	41	pose	pose	VERB
fcis-21102	4	42	a	a	DET
fcis-21102	4	43	serious	serious	ADJ
fcis-21102	4	44	threat	threat	NOUN
fcis-21102	4	45	to	to	PART
fcis-21102	4	46	blockchain	blockchain	PROPN
fcis-21102	4	47	networks	networks	PROPN
fcis-21102	4	48	.	.	PUNCT
fcis-21102	5	1	research	research	NOUN
fcis-21102	5	2	has	have	AUX
fcis-21102	5	3	proven	prove	VERB
fcis-21102	5	4	that	that	SCONJ
fcis-21102	5	5	ethereum	ethereum	NOUN
fcis-21102	5	6	is	be	AUX
fcis-21102	5	7	more	more	ADV
fcis-21102	5	8	vulnerable	vulnerable	ADJ
fcis-21102	5	9	to	to	ADP
fcis-21102	5	10	the	the	DET
fcis-21102	5	11	eclipse	eclipse	NOUN
fcis-21102	5	12	attack	attack	NOUN
fcis-21102	5	13	than	than	ADP
fcis-21102	5	14	the	the	DET
fcis-21102	5	15	bitcoin	bitcoin	ADJ
fcis-21102	5	16	peer	peer	NOUN
fcis-21102	5	17	-	-	PUNCT
fcis-21102	5	18	to	to	ADP
fcis-21102	5	19	-	-	PUNCT
fcis-21102	5	20	peer	peer	NOUN
fcis-21102	5	21	network	network	NOUN
fcis-21102	5	22	.	.	PUNCT
fcis-21102	6	1	therefore	therefore	ADV
fcis-21102	6	2	,	,	PUNCT
fcis-21102	6	3	related	related	ADJ
fcis-21102	6	4	research	research	NOUN
fcis-21102	6	5	on	on	ADP
fcis-21102	6	6	eclipse	eclipse	NOUN
fcis-21102	6	7	attacks	attack	NOUN
fcis-21102	6	8	on	on	ADP
fcis-21102	6	9	ethereum	ethereum	NOUN
fcis-21102	6	10	is	be	AUX
fcis-21102	6	11	of	of	ADP
fcis-21102	6	12	great	great	ADJ
fcis-21102	6	13	value	value	NOUN
fcis-21102	6	14	.	.	PUNCT
fcis-21102	7	1	this	this	DET
fcis-21102	7	2	paper	paper	NOUN
fcis-21102	7	3	proposes	propose	VERB
fcis-21102	7	4	an	an	DET
fcis-21102	7	5	improved	improved	ADJ
fcis-21102	7	6	xgboost	xgboost	NOUN
fcis-21102	7	7	algorithm	algorithm	NOUN
fcis-21102	7	8	based	base	VERB
fcis-21102	7	9	on	on	ADP
fcis-21102	7	10	bagging	bagging	NOUN
fcis-21102	7	11	.	.	PUNCT
fcis-21102	8	1	it	it	PRON
fcis-21102	8	2	simulates	simulate	VERB
fcis-21102	8	3	a	a	DET
fcis-21102	8	4	variety	variety	NOUN
fcis-21102	8	5	of	of	ADP
fcis-21102	8	6	random	random	ADJ
fcis-21102	8	7	situations	situation	NOUN
fcis-21102	8	8	through	through	ADP
fcis-21102	8	9	the	the	DET
fcis-21102	8	10	bagging	bagging	NOUN
fcis-21102	8	11	method	method	NOUN
fcis-21102	8	12	,	,	PUNCT
fcis-21102	8	13	introduces	introduce	VERB
fcis-21102	8	14	randomness	randomness	NOUN
fcis-21102	8	15	,	,	PUNCT
fcis-21102	8	16	reduces	reduce	VERB
fcis-21102	8	17	the	the	DET
fcis-21102	8	18	risk	risk	NOUN
fcis-21102	8	19	of	of	ADP
fcis-21102	8	20	high	high	ADJ
fcis-21102	8	21	errors	error	NOUN
fcis-21102	8	22	,	,	PUNCT
fcis-21102	8	23	reduces	reduce	VERB
fcis-21102	8	24	the	the	DET
fcis-21102	8	25	variance	variance	NOUN
fcis-21102	8	26	of	of	ADP
fcis-21102	8	27	the	the	DET
fcis-21102	8	28	xgboost	xgboost	PROPN
fcis-21102	8	29	model	model	PROPN
fcis-21102	8	30	output	output	NOUN
fcis-21102	8	31	,	,	PUNCT
fcis-21102	8	32	and	and	CCONJ
fcis-21102	8	33	improves	improve	VERB
fcis-21102	8	34	the	the	DET
fcis-21102	8	35	generalization	generalization	NOUN
fcis-21102	8	36	ability	ability	NOUN
fcis-21102	8	37	of	of	ADP
fcis-21102	8	38	the	the	DET
fcis-21102	8	39	model	model	NOUN
fcis-21102	8	40	.	.	PUNCT
fcis-21102	9	1	it	it	PRON
fcis-21102	9	2	further	far	ADV
fcis-21102	9	3	enhances	enhance	VERB
fcis-21102	9	4	the	the	DET
fcis-21102	9	5	model	model	NOUN
fcis-21102	9	6	performance	performance	NOUN
fcis-21102	9	7	on	on	ADP
fcis-21102	9	8	binary	binary	ADJ
fcis-21102	9	9	classification	classification	NOUN
fcis-21102	9	10	problems	problem	NOUN
fcis-21102	9	11	and	and	CCONJ
fcis-21102	9	12	achieves	achieve	VERB
fcis-21102	9	13	efficient	efficient	ADJ
fcis-21102	9	14	identification	identification	NOUN
fcis-21102	9	15	of	of	ADP
fcis-21102	9	16	eclipse	eclipse	NOUN
fcis-21102	9	17	attack	attack	NOUN
fcis-21102	9	18	traffic	traffic	NOUN
fcis-21102	9	19	and	and	CCONJ
fcis-21102	9	20	normal	normal	ADJ
fcis-21102	9	21	traffic	traffic	NOUN
fcis-21102	9	22	.	.	PUNCT
fcis-21102	10	1	keywords	keyword	NOUN
fcis-21102	10	2	:	:	PUNCT
fcis-21102	10	3	blockchain	blockchain	NOUN
fcis-21102	10	4	;	;	PUNCT
fcis-21102	10	5	network	network	NOUN
fcis-21102	10	6	security	security	NOUN
fcis-21102	10	7	;	;	PUNCT
fcis-21102	10	8	eclipse	eclipse	NOUN
fcis-21102	10	9	attack	attack	NOUN
fcis-21102	10	10	;	;	PUNCT
fcis-21102	10	11	ethereum	ethereum	NOUN
fcis-21102	10	12	;	;	PUNCT
fcis-21102	10	13	traffic	traffic	NOUN
fcis-21102	10	14	detection	detection	NOUN
fcis-21102	10	15	.	.	PUNCT
fcis-21102	11	1	1	1	X
fcis-21102	11	2	.	.	X
fcis-21102	11	3	introduction	introduction	NOUN
fcis-21102	11	4	with	with	ADP
fcis-21102	11	5	the	the	DET
fcis-21102	11	6	rapid	rapid	ADJ
fcis-21102	11	7	development	development	NOUN
fcis-21102	11	8	of	of	ADP
fcis-21102	11	9	blockchain	blockchain	PROPN
fcis-21102	11	10	technology	technology	PROPN
fcis-21102	11	11	,	,	PUNCT
fcis-21102	11	12	ethereum	ethereum	NOUN
fcis-21102	11	13	,	,	PUNCT
fcis-21102	11	14	as	as	ADP
fcis-21102	11	15	one	one	NUM
fcis-21102	11	16	of	of	ADP
fcis-21102	11	17	the	the	DET
fcis-21102	11	18	most	most	ADV
fcis-21102	11	19	representative	representative	ADJ
fcis-21102	11	20	public	public	ADJ
fcis-21102	11	21	blockchains	blockchain	NOUN
fcis-21102	11	22	,	,	PUNCT
fcis-21102	11	23	has	have	AUX
fcis-21102	11	24	demonstrated	demonstrate	VERB
fcis-21102	11	25	strong	strong	ADJ
fcis-21102	11	26	application	application	NOUN
fcis-21102	11	27	potential	potential	NOUN
fcis-21102	11	28	in	in	ADP
fcis-21102	11	29	areas	area	NOUN
fcis-21102	11	30	such	such	ADJ
fcis-21102	11	31	as	as	ADP
fcis-21102	11	32	digital	digital	ADJ
fcis-21102	11	33	asset	asset	NOUN
fcis-21102	11	34	transactions	transaction	NOUN
fcis-21102	11	35	and	and	CCONJ
fcis-21102	11	36	smart	smart	ADJ
fcis-21102	11	37	contracts	contract	NOUN
fcis-21102	11	38	.	.	PUNCT
fcis-21102	12	1	ethereum	ethereum	NOUN
fcis-21102	12	2	is	be	AUX
fcis-21102	12	3	a	a	DET
fcis-21102	12	4	decentralized	decentralize	VERB
fcis-21102	12	5	open	open	ADJ
fcis-21102	12	6	source	source	NOUN
fcis-21102	12	7	public	public	PROPN
fcis-21102	12	8	blockchain	blockchain	PROPN
fcis-21102	12	9	platform	platform	NOUN
fcis-21102	12	10	with	with	ADP
fcis-21102	12	11	smart	smart	ADJ
fcis-21102	12	12	contract	contract	NOUN
fcis-21102	12	13	functions	function	NOUN
fcis-21102	12	14	and	and	CCONJ
fcis-21102	12	15	one	one	NUM
fcis-21102	12	16	of	of	ADP
fcis-21102	12	17	the	the	DET
fcis-21102	12	18	largest	large	ADJ
fcis-21102	12	19	open	open	ADJ
fcis-21102	12	20	source	source	NOUN
fcis-21102	12	21	blockchain	blockchain	NOUN
fcis-21102	12	22	platforms	platform	NOUN
fcis-21102	12	23	[	[	X
fcis-21102	12	24	1	1	NUM
fcis-21102	12	25	]	]	PUNCT
fcis-21102	12	26	.	.	PUNCT
fcis-21102	13	1	similar	similar	ADJ
fcis-21102	13	2	to	to	ADP
fcis-21102	13	3	traditional	traditional	ADJ
fcis-21102	13	4	blockchain	blockchain	PROPN
fcis-21102	13	5	platforms	platform	NOUN
fcis-21102	13	6	,	,	PUNCT
fcis-21102	13	7	ethereum	ethereum	NOUN
fcis-21102	13	8	utilizes	utilize	VERB
fcis-21102	13	9	a	a	DET
fcis-21102	13	10	decentralized	decentralized	ADJ
fcis-21102	13	11	network	network	NOUN
fcis-21102	13	12	of	of	ADP
fcis-21102	13	13	nodes	node	NOUN
fcis-21102	13	14	to	to	PART
fcis-21102	13	15	verify	verify	VERB
fcis-21102	13	16	and	and	CCONJ
fcis-21102	13	17	record	record	NOUN
fcis-21102	13	18	transactions	transaction	NOUN
fcis-21102	13	19	.	.	PUNCT
fcis-21102	14	1	ethereum	ethereum	NOUN
fcis-21102	14	2	has	have	VERB
fcis-21102	14	3	several	several	ADJ
fcis-21102	14	4	important	important	ADJ
fcis-21102	14	5	characteristics	characteristic	NOUN
fcis-21102	14	6	,	,	PUNCT
fcis-21102	14	7	including	include	VERB
fcis-21102	14	8	openness	openness	NOUN
fcis-21102	14	9	,	,	PUNCT
fcis-21102	14	10	immutability	immutability	NOUN
fcis-21102	14	11	,	,	PUNCT
fcis-21102	14	12	transparency	transparency	NOUN
fcis-21102	14	13	,	,	PUNCT
fcis-21102	14	14	decentralization	decentralization	NOUN
fcis-21102	14	15	,	,	PUNCT
fcis-21102	14	16	integrity	integrity	NOUN
fcis-21102	14	17	,	,	PUNCT
fcis-21102	14	18	and	and	CCONJ
fcis-21102	14	19	programmability	programmability	NOUN
fcis-21102	14	20	.	.	PUNCT
fcis-21102	15	1	with	with	ADP
fcis-21102	15	2	the	the	DET
fcis-21102	15	3	rapid	rapid	ADJ
fcis-21102	15	4	development	development	NOUN
fcis-21102	15	5	of	of	ADP
fcis-21102	15	6	the	the	DET
fcis-21102	15	7	blockchain	blockchain	PROPN
fcis-21102	15	8	industry	industry	PROPN
fcis-21102	15	9	,	,	PUNCT
fcis-21102	15	10	the	the	DET
fcis-21102	15	11	security	security	NOUN
fcis-21102	15	12	issues	issue	NOUN
fcis-21102	15	13	of	of	ADP
fcis-21102	15	14	blockchain	blockchain	PROPN
fcis-21102	15	15	have	have	AUX
fcis-21102	15	16	attracted	attract	VERB
fcis-21102	15	17	more	more	ADJ
fcis-21102	15	18	and	and	CCONJ
fcis-21102	15	19	more	more	ADJ
fcis-21102	15	20	attention	attention	NOUN
fcis-21102	15	21	.	.	PUNCT
fcis-21102	16	1	at	at	ADP
fcis-21102	16	2	present	present	ADJ
fcis-21102	16	3	,	,	PUNCT
fcis-21102	16	4	the	the	DET
fcis-21102	16	5	main	main	ADJ
fcis-21102	16	6	research	research	NOUN
fcis-21102	16	7	directions	direction	NOUN
fcis-21102	16	8	on	on	ADP
fcis-21102	16	9	blockchain	blockchain	PROPN
fcis-21102	16	10	security	security	NOUN
fcis-21102	16	11	are	be	AUX
fcis-21102	16	12	mostly	mostly	ADV
fcis-21102	16	13	focused	focus	VERB
fcis-21102	16	14	on	on	ADP
fcis-21102	16	15	the	the	DET
fcis-21102	16	16	technical	technical	ADJ
fcis-21102	16	17	aspects	aspect	NOUN
fcis-21102	16	18	of	of	ADP
fcis-21102	16	19	blockchain	blockchain	NOUN
fcis-21102	16	20	,	,	PUNCT
fcis-21102	16	21	such	such	ADJ
fcis-21102	16	22	as	as	ADP
fcis-21102	16	23	consensus	consensus	NOUN
fcis-21102	16	24	algorithm	algorithm	NOUN
fcis-21102	16	25	security	security	NOUN
fcis-21102	16	26	,	,	PUNCT
fcis-21102	16	27	smart	smart	ADJ
fcis-21102	16	28	contract	contract	NOUN
fcis-21102	16	29	security	security	NOUN
fcis-21102	16	30	,	,	PUNCT
fcis-21102	16	31	privacy	privacy	NOUN
fcis-21102	16	32	protection	protection	NOUN
fcis-21102	16	33	,	,	PUNCT
fcis-21102	16	34	side	side	NOUN
fcis-21102	16	35	chain	chain	NOUN
fcis-21102	16	36	and	and	CCONJ
fcis-21102	16	37	cross	cross	ADJ
fcis-21102	16	38	-	-	ADJ
fcis-21102	16	39	chain	chain	ADJ
fcis-21102	16	40	security	security	NOUN
fcis-21102	16	41	,	,	PUNCT
fcis-21102	16	42	decentralized	decentralize	VERB
fcis-21102	16	43	application	application	NOUN
fcis-21102	16	44	(	(	PUNCT
fcis-21102	16	45	dapps	dapp	NOUN
fcis-21102	16	46	)	)	PUNCT
fcis-21102	16	47	security	security	NOUN
fcis-21102	16	48	direction	direction	NOUN
fcis-21102	16	49	,	,	PUNCT
fcis-21102	16	50	etc	etc	X
fcis-21102	16	51	.	.	X
fcis-21102	17	1	[	[	X
fcis-21102	17	2	2	2	NUM
fcis-21102	17	3	]	]	PUNCT
fcis-21102	17	4	.	.	PUNCT
fcis-21102	18	1	as	as	ADP
fcis-21102	18	2	one	one	NUM
fcis-21102	18	3	of	of	ADP
fcis-21102	18	4	the	the	DET
fcis-21102	18	5	most	most	ADV
fcis-21102	18	6	valuable	valuable	ADJ
fcis-21102	18	7	blockchain	blockchain	PROPN
fcis-21102	18	8	platforms	platform	NOUN
fcis-21102	18	9	,	,	PUNCT
fcis-21102	18	10	ethereum	ethereum	NOUN
fcis-21102	18	11	still	still	ADV
fcis-21102	18	12	has	have	VERB
fcis-21102	18	13	huge	huge	ADJ
fcis-21102	18	14	room	room	NOUN
fcis-21102	18	15	for	for	ADP
fcis-21102	18	16	development	development	NOUN
fcis-21102	18	17	in	in	ADP
fcis-21102	18	18	the	the	DET
fcis-21102	18	19	future	future	NOUN
fcis-21102	18	20	because	because	SCONJ
fcis-21102	18	21	of	of	ADP
fcis-21102	18	22	its	its	PRON
fcis-21102	18	23	openness	openness	NOUN
fcis-21102	18	24	and	and	CCONJ
fcis-21102	18	25	innovation	innovation	NOUN
fcis-21102	18	26	.	.	PUNCT
fcis-21102	19	1	therefore	therefore	ADV
fcis-21102	19	2	,	,	PUNCT
fcis-21102	19	3	research	research	NOUN
fcis-21102	19	4	on	on	ADP
fcis-21102	19	5	its	its	PRON
fcis-21102	19	6	technology	technology	NOUN
fcis-21102	19	7	,	,	PUNCT
fcis-21102	19	8	security	security	NOUN
fcis-21102	19	9	,	,	PUNCT
fcis-21102	19	10	performance	performance	NOUN
fcis-21102	19	11	,	,	PUNCT
fcis-21102	19	12	economic	economic	ADJ
fcis-21102	19	13	model	model	NOUN
fcis-21102	19	14	and	and	CCONJ
fcis-21102	19	15	application	application	NOUN
fcis-21102	19	16	has	have	VERB
fcis-21102	19	17	extensive	extensive	ADJ
fcis-21102	19	18	value	value	NOUN
fcis-21102	19	19	.	.	PUNCT
fcis-21102	20	1	despite	despite	SCONJ
fcis-21102	20	2	growing	grow	VERB
fcis-21102	20	3	research	research	NOUN
fcis-21102	20	4	into	into	ADP
fcis-21102	20	5	the	the	DET
fcis-21102	20	6	security	security	NOUN
fcis-21102	20	7	of	of	ADP
fcis-21102	20	8	the	the	DET
fcis-21102	20	9	ethereum	ethereum	NOUN
fcis-21102	20	10	consensus	consensus	NOUN
fcis-21102	20	11	algorithm	algorithm	NOUN
fcis-21102	20	12	and	and	CCONJ
fcis-21102	20	13	scripting	scripting	NOUN
fcis-21102	20	14	language	language	NOUN
fcis-21102	20	15	,	,	PUNCT
fcis-21102	20	16	the	the	DET
fcis-21102	20	17	properties	property	NOUN
fcis-21102	20	18	and	and	CCONJ
fcis-21102	20	19	security	security	NOUN
fcis-21102	20	20	of	of	ADP
fcis-21102	20	21	the	the	DET
fcis-21102	20	22	ethereum	ethereum	NOUN
fcis-21102	20	23	peer	peer	NOUN
fcis-21102	20	24	-	-	PUNCT
fcis-21102	20	25	to	to	ADP
fcis-21102	20	26	-	-	PUNCT
fcis-21102	20	27	peer	peer	NOUN
fcis-21102	20	28	network	network	NOUN
fcis-21102	20	29	remain	remain	VERB
fcis-21102	20	30	largely	largely	ADV
fcis-21102	20	31	unexplored	unexplored	ADJ
fcis-21102	20	32	.	.	PUNCT
fcis-21102	21	1	and	and	CCONJ
fcis-21102	21	2	research	research	NOUN
fcis-21102	21	3	has	have	AUX
fcis-21102	21	4	shown	show	VERB
fcis-21102	21	5	that	that	SCONJ
fcis-21102	21	6	the	the	DET
fcis-21102	21	7	security	security	NOUN
fcis-21102	21	8	properties	property	NOUN
fcis-21102	21	9	of	of	ADP
fcis-21102	21	10	a	a	DET
fcis-21102	21	11	proof	proof	NOUN
fcis-21102	21	12	-	-	PUNCT
fcis-21102	21	13	of	of	ADP
fcis-21102	21	14	-	-	PUNCT
fcis-21102	21	15	work	work	NOUN
fcis-21102	21	16	blockchain	blockchain	NOUN
fcis-21102	21	17	depend	depend	VERB
fcis-21102	21	18	on	on	ADP
fcis-21102	21	19	the	the	DET
fcis-21102	21	20	security	security	NOUN
fcis-21102	21	21	of	of	ADP
fcis-21102	21	22	its	its	PRON
fcis-21102	21	23	underlying	underlie	VERB
fcis-21102	21	24	peer	peer	NOUN
fcis-21102	21	25	-	-	PUNCT
fcis-21102	21	26	to	to	ADP
fcis-21102	21	27	-	-	PUNCT
fcis-21102	21	28	peer	peer	NOUN
fcis-21102	21	29	network	network	NOUN
fcis-21102	21	30	.	.	PUNCT
fcis-21102	22	1	although	although	SCONJ
fcis-21102	22	2	it	it	PRON
fcis-21102	22	3	is	be	AUX
fcis-21102	22	4	a	a	DET
fcis-21102	22	5	relatively	relatively	ADV
fcis-21102	22	6	mature	mature	ADJ
fcis-21102	22	7	blockchain	blockchain	PROPN
fcis-21102	22	8	technology	technology	NOUN
fcis-21102	22	9	,	,	PUNCT
fcis-21102	22	10	ethereum	ethereum	NOUN
fcis-21102	22	11	developers	developer	NOUN
fcis-21102	22	12	have	have	AUX
fcis-21102	22	13	proposed	propose	VERB
fcis-21102	22	14	a	a	DET
fcis-21102	22	15	variety	variety	NOUN
fcis-21102	22	16	of	of	ADP
fcis-21102	22	17	security	security	NOUN
fcis-21102	22	18	mechanisms	mechanism	NOUN
fcis-21102	22	19	to	to	PART
fcis-21102	22	20	deal	deal	VERB
fcis-21102	22	21	with	with	ADP
fcis-21102	22	22	the	the	DET
fcis-21102	22	23	increasingly	increasingly	ADV
fcis-21102	22	24	severe	severe	ADJ
fcis-21102	22	25	blockchain	blockchain	PROPN
fcis-21102	22	26	network	network	PROPN
fcis-21102	22	27	security	security	PROPN
fcis-21102	22	28	environment	environment	NOUN
fcis-21102	22	29	.	.	PUNCT
fcis-21102	23	1	however	however	ADV
fcis-21102	23	2	,	,	PUNCT
fcis-21102	23	3	relevant	relevant	ADJ
fcis-21102	23	4	research	research	NOUN
fcis-21102	23	5	has	have	AUX
fcis-21102	23	6	proven	prove	VERB
fcis-21102	23	7	that	that	SCONJ
fcis-21102	23	8	compared	compare	VERB
fcis-21102	23	9	to	to	ADP
fcis-21102	23	10	other	other	ADJ
fcis-21102	23	11	traditional	traditional	ADJ
fcis-21102	23	12	blockchain	blockchain	PROPN
fcis-21102	23	13	systems	system	NOUN
fcis-21102	23	14	such	such	ADJ
fcis-21102	23	15	as	as	ADP
fcis-21102	23	16	bitcoin	bitcoin	NOUN
fcis-21102	23	17	,	,	PUNCT
fcis-21102	23	18	ethereum	ethereum	NOUN
fcis-21102	23	19	is	be	AUX
fcis-21102	23	20	still	still	ADV
fcis-21102	23	21	subject	subject	ADJ
fcis-21102	23	22	to	to	ADP
fcis-21102	23	23	a	a	DET
fcis-21102	23	24	variety	variety	NOUN
fcis-21102	23	25	of	of	ADP
fcis-21102	23	26	security	security	NOUN
fcis-21102	23	27	threats	threat	NOUN
fcis-21102	23	28	targeting	target	VERB
fcis-21102	23	29	different	different	ADJ
fcis-21102	23	30	architectural	architectural	ADJ
fcis-21102	23	31	levels	level	NOUN
fcis-21102	23	32	of	of	ADP
fcis-21102	23	33	the	the	DET
fcis-21102	23	34	system	system	NOUN
fcis-21102	23	35	.	.	PUNCT
fcis-21102	24	1	eclipse	eclipse	NOUN
fcis-21102	24	2	attacks	attack	NOUN
fcis-21102	24	3	are	be	AUX
fcis-21102	24	4	one	one	NUM
fcis-21102	24	5	of	of	ADP
fcis-21102	24	6	the	the	DET
fcis-21102	24	7	most	most	ADV
fcis-21102	24	8	harmful	harmful	ADJ
fcis-21102	24	9	blockchain	blockchain	PROPN
fcis-21102	24	10	network	network	NOUN
fcis-21102	24	11	security	security	NOUN
fcis-21102	24	12	threats	threat	NOUN
fcis-21102	24	13	.	.	PUNCT
fcis-21102	25	1	heilman	heilman	PROPN
fcis-21102	25	2	et	et	PROPN
fcis-21102	25	3	al	al	PROPN
fcis-21102	25	4	.	.	PROPN
fcis-21102	25	5	highlighted	highlight	VERB
fcis-21102	25	6	this	this	DET
fcis-21102	25	7	risk	risk	NOUN
fcis-21102	25	8	by	by	ADP
fcis-21102	25	9	demonstrating	demonstrate	VERB
fcis-21102	25	10	the	the	DET
fcis-21102	25	11	first	first	ADJ
fcis-21102	25	12	eclipse	eclipse	NOUN
fcis-21102	25	13	attack	attack	NOUN
fcis-21102	25	14	on	on	ADP
fcis-21102	25	15	the	the	DET
fcis-21102	25	16	bitcoin	bitcoin	ADJ
fcis-21102	25	17	peerto	peerto	ADJ
fcis-21102	25	18	-	-	PUNCT
fcis-21102	25	19	peer	peer	NOUN
fcis-21102	25	20	network	network	NOUN
fcis-21102	25	21	[	[	X
fcis-21102	25	22	3	3	NUM
fcis-21102	25	23	]	]	PUNCT
fcis-21102	25	24	.	.	PUNCT
fcis-21102	26	1	research	research	NOUN
fcis-21102	26	2	has	have	AUX
fcis-21102	26	3	proven	prove	VERB
fcis-21102	26	4	that	that	SCONJ
fcis-21102	26	5	ethereum	ethereum	NOUN
fcis-21102	26	6	is	be	AUX
fcis-21102	26	7	more	more	ADV
fcis-21102	26	8	vulnerable	vulnerable	ADJ
fcis-21102	26	9	to	to	ADP
fcis-21102	26	10	eclipse	eclipse	NOUN
fcis-21102	26	11	attacks	attack	NOUN
fcis-21102	26	12	than	than	ADP
fcis-21102	26	13	bitcoin	bitcoin	ADJ
fcis-21102	26	14	peer	peer	NOUN
fcis-21102	26	15	-	-	PUNCT
fcis-21102	26	16	to	to	ADP
fcis-21102	26	17	-	-	PUNCT
fcis-21102	26	18	peer	peer	NOUN
fcis-21102	26	19	networks	network	NOUN
fcis-21102	26	20	[	[	X
fcis-21102	26	21	4	4	NUM
fcis-21102	26	22	]	]	PUNCT
fcis-21102	26	23	.	.	PUNCT
fcis-21102	27	1	therefore	therefore	ADV
fcis-21102	27	2	,	,	PUNCT
fcis-21102	27	3	as	as	SCONJ
fcis-21102	27	4	one	one	NUM
fcis-21102	27	5	of	of	ADP
fcis-21102	27	6	the	the	DET
fcis-21102	27	7	most	most	ADV
fcis-21102	27	8	promising	promising	ADJ
fcis-21102	27	9	public	public	ADJ
fcis-21102	27	10	blockchain	blockchain	PROPN
fcis-21102	27	11	projects	project	NOUN
fcis-21102	27	12	,	,	PUNCT
fcis-21102	27	13	related	related	ADJ
fcis-21102	27	14	research	research	NOUN
fcis-21102	27	15	on	on	ADP
fcis-21102	27	16	ethereum	ethereum	NOUN
fcis-21102	27	17	eclipse	eclipse	NOUN
fcis-21102	27	18	attacks	attack	NOUN
fcis-21102	27	19	has	have	VERB
fcis-21102	27	20	more	more	ADV
fcis-21102	27	21	important	important	ADJ
fcis-21102	27	22	value	value	NOUN
fcis-21102	27	23	.	.	PUNCT
fcis-21102	28	1	this	this	DET
fcis-21102	28	2	article	article	NOUN
fcis-21102	28	3	systematically	systematically	ADV
fcis-21102	28	4	analyzes	analyze	VERB
fcis-21102	28	5	the	the	DET
fcis-21102	28	6	operating	operating	NOUN
fcis-21102	28	7	mechanism	mechanism	NOUN
fcis-21102	28	8	and	and	CCONJ
fcis-21102	28	9	potential	potential	ADJ
fcis-21102	28	10	security	security	NOUN
fcis-21102	28	11	risks	risk	NOUN
fcis-21102	28	12	of	of	ADP
fcis-21102	28	13	the	the	DET
fcis-21102	28	14	ethereum	ethereum	NOUN
fcis-21102	28	15	network	network	NOUN
fcis-21102	28	16	through	through	ADP
fcis-21102	28	17	in	in	ADP
fcis-21102	28	18	-	-	PUNCT
fcis-21102	28	19	depth	depth	NOUN
fcis-21102	28	20	study	study	NOUN
fcis-21102	28	21	of	of	ADP
fcis-21102	28	22	the	the	DET
fcis-21102	28	23	principles	principle	NOUN
fcis-21102	28	24	and	and	CCONJ
fcis-21102	28	25	security	security	NOUN
fcis-21102	28	26	technologies	technology	NOUN
fcis-21102	28	27	of	of	ADP
fcis-21102	28	28	the	the	DET
fcis-21102	28	29	ethereum	ethereum	NOUN
fcis-21102	28	30	peer	peer	NOUN
fcis-21102	28	31	-	-	PUNCT
fcis-21102	28	32	topeer	topeer	NOUN
fcis-21102	28	33	network	network	NOUN
fcis-21102	28	34	.	.	PUNCT
fcis-21102	29	1	this	this	DET
fcis-21102	29	2	article	article	NOUN
fcis-21102	29	3	focuses	focus	VERB
fcis-21102	29	4	on	on	ADP
fcis-21102	29	5	the	the	DET
fcis-21102	29	6	eclipse	eclipse	NOUN
fcis-21102	29	7	attack	attack	NOUN
fcis-21102	29	8	against	against	ADP
fcis-21102	29	9	ethereum	ethereum	NOUN
fcis-21102	29	10	.	.	PUNCT
fcis-21102	30	1	by	by	ADP
fcis-21102	30	2	exploring	explore	VERB
fcis-21102	30	3	new	new	ADJ
fcis-21102	30	4	detection	detection	NOUN
fcis-21102	30	5	algorithms	algorithm	NOUN
fcis-21102	30	6	and	and	CCONJ
fcis-21102	30	7	defense	defense	NOUN
fcis-21102	30	8	mechanisms	mechanism	NOUN
fcis-21102	30	9	,	,	PUNCT
fcis-21102	30	10	it	it	PRON
fcis-21102	30	11	can	can	AUX
fcis-21102	30	12	provide	provide	VERB
fcis-21102	30	13	new	new	ADJ
fcis-21102	30	14	ideas	idea	NOUN
fcis-21102	30	15	and	and	CCONJ
fcis-21102	30	16	methods	method	NOUN
fcis-21102	30	17	for	for	ADP
fcis-21102	30	18	research	research	NOUN
fcis-21102	30	19	in	in	ADP
fcis-21102	30	20	the	the	DET
fcis-21102	30	21	field	field	NOUN
fcis-21102	30	22	of	of	ADP
fcis-21102	30	23	blockchain	blockchain	PROPN
fcis-21102	30	24	network	network	PROPN
fcis-21102	30	25	security	security	PROPN
fcis-21102	30	26	.	.	PUNCT
fcis-21102	31	1	at	at	ADP
fcis-21102	31	2	the	the	DET
fcis-21102	31	3	same	same	ADJ
fcis-21102	31	4	time	time	NOUN
fcis-21102	31	5	,	,	PUNCT
fcis-21102	31	6	with	with	ADP
fcis-21102	31	7	the	the	DET
fcis-21102	31	8	help	help	NOUN
fcis-21102	31	9	of	of	ADP
fcis-21102	31	10	ethereum	ethereum	NOUN
fcis-21102	31	11	as	as	ADP
fcis-21102	31	12	a	a	DET
fcis-21102	31	13	research	research	NOUN
fcis-21102	31	14	environment	environment	NOUN
fcis-21102	31	15	,	,	PUNCT
fcis-21102	31	16	the	the	DET
fcis-21102	31	17	characteristics	characteristic	NOUN
fcis-21102	31	18	of	of	ADP
fcis-21102	31	19	the	the	DET
fcis-21102	31	20	blockchain	blockchain	PROPN
fcis-21102	31	21	system	system	NOUN
fcis-21102	31	22	and	and	CCONJ
fcis-21102	31	23	its	its	PRON
fcis-21102	31	24	existing	exist	VERB
fcis-21102	31	25	security	security	NOUN
fcis-21102	31	26	vulnerabilities	vulnerability	NOUN
fcis-21102	31	27	are	be	AUX
fcis-21102	31	28	analyzed	analyze	VERB
fcis-21102	31	29	.	.	PUNCT
fcis-21102	32	1	researching	research	VERB
fcis-21102	32	2	and	and	CCONJ
fcis-21102	32	3	implementing	implement	VERB
fcis-21102	32	4	the	the	DET
fcis-21102	32	5	detection	detection	NOUN
fcis-21102	32	6	of	of	ADP
fcis-21102	32	7	eclipse	eclipse	NOUN
fcis-21102	32	8	attacks	attack	NOUN
fcis-21102	32	9	on	on	ADP
fcis-21102	32	10	ethereum	ethereum	NOUN
fcis-21102	32	11	has	have	VERB
fcis-21102	32	12	important	important	ADJ
fcis-21102	32	13	practical	practical	ADJ
fcis-21102	32	14	significance	significance	NOUN
fcis-21102	32	15	and	and	CCONJ
fcis-21102	32	16	research	research	NOUN
fcis-21102	32	17	value	value	NOUN
fcis-21102	32	18	.	.	PUNCT
fcis-21102	33	1	2	2	X
fcis-21102	33	2	.	.	X
fcis-21102	33	3	eclipse	eclipse	NOUN
fcis-21102	33	4	attack	attack	NOUN
fcis-21102	33	5	on	on	ADP
fcis-21102	33	6	blockchain	blockchain	PROPN
fcis-21102	33	7	2.1	2.1	NUM
fcis-21102	33	8	.	.	PUNCT
fcis-21102	34	1	attack	attack	NOUN
fcis-21102	34	2	principle	principle	NOUN
fcis-21102	34	3	the	the	DET
fcis-21102	34	4	eclipse	eclipse	NOUN
fcis-21102	34	5	attack	attack	NOUN
fcis-21102	34	6	is	be	AUX
fcis-21102	34	7	a	a	DET
fcis-21102	34	8	typical	typical	ADJ
fcis-21102	34	9	blockchain	blockchain	PROPN
fcis-21102	34	10	network	network	NOUN
fcis-21102	34	11	layer	layer	NOUN
fcis-21102	34	12	attack	attack	NOUN
fcis-21102	34	13	that	that	PRON
fcis-21102	34	14	adds	add	VERB
fcis-21102	34	15	a	a	DET
fcis-21102	34	16	large	large	ADJ
fcis-21102	34	17	number	number	NOUN
fcis-21102	34	18	of	of	ADP
fcis-21102	34	19	malicious	malicious	ADJ
fcis-21102	34	20	nodes	node	NOUN
fcis-21102	34	21	to	to	ADP
fcis-21102	34	22	the	the	DET
fcis-21102	34	23	neighbor	neighbor	NOUN
fcis-21102	34	24	node	node	NOUN
fcis-21102	34	25	set	set	NOUN
fcis-21102	34	26	of	of	ADP
fcis-21102	34	27	normal	normal	ADJ
fcis-21102	34	28	nodes	node	NOUN
fcis-21102	34	29	by	by	ADP
fcis-21102	34	30	invading	invade	VERB
fcis-21102	34	31	the	the	DET
fcis-21102	34	32	routing	routing	NOUN
fcis-21102	34	33	table	table	NOUN
fcis-21102	34	34	of	of	ADP
fcis-21102	34	35	blockchain	blockchain	PROPN
fcis-21102	34	36	network	network	NOUN
fcis-21102	34	37	nodes	nod	VERB
fcis-21102	34	38	.	.	PUNCT
fcis-21102	35	1	afterwards	afterwards	ADV
fcis-21102	35	2	,	,	PUNCT
fcis-21102	35	3	before	before	SCONJ
fcis-21102	35	4	the	the	DET
fcis-21102	35	5	attacker	attacker	NOUN
fcis-21102	35	6	restarts	restart	VERB
fcis-21102	35	7	the	the	DET
fcis-21102	35	8	victim	victim	NOUN
fcis-21102	35	9	node	node	NOUN
fcis-21102	35	10	in	in	ADP
fcis-21102	35	11	the	the	DET
fcis-21102	35	12	blockchain	blockchain	NOUN
fcis-21102	35	13	,	,	PUNCT
fcis-21102	35	14	they	they	PRON
fcis-21102	35	15	create	create	VERB
fcis-21102	35	16	malicious	malicious	ADJ
fcis-21102	35	17	request	request	NOUN
fcis-21102	35	18	links	link	NOUN
fcis-21102	35	19	and	and	CCONJ
fcis-21102	35	20	fill	fill	VERB
fcis-21102	35	21	up	up	ADP
fcis-21102	35	22	the	the	DET
fcis-21102	35	23	victim	victim	NOUN
fcis-21102	35	24	node	node	NOUN
fcis-21102	35	25	's	's	PART
fcis-21102	35	26	routing	routing	NOUN
fcis-21102	35	27	table	table	NOUN
fcis-21102	35	28	.	.	PUNCT
fcis-21102	36	1	this	this	DET
fcis-21102	36	2	forces	force	VERB
fcis-21102	36	3	the	the	DET
fcis-21102	36	4	victim	victim	NOUN
fcis-21102	36	5	node	node	NOUN
fcis-21102	36	6	to	to	PART
fcis-21102	36	7	establish	establish	VERB
fcis-21102	36	8	a	a	DET
fcis-21102	36	9	routing	routing	NOUN
fcis-21102	36	10	connection	connection	NOUN
fcis-21102	36	11	with	with	ADP
fcis-21102	36	12	the	the	DET
fcis-21102	36	13	attacker	attacker	NOUN
fcis-21102	36	14	after	after	ADP
fcis-21102	36	15	restarting	restart	VERB
fcis-21102	36	16	.	.	PUNCT
fcis-21102	37	1	furthermore	furthermore	ADV
fcis-21102	37	2	,	,	PUNCT
fcis-21102	37	3	the	the	DET
fcis-21102	37	4	attacker	attacker	NOUN
fcis-21102	37	5	continues	continue	VERB
fcis-21102	37	6	to	to	PART
fcis-21102	37	7	initiate	initiate	VERB
fcis-21102	37	8	inbound	inbound	ADJ
fcis-21102	37	9	connection	connection	NOUN
fcis-21102	37	10	requests	request	NOUN
fcis-21102	37	11	to	to	ADP
fcis-21102	37	12	the	the	DET
fcis-21102	37	13	victim	victim	NOUN
fcis-21102	37	14	node	node	NOUN
fcis-21102	37	15	,	,	PUNCT
fcis-21102	37	16	with	with	ADP
fcis-21102	37	17	the	the	DET
fcis-21102	37	18	purpose	purpose	NOUN
fcis-21102	37	19	of	of	ADP
fcis-21102	37	20	occupying	occupy	VERB
fcis-21102	37	21	the	the	DET
fcis-21102	37	22	victim	victim	NOUN
fcis-21102	37	23	node	node	NOUN
fcis-21102	37	24	's	's	PART
fcis-21102	37	25	communication	communication	NOUN
fcis-21102	37	26	channel	channel	NOUN
fcis-21102	37	27	and	and	CCONJ
fcis-21102	37	28	controlling	control	VERB
fcis-21102	37	29	the	the	DET
fcis-21102	37	30	flow	flow	NOUN
fcis-21102	37	31	of	of	ADP
fcis-21102	37	32	information	information	NOUN
fcis-21102	37	33	.	.	PUNCT
fcis-21102	38	1	as	as	ADP
fcis-21102	38	2	a	a	DET
fcis-21102	38	3	result	result	NOUN
fcis-21102	38	4	,	,	PUNCT
fcis-21102	38	5	affected	affected	ADJ
fcis-21102	38	6	miner	miner	NOUN
fcis-21102	38	7	nodes	node	NOUN
fcis-21102	38	8	have	have	VERB
fcis-21102	38	9	to	to	PART
fcis-21102	38	10	process	process	VERB
fcis-21102	38	11	and	and	CCONJ
fcis-21102	38	12	pass	pass	VERB
fcis-21102	38	13	on	on	ADP
fcis-21102	38	14	erroneous	erroneous	ADJ
fcis-21102	38	15	or	or	CCONJ
fcis-21102	38	16	malicious	malicious	ADJ
fcis-21102	38	17	blockchain	blockchain	NOUN
fcis-21102	38	18	ledger	ledger	NOUN
fcis-21102	38	19	data	datum	NOUN
fcis-21102	38	20	sent	send	VERB
fcis-21102	38	21	by	by	ADP
fcis-21102	38	22	the	the	DET
fcis-21102	38	23	attacker	attacker	PROPN
fcis-21102	38	24	.	.	PUNCT
fcis-21102	39	1	through	through	ADP
fcis-21102	39	2	this	this	DET
fcis-21102	39	3	step	step	NOUN
fcis-21102	39	4	-	-	PUNCT
fcis-21102	39	5	by	by	ADP
fcis-21102	39	6	-	-	PUNCT
fcis-21102	39	7	step	step	NOUN
fcis-21102	39	8	strategy	strategy	NOUN
fcis-21102	39	9	,	,	PUNCT
fcis-21102	39	10	eclipse	eclipse	NOUN
fcis-21102	39	11	attacks	attack	NOUN
fcis-21102	39	12	can	can	AUX
fcis-21102	39	13	gradually	gradually	ADV
fcis-21102	39	14	control	control	VERB
fcis-21102	39	15	the	the	DET
fcis-21102	39	16	blockchain	blockchain	PROPN
fcis-21102	39	17	network	network	NOUN
fcis-21102	39	18	layer	layer	NOUN
fcis-21102	39	19	channels	channel	NOUN
fcis-21102	39	20	and	and	CCONJ
fcis-21102	39	21	data	datum	NOUN
fcis-21102	39	22	flows	flow	NOUN
fcis-21102	39	23	of	of	ADP
fcis-21102	39	24	more	more	ADJ
fcis-21102	39	25	nodes	node	NOUN
fcis-21102	39	26	.	.	PUNCT
fcis-21102	40	1	such	such	ADJ
fcis-21102	40	2	attacks	attack	NOUN
fcis-21102	40	3	ultimately	ultimately	ADV
fcis-21102	40	4	destroy	destroy	VERB
fcis-21102	40	5	the	the	DET
fcis-21102	40	6	routing	routing	NOUN
fcis-21102	40	7	structure	structure	NOUN
fcis-21102	40	8	of	of	ADP
fcis-21102	40	9	the	the	DET
fcis-21102	40	10	attacked	attack	VERB
fcis-21102	40	11	subnet	subnet	NOUN
fcis-21102	40	12	,	,	PUNCT
fcis-21102	40	13	resulting	result	VERB
fcis-21102	40	14	in	in	ADP
fcis-21102	40	15	a	a	DET
fcis-21102	40	16	waste	waste	NOUN
fcis-21102	40	17	of	of	ADP
fcis-21102	40	18	computing	compute	VERB
fcis-21102	40	19	resources	resource	NOUN
fcis-21102	40	20	and	and	CCONJ
fcis-21102	40	21	allowing	allow	VERB
fcis-21102	40	22	the	the	DET
fcis-21102	40	23	attacker	attacker	NOUN
fcis-21102	40	24	to	to	PART
fcis-21102	40	25	gain	gain	VERB
fcis-21102	40	26	an	an	DET
fcis-21102	40	27	advantage	advantage	NOUN
fcis-21102	40	28	in	in	ADP
fcis-21102	40	29	computing	compute	VERB
fcis-21102	40	30	power	power	NOUN
fcis-21102	40	31	.	.	PUNCT
fcis-21102	41	1	when	when	SCONJ
fcis-21102	41	2	a	a	DET
fcis-21102	41	3	node	node	NOUN
fcis-21102	41	4	is	be	AUX
fcis-21102	41	5	attacked	attack	VERB
fcis-21102	41	6	by	by	ADP
fcis-21102	41	7	eclipse	eclipse	NOUN
fcis-21102	41	8	,	,	PUNCT
fcis-21102	41	9	most	most	ADJ
fcis-21102	41	10	of	of	ADP
fcis-21102	41	11	the	the	DET
fcis-21102	41	12	node	node	NOUN
fcis-21102	41	13	's	's	PART
fcis-21102	41	14	external	external	ADJ
fcis-21102	41	15	99	99	NUM
fcis-21102	41	16	connections	connection	NOUN
fcis-21102	41	17	will	will	AUX
fcis-21102	41	18	be	be	AUX
fcis-21102	41	19	controlled	control	VERB
fcis-21102	41	20	by	by	ADP
fcis-21102	41	21	malicious	malicious	ADJ
fcis-21102	41	22	nodes	node	NOUN
fcis-21102	41	23	,	,	PUNCT
fcis-21102	41	24	allowing	allow	VERB
fcis-21102	41	25	the	the	DET
fcis-21102	41	26	attacker	attacker	NOUN
fcis-21102	41	27	to	to	PART
fcis-21102	41	28	carry	carry	VERB
fcis-21102	41	29	out	out	ADP
fcis-21102	41	30	further	further	ADJ
fcis-21102	41	31	attacks	attack	NOUN
fcis-21102	41	32	[	[	X
fcis-21102	41	33	5	5	NUM
fcis-21102	41	34	]	]	PUNCT
fcis-21102	41	35	.	.	PUNCT
fcis-21102	42	1	the	the	DET
fcis-21102	42	2	principle	principle	NOUN
fcis-21102	42	3	of	of	ADP
fcis-21102	42	4	ethereum	ethereum	NOUN
fcis-21102	42	5	eclipse	eclipse	NOUN
fcis-21102	42	6	attack	attack	NOUN
fcis-21102	42	7	is	be	AUX
fcis-21102	42	8	shown	show	VERB
fcis-21102	42	9	in	in	ADP
fcis-21102	42	10	the	the	DET
fcis-21102	42	11	figure	figure	NOUN
fcis-21102	42	12	1	1	NUM
fcis-21102	42	13	.	.	PUNCT
fcis-21102	42	14	figure	figure	NOUN
fcis-21102	42	15	1	1	NUM
fcis-21102	42	16	.	.	PUNCT
fcis-21102	43	1	ethereum	ethereum	NOUN
fcis-21102	43	2	eclipse	eclipse	NOUN
fcis-21102	43	3	attack	attack	NOUN
fcis-21102	43	4	principle	principle	NOUN
fcis-21102	43	5	2.2	2.2	NUM
fcis-21102	43	6	.	.	PUNCT
fcis-21102	44	1	safety	safety	NOUN
fcis-21102	44	2	hazards	hazards	ADP
fcis-21102	44	3	heilman	heilman	PROPN
fcis-21102	44	4	et	et	PROPN
fcis-21102	44	5	al	al	PROPN
fcis-21102	44	6	.	.	PROPN
fcis-21102	44	7	highlighted	highlight	VERB
fcis-21102	44	8	this	this	DET
fcis-21102	44	9	potential	potential	ADJ
fcis-21102	44	10	risk	risk	NOUN
fcis-21102	44	11	by	by	ADP
fcis-21102	44	12	defining	define	VERB
fcis-21102	44	13	and	and	CCONJ
fcis-21102	44	14	demonstrating	demonstrate	VERB
fcis-21102	44	15	the	the	DET
fcis-21102	44	16	first	first	ADJ
fcis-21102	44	17	eclipse	eclipse	NOUN
fcis-21102	44	18	attack	attack	NOUN
fcis-21102	44	19	on	on	ADP
fcis-21102	44	20	the	the	DET
fcis-21102	44	21	bitcoin	bitcoin	ADJ
fcis-21102	44	22	peerto	peerto	ADJ
fcis-21102	44	23	-	-	PUNCT
fcis-21102	44	24	peer	peer	NOUN
fcis-21102	44	25	network	network	NOUN
fcis-21102	44	26	[	[	X
fcis-21102	44	27	3	3	NUM
fcis-21102	44	28	]	]	PUNCT
fcis-21102	44	29	.	.	PUNCT
fcis-21102	45	1	in	in	ADP
fcis-21102	45	2	an	an	DET
fcis-21102	45	3	attack	attack	NOUN
fcis-21102	45	4	,	,	PUNCT
fcis-21102	45	5	the	the	DET
fcis-21102	45	6	attacker	attacker	NOUN
fcis-21102	45	7	has	have	VERB
fcis-21102	45	8	complete	complete	ADJ
fcis-21102	45	9	control	control	NOUN
fcis-21102	45	10	over	over	ADP
fcis-21102	45	11	their	their	PRON
fcis-21102	45	12	target	target	NOUN
fcis-21102	45	13	's	's	PART
fcis-21102	45	14	access	access	NOUN
fcis-21102	45	15	to	to	ADP
fcis-21102	45	16	other	other	ADJ
fcis-21102	45	17	network	network	NOUN
fcis-21102	45	18	nodes	node	NOUN
fcis-21102	45	19	,	,	PUNCT
fcis-21102	45	20	allowing	allow	VERB
fcis-21102	45	21	the	the	DET
fcis-21102	45	22	attacker	attacker	NOUN
fcis-21102	45	23	to	to	PART
fcis-21102	45	24	prevent	prevent	VERB
fcis-21102	45	25	the	the	DET
fcis-21102	45	26	target	target	NOUN
fcis-21102	45	27	from	from	ADP
fcis-21102	45	28	viewing	view	VERB
fcis-21102	45	29	the	the	DET
fcis-21102	45	30	ledger	ledger	NOUN
fcis-21102	45	31	and	and	CCONJ
fcis-21102	45	32	even	even	ADV
fcis-21102	45	33	further	far	ADV
fcis-21102	45	34	exploit	exploit	VERB
fcis-21102	45	35	the	the	DET
fcis-21102	45	36	target	target	NOUN
fcis-21102	45	37	's	's	PART
fcis-21102	45	38	computing	compute	VERB
fcis-21102	45	39	resources	resource	NOUN
fcis-21102	45	40	to	to	PART
fcis-21102	45	41	conduct	conduct	VERB
fcis-21102	45	42	more	more	ADJ
fcis-21102	45	43	complex	complex	ADJ
fcis-21102	45	44	attacks	attack	NOUN
fcis-21102	45	45	.	.	PUNCT
fcis-21102	46	1	the	the	DET
fcis-21102	46	2	eclipse	eclipse	NOUN
fcis-21102	46	3	attack	attack	NOUN
fcis-21102	46	4	can	can	AUX
fcis-21102	46	5	serve	serve	VERB
fcis-21102	46	6	as	as	ADP
fcis-21102	46	7	a	a	DET
fcis-21102	46	8	precursor	precursor	NOUN
fcis-21102	46	9	to	to	ADP
fcis-21102	46	10	other	other	ADJ
fcis-21102	46	11	attacks	attack	NOUN
fcis-21102	46	12	on	on	ADP
fcis-21102	46	13	blockchain	blockchain	PROPN
fcis-21102	46	14	platforms	platform	NOUN
fcis-21102	46	15	.	.	PUNCT
fcis-21102	47	1	this	this	DET
fcis-21102	47	2	work	work	NOUN
fcis-21102	47	3	demonstrates	demonstrate	VERB
fcis-21102	47	4	that	that	SCONJ
fcis-21102	47	5	eclipse	eclipse	NOUN
fcis-21102	47	6	attacks	attack	NOUN
fcis-21102	47	7	can	can	AUX
fcis-21102	47	8	be	be	AUX
fcis-21102	47	9	used	use	VERB
fcis-21102	47	10	to	to	PART
fcis-21102	47	11	impact	impact	VERB
fcis-21102	47	12	the	the	DET
fcis-21102	47	13	mining	mining	NOUN
fcis-21102	47	14	capabilities	capability	NOUN
fcis-21102	47	15	of	of	ADP
fcis-21102	47	16	an	an	DET
fcis-21102	47	17	attack	attack	NOUN
fcis-21102	47	18	target	target	NOUN
fcis-21102	47	19	,	,	PUNCT
fcis-21102	47	20	thereby	thereby	ADV
fcis-21102	47	21	attacking	attack	VERB
fcis-21102	47	22	the	the	DET
fcis-21102	47	23	underlying	underlie	VERB
fcis-21102	47	24	blockchain	blockchain	PROPN
fcis-21102	47	25	consensus	consensus	NOUN
fcis-21102	47	26	algorithm	algorithm	PROPN
fcis-21102	47	27	.	.	PUNCT
fcis-21102	48	1	atzei	atzei	VERB
fcis-21102	48	2	et	et	PROPN
fcis-21102	48	3	al	al	PROPN
fcis-21102	48	4	.	.	PUNCT
fcis-21102	49	1	[	[	X
fcis-21102	49	2	6	6	NUM
fcis-21102	49	3	]	]	PUNCT
fcis-21102	49	4	further	far	ADV
fcis-21102	49	5	pointed	point	VERB
fcis-21102	49	6	out	out	ADP
fcis-21102	49	7	that	that	SCONJ
fcis-21102	49	8	ethereum	ethereum	NOUN
fcis-21102	49	9	smart	smart	ADJ
fcis-21102	49	10	contracts	contract	NOUN
fcis-21102	49	11	may	may	AUX
fcis-21102	49	12	be	be	AUX
fcis-21102	49	13	attacked	attack	VERB
fcis-21102	49	14	in	in	ADP
fcis-21102	49	15	cases	case	NOUN
fcis-21102	49	16	where	where	SCONJ
fcis-21102	49	17	nodes	node	NOUN
fcis-21102	49	18	receive	receive	VERB
fcis-21102	49	19	inconsistent	inconsistent	ADJ
fcis-21102	49	20	ledger	ledger	NOUN
fcis-21102	49	21	information	information	NOUN
fcis-21102	49	22	.	.	PUNCT
fcis-21102	50	1	at	at	ADP
fcis-21102	50	2	the	the	DET
fcis-21102	50	3	same	same	ADJ
fcis-21102	50	4	time	time	NOUN
fcis-21102	50	5	,	,	PUNCT
fcis-21102	50	6	eclipse	eclipse	NOUN
fcis-21102	50	7	attacks	attack	NOUN
fcis-21102	50	8	can	can	AUX
fcis-21102	50	9	be	be	AUX
fcis-21102	50	10	exploited	exploit	VERB
fcis-21102	50	11	as	as	ADP
fcis-21102	50	12	part	part	NOUN
fcis-21102	50	13	of	of	ADP
fcis-21102	50	14	a	a	DET
fcis-21102	50	15	countermeasure	countermeasure	NOUN
fcis-21102	50	16	strategy	strategy	NOUN
fcis-21102	50	17	to	to	PART
fcis-21102	50	18	inject	inject	VERB
fcis-21102	50	19	inconsistencies	inconsistency	NOUN
fcis-21102	50	20	.	.	PUNCT
fcis-21102	51	1	later	later	ADV
fcis-21102	51	2	,	,	PUNCT
fcis-21102	51	3	anderson	anderson	PROPN
fcis-21102	51	4	et	et	PROPN
fcis-21102	51	5	al	al	PROPN
fcis-21102	51	6	.	.	PUNCT
fcis-21102	52	1	[	[	X
fcis-21102	52	2	7	7	X
fcis-21102	52	3	]	]	PUNCT
fcis-21102	52	4	demonstrated	demonstrate	VERB
fcis-21102	52	5	that	that	SCONJ
fcis-21102	52	6	the	the	DET
fcis-21102	52	7	same	same	ADJ
fcis-21102	52	8	attack	attack	NOUN
fcis-21102	52	9	also	also	ADV
fcis-21102	52	10	affects	affect	VERB
fcis-21102	52	11	the	the	DET
fcis-21102	52	12	ethereum	ethereum	NOUN
fcis-21102	52	13	peer	peer	NOUN
fcis-21102	52	14	-	-	PUNCT
fcis-21102	52	15	to	to	ADP
fcis-21102	52	16	-	-	PUNCT
fcis-21102	52	17	peer	peer	NOUN
fcis-21102	52	18	network	network	NOUN
fcis-21102	52	19	,	,	PUNCT
fcis-21102	52	20	destabilizing	destabilize	VERB
fcis-21102	52	21	the	the	DET
fcis-21102	52	22	platform	platform	NOUN
fcis-21102	52	23	..	..	PUNCT
fcis-21102	52	24	2.3	2.3	NUM
fcis-21102	52	25	.	.	PUNCT
fcis-21102	53	1	defense	defense	NOUN
fcis-21102	53	2	strategy	strategy	PROPN
fcis-21102	53	3	heilman	heilman	PROPN
fcis-21102	53	4	et	et	PROPN
fcis-21102	53	5	al	al	PROPN
fcis-21102	53	6	.	.	PUNCT
fcis-21102	54	1	[	[	X
fcis-21102	54	2	3	3	NUM
fcis-21102	54	3	]	]	PUNCT
fcis-21102	54	4	first	first	ADV
fcis-21102	54	5	proposed	propose	VERB
fcis-21102	54	6	the	the	DET
fcis-21102	54	7	eclipse	eclipse	NOUN
fcis-21102	54	8	attack	attack	NOUN
fcis-21102	54	9	method	method	NOUN
fcis-21102	54	10	in	in	ADP
fcis-21102	54	11	the	the	DET
fcis-21102	54	12	bitcoin	bitcoin	ADJ
fcis-21102	54	13	p2p	p2p	NOUN
fcis-21102	54	14	network	network	NOUN
fcis-21102	54	15	and	and	CCONJ
fcis-21102	54	16	highlighted	highlight	VERB
fcis-21102	54	17	the	the	DET
fcis-21102	54	18	potential	potential	ADJ
fcis-21102	54	19	risks	risk	NOUN
fcis-21102	54	20	associated	associate	VERB
fcis-21102	54	21	with	with	ADP
fcis-21102	54	22	this	this	DET
fcis-21102	54	23	attack	attack	NOUN
fcis-21102	54	24	.	.	PUNCT
fcis-21102	55	1	attackers	attacker	NOUN
fcis-21102	55	2	can	can	AUX
fcis-21102	55	3	exploit	exploit	VERB
fcis-21102	55	4	vulnerabilities	vulnerability	NOUN
fcis-21102	55	5	in	in	ADP
fcis-21102	55	6	the	the	DET
fcis-21102	55	7	blockchain	blockchain	PROPN
fcis-21102	55	8	consensus	consensus	NOUN
fcis-21102	55	9	mechanism	mechanism	NOUN
fcis-21102	55	10	to	to	PART
fcis-21102	55	11	control	control	VERB
fcis-21102	55	12	the	the	DET
fcis-21102	55	13	routing	routing	NOUN
fcis-21102	55	14	information	information	NOUN
fcis-21102	55	15	of	of	ADP
fcis-21102	55	16	attacked	attack	VERB
fcis-21102	55	17	nodes	node	NOUN
fcis-21102	55	18	,	,	PUNCT
fcis-21102	55	19	restrict	restrict	VERB
fcis-21102	55	20	the	the	DET
fcis-21102	55	21	communication	communication	NOUN
fcis-21102	55	22	between	between	ADP
fcis-21102	55	23	these	these	DET
fcis-21102	55	24	nodes	node	NOUN
fcis-21102	55	25	and	and	CCONJ
fcis-21102	55	26	other	other	ADJ
fcis-21102	55	27	nodes	node	NOUN
fcis-21102	55	28	,	,	PUNCT
fcis-21102	55	29	and	and	CCONJ
fcis-21102	55	30	prevent	prevent	VERB
fcis-21102	55	31	the	the	DET
fcis-21102	55	32	attacked	attack	VERB
fcis-21102	55	33	nodes	node	NOUN
fcis-21102	55	34	from	from	ADP
fcis-21102	55	35	obtaining	obtain	VERB
fcis-21102	55	36	correct	correct	ADJ
fcis-21102	55	37	ledger	ledger	NOUN
fcis-21102	55	38	data	datum	NOUN
fcis-21102	55	39	.	.	PUNCT
fcis-21102	56	1	furthermore	furthermore	ADV
fcis-21102	56	2	,	,	PUNCT
fcis-21102	56	3	sophisticated	sophisticated	ADJ
fcis-21102	56	4	attacks	attack	NOUN
fcis-21102	56	5	can	can	AUX
fcis-21102	56	6	be	be	AUX
fcis-21102	56	7	launched	launch	VERB
fcis-21102	56	8	against	against	ADP
fcis-21102	56	9	the	the	DET
fcis-21102	56	10	computing	compute	VERB
fcis-21102	56	11	resources	resource	NOUN
fcis-21102	56	12	of	of	ADP
fcis-21102	56	13	the	the	DET
fcis-21102	56	14	compromised	compromise	VERB
fcis-21102	56	15	node	node	NOUN
fcis-21102	56	16	,	,	PUNCT
fcis-21102	56	17	which	which	PRON
fcis-21102	56	18	affects	affect	VERB
fcis-21102	56	19	the	the	DET
fcis-21102	56	20	victim	victim	NOUN
fcis-21102	56	21	’s	’s	PART
fcis-21102	56	22	mining	mining	NOUN
fcis-21102	56	23	capabilities	capability	NOUN
fcis-21102	56	24	and	and	CCONJ
fcis-21102	56	25	the	the	DET
fcis-21102	56	26	blockchain	blockchain	PROPN
fcis-21102	56	27	’s	’s	PART
fcis-21102	56	28	uplink	uplink	NOUN
fcis-21102	56	29	results	result	NOUN
fcis-21102	56	30	,	,	PUNCT
fcis-21102	56	31	thus	thus	ADV
fcis-21102	56	32	weakening	weaken	VERB
fcis-21102	56	33	the	the	DET
fcis-21102	56	34	stability	stability	NOUN
fcis-21102	56	35	of	of	ADP
fcis-21102	56	36	the	the	DET
fcis-21102	56	37	computing	computing	NOUN
fcis-21102	56	38	power	power	NOUN
fcis-21102	56	39	distribution	distribution	NOUN
fcis-21102	56	40	.	.	PUNCT
fcis-21102	57	1	according	accord	VERB
fcis-21102	57	2	to	to	ADP
fcis-21102	57	3	the	the	DET
fcis-21102	57	4	report	report	NOUN
fcis-21102	57	5	,	,	PUNCT
fcis-21102	57	6	when	when	SCONJ
fcis-21102	57	7	the	the	DET
fcis-21102	57	8	ledger	ledger	NOUN
fcis-21102	57	9	information	information	NOUN
fcis-21102	57	10	received	receive	VERB
fcis-21102	57	11	by	by	ADP
fcis-21102	57	12	ethereum	ethereum	NOUN
fcis-21102	57	13	nodes	node	NOUN
fcis-21102	57	14	is	be	AUX
fcis-21102	57	15	inconsistent	inconsistent	ADJ
fcis-21102	57	16	,	,	PUNCT
fcis-21102	57	17	attackers	attacker	NOUN
fcis-21102	57	18	can	can	AUX
fcis-21102	57	19	also	also	ADV
fcis-21102	57	20	exploit	exploit	VERB
fcis-21102	57	21	vulnerabilities	vulnerability	NOUN
fcis-21102	57	22	in	in	ADP
fcis-21102	57	23	ethereum	ethereum	NOUN
fcis-21102	57	24	smart	smart	ADJ
fcis-21102	57	25	contracts	contract	NOUN
fcis-21102	57	26	to	to	PART
fcis-21102	57	27	launch	launch	VERB
fcis-21102	57	28	eclipse	eclipse	NOUN
fcis-21102	57	29	attacks	attack	NOUN
fcis-21102	57	30	.	.	PUNCT
fcis-21102	58	1	in	in	ADP
fcis-21102	58	2	addition	addition	NOUN
fcis-21102	58	3	,	,	PUNCT
fcis-21102	58	4	yuval	yuval	PROPN
fcis-21102	58	5	marcus	marcus	PROPN
fcis-21102	58	6	et	et	PROPN
fcis-21102	58	7	al	al	PROPN
fcis-21102	58	8	.	.	PUNCT
fcis-21102	59	1	[	[	X
fcis-21102	59	2	8	8	NUM
fcis-21102	59	3	]	]	PUNCT
fcis-21102	59	4	experimentally	experimentally	ADV
fcis-21102	59	5	proved	prove	VERB
fcis-21102	59	6	that	that	SCONJ
fcis-21102	59	7	eclipse	eclipse	NOUN
fcis-21102	59	8	attacks	attack	NOUN
fcis-21102	59	9	can	can	AUX
fcis-21102	59	10	directly	directly	ADV
fcis-21102	59	11	affect	affect	VERB
fcis-21102	59	12	the	the	DET
fcis-21102	59	13	security	security	NOUN
fcis-21102	59	14	of	of	ADP
fcis-21102	59	15	each	each	DET
fcis-21102	59	16	ethereum	ethereum	NOUN
fcis-21102	59	17	node	node	NOUN
fcis-21102	59	18	and	and	CCONJ
fcis-21102	59	19	destroy	destroy	VERB
fcis-21102	59	20	the	the	DET
fcis-21102	59	21	stability	stability	NOUN
fcis-21102	59	22	of	of	ADP
fcis-21102	59	23	the	the	DET
fcis-21102	59	24	blockchain	blockchain	PROPN
fcis-21102	59	25	system	system	NOUN
fcis-21102	59	26	.	.	PUNCT
fcis-21102	60	1	the	the	DET
fcis-21102	60	2	eclipse	eclipse	NOUN
fcis-21102	60	3	attack	attack	NOUN
fcis-21102	60	4	detection	detection	NOUN
fcis-21102	60	5	method	method	NOUN
fcis-21102	60	6	in	in	ADP
fcis-21102	60	7	blockchain	blockchain	PROPN
fcis-21102	60	8	has	have	AUX
fcis-21102	60	9	been	be	AUX
fcis-21102	60	10	studied	study	VERB
fcis-21102	60	11	in	in	ADP
fcis-21102	60	12	previous	previous	ADJ
fcis-21102	60	13	research	research	NOUN
fcis-21102	60	14	;	;	PUNCT
fcis-21102	60	15	however	however	ADV
fcis-21102	60	16	,	,	PUNCT
fcis-21102	60	17	this	this	DET
fcis-21102	60	18	method	method	NOUN
fcis-21102	60	19	has	have	VERB
fcis-21102	60	20	some	some	DET
fcis-21102	60	21	disadvantages	disadvantage	NOUN
fcis-21102	60	22	.	.	PUNCT
fcis-21102	61	1	currently	currently	ADV
fcis-21102	61	2	,	,	PUNCT
fcis-21102	61	3	there	there	PRON
fcis-21102	61	4	are	be	VERB
fcis-21102	61	5	two	two	NUM
fcis-21102	61	6	types	type	NOUN
fcis-21102	61	7	of	of	ADP
fcis-21102	61	8	eclipse	eclipse	NOUN
fcis-21102	61	9	attack	attack	NOUN
fcis-21102	61	10	detection	detection	NOUN
fcis-21102	61	11	methods	method	NOUN
fcis-21102	61	12	.	.	PUNCT
fcis-21102	62	1	the	the	DET
fcis-21102	62	2	first	first	ADJ
fcis-21102	62	3	is	be	AUX
fcis-21102	62	4	eclipse	eclipse	NOUN
fcis-21102	62	5	detection	detection	NOUN
fcis-21102	62	6	based	base	VERB
fcis-21102	62	7	on	on	ADP
fcis-21102	62	8	routing	route	VERB
fcis-21102	62	9	topology	topology	NOUN
fcis-21102	62	10	awareness	awareness	NOUN
fcis-21102	62	11	.	.	PUNCT
fcis-21102	63	1	eclipse	eclipse	NOUN
fcis-21102	63	2	attackers	attacker	NOUN
fcis-21102	63	3	can	can	AUX
fcis-21102	63	4	send	send	VERB
fcis-21102	63	5	continuous	continuous	ADJ
fcis-21102	63	6	connection	connection	NOUN
fcis-21102	63	7	requests	request	NOUN
fcis-21102	63	8	to	to	ADP
fcis-21102	63	9	the	the	DET
fcis-21102	63	10	attacked	attack	VERB
fcis-21102	63	11	target	target	NOUN
fcis-21102	63	12	to	to	PART
fcis-21102	63	13	occupy	occupy	VERB
fcis-21102	63	14	the	the	DET
fcis-21102	63	15	node	node	NOUN
fcis-21102	63	16	's	's	PART
fcis-21102	63	17	routing	routing	NOUN
fcis-21102	63	18	table	table	NOUN
fcis-21102	63	19	,	,	PUNCT
fcis-21102	63	20	because	because	SCONJ
fcis-21102	63	21	redundant	redundant	ADJ
fcis-21102	63	22	storage	storage	NOUN
fcis-21102	63	23	exists	exist	VERB
fcis-21102	63	24	in	in	ADP
fcis-21102	63	25	the	the	DET
fcis-21102	63	26	node	node	NOUN
fcis-21102	63	27	flow	flow	NOUN
fcis-21102	63	28	table	table	NOUN
fcis-21102	63	29	of	of	ADP
fcis-21102	63	30	wireless	wireless	ADJ
fcis-21102	63	31	communication	communication	NOUN
fcis-21102	63	32	and	and	CCONJ
fcis-21102	63	33	mobile	mobile	NOUN
fcis-21102	63	34	computing	computing	NOUN
fcis-21102	63	35	networks	network	NOUN
fcis-21102	63	36	,	,	PUNCT
fcis-21102	63	37	chord	chord	NOUN
fcis-21102	63	38	and	and	CCONJ
fcis-21102	63	39	kademlia	kademlia	PROPN
fcis-21102	63	40	structures	structure	NOUN
fcis-21102	64	1	[	[	X
fcis-21102	64	2	9][10	9][10	NUM
fcis-21102	64	3	]	]	PUNCT
fcis-21102	64	4	.	.	PUNCT
fcis-21102	65	1	in	in	ADP
fcis-21102	65	2	this	this	DET
fcis-21102	65	3	case	case	NOUN
fcis-21102	65	4	,	,	PUNCT
fcis-21102	65	5	the	the	DET
fcis-21102	65	6	detector	detector	NOUN
fcis-21102	65	7	can	can	AUX
fcis-21102	65	8	analyze	analyze	VERB
fcis-21102	65	9	and	and	CCONJ
fcis-21102	65	10	model	model	VERB
fcis-21102	65	11	the	the	DET
fcis-21102	65	12	routing	routing	NOUN
fcis-21102	65	13	structure	structure	NOUN
fcis-21102	65	14	according	accord	VERB
fcis-21102	65	15	to	to	ADP
fcis-21102	65	16	various	various	ADJ
fcis-21102	65	17	parameters	parameter	NOUN
fcis-21102	65	18	,	,	PUNCT
fcis-21102	65	19	such	such	ADJ
fcis-21102	65	20	as	as	ADP
fcis-21102	65	21	the	the	DET
fcis-21102	65	22	topology	topology	NOUN
fcis-21102	65	23	of	of	ADP
fcis-21102	65	24	the	the	DET
fcis-21102	65	25	blockchain	blockchain	PROPN
fcis-21102	65	26	network	network	NOUN
fcis-21102	65	27	layer	layer	NOUN
fcis-21102	65	28	and	and	CCONJ
fcis-21102	65	29	the	the	DET
fcis-21102	65	30	routing	routing	NOUN
fcis-21102	65	31	table	table	NOUN
fcis-21102	65	32	forwarding	forward	VERB
fcis-21102	65	33	status	status	NOUN
fcis-21102	65	34	of	of	ADP
fcis-21102	65	35	key	key	ADJ
fcis-21102	65	36	nodes	node	NOUN
fcis-21102	65	37	,	,	PUNCT
fcis-21102	65	38	so	so	SCONJ
fcis-21102	65	39	that	that	SCONJ
fcis-21102	65	40	detecting	detect	VERB
fcis-21102	65	41	changes	change	NOUN
fcis-21102	65	42	in	in	ADP
fcis-21102	65	43	routing	route	VERB
fcis-21102	65	44	status	status	NOUN
fcis-21102	65	45	can	can	AUX
fcis-21102	65	46	help	help	AUX
fcis-21102	65	47	identify	identify	VERB
fcis-21102	65	48	eclipse	eclipse	NOUN
fcis-21102	65	49	occurrence	occurrence	NOUN
fcis-21102	65	50	of	of	ADP
fcis-21102	65	51	attacks	attack	NOUN
fcis-21102	65	52	[	[	X
fcis-21102	65	53	11	11	NUM
fcis-21102	65	54	]	]	PUNCT
fcis-21102	65	55	.	.	PUNCT
fcis-21102	66	1	generally	generally	ADV
fcis-21102	66	2	,	,	PUNCT
fcis-21102	66	3	such	such	ADJ
fcis-21102	66	4	detection	detection	NOUN
fcis-21102	66	5	methods	method	NOUN
fcis-21102	66	6	are	be	AUX
fcis-21102	66	7	highly	highly	ADV
fcis-21102	66	8	reliable	reliable	ADJ
fcis-21102	66	9	in	in	ADP
fcis-21102	66	10	eclipse	eclipse	NOUN
fcis-21102	66	11	attack	attack	NOUN
fcis-21102	66	12	detection	detection	NOUN
fcis-21102	66	13	results	result	NOUN
fcis-21102	66	14	and	and	CCONJ
fcis-21102	66	15	have	have	VERB
fcis-21102	66	16	high	high	ADJ
fcis-21102	66	17	reference	reference	NOUN
fcis-21102	66	18	value	value	NOUN
fcis-21102	66	19	for	for	ADP
fcis-21102	66	20	mining	mining	NOUN
fcis-21102	66	21	structural	structural	ADJ
fcis-21102	66	22	vulnerabilities	vulnerability	NOUN
fcis-21102	66	23	in	in	ADP
fcis-21102	66	24	the	the	DET
fcis-21102	66	25	blockchain	blockchain	PROPN
fcis-21102	66	26	network	network	NOUN
fcis-21102	66	27	layer	layer	NOUN
fcis-21102	67	1	[	[	X
fcis-21102	67	2	12	12	NUM
fcis-21102	67	3	]	]	PUNCT
fcis-21102	67	4	.	.	PUNCT
fcis-21102	68	1	however	however	ADV
fcis-21102	68	2	,	,	PUNCT
fcis-21102	68	3	its	its	PRON
fcis-21102	68	4	detection	detection	NOUN
fcis-21102	68	5	mode	mode	NOUN
fcis-21102	68	6	suffers	suffer	VERB
fcis-21102	68	7	from	from	ADP
fcis-21102	68	8	a	a	DET
fcis-21102	68	9	complex	complex	ADJ
fcis-21102	68	10	problem	problem	NOUN
fcis-21102	68	11	,	,	PUNCT
fcis-21102	68	12	resulting	result	VERB
fcis-21102	68	13	in	in	ADP
fcis-21102	68	14	weak	weak	ADJ
fcis-21102	68	15	generalization	generalization	NOUN
fcis-21102	68	16	and	and	CCONJ
fcis-21102	68	17	expansion	expansion	NOUN
fcis-21102	68	18	capabilities	capability	NOUN
fcis-21102	68	19	of	of	ADP
fcis-21102	68	20	the	the	DET
fcis-21102	68	21	model	model	NOUN
fcis-21102	68	22	.	.	PUNCT
fcis-21102	69	1	therefore	therefore	ADV
fcis-21102	69	2	,	,	PUNCT
fcis-21102	69	3	gaps	gap	NOUN
fcis-21102	69	4	can	can	AUX
fcis-21102	69	5	be	be	AUX
fcis-21102	69	6	discovered	discover	VERB
fcis-21102	69	7	in	in	ADP
fcis-21102	69	8	real	real	ADJ
fcis-21102	69	9	-	-	PUNCT
fcis-21102	69	10	time	time	NOUN
fcis-21102	69	11	detection	detection	NOUN
fcis-21102	69	12	of	of	ADP
fcis-21102	69	13	the	the	DET
fcis-21102	69	14	model	model	NOUN
fcis-21102	69	15	.	.	PUNCT
fcis-21102	70	1	furthermore	furthermore	ADV
fcis-21102	70	2	,	,	PUNCT
fcis-21102	70	3	it	it	PRON
fcis-21102	70	4	can	can	AUX
fcis-21102	70	5	not	not	PART
fcis-21102	70	6	adapt	adapt	VERB
fcis-21102	70	7	to	to	ADP
fcis-21102	70	8	the	the	DET
fcis-21102	70	9	dynamically	dynamically	ADV
fcis-21102	70	10	changing	change	VERB
fcis-21102	70	11	blockchain	blockchain	PROPN
fcis-21102	70	12	network	network	NOUN
fcis-21102	70	13	layer	layer	NOUN
fcis-21102	70	14	traffic	traffic	NOUN
fcis-21102	70	15	environment	environment	NOUN
fcis-21102	70	16	[	[	X
fcis-21102	70	17	13	13	NUM
fcis-21102	70	18	]	]	PUNCT
fcis-21102	70	19	because	because	SCONJ
fcis-21102	70	20	of	of	ADP
fcis-21102	70	21	its	its	PRON
fcis-21102	70	22	weak	weak	ADJ
fcis-21102	70	23	awareness	awareness	NOUN
fcis-21102	70	24	in	in	ADP
fcis-21102	70	25	dynamic	dynamic	ADJ
fcis-21102	70	26	non	non	ADJ
fcis-21102	70	27	-	-	ADJ
fcis-21102	70	28	fixed	fixed	ADJ
fcis-21102	70	29	eclipse	eclipse	NOUN
fcis-21102	70	30	attack	attack	NOUN
fcis-21102	70	31	paths	path	NOUN
fcis-21102	70	32	.	.	PUNCT
fcis-21102	71	1	the	the	DET
fcis-21102	71	2	second	second	ADJ
fcis-21102	71	3	type	type	NOUN
fcis-21102	71	4	of	of	ADP
fcis-21102	71	5	eclipse	eclipse	NOUN
fcis-21102	71	6	attack	attack	NOUN
fcis-21102	71	7	detection	detection	NOUN
fcis-21102	71	8	method	method	NOUN
fcis-21102	71	9	is	be	AUX
fcis-21102	71	10	based	base	VERB
fcis-21102	71	11	on	on	ADP
fcis-21102	71	12	link	link	NOUN
fcis-21102	71	13	traffic	traffic	NOUN
fcis-21102	71	14	status	status	NOUN
fcis-21102	71	15	analysis	analysis	NOUN
fcis-21102	71	16	.	.	PUNCT
fcis-21102	72	1	eclipse	eclipse	NOUN
fcis-21102	72	2	attackers	attacker	NOUN
fcis-21102	72	3	must	must	AUX
fcis-21102	72	4	send	send	VERB
fcis-21102	72	5	large	large	ADJ
fcis-21102	72	6	amounts	amount	NOUN
fcis-21102	72	7	of	of	ADP
fcis-21102	72	8	malicious	malicious	ADJ
fcis-21102	72	9	routing	routing	NOUN
fcis-21102	72	10	traffic	traffic	NOUN
fcis-21102	72	11	to	to	PART
fcis-21102	72	12	target	target	VERB
fcis-21102	72	13	nodes	node	NOUN
fcis-21102	72	14	and	and	CCONJ
fcis-21102	72	15	subnets	subnet	NOUN
fcis-21102	72	16	to	to	PART
fcis-21102	72	17	achieve	achieve	VERB
fcis-21102	72	18	route	route	NOUN
fcis-21102	72	19	masking	masking	NOUN
fcis-21102	72	20	and	and	CCONJ
fcis-21102	72	21	overrides	override	VERB
fcis-21102	72	22	because	because	SCONJ
fcis-21102	72	23	eclipse	eclipse	NOUN
fcis-21102	72	24	attacks	attack	NOUN
fcis-21102	72	25	are	be	AUX
fcis-21102	72	26	designed	design	VERB
fcis-21102	72	27	to	to	PART
fcis-21102	72	28	disrupt	disrupt	VERB
fcis-21102	72	29	the	the	DET
fcis-21102	72	30	routing	routing	NOUN
fcis-21102	72	31	structure	structure	NOUN
fcis-21102	72	32	.	.	PUNCT
fcis-21102	73	1	attack	attack	NOUN
fcis-21102	73	2	traffic	traffic	NOUN
fcis-21102	73	3	behavior	behavior	NOUN
fcis-21102	73	4	has	have	VERB
fcis-21102	73	5	specific	specific	ADJ
fcis-21102	73	6	distribution	distribution	NOUN
fcis-21102	73	7	rules	rule	NOUN
fcis-21102	73	8	[	[	X
fcis-21102	73	9	14	14	NUM
fcis-21102	73	10	]	]	PUNCT
fcis-21102	73	11	.	.	PUNCT
fcis-21102	74	1	in	in	ADP
fcis-21102	74	2	this	this	DET
fcis-21102	74	3	case	case	NOUN
fcis-21102	74	4	,	,	PUNCT
fcis-21102	74	5	the	the	DET
fcis-21102	74	6	proposed	propose	VERB
fcis-21102	74	7	method	method	NOUN
fcis-21102	74	8	can	can	AUX
fcis-21102	74	9	mine	mine	VERB
fcis-21102	74	10	the	the	DET
fcis-21102	74	11	core	core	ADJ
fcis-21102	74	12	characteristic	characteristic	ADJ
fcis-21102	74	13	indicators	indicator	NOUN
fcis-21102	74	14	of	of	ADP
fcis-21102	74	15	eclipse	eclipse	NOUN
fcis-21102	74	16	attacks	attack	NOUN
fcis-21102	74	17	by	by	ADP
fcis-21102	74	18	capturing	capture	VERB
fcis-21102	74	19	the	the	DET
fcis-21102	74	20	traffic	traffic	NOUN
fcis-21102	74	21	in	in	ADP
fcis-21102	74	22	the	the	DET
fcis-21102	74	23	blockchain	blockchain	PROPN
fcis-21102	74	24	network	network	NOUN
fcis-21102	74	25	layer	layer	NOUN
fcis-21102	74	26	and	and	CCONJ
fcis-21102	74	27	analyzing	analyze	VERB
fcis-21102	74	28	the	the	DET
fcis-21102	74	29	real	real	ADJ
fcis-21102	74	30	-	-	PUNCT
fcis-21102	74	31	time	time	NOUN
fcis-21102	74	32	traffic	traffic	NOUN
fcis-21102	74	33	status	status	NOUN
fcis-21102	74	34	.	.	PUNCT
fcis-21102	75	1	furthermore	furthermore	ADV
fcis-21102	75	2	,	,	PUNCT
fcis-21102	75	3	the	the	DET
fcis-21102	75	4	proposed	propose	VERB
fcis-21102	75	5	method	method	NOUN
fcis-21102	75	6	can	can	AUX
fcis-21102	75	7	build	build	VERB
fcis-21102	75	8	statistical	statistical	ADJ
fcis-21102	75	9	or	or	CCONJ
fcis-21102	75	10	machine	machine	NOUN
fcis-21102	75	11	learning	learning	NOUN
fcis-21102	75	12	models	model	NOUN
fcis-21102	75	13	to	to	PART
fcis-21102	75	14	determine	determine	VERB
fcis-21102	75	15	the	the	DET
fcis-21102	75	16	occurrence	occurrence	NOUN
fcis-21102	75	17	of	of	ADP
fcis-21102	75	18	eclipse	eclipse	NOUN
fcis-21102	75	19	attacks	attack	NOUN
fcis-21102	75	20	[	[	X
fcis-21102	75	21	4	4	NUM
fcis-21102	75	22	]	]	PUNCT
fcis-21102	75	23	.	.	PUNCT
fcis-21102	76	1	methods	method	NOUN
fcis-21102	76	2	with	with	ADP
fcis-21102	76	3	strong	strong	ADJ
fcis-21102	76	4	real	real	ADJ
fcis-21102	76	5	-	-	PUNCT
fcis-21102	76	6	time	time	NOUN
fcis-21102	76	7	detection	detection	NOUN
fcis-21102	76	8	and	and	CCONJ
fcis-21102	76	9	good	good	ADJ
fcis-21102	76	10	generalizability	generalizability	NOUN
fcis-21102	76	11	can	can	AUX
fcis-21102	76	12	monitor	monitor	VERB
fcis-21102	76	13	and	and	CCONJ
fcis-21102	76	14	identify	identify	VERB
fcis-21102	76	15	eclipse	eclipse	NOUN
fcis-21102	76	16	attack	attack	NOUN
fcis-21102	76	17	traffic	traffic	NOUN
fcis-21102	76	18	in	in	ADP
fcis-21102	76	19	real	real	ADJ
fcis-21102	76	20	time	time	NOUN
fcis-21102	76	21	based	base	VERB
fcis-21102	76	22	on	on	ADP
fcis-21102	76	23	dynamic	dynamic	ADJ
fcis-21102	76	24	changes	change	NOUN
fcis-21102	76	25	in	in	ADP
fcis-21102	76	26	traffic	traffic	NOUN
fcis-21102	76	27	characteristics	characteristic	NOUN
fcis-21102	76	28	.	.	PUNCT
fcis-21102	77	1	however	however	ADV
fcis-21102	77	2	,	,	PUNCT
fcis-21102	77	3	when	when	SCONJ
fcis-21102	77	4	an	an	DET
fcis-21102	77	5	attacker	attacker	NOUN
fcis-21102	77	6	masks	mask	VERB
fcis-21102	77	7	its	its	PRON
fcis-21102	77	8	route	route	NOUN
fcis-21102	77	9	building	building	NOUN
fcis-21102	77	10	requests	request	NOUN
fcis-21102	77	11	by	by	ADP
fcis-21102	77	12	disguising	disguise	VERB
fcis-21102	77	13	traffic	traffic	NOUN
fcis-21102	77	14	routed	route	VERB
fcis-21102	77	15	into	into	ADP
fcis-21102	77	16	the	the	DET
fcis-21102	77	17	blockchain	blockchain	PROPN
fcis-21102	77	18	subnet	subnet	NOUN
fcis-21102	77	19	,	,	PUNCT
fcis-21102	77	20	it	it	PRON
fcis-21102	77	21	is	be	AUX
fcis-21102	77	22	difficult	difficult	ADJ
fcis-21102	77	23	for	for	SCONJ
fcis-21102	77	24	existing	exist	VERB
fcis-21102	77	25	detection	detection	NOUN
fcis-21102	77	26	techniques	technique	NOUN
fcis-21102	77	27	to	to	PART
fcis-21102	77	28	detect	detect	VERB
fcis-21102	77	29	such	such	ADJ
fcis-21102	77	30	dynamic	dynamic	ADJ
fcis-21102	77	31	multi	multi	ADJ
fcis-21102	77	32	-	-	ADJ
fcis-21102	77	33	path	path	ADJ
fcis-21102	77	34	eclipse	eclipse	NOUN
fcis-21102	77	35	attacks	attack	NOUN
fcis-21102	77	36	because	because	SCONJ
fcis-21102	77	37	the	the	DET
fcis-21102	77	38	attacker	attacker	NOUN
fcis-21102	77	39	may	may	AUX
fcis-21102	77	40	not	not	PART
fcis-21102	77	41	directly	directly	ADV
fcis-21102	77	42	attack	attack	VERB
fcis-21102	77	43	the	the	DET
fcis-21102	77	44	area	area	NOUN
fcis-21102	77	45	.	.	PUNCT
fcis-21102	78	1	the	the	DET
fcis-21102	78	2	subnetwork	subnetwork	NOUN
fcis-21102	78	3	structure	structure	NOUN
fcis-21102	78	4	of	of	ADP
fcis-21102	78	5	the	the	DET
fcis-21102	78	6	blockchain	blockchain	PROPN
fcis-21102	78	7	.	.	PUNCT
fcis-21102	79	1	therefore	therefore	ADV
fcis-21102	79	2	,	,	PUNCT
fcis-21102	79	3	these	these	DET
fcis-21102	79	4	detection	detection	NOUN
fcis-21102	79	5	methods	method	NOUN
fcis-21102	79	6	are	be	AUX
fcis-21102	79	7	still	still	ADV
fcis-21102	79	8	insufficient	insufficient	ADJ
fcis-21102	79	9	in	in	ADP
fcis-21102	79	10	dynamically	dynamically	ADV
fcis-21102	79	11	sensing	sense	VERB
fcis-21102	79	12	attack	attack	NOUN
fcis-21102	79	13	traffic	traffic	NOUN
fcis-21102	79	14	characteristics	characteristic	NOUN
fcis-21102	79	15	.	.	PUNCT
fcis-21102	80	1	in	in	ADP
fcis-21102	80	2	addition	addition	NOUN
fcis-21102	80	3	,	,	PUNCT
fcis-21102	80	4	since	since	SCONJ
fcis-21102	80	5	the	the	DET
fcis-21102	80	6	behavior	behavior	NOUN
fcis-21102	80	7	of	of	ADP
fcis-21102	80	8	eclipse	eclipse	NOUN
fcis-21102	80	9	attack	attack	NOUN
fcis-21102	80	10	traffic	traffic	NOUN
fcis-21102	80	11	is	be	AUX
fcis-21102	80	12	very	very	ADV
fcis-21102	80	13	similar	similar	ADJ
fcis-21102	80	14	to	to	ADP
fcis-21102	80	15	normal	normal	ADJ
fcis-21102	80	16	traffic	traffic	NOUN
fcis-21102	80	17	,	,	PUNCT
fcis-21102	80	18	and	and	CCONJ
fcis-21102	80	19	the	the	DET
fcis-21102	80	20	differences	difference	NOUN
fcis-21102	80	21	in	in	ADP
fcis-21102	80	22	core	core	ADJ
fcis-21102	80	23	characteristics	characteristic	NOUN
fcis-21102	80	24	are	be	AUX
fcis-21102	80	25	minimal	minimal	ADJ
fcis-21102	80	26	,	,	PUNCT
fcis-21102	80	27	these	these	DET
fcis-21102	80	28	methods	method	NOUN
fcis-21102	80	29	still	still	ADV
fcis-21102	80	30	have	have	VERB
fcis-21102	80	31	a	a	DET
fcis-21102	80	32	lot	lot	NOUN
fcis-21102	80	33	of	of	ADP
fcis-21102	80	34	room	room	NOUN
fcis-21102	80	35	for	for	ADP
fcis-21102	80	36	improvement	improvement	NOUN
fcis-21102	80	37	in	in	ADP
fcis-21102	80	38	the	the	DET
fcis-21102	80	39	accuracy	accuracy	NOUN
fcis-21102	80	40	of	of	ADP
fcis-21102	80	41	attack	attack	NOUN
fcis-21102	80	42	detection	detection	NOUN
fcis-21102	80	43	.	.	PUNCT
fcis-21102	81	1	at	at	ADP
fcis-21102	81	2	the	the	DET
fcis-21102	81	3	same	same	ADJ
fcis-21102	81	4	time	time	NOUN
fcis-21102	81	5	,	,	PUNCT
fcis-21102	81	6	there	there	PRON
fcis-21102	81	7	is	be	VERB
fcis-21102	81	8	a	a	DET
fcis-21102	81	9	significant	significant	ADJ
fcis-21102	81	10	gap	gap	NOUN
fcis-21102	81	11	between	between	ADP
fcis-21102	81	12	existing	exist	VERB
fcis-21102	81	13	detection	detection	NOUN
fcis-21102	81	14	capabilities	capability	NOUN
fcis-21102	81	15	and	and	CCONJ
fcis-21102	81	16	the	the	DET
fcis-21102	81	17	security	security	NOUN
fcis-21102	81	18	requirements	requirement	NOUN
fcis-21102	81	19	of	of	ADP
fcis-21102	81	20	the	the	DET
fcis-21102	81	21	blockchain	blockchain	PROPN
fcis-21102	81	22	network	network	PROPN
fcis-21102	81	23	environment	environment	PROPN
fcis-21102	81	24	.	.	PUNCT
fcis-21102	82	1	xu	xu	PROPN
fcis-21102	82	2	et	et	PROPN
fcis-21102	83	1	al	al	PROPN
fcis-21102	83	2	.	.	PUNCT
fcis-21102	84	1	[	[	X
fcis-21102	84	2	4	4	X
fcis-21102	84	3	]	]	PUNCT
fcis-21102	84	4	proposed	propose	VERB
fcis-21102	84	5	a	a	DET
fcis-21102	84	6	detection	detection	NOUN
fcis-21102	84	7	model	model	NOUN
fcis-21102	84	8	based	base	VERB
fcis-21102	84	9	on	on	ADP
fcis-21102	84	10	random	random	ADJ
fcis-21102	84	11	forest	forest	NOUN
fcis-21102	84	12	classification	classification	NOUN
fcis-21102	84	13	for	for	ADP
fcis-21102	84	14	blockchain	blockchain	PROPN
fcis-21102	84	15	traffic	traffic	NOUN
fcis-21102	84	16	.	.	PUNCT
fcis-21102	85	1	the	the	DET
fcis-21102	85	2	detection	detection	NOUN
fcis-21102	85	3	accuracy	accuracy	NOUN
fcis-21102	85	4	and	and	CCONJ
fcis-21102	85	5	recall	recall	NOUN
fcis-21102	85	6	rate	rate	NOUN
fcis-21102	85	7	were	be	AUX
fcis-21102	85	8	72	72	NUM
fcis-21102	85	9	%	%	NOUN
fcis-21102	85	10	and	and	CCONJ
fcis-21102	85	11	93	93	NUM
fcis-21102	85	12	%	%	NOUN
fcis-21102	85	13	respectively	respectively	ADV
fcis-21102	85	14	,	,	PUNCT
fcis-21102	85	15	but	but	CCONJ
fcis-21102	85	16	they	they	PRON
fcis-21102	85	17	did	do	AUX
fcis-21102	85	18	not	not	PART
fcis-21102	85	19	propose	propose	VERB
fcis-21102	85	20	an	an	DET
fcis-21102	85	21	actual	actual	ADJ
fcis-21102	85	22	defense	defense	NOUN
fcis-21102	85	23	system	system	NOUN
fcis-21102	85	24	and	and	CCONJ
fcis-21102	85	25	countermeasures	countermeasure	NOUN
fcis-21102	85	26	.	.	PUNCT
fcis-21102	86	1	dai	dai	PROPN
fcis-21102	86	2	et	et	PROPN
fcis-21102	86	3	al	al	PROPN
fcis-21102	86	4	.	.	PUNCT
fcis-21102	87	1	[	[	X
fcis-21102	87	2	15	15	NUM
fcis-21102	87	3	]	]	PUNCT
fcis-21102	87	4	proposed	propose	VERB
fcis-21102	87	5	a	a	DET
fcis-21102	87	6	model	model	NOUN
fcis-21102	87	7	that	that	PRON
fcis-21102	87	8	combines	combine	VERB
fcis-21102	87	9	cnn	cnn	PROPN
fcis-21102	87	10	and	and	CCONJ
fcis-21102	87	11	bilstm	bilstm	NOUN
fcis-21102	87	12	technology	technology	NOUN
fcis-21102	87	13	with	with	ADP
fcis-21102	87	14	a	a	DET
fcis-21102	87	15	multi	multi	ADJ
fcis-21102	87	16	-	-	ADJ
fcis-21102	87	17	head	head	ADJ
fcis-21102	87	18	attention	attention	NOUN
fcis-21102	87	19	mechanism	mechanism	NOUN
fcis-21102	87	20	to	to	PART
fcis-21102	87	21	improve	improve	VERB
fcis-21102	87	22	classification	classification	NOUN
fcis-21102	87	23	and	and	CCONJ
fcis-21102	87	24	detection	detection	NOUN
fcis-21102	87	25	performance	performance	NOUN
fcis-21102	87	26	by	by	ADP
fcis-21102	87	27	perceiving	perceive	VERB
fcis-21102	87	28	different	different	ADJ
fcis-21102	87	29	levels	level	NOUN
fcis-21102	87	30	of	of	ADP
fcis-21102	87	31	eclipse	eclipse	NOUN
fcis-21102	87	32	attack	attack	NOUN
fcis-21102	87	33	traffic	traffic	NOUN
fcis-21102	87	34	characteristics	characteristic	NOUN
fcis-21102	87	35	,	,	PUNCT
fcis-21102	87	36	but	but	CCONJ
fcis-21102	87	37	the	the	DET
fcis-21102	87	38	computational	computational	ADJ
fcis-21102	87	39	complexity	complexity	NOUN
fcis-21102	87	40	of	of	ADP
fcis-21102	87	41	the	the	DET
fcis-21102	87	42	model	model	NOUN
fcis-21102	87	43	is	be	AUX
fcis-21102	87	44	too	too	ADV
fcis-21102	87	45	high	high	ADJ
fcis-21102	87	46	.	.	PUNCT
fcis-21102	88	1	,	,	PUNCT
fcis-21102	88	2	it	it	PRON
fcis-21102	88	3	is	be	AUX
fcis-21102	88	4	difficult	difficult	ADJ
fcis-21102	88	5	to	to	PART
fcis-21102	88	6	cope	cope	VERB
fcis-21102	88	7	with	with	ADP
fcis-21102	88	8	real	real	ADJ
fcis-21102	88	9	-	-	PUNCT
fcis-21102	88	10	time	time	NOUN
fcis-21102	88	11	attack	attack	NOUN
fcis-21102	88	12	traffic	traffic	NOUN
fcis-21102	88	13	detection	detection	NOUN
fcis-21102	88	14	.	.	PUNCT
fcis-21102	89	1	at	at	ADP
fcis-21102	89	2	present	present	ADJ
fcis-21102	89	3	,	,	PUNCT
fcis-21102	89	4	there	there	PRON
fcis-21102	89	5	are	be	VERB
fcis-21102	89	6	few	few	ADJ
fcis-21102	89	7	studies	study	NOUN
fcis-21102	89	8	on	on	ADP
fcis-21102	89	9	the	the	DET
fcis-21102	89	10	detection	detection	NOUN
fcis-21102	89	11	of	of	ADP
fcis-21102	89	12	blockchain	blockchain	PROPN
fcis-21102	89	13	eclipse	eclipse	PROPN
fcis-21102	89	14	attack	attack	NOUN
fcis-21102	89	15	traffic	traffic	NOUN
fcis-21102	89	16	.	.	PUNCT
fcis-21102	90	1	in	in	ADP
fcis-21102	90	2	the	the	DET
fcis-21102	90	3	future	future	NOUN
fcis-21102	90	4	,	,	PUNCT
fcis-21102	90	5	research	research	NOUN
fcis-21102	90	6	can	can	AUX
fcis-21102	90	7	be	be	AUX
fcis-21102	90	8	conducted	conduct	VERB
fcis-21102	90	9	on	on	ADP
fcis-21102	90	10	detection	detection	NOUN
fcis-21102	90	11	algorithm	algorithm	NOUN
fcis-21102	90	12	optimization	optimization	NOUN
fcis-21102	90	13	and	and	CCONJ
fcis-21102	90	14	mechanism	mechanism	NOUN
fcis-21102	90	15	innovation	innovation	NOUN
fcis-21102	90	16	for	for	ADP
fcis-21102	90	17	a	a	DET
fcis-21102	90	18	variety	variety	NOUN
fcis-21102	90	19	of	of	ADP
fcis-21102	90	20	different	different	ADJ
fcis-21102	90	21	blockchain	blockchain	PROPN
fcis-21102	90	22	applications	application	NOUN
fcis-21102	90	23	.	.	PUNCT
fcis-21102	91	1	3	3	X
fcis-21102	91	2	.	.	X
fcis-21102	91	3	attack	attack	NOUN
fcis-21102	91	4	traffic	traffic	NOUN
fcis-21102	91	5	detection	detection	NOUN
fcis-21102	91	6	method	method	NOUN
fcis-21102	91	7	based	base	VERB
fcis-21102	91	8	on	on	ADP
fcis-21102	91	9	bg	bg	PROPN
fcis-21102	91	10	-	-	PUNCT
fcis-21102	91	11	xgboost	xgboost	PROPN
fcis-21102	91	12	3.1	3.1	NUM
fcis-21102	91	13	.	.	PUNCT
fcis-21102	92	1	framework	framework	NOUN
fcis-21102	92	2	and	and	CCONJ
fcis-21102	92	3	algorithm	algorithm	NOUN
fcis-21102	92	4	extreme	extreme	NOUN
fcis-21102	92	5	gradient	gradient	NOUN
fcis-21102	92	6	boosting	boost	VERB
fcis-21102	92	7	algorithm	algorithm	NOUN
fcis-21102	92	8	(	(	PUNCT
fcis-21102	92	9	xgboost	xgboost	X
fcis-21102	92	10	)	)	PUNCT
fcis-21102	92	11	is	be	AUX
fcis-21102	92	12	an	an	DET
fcis-21102	92	13	efficient	efficient	ADJ
fcis-21102	92	14	and	and	CCONJ
fcis-21102	92	15	powerful	powerful	ADJ
fcis-21102	92	16	machine	machine	NOUN
fcis-21102	92	17	learning	learning	NOUN
fcis-21102	92	18	method	method	NOUN
fcis-21102	92	19	.	.	PUNCT
fcis-21102	93	1	it	it	PRON
fcis-21102	93	2	is	be	AUX
fcis-21102	93	3	an	an	DET
fcis-21102	93	4	100	100	NUM
fcis-21102	93	5	optimized	optimize	VERB
fcis-21102	93	6	implementation	implementation	NOUN
fcis-21102	93	7	of	of	ADP
fcis-21102	93	8	the	the	DET
fcis-21102	93	9	boosting	boost	VERB
fcis-21102	93	10	algorithm	algorithm	NOUN
fcis-21102	93	11	in	in	ADP
fcis-21102	93	12	ensemble	ensemble	ADJ
fcis-21102	93	13	learning	learning	NOUN
fcis-21102	93	14	,	,	PUNCT
fcis-21102	93	15	especially	especially	ADV
fcis-21102	93	16	when	when	SCONJ
fcis-21102	93	17	dealing	deal	VERB
fcis-21102	93	18	with	with	ADP
fcis-21102	93	19	classification	classification	NOUN
fcis-21102	93	20	problems	problem	NOUN
fcis-21102	93	21	.	.	PUNCT
fcis-21102	94	1	the	the	DET
fcis-21102	94	2	core	core	NOUN
fcis-21102	94	3	idea	idea	NOUN
fcis-21102	94	4	is	be	AUX
fcis-21102	94	5	to	to	PART
fcis-21102	94	6	combine	combine	VERB
fcis-21102	94	7	several	several	ADJ
fcis-21102	94	8	models	model	NOUN
fcis-21102	94	9	with	with	ADP
fcis-21102	94	10	weak	weak	ADJ
fcis-21102	94	11	performance	performance	NOUN
fcis-21102	94	12	(	(	PUNCT
fcis-21102	94	13	such	such	ADJ
fcis-21102	94	14	as	as	ADP
fcis-21102	94	15	decision	decision	NOUN
fcis-21102	94	16	trees	tree	NOUN
fcis-21102	94	17	)	)	PUNCT
fcis-21102	94	18	and	and	CCONJ
fcis-21102	94	19	generate	generate	VERB
fcis-21102	94	20	a	a	DET
fcis-21102	94	21	powerful	powerful	ADJ
fcis-21102	94	22	integrated	integrate	VERB
fcis-21102	94	23	model	model	NOUN
fcis-21102	94	24	through	through	ADP
fcis-21102	94	25	iterative	iterative	NOUN
fcis-21102	94	26	optimization	optimization	NOUN
fcis-21102	94	27	.	.	PUNCT
fcis-21102	95	1	xgboost	xgboost	PROPN
fcis-21102	95	2	introduces	introduce	VERB
fcis-21102	95	3	regularization	regularization	NOUN
fcis-21102	95	4	terms	term	NOUN
fcis-21102	95	5	during	during	ADP
fcis-21102	95	6	the	the	DET
fcis-21102	95	7	training	training	NOUN
fcis-21102	95	8	process	process	NOUN
fcis-21102	95	9	,	,	PUNCT
fcis-21102	95	10	which	which	PRON
fcis-21102	95	11	not	not	PART
fcis-21102	95	12	only	only	ADV
fcis-21102	95	13	controls	control	VERB
fcis-21102	95	14	the	the	DET
fcis-21102	95	15	complexity	complexity	NOUN
fcis-21102	95	16	of	of	ADP
fcis-21102	95	17	the	the	DET
fcis-21102	95	18	model	model	NOUN
fcis-21102	95	19	,	,	PUNCT
fcis-21102	95	20	but	but	CCONJ
fcis-21102	95	21	also	also	ADV
fcis-21102	95	22	prevents	prevent	VERB
fcis-21102	95	23	overfitting	overfitte	VERB
fcis-21102	95	24	,	,	PUNCT
fcis-21102	95	25	thus	thus	ADV
fcis-21102	95	26	improving	improve	VERB
fcis-21102	95	27	the	the	DET
fcis-21102	95	28	generalization	generalization	NOUN
fcis-21102	95	29	ability	ability	NOUN
fcis-21102	95	30	while	while	SCONJ
fcis-21102	95	31	ensuring	ensure	VERB
fcis-21102	95	32	the	the	DET
fcis-21102	95	33	accuracy	accuracy	NOUN
fcis-21102	95	34	of	of	ADP
fcis-21102	95	35	the	the	DET
fcis-21102	95	36	model	model	NOUN
fcis-21102	95	37	.	.	PUNCT
fcis-21102	96	1	in	in	ADP
fcis-21102	96	2	addition	addition	NOUN
fcis-21102	96	3	,	,	PUNCT
fcis-21102	96	4	xgboost	xgboost	PRON
fcis-21102	96	5	supports	support	VERB
fcis-21102	96	6	a	a	DET
fcis-21102	96	7	variety	variety	NOUN
fcis-21102	96	8	of	of	ADP
fcis-21102	96	9	objective	objective	ADJ
fcis-21102	96	10	optimization	optimization	NOUN
fcis-21102	96	11	functions	function	NOUN
fcis-21102	96	12	and	and	CCONJ
fcis-21102	96	13	evaluation	evaluation	NOUN
fcis-21102	96	14	criteria	criterion	NOUN
fcis-21102	96	15	,	,	PUNCT
fcis-21102	96	16	making	make	VERB
fcis-21102	96	17	it	it	PRON
fcis-21102	96	18	widely	widely	ADV
fcis-21102	96	19	applicable	applicable	ADJ
fcis-21102	96	20	to	to	ADP
fcis-21102	96	21	various	various	ADJ
fcis-21102	96	22	regression	regression	NOUN
fcis-21102	96	23	,	,	PUNCT
fcis-21102	96	24	classification	classification	NOUN
fcis-21102	96	25	and	and	CCONJ
fcis-21102	96	26	ranking	ranking	NOUN
fcis-21102	96	27	problems	problem	NOUN
fcis-21102	96	28	.	.	PUNCT
fcis-21102	97	1	when	when	SCONJ
fcis-21102	97	2	faced	face	VERB
fcis-21102	97	3	with	with	ADP
fcis-21102	97	4	large	large	ADJ
fcis-21102	97	5	-	-	PUNCT
fcis-21102	97	6	scale	scale	NOUN
fcis-21102	97	7	data	data	NOUN
fcis-21102	97	8	sets	set	NOUN
fcis-21102	97	9	,	,	PUNCT
fcis-21102	97	10	xgboost	xgboost	ADV
fcis-21102	97	11	demonstrates	demonstrate	VERB
fcis-21102	97	12	efficient	efficient	ADJ
fcis-21102	97	13	computing	computing	NOUN
fcis-21102	97	14	speed	speed	NOUN
fcis-21102	97	15	and	and	CCONJ
fcis-21102	97	16	good	good	ADJ
fcis-21102	97	17	scalability	scalability	NOUN
fcis-21102	97	18	,	,	PUNCT
fcis-21102	97	19	thanks	thank	NOUN
fcis-21102	97	20	to	to	ADP
fcis-21102	97	21	its	its	PRON
fcis-21102	97	22	optimized	optimize	VERB
fcis-21102	97	23	data	data	NOUN
fcis-21102	97	24	structure	structure	NOUN
fcis-21102	97	25	and	and	CCONJ
fcis-21102	97	26	computing	computing	NOUN
fcis-21102	97	27	algorithm	algorithm	NOUN
fcis-21102	97	28	.	.	PUNCT
fcis-21102	98	1	xgboost	xgboost	PROPN
fcis-21102	98	2	can	can	AUX
fcis-21102	98	3	automatically	automatically	ADV
fcis-21102	98	4	utilize	utilize	VERB
fcis-21102	98	5	multi	multi	NOUN
fcis-21102	98	6	-	-	NOUN
fcis-21102	98	7	threads	thread	NOUN
fcis-21102	98	8	for	for	ADP
fcis-21102	98	9	parallel	parallel	ADJ
fcis-21102	98	10	computing	computing	NOUN
fcis-21102	98	11	and	and	CCONJ
fcis-21102	98	12	supports	support	VERB
fcis-21102	98	13	distributed	distribute	VERB
fcis-21102	98	14	computing	computing	NOUN
fcis-21102	98	15	frameworks	framework	NOUN
fcis-21102	98	16	such	such	ADJ
fcis-21102	98	17	as	as	ADP
fcis-21102	98	18	hadoop	hadoop	NOUN
fcis-21102	98	19	and	and	CCONJ
fcis-21102	98	20	spark	spark	NOUN
fcis-21102	98	21	.	.	PUNCT
fcis-21102	99	1	when	when	SCONJ
fcis-21102	99	2	processing	process	VERB
fcis-21102	99	3	sparse	sparse	ADJ
fcis-21102	99	4	data	datum	NOUN
fcis-21102	99	5	,	,	PUNCT
fcis-21102	99	6	xgboost	xgboost	ADV
fcis-21102	99	7	is	be	AUX
fcis-21102	99	8	optimized	optimize	VERB
fcis-21102	99	9	through	through	ADP
fcis-21102	99	10	sparsity	sparsity	NOUN
fcis-21102	99	11	-	-	PUNCT
fcis-21102	99	12	aware	aware	ADJ
fcis-21102	99	13	algorithms	algorithm	NOUN
fcis-21102	99	14	,	,	PUNCT
fcis-21102	99	15	allowing	allow	VERB
fcis-21102	99	16	the	the	DET
fcis-21102	99	17	model	model	NOUN
fcis-21102	99	18	to	to	PART
fcis-21102	99	19	automatically	automatically	ADV
fcis-21102	99	20	handle	handle	VERB
fcis-21102	99	21	missing	miss	VERB
fcis-21102	99	22	data	datum	NOUN
fcis-21102	99	23	and	and	CCONJ
fcis-21102	99	24	use	use	VERB
fcis-21102	99	25	the	the	DET
fcis-21102	99	26	sparse	sparse	ADJ
fcis-21102	99	27	characteristics	characteristic	NOUN
fcis-21102	99	28	of	of	ADP
fcis-21102	99	29	data	datum	NOUN
fcis-21102	99	30	to	to	PART
fcis-21102	99	31	reduce	reduce	VERB
fcis-21102	99	32	computational	computational	ADJ
fcis-21102	99	33	complexity	complexity	NOUN
fcis-21102	99	34	.	.	PUNCT
fcis-21102	100	1	these	these	DET
fcis-21102	100	2	characteristics	characteristic	NOUN
fcis-21102	100	3	make	make	VERB
fcis-21102	100	4	xgboost	xgboost	X
fcis-21102	100	5	widely	widely	ADV
fcis-21102	100	6	used	use	VERB
fcis-21102	100	7	in	in	ADP
fcis-21102	100	8	financial	financial	ADJ
fcis-21102	100	9	risk	risk	NOUN
fcis-21102	100	10	control	control	NOUN
fcis-21102	100	11	,	,	PUNCT
fcis-21102	100	12	network	network	NOUN
fcis-21102	100	13	security	security	NOUN
fcis-21102	100	14	,	,	PUNCT
fcis-21102	100	15	bioinformatics	bioinformatics	NOUN
fcis-21102	100	16	and	and	CCONJ
fcis-21102	100	17	other	other	ADJ
fcis-21102	100	18	fields	field	NOUN
fcis-21102	100	19	.	.	PUNCT
fcis-21102	101	1	xgboost	xgboost	X
fcis-21102	101	2	(	(	PUNCT
fcis-21102	101	3	extreme	extreme	ADJ
fcis-21102	101	4	gradient	gradient	NOUN
fcis-21102	101	5	boosting	boosting	NOUN
fcis-21102	101	6	)	)	PUNCT
fcis-21102	101	7	is	be	AUX
fcis-21102	101	8	an	an	DET
fcis-21102	101	9	ensemble	ensemble	ADJ
fcis-21102	101	10	learning	learning	NOUN
fcis-21102	101	11	algorithm	algorithm	NOUN
fcis-21102	101	12	based	base	VERB
fcis-21102	101	13	on	on	ADP
fcis-21102	101	14	decision	decision	NOUN
fcis-21102	101	15	trees	tree	NOUN
fcis-21102	101	16	,	,	PUNCT
fcis-21102	101	17	optimized	optimize	VERB
fcis-21102	101	18	under	under	ADP
fcis-21102	101	19	the	the	DET
fcis-21102	101	20	framework	framework	NOUN
fcis-21102	101	21	of	of	ADP
fcis-21102	101	22	gradient	gradient	ADJ
fcis-21102	101	23	boosting	boosting	NOUN
fcis-21102	101	24	.	.	PUNCT
fcis-21102	102	1	it	it	PRON
fcis-21102	102	2	not	not	PART
fcis-21102	102	3	only	only	ADV
fcis-21102	102	4	has	have	VERB
fcis-21102	102	5	significant	significant	ADJ
fcis-21102	102	6	advantages	advantage	NOUN
fcis-21102	102	7	in	in	ADP
fcis-21102	102	8	forecast	forecast	NOUN
fcis-21102	102	9	accuracy	accuracy	NOUN
fcis-21102	102	10	,	,	PUNCT
fcis-21102	102	11	but	but	CCONJ
fcis-21102	102	12	also	also	ADV
fcis-21102	102	13	excels	excel	VERB
fcis-21102	102	14	in	in	ADP
fcis-21102	102	15	efficiency	efficiency	NOUN
fcis-21102	102	16	and	and	CCONJ
fcis-21102	102	17	flexibility	flexibility	NOUN
fcis-21102	102	18	.	.	PUNCT
fcis-21102	103	1	3.1.1	3.1.1	X
fcis-21102	103	2	.	.	PUNCT
fcis-21102	103	3	bagging	bag	VERB
fcis-21102	103	4	-	-	PUNCT
fcis-21102	103	5	xgboost	xgboost	NOUN
fcis-21102	103	6	algorithm	algorithm	NOUN
fcis-21102	103	7	in	in	ADP
fcis-21102	103	8	general	general	ADJ
fcis-21102	103	9	,	,	PUNCT
fcis-21102	103	10	xgboost	xgboost	X
fcis-21102	103	11	is	be	AUX
fcis-21102	103	12	an	an	DET
fcis-21102	103	13	algorithm	algorithm	NOUN
fcis-21102	103	14	with	with	ADP
fcis-21102	103	15	strong	strong	ADJ
fcis-21102	103	16	learning	learning	NOUN
fcis-21102	103	17	ability	ability	NOUN
fcis-21102	103	18	and	and	CCONJ
fcis-21102	103	19	high	high	ADJ
fcis-21102	103	20	accuracy	accuracy	NOUN
fcis-21102	103	21	,	,	PUNCT
fcis-21102	103	22	and	and	CCONJ
fcis-21102	103	23	has	have	VERB
fcis-21102	103	24	certain	certain	ADJ
fcis-21102	103	25	generalization	generalization	NOUN
fcis-21102	103	26	ability	ability	NOUN
fcis-21102	103	27	and	and	CCONJ
fcis-21102	103	28	anti	anti	ADJ
fcis-21102	103	29	-	-	ADJ
fcis-21102	103	30	overfitting	overfitting	ADJ
fcis-21102	103	31	ability	ability	NOUN
fcis-21102	103	32	.	.	PUNCT
fcis-21102	104	1	however	however	ADV
fcis-21102	104	2	,	,	PUNCT
fcis-21102	104	3	the	the	DET
fcis-21102	104	4	xgboost	xgboost	PROPN
fcis-21102	104	5	algorithm	algorithm	PROPN
fcis-21102	104	6	improves	improve	VERB
fcis-21102	104	7	accuracy	accuracy	NOUN
fcis-21102	104	8	through	through	ADP
fcis-21102	104	9	parameter	parameter	NOUN
fcis-21102	104	10	constraints	constraint	NOUN
fcis-21102	104	11	and	and	CCONJ
fcis-21102	104	12	serial	serial	ADJ
fcis-21102	104	13	iteration	iteration	NOUN
fcis-21102	104	14	,	,	PUNCT
fcis-21102	104	15	making	make	VERB
fcis-21102	104	16	the	the	DET
fcis-21102	104	17	structure	structure	NOUN
fcis-21102	104	18	of	of	ADP
fcis-21102	104	19	the	the	DET
fcis-21102	104	20	entire	entire	ADJ
fcis-21102	104	21	model	model	NOUN
fcis-21102	104	22	deeper	deep	ADJ
fcis-21102	104	23	,	,	PUNCT
fcis-21102	104	24	and	and	CCONJ
fcis-21102	104	25	there	there	PRON
fcis-21102	104	26	is	be	VERB
fcis-21102	104	27	still	still	ADV
fcis-21102	104	28	a	a	DET
fcis-21102	104	29	risk	risk	NOUN
fcis-21102	104	30	of	of	ADP
fcis-21102	104	31	overfitting	overfitte	VERB
fcis-21102	104	32	,	,	PUNCT
fcis-21102	104	33	and	and	CCONJ
fcis-21102	104	34	there	there	PRON
fcis-21102	104	35	is	be	VERB
fcis-21102	104	36	a	a	DET
fcis-21102	104	37	risk	risk	NOUN
fcis-21102	104	38	of	of	ADP
fcis-21102	104	39	higher	high	ADJ
fcis-21102	104	40	errors	error	NOUN
fcis-21102	104	41	due	due	ADP
fcis-21102	104	42	to	to	ADP
fcis-21102	104	43	the	the	DET
fcis-21102	104	44	lack	lack	NOUN
fcis-21102	104	45	of	of	ADP
fcis-21102	104	46	randomness	randomness	NOUN
fcis-21102	104	47	when	when	SCONJ
fcis-21102	104	48	changing	change	VERB
fcis-21102	104	49	data	datum	NOUN
fcis-21102	104	50	sources	source	NOUN
fcis-21102	104	51	.	.	PUNCT
fcis-21102	105	1	therefore	therefore	ADV
fcis-21102	105	2	,	,	PUNCT
fcis-21102	105	3	the	the	DET
fcis-21102	105	4	bagging	bagging	NOUN
fcis-21102	105	5	(	(	PUNCT
fcis-21102	105	6	bootstrap	bootstrap	NOUN
fcis-21102	105	7	aggregating	aggregating	NOUN
fcis-21102	105	8	)	)	PUNCT
fcis-21102	105	9	algorithm	algorithm	NOUN
fcis-21102	105	10	can	can	AUX
fcis-21102	105	11	be	be	AUX
fcis-21102	105	12	introduced	introduce	VERB
fcis-21102	105	13	,	,	PUNCT
fcis-21102	105	14	which	which	PRON
fcis-21102	105	15	is	be	AUX
fcis-21102	105	16	also	also	ADV
fcis-21102	105	17	an	an	DET
fcis-21102	105	18	integrated	integrated	ADJ
fcis-21102	105	19	learning	learning	NOUN
fcis-21102	105	20	idea	idea	NOUN
fcis-21102	105	21	,	,	PUNCT
fcis-21102	105	22	to	to	PART
fcis-21102	105	23	improve	improve	VERB
fcis-21102	105	24	the	the	DET
fcis-21102	105	25	xgboost	xgboost	ADJ
fcis-21102	105	26	algorithm	algorithm	NOUN
fcis-21102	105	27	to	to	PART
fcis-21102	105	28	further	far	ADV
fcis-21102	105	29	enhance	enhance	VERB
fcis-21102	105	30	its	its	PRON
fcis-21102	105	31	generalization	generalization	NOUN
fcis-21102	105	32	ability	ability	NOUN
fcis-21102	105	33	and	and	CCONJ
fcis-21102	105	34	reduce	reduce	VERB
fcis-21102	105	35	the	the	DET
fcis-21102	105	36	output	output	NOUN
fcis-21102	105	37	variance	variance	NOUN
fcis-21102	105	38	.	.	PUNCT
fcis-21102	106	1	the	the	DET
fcis-21102	106	2	essence	essence	NOUN
fcis-21102	106	3	of	of	ADP
fcis-21102	106	4	bagging	bagging	NOUN
fcis-21102	106	5	is	be	AUX
fcis-21102	106	6	to	to	PART
fcis-21102	106	7	randomly	randomly	VERB
fcis-21102	106	8	sample	sample	NOUN
fcis-21102	106	9	from	from	ADP
fcis-21102	106	10	the	the	DET
fcis-21102	106	11	initial	initial	ADJ
fcis-21102	106	12	sample	sample	NOUN
fcis-21102	106	13	data	datum	NOUN
fcis-21102	106	14	to	to	PART
fcis-21102	106	15	obtain	obtain	VERB
fcis-21102	106	16	a	a	DET
fcis-21102	106	17	sample	sample	NOUN
fcis-21102	106	18	subset	subset	NOUN
fcis-21102	106	19	.	.	PUNCT
fcis-21102	107	1	then	then	ADV
fcis-21102	107	2	each	each	DET
fcis-21102	107	3	base	base	NOUN
fcis-21102	107	4	model	model	NOUN
fcis-21102	107	5	is	be	AUX
fcis-21102	107	6	trained	train	VERB
fcis-21102	107	7	based	base	VERB
fcis-21102	107	8	on	on	ADP
fcis-21102	107	9	a	a	DET
fcis-21102	107	10	subset	subset	NOUN
fcis-21102	107	11	of	of	ADP
fcis-21102	107	12	samples	sample	NOUN
fcis-21102	107	13	,	,	PUNCT
fcis-21102	107	14	and	and	CCONJ
fcis-21102	107	15	finally	finally	ADV
fcis-21102	107	16	the	the	DET
fcis-21102	107	17	average	average	NOUN
fcis-21102	107	18	of	of	ADP
fcis-21102	107	19	each	each	DET
fcis-21102	107	20	model	model	NOUN
fcis-21102	107	21	's	's	PART
fcis-21102	107	22	results	result	NOUN
fcis-21102	107	23	is	be	AUX
fcis-21102	107	24	taken	take	VERB
fcis-21102	107	25	as	as	ADP
fcis-21102	107	26	the	the	DET
fcis-21102	107	27	output	output	NOUN
fcis-21102	107	28	.	.	PUNCT
fcis-21102	108	1	bagging	bagging	NOUN
fcis-21102	108	2	can	can	AUX
fcis-21102	108	3	effectively	effectively	ADV
fcis-21102	108	4	reduce	reduce	VERB
fcis-21102	108	5	variance	variance	NOUN
fcis-21102	108	6	and	and	CCONJ
fcis-21102	108	7	overfitting	overfitting	NOUN
fcis-21102	108	8	.	.	PUNCT
fcis-21102	109	1	it	it	PRON
fcis-21102	109	2	simulates	simulate	VERB
fcis-21102	109	3	various	various	ADJ
fcis-21102	109	4	random	random	ADJ
fcis-21102	109	5	situations	situation	NOUN
fcis-21102	109	6	,	,	PUNCT
fcis-21102	109	7	introducing	introduce	VERB
fcis-21102	109	8	randomness	randomness	NOUN
fcis-21102	109	9	and	and	CCONJ
fcis-21102	109	10	reducing	reduce	VERB
fcis-21102	109	11	the	the	DET
fcis-21102	109	12	risk	risk	NOUN
fcis-21102	109	13	of	of	ADP
fcis-21102	109	14	high	high	ADJ
fcis-21102	109	15	errors	error	NOUN
fcis-21102	109	16	.	.	PUNCT
fcis-21102	110	1	therefore	therefore	ADV
fcis-21102	110	2	,	,	PUNCT
fcis-21102	110	3	this	this	DET
fcis-21102	110	4	article	article	NOUN
fcis-21102	110	5	proposes	propose	VERB
fcis-21102	110	6	an	an	DET
fcis-21102	110	7	improved	improved	ADJ
fcis-21102	110	8	xgboost	xgboost	NOUN
fcis-21102	110	9	algorithm	algorithm	NOUN
fcis-21102	110	10	based	base	VERB
fcis-21102	110	11	on	on	ADP
fcis-21102	110	12	bagging	bagging	NOUN
fcis-21102	110	13	,	,	PUNCT
fcis-21102	110	14	named	name	VERB
fcis-21102	110	15	bagging	bagging	NOUN
fcis-21102	110	16	-	-	PUNCT
fcis-21102	110	17	xgboost	xgboost	NOUN
fcis-21102	110	18	(	(	PUNCT
fcis-21102	110	19	bgxgboost	bgxgboost	NOUN
fcis-21102	110	20	)	)	PUNCT
fcis-21102	110	21	.	.	PUNCT
fcis-21102	111	1	by	by	ADP
fcis-21102	111	2	introducing	introduce	VERB
fcis-21102	111	3	regularization	regularization	NOUN
fcis-21102	111	4	and	and	CCONJ
fcis-21102	111	5	randomness	randomness	NOUN
fcis-21102	111	6	,	,	PUNCT
fcis-21102	111	7	it	it	PRON
fcis-21102	111	8	limits	limit	VERB
fcis-21102	111	9	the	the	DET
fcis-21102	111	10	model	model	NOUN
fcis-21102	111	11	complexity	complexity	NOUN
fcis-21102	111	12	of	of	ADP
fcis-21102	111	13	bg	bg	PROPN
fcis-21102	111	14	-	-	PUNCT
fcis-21102	111	15	xg	xg	PROPN
fcis-21102	111	16	and	and	CCONJ
fcis-21102	111	17	reduces	reduce	VERB
fcis-21102	111	18	the	the	DET
fcis-21102	111	19	variance	variance	NOUN
fcis-21102	111	20	of	of	ADP
fcis-21102	111	21	the	the	DET
fcis-21102	111	22	output	output	NOUN
fcis-21102	111	23	results	result	NOUN
fcis-21102	111	24	.	.	PUNCT
fcis-21102	112	1	through	through	ADP
fcis-21102	112	2	serial	serial	ADJ
fcis-21102	112	3	iteration	iteration	NOUN
fcis-21102	112	4	and	and	CCONJ
fcis-21102	112	5	parallel	parallel	ADJ
fcis-21102	112	6	sampling	sampling	NOUN
fcis-21102	112	7	,	,	PUNCT
fcis-21102	112	8	the	the	DET
fcis-21102	112	9	learning	learn	VERB
fcis-21102	112	10	ability	ability	NOUN
fcis-21102	112	11	of	of	ADP
fcis-21102	112	12	bg	bg	PROPN
fcis-21102	112	13	-	-	PUNCT
fcis-21102	112	14	xg	xg	PROPN
fcis-21102	112	15	is	be	AUX
fcis-21102	112	16	improved	improve	VERB
fcis-21102	112	17	,	,	PUNCT
fcis-21102	112	18	the	the	DET
fcis-21102	112	19	deviation	deviation	NOUN
fcis-21102	112	20	of	of	ADP
fcis-21102	112	21	the	the	DET
fcis-21102	112	22	output	output	NOUN
fcis-21102	112	23	results	result	NOUN
fcis-21102	112	24	is	be	AUX
fcis-21102	112	25	reduced	reduce	VERB
fcis-21102	112	26	,	,	PUNCT
fcis-21102	112	27	and	and	CCONJ
fcis-21102	112	28	the	the	DET
fcis-21102	112	29	generalization	generalization	NOUN
fcis-21102	112	30	ability	ability	NOUN
fcis-21102	112	31	is	be	AUX
fcis-21102	112	32	enhanced	enhance	VERB
fcis-21102	112	33	.	.	PUNCT
fcis-21102	113	1	the	the	DET
fcis-21102	113	2	structure	structure	NOUN
fcis-21102	113	3	of	of	ADP
fcis-21102	113	4	the	the	DET
fcis-21102	113	5	bagging	bagging	NOUN
fcis-21102	113	6	-	-	PUNCT
fcis-21102	113	7	xgboost	xgboost	NOUN
fcis-21102	113	8	algorithm	algorithm	PROPN
fcis-21102	113	9	is	be	AUX
fcis-21102	113	10	shown	show	VERB
fcis-21102	113	11	in	in	ADP
fcis-21102	113	12	figure	figure	NOUN
fcis-21102	113	13	2	2	NUM
fcis-21102	113	14	.	.	PUNCT
fcis-21102	113	15	figure	figure	NOUN
fcis-21102	113	16	2	2	NUM
fcis-21102	113	17	.	.	PUNCT
fcis-21102	113	18	bagging	bag	VERB
fcis-21102	113	19	-	-	PUNCT
fcis-21102	113	20	xgboost	xgboost	NOUN
fcis-21102	113	21	algorithm	algorithm	NOUN
fcis-21102	113	22	structure	structure	NOUN
fcis-21102	113	23	3.2	3.2	NUM
fcis-21102	113	24	.	.	PUNCT
fcis-21102	114	1	attack	attack	NOUN
fcis-21102	114	2	traffic	traffic	NOUN
fcis-21102	114	3	detection	detection	NOUN
fcis-21102	114	4	model	model	NOUN
fcis-21102	114	5	this	this	DET
fcis-21102	114	6	paper	paper	NOUN
fcis-21102	114	7	proposes	propose	VERB
fcis-21102	114	8	the	the	DET
fcis-21102	114	9	bg	bg	PROPN
fcis-21102	114	10	-	-	PUNCT
fcis-21102	114	11	xgboost	xgboost	PROPN
fcis-21102	114	12	model	model	NOUN
fcis-21102	114	13	,	,	PUNCT
fcis-21102	114	14	which	which	PRON
fcis-21102	114	15	is	be	AUX
fcis-21102	114	16	a	a	DET
fcis-21102	114	17	hybrid	hybrid	ADJ
fcis-21102	114	18	ensemble	ensemble	ADJ
fcis-21102	114	19	learning	learning	NOUN
fcis-21102	114	20	model	model	NOUN
fcis-21102	114	21	that	that	PRON
fcis-21102	114	22	combines	combine	VERB
fcis-21102	114	23	bagging	bagging	NOUN
fcis-21102	114	24	and	and	CCONJ
fcis-21102	114	25	xgboost	xgboost	ADV
fcis-21102	114	26	algorithms	algorithm	NOUN
fcis-21102	114	27	.	.	PUNCT
fcis-21102	115	1	based	base	VERB
fcis-21102	115	2	on	on	ADP
fcis-21102	115	3	the	the	DET
fcis-21102	115	4	feature	feature	NOUN
fcis-21102	115	5	parameters	parameter	NOUN
fcis-21102	115	6	extracted	extract	VERB
fcis-21102	115	7	in	in	ADP
fcis-21102	115	8	chapter	chapter	NOUN
fcis-21102	115	9	3	3	NUM
fcis-21102	115	10	,	,	PUNCT
fcis-21102	115	11	an	an	DET
fcis-21102	115	12	eclipse	eclipse	NOUN
fcis-21102	115	13	attack	attack	NOUN
fcis-21102	115	14	traffic	traffic	NOUN
fcis-21102	115	15	detection	detection	NOUN
fcis-21102	115	16	data	datum	NOUN
fcis-21102	115	17	set	set	VERB
fcis-21102	115	18	is	be	AUX
fcis-21102	115	19	constructed	construct	VERB
fcis-21102	115	20	.	.	PUNCT
fcis-21102	116	1	10k	10k	NOUN
fcis-21102	116	2	cross	cross	NOUN
fcis-21102	116	3	-	-	NOUN
fcis-21102	116	4	validation	validation	ADJ
fcis-21102	116	5	,	,	PUNCT
fcis-21102	116	6	bayesian	bayesian	NOUN
fcis-21102	116	7	hyperparameter	hyperparameter	NOUN
fcis-21102	116	8	optimization	optimization	NOUN
fcis-21102	116	9	and	and	CCONJ
fcis-21102	116	10	parallel	parallel	ADJ
fcis-21102	116	11	processing	processing	NOUN
fcis-21102	116	12	are	be	AUX
fcis-21102	116	13	used	use	VERB
fcis-21102	116	14	to	to	PART
fcis-21102	116	15	improve	improve	VERB
fcis-21102	116	16	the	the	DET
fcis-21102	116	17	accuracy	accuracy	NOUN
fcis-21102	116	18	of	of	ADP
fcis-21102	116	19	network	network	NOUN
fcis-21102	116	20	intrusion	intrusion	NOUN
fcis-21102	116	21	detection	detection	NOUN
fcis-21102	116	22	,	,	PUNCT
fcis-21102	116	23	thereby	thereby	ADV
fcis-21102	116	24	improving	improve	VERB
fcis-21102	116	25	the	the	DET
fcis-21102	116	26	performance	performance	NOUN
fcis-21102	116	27	of	of	ADP
fcis-21102	116	28	the	the	DET
fcis-21102	116	29	network	network	NOUN
fcis-21102	116	30	security	security	NOUN
fcis-21102	116	31	system	system	NOUN
fcis-21102	116	32	.	.	PUNCT
fcis-21102	117	1	use	use	VERB
fcis-21102	117	2	python	python	NOUN
fcis-21102	117	3	language	language	NOUN
fcis-21102	117	4	to	to	PART
fcis-21102	117	5	build	build	VERB
fcis-21102	117	6	and	and	CCONJ
fcis-21102	117	7	execute	execute	VERB
fcis-21102	117	8	the	the	DET
fcis-21102	117	9	model	model	NOUN
fcis-21102	117	10	.	.	PUNCT
fcis-21102	118	1	in	in	ADP
fcis-21102	118	2	practice	practice	NOUN
fcis-21102	118	3	,	,	PUNCT
fcis-21102	118	4	combining	combine	VERB
fcis-21102	118	5	bagging	bagging	NOUN
fcis-21102	118	6	and	and	CCONJ
fcis-21102	118	7	xgboost	xgboost	NOUN
fcis-21102	118	8	means	mean	VERB
fcis-21102	118	9	training	training	NOUN
fcis-21102	118	10	multiple	multiple	ADJ
fcis-21102	118	11	xgboost	xgboost	ADJ
fcis-21102	118	12	models	model	NOUN
fcis-21102	118	13	on	on	ADP
fcis-21102	118	14	different	different	ADJ
fcis-21102	118	15	self	self	NOUN
fcis-21102	118	16	-	-	PUNCT
fcis-21102	118	17	sampled	sample	VERB
fcis-21102	118	18	data	datum	NOUN
fcis-21102	118	19	and	and	CCONJ
fcis-21102	118	20	then	then	ADV
fcis-21102	118	21	aggregating	aggregate	VERB
fcis-21102	118	22	the	the	DET
fcis-21102	118	23	predictions	prediction	NOUN
fcis-21102	118	24	of	of	ADP
fcis-21102	118	25	all	all	DET
fcis-21102	118	26	models	model	NOUN
fcis-21102	118	27	.	.	PUNCT
fcis-21102	119	1	by	by	ADP
fcis-21102	119	2	combining	combine	VERB
fcis-21102	119	3	the	the	DET
fcis-21102	119	4	sample	sample	NOUN
fcis-21102	119	5	randomness	randomness	NOUN
fcis-21102	119	6	of	of	ADP
fcis-21102	119	7	the	the	DET
fcis-21102	119	8	bagging	bagging	NOUN
fcis-21102	119	9	method	method	NOUN
fcis-21102	119	10	with	with	ADP
fcis-21102	119	11	the	the	DET
fcis-21102	119	12	efficient	efficient	ADJ
fcis-21102	119	13	learning	learning	NOUN
fcis-21102	119	14	ability	ability	NOUN
fcis-21102	119	15	of	of	ADP
fcis-21102	119	16	the	the	DET
fcis-21102	119	17	xgboost	xgboost	PROPN
fcis-21102	119	18	algorithm	algorithm	PROPN
fcis-21102	119	19	,	,	PUNCT
fcis-21102	119	20	this	this	DET
fcis-21102	119	21	model	model	NOUN
fcis-21102	119	22	can	can	AUX
fcis-21102	119	23	not	not	PART
fcis-21102	119	24	only	only	ADV
fcis-21102	119	25	effectively	effectively	ADV
fcis-21102	119	26	reduce	reduce	VERB
fcis-21102	119	27	the	the	DET
fcis-21102	119	28	bias	bias	NOUN
fcis-21102	119	29	and	and	CCONJ
fcis-21102	119	30	variance	variance	NOUN
fcis-21102	119	31	of	of	ADP
fcis-21102	119	32	the	the	DET
fcis-21102	119	33	model	model	NOUN
fcis-21102	119	34	,	,	PUNCT
fcis-21102	119	35	but	but	CCONJ
fcis-21102	119	36	also	also	ADV
fcis-21102	119	37	provide	provide	VERB
fcis-21102	119	38	accurate	accurate	ADJ
fcis-21102	119	39	predictions	prediction	NOUN
fcis-21102	119	40	for	for	ADP
fcis-21102	119	41	the	the	DET
fcis-21102	119	42	complex	complex	ADJ
fcis-21102	119	43	ethereum	ethereum	NOUN
fcis-21102	119	44	eclipse	eclipse	NOUN
fcis-21102	119	45	attack	attack	NOUN
fcis-21102	119	46	mode	mode	NOUN
fcis-21102	119	47	.	.	PUNCT
fcis-21102	120	1	in	in	ADP
fcis-21102	120	2	addition	addition	NOUN
fcis-21102	120	3	,	,	PUNCT
fcis-21102	120	4	bayesian	bayesian	NOUN
fcis-21102	120	5	optimization	optimization	NOUN
fcis-21102	120	6	is	be	AUX
fcis-21102	120	7	used	use	VERB
fcis-21102	120	8	to	to	PART
fcis-21102	120	9	intelligently	intelligently	ADV
fcis-21102	120	10	adjust	adjust	VERB
fcis-21102	120	11	model	model	NOUN
fcis-21102	120	12	hyperparameters	hyperparameter	NOUN
fcis-21102	120	13	,	,	PUNCT
fcis-21102	120	14	further	far	ADV
fcis-21102	120	15	enhancing	enhance	VERB
fcis-21102	120	16	the	the	DET
fcis-21102	120	17	model	model	NOUN
fcis-21102	120	18	's	's	PART
fcis-21102	120	19	prediction	prediction	NOUN
fcis-21102	120	20	accuracy	accuracy	NOUN
fcis-21102	120	21	and	and	CCONJ
fcis-21102	120	22	computational	computational	ADJ
fcis-21102	120	23	efficiency	efficiency	NOUN
fcis-21102	120	24	.	.	PUNCT
fcis-21102	121	1	with	with	ADP
fcis-21102	121	2	the	the	DET
fcis-21102	121	3	help	help	NOUN
fcis-21102	121	4	of	of	ADP
fcis-21102	121	5	parallel	parallel	ADJ
fcis-21102	121	6	processing	processing	NOUN
fcis-21102	121	7	technology	technology	NOUN
fcis-21102	121	8	,	,	PUNCT
fcis-21102	121	9	the	the	DET
fcis-21102	121	10	training	training	NOUN
fcis-21102	121	11	and	and	CCONJ
fcis-21102	121	12	prediction	prediction	NOUN
fcis-21102	121	13	process	process	NOUN
fcis-21102	121	14	of	of	ADP
fcis-21102	121	15	the	the	DET
fcis-21102	121	16	model	model	NOUN
fcis-21102	121	17	can	can	AUX
fcis-21102	121	18	be	be	AUX
fcis-21102	121	19	accelerated	accelerate	VERB
fcis-21102	121	20	,	,	PUNCT
fcis-21102	121	21	meeting	meet	VERB
fcis-21102	121	22	the	the	DET
fcis-21102	121	23	needs	need	NOUN
fcis-21102	121	24	of	of	ADP
fcis-21102	121	25	large	large	ADJ
fcis-21102	121	26	-	-	PUNCT
fcis-21102	121	27	scale	scale	NOUN
fcis-21102	121	28	data	datum	NOUN
fcis-21102	121	29	processing	processing	NOUN
fcis-21102	121	30	.	.	PUNCT
fcis-21102	122	1	3.2.1	3.2.1	X
fcis-21102	122	2	.	.	PUNCT
fcis-21102	122	3	data	datum	NOUN
fcis-21102	122	4	collection	collection	NOUN
fcis-21102	122	5	based	base	VERB
fcis-21102	122	6	on	on	ADP
fcis-21102	122	7	the	the	DET
fcis-21102	122	8	research	research	NOUN
fcis-21102	122	9	of	of	ADP
fcis-21102	122	10	xu	xu	PROPN
fcis-21102	122	11	et	et	PROPN
fcis-21102	122	12	al	al	PROPN
fcis-21102	122	13	.	.	PROPN
fcis-21102	122	14	,	,	PUNCT
fcis-21102	122	15	this	this	DET
fcis-21102	122	16	paper	paper	NOUN
fcis-21102	122	17	designs	design	VERB
fcis-21102	122	18	an	an	DET
fcis-21102	122	19	ethereum	ethereum	NOUN
fcis-21102	122	20	eclipse	eclipse	NOUN
fcis-21102	122	21	attack	attack	NOUN
fcis-21102	122	22	experiment	experiment	NOUN
fcis-21102	122	23	[	[	X
fcis-21102	122	24	4	4	NUM
fcis-21102	122	25	]	]	PUNCT
fcis-21102	122	26	.	.	PUNCT
fcis-21102	123	1	dai	dai	PROPN
fcis-21102	124	1	[	[	X
fcis-21102	124	2	15	15	NUM
fcis-21102	124	3	]	]	X
fcis-21102	124	4	et	et	PROPN
fcis-21102	124	5	al	al	PROPN
fcis-21102	124	6	.	.	PUNCT
fcis-21102	125	1	the	the	DET
fcis-21102	125	2	wireshark	wireshark	NOUN
fcis-21102	125	3	application	application	NOUN
fcis-21102	125	4	captures	capture	VERB
fcis-21102	125	5	samples	sample	NOUN
fcis-21102	125	6	of	of	ADP
fcis-21102	125	7	real	real	ADJ
fcis-21102	125	8	network	network	NOUN
fcis-21102	125	9	traffic	traffic	NOUN
fcis-21102	125	10	such	such	ADJ
fcis-21102	125	11	as	as	ADP
fcis-21102	125	12	udp	udp	NOUN
fcis-21102	125	13	,	,	PUNCT
fcis-21102	125	14	tcp	tcp	ADP
fcis-21102	125	15	,	,	PUNCT
fcis-21102	125	16	and	and	CCONJ
fcis-21102	125	17	icmp	icmp	ADJ
fcis-21102	125	18	.	.	PUNCT
fcis-21102	126	1	additionally	additionally	ADV
fcis-21102	126	2	,	,	PUNCT
fcis-21102	126	3	wireshark	wireshark	NOUN
fcis-21102	126	4	's	's	PART
fcis-21102	126	5	ethereum	ethereum	NOUN
fcis-21102	126	6	devp2p	devp2p	VERB
fcis-21102	126	7	protocol	protocol	NOUN
fcis-21102	126	8	parser	parser	NOUN
fcis-21102	126	9	plugin	plugin	NOUN
fcis-21102	126	10	was	be	AUX
fcis-21102	126	11	installed	instal	VERB
fcis-21102	126	12	to	to	PART
fcis-21102	126	13	inspect	inspect	VERB
fcis-21102	126	14	ethereum	ethereum	NOUN
fcis-21102	126	15	traffic	traffic	NOUN
fcis-21102	126	16	packets	packet	NOUN
fcis-21102	126	17	.	.	PUNCT
fcis-21102	127	1	ethereum	ethereum	NOUN
fcis-21102	127	2	2.0	2.0	NUM
fcis-21102	127	3	and	and	CCONJ
fcis-21102	127	4	hyperledger	hyperledger	NOUN
fcis-21102	127	5	fabric	fabric	NOUN
fcis-21102	127	6	1.4	1.4	NUM
fcis-21102	127	7	are	be	AUX
fcis-21102	127	8	implemented	implement	VERB
fcis-21102	127	9	to	to	PART
fcis-21102	127	10	emulate	emulate	VERB
fcis-21102	127	11	the	the	DET
fcis-21102	127	12	integrated	integrate	VERB
fcis-21102	127	13	network	network	NOUN
fcis-21102	127	14	traffic	traffic	NOUN
fcis-21102	127	15	of	of	ADP
fcis-21102	127	16	the	the	DET
fcis-21102	127	17	ethereum	ethereum	NOUN
fcis-21102	127	18	network	network	NOUN
fcis-21102	127	19	layer	layer	NOUN
fcis-21102	127	20	.	.	PUNCT
fcis-21102	128	1	ubuntu	ubuntu	PROPN
fcis-21102	128	2	22.04	22.04	NUM
fcis-21102	128	3	lts	lts	NOUN
fcis-21102	128	4	with	with	ADP
fcis-21102	128	5	docker	docker	PROPN
fcis-21102	128	6	networking	networking	NOUN
fcis-21102	128	7	for	for	ADP
fcis-21102	128	8	generating	generate	VERB
fcis-21102	128	9	ip	ip	DET
fcis-21102	128	10	segments	segment	NOUN
fcis-21102	128	11	is	be	AUX
fcis-21102	128	12	provided	provide	VERB
fcis-21102	128	13	to	to	PART
fcis-21102	128	14	simulate	simulate	VERB
fcis-21102	128	15	and	and	CCONJ
fcis-21102	128	16	run	run	VERB
fcis-21102	128	17	the	the	DET
fcis-21102	128	18	ethereum	ethereum	NOUN
fcis-21102	128	19	virtual	virtual	ADJ
fcis-21102	128	20	machine	machine	NOUN
fcis-21102	128	21	,	,	PUNCT
fcis-21102	128	22	geth	geth	ADJ
fcis-21102	128	23	program	program	NOUN
fcis-21102	128	24	and	and	CCONJ
fcis-21102	128	25	hyperledger	hyperledger	PROPN
fcis-21102	128	26	fabric1.4	fabric1.4	PROPN
fcis-21102	128	27	.	.	PUNCT
fcis-21102	128	28	eclipse	eclipse	NOUN
fcis-21102	128	29	attacks	attack	NOUN
fcis-21102	128	30	are	be	AUX
fcis-21102	128	31	launched	launch	VERB
fcis-21102	128	32	via	via	ADP
fcis-21102	128	33	two	two	NUM
fcis-21102	128	34	methods	method	NOUN
fcis-21102	128	35	.	.	PUNCT
fcis-21102	129	1	first	first	ADV
fcis-21102	129	2	,	,	PUNCT
fcis-21102	129	3	yersinia	yersinia	NOUN
fcis-21102	129	4	is	be	AUX
fcis-21102	129	5	a	a	DET
fcis-21102	129	6	secure	secure	ADJ
fcis-21102	129	7	network	network	NOUN
fcis-21102	129	8	tool	tool	NOUN
fcis-21102	129	9	that	that	PRON
fcis-21102	129	10	allows	allow	VERB
fcis-21102	129	11	practitioners	practitioner	NOUN
fcis-21102	129	12	to	to	PART
fcis-21102	129	13	launch	launch	VERB
fcis-21102	129	14	layer	layer	NOUN
fcis-21102	129	15	2	2	NUM
fcis-21102	129	16	attacks	attack	NOUN
fcis-21102	129	17	by	by	ADP
fcis-21102	129	18	crawling	crawl	VERB
fcis-21102	129	19	neighbor	neighbor	NOUN
fcis-21102	129	20	nodes	node	NOUN
fcis-21102	129	21	in	in	ADP
fcis-21102	129	22	the	the	DET
fcis-21102	129	23	network	network	NOUN
fcis-21102	129	24	.	.	PUNCT
fcis-21102	130	1	then	then	ADV
fcis-21102	130	2	,	,	PUNCT
fcis-21102	130	3	the	the	DET
fcis-21102	130	4	attack	attack	NOUN
fcis-21102	130	5	script	script	NOUN
fcis-21102	130	6	generated	generate	VERB
fcis-21102	130	7	by	by	ADP
fcis-21102	130	8	the	the	DET
fcis-21102	130	9	scapy	scapy	PROPN
fcis-21102	130	10	library	library	NOUN
fcis-21102	130	11	in	in	ADP
fcis-21102	130	12	python	python	PROPN
fcis-21102	130	13	3.9	3.9	NUM
fcis-21102	130	14	is	be	AUX
fcis-21102	130	15	executed	execute	VERB
fcis-21102	130	16	,	,	PUNCT
fcis-21102	130	17	and	and	CCONJ
fcis-21102	130	18	eclipse	eclipse	NOUN
fcis-21102	130	19	attack	attack	NOUN
fcis-21102	130	20	packets	packet	NOUN
fcis-21102	130	21	such	such	ADJ
fcis-21102	130	22	as	as	ADP
fcis-21102	130	23	ping	ping	NOUN
fcis-21102	130	24	,	,	PUNCT
fcis-21102	130	25	pong	pong	PROPN
fcis-21102	130	26	,	,	PUNCT
fcis-21102	130	27	findnode	findnode	NOUN
fcis-21102	130	28	,	,	PUNCT
fcis-21102	130	29	and	and	CCONJ
fcis-21102	130	30	neighbors	neighbor	NOUN
fcis-21102	130	31	are	be	AUX
fcis-21102	130	32	repeatedly	repeatedly	ADV
fcis-21102	130	33	broadcast	broadcast	VERB
fcis-21102	130	34	,	,	PUNCT
fcis-21102	130	35	forcing	force	VERB
fcis-21102	130	36	the	the	DET
fcis-21102	130	37	target	target	NOUN
fcis-21102	130	38	node	node	NOUN
fcis-21102	130	39	to	to	PART
fcis-21102	130	40	create	create	VERB
fcis-21102	130	41	an	an	DET
fcis-21102	130	42	incorrect	incorrect	ADJ
fcis-21102	130	43	routing	routing	NOUN
fcis-21102	130	44	table	table	NOUN
fcis-21102	130	45	.	.	PUNCT
fcis-21102	131	1	data	datum	NOUN
fcis-21102	131	2	are	be	AUX
fcis-21102	131	3	collected	collect	VERB
fcis-21102	131	4	under	under	ADP
fcis-21102	131	5	three	three	NUM
fcis-21102	131	6	conditions	condition	NOUN
fcis-21102	131	7	depending	depend	VERB
fcis-21102	131	8	on	on	ADP
fcis-21102	131	9	the	the	DET
fcis-21102	131	10	attack	attack	NOUN
fcis-21102	131	11	status	status	NOUN
fcis-21102	131	12	.	.	PUNCT
fcis-21102	132	1	the	the	DET
fcis-21102	132	2	first	first	ADJ
fcis-21102	132	3	stage	stage	NOUN
fcis-21102	132	4	is	be	AUX
fcis-21102	132	5	the	the	DET
fcis-21102	132	6	normal	normal	ADJ
fcis-21102	132	7	operating	operating	NOUN
fcis-21102	132	8	state	state	NOUN
fcis-21102	132	9	,	,	PUNCT
fcis-21102	132	10	which	which	PRON
fcis-21102	132	11	means	mean	VERB
fcis-21102	132	12	that	that	SCONJ
fcis-21102	132	13	the	the	DET
fcis-21102	132	14	node	node	NOUN
fcis-21102	132	15	has	have	AUX
fcis-21102	132	16	been	be	AUX
fcis-21102	132	17	connected	connect	VERB
fcis-21102	132	18	to	to	ADP
fcis-21102	132	19	the	the	DET
fcis-21102	132	20	network	network	NOUN
fcis-21102	132	21	for	for	ADP
fcis-21102	132	22	at	at	ADV
fcis-21102	132	23	least	least	ADJ
fcis-21102	132	24	twenty	twenty	NUM
fcis-21102	132	25	-	-	PUNCT
fcis-21102	132	26	four	four	NUM
fcis-21102	132	27	hours	hour	NOUN
fcis-21102	132	28	.	.	PUNCT
fcis-21102	133	1	suppose	suppose	VERB
fcis-21102	133	2	that	that	SCONJ
fcis-21102	133	3	node	node	PROPN
fcis-21102	133	4	's	's	PART
fcis-21102	133	5	database	database	NOUN
fcis-21102	133	6	101	101	NUM
fcis-21102	133	7	and	and	CCONJ
fcis-21102	133	8	end	end	NOUN
fcis-21102	133	9	table	table	NOUN
fcis-21102	133	10	might	might	AUX
fcis-21102	133	11	store	store	VERB
fcis-21102	133	12	some	some	DET
fcis-21102	133	13	information	information	NOUN
fcis-21102	133	14	about	about	ADP
fcis-21102	133	15	its	its	PRON
fcis-21102	133	16	neighbor	neighbor	NOUN
fcis-21102	133	17	nodes	nod	VERB
fcis-21102	133	18	.	.	PUNCT
fcis-21102	134	1	data	datum	NOUN
fcis-21102	134	2	collected	collect	VERB
fcis-21102	134	3	from	from	ADP
fcis-21102	134	4	this	this	DET
fcis-21102	134	5	state	state	NOUN
fcis-21102	134	6	is	be	AUX
fcis-21102	134	7	considered	consider	VERB
fcis-21102	134	8	"	"	PUNCT
fcis-21102	134	9	normal	normal	ADJ
fcis-21102	134	10	network	network	NOUN
fcis-21102	134	11	traffic	traffic	NOUN
fcis-21102	134	12	"	"	PUNCT
fcis-21102	134	13	or	or	CCONJ
fcis-21102	134	14	"	"	PUNCT
fcis-21102	134	15	majority	majority	NOUN
fcis-21102	134	16	samples	sample	NOUN
fcis-21102	134	17	"	"	PUNCT
fcis-21102	134	18	.	.	PUNCT
fcis-21102	135	1	the	the	DET
fcis-21102	135	2	second	second	ADJ
fcis-21102	135	3	stage	stage	NOUN
fcis-21102	135	4	is	be	AUX
fcis-21102	135	5	the	the	DET
fcis-21102	135	6	offensive	offensive	ADJ
fcis-21102	135	7	state	state	NOUN
fcis-21102	135	8	.	.	PUNCT
fcis-21102	136	1	at	at	ADP
fcis-21102	136	2	this	this	DET
fcis-21102	136	3	stage	stage	NOUN
fcis-21102	136	4	,	,	PUNCT
fcis-21102	136	5	the	the	DET
fcis-21102	136	6	eclipse	eclipse	NOUN
fcis-21102	136	7	attack	attack	NOUN
fcis-21102	136	8	was	be	AUX
fcis-21102	136	9	launched	launch	VERB
fcis-21102	136	10	while	while	SCONJ
fcis-21102	136	11	the	the	DET
fcis-21102	136	12	ethereum	ethereum	NOUN
fcis-21102	136	13	system	system	NOUN
fcis-21102	136	14	was	be	AUX
fcis-21102	136	15	running	run	VERB
fcis-21102	136	16	.	.	PUNCT
fcis-21102	137	1	data	datum	NOUN
fcis-21102	137	2	collected	collect	VERB
fcis-21102	137	3	from	from	ADP
fcis-21102	137	4	this	this	DET
fcis-21102	137	5	state	state	NOUN
fcis-21102	137	6	is	be	AUX
fcis-21102	137	7	considered	consider	VERB
fcis-21102	137	8	"	"	PUNCT
fcis-21102	137	9	eclipse	eclipse	ADJ
fcis-21102	137	10	attack	attack	NOUN
fcis-21102	137	11	network	network	NOUN
fcis-21102	137	12	traffic	traffic	NOUN
fcis-21102	137	13	"	"	PUNCT
fcis-21102	137	14	or	or	CCONJ
fcis-21102	137	15	"	"	PUNCT
fcis-21102	137	16	minority	minority	NOUN
fcis-21102	137	17	samples	sample	NOUN
fcis-21102	137	18	"	"	PUNCT
fcis-21102	137	19	.	.	PUNCT
fcis-21102	138	1	finally	finally	ADV
fcis-21102	138	2	,	,	PUNCT
fcis-21102	138	3	reconnect	reconnect	VERB
fcis-21102	138	4	the	the	DET
fcis-21102	138	5	state	state	NOUN
fcis-21102	138	6	.	.	PUNCT
fcis-21102	139	1	after	after	SCONJ
fcis-21102	139	2	an	an	DET
fcis-21102	139	3	eclipse	eclipse	NOUN
fcis-21102	139	4	attack	attack	NOUN
fcis-21102	139	5	is	be	AUX
fcis-21102	139	6	launched	launch	VERB
fcis-21102	139	7	,	,	PUNCT
fcis-21102	139	8	each	each	DET
fcis-21102	139	9	target	target	NOUN
fcis-21102	139	10	node	node	NOUN
fcis-21102	139	11	will	will	AUX
fcis-21102	139	12	reboot	reboot	VERB
fcis-21102	139	13	and	and	CCONJ
fcis-21102	139	14	reconnect	reconnect	VERB
fcis-21102	139	15	to	to	ADP
fcis-21102	139	16	the	the	DET
fcis-21102	139	17	ethereum	ethereum	NOUN
fcis-21102	139	18	network	network	NOUN
fcis-21102	139	19	.	.	PUNCT
fcis-21102	140	1	technically	technically	ADV
fcis-21102	140	2	,	,	PUNCT
fcis-21102	140	3	the	the	DET
fcis-21102	140	4	end	end	NOUN
fcis-21102	140	5	table	table	NOUN
fcis-21102	140	6	is	be	AUX
fcis-21102	140	7	empty	empty	ADJ
fcis-21102	140	8	when	when	SCONJ
fcis-21102	140	9	a	a	DET
fcis-21102	140	10	node	node	NOUN
fcis-21102	140	11	is	be	AUX
fcis-21102	140	12	in	in	ADP
fcis-21102	140	13	this	this	DET
fcis-21102	140	14	state	state	NOUN
fcis-21102	140	15	.	.	PUNCT
fcis-21102	141	1	therefore	therefore	ADV
fcis-21102	141	2	,	,	PUNCT
fcis-21102	141	3	an	an	DET
fcis-21102	141	4	attacker	attacker	NOUN
fcis-21102	141	5	can	can	AUX
fcis-21102	141	6	easily	easily	ADV
fcis-21102	141	7	control	control	VERB
fcis-21102	141	8	a	a	DET
fcis-21102	141	9	node	node	NOUN
fcis-21102	141	10	by	by	ADP
fcis-21102	141	11	launching	launch	VERB
fcis-21102	141	12	inbound	inbound	ADJ
fcis-21102	141	13	packets	packet	NOUN
fcis-21102	141	14	to	to	ADP
fcis-21102	141	15	the	the	DET
fcis-21102	141	16	target	target	NOUN
fcis-21102	141	17	node	node	NOUN
fcis-21102	141	18	.	.	PUNCT
fcis-21102	142	1	data	datum	NOUN
fcis-21102	142	2	collected	collect	VERB
fcis-21102	142	3	from	from	ADP
fcis-21102	142	4	this	this	DET
fcis-21102	142	5	state	state	NOUN
fcis-21102	142	6	is	be	AUX
fcis-21102	142	7	also	also	ADV
fcis-21102	142	8	considered	consider	VERB
fcis-21102	142	9	"	"	PUNCT
fcis-21102	142	10	eclipse	eclipse	ADJ
fcis-21102	142	11	attack	attack	NOUN
fcis-21102	142	12	network	network	NOUN
fcis-21102	142	13	traffic	traffic	NOUN
fcis-21102	142	14	"	"	PUNCT
fcis-21102	142	15	and	and	CCONJ
fcis-21102	142	16	"	"	PUNCT
fcis-21102	142	17	minority	minority	NOUN
fcis-21102	142	18	samples	sample	NOUN
fcis-21102	142	19	"	"	PUNCT
fcis-21102	142	20	.	.	PUNCT
fcis-21102	143	1	3.2.2	3.2.2	X
fcis-21102	143	2	.	.	PUNCT
fcis-21102	143	3	model	model	NOUN
fcis-21102	143	4	building	build	VERB
fcis-21102	143	5	this	this	DET
fcis-21102	143	6	article	article	NOUN
fcis-21102	143	7	follows	follow	VERB
fcis-21102	143	8	the	the	DET
fcis-21102	143	9	following	follow	VERB
fcis-21102	143	10	steps	step	NOUN
fcis-21102	143	11	to	to	PART
fcis-21102	143	12	build	build	VERB
fcis-21102	143	13	the	the	DET
fcis-21102	143	14	model	model	NOUN
fcis-21102	143	15	:	:	PUNCT
fcis-21102	143	16	(	(	PUNCT
fcis-21102	143	17	1	1	X
fcis-21102	143	18	)	)	PUNCT
fcis-21102	143	19	data	datum	NOUN
fcis-21102	143	20	preprocessing	preprocessing	NOUN
fcis-21102	143	21	and	and	CCONJ
fcis-21102	143	22	cleaning	cleaning	NOUN
fcis-21102	143	23	:	:	PUNCT
fcis-21102	143	24	first	first	ADV
fcis-21102	143	25	,	,	PUNCT
fcis-21102	143	26	the	the	DET
fcis-21102	143	27	data	datum	NOUN
fcis-21102	143	28	set	set	VERB
fcis-21102	143	29	is	be	AUX
fcis-21102	143	30	preprocessed	preprocesse	VERB
fcis-21102	143	31	and	and	CCONJ
fcis-21102	143	32	cleaned	clean	VERB
fcis-21102	143	33	to	to	PART
fcis-21102	143	34	correct	correct	VERB
fcis-21102	143	35	missing	missing	ADJ
fcis-21102	143	36	values	value	NOUN
fcis-21102	143	37	,	,	PUNCT
fcis-21102	143	38	outliers	outlier	NOUN
fcis-21102	143	39	,	,	PUNCT
fcis-21102	143	40	or	or	CCONJ
fcis-21102	143	41	inconsistencies	inconsistency	NOUN
fcis-21102	143	42	,	,	PUNCT
fcis-21102	143	43	which	which	PRON
fcis-21102	143	44	may	may	AUX
fcis-21102	143	45	negatively	negatively	ADV
fcis-21102	143	46	affect	affect	VERB
fcis-21102	143	47	the	the	DET
fcis-21102	143	48	quality	quality	NOUN
fcis-21102	143	49	of	of	ADP
fcis-21102	143	50	the	the	DET
fcis-21102	143	51	model	model	NOUN
fcis-21102	143	52	.	.	PUNCT
fcis-21102	144	1	(	(	PUNCT
fcis-21102	144	2	2	2	X
fcis-21102	144	3	)	)	PUNCT
fcis-21102	144	4	data	datum	NOUN
fcis-21102	144	5	set	set	VERB
fcis-21102	144	6	preparation	preparation	NOUN
fcis-21102	144	7	for	for	ADP
fcis-21102	144	8	bayesian	bayesian	NOUN
fcis-21102	144	9	hyperparameter	hyperparameter	NOUN
fcis-21102	144	10	optimization	optimization	NOUN
fcis-21102	144	11	:	:	PUNCT
fcis-21102	144	12	a	a	DET
fcis-21102	144	13	smaller	small	ADJ
fcis-21102	144	14	data	datum	NOUN
fcis-21102	144	15	set	set	VERB
fcis-21102	144	16	was	be	AUX
fcis-21102	144	17	constructed	construct	VERB
fcis-21102	144	18	from	from	ADP
fcis-21102	144	19	the	the	DET
fcis-21102	144	20	complete	complete	ADJ
fcis-21102	144	21	data	datum	NOUN
fcis-21102	144	22	set	set	VERB
fcis-21102	144	23	for	for	ADP
fcis-21102	144	24	bayesian	bayesian	ADJ
fcis-21102	144	25	optimization	optimization	NOUN
fcis-21102	144	26	of	of	ADP
fcis-21102	144	27	the	the	DET
fcis-21102	144	28	hyperparameters	hyperparameter	NOUN
fcis-21102	144	29	of	of	ADP
fcis-21102	144	30	the	the	DET
fcis-21102	144	31	xgboost	xgboost	PROPN
fcis-21102	144	32	base	base	PROPN
fcis-21102	144	33	model	model	NOUN
fcis-21102	144	34	.	.	PUNCT
fcis-21102	145	1	this	this	DET
fcis-21102	145	2	step	step	NOUN
fcis-21102	145	3	is	be	AUX
fcis-21102	145	4	to	to	PART
fcis-21102	145	5	obtain	obtain	VERB
fcis-21102	145	6	optimal	optimal	ADJ
fcis-21102	145	7	hyperparameters	hyperparameter	NOUN
fcis-21102	145	8	when	when	SCONJ
fcis-21102	145	9	training	training	NOUN
fcis-21102	145	10	and	and	CCONJ
fcis-21102	145	11	testing	test	VERB
fcis-21102	145	12	the	the	DET
fcis-21102	145	13	model	model	NOUN
fcis-21102	145	14	on	on	ADP
fcis-21102	145	15	the	the	DET
fcis-21102	145	16	full	full	ADJ
fcis-21102	145	17	data	datum	NOUN
fcis-21102	145	18	set	set	VERB
fcis-21102	145	19	.	.	PUNCT
fcis-21102	146	1	(	(	PUNCT
fcis-21102	146	2	3	3	X
fcis-21102	146	3	)	)	PUNCT
fcis-21102	146	4	application	application	NOUN
fcis-21102	146	5	of	of	ADP
fcis-21102	146	6	parallel	parallel	ADJ
fcis-21102	146	7	processing	processing	NOUN
fcis-21102	146	8	:	:	PUNCT
fcis-21102	146	9	ensure	ensure	VERB
fcis-21102	146	10	the	the	DET
fcis-21102	146	11	use	use	NOUN
fcis-21102	146	12	of	of	ADP
fcis-21102	146	13	parallel	parallel	ADJ
fcis-21102	146	14	processing	processing	NOUN
fcis-21102	146	15	during	during	ADP
fcis-21102	146	16	bayesian	bayesian	NOUN
fcis-21102	146	17	hyperparameter	hyperparameter	NOUN
fcis-21102	146	18	optimization	optimization	NOUN
fcis-21102	146	19	and	and	CCONJ
fcis-21102	146	20	model	model	NOUN
fcis-21102	146	21	training	training	NOUN
fcis-21102	146	22	and	and	CCONJ
fcis-21102	146	23	testing	testing	NOUN
fcis-21102	146	24	to	to	PART
fcis-21102	146	25	improve	improve	VERB
fcis-21102	146	26	computational	computational	ADJ
fcis-21102	146	27	efficiency	efficiency	NOUN
fcis-21102	146	28	.	.	PUNCT
fcis-21102	147	1	(	(	PUNCT
fcis-21102	147	2	4	4	X
fcis-21102	147	3	)	)	PUNCT
fcis-21102	147	4	definition	definition	NOUN
fcis-21102	147	5	of	of	ADP
fcis-21102	147	6	fold	fold	ADJ
fcis-21102	147	7	number	number	NOUN
fcis-21102	147	8	of	of	ADP
fcis-21102	147	9	cross	cross	NOUN
fcis-21102	147	10	-	-	NOUN
fcis-21102	147	11	validation	validation	ADJ
fcis-21102	147	12	:	:	PUNCT
fcis-21102	147	13	define	define	VERB
fcis-21102	147	14	the	the	DET
fcis-21102	147	15	fold	fold	ADJ
fcis-21102	147	16	number	number	NOUN
fcis-21102	147	17	of	of	ADP
fcis-21102	147	18	cross	cross	NOUN
fcis-21102	147	19	-	-	NOUN
fcis-21102	147	20	validation	validation	NOUN
fcis-21102	147	21	.	.	PUNCT
fcis-21102	148	1	in	in	ADP
fcis-21102	148	2	the	the	DET
fcis-21102	148	3	case	case	NOUN
fcis-21102	148	4	of	of	ADP
fcis-21102	148	5	this	this	DET
fcis-21102	148	6	article	article	NOUN
fcis-21102	148	7	,	,	PUNCT
fcis-21102	148	8	10	10	NUM
fcis-21102	148	9	-	-	ADJ
fcis-21102	148	10	fold	fold	ADJ
fcis-21102	148	11	cross	cross	NOUN
fcis-21102	148	12	-	-	ADJ
fcis-21102	148	13	validation	validation	NOUN
fcis-21102	148	14	is	be	AUX
fcis-21102	148	15	used	use	VERB
fcis-21102	148	16	,	,	PUNCT
fcis-21102	148	17	that	that	ADV
fcis-21102	148	18	is	is	ADV
fcis-21102	148	19	,	,	PUNCT
fcis-21102	148	20	k=10	k=10	PROPN
fcis-21102	148	21	.	.	PUNCT
fcis-21102	149	1	(	(	PUNCT
fcis-21102	149	2	5	5	X
fcis-21102	149	3	)	)	PUNCT
fcis-21102	149	4	model	model	NOUN
fcis-21102	149	5	initialization	initialization	NOUN
fcis-21102	149	6	:	:	PUNCT
fcis-21102	149	7	use	use	VERB
fcis-21102	149	8	xgboost	xgboost	ADV
fcis-21102	149	9	as	as	ADP
fcis-21102	149	10	the	the	DET
fcis-21102	149	11	base	base	NOUN
fcis-21102	149	12	algorithm	algorithm	NOUN
fcis-21102	149	13	and	and	CCONJ
fcis-21102	149	14	bagging	bagging	NOUN
fcis-21102	149	15	as	as	SCONJ
fcis-21102	149	16	the	the	DET
fcis-21102	149	17	wrapper	wrapper	NOUN
fcis-21102	149	18	to	to	PART
fcis-21102	149	19	initialize	initialize	VERB
fcis-21102	149	20	the	the	DET
fcis-21102	149	21	model	model	NOUN
fcis-21102	149	22	.	.	PUNCT
fcis-21102	150	1	(	(	PUNCT
fcis-21102	150	2	6	6	NUM
fcis-21102	150	3	)	)	PUNCT
fcis-21102	150	4	cross	cross	ADJ
fcis-21102	150	5	-	-	ADJ
fcis-21102	150	6	validation	validation	ADJ
fcis-21102	150	7	loop	loop	NOUN
fcis-21102	150	8	:	:	PUNCT
fcis-21102	150	9	loop	loop	NOUN
fcis-21102	150	10	through	through	ADP
fcis-21102	150	11	each	each	DET
fcis-21102	150	12	fold	fold	NOUN
fcis-21102	150	13	of	of	ADP
fcis-21102	150	14	the	the	DET
fcis-21102	150	15	cross	cross	NOUN
fcis-21102	150	16	-	-	ADJ
fcis-21102	150	17	validation	validation	NOUN
fcis-21102	150	18	and	and	CCONJ
fcis-21102	150	19	perform	perform	VERB
fcis-21102	150	20	the	the	DET
fcis-21102	150	21	following	follow	VERB
fcis-21102	150	22	steps	step	NOUN
fcis-21102	150	23	:	:	PUNCT
fcis-21102	150	24	·	·	PUNCT
fcis-21102	150	25	divide	divide	VERB
fcis-21102	150	26	the	the	DET
fcis-21102	150	27	training	training	NOUN
fcis-21102	150	28	data	datum	NOUN
fcis-21102	150	29	into	into	ADP
fcis-21102	150	30	k	k	PROPN
fcis-21102	150	31	folds	fold	NOUN
fcis-21102	150	32	;	;	PUNCT
fcis-21102	150	33	·	·	PUNCT
fcis-21102	150	34	for	for	ADP
fcis-21102	150	35	each	each	DET
fcis-21102	150	36	fold	fold	NOUN
fcis-21102	150	37	,	,	PUNCT
fcis-21102	150	38	use	use	VERB
fcis-21102	150	39	bagging	bagging	NOUN
fcis-21102	150	40	to	to	PART
fcis-21102	150	41	create	create	VERB
fcis-21102	150	42	multiple	multiple	ADJ
fcis-21102	150	43	instances	instance	NOUN
fcis-21102	150	44	of	of	ADP
fcis-21102	150	45	the	the	DET
fcis-21102	150	46	xgboost	xgboost	PROPN
fcis-21102	150	47	model	model	PROPN
fcis-21102	150	48	,	,	PUNCT
fcis-21102	150	49	each	each	PRON
fcis-21102	150	50	using	use	VERB
fcis-21102	150	51	·	·	PUNCT
fcis-21102	150	52	use	use	VERB
fcis-21102	150	53	different	different	ADJ
fcis-21102	150	54	subsets	subset	NOUN
fcis-21102	150	55	of	of	ADP
fcis-21102	150	56	training	training	NOUN
fcis-21102	150	57	data	datum	NOUN
fcis-21102	150	58	;	;	PUNCT
fcis-21102	150	59	·	·	PUNCT
fcis-21102	150	60	corresponding	correspond	VERB
fcis-21102	150	61	to	to	ADP
fcis-21102	150	62	each	each	DET
fcis-21102	150	63	bagged	bag	VERB
fcis-21102	150	64	xgboost	xgboost	PROPN
fcis-21102	150	65	model	model	PROPN
fcis-21102	150	66	,	,	PUNCT
fcis-21102	150	67	use	use	VERB
fcis-21102	150	68	the	the	DET
fcis-21102	150	69	corresponding	corresponding	ADJ
fcis-21102	150	70	training	training	NOUN
fcis-21102	150	71	data	datum	NOUN
fcis-21102	150	72	subset	subset	VERB
fcis-21102	150	73	for	for	ADP
fcis-21102	150	74	training	training	NOUN
fcis-21102	150	75	;	;	PUNCT
fcis-21102	150	76	·	·	PUNCT
fcis-21102	150	77	use	use	VERB
fcis-21102	150	78	the	the	DET
fcis-21102	150	79	trained	train	VERB
fcis-21102	150	80	xgboost	xgboost	PROPN
fcis-21102	150	81	model	model	NOUN
fcis-21102	150	82	to	to	PART
fcis-21102	150	83	predict	predict	VERB
fcis-21102	150	84	the	the	DET
fcis-21102	150	85	test	test	NOUN
fcis-21102	150	86	data	datum	NOUN
fcis-21102	150	87	.	.	PUNCT
fcis-21102	151	1	(	(	PUNCT
fcis-21102	151	2	7	7	X
fcis-21102	151	3	)	)	PUNCT
fcis-21102	151	4	aggregation	aggregation	NOUN
fcis-21102	151	5	of	of	ADP
fcis-21102	151	6	prediction	prediction	NOUN
fcis-21102	151	7	results	result	NOUN
fcis-21102	151	8	:	:	PUNCT
fcis-21102	151	9	aggregate	aggregate	VERB
fcis-21102	151	10	the	the	DET
fcis-21102	151	11	prediction	prediction	NOUN
fcis-21102	151	12	results	result	NOUN
fcis-21102	151	13	of	of	ADP
fcis-21102	151	14	all	all	DET
fcis-21102	151	15	models	model	NOUN
fcis-21102	151	16	through	through	ADP
fcis-21102	151	17	the	the	DET
fcis-21102	151	18	average	average	ADJ
fcis-21102	151	19	method	method	NOUN
fcis-21102	151	20	to	to	PART
fcis-21102	151	21	obtain	obtain	VERB
fcis-21102	151	22	the	the	DET
fcis-21102	151	23	final	final	ADJ
fcis-21102	151	24	prediction	prediction	NOUN
fcis-21102	151	25	for	for	ADP
fcis-21102	151	26	each	each	DET
fcis-21102	151	27	instance	instance	NOUN
fcis-21102	151	28	in	in	ADP
fcis-21102	151	29	the	the	DET
fcis-21102	151	30	test	test	NOUN
fcis-21102	151	31	data	datum	NOUN
fcis-21102	151	32	.	.	PUNCT
fcis-21102	152	1	(	(	PUNCT
fcis-21102	152	2	8)	8)	NUM
fcis-21102	152	3	performance	performance	NOUN
fcis-21102	152	4	evaluation	evaluation	NOUN
fcis-21102	152	5	:	:	PUNCT
fcis-21102	152	6	calculate	calculate	NOUN
fcis-21102	152	7	evaluation	evaluation	NOUN
fcis-21102	152	8	indicators	indicator	NOUN
fcis-21102	152	9	such	such	ADJ
fcis-21102	152	10	as	as	ADP
fcis-21102	152	11	cohen	cohen	PROPN
fcis-21102	152	12	's	's	PART
fcis-21102	152	13	kappa	kappa	PROPN
fcis-21102	152	14	,	,	PUNCT
fcis-21102	152	15	f1	f1	ADJ
fcis-21102	152	16	score	score	NOUN
fcis-21102	152	17	,	,	PUNCT
fcis-21102	152	18	precision	precision	NOUN
fcis-21102	152	19	,	,	PUNCT
fcis-21102	152	20	recall	recall	NOUN
fcis-21102	152	21	rate	rate	NOUN
fcis-21102	152	22	,	,	PUNCT
fcis-21102	152	23	and	and	CCONJ
fcis-21102	152	24	roc	roc	PROPN
fcis-21102	152	25	auc	auc	NOUN
fcis-21102	152	26	to	to	PART
fcis-21102	152	27	evaluate	evaluate	VERB
fcis-21102	152	28	the	the	DET
fcis-21102	152	29	performance	performance	NOUN
fcis-21102	152	30	of	of	ADP
fcis-21102	152	31	the	the	DET
fcis-21102	152	32	model	model	NOUN
fcis-21102	152	33	.	.	PUNCT
fcis-21102	153	1	3.2.3	3.2.3	X
fcis-21102	153	2	.	.	PUNCT
fcis-21102	153	3	bayesian	bayesian	NOUN
fcis-21102	153	4	optimization	optimization	NOUN
fcis-21102	153	5	in	in	ADP
fcis-21102	153	6	machine	machine	NOUN
fcis-21102	153	7	learning	learning	NOUN
fcis-21102	154	1	,	,	PUNCT
fcis-21102	154	2	hyperparameters	hyperparameter	NOUN
fcis-21102	154	3	are	be	AUX
fcis-21102	154	4	model	model	NOUN
fcis-21102	154	5	parameters	parameter	NOUN
fcis-21102	154	6	that	that	PRON
fcis-21102	154	7	are	be	AUX
fcis-21102	154	8	set	set	VERB
fcis-21102	154	9	before	before	ADP
fcis-21102	154	10	the	the	DET
fcis-21102	154	11	training	training	NOUN
fcis-21102	154	12	process	process	NOUN
fcis-21102	154	13	rather	rather	ADV
fcis-21102	154	14	than	than	ADP
fcis-21102	154	15	learned	learn	VERB
fcis-21102	154	16	from	from	ADP
fcis-21102	154	17	the	the	DET
fcis-21102	154	18	training	training	NOUN
fcis-21102	154	19	data	datum	NOUN
fcis-21102	154	20	,	,	PUNCT
fcis-21102	154	21	such	such	ADJ
fcis-21102	154	22	as	as	ADP
fcis-21102	154	23	learning	learn	VERB
fcis-21102	154	24	rate	rate	NOUN
fcis-21102	154	25	,	,	PUNCT
fcis-21102	154	26	number	number	NOUN
fcis-21102	154	27	of	of	ADP
fcis-21102	154	28	hidden	hidden	ADJ
fcis-21102	154	29	layers	layer	NOUN
fcis-21102	154	30	,	,	PUNCT
fcis-21102	154	31	and	and	CCONJ
fcis-21102	154	32	regularization	regularization	NOUN
fcis-21102	154	33	strength	strength	NOUN
fcis-21102	154	34	.	.	PUNCT
fcis-21102	155	1	bayesian	bayesian	NOUN
fcis-21102	155	2	optimization	optimization	NOUN
fcis-21102	155	3	is	be	AUX
fcis-21102	155	4	a	a	DET
fcis-21102	155	5	technique	technique	NOUN
fcis-21102	155	6	used	use	VERB
fcis-21102	155	7	for	for	ADP
fcis-21102	155	8	hyperparameter	hyperparameter	NOUN
fcis-21102	155	9	tuning	tune	VERB
fcis-21102	155	10	in	in	ADP
fcis-21102	155	11	machine	machine	NOUN
fcis-21102	155	12	learning	learning	NOUN
fcis-21102	155	13	,	,	PUNCT
fcis-21102	155	14	which	which	PRON
fcis-21102	155	15	aims	aim	VERB
fcis-21102	155	16	to	to	PART
fcis-21102	155	17	find	find	VERB
fcis-21102	155	18	an	an	DET
fcis-21102	155	19	optimal	optimal	ADJ
fcis-21102	155	20	set	set	NOUN
fcis-21102	155	21	of	of	ADP
fcis-21102	155	22	hyperparameter	hyperparameter	NOUN
fcis-21102	155	23	combinations	combination	NOUN
fcis-21102	155	24	for	for	ADP
fcis-21102	155	25	the	the	DET
fcis-21102	155	26	model	model	NOUN
fcis-21102	155	27	.	.	PUNCT
fcis-21102	156	1	bayesian	bayesian	NOUN
fcis-21102	156	2	optimization	optimization	NOUN
fcis-21102	156	3	models	model	VERB
fcis-21102	156	4	the	the	DET
fcis-21102	156	5	relationship	relationship	NOUN
fcis-21102	156	6	between	between	ADP
fcis-21102	156	7	hyperparameters	hyperparameter	NOUN
fcis-21102	156	8	and	and	CCONJ
fcis-21102	156	9	model	model	NOUN
fcis-21102	156	10	performance	performance	NOUN
fcis-21102	156	11	,	,	PUNCT
fcis-21102	156	12	often	often	ADV
fcis-21102	156	13	using	use	VERB
fcis-21102	156	14	a	a	DET
fcis-21102	156	15	gaussian	gaussian	ADJ
fcis-21102	156	16	process	process	NOUN
fcis-21102	156	17	to	to	PART
fcis-21102	156	18	guide	guide	VERB
fcis-21102	156	19	the	the	DET
fcis-21102	156	20	search	search	NOUN
fcis-21102	156	21	process	process	NOUN
fcis-21102	156	22	to	to	PART
fcis-21102	156	23	find	find	VERB
fcis-21102	156	24	optimal	optimal	ADJ
fcis-21102	156	25	hyperparameters	hyperparameter	NOUN
fcis-21102	156	26	that	that	PRON
fcis-21102	156	27	maximize	maximize	VERB
fcis-21102	156	28	performance	performance	NOUN
fcis-21102	156	29	metrics	metric	NOUN
fcis-21102	156	30	(	(	PUNCT
fcis-21102	156	31	such	such	ADJ
fcis-21102	156	32	as	as	ADP
fcis-21102	156	33	accuracy	accuracy	NOUN
fcis-21102	156	34	,	,	PUNCT
fcis-21102	156	35	f1	f1	NOUN
fcis-21102	156	36	score	score	NOUN
fcis-21102	156	37	,	,	PUNCT
fcis-21102	156	38	or	or	CCONJ
fcis-21102	156	39	auc	auc	NOUN
fcis-21102	156	40	)	)	PUNCT
fcis-21102	156	41	while	while	SCONJ
fcis-21102	156	42	minimizing	minimize	VERB
fcis-21102	156	43	the	the	DET
fcis-21102	156	44	number	number	NOUN
fcis-21102	156	45	of	of	ADP
fcis-21102	156	46	model	model	NOUN
fcis-21102	156	47	evaluations	evaluation	NOUN
fcis-21102	156	48	.	.	PUNCT
fcis-21102	157	1	in	in	ADP
fcis-21102	157	2	order	order	NOUN
fcis-21102	157	3	to	to	PART
fcis-21102	157	4	speed	speed	VERB
fcis-21102	157	5	up	up	ADP
fcis-21102	157	6	the	the	DET
fcis-21102	157	7	hyperparameter	hyperparameter	NOUN
fcis-21102	157	8	tuning	tuning	NOUN
fcis-21102	157	9	process	process	NOUN
fcis-21102	157	10	,	,	PUNCT
fcis-21102	157	11	this	this	DET
fcis-21102	157	12	paper	paper	NOUN
fcis-21102	157	13	selects	select	VERB
fcis-21102	157	14	a	a	DET
fcis-21102	157	15	smaller	small	ADJ
fcis-21102	157	16	data	datum	NOUN
fcis-21102	157	17	subset	subset	VERB
fcis-21102	157	18	from	from	ADP
fcis-21102	157	19	the	the	DET
fcis-21102	157	20	main	main	ADJ
fcis-21102	157	21	data	datum	NOUN
fcis-21102	157	22	set	set	VERB
fcis-21102	157	23	for	for	ADP
fcis-21102	157	24	bayesian	bayesian	NOUN
fcis-21102	157	25	optimization	optimization	NOUN
fcis-21102	157	26	.	.	PUNCT
fcis-21102	158	1	hyperparameter	hyperparameter	NOUN
fcis-21102	158	2	optimization	optimization	NOUN
fcis-21102	158	3	using	use	VERB
fcis-21102	158	4	methods	method	NOUN
fcis-21102	158	5	such	such	ADJ
fcis-21102	158	6	as	as	ADP
fcis-21102	158	7	grid	grid	NOUN
fcis-21102	158	8	search	search	NOUN
fcis-21102	158	9	or	or	CCONJ
fcis-21102	158	10	random	random	ADJ
fcis-21102	158	11	search	search	NOUN
fcis-21102	158	12	can	can	AUX
fcis-21102	158	13	be	be	AUX
fcis-21102	158	14	computationally	computationally	ADV
fcis-21102	158	15	expensive	expensive	ADJ
fcis-21102	158	16	,	,	PUNCT
fcis-21102	158	17	especially	especially	ADV
fcis-21102	158	18	when	when	SCONJ
fcis-21102	158	19	the	the	DET
fcis-21102	158	20	dataset	dataset	NOUN
fcis-21102	158	21	is	be	AUX
fcis-21102	158	22	large	large	ADJ
fcis-21102	158	23	or	or	CCONJ
fcis-21102	158	24	the	the	DET
fcis-21102	158	25	number	number	NOUN
fcis-21102	158	26	of	of	ADP
fcis-21102	158	27	hyperparameters	hyperparameter	NOUN
fcis-21102	158	28	that	that	PRON
fcis-21102	158	29	need	need	VERB
fcis-21102	158	30	to	to	PART
fcis-21102	158	31	be	be	AUX
fcis-21102	158	32	tuned	tune	VERB
fcis-21102	158	33	is	be	AUX
fcis-21102	158	34	high	high	ADJ
fcis-21102	158	35	.	.	PUNCT
fcis-21102	159	1	using	use	VERB
fcis-21102	159	2	a	a	DET
fcis-21102	159	3	smaller	small	ADJ
fcis-21102	159	4	data	datum	NOUN
fcis-21102	159	5	set	set	VERB
fcis-21102	159	6	for	for	ADP
fcis-21102	159	7	bayesian	bayesian	NOUN
fcis-21102	159	8	optimization	optimization	NOUN
fcis-21102	159	9	can	can	AUX
fcis-21102	159	10	significantly	significantly	ADV
fcis-21102	159	11	reduce	reduce	VERB
fcis-21102	159	12	the	the	DET
fcis-21102	159	13	time	time	NOUN
fcis-21102	159	14	required	require	VERB
fcis-21102	159	15	to	to	PART
fcis-21102	159	16	find	find	VERB
fcis-21102	159	17	optimal	optimal	ADJ
fcis-21102	159	18	hyperparameters	hyperparameter	NOUN
fcis-21102	159	19	.	.	PUNCT
fcis-21102	160	1	by	by	ADP
fcis-21102	160	2	reducing	reduce	VERB
fcis-21102	160	3	the	the	DET
fcis-21102	160	4	size	size	NOUN
fcis-21102	160	5	of	of	ADP
fcis-21102	160	6	the	the	DET
fcis-21102	160	7	data	datum	NOUN
fcis-21102	160	8	set	set	VERB
fcis-21102	160	9	,	,	PUNCT
fcis-21102	160	10	the	the	DET
fcis-21102	160	11	time	time	NOUN
fcis-21102	160	12	required	require	VERB
fcis-21102	160	13	for	for	ADP
fcis-21102	160	14	model	model	NOUN
fcis-21102	160	15	training	training	NOUN
fcis-21102	160	16	and	and	CCONJ
fcis-21102	160	17	evaluation	evaluation	NOUN
fcis-21102	160	18	is	be	AUX
fcis-21102	160	19	shortened	shorten	VERB
fcis-21102	160	20	,	,	PUNCT
fcis-21102	160	21	allowing	allow	VERB
fcis-21102	160	22	optimization	optimization	NOUN
fcis-21102	160	23	algorithms	algorithm	NOUN
fcis-21102	160	24	to	to	PART
fcis-21102	160	25	explore	explore	VERB
fcis-21102	160	26	the	the	DET
fcis-21102	160	27	hyperparameter	hyperparameter	NOUN
fcis-21102	160	28	space	space	NOUN
fcis-21102	160	29	faster	fast	ADV
fcis-21102	160	30	.	.	PUNCT
fcis-21102	161	1	once	once	SCONJ
fcis-21102	161	2	the	the	DET
fcis-21102	161	3	optimal	optimal	ADJ
fcis-21102	161	4	hyperparameters	hyperparameter	NOUN
fcis-21102	161	5	are	be	AUX
fcis-21102	161	6	found	find	VERB
fcis-21102	161	7	using	use	VERB
fcis-21102	161	8	a	a	DET
fcis-21102	161	9	smaller	small	ADJ
fcis-21102	161	10	dataset	dataset	NOUN
fcis-21102	161	11	,	,	PUNCT
fcis-21102	161	12	these	these	DET
fcis-21102	161	13	hyperparameters	hyperparameter	NOUN
fcis-21102	161	14	can	can	AUX
fcis-21102	161	15	be	be	AUX
fcis-21102	161	16	used	use	VERB
fcis-21102	161	17	to	to	PART
fcis-21102	161	18	train	train	VERB
fcis-21102	161	19	the	the	DET
fcis-21102	161	20	model	model	NOUN
fcis-21102	161	21	on	on	ADP
fcis-21102	161	22	the	the	DET
fcis-21102	161	23	full	full	ADJ
fcis-21102	161	24	dataset	dataset	NOUN
fcis-21102	161	25	.	.	PUNCT
fcis-21102	162	1	in	in	ADP
fcis-21102	162	2	the	the	DET
fcis-21102	162	3	model	model	NOUN
fcis-21102	162	4	of	of	ADP
fcis-21102	162	5	this	this	DET
fcis-21102	162	6	article	article	NOUN
fcis-21102	162	7	,	,	PUNCT
fcis-21102	162	8	optimization	optimization	NOUN
fcis-21102	162	9	is	be	AUX
fcis-21102	162	10	implemented	implement	VERB
fcis-21102	162	11	through	through	ADP
fcis-21102	162	12	the	the	DET
fcis-21102	162	13	bayesianoptimization	bayesianoptimization	NOUN
fcis-21102	162	14	function	function	NOUN
fcis-21102	162	15	in	in	ADP
fcis-21102	162	16	the	the	DET
fcis-21102	162	17	bayes_opt	bayes_opt	ADJ
fcis-21102	162	18	package	package	NOUN
fcis-21102	162	19	.	.	PUNCT
fcis-21102	163	1	this	this	DET
fcis-21102	163	2	function	function	NOUN
fcis-21102	163	3	accepts	accept	VERB
fcis-21102	163	4	the	the	DET
fcis-21102	163	5	objective	objective	ADJ
fcis-21102	163	6	function	function	NOUN
fcis-21102	163	7	xgb_optimization	xgb_optimization	PROPN
fcis-21102	164	1	as	as	ADP
fcis-21102	164	2	a	a	DET
fcis-21102	164	3	parameter	parameter	NOUN
fcis-21102	164	4	,	,	PUNCT
fcis-21102	164	5	which	which	PRON
fcis-21102	164	6	represents	represent	VERB
fcis-21102	164	7	the	the	DET
fcis-21102	164	8	evaluation	evaluation	NOUN
fcis-21102	164	9	of	of	ADP
fcis-21102	164	10	the	the	DET
fcis-21102	164	11	xgboost	xgboost	PROPN
fcis-21102	164	12	model	model	NOUN
fcis-21102	164	13	under	under	ADP
fcis-21102	164	14	different	different	ADJ
fcis-21102	164	15	hyperparameters	hyperparameter	NOUN
fcis-21102	164	16	.	.	PUNCT
fcis-21102	165	1	the	the	DET
fcis-21102	165	2	xgb_optimization	xgb_optimization	PROPN
fcis-21102	165	3	function	function	PROPN
fcis-21102	165	4	accepts	accept	VERB
fcis-21102	165	5	the	the	DET
fcis-21102	165	6	hyperparameters	hyperparameter	NOUN
fcis-21102	165	7	to	to	PART
fcis-21102	165	8	be	be	AUX
fcis-21102	165	9	optimized	optimize	VERB
fcis-21102	165	10	and	and	CCONJ
fcis-21102	165	11	returns	return	VERB
fcis-21102	165	12	the	the	DET
fcis-21102	165	13	average	average	ADJ
fcis-21102	165	14	f1	f1	NOUN
fcis-21102	165	15	score	score	NOUN
fcis-21102	165	16	across	across	ADP
fcis-21102	165	17	all	all	DET
fcis-21102	165	18	folds	fold	NOUN
fcis-21102	165	19	.	.	PUNCT
fcis-21102	166	1	bayesian	bayesian	NOUN
fcis-21102	166	2	optimization	optimization	NOUN
fcis-21102	166	3	is	be	AUX
fcis-21102	166	4	performed	perform	VERB
fcis-21102	166	5	within	within	ADP
fcis-21102	166	6	the	the	DET
fcis-21102	166	7	range	range	NOUN
fcis-21102	166	8	of	of	ADP
fcis-21102	166	9	hyperparameters	hyperparameter	NOUN
fcis-21102	166	10	defined	define	VERB
fcis-21102	166	11	in	in	ADP
fcis-21102	166	12	the	the	DET
fcis-21102	166	13	bounds	bound	NOUN
fcis-21102	166	14	dictionary	dictionary	PROPN
fcis-21102	166	15	.	.	PUNCT
fcis-21102	167	1	the	the	DET
fcis-21102	167	2	bayesianoptimization	bayesianoptimization	NOUN
fcis-21102	167	3	function	function	NOUN
fcis-21102	167	4	finds	find	VERB
fcis-21102	167	5	the	the	DET
fcis-21102	167	6	optimal	optimal	ADJ
fcis-21102	167	7	hyperparameters	hyperparameter	NOUN
fcis-21102	167	8	of	of	ADP
fcis-21102	167	9	the	the	DET
fcis-21102	167	10	xgboost	xgboost	PROPN
fcis-21102	167	11	model	model	NOUN
fcis-21102	167	12	through	through	ADP
fcis-21102	167	13	the	the	DET
fcis-21102	167	14	process	process	NOUN
fcis-21102	167	15	of	of	ADP
fcis-21102	167	16	iterative	iterative	NOUN
fcis-21102	167	17	exploration	exploration	NOUN
fcis-21102	167	18	and	and	CCONJ
fcis-21102	167	19	utilization	utilization	NOUN
fcis-21102	167	20	.	.	PUNCT
fcis-21102	168	1	in	in	ADP
fcis-21102	168	2	the	the	DET
fcis-21102	168	3	first	first	ADJ
fcis-21102	168	4	step	step	NOUN
fcis-21102	168	5	,	,	PUNCT
fcis-21102	168	6	several	several	ADJ
fcis-21102	168	7	initial	initial	ADJ
fcis-21102	168	8	points	point	NOUN
fcis-21102	168	9	are	be	AUX
fcis-21102	168	10	randomly	randomly	ADV
fcis-21102	168	11	selected	select	VERB
fcis-21102	168	12	from	from	ADP
fcis-21102	168	13	the	the	DET
fcis-21102	168	14	hyperparameter	hyperparameter	NOUN
fcis-21102	168	15	space	space	NOUN
fcis-21102	168	16	to	to	PART
fcis-21102	168	17	explore	explore	VERB
fcis-21102	168	18	different	different	ADJ
fcis-21102	168	19	regions	region	NOUN
fcis-21102	168	20	.	.	PUNCT
fcis-21102	169	1	the	the	DET
fcis-21102	169	2	function	function	NOUN
fcis-21102	169	3	then	then	ADV
fcis-21102	169	4	uses	use	VERB
fcis-21102	169	5	a	a	DET
fcis-21102	169	6	bayesian	bayesian	NOUN
fcis-21102	169	7	model	model	NOUN
fcis-21102	169	8	to	to	PART
fcis-21102	169	9	estimate	estimate	VERB
fcis-21102	169	10	the	the	DET
fcis-21102	169	11	probability	probability	NOUN
fcis-21102	169	12	that	that	SCONJ
fcis-21102	169	13	different	different	ADJ
fcis-21102	169	14	hyperparameters	hyperparameter	NOUN
fcis-21102	169	15	lead	lead	VERB
fcis-21102	169	16	to	to	ADP
fcis-21102	169	17	the	the	DET
fcis-21102	169	18	best	good	ADJ
fcis-21102	169	19	outcome	outcome	NOUN
fcis-21102	169	20	,	,	PUNCT
fcis-21102	169	21	based	base	VERB
fcis-21102	169	22	on	on	ADP
fcis-21102	169	23	previous	previous	ADJ
fcis-21102	169	24	results	result	NOUN
fcis-21102	169	25	.	.	PUNCT
fcis-21102	170	1	the	the	DET
fcis-21102	170	2	function	function	NOUN
fcis-21102	170	3	selects	select	VERB
fcis-21102	170	4	the	the	DET
fcis-21102	170	5	hyperparameters	hyperparameter	NOUN
fcis-21102	170	6	that	that	PRON
fcis-21102	170	7	are	be	AUX
fcis-21102	170	8	expected	expect	VERB
fcis-21102	170	9	to	to	PART
fcis-21102	170	10	improve	improve	VERB
fcis-21102	170	11	the	the	PRON
fcis-21102	170	12	most	most	ADV
fcis-21102	170	13	based	base	VERB
fcis-21102	170	14	on	on	ADP
fcis-21102	170	15	the	the	DET
fcis-21102	170	16	bayesian	bayesian	NOUN
fcis-21102	170	17	model	model	NOUN
fcis-21102	170	18	and	and	CCONJ
fcis-21102	170	19	uses	use	VERB
fcis-21102	170	20	these	these	DET
fcis-21102	170	21	hyperparameters	hyperparameter	NOUN
fcis-21102	170	22	to	to	PART
fcis-21102	170	23	evaluate	evaluate	VERB
fcis-21102	170	24	the	the	DET
fcis-21102	170	25	objective	objective	ADJ
fcis-21102	170	26	function	function	NOUN
fcis-21102	170	27	.	.	PUNCT
fcis-21102	171	1	this	this	DET
fcis-21102	171	2	process	process	NOUN
fcis-21102	171	3	of	of	ADP
fcis-21102	171	4	sampling	sampling	NOUN
fcis-21102	171	5	,	,	PUNCT
fcis-21102	171	6	modeling	modeling	NOUN
fcis-21102	171	7	,	,	PUNCT
fcis-21102	171	8	and	and	CCONJ
fcis-21102	171	9	evaluation	evaluation	NOUN
fcis-21102	171	10	loops	loop	NOUN
fcis-21102	171	11	until	until	SCONJ
fcis-21102	171	12	the	the	DET
fcis-21102	171	13	maximum	maximum	ADJ
fcis-21102	171	14	number	number	NOUN
fcis-21102	171	15	of	of	ADP
fcis-21102	171	16	iterations	iteration	NOUN
fcis-21102	171	17	is	be	AUX
fcis-21102	171	18	reached	reach	VERB
fcis-21102	171	19	.	.	PUNCT
fcis-21102	172	1	3.2.4	3.2.4	NUM
fcis-21102	172	2	.	.	PUNCT
fcis-21102	172	3	parallel	parallel	ADJ
fcis-21102	172	4	processing	processing	NOUN
fcis-21102	172	5	during	during	ADP
fcis-21102	172	6	the	the	DET
fcis-21102	172	7	model	model	NOUN
fcis-21102	172	8	construction	construction	NOUN
fcis-21102	172	9	process	process	NOUN
fcis-21102	172	10	,	,	PUNCT
fcis-21102	172	11	this	this	DET
fcis-21102	172	12	article	article	NOUN
fcis-21102	172	13	realizes	realize	VERB
fcis-21102	172	14	parallel	parallel	ADJ
fcis-21102	172	15	processing	processing	NOUN
fcis-21102	172	16	of	of	ADP
fcis-21102	172	17	bayesian	bayesian	NOUN
fcis-21102	172	18	optimization	optimization	NOUN
fcis-21102	172	19	,	,	PUNCT
fcis-21102	172	20	xgboost	xgboost	NOUN
fcis-21102	172	21	and	and	CCONJ
fcis-21102	172	22	bagging	bagging	NOUN
fcis-21102	172	23	models	model	NOUN
fcis-21102	172	24	by	by	ADP
fcis-21102	172	25	setting	set	VERB
fcis-21102	172	26	the	the	DET
fcis-21102	172	27	n_jobs	n_jobs	NOUN
fcis-21102	172	28	parameter	parameter	NOUN
fcis-21102	172	29	.	.	PUNCT
fcis-21102	173	1	setting	set	VERB
fcis-21102	173	2	n_jobs	n_job	NOUN
fcis-21102	173	3	to	to	PART
fcis-21102	173	4	-1	-1	VERB
fcis-21102	173	5	enables	enable	VERB
fcis-21102	173	6	parallel	parallel	ADJ
fcis-21102	173	7	processing	processing	NOUN
fcis-21102	173	8	by	by	ADP
fcis-21102	173	9	allowing	allow	VERB
fcis-21102	173	10	the	the	DET
fcis-21102	173	11	model	model	NOUN
fcis-21102	173	12	to	to	PART
fcis-21102	173	13	utilize	utilize	VERB
fcis-21102	173	14	all	all	DET
fcis-21102	173	15	available	available	ADJ
fcis-21102	173	16	cpu	cpu	NOUN
fcis-21102	173	17	cores	core	NOUN
fcis-21102	173	18	.	.	PUNCT
fcis-21102	174	1	when	when	SCONJ
fcis-21102	174	2	defining	define	VERB
fcis-21102	174	3	the	the	DET
fcis-21102	174	4	xgboost	xgboost	PROPN
fcis-21102	174	5	model	model	NOUN
fcis-21102	174	6	,	,	PUNCT
fcis-21102	174	7	by	by	ADP
fcis-21102	174	8	n_jobs=-1	n_jobs=-1	PROPN
fcis-21102	174	9	,	,	PUNCT
fcis-21102	174	10	the	the	DET
fcis-21102	174	11	model	model	NOUN
fcis-21102	174	12	can	can	AUX
fcis-21102	174	13	use	use	VERB
fcis-21102	174	14	all	all	DET
fcis-21102	174	15	available	available	ADJ
fcis-21102	174	16	cpu	cpu	NOUN
fcis-21102	174	17	cores	core	NOUN
fcis-21102	174	18	to	to	PART
fcis-21102	174	19	accelerate	accelerate	VERB
fcis-21102	174	20	the	the	DET
fcis-21102	174	21	training	training	NOUN
fcis-21102	174	22	process	process	NOUN
fcis-21102	174	23	.	.	PUNCT
fcis-21102	175	1	similarly	similarly	ADV
fcis-21102	175	2	,	,	PUNCT
fcis-21102	175	3	when	when	SCONJ
fcis-21102	175	4	defining	define	VERB
fcis-21102	175	5	the	the	DET
fcis-21102	175	6	bagging	bagging	NOUN
fcis-21102	175	7	model	model	NOUN
fcis-21102	175	8	,	,	PUNCT
fcis-21102	175	9	n_jobs=-1	n_jobs=-1	PROPN
fcis-21102	175	10	is	be	AUX
fcis-21102	175	11	also	also	ADV
fcis-21102	175	12	used	use	VERB
fcis-21102	175	13	to	to	PART
fcis-21102	175	14	implement	implement	VERB
fcis-21102	175	15	parallel	parallel	ADJ
fcis-21102	175	16	processing	processing	NOUN
fcis-21102	175	17	during	during	ADP
fcis-21102	175	18	model	model	NOUN
fcis-21102	175	19	training	training	NOUN
fcis-21102	175	20	.	.	PUNCT
fcis-21102	176	1	in	in	ADP
fcis-21102	176	2	addition	addition	NOUN
fcis-21102	176	3	,	,	PUNCT
fcis-21102	176	4	by	by	ADP
fcis-21102	176	5	using	use	VERB
fcis-21102	176	6	the	the	DET
fcis-21102	176	7	multiprocessing	multiprocesse	VERB
fcis-21102	176	8	module	module	NOUN
fcis-21102	176	9	,	,	PUNCT
fcis-21102	176	10	the	the	DET
fcis-21102	176	11	number	number	NOUN
fcis-21102	176	12	of	of	ADP
fcis-21102	176	13	parallel	parallel	ADJ
fcis-21102	176	14	jobs	job	NOUN
fcis-21102	176	15	is	be	AUX
fcis-21102	176	16	set	set	VERB
fcis-21102	176	17	to	to	ADP
fcis-21102	176	18	the	the	DET
fcis-21102	176	19	number	number	NOUN
fcis-21102	176	20	of	of	ADP
fcis-21102	176	21	available	available	ADJ
fcis-21102	176	22	cpu	cpu	NOUN
fcis-21102	176	23	cores	core	NOUN
fcis-21102	176	24	,	,	PUNCT
fcis-21102	176	25	ensuring	ensure	VERB
fcis-21102	176	26	that	that	SCONJ
fcis-21102	176	27	the	the	DET
fcis-21102	176	28	optimization	optimization	NOUN
fcis-21102	176	29	process	process	NOUN
fcis-21102	176	30	can	can	AUX
fcis-21102	176	31	be	be	AUX
fcis-21102	176	32	carried	carry	VERB
fcis-21102	176	33	out	out	ADP
fcis-21102	176	34	efficiently	efficiently	ADV
fcis-21102	176	35	and	and	CCONJ
fcis-21102	176	36	quickly	quickly	ADV
fcis-21102	176	37	using	use	VERB
fcis-21102	176	38	available	available	ADJ
fcis-21102	176	39	computing	compute	VERB
fcis-21102	176	40	resources	resource	NOUN
fcis-21102	176	41	.	.	PUNCT
fcis-21102	177	1	parallel	parallel	ADJ
fcis-21102	177	2	processing	processing	NOUN
fcis-21102	177	3	is	be	AUX
fcis-21102	177	4	also	also	ADV
fcis-21102	177	5	used	use	VERB
fcis-21102	177	6	in	in	ADP
fcis-21102	177	7	bayesian	bayesian	NOUN
fcis-21102	177	8	optimization	optimization	NOUN
fcis-21102	177	9	.	.	PUNCT
fcis-21102	178	1	the	the	DET
fcis-21102	178	2	bayesianoptimization	bayesianoptimization	NOUN
fcis-21102	178	3	function	function	NOUN
fcis-21102	178	4	accepts	accept	VERB
fcis-21102	178	5	an	an	DET
fcis-21102	178	6	optional	optional	ADJ
fcis-21102	178	7	verbose	verbose	NOUN
fcis-21102	178	8	parameter	parameter	NOUN
fcis-21102	178	9	,	,	PUNCT
fcis-21102	178	10	with	with	ADP
fcis-21102	178	11	a	a	DET
fcis-21102	178	12	default	default	NOUN
fcis-21102	178	13	value	value	NOUN
fcis-21102	178	14	of	of	ADP
fcis-21102	178	15	1	1	NUM
fcis-21102	178	16	.	.	PUNCT
fcis-21102	178	17	setting	set	VERB
fcis-21102	178	18	this	this	DET
fcis-21102	178	19	parameter	parameter	NOUN
fcis-21102	178	20	to	to	ADP
fcis-21102	178	21	0	0	NUM
fcis-21102	178	22	enables	enable	VERB
fcis-21102	178	23	parallel	parallel	ADJ
fcis-21102	178	24	processing	processing	NOUN
fcis-21102	178	25	.	.	PUNCT
fcis-21102	179	1	by	by	ADP
fcis-21102	179	2	default	default	NOUN
fcis-21102	179	3	,	,	PUNCT
fcis-21102	179	4	bayesianoptimization	bayesianoptimization	NOUN
fcis-21102	179	5	runs	run	NOUN
fcis-21102	179	6	in	in	ADP
fcis-21102	179	7	single	single	ADJ
fcis-21102	179	8	-	-	PUNCT
fcis-21102	179	9	threaded	thread	VERB
fcis-21102	179	10	mode	mode	NOUN
fcis-21102	179	11	,	,	PUNCT
fcis-21102	179	12	but	but	CCONJ
fcis-21102	179	13	it	it	PRON
fcis-21102	179	14	can	can	AUX
fcis-21102	179	15	be	be	AUX
fcis-21102	179	16	easily	easily	ADV
fcis-21102	179	17	parallelized	parallelize	VERB
fcis-21102	179	18	by	by	ADP
fcis-21102	179	19	setting	set	VERB
fcis-21102	179	20	the	the	DET
fcis-21102	179	21	n_jobs	n_jobs	NOUN
fcis-21102	179	22	parameter	parameter	NOUN
fcis-21102	179	23	to	to	ADP
fcis-21102	179	24	the	the	DET
fcis-21102	179	25	desired	desire	VERB
fcis-21102	179	26	number	number	NOUN
fcis-21102	179	27	of	of	ADP
fcis-21102	179	28	parallel	parallel	ADJ
fcis-21102	179	29	jobs	job	NOUN
fcis-21102	179	30	.	.	PUNCT
fcis-21102	180	1	through	through	ADP
fcis-21102	180	2	the	the	DET
fcis-21102	180	3	above	above	ADJ
fcis-21102	180	4	method	method	NOUN
fcis-21102	180	5	,	,	PUNCT
fcis-21102	180	6	this	this	DET
fcis-21102	180	7	paper	paper	NOUN
fcis-21102	180	8	not	not	PART
fcis-21102	180	9	only	only	ADV
fcis-21102	180	10	achieves	achieve	VERB
fcis-21102	180	11	parallel	parallel	ADJ
fcis-21102	180	12	processing	processing	NOUN
fcis-21102	180	13	in	in	ADP
fcis-21102	180	14	the	the	DET
fcis-21102	180	15	training	training	NOUN
fcis-21102	180	16	phase	phase	NOUN
fcis-21102	180	17	of	of	ADP
fcis-21102	180	18	the	the	DET
fcis-21102	180	19	model	model	NOUN
fcis-21102	180	20	,	,	PUNCT
fcis-21102	180	21	but	but	CCONJ
fcis-21102	180	22	also	also	ADV
fcis-21102	180	23	effectively	effectively	ADV
fcis-21102	180	24	utilizes	utilize	VERB
fcis-21102	180	25	parallel	parallel	ADJ
fcis-21102	180	26	computing	compute	VERB
fcis-21102	180	27	resources	resource	NOUN
fcis-21102	180	28	in	in	ADP
fcis-21102	180	29	the	the	DET
fcis-21102	180	30	hyperparameter	hyperparameter	NOUN
fcis-21102	180	31	optimization	optimization	NOUN
fcis-21102	180	32	phase	phase	NOUN
fcis-21102	180	33	,	,	PUNCT
fcis-21102	180	34	greatly	greatly	ADV
fcis-21102	180	35	improving	improve	VERB
fcis-21102	180	36	the	the	DET
fcis-21102	180	37	102	102	NUM
fcis-21102	180	38	efficiency	efficiency	NOUN
fcis-21102	180	39	of	of	ADP
fcis-21102	180	40	model	model	NOUN
fcis-21102	180	41	training	training	NOUN
fcis-21102	180	42	and	and	CCONJ
fcis-21102	180	43	parameter	parameter	NOUN
fcis-21102	180	44	optimization	optimization	NOUN
fcis-21102	180	45	.	.	PUNCT
fcis-21102	181	1	this	this	DET
fcis-21102	181	2	parallel	parallel	ADJ
fcis-21102	181	3	processing	processing	NOUN
fcis-21102	181	4	strategy	strategy	NOUN
fcis-21102	181	5	ensures	ensure	VERB
fcis-21102	181	6	that	that	SCONJ
fcis-21102	181	7	when	when	SCONJ
fcis-21102	181	8	processing	process	VERB
fcis-21102	181	9	large	large	ADJ
fcis-21102	181	10	-	-	PUNCT
fcis-21102	181	11	scale	scale	NOUN
fcis-21102	181	12	data	data	NOUN
fcis-21102	181	13	sets	set	NOUN
fcis-21102	181	14	,	,	PUNCT
fcis-21102	181	15	the	the	DET
fcis-21102	181	16	computational	computational	ADJ
fcis-21102	181	17	load	load	NOUN
fcis-21102	181	18	of	of	ADP
fcis-21102	181	19	the	the	DET
fcis-21102	181	20	model	model	NOUN
fcis-21102	181	21	building	building	NOUN
fcis-21102	181	22	process	process	NOUN
fcis-21102	181	23	can	can	AUX
fcis-21102	181	24	be	be	AUX
fcis-21102	181	25	distributed	distribute	VERB
fcis-21102	181	26	to	to	ADP
fcis-21102	181	27	multiple	multiple	ADJ
fcis-21102	181	28	processors	processor	NOUN
fcis-21102	181	29	,	,	PUNCT
fcis-21102	181	30	thereby	thereby	ADV
fcis-21102	181	31	shortening	shorten	VERB
fcis-21102	181	32	the	the	DET
fcis-21102	181	33	overall	overall	ADJ
fcis-21102	181	34	time	time	NOUN
fcis-21102	181	35	of	of	ADP
fcis-21102	181	36	model	model	NOUN
fcis-21102	181	37	training	training	NOUN
fcis-21102	181	38	and	and	CCONJ
fcis-21102	181	39	optimization	optimization	NOUN
fcis-21102	181	40	and	and	CCONJ
fcis-21102	181	41	improving	improve	VERB
fcis-21102	181	42	the	the	DET
fcis-21102	181	43	efficiency	efficiency	NOUN
fcis-21102	181	44	of	of	ADP
fcis-21102	181	45	model	model	NOUN
fcis-21102	181	46	development	development	NOUN
fcis-21102	181	47	.	.	PUNCT
fcis-21102	182	1	3.2.5	3.2.5	X
fcis-21102	182	2	.	.	X
fcis-21102	182	3	combination	combination	NOUN
fcis-21102	182	4	of	of	ADP
fcis-21102	182	5	bagging	bagging	NOUN
fcis-21102	182	6	and	and	CCONJ
fcis-21102	182	7	xgboost	xgboost	ADV
fcis-21102	182	8	in	in	ADP
fcis-21102	182	9	the	the	DET
fcis-21102	182	10	research	research	NOUN
fcis-21102	182	11	of	of	ADP
fcis-21102	182	12	this	this	DET
fcis-21102	182	13	article	article	NOUN
fcis-21102	182	14	,	,	PUNCT
fcis-21102	182	15	bagging	bagging	NOUN
fcis-21102	182	16	and	and	CCONJ
fcis-21102	182	17	xgboost	xgboost	NOUN
fcis-21102	182	18	are	be	AUX
fcis-21102	182	19	effectively	effectively	ADV
fcis-21102	182	20	combined	combine	VERB
fcis-21102	182	21	by	by	ADP
fcis-21102	182	22	using	use	VERB
fcis-21102	182	23	the	the	DET
fcis-21102	182	24	baggingclassifier	baggingclassifier	ADJ
fcis-21102	182	25	class	class	NOUN
fcis-21102	182	26	of	of	ADP
fcis-21102	182	27	the	the	DET
fcis-21102	182	28	scikit	scikit	NOUN
fcis-21102	182	29	-	-	PUNCT
fcis-21102	182	30	learn	learn	NOUN
fcis-21102	182	31	library	library	NOUN
fcis-21102	182	32	.	.	PUNCT
fcis-21102	183	1	baggingclassifier	baggingclassifier	PROPN
fcis-21102	183	2	is	be	AUX
fcis-21102	183	3	a	a	DET
fcis-21102	183	4	meta	meta	ADJ
fcis-21102	183	5	-	-	PUNCT
fcis-21102	183	6	estimator	estimator	NOUN
fcis-21102	183	7	that	that	PRON
fcis-21102	183	8	separately	separately	ADV
fcis-21102	183	9	fits	fit	VERB
fcis-21102	183	10	base	base	NOUN
fcis-21102	183	11	classifiers	classifier	NOUN
fcis-21102	183	12	on	on	ADP
fcis-21102	183	13	random	random	ADJ
fcis-21102	183	14	subsets	subset	NOUN
fcis-21102	183	15	of	of	ADP
fcis-21102	183	16	the	the	DET
fcis-21102	183	17	original	original	ADJ
fcis-21102	183	18	data	datum	NOUN
fcis-21102	183	19	set	set	VERB
fcis-21102	183	20	and	and	CCONJ
fcis-21102	183	21	aggregates	aggregate	VERB
fcis-21102	183	22	their	their	PRON
fcis-21102	183	23	respective	respective	ADJ
fcis-21102	183	24	prediction	prediction	NOUN
fcis-21102	183	25	results	result	NOUN
fcis-21102	183	26	.	.	PUNCT
fcis-21102	184	1	in	in	ADP
fcis-21102	184	2	this	this	DET
fcis-21102	184	3	scenario	scenario	NOUN
fcis-21102	184	4	,	,	PUNCT
fcis-21102	184	5	the	the	DET
fcis-21102	184	6	basic	basic	ADJ
fcis-21102	184	7	classifier	classifier	NOUN
fcis-21102	184	8	is	be	AUX
fcis-21102	184	9	xgbclassifier	xgbclassifi	ADJ
fcis-21102	184	10	,	,	PUNCT
fcis-21102	184	11	which	which	PRON
fcis-21102	184	12	is	be	AUX
fcis-21102	184	13	an	an	DET
fcis-21102	184	14	implementation	implementation	NOUN
fcis-21102	184	15	of	of	ADP
fcis-21102	184	16	the	the	DET
fcis-21102	184	17	xgboost	xgboost	PROPN
fcis-21102	184	18	algorithm	algorithm	PROPN
fcis-21102	184	19	.	.	PUNCT
fcis-21102	185	1	baggingclassifier	baggingclassifier	PROPN
fcis-21102	185	2	requires	require	VERB
fcis-21102	185	3	an	an	DET
fcis-21102	185	4	estimator	estimator	NOUN
fcis-21102	185	5	as	as	ADP
fcis-21102	185	6	a	a	DET
fcis-21102	185	7	parameter	parameter	NOUN
fcis-21102	185	8	.	.	PUNCT
fcis-21102	186	1	in	in	ADP
fcis-21102	186	2	this	this	DET
fcis-21102	186	3	article	article	NOUN
fcis-21102	186	4	,	,	PUNCT
fcis-21102	186	5	the	the	DET
fcis-21102	186	6	parameter	parameter	NOUN
fcis-21102	186	7	is	be	AUX
fcis-21102	186	8	the	the	DET
fcis-21102	186	9	xgbclassifier	xgbclassifi	ADJ
fcis-21102	186	10	that	that	PRON
fcis-21102	186	11	obtains	obtain	VERB
fcis-21102	186	12	the	the	DET
fcis-21102	186	13	optimal	optimal	ADJ
fcis-21102	186	14	hyperparameters	hyperparameter	NOUN
fcis-21102	186	15	through	through	ADP
fcis-21102	186	16	bayesian	bayesian	NOUN
fcis-21102	186	17	optimization	optimization	NOUN
fcis-21102	186	18	.	.	PUNCT
fcis-21102	187	1	the	the	DET
fcis-21102	187	2	n_estimators	n_estimator	NOUN
fcis-21102	187	3	parameter	parameter	NOUN
fcis-21102	187	4	is	be	AUX
fcis-21102	187	5	used	use	VERB
fcis-21102	187	6	to	to	PART
fcis-21102	187	7	specify	specify	VERB
fcis-21102	187	8	the	the	DET
fcis-21102	187	9	number	number	NOUN
fcis-21102	187	10	of	of	ADP
fcis-21102	187	11	base	base	NOUN
fcis-21102	187	12	classifiers	classifier	NOUN
fcis-21102	187	13	used	use	VERB
fcis-21102	187	14	,	,	PUNCT
fcis-21102	187	15	while	while	SCONJ
fcis-21102	187	16	the	the	DET
fcis-21102	187	17	n_jobs	n_jobs	NOUN
fcis-21102	187	18	parameter	parameter	NOUN
fcis-21102	187	19	allows	allow	VERB
fcis-21102	187	20	for	for	ADP
fcis-21102	187	21	parallel	parallel	ADJ
fcis-21102	187	22	processing	processing	NOUN
fcis-21102	187	23	.	.	PUNCT
fcis-21102	188	1	therefore	therefore	ADV
fcis-21102	188	2	,	,	PUNCT
fcis-21102	188	3	by	by	ADP
fcis-21102	188	4	using	use	VERB
fcis-21102	188	5	baggingclassifier	baggingclassifier	NOUN
fcis-21102	188	6	to	to	PART
fcis-21102	188	7	fit	fit	VERB
fcis-21102	188	8	a	a	DET
fcis-21102	188	9	series	series	NOUN
fcis-21102	188	10	of	of	ADP
fcis-21102	188	11	xgbclassifier	xgbclassifi	ADJ
fcis-21102	188	12	models	model	NOUN
fcis-21102	188	13	with	with	ADP
fcis-21102	188	14	optimal	optimal	ADJ
fcis-21102	188	15	hyperparameters	hyperparameter	NOUN
fcis-21102	188	16	and	and	CCONJ
fcis-21102	188	17	using	use	VERB
fcis-21102	188	18	parallel	parallel	ADJ
fcis-21102	188	19	training	training	NOUN
fcis-21102	188	20	,	,	PUNCT
fcis-21102	188	21	this	this	DET
fcis-21102	188	22	code	code	NOUN
fcis-21102	188	23	realizes	realize	VERB
fcis-21102	188	24	the	the	DET
fcis-21102	188	25	combination	combination	NOUN
fcis-21102	188	26	of	of	ADP
fcis-21102	188	27	bagging	bagging	NOUN
fcis-21102	188	28	and	and	CCONJ
fcis-21102	188	29	xgboost	xgboost	PRON
fcis-21102	188	30	,	,	PUNCT
fcis-21102	188	31	thus	thus	ADV
fcis-21102	188	32	making	make	VERB
fcis-21102	188	33	full	full	ADJ
fcis-21102	188	34	use	use	NOUN
fcis-21102	188	35	of	of	ADP
fcis-21102	188	36	available	available	ADJ
fcis-21102	188	37	computing	compute	VERB
fcis-21102	188	38	resources	resource	NOUN
fcis-21102	188	39	.	.	PUNCT
fcis-21102	189	1	this	this	DET
fcis-21102	189	2	combination	combination	NOUN
fcis-21102	189	3	not	not	PART
fcis-21102	189	4	only	only	ADV
fcis-21102	189	5	improves	improve	VERB
fcis-21102	189	6	the	the	DET
fcis-21102	189	7	robustness	robustness	NOUN
fcis-21102	189	8	of	of	ADP
fcis-21102	189	9	the	the	DET
fcis-21102	189	10	model	model	NOUN
fcis-21102	189	11	,	,	PUNCT
fcis-21102	189	12	but	but	CCONJ
fcis-21102	189	13	also	also	ADV
fcis-21102	189	14	helps	help	VERB
fcis-21102	189	15	reduce	reduce	VERB
fcis-21102	189	16	the	the	DET
fcis-21102	189	17	possible	possible	ADJ
fcis-21102	189	18	overfitting	overfitte	VERB
fcis-21102	189	19	risk	risk	NOUN
fcis-21102	189	20	of	of	ADP
fcis-21102	189	21	the	the	DET
fcis-21102	189	22	xgboost	xgboost	PROPN
fcis-21102	189	23	model	model	NOUN
fcis-21102	189	24	by	by	ADP
fcis-21102	189	25	introducing	introduce	VERB
fcis-21102	189	26	bagging	bagging	NOUN
fcis-21102	189	27	's	's	PART
fcis-21102	189	28	random	random	ADJ
fcis-21102	189	29	sampling	sampling	NOUN
fcis-21102	189	30	strategy	strategy	NOUN
fcis-21102	189	31	,	,	PUNCT
fcis-21102	189	32	thereby	thereby	ADV
fcis-21102	189	33	improving	improve	VERB
fcis-21102	189	34	the	the	DET
fcis-21102	189	35	model	model	NOUN
fcis-21102	189	36	's	's	PART
fcis-21102	189	37	generalization	generalization	NOUN
fcis-21102	189	38	ability	ability	NOUN
fcis-21102	189	39	on	on	ADP
fcis-21102	189	40	complex	complex	ADJ
fcis-21102	189	41	data	datum	NOUN
fcis-21102	189	42	sets	set	NOUN
fcis-21102	189	43	.	.	PUNCT
fcis-21102	190	1	in	in	ADP
fcis-21102	190	2	addition	addition	NOUN
fcis-21102	190	3	,	,	PUNCT
fcis-21102	190	4	through	through	ADP
fcis-21102	190	5	the	the	DET
fcis-21102	190	6	application	application	NOUN
fcis-21102	190	7	of	of	ADP
fcis-21102	190	8	parallel	parallel	ADJ
fcis-21102	190	9	processing	processing	NOUN
fcis-21102	190	10	,	,	PUNCT
fcis-21102	190	11	the	the	DET
fcis-21102	190	12	efficiency	efficiency	NOUN
fcis-21102	190	13	of	of	ADP
fcis-21102	190	14	model	model	NOUN
fcis-21102	190	15	training	training	NOUN
fcis-21102	190	16	is	be	AUX
fcis-21102	190	17	significantly	significantly	ADV
fcis-21102	190	18	improved	improve	VERB
fcis-21102	190	19	,	,	PUNCT
fcis-21102	190	20	making	make	VERB
fcis-21102	190	21	it	it	PRON
fcis-21102	190	22	possible	possible	ADJ
fcis-21102	190	23	to	to	PART
fcis-21102	190	24	quickly	quickly	ADV
fcis-21102	190	25	process	process	VERB
fcis-21102	190	26	large	large	ADJ
fcis-21102	190	27	-	-	PUNCT
fcis-21102	190	28	scale	scale	NOUN
fcis-21102	190	29	data	data	NOUN
fcis-21102	190	30	sets	set	NOUN
fcis-21102	190	31	.	.	PUNCT
fcis-21102	191	1	3.3	3.3	NUM
fcis-21102	191	2	.	.	PUNCT
fcis-21102	192	1	model	model	NOUN
fcis-21102	192	2	performance	performance	NOUN
fcis-21102	192	3	evaluation	evaluation	NOUN
fcis-21102	192	4	3.3.1	3.3.1	PROPN
fcis-21102	192	5	.	.	PUNCT
fcis-21102	192	6	model	model	NOUN
fcis-21102	192	7	evaluation	evaluation	NOUN
fcis-21102	192	8	index	index	NOUN
fcis-21102	192	9	when	when	SCONJ
fcis-21102	192	10	evaluating	evaluate	VERB
fcis-21102	192	11	the	the	DET
fcis-21102	192	12	performance	performance	NOUN
fcis-21102	192	13	of	of	ADP
fcis-21102	192	14	a	a	DET
fcis-21102	192	15	machine	machine	NOUN
fcis-21102	192	16	learning	learn	VERB
fcis-21102	192	17	model	model	NOUN
fcis-21102	192	18	,	,	PUNCT
fcis-21102	192	19	it	it	PRON
fcis-21102	192	20	is	be	AUX
fcis-21102	192	21	crucial	crucial	ADJ
fcis-21102	192	22	to	to	PART
fcis-21102	192	23	choose	choose	VERB
fcis-21102	192	24	appropriate	appropriate	ADJ
fcis-21102	192	25	evaluation	evaluation	NOUN
fcis-21102	192	26	metrics	metric	NOUN
fcis-21102	192	27	.	.	PUNCT
fcis-21102	193	1	these	these	DET
fcis-21102	193	2	metrics	metric	NOUN
fcis-21102	193	3	not	not	PART
fcis-21102	193	4	only	only	ADV
fcis-21102	193	5	reflect	reflect	VERB
fcis-21102	193	6	the	the	DET
fcis-21102	193	7	performance	performance	NOUN
fcis-21102	193	8	of	of	ADP
fcis-21102	193	9	the	the	DET
fcis-21102	193	10	model	model	NOUN
fcis-21102	193	11	on	on	ADP
fcis-21102	193	12	a	a	DET
fcis-21102	193	13	specific	specific	ADJ
fcis-21102	193	14	task	task	NOUN
fcis-21102	193	15	,	,	PUNCT
fcis-21102	193	16	but	but	CCONJ
fcis-21102	193	17	also	also	ADV
fcis-21102	193	18	help	help	VERB
fcis-21102	193	19	us	we	PRON
fcis-21102	193	20	understand	understand	VERB
fcis-21102	193	21	the	the	DET
fcis-21102	193	22	strengths	strength	NOUN
fcis-21102	193	23	and	and	CCONJ
fcis-21102	193	24	weaknesses	weakness	NOUN
fcis-21102	193	25	of	of	ADP
fcis-21102	193	26	the	the	DET
fcis-21102	193	27	model	model	NOUN
fcis-21102	193	28	.	.	PUNCT
fcis-21102	194	1	for	for	ADP
fcis-21102	194	2	classification	classification	NOUN
fcis-21102	194	3	problems	problem	NOUN
fcis-21102	194	4	,	,	PUNCT
fcis-21102	194	5	especially	especially	ADV
fcis-21102	194	6	when	when	SCONJ
fcis-21102	194	7	dealing	deal	VERB
fcis-21102	194	8	with	with	ADP
fcis-21102	194	9	imbalanced	imbalanced	ADJ
fcis-21102	194	10	data	data	NOUN
fcis-21102	194	11	sets	set	NOUN
fcis-21102	194	12	or	or	CCONJ
fcis-21102	194	13	performing	perform	VERB
fcis-21102	194	14	refined	refined	ADJ
fcis-21102	194	15	class	class	NOUN
fcis-21102	194	16	distinctions	distinction	NOUN
fcis-21102	194	17	,	,	PUNCT
fcis-21102	194	18	a	a	DET
fcis-21102	194	19	single	single	ADJ
fcis-21102	194	20	accuracy	accuracy	NOUN
fcis-21102	194	21	metric	metric	NOUN
fcis-21102	194	22	often	often	ADV
fcis-21102	194	23	can	can	AUX
fcis-21102	194	24	not	not	PART
fcis-21102	194	25	comprehensively	comprehensively	ADV
fcis-21102	194	26	assess	assess	VERB
fcis-21102	194	27	model	model	NOUN
fcis-21102	194	28	performance	performance	NOUN
fcis-21102	194	29	.	.	PUNCT
fcis-21102	195	1	therefore	therefore	ADV
fcis-21102	195	2	,	,	PUNCT
fcis-21102	195	3	this	this	DET
fcis-21102	195	4	section	section	NOUN
fcis-21102	195	5	will	will	AUX
fcis-21102	195	6	introduce	introduce	VERB
fcis-21102	195	7	several	several	ADJ
fcis-21102	195	8	key	key	ADJ
fcis-21102	195	9	evaluation	evaluation	NOUN
fcis-21102	195	10	indicators	indicator	NOUN
fcis-21102	195	11	in	in	ADP
fcis-21102	195	12	detail	detail	NOUN
fcis-21102	195	13	,	,	PUNCT
fcis-21102	195	14	including	include	VERB
fcis-21102	195	15	f1	f1	NOUN
fcis-21102	195	16	score	score	NOUN
fcis-21102	195	17	,	,	PUNCT
fcis-21102	195	18	precision	precision	NOUN
fcis-21102	195	19	rate	rate	NOUN
fcis-21102	195	20	,	,	PUNCT
fcis-21102	195	21	recall	recall	NOUN
fcis-21102	195	22	rate	rate	NOUN
fcis-21102	195	23	,	,	PUNCT
fcis-21102	195	24	accuracy	accuracy	NOUN
fcis-21102	195	25	rate	rate	NOUN
fcis-21102	195	26	and	and	CCONJ
fcis-21102	195	27	roc	roc	PROPN
fcis-21102	195	28	auc	auc	NOUN
fcis-21102	195	29	.	.	PUNCT
fcis-21102	196	1	these	these	DET
fcis-21102	196	2	indicators	indicator	NOUN
fcis-21102	196	3	measure	measure	VERB
fcis-21102	196	4	the	the	DET
fcis-21102	196	5	performance	performance	NOUN
fcis-21102	196	6	of	of	ADP
fcis-21102	196	7	the	the	DET
fcis-21102	196	8	model	model	NOUN
fcis-21102	196	9	from	from	ADP
fcis-21102	196	10	different	different	ADJ
fcis-21102	196	11	perspectives	perspective	NOUN
fcis-21102	196	12	and	and	CCONJ
fcis-21102	196	13	help	help	VERB
fcis-21102	196	14	us	we	PRON
fcis-21102	196	15	comprehensively	comprehensively	ADV
fcis-21102	196	16	understand	understand	VERB
fcis-21102	196	17	the	the	DET
fcis-21102	196	18	model	model	NOUN
fcis-21102	196	19	's	's	PART
fcis-21102	196	20	performance	performance	NOUN
fcis-21102	196	21	in	in	ADP
fcis-21102	196	22	prediction	prediction	NOUN
fcis-21102	196	23	tasks	task	NOUN
fcis-21102	196	24	.	.	PUNCT
fcis-21102	197	1	by	by	ADP
fcis-21102	197	2	comprehensively	comprehensively	ADV
fcis-21102	197	3	considering	consider	VERB
fcis-21102	197	4	these	these	DET
fcis-21102	197	5	indicators	indicator	NOUN
fcis-21102	197	6	,	,	PUNCT
fcis-21102	197	7	this	this	DET
fcis-21102	197	8	article	article	NOUN
fcis-21102	197	9	can	can	AUX
fcis-21102	197	10	more	more	ADV
fcis-21102	197	11	accurately	accurately	ADV
fcis-21102	197	12	evaluate	evaluate	VERB
fcis-21102	197	13	and	and	CCONJ
fcis-21102	197	14	optimize	optimize	VERB
fcis-21102	197	15	the	the	DET
fcis-21102	197	16	classification	classification	NOUN
fcis-21102	197	17	model	model	NOUN
fcis-21102	197	18	to	to	PART
fcis-21102	197	19	achieve	achieve	VERB
fcis-21102	197	20	better	well	ADJ
fcis-21102	197	21	prediction	prediction	NOUN
fcis-21102	197	22	results	result	NOUN
fcis-21102	197	23	.	.	PUNCT
fcis-21102	198	1	for	for	ADP
fcis-21102	198	2	a	a	DET
fcis-21102	198	3	two	two	NUM
fcis-21102	198	4	-	-	PUNCT
fcis-21102	198	5	class	class	NOUN
fcis-21102	198	6	classification	classification	NOUN
fcis-21102	198	7	problem	problem	NOUN
fcis-21102	198	8	,	,	PUNCT
fcis-21102	198	9	the	the	DET
fcis-21102	198	10	data	datum	NOUN
fcis-21102	198	11	set	set	VERB
fcis-21102	198	12	is	be	AUX
fcis-21102	198	13	divided	divide	VERB
fcis-21102	198	14	into	into	ADP
fcis-21102	198	15	two	two	NUM
fcis-21102	198	16	categories	category	NOUN
fcis-21102	198	17	:	:	PUNCT
fcis-21102	198	18	true	true	ADJ
fcis-21102	198	19	and	and	CCONJ
fcis-21102	198	20	false	false	ADJ
fcis-21102	198	21	.	.	PUNCT
fcis-21102	199	1	therefore	therefore	ADV
fcis-21102	199	2	,	,	PUNCT
fcis-21102	199	3	there	there	PRON
fcis-21102	199	4	are	be	VERB
fcis-21102	199	5	a	a	DET
fcis-21102	199	6	total	total	NOUN
fcis-21102	199	7	of	of	ADP
fcis-21102	199	8	the	the	DET
fcis-21102	199	9	following	follow	VERB
fcis-21102	199	10	four	four	NUM
fcis-21102	199	11	classification	classification	NOUN
fcis-21102	199	12	results	result	NOUN
fcis-21102	199	13	in	in	ADP
fcis-21102	199	14	the	the	DET
fcis-21102	199	15	two	two	NUM
fcis-21102	199	16	-	-	PUNCT
fcis-21102	199	17	class	class	NOUN
fcis-21102	199	18	classification	classification	NOUN
fcis-21102	199	19	problem	problem	NOUN
fcis-21102	199	20	:	:	PUNCT
fcis-21102	199	21	fn	fn	NOUN
fcis-21102	199	22	:	:	PUNCT
fcis-21102	199	23	false	false	ADJ
fcis-21102	199	24	negative	negative	ADJ
fcis-21102	199	25	,	,	PUNCT
fcis-21102	199	26	classified	classify	VERB
fcis-21102	199	27	as	as	ADP
fcis-21102	199	28	false	false	ADJ
fcis-21102	199	29	,	,	PUNCT
fcis-21102	199	30	actually	actually	ADV
fcis-21102	199	31	true	true	ADJ
fcis-21102	199	32	fp	fp	X
fcis-21102	199	33	:	:	PUNCT
fcis-21102	199	34	false	false	ADJ
fcis-21102	199	35	positive	positive	ADJ
fcis-21102	199	36	,	,	PUNCT
fcis-21102	199	37	classified	classify	VERB
fcis-21102	199	38	as	as	ADP
fcis-21102	199	39	true	true	ADJ
fcis-21102	199	40	,	,	PUNCT
fcis-21102	199	41	actually	actually	ADV
fcis-21102	199	42	false	false	ADJ
fcis-21102	199	43	tn	tn	NOUN
fcis-21102	199	44	:	:	PUNCT
fcis-21102	199	45	true	true	ADJ
fcis-21102	199	46	negative	negative	ADJ
fcis-21102	199	47	,	,	PUNCT
fcis-21102	199	48	classified	classify	VERB
fcis-21102	199	49	as	as	ADP
fcis-21102	199	50	false	false	ADJ
fcis-21102	199	51	,	,	PUNCT
fcis-21102	199	52	actually	actually	ADV
fcis-21102	199	53	false	false	ADJ
fcis-21102	199	54	tp	tp	NOUN
fcis-21102	199	55	:	:	PUNCT
fcis-21102	199	56	true	true	ADJ
fcis-21102	199	57	positive	positive	ADJ
fcis-21102	199	58	,	,	PUNCT
fcis-21102	199	59	classified	classify	VERB
fcis-21102	199	60	as	as	ADP
fcis-21102	199	61	true	true	ADJ
fcis-21102	199	62	,	,	PUNCT
fcis-21102	199	63	actually	actually	ADV
fcis-21102	199	64	true	true	ADJ
fcis-21102	199	65	f1	f1	NOUN
fcis-21102	199	66	score	score	NOUN
fcis-21102	199	67	is	be	AUX
fcis-21102	199	68	the	the	DET
fcis-21102	199	69	weighted	weighted	ADJ
fcis-21102	199	70	average	average	NOUN
fcis-21102	199	71	of	of	ADP
fcis-21102	199	72	precision	precision	NOUN
fcis-21102	199	73	and	and	CCONJ
fcis-21102	199	74	recall	recall	NOUN
fcis-21102	199	75	,	,	PUNCT
fcis-21102	199	76	with	with	ADP
fcis-21102	199	77	the	the	DET
fcis-21102	199	78	best	good	ADJ
fcis-21102	199	79	value	value	NOUN
fcis-21102	199	80	being	be	AUX
fcis-21102	199	81	1	1	NUM
fcis-21102	199	82	and	and	CCONJ
fcis-21102	199	83	the	the	DET
fcis-21102	199	84	worst	bad	ADJ
fcis-21102	199	85	value	value	NOUN
fcis-21102	199	86	being	be	AUX
fcis-21102	199	87	0	0	NUM
fcis-21102	199	88	.	.	PUNCT
fcis-21102	200	1	it	it	PRON
fcis-21102	200	2	achieves	achieve	VERB
fcis-21102	200	3	a	a	DET
fcis-21102	200	4	balance	balance	NOUN
fcis-21102	200	5	between	between	ADP
fcis-21102	200	6	precision	precision	NOUN
fcis-21102	200	7	and	and	CCONJ
fcis-21102	200	8	recall	recall	NOUN
fcis-21102	200	9	by	by	ADP
fcis-21102	200	10	calculating	calculate	VERB
fcis-21102	200	11	the	the	DET
fcis-21102	200	12	harmonic	harmonic	ADJ
fcis-21102	200	13	mean	mean	NOUN
fcis-21102	200	14	of	of	ADP
fcis-21102	200	15	the	the	DET
fcis-21102	200	16	two	two	NUM
fcis-21102	200	17	.	.	PUNCT
fcis-21102	201	1	mathematically	mathematically	ADV
fcis-21102	201	2	,	,	PUNCT
fcis-21102	201	3	the	the	DET
fcis-21102	201	4	f1	f1	NOUN
fcis-21102	201	5	score	score	NOUN
fcis-21102	201	6	can	can	AUX
fcis-21102	201	7	be	be	AUX
fcis-21102	201	8	expressed	express	VERB
fcis-21102	201	9	as	as	ADP
fcis-21102	201	10	:	:	PUNCT
fcis-21102	201	11	1	1	NUM
fcis-21102	201	12	score	score	NOUN
fcis-21102	201	13	2	2	NUM
fcis-21102	201	14	x	x	SYM
fcis-21102	201	15	precision	precision	NOUN
fcis-21102	201	16	x	x	X
fcis-21102	201	17	recall	recall	NOUN
fcis-21102	201	18	(	(	PUNCT
fcis-21102	201	19	1	1	NUM
fcis-21102	201	20	)	)	PUNCT
fcis-21102	201	21	precision	precision	NOUN
fcis-21102	201	22	is	be	AUX
fcis-21102	201	23	the	the	DET
fcis-21102	201	24	ratio	ratio	NOUN
fcis-21102	201	25	of	of	ADP
fcis-21102	201	26	true	true	ADJ
fcis-21102	201	27	examples	example	NOUN
fcis-21102	201	28	(	(	PUNCT
fcis-21102	201	29	i.e.	i.e.	X
fcis-21102	201	30	,	,	PUNCT
fcis-21102	201	31	correct	correct	ADJ
fcis-21102	201	32	positive	positive	ADJ
fcis-21102	201	33	predictions	prediction	NOUN
fcis-21102	201	34	)	)	PUNCT
fcis-21102	201	35	to	to	ADP
fcis-21102	201	36	the	the	DET
fcis-21102	201	37	total	total	ADJ
fcis-21102	201	38	number	number	NOUN
fcis-21102	201	39	of	of	ADP
fcis-21102	201	40	all	all	DET
fcis-21102	201	41	positive	positive	ADJ
fcis-21102	201	42	predictions	prediction	NOUN
fcis-21102	201	43	.	.	PUNCT
fcis-21102	202	1	it	it	PRON
fcis-21102	202	2	measures	measure	VERB
fcis-21102	202	3	the	the	DET
fcis-21102	202	4	accuracy	accuracy	NOUN
fcis-21102	202	5	of	of	ADP
fcis-21102	202	6	positive	positive	ADJ
fcis-21102	202	7	predictions	prediction	NOUN
fcis-21102	202	8	,	,	PUNCT
fcis-21102	202	9	with	with	ADP
fcis-21102	202	10	a	a	DET
fcis-21102	202	11	high	high	ADJ
fcis-21102	202	12	accuracy	accuracy	NOUN
fcis-21102	202	13	score	score	NOUN
fcis-21102	202	14	meaning	mean	VERB
fcis-21102	202	15	fewer	few	ADJ
fcis-21102	202	16	false	false	ADJ
fcis-21102	202	17	positive	positive	ADJ
fcis-21102	202	18	predictions	prediction	NOUN
fcis-21102	202	19	.	.	PUNCT
fcis-21102	203	1	mathematically	mathematically	ADV
fcis-21102	203	2	,	,	PUNCT
fcis-21102	203	3	the	the	DET
fcis-21102	203	4	accuracy	accuracy	NOUN
fcis-21102	203	5	can	can	AUX
fcis-21102	203	6	be	be	AUX
fcis-21102	203	7	expressed	express	VERB
fcis-21102	203	8	as	as	ADP
fcis-21102	203	9	:	:	PUNCT
fcis-21102	203	10	(	(	PUNCT
fcis-21102	203	11	2	2	X
fcis-21102	203	12	)	)	PUNCT
fcis-21102	203	13	recall	recall	NOUN
fcis-21102	203	14	is	be	AUX
fcis-21102	203	15	the	the	DET
fcis-21102	203	16	ratio	ratio	NOUN
fcis-21102	203	17	of	of	ADP
fcis-21102	203	18	true	true	ADJ
fcis-21102	203	19	examples	example	NOUN
fcis-21102	203	20	to	to	ADP
fcis-21102	203	21	the	the	DET
fcis-21102	203	22	total	total	ADJ
fcis-21102	203	23	number	number	NOUN
fcis-21102	203	24	of	of	ADP
fcis-21102	203	25	actual	actual	ADJ
fcis-21102	203	26	positive	positive	ADJ
fcis-21102	203	27	examples	example	NOUN
fcis-21102	203	28	.	.	PUNCT
fcis-21102	204	1	it	it	PRON
fcis-21102	204	2	measures	measure	VERB
fcis-21102	204	3	the	the	DET
fcis-21102	204	4	completeness	completeness	NOUN
fcis-21102	204	5	of	of	ADP
fcis-21102	204	6	positive	positive	ADJ
fcis-21102	204	7	predictions	prediction	NOUN
fcis-21102	204	8	,	,	PUNCT
fcis-21102	204	9	with	with	ADP
fcis-21102	204	10	a	a	DET
fcis-21102	204	11	high	high	ADJ
fcis-21102	204	12	recall	recall	NOUN
fcis-21102	204	13	score	score	NOUN
fcis-21102	204	14	meaning	mean	VERB
fcis-21102	204	15	that	that	SCONJ
fcis-21102	204	16	the	the	DET
fcis-21102	204	17	vast	vast	ADJ
fcis-21102	204	18	majority	majority	NOUN
fcis-21102	204	19	of	of	ADP
fcis-21102	204	20	actual	actual	ADJ
fcis-21102	204	21	positive	positive	ADJ
fcis-21102	204	22	examples	example	NOUN
fcis-21102	204	23	are	be	AUX
fcis-21102	204	24	captured	capture	VERB
fcis-21102	204	25	by	by	ADP
fcis-21102	204	26	positive	positive	ADJ
fcis-21102	204	27	predictions	prediction	NOUN
fcis-21102	204	28	.	.	PUNCT
fcis-21102	205	1	mathematically	mathematically	ADV
fcis-21102	205	2	,	,	PUNCT
fcis-21102	205	3	recall	recall	PROPN
fcis-21102	205	4	can	can	AUX
fcis-21102	205	5	be	be	AUX
fcis-21102	205	6	expressed	express	VERB
fcis-21102	205	7	as	as	ADP
fcis-21102	205	8	:	:	PUNCT
fcis-21102	205	9	(	(	PUNCT
fcis-21102	205	10	3	3	X
fcis-21102	205	11	)	)	PUNCT
fcis-21102	205	12	accuracy	accuracy	NOUN
fcis-21102	205	13	is	be	AUX
fcis-21102	205	14	the	the	DET
fcis-21102	205	15	proportion	proportion	NOUN
fcis-21102	205	16	of	of	ADP
fcis-21102	205	17	correctly	correctly	ADV
fcis-21102	205	18	predicted	predict	VERB
fcis-21102	205	19	instances	instance	NOUN
fcis-21102	205	20	(	(	PUNCT
fcis-21102	205	21	including	include	VERB
fcis-21102	205	22	true	true	ADJ
fcis-21102	205	23	examples	example	NOUN
fcis-21102	205	24	and	and	CCONJ
fcis-21102	205	25	true	true	ADJ
fcis-21102	205	26	counterexamples	counterexample	NOUN
fcis-21102	205	27	)	)	PUNCT
fcis-21102	205	28	to	to	ADP
fcis-21102	205	29	the	the	DET
fcis-21102	205	30	total	total	ADJ
fcis-21102	205	31	number	number	NOUN
fcis-21102	205	32	of	of	ADP
fcis-21102	205	33	all	all	DET
fcis-21102	205	34	instances	instance	NOUN
fcis-21102	205	35	.	.	PUNCT
fcis-21102	206	1	it	it	PRON
fcis-21102	206	2	measures	measure	VERB
fcis-21102	206	3	the	the	DET
fcis-21102	206	4	overall	overall	ADJ
fcis-21102	206	5	level	level	NOUN
fcis-21102	206	6	of	of	ADP
fcis-21102	206	7	accuracy	accuracy	NOUN
fcis-21102	206	8	of	of	ADP
fcis-21102	206	9	the	the	DET
fcis-21102	206	10	model	model	NOUN
fcis-21102	206	11	's	's	PART
fcis-21102	206	12	predictions	prediction	NOUN
fcis-21102	206	13	,	,	PUNCT
fcis-21102	206	14	with	with	ADP
fcis-21102	206	15	the	the	DET
fcis-21102	206	16	best	good	ADJ
fcis-21102	206	17	value	value	NOUN
fcis-21102	206	18	being	be	AUX
fcis-21102	206	19	1	1	NUM
fcis-21102	206	20	and	and	CCONJ
fcis-21102	206	21	the	the	DET
fcis-21102	206	22	worst	bad	ADJ
fcis-21102	206	23	value	value	NOUN
fcis-21102	206	24	being	be	AUX
fcis-21102	206	25	0	0	NUM
fcis-21102	206	26	.	.	PUNCT
fcis-21102	207	1	a	a	DET
fcis-21102	207	2	high	high	ADJ
fcis-21102	207	3	accuracy	accuracy	NOUN
fcis-21102	207	4	score	score	NOUN
fcis-21102	207	5	means	mean	VERB
fcis-21102	207	6	the	the	DET
fcis-21102	207	7	model	model	NOUN
fcis-21102	207	8	got	get	VERB
fcis-21102	207	9	a	a	DET
fcis-21102	207	10	higher	high	ADJ
fcis-21102	207	11	proportion	proportion	NOUN
fcis-21102	207	12	of	of	ADP
fcis-21102	207	13	all	all	DET
fcis-21102	207	14	predictions	prediction	NOUN
fcis-21102	207	15	correct	correct	ADJ
fcis-21102	207	16	.	.	PUNCT
fcis-21102	208	1	mathematically	mathematically	ADV
fcis-21102	208	2	,	,	PUNCT
fcis-21102	208	3	the	the	DET
fcis-21102	208	4	accuracy	accuracy	NOUN
fcis-21102	208	5	can	can	AUX
fcis-21102	208	6	be	be	AUX
fcis-21102	208	7	expressed	express	VERB
fcis-21102	208	8	as	as	ADP
fcis-21102	208	9	:	:	PUNCT
fcis-21102	208	10	accuracy	accuracy	NOUN
fcis-21102	208	11	(	(	PUNCT
fcis-21102	208	12	4	4	NUM
fcis-21102	208	13	)	)	PUNCT
fcis-21102	208	14	roc	roc	NOUN
fcis-21102	208	15	auc	auc	NOUN
fcis-21102	208	16	is	be	AUX
fcis-21102	208	17	a	a	DET
fcis-21102	208	18	performance	performance	NOUN
fcis-21102	208	19	measure	measure	NOUN
fcis-21102	208	20	for	for	ADP
fcis-21102	208	21	binary	binary	ADJ
fcis-21102	208	22	classification	classification	NOUN
fcis-21102	208	23	problems	problem	NOUN
fcis-21102	208	24	.	.	PUNCT
fcis-21102	209	1	it	it	PRON
fcis-21102	209	2	is	be	AUX
fcis-21102	209	3	the	the	DET
fcis-21102	209	4	area	area	NOUN
fcis-21102	209	5	under	under	ADP
fcis-21102	209	6	the	the	DET
fcis-21102	209	7	roc	roc	PROPN
fcis-21102	209	8	curve	curve	NOUN
fcis-21102	209	9	,	,	PUNCT
fcis-21102	209	10	which	which	PRON
fcis-21102	209	11	is	be	AUX
fcis-21102	209	12	a	a	DET
fcis-21102	209	13	graphical	graphical	ADJ
fcis-21102	209	14	representation	representation	NOUN
fcis-21102	209	15	of	of	ADP
fcis-21102	209	16	model	model	NOUN
fcis-21102	209	17	performance	performance	NOUN
fcis-21102	209	18	that	that	PRON
fcis-21102	209	19	plots	plot	VERB
fcis-21102	209	20	the	the	DET
fcis-21102	209	21	true	true	ADJ
fcis-21102	209	22	rate	rate	NOUN
fcis-21102	209	23	(	(	PUNCT
fcis-21102	209	24	recall	recall	NOUN
fcis-21102	209	25	)	)	PUNCT
fcis-21102	209	26	versus	versus	ADP
fcis-21102	209	27	the	the	DET
fcis-21102	209	28	false	false	ADJ
fcis-21102	209	29	positive	positive	ADJ
fcis-21102	209	30	rate	rate	NOUN
fcis-21102	209	31	.	.	PUNCT
fcis-21102	210	1	auc	auc	NOUN
fcis-21102	210	2	measures	measure	NOUN
fcis-21102	210	3	the	the	DET
fcis-21102	210	4	separability	separability	NOUN
fcis-21102	210	5	of	of	ADP
fcis-21102	210	6	two	two	NUM
fcis-21102	210	7	classes	class	NOUN
fcis-21102	210	8	,	,	PUNCT
fcis-21102	210	9	with	with	ADP
fcis-21102	210	10	a	a	DET
fcis-21102	210	11	value	value	NOUN
fcis-21102	210	12	of	of	ADP
fcis-21102	210	13	1	1	NUM
fcis-21102	210	14	representing	represent	VERB
fcis-21102	210	15	perfect	perfect	ADJ
fcis-21102	210	16	separation	separation	NOUN
fcis-21102	210	17	and	and	CCONJ
fcis-21102	210	18	a	a	DET
fcis-21102	210	19	value	value	NOUN
fcis-21102	210	20	of	of	ADP
fcis-21102	210	21	0.5	0.5	NUM
fcis-21102	210	22	representing	represent	VERB
fcis-21102	210	23	random	random	ADJ
fcis-21102	210	24	guessing	guessing	NOUN
fcis-21102	210	25	.	.	PUNCT
fcis-21102	211	1	3.3.2	3.3.2	X
fcis-21102	211	2	.	.	PUNCT
fcis-21102	211	3	model	model	PROPN
fcis-21102	211	4	comparison	comparison	NOUN
fcis-21102	211	5	the	the	DET
fcis-21102	211	6	ten	ten	NUM
fcis-21102	211	7	-	-	ADJ
fcis-21102	211	8	fold	fold	ADJ
fcis-21102	211	9	cross	cross	ADJ
fcis-21102	211	10	-	-	ADJ
fcis-21102	211	11	validation	validation	ADJ
fcis-21102	211	12	method	method	NOUN
fcis-21102	211	13	is	be	AUX
fcis-21102	211	14	used	use	VERB
fcis-21102	211	15	to	to	PART
fcis-21102	211	16	compare	compare	VERB
fcis-21102	211	17	the	the	DET
fcis-21102	211	18	performance	performance	NOUN
fcis-21102	211	19	of	of	ADP
fcis-21102	211	20	algorithms	algorithm	NOUN
fcis-21102	211	21	such	such	ADJ
fcis-21102	211	22	as	as	ADP
fcis-21102	211	23	bg	bg	PROPN
fcis-21102	211	24	-	-	PUNCT
fcis-21102	211	25	xgboost	xgboost	PROPN
fcis-21102	211	26	,	,	PUNCT
fcis-21102	211	27	random	random	ADJ
fcis-21102	211	28	forest	forest	NOUN
fcis-21102	211	29	,	,	PUNCT
fcis-21102	211	30	naive	naive	ADJ
fcis-21102	211	31	bayes	bayes	NOUN
fcis-21102	211	32	,	,	PUNCT
fcis-21102	211	33	svm	svm	PROPN
fcis-21102	211	34	,	,	PUNCT
fcis-21102	211	35	and	and	CCONJ
fcis-21102	211	36	knn	knn	PROPN
fcis-21102	211	37	.	.	PUNCT
fcis-21102	212	1	the	the	DET
fcis-21102	212	2	data	datum	NOUN
fcis-21102	212	3	set	set	VERB
fcis-21102	212	4	used	use	VERB
fcis-21102	212	5	is	be	AUX
fcis-21102	212	6	the	the	DET
fcis-21102	212	7	sample	sample	NOUN
fcis-21102	212	8	data	datum	NOUN
fcis-21102	212	9	set	set	VERB
fcis-21102	212	10	constructed	construct	VERB
fcis-21102	212	11	in	in	ADP
fcis-21102	212	12	section	section	NOUN
fcis-21102	212	13	3.3	3.3	NUM
fcis-21102	212	14	.	.	PUNCT
fcis-21102	213	1	the	the	DET
fcis-21102	213	2	algorithm	algorithm	NOUN
fcis-21102	213	3	model	model	NOUN
fcis-21102	213	4	evaluation	evaluation	NOUN
fcis-21102	213	5	results	result	NOUN
fcis-21102	213	6	are	be	AUX
fcis-21102	213	7	shown	show	VERB
fcis-21102	213	8	in	in	ADP
fcis-21102	213	9	the	the	DET
fcis-21102	213	10	table	table	NOUN
fcis-21102	213	11	.	.	PUNCT
fcis-21102	214	1	the	the	DET
fcis-21102	214	2	results	result	NOUN
fcis-21102	214	3	show	show	VERB
fcis-21102	214	4	that	that	SCONJ
fcis-21102	214	5	the	the	DET
fcis-21102	214	6	bg	bg	PROPN
fcis-21102	214	7	-	-	PUNCT
fcis-21102	214	8	xgboost	xgboost	PROPN
fcis-21102	214	9	algorithm	algorithm	PROPN
fcis-21102	214	10	model	model	NOUN
fcis-21102	214	11	is	be	AUX
fcis-21102	214	12	the	the	DET
fcis-21102	214	13	model	model	NOUN
fcis-21102	214	14	with	with	ADP
fcis-21102	214	15	the	the	DET
fcis-21102	214	16	best	good	ADJ
fcis-21102	214	17	classification	classification	NOUN
fcis-21102	214	18	effect	effect	NOUN
fcis-21102	214	19	under	under	ADP
fcis-21102	214	20	the	the	DET
fcis-21102	214	21	evaluation	evaluation	NOUN
fcis-21102	214	22	of	of	ADP
fcis-21102	214	23	f1	f1	PROPN
fcis-21102	214	24	score	score	NOUN
fcis-21102	214	25	,	,	PUNCT
fcis-21102	214	26	precision	precision	NOUN
fcis-21102	214	27	,	,	PUNCT
fcis-21102	214	28	recall	recall	NOUN
fcis-21102	214	29	,	,	PUNCT
fcis-21102	214	30	accuracy	accuracy	NOUN
fcis-21102	214	31	,	,	PUNCT
fcis-21102	214	32	roc	roc	NOUN
fcis-21102	214	33	auc	auc	NOUN
fcis-21102	214	34	and	and	CCONJ
fcis-21102	214	35	other	other	ADJ
fcis-21102	214	36	indicators	indicator	NOUN
fcis-21102	214	37	.	.	PUNCT
fcis-21102	215	1	table	table	NOUN
fcis-21102	215	2	1	1	NUM
fcis-21102	215	3	.	.	PUNCT
fcis-21102	215	4	model	model	PROPN
fcis-21102	215	5	comparison	comparison	NOUN
fcis-21102	215	6	algorithm	algorithm	PROPN
fcis-21102	215	7	f1	f1	PROPN
fcis-21102	215	8	score	score	NOUN
fcis-21102	215	9	precision	precision	NOUN
fcis-21102	215	10	recall	recall	NOUN
fcis-21102	215	11	accuracy	accuracy	PROPN
fcis-21102	215	12	naive	naive	ADJ
fcis-21102	215	13	bayes	bayes	NOUN
fcis-21102	215	14	0.844	0.844	NUM
fcis-21102	215	15	0.907	0.907	NUM
fcis-21102	215	16	0.782	0.782	NUM
fcis-21102	215	17	0.786	0.786	NUM
fcis-21102	215	18	svm	svm	PROPN
fcis-21102	215	19	0.875	0.875	NUM
fcis-21102	215	20	0.878	0.878	NUM
fcis-21102	215	21	0.872	0.872	NUM
fcis-21102	215	22	0.871	0.871	NUM
fcis-21102	215	23	knn	knn	NOUN
fcis-21102	215	24	0.912	0.912	NUM
fcis-21102	215	25	0.923	0.923	NUM
fcis-21102	215	26	0.901	0.901	NUM
fcis-21102	215	27	0.904	0.904	NUM
fcis-21102	215	28	random	random	ADJ
fcis-21102	215	29	forest	forest	NOUN
fcis-21102	215	30	0.927	0.927	NUM
fcis-21102	215	31	0.902	0.902	NUM
fcis-21102	215	32	0.951	0.951	NUM
fcis-21102	215	33	0.946	0.946	NUM
fcis-21102	215	34	bgxgboost	bgxgboost	VERB
fcis-21102	215	35	0.981	0.981	NUM
fcis-21102	215	36	0.974	0.974	NUM
fcis-21102	215	37	0.989	0.989	NUM
fcis-21102	215	38	0.983	0.983	NUM
fcis-21102	215	39	naive	naive	ADJ
fcis-21102	215	40	bayes	bayes	NOUN
fcis-21102	215	41	shows	show	VERB
fcis-21102	215	42	relatively	relatively	ADV
fcis-21102	215	43	high	high	ADJ
fcis-21102	215	44	precision	precision	NOUN
fcis-21102	215	45	(	(	PUNCT
fcis-21102	215	46	0.907	0.907	NUM
fcis-21102	215	47	)	)	PUNCT
fcis-21102	215	48	,	,	PUNCT
fcis-21102	215	49	but	but	CCONJ
fcis-21102	215	50	its	its	PRON
fcis-21102	215	51	recall	recall	NOUN
fcis-21102	215	52	(	(	PUNCT
fcis-21102	215	53	0.782	0.782	NUM
fcis-21102	215	54	)	)	PUNCT
fcis-21102	215	55	is	be	AUX
fcis-21102	215	56	low	low	ADJ
fcis-21102	215	57	,	,	PUNCT
fcis-21102	215	58	which	which	PRON
fcis-21102	215	59	results	result	VERB
fcis-21102	215	60	in	in	ADP
fcis-21102	215	61	an	an	DET
fcis-21102	215	62	f1	f1	ADJ
fcis-21102	215	63	score	score	NOUN
fcis-21102	215	64	of	of	ADP
fcis-21102	215	65	0.844	0.844	NUM
fcis-21102	215	66	.	.	PUNCT
fcis-21102	216	1	although	although	SCONJ
fcis-21102	216	2	the	the	DET
fcis-21102	216	3	accuracy	accuracy	NOUN
fcis-21102	216	4	is	be	AUX
fcis-21102	216	5	0.786	0.786	NUM
fcis-21102	216	6	,	,	PUNCT
fcis-21102	216	7	which	which	PRON
fcis-21102	216	8	is	be	AUX
fcis-21102	216	9	slightly	slightly	ADV
fcis-21102	216	10	insufficient	insufficient	ADJ
fcis-21102	216	11	,	,	PUNCT
fcis-21102	216	12	its	its	PRON
fcis-21102	216	13	roc	roc	PROPN
fcis-21102	216	14	auc	auc	NOUN
fcis-21102	216	15	score	score	NOUN
fcis-21102	216	16	reaches	reach	VERB
fcis-21102	216	17	0.978	0.978	NUM
fcis-21102	216	18	,	,	PUNCT
fcis-21102	216	19	indicating	indicate	VERB
fcis-21102	216	20	that	that	SCONJ
fcis-21102	216	21	it	it	PRON
fcis-21102	216	22	has	have	VERB
fcis-21102	216	23	excellent	excellent	ADJ
fcis-21102	216	24	positive	positive	ADJ
fcis-21102	216	25	and	and	CCONJ
fcis-21102	216	26	negative	negative	ADJ
fcis-21102	216	27	class	class	NOUN
fcis-21102	216	28	discrimination	discrimination	NOUN
fcis-21102	216	29	capabilities	capability	NOUN
fcis-21102	216	30	.	.	PUNCT
fcis-21102	217	1	svm	svm	PROPN
fcis-21102	217	2	performed	perform	VERB
fcis-21102	217	3	stably	stably	ADV
fcis-21102	217	4	on	on	ADP
fcis-21102	217	5	all	all	DET
fcis-21102	217	6	evaluation	evaluation	NOUN
fcis-21102	217	7	metrics	metric	NOUN
fcis-21102	217	8	,	,	PUNCT
fcis-21102	217	9	103	103	NUM
fcis-21102	217	10	with	with	ADP
fcis-21102	217	11	an	an	DET
fcis-21102	217	12	f1	f1	ADJ
fcis-21102	217	13	score	score	NOUN
fcis-21102	217	14	of	of	ADP
fcis-21102	217	15	0.875	0.875	NUM
fcis-21102	217	16	,	,	PUNCT
fcis-21102	217	17	precision	precision	NOUN
fcis-21102	217	18	and	and	CCONJ
fcis-21102	217	19	recall	recall	NOUN
fcis-21102	217	20	of	of	ADP
fcis-21102	217	21	0.878	0.878	NUM
fcis-21102	217	22	and	and	CCONJ
fcis-21102	217	23	0.872	0.872	NUM
fcis-21102	217	24	respectively	respectively	ADV
fcis-21102	217	25	,	,	PUNCT
fcis-21102	217	26	and	and	CCONJ
fcis-21102	217	27	an	an	DET
fcis-21102	217	28	accuracy	accuracy	NOUN
fcis-21102	217	29	of	of	ADP
fcis-21102	217	30	0.871	0.871	NUM
fcis-21102	217	31	.	.	PUNCT
fcis-21102	218	1	the	the	DET
fcis-21102	218	2	roc	roc	PROPN
fcis-21102	218	3	auc	auc	NOUN
fcis-21102	218	4	score	score	NOUN
fcis-21102	218	5	is	be	AUX
fcis-21102	218	6	0.931	0.931	NUM
fcis-21102	218	7	,	,	PUNCT
fcis-21102	218	8	showing	show	VERB
fcis-21102	218	9	that	that	SCONJ
fcis-21102	218	10	svm	svm	NOUN
fcis-21102	218	11	has	have	VERB
fcis-21102	218	12	strong	strong	ADJ
fcis-21102	218	13	classification	classification	NOUN
fcis-21102	218	14	ability	ability	NOUN
fcis-21102	218	15	and	and	CCONJ
fcis-21102	218	16	good	good	ADJ
fcis-21102	218	17	discrimination	discrimination	NOUN
fcis-21102	218	18	.	.	PUNCT
fcis-21102	219	1	the	the	DET
fcis-21102	219	2	knn	knn	PROPN
fcis-21102	219	3	algorithm	algorithm	PROPN
fcis-21102	219	4	highlights	highlight	VERB
fcis-21102	219	5	its	its	PRON
fcis-21102	219	6	high	high	ADJ
fcis-21102	219	7	efficiency	efficiency	NOUN
fcis-21102	219	8	with	with	ADP
fcis-21102	219	9	an	an	DET
fcis-21102	219	10	f1	f1	ADJ
fcis-21102	219	11	score	score	NOUN
fcis-21102	219	12	of	of	ADP
fcis-21102	219	13	0.912	0.912	NUM
fcis-21102	219	14	,	,	PUNCT
fcis-21102	219	15	a	a	DET
fcis-21102	219	16	precision	precision	NOUN
fcis-21102	219	17	of	of	ADP
fcis-21102	219	18	0.923	0.923	NUM
fcis-21102	219	19	,	,	PUNCT
fcis-21102	219	20	a	a	DET
fcis-21102	219	21	recall	recall	NOUN
fcis-21102	219	22	rate	rate	NOUN
fcis-21102	219	23	of	of	ADP
fcis-21102	219	24	0.901	0.901	NUM
fcis-21102	219	25	,	,	PUNCT
fcis-21102	219	26	and	and	CCONJ
fcis-21102	219	27	an	an	DET
fcis-21102	219	28	accuracy	accuracy	NOUN
fcis-21102	219	29	rate	rate	NOUN
fcis-21102	219	30	of	of	ADP
fcis-21102	219	31	0.904	0.904	NUM
fcis-21102	219	32	.	.	PUNCT
fcis-21102	220	1	the	the	DET
fcis-21102	220	2	roc	roc	PROPN
fcis-21102	220	3	auc	auc	NOUN
fcis-21102	220	4	score	score	NOUN
fcis-21102	220	5	as	as	ADV
fcis-21102	220	6	high	high	ADJ
fcis-21102	220	7	as	as	ADP
fcis-21102	220	8	0.971	0.971	NUM
fcis-21102	220	9	,	,	PUNCT
fcis-21102	220	10	indicating	indicate	VERB
fcis-21102	220	11	that	that	SCONJ
fcis-21102	220	12	knn	knn	PROPN
fcis-21102	220	13	has	have	VERB
fcis-21102	220	14	high	high	ADJ
fcis-21102	220	15	accuracy	accuracy	NOUN
fcis-21102	220	16	and	and	CCONJ
fcis-21102	220	17	significant	significant	ADJ
fcis-21102	220	18	class	class	NOUN
fcis-21102	220	19	discrimination	discrimination	NOUN
fcis-21102	220	20	ability	ability	NOUN
fcis-21102	220	21	on	on	ADP
fcis-21102	220	22	this	this	DET
fcis-21102	220	23	data	datum	NOUN
fcis-21102	220	24	set	set	VERB
fcis-21102	220	25	.	.	PUNCT
fcis-21102	221	1	random	random	ADJ
fcis-21102	221	2	forest	forest	NOUN
fcis-21102	221	3	stands	stand	VERB
fcis-21102	221	4	out	out	ADP
fcis-21102	221	5	for	for	ADP
fcis-21102	221	6	its	its	PRON
fcis-21102	221	7	high	high	ADJ
fcis-21102	221	8	recall	recall	NOUN
fcis-21102	221	9	(	(	PUNCT
fcis-21102	221	10	0.951	0.951	NUM
fcis-21102	221	11	)	)	PUNCT
fcis-21102	221	12	,	,	PUNCT
fcis-21102	221	13	with	with	ADP
fcis-21102	221	14	an	an	DET
fcis-21102	221	15	f1	f1	ADJ
fcis-21102	221	16	score	score	NOUN
fcis-21102	221	17	of	of	ADP
fcis-21102	221	18	0.927	0.927	NUM
fcis-21102	221	19	,	,	PUNCT
fcis-21102	221	20	slightly	slightly	ADV
fcis-21102	221	21	lower	low	ADJ
fcis-21102	221	22	precision	precision	NOUN
fcis-21102	221	23	of	of	ADP
fcis-21102	221	24	0.902	0.902	NUM
fcis-21102	221	25	,	,	PUNCT
fcis-21102	221	26	and	and	CCONJ
fcis-21102	221	27	accuracy	accuracy	NOUN
fcis-21102	221	28	of	of	ADP
fcis-21102	221	29	0.946	0.946	NUM
fcis-21102	221	30	.	.	PUNCT
fcis-21102	222	1	however	however	ADV
fcis-21102	222	2	,	,	PUNCT
fcis-21102	222	3	its	its	PRON
fcis-21102	222	4	roc	roc	PROPN
fcis-21102	222	5	auc	auc	NOUN
fcis-21102	222	6	score	score	NOUN
fcis-21102	222	7	is	be	AUX
fcis-21102	222	8	0.925	0.925	NUM
fcis-21102	222	9	,	,	PUNCT
fcis-21102	222	10	which	which	PRON
fcis-21102	222	11	is	be	AUX
fcis-21102	222	12	lower	low	ADJ
fcis-21102	222	13	than	than	ADP
fcis-21102	222	14	other	other	ADJ
fcis-21102	222	15	models	model	NOUN
fcis-21102	222	16	,	,	PUNCT
fcis-21102	222	17	which	which	PRON
fcis-21102	222	18	may	may	AUX
fcis-21102	222	19	mean	mean	VERB
fcis-21102	222	20	that	that	SCONJ
fcis-21102	222	21	its	its	PRON
fcis-21102	222	22	ability	ability	NOUN
fcis-21102	222	23	to	to	PART
fcis-21102	222	24	distinguish	distinguish	VERB
fcis-21102	222	25	positive	positive	ADJ
fcis-21102	222	26	and	and	CCONJ
fcis-21102	222	27	negative	negative	ADJ
fcis-21102	222	28	classes	class	NOUN
fcis-21102	222	29	is	be	AUX
fcis-21102	222	30	slightly	slightly	ADV
fcis-21102	222	31	insufficient	insufficient	ADJ
fcis-21102	222	32	in	in	ADP
fcis-21102	222	33	some	some	DET
fcis-21102	222	34	scenarios	scenario	NOUN
fcis-21102	222	35	.	.	PUNCT
fcis-21102	223	1	bg	bg	PROPN
fcis-21102	223	2	-	-	PUNCT
fcis-21102	223	3	xgboost	xgboost	PROPN
fcis-21102	223	4	showed	show	VERB
fcis-21102	223	5	the	the	DET
fcis-21102	223	6	best	good	ADJ
fcis-21102	223	7	performance	performance	NOUN
fcis-21102	223	8	in	in	ADP
fcis-21102	223	9	all	all	DET
fcis-21102	223	10	indicators	indicator	NOUN
fcis-21102	223	11	,	,	PUNCT
fcis-21102	223	12	with	with	ADP
fcis-21102	223	13	an	an	DET
fcis-21102	223	14	f1	f1	ADJ
fcis-21102	223	15	score	score	NOUN
fcis-21102	223	16	of	of	ADP
fcis-21102	223	17	0.981	0.981	NUM
fcis-21102	223	18	,	,	PUNCT
fcis-21102	223	19	a	a	DET
fcis-21102	223	20	precision	precision	NOUN
fcis-21102	223	21	of	of	ADP
fcis-21102	223	22	0.974	0.974	NUM
fcis-21102	223	23	,	,	PUNCT
fcis-21102	223	24	a	a	DET
fcis-21102	223	25	recall	recall	NOUN
fcis-21102	223	26	rate	rate	NOUN
fcis-21102	223	27	of	of	ADP
fcis-21102	223	28	0.989	0.989	NUM
fcis-21102	223	29	,	,	PUNCT
fcis-21102	223	30	an	an	DET
fcis-21102	223	31	accuracy	accuracy	NOUN
fcis-21102	223	32	rate	rate	NOUN
fcis-21102	223	33	of	of	ADP
fcis-21102	223	34	0.983	0.983	NUM
fcis-21102	223	35	,	,	PUNCT
fcis-21102	223	36	and	and	CCONJ
fcis-21102	223	37	a	a	DET
fcis-21102	223	38	roc	roc	PROPN
fcis-21102	223	39	auc	auc	NOUN
fcis-21102	223	40	score	score	NOUN
fcis-21102	223	41	of	of	ADP
fcis-21102	223	42	0.982	0.982	NUM
fcis-21102	223	43	.	.	PUNCT
fcis-21102	224	1	this	this	PRON
fcis-21102	224	2	shows	show	VERB
fcis-21102	224	3	that	that	SCONJ
fcis-21102	224	4	the	the	DET
fcis-21102	224	5	bg	bg	PROPN
fcis-21102	224	6	-	-	PUNCT
fcis-21102	224	7	xgboost	xgboost	PROPN
fcis-21102	224	8	model	model	NOUN
fcis-21102	224	9	has	have	AUX
fcis-21102	224	10	reached	reach	VERB
fcis-21102	224	11	extremely	extremely	ADV
fcis-21102	224	12	high	high	ADJ
fcis-21102	224	13	standards	standard	NOUN
fcis-21102	224	14	in	in	ADP
fcis-21102	224	15	terms	term	NOUN
fcis-21102	224	16	of	of	ADP
fcis-21102	224	17	ensuring	ensure	VERB
fcis-21102	224	18	accuracy	accuracy	NOUN
fcis-21102	224	19	,	,	PUNCT
fcis-21102	224	20	improving	improve	VERB
fcis-21102	224	21	recall	recall	NOUN
fcis-21102	224	22	rate	rate	NOUN
fcis-21102	224	23	,	,	PUNCT
fcis-21102	224	24	and	and	CCONJ
fcis-21102	224	25	distinguishing	distinguish	VERB
fcis-21102	224	26	positive	positive	ADJ
fcis-21102	224	27	and	and	CCONJ
fcis-21102	224	28	negative	negative	ADJ
fcis-21102	224	29	categories	category	NOUN
fcis-21102	224	30	.	.	PUNCT
fcis-21102	225	1	figure	figure	VERB
fcis-21102	225	2	3	3	NUM
fcis-21102	225	3	.	.	PUNCT
fcis-21102	225	4	roc	roc	PROPN
fcis-21102	225	5	curve	curve	NOUN
fcis-21102	225	6	in	in	ADP
fcis-21102	225	7	this	this	DET
fcis-21102	225	8	study	study	NOUN
fcis-21102	225	9	,	,	PUNCT
fcis-21102	225	10	the	the	DET
fcis-21102	225	11	bg	bg	PROPN
fcis-21102	225	12	-	-	PUNCT
fcis-21102	225	13	xgboost	xgboost	PROPN
fcis-21102	225	14	model	model	NOUN
fcis-21102	225	15	demonstrated	demonstrate	VERB
fcis-21102	225	16	a	a	DET
fcis-21102	225	17	high	high	ADJ
fcis-21102	225	18	accuracy	accuracy	NOUN
fcis-21102	225	19	of	of	ADP
fcis-21102	225	20	0.983	0.983	NUM
fcis-21102	225	21	.	.	PUNCT
fcis-21102	226	1	in	in	ADP
fcis-21102	226	2	order	order	NOUN
fcis-21102	226	3	to	to	PART
fcis-21102	226	4	test	test	VERB
fcis-21102	226	5	whether	whether	SCONJ
fcis-21102	226	6	the	the	DET
fcis-21102	226	7	model	model	NOUN
fcis-21102	226	8	is	be	AUX
fcis-21102	226	9	overfitting	overfitte	VERB
fcis-21102	226	10	,	,	PUNCT
fcis-21102	226	11	we	we	PRON
fcis-21102	226	12	made	make	VERB
fcis-21102	226	13	a	a	DET
fcis-21102	226	14	learning	learning	NOUN
fcis-21102	226	15	curve	curve	NOUN
fcis-21102	226	16	for	for	ADP
fcis-21102	226	17	analysis	analysis	NOUN
fcis-21102	226	18	.	.	PUNCT
fcis-21102	227	1	as	as	SCONJ
fcis-21102	227	2	shown	show	VERB
fcis-21102	227	3	in	in	ADP
fcis-21102	227	4	figure	figure	NOUN
fcis-21102	227	5	4	4	NUM
fcis-21102	227	6	,	,	PUNCT
fcis-21102	227	7	the	the	DET
fcis-21102	227	8	model	model	NOUN
fcis-21102	227	9	performs	perform	VERB
fcis-21102	227	10	very	very	ADV
fcis-21102	227	11	well	well	ADV
fcis-21102	227	12	on	on	ADP
fcis-21102	227	13	both	both	CCONJ
fcis-21102	227	14	the	the	DET
fcis-21102	227	15	training	training	NOUN
fcis-21102	227	16	set	set	NOUN
fcis-21102	227	17	and	and	CCONJ
fcis-21102	227	18	the	the	DET
fcis-21102	227	19	verification	verification	NOUN
fcis-21102	227	20	set	set	NOUN
fcis-21102	227	21	.	.	PUNCT
fcis-21102	228	1	the	the	DET
fcis-21102	228	2	curves	curve	NOUN
fcis-21102	228	3	of	of	ADP
fcis-21102	228	4	the	the	DET
fcis-21102	228	5	two	two	NUM
fcis-21102	228	6	are	be	AUX
fcis-21102	228	7	close	close	ADJ
fcis-21102	228	8	and	and	CCONJ
fcis-21102	228	9	the	the	DET
fcis-21102	228	10	accuracy	accuracy	NOUN
fcis-21102	228	11	is	be	AUX
fcis-21102	228	12	similar	similar	ADJ
fcis-21102	228	13	,	,	PUNCT
fcis-21102	228	14	indicating	indicate	VERB
fcis-21102	228	15	that	that	SCONJ
fcis-21102	228	16	the	the	DET
fcis-21102	228	17	model	model	NOUN
fcis-21102	228	18	does	do	AUX
fcis-21102	228	19	not	not	PART
fcis-21102	228	20	suffer	suffer	VERB
fcis-21102	228	21	from	from	ADP
fcis-21102	228	22	overfitting	overfitte	VERB
fcis-21102	228	23	.	.	PUNCT
fcis-21102	229	1	figure	figure	NOUN
fcis-21102	229	2	4	4	NUM
fcis-21102	229	3	.	.	PUNCT
fcis-21102	230	1	learning	learn	VERB
fcis-21102	230	2	curve	curve	NOUN
fcis-21102	230	3	chart	chart	NOUN
fcis-21102	230	4	4	4	NUM
fcis-21102	230	5	.	.	PUNCT
fcis-21102	230	6	conclusion	conclusion	NOUN
fcis-21102	230	7	this	this	DET
fcis-21102	230	8	article	article	NOUN
fcis-21102	230	9	mainly	mainly	ADV
fcis-21102	230	10	proposes	propose	VERB
fcis-21102	230	11	a	a	DET
fcis-21102	230	12	traffic	traffic	NOUN
fcis-21102	230	13	detection	detection	NOUN
fcis-21102	230	14	model	model	NOUN
fcis-21102	230	15	based	base	VERB
fcis-21102	230	16	on	on	ADP
fcis-21102	230	17	the	the	DET
fcis-21102	230	18	bg	bg	PROPN
fcis-21102	230	19	-	-	PUNCT
fcis-21102	230	20	xgboost	xgboost	PROPN
fcis-21102	230	21	algorithm	algorithm	NOUN
fcis-21102	230	22	,	,	PUNCT
fcis-21102	230	23	which	which	PRON
fcis-21102	230	24	is	be	AUX
fcis-21102	230	25	designed	design	VERB
fcis-21102	230	26	based	base	VERB
fcis-21102	230	27	on	on	ADP
fcis-21102	230	28	the	the	DET
fcis-21102	230	29	characteristics	characteristic	NOUN
fcis-21102	230	30	of	of	ADP
fcis-21102	230	31	eclipse	eclipse	NOUN
fcis-21102	230	32	attack	attack	NOUN
fcis-21102	230	33	traffic	traffic	NOUN
fcis-21102	230	34	and	and	CCONJ
fcis-21102	230	35	ethereum	ethereum	NOUN
fcis-21102	230	36	network	network	NOUN
fcis-21102	230	37	traffic	traffic	NOUN
fcis-21102	230	38	.	.	PUNCT
fcis-21102	231	1	the	the	DET
fcis-21102	231	2	model	model	NOUN
fcis-21102	231	3	includes	include	VERB
fcis-21102	231	4	three	three	NUM
fcis-21102	231	5	modules	module	NOUN
fcis-21102	231	6	:	:	PUNCT
fcis-21102	231	7	data	data	NOUN
fcis-21102	231	8	collection	collection	NOUN
fcis-21102	231	9	,	,	PUNCT
fcis-21102	231	10	data	data	NOUN
fcis-21102	231	11	stream	stream	NOUN
fcis-21102	231	12	processing	processing	NOUN
fcis-21102	231	13	and	and	CCONJ
fcis-21102	231	14	attack	attack	NOUN
fcis-21102	231	15	detection	detection	NOUN
fcis-21102	231	16	.	.	PUNCT
fcis-21102	232	1	through	through	ADP
fcis-21102	232	2	this	this	DET
fcis-21102	232	3	design	design	NOUN
fcis-21102	232	4	,	,	PUNCT
fcis-21102	232	5	the	the	DET
fcis-21102	232	6	model	model	NOUN
fcis-21102	232	7	can	can	AUX
fcis-21102	232	8	effectively	effectively	ADV
fcis-21102	232	9	solve	solve	VERB
fcis-21102	232	10	performance	performance	NOUN
fcis-21102	232	11	problems	problem	NOUN
fcis-21102	232	12	such	such	ADJ
fcis-21102	232	13	as	as	ADP
fcis-21102	232	14	data	datum	NOUN
fcis-21102	232	15	skew	skew	NOUN
fcis-21102	232	16	caused	cause	VERB
fcis-21102	232	17	by	by	ADP
fcis-21102	232	18	imbalanced	imbalanced	ADJ
fcis-21102	232	19	classification	classification	NOUN
fcis-21102	232	20	problems	problem	NOUN
fcis-21102	232	21	(	(	PUNCT
fcis-21102	232	22	such	such	ADJ
fcis-21102	232	23	as	as	ADP
fcis-21102	232	24	eclipse	eclipse	NOUN
fcis-21102	232	25	attack	attack	NOUN
fcis-21102	232	26	traffic	traffic	NOUN
fcis-21102	232	27	detection	detection	NOUN
fcis-21102	232	28	)	)	PUNCT
fcis-21102	232	29	,	,	PUNCT
fcis-21102	232	30	and	and	CCONJ
fcis-21102	232	31	show	show	VERB
fcis-21102	232	32	significant	significant	ADJ
fcis-21102	232	33	advantages	advantage	NOUN
fcis-21102	232	34	in	in	ADP
fcis-21102	232	35	accuracy	accuracy	NOUN
fcis-21102	232	36	and	and	CCONJ
fcis-21102	232	37	other	other	ADJ
fcis-21102	232	38	aspects	aspect	NOUN
fcis-21102	232	39	.	.	PUNCT
fcis-21102	233	1	references	reference	NOUN
fcis-21102	233	2	[	[	X
fcis-21102	233	3	1	1	NUM
fcis-21102	233	4	]	]	X
fcis-21102	233	5	zheng	zheng	X
fcis-21102	233	6	,	,	PUNCT
fcis-21102	233	7	zibin	zibin	PROPN
fcis-21102	233	8	,	,	PUNCT
fcis-21102	233	9	et	et	PROPN
fcis-21102	233	10	al	al	PROPN
fcis-21102	233	11	.	.	PUNCT
fcis-21102	234	1	"	"	PUNCT
fcis-21102	234	2	blockchain	blockchain	NOUN
fcis-21102	234	3	challenges	challenge	NOUN
fcis-21102	234	4	and	and	CCONJ
fcis-21102	234	5	opportunities	opportunity	NOUN
fcis-21102	234	6	:	:	PUNCT
fcis-21102	234	7	a	a	DET
fcis-21102	234	8	survey	survey	NOUN
fcis-21102	234	9	.	.	PUNCT
fcis-21102	234	10	"	"	PUNCT
fcis-21102	235	1	international	international	ADJ
fcis-21102	235	2	journal	journal	NOUN
fcis-21102	235	3	of	of	ADP
fcis-21102	235	4	web	web	NOUN
fcis-21102	235	5	and	and	CCONJ
fcis-21102	235	6	grid	grid	NOUN
fcis-21102	235	7	services	service	NOUN
fcis-21102	235	8	14.4	14.4	NUM
fcis-21102	235	9	(	(	PUNCT
fcis-21102	235	10	2018	2018	NUM
fcis-21102	235	11	):	):	PUNCT
fcis-21102	235	12	352	352	NUM
fcis-21102	235	13	-	-	SYM
fcis-21102	235	14	375	375	NUM
fcis-21102	235	15	.	.	PUNCT
fcis-21102	236	1	[	[	X
fcis-21102	236	2	2	2	NUM
fcis-21102	236	3	]	]	X
fcis-21102	236	4	liu	liu	PROPN
fcis-21102	236	5	,	,	PUNCT
fcis-21102	236	6	liang	liang	PROPN
fcis-21102	236	7	,	,	PUNCT
fcis-21102	236	8	and	and	CCONJ
fcis-21102	236	9	budong	budong	PROPN
fcis-21102	236	10	xu	xu	PROPN
fcis-21102	236	11	.	.	PUNCT
fcis-21102	237	1	"	"	PUNCT
fcis-21102	237	2	research	research	NOUN
fcis-21102	237	3	on	on	ADP
fcis-21102	237	4	information	information	NOUN
fcis-21102	237	5	security	security	NOUN
fcis-21102	237	6	technology	technology	NOUN
fcis-21102	237	7	based	base	VERB
fcis-21102	237	8	on	on	ADP
fcis-21102	237	9	blockchain	blockchain	PROPN
fcis-21102	237	10	.	.	PUNCT
fcis-21102	237	11	"	"	PUNCT
fcis-21102	238	1	2018	2018	NUM
fcis-21102	238	2	ieee	ieee	NOUN
fcis-21102	238	3	3rd	3rd	PROPN
fcis-21102	238	4	international	international	ADJ
fcis-21102	238	5	conference	conference	NOUN
fcis-21102	238	6	on	on	ADP
fcis-21102	238	7	cloud	cloud	NOUN
fcis-21102	238	8	computing	computing	NOUN
fcis-21102	238	9	and	and	CCONJ
fcis-21102	238	10	big	big	ADJ
fcis-21102	238	11	data	datum	NOUN
fcis-21102	238	12	analysis	analysis	NOUN
fcis-21102	238	13	(	(	PUNCT
fcis-21102	238	14	icccbda	icccbda	NOUN
fcis-21102	238	15	)	)	PUNCT
fcis-21102	238	16	.	.	PUNCT
fcis-21102	239	1	ieee	ieee	PROPN
fcis-21102	239	2	,	,	PUNCT
fcis-21102	239	3	2018	2018	NUM
fcis-21102	239	4	.	.	PUNCT
fcis-21102	240	1	[	[	X
fcis-21102	240	2	3	3	NUM
fcis-21102	240	3	]	]	X
fcis-21102	240	4	heilman	heilman	PROPN
fcis-21102	240	5	,	,	PUNCT
fcis-21102	240	6	ethan	ethan	PROPN
fcis-21102	240	7	,	,	PUNCT
fcis-21102	240	8	et	et	PROPN
fcis-21102	240	9	al	al	PROPN
fcis-21102	240	10	.	.	PUNCT
fcis-21102	241	1	"	"	PUNCT
fcis-21102	241	2	eclipse	eclipse	NOUN
fcis-21102	241	3	attacks	attack	NOUN
fcis-21102	241	4	on	on	ADP
fcis-21102	241	5	{	{	PUNCT
fcis-21102	241	6	bitcoin's}{peer	bitcoin's}{peer	NOUN
fcis-21102	241	7	-	-	PUNCT
fcis-21102	241	8	topeer	topeer	ADJ
fcis-21102	241	9	}	}	PUNCT
fcis-21102	241	10	network	network	NOUN
fcis-21102	241	11	.	.	PUNCT
fcis-21102	241	12	"	"	PUNCT
fcis-21102	242	1	24th	24th	ADJ
fcis-21102	242	2	usenix	usenix	NOUN
fcis-21102	242	3	security	security	NOUN
fcis-21102	242	4	symposium	symposium	NOUN
fcis-21102	242	5	(	(	PUNCT
fcis-21102	242	6	usenix	usenix	PROPN
fcis-21102	242	7	security	security	NOUN
fcis-21102	242	8	15	15	NUM
fcis-21102	242	9	)	)	PUNCT
fcis-21102	242	10	.	.	PUNCT
fcis-21102	243	1	2015	2015	NUM
fcis-21102	243	2	.	.	PUNCT
fcis-21102	244	1	[	[	X
fcis-21102	244	2	4	4	NUM
fcis-21102	244	3	]	]	SYM
fcis-21102	244	4	xu	xu	PROPN
fcis-21102	244	5	,	,	PUNCT
fcis-21102	244	6	guangquan	guangquan	PROPN
fcis-21102	244	7	,	,	PUNCT
fcis-21102	244	8	et	et	PROPN
fcis-21102	244	9	al	al	PROPN
fcis-21102	244	10	.	.	PUNCT
fcis-21102	245	1	"	"	PUNCT
fcis-21102	245	2	am	be	AUX
fcis-21102	245	3	i	i	PRON
fcis-21102	245	4	eclipsed	eclipse	VERB
fcis-21102	245	5	?	?	PUNCT
fcis-21102	246	1	a	a	DET
fcis-21102	246	2	smart	smart	ADJ
fcis-21102	246	3	detector	detector	NOUN
fcis-21102	246	4	of	of	ADP
fcis-21102	246	5	eclipse	eclipse	NOUN
fcis-21102	246	6	attacks	attack	NOUN
fcis-21102	246	7	for	for	ADP
fcis-21102	246	8	ethereum	ethereum	NOUN
fcis-21102	246	9	.	.	PUNCT
fcis-21102	246	10	"	"	PUNCT
fcis-21102	247	1	computers	computer	NOUN
fcis-21102	247	2	&	&	CCONJ
fcis-21102	247	3	security	security	NOUN
fcis-21102	247	4	88	88	NUM
fcis-21102	247	5	(	(	PUNCT
fcis-21102	247	6	2020	2020	NUM
fcis-21102	247	7	):	):	PUNCT
fcis-21102	247	8	101604	101604	NUM
fcis-21102	247	9	.	.	PUNCT
fcis-21102	248	1	[	[	X
fcis-21102	248	2	5	5	NUM
fcis-21102	248	3	]	]	X
fcis-21102	248	4	mufleh	mufleh	NOUN
fcis-21102	248	5	,	,	PUNCT
fcis-21102	248	6	alaa	alaa	PROPN
fcis-21102	248	7	.	.	PUNCT
fcis-21102	248	8	bitcoin	bitcoin	ADJ
fcis-21102	248	9	eclipse	eclipse	NOUN
fcis-21102	248	10	attack	attack	NOUN
fcis-21102	248	11	-	-	PUNCT
fcis-21102	248	12	statistic	statistic	NOUN
fcis-21102	248	13	analysis	analysis	NOUN
fcis-21102	248	14	on	on	ADP
fcis-21102	248	15	selfish	selfish	ADJ
fcis-21102	248	16	mining	mining	NOUN
fcis-21102	248	17	and	and	CCONJ
fcis-21102	248	18	double	double	ADJ
fcis-21102	248	19	-	-	PUNCT
fcis-21102	248	20	spending	spending	NOUN
fcis-21102	248	21	attack	attack	NOUN
fcis-21102	248	22	.	.	PUNCT
fcis-21102	249	1	diss	diss	PROPN
fcis-21102	249	2	.	.	PUNCT
fcis-21102	249	3	doctoral	doctoral	ADJ
fcis-21102	249	4	dissertation	dissertation	NOUN
fcis-21102	249	5	,	,	PUNCT
fcis-21102	249	6	johannes	johannes	PROPN
fcis-21102	249	7	kepler	kepler	PROPN
fcis-21102	249	8	university	university	PROPN
fcis-21102	249	9	linz	linz	PROPN
fcis-21102	249	10	,	,	PUNCT
fcis-21102	249	11	2019	2019	NUM
fcis-21102	249	12	.	.	PUNCT
fcis-21102	250	1	[	[	X
fcis-21102	250	2	6	6	NUM
fcis-21102	250	3	]	]	SYM
fcis-21102	250	4	atzei	atzei	ADJ
fcis-21102	250	5	,	,	PUNCT
fcis-21102	250	6	nicola	nicola	PROPN
fcis-21102	250	7	,	,	PUNCT
fcis-21102	250	8	massimo	massimo	PROPN
fcis-21102	250	9	bartoletti	bartoletti	PROPN
fcis-21102	250	10	,	,	PUNCT
fcis-21102	250	11	and	and	CCONJ
fcis-21102	250	12	tiziana	tiziana	NOUN
fcis-21102	250	13	cimoli	cimoli	NOUN
fcis-21102	250	14	.	.	PUNCT
fcis-21102	251	1	"	"	PUNCT
fcis-21102	251	2	a	a	DET
fcis-21102	251	3	survey	survey	NOUN
fcis-21102	251	4	of	of	ADP
fcis-21102	251	5	attacks	attack	NOUN
fcis-21102	251	6	on	on	ADP
fcis-21102	251	7	ethereum	ethereum	NOUN
fcis-21102	251	8	smart	smart	ADJ
fcis-21102	251	9	contracts	contract	NOUN
fcis-21102	251	10	(	(	PUNCT
fcis-21102	251	11	sok	sok	NOUN
fcis-21102	251	12	)	)	PUNCT
fcis-21102	251	13	.	.	PUNCT
fcis-21102	251	14	"	"	PUNCT
fcis-21102	252	1	principles	principle	NOUN
fcis-21102	252	2	of	of	ADP
fcis-21102	252	3	security	security	NOUN
fcis-21102	252	4	and	and	CCONJ
fcis-21102	252	5	trust	trust	NOUN
fcis-21102	252	6	:	:	PUNCT
fcis-21102	252	7	6th	6th	ADJ
fcis-21102	252	8	international	international	ADJ
fcis-21102	252	9	conference	conference	NOUN
fcis-21102	252	10	,	,	PUNCT
fcis-21102	252	11	post	post	NOUN
fcis-21102	252	12	2017	2017	NUM
fcis-21102	252	13	,	,	PUNCT
fcis-21102	252	14	held	hold	VERB
fcis-21102	252	15	as	as	ADP
fcis-21102	252	16	part	part	NOUN
fcis-21102	252	17	of	of	ADP
fcis-21102	252	18	the	the	DET
fcis-21102	252	19	european	european	ADJ
fcis-21102	252	20	joint	joint	ADJ
fcis-21102	252	21	conferences	conference	NOUN
fcis-21102	252	22	on	on	ADP
fcis-21102	252	23	theory	theory	NOUN
fcis-21102	252	24	and	and	CCONJ
fcis-21102	252	25	practice	practice	NOUN
fcis-21102	252	26	of	of	ADP
fcis-21102	252	27	software	software	NOUN
fcis-21102	252	28	,	,	PUNCT
fcis-21102	252	29	etaps	etap	VERB
fcis-21102	252	30	2017	2017	NUM
fcis-21102	252	31	,	,	PUNCT
fcis-21102	252	32	uppsala	uppsala	PROPN
fcis-21102	252	33	,	,	PUNCT
fcis-21102	252	34	sweden	sweden	PROPN
fcis-21102	252	35	,	,	PUNCT
fcis-21102	252	36	april	april	PROPN
fcis-21102	252	37	22	22	NUM
fcis-21102	252	38	-	-	SYM
fcis-21102	252	39	29	29	NUM
fcis-21102	252	40	,	,	PUNCT
fcis-21102	252	41	2017	2017	NUM
fcis-21102	252	42	,	,	PUNCT
fcis-21102	252	43	proceedings	proceeding	NOUN
fcis-21102	252	44	6	6	NUM
fcis-21102	252	45	.	.	PUNCT
fcis-21102	252	46	springer	springer	PROPN
fcis-21102	252	47	berlin	berlin	PROPN
fcis-21102	252	48	heidelberg	heidelberg	PROPN
fcis-21102	252	49	,	,	PUNCT
fcis-21102	252	50	2017	2017	NUM
fcis-21102	252	51	.	.	PUNCT
fcis-21102	253	1	[	[	X
fcis-21102	253	2	7	7	NUM
fcis-21102	253	3	]	]	X
fcis-21102	253	4	anderson	anderson	PROPN
fcis-21102	253	5	,	,	PUNCT
fcis-21102	253	6	luke	luke	PROPN
fcis-21102	253	7	,	,	PUNCT
fcis-21102	253	8	et	et	PROPN
fcis-21102	253	9	al	al	PROPN
fcis-21102	253	10	.	.	PUNCT
fcis-21102	254	1	"	"	PUNCT
fcis-21102	254	2	new	new	ADJ
fcis-21102	254	3	kids	kid	NOUN
fcis-21102	254	4	on	on	ADP
fcis-21102	254	5	the	the	DET
fcis-21102	254	6	block	block	NOUN
fcis-21102	254	7	:	:	PUNCT
fcis-21102	254	8	an	an	DET
fcis-21102	254	9	analysis	analysis	NOUN
fcis-21102	254	10	of	of	ADP
fcis-21102	254	11	modern	modern	ADJ
fcis-21102	254	12	blockchains	blockchain	NOUN
fcis-21102	254	13	.	.	PUNCT
fcis-21102	254	14	"	"	PUNCT
fcis-21102	255	1	arxiv	arxiv	PROPN
fcis-21102	255	2	preprint	preprint	PROPN
fcis-21102	255	3	arxiv:1606.06530	arxiv:1606.06530	PROPN
fcis-21102	255	4	(	(	PUNCT
fcis-21102	255	5	2016	2016	NUM
fcis-21102	255	6	)	)	PUNCT
fcis-21102	255	7	.	.	PUNCT
fcis-21102	256	1	[	[	X
fcis-21102	256	2	8	8	NUM
fcis-21102	256	3	]	]	X
fcis-21102	256	4	marcus	marcus	PROPN
fcis-21102	256	5	,	,	PUNCT
fcis-21102	256	6	yuval	yuval	PROPN
fcis-21102	256	7	,	,	PUNCT
fcis-21102	256	8	ethan	ethan	PROPN
fcis-21102	256	9	heilman	heilman	PROPN
fcis-21102	256	10	,	,	PUNCT
fcis-21102	256	11	and	and	CCONJ
fcis-21102	256	12	sharon	sharon	PROPN
fcis-21102	256	13	goldberg	goldberg	PROPN
fcis-21102	256	14	.	.	PUNCT
fcis-21102	257	1	"	"	PUNCT
fcis-21102	257	2	lowresource	lowresource	NOUN
fcis-21102	257	3	eclipse	eclipse	NOUN
fcis-21102	257	4	attacks	attack	NOUN
fcis-21102	257	5	on	on	ADP
fcis-21102	257	6	ethereum	ethereum	NOUN
fcis-21102	257	7	's	's	PART
fcis-21102	257	8	peer	peer	NOUN
fcis-21102	257	9	-	-	PUNCT
fcis-21102	257	10	to	to	ADP
fcis-21102	257	11	-	-	PUNCT
fcis-21102	257	12	peer	peer	NOUN
fcis-21102	257	13	network	network	NOUN
fcis-21102	257	14	.	.	PUNCT
fcis-21102	257	15	"	"	PUNCT
fcis-21102	257	16	cryptology	cryptology	NOUN
fcis-21102	257	17	eprint	eprint	NOUN
fcis-21102	257	18	archive	archive	NOUN
fcis-21102	257	19	(	(	PUNCT
fcis-21102	257	20	2018	2018	NUM
fcis-21102	257	21	)	)	PUNCT
fcis-21102	257	22	.	.	PUNCT
fcis-21102	258	1	[	[	X
fcis-21102	258	2	9	9	NUM
fcis-21102	258	3	]	]	PUNCT
fcis-21102	258	4	rottondi	rottondi	VERB
fcis-21102	258	5	,	,	PUNCT
fcis-21102	258	6	cristina	cristina	PROPN
fcis-21102	258	7	,	,	PUNCT
fcis-21102	258	8	et	et	PROPN
fcis-21102	258	9	al	al	PROPN
fcis-21102	258	10	.	.	PUNCT
fcis-21102	259	1	"	"	PUNCT
fcis-21102	259	2	detection	detection	NOUN
fcis-21102	259	3	and	and	CCONJ
fcis-21102	259	4	mitigation	mitigation	NOUN
fcis-21102	259	5	of	of	ADP
fcis-21102	259	6	the	the	DET
fcis-21102	259	7	eclipse	eclipse	NOUN
fcis-21102	259	8	attack	attack	NOUN
fcis-21102	259	9	in	in	ADP
fcis-21102	259	10	chord	chord	NOUN
fcis-21102	259	11	overlays	overlay	VERB
fcis-21102	259	12	.	.	PUNCT
fcis-21102	259	13	"	"	PUNCT
fcis-21102	260	1	international	international	ADJ
fcis-21102	260	2	journal	journal	NOUN
fcis-21102	260	3	of	of	ADP
fcis-21102	260	4	computational	computational	ADJ
fcis-21102	260	5	science	science	NOUN
fcis-21102	260	6	and	and	CCONJ
fcis-21102	260	7	engineering	engineering	NOUN
fcis-21102	260	8	13.2	13.2	NUM
fcis-21102	260	9	(	(	PUNCT
fcis-21102	260	10	2016	2016	NUM
fcis-21102	260	11	):	):	PUNCT
fcis-21102	260	12	111	111	NUM
fcis-21102	260	13	-	-	SYM
fcis-21102	260	14	121	121	NUM
fcis-21102	260	15	.	.	PUNCT
fcis-21102	261	1	[	[	X
fcis-21102	261	2	10	10	NUM
fcis-21102	261	3	]	]	X
fcis-21102	261	4	fantacci	fantacci	VERB
fcis-21102	261	5	,	,	PUNCT
fcis-21102	261	6	romano	romano	NOUN
fcis-21102	261	7	,	,	PUNCT
fcis-21102	261	8	et	et	PROPN
fcis-21102	261	9	al	al	PROPN
fcis-21102	261	10	.	.	PUNCT
fcis-21102	262	1	"	"	PUNCT
fcis-21102	262	2	avoiding	avoid	VERB
fcis-21102	262	3	eclipse	eclipse	NOUN
fcis-21102	262	4	attacks	attack	NOUN
fcis-21102	262	5	on	on	ADP
fcis-21102	262	6	kad	kad	PROPN
fcis-21102	262	7	/	/	SYM
fcis-21102	262	8	kademlia	kademlia	PROPN
fcis-21102	262	9	:	:	PUNCT
fcis-21102	262	10	an	an	DET
fcis-21102	262	11	identity	identity	NOUN
fcis-21102	262	12	based	base	VERB
fcis-21102	262	13	approach	approach	NOUN
fcis-21102	262	14	.	.	PUNCT
fcis-21102	262	15	"	"	PUNCT
fcis-21102	263	1	2009	2009	NUM
fcis-21102	263	2	ieee	ieee	PROPN
fcis-21102	263	3	international	international	ADJ
fcis-21102	263	4	conference	conference	NOUN
fcis-21102	263	5	on	on	ADP
fcis-21102	263	6	communications	communication	NOUN
fcis-21102	263	7	.	.	PUNCT
fcis-21102	264	1	ieee	ieee	NOUN
fcis-21102	264	2	,	,	PUNCT
fcis-21102	264	3	2009	2009	NUM
fcis-21102	264	4	.	.	PUNCT
fcis-21102	265	1	[	[	X
fcis-21102	265	2	11	11	NUM
fcis-21102	265	3	]	]	SYM
fcis-21102	265	4	tran	tran	PROPN
fcis-21102	265	5	,	,	PUNCT
fcis-21102	265	6	muoi	muoi	PROPN
fcis-21102	265	7	,	,	PUNCT
fcis-21102	265	8	akshaye	akshaye	NOUN
fcis-21102	265	9	shenoi	shenoi	NOUN
fcis-21102	265	10	,	,	PUNCT
fcis-21102	265	11	and	and	CCONJ
fcis-21102	265	12	min	min	PROPN
fcis-21102	265	13	suk	suk	PROPN
fcis-21102	265	14	kang	kang	PROPN
fcis-21102	265	15	.	.	PUNCT
fcis-21102	266	1	"	"	PUNCT
fcis-21102	266	2	on	on	ADP
fcis-21102	266	3	the	the	DET
fcis-21102	266	4	{	{	PUNCT
fcis-21102	266	5	routing	routing	NOUN
fcis-21102	266	6	-	-	PUNCT
fcis-21102	266	7	aware	aware	ADJ
fcis-21102	266	8	}	}	PUNCT
fcis-21102	266	9	peering	peer	VERB
fcis-21102	266	10	against	against	ADP
fcis-21102	266	11	{	{	PUNCT
fcis-21102	266	12	network	network	NOUN
fcis-21102	266	13	-	-	PUNCT
fcis-21102	266	14	eclipse	eclipse	NOUN
fcis-21102	266	15	}	}	PUNCT
fcis-21102	266	16	attacks	attack	NOUN
fcis-21102	266	17	in	in	ADP
fcis-21102	266	18	bitcoin	bitcoin	NOUN
fcis-21102	266	19	.	.	PUNCT
fcis-21102	266	20	"	"	PUNCT
fcis-21102	267	1	30th	30th	ADJ
fcis-21102	267	2	usenix	usenix	NOUN
fcis-21102	267	3	security	security	NOUN
fcis-21102	267	4	symposium	symposium	NOUN
fcis-21102	267	5	(	(	PUNCT
fcis-21102	267	6	usenix	usenix	PROPN
fcis-21102	267	7	security	security	NOUN
fcis-21102	267	8	21	21	NUM
fcis-21102	267	9	)	)	PUNCT
fcis-21102	267	10	.	.	PUNCT
fcis-21102	267	11	2021	2021	NUM
fcis-21102	267	12	.	.	PUNCT
fcis-21102	268	1	[	[	X
fcis-21102	268	2	12	12	NUM
fcis-21102	268	3	]	]	X
fcis-21102	268	4	chicarino	chicarino	PROPN
fcis-21102	268	5	,	,	PUNCT
fcis-21102	268	6	vanessa	vanessa	PROPN
fcis-21102	268	7	,	,	PUNCT
fcis-21102	268	8	et	et	PROPN
fcis-21102	268	9	al	al	PROPN
fcis-21102	268	10	.	.	PUNCT
fcis-21102	269	1	"	"	PUNCT
fcis-21102	269	2	on	on	ADP
fcis-21102	269	3	the	the	DET
fcis-21102	269	4	detection	detection	NOUN
fcis-21102	269	5	of	of	ADP
fcis-21102	269	6	selfish	selfish	ADJ
fcis-21102	269	7	mining	mining	NOUN
fcis-21102	269	8	and	and	CCONJ
fcis-21102	269	9	stalker	stalker	NOUN
fcis-21102	269	10	attacks	attack	NOUN
fcis-21102	269	11	in	in	ADP
fcis-21102	269	12	blockchain	blockchain	PROPN
fcis-21102	269	13	networks	network	NOUN
fcis-21102	269	14	.	.	PUNCT
fcis-21102	269	15	"	"	PUNCT
fcis-21102	269	16	annals	annal	NOUN
fcis-21102	269	17	of	of	ADP
fcis-21102	269	18	telecommunications	telecommunication	NOUN
fcis-21102	269	19	75	75	NUM
fcis-21102	269	20	(	(	PUNCT
fcis-21102	269	21	2020	2020	NUM
fcis-21102	269	22	):	):	PUNCT
fcis-21102	269	23	143	143	NUM
fcis-21102	269	24	-	-	SYM
fcis-21102	269	25	152	152	NUM
fcis-21102	269	26	.	.	PUNCT
fcis-21102	270	1	[	[	X
fcis-21102	270	2	13	13	NUM
fcis-21102	270	3	]	]	X
fcis-21102	270	4	ismail	ismail	PROPN
fcis-21102	270	5	,	,	PUNCT
fcis-21102	270	6	hatem	hatem	PROPN
fcis-21102	270	7	,	,	PUNCT
fcis-21102	270	8	daniel	daniel	PROPN
fcis-21102	270	9	germanus	germanus	PROPN
fcis-21102	270	10	,	,	PUNCT
fcis-21102	270	11	and	and	CCONJ
fcis-21102	270	12	neeraj	neeraj	PROPN
fcis-21102	270	13	suri	suri	PROPN
fcis-21102	270	14	.	.	PUNCT
fcis-21102	271	1	"	"	PUNCT
fcis-21102	271	2	detecting	detect	VERB
fcis-21102	271	3	and	and	CCONJ
fcis-21102	271	4	mitigating	mitigate	VERB
fcis-21102	271	5	p2p	p2p	NOUN
fcis-21102	271	6	eclipse	eclipse	NOUN
fcis-21102	271	7	attacks	attack	NOUN
fcis-21102	271	8	.	.	PUNCT
fcis-21102	271	9	"	"	PUNCT
fcis-21102	272	1	2015	2015	NUM
fcis-21102	272	2	ieee	ieee	NOUN
fcis-21102	272	3	21st	21st	NOUN
fcis-21102	272	4	international	international	ADJ
fcis-21102	272	5	conference	conference	NOUN
fcis-21102	272	6	on	on	ADP
fcis-21102	272	7	parallel	parallel	ADJ
fcis-21102	272	8	and	and	CCONJ
fcis-21102	272	9	distributed	distribute	VERB
fcis-21102	272	10	systems	system	NOUN
fcis-21102	272	11	(	(	PUNCT
fcis-21102	272	12	icpads	icpad	NOUN
fcis-21102	272	13	)	)	PUNCT
fcis-21102	272	14	.	.	PUNCT
fcis-21102	273	1	ieee	ieee	PROPN
fcis-21102	273	2	,	,	PUNCT
fcis-21102	273	3	2015	2015	NUM
fcis-21102	273	4	.	.	PUNCT
fcis-21102	274	1	[	[	X
fcis-21102	274	2	14	14	NUM
fcis-21102	274	3	]	]	PUNCT
fcis-21102	274	4	alangot	alangot	PROPN
fcis-21102	274	5	,	,	PUNCT
fcis-21102	274	6	bithin	bithin	PROPN
fcis-21102	274	7	,	,	PUNCT
fcis-21102	274	8	et	et	PROPN
fcis-21102	274	9	al	al	PROPN
fcis-21102	274	10	.	.	PUNCT
fcis-21102	275	1	"	"	PUNCT
fcis-21102	275	2	decentralized	decentralized	ADJ
fcis-21102	275	3	and	and	CCONJ
fcis-21102	275	4	lightweight	lightweight	ADJ
fcis-21102	275	5	approach	approach	NOUN
fcis-21102	275	6	to	to	PART
fcis-21102	275	7	detect	detect	VERB
fcis-21102	275	8	eclipse	eclipse	NOUN
fcis-21102	275	9	attacks	attack	NOUN
fcis-21102	275	10	on	on	ADP
fcis-21102	275	11	proof	proof	NOUN
fcis-21102	275	12	of	of	ADP
fcis-21102	275	13	work	work	NOUN
fcis-21102	275	14	blockchains	blockchain	NOUN
fcis-21102	275	15	.	.	PUNCT
fcis-21102	275	16	"	"	PUNCT
fcis-21102	276	1	ieee	ieee	NOUN
fcis-21102	276	2	transactions	transaction	NOUN
fcis-21102	276	3	on	on	ADP
fcis-21102	276	4	network	network	NOUN
fcis-21102	276	5	and	and	CCONJ
fcis-21102	276	6	service	service	NOUN
fcis-21102	276	7	management	management	NOUN
fcis-21102	276	8	18.2	18.2	NUM
fcis-21102	276	9	(	(	PUNCT
fcis-21102	276	10	2021	2021	NUM
fcis-21102	276	11	):	):	PUNCT
fcis-21102	276	12	1659	1659	NUM
fcis-21102	276	13	-	-	SYM
fcis-21102	276	14	1672	1672	NUM
fcis-21102	276	15	.	.	PUNCT
fcis-21102	277	1	[	[	X
fcis-21102	277	2	15	15	NUM
fcis-21102	277	3	]	]	X
fcis-21102	277	4	dai	dai	PROPN
fcis-21102	277	5	,	,	PUNCT
fcis-21102	277	6	qianyi	qianyi	PROPN
fcis-21102	277	7	,	,	PUNCT
fcis-21102	277	8	bin	bin	PROPN
fcis-21102	277	9	zhang	zhang	PROPN
fcis-21102	277	10	,	,	PUNCT
fcis-21102	277	11	and	and	CCONJ
fcis-21102	277	12	shuqin	shuqin	PROPN
fcis-21102	277	13	dong	dong	PROPN
fcis-21102	277	14	.	.	PUNCT
fcis-21102	278	1	"	"	PUNCT
fcis-21102	278	2	eclipse	eclipse	NOUN
fcis-21102	278	3	attack	attack	NOUN
fcis-21102	278	4	detection	detection	NOUN
fcis-21102	278	5	for	for	ADP
fcis-21102	278	6	blockchain	blockchain	PROPN
fcis-21102	278	7	network	network	NOUN
fcis-21102	278	8	layer	layer	NOUN
fcis-21102	278	9	based	base	VERB
fcis-21102	278	10	on	on	ADP
fcis-21102	278	11	deep	deep	ADJ
fcis-21102	278	12	feature	feature	NOUN
fcis-21102	278	13	extraction	extraction	NOUN
fcis-21102	278	14	.	.	PUNCT
fcis-21102	278	15	"	"	PUNCT
fcis-21102	279	1	wireless	wireless	ADJ
fcis-21102	279	2	communications	communication	NOUN
fcis-21102	279	3	and	and	CCONJ
fcis-21102	279	4	mobile	mobile	NOUN
fcis-21102	279	5	computing	computing	NOUN
fcis-21102	279	6	2022	2022	NUM
fcis-21102	279	7	(	(	PUNCT
fcis-21102	279	8	2022	2022	NUM
fcis-21102	279	9	)	)	PUNCT
fcis-21102	279	10	.	.	PUNCT