id	sid	tid	token	lemma	pos
bracis-33563	1	1	baswe	baswe	NOUN
bracis-33563	1	2	:	:	PUNCT
bracis-33563	1	3	balanced	balanced	ADJ
bracis-33563	1	4	accuracy	accuracy	NOUN
bracis-33563	1	5	-	-	PUNCT
bracis-33563	1	6	based	base	VERB
bracis-33563	1	7	sliding	slide	VERB
bracis-33563	1	8	window	window	NOUN
bracis-33563	1	9	ensemble	ensemble	ADJ
bracis-33563	1	10	for	for	ADP
bracis-33563	1	11	 	 	SPACE
bracis-33563	1	12	classification	classification	NOUN
bracis-33563	1	13	in	in	ADP
bracis-33563	1	14	 	 	SPACE
bracis-33563	1	15	imbalanced	imbalanced	ADJ
bracis-33563	1	16	data	data	NOUN
bracis-33563	1	17	streams	stream	NOUN
bracis-33563	1	18	with	with	ADP
bracis-33563	1	19	 	 	SPACE
bracis-33563	1	20	concept	concept	NOUN
bracis-33563	1	21	drift	drift	NOUN
bracis-33563	1	22	|	|	NOUN
bracis-33563	1	23	springer	springer	NOUN
bracis-33563	1	24	nature	nature	NOUN
bracis-33563	1	25	link	link	PROPN
bracis-33563	1	26	(	(	PUNCT
bracis-33563	1	27	formerly	formerly	ADV
bracis-33563	1	28	springerlink	springerlink	NOUN
bracis-33563	1	29	)	)	PUNCT
bracis-33563	1	30	skip	skip	VERB
bracis-33563	1	31	to	to	ADP
bracis-33563	1	32	main	main	ADJ
bracis-33563	1	33	content	content	NOUN
bracis-33563	1	34	advertisement	advertisement	NOUN
bracis-33563	1	35	log	log	NOUN
bracis-33563	1	36	in	in	ADP
bracis-33563	1	37	menu	menu	NOUN
bracis-33563	1	38	find	find	VERB
bracis-33563	1	39	a	a	DET
bracis-33563	1	40	journal	journal	NOUN
bracis-33563	1	41	publish	publish	VERB
bracis-33563	1	42	with	with	ADP
bracis-33563	1	43	us	we	PRON
bracis-33563	1	44	track	track	VERB
bracis-33563	1	45	your	your	PRON
bracis-33563	1	46	research	research	NOUN
bracis-33563	1	47	search	search	NOUN
bracis-33563	1	48	cart	cart	NOUN
bracis-33563	1	49	home	home	NOUN
bracis-33563	1	50	intelligent	intelligent	ADJ
bracis-33563	1	51	systems	system	NOUN
bracis-33563	1	52	conference	conference	NOUN
bracis-33563	1	53	paper	paper	NOUN
bracis-33563	1	54	baswe	baswe	NOUN
bracis-33563	1	55	:	:	PUNCT
bracis-33563	1	56	balanced	balanced	ADJ
bracis-33563	1	57	accuracy	accuracy	NOUN
bracis-33563	1	58	-	-	PUNCT
bracis-33563	1	59	based	base	VERB
bracis-33563	1	60	sliding	slide	VERB
bracis-33563	1	61	window	window	NOUN
bracis-33563	1	62	ensemble	ensemble	ADJ
bracis-33563	1	63	for	for	ADP
bracis-33563	1	64	 	 	SPACE
bracis-33563	1	65	classification	classification	NOUN
bracis-33563	1	66	in	in	ADP
bracis-33563	1	67	 	 	SPACE
bracis-33563	1	68	imbalanced	imbalanced	ADJ
bracis-33563	1	69	data	data	NOUN
bracis-33563	1	70	streams	stream	NOUN
bracis-33563	1	71	with	with	ADP
bracis-33563	1	72	 	 	SPACE
bracis-33563	1	73	concept	concept	NOUN
bracis-33563	1	74	drift	drift	NOUN
bracis-33563	1	75	conference	conference	NOUN
bracis-33563	1	76	paper	paper	NOUN
bracis-33563	1	77	first	first	ADV
bracis-33563	1	78	online	online	ADV
bracis-33563	1	79	:	:	PUNCT
bracis-33563	1	80	30	30	NUM
bracis-33563	1	81	january	january	NOUN
bracis-33563	1	82	2025	2025	NUM
bracis-33563	2	1	pp	pp	ADP
bracis-33563	2	2	231–246	231–246	PROPN
bracis-33563	2	3	cite	cite	VERB
bracis-33563	2	4	this	this	DET
bracis-33563	2	5	conference	conference	NOUN
bracis-33563	2	6	paper	paper	NOUN
bracis-33563	2	7	access	access	NOUN
bracis-33563	2	8	provided	provide	VERB
bracis-33563	2	9	by	by	ADP
bracis-33563	2	10	university	university	PROPN
bracis-33563	2	11	of	of	ADP
bracis-33563	2	12	notre	notre	PROPN
bracis-33563	2	13	dame	dame	PROPN
bracis-33563	2	14	hesburgh	hesburgh	PROPN
bracis-33563	2	15	library	library	PROPN
bracis-33563	2	16	download	download	PROPN
bracis-33563	2	17	book	book	NOUN
bracis-33563	2	18	pdf	pdf	PROPN
bracis-33563	2	19	download	download	NOUN
bracis-33563	2	20	book	book	NOUN
bracis-33563	2	21	epub	epub	PROPN
bracis-33563	2	22	intelligent	intelligent	ADJ
bracis-33563	2	23	systems	system	NOUN
bracis-33563	2	24	(	(	PUNCT
bracis-33563	2	25	bracis	bracis	NOUN
bracis-33563	2	26	2024	2024	NUM
bracis-33563	2	27	)	)	PUNCT
bracis-33563	2	28	baswe	baswe	NOUN
bracis-33563	2	29	:	:	PUNCT
bracis-33563	2	30	balanced	balanced	ADJ
bracis-33563	2	31	accuracy	accuracy	NOUN
bracis-33563	2	32	-	-	PUNCT
bracis-33563	2	33	based	base	VERB
bracis-33563	2	34	sliding	slide	VERB
bracis-33563	2	35	window	window	NOUN
bracis-33563	2	36	ensemble	ensemble	ADJ
bracis-33563	2	37	for	for	ADP
bracis-33563	2	38	 	 	SPACE
bracis-33563	2	39	classification	classification	NOUN
bracis-33563	2	40	in	in	ADP
bracis-33563	2	41	 	 	SPACE
bracis-33563	2	42	imbalanced	imbalanced	ADJ
bracis-33563	2	43	data	data	NOUN
bracis-33563	2	44	streams	stream	NOUN
bracis-33563	2	45	with	with	ADP
bracis-33563	2	46	 	 	SPACE
bracis-33563	2	47	concept	concept	NOUN
bracis-33563	2	48	drift	drift	NOUN
bracis-33563	2	49	download	download	NOUN
bracis-33563	2	50	book	book	NOUN
bracis-33563	2	51	pdf	pdf	PROPN
bracis-33563	2	52	download	download	NOUN
bracis-33563	2	53	book	book	PROPN
bracis-33563	2	54	epub	epub	PROPN
bracis-33563	2	55	douglas	douglas	PROPN
bracis-33563	2	56	amorim	amorim	PROPN
bracis-33563	2	57	de	de	PROPN
bracis-33563	2	58	oliveira	oliveira	PROPN
bracis-33563	2	59	  	  	SPACE
bracis-33563	2	60	orcid	orcid	NOUN
bracis-33563	2	61	:	:	PUNCT
bracis-33563	2	62	orcid.org/0009-0009-3476-32029	orcid.org/0009-0009-3476-32029	PROPN
bracis-33563	2	63	,	,	PUNCT
bracis-33563	2	64	karina	karina	PROPN
bracis-33563	2	65	valdivia	valdivia	PROPN
bracis-33563	2	66	delgado	delgado	PROPN
bracis-33563	2	67	  	  	SPACE
bracis-33563	2	68	orcid	orcid	PROPN
bracis-33563	2	69	:	:	PUNCT
bracis-33563	2	70	orcid.org/0000-0002-9120-89879	orcid.org/0000-0002-9120-89879	PROPN
bracis-33563	2	71	&	&	CCONJ
bracis-33563	2	72	marcelo	marcelo	PROPN
bracis-33563	2	73	de	de	PROPN
bracis-33563	2	74	souza	souza	PROPN
bracis-33563	2	75	lauretto	lauretto	PROPN
bracis-33563	2	76	  	  	SPACE
bracis-33563	2	77	orcid	orcid	NOUN
bracis-33563	2	78	:	:	PUNCT
bracis-33563	2	79	orcid.org/0000-0001-5507-23689	orcid.org/0000-0001-5507-23689	NOUN
bracis-33563	2	80	  	  	SPACE
bracis-33563	2	81	part	part	NOUN
bracis-33563	2	82	of	of	ADP
bracis-33563	2	83	the	the	DET
bracis-33563	2	84	book	book	NOUN
bracis-33563	2	85	series	series	NOUN
bracis-33563	2	86	:	:	PUNCT
bracis-33563	2	87	lecture	lecture	NOUN
bracis-33563	2	88	notes	note	NOUN
bracis-33563	2	89	in	in	ADP
bracis-33563	2	90	computer	computer	NOUN
bracis-33563	2	91	science	science	NOUN
bracis-33563	2	92	(	(	PUNCT
bracis-33563	2	93	(	(	PUNCT
bracis-33563	2	94	lnai	lnai	ADJ
bracis-33563	2	95	,	,	PUNCT
bracis-33563	2	96	volume	volume	NOUN
bracis-33563	2	97	15412	15412	NUM
bracis-33563	2	98	)	)	PUNCT
bracis-33563	2	99	)	)	PUNCT
bracis-33563	2	100	included	include	VERB
bracis-33563	2	101	in	in	ADP
bracis-33563	2	102	the	the	DET
bracis-33563	2	103	following	follow	VERB
bracis-33563	2	104	conference	conference	NOUN
bracis-33563	2	105	series	series	NOUN
bracis-33563	2	106	:	:	PUNCT
bracis-33563	2	107	brazilian	brazilian	ADJ
bracis-33563	2	108	conference	conference	NOUN
bracis-33563	2	109	on	on	ADP
bracis-33563	2	110	intelligent	intelligent	ADJ
bracis-33563	2	111	systems	system	NOUN
bracis-33563	2	112	507	507	NUM
bracis-33563	2	113	accesses	access	NOUN
bracis-33563	2	114	1	1	NUM
bracis-33563	2	115	citation	citation	NOUN
bracis-33563	2	116	abstract	abstract	NOUN
bracis-33563	2	117	in	in	ADP
bracis-33563	2	118	the	the	DET
bracis-33563	2	119	wake	wake	NOUN
bracis-33563	2	120	of	of	ADP
bracis-33563	2	121	the	the	DET
bracis-33563	2	122	exponential	exponential	ADJ
bracis-33563	2	123	growth	growth	NOUN
bracis-33563	2	124	in	in	ADP
bracis-33563	2	125	data	data	NOUN
bracis-33563	2	126	generation	generation	NOUN
bracis-33563	2	127	witnessed	witness	VERB
bracis-33563	2	128	in	in	ADP
bracis-33563	2	129	recent	recent	ADJ
bracis-33563	2	130	decades	decade	NOUN
bracis-33563	2	131	,	,	PUNCT
bracis-33563	2	132	the	the	DET
bracis-33563	2	133	binary	binary	ADJ
bracis-33563	2	134	classification	classification	NOUN
bracis-33563	2	135	task	task	NOUN
bracis-33563	2	136	within	within	ADP
bracis-33563	2	137	data	data	NOUN
bracis-33563	2	138	streams	stream	NOUN
bracis-33563	2	139	presents	present	VERB
bracis-33563	2	140	inherent	inherent	ADJ
bracis-33563	2	141	challenges	challenge	NOUN
bracis-33563	2	142	due	due	ADP
bracis-33563	2	143	to	to	ADP
bracis-33563	2	144	their	their	PRON
bracis-33563	2	145	continuous	continuous	ADJ
bracis-33563	2	146	,	,	PUNCT
bracis-33563	2	147	real	real	ADJ
bracis-33563	2	148	-	-	PUNCT
bracis-33563	2	149	time	time	NOUN
bracis-33563	2	150	flow	flow	NOUN
bracis-33563	2	151	and	and	CCONJ
bracis-33563	2	152	dynamic	dynamic	ADJ
bracis-33563	2	153	nature	nature	NOUN
bracis-33563	2	154	.	.	PUNCT
bracis-33563	3	1	this	this	DET
bracis-33563	3	2	paper	paper	NOUN
bracis-33563	3	3	introduces	introduce	VERB
bracis-33563	3	4	the	the	DET
bracis-33563	3	5	balanced	balanced	ADJ
bracis-33563	3	6	accuracy	accuracy	NOUN
bracis-33563	3	7	-	-	PUNCT
bracis-33563	3	8	based	base	VERB
bracis-33563	3	9	sliding	slide	VERB
bracis-33563	3	10	window	window	NOUN
bracis-33563	3	11	ensemble	ensemble	ADJ
bracis-33563	3	12	(	(	PUNCT
bracis-33563	3	13	baswe	baswe	NOUN
bracis-33563	3	14	)	)	PUNCT
bracis-33563	3	15	algorithm	algorithm	NOUN
bracis-33563	3	16	that	that	PRON
bracis-33563	3	17	leverages	leverage	VERB
bracis-33563	3	18	balanced	balanced	ADJ
bracis-33563	3	19	accuracy	accuracy	NOUN
bracis-33563	3	20	,	,	PUNCT
bracis-33563	3	21	sliding	slide	VERB
bracis-33563	3	22	windows	window	NOUN
bracis-33563	3	23	,	,	PUNCT
bracis-33563	3	24	and	and	CCONJ
bracis-33563	3	25	resampling	resample	VERB
bracis-33563	3	26	techniques	technique	NOUN
bracis-33563	3	27	to	to	PART
bracis-33563	3	28	effectively	effectively	ADV
bracis-33563	3	29	handle	handle	VERB
bracis-33563	3	30	imbalanced	imbalanced	ADJ
bracis-33563	3	31	classes	class	NOUN
bracis-33563	3	32	and	and	CCONJ
bracis-33563	3	33	concept	concept	NOUN
bracis-33563	3	34	drifts	drift	NOUN
bracis-33563	3	35	,	,	PUNCT
bracis-33563	3	36	ensuring	ensure	VERB
bracis-33563	3	37	robust	robust	ADJ
bracis-33563	3	38	performance	performance	NOUN
bracis-33563	3	39	even	even	ADV
bracis-33563	3	40	as	as	SCONJ
bracis-33563	3	41	data	data	NOUN
bracis-33563	3	42	patterns	pattern	NOUN
bracis-33563	3	43	evolve	evolve	VERB
bracis-33563	3	44	.	.	PUNCT
bracis-33563	4	1	in	in	ADP
bracis-33563	4	2	experiments	experiment	NOUN
bracis-33563	4	3	conducted	conduct	VERB
bracis-33563	4	4	on	on	ADP
bracis-33563	4	5	40	40	NUM
bracis-33563	4	6	datasets	dataset	NOUN
bracis-33563	4	7	,	,	PUNCT
bracis-33563	4	8	comprising	comprise	VERB
bracis-33563	4	9	16	16	NUM
bracis-33563	4	10	real	real	ADJ
bracis-33563	4	11	-	-	PUNCT
bracis-33563	4	12	world	world	NOUN
bracis-33563	4	13	and	and	CCONJ
bracis-33563	4	14	24	24	NUM
bracis-33563	4	15	synthetic	synthetic	ADJ
bracis-33563	4	16	datasets	dataset	NOUN
bracis-33563	4	17	generated	generate	VERB
bracis-33563	4	18	under	under	ADP
bracis-33563	4	19	three	three	NUM
bracis-33563	4	20	configurations	configuration	NOUN
bracis-33563	4	21	-	-	PUNCT
bracis-33563	4	22	no	no	DET
bracis-33563	4	23	drift	drift	NOUN
bracis-33563	4	24	,	,	PUNCT
bracis-33563	4	25	gradual	gradual	ADJ
bracis-33563	4	26	drift	drift	NOUN
bracis-33563	4	27	,	,	PUNCT
bracis-33563	4	28	and	and	CCONJ
bracis-33563	4	29	sudden	sudden	ADJ
bracis-33563	4	30	drift	drift	NOUN
bracis-33563	4	31	-	-	PUNCT
bracis-33563	4	32	and	and	CCONJ
bracis-33563	4	33	with	with	ADP
bracis-33563	4	34	varying	vary	VERB
bracis-33563	4	35	imbalance	imbalance	NOUN
bracis-33563	4	36	ratios	ratio	NOUN
bracis-33563	4	37	,	,	PUNCT
bracis-33563	4	38	baswe	baswe	NOUN
bracis-33563	4	39	demonstrated	demonstrate	VERB
bracis-33563	4	40	superior	superior	ADJ
bracis-33563	4	41	performance	performance	NOUN
bracis-33563	4	42	compared	compare	VERB
bracis-33563	4	43	to	to	ADP
bracis-33563	4	44	seven	seven	NUM
bracis-33563	4	45	other	other	ADJ
bracis-33563	4	46	state	state	NOUN
bracis-33563	4	47	-	-	PUNCT
bracis-33563	4	48	of	of	ADP
bracis-33563	4	49	-	-	PUNCT
bracis-33563	4	50	the	the	DET
bracis-33563	4	51	-	-	PUNCT
bracis-33563	4	52	art	art	NOUN
bracis-33563	4	53	algorithms	algorithm	NOUN
bracis-33563	4	54	in	in	ADP
bracis-33563	4	55	terms	term	NOUN
bracis-33563	4	56	of	of	ADP
bracis-33563	4	57	f1	f1	ADJ
bracis-33563	4	58	score	score	NOUN
bracis-33563	4	59	and	and	CCONJ
bracis-33563	4	60	the	the	DET
bracis-33563	4	61	kappa	kappa	PROPN
bracis-33563	4	62	statistic	statistic	PROPN
bracis-33563	4	63	.	.	PUNCT
bracis-33563	5	1	access	access	NOUN
bracis-33563	5	2	provided	provide	VERB
bracis-33563	5	3	by	by	ADP
bracis-33563	5	4	university	university	PROPN
bracis-33563	5	5	of	of	ADP
bracis-33563	5	6	notre	notre	PROPN
bracis-33563	5	7	dame	dame	PROPN
bracis-33563	5	8	hesburgh	hesburgh	PROPN
bracis-33563	5	9	library	library	PROPN
bracis-33563	5	10	.	.	PUNCT
bracis-33563	6	1	download	download	PROPN
bracis-33563	6	2	conference	conference	NOUN
bracis-33563	6	3	paper	paper	NOUN
bracis-33563	6	4	pdf	pdf	NOUN
bracis-33563	6	5	similar	similar	ADJ
bracis-33563	6	6	content	content	NOUN
bracis-33563	6	7	being	be	AUX
bracis-33563	6	8	viewed	view	VERB
bracis-33563	6	9	by	by	ADP
bracis-33563	6	10	others	other	NOUN
bracis-33563	6	11	multi	multi	ADJ
bracis-33563	6	12	-	-	NOUN
bracis-33563	6	13	window	window	NOUN
bracis-33563	6	14	based	base	VERB
bracis-33563	6	15	ensemble	ensemble	ADJ
bracis-33563	6	16	learning	learning	NOUN
bracis-33563	6	17	for	for	ADP
bracis-33563	6	18	classification	classification	NOUN
bracis-33563	6	19	of	of	ADP
bracis-33563	6	20	imbalanced	imbalanced	ADJ
bracis-33563	6	21	streaming	streaming	NOUN
bracis-33563	6	22	data	datum	NOUN
bracis-33563	6	23	article	article	NOUN
bracis-33563	6	24	08	08	NUM
bracis-33563	6	25	march	march	PROPN
bracis-33563	6	26	2017	2017	NUM
bracis-33563	6	27	rose	rise	VERB
bracis-33563	6	28	:	:	PUNCT
bracis-33563	6	29	robust	robust	ADJ
bracis-33563	6	30	online	online	ADJ
bracis-33563	6	31	self	self	NOUN
bracis-33563	6	32	-	-	PUNCT
bracis-33563	6	33	adjusting	adjust	VERB
bracis-33563	6	34	ensemble	ensemble	ADJ
bracis-33563	6	35	for	for	ADP
bracis-33563	6	36	continual	continual	ADJ
bracis-33563	6	37	learning	learning	NOUN
bracis-33563	6	38	on	on	ADP
bracis-33563	6	39	imbalanced	imbalanced	ADJ
bracis-33563	6	40	drifting	drift	VERB
bracis-33563	6	41	data	datum	NOUN
bracis-33563	6	42	streams	stream	NOUN
bracis-33563	6	43	article	article	NOUN
bracis-33563	6	44	20	20	NUM
bracis-33563	6	45	april	april	PROPN
bracis-33563	6	46	2022	2022	NUM
bracis-33563	6	47	ensemble	ensemble	ADJ
bracis-33563	6	48	framework	framework	NOUN
bracis-33563	6	49	for	for	ADP
bracis-33563	6	50	concept	concept	NOUN
bracis-33563	6	51	drift	drift	NOUN
bracis-33563	6	52	detection	detection	NOUN
bracis-33563	6	53	and	and	CCONJ
bracis-33563	6	54	class	class	NOUN
bracis-33563	6	55	imbalance	imbalance	NOUN
bracis-33563	6	56	in	in	ADP
bracis-33563	6	57	data	data	NOUN
bracis-33563	6	58	streams	streams	NOUN
bracis-33563	6	59	article	article	NOUN
bracis-33563	6	60	04	04	NUM
bracis-33563	6	61	may	may	AUX
bracis-33563	6	62	2024	2024	NUM
bracis-33563	6	63	1	1	NUM
bracis-33563	6	64	introduction	introduction	NOUN
bracis-33563	6	65	the	the	DET
bracis-33563	6	66	rapid	rapid	ADJ
bracis-33563	6	67	increase	increase	NOUN
bracis-33563	6	68	in	in	ADP
bracis-33563	6	69	data	data	NOUN
bracis-33563	6	70	generation	generation	NOUN
bracis-33563	6	71	has	have	AUX
bracis-33563	6	72	led	lead	VERB
bracis-33563	6	73	to	to	ADP
bracis-33563	6	74	the	the	DET
bracis-33563	6	75	emergence	emergence	NOUN
bracis-33563	6	76	of	of	ADP
bracis-33563	6	77	data	datum	NOUN
bracis-33563	6	78	streams	stream	NOUN
bracis-33563	6	79	,	,	PUNCT
bracis-33563	6	80	characterized	characterize	VERB
bracis-33563	6	81	by	by	ADP
bracis-33563	6	82	continuous	continuous	ADJ
bracis-33563	6	83	,	,	PUNCT
bracis-33563	6	84	real	real	ADJ
bracis-33563	6	85	-	-	PUNCT
bracis-33563	6	86	time	time	NOUN
bracis-33563	6	87	data	datum	NOUN
bracis-33563	6	88	flow	flow	NOUN
bracis-33563	6	89	that	that	PRON
bracis-33563	6	90	challenges	challenge	VERB
bracis-33563	6	91	the	the	DET
bracis-33563	6	92	static	static	ADJ
bracis-33563	6	93	nature	nature	NOUN
bracis-33563	6	94	of	of	ADP
bracis-33563	6	95	traditional	traditional	ADJ
bracis-33563	6	96	datasets	dataset	NOUN
bracis-33563	6	97	[	[	X
bracis-33563	6	98	2	2	NUM
bracis-33563	6	99	,	,	PUNCT
bracis-33563	6	100	11	11	NUM
bracis-33563	6	101	]	]	PUNCT
bracis-33563	6	102	.	.	PUNCT
bracis-33563	7	1	in	in	ADP
bracis-33563	7	2	supervised	supervised	ADJ
bracis-33563	7	3	learning	learning	NOUN
bracis-33563	7	4	tasks	task	NOUN
bracis-33563	7	5	,	,	PUNCT
bracis-33563	7	6	this	this	DET
bracis-33563	7	7	dynamic	dynamic	ADJ
bracis-33563	7	8	environment	environment	NOUN
bracis-33563	7	9	presents	present	VERB
bracis-33563	7	10	the	the	DET
bracis-33563	7	11	dual	dual	ADJ
bracis-33563	7	12	issues	issue	NOUN
bracis-33563	7	13	of	of	ADP
bracis-33563	7	14	concept	concept	NOUN
bracis-33563	7	15	drift	drift	NOUN
bracis-33563	7	16	,	,	PUNCT
bracis-33563	7	17	also	also	ADV
bracis-33563	7	18	known	know	VERB
bracis-33563	7	19	as	as	ADP
bracis-33563	7	20	data	data	NOUN
bracis-33563	7	21	shift	shift	NOUN
bracis-33563	7	22	[	[	X
bracis-33563	7	23	3	3	NUM
bracis-33563	7	24	]	]	PUNCT
bracis-33563	7	25	,	,	PUNCT
bracis-33563	7	26	where	where	SCONJ
bracis-33563	7	27	underlying	underlie	VERB
bracis-33563	7	28	data	data	NOUN
bracis-33563	7	29	distributions	distribution	NOUN
bracis-33563	7	30	shift	shift	VERB
bracis-33563	7	31	over	over	ADP
bracis-33563	7	32	time	time	NOUN
bracis-33563	7	33	,	,	PUNCT
bracis-33563	7	34	and	and	CCONJ
bracis-33563	7	35	class	class	NOUN
bracis-33563	7	36	imbalance	imbalance	NOUN
bracis-33563	7	37	,	,	PUNCT
bracis-33563	7	38	where	where	SCONJ
bracis-33563	7	39	one	one	NUM
bracis-33563	7	40	class	class	NOUN
bracis-33563	7	41	vastly	vastly	ADV
bracis-33563	7	42	outnumbers	outnumber	VERB
bracis-33563	7	43	the	the	DET
bracis-33563	7	44	others	other	NOUN
bracis-33563	7	45	.	.	PUNCT
bracis-33563	8	1	in	in	ADP
bracis-33563	8	2	data	data	NOUN
bracis-33563	8	3	streams	stream	NOUN
bracis-33563	8	4	,	,	PUNCT
bracis-33563	8	5	this	this	DET
bracis-33563	8	6	imbalance	imbalance	NOUN
bracis-33563	8	7	is	be	AUX
bracis-33563	8	8	not	not	PART
bracis-33563	8	9	static	static	ADJ
bracis-33563	8	10	but	but	CCONJ
bracis-33563	8	11	can	can	AUX
bracis-33563	8	12	also	also	ADV
bracis-33563	8	13	evolve	evolve	VERB
bracis-33563	8	14	,	,	PUNCT
bracis-33563	8	15	intensifying	intensify	VERB
bracis-33563	8	16	the	the	DET
bracis-33563	8	17	difficulty	difficulty	NOUN
bracis-33563	8	18	of	of	ADP
bracis-33563	8	19	the	the	DET
bracis-33563	8	20	learning	learning	NOUN
bracis-33563	8	21	task	task	NOUN
bracis-33563	8	22	.	.	PUNCT
bracis-33563	9	1	the	the	DET
bracis-33563	9	2	interplay	interplay	NOUN
bracis-33563	9	3	between	between	ADP
bracis-33563	9	4	the	the	DET
bracis-33563	9	5	dynamic	dynamic	ADJ
bracis-33563	9	6	nature	nature	NOUN
bracis-33563	9	7	of	of	ADP
bracis-33563	9	8	imbalance	imbalance	NOUN
bracis-33563	9	9	and	and	CCONJ
bracis-33563	9	10	the	the	DET
bracis-33563	9	11	shifting	shift	VERB
bracis-33563	9	12	paradigms	paradigm	NOUN
bracis-33563	9	13	of	of	ADP
bracis-33563	9	14	concept	concept	NOUN
bracis-33563	9	15	drift	drift	NOUN
bracis-33563	9	16	demands	demand	VERB
bracis-33563	9	17	a	a	DET
bracis-33563	9	18	rethinking	rethinking	NOUN
bracis-33563	9	19	of	of	ADP
bracis-33563	9	20	traditional	traditional	ADJ
bracis-33563	9	21	approaches	approach	NOUN
bracis-33563	9	22	to	to	PART
bracis-33563	9	23	maintain	maintain	VERB
bracis-33563	9	24	classifier	classifier	ADJ
bracis-33563	9	25	performance	performance	NOUN
bracis-33563	9	26	[	[	X
bracis-33563	9	27	12	12	NUM
bracis-33563	9	28	,	,	PUNCT
bracis-33563	9	29	15	15	NUM
bracis-33563	9	30	]	]	PUNCT
bracis-33563	9	31	.	.	PUNCT
bracis-33563	10	1	many	many	ADJ
bracis-33563	10	2	algorithms	algorithm	NOUN
bracis-33563	10	3	have	have	AUX
bracis-33563	10	4	been	be	AUX
bracis-33563	10	5	proposed	propose	VERB
bracis-33563	10	6	to	to	PART
bracis-33563	10	7	address	address	VERB
bracis-33563	10	8	the	the	DET
bracis-33563	10	9	challenges	challenge	NOUN
bracis-33563	10	10	in	in	ADP
bracis-33563	10	11	data	datum	NOUN
bracis-33563	10	12	streams	stream	NOUN
bracis-33563	10	13	classification	classification	NOUN
bracis-33563	10	14	with	with	ADP
bracis-33563	10	15	imbalanced	imbalanced	ADJ
bracis-33563	10	16	data	datum	NOUN
bracis-33563	10	17	,	,	PUNCT
bracis-33563	10	18	such	such	ADJ
bracis-33563	10	19	as	as	ADP
bracis-33563	10	20	calmid	calmid	ADJ
bracis-33563	10	21	 	 	SPACE
bracis-33563	11	1	[	[	X
bracis-33563	11	2	17	17	NUM
bracis-33563	11	3	]	]	PUNCT
bracis-33563	11	4	,	,	PUNCT
bracis-33563	11	5	csarf	csarf	PROPN
bracis-33563	11	6	 	 	SPACE
bracis-33563	12	1	[	[	X
bracis-33563	12	2	18	18	NUM
bracis-33563	12	3	]	]	PUNCT
bracis-33563	12	4	,	,	PUNCT
bracis-33563	12	5	rose	rise	VERB
bracis-33563	12	6	 	 	SPACE
bracis-33563	13	1	[	[	X
bracis-33563	13	2	8	8	NUM
bracis-33563	13	3	]	]	PUNCT
bracis-33563	13	4	,	,	PUNCT
bracis-33563	13	5	oob	oob	VERB
bracis-33563	13	6	 	 	SPACE
bracis-33563	14	1	[	[	X
bracis-33563	14	2	19	19	NUM
bracis-33563	14	3	]	]	PUNCT
bracis-33563	14	4	,	,	PUNCT
bracis-33563	14	5	smote	smote	VERB
bracis-33563	14	6	-	-	PUNCT
bracis-33563	14	7	ob	ob	NOUN
bracis-33563	14	8	 	 	SPACE
bracis-33563	14	9	[	[	X
bracis-33563	14	10	4	4	NUM
bracis-33563	14	11	]	]	PUNCT
bracis-33563	14	12	and	and	CCONJ
bracis-33563	14	13	uob	uob	NOUN
bracis-33563	14	14	 	 	SPACE
bracis-33563	14	15	[	[	X
bracis-33563	14	16	19	19	NUM
bracis-33563	14	17	]	]	PUNCT
bracis-33563	14	18	.	.	PUNCT
bracis-33563	15	1	four	four	NUM
bracis-33563	15	2	of	of	ADP
bracis-33563	15	3	these	these	DET
bracis-33563	15	4	algorithms	algorithm	NOUN
bracis-33563	15	5	,	,	PUNCT
bracis-33563	15	6	calmid	calmid	ADJ
bracis-33563	15	7	,	,	PUNCT
bracis-33563	15	8	csarf	csarf	NOUN
bracis-33563	15	9	,	,	PUNCT
bracis-33563	15	10	rose	rise	VERB
bracis-33563	15	11	,	,	PUNCT
bracis-33563	15	12	and	and	CCONJ
bracis-33563	15	13	smote	smote	ADJ
bracis-33563	15	14	-	-	PUNCT
bracis-33563	15	15	ob	ob	NOUN
bracis-33563	15	16	,	,	PUNCT
bracis-33563	15	17	implement	implement	VERB
bracis-33563	15	18	an	an	DET
bracis-33563	15	19	explicit	explicit	ADJ
bracis-33563	15	20	approaches	approach	NOUN
bracis-33563	15	21	to	to	PART
bracis-33563	15	22	handle	handle	VERB
bracis-33563	15	23	concept	concept	NOUN
bracis-33563	15	24	drift	drift	NOUN
bracis-33563	15	25	.	.	PUNCT
bracis-33563	16	1	csarf	csarf	PROPN
bracis-33563	16	2	,	,	PUNCT
bracis-33563	16	3	rose	rise	VERB
bracis-33563	16	4	,	,	PUNCT
bracis-33563	16	5	oob	oob	VERB
bracis-33563	16	6	,	,	PUNCT
bracis-33563	16	7	and	and	CCONJ
bracis-33563	16	8	uob	uob	PROPN
bracis-33563	16	9	implement	implement	VERB
bracis-33563	16	10	an	an	DET
bracis-33563	16	11	ensemble	ensemble	ADJ
bracis-33563	16	12	approach	approach	NOUN
bracis-33563	16	13	to	to	PART
bracis-33563	16	14	handle	handle	VERB
bracis-33563	16	15	imbalanced	imbalanced	ADJ
bracis-33563	16	16	data	datum	NOUN
bracis-33563	16	17	.	.	PUNCT
bracis-33563	17	1	additionally	additionally	ADV
bracis-33563	17	2	,	,	PUNCT
bracis-33563	17	3	csarf	csarf	NOUN
bracis-33563	17	4	also	also	ADV
bracis-33563	17	5	implements	implement	VERB
bracis-33563	17	6	a	a	DET
bracis-33563	17	7	cost	cost	NOUN
bracis-33563	17	8	-	-	PUNCT
bracis-33563	17	9	sensitive	sensitive	ADJ
bracis-33563	17	10	approach	approach	NOUN
bracis-33563	17	11	.	.	PUNCT
bracis-33563	18	1	one	one	NUM
bracis-33563	18	2	ensemble	ensemble	ADJ
bracis-33563	18	3	algorithm	algorithm	NOUN
bracis-33563	18	4	that	that	PRON
bracis-33563	18	5	showed	show	VERB
bracis-33563	18	6	robust	robust	ADJ
bracis-33563	18	7	results	result	NOUN
bracis-33563	18	8	for	for	ADP
bracis-33563	18	9	binary	binary	ADJ
bracis-33563	18	10	classification	classification	NOUN
bracis-33563	18	11	in	in	ADP
bracis-33563	18	12	data	datum	NOUN
bracis-33563	18	13	streams	stream	NOUN
bracis-33563	18	14	with	with	ADP
bracis-33563	18	15	concept	concept	NOUN
bracis-33563	18	16	drift	drift	NOUN
bracis-33563	18	17	is	be	AUX
bracis-33563	18	18	the	the	DET
bracis-33563	18	19	kappa	kappa	PROPN
bracis-33563	18	20	updated	update	VERB
bracis-33563	18	21	ensemble	ensemble	ADJ
bracis-33563	18	22	(	(	PUNCT
bracis-33563	18	23	kue	kue	NOUN
bracis-33563	18	24	)	)	PUNCT
bracis-33563	19	1	[	[	X
bracis-33563	19	2	7	7	NUM
bracis-33563	19	3	]	]	PUNCT
bracis-33563	19	4	.	.	PUNCT
bracis-33563	20	1	by	by	ADP
bracis-33563	20	2	implementing	implement	VERB
bracis-33563	20	3	the	the	DET
bracis-33563	20	4	very	very	ADV
bracis-33563	20	5	fast	fast	ADJ
bracis-33563	20	6	decision	decision	NOUN
bracis-33563	20	7	tree	tree	NOUN
bracis-33563	20	8	(	(	PUNCT
bracis-33563	20	9	vfdt	vfdt	NOUN
bracis-33563	20	10	)	)	PUNCT
bracis-33563	21	1	[	[	X
bracis-33563	21	2	13	13	NUM
bracis-33563	21	3	]	]	PUNCT
bracis-33563	21	4	algorithm	algorithm	NOUN
bracis-33563	21	5	as	as	ADP
bracis-33563	21	6	a	a	DET
bracis-33563	21	7	basis	basis	NOUN
bracis-33563	21	8	for	for	ADP
bracis-33563	21	9	its	its	PRON
bracis-33563	21	10	experts	expert	NOUN
bracis-33563	21	11	and	and	CCONJ
bracis-33563	21	12	creating	create	VERB
bracis-33563	21	13	policies	policy	NOUN
bracis-33563	21	14	for	for	ADP
bracis-33563	21	15	model	model	NOUN
bracis-33563	21	16	updates	update	NOUN
bracis-33563	21	17	,	,	PUNCT
bracis-33563	21	18	vote	vote	NOUN
bracis-33563	21	19	abstention	abstention	NOUN
bracis-33563	21	20	,	,	PUNCT
bracis-33563	21	21	and	and	CCONJ
bracis-33563	21	22	model	model	NOUN
bracis-33563	21	23	assessment	assessment	NOUN
bracis-33563	21	24	using	use	VERB
bracis-33563	21	25	the	the	DET
bracis-33563	21	26	kappa	kappa	PROPN
bracis-33563	21	27	statistic	statistic	PROPN
bracis-33563	21	28	,	,	PUNCT
bracis-33563	21	29	the	the	DET
bracis-33563	21	30	kue	kue	NOUN
bracis-33563	21	31	outperformed	outperform	VERB
bracis-33563	21	32	other	other	ADJ
bracis-33563	21	33	state	state	NOUN
bracis-33563	21	34	-	-	PUNCT
bracis-33563	21	35	of	of	ADP
bracis-33563	21	36	-	-	PUNCT
bracis-33563	21	37	the	the	DET
bracis-33563	21	38	-	-	PUNCT
bracis-33563	21	39	art	art	NOUN
bracis-33563	21	40	algorithms	algorithm	NOUN
bracis-33563	21	41	[	[	X
bracis-33563	21	42	7	7	NUM
bracis-33563	21	43	]	]	PUNCT
bracis-33563	21	44	.	.	PUNCT
bracis-33563	22	1	however	however	ADV
bracis-33563	22	2	,	,	PUNCT
bracis-33563	22	3	kue	kue	PROPN
bracis-33563	22	4	was	be	AUX
bracis-33563	22	5	not	not	PART
bracis-33563	22	6	designed	design	VERB
bracis-33563	22	7	for	for	ADP
bracis-33563	22	8	data	datum	NOUN
bracis-33563	22	9	streams	stream	NOUN
bracis-33563	22	10	with	with	ADP
bracis-33563	22	11	imbalanced	imbalanced	ADJ
bracis-33563	22	12	classes	class	NOUN
bracis-33563	22	13	.	.	PUNCT
bracis-33563	23	1	this	this	DET
bracis-33563	23	2	paper	paper	NOUN
bracis-33563	23	3	proposes	propose	VERB
bracis-33563	23	4	an	an	DET
bracis-33563	23	5	algorithm	algorithm	NOUN
bracis-33563	23	6	for	for	ADP
bracis-33563	23	7	binary	binary	ADJ
bracis-33563	23	8	classification	classification	NOUN
bracis-33563	23	9	named	name	VERB
bracis-33563	23	10	the	the	DET
bracis-33563	23	11	balanced	balanced	ADJ
bracis-33563	23	12	accuracy	accuracy	NOUN
bracis-33563	23	13	-	-	PUNCT
bracis-33563	23	14	based	base	VERB
bracis-33563	23	15	sliding	slide	VERB
bracis-33563	23	16	window	window	NOUN
bracis-33563	23	17	ensemble	ensemble	ADJ
bracis-33563	23	18	(	(	PUNCT
bracis-33563	23	19	baswe	baswe	NOUN
bracis-33563	23	20	)	)	PUNCT
bracis-33563	23	21	,	,	PUNCT
bracis-33563	23	22	inspired	inspire	VERB
bracis-33563	23	23	by	by	ADP
bracis-33563	23	24	kue	kue	PROPN
bracis-33563	23	25	.	.	PUNCT
bracis-33563	24	1	baswe	baswe	PROPN
bracis-33563	24	2	uses	use	VERB
bracis-33563	24	3	two	two	NUM
bracis-33563	24	4	sliding	slide	VERB
bracis-33563	24	5	windows	window	NOUN
bracis-33563	24	6	,	,	PUNCT
bracis-33563	24	7	resampling	resample	VERB
bracis-33563	24	8	techniques	technique	NOUN
bracis-33563	24	9	,	,	PUNCT
bracis-33563	24	10	and	and	CCONJ
bracis-33563	24	11	replaces	replace	VERB
bracis-33563	24	12	the	the	DET
bracis-33563	24	13	kappa	kappa	ADJ
bracis-33563	24	14	statistic	statistic	PROPN
bracis-33563	24	15	with	with	ADP
bracis-33563	24	16	the	the	DET
bracis-33563	24	17	balanced	balanced	ADJ
bracis-33563	24	18	accuracy	accuracy	NOUN
bracis-33563	24	19	metric	metric	ADJ
bracis-33563	24	20	in	in	ADP
bracis-33563	24	21	ensemble	ensemble	ADJ
bracis-33563	24	22	updates	update	NOUN
bracis-33563	24	23	.	.	PUNCT
bracis-33563	25	1	these	these	DET
bracis-33563	25	2	modifications	modification	NOUN
bracis-33563	25	3	aim	aim	VERB
bracis-33563	25	4	to	to	PART
bracis-33563	25	5	achieve	achieve	VERB
bracis-33563	25	6	a	a	DET
bracis-33563	25	7	more	more	ADV
bracis-33563	25	8	robust	robust	ADJ
bracis-33563	25	9	ensemble	ensemble	ADJ
bracis-33563	25	10	with	with	ADP
bracis-33563	25	11	higher	high	ADJ
bracis-33563	25	12	performance	performance	NOUN
bracis-33563	25	13	in	in	ADP
bracis-33563	25	14	the	the	DET
bracis-33563	25	15	scenario	scenario	NOUN
bracis-33563	25	16	of	of	ADP
bracis-33563	25	17	classification	classification	NOUN
bracis-33563	25	18	in	in	ADP
bracis-33563	25	19	data	datum	NOUN
bracis-33563	25	20	streams	stream	NOUN
bracis-33563	25	21	with	with	ADP
bracis-33563	25	22	imbalanced	imbalanced	ADJ
bracis-33563	25	23	classes	class	NOUN
bracis-33563	25	24	and	and	CCONJ
bracis-33563	25	25	concept	concept	NOUN
bracis-33563	25	26	drifts	drift	NOUN
bracis-33563	25	27	.	.	PUNCT
bracis-33563	26	1	the	the	DET
bracis-33563	26	2	contributions	contribution	NOUN
bracis-33563	26	3	of	of	ADP
bracis-33563	26	4	this	this	DET
bracis-33563	26	5	work	work	NOUN
bracis-33563	26	6	can	can	AUX
bracis-33563	26	7	be	be	AUX
bracis-33563	26	8	summarized	summarize	VERB
bracis-33563	26	9	as	as	SCONJ
bracis-33563	26	10	follows	follow	VERB
bracis-33563	26	11	:	:	PUNCT
bracis-33563	26	12	introduction	introduction	NOUN
bracis-33563	26	13	of	of	ADP
bracis-33563	26	14	baswe	baswe	NOUN
bracis-33563	26	15	,	,	PUNCT
bracis-33563	26	16	an	an	DET
bracis-33563	26	17	ensemble	ensemble	ADJ
bracis-33563	26	18	algorithm	algorithm	NOUN
bracis-33563	26	19	designed	design	VERB
bracis-33563	26	20	to	to	PART
bracis-33563	26	21	manage	manage	VERB
bracis-33563	26	22	binary	binary	ADJ
bracis-33563	26	23	classification	classification	NOUN
bracis-33563	26	24	in	in	ADP
bracis-33563	26	25	data	datum	NOUN
bracis-33563	26	26	streams	stream	NOUN
bracis-33563	26	27	with	with	ADP
bracis-33563	26	28	imbalanced	imbalanced	ADJ
bracis-33563	26	29	classes	class	NOUN
bracis-33563	26	30	and	and	CCONJ
bracis-33563	26	31	concept	concept	NOUN
bracis-33563	26	32	drift	drift	NOUN
bracis-33563	26	33	.	.	PUNCT
bracis-33563	27	1	the	the	DET
bracis-33563	27	2	adoption	adoption	NOUN
bracis-33563	27	3	of	of	ADP
bracis-33563	27	4	balanced	balanced	ADJ
bracis-33563	27	5	accuracy	accuracy	NOUN
bracis-33563	27	6	as	as	ADP
bracis-33563	27	7	a	a	DET
bracis-33563	27	8	pivotal	pivotal	ADJ
bracis-33563	27	9	metric	metric	NOUN
bracis-33563	27	10	in	in	ADP
bracis-33563	27	11	guiding	guide	VERB
bracis-33563	27	12	ensemble	ensemble	ADJ
bracis-33563	27	13	updates	update	NOUN
bracis-33563	27	14	,	,	PUNCT
bracis-33563	27	15	encompassing	encompass	VERB
bracis-33563	27	16	voting	voting	NOUN
bracis-33563	27	17	strategies	strategy	NOUN
bracis-33563	27	18	,	,	PUNCT
bracis-33563	27	19	model	model	NOUN
bracis-33563	27	20	performance	performance	NOUN
bracis-33563	27	21	measurement	measurement	NOUN
bracis-33563	27	22	,	,	PUNCT
bracis-33563	27	23	and	and	CCONJ
bracis-33563	27	24	expert	expert	NOUN
bracis-33563	27	25	substitution	substitution	NOUN
bracis-33563	27	26	.	.	PUNCT
bracis-33563	28	1	the	the	DET
bracis-33563	28	2	use	use	NOUN
bracis-33563	28	3	of	of	ADP
bracis-33563	28	4	class	class	NOUN
bracis-33563	28	5	-	-	PUNCT
bracis-33563	28	6	specific	specific	NOUN
bracis-33563	28	7	sliding	slide	VERB
bracis-33563	28	8	windows	window	NOUN
bracis-33563	28	9	and	and	CCONJ
bracis-33563	28	10	a	a	DET
bracis-33563	28	11	resampling	resample	VERB
bracis-33563	28	12	step	step	NOUN
bracis-33563	28	13	in	in	ADP
bracis-33563	28	14	pre	pre	ADJ
bracis-33563	28	15	-	-	ADJ
bracis-33563	28	16	processing	processing	ADJ
bracis-33563	28	17	.	.	PUNCT
bracis-33563	29	1	this	this	DET
bracis-33563	29	2	strategy	strategy	NOUN
bracis-33563	29	3	is	be	AUX
bracis-33563	29	4	tailored	tailor	VERB
bracis-33563	29	5	to	to	PART
bracis-33563	29	6	address	address	VERB
bracis-33563	29	7	imbalanced	imbalanced	ADJ
bracis-33563	29	8	data	datum	NOUN
bracis-33563	29	9	streams	stream	NOUN
bracis-33563	29	10	,	,	PUNCT
bracis-33563	29	11	effectively	effectively	ADV
bracis-33563	29	12	reducing	reduce	VERB
bracis-33563	29	13	the	the	DET
bracis-33563	29	14	imbalance	imbalance	NOUN
bracis-33563	29	15	ratio	ratio	NOUN
bracis-33563	29	16	during	during	ADP
bracis-33563	29	17	the	the	DET
bracis-33563	29	18	model	model	NOUN
bracis-33563	29	19	training	training	NOUN
bracis-33563	29	20	phase	phase	NOUN
bracis-33563	29	21	with	with	ADP
bracis-33563	29	22	new	new	ADJ
bracis-33563	29	23	data	data	NOUN
bracis-33563	29	24	chunks	chunk	NOUN
bracis-33563	29	25	.	.	PUNCT
bracis-33563	30	1	a	a	DET
bracis-33563	30	2	comprehensive	comprehensive	ADJ
bracis-33563	30	3	experimental	experimental	ADJ
bracis-33563	30	4	evaluation	evaluation	NOUN
bracis-33563	30	5	comparing	compare	VERB
bracis-33563	30	6	baswe	baswe	NOUN
bracis-33563	30	7	against	against	ADP
bracis-33563	30	8	state	state	NOUN
bracis-33563	30	9	-	-	PUNCT
bracis-33563	30	10	of	of	ADP
bracis-33563	30	11	-	-	PUNCT
bracis-33563	30	12	the	the	DET
bracis-33563	30	13	-	-	PUNCT
bracis-33563	30	14	art	art	NOUN
bracis-33563	30	15	algorithms	algorithm	NOUN
bracis-33563	30	16	.	.	PUNCT
bracis-33563	31	1	2	2	NUM
bracis-33563	31	2	data	datum	NOUN
bracis-33563	31	3	stream	stream	NOUN
bracis-33563	31	4	classification	classification	NOUN
bracis-33563	31	5	data	data	NOUN
bracis-33563	31	6	streams	stream	NOUN
bracis-33563	31	7	can	can	AUX
bracis-33563	31	8	be	be	AUX
bracis-33563	31	9	understood	understand	VERB
bracis-33563	31	10	as	as	ADP
bracis-33563	31	11	data	data	NOUN
bracis-33563	31	12	instances	instance	NOUN
bracis-33563	31	13	generated	generate	VERB
bracis-33563	31	14	at	at	ADP
bracis-33563	31	15	high	high	ADJ
bracis-33563	31	16	speed	speed	NOUN
bracis-33563	31	17	and	and	CCONJ
bracis-33563	31	18	arriving	arrive	VERB
bracis-33563	31	19	continuously	continuously	ADV
bracis-33563	31	20	,	,	PUNCT
bracis-33563	31	21	presenting	present	VERB
bracis-33563	31	22	challenges	challenge	NOUN
bracis-33563	31	23	to	to	ADP
bracis-33563	31	24	computational	computational	ADJ
bracis-33563	31	25	systems	system	NOUN
bracis-33563	31	26	for	for	ADP
bracis-33563	31	27	storage	storage	NOUN
bracis-33563	31	28	and	and	CCONJ
bracis-33563	31	29	processing	processing	NOUN
bracis-33563	31	30	[	[	X
bracis-33563	31	31	10	10	NUM
bracis-33563	31	32	]	]	PUNCT
bracis-33563	31	33	.	.	PUNCT
bracis-33563	32	1	however	however	ADV
bracis-33563	32	2	,	,	PUNCT
bracis-33563	32	3	if	if	SCONJ
bracis-33563	32	4	efficiently	efficiently	ADV
bracis-33563	32	5	analyzed	analyze	VERB
bracis-33563	32	6	,	,	PUNCT
bracis-33563	32	7	they	they	PRON
bracis-33563	32	8	provide	provide	VERB
bracis-33563	32	9	an	an	DET
bracis-33563	32	10	important	important	ADJ
bracis-33563	32	11	source	source	NOUN
bracis-33563	32	12	of	of	ADP
bracis-33563	32	13	information	information	NOUN
bracis-33563	32	14	for	for	ADP
bracis-33563	32	15	real	real	ADJ
bracis-33563	32	16	-	-	PUNCT
bracis-33563	32	17	time	time	NOUN
bracis-33563	32	18	decision	decision	NOUN
bracis-33563	32	19	-	-	PUNCT
bracis-33563	32	20	making	make	VERB
bracis-33563	32	21	support	support	NOUN
bracis-33563	32	22	.	.	PUNCT
bracis-33563	33	1	a	a	DET
bracis-33563	33	2	data	data	NOUN
bracis-33563	33	3	stream	stream	NOUN
bracis-33563	33	4	is	be	AUX
bracis-33563	33	5	characterized	characterize	VERB
bracis-33563	33	6	as	as	ADP
bracis-33563	33	7	a	a	DET
bracis-33563	33	8	sequence	sequence	NOUN
bracis-33563	33	9	denoted	denote	VERB
bracis-33563	33	10	by	by	ADP
bracis-33563	33	11	\	\	PROPN
bracis-33563	33	12	(	(	PUNCT
bracis-33563	33	13	s	s	AUX
bracis-33563	33	14	=	=	VERB
bracis-33563	33	15	\langle	\langle	VERB
bracis-33563	33	16	s_{1	s_{1	PROPN
bracis-33563	33	17	}	}	PUNCT
bracis-33563	33	18	,	,	PUNCT
bracis-33563	33	19	s_{2	s_{2	ADJ
bracis-33563	33	20	}	}	PUNCT
bracis-33563	33	21	,	,	PUNCT
bracis-33563	33	22	\ldots	\ldots	INTJ
bracis-33563	33	23	,	,	PUNCT
bracis-33563	33	24	s_{n	s_{n	ADJ
bracis-33563	33	25	}	}	PUNCT
bracis-33563	33	26	,	,	PUNCT
bracis-33563	33	27	\ldots	\ldots	ADP
bracis-33563	33	28	\rangle	\rangle	PROPN
bracis-33563	33	29	\	\	NOUN
bracis-33563	33	30	)	)	PUNCT
bracis-33563	33	31	,	,	PUNCT
bracis-33563	33	32	where	where	SCONJ
bracis-33563	33	33	each	each	DET
bracis-33563	33	34	\	\	PROPN
bracis-33563	33	35	(	(	PUNCT
bracis-33563	33	36	s_{j	s_{j	NOUN
bracis-33563	33	37	}	}	PUNCT
bracis-33563	33	38	\	\	NOUN
bracis-33563	33	39	)	)	PUNCT
bracis-33563	33	40	represents	represent	VERB
bracis-33563	33	41	a	a	DET
bracis-33563	33	42	collection	collection	NOUN
bracis-33563	33	43	of	of	ADP
bracis-33563	33	44	instances	instance	NOUN
bracis-33563	33	45	with	with	ADP
bracis-33563	33	46	a	a	DET
bracis-33563	33	47	size	size	NOUN
bracis-33563	33	48	\	\	PROPN
bracis-33563	33	49	(	(	PUNCT
bracis-33563	33	50	n	n	CCONJ
bracis-33563	33	51	\ge	\ge	PROPN
bracis-33563	33	52	1	1	NUM
bracis-33563	33	53	\	\	NOUN
bracis-33563	33	54	)	)	PUNCT
bracis-33563	33	55	.	.	PUNCT
bracis-33563	34	1	in	in	ADP
bracis-33563	34	2	the	the	DET
bracis-33563	34	3	particular	particular	ADJ
bracis-33563	34	4	case	case	NOUN
bracis-33563	34	5	where	where	SCONJ
bracis-33563	34	6	\	\	PROPN
bracis-33563	34	7	(	(	PUNCT
bracis-33563	34	8	n=1	n=1	PROPN
bracis-33563	34	9	\	\	PROPN
bracis-33563	34	10	)	)	PUNCT
bracis-33563	34	11	,	,	PUNCT
bracis-33563	34	12	the	the	DET
bracis-33563	34	13	context	context	NOUN
bracis-33563	34	14	is	be	AUX
bracis-33563	34	15	referred	refer	VERB
bracis-33563	34	16	to	to	ADP
bracis-33563	34	17	as	as	ADP
bracis-33563	34	18	online	online	ADJ
bracis-33563	34	19	learning	learning	NOUN
bracis-33563	34	20	[	[	X
bracis-33563	34	21	10	10	NUM
bracis-33563	34	22	]	]	PUNCT
bracis-33563	34	23	,	,	PUNCT
bracis-33563	34	24	otherwise	otherwise	ADV
bracis-33563	34	25	,	,	PUNCT
bracis-33563	34	26	it	it	PRON
bracis-33563	34	27	is	be	AUX
bracis-33563	34	28	called	call	VERB
bracis-33563	34	29	learning	learn	VERB
bracis-33563	34	30	by	by	ADP
bracis-33563	34	31	chunks	chunk	NOUN
bracis-33563	34	32	.	.	PUNCT
bracis-33563	35	1	typically	typically	ADV
bracis-33563	35	2	,	,	PUNCT
bracis-33563	35	3	each	each	DET
bracis-33563	35	4	instance	instance	NOUN
bracis-33563	35	5	\	\	PROPN
bracis-33563	35	6	(	(	PUNCT
bracis-33563	35	7	s_t	s_t	X
bracis-33563	35	8	\	\	NOUN
bracis-33563	35	9	)	)	PUNCT
bracis-33563	35	10	within	within	ADP
bracis-33563	35	11	each	each	DET
bracis-33563	35	12	set	set	VERB
bracis-33563	35	13	\	\	PROPN
bracis-33563	35	14	(	(	PUNCT
bracis-33563	35	15	s_j	s_j	NUM
bracis-33563	35	16	\	\	NOUN
bracis-33563	35	17	)	)	PUNCT
bracis-33563	35	18	is	be	AUX
bracis-33563	35	19	independently	independently	ADV
bracis-33563	35	20	and	and	CCONJ
bracis-33563	35	21	randomly	randomly	ADV
bracis-33563	35	22	produced	produce	VERB
bracis-33563	35	23	following	follow	VERB
bracis-33563	35	24	a	a	DET
bracis-33563	35	25	stationary	stationary	ADJ
bracis-33563	35	26	distribution	distribution	NOUN
bracis-33563	35	27	\	\	PROPN
bracis-33563	35	28	(	(	PUNCT
bracis-33563	35	29	d_{j	d_{j	NOUN
bracis-33563	35	30	}	}	PUNCT
bracis-33563	35	31	\	\	PROPN
bracis-33563	35	32	)	)	PUNCT
bracis-33563	35	33	.	.	PUNCT
bracis-33563	36	1	the	the	DET
bracis-33563	36	2	data	datum	NOUN
bracis-33563	36	3	stream	stream	NOUN
bracis-33563	36	4	classification	classification	NOUN
bracis-33563	36	5	task	task	NOUN
bracis-33563	36	6	aims	aim	VERB
bracis-33563	36	7	to	to	PART
bracis-33563	36	8	predict	predict	VERB
bracis-33563	36	9	the	the	DET
bracis-33563	36	10	correct	correct	ADJ
bracis-33563	36	11	label	label	NOUN
bracis-33563	36	12	\(y_t\	\(y_t\	PROPN
bracis-33563	36	13	)	)	PUNCT
bracis-33563	36	14	,	,	PUNCT
bracis-33563	36	15	for	for	ADP
bracis-33563	36	16	each	each	DET
bracis-33563	36	17	incoming	incoming	ADJ
bracis-33563	36	18	instance	instance	NOUN
bracis-33563	36	19	\(s_t	\(s_t	PROPN
bracis-33563	36	20	\in	\in	PROPN
bracis-33563	36	21	s_j\	s_j\	PROPN
bracis-33563	36	22	)	)	PUNCT
bracis-33563	36	23	.	.	PUNCT
bracis-33563	37	1	each	each	DET
bracis-33563	37	2	instance	instance	NOUN
bracis-33563	37	3	is	be	AUX
bracis-33563	37	4	described	describe	VERB
bracis-33563	37	5	by	by	ADP
bracis-33563	37	6	a	a	DET
bracis-33563	37	7	set	set	NOUN
bracis-33563	37	8	of	of	ADP
bracis-33563	37	9	attributes	attribute	NOUN
bracis-33563	37	10	\(x_t=\{x_{t1	\(x_t=\{x_{t1	NUM
bracis-33563	37	11	}	}	PUNCT
bracis-33563	37	12	,	,	PUNCT
bracis-33563	37	13	x_{t2	x_{t2	PROPN
bracis-33563	37	14	}	}	PUNCT
bracis-33563	37	15	,	,	PUNCT
bracis-33563	37	16	...	...	PUNCT
bracis-33563	37	17	,	,	PUNCT
bracis-33563	37	18	x_{tn}\}\	x_{tn}\}\	PROPN
bracis-33563	37	19	)	)	PUNCT
bracis-33563	37	20	.	.	PUNCT
bracis-33563	38	1	a	a	DET
bracis-33563	38	2	classifier	classifier	NOUN
bracis-33563	38	3	,	,	PUNCT
bracis-33563	38	4	represented	represent	VERB
bracis-33563	38	5	as	as	ADP
bracis-33563	38	6	f	f	PROPN
bracis-33563	38	7	,	,	PUNCT
bracis-33563	38	8	takes	take	VERB
bracis-33563	38	9	the	the	DET
bracis-33563	38	10	set	set	NOUN
bracis-33563	38	11	of	of	ADP
bracis-33563	38	12	instance	instance	NOUN
bracis-33563	38	13	attributes	attribute	VERB
bracis-33563	38	14	\(x_t\	\(x_t\	ADJ
bracis-33563	38	15	)	)	PUNCT
bracis-33563	38	16	as	as	ADP
bracis-33563	38	17	input	input	NOUN
bracis-33563	38	18	and	and	CCONJ
bracis-33563	38	19	generates	generate	VERB
bracis-33563	38	20	the	the	DET
bracis-33563	38	21	predicted	predict	VERB
bracis-33563	38	22	label	label	NOUN
bracis-33563	38	23	\(\hat{y}_t\	\(\hat{y}_t\	PUNCT
bracis-33563	38	24	)	)	PUNCT
bracis-33563	38	25	,	,	PUNCT
bracis-33563	38	26	as	as	ADP
bracis-33563	38	27	output	output	NOUN
bracis-33563	38	28	.	.	PUNCT
bracis-33563	39	1	in	in	ADP
bracis-33563	39	2	our	our	PRON
bracis-33563	39	3	research	research	NOUN
bracis-33563	39	4	,	,	PUNCT
bracis-33563	39	5	we	we	PRON
bracis-33563	39	6	focus	focus	VERB
bracis-33563	39	7	on	on	ADP
bracis-33563	39	8	fully	fully	ADV
bracis-33563	39	9	labeled	label	VERB
bracis-33563	39	10	binary	binary	ADJ
bracis-33563	39	11	classification	classification	NOUN
bracis-33563	39	12	,	,	PUNCT
bracis-33563	39	13	where	where	SCONJ
bracis-33563	39	14	the	the	DET
bracis-33563	39	15	correct	correct	ADJ
bracis-33563	39	16	label	label	NOUN
bracis-33563	39	17	\	\	PROPN
bracis-33563	39	18	(	(	PUNCT
bracis-33563	39	19	y_t	y_t	NUM
bracis-33563	39	20	\	\	NOUN
bracis-33563	39	21	)	)	PUNCT
bracis-33563	39	22	is	be	AUX
bracis-33563	39	23	restricted	restrict	VERB
bracis-33563	39	24	to	to	ADP
bracis-33563	39	25	one	one	NUM
bracis-33563	39	26	of	of	ADP
bracis-33563	39	27	two	two	NUM
bracis-33563	39	28	possible	possible	ADJ
bracis-33563	39	29	outcomes	outcome	NOUN
bracis-33563	39	30	.	.	PUNCT
bracis-33563	40	1	additionally	additionally	ADV
bracis-33563	40	2	,	,	PUNCT
bracis-33563	40	3	every	every	DET
bracis-33563	40	4	instance	instance	NOUN
bracis-33563	40	5	\	\	PROPN
bracis-33563	40	6	(	(	PUNCT
bracis-33563	40	7	s_t	s_t	X
bracis-33563	40	8	\	\	NOUN
bracis-33563	40	9	)	)	PUNCT
bracis-33563	40	10	within	within	ADP
bracis-33563	40	11	the	the	DET
bracis-33563	40	12	data	data	NOUN
bracis-33563	40	13	stream	stream	NOUN
bracis-33563	40	14	is	be	AUX
bracis-33563	40	15	pre	pre	ADJ
bracis-33563	40	16	-	-	VERB
bracis-33563	40	17	labeled	label	VERB
bracis-33563	40	18	.	.	PUNCT
bracis-33563	41	1	in	in	ADP
bracis-33563	41	2	several	several	ADJ
bracis-33563	41	3	classification	classification	NOUN
bracis-33563	41	4	problems	problem	NOUN
bracis-33563	41	5	,	,	PUNCT
bracis-33563	41	6	the	the	DET
bracis-33563	41	7	distribution	distribution	NOUN
bracis-33563	41	8	\(d_{j}\	\(d_{j}\	NOUN
bracis-33563	41	9	)	)	PUNCT
bracis-33563	41	10	is	be	AUX
bracis-33563	41	11	subject	subject	ADJ
bracis-33563	41	12	to	to	ADP
bracis-33563	41	13	changes	change	NOUN
bracis-33563	41	14	over	over	ADP
bracis-33563	41	15	time	time	NOUN
bracis-33563	41	16	,	,	PUNCT
bracis-33563	41	17	as	as	ADP
bracis-33563	41	18	the	the	DET
bracis-33563	41	19	characteristics	characteristic	NOUN
bracis-33563	41	20	and	and	CCONJ
bracis-33563	41	21	definitions	definition	NOUN
bracis-33563	41	22	of	of	ADP
bracis-33563	41	23	the	the	DET
bracis-33563	41	24	data	datum	NOUN
bracis-33563	41	25	stream	stream	NOUN
bracis-33563	41	26	evolve	evolve	NOUN
bracis-33563	41	27	.	.	PUNCT
bracis-33563	42	1	this	this	DET
bracis-33563	42	2	phenomenon	phenomenon	NOUN
bracis-33563	42	3	is	be	AUX
bracis-33563	42	4	called	call	VERB
bracis-33563	42	5	concept	concept	NOUN
bracis-33563	42	6	drift	drift	NOUN
bracis-33563	42	7	[	[	X
bracis-33563	42	8	12	12	NUM
bracis-33563	42	9	,	,	PUNCT
bracis-33563	42	10	20	20	NUM
bracis-33563	42	11	]	]	PUNCT
bracis-33563	42	12	.	.	PUNCT
bracis-33563	43	1	concept	concept	NOUN
bracis-33563	43	2	drifts	drift	VERB
bracis-33563	43	3	in	in	ADP
bracis-33563	43	4	the	the	DET
bracis-33563	43	5	pattern	pattern	NOUN
bracis-33563	43	6	of	of	ADP
bracis-33563	43	7	class	class	NOUN
bracis-33563	43	8	distribution	distribution	NOUN
bracis-33563	43	9	can	can	AUX
bracis-33563	43	10	be	be	AUX
bracis-33563	43	11	segmented	segment	VERB
bracis-33563	43	12	into	into	ADP
bracis-33563	43	13	4	4	NUM
bracis-33563	43	14	categories	category	NOUN
bracis-33563	43	15	[	[	X
bracis-33563	43	16	12	12	NUM
bracis-33563	43	17	]	]	X
bracis-33563	43	18	:	:	PUNCT
bracis-33563	43	19	sudden	sudden	ADJ
bracis-33563	43	20	,	,	PUNCT
bracis-33563	43	21	incremental	incremental	ADJ
bracis-33563	43	22	,	,	PUNCT
bracis-33563	43	23	gradual	gradual	ADJ
bracis-33563	43	24	,	,	PUNCT
bracis-33563	43	25	or	or	CCONJ
bracis-33563	43	26	recurrent	recurrent	NOUN
bracis-33563	43	27	.	.	PUNCT
bracis-33563	44	1	in	in	ADP
bracis-33563	44	2	the	the	DET
bracis-33563	44	3	realm	realm	NOUN
bracis-33563	44	4	of	of	ADP
bracis-33563	44	5	data	datum	NOUN
bracis-33563	44	6	streams	stream	NOUN
bracis-33563	44	7	,	,	PUNCT
bracis-33563	44	8	concept	concept	NOUN
bracis-33563	44	9	drift	drift	NOUN
bracis-33563	44	10	can	can	AUX
bracis-33563	44	11	be	be	AUX
bracis-33563	44	12	addressed	address	VERB
bracis-33563	44	13	either	either	CCONJ
bracis-33563	44	14	explicitly	explicitly	ADV
bracis-33563	44	15	(	(	PUNCT
bracis-33563	44	16	using	use	VERB
bracis-33563	44	17	a	a	DET
bracis-33563	44	18	dedicated	dedicated	ADJ
bracis-33563	44	19	drift	drift	NOUN
bracis-33563	44	20	detector	detector	NOUN
bracis-33563	44	21	)	)	PUNCT
bracis-33563	44	22	or	or	CCONJ
bracis-33563	44	23	implicitly	implicitly	ADV
bracis-33563	44	24	.	.	PUNCT
bracis-33563	45	1	class	class	NOUN
bracis-33563	45	2	imbalance	imbalance	NOUN
bracis-33563	45	3	in	in	ADP
bracis-33563	45	4	data	data	NOUN
bracis-33563	45	5	stream	stream	NOUN
bracis-33563	45	6	classification	classification	NOUN
bracis-33563	45	7	often	often	ADV
bracis-33563	45	8	occurs	occur	VERB
bracis-33563	45	9	for	for	ADP
bracis-33563	45	10	various	various	ADJ
bracis-33563	45	11	reasons	reason	NOUN
bracis-33563	45	12	.	.	PUNCT
bracis-33563	46	1	it	it	PRON
bracis-33563	46	2	can	can	AUX
bracis-33563	46	3	be	be	AUX
bracis-33563	46	4	due	due	ADJ
bracis-33563	46	5	to	to	ADP
bracis-33563	46	6	the	the	DET
bracis-33563	46	7	intrinsic	intrinsic	ADJ
bracis-33563	46	8	nature	nature	NOUN
bracis-33563	46	9	of	of	ADP
bracis-33563	46	10	the	the	DET
bracis-33563	46	11	data	data	NOUN
bracis-33563	46	12	scope	scope	NOUN
bracis-33563	46	13	being	be	AUX
bracis-33563	46	14	processed	process	VERB
bracis-33563	46	15	,	,	PUNCT
bracis-33563	46	16	such	such	ADJ
bracis-33563	46	17	as	as	ADP
bracis-33563	46	18	a	a	DET
bracis-33563	46	19	medical	medical	ADJ
bracis-33563	46	20	database	database	NOUN
bracis-33563	46	21	that	that	PRON
bracis-33563	46	22	includes	include	VERB
bracis-33563	46	23	sporadic	sporadic	ADJ
bracis-33563	46	24	occurrences	occurrence	NOUN
bracis-33563	46	25	of	of	ADP
bracis-33563	46	26	a	a	DET
bracis-33563	46	27	rare	rare	ADJ
bracis-33563	46	28	disease	disease	NOUN
bracis-33563	46	29	.	.	PUNCT
bracis-33563	47	1	alternatively	alternatively	ADV
bracis-33563	47	2	,	,	PUNCT
bracis-33563	47	3	it	it	PRON
bracis-33563	47	4	could	could	AUX
bracis-33563	47	5	occur	occur	VERB
bracis-33563	47	6	purely	purely	ADV
bracis-33563	47	7	by	by	ADP
bracis-33563	47	8	chance	chance	NOUN
bracis-33563	47	9	if	if	SCONJ
bracis-33563	47	10	the	the	DET
bracis-33563	47	11	batch	batch	NOUN
bracis-33563	47	12	of	of	ADP
bracis-33563	47	13	data	datum	NOUN
bracis-33563	47	14	being	be	AUX
bracis-33563	47	15	processed	process	VERB
bracis-33563	47	16	lacks	lack	VERB
bracis-33563	47	17	a	a	DET
bracis-33563	47	18	representative	representative	ADJ
bracis-33563	47	19	diversity	diversity	NOUN
bracis-33563	47	20	of	of	ADP
bracis-33563	47	21	instances	instance	NOUN
bracis-33563	47	22	for	for	ADP
bracis-33563	47	23	each	each	DET
bracis-33563	47	24	class	class	NOUN
bracis-33563	47	25	.	.	PUNCT
bracis-33563	48	1	to	to	PART
bracis-33563	48	2	address	address	VERB
bracis-33563	48	3	the	the	DET
bracis-33563	48	4	scenario	scenario	NOUN
bracis-33563	48	5	of	of	ADP
bracis-33563	48	6	imbalanced	imbalanced	ADJ
bracis-33563	48	7	classes	class	NOUN
bracis-33563	48	8	in	in	ADP
bracis-33563	48	9	machine	machine	NOUN
bracis-33563	48	10	learning	learn	VERB
bracis-33563	48	11	within	within	ADP
bracis-33563	48	12	data	datum	NOUN
bracis-33563	48	13	streams	stream	NOUN
bracis-33563	48	14	,	,	PUNCT
bracis-33563	48	15	three	three	NUM
bracis-33563	48	16	main	main	ADJ
bracis-33563	48	17	methods	method	NOUN
bracis-33563	48	18	are	be	AUX
bracis-33563	48	19	commonly	commonly	ADV
bracis-33563	48	20	employed	employ	VERB
bracis-33563	48	21	 	 	SPACE
bracis-33563	49	1	[	[	X
bracis-33563	49	2	14	14	NUM
bracis-33563	49	3	]	]	X
bracis-33563	49	4	:	:	PUNCT
bracis-33563	49	5	(	(	PUNCT
bracis-33563	49	6	i	i	NOUN
bracis-33563	49	7	)	)	PUNCT
bracis-33563	49	8	data	data	NOUN
bracis-33563	49	9	-	-	PUNCT
bracis-33563	49	10	level	level	NOUN
bracis-33563	49	11	methods	method	NOUN
bracis-33563	49	12	,	,	PUNCT
bracis-33563	49	13	where	where	SCONJ
bracis-33563	49	14	the	the	DET
bracis-33563	49	15	data	data	NOUN
bracis-33563	49	16	is	be	AUX
bracis-33563	49	17	pre	pre	ADJ
bracis-33563	49	18	-	-	ADJ
bracis-33563	49	19	processing	processing	ADJ
bracis-33563	49	20	using	using	NOUN
bracis-33563	49	21	,	,	PUNCT
bracis-33563	49	22	for	for	ADP
bracis-33563	49	23	example	example	NOUN
bracis-33563	49	24	,	,	PUNCT
bracis-33563	49	25	resampling	resample	VERB
bracis-33563	49	26	techniques	technique	NOUN
bracis-33563	49	27	;	;	PUNCT
bracis-33563	49	28	(	(	PUNCT
bracis-33563	49	29	ii	ii	NOUN
bracis-33563	49	30	)	)	PUNCT
bracis-33563	49	31	algorithmic	algorithmic	ADJ
bracis-33563	49	32	-	-	PUNCT
bracis-33563	49	33	level	level	NOUN
bracis-33563	49	34	methods	method	NOUN
bracis-33563	49	35	where	where	SCONJ
bracis-33563	49	36	the	the	DET
bracis-33563	49	37	learning	learning	NOUN
bracis-33563	49	38	algorithms	algorithm	NOUN
bracis-33563	49	39	are	be	AUX
bracis-33563	49	40	adapted	adapt	VERB
bracis-33563	49	41	to	to	PART
bracis-33563	49	42	deal	deal	VERB
bracis-33563	49	43	with	with	ADP
bracis-33563	49	44	imbalance	imbalance	NOUN
bracis-33563	49	45	classes	class	NOUN
bracis-33563	49	46	;	;	PUNCT
bracis-33563	49	47	and	and	CCONJ
bracis-33563	49	48	(	(	PUNCT
bracis-33563	49	49	iii	iii	X
bracis-33563	49	50	)	)	PUNCT
bracis-33563	49	51	hybrid	hybrid	ADJ
bracis-33563	49	52	methods	method	NOUN
bracis-33563	49	53	which	which	PRON
bracis-33563	49	54	represent	represent	VERB
bracis-33563	49	55	a	a	DET
bracis-33563	49	56	combination	combination	NOUN
bracis-33563	49	57	of	of	ADP
bracis-33563	49	58	the	the	DET
bracis-33563	49	59	previous	previous	ADJ
bracis-33563	49	60	two	two	NUM
bracis-33563	49	61	.	.	PUNCT
bracis-33563	49	62	3	3	NUM
bracis-33563	49	63	baswe	baswe	NOUN
bracis-33563	49	64	this	this	DET
bracis-33563	49	65	section	section	NOUN
bracis-33563	49	66	introduces	introduce	VERB
bracis-33563	49	67	the	the	DET
bracis-33563	49	68	balanced	balanced	ADJ
bracis-33563	49	69	accuracy	accuracy	NOUN
bracis-33563	49	70	-	-	PUNCT
bracis-33563	49	71	based	base	VERB
bracis-33563	49	72	sliding	slide	VERB
bracis-33563	49	73	window	window	NOUN
bracis-33563	49	74	ensemble	ensemble	ADJ
bracis-33563	49	75	(	(	PUNCT
bracis-33563	49	76	baswe	baswe	NOUN
bracis-33563	49	77	)	)	PUNCT
bracis-33563	49	78	,	,	PUNCT
bracis-33563	49	79	an	an	DET
bracis-33563	49	80	algorithm	algorithm	NOUN
bracis-33563	49	81	designed	design	VERB
bracis-33563	49	82	specifically	specifically	ADV
bracis-33563	49	83	for	for	ADP
bracis-33563	49	84	binary	binary	ADJ
bracis-33563	49	85	classification	classification	NOUN
bracis-33563	49	86	in	in	ADP
bracis-33563	49	87	imbalanced	imbalanced	ADJ
bracis-33563	49	88	data	datum	NOUN
bracis-33563	49	89	streamsfootnote	streamsfootnote	NOUN
bracis-33563	49	90	1	1	NUM
bracis-33563	49	91	.	.	PUNCT
bracis-33563	50	1	this	this	DET
bracis-33563	50	2	algorithm	algorithm	NOUN
bracis-33563	50	3	is	be	AUX
bracis-33563	50	4	inspired	inspire	VERB
bracis-33563	50	5	by	by	ADP
bracis-33563	50	6	kue	kue	PROPN
bracis-33563	50	7	algorithm	algorithm	NOUN
bracis-33563	50	8	[	[	X
bracis-33563	50	9	6	6	NUM
bracis-33563	50	10	]	]	PUNCT
bracis-33563	50	11	.	.	PUNCT
bracis-33563	51	1	baswe	baswe	PROPN
bracis-33563	51	2	has	have	VERB
bracis-33563	51	3	three	three	NUM
bracis-33563	51	4	main	main	ADJ
bracis-33563	51	5	characteristics	characteristic	NOUN
bracis-33563	51	6	.	.	PUNCT
bracis-33563	52	1	the	the	DET
bracis-33563	52	2	first	first	ADJ
bracis-33563	52	3	one	one	NOUN
bracis-33563	52	4	is	be	AUX
bracis-33563	52	5	the	the	DET
bracis-33563	52	6	use	use	NOUN
bracis-33563	52	7	of	of	ADP
bracis-33563	52	8	dynamic	dynamic	ADJ
bracis-33563	52	9	ensemble	ensemble	ADJ
bracis-33563	52	10	techniques	technique	NOUN
bracis-33563	52	11	,	,	PUNCT
bracis-33563	52	12	which	which	PRON
bracis-33563	52	13	address	address	VERB
bracis-33563	52	14	dynamic	dynamic	ADJ
bracis-33563	52	15	substitutions	substitution	NOUN
bracis-33563	52	16	and	and	CCONJ
bracis-33563	52	17	provide	provide	VERB
bracis-33563	52	18	real	real	ADJ
bracis-33563	52	19	-	-	PUNCT
bracis-33563	52	20	time	time	NOUN
bracis-33563	52	21	ensemble	ensemble	ADJ
bracis-33563	52	22	updates	update	NOUN
bracis-33563	52	23	.	.	PUNCT
bracis-33563	53	1	additionally	additionally	ADV
bracis-33563	53	2	,	,	PUNCT
bracis-33563	53	3	baswe	baswe	NOUN
bracis-33563	53	4	implements	implement	VERB
bracis-33563	53	5	an	an	DET
bracis-33563	53	6	abstention	abstention	NOUN
bracis-33563	53	7	policy	policy	NOUN
bracis-33563	53	8	to	to	PART
bracis-33563	53	9	address	address	VERB
bracis-33563	53	10	relevance	relevance	NOUN
bracis-33563	53	11	modifications	modification	NOUN
bracis-33563	53	12	of	of	ADP
bracis-33563	53	13	the	the	DET
bracis-33563	53	14	experts	expert	NOUN
bracis-33563	53	15	.	.	PUNCT
bracis-33563	54	1	the	the	DET
bracis-33563	54	2	second	second	ADJ
bracis-33563	54	3	crucial	crucial	ADJ
bracis-33563	54	4	characteristic	characteristic	NOUN
bracis-33563	54	5	is	be	AUX
bracis-33563	54	6	the	the	DET
bracis-33563	54	7	use	use	NOUN
bracis-33563	54	8	of	of	ADP
bracis-33563	54	9	balanced	balanced	ADJ
bracis-33563	54	10	accuracy	accuracy	NOUN
bracis-33563	54	11	as	as	ADP
bracis-33563	54	12	the	the	DET
bracis-33563	54	13	primary	primary	ADJ
bracis-33563	54	14	metric	metric	NOUN
bracis-33563	54	15	for	for	ADP
bracis-33563	54	16	model	model	NOUN
bracis-33563	54	17	evaluation	evaluation	NOUN
bracis-33563	54	18	and	and	CCONJ
bracis-33563	54	19	updating	updating	NOUN
bracis-33563	54	20	.	.	PUNCT
bracis-33563	55	1	this	this	DET
bracis-33563	55	2	strategy	strategy	NOUN
bracis-33563	55	3	is	be	AUX
bracis-33563	55	4	specifically	specifically	ADV
bracis-33563	55	5	tailored	tailor	VERB
bracis-33563	55	6	to	to	PART
bracis-33563	55	7	address	address	VERB
bracis-33563	55	8	the	the	DET
bracis-33563	55	9	imbalanced	imbalanced	ADJ
bracis-33563	55	10	data	data	NOUN
bracis-33563	55	11	sets	set	VERB
bracis-33563	55	12	that	that	SCONJ
bracis-33563	55	13	baswe	baswe	NOUN
bracis-33563	55	14	is	be	AUX
bracis-33563	55	15	designed	design	VERB
bracis-33563	55	16	to	to	PART
bracis-33563	55	17	handle	handle	VERB
bracis-33563	55	18	.	.	PUNCT
bracis-33563	56	1	the	the	DET
bracis-33563	56	2	third	third	ADJ
bracis-33563	56	3	key	key	ADJ
bracis-33563	56	4	feature	feature	NOUN
bracis-33563	56	5	is	be	AUX
bracis-33563	56	6	the	the	DET
bracis-33563	56	7	application	application	NOUN
bracis-33563	56	8	of	of	ADP
bracis-33563	56	9	sliding	slide	VERB
bracis-33563	56	10	windows	window	NOUN
bracis-33563	56	11	as	as	ADP
bracis-33563	56	12	a	a	DET
bracis-33563	56	13	data	data	NOUN
bracis-33563	56	14	-	-	PUNCT
bracis-33563	56	15	level	level	NOUN
bracis-33563	56	16	method	method	NOUN
bracis-33563	56	17	that	that	PRON
bracis-33563	56	18	can	can	AUX
bracis-33563	56	19	effectively	effectively	ADV
bracis-33563	56	20	manage	manage	VERB
bracis-33563	56	21	class	class	NOUN
bracis-33563	56	22	imbalance	imbalance	NOUN
bracis-33563	56	23	in	in	ADP
bracis-33563	56	24	the	the	DET
bracis-33563	56	25	data	data	NOUN
bracis-33563	56	26	stream	stream	NOUN
bracis-33563	56	27	.	.	PUNCT
bracis-33563	57	1	these	these	DET
bracis-33563	57	2	latter	latter	ADJ
bracis-33563	57	3	two	two	NUM
bracis-33563	57	4	characteristics	characteristic	NOUN
bracis-33563	57	5	are	be	AUX
bracis-33563	57	6	explained	explain	VERB
bracis-33563	57	7	in	in	ADP
bracis-33563	57	8	sects	sect	NOUN
bracis-33563	57	9	.	.	PUNCT
bracis-33563	57	10	 	 	SPACE
bracis-33563	58	1	3.1	3.1	NUM
bracis-33563	58	2	and	and	CCONJ
bracis-33563	58	3	3.2	3.2	NUM
bracis-33563	58	4	,	,	PUNCT
bracis-33563	58	5	respectively	respectively	ADV
bracis-33563	58	6	.	.	PUNCT
bracis-33563	59	1	baswe	baswe	NOUN
bracis-33563	59	2	’s	’s	PART
bracis-33563	59	3	experts	expert	NOUN
bracis-33563	59	4	in	in	ADP
bracis-33563	59	5	the	the	DET
bracis-33563	59	6	ensemble	ensemble	ADJ
bracis-33563	59	7	implement	implement	NOUN
bracis-33563	59	8	the	the	DET
bracis-33563	59	9	very	very	ADV
bracis-33563	59	10	fast	fast	ADJ
bracis-33563	59	11	decision	decision	NOUN
bracis-33563	59	12	trees	tree	NOUN
bracis-33563	59	13	(	(	PUNCT
bracis-33563	59	14	vfdt	vfdt	NOUN
bracis-33563	59	15	)	)	PUNCT
bracis-33563	59	16	algorithm	algorithm	NOUN
bracis-33563	60	1	[	[	X
bracis-33563	60	2	13	13	NUM
bracis-33563	60	3	]	]	PUNCT
bracis-33563	60	4	.	.	PUNCT
bracis-33563	61	1	this	this	DET
bracis-33563	61	2	algorithm	algorithm	NOUN
bracis-33563	61	3	is	be	AUX
bracis-33563	61	4	recognized	recognize	VERB
bracis-33563	61	5	for	for	ADP
bracis-33563	61	6	its	its	PRON
bracis-33563	61	7	computational	computational	ADJ
bracis-33563	61	8	efficiency	efficiency	NOUN
bracis-33563	61	9	,	,	PUNCT
bracis-33563	61	10	making	make	VERB
bracis-33563	61	11	it	it	PRON
bracis-33563	61	12	ideal	ideal	ADJ
bracis-33563	61	13	for	for	ADP
bracis-33563	61	14	handling	handle	VERB
bracis-33563	61	15	real	real	ADJ
bracis-33563	61	16	-	-	PUNCT
bracis-33563	61	17	time	time	NOUN
bracis-33563	61	18	data	datum	NOUN
bracis-33563	61	19	streams	stream	NOUN
bracis-33563	61	20	.	.	PUNCT
bracis-33563	62	1	it	it	PRON
bracis-33563	62	2	operates	operate	VERB
bracis-33563	62	3	by	by	ADP
bracis-33563	62	4	building	build	VERB
bracis-33563	62	5	decision	decision	NOUN
bracis-33563	62	6	trees	tree	NOUN
bracis-33563	62	7	incrementally	incrementally	ADV
bracis-33563	62	8	,	,	PUNCT
bracis-33563	62	9	accommodating	accommodate	VERB
bracis-33563	62	10	massive	massive	ADJ
bracis-33563	62	11	volumes	volume	NOUN
bracis-33563	62	12	of	of	ADP
bracis-33563	62	13	data	datum	NOUN
bracis-33563	62	14	while	while	SCONJ
bracis-33563	62	15	minimizing	minimize	VERB
bracis-33563	62	16	memory	memory	NOUN
bracis-33563	62	17	usage	usage	NOUN
bracis-33563	62	18	.	.	PUNCT
bracis-33563	63	1	3.1	3.1	NUM
bracis-33563	63	2	balanced	balanced	ADJ
bracis-33563	63	3	accuracy	accuracy	NOUN
bracis-33563	63	4	approach	approach	NOUN
bracis-33563	63	5	to	to	PART
bracis-33563	63	6	 	 	SPACE
bracis-33563	63	7	handle	handle	VERB
bracis-33563	63	8	ensemble	ensemble	ADJ
bracis-33563	63	9	update	update	NOUN
bracis-33563	63	10	balanced	balanced	ADJ
bracis-33563	63	11	accuracy	accuracy	NOUN
bracis-33563	63	12	(	(	PUNCT
bracis-33563	63	13	ba	ba	NOUN
bracis-33563	63	14	)	)	PUNCT
bracis-33563	63	15	(	(	PUNCT
bracis-33563	63	16	eq	eq	NOUN
bracis-33563	63	17	.	.	PUNCT
bracis-33563	63	18	 	 	SPACE
bracis-33563	63	19	1	1	X
bracis-33563	63	20	)	)	PUNCT
bracis-33563	63	21	provides	provide	VERB
bracis-33563	63	22	a	a	DET
bracis-33563	63	23	robust	robust	ADJ
bracis-33563	63	24	measure	measure	NOUN
bracis-33563	63	25	for	for	ADP
bracis-33563	63	26	binary	binary	ADJ
bracis-33563	63	27	classification	classification	NOUN
bracis-33563	63	28	problems	problem	NOUN
bracis-33563	63	29	,	,	PUNCT
bracis-33563	63	30	especially	especially	ADV
bracis-33563	63	31	when	when	SCONJ
bracis-33563	63	32	dealing	deal	VERB
bracis-33563	63	33	with	with	ADP
bracis-33563	63	34	imbalanced	imbalanced	ADJ
bracis-33563	63	35	datasets	dataset	NOUN
bracis-33563	63	36	.	.	PUNCT
bracis-33563	64	1	$	$	SYM
bracis-33563	64	2	$	$	SYM
bracis-33563	64	3	\begin{aligned	\begin{aligne	VERB
bracis-33563	64	4	}	}	PUNCT
bracis-33563	64	5	\text	\text	ADV
bracis-33563	64	6	{	{	PUNCT
bracis-33563	64	7	balanced	balanced	ADJ
bracis-33563	64	8	accuracy	accuracy	NOUN
bracis-33563	64	9	}	}	PUNCT
bracis-33563	64	10	=	=	PUNCT
bracis-33563	64	11	\frac{1}{2}\left	\frac{1}{2}\left	ADJ
bracis-33563	64	12	(	(	PUNCT
bracis-33563	64	13	\frac{tpr}{tpr+fnr}+\frac{tnr}{tnr+fpr}\right	\frac{tpr}{tpr+fnr}+\frac{tnr}{tnr+fpr}\right	PROPN
bracis-33563	64	14	)	)	PUNCT
bracis-33563	64	15	\end{aligned}$$	\end{aligned}$$	X
bracis-33563	64	16	(	(	PUNCT
bracis-33563	64	17	1	1	NUM
bracis-33563	64	18	)	)	PUNCT
bracis-33563	64	19	where	where	SCONJ
bracis-33563	64	20	tpr	tpr	PROPN
bracis-33563	64	21	is	be	AUX
bracis-33563	64	22	the	the	DET
bracis-33563	64	23	true	true	ADJ
bracis-33563	64	24	positive	positive	ADJ
bracis-33563	64	25	rate	rate	NOUN
bracis-33563	64	26	and	and	CCONJ
bracis-33563	64	27	tnr	tnr	PROPN
bracis-33563	64	28	is	be	AUX
bracis-33563	64	29	the	the	DET
bracis-33563	64	30	true	true	ADJ
bracis-33563	64	31	negative	negative	ADJ
bracis-33563	64	32	rate	rate	NOUN
bracis-33563	64	33	.	.	PUNCT
bracis-33563	65	1	in	in	ADP
bracis-33563	65	2	the	the	DET
bracis-33563	65	3	context	context	NOUN
bracis-33563	65	4	of	of	ADP
bracis-33563	65	5	the	the	DET
bracis-33563	65	6	baswe	baswe	NOUN
bracis-33563	65	7	algorithm	algorithm	NOUN
bracis-33563	65	8	,	,	PUNCT
bracis-33563	65	9	balanced	balanced	ADJ
bracis-33563	65	10	accuracy	accuracy	NOUN
bracis-33563	65	11	is	be	AUX
bracis-33563	65	12	used	use	VERB
bracis-33563	65	13	as	as	ADP
bracis-33563	65	14	a	a	DET
bracis-33563	65	15	driving	driving	NOUN
bracis-33563	65	16	mechanism	mechanism	NOUN
bracis-33563	65	17	for	for	ADP
bracis-33563	65	18	two	two	NUM
bracis-33563	65	19	key	key	ADJ
bracis-33563	65	20	operations	operation	NOUN
bracis-33563	65	21	:	:	PUNCT
bracis-33563	65	22	expert	expert	NOUN
bracis-33563	65	23	substitution	substitution	NOUN
bracis-33563	65	24	within	within	ADP
bracis-33563	65	25	the	the	DET
bracis-33563	65	26	ensemble	ensemble	NOUN
bracis-33563	65	27	.	.	PUNCT
bracis-33563	66	1	with	with	ADP
bracis-33563	66	2	every	every	DET
bracis-33563	66	3	new	new	ADJ
bracis-33563	66	4	chunk	chunk	NOUN
bracis-33563	66	5	of	of	ADP
bracis-33563	66	6	data	datum	NOUN
bracis-33563	66	7	,	,	PUNCT
bracis-33563	66	8	q	q	NOUN
bracis-33563	66	9	new	new	ADJ
bracis-33563	66	10	experts	expert	NOUN
bracis-33563	66	11	are	be	AUX
bracis-33563	66	12	trained	train	VERB
bracis-33563	66	13	outside	outside	ADP
bracis-33563	66	14	the	the	DET
bracis-33563	66	15	ensemble	ensemble	NOUN
bracis-33563	66	16	.	.	PUNCT
bracis-33563	67	1	the	the	DET
bracis-33563	67	2	ensemble	ensemble	ADJ
bracis-33563	67	3	itself	itself	PRON
bracis-33563	67	4	consists	consist	VERB
bracis-33563	67	5	of	of	ADP
bracis-33563	67	6	k	k	NOUN
bracis-33563	67	7	experts	expert	NOUN
bracis-33563	67	8	\((\gamma	\((\gamma	PROPN
bracis-33563	67	9	_	_	NOUN
bracis-33563	67	10	1,	1,	NUM
bracis-33563	67	11	...	...	PUNCT
bracis-33563	67	12	,\gamma	,\gamma	PUNCT
bracis-33563	68	1	_	_	PUNCT
bracis-33563	68	2	{	{	PUNCT
bracis-33563	68	3	k})\	k})\	NOUN
bracis-33563	68	4	)	)	PUNCT
bracis-33563	68	5	,	,	PUNCT
bracis-33563	68	6	and	and	CCONJ
bracis-33563	68	7	if	if	SCONJ
bracis-33563	68	8	the	the	DET
bracis-33563	68	9	balanced	balanced	ADJ
bracis-33563	68	10	accuracy	accuracy	NOUN
bracis-33563	68	11	of	of	ADP
bracis-33563	68	12	the	the	DET
bracis-33563	68	13	newly	newly	ADV
bracis-33563	68	14	trained	train	VERB
bracis-33563	68	15	experts	expert	NOUN
bracis-33563	68	16	exceeds	exceed	VERB
bracis-33563	68	17	that	that	PRON
bracis-33563	68	18	of	of	ADP
bracis-33563	68	19	the	the	DET
bracis-33563	68	20	worst	worst	ADV
bracis-33563	68	21	-	-	PUNCT
bracis-33563	68	22	performing	perform	VERB
bracis-33563	68	23	ones	one	NOUN
bracis-33563	68	24	in	in	ADP
bracis-33563	68	25	the	the	DET
bracis-33563	68	26	ensemble	ensemble	ADJ
bracis-33563	68	27	,	,	PUNCT
bracis-33563	68	28	a	a	DET
bracis-33563	68	29	substitution	substitution	NOUN
bracis-33563	68	30	takes	take	VERB
bracis-33563	68	31	place	place	NOUN
bracis-33563	68	32	.	.	PUNCT
bracis-33563	69	1	abstention	abstention	NOUN
bracis-33563	69	2	of	of	ADP
bracis-33563	69	3	voting	vote	VERB
bracis-33563	69	4	from	from	ADP
bracis-33563	69	5	ensemble	ensemble	ADJ
bracis-33563	69	6	experts	expert	NOUN
bracis-33563	69	7	.	.	PUNCT
bracis-33563	70	1	the	the	DET
bracis-33563	70	2	abstention	abstention	NOUN
bracis-33563	70	3	policy	policy	NOUN
bracis-33563	70	4	operates	operate	VERB
bracis-33563	70	5	by	by	ADP
bracis-33563	70	6	controlling	control	VERB
bracis-33563	70	7	the	the	DET
bracis-33563	70	8	voting	voting	NOUN
bracis-33563	70	9	rights	right	NOUN
bracis-33563	70	10	of	of	ADP
bracis-33563	70	11	the	the	DET
bracis-33563	70	12	ensemble	ensemble	ADJ
bracis-33563	70	13	experts	expert	NOUN
bracis-33563	70	14	based	base	VERB
bracis-33563	70	15	on	on	ADP
bracis-33563	70	16	their	their	PRON
bracis-33563	70	17	balanced	balanced	ADJ
bracis-33563	70	18	accuracy	accuracy	NOUN
bracis-33563	70	19	.	.	PUNCT
bracis-33563	71	1	when	when	SCONJ
bracis-33563	71	2	the	the	DET
bracis-33563	71	3	ensemble	ensemble	ADJ
bracis-33563	71	4	computes	compute	VERB
bracis-33563	71	5	the	the	DET
bracis-33563	71	6	majority	majority	NOUN
bracis-33563	71	7	vote	vote	NOUN
bracis-33563	71	8	to	to	PART
bracis-33563	71	9	determine	determine	VERB
bracis-33563	71	10	the	the	DET
bracis-33563	71	11	final	final	ADJ
bracis-33563	71	12	classification	classification	NOUN
bracis-33563	71	13	,	,	PUNCT
bracis-33563	71	14	the	the	DET
bracis-33563	71	15	ba	ba	PROPN
bracis-33563	71	16	of	of	ADP
bracis-33563	71	17	each	each	DET
bracis-33563	71	18	expert	expert	NOUN
bracis-33563	71	19	is	be	AUX
bracis-33563	71	20	assessed	assess	VERB
bracis-33563	71	21	against	against	ADP
bracis-33563	71	22	a	a	DET
bracis-33563	71	23	specific	specific	ADJ
bracis-33563	71	24	threshold	threshold	NOUN
bracis-33563	71	25	(	(	PUNCT
bracis-33563	71	26	0.5	0.5	NUM
bracis-33563	71	27	in	in	ADP
bracis-33563	71	28	our	our	PRON
bracis-33563	71	29	implementation	implementation	NOUN
bracis-33563	71	30	)	)	PUNCT
bracis-33563	71	31	.	.	PUNCT
bracis-33563	72	1	any	any	DET
bracis-33563	72	2	expert	expert	NOUN
bracis-33563	72	3	with	with	ADP
bracis-33563	72	4	a	a	DET
bracis-33563	72	5	ba	ba	NOUN
bracis-33563	72	6	below	below	ADP
bracis-33563	72	7	this	this	DET
bracis-33563	72	8	threshold	threshold	NOUN
bracis-33563	72	9	is	be	AUX
bracis-33563	72	10	prevented	prevent	VERB
bracis-33563	72	11	from	from	ADP
bracis-33563	72	12	voting	vote	VERB
bracis-33563	72	13	,	,	PUNCT
bracis-33563	72	14	meaning	mean	VERB
bracis-33563	72	15	their	their	PRON
bracis-33563	72	16	classification	classification	NOUN
bracis-33563	72	17	decision	decision	NOUN
bracis-33563	72	18	does	do	AUX
bracis-33563	72	19	not	not	PART
bracis-33563	72	20	influence	influence	VERB
bracis-33563	72	21	the	the	DET
bracis-33563	72	22	ensemble	ensemble	ADJ
bracis-33563	72	23	’s	’s	PART
bracis-33563	72	24	final	final	ADJ
bracis-33563	72	25	output	output	NOUN
bracis-33563	72	26	.	.	PUNCT
bracis-33563	73	1	this	this	DET
bracis-33563	73	2	abstention	abstention	NOUN
bracis-33563	73	3	policy	policy	NOUN
bracis-33563	73	4	ensures	ensure	VERB
bracis-33563	73	5	that	that	SCONJ
bracis-33563	73	6	the	the	DET
bracis-33563	73	7	ensemble	ensemble	ADJ
bracis-33563	73	8	’s	’s	PART
bracis-33563	73	9	decision	decision	NOUN
bracis-33563	73	10	-	-	PUNCT
bracis-33563	73	11	making	make	VERB
bracis-33563	73	12	process	process	NOUN
bracis-33563	73	13	is	be	AUX
bracis-33563	73	14	not	not	PART
bracis-33563	73	15	adversely	adversely	ADV
bracis-33563	73	16	affected	affect	VERB
bracis-33563	73	17	by	by	ADP
bracis-33563	73	18	the	the	DET
bracis-33563	73	19	subpar	subpar	ADJ
bracis-33563	73	20	performance	performance	NOUN
bracis-33563	73	21	of	of	ADP
bracis-33563	73	22	any	any	PRON
bracis-33563	73	23	of	of	ADP
bracis-33563	73	24	its	its	PRON
bracis-33563	73	25	experts	expert	NOUN
bracis-33563	73	26	,	,	PUNCT
bracis-33563	73	27	thereby	thereby	ADV
bracis-33563	73	28	maintaining	maintain	VERB
bracis-33563	73	29	the	the	DET
bracis-33563	73	30	integrity	integrity	NOUN
bracis-33563	73	31	and	and	CCONJ
bracis-33563	73	32	accuracy	accuracy	NOUN
bracis-33563	73	33	of	of	ADP
bracis-33563	73	34	the	the	DET
bracis-33563	73	35	ensemble	ensemble	ADJ
bracis-33563	73	36	’s	’s	PART
bracis-33563	73	37	output	output	NOUN
bracis-33563	73	38	.	.	PUNCT
bracis-33563	74	1	3.2	3.2	NUM
bracis-33563	74	2	sliding	slide	VERB
bracis-33563	74	3	window	window	NOUN
bracis-33563	74	4	approach	approach	NOUN
bracis-33563	74	5	for	for	ADP
bracis-33563	74	6	 	 	SPACE
bracis-33563	74	7	handling	handle	VERB
bracis-33563	74	8	imbalanced	imbalanced	ADJ
bracis-33563	74	9	data	datum	NOUN
bracis-33563	74	10	streams	stream	NOUN
bracis-33563	74	11	in	in	ADP
bracis-33563	74	12	baswe	baswe	NOUN
bracis-33563	74	13	,	,	PUNCT
bracis-33563	74	14	the	the	DET
bracis-33563	74	15	sliding	slide	VERB
bracis-33563	74	16	window	window	NOUN
bracis-33563	74	17	approach	approach	NOUN
bracis-33563	74	18	is	be	AUX
bracis-33563	74	19	adopted	adopt	VERB
bracis-33563	74	20	to	to	PART
bracis-33563	74	21	manage	manage	VERB
bracis-33563	74	22	a	a	DET
bracis-33563	74	23	sort	sort	NOUN
bracis-33563	74	24	of	of	ADP
bracis-33563	74	25	data	datum	NOUN
bracis-33563	74	26	cache	cache	PROPN
bracis-33563	74	27	,	,	PUNCT
bracis-33563	74	28	aiming	aim	VERB
bracis-33563	74	29	to	to	PART
bracis-33563	74	30	decrease	decrease	VERB
bracis-33563	74	31	the	the	DET
bracis-33563	74	32	disproportion	disproportion	NOUN
bracis-33563	74	33	among	among	ADP
bracis-33563	74	34	the	the	DET
bracis-33563	74	35	classes	class	NOUN
bracis-33563	74	36	over	over	ADP
bracis-33563	74	37	time	time	NOUN
bracis-33563	74	38	.	.	PUNCT
bracis-33563	75	1	this	this	DET
bracis-33563	75	2	methodology	methodology	NOUN
bracis-33563	75	3	contributes	contribute	VERB
bracis-33563	75	4	to	to	ADP
bracis-33563	75	5	handling	handle	VERB
bracis-33563	75	6	the	the	DET
bracis-33563	75	7	data	datum	NOUN
bracis-33563	75	8	imbalance	imbalance	NOUN
bracis-33563	75	9	and	and	CCONJ
bracis-33563	75	10	providing	provide	VERB
bracis-33563	75	11	a	a	DET
bracis-33563	75	12	more	more	ADV
bracis-33563	75	13	accurate	accurate	ADJ
bracis-33563	75	14	and	and	CCONJ
bracis-33563	75	15	representative	representative	ADJ
bracis-33563	75	16	sample	sample	NOUN
bracis-33563	75	17	of	of	ADP
bracis-33563	75	18	the	the	DET
bracis-33563	75	19	current	current	ADJ
bracis-33563	75	20	data	datum	NOUN
bracis-33563	75	21	for	for	ADP
bracis-33563	75	22	model	model	NOUN
bracis-33563	75	23	training	training	NOUN
bracis-33563	75	24	.	.	PUNCT
bracis-33563	76	1	to	to	PART
bracis-33563	76	2	implement	implement	VERB
bracis-33563	76	3	this	this	DET
bracis-33563	76	4	approach	approach	NOUN
bracis-33563	76	5	,	,	PUNCT
bracis-33563	76	6	the	the	DET
bracis-33563	76	7	algorithm	algorithm	NOUN
bracis-33563	76	8	establishes	establish	VERB
bracis-33563	76	9	two	two	NUM
bracis-33563	76	10	sliding	slide	VERB
bracis-33563	76	11	windows	window	NOUN
bracis-33563	76	12	,	,	PUNCT
bracis-33563	76	13	\(w_0\	\(w_0\	PROPN
bracis-33563	76	14	)	)	PUNCT
bracis-33563	76	15	and	and	CCONJ
bracis-33563	76	16	\(w_1\	\(w_1\	PROPN
bracis-33563	76	17	)	)	PUNCT
bracis-33563	76	18	,	,	PUNCT
bracis-33563	76	19	each	each	PRON
bracis-33563	76	20	corresponding	correspond	VERB
bracis-33563	76	21	to	to	ADP
bracis-33563	76	22	one	one	NUM
bracis-33563	76	23	class	class	NOUN
bracis-33563	76	24	.	.	PUNCT
bracis-33563	77	1	the	the	DET
bracis-33563	77	2	size	size	NOUN
bracis-33563	77	3	of	of	ADP
bracis-33563	77	4	each	each	DET
bracis-33563	77	5	sliding	slide	VERB
bracis-33563	77	6	window	window	NOUN
bracis-33563	77	7	is	be	AUX
bracis-33563	77	8	set	set	VERB
bracis-33563	77	9	to	to	PART
bracis-33563	77	10	be	be	AUX
bracis-33563	77	11	half	half	NOUN
bracis-33563	77	12	of	of	ADP
bracis-33563	77	13	the	the	DET
bracis-33563	77	14	chunk	chunk	ADJ
bracis-33563	77	15	size	size	NOUN
bracis-33563	77	16	that	that	PRON
bracis-33563	77	17	is	be	AUX
bracis-33563	77	18	used	use	VERB
bracis-33563	77	19	for	for	ADP
bracis-33563	77	20	model	model	NOUN
bracis-33563	77	21	processing	processing	NOUN
bracis-33563	77	22	.	.	PUNCT
bracis-33563	78	1	as	as	SCONJ
bracis-33563	78	2	each	each	DET
bracis-33563	78	3	new	new	ADJ
bracis-33563	78	4	chunk	chunk	NOUN
bracis-33563	78	5	of	of	ADP
bracis-33563	78	6	data	datum	NOUN
bracis-33563	78	7	arrives	arrive	VERB
bracis-33563	78	8	from	from	ADP
bracis-33563	78	9	the	the	DET
bracis-33563	78	10	data	data	NOUN
bracis-33563	78	11	stream	stream	NOUN
bracis-33563	78	12	,	,	PUNCT
bracis-33563	78	13	the	the	DET
bracis-33563	78	14	instances	instance	NOUN
bracis-33563	78	15	are	be	AUX
bracis-33563	78	16	added	add	VERB
bracis-33563	78	17	to	to	ADP
bracis-33563	78	18	the	the	DET
bracis-33563	78	19	corresponding	corresponding	ADJ
bracis-33563	78	20	sliding	sliding	ADJ
bracis-33563	78	21	window	window	NOUN
bracis-33563	78	22	.	.	PUNCT
bracis-33563	79	1	if	if	SCONJ
bracis-33563	79	2	a	a	DET
bracis-33563	79	3	sliding	slide	VERB
bracis-33563	79	4	window	window	NOUN
bracis-33563	79	5	is	be	AUX
bracis-33563	79	6	full	full	ADJ
bracis-33563	79	7	,	,	PUNCT
bracis-33563	79	8	meaning	mean	VERB
bracis-33563	79	9	the	the	DET
bracis-33563	79	10	number	number	NOUN
bracis-33563	79	11	of	of	ADP
bracis-33563	79	12	instances	instance	NOUN
bracis-33563	79	13	equals	equal	VERB
bracis-33563	79	14	the	the	DET
bracis-33563	79	15	predefined	predefine	VERB
bracis-33563	79	16	size	size	NOUN
bracis-33563	79	17	,	,	PUNCT
bracis-33563	79	18	the	the	DET
bracis-33563	79	19	oldest	old	ADJ
bracis-33563	79	20	instance	instance	NOUN
bracis-33563	79	21	is	be	AUX
bracis-33563	79	22	discarded	discard	VERB
bracis-33563	79	23	to	to	PART
bracis-33563	79	24	make	make	VERB
bracis-33563	79	25	room	room	NOUN
bracis-33563	79	26	for	for	ADP
bracis-33563	79	27	the	the	DET
bracis-33563	79	28	newest	new	ADJ
bracis-33563	79	29	one	one	NUM
bracis-33563	79	30	.	.	PUNCT
bracis-33563	80	1	this	this	DET
bracis-33563	80	2	policy	policy	NOUN
bracis-33563	80	3	of	of	ADP
bracis-33563	80	4	expelling	expel	VERB
bracis-33563	80	5	older	old	ADJ
bracis-33563	80	6	instances	instance	NOUN
bracis-33563	80	7	helps	help	VERB
bracis-33563	80	8	accommodate	accommodate	VERB
bracis-33563	80	9	concept	concept	NOUN
bracis-33563	80	10	drift	drift	NOUN
bracis-33563	80	11	,	,	PUNCT
bracis-33563	80	12	as	as	SCONJ
bracis-33563	80	13	instances	instance	NOUN
bracis-33563	80	14	naturally	naturally	ADV
bracis-33563	80	15	exit	exit	VERB
bracis-33563	80	16	the	the	DET
bracis-33563	80	17	cache	cache	NOUN
bracis-33563	80	18	over	over	ADP
bracis-33563	80	19	time	time	NOUN
bracis-33563	80	20	,	,	PUNCT
bracis-33563	80	21	thereby	thereby	ADV
bracis-33563	80	22	reflecting	reflect	VERB
bracis-33563	80	23	the	the	DET
bracis-33563	80	24	changing	change	VERB
bracis-33563	80	25	nature	nature	NOUN
bracis-33563	80	26	of	of	ADP
bracis-33563	80	27	the	the	DET
bracis-33563	80	28	data	data	NOUN
bracis-33563	80	29	stream	stream	NOUN
bracis-33563	80	30	.	.	PUNCT
bracis-33563	81	1	algorithm	algorithm	PROPN
bracis-33563	81	2	 	 	SPACE
bracis-33563	81	3	1	1	NUM
bracis-33563	81	4	shows	show	VERB
bracis-33563	81	5	the	the	DET
bracis-33563	81	6	fillwindow	fillwindow	NOUN
bracis-33563	81	7	function	function	NOUN
bracis-33563	81	8	.	.	PUNCT
bracis-33563	82	1	in	in	ADP
bracis-33563	82	2	this	this	DET
bracis-33563	82	3	function	function	NOUN
bracis-33563	82	4	,	,	PUNCT
bracis-33563	82	5	the	the	DET
bracis-33563	82	6	algorithm	algorithm	NOUN
bracis-33563	82	7	takes	take	VERB
bracis-33563	82	8	as	as	ADP
bracis-33563	82	9	input	input	NOUN
bracis-33563	82	10	the	the	DET
bracis-33563	82	11	current	current	ADJ
bracis-33563	82	12	sliding	slide	VERB
bracis-33563	82	13	window	window	NOUN
bracis-33563	82	14	,	,	PUNCT
bracis-33563	82	15	the	the	DET
bracis-33563	82	16	target	target	NOUN
bracis-33563	82	17	class	class	NOUN
bracis-33563	82	18	covered	cover	VERB
bracis-33563	82	19	by	by	ADP
bracis-33563	82	20	this	this	DET
bracis-33563	82	21	sliding	slide	VERB
bracis-33563	82	22	window	window	NOUN
bracis-33563	82	23	(	(	PUNCT
bracis-33563	82	24	desiredclass	desiredclass	PROPN
bracis-33563	82	25	)	)	PUNCT
bracis-33563	82	26	,	,	PUNCT
bracis-33563	82	27	the	the	DET
bracis-33563	82	28	current	current	ADJ
bracis-33563	82	29	chunk	chunk	NOUN
bracis-33563	82	30	of	of	ADP
bracis-33563	82	31	data	datum	NOUN
bracis-33563	82	32	(	(	PUNCT
bracis-33563	82	33	\(s_i\	\(s_i\	NOUN
bracis-33563	82	34	)	)	PUNCT
bracis-33563	82	35	)	)	PUNCT
bracis-33563	82	36	,	,	PUNCT
bracis-33563	82	37	and	and	CCONJ
bracis-33563	82	38	the	the	DET
bracis-33563	82	39	window	window	NOUN
bracis-33563	82	40	max	max	PROPN
bracis-33563	82	41	size	size	NOUN
bracis-33563	82	42	(	(	PUNCT
bracis-33563	82	43	cs	cs	PROPN
bracis-33563	82	44	)	)	PUNCT
bracis-33563	82	45	.	.	PUNCT
bracis-33563	83	1	the	the	DET
bracis-33563	83	2	chunk	chunk	NOUN
bracis-33563	83	3	is	be	AUX
bracis-33563	83	4	traversed	traverse	VERB
bracis-33563	83	5	searching	search	VERB
bracis-33563	83	6	for	for	ADP
bracis-33563	83	7	instances	instance	NOUN
bracis-33563	83	8	of	of	ADP
bracis-33563	83	9	the	the	DET
bracis-33563	83	10	desired	desire	VERB
bracis-33563	83	11	class	class	NOUN
bracis-33563	83	12	(	(	PUNCT
bracis-33563	83	13	lines	line	NOUN
bracis-33563	83	14	2	2	NUM
bracis-33563	83	15	-	-	SYM
bracis-33563	83	16	3	3	NUM
bracis-33563	83	17	)	)	PUNCT
bracis-33563	83	18	,	,	PUNCT
bracis-33563	83	19	and	and	CCONJ
bracis-33563	83	20	upon	upon	SCONJ
bracis-33563	83	21	finding	find	VERB
bracis-33563	83	22	an	an	DET
bracis-33563	83	23	instance	instance	NOUN
bracis-33563	83	24	,	,	PUNCT
bracis-33563	83	25	it	it	PRON
bracis-33563	83	26	is	be	AUX
bracis-33563	83	27	added	add	VERB
bracis-33563	83	28	to	to	ADP
bracis-33563	83	29	the	the	DET
bracis-33563	83	30	sliding	slide	VERB
bracis-33563	83	31	window	window	NOUN
bracis-33563	83	32	(	(	PUNCT
bracis-33563	83	33	line	line	NOUN
bracis-33563	83	34	4	4	NUM
bracis-33563	83	35	)	)	PUNCT
bracis-33563	83	36	.	.	PUNCT
bracis-33563	84	1	after	after	ADP
bracis-33563	84	2	adding	add	VERB
bracis-33563	84	3	a	a	DET
bracis-33563	84	4	new	new	ADJ
bracis-33563	84	5	instance	instance	NOUN
bracis-33563	84	6	to	to	ADP
bracis-33563	84	7	the	the	DET
bracis-33563	84	8	sliding	slide	VERB
bracis-33563	84	9	window	window	NOUN
bracis-33563	84	10	,	,	PUNCT
bracis-33563	84	11	it	it	PRON
bracis-33563	84	12	checks	check	VERB
bracis-33563	84	13	whether	whether	SCONJ
bracis-33563	84	14	its	its	PRON
bracis-33563	84	15	size	size	NOUN
bracis-33563	84	16	has	have	AUX
bracis-33563	84	17	exceeded	exceed	VERB
bracis-33563	84	18	cs	cs	ADJ
bracis-33563	84	19	,	,	PUNCT
bracis-33563	84	20	and	and	CCONJ
bracis-33563	84	21	if	if	SCONJ
bracis-33563	84	22	so	so	ADV
bracis-33563	84	23	,	,	PUNCT
bracis-33563	84	24	removes	remove	VERB
bracis-33563	84	25	the	the	DET
bracis-33563	84	26	oldest	old	ADJ
bracis-33563	84	27	instance	instance	NOUN
bracis-33563	84	28	from	from	ADP
bracis-33563	84	29	the	the	DET
bracis-33563	84	30	sliding	slide	VERB
bracis-33563	84	31	window	window	NOUN
bracis-33563	84	32	(	(	PUNCT
bracis-33563	84	33	lines	line	NOUN
bracis-33563	84	34	5	5	NUM
bracis-33563	84	35	-	-	SYM
bracis-33563	84	36	7	7	NUM
bracis-33563	84	37	)	)	PUNCT
bracis-33563	84	38	.	.	PUNCT
bracis-33563	85	1	in	in	ADP
bracis-33563	85	2	the	the	DET
bracis-33563	85	3	end	end	NOUN
bracis-33563	85	4	,	,	PUNCT
bracis-33563	85	5	the	the	DET
bracis-33563	85	6	function	function	NOUN
bracis-33563	85	7	returns	return	VERB
bracis-33563	85	8	the	the	DET
bracis-33563	85	9	window	window	NOUN
bracis-33563	85	10	vector	vector	NOUN
bracis-33563	85	11	incremented	incremente	VERB
bracis-33563	85	12	by	by	ADP
bracis-33563	85	13	the	the	DET
bracis-33563	85	14	new	new	ADJ
bracis-33563	85	15	instances	instance	NOUN
bracis-33563	85	16	of	of	ADP
bracis-33563	85	17	the	the	DET
bracis-33563	85	18	desiredclass	desiredclass	NOUN
bracis-33563	85	19	contained	contain	VERB
bracis-33563	85	20	in	in	ADP
bracis-33563	85	21	the	the	DET
bracis-33563	85	22	i	i	PROPN
bracis-33563	85	23	-	-	PUNCT
bracis-33563	85	24	th	th	VERB
bracis-33563	85	25	chunk	chunk	NOUN
bracis-33563	85	26	.	.	PUNCT
bracis-33563	86	1	algorithm	algorithm	PROPN
bracis-33563	86	2	1	1	NUM
bracis-33563	86	3	fillwindow	fillwindow	NOUN
bracis-33563	86	4	function	function	NOUN
bracis-33563	86	5	full	full	ADJ
bracis-33563	86	6	size	size	NOUN
bracis-33563	86	7	image	image	NOUN
bracis-33563	86	8	when	when	SCONJ
bracis-33563	86	9	the	the	DET
bracis-33563	86	10	baswe	baswe	NOUN
bracis-33563	86	11	model	model	NOUN
bracis-33563	86	12	is	be	AUX
bracis-33563	86	13	trained	train	VERB
bracis-33563	86	14	,	,	PUNCT
bracis-33563	86	15	if	if	SCONJ
bracis-33563	86	16	any	any	PRON
bracis-33563	86	17	of	of	ADP
bracis-33563	86	18	the	the	DET
bracis-33563	86	19	sliding	slide	VERB
bracis-33563	86	20	windows	window	NOUN
bracis-33563	86	21	is	be	AUX
bracis-33563	86	22	not	not	PART
bracis-33563	86	23	fully	fully	ADV
bracis-33563	86	24	populated	populated	ADJ
bracis-33563	86	25	,	,	PUNCT
bracis-33563	86	26	oversampling	oversample	VERB
bracis-33563	86	27	is	be	AUX
bracis-33563	86	28	performed	perform	VERB
bracis-33563	86	29	.	.	PUNCT
bracis-33563	87	1	the	the	DET
bracis-33563	87	2	oversampling	oversample	VERB
bracis-33563	87	3	function	function	NOUN
bracis-33563	87	4	iterates	iterate	VERB
bracis-33563	87	5	over	over	ADP
bracis-33563	87	6	the	the	DET
bracis-33563	87	7	vector	vector	NOUN
bracis-33563	87	8	from	from	ADP
bracis-33563	87	9	the	the	DET
bracis-33563	87	10	most	most	ADV
bracis-33563	87	11	recent	recent	ADJ
bracis-33563	87	12	to	to	ADP
bracis-33563	87	13	the	the	DET
bracis-33563	87	14	oldest	old	ADJ
bracis-33563	87	15	instance	instance	NOUN
bracis-33563	87	16	,	,	PUNCT
bracis-33563	87	17	replicating	replicate	VERB
bracis-33563	87	18	instances	instance	NOUN
bracis-33563	87	19	until	until	SCONJ
bracis-33563	87	20	the	the	DET
bracis-33563	87	21	number	number	NOUN
bracis-33563	87	22	of	of	ADP
bracis-33563	87	23	instances	instance	NOUN
bracis-33563	87	24	required	require	VERB
bracis-33563	87	25	to	to	PART
bracis-33563	87	26	complete	complete	VERB
bracis-33563	87	27	the	the	DET
bracis-33563	87	28	chunk	chunk	ADJ
bracis-33563	87	29	size	size	NOUN
bracis-33563	87	30	is	be	AUX
bracis-33563	87	31	achieved	achieve	VERB
bracis-33563	87	32	.	.	PUNCT
bracis-33563	88	1	in	in	ADP
bracis-33563	88	2	this	this	DET
bracis-33563	88	3	way	way	NOUN
bracis-33563	88	4	,	,	PUNCT
bracis-33563	88	5	the	the	DET
bracis-33563	88	6	sliding	slide	VERB
bracis-33563	88	7	window	window	NOUN
bracis-33563	88	8	approach	approach	NOUN
bracis-33563	88	9	within	within	ADP
bracis-33563	88	10	the	the	DET
bracis-33563	88	11	baswe	baswe	NOUN
bracis-33563	88	12	algorithm	algorithm	NOUN
bracis-33563	88	13	not	not	PART
bracis-33563	88	14	only	only	ADV
bracis-33563	88	15	ensures	ensure	VERB
bracis-33563	88	16	an	an	DET
bracis-33563	88	17	up	up	ADP
bracis-33563	88	18	-	-	PUNCT
bracis-33563	88	19	to	to	ADP
bracis-33563	88	20	-	-	PUNCT
bracis-33563	88	21	date	date	NOUN
bracis-33563	88	22	representation	representation	NOUN
bracis-33563	88	23	of	of	ADP
bracis-33563	88	24	the	the	DET
bracis-33563	88	25	data	datum	NOUN
bracis-33563	88	26	for	for	ADP
bracis-33563	88	27	model	model	NOUN
bracis-33563	88	28	training	training	NOUN
bracis-33563	88	29	but	but	CCONJ
bracis-33563	88	30	also	also	ADV
bracis-33563	88	31	plays	play	VERB
bracis-33563	88	32	an	an	DET
bracis-33563	88	33	instrumental	instrumental	ADJ
bracis-33563	88	34	role	role	NOUN
bracis-33563	88	35	in	in	ADP
bracis-33563	88	36	managing	manage	VERB
bracis-33563	88	37	class	class	NOUN
bracis-33563	88	38	imbalance	imbalance	NOUN
bracis-33563	88	39	and	and	CCONJ
bracis-33563	88	40	concept	concept	NOUN
bracis-33563	88	41	drift	drift	NOUN
bracis-33563	88	42	.	.	PUNCT
bracis-33563	89	1	3.3	3.3	NUM
bracis-33563	89	2	baswe	baswe	NOUN
bracis-33563	89	3	’s	’s	PART
bracis-33563	89	4	pseudocode	pseudocode	PROPN
bracis-33563	89	5	baswe	baswe	PROPN
bracis-33563	89	6	’s	’s	PART
bracis-33563	89	7	pseudocode	pseudocode	PROPN
bracis-33563	89	8	is	be	AUX
bracis-33563	89	9	delineated	delineate	VERB
bracis-33563	89	10	in	in	ADP
bracis-33563	89	11	algorithm	algorithm	NOUN
bracis-33563	89	12	 	 	SPACE
bracis-33563	89	13	2	2	NUM
bracis-33563	89	14	,	,	PUNCT
bracis-33563	89	15	and	and	CCONJ
bracis-33563	89	16	is	be	AUX
bracis-33563	89	17	segmented	segment	VERB
bracis-33563	89	18	into	into	ADP
bracis-33563	89	19	four	four	NUM
bracis-33563	89	20	stages	stage	NOUN
bracis-33563	89	21	:	:	PUNCT
bracis-33563	89	22	ensemble	ensemble	ADJ
bracis-33563	89	23	initialization	initialization	NOUN
bracis-33563	89	24	,	,	PUNCT
bracis-33563	89	25	ensemble	ensemble	ADJ
bracis-33563	89	26	experts	expert	NOUN
bracis-33563	89	27	update	update	VERB
bracis-33563	89	28	,	,	PUNCT
bracis-33563	89	29	training	training	NOUN
bracis-33563	89	30	of	of	ADP
bracis-33563	89	31	the	the	DET
bracis-33563	89	32	new	new	ADJ
bracis-33563	89	33	\	\	PROPN
bracis-33563	89	34	(	(	PUNCT
bracis-33563	89	35	q	q	NOUN
bracis-33563	89	36	\	\	ADJ
bracis-33563	89	37	)	)	PUNCT
bracis-33563	89	38	components	component	NOUN
bracis-33563	89	39	,	,	PUNCT
bracis-33563	89	40	and	and	CCONJ
bracis-33563	89	41	replacement	replacement	NOUN
bracis-33563	89	42	of	of	ADP
bracis-33563	89	43	the	the	DET
bracis-33563	89	44	weakest	weak	ADJ
bracis-33563	89	45	\	\	NOUN
bracis-33563	89	46	(	(	PUNCT
bracis-33563	89	47	\gamma	\gamma	PROPN
bracis-33563	89	48	\	\	NOUN
bracis-33563	89	49	)	)	PUNCT
bracis-33563	89	50	expert	expert	NOUN
bracis-33563	89	51	in	in	ADP
bracis-33563	89	52	the	the	DET
bracis-33563	89	53	ensemble	ensemble	ADJ
bracis-33563	89	54	\	\	NOUN
bracis-33563	89	55	(	(	PUNCT
bracis-33563	89	56	\epsilon	\epsilon	NOUN
bracis-33563	89	57	\	\	NOUN
bracis-33563	89	58	)	)	PUNCT
bracis-33563	89	59	.	.	PUNCT
bracis-33563	90	1	algorithm	algorithm	NOUN
bracis-33563	90	2	2	2	NUM
bracis-33563	90	3	baswe	baswe	NOUN
bracis-33563	90	4	:	:	PUNCT
bracis-33563	90	5	balanced	balanced	ADJ
bracis-33563	90	6	accuracy	accuracy	NOUN
bracis-33563	90	7	-	-	PUNCT
bracis-33563	90	8	based	base	VERB
bracis-33563	90	9	sliding	slide	VERB
bracis-33563	90	10	window	window	NOUN
bracis-33563	90	11	ensemble	ensemble	ADJ
bracis-33563	90	12	full	full	ADJ
bracis-33563	90	13	size	size	NOUN
bracis-33563	90	14	image	image	NOUN
bracis-33563	90	15	the	the	DET
bracis-33563	90	16	main	main	ADJ
bracis-33563	90	17	loop	loop	NOUN
bracis-33563	90	18	(	(	PUNCT
bracis-33563	90	19	lines	line	NOUN
bracis-33563	90	20	3	3	NUM
bracis-33563	90	21	-	-	SYM
bracis-33563	90	22	34	34	NUM
bracis-33563	90	23	)	)	PUNCT
bracis-33563	90	24	represents	represent	VERB
bracis-33563	90	25	the	the	DET
bracis-33563	90	26	algorithm	algorithm	NOUN
bracis-33563	90	27	over	over	ADP
bracis-33563	90	28	the	the	DET
bracis-33563	90	29	chunks	chunk	NOUN
bracis-33563	90	30	that	that	PRON
bracis-33563	90	31	arrive	arrive	VERB
bracis-33563	90	32	throughout	throughout	ADP
bracis-33563	90	33	the	the	DET
bracis-33563	90	34	data	data	NOUN
bracis-33563	90	35	stream	stream	NOUN
bracis-33563	90	36	at	at	ADP
bracis-33563	90	37	each	each	DET
bracis-33563	90	38	iteration	iteration	NOUN
bracis-33563	90	39	.	.	PUNCT
bracis-33563	91	1	in	in	ADP
bracis-33563	91	2	lines	line	NOUN
bracis-33563	91	3	\(4	\(4	ADV
bracis-33563	91	4	-	-	PUNCT
bracis-33563	91	5	5\	5\	NUM
bracis-33563	91	6	)	)	PUNCT
bracis-33563	91	7	,	,	PUNCT
bracis-33563	91	8	two	two	NUM
bracis-33563	91	9	sliding	slide	VERB
bracis-33563	91	10	windows	window	NOUN
bracis-33563	91	11	\(w_0\	\(w_0\	PROPN
bracis-33563	91	12	)	)	PUNCT
bracis-33563	91	13	and	and	CCONJ
bracis-33563	91	14	\(w_1\	\(w_1\	PROPN
bracis-33563	91	15	)	)	PUNCT
bracis-33563	91	16	are	be	AUX
bracis-33563	91	17	filled	fill	VERB
bracis-33563	91	18	,	,	PUNCT
bracis-33563	91	19	each	each	PRON
bracis-33563	91	20	for	for	ADP
bracis-33563	91	21	one	one	NUM
bracis-33563	91	22	class	class	NOUN
bracis-33563	91	23	.	.	PUNCT
bracis-33563	92	1	oversampling	oversampling	NOUN
bracis-33563	92	2	is	be	AUX
bracis-33563	92	3	then	then	ADV
bracis-33563	92	4	performed	perform	VERB
bracis-33563	92	5	by	by	ADP
bracis-33563	92	6	the	the	DET
bracis-33563	92	7	oversampling	oversample	VERB
bracis-33563	92	8	function	function	NOUN
bracis-33563	92	9	in	in	ADP
bracis-33563	92	10	lines	line	NOUN
bracis-33563	92	11	\(6	\(6	PROPN
bracis-33563	92	12	-	-	SYM
bracis-33563	92	13	7\	7\	NOUN
bracis-33563	92	14	)	)	PUNCT
bracis-33563	92	15	,	,	PUNCT
bracis-33563	92	16	creating	create	VERB
bracis-33563	92	17	\(w'_0\	\(w'_0\	NOUN
bracis-33563	92	18	)	)	PUNCT
bracis-33563	92	19	and	and	CCONJ
bracis-33563	92	20	\(w'_1\	\(w'_1\	NOUN
bracis-33563	92	21	)	)	PUNCT
bracis-33563	92	22	,	,	PUNCT
bracis-33563	92	23	which	which	PRON
bracis-33563	92	24	are	be	AUX
bracis-33563	92	25	joined	join	VERB
bracis-33563	92	26	to	to	PART
bracis-33563	92	27	form	form	VERB
bracis-33563	92	28	the	the	DET
bracis-33563	92	29	chunk	chunk	ADJ
bracis-33563	92	30	\(s'_i\	\(s'_i\	NOUN
bracis-33563	92	31	)	)	PUNCT
bracis-33563	92	32	in	in	ADP
bracis-33563	92	33	line	line	NOUN
bracis-33563	92	34	8	8	NUM
bracis-33563	92	35	.	.	PUNCT
bracis-33563	93	1	this	this	DET
bracis-33563	93	2	chunk	chunk	NOUN
bracis-33563	93	3	will	will	AUX
bracis-33563	93	4	be	be	AUX
bracis-33563	93	5	used	use	VERB
bracis-33563	93	6	by	by	ADP
bracis-33563	93	7	the	the	DET
bracis-33563	93	8	experts	expert	NOUN
bracis-33563	93	9	in	in	ADP
bracis-33563	93	10	the	the	DET
bracis-33563	93	11	training	training	NOUN
bracis-33563	93	12	phase	phase	NOUN
bracis-33563	93	13	,	,	PUNCT
bracis-33563	93	14	while	while	SCONJ
bracis-33563	93	15	the	the	DET
bracis-33563	93	16	original	original	ADJ
bracis-33563	93	17	chunk	chunk	NOUN
bracis-33563	93	18	\(s_i\	\(s_i\	NOUN
bracis-33563	93	19	)	)	PUNCT
bracis-33563	93	20	will	will	AUX
bracis-33563	93	21	be	be	AUX
bracis-33563	93	22	used	use	VERB
bracis-33563	93	23	to	to	PART
bracis-33563	93	24	compute	compute	VERB
bracis-33563	93	25	the	the	DET
bracis-33563	93	26	performance	performance	NOUN
bracis-33563	93	27	.	.	PUNCT
bracis-33563	94	1	upon	upon	SCONJ
bracis-33563	94	2	receiving	receive	VERB
bracis-33563	94	3	the	the	DET
bracis-33563	94	4	first	first	ADJ
bracis-33563	94	5	chunk	chunk	NOUN
bracis-33563	94	6	,	,	PUNCT
bracis-33563	94	7	\(s_1\	\(s_1\	PROPN
bracis-33563	94	8	)	)	PUNCT
bracis-33563	94	9	,	,	PUNCT
bracis-33563	94	10	we	we	PRON
bracis-33563	94	11	have	have	VERB
bracis-33563	94	12	the	the	DET
bracis-33563	94	13	process	process	NOUN
bracis-33563	94	14	of	of	ADP
bracis-33563	94	15	creating	create	VERB
bracis-33563	94	16	and	and	CCONJ
bracis-33563	94	17	initializing	initialize	VERB
bracis-33563	94	18	the	the	DET
bracis-33563	94	19	ensemble	ensemble	NOUN
bracis-33563	94	20	of	of	ADP
bracis-33563	94	21	k	k	PROPN
bracis-33563	94	22	experts	expert	NOUN
bracis-33563	94	23	,	,	PUNCT
bracis-33563	94	24	represented	represent	VERB
bracis-33563	94	25	in	in	ADP
bracis-33563	94	26	lines	line	NOUN
bracis-33563	94	27	\(9	\(9	ADJ
bracis-33563	94	28	-	-	PUNCT
bracis-33563	94	29	15\	15\	NUM
bracis-33563	94	30	)	)	PUNCT
bracis-33563	94	31	.	.	PUNCT
bracis-33563	95	1	for	for	ADP
bracis-33563	95	2	each	each	PRON
bracis-33563	95	3	of	of	ADP
bracis-33563	95	4	the	the	DET
bracis-33563	95	5	\	\	PROPN
bracis-33563	95	6	(	(	PUNCT
bracis-33563	95	7	k	k	PROPN
bracis-33563	95	8	\	\	ADJ
bracis-33563	95	9	)	)	PUNCT
bracis-33563	95	10	experts	expert	NOUN
bracis-33563	95	11	in	in	ADP
bracis-33563	95	12	the	the	DET
bracis-33563	95	13	ensemble	ensemble	ADJ
bracis-33563	95	14	,	,	PUNCT
bracis-33563	95	15	a	a	DET
bracis-33563	95	16	random	random	ADJ
bracis-33563	95	17	integer	integer	NOUN
bracis-33563	95	18	number	number	NOUN
bracis-33563	95	19	\	\	PROPN
bracis-33563	95	20	(	(	PUNCT
bracis-33563	95	21	r	r	NOUN
bracis-33563	95	22	\	\	NOUN
bracis-33563	95	23	)	)	PUNCT
bracis-33563	95	24	is	be	AUX
bracis-33563	95	25	selected	select	VERB
bracis-33563	95	26	(	(	PUNCT
bracis-33563	95	27	line	line	NOUN
bracis-33563	95	28	11	11	NUM
bracis-33563	95	29	)	)	PUNCT
bracis-33563	95	30	,	,	PUNCT
bracis-33563	95	31	drawn	draw	VERB
bracis-33563	95	32	from	from	ADP
bracis-33563	95	33	uniform	uniform	ADJ
bracis-33563	95	34	probability	probability	NOUN
bracis-33563	95	35	\([1,f]\	\([1,f]\	PROPN
bracis-33563	95	36	)	)	PUNCT
bracis-33563	95	37	.	.	PUNCT
bracis-33563	96	1	this	this	DET
bracis-33563	96	2	value	value	NOUN
bracis-33563	96	3	,	,	PUNCT
bracis-33563	96	4	\	\	PROPN
bracis-33563	96	5	(	(	PUNCT
bracis-33563	96	6	r	r	NOUN
bracis-33563	96	7	\	\	PROPN
bracis-33563	96	8	)	)	PUNCT
bracis-33563	96	9	,	,	PUNCT
bracis-33563	96	10	determines	determine	VERB
bracis-33563	96	11	the	the	DET
bracis-33563	96	12	size	size	NOUN
bracis-33563	96	13	of	of	ADP
bracis-33563	96	14	the	the	DET
bracis-33563	96	15	feature	feature	NOUN
bracis-33563	96	16	subspace	subspace	NOUN
bracis-33563	96	17	that	that	PRON
bracis-33563	96	18	will	will	AUX
bracis-33563	96	19	be	be	AUX
bracis-33563	96	20	used	use	VERB
bracis-33563	96	21	for	for	ADP
bracis-33563	96	22	the	the	DET
bracis-33563	96	23	\	\	NOUN
bracis-33563	96	24	(	(	PUNCT
bracis-33563	96	25	j	j	PROPN
bracis-33563	96	26	\)-th	\)-th	PROPN
bracis-33563	96	27	expert	expert	NOUN
bracis-33563	96	28	.	.	PUNCT
bracis-33563	97	1	in	in	ADP
bracis-33563	97	2	line	line	NOUN
bracis-33563	97	3	12	12	NUM
bracis-33563	97	4	,	,	PUNCT
bracis-33563	97	5	the	the	DET
bracis-33563	97	6	choosefeaturessubspace	choosefeaturessubspace	NOUN
bracis-33563	97	7	method	method	NOUN
bracis-33563	97	8	selects	select	VERB
bracis-33563	97	9	a	a	DET
bracis-33563	97	10	\	\	NOUN
bracis-33563	97	11	(	(	PUNCT
bracis-33563	97	12	r	r	NOUN
bracis-33563	97	13	\)-dimensional	\)-dimensional	ADJ
bracis-33563	97	14	random	random	ADJ
bracis-33563	97	15	feature	feature	NOUN
bracis-33563	97	16	subspace	subspace	NOUN
bracis-33563	97	17	for	for	ADP
bracis-33563	97	18	the	the	DET
bracis-33563	97	19	\	\	NOUN
bracis-33563	97	20	(	(	PUNCT
bracis-33563	97	21	j	j	PROPN
bracis-33563	97	22	\)-th	\)-th	PROPN
bracis-33563	97	23	expert	expert	NOUN
bracis-33563	97	24	,	,	PUNCT
bracis-33563	97	25	with	with	ADP
bracis-33563	97	26	this	this	DET
bracis-33563	97	27	information	information	NOUN
bracis-33563	97	28	stored	store	VERB
bracis-33563	97	29	in	in	ADP
bracis-33563	97	30	the	the	DET
bracis-33563	97	31	variable	variable	ADJ
bracis-33563	97	32	\	\	NOUN
bracis-33563	97	33	(	(	PUNCT
bracis-33563	97	34	\varphi	\varphi	PROPN
bracis-33563	97	35	_	_	PUNCT
bracis-33563	97	36	j	j	PROPN
bracis-33563	97	37	\	\	PROPN
bracis-33563	97	38	)	)	PUNCT
bracis-33563	97	39	,	,	PUNCT
bracis-33563	97	40	that	that	PRON
bracis-33563	97	41	will	will	AUX
bracis-33563	97	42	be	be	AUX
bracis-33563	97	43	used	use	VERB
bracis-33563	97	44	to	to	PART
bracis-33563	97	45	generate	generate	VERB
bracis-33563	97	46	diversity	diversity	NOUN
bracis-33563	97	47	in	in	ADP
bracis-33563	97	48	the	the	DET
bracis-33563	97	49	ensemble	ensemble	ADJ
bracis-33563	97	50	and	and	CCONJ
bracis-33563	97	51	avoid	avoid	VERB
bracis-33563	97	52	noisy	noisy	ADJ
bracis-33563	97	53	data	datum	NOUN
bracis-33563	97	54	.	.	PUNCT
bracis-33563	98	1	in	in	ADP
bracis-33563	98	2	line	line	NOUN
bracis-33563	98	3	13	13	NUM
bracis-33563	98	4	,	,	PUNCT
bracis-33563	98	5	the	the	DET
bracis-33563	98	6	filterfeaturessubspace	filterfeaturessubspace	NOUN
bracis-33563	98	7	method	method	NOUN
bracis-33563	98	8	receives	receive	VERB
bracis-33563	98	9	two	two	NUM
bracis-33563	98	10	parameters	parameter	NOUN
bracis-33563	98	11	,	,	PUNCT
bracis-33563	98	12	the	the	DET
bracis-33563	98	13	\	\	NOUN
bracis-33563	98	14	(	(	PUNCT
bracis-33563	98	15	\varphi	\varphi	PROPN
bracis-33563	98	16	_	_	PUNCT
bracis-33563	98	17	j	j	NOUN
bracis-33563	98	18	\	\	PROPN
bracis-33563	98	19	)	)	PUNCT
bracis-33563	98	20	and	and	CCONJ
bracis-33563	98	21	the	the	DET
bracis-33563	98	22	chunk	chunk	ADJ
bracis-33563	98	23	\(s_1'\	\(s_1'\	PROPN
bracis-33563	98	24	)	)	PUNCT
bracis-33563	98	25	,	,	PUNCT
bracis-33563	98	26	and	and	CCONJ
bracis-33563	98	27	then	then	ADV
bracis-33563	98	28	returns	return	VERB
bracis-33563	98	29	the	the	DET
bracis-33563	98	30	chunk	chunk	ADJ
bracis-33563	98	31	\(s_1'\	\(s_1'\	NOUN
bracis-33563	98	32	)	)	PUNCT
bracis-33563	98	33	filtering	filter	VERB
bracis-33563	98	34	only	only	ADV
bracis-33563	98	35	the	the	DET
bracis-33563	98	36	features	feature	NOUN
bracis-33563	98	37	contained	contain	VERB
bracis-33563	98	38	in	in	ADP
bracis-33563	98	39	the	the	DET
bracis-33563	98	40	\	\	NOUN
bracis-33563	98	41	(	(	PUNCT
bracis-33563	98	42	\varphi	\varphi	PROPN
bracis-33563	98	43	_	_	PUNCT
bracis-33563	98	44	j	j	NOUN
bracis-33563	98	45	\	\	ADJ
bracis-33563	98	46	)	)	PUNCT
bracis-33563	98	47	subspace	subspace	NOUN
bracis-33563	98	48	.	.	PUNCT
bracis-33563	99	1	the	the	DET
bracis-33563	99	2	classifier	classifier	NOUN
bracis-33563	99	3	\	\	PROPN
bracis-33563	99	4	(	(	PUNCT
bracis-33563	99	5	\gamma	\gamma	NUM
bracis-33563	99	6	_	_	PRON
bracis-33563	99	7	{	{	PUNCT
bracis-33563	99	8	j	j	PROPN
bracis-33563	99	9	}	}	PUNCT
bracis-33563	99	10	\	\	PROPN
bracis-33563	99	11	)	)	PUNCT
bracis-33563	99	12	is	be	AUX
bracis-33563	99	13	then	then	ADV
bracis-33563	99	14	initialized	initialize	VERB
bracis-33563	99	15	,	,	PUNCT
bracis-33563	99	16	training	training	NOUN
bracis-33563	99	17	with	with	ADP
bracis-33563	99	18	the	the	DET
bracis-33563	99	19	chunk	chunk	ADJ
bracis-33563	99	20	\(s_1'\	\(s_1'\	NOUN
bracis-33563	99	21	)	)	PUNCT
bracis-33563	99	22	filtered	filter	VERB
bracis-33563	99	23	by	by	ADP
bracis-33563	99	24	the	the	DET
bracis-33563	99	25	filterfeaturessubspace	filterfeaturessubspace	NOUN
bracis-33563	99	26	method	method	NOUN
bracis-33563	99	27	.	.	PUNCT
bracis-33563	100	1	the	the	DET
bracis-33563	100	2	balanced	balanced	ADJ
bracis-33563	100	3	accuracy	accuracy	NOUN
bracis-33563	100	4	of	of	ADP
bracis-33563	100	5	the	the	DET
bracis-33563	100	6	\	\	PROPN
bracis-33563	100	7	(	(	PUNCT
bracis-33563	100	8	j	j	NOUN
bracis-33563	100	9	\)-th	\)-th	PROPN
bracis-33563	100	10	expert	expert	NOUN
bracis-33563	100	11	is	be	AUX
bracis-33563	100	12	then	then	ADV
bracis-33563	100	13	computed	compute	VERB
bracis-33563	100	14	and	and	CCONJ
bracis-33563	100	15	stored	store	VERB
bracis-33563	100	16	in	in	ADP
bracis-33563	100	17	the	the	DET
bracis-33563	100	18	variable	variable	ADJ
bracis-33563	100	19	\(ba_j\	\(ba_j\	PROPN
bracis-33563	100	20	)	)	PUNCT
bracis-33563	100	21	(	(	PUNCT
bracis-33563	100	22	line	line	NOUN
bracis-33563	100	23	14	14	NUM
bracis-33563	100	24	)	)	PUNCT
bracis-33563	100	25	.	.	PUNCT
bracis-33563	101	1	the	the	DET
bracis-33563	101	2	ensemble	ensemble	ADJ
bracis-33563	101	3	model	model	NOUN
bracis-33563	101	4	update	update	NOUN
bracis-33563	101	5	is	be	AUX
bracis-33563	101	6	performed	perform	VERB
bracis-33563	101	7	in	in	ADP
bracis-33563	101	8	lines	line	NOUN
bracis-33563	101	9	17	17	NUM
bracis-33563	101	10	-	-	SYM
bracis-33563	101	11	20	20	NUM
bracis-33563	101	12	considering	consider	VERB
bracis-33563	101	13	the	the	DET
bracis-33563	101	14	subsequent	subsequent	ADJ
bracis-33563	101	15	chunks	chunk	NOUN
bracis-33563	101	16	.	.	PUNCT
bracis-33563	102	1	within	within	ADP
bracis-33563	102	2	this	this	DET
bracis-33563	102	3	process	process	NOUN
bracis-33563	102	4	,	,	PUNCT
bracis-33563	102	5	the	the	DET
bracis-33563	102	6	algorithm	algorithm	NOUN
bracis-33563	102	7	filters	filter	VERB
bracis-33563	102	8	the	the	DET
bracis-33563	102	9	feature	feature	NOUN
bracis-33563	102	10	subspace	subspace	NOUN
bracis-33563	102	11	\	\	PROPN
bracis-33563	102	12	(	(	PUNCT
bracis-33563	102	13	\varphi	\varphi	PROPN
bracis-33563	102	14	_	_	PUNCT
bracis-33563	102	15	j	j	X
bracis-33563	102	16	\	\	PROPN
bracis-33563	102	17	)	)	PUNCT
bracis-33563	102	18	from	from	ADP
bracis-33563	102	19	chunk	chunk	ADJ
bracis-33563	102	20	\	\	PROPN
bracis-33563	102	21	(	(	PUNCT
bracis-33563	102	22	s'_i	s'_i	NOUN
bracis-33563	102	23	\	\	PROPN
bracis-33563	102	24	)	)	PUNCT
bracis-33563	102	25	,	,	PUNCT
bracis-33563	102	26	conducts	conduct	VERB
bracis-33563	102	27	incremental	incremental	ADJ
bracis-33563	102	28	training	training	NOUN
bracis-33563	102	29	of	of	ADP
bracis-33563	102	30	\	\	PROPN
bracis-33563	102	31	(	(	PUNCT
bracis-33563	102	32	\gamma	\gamma	NUM
bracis-33563	102	33	_	_	PRON
bracis-33563	102	34	{	{	PUNCT
bracis-33563	102	35	j	j	PROPN
bracis-33563	102	36	}	}	PUNCT
bracis-33563	102	37	\	\	PROPN
bracis-33563	102	38	)	)	PUNCT
bracis-33563	102	39	(	(	PUNCT
bracis-33563	102	40	line	line	NOUN
bracis-33563	102	41	18	18	NUM
bracis-33563	102	42	)	)	PUNCT
bracis-33563	102	43	,	,	PUNCT
bracis-33563	102	44	and	and	CCONJ
bracis-33563	102	45	computes	compute	VERB
bracis-33563	102	46	the	the	DET
bracis-33563	102	47	balanced	balanced	ADJ
bracis-33563	102	48	accuracy	accuracy	NOUN
bracis-33563	102	49	of	of	ADP
bracis-33563	102	50	this	this	DET
bracis-33563	102	51	expert	expert	NOUN
bracis-33563	102	52	(	(	PUNCT
bracis-33563	102	53	line	line	NOUN
bracis-33563	102	54	19	19	NUM
bracis-33563	102	55	)	)	PUNCT
bracis-33563	102	56	.	.	PUNCT
bracis-33563	103	1	from	from	ADP
bracis-33563	103	2	lines	line	NOUN
bracis-33563	103	3	\(21	\(21	NOUN
bracis-33563	103	4	-	-	PUNCT
bracis-33563	103	5	26\	26\	NUM
bracis-33563	103	6	)	)	PUNCT
bracis-33563	103	7	,	,	PUNCT
bracis-33563	103	8	\	\	PROPN
bracis-33563	103	9	(	(	PUNCT
bracis-33563	103	10	q	q	NOUN
bracis-33563	103	11	\	\	ADJ
bracis-33563	103	12	)	)	PUNCT
bracis-33563	103	13	new	new	ADJ
bracis-33563	103	14	experts	expert	NOUN
bracis-33563	103	15	are	be	AUX
bracis-33563	103	16	trained	train	VERB
bracis-33563	103	17	.	.	PUNCT
bracis-33563	104	1	if	if	SCONJ
bracis-33563	104	2	these	these	DET
bracis-33563	104	3	new	new	ADJ
bracis-33563	104	4	experts	expert	NOUN
bracis-33563	104	5	exhibit	exhibit	VERB
bracis-33563	104	6	superior	superior	ADJ
bracis-33563	104	7	performance	performance	NOUN
bracis-33563	104	8	based	base	VERB
bracis-33563	104	9	on	on	ADP
bracis-33563	104	10	balanced	balanced	ADJ
bracis-33563	104	11	accuracy	accuracy	NOUN
bracis-33563	104	12	compared	compare	VERB
bracis-33563	104	13	to	to	ADP
bracis-33563	104	14	the	the	DET
bracis-33563	104	15	\	\	PROPN
bracis-33563	104	16	(	(	PUNCT
bracis-33563	104	17	q	q	NOUN
bracis-33563	104	18	\	\	NOUN
bracis-33563	104	19	)	)	PUNCT
bracis-33563	104	20	least	least	ADJ
bracis-33563	104	21	effective	effective	ADJ
bracis-33563	104	22	experts	expert	NOUN
bracis-33563	104	23	in	in	ADP
bracis-33563	104	24	the	the	DET
bracis-33563	104	25	ensemble	ensemble	NOUN
bracis-33563	104	26	,	,	PUNCT
bracis-33563	104	27	they	they	PRON
bracis-33563	104	28	will	will	AUX
bracis-33563	104	29	replace	replace	VERB
bracis-33563	104	30	the	the	DET
bracis-33563	104	31	latter	latter	ADJ
bracis-33563	104	32	.	.	PUNCT
bracis-33563	105	1	the	the	PRON
bracis-33563	105	2	higher	high	ADJ
bracis-33563	105	3	the	the	DET
bracis-33563	105	4	value	value	NOUN
bracis-33563	105	5	of	of	ADP
bracis-33563	105	6	\	\	PROPN
bracis-33563	105	7	(	(	PUNCT
bracis-33563	105	8	q	q	NOUN
bracis-33563	105	9	\	\	PROPN
bracis-33563	105	10	)	)	PUNCT
bracis-33563	105	11	,	,	PUNCT
bracis-33563	105	12	the	the	PRON
bracis-33563	105	13	more	more	ADV
bracis-33563	105	14	intense	intense	ADJ
bracis-33563	105	15	the	the	DET
bracis-33563	105	16	behavioral	behavioral	ADJ
bracis-33563	105	17	change	change	NOUN
bracis-33563	105	18	of	of	ADP
bracis-33563	105	19	the	the	DET
bracis-33563	105	20	ensemble	ensemble	ADJ
bracis-33563	105	21	tends	tend	VERB
bracis-33563	105	22	to	to	PART
bracis-33563	105	23	be	be	AUX
bracis-33563	105	24	,	,	PUNCT
bracis-33563	105	25	as	as	SCONJ
bracis-33563	105	26	more	more	ADJ
bracis-33563	105	27	components	component	NOUN
bracis-33563	105	28	can	can	AUX
bracis-33563	105	29	be	be	AUX
bracis-33563	105	30	replaced	replace	VERB
bracis-33563	105	31	in	in	ADP
bracis-33563	105	32	each	each	DET
bracis-33563	105	33	data	datum	NOUN
bracis-33563	105	34	chunk	chunk	NOUN
bracis-33563	105	35	.	.	PUNCT
bracis-33563	106	1	this	this	PRON
bracis-33563	106	2	presents	present	VERB
bracis-33563	106	3	both	both	CCONJ
bracis-33563	106	4	an	an	DET
bracis-33563	106	5	advantage	advantage	NOUN
bracis-33563	106	6	of	of	ADP
bracis-33563	106	7	rapid	rapid	ADJ
bracis-33563	106	8	adaptation	adaptation	NOUN
bracis-33563	106	9	and	and	CCONJ
bracis-33563	106	10	a	a	DET
bracis-33563	106	11	risk	risk	NOUN
bracis-33563	106	12	of	of	ADP
bracis-33563	106	13	undesirable	undesirable	ADJ
bracis-33563	106	14	abrupt	abrupt	ADJ
bracis-33563	106	15	changes	change	NOUN
bracis-33563	106	16	caused	cause	VERB
bracis-33563	106	17	by	by	ADP
bracis-33563	106	18	anomalous	anomalous	ADJ
bracis-33563	106	19	chunks	chunk	NOUN
bracis-33563	106	20	.	.	PUNCT
bracis-33563	107	1	in	in	ADP
bracis-33563	107	2	line	line	NOUN
bracis-33563	107	3	26	26	NUM
bracis-33563	107	4	,	,	PUNCT
bracis-33563	107	5	the	the	DET
bracis-33563	107	6	minbalancedaccuracy	minbalancedaccuracy	NOUN
bracis-33563	107	7	method	method	NOUN
bracis-33563	107	8	conducts	conduct	VERB
bracis-33563	107	9	a	a	DET
bracis-33563	107	10	search	search	NOUN
bracis-33563	107	11	for	for	ADP
bracis-33563	107	12	the	the	DET
bracis-33563	107	13	expert	expert	NOUN
bracis-33563	107	14	in	in	ADP
bracis-33563	107	15	the	the	DET
bracis-33563	107	16	ensemble	ensemble	ADJ
bracis-33563	107	17	\	\	NOUN
bracis-33563	107	18	(	(	PUNCT
bracis-33563	107	19	\epsilon	\epsilon	NOUN
bracis-33563	107	20	\	\	NOUN
bracis-33563	107	21	)	)	PUNCT
bracis-33563	107	22	with	with	ADP
bracis-33563	107	23	the	the	DET
bracis-33563	107	24	lowest	low	ADJ
bracis-33563	107	25	performance	performance	NOUN
bracis-33563	107	26	.	.	PUNCT
bracis-33563	108	1	the	the	DET
bracis-33563	108	2	result	result	NOUN
bracis-33563	108	3	returned	return	VERB
bracis-33563	108	4	by	by	ADP
bracis-33563	108	5	this	this	DET
bracis-33563	108	6	method	method	NOUN
bracis-33563	108	7	is	be	AUX
bracis-33563	108	8	then	then	ADV
bracis-33563	108	9	stored	store	VERB
bracis-33563	108	10	in	in	ADP
bracis-33563	108	11	\(ba_{min}\	\(ba_{min}\	PROPN
bracis-33563	108	12	)	)	PUNCT
bracis-33563	108	13	,	,	PUNCT
bracis-33563	108	14	the	the	DET
bracis-33563	108	15	balanced	balanced	ADJ
bracis-33563	108	16	accuracy	accuracy	NOUN
bracis-33563	108	17	of	of	ADP
bracis-33563	108	18	the	the	DET
bracis-33563	108	19	expert	expert	NOUN
bracis-33563	108	20	,	,	PUNCT
bracis-33563	108	21	and	and	CCONJ
bracis-33563	108	22	the	the	DET
bracis-33563	108	23	position	position	NOUN
bracis-33563	108	24	of	of	ADP
bracis-33563	108	25	the	the	DET
bracis-33563	108	26	expert	expert	NOUN
bracis-33563	108	27	within	within	ADP
bracis-33563	108	28	the	the	DET
bracis-33563	108	29	ensemble	ensemble	ADJ
bracis-33563	108	30	,	,	PUNCT
bracis-33563	108	31	represented	represent	VERB
bracis-33563	108	32	by	by	ADP
bracis-33563	108	33	w.	w.	PROPN
bracis-33563	108	34	this	this	DET
bracis-33563	108	35	substitution	substitution	NOUN
bracis-33563	108	36	takes	take	VERB
bracis-33563	108	37	place	place	NOUN
bracis-33563	108	38	in	in	ADP
bracis-33563	108	39	lines	line	NOUN
bracis-33563	108	40	\(27	\(27	NUM
bracis-33563	108	41	-	-	PUNCT
bracis-33563	108	42	31\	31\	NUM
bracis-33563	108	43	)	)	PUNCT
bracis-33563	108	44	of	of	ADP
bracis-33563	108	45	algorithm	algorithm	NOUN
bracis-33563	108	46	 	 	SPACE
bracis-33563	108	47	2	2	NUM
bracis-33563	108	48	,	,	PUNCT
bracis-33563	108	49	where	where	SCONJ
bracis-33563	108	50	we	we	PRON
bracis-33563	108	51	compare	compare	VERB
bracis-33563	108	52	the	the	DET
bracis-33563	108	53	balanced	balanced	ADJ
bracis-33563	108	54	accuracy	accuracy	NOUN
bracis-33563	108	55	of	of	ADP
bracis-33563	108	56	the	the	DET
bracis-33563	108	57	new	new	ADJ
bracis-33563	108	58	expert	expert	NOUN
bracis-33563	108	59	,	,	PUNCT
bracis-33563	108	60	denoted	denote	VERB
bracis-33563	108	61	as	as	ADP
bracis-33563	108	62	\	\	PROPN
bracis-33563	108	63	(	(	PUNCT
bracis-33563	108	64	ba	ba	NOUN
bracis-33563	108	65	'	'	PUNCT
bracis-33563	108	66	\	\	NOUN
bracis-33563	108	67	)	)	PUNCT
bracis-33563	108	68	,	,	PUNCT
bracis-33563	108	69	to	to	ADP
bracis-33563	108	70	that	that	PRON
bracis-33563	108	71	of	of	ADP
bracis-33563	108	72	the	the	DET
bracis-33563	108	73	expert	expert	NOUN
bracis-33563	108	74	with	with	ADP
bracis-33563	108	75	the	the	DET
bracis-33563	108	76	lowest	low	ADJ
bracis-33563	108	77	balanced	balanced	ADJ
bracis-33563	108	78	accuracy	accuracy	NOUN
bracis-33563	108	79	,	,	PUNCT
bracis-33563	108	80	\(ba_{min}\	\(ba_{min}\	PROPN
bracis-33563	108	81	)	)	PUNCT
bracis-33563	108	82	.	.	PUNCT
bracis-33563	109	1	if	if	SCONJ
bracis-33563	109	2	the	the	DET
bracis-33563	109	3	new	new	ADJ
bracis-33563	109	4	expert	expert	NOUN
bracis-33563	109	5	demonstrates	demonstrate	VERB
bracis-33563	109	6	superior	superior	ADJ
bracis-33563	109	7	performance	performance	NOUN
bracis-33563	109	8	,	,	PUNCT
bracis-33563	109	9	the	the	DET
bracis-33563	109	10	expert	expert	NOUN
bracis-33563	109	11	at	at	ADP
bracis-33563	109	12	position	position	NOUN
bracis-33563	109	13	\	\	PROPN
bracis-33563	109	14	(	(	PUNCT
bracis-33563	109	15	w	w	PROPN
bracis-33563	109	16	\	\	NOUN
bracis-33563	109	17	)	)	PUNCT
bracis-33563	109	18	(	(	PUNCT
bracis-33563	109	19	represented	represent	VERB
bracis-33563	109	20	by	by	ADP
bracis-33563	109	21	\	\	PROPN
bracis-33563	109	22	(	(	PUNCT
bracis-33563	109	23	\gamma	\gamma	NUM
bracis-33563	109	24	_	_	PRON
bracis-33563	109	25	w	w	PROPN
bracis-33563	109	26	\	\	NOUN
bracis-33563	109	27	)	)	PUNCT
bracis-33563	109	28	)	)	PUNCT
bracis-33563	109	29	is	be	AUX
bracis-33563	109	30	substituted	substitute	VERB
bracis-33563	109	31	with	with	ADP
bracis-33563	109	32	the	the	DET
bracis-33563	109	33	new	new	ADJ
bracis-33563	109	34	\	\	PROPN
bracis-33563	109	35	(	(	PUNCT
bracis-33563	109	36	\gamma	\gamma	PROPN
bracis-33563	109	37	'	'	PUNCT
bracis-33563	109	38	\	\	NOUN
bracis-33563	109	39	)	)	PUNCT
bracis-33563	109	40	.	.	PUNCT
bracis-33563	110	1	we	we	PRON
bracis-33563	110	2	also	also	ADV
bracis-33563	110	3	update	update	VERB
bracis-33563	110	4	the	the	DET
bracis-33563	110	5	feature	feature	NOUN
bracis-33563	110	6	subspace	subspace	NOUN
bracis-33563	110	7	,	,	PUNCT
bracis-33563	110	8	\	\	PROPN
bracis-33563	110	9	(	(	PUNCT
bracis-33563	110	10	\varphi	\varphi	PROPN
bracis-33563	110	11	_	_	PUNCT
bracis-33563	110	12	w	w	NOUN
bracis-33563	110	13	\	\	NOUN
bracis-33563	110	14	)	)	PUNCT
bracis-33563	110	15	,	,	PUNCT
bracis-33563	110	16	and	and	CCONJ
bracis-33563	110	17	the	the	DET
bracis-33563	110	18	balanced	balanced	ADJ
bracis-33563	110	19	accuracy	accuracy	NOUN
bracis-33563	110	20	,	,	PUNCT
bracis-33563	110	21	\	\	PROPN
bracis-33563	110	22	(	(	PUNCT
bracis-33563	110	23	ba_w	ba_w	NOUN
bracis-33563	110	24	\	\	PROPN
bracis-33563	110	25	)	)	PUNCT
bracis-33563	110	26	,	,	PUNCT
bracis-33563	110	27	of	of	ADP
bracis-33563	110	28	the	the	DET
bracis-33563	110	29	weakest	weak	ADJ
bracis-33563	110	30	expert	expert	NOUN
bracis-33563	110	31	with	with	ADP
bracis-33563	110	32	\	\	PROPN
bracis-33563	110	33	(	(	PUNCT
bracis-33563	110	34	\varphi	\varphi	PROPN
bracis-33563	110	35	'	'	PUNCT
bracis-33563	110	36	\	\	NOUN
bracis-33563	110	37	)	)	PUNCT
bracis-33563	110	38	and	and	CCONJ
bracis-33563	110	39	\	\	PROPN
bracis-33563	110	40	(	(	PUNCT
bracis-33563	110	41	ba	ba	NOUN
bracis-33563	110	42	'	'	PUNCT
bracis-33563	110	43	\	\	NOUN
bracis-33563	110	44	)	)	PUNCT
bracis-33563	110	45	,	,	PUNCT
bracis-33563	110	46	respectively	respectively	ADV
bracis-33563	110	47	.	.	PUNCT
bracis-33563	111	1	4	4	NUM
bracis-33563	111	2	experimental	experimental	ADJ
bracis-33563	111	3	results	result	NOUN
bracis-33563	111	4	in	in	ADP
bracis-33563	111	5	this	this	DET
bracis-33563	111	6	section	section	NOUN
bracis-33563	111	7	,	,	PUNCT
bracis-33563	111	8	we	we	PRON
bracis-33563	111	9	compare	compare	VERB
bracis-33563	111	10	baswe	baswe	NOUN
bracis-33563	111	11	with	with	ADP
bracis-33563	111	12	seven	seven	NUM
bracis-33563	111	13	state	state	NOUN
bracis-33563	111	14	-	-	PUNCT
bracis-33563	111	15	of	of	ADP
bracis-33563	111	16	-	-	PUNCT
bracis-33563	111	17	the	the	DET
bracis-33563	111	18	-	-	PUNCT
bracis-33563	111	19	art	art	NOUN
bracis-33563	111	20	algorithms	algorithm	NOUN
bracis-33563	111	21	.	.	PUNCT
bracis-33563	112	1	4.1	4.1	NUM
bracis-33563	112	2	benchmark	benchmark	NOUN
bracis-33563	112	3	algorithms	algorithm	NOUN
bracis-33563	112	4	baswe	baswe	NOUN
bracis-33563	112	5	was	be	AUX
bracis-33563	112	6	compared	compare	VERB
bracis-33563	112	7	with	with	ADP
bracis-33563	112	8	different	different	ADJ
bracis-33563	112	9	ensemble	ensemble	ADJ
bracis-33563	112	10	classifiers	classifier	NOUN
bracis-33563	112	11	:	:	PUNCT
bracis-33563	112	12	kue	kue	X
bracis-33563	112	13	 	 	SPACE
bracis-33563	113	1	[	[	X
bracis-33563	113	2	7	7	NUM
bracis-33563	113	3	]	]	PUNCT
bracis-33563	113	4	,	,	PUNCT
bracis-33563	113	5	calmid	calmid	ADJ
bracis-33563	113	6	 	 	SPACE
bracis-33563	114	1	[	[	X
bracis-33563	114	2	17	17	NUM
bracis-33563	114	3	]	]	PUNCT
bracis-33563	114	4	,	,	PUNCT
bracis-33563	114	5	csarf	csarf	PROPN
bracis-33563	114	6	 	 	SPACE
bracis-33563	115	1	[	[	X
bracis-33563	115	2	18	18	NUM
bracis-33563	115	3	]	]	PUNCT
bracis-33563	115	4	,	,	PUNCT
bracis-33563	115	5	rose	rise	VERB
bracis-33563	115	6	 	 	SPACE
bracis-33563	116	1	[	[	X
bracis-33563	116	2	8	8	NUM
bracis-33563	116	3	]	]	PUNCT
bracis-33563	116	4	,	,	PUNCT
bracis-33563	116	5	oob	oob	VERB
bracis-33563	116	6	 	 	SPACE
bracis-33563	117	1	[	[	X
bracis-33563	117	2	19	19	NUM
bracis-33563	117	3	]	]	PUNCT
bracis-33563	117	4	,	,	PUNCT
bracis-33563	117	5	uob	uob	PROPN
bracis-33563	117	6	 	 	SPACE
bracis-33563	117	7	[	[	X
bracis-33563	117	8	19	19	NUM
bracis-33563	117	9	]	]	PUNCT
bracis-33563	117	10	,	,	PUNCT
bracis-33563	117	11	and	and	CCONJ
bracis-33563	117	12	smote	smote	ADJ
bracis-33563	117	13	-	-	PUNCT
bracis-33563	117	14	ob	ob	NOUN
bracis-33563	117	15	 	 	SPACE
bracis-33563	118	1	[	[	X
bracis-33563	118	2	4	4	NUM
bracis-33563	118	3	]	]	PUNCT
bracis-33563	118	4	.	.	PUNCT
bracis-33563	119	1	calmid	calmid	ADJ
bracis-33563	119	2	,	,	PUNCT
bracis-33563	119	3	csarf	csarf	PROPN
bracis-33563	119	4	,	,	PUNCT
bracis-33563	119	5	rose	rise	VERB
bracis-33563	119	6	,	,	PUNCT
bracis-33563	119	7	uob	uob	NOUN
bracis-33563	119	8	,	,	PUNCT
bracis-33563	119	9	and	and	CCONJ
bracis-33563	119	10	smote	smote	ADJ
bracis-33563	119	11	-	-	PUNCT
bracis-33563	119	12	ob	ob	NOUN
bracis-33563	119	13	were	be	AUX
bracis-33563	119	14	selected	select	VERB
bracis-33563	119	15	as	as	ADP
bracis-33563	119	16	the	the	DET
bracis-33563	119	17	top	top	ADJ
bracis-33563	119	18	5	5	NUM
bracis-33563	119	19	algorithms	algorithm	NOUN
bracis-33563	119	20	by	by	ADP
bracis-33563	119	21	a	a	DET
bracis-33563	119	22	recent	recent	ADJ
bracis-33563	119	23	survey	survey	NOUN
bracis-33563	119	24	on	on	ADP
bracis-33563	119	25	imbalanced	imbalanced	ADJ
bracis-33563	119	26	data	datum	NOUN
bracis-33563	119	27	streams	stream	NOUN
bracis-33563	119	28	 	 	SPACE
bracis-33563	120	1	[	[	X
bracis-33563	120	2	1	1	NUM
bracis-33563	120	3	]	]	PUNCT
bracis-33563	120	4	.	.	PUNCT
bracis-33563	121	1	additionally	additionally	ADV
bracis-33563	121	2	,	,	PUNCT
bracis-33563	121	3	we	we	PRON
bracis-33563	121	4	included	include	VERB
bracis-33563	121	5	kue	kue	NOUN
bracis-33563	121	6	,	,	PUNCT
bracis-33563	121	7	as	as	SCONJ
bracis-33563	121	8	it	it	PRON
bracis-33563	121	9	served	serve	VERB
bracis-33563	121	10	as	as	ADP
bracis-33563	121	11	the	the	DET
bracis-33563	121	12	inspiration	inspiration	NOUN
bracis-33563	121	13	for	for	ADP
bracis-33563	121	14	baswe	baswe	NOUN
bracis-33563	121	15	,	,	PUNCT
bracis-33563	121	16	and	and	CCONJ
bracis-33563	121	17	oob	oob	VERB
bracis-33563	121	18	,	,	PUNCT
bracis-33563	121	19	which	which	PRON
bracis-33563	121	20	was	be	AUX
bracis-33563	121	21	proposed	propose	VERB
bracis-33563	121	22	by	by	ADP
bracis-33563	121	23	the	the	DET
bracis-33563	121	24	same	same	ADJ
bracis-33563	121	25	authors	author	NOUN
bracis-33563	121	26	as	as	ADP
bracis-33563	121	27	uob	uob	NOUN
bracis-33563	121	28	and	and	CCONJ
bracis-33563	121	29	demonstrated	demonstrate	VERB
bracis-33563	121	30	good	good	ADJ
bracis-33563	121	31	performance	performance	NOUN
bracis-33563	121	32	in	in	ADP
bracis-33563	121	33	other	other	ADJ
bracis-33563	121	34	recent	recent	ADJ
bracis-33563	121	35	works	work	NOUN
bracis-33563	121	36	 	 	SPACE
bracis-33563	122	1	[	[	X
bracis-33563	122	2	8	8	NUM
bracis-33563	122	3	]	]	PUNCT
bracis-33563	122	4	.	.	PUNCT
bracis-33563	123	1	among	among	ADP
bracis-33563	123	2	the	the	DET
bracis-33563	123	3	selected	select	VERB
bracis-33563	123	4	algorithms	algorithm	NOUN
bracis-33563	123	5	,	,	PUNCT
bracis-33563	123	6	kue	kue	PROPN
bracis-33563	123	7	is	be	AUX
bracis-33563	123	8	the	the	DET
bracis-33563	123	9	only	only	ADJ
bracis-33563	123	10	one	one	NUM
bracis-33563	123	11	that	that	PRON
bracis-33563	123	12	was	be	AUX
bracis-33563	123	13	not	not	PART
bracis-33563	123	14	designed	design	VERB
bracis-33563	123	15	to	to	PART
bracis-33563	123	16	deal	deal	VERB
bracis-33563	123	17	with	with	ADP
bracis-33563	123	18	imbalanced	imbalanced	ADJ
bracis-33563	123	19	data	datum	NOUN
bracis-33563	123	20	streams	stream	NOUN
bracis-33563	123	21	.	.	PUNCT
bracis-33563	124	1	all	all	DET
bracis-33563	124	2	those	those	DET
bracis-33563	124	3	algorithms	algorithm	NOUN
bracis-33563	124	4	are	be	AUX
bracis-33563	124	5	ensembles	ensemble	NOUN
bracis-33563	124	6	;	;	PUNCT
bracis-33563	124	7	however	however	ADV
bracis-33563	124	8	,	,	PUNCT
bracis-33563	124	9	they	they	PRON
bracis-33563	124	10	implement	implement	VERB
bracis-33563	124	11	distinct	distinct	ADJ
bracis-33563	124	12	approaches	approach	NOUN
bracis-33563	124	13	to	to	PART
bracis-33563	124	14	address	address	VERB
bracis-33563	124	15	the	the	DET
bracis-33563	124	16	replacement	replacement	NOUN
bracis-33563	124	17	of	of	ADP
bracis-33563	124	18	new	new	ADJ
bracis-33563	124	19	base	base	NOUN
bracis-33563	124	20	classifiers	classifier	NOUN
bracis-33563	124	21	.	.	PUNCT
bracis-33563	125	1	kue	kue	NOUN
bracis-33563	125	2	and	and	CCONJ
bracis-33563	125	3	calmid	calmid	ADJ
bracis-33563	125	4	algorithms	algorithm	NOUN
bracis-33563	125	5	execute	execute	VERB
bracis-33563	125	6	,	,	PUNCT
bracis-33563	125	7	at	at	ADP
bracis-33563	125	8	most	most	ADJ
bracis-33563	125	9	,	,	PUNCT
bracis-33563	125	10	one	one	NUM
bracis-33563	125	11	replacement	replacement	NOUN
bracis-33563	125	12	per	per	ADP
bracis-33563	125	13	new	new	ADJ
bracis-33563	125	14	chunk	chunk	NOUN
bracis-33563	125	15	when	when	SCONJ
bracis-33563	125	16	employed	employ	VERB
bracis-33563	125	17	with	with	ADP
bracis-33563	125	18	their	their	PRON
bracis-33563	125	19	default	default	NOUN
bracis-33563	125	20	parameters	parameter	NOUN
bracis-33563	125	21	.	.	PUNCT
bracis-33563	126	1	conversely	conversely	ADV
bracis-33563	126	2	,	,	PUNCT
bracis-33563	126	3	baswe	baswe	NOUN
bracis-33563	126	4	,	,	PUNCT
bracis-33563	126	5	csarf	csarf	NOUN
bracis-33563	126	6	,	,	PUNCT
bracis-33563	126	7	and	and	CCONJ
bracis-33563	126	8	rose	rise	VERB
bracis-33563	126	9	allow	allow	VERB
bracis-33563	126	10	the	the	DET
bracis-33563	126	11	substitution	substitution	NOUN
bracis-33563	126	12	of	of	ADP
bracis-33563	126	13	multiple	multiple	ADJ
bracis-33563	126	14	experts	expert	NOUN
bracis-33563	126	15	with	with	ADP
bracis-33563	126	16	each	each	DET
bracis-33563	126	17	new	new	ADJ
bracis-33563	126	18	chunk	chunk	NOUN
bracis-33563	126	19	(	(	PUNCT
bracis-33563	126	20	or	or	CCONJ
bracis-33563	126	21	instance	instance	NOUN
bracis-33563	126	22	,	,	PUNCT
bracis-33563	126	23	in	in	ADP
bracis-33563	126	24	the	the	DET
bracis-33563	126	25	case	case	NOUN
bracis-33563	126	26	of	of	ADP
bracis-33563	126	27	rose	rose	NOUN
bracis-33563	126	28	)	)	PUNCT
bracis-33563	126	29	.	.	PUNCT
bracis-33563	127	1	on	on	ADP
bracis-33563	127	2	the	the	DET
bracis-33563	127	3	other	other	ADJ
bracis-33563	127	4	hand	hand	NOUN
bracis-33563	127	5	,	,	PUNCT
bracis-33563	127	6	the	the	DET
bracis-33563	127	7	oob	oob	NOUN
bracis-33563	127	8	,	,	PUNCT
bracis-33563	127	9	smote	smote	VERB
bracis-33563	127	10	-	-	PUNCT
bracis-33563	127	11	ob	ob	NOUN
bracis-33563	127	12	,	,	PUNCT
bracis-33563	127	13	and	and	CCONJ
bracis-33563	127	14	uob	uob	NOUN
bracis-33563	127	15	algorithms	algorithm	NOUN
bracis-33563	127	16	do	do	AUX
bracis-33563	127	17	not	not	PART
bracis-33563	127	18	replace	replace	VERB
bracis-33563	127	19	their	their	PRON
bracis-33563	127	20	base	base	NOUN
bracis-33563	127	21	classifiers	classifier	NOUN
bracis-33563	127	22	throughout	throughout	ADP
bracis-33563	127	23	the	the	DET
bracis-33563	127	24	data	data	NOUN
bracis-33563	127	25	stream	stream	NOUN
bracis-33563	127	26	.	.	PUNCT
bracis-33563	128	1	these	these	DET
bracis-33563	128	2	algorithms	algorithm	NOUN
bracis-33563	128	3	are	be	AUX
bracis-33563	128	4	implemented	implement	VERB
bracis-33563	128	5	in	in	ADP
bracis-33563	128	6	moa	moa	NOUN
bracis-33563	128	7	and	and	CCONJ
bracis-33563	128	8	we	we	PRON
bracis-33563	128	9	use	use	VERB
bracis-33563	128	10	its	its	PRON
bracis-33563	128	11	default	default	NOUN
bracis-33563	128	12	parameters	parameter	NOUN
bracis-33563	128	13	,	,	PUNCT
bracis-33563	128	14	as	as	SCONJ
bracis-33563	128	15	specified	specify	VERB
bracis-33563	128	16	in	in	ADP
bracis-33563	128	17	their	their	PRON
bracis-33563	128	18	respective	respective	ADJ
bracis-33563	128	19	original	original	ADJ
bracis-33563	128	20	studies	study	NOUN
bracis-33563	128	21	.	.	PUNCT
bracis-33563	129	1	kue	kue	PROPN
bracis-33563	129	2	is	be	AUX
bracis-33563	129	3	the	the	DET
bracis-33563	129	4	only	only	ADJ
bracis-33563	129	5	exception	exception	NOUN
bracis-33563	129	6	;	;	PUNCT
bracis-33563	129	7	it	it	PRON
bracis-33563	129	8	has	have	VERB
bracis-33563	129	9	an	an	DET
bracis-33563	129	10	implementation	implementation	NOUN
bracis-33563	129	11	with	with	ADP
bracis-33563	129	12	\(q	\(q	NOUN
bracis-33563	129	13	=	=	SYM
bracis-33563	129	14	1\	1\	NUM
bracis-33563	129	15	)	)	PUNCT
bracis-33563	129	16	and	and	CCONJ
bracis-33563	129	17	an	an	DET
bracis-33563	129	18	additional	additional	ADJ
bracis-33563	129	19	implementation	implementation	NOUN
bracis-33563	129	20	that	that	PRON
bracis-33563	129	21	permits	permit	VERB
bracis-33563	129	22	the	the	DET
bracis-33563	129	23	substitution	substitution	NOUN
bracis-33563	129	24	of	of	ADP
bracis-33563	129	25	two	two	NUM
bracis-33563	129	26	experts	expert	NOUN
bracis-33563	129	27	(	(	PUNCT
bracis-33563	129	28	referred	refer	VERB
bracis-33563	129	29	as	as	ADP
bracis-33563	129	30	kue	kue	PROPN
bracis-33563	129	31	(	(	PUNCT
bracis-33563	129	32	q	q	NOUN
bracis-33563	129	33	=	=	SYM
bracis-33563	129	34	2	2	NUM
bracis-33563	129	35	)	)	PUNCT
bracis-33563	129	36	in	in	ADP
bracis-33563	129	37	this	this	DET
bracis-33563	129	38	section	section	NOUN
bracis-33563	129	39	)	)	PUNCT
bracis-33563	129	40	.	.	PUNCT
bracis-33563	130	1	in	in	ADP
bracis-33563	130	2	baswe	baswe	NOUN
bracis-33563	130	3	,	,	PUNCT
bracis-33563	130	4	we	we	PRON
bracis-33563	130	5	make	make	VERB
bracis-33563	130	6	use	use	NOUN
bracis-33563	130	7	of	of	ADP
bracis-33563	130	8	the	the	DET
bracis-33563	130	9	same	same	ADJ
bracis-33563	130	10	kue	kue	PROPN
bracis-33563	130	11	’s	’s	PART
bracis-33563	130	12	default	default	NOUN
bracis-33563	130	13	parameters	parameter	NOUN
bracis-33563	130	14	(	(	PUNCT
bracis-33563	130	15	\(k=10\	\(k=10\	NUM
bracis-33563	130	16	)	)	PUNCT
bracis-33563	130	17	)	)	PUNCT
bracis-33563	130	18	,	,	PUNCT
bracis-33563	130	19	except	except	SCONJ
bracis-33563	130	20	q	q	PROPN
bracis-33563	130	21	,	,	PUNCT
bracis-33563	130	22	which	which	PRON
bracis-33563	130	23	is	be	AUX
bracis-33563	130	24	equal	equal	ADJ
bracis-33563	130	25	to	to	ADP
bracis-33563	130	26	2	2	NUM
bracis-33563	130	27	.	.	PUNCT
bracis-33563	130	28	baswe	baswe	NOUN
bracis-33563	130	29	has	have	VERB
bracis-33563	130	30	one	one	NUM
bracis-33563	130	31	additional	additional	ADJ
bracis-33563	130	32	parameter	parameter	NOUN
bracis-33563	130	33	,	,	PUNCT
bracis-33563	130	34	cs	cs	PROPN
bracis-33563	130	35	,	,	PUNCT
bracis-33563	130	36	that	that	PRON
bracis-33563	130	37	represents	represent	VERB
bracis-33563	130	38	the	the	DET
bracis-33563	130	39	sliding	slide	VERB
bracis-33563	130	40	window	window	NOUN
bracis-33563	130	41	’s	’s	PART
bracis-33563	130	42	cache	cache	NOUN
bracis-33563	130	43	size	size	NOUN
bracis-33563	130	44	,	,	PUNCT
bracis-33563	130	45	we	we	PRON
bracis-33563	130	46	use	use	VERB
bracis-33563	130	47	the	the	DET
bracis-33563	130	48	half	half	NOUN
bracis-33563	130	49	of	of	ADP
bracis-33563	130	50	chunk	chunk	ADJ
bracis-33563	130	51	size	size	NOUN
bracis-33563	130	52	as	as	SCONJ
bracis-33563	130	53	the	the	DET
bracis-33563	130	54	value	value	NOUN
bracis-33563	130	55	of	of	ADP
bracis-33563	130	56	cs	cs	PROPN
bracis-33563	130	57	.	.	PROPN
bracis-33563	130	58	4.2	4.2	NUM
bracis-33563	130	59	datasets	dataset	NOUN
bracis-33563	130	60	experiments	experiment	NOUN
bracis-33563	130	61	were	be	AUX
bracis-33563	130	62	conducted	conduct	VERB
bracis-33563	130	63	using	use	VERB
bracis-33563	130	64	24	24	NUM
bracis-33563	130	65	binary	binary	ADJ
bracis-33563	130	66	data	datum	NOUN
bracis-33563	130	67	stream	stream	NOUN
bracis-33563	130	68	generators	generator	NOUN
bracis-33563	130	69	in	in	ADP
bracis-33563	130	70	the	the	DET
bracis-33563	130	71	moa	moa	NOUN
bracis-33563	130	72	(	(	PUNCT
bracis-33563	130	73	massive	massive	ADJ
bracis-33563	130	74	online	online	ADJ
bracis-33563	130	75	analysis	analysis	NOUN
bracis-33563	130	76	)	)	PUNCT
bracis-33563	130	77	environment	environment	NOUN
bracis-33563	131	1	[	[	X
bracis-33563	131	2	5	5	NUM
bracis-33563	131	3	]	]	PUNCT
bracis-33563	131	4	,	,	PUNCT
bracis-33563	131	5	featuring	feature	VERB
bracis-33563	131	6	varying	vary	VERB
bracis-33563	131	7	degrees	degree	NOUN
bracis-33563	131	8	of	of	ADP
bracis-33563	131	9	data	datum	NOUN
bracis-33563	131	10	imbalance	imbalance	NOUN
bracis-33563	131	11	.	.	PUNCT
bracis-33563	132	1	of	of	ADP
bracis-33563	132	2	these	these	PRON
bracis-33563	132	3	,	,	PUNCT
bracis-33563	132	4	8	8	NUM
bracis-33563	132	5	data	datum	NOUN
bracis-33563	132	6	streams	stream	NOUN
bracis-33563	132	7	have	have	VERB
bracis-33563	132	8	sudden	sudden	ADJ
bracis-33563	132	9	concept	concept	NOUN
bracis-33563	132	10	drift	drift	NOUN
bracis-33563	132	11	,	,	PUNCT
bracis-33563	132	12	8	8	NUM
bracis-33563	132	13	data	datum	NOUN
bracis-33563	132	14	streams	stream	NOUN
bracis-33563	132	15	have	have	VERB
bracis-33563	132	16	gradual	gradual	ADJ
bracis-33563	132	17	concept	concept	NOUN
bracis-33563	132	18	drift	drift	NOUN
bracis-33563	132	19	,	,	PUNCT
bracis-33563	132	20	and	and	CCONJ
bracis-33563	132	21	the	the	DET
bracis-33563	132	22	remaining	remain	VERB
bracis-33563	132	23	8	8	NUM
bracis-33563	132	24	do	do	AUX
bracis-33563	132	25	not	not	PART
bracis-33563	132	26	have	have	VERB
bracis-33563	132	27	concept	concept	NOUN
bracis-33563	132	28	drift	drift	NOUN
bracis-33563	132	29	.	.	PUNCT
bracis-33563	133	1	additionally	additionally	ADV
bracis-33563	133	2	,	,	PUNCT
bracis-33563	133	3	evaluations	evaluation	NOUN
bracis-33563	133	4	were	be	AUX
bracis-33563	133	5	carried	carry	VERB
bracis-33563	133	6	out	out	ADP
bracis-33563	133	7	on	on	ADP
bracis-33563	133	8	16	16	NUM
bracis-33563	133	9	real	real	ADJ
bracis-33563	133	10	-	-	PUNCT
bracis-33563	133	11	world	world	NOUN
bracis-33563	133	12	datasets	dataset	NOUN
bracis-33563	133	13	.	.	PUNCT
bracis-33563	134	1	all	all	DET
bracis-33563	134	2	experiments	experiment	NOUN
bracis-33563	134	3	in	in	ADP
bracis-33563	134	4	this	this	DET
bracis-33563	134	5	study	study	NOUN
bracis-33563	134	6	treated	treat	VERB
bracis-33563	134	7	the	the	DET
bracis-33563	134	8	data	datum	NOUN
bracis-33563	134	9	streams	stream	NOUN
bracis-33563	134	10	as	as	ADV
bracis-33563	134	11	fully	fully	ADV
bracis-33563	134	12	labeled	label	VERB
bracis-33563	134	13	.	.	PUNCT
bracis-33563	135	1	synthetic	synthetic	ADJ
bracis-33563	135	2	datasets	dataset	NOUN
bracis-33563	135	3	:	:	PUNCT
bracis-33563	135	4	a	a	DET
bracis-33563	135	5	series	series	NOUN
bracis-33563	135	6	of	of	ADP
bracis-33563	135	7	synthetic	synthetic	ADJ
bracis-33563	135	8	datasets	dataset	NOUN
bracis-33563	135	9	was	be	AUX
bracis-33563	135	10	generated	generate	VERB
bracis-33563	135	11	utilizing	utilize	VERB
bracis-33563	135	12	the	the	DET
bracis-33563	135	13	moa	moa	NOUN
bracis-33563	135	14	environment	environment	NOUN
bracis-33563	135	15	.	.	PUNCT
bracis-33563	136	1	the	the	DET
bracis-33563	136	2	chosen	choose	VERB
bracis-33563	136	3	generators	generator	NOUN
bracis-33563	136	4	for	for	ADP
bracis-33563	136	5	this	this	DET
bracis-33563	136	6	process	process	NOUN
bracis-33563	136	7	were	be	AUX
bracis-33563	136	8	as	as	SCONJ
bracis-33563	136	9	follows	follow	VERB
bracis-33563	136	10	:	:	PUNCT
bracis-33563	137	1	agrawal	agrawal	NOUN
bracis-33563	137	2	,	,	PUNCT
bracis-33563	137	3	asset	asset	NOUN
bracis-33563	137	4	negotiation	negotiation	NOUN
bracis-33563	137	5	,	,	PUNCT
bracis-33563	137	6	hyperplane	hyperplane	NOUN
bracis-33563	137	7	,	,	PUNCT
bracis-33563	137	8	mixed	mixed	ADJ
bracis-33563	137	9	,	,	PUNCT
bracis-33563	137	10	random	random	ADJ
bracis-33563	137	11	rbf	rbf	PROPN
bracis-33563	137	12	,	,	PUNCT
bracis-33563	137	13	random	random	ADJ
bracis-33563	137	14	tree	tree	NOUN
bracis-33563	137	15	,	,	PUNCT
bracis-33563	137	16	sea	sea	NOUN
bracis-33563	137	17	,	,	PUNCT
bracis-33563	137	18	and	and	CCONJ
bracis-33563	137	19	sine	sine	NOUN
bracis-33563	137	20	.	.	PUNCT
bracis-33563	138	1	each	each	PRON
bracis-33563	138	2	of	of	ADP
bracis-33563	138	3	these	these	DET
bracis-33563	138	4	synthetic	synthetic	ADJ
bracis-33563	138	5	datasets	dataset	NOUN
bracis-33563	138	6	was	be	AUX
bracis-33563	138	7	synthesized	synthesize	VERB
bracis-33563	138	8	under	under	ADP
bracis-33563	138	9	specified	specified	ADJ
bracis-33563	138	10	conditions	condition	NOUN
bracis-33563	138	11	,	,	PUNCT
bracis-33563	138	12	with	with	ADP
bracis-33563	138	13	a	a	DET
bracis-33563	138	14	designated	designate	VERB
bracis-33563	138	15	random	random	ADJ
bracis-33563	138	16	seed	seed	NOUN
bracis-33563	138	17	value	value	NOUN
bracis-33563	138	18	set	set	VERB
bracis-33563	138	19	at	at	ADP
bracis-33563	138	20	42	42	NUM
bracis-33563	138	21	,	,	PUNCT
bracis-33563	138	22	a	a	DET
bracis-33563	138	23	chunk	chunk	ADJ
bracis-33563	138	24	size	size	NOUN
bracis-33563	138	25	of	of	ADP
bracis-33563	138	26	500	500	NUM
bracis-33563	138	27	,	,	PUNCT
bracis-33563	138	28	and	and	CCONJ
bracis-33563	138	29	comprising	comprise	VERB
bracis-33563	138	30	200,000	200,000	NUM
bracis-33563	138	31	instances	instance	NOUN
bracis-33563	138	32	.	.	PUNCT
bracis-33563	139	1	all	all	DET
bracis-33563	139	2	synthetic	synthetic	ADJ
bracis-33563	139	3	datasets	dataset	NOUN
bracis-33563	139	4	were	be	AUX
bracis-33563	139	5	designed	design	VERB
bracis-33563	139	6	for	for	ADP
bracis-33563	139	7	binary	binary	ADJ
bracis-33563	139	8	classification	classification	NOUN
bracis-33563	139	9	.	.	PUNCT
bracis-33563	140	1	for	for	ADP
bracis-33563	140	2	a	a	DET
bracis-33563	140	3	comprehensive	comprehensive	ADJ
bracis-33563	140	4	analysis	analysis	NOUN
bracis-33563	140	5	,	,	PUNCT
bracis-33563	140	6	these	these	DET
bracis-33563	140	7	datasets	dataset	NOUN
bracis-33563	140	8	were	be	AUX
bracis-33563	140	9	crafted	craft	VERB
bracis-33563	140	10	with	with	ADP
bracis-33563	140	11	five	five	NUM
bracis-33563	140	12	distinct	distinct	ADJ
bracis-33563	140	13	imbalance	imbalance	NOUN
bracis-33563	140	14	ratios	ratio	NOUN
bracis-33563	140	15	:	:	PUNCT
bracis-33563	140	16	90:10	90:10	NUM
bracis-33563	140	17	,	,	PUNCT
bracis-33563	140	18	95:5	95:5	NUM
bracis-33563	140	19	,	,	PUNCT
bracis-33563	140	20	97.5:2.5	97.5:2.5	NUM
bracis-33563	140	21	,	,	PUNCT
bracis-33563	140	22	99:1	99:1	NUM
bracis-33563	140	23	,	,	PUNCT
bracis-33563	140	24	and	and	CCONJ
bracis-33563	140	25	99.5:0.5	99.5:0.5	X
bracis-33563	140	26	.	.	PUNCT
bracis-33563	141	1	in	in	ADP
bracis-33563	141	2	these	these	DET
bracis-33563	141	3	ratios	ratio	NOUN
bracis-33563	141	4	,	,	PUNCT
bracis-33563	141	5	the	the	DET
bracis-33563	141	6	value	value	NOUN
bracis-33563	141	7	before	before	SCONJ
bracis-33563	141	8	the	the	DET
bracis-33563	141	9	colon	colon	NOUN
bracis-33563	141	10	denotes	denote	VERB
bracis-33563	141	11	the	the	DET
bracis-33563	141	12	proportion	proportion	NOUN
bracis-33563	141	13	of	of	ADP
bracis-33563	141	14	the	the	DET
bracis-33563	141	15	majority	majority	NOUN
bracis-33563	141	16	class	class	NOUN
bracis-33563	141	17	,	,	PUNCT
bracis-33563	141	18	while	while	SCONJ
bracis-33563	141	19	the	the	DET
bracis-33563	141	20	value	value	NOUN
bracis-33563	141	21	after	after	ADV
bracis-33563	141	22	represents	represent	VERB
bracis-33563	141	23	the	the	DET
bracis-33563	141	24	proportion	proportion	NOUN
bracis-33563	141	25	of	of	ADP
bracis-33563	141	26	the	the	DET
bracis-33563	141	27	minority	minority	NOUN
bracis-33563	141	28	class	class	NOUN
bracis-33563	141	29	.	.	PUNCT
bracis-33563	142	1	additionally	additionally	ADV
bracis-33563	142	2	,	,	PUNCT
bracis-33563	142	3	the	the	DET
bracis-33563	142	4	synthetic	synthetic	ADJ
bracis-33563	142	5	data	data	NOUN
bracis-33563	142	6	streams	stream	NOUN
bracis-33563	142	7	were	be	AUX
bracis-33563	142	8	generated	generate	VERB
bracis-33563	142	9	in	in	ADP
bracis-33563	142	10	the	the	DET
bracis-33563	142	11	two	two	NUM
bracis-33563	142	12	contexts	contexts	NOUN
bracis-33563	142	13	,	,	PUNCT
bracis-33563	142	14	with	with	ADP
bracis-33563	142	15	and	and	CCONJ
bracis-33563	142	16	without	without	ADP
bracis-33563	142	17	concept	concept	NOUN
bracis-33563	142	18	drift	drift	NOUN
bracis-33563	142	19	.	.	PUNCT
bracis-33563	143	1	in	in	ADP
bracis-33563	143	2	the	the	DET
bracis-33563	143	3	data	data	NOUN
bracis-33563	143	4	streams	stream	VERB
bracis-33563	143	5	with	with	ADP
bracis-33563	143	6	concept	concept	NOUN
bracis-33563	143	7	drift	drift	NOUN
bracis-33563	143	8	,	,	PUNCT
bracis-33563	143	9	we	we	PRON
bracis-33563	143	10	analyzed	analyze	VERB
bracis-33563	143	11	sudden	sudden	ADJ
bracis-33563	143	12	and	and	CCONJ
bracis-33563	143	13	gradual	gradual	ADJ
bracis-33563	143	14	concept	concept	NOUN
bracis-33563	143	15	drift	drift	NOUN
bracis-33563	143	16	,	,	PUNCT
bracis-33563	143	17	the	the	DET
bracis-33563	143	18	two	two	NUM
bracis-33563	143	19	types	type	NOUN
bracis-33563	143	20	of	of	ADP
bracis-33563	143	21	concept	concept	NOUN
bracis-33563	143	22	drift	drift	NOUN
bracis-33563	143	23	commonest	commonest	NOUN
bracis-33563	143	24	in	in	ADP
bracis-33563	143	25	the	the	DET
bracis-33563	143	26	studies	study	NOUN
bracis-33563	143	27	 	 	SPACE
bracis-33563	144	1	[	[	X
bracis-33563	144	2	1	1	NUM
bracis-33563	144	3	]	]	PUNCT
bracis-33563	144	4	.	.	PUNCT
bracis-33563	145	1	real	real	ADJ
bracis-33563	145	2	benchmark	benchmark	ADJ
bracis-33563	145	3	datasets	dataset	NOUN
bracis-33563	145	4	:	:	PUNCT
bracis-33563	145	5	sixteen	sixteen	NUM
bracis-33563	145	6	real	real	ADJ
bracis-33563	145	7	benchmark	benchmark	NOUN
bracis-33563	145	8	datasets	dataset	NOUN
bracis-33563	145	9	were	be	AUX
bracis-33563	145	10	utilized	utilize	VERB
bracis-33563	145	11	for	for	ADP
bracis-33563	145	12	the	the	DET
bracis-33563	145	13	experimental	experimental	ADJ
bracis-33563	145	14	analysis	analysis	NOUN
bracis-33563	145	15	:	:	PUNCT
bracis-33563	145	16	adult	adult	NOUN
bracis-33563	145	17	,	,	PUNCT
bracis-33563	145	18	airlines	airline	NOUN
bracis-33563	145	19	,	,	PUNCT
bracis-33563	145	20	bridges-1vsall	bridges-1vsall	PROPN
bracis-33563	145	21	,	,	PUNCT
bracis-33563	145	22	census	census	NOUN
bracis-33563	145	23	,	,	PUNCT
bracis-33563	145	24	covtypenorm-1	covtypenorm-1	PROPN
bracis-33563	145	25	-	-	NOUN
bracis-33563	145	26	2vsall	2vsall	NUM
bracis-33563	145	27	,	,	PUNCT
bracis-33563	145	28	credit.g	credit.g	NOUN
bracis-33563	145	29	,	,	PUNCT
bracis-33563	145	30	dermatology	dermatology	NOUN
bracis-33563	145	31	,	,	PUNCT
bracis-33563	145	32	diabetes	diabetes	NOUN
bracis-33563	145	33	,	,	PUNCT
bracis-33563	145	34	electricity	electricity	NOUN
bracis-33563	145	35	,	,	PUNCT
bracis-33563	145	36	gmsc	gmsc	NOUN
bracis-33563	145	37	,	,	PUNCT
bracis-33563	145	38	mushroom	mushroom	NOUN
bracis-33563	145	39	,	,	PUNCT
bracis-33563	145	40	sick	sick	ADJ
bracis-33563	145	41	,	,	PUNCT
bracis-33563	145	42	sonar	sonar	NOUN
bracis-33563	145	43	,	,	PUNCT
bracis-33563	145	44	vehicle	vehicle	NOUN
bracis-33563	145	45	,	,	PUNCT
bracis-33563	145	46	vote	vote	NOUN
bracis-33563	145	47	,	,	PUNCT
bracis-33563	145	48	and	and	CCONJ
bracis-33563	145	49	vowelfootnote	vowelfootnote	VERB
bracis-33563	145	50	2	2	NUM
bracis-33563	145	51	.	.	NOUN
bracis-33563	145	52	4.3	4.3	NUM
bracis-33563	145	53	metrics	metric	NOUN
bracis-33563	145	54	the	the	DET
bracis-33563	145	55	performance	performance	NOUN
bracis-33563	145	56	of	of	ADP
bracis-33563	145	57	the	the	DET
bracis-33563	145	58	classifiers	classifier	NOUN
bracis-33563	145	59	was	be	AUX
bracis-33563	145	60	evaluated	evaluate	VERB
bracis-33563	145	61	using	use	VERB
bracis-33563	145	62	the	the	DET
bracis-33563	145	63	kappa	kappa	PROPN
bracis-33563	145	64	metric	metric	PROPN
bracis-33563	145	65	,	,	PUNCT
bracis-33563	145	66	which	which	PRON
bracis-33563	145	67	was	be	AUX
bracis-33563	145	68	used	use	VERB
bracis-33563	145	69	in	in	ADP
bracis-33563	145	70	[	[	X
bracis-33563	145	71	1	1	NUM
bracis-33563	145	72	,	,	PUNCT
bracis-33563	145	73	7	7	NUM
bracis-33563	145	74	,	,	PUNCT
bracis-33563	145	75	8	8	NUM
bracis-33563	145	76	]	]	PUNCT
bracis-33563	145	77	,	,	PUNCT
bracis-33563	145	78	and	and	CCONJ
bracis-33563	145	79	the	the	DET
bracis-33563	145	80	f1	f1	NOUN
bracis-33563	145	81	-	-	PUNCT
bracis-33563	145	82	score	score	NOUN
bracis-33563	145	83	,	,	PUNCT
bracis-33563	145	84	which	which	PRON
bracis-33563	145	85	was	be	AUX
bracis-33563	145	86	used	use	VERB
bracis-33563	145	87	in	in	ADP
bracis-33563	145	88	[	[	X
bracis-33563	145	89	9	9	NUM
bracis-33563	145	90	,	,	PUNCT
bracis-33563	145	91	15	15	NUM
bracis-33563	145	92	,	,	PUNCT
bracis-33563	145	93	16	16	NUM
bracis-33563	145	94	]	]	PUNCT
bracis-33563	145	95	.	.	PUNCT
bracis-33563	146	1	for	for	ADP
bracis-33563	146	2	each	each	DET
bracis-33563	146	3	set	set	NOUN
bracis-33563	146	4	of	of	ADP
bracis-33563	146	5	experiments	experiment	NOUN
bracis-33563	146	6	,	,	PUNCT
bracis-33563	146	7	described	describe	VERB
bracis-33563	146	8	in	in	ADP
bracis-33563	146	9	sect	sect	NOUN
bracis-33563	146	10	.	.	PUNCT
bracis-33563	146	11	 	 	SPACE
bracis-33563	146	12	4.4	4.4	NUM
bracis-33563	146	13	,	,	PUNCT
bracis-33563	146	14	the	the	DET
bracis-33563	146	15	following	follow	VERB
bracis-33563	146	16	measures	measure	NOUN
bracis-33563	146	17	are	be	AUX
bracis-33563	146	18	computed	compute	VERB
bracis-33563	146	19	:	:	PUNCT
bracis-33563	146	20	absolute	absolute	ADJ
bracis-33563	146	21	best	good	ADJ
bracis-33563	146	22	(	(	PUNCT
bracis-33563	146	23	ab	ab	NOUN
bracis-33563	146	24	)	)	PUNCT
bracis-33563	146	25	that	that	PRON
bracis-33563	146	26	represents	represent	VERB
bracis-33563	146	27	the	the	DET
bracis-33563	146	28	number	number	NOUN
bracis-33563	146	29	of	of	ADP
bracis-33563	146	30	experiments	experiment	NOUN
bracis-33563	146	31	in	in	ADP
bracis-33563	146	32	which	which	PRON
bracis-33563	146	33	the	the	DET
bracis-33563	146	34	algorithm	algorithm	NOUN
bracis-33563	146	35	achieved	achieve	VERB
bracis-33563	146	36	the	the	DET
bracis-33563	146	37	best	good	ADJ
bracis-33563	146	38	absolute	absolute	ADJ
bracis-33563	146	39	metric	metric	ADJ
bracis-33563	146	40	(	(	PUNCT
bracis-33563	146	41	f1	f1	NOUN
bracis-33563	146	42	-	-	PUNCT
bracis-33563	146	43	score	score	NOUN
bracis-33563	146	44	or	or	CCONJ
bracis-33563	146	45	kappa	kappa	ADJ
bracis-33563	146	46	)	)	PUNCT
bracis-33563	146	47	value	value	NOUN
bracis-33563	146	48	.	.	PUNCT
bracis-33563	147	1	equivalent	equivalent	ADJ
bracis-33563	147	2	best	well	ADV
bracis-33563	147	3	using	use	VERB
bracis-33563	147	4	t	t	NOUN
bracis-33563	147	5	-	-	PUNCT
bracis-33563	147	6	test	test	NOUN
bracis-33563	147	7	(	(	PUNCT
bracis-33563	147	8	eb	eb	PROPN
bracis-33563	147	9	)	)	PUNCT
bracis-33563	147	10	that	that	PRON
bracis-33563	147	11	indicates	indicate	VERB
bracis-33563	147	12	the	the	DET
bracis-33563	147	13	number	number	NOUN
bracis-33563	147	14	of	of	ADP
bracis-33563	147	15	experiments	experiment	NOUN
bracis-33563	147	16	where	where	SCONJ
bracis-33563	147	17	,	,	PUNCT
bracis-33563	147	18	despite	despite	SCONJ
bracis-33563	147	19	the	the	DET
bracis-33563	147	20	algorithm	algorithm	NOUN
bracis-33563	147	21	not	not	PART
bracis-33563	147	22	having	having	AUX
bracis-33563	147	23	achieved	achieve	VERB
bracis-33563	147	24	the	the	DET
bracis-33563	147	25	highest	high	ADJ
bracis-33563	147	26	metric	metric	ADJ
bracis-33563	147	27	(	(	PUNCT
bracis-33563	147	28	f1	f1	NOUN
bracis-33563	147	29	-	-	PUNCT
bracis-33563	147	30	score	score	NOUN
bracis-33563	147	31	or	or	CCONJ
bracis-33563	147	32	kappa	kappa	ADJ
bracis-33563	147	33	)	)	PUNCT
bracis-33563	147	34	value	value	NOUN
bracis-33563	147	35	,	,	PUNCT
bracis-33563	147	36	no	no	DET
bracis-33563	147	37	significant	significant	ADJ
bracis-33563	147	38	difference	difference	NOUN
bracis-33563	147	39	was	be	AUX
bracis-33563	147	40	found	find	VERB
bracis-33563	147	41	(	(	PUNCT
bracis-33563	147	42	indicating	indicate	VERB
bracis-33563	147	43	a	a	DET
bracis-33563	147	44	t	t	NOUN
bracis-33563	147	45	-	-	PUNCT
bracis-33563	147	46	test	test	NOUN
bracis-33563	147	47	p	p	NOUN
bracis-33563	147	48	-	-	PUNCT
bracis-33563	147	49	value	value	NOUN
bracis-33563	147	50	greater	great	ADJ
bracis-33563	147	51	than	than	ADP
bracis-33563	147	52	0.05	0.05	NUM
bracis-33563	147	53	)	)	PUNCT
bracis-33563	147	54	between	between	ADP
bracis-33563	147	55	its	its	PRON
bracis-33563	147	56	metric	metric	ADJ
bracis-33563	147	57	value	value	NOUN
bracis-33563	147	58	and	and	CCONJ
bracis-33563	147	59	the	the	DET
bracis-33563	147	60	highest	high	ADJ
bracis-33563	147	61	metric	metric	ADJ
bracis-33563	147	62	value	value	NOUN
bracis-33563	147	63	among	among	ADP
bracis-33563	147	64	all	all	DET
bracis-33563	147	65	other	other	ADJ
bracis-33563	147	66	algorithms	algorithm	NOUN
bracis-33563	147	67	.	.	PUNCT
bracis-33563	148	1	total	total	ADJ
bracis-33563	148	2	best	good	ADJ
bracis-33563	148	3	(	(	PUNCT
bracis-33563	148	4	tb	tb	NOUN
bracis-33563	148	5	)	)	PUNCT
bracis-33563	148	6	that	that	PRON
bracis-33563	148	7	is	be	AUX
bracis-33563	148	8	the	the	DET
bracis-33563	148	9	sum	sum	NOUN
bracis-33563	148	10	of	of	ADP
bracis-33563	148	11	the	the	DET
bracis-33563	148	12	absolute	absolute	ADJ
bracis-33563	148	13	best	good	ADJ
bracis-33563	148	14	and	and	CCONJ
bracis-33563	148	15	equivalent	equivalent	ADJ
bracis-33563	148	16	best	good	ADJ
bracis-33563	148	17	values	value	NOUN
bracis-33563	148	18	,	,	PUNCT
bracis-33563	148	19	representing	represent	VERB
bracis-33563	148	20	the	the	DET
bracis-33563	148	21	number	number	NOUN
bracis-33563	148	22	of	of	ADP
bracis-33563	148	23	experiments	experiment	NOUN
bracis-33563	148	24	where	where	SCONJ
bracis-33563	148	25	the	the	DET
bracis-33563	148	26	algorithm	algorithm	NOUN
bracis-33563	148	27	demonstrated	demonstrate	VERB
bracis-33563	148	28	the	the	DET
bracis-33563	148	29	best	good	ADJ
bracis-33563	148	30	or	or	CCONJ
bracis-33563	148	31	equivalent	equivalent	ADJ
bracis-33563	148	32	to	to	ADP
bracis-33563	148	33	the	the	DET
bracis-33563	148	34	best	good	ADJ
bracis-33563	148	35	metric	metric	ADJ
bracis-33563	148	36	(	(	PUNCT
bracis-33563	148	37	f1	f1	NOUN
bracis-33563	148	38	-	-	PUNCT
bracis-33563	148	39	score	score	NOUN
bracis-33563	148	40	or	or	CCONJ
bracis-33563	148	41	kappa	kappa	ADJ
bracis-33563	148	42	)	)	PUNCT
bracis-33563	148	43	value	value	NOUN
bracis-33563	148	44	.	.	PUNCT
bracis-33563	149	1	avg	avg	PROPN
bracis-33563	149	2	.	.	PROPN
bracis-33563	150	1	metric	metric	ADJ
bracis-33563	150	2	(	(	PUNCT
bracis-33563	150	3	f1	f1	NOUN
bracis-33563	150	4	-	-	PUNCT
bracis-33563	150	5	score	score	NOUN
bracis-33563	150	6	or	or	CCONJ
bracis-33563	150	7	kappa	kappa	ADJ
bracis-33563	150	8	)	)	PUNCT
bracis-33563	150	9	that	that	PRON
bracis-33563	150	10	represents	represent	VERB
bracis-33563	150	11	the	the	DET
bracis-33563	150	12	average	average	NOUN
bracis-33563	150	13	of	of	ADP
bracis-33563	150	14	metric	metric	ADJ
bracis-33563	150	15	(	(	PUNCT
bracis-33563	150	16	f1	f1	NOUN
bracis-33563	150	17	-	-	PUNCT
bracis-33563	150	18	score	score	NOUN
bracis-33563	150	19	or	or	CCONJ
bracis-33563	150	20	kappa	kappa	ADJ
bracis-33563	150	21	)	)	PUNCT
bracis-33563	150	22	value	value	NOUN
bracis-33563	150	23	from	from	ADP
bracis-33563	150	24	all	all	DET
bracis-33563	150	25	experiments	experiment	NOUN
bracis-33563	150	26	.	.	PUNCT
bracis-33563	151	1	the	the	DET
bracis-33563	151	2	algorithms	algorithm	NOUN
bracis-33563	151	3	are	be	AUX
bracis-33563	151	4	ranked	rank	VERB
bracis-33563	151	5	by	by	ADP
bracis-33563	151	6	the	the	DET
bracis-33563	151	7	total	total	ADJ
bracis-33563	151	8	best	good	ADJ
bracis-33563	151	9	value	value	NOUN
bracis-33563	151	10	and	and	CCONJ
bracis-33563	151	11	,	,	PUNCT
bracis-33563	151	12	in	in	ADP
bracis-33563	151	13	case	case	NOUN
bracis-33563	151	14	of	of	ADP
bracis-33563	151	15	a	a	DET
bracis-33563	151	16	tie	tie	NOUN
bracis-33563	151	17	,	,	PUNCT
bracis-33563	151	18	the	the	DET
bracis-33563	151	19	avg	avg	NOUN
bracis-33563	151	20	.	.	PROPN
bracis-33563	152	1	metric	metric	ADJ
bracis-33563	152	2	(	(	PUNCT
bracis-33563	152	3	f1	f1	NOUN
bracis-33563	152	4	-	-	PUNCT
bracis-33563	152	5	score	score	NOUN
bracis-33563	152	6	or	or	CCONJ
bracis-33563	152	7	kappa	kappa	ADJ
bracis-33563	152	8	)	)	PUNCT
bracis-33563	152	9	is	be	AUX
bracis-33563	152	10	used	use	VERB
bracis-33563	152	11	to	to	PART
bracis-33563	152	12	rank	rank	VERB
bracis-33563	152	13	the	the	DET
bracis-33563	152	14	algorithms	algorithm	NOUN
bracis-33563	152	15	.	.	PUNCT
bracis-33563	153	1	we	we	PRON
bracis-33563	153	2	prioritize	prioritize	VERB
bracis-33563	153	3	the	the	DET
bracis-33563	153	4	total	total	ADJ
bracis-33563	153	5	best	good	ADJ
bracis-33563	153	6	value	value	NOUN
bracis-33563	153	7	over	over	ADP
bracis-33563	153	8	avg	avg	PROPN
bracis-33563	153	9	.	.	PROPN
bracis-33563	154	1	metric	metric	ADJ
bracis-33563	154	2	(	(	PUNCT
bracis-33563	154	3	f1	f1	NOUN
bracis-33563	154	4	-	-	PUNCT
bracis-33563	154	5	score	score	NOUN
bracis-33563	154	6	or	or	CCONJ
bracis-33563	154	7	kappa	kappa	ADJ
bracis-33563	154	8	)	)	PUNCT
bracis-33563	154	9	since	since	SCONJ
bracis-33563	154	10	averages	average	NOUN
bracis-33563	154	11	can	can	AUX
bracis-33563	154	12	be	be	AUX
bracis-33563	154	13	skewed	skew	VERB
bracis-33563	154	14	by	by	ADP
bracis-33563	154	15	the	the	DET
bracis-33563	154	16	outcomes	outcome	NOUN
bracis-33563	154	17	from	from	ADP
bracis-33563	154	18	specific	specific	ADJ
bracis-33563	154	19	datasets	dataset	NOUN
bracis-33563	154	20	.	.	PUNCT
bracis-33563	155	1	in	in	ADP
bracis-33563	155	2	certain	certain	ADJ
bracis-33563	155	3	scenarios	scenario	NOUN
bracis-33563	155	4	,	,	PUNCT
bracis-33563	155	5	an	an	DET
bracis-33563	155	6	algorithm	algorithm	NOUN
bracis-33563	155	7	might	might	AUX
bracis-33563	155	8	exhibit	exhibit	VERB
bracis-33563	155	9	a	a	DET
bracis-33563	155	10	significantly	significantly	ADV
bracis-33563	155	11	higher	high	ADJ
bracis-33563	155	12	or	or	CCONJ
bracis-33563	155	13	lower	low	ADJ
bracis-33563	155	14	avg	avg	NOUN
bracis-33563	155	15	.	.	PROPN
bracis-33563	156	1	metric	metric	ADJ
bracis-33563	156	2	(	(	PUNCT
bracis-33563	156	3	f1	f1	NOUN
bracis-33563	156	4	-	-	PUNCT
bracis-33563	156	5	score	score	NOUN
bracis-33563	156	6	or	or	CCONJ
bracis-33563	156	7	kappa	kappa	ADJ
bracis-33563	156	8	)	)	PUNCT
bracis-33563	157	1	due	due	ADP
bracis-33563	157	2	to	to	ADP
bracis-33563	157	3	unique	unique	ADJ
bracis-33563	157	4	characteristics	characteristic	NOUN
bracis-33563	157	5	inherent	inherent	ADJ
bracis-33563	157	6	to	to	ADP
bracis-33563	157	7	a	a	DET
bracis-33563	157	8	particular	particular	ADJ
bracis-33563	157	9	dataset	dataset	NOUN
bracis-33563	157	10	.	.	PUNCT
bracis-33563	158	1	hence	hence	ADV
bracis-33563	158	2	,	,	PUNCT
bracis-33563	158	3	it	it	PRON
bracis-33563	158	4	is	be	AUX
bracis-33563	158	5	possible	possible	ADJ
bracis-33563	158	6	for	for	SCONJ
bracis-33563	158	7	an	an	DET
bracis-33563	158	8	algorithm	algorithm	NOUN
bracis-33563	158	9	to	to	PART
bracis-33563	158	10	rank	rank	VERB
bracis-33563	158	11	first	first	ADV
bracis-33563	158	12	in	in	ADP
bracis-33563	158	13	total	total	ADJ
bracis-33563	158	14	best	good	ADJ
bracis-33563	158	15	while	while	SCONJ
bracis-33563	158	16	manifesting	manifest	VERB
bracis-33563	158	17	the	the	DET
bracis-33563	158	18	least	least	ADV
bracis-33563	158	19	favorable	favorable	ADJ
bracis-33563	158	20	results	result	NOUN
bracis-33563	158	21	when	when	SCONJ
bracis-33563	158	22	evaluated	evaluate	VERB
bracis-33563	158	23	by	by	ADP
bracis-33563	158	24	avg	avg	PROPN
bracis-33563	158	25	.	.	PROPN
bracis-33563	159	1	metric	metric	ADJ
bracis-33563	159	2	(	(	PUNCT
bracis-33563	159	3	f1	f1	NOUN
bracis-33563	159	4	-	-	PUNCT
bracis-33563	159	5	score	score	NOUN
bracis-33563	159	6	or	or	CCONJ
bracis-33563	159	7	kappa	kappa	ADJ
bracis-33563	159	8	)	)	PUNCT
bracis-33563	159	9	,	,	PUNCT
bracis-33563	159	10	due	due	ADP
bracis-33563	159	11	to	to	ADP
bracis-33563	159	12	notably	notably	ADV
bracis-33563	159	13	poorer	poor	ADJ
bracis-33563	159	14	performance	performance	NOUN
bracis-33563	159	15	in	in	ADP
bracis-33563	159	16	a	a	DET
bracis-33563	159	17	few	few	ADJ
bracis-33563	159	18	experiments	experiment	NOUN
bracis-33563	159	19	.	.	PUNCT
bracis-33563	160	1	4.4	4.4	NUM
bracis-33563	160	2	experiments	experiment	NOUN
bracis-33563	160	3	configuration	configuration	NOUN
bracis-33563	160	4	in	in	ADP
bracis-33563	160	5	this	this	DET
bracis-33563	160	6	study	study	NOUN
bracis-33563	160	7	,	,	PUNCT
bracis-33563	160	8	we	we	PRON
bracis-33563	160	9	define	define	VERB
bracis-33563	160	10	an	an	DET
bracis-33563	160	11	experiment	experiment	NOUN
bracis-33563	160	12	as	as	ADP
bracis-33563	160	13	the	the	DET
bracis-33563	160	14	execution	execution	NOUN
bracis-33563	160	15	of	of	ADP
bracis-33563	160	16	an	an	DET
bracis-33563	160	17	algorithm	algorithm	NOUN
bracis-33563	160	18	on	on	ADP
bracis-33563	160	19	a	a	DET
bracis-33563	160	20	data	data	NOUN
bracis-33563	160	21	stream	stream	NOUN
bracis-33563	160	22	.	.	PUNCT
bracis-33563	161	1	to	to	PART
bracis-33563	161	2	compare	compare	VERB
bracis-33563	161	3	the	the	DET
bracis-33563	161	4	algorithms	algorithm	NOUN
bracis-33563	161	5	,	,	PUNCT
bracis-33563	161	6	experiments	experiment	NOUN
bracis-33563	161	7	were	be	AUX
bracis-33563	161	8	performed	perform	VERB
bracis-33563	161	9	with	with	ADP
bracis-33563	161	10	synthetic	synthetic	ADJ
bracis-33563	161	11	and	and	CCONJ
bracis-33563	161	12	real	real	ADJ
bracis-33563	161	13	data	datum	NOUN
bracis-33563	161	14	streams	stream	NOUN
bracis-33563	161	15	.	.	PUNCT
bracis-33563	162	1	for	for	ADP
bracis-33563	162	2	the	the	DET
bracis-33563	162	3	synthetic	synthetic	ADJ
bracis-33563	162	4	data	datum	NOUN
bracis-33563	162	5	,	,	PUNCT
bracis-33563	162	6	the	the	DET
bracis-33563	162	7	number	number	NOUN
bracis-33563	162	8	of	of	ADP
bracis-33563	162	9	streams	stream	NOUN
bracis-33563	162	10	was	be	AUX
bracis-33563	162	11	40	40	NUM
bracis-33563	162	12	without	without	ADP
bracis-33563	162	13	concept	concept	NOUN
bracis-33563	162	14	drift	drift	NOUN
bracis-33563	162	15	,	,	PUNCT
bracis-33563	162	16	40	40	NUM
bracis-33563	162	17	with	with	ADP
bracis-33563	162	18	gradual	gradual	ADJ
bracis-33563	162	19	concept	concept	NOUN
bracis-33563	162	20	drift	drift	NOUN
bracis-33563	162	21	,	,	PUNCT
bracis-33563	162	22	and	and	CCONJ
bracis-33563	162	23	40	40	NUM
bracis-33563	162	24	with	with	ADP
bracis-33563	162	25	sudden	sudden	ADJ
bracis-33563	162	26	concept	concept	NOUN
bracis-33563	162	27	drift	drift	NOUN
bracis-33563	162	28	.	.	PUNCT
bracis-33563	163	1	this	this	PRON
bracis-33563	163	2	is	be	AUX
bracis-33563	163	3	because	because	SCONJ
bracis-33563	163	4	there	there	PRON
bracis-33563	163	5	are	be	VERB
bracis-33563	163	6	8	8	NUM
bracis-33563	163	7	synthetic	synthetic	ADJ
bracis-33563	163	8	data	datum	NOUN
bracis-33563	163	9	streams	stream	NOUN
bracis-33563	163	10	generators	generator	NOUN
bracis-33563	163	11	,	,	PUNCT
bracis-33563	163	12	and	and	CCONJ
bracis-33563	163	13	each	each	PRON
bracis-33563	163	14	has	have	VERB
bracis-33563	163	15	one	one	NUM
bracis-33563	163	16	experiment	experiment	NOUN
bracis-33563	163	17	for	for	ADP
bracis-33563	163	18	every	every	DET
bracis-33563	163	19	ratio	ratio	NOUN
bracis-33563	163	20	of	of	ADP
bracis-33563	163	21	data	datum	NOUN
bracis-33563	163	22	imbalance	imbalance	NOUN
bracis-33563	163	23	:	:	PUNCT
bracis-33563	163	24	90:10	90:10	NUM
bracis-33563	163	25	,	,	PUNCT
bracis-33563	163	26	95:5	95:5	NUM
bracis-33563	163	27	,	,	PUNCT
bracis-33563	163	28	97.5:2.5	97.5:2.5	NUM
bracis-33563	163	29	,	,	PUNCT
bracis-33563	163	30	99:1	99:1	NUM
bracis-33563	163	31	,	,	PUNCT
bracis-33563	163	32	and	and	CCONJ
bracis-33563	163	33	99.5:0.5	99.5:0.5	X
bracis-33563	163	34	.	.	PROPN
bracis-33563	164	1	for	for	ADP
bracis-33563	164	2	the	the	DET
bracis-33563	164	3	real	real	ADJ
bracis-33563	164	4	data	datum	NOUN
bracis-33563	164	5	streams	stream	NOUN
bracis-33563	164	6	,	,	PUNCT
bracis-33563	164	7	the	the	DET
bracis-33563	164	8	number	number	NOUN
bracis-33563	164	9	of	of	ADP
bracis-33563	164	10	experiments	experiment	NOUN
bracis-33563	164	11	was	be	AUX
bracis-33563	164	12	16	16	NUM
bracis-33563	164	13	which	which	PRON
bracis-33563	164	14	corresponds	correspond	VERB
bracis-33563	164	15	to	to	ADP
bracis-33563	164	16	the	the	DET
bracis-33563	164	17	number	number	NOUN
bracis-33563	164	18	of	of	ADP
bracis-33563	164	19	real	real	ADJ
bracis-33563	164	20	data	datum	NOUN
bracis-33563	164	21	streams	stream	NOUN
bracis-33563	164	22	.	.	PUNCT
bracis-33563	165	1	since	since	SCONJ
bracis-33563	165	2	9	9	NUM
bracis-33563	165	3	algorithms	algorithm	NOUN
bracis-33563	165	4	were	be	AUX
bracis-33563	165	5	evaluated	evaluate	VERB
bracis-33563	165	6	across	across	ADP
bracis-33563	165	7	136	136	NUM
bracis-33563	165	8	data	datum	NOUN
bracis-33563	165	9	streams	stream	NOUN
bracis-33563	165	10	,	,	PUNCT
bracis-33563	165	11	there	there	PRON
bracis-33563	165	12	are	be	VERB
bracis-33563	165	13	1,224	1,224	NUM
bracis-33563	165	14	experimental	experimental	ADJ
bracis-33563	165	15	configurations	configuration	NOUN
bracis-33563	165	16	.	.	PUNCT
bracis-33563	166	1	to	to	PART
bracis-33563	166	2	mitigate	mitigate	VERB
bracis-33563	166	3	potential	potential	ADJ
bracis-33563	166	4	impacts	impact	NOUN
bracis-33563	166	5	of	of	ADP
bracis-33563	166	6	performance	performance	NOUN
bracis-33563	166	7	anomalies	anomaly	NOUN
bracis-33563	166	8	associated	associate	VERB
bracis-33563	166	9	with	with	ADP
bracis-33563	166	10	specific	specific	ADJ
bracis-33563	166	11	chunk	chunk	ADJ
bracis-33563	166	12	characteristics	characteristic	NOUN
bracis-33563	166	13	or	or	CCONJ
bracis-33563	166	14	random	random	ADJ
bracis-33563	166	15	initialization	initialization	NOUN
bracis-33563	166	16	of	of	ADP
bracis-33563	166	17	the	the	DET
bracis-33563	166	18	experts	expert	NOUN
bracis-33563	166	19	,	,	PUNCT
bracis-33563	166	20	each	each	DET
bracis-33563	166	21	experiment	experiment	NOUN
bracis-33563	166	22	was	be	AUX
bracis-33563	166	23	executed	execute	VERB
bracis-33563	166	24	10	10	NUM
bracis-33563	166	25	times	time	NOUN
bracis-33563	166	26	,	,	PUNCT
bracis-33563	166	27	resulting	result	VERB
bracis-33563	166	28	in	in	ADP
bracis-33563	166	29	12,240	12,240	NUM
bracis-33563	166	30	experimental	experimental	ADJ
bracis-33563	166	31	runs	run	NOUN
bracis-33563	166	32	.	.	PUNCT
bracis-33563	167	1	to	to	PART
bracis-33563	167	2	calculate	calculate	VERB
bracis-33563	167	3	the	the	DET
bracis-33563	167	4	f1	f1	NOUN
bracis-33563	167	5	-	-	PUNCT
bracis-33563	167	6	score	score	NOUN
bracis-33563	167	7	and	and	CCONJ
bracis-33563	167	8	kappa	kappa	ADJ
bracis-33563	167	9	values	value	NOUN
bracis-33563	167	10	for	for	ADP
bracis-33563	167	11	each	each	DET
bracis-33563	167	12	algorithm	algorithm	NOUN
bracis-33563	167	13	on	on	ADP
bracis-33563	167	14	each	each	DET
bracis-33563	167	15	data	datum	NOUN
bracis-33563	167	16	stream	stream	NOUN
bracis-33563	167	17	,	,	PUNCT
bracis-33563	167	18	the	the	DET
bracis-33563	167	19	average	average	ADJ
bracis-33563	167	20	value	value	NOUN
bracis-33563	167	21	of	of	ADP
bracis-33563	167	22	the	the	DET
bracis-33563	167	23	metrics	metric	NOUN
bracis-33563	167	24	was	be	AUX
bracis-33563	167	25	calculated	calculate	VERB
bracis-33563	167	26	over	over	ADP
bracis-33563	167	27	all	all	DET
bracis-33563	167	28	the	the	DET
bracis-33563	167	29	chunks	chunk	NOUN
bracis-33563	167	30	of	of	ADP
bracis-33563	167	31	each	each	DET
bracis-33563	167	32	run	run	NOUN
bracis-33563	167	33	,	,	PUNCT
bracis-33563	167	34	using	use	VERB
bracis-33563	167	35	the	the	DET
bracis-33563	167	36	“	"	PUNCT
bracis-33563	167	37	moa.tasks.evaluateprequential	moa.tasks.evaluateprequential	ADJ
bracis-33563	167	38	”	"	PUNCT
bracis-33563	167	39	configuration	configuration	NOUN
bracis-33563	167	40	of	of	ADP
bracis-33563	167	41	moa	moa	NOUN
bracis-33563	167	42	.	.	PUNCT
bracis-33563	168	1	each	each	DET
bracis-33563	168	2	new	new	ADJ
bracis-33563	168	3	chunk	chunk	NOUN
bracis-33563	168	4	is	be	AUX
bracis-33563	168	5	processed	process	VERB
bracis-33563	168	6	in	in	ADP
bracis-33563	168	7	two	two	NUM
bracis-33563	168	8	steps	step	NOUN
bracis-33563	168	9	:	:	PUNCT
bracis-33563	168	10	(	(	PUNCT
bracis-33563	168	11	i	i	NOUN
bracis-33563	168	12	)	)	PUNCT
bracis-33563	168	13	evaluate	evaluate	VERB
bracis-33563	168	14	the	the	DET
bracis-33563	168	15	current	current	ADJ
bracis-33563	168	16	ensemble	ensemble	ADJ
bracis-33563	168	17	on	on	ADP
bracis-33563	168	18	the	the	DET
bracis-33563	168	19	chunk	chunk	NOUN
bracis-33563	168	20	,	,	PUNCT
bracis-33563	168	21	computing	compute	VERB
bracis-33563	168	22	the	the	DET
bracis-33563	168	23	f1	f1	NOUN
bracis-33563	168	24	-	-	PUNCT
bracis-33563	168	25	score	score	NOUN
bracis-33563	168	26	and	and	CCONJ
bracis-33563	168	27	kappa	kappa	NOUN
bracis-33563	168	28	in	in	ADP
bracis-33563	168	29	line	line	NOUN
bracis-33563	168	30	18	18	NUM
bracis-33563	168	31	of	of	ADP
bracis-33563	168	32	algorithm	algorithm	NOUN
bracis-33563	168	33	 	 	SPACE
bracis-33563	168	34	2	2	NUM
bracis-33563	168	35	;	;	PUNCT
bracis-33563	168	36	and	and	CCONJ
bracis-33563	168	37	(	(	PUNCT
bracis-33563	168	38	ii	ii	NOUN
bracis-33563	168	39	)	)	PUNCT
bracis-33563	168	40	update	update	NOUN
bracis-33563	168	41	the	the	DET
bracis-33563	168	42	ensemble	ensemble	ADJ
bracis-33563	168	43	with	with	ADP
bracis-33563	168	44	the	the	DET
bracis-33563	168	45	new	new	ADJ
bracis-33563	168	46	chunk	chunk	NOUN
bracis-33563	168	47	in	in	ADP
bracis-33563	168	48	line	line	NOUN
bracis-33563	168	49	19	19	NUM
bracis-33563	168	50	of	of	ADP
bracis-33563	168	51	algorithm	algorithm	NOUN
bracis-33563	168	52	 	 	SPACE
bracis-33563	168	53	2	2	NUM
bracis-33563	168	54	.	.	PUNCT
bracis-33563	169	1	the	the	DET
bracis-33563	169	2	time	time	NOUN
bracis-33563	169	3	limit	limit	NOUN
bracis-33563	169	4	for	for	ADP
bracis-33563	169	5	each	each	DET
bracis-33563	169	6	experiment	experiment	NOUN
bracis-33563	169	7	execution	execution	NOUN
bracis-33563	169	8	was	be	AUX
bracis-33563	169	9	60	60	NUM
bracis-33563	169	10	 	 	SPACE
bracis-33563	169	11	min	min	NOUN
bracis-33563	169	12	.	.	PUNCT
bracis-33563	170	1	the	the	DET
bracis-33563	170	2	experiments	experiment	NOUN
bracis-33563	170	3	were	be	AUX
bracis-33563	170	4	conducted	conduct	VERB
bracis-33563	170	5	on	on	ADP
bracis-33563	170	6	an	an	DET
bracis-33563	170	7	apple	apple	NOUN
bracis-33563	170	8	m1	m1	NOUN
bracis-33563	170	9	pro	pro	ADJ
bracis-33563	170	10	cpu	cpu	NOUN
bracis-33563	170	11	with	with	ADP
bracis-33563	170	12	16	16	NUM
bracis-33563	170	13	gb	gb	NOUN
bracis-33563	170	14	of	of	ADP
bracis-33563	170	15	memory	memory	NOUN
bracis-33563	170	16	,	,	PUNCT
bracis-33563	170	17	running	run	VERB
bracis-33563	170	18	macos	macos	NOUN
bracis-33563	170	19	ventura	ventura	NOUN
bracis-33563	170	20	13.3	13.3	NUM
bracis-33563	170	21	.	.	PUNCT
bracis-33563	171	1	4.5	4.5	NUM
bracis-33563	171	2	synthetic	synthetic	ADJ
bracis-33563	171	3	imbalanced	imbalanced	ADJ
bracis-33563	171	4	data	data	NOUN
bracis-33563	171	5	streams	stream	NOUN
bracis-33563	171	6	without	without	ADP
bracis-33563	171	7	concept	concept	NOUN
bracis-33563	171	8	drift	drift	NOUN
bracis-33563	171	9	in	in	ADP
bracis-33563	171	10	this	this	DET
bracis-33563	171	11	section	section	NOUN
bracis-33563	171	12	,	,	PUNCT
bracis-33563	171	13	we	we	PRON
bracis-33563	171	14	address	address	VERB
bracis-33563	171	15	the	the	DET
bracis-33563	171	16	results	result	NOUN
bracis-33563	171	17	obtained	obtain	VERB
bracis-33563	171	18	from	from	ADP
bracis-33563	171	19	40	40	NUM
bracis-33563	171	20	experiments	experiment	NOUN
bracis-33563	171	21	(	(	PUNCT
bracis-33563	171	22	8	8	NUM
bracis-33563	171	23	synthetic	synthetic	ADJ
bracis-33563	171	24	imbalanced	imbalanced	ADJ
bracis-33563	171	25	data	data	NOUN
bracis-33563	171	26	streams	stream	NOUN
bracis-33563	171	27	without	without	ADP
bracis-33563	171	28	concept	concept	NOUN
bracis-33563	171	29	drift	drift	NOUN
bracis-33563	171	30	and	and	CCONJ
bracis-33563	171	31	5	5	NUM
bracis-33563	171	32	different	different	ADJ
bracis-33563	171	33	imbalance	imbalance	NOUN
bracis-33563	171	34	rates	rate	NOUN
bracis-33563	171	35	)	)	PUNCT
bracis-33563	171	36	.	.	PUNCT
bracis-33563	172	1	baswe	baswe	NOUN
bracis-33563	172	2	achieved	achieve	VERB
bracis-33563	172	3	the	the	DET
bracis-33563	172	4	highest	high	ADJ
bracis-33563	172	5	total	total	ADJ
bracis-33563	172	6	best	good	ADJ
bracis-33563	172	7	value	value	NOUN
bracis-33563	172	8	for	for	ADP
bracis-33563	172	9	both	both	DET
bracis-33563	172	10	f1	f1	NOUN
bracis-33563	172	11	-	-	PUNCT
bracis-33563	172	12	score	score	NOUN
bracis-33563	172	13	(	(	PUNCT
bracis-33563	172	14	15	15	NUM
bracis-33563	172	15	of	of	ADP
bracis-33563	172	16	40	40	NUM
bracis-33563	172	17	experiments	experiment	NOUN
bracis-33563	172	18	)	)	PUNCT
bracis-33563	172	19	and	and	CCONJ
bracis-33563	172	20	kappa	kappa	ADJ
bracis-33563	172	21	(	(	PUNCT
bracis-33563	172	22	20	20	NUM
bracis-33563	172	23	of	of	ADP
bracis-33563	172	24	40	40	NUM
bracis-33563	172	25	experiments	experiment	NOUN
bracis-33563	172	26	)	)	PUNCT
bracis-33563	172	27	.	.	PUNCT
bracis-33563	173	1	the	the	DET
bracis-33563	173	2	second	second	ADV
bracis-33563	173	3	-	-	PUNCT
bracis-33563	173	4	best	good	ADJ
bracis-33563	173	5	total	total	ADJ
bracis-33563	173	6	best	good	ADJ
bracis-33563	173	7	value	value	NOUN
bracis-33563	173	8	for	for	ADP
bracis-33563	173	9	both	both	DET
bracis-33563	173	10	measures	measure	NOUN
bracis-33563	173	11	was	be	AUX
bracis-33563	173	12	achieved	achieve	VERB
bracis-33563	173	13	by	by	ADP
bracis-33563	173	14	the	the	DET
bracis-33563	173	15	oob	oob	NOUN
bracis-33563	173	16	ensemble	ensemble	ADJ
bracis-33563	173	17	classifier	classifier	NOUN
bracis-33563	173	18	.	.	PUNCT
bracis-33563	174	1	conversely	conversely	ADV
bracis-33563	174	2	,	,	PUNCT
bracis-33563	174	3	the	the	DET
bracis-33563	174	4	csarf	csarf	NOUN
bracis-33563	174	5	algorithm	algorithm	NOUN
bracis-33563	174	6	recorded	record	VERB
bracis-33563	174	7	the	the	DET
bracis-33563	174	8	lowest	low	ADJ
bracis-33563	174	9	total	total	ADJ
bracis-33563	174	10	best	good	ADJ
bracis-33563	174	11	value	value	NOUN
bracis-33563	174	12	,	,	PUNCT
bracis-33563	174	13	securing	secure	VERB
bracis-33563	174	14	the	the	DET
bracis-33563	174	15	total	total	ADJ
bracis-33563	174	16	best	good	ADJ
bracis-33563	174	17	f1	f1	ADJ
bracis-33563	174	18	-	-	PUNCT
bracis-33563	174	19	score	score	NOUN
bracis-33563	174	20	value	value	NOUN
bracis-33563	174	21	in	in	ADP
bracis-33563	174	22	just	just	ADV
bracis-33563	174	23	2	2	NUM
bracis-33563	174	24	of	of	ADP
bracis-33563	174	25	40	40	NUM
bracis-33563	174	26	experiments	experiment	NOUN
bracis-33563	174	27	and	and	CCONJ
bracis-33563	174	28	kappa	kappa	NOUN
bracis-33563	174	29	in	in	ADP
bracis-33563	174	30	3	3	NUM
bracis-33563	174	31	of	of	ADP
bracis-33563	174	32	40	40	NUM
bracis-33563	174	33	.	.	PUNCT
bracis-33563	175	1	smote	smote	VERB
bracis-33563	175	2	-	-	PUNCT
bracis-33563	175	3	ob	ob	NOUN
bracis-33563	175	4	did	do	AUX
bracis-33563	175	5	not	not	PART
bracis-33563	175	6	finish	finish	VERB
bracis-33563	175	7	executing	execute	VERB
bracis-33563	175	8	the	the	DET
bracis-33563	175	9	experiments	experiment	NOUN
bracis-33563	175	10	within	within	ADP
bracis-33563	175	11	the	the	DET
bracis-33563	175	12	time	time	NOUN
bracis-33563	175	13	constraint	constraint	NOUN
bracis-33563	175	14	of	of	ADP
bracis-33563	175	15	60	60	NUM
bracis-33563	175	16	 	 	SPACE
bracis-33563	175	17	min	min	NOUN
bracis-33563	175	18	.	.	PROPN
bracis-33563	175	19	4.6	4.6	NUM
bracis-33563	175	20	synthetic	synthetic	ADJ
bracis-33563	175	21	imbalanced	imbalanced	ADJ
bracis-33563	175	22	data	data	NOUN
bracis-33563	175	23	streams	stream	NOUN
bracis-33563	175	24	with	with	ADP
bracis-33563	175	25	 	 	SPACE
bracis-33563	175	26	concept	concept	NOUN
bracis-33563	175	27	drift	drift	NOUN
bracis-33563	175	28	in	in	ADP
bracis-33563	175	29	this	this	DET
bracis-33563	175	30	section	section	NOUN
bracis-33563	175	31	,	,	PUNCT
bracis-33563	175	32	we	we	PRON
bracis-33563	175	33	address	address	VERB
bracis-33563	175	34	the	the	DET
bracis-33563	175	35	results	result	NOUN
bracis-33563	175	36	obtained	obtain	VERB
bracis-33563	175	37	from	from	ADP
bracis-33563	175	38	80	80	NUM
bracis-33563	175	39	experiments	experiment	NOUN
bracis-33563	175	40	(	(	PUNCT
bracis-33563	175	41	5	5	NUM
bracis-33563	175	42	different	different	ADJ
bracis-33563	175	43	imbalance	imbalance	NOUN
bracis-33563	175	44	rates	rate	NOUN
bracis-33563	175	45	with	with	ADP
bracis-33563	175	46	8	8	NUM
bracis-33563	175	47	imbalanced	imbalanced	ADJ
bracis-33563	175	48	synthetic	synthetic	ADJ
bracis-33563	175	49	data	datum	NOUN
bracis-33563	175	50	streams	stream	NOUN
bracis-33563	175	51	with	with	ADP
bracis-33563	175	52	sudden	sudden	ADJ
bracis-33563	175	53	concept	concept	NOUN
bracis-33563	175	54	drift	drift	NOUN
bracis-33563	175	55	and	and	CCONJ
bracis-33563	175	56	8	8	NUM
bracis-33563	175	57	with	with	ADP
bracis-33563	175	58	gradual	gradual	ADJ
bracis-33563	175	59	concept	concept	NOUN
bracis-33563	175	60	drift	drift	NOUN
bracis-33563	175	61	)	)	PUNCT
bracis-33563	175	62	.	.	PUNCT
bracis-33563	176	1	for	for	ADP
bracis-33563	176	2	experiments	experiment	NOUN
bracis-33563	176	3	with	with	ADP
bracis-33563	176	4	gradual	gradual	ADJ
bracis-33563	176	5	drift	drift	NOUN
bracis-33563	176	6	,	,	PUNCT
bracis-33563	176	7	the	the	DET
bracis-33563	176	8	datasets	dataset	NOUN
bracis-33563	176	9	followed	follow	VERB
bracis-33563	176	10	a	a	DET
bracis-33563	176	11	consistent	consistent	ADJ
bracis-33563	176	12	pattern	pattern	NOUN
bracis-33563	176	13	until	until	ADP
bracis-33563	176	14	the	the	DET
bracis-33563	176	15	40,000th	40,000th	NUM
bracis-33563	176	16	instance	instance	NOUN
bracis-33563	176	17	.	.	PUNCT
bracis-33563	177	1	from	from	ADP
bracis-33563	177	2	this	this	DET
bracis-33563	177	3	point	point	NOUN
bracis-33563	177	4	,	,	PUNCT
bracis-33563	177	5	a	a	DET
bracis-33563	177	6	gradual	gradual	ADJ
bracis-33563	177	7	drift	drift	NOUN
bracis-33563	177	8	began	begin	VERB
bracis-33563	177	9	,	,	PUNCT
bracis-33563	177	10	continuing	continue	VERB
bracis-33563	177	11	over	over	ADP
bracis-33563	177	12	a	a	DET
bracis-33563	177	13	span	span	NOUN
bracis-33563	177	14	of	of	ADP
bracis-33563	177	15	20,000	20,000	NUM
bracis-33563	177	16	instances	instance	NOUN
bracis-33563	177	17	until	until	ADP
bracis-33563	177	18	the	the	DET
bracis-33563	177	19	60,000th	60,000th	NUM
bracis-33563	177	20	instance	instance	NOUN
bracis-33563	177	21	.	.	PUNCT
bracis-33563	178	1	for	for	ADP
bracis-33563	178	2	experiments	experiment	NOUN
bracis-33563	178	3	with	with	ADP
bracis-33563	178	4	sudden	sudden	ADJ
bracis-33563	178	5	drift	drift	NOUN
bracis-33563	178	6	,	,	PUNCT
bracis-33563	178	7	the	the	DET
bracis-33563	178	8	datasets	dataset	NOUN
bracis-33563	178	9	maintained	maintain	VERB
bracis-33563	178	10	a	a	DET
bracis-33563	178	11	stable	stable	ADJ
bracis-33563	178	12	pattern	pattern	NOUN
bracis-33563	178	13	until	until	ADP
bracis-33563	178	14	the	the	DET
bracis-33563	178	15	40,000th	40,000th	NUM
bracis-33563	178	16	instance	instance	NOUN
bracis-33563	178	17	,	,	PUNCT
bracis-33563	178	18	where	where	SCONJ
bracis-33563	178	19	an	an	DET
bracis-33563	178	20	immediate	immediate	ADJ
bracis-33563	178	21	and	and	CCONJ
bracis-33563	178	22	abrupt	abrupt	ADJ
bracis-33563	178	23	change	change	NOUN
bracis-33563	178	24	occurred	occur	VERB
bracis-33563	178	25	.	.	PUNCT
bracis-33563	179	1	in	in	ADP
bracis-33563	179	2	both	both	DET
bracis-33563	179	3	scenarios	scenario	NOUN
bracis-33563	179	4	,	,	PUNCT
bracis-33563	179	5	with	with	ADP
bracis-33563	179	6	gradual	gradual	ADJ
bracis-33563	179	7	and	and	CCONJ
bracis-33563	179	8	sudden	sudden	ADJ
bracis-33563	179	9	drifts	drift	NOUN
bracis-33563	179	10	,	,	PUNCT
bracis-33563	179	11	smote	smote	VERB
bracis-33563	179	12	-	-	PUNCT
bracis-33563	179	13	ob	ob	NOUN
bracis-33563	179	14	did	do	AUX
bracis-33563	179	15	not	not	PART
bracis-33563	179	16	finish	finish	VERB
bracis-33563	179	17	the	the	DET
bracis-33563	179	18	experiments	experiment	NOUN
bracis-33563	179	19	’	'	PUNCT
bracis-33563	179	20	execution	execution	NOUN
bracis-33563	179	21	within	within	ADP
bracis-33563	179	22	the	the	DET
bracis-33563	179	23	time	time	NOUN
bracis-33563	179	24	limit	limit	NOUN
bracis-33563	179	25	constraint	constraint	NOUN
bracis-33563	179	26	(	(	PUNCT
bracis-33563	179	27	60	60	NUM
bracis-33563	179	28	 	 	SPACE
bracis-33563	179	29	min	min	NOUN
bracis-33563	179	30	)	)	PUNCT
bracis-33563	179	31	.	.	PUNCT
bracis-33563	180	1	gradual	gradual	ADJ
bracis-33563	180	2	concept	concept	NOUN
bracis-33563	180	3	drift	drift	NOUN
bracis-33563	180	4	.	.	PUNCT
bracis-33563	181	1	table	table	NOUN
bracis-33563	181	2	 	 	SPACE
bracis-33563	181	3	1	1	NUM
bracis-33563	181	4	shows	show	VERB
bracis-33563	181	5	f1	f1	NOUN
bracis-33563	181	6	-	-	PUNCT
bracis-33563	181	7	score	score	NOUN
bracis-33563	181	8	and	and	CCONJ
bracis-33563	181	9	kappa	kappa	NOUN
bracis-33563	181	10	for	for	ADP
bracis-33563	181	11	the	the	DET
bracis-33563	181	12	experiments	experiment	NOUN
bracis-33563	181	13	over	over	ADP
bracis-33563	181	14	the	the	DET
bracis-33563	181	15	imbalanced	imbalanced	ADJ
bracis-33563	181	16	data	data	NOUN
bracis-33563	181	17	streams	stream	NOUN
bracis-33563	181	18	with	with	ADP
bracis-33563	181	19	gradual	gradual	ADJ
bracis-33563	181	20	concept	concept	NOUN
bracis-33563	181	21	drift	drift	NOUN
bracis-33563	181	22	.	.	PUNCT
bracis-33563	182	1	baswe	baswe	NOUN
bracis-33563	182	2	emerged	emerge	VERB
bracis-33563	182	3	as	as	ADP
bracis-33563	182	4	a	a	DET
bracis-33563	182	5	top	top	ADV
bracis-33563	182	6	-	-	PUNCT
bracis-33563	182	7	performing	perform	VERB
bracis-33563	182	8	algorithm	algorithm	NOUN
bracis-33563	182	9	,	,	PUNCT
bracis-33563	182	10	securing	secure	VERB
bracis-33563	182	11	the	the	DET
bracis-33563	182	12	highest	high	ADJ
bracis-33563	182	13	‘	'	PUNCT
bracis-33563	182	14	total	total	ADJ
bracis-33563	182	15	best	good	ADJ
bracis-33563	182	16	’	'	PUNCT
bracis-33563	182	17	value	value	NOUN
bracis-33563	182	18	in	in	ADP
bracis-33563	182	19	both	both	DET
bracis-33563	182	20	f1	f1	NOUN
bracis-33563	182	21	-	-	PUNCT
bracis-33563	182	22	score	score	NOUN
bracis-33563	182	23	(	(	PUNCT
bracis-33563	182	24	14	14	NUM
bracis-33563	182	25	out	out	ADP
bracis-33563	182	26	of	of	ADP
bracis-33563	182	27	40	40	NUM
bracis-33563	182	28	experiments	experiment	NOUN
bracis-33563	182	29	)	)	PUNCT
bracis-33563	182	30	and	and	CCONJ
bracis-33563	182	31	kappa	kappa	PROPN
bracis-33563	182	32	(	(	PUNCT
bracis-33563	182	33	19	19	NUM
bracis-33563	182	34	out	out	ADP
bracis-33563	182	35	of	of	ADP
bracis-33563	182	36	40	40	NUM
bracis-33563	182	37	experiments	experiment	NOUN
bracis-33563	182	38	)	)	PUNCT
bracis-33563	182	39	.	.	PUNCT
bracis-33563	183	1	for	for	ADP
bracis-33563	183	2	synthetic	synthetic	ADJ
bracis-33563	183	3	imbalanced	imbalanced	ADJ
bracis-33563	183	4	data	data	NOUN
bracis-33563	183	5	streams	stream	NOUN
bracis-33563	183	6	without	without	ADP
bracis-33563	183	7	concept	concept	NOUN
bracis-33563	183	8	drift	drift	NOUN
bracis-33563	183	9	,	,	PUNCT
bracis-33563	183	10	oob	oob	NOUN
bracis-33563	183	11	had	have	VERB
bracis-33563	183	12	the	the	DET
bracis-33563	183	13	highest	high	ADJ
bracis-33563	183	14	average	average	ADJ
bracis-33563	183	15	metric	metric	NOUN
bracis-33563	183	16	,	,	PUNCT
bracis-33563	183	17	whether	whether	SCONJ
bracis-33563	183	18	f1	f1	NOUN
bracis-33563	183	19	-	-	PUNCT
bracis-33563	183	20	score	score	NOUN
bracis-33563	183	21	or	or	CCONJ
bracis-33563	183	22	kappa	kappa	ADJ
bracis-33563	183	23	.	.	PUNCT
bracis-33563	184	1	however	however	ADV
bracis-33563	184	2	,	,	PUNCT
bracis-33563	184	3	in	in	ADP
bracis-33563	184	4	the	the	DET
bracis-33563	184	5	scenario	scenario	NOUN
bracis-33563	184	6	of	of	ADP
bracis-33563	184	7	synthetic	synthetic	ADJ
bracis-33563	184	8	imbalanced	imbalanced	ADJ
bracis-33563	184	9	data	data	NOUN
bracis-33563	184	10	streams	stream	NOUN
bracis-33563	184	11	with	with	ADP
bracis-33563	184	12	gradual	gradual	ADJ
bracis-33563	184	13	concept	concept	NOUN
bracis-33563	184	14	drift	drift	NOUN
bracis-33563	184	15	,	,	PUNCT
bracis-33563	184	16	baswe	baswe	NOUN
bracis-33563	184	17	took	take	VERB
bracis-33563	184	18	the	the	DET
bracis-33563	184	19	lead	lead	NOUN
bracis-33563	184	20	with	with	ADP
bracis-33563	184	21	the	the	DET
bracis-33563	184	22	highest	high	ADJ
bracis-33563	184	23	average	average	ADJ
bracis-33563	184	24	f1	f1	NOUN
bracis-33563	184	25	-	-	PUNCT
bracis-33563	184	26	score	score	NOUN
bracis-33563	184	27	and	and	CCONJ
bracis-33563	184	28	rose	rise	VERB
bracis-33563	184	29	had	have	VERB
bracis-33563	184	30	the	the	DET
bracis-33563	184	31	highest	high	ADJ
bracis-33563	184	32	average	average	ADJ
bracis-33563	184	33	kappa	kappa	PROPN
bracis-33563	184	34	.	.	PUNCT
bracis-33563	184	35	table	table	NOUN
bracis-33563	184	36	1	1	NUM
bracis-33563	184	37	.	.	PUNCT
bracis-33563	184	38	f1	f1	NOUN
bracis-33563	184	39	-	-	PUNCT
bracis-33563	184	40	score	score	NOUN
bracis-33563	184	41	(	(	PUNCT
bracis-33563	184	42	left	left	ADJ
bracis-33563	184	43	)	)	PUNCT
bracis-33563	184	44	and	and	CCONJ
bracis-33563	184	45	kappa	kappa	ADJ
bracis-33563	184	46	(	(	PUNCT
bracis-33563	184	47	right	right	NOUN
bracis-33563	184	48	)	)	PUNCT
bracis-33563	184	49	obtained	obtain	VERB
bracis-33563	184	50	by	by	ADP
bracis-33563	184	51	the	the	DET
bracis-33563	184	52	algorithms	algorithm	NOUN
bracis-33563	184	53	for	for	ADP
bracis-33563	184	54	the	the	DET
bracis-33563	184	55	eight	eight	NUM
bracis-33563	184	56	synthetic	synthetic	ADJ
bracis-33563	184	57	datasets	dataset	NOUN
bracis-33563	184	58	with	with	ADP
bracis-33563	184	59	gradual	gradual	ADJ
bracis-33563	184	60	concept	concept	NOUN
bracis-33563	184	61	driftfull	driftfull	VERB
bracis-33563	184	62	size	size	NOUN
bracis-33563	184	63	table	table	NOUN
bracis-33563	184	64	fig	fig	NOUN
bracis-33563	184	65	.	.	PUNCT
bracis-33563	185	1	1	1	X
bracis-33563	185	2	.	.	X
bracis-33563	185	3	f1	f1	NOUN
bracis-33563	185	4	-	-	PUNCT
bracis-33563	185	5	score	score	NOUN
bracis-33563	185	6	obtained	obtain	VERB
bracis-33563	185	7	by	by	ADP
bracis-33563	185	8	the	the	DET
bracis-33563	185	9	algorithms	algorithm	NOUN
bracis-33563	185	10	for	for	ADP
bracis-33563	185	11	the	the	DET
bracis-33563	185	12	eight	eight	NUM
bracis-33563	185	13	synthetic	synthetic	ADJ
bracis-33563	185	14	datasets	dataset	NOUN
bracis-33563	185	15	with	with	ADP
bracis-33563	185	16	gradual	gradual	ADJ
bracis-33563	185	17	concept	concept	NOUN
bracis-33563	185	18	drift	drift	NOUN
bracis-33563	185	19	full	full	ADJ
bracis-33563	185	20	size	size	NOUN
bracis-33563	185	21	image	image	NOUN
bracis-33563	185	22	figure	figure	NOUN
bracis-33563	185	23	 	 	SPACE
bracis-33563	185	24	1	1	NUM
bracis-33563	185	25	shows	show	VERB
bracis-33563	185	26	the	the	DET
bracis-33563	185	27	f1	f1	NOUN
bracis-33563	185	28	-	-	PUNCT
bracis-33563	185	29	score	score	NOUN
bracis-33563	185	30	achieved	achieve	VERB
bracis-33563	185	31	by	by	ADP
bracis-33563	185	32	each	each	DET
bracis-33563	185	33	algorithm	algorithm	NOUN
bracis-33563	185	34	under	under	ADP
bracis-33563	185	35	different	different	ADJ
bracis-33563	185	36	imbalance	imbalance	NOUN
bracis-33563	185	37	ratios	ratio	NOUN
bracis-33563	185	38	.	.	PUNCT
bracis-33563	186	1	the	the	DET
bracis-33563	186	2	results	result	NOUN
bracis-33563	186	3	of	of	ADP
bracis-33563	186	4	kappa	kappa	NOUN
bracis-33563	186	5	were	be	AUX
bracis-33563	186	6	also	also	ADV
bracis-33563	186	7	plotted	plot	VERB
bracis-33563	186	8	but	but	CCONJ
bracis-33563	186	9	are	be	AUX
bracis-33563	186	10	not	not	PART
bracis-33563	186	11	shown	show	VERB
bracis-33563	186	12	here	here	ADV
bracis-33563	186	13	.	.	PUNCT
bracis-33563	187	1	we	we	PRON
bracis-33563	187	2	can	can	AUX
bracis-33563	187	3	see	see	VERB
bracis-33563	187	4	that	that	SCONJ
bracis-33563	187	5	in	in	ADP
bracis-33563	187	6	several	several	ADJ
bracis-33563	187	7	data	datum	NOUN
bracis-33563	187	8	streams	stream	NOUN
bracis-33563	187	9	,	,	PUNCT
bracis-33563	187	10	the	the	DET
bracis-33563	187	11	algorithms	algorithms	NOUN
bracis-33563	187	12	exhibit	exhibit	VERB
bracis-33563	187	13	somewhat	somewhat	ADV
bracis-33563	187	14	similar	similar	ADJ
bracis-33563	187	15	behavior	behavior	NOUN
bracis-33563	187	16	.	.	PUNCT
bracis-33563	188	1	however	however	ADV
bracis-33563	188	2	,	,	PUNCT
bracis-33563	188	3	uob	uob	PROPN
bracis-33563	188	4	and	and	CCONJ
bracis-33563	188	5	csarf	csarf	NOUN
bracis-33563	188	6	tend	tend	VERB
bracis-33563	188	7	to	to	PART
bracis-33563	188	8	diverge	diverge	VERB
bracis-33563	188	9	more	more	ADJ
bracis-33563	188	10	from	from	ADP
bracis-33563	188	11	the	the	DET
bracis-33563	188	12	other	other	ADJ
bracis-33563	188	13	algorithms	algorithm	NOUN
bracis-33563	188	14	as	as	ADP
bracis-33563	188	15	the	the	DET
bracis-33563	188	16	imbalance	imbalance	NOUN
bracis-33563	188	17	increases	increase	NOUN
bracis-33563	188	18	.	.	PUNCT
bracis-33563	189	1	this	this	PRON
bracis-33563	189	2	might	might	AUX
bracis-33563	189	3	suggest	suggest	VERB
bracis-33563	189	4	that	that	SCONJ
bracis-33563	189	5	,	,	PUNCT
bracis-33563	189	6	even	even	ADV
bracis-33563	189	7	though	though	SCONJ
bracis-33563	189	8	both	both	DET
bracis-33563	189	9	algorithms	algorithm	NOUN
bracis-33563	189	10	are	be	AUX
bracis-33563	189	11	designed	design	VERB
bracis-33563	189	12	to	to	PART
bracis-33563	189	13	handle	handle	VERB
bracis-33563	189	14	imbalanced	imbalanced	ADJ
bracis-33563	189	15	classes	class	NOUN
bracis-33563	189	16	and	and	CCONJ
bracis-33563	189	17	perform	perform	VERB
bracis-33563	189	18	reasonably	reasonably	ADV
bracis-33563	189	19	well	well	ADV
bracis-33563	189	20	in	in	ADP
bracis-33563	189	21	that	that	DET
bracis-33563	189	22	scope	scope	NOUN
bracis-33563	189	23	,	,	PUNCT
bracis-33563	189	24	they	they	PRON
bracis-33563	189	25	are	be	AUX
bracis-33563	189	26	more	more	ADV
bracis-33563	189	27	sensitive	sensitive	ADJ
bracis-33563	189	28	to	to	ADP
bracis-33563	189	29	highly	highly	ADV
bracis-33563	189	30	imbalanced	imbalanced	ADJ
bracis-33563	189	31	data	datum	NOUN
bracis-33563	189	32	contexts	context	NOUN
bracis-33563	189	33	,	,	PUNCT
bracis-33563	189	34	such	such	ADJ
bracis-33563	189	35	as	as	ADP
bracis-33563	189	36	ratios	ratio	NOUN
bracis-33563	189	37	of	of	ADP
bracis-33563	189	38	97.5:2.5	97.5:2.5	NUM
bracis-33563	189	39	or	or	CCONJ
bracis-33563	189	40	higher	high	ADJ
bracis-33563	189	41	.	.	PUNCT
bracis-33563	190	1	this	this	DET
bracis-33563	190	2	behavior	behavior	NOUN
bracis-33563	190	3	is	be	AUX
bracis-33563	190	4	observed	observe	VERB
bracis-33563	190	5	for	for	ADP
bracis-33563	190	6	both	both	CCONJ
bracis-33563	190	7	kappa	kappa	ADJ
bracis-33563	190	8	and	and	CCONJ
bracis-33563	190	9	f1	f1	NOUN
bracis-33563	190	10	-	-	PUNCT
bracis-33563	190	11	score	score	NOUN
bracis-33563	190	12	.	.	PUNCT
bracis-33563	191	1	in	in	ADP
bracis-33563	191	2	the	the	DET
bracis-33563	191	3	case	case	NOUN
bracis-33563	191	4	of	of	ADP
bracis-33563	191	5	uob	uob	NOUN
bracis-33563	191	6	,	,	PUNCT
bracis-33563	191	7	which	which	PRON
bracis-33563	191	8	employs	employ	VERB
bracis-33563	191	9	undersampling	undersample	VERB
bracis-33563	191	10	,	,	PUNCT
bracis-33563	191	11	the	the	DET
bracis-33563	191	12	reduced	reduce	VERB
bracis-33563	191	13	performance	performance	NOUN
bracis-33563	191	14	can	can	AUX
bracis-33563	191	15	be	be	AUX
bracis-33563	191	16	attributed	attribute	VERB
bracis-33563	191	17	to	to	ADP
bracis-33563	191	18	its	its	PRON
bracis-33563	191	19	aggressive	aggressive	ADJ
bracis-33563	191	20	discarding	discarding	NOUN
bracis-33563	191	21	of	of	ADP
bracis-33563	191	22	instances	instance	NOUN
bracis-33563	191	23	from	from	ADP
bracis-33563	191	24	the	the	DET
bracis-33563	191	25	majority	majority	NOUN
bracis-33563	191	26	class	class	NOUN
bracis-33563	191	27	at	at	ADP
bracis-33563	191	28	high	high	ADJ
bracis-33563	191	29	imbalance	imbalance	NOUN
bracis-33563	191	30	ratios	ratio	NOUN
bracis-33563	191	31	,	,	PUNCT
bracis-33563	191	32	thereby	thereby	ADV
bracis-33563	191	33	losing	lose	VERB
bracis-33563	191	34	valuable	valuable	ADJ
bracis-33563	191	35	information	information	NOUN
bracis-33563	191	36	beneficial	beneficial	ADJ
bracis-33563	191	37	for	for	ADP
bracis-33563	191	38	learning	learn	VERB
bracis-33563	191	39	.	.	PUNCT
bracis-33563	192	1	sudden	sudden	ADJ
bracis-33563	192	2	concept	concept	NOUN
bracis-33563	192	3	drift	drift	NOUN
bracis-33563	192	4	.	.	PUNCT
bracis-33563	193	1	table	table	NOUN
bracis-33563	193	2	 	 	SPACE
bracis-33563	193	3	2	2	NUM
bracis-33563	193	4	shows	show	VERB
bracis-33563	193	5	the	the	DET
bracis-33563	193	6	compilation	compilation	NOUN
bracis-33563	193	7	of	of	ADP
bracis-33563	193	8	results	result	NOUN
bracis-33563	193	9	measured	measure	VERB
bracis-33563	193	10	by	by	ADP
bracis-33563	193	11	f1	f1	NOUN
bracis-33563	193	12	-	-	PUNCT
bracis-33563	193	13	score	score	NOUN
bracis-33563	193	14	and	and	CCONJ
bracis-33563	193	15	kappa	kappa	ADJ
bracis-33563	193	16	,	,	PUNCT
bracis-33563	193	17	respectively	respectively	ADV
bracis-33563	193	18	,	,	PUNCT
bracis-33563	193	19	for	for	ADP
bracis-33563	193	20	the	the	DET
bracis-33563	193	21	experiments	experiment	NOUN
bracis-33563	193	22	over	over	ADP
bracis-33563	193	23	the	the	DET
bracis-33563	193	24	imbalanced	imbalanced	ADJ
bracis-33563	193	25	data	data	NOUN
bracis-33563	193	26	streams	stream	NOUN
bracis-33563	193	27	with	with	ADP
bracis-33563	193	28	sudden	sudden	ADJ
bracis-33563	193	29	concept	concept	NOUN
bracis-33563	193	30	drift	drift	NOUN
bracis-33563	193	31	.	.	PUNCT
bracis-33563	194	1	the	the	DET
bracis-33563	194	2	best	good	ADJ
bracis-33563	194	3	algorithm	algorithm	NOUN
bracis-33563	194	4	in	in	ADP
bracis-33563	194	5	terms	term	NOUN
bracis-33563	194	6	of	of	ADP
bracis-33563	194	7	f1	f1	NOUN
bracis-33563	194	8	-	-	PUNCT
bracis-33563	194	9	score	score	NOUN
bracis-33563	194	10	was	be	AUX
bracis-33563	194	11	calmid	calmid	ADJ
bracis-33563	194	12	,	,	PUNCT
bracis-33563	194	13	which	which	PRON
bracis-33563	194	14	achieved	achieve	VERB
bracis-33563	194	15	the	the	DET
bracis-33563	194	16	‘	'	PUNCT
bracis-33563	194	17	total	total	ADJ
bracis-33563	194	18	best	good	ADJ
bracis-33563	194	19	’	'	PUNCT
bracis-33563	194	20	in	in	ADP
bracis-33563	194	21	16	16	NUM
bracis-33563	194	22	experiments	experiment	NOUN
bracis-33563	194	23	.	.	PUNCT
bracis-33563	195	1	in	in	ADP
bracis-33563	195	2	terms	term	NOUN
bracis-33563	195	3	of	of	ADP
bracis-33563	195	4	kappa	kappa	PROPN
bracis-33563	195	5	,	,	PUNCT
bracis-33563	195	6	the	the	DET
bracis-33563	195	7	top	top	ADJ
bracis-33563	195	8	spot	spot	NOUN
bracis-33563	195	9	went	go	VERB
bracis-33563	195	10	to	to	PART
bracis-33563	195	11	rose	rose	VERB
bracis-33563	195	12	,	,	PUNCT
bracis-33563	195	13	also	also	ADV
bracis-33563	195	14	with	with	ADP
bracis-33563	195	15	a	a	DET
bracis-33563	195	16	‘	'	PUNCT
bracis-33563	195	17	total	total	ADJ
bracis-33563	195	18	best	good	ADJ
bracis-33563	195	19	’	'	PUNCT
bracis-33563	195	20	value	value	NOUN
bracis-33563	195	21	of	of	ADP
bracis-33563	195	22	16	16	NUM
bracis-33563	195	23	experiments	experiment	NOUN
bracis-33563	195	24	.	.	PUNCT
bracis-33563	196	1	both	both	DET
bracis-33563	196	2	algorithms	algorithm	NOUN
bracis-33563	196	3	,	,	PUNCT
bracis-33563	196	4	calmid	calmid	ADJ
bracis-33563	196	5	and	and	CCONJ
bracis-33563	196	6	rose	rise	VERB
bracis-33563	196	7	,	,	PUNCT
bracis-33563	196	8	implement	implement	VERB
bracis-33563	196	9	explicit	explicit	ADJ
bracis-33563	196	10	techniques	technique	NOUN
bracis-33563	196	11	to	to	PART
bracis-33563	196	12	handle	handle	VERB
bracis-33563	196	13	concept	concept	NOUN
bracis-33563	196	14	drift	drift	NOUN
bracis-33563	196	15	.	.	PUNCT
bracis-33563	197	1	these	these	DET
bracis-33563	197	2	performances	performance	NOUN
bracis-33563	197	3	highlight	highlight	VERB
bracis-33563	197	4	that	that	SCONJ
bracis-33563	197	5	,	,	PUNCT
bracis-33563	197	6	in	in	ADP
bracis-33563	197	7	the	the	DET
bracis-33563	197	8	specific	specific	ADJ
bracis-33563	197	9	scenario	scenario	NOUN
bracis-33563	197	10	of	of	ADP
bracis-33563	197	11	sudden	sudden	ADJ
bracis-33563	197	12	concept	concept	NOUN
bracis-33563	197	13	drift	drift	NOUN
bracis-33563	197	14	,	,	PUNCT
bracis-33563	197	15	the	the	DET
bracis-33563	197	16	presence	presence	NOUN
bracis-33563	197	17	of	of	ADP
bracis-33563	197	18	dedicated	dedicated	ADJ
bracis-33563	197	19	mechanisms	mechanism	NOUN
bracis-33563	197	20	for	for	ADP
bracis-33563	197	21	detecting	detect	VERB
bracis-33563	197	22	concept	concept	NOUN
bracis-33563	197	23	drifts	drift	NOUN
bracis-33563	197	24	makes	make	VERB
bracis-33563	197	25	a	a	DET
bracis-33563	197	26	significant	significant	ADJ
bracis-33563	197	27	difference	difference	NOUN
bracis-33563	197	28	,	,	PUNCT
bracis-33563	197	29	ensuring	ensure	VERB
bracis-33563	197	30	the	the	DET
bracis-33563	197	31	best	good	ADJ
bracis-33563	197	32	performance	performance	NOUN
bracis-33563	197	33	in	in	ADP
bracis-33563	197	34	our	our	PRON
bracis-33563	197	35	experiments	experiment	NOUN
bracis-33563	197	36	.	.	PUNCT
bracis-33563	198	1	this	this	DET
bracis-33563	198	2	distinction	distinction	NOUN
bracis-33563	198	3	was	be	AUX
bracis-33563	198	4	not	not	PART
bracis-33563	198	5	as	as	ADV
bracis-33563	198	6	pronounced	pronounce	VERB
bracis-33563	198	7	in	in	ADP
bracis-33563	198	8	experiments	experiment	NOUN
bracis-33563	198	9	with	with	ADP
bracis-33563	198	10	gradual	gradual	ADJ
bracis-33563	198	11	concept	concept	NOUN
bracis-33563	198	12	drift	drift	NOUN
bracis-33563	198	13	,	,	PUNCT
bracis-33563	198	14	where	where	SCONJ
bracis-33563	198	15	baswe	baswe	NOUN
bracis-33563	198	16	,	,	PUNCT
bracis-33563	198	17	which	which	PRON
bracis-33563	198	18	uses	use	VERB
bracis-33563	198	19	an	an	DET
bracis-33563	198	20	implicit	implicit	ADJ
bracis-33563	198	21	approach	approach	NOUN
bracis-33563	198	22	to	to	PART
bracis-33563	198	23	handle	handle	VERB
bracis-33563	198	24	concept	concept	NOUN
bracis-33563	198	25	drift	drift	NOUN
bracis-33563	198	26	,	,	PUNCT
bracis-33563	198	27	secured	secure	VERB
bracis-33563	198	28	the	the	DET
bracis-33563	198	29	highest	high	ADJ
bracis-33563	198	30	‘	'	PUNCT
bracis-33563	198	31	total	total	ADJ
bracis-33563	198	32	best	good	ADJ
bracis-33563	198	33	’	'	PUNCT
bracis-33563	198	34	values	value	NOUN
bracis-33563	198	35	,	,	PUNCT
bracis-33563	198	36	for	for	ADP
bracis-33563	198	37	both	both	PRON
bracis-33563	198	38	f1	f1	NOUN
bracis-33563	198	39	-	-	PUNCT
bracis-33563	198	40	score	score	NOUN
bracis-33563	198	41	and	and	CCONJ
bracis-33563	198	42	kappa	kappa	ADJ
bracis-33563	198	43	.	.	PUNCT
bracis-33563	198	44	table	table	NOUN
bracis-33563	199	1	2	2	NUM
bracis-33563	199	2	.	.	PUNCT
bracis-33563	199	3	f1	f1	NOUN
bracis-33563	199	4	-	-	PUNCT
bracis-33563	199	5	score	score	NOUN
bracis-33563	199	6	(	(	PUNCT
bracis-33563	199	7	left	left	ADJ
bracis-33563	199	8	)	)	PUNCT
bracis-33563	199	9	and	and	CCONJ
bracis-33563	199	10	kappa	kappa	ADJ
bracis-33563	199	11	(	(	PUNCT
bracis-33563	199	12	right	right	NOUN
bracis-33563	199	13	)	)	PUNCT
bracis-33563	199	14	obtained	obtain	VERB
bracis-33563	199	15	by	by	ADP
bracis-33563	199	16	the	the	DET
bracis-33563	199	17	algorithms	algorithm	NOUN
bracis-33563	199	18	for	for	ADP
bracis-33563	199	19	the	the	DET
bracis-33563	199	20	eight	eight	NUM
bracis-33563	199	21	synthetic	synthetic	ADJ
bracis-33563	199	22	datasets	dataset	NOUN
bracis-33563	199	23	with	with	ADP
bracis-33563	199	24	sudden	sudden	ADJ
bracis-33563	199	25	concept	concept	NOUN
bracis-33563	199	26	driftfull	driftfull	VERB
bracis-33563	199	27	size	size	NOUN
bracis-33563	199	28	table	table	NOUN
bracis-33563	199	29	baswe	baswe	NOUN
bracis-33563	199	30	,	,	PUNCT
bracis-33563	199	31	while	while	SCONJ
bracis-33563	199	32	not	not	PART
bracis-33563	199	33	securing	secure	VERB
bracis-33563	199	34	top	top	ADJ
bracis-33563	199	35	performance	performance	NOUN
bracis-33563	199	36	,	,	PUNCT
bracis-33563	199	37	still	still	ADV
bracis-33563	199	38	showed	show	VERB
bracis-33563	199	39	strong	strong	ADJ
bracis-33563	199	40	results	result	NOUN
bracis-33563	199	41	,	,	PUNCT
bracis-33563	199	42	tied	tie	VERB
bracis-33563	199	43	in	in	ADP
bracis-33563	199	44	the	the	DET
bracis-33563	199	45	second	second	ADV
bracis-33563	199	46	-	-	PUNCT
bracis-33563	199	47	highest	high	ADJ
bracis-33563	199	48	‘	'	PUNCT
bracis-33563	199	49	total	total	ADJ
bracis-33563	199	50	best	good	ADJ
bracis-33563	199	51	’	'	PUNCT
bracis-33563	199	52	value	value	NOUN
bracis-33563	199	53	in	in	ADP
bracis-33563	199	54	f1	f1	NOUN
bracis-33563	199	55	-	-	PUNCT
bracis-33563	199	56	score	score	NOUN
bracis-33563	199	57	(	(	PUNCT
bracis-33563	199	58	11	11	NUM
bracis-33563	199	59	out	out	ADP
bracis-33563	199	60	of	of	ADP
bracis-33563	199	61	40	40	NUM
bracis-33563	199	62	experiments	experiment	NOUN
bracis-33563	199	63	)	)	PUNCT
bracis-33563	199	64	,	,	PUNCT
bracis-33563	199	65	and	and	CCONJ
bracis-33563	199	66	the	the	DET
bracis-33563	199	67	second	second	ADJ
bracis-33563	199	68	in	in	ADP
bracis-33563	199	69	kappa	kappa	PROPN
bracis-33563	199	70	(	(	PUNCT
bracis-33563	199	71	14	14	NUM
bracis-33563	199	72	out	out	ADP
bracis-33563	199	73	of	of	ADP
bracis-33563	199	74	40	40	NUM
bracis-33563	199	75	experiments	experiment	NOUN
bracis-33563	199	76	)	)	PUNCT
bracis-33563	199	77	.	.	PUNCT
bracis-33563	200	1	this	this	PRON
bracis-33563	200	2	suggests	suggest	VERB
bracis-33563	200	3	that	that	SCONJ
bracis-33563	200	4	,	,	PUNCT
bracis-33563	200	5	even	even	ADV
bracis-33563	200	6	with	with	ADP
bracis-33563	200	7	its	its	PRON
bracis-33563	200	8	implicit	implicit	ADJ
bracis-33563	200	9	approach	approach	NOUN
bracis-33563	200	10	to	to	ADP
bracis-33563	200	11	concept	concept	NOUN
bracis-33563	200	12	drift	drift	NOUN
bracis-33563	200	13	,	,	PUNCT
bracis-33563	200	14	baswe	baswe	NOUN
bracis-33563	200	15	exhibited	exhibit	VERB
bracis-33563	200	16	notable	notable	ADJ
bracis-33563	200	17	robustness	robustness	NOUN
bracis-33563	200	18	within	within	ADP
bracis-33563	200	19	this	this	DET
bracis-33563	200	20	data	data	NOUN
bracis-33563	200	21	scope	scope	NOUN
bracis-33563	200	22	.	.	PUNCT
bracis-33563	201	1	plots	plot	NOUN
bracis-33563	201	2	for	for	ADP
bracis-33563	201	3	f1	f1	NOUN
bracis-33563	201	4	-	-	PUNCT
bracis-33563	201	5	score	score	NOUN
bracis-33563	201	6	and	and	CCONJ
bracis-33563	201	7	kappa	kappa	NOUN
bracis-33563	201	8	for	for	ADP
bracis-33563	201	9	different	different	ADJ
bracis-33563	201	10	imbalance	imbalance	NOUN
bracis-33563	201	11	rates	rate	NOUN
bracis-33563	201	12	,	,	PUNCT
bracis-33563	201	13	analogous	analogous	ADJ
bracis-33563	201	14	to	to	ADP
bracis-33563	201	15	those	those	PRON
bracis-33563	201	16	in	in	ADP
bracis-33563	201	17	fig	fig	NOUN
bracis-33563	201	18	.	.	PUNCT
bracis-33563	201	19	 	 	SPACE
bracis-33563	202	1	1	1	NUM
bracis-33563	202	2	,	,	PUNCT
bracis-33563	202	3	were	be	AUX
bracis-33563	202	4	also	also	ADV
bracis-33563	202	5	analyzed	analyze	VERB
bracis-33563	202	6	under	under	ADP
bracis-33563	202	7	the	the	DET
bracis-33563	202	8	sudden	sudden	ADJ
bracis-33563	202	9	concept	concept	NOUN
bracis-33563	202	10	drift	drift	NOUN
bracis-33563	202	11	scenario	scenario	NOUN
bracis-33563	202	12	but	but	CCONJ
bracis-33563	202	13	are	be	AUX
bracis-33563	202	14	not	not	PART
bracis-33563	202	15	shown	show	VERB
bracis-33563	202	16	here	here	ADV
bracis-33563	202	17	.	.	PUNCT
bracis-33563	203	1	it	it	PRON
bracis-33563	203	2	was	be	AUX
bracis-33563	203	3	observed	observe	VERB
bracis-33563	203	4	that	that	SCONJ
bracis-33563	203	5	,	,	PUNCT
bracis-33563	203	6	similar	similar	ADJ
bracis-33563	203	7	to	to	ADP
bracis-33563	203	8	the	the	DET
bracis-33563	203	9	experiments	experiment	NOUN
bracis-33563	203	10	with	with	ADP
bracis-33563	203	11	gradual	gradual	ADJ
bracis-33563	203	12	concept	concept	NOUN
bracis-33563	203	13	drift	drift	NOUN
bracis-33563	203	14	,	,	PUNCT
bracis-33563	203	15	uob	uob	PROPN
bracis-33563	203	16	deteriorates	deteriorate	VERB
bracis-33563	203	17	more	more	ADV
bracis-33563	203	18	quickly	quickly	ADV
bracis-33563	203	19	as	as	SCONJ
bracis-33563	203	20	the	the	DET
bracis-33563	203	21	imbalance	imbalance	NOUN
bracis-33563	203	22	increases	increase	NOUN
bracis-33563	203	23	.	.	PUNCT
bracis-33563	204	1	csarf	csarf	NOUN
bracis-33563	204	2	,	,	PUNCT
bracis-33563	204	3	which	which	PRON
bracis-33563	204	4	previously	previously	ADV
bracis-33563	204	5	showed	show	VERB
bracis-33563	204	6	rapid	rapid	ADJ
bracis-33563	204	7	deterioration	deterioration	NOUN
bracis-33563	204	8	like	like	ADP
bracis-33563	204	9	uob	uob	PROPN
bracis-33563	204	10	in	in	ADP
bracis-33563	204	11	the	the	DET
bracis-33563	204	12	gradual	gradual	ADJ
bracis-33563	204	13	concept	concept	NOUN
bracis-33563	204	14	drift	drift	NOUN
bracis-33563	204	15	experiments	experiment	NOUN
bracis-33563	204	16	,	,	PUNCT
bracis-33563	204	17	demonstrated	demonstrate	VERB
bracis-33563	204	18	more	more	ADJ
bracis-33563	204	19	robustness	robustness	NOUN
bracis-33563	204	20	in	in	ADP
bracis-33563	204	21	the	the	DET
bracis-33563	204	22	experiments	experiment	NOUN
bracis-33563	204	23	with	with	ADP
bracis-33563	204	24	sudden	sudden	ADJ
bracis-33563	204	25	concept	concept	NOUN
bracis-33563	204	26	drift	drift	NOUN
bracis-33563	204	27	.	.	PUNCT
bracis-33563	205	1	this	this	PRON
bracis-33563	205	2	can	can	AUX
bracis-33563	205	3	be	be	AUX
bracis-33563	205	4	attributed	attribute	VERB
bracis-33563	205	5	to	to	ADP
bracis-33563	205	6	mechanisms	mechanism	NOUN
bracis-33563	205	7	designed	design	VERB
bracis-33563	205	8	to	to	PART
bracis-33563	205	9	explicitly	explicitly	ADV
bracis-33563	205	10	handle	handle	VERB
bracis-33563	205	11	the	the	DET
bracis-33563	205	12	occurrence	occurrence	NOUN
bracis-33563	205	13	of	of	ADP
bracis-33563	205	14	concept	concept	NOUN
bracis-33563	205	15	drift	drift	NOUN
bracis-33563	205	16	.	.	PUNCT
bracis-33563	206	1	4.7	4.7	NUM
bracis-33563	206	2	real	real	ADJ
bracis-33563	206	3	datasets	dataset	NOUN
bracis-33563	206	4	in	in	ADP
bracis-33563	206	5	this	this	DET
bracis-33563	206	6	section	section	NOUN
bracis-33563	206	7	,	,	PUNCT
bracis-33563	206	8	we	we	PRON
bracis-33563	206	9	discuss	discuss	VERB
bracis-33563	206	10	the	the	DET
bracis-33563	206	11	results	result	NOUN
bracis-33563	206	12	from	from	ADP
bracis-33563	206	13	16	16	NUM
bracis-33563	206	14	experiments	experiment	NOUN
bracis-33563	206	15	on	on	ADP
bracis-33563	206	16	real	real	ADJ
bracis-33563	206	17	data	datum	NOUN
bracis-33563	206	18	streams	stream	NOUN
bracis-33563	206	19	,	,	PUNCT
bracis-33563	206	20	some	some	PRON
bracis-33563	206	21	of	of	ADP
bracis-33563	206	22	which	which	PRON
bracis-33563	206	23	exhibit	exhibit	VERB
bracis-33563	206	24	concept	concept	NOUN
bracis-33563	206	25	drifts	drift	NOUN
bracis-33563	206	26	and	and	CCONJ
bracis-33563	206	27	feature	feature	VERB
bracis-33563	206	28	various	various	ADJ
bracis-33563	206	29	imbalance	imbalance	NOUN
bracis-33563	206	30	ratios	ratio	NOUN
bracis-33563	206	31	.	.	PUNCT
bracis-33563	207	1	unlike	unlike	ADP
bracis-33563	207	2	synthetic	synthetic	ADJ
bracis-33563	207	3	data	datum	NOUN
bracis-33563	207	4	streams	stream	NOUN
bracis-33563	207	5	,	,	PUNCT
bracis-33563	207	6	which	which	PRON
bracis-33563	207	7	are	be	AUX
bracis-33563	207	8	generated	generate	VERB
bracis-33563	207	9	based	base	VERB
bracis-33563	207	10	on	on	ADP
bracis-33563	207	11	specific	specific	ADJ
bracis-33563	207	12	probability	probability	NOUN
bracis-33563	207	13	distributions	distribution	NOUN
bracis-33563	207	14	and	and	CCONJ
bracis-33563	207	15	are	be	AUX
bracis-33563	207	16	thus	thus	ADV
bracis-33563	207	17	well	well	ADV
bracis-33563	207	18	-	-	PUNCT
bracis-33563	207	19	behaved	behave	VERB
bracis-33563	207	20	,	,	PUNCT
bracis-33563	207	21	real	real	ADJ
bracis-33563	207	22	data	datum	NOUN
bracis-33563	207	23	streams	stream	NOUN
bracis-33563	207	24	might	might	AUX
bracis-33563	207	25	not	not	PART
bracis-33563	207	26	follow	follow	VERB
bracis-33563	207	27	these	these	DET
bracis-33563	207	28	distributions	distribution	NOUN
bracis-33563	207	29	.	.	PUNCT
bracis-33563	208	1	this	this	PRON
bracis-33563	208	2	can	can	AUX
bracis-33563	208	3	introduce	introduce	VERB
bracis-33563	208	4	unique	unique	ADJ
bracis-33563	208	5	challenges	challenge	NOUN
bracis-33563	208	6	,	,	PUNCT
bracis-33563	208	7	such	such	ADJ
bracis-33563	208	8	as	as	ADP
bracis-33563	208	9	data	datum	NOUN
bracis-33563	208	10	chunks	chunk	NOUN
bracis-33563	208	11	that	that	PRON
bracis-33563	208	12	contain	contain	VERB
bracis-33563	208	13	instances	instance	NOUN
bracis-33563	208	14	of	of	ADP
bracis-33563	208	15	only	only	ADV
bracis-33563	208	16	one	one	NUM
bracis-33563	208	17	class	class	NOUN
bracis-33563	208	18	.	.	PUNCT
bracis-33563	208	19	table	table	NOUN
bracis-33563	209	1	3	3	NUM
bracis-33563	209	2	.	.	PUNCT
bracis-33563	209	3	f1	f1	NOUN
bracis-33563	209	4	-	-	PUNCT
bracis-33563	209	5	score	score	NOUN
bracis-33563	209	6	(	(	PUNCT
bracis-33563	209	7	left	left	ADJ
bracis-33563	209	8	)	)	PUNCT
bracis-33563	209	9	and	and	CCONJ
bracis-33563	209	10	kappa	kappa	ADJ
bracis-33563	209	11	(	(	PUNCT
bracis-33563	209	12	right	right	NOUN
bracis-33563	209	13	)	)	PUNCT
bracis-33563	209	14	obtained	obtain	VERB
bracis-33563	209	15	by	by	ADP
bracis-33563	209	16	the	the	DET
bracis-33563	209	17	algorithms	algorithm	NOUN
bracis-33563	209	18	for	for	ADP
bracis-33563	209	19	the	the	DET
bracis-33563	209	20	sixteen	sixteen	NUM
bracis-33563	209	21	real	real	ADJ
bracis-33563	209	22	datasetsfull	datasetsfull	NOUN
bracis-33563	209	23	size	size	NOUN
bracis-33563	209	24	table	table	NOUN
bracis-33563	209	25	table	table	NOUN
bracis-33563	209	26	 	 	SPACE
bracis-33563	209	27	3	3	NUM
bracis-33563	209	28	shows	show	VERB
bracis-33563	209	29	the	the	DET
bracis-33563	209	30	f1	f1	NOUN
bracis-33563	209	31	-	-	PUNCT
bracis-33563	209	32	score	score	NOUN
bracis-33563	209	33	and	and	CCONJ
bracis-33563	209	34	kappa	kappa	NOUN
bracis-33563	209	35	achieved	achieve	VERB
bracis-33563	209	36	by	by	ADP
bracis-33563	209	37	the	the	DET
bracis-33563	209	38	algorithms	algorithm	NOUN
bracis-33563	209	39	compared	compare	VERB
bracis-33563	209	40	across	across	ADP
bracis-33563	209	41	all	all	DET
bracis-33563	209	42	real	real	ADJ
bracis-33563	209	43	datasets	dataset	NOUN
bracis-33563	209	44	.	.	PUNCT
bracis-33563	210	1	baswe	baswe	NOUN
bracis-33563	210	2	consistently	consistently	ADV
bracis-33563	210	3	delivered	deliver	VERB
bracis-33563	210	4	the	the	DET
bracis-33563	210	5	highest	high	ADJ
bracis-33563	210	6	total	total	ADJ
bracis-33563	210	7	best	good	ADJ
bracis-33563	210	8	value	value	NOUN
bracis-33563	210	9	of	of	ADP
bracis-33563	210	10	f1	f1	NOUN
bracis-33563	210	11	-	-	PUNCT
bracis-33563	210	12	score	score	NOUN
bracis-33563	210	13	,	,	PUNCT
bracis-33563	210	14	achieving	achieve	VERB
bracis-33563	210	15	this	this	PRON
bracis-33563	210	16	in	in	ADP
bracis-33563	210	17	8	8	NUM
bracis-33563	210	18	of	of	ADP
bracis-33563	210	19	the	the	DET
bracis-33563	210	20	16	16	NUM
bracis-33563	210	21	real	real	ADJ
bracis-33563	210	22	datasets	dataset	NOUN
bracis-33563	210	23	.	.	PUNCT
bracis-33563	211	1	in	in	ADP
bracis-33563	211	2	terms	term	NOUN
bracis-33563	211	3	of	of	ADP
bracis-33563	211	4	kappa	kappa	ADJ
bracis-33563	211	5	,	,	PUNCT
bracis-33563	211	6	there	there	PRON
bracis-33563	211	7	was	be	VERB
bracis-33563	211	8	a	a	DET
bracis-33563	211	9	tie	tie	NOUN
bracis-33563	211	10	among	among	ADP
bracis-33563	211	11	csarf	csarf	NOUN
bracis-33563	211	12	,	,	PUNCT
bracis-33563	211	13	rose	rise	VERB
bracis-33563	211	14	,	,	PUNCT
bracis-33563	211	15	and	and	CCONJ
bracis-33563	211	16	baswe	baswe	NOUN
bracis-33563	211	17	algorithms	algorithm	NOUN
bracis-33563	211	18	,	,	PUNCT
bracis-33563	211	19	that	that	PRON
bracis-33563	211	20	have	have	VERB
bracis-33563	211	21	total	total	ADJ
bracis-33563	211	22	best	good	ADJ
bracis-33563	211	23	value	value	NOUN
bracis-33563	211	24	equal	equal	ADJ
bracis-33563	211	25	to	to	ADP
bracis-33563	211	26	5	5	NUM
bracis-33563	211	27	experiments	experiment	NOUN
bracis-33563	211	28	each	each	PRON
bracis-33563	211	29	.	.	PUNCT
bracis-33563	212	1	just	just	ADV
bracis-33563	212	2	as	as	SCONJ
bracis-33563	212	3	observed	observe	VERB
bracis-33563	212	4	in	in	ADP
bracis-33563	212	5	experiments	experiment	NOUN
bracis-33563	212	6	with	with	ADP
bracis-33563	212	7	synthetic	synthetic	ADJ
bracis-33563	212	8	data	datum	NOUN
bracis-33563	212	9	streams	stream	NOUN
bracis-33563	212	10	,	,	PUNCT
bracis-33563	212	11	smote	smote	VERB
bracis-33563	212	12	-	-	PUNCT
bracis-33563	212	13	ob	ob	NOUN
bracis-33563	212	14	exhibited	exhibit	VERB
bracis-33563	212	15	a	a	DET
bracis-33563	212	16	high	high	ADJ
bracis-33563	212	17	computational	computational	ADJ
bracis-33563	212	18	cost	cost	NOUN
bracis-33563	212	19	and	and	CCONJ
bracis-33563	212	20	was	be	AUX
bracis-33563	212	21	unable	unable	ADJ
bracis-33563	212	22	to	to	PART
bracis-33563	212	23	complete	complete	VERB
bracis-33563	212	24	the	the	DET
bracis-33563	212	25	execution	execution	NOUN
bracis-33563	212	26	of	of	ADP
bracis-33563	212	27	experiments	experiment	NOUN
bracis-33563	212	28	within	within	ADP
bracis-33563	212	29	the	the	DET
bracis-33563	212	30	60	60	NUM
bracis-33563	212	31	-	-	PUNCT
bracis-33563	212	32	minute	minute	NOUN
bracis-33563	212	33	time	time	NOUN
bracis-33563	212	34	constraint	constraint	NOUN
bracis-33563	212	35	for	for	ADP
bracis-33563	212	36	5	5	NUM
bracis-33563	212	37	of	of	ADP
bracis-33563	212	38	the	the	DET
bracis-33563	212	39	16	16	NUM
bracis-33563	212	40	data	data	NOUN
bracis-33563	212	41	sets	set	NOUN
bracis-33563	212	42	.	.	PUNCT
bracis-33563	213	1	table	table	NOUN
bracis-33563	213	2	4	4	NUM
bracis-33563	213	3	.	.	PUNCT
bracis-33563	214	1	‘	'	PUNCT
bracis-33563	214	2	total	total	ADJ
bracis-33563	214	3	best	good	ADJ
bracis-33563	214	4	’	'	PUNCT
bracis-33563	214	5	of	of	ADP
bracis-33563	214	6	f1	f1	NOUN
bracis-33563	214	7	-	-	PUNCT
bracis-33563	214	8	score	score	NOUN
bracis-33563	214	9	for	for	ADP
bracis-33563	214	10	total	total	ADJ
bracis-33563	214	11	experimentsfull	experimentsfull	ADJ
bracis-33563	214	12	size	size	NOUN
bracis-33563	214	13	table	table	NOUN
bracis-33563	214	14	table	table	NOUN
bracis-33563	214	15	5	5	NUM
bracis-33563	214	16	.	.	PUNCT
bracis-33563	215	1	‘	'	PUNCT
bracis-33563	215	2	total	total	ADJ
bracis-33563	215	3	best	good	ADJ
bracis-33563	215	4	’	'	PUNCT
bracis-33563	215	5	of	of	ADP
bracis-33563	215	6	kappa	kappa	NOUN
bracis-33563	215	7	for	for	ADP
bracis-33563	215	8	total	total	ADJ
bracis-33563	215	9	experimentsfull	experimentsfull	ADJ
bracis-33563	215	10	size	size	NOUN
bracis-33563	215	11	table	table	NOUN
bracis-33563	215	12	4.8	4.8	NUM
bracis-33563	215	13	discussion	discussion	NOUN
bracis-33563	215	14	tables	table	NOUN
bracis-33563	215	15	 	 	SPACE
bracis-33563	215	16	4	4	NUM
bracis-33563	215	17	and	and	CCONJ
bracis-33563	215	18	5	5	NUM
bracis-33563	215	19	present	present	VERB
bracis-33563	215	20	the	the	DET
bracis-33563	215	21	overall	overall	ADJ
bracis-33563	215	22	performance	performance	NOUN
bracis-33563	215	23	of	of	ADP
bracis-33563	215	24	the	the	DET
bracis-33563	215	25	algorithms	algorithm	NOUN
bracis-33563	215	26	measured	measure	VERB
bracis-33563	215	27	by	by	ADP
bracis-33563	215	28	f1	f1	NOUN
bracis-33563	215	29	-	-	PUNCT
bracis-33563	215	30	score	score	NOUN
bracis-33563	215	31	and	and	CCONJ
bracis-33563	215	32	kappa	kappa	ADJ
bracis-33563	215	33	,	,	PUNCT
bracis-33563	215	34	respectively	respectively	ADV
bracis-33563	215	35	.	.	PUNCT
bracis-33563	216	1	experimental	experimental	ADJ
bracis-33563	216	2	results	result	NOUN
bracis-33563	216	3	suggest	suggest	VERB
bracis-33563	216	4	that	that	SCONJ
bracis-33563	216	5	the	the	DET
bracis-33563	216	6	baswe	baswe	NOUN
bracis-33563	216	7	is	be	AUX
bracis-33563	216	8	a	a	DET
bracis-33563	216	9	promising	promising	ADJ
bracis-33563	216	10	choice	choice	NOUN
bracis-33563	216	11	for	for	ADP
bracis-33563	216	12	binary	binary	ADJ
bracis-33563	216	13	classification	classification	NOUN
bracis-33563	216	14	tasks	task	NOUN
bracis-33563	216	15	involving	involve	VERB
bracis-33563	216	16	class	class	NOUN
bracis-33563	216	17	imbalance	imbalance	NOUN
bracis-33563	216	18	with	with	ADP
bracis-33563	216	19	and	and	CCONJ
bracis-33563	216	20	without	without	ADP
bracis-33563	216	21	concept	concept	NOUN
bracis-33563	216	22	drift	drift	NOUN
bracis-33563	216	23	.	.	PUNCT
bracis-33563	217	1	baswe	baswe	NOUN
bracis-33563	217	2	achieved	achieve	VERB
bracis-33563	217	3	superior	superior	ADJ
bracis-33563	217	4	results	result	NOUN
bracis-33563	217	5	when	when	SCONJ
bracis-33563	217	6	measured	measure	VERB
bracis-33563	217	7	by	by	ADP
bracis-33563	217	8	f1	f1	NOUN
bracis-33563	217	9	-	-	PUNCT
bracis-33563	217	10	score	score	NOUN
bracis-33563	217	11	,	,	PUNCT
bracis-33563	217	12	achieving	achieve	VERB
bracis-33563	217	13	the	the	DET
bracis-33563	217	14	best	good	ADJ
bracis-33563	217	15	performance	performance	NOUN
bracis-33563	217	16	or	or	CCONJ
bracis-33563	217	17	equivalent	equivalent	ADJ
bracis-33563	217	18	to	to	ADP
bracis-33563	217	19	the	the	DET
bracis-33563	217	20	best	good	ADJ
bracis-33563	217	21	in	in	ADP
bracis-33563	217	22	48	48	NUM
bracis-33563	217	23	out	out	ADP
bracis-33563	217	24	of	of	ADP
bracis-33563	217	25	136	136	NUM
bracis-33563	217	26	general	general	ADJ
bracis-33563	217	27	experiments	experiment	NOUN
bracis-33563	217	28	:	:	PUNCT
bracis-33563	217	29	15	15	NUM
bracis-33563	217	30	out	out	ADP
bracis-33563	217	31	of	of	ADP
bracis-33563	217	32	40	40	NUM
bracis-33563	217	33	in	in	ADP
bracis-33563	217	34	imbalanced	imbalanced	ADJ
bracis-33563	217	35	data	datum	NOUN
bracis-33563	217	36	streams	stream	NOUN
bracis-33563	217	37	without	without	ADP
bracis-33563	217	38	concept	concept	NOUN
bracis-33563	217	39	drift	drift	NOUN
bracis-33563	217	40	,	,	PUNCT
bracis-33563	217	41	14	14	NUM
bracis-33563	217	42	out	out	ADP
bracis-33563	217	43	of	of	ADP
bracis-33563	217	44	40	40	NUM
bracis-33563	217	45	for	for	ADP
bracis-33563	217	46	the	the	DET
bracis-33563	217	47	set	set	NOUN
bracis-33563	217	48	with	with	ADP
bracis-33563	217	49	gradual	gradual	ADJ
bracis-33563	217	50	concept	concept	NOUN
bracis-33563	217	51	drift	drift	NOUN
bracis-33563	217	52	,	,	PUNCT
bracis-33563	217	53	11	11	NUM
bracis-33563	217	54	out	out	ADP
bracis-33563	217	55	of	of	ADP
bracis-33563	217	56	40	40	NUM
bracis-33563	217	57	for	for	ADP
bracis-33563	217	58	the	the	DET
bracis-33563	217	59	set	set	NOUN
bracis-33563	217	60	with	with	ADP
bracis-33563	217	61	sudden	sudden	ADJ
bracis-33563	217	62	concept	concept	NOUN
bracis-33563	217	63	drift	drift	NOUN
bracis-33563	217	64	,	,	PUNCT
bracis-33563	217	65	and	and	CCONJ
bracis-33563	217	66	8	8	NUM
bracis-33563	217	67	out	out	ADP
bracis-33563	217	68	of	of	ADP
bracis-33563	217	69	16	16	NUM
bracis-33563	217	70	for	for	ADP
bracis-33563	217	71	the	the	DET
bracis-33563	217	72	real	real	ADJ
bracis-33563	217	73	datasets	dataset	NOUN
bracis-33563	217	74	.	.	PUNCT
bracis-33563	218	1	similarly	similarly	ADV
bracis-33563	218	2	,	,	PUNCT
bracis-33563	218	3	it	it	PRON
bracis-33563	218	4	attained	attain	VERB
bracis-33563	218	5	superior	superior	ADJ
bracis-33563	218	6	results	result	NOUN
bracis-33563	218	7	when	when	SCONJ
bracis-33563	218	8	measured	measure	VERB
bracis-33563	218	9	by	by	ADP
bracis-33563	218	10	the	the	DET
bracis-33563	218	11	kappa	kappa	PROPN
bracis-33563	218	12	statistic	statistic	PROPN
bracis-33563	218	13	,	,	PUNCT
bracis-33563	218	14	achieving	achieve	VERB
bracis-33563	218	15	the	the	DET
bracis-33563	218	16	best	good	ADJ
bracis-33563	218	17	performance	performance	NOUN
bracis-33563	218	18	or	or	CCONJ
bracis-33563	218	19	equivalent	equivalent	ADJ
bracis-33563	218	20	to	to	ADP
bracis-33563	218	21	the	the	DET
bracis-33563	218	22	best	good	ADJ
bracis-33563	218	23	in	in	ADP
bracis-33563	218	24	58	58	NUM
bracis-33563	218	25	out	out	ADP
bracis-33563	218	26	of	of	ADP
bracis-33563	218	27	136	136	NUM
bracis-33563	218	28	general	general	ADJ
bracis-33563	218	29	experiments	experiment	NOUN
bracis-33563	218	30	:	:	PUNCT
bracis-33563	218	31	20	20	NUM
bracis-33563	218	32	out	out	ADP
bracis-33563	218	33	of	of	ADP
bracis-33563	218	34	40	40	NUM
bracis-33563	218	35	in	in	ADP
bracis-33563	218	36	imbalanced	imbalanced	ADJ
bracis-33563	218	37	data	datum	NOUN
bracis-33563	218	38	streams	stream	NOUN
bracis-33563	218	39	without	without	ADP
bracis-33563	218	40	concept	concept	NOUN
bracis-33563	218	41	drift	drift	NOUN
bracis-33563	218	42	,	,	PUNCT
bracis-33563	218	43	19	19	NUM
bracis-33563	218	44	out	out	ADP
bracis-33563	218	45	of	of	ADP
bracis-33563	218	46	40	40	NUM
bracis-33563	218	47	for	for	ADP
bracis-33563	218	48	the	the	DET
bracis-33563	218	49	set	set	NOUN
bracis-33563	218	50	with	with	ADP
bracis-33563	218	51	gradual	gradual	ADJ
bracis-33563	218	52	concept	concept	NOUN
bracis-33563	218	53	drift	drift	NOUN
bracis-33563	218	54	,	,	PUNCT
bracis-33563	218	55	14	14	NUM
bracis-33563	218	56	out	out	ADP
bracis-33563	218	57	of	of	ADP
bracis-33563	218	58	40	40	NUM
bracis-33563	218	59	for	for	ADP
bracis-33563	218	60	the	the	DET
bracis-33563	218	61	set	set	NOUN
bracis-33563	218	62	with	with	ADP
bracis-33563	218	63	sudden	sudden	ADJ
bracis-33563	218	64	concept	concept	NOUN
bracis-33563	218	65	drift	drift	NOUN
bracis-33563	218	66	,	,	PUNCT
bracis-33563	218	67	and	and	CCONJ
bracis-33563	218	68	5	5	NUM
bracis-33563	218	69	out	out	ADP
bracis-33563	218	70	of	of	ADP
bracis-33563	218	71	16	16	NUM
bracis-33563	218	72	for	for	ADP
bracis-33563	218	73	the	the	DET
bracis-33563	218	74	real	real	ADJ
bracis-33563	218	75	datasets	dataset	NOUN
bracis-33563	218	76	.	.	PUNCT
bracis-33563	219	1	the	the	DET
bracis-33563	219	2	experimental	experimental	ADJ
bracis-33563	219	3	data	datum	NOUN
bracis-33563	219	4	highlighted	highlight	VERB
bracis-33563	219	5	in	in	ADP
bracis-33563	219	6	sect	sect	NOUN
bracis-33563	219	7	.	.	PUNCT
bracis-33563	219	8	 	 	SPACE
bracis-33563	219	9	4.6	4.6	NUM
bracis-33563	219	10	suggest	suggest	VERB
bracis-33563	219	11	that	that	SCONJ
bracis-33563	219	12	the	the	DET
bracis-33563	219	13	effectiveness	effectiveness	NOUN
bracis-33563	219	14	of	of	ADP
bracis-33563	219	15	baswe	baswe	NOUN
bracis-33563	219	16	decreases	decrease	VERB
bracis-33563	219	17	in	in	ADP
bracis-33563	219	18	the	the	DET
bracis-33563	219	19	presence	presence	NOUN
bracis-33563	219	20	of	of	ADP
bracis-33563	219	21	sudden	sudden	ADJ
bracis-33563	219	22	concept	concept	NOUN
bracis-33563	219	23	drifts	drift	NOUN
bracis-33563	219	24	.	.	PUNCT
bracis-33563	220	1	in	in	ADP
bracis-33563	220	2	such	such	ADJ
bracis-33563	220	3	cases	case	NOUN
bracis-33563	220	4	,	,	PUNCT
bracis-33563	220	5	the	the	DET
bracis-33563	220	6	algorithms	algorithm	NOUN
bracis-33563	220	7	that	that	PRON
bracis-33563	220	8	recorded	record	VERB
bracis-33563	220	9	the	the	DET
bracis-33563	220	10	highest	high	ADJ
bracis-33563	220	11	‘	'	PUNCT
bracis-33563	220	12	total	total	ADJ
bracis-33563	220	13	best	good	ADJ
bracis-33563	220	14	’	'	PUNCT
bracis-33563	220	15	scores	score	NOUN
bracis-33563	220	16	for	for	ADP
bracis-33563	220	17	each	each	DET
bracis-33563	220	18	metric	metric	ADJ
bracis-33563	220	19	(	(	PUNCT
bracis-33563	220	20	calmid	calmid	ADJ
bracis-33563	220	21	for	for	ADP
bracis-33563	220	22	f1	f1	NOUN
bracis-33563	220	23	-	-	PUNCT
bracis-33563	220	24	score	score	NOUN
bracis-33563	220	25	and	and	CCONJ
bracis-33563	220	26	rose	rise	VERB
bracis-33563	220	27	for	for	ADP
bracis-33563	220	28	kappa	kappa	ADJ
bracis-33563	220	29	)	)	PUNCT
bracis-33563	220	30	utilize	utilize	VERB
bracis-33563	220	31	drift	drift	NOUN
bracis-33563	220	32	detection	detection	NOUN
bracis-33563	220	33	mechanisms	mechanism	NOUN
bracis-33563	220	34	,	,	PUNCT
bracis-33563	220	35	which	which	PRON
bracis-33563	220	36	directly	directly	ADV
bracis-33563	220	37	address	address	VERB
bracis-33563	220	38	concept	concept	NOUN
bracis-33563	220	39	drift	drift	NOUN
bracis-33563	220	40	.	.	PUNCT
bracis-33563	221	1	this	this	PRON
bracis-33563	221	2	could	could	AUX
bracis-33563	221	3	suggest	suggest	VERB
bracis-33563	221	4	that	that	SCONJ
bracis-33563	221	5	baswe	baswe	NOUN
bracis-33563	221	6	’s	’s	PART
bracis-33563	221	7	implicit	implicit	ADJ
bracis-33563	221	8	method	method	NOUN
bracis-33563	221	9	of	of	ADP
bracis-33563	221	10	handling	handle	VERB
bracis-33563	221	11	concept	concept	NOUN
bracis-33563	221	12	drift	drift	NOUN
bracis-33563	221	13	may	may	AUX
bracis-33563	221	14	be	be	AUX
bracis-33563	221	15	less	less	ADV
bracis-33563	221	16	effective	effective	ADJ
bracis-33563	221	17	during	during	ADP
bracis-33563	221	18	rapid	rapid	ADJ
bracis-33563	221	19	shifts	shift	NOUN
bracis-33563	221	20	in	in	ADP
bracis-33563	221	21	data	datum	NOUN
bracis-33563	221	22	distribution	distribution	NOUN
bracis-33563	221	23	,	,	PUNCT
bracis-33563	221	24	resulting	result	VERB
bracis-33563	221	25	in	in	ADP
bracis-33563	221	26	a	a	DET
bracis-33563	221	27	slower	slow	ADJ
bracis-33563	221	28	adaptation	adaptation	NOUN
bracis-33563	221	29	to	to	ADP
bracis-33563	221	30	these	these	DET
bracis-33563	221	31	changes	change	NOUN
bracis-33563	221	32	.	.	PUNCT
bracis-33563	222	1	5	5	NUM
bracis-33563	222	2	conclusion	conclusion	NOUN
bracis-33563	222	3	this	this	DET
bracis-33563	222	4	paper	paper	NOUN
bracis-33563	222	5	presents	present	NOUN
bracis-33563	222	6	baswe	baswe	NOUN
bracis-33563	222	7	,	,	PUNCT
bracis-33563	222	8	an	an	DET
bracis-33563	222	9	algorithm	algorithm	NOUN
bracis-33563	222	10	tailored	tailor	VERB
bracis-33563	222	11	specifically	specifically	ADV
bracis-33563	222	12	for	for	ADP
bracis-33563	222	13	binary	binary	ADJ
bracis-33563	222	14	classification	classification	NOUN
bracis-33563	222	15	in	in	ADP
bracis-33563	222	16	imbalanced	imbalanced	ADJ
bracis-33563	222	17	data	datum	NOUN
bracis-33563	222	18	streams	stream	NOUN
bracis-33563	222	19	with	with	ADP
bracis-33563	222	20	and	and	CCONJ
bracis-33563	222	21	without	without	ADP
bracis-33563	222	22	concept	concept	NOUN
bracis-33563	222	23	drift	drift	NOUN
bracis-33563	222	24	.	.	PUNCT
bracis-33563	223	1	baswe	baswe	NOUN
bracis-33563	223	2	incorporates	incorporate	VERB
bracis-33563	223	3	sliding	slide	VERB
bracis-33563	223	4	windows	window	NOUN
bracis-33563	223	5	paired	pair	VERB
bracis-33563	223	6	with	with	ADP
bracis-33563	223	7	class	class	NOUN
bracis-33563	223	8	-	-	PUNCT
bracis-33563	223	9	specific	specific	ADJ
bracis-33563	223	10	oversampling	oversampling	NOUN
bracis-33563	223	11	.	.	PUNCT
bracis-33563	224	1	rather	rather	ADV
bracis-33563	224	2	than	than	ADP
bracis-33563	224	3	processing	process	VERB
bracis-33563	224	4	all	all	DET
bracis-33563	224	5	data	datum	NOUN
bracis-33563	224	6	uniformly	uniformly	ADV
bracis-33563	224	7	,	,	PUNCT
bracis-33563	224	8	baswe	baswe	NOUN
bracis-33563	224	9	prioritizes	prioritize	VERB
bracis-33563	224	10	the	the	DET
bracis-33563	224	11	minority	minority	NOUN
bracis-33563	224	12	class	class	NOUN
bracis-33563	224	13	instances	instance	NOUN
bracis-33563	224	14	,	,	PUNCT
bracis-33563	224	15	ensuring	ensure	VERB
bracis-33563	224	16	their	their	PRON
bracis-33563	224	17	proportional	proportional	ADJ
bracis-33563	224	18	representation	representation	NOUN
bracis-33563	224	19	within	within	ADP
bracis-33563	224	20	the	the	DET
bracis-33563	224	21	model	model	NOUN
bracis-33563	224	22	.	.	PUNCT
bracis-33563	225	1	class	class	NOUN
bracis-33563	225	2	-	-	PUNCT
bracis-33563	225	3	specific	specific	ADJ
bracis-33563	225	4	oversampling	oversampling	NOUN
bracis-33563	225	5	entails	entail	VERB
bracis-33563	225	6	replicating	replicate	VERB
bracis-33563	225	7	instances	instance	NOUN
bracis-33563	225	8	of	of	ADP
bracis-33563	225	9	the	the	DET
bracis-33563	225	10	minority	minority	NOUN
bracis-33563	225	11	class	class	NOUN
bracis-33563	225	12	,	,	PUNCT
bracis-33563	225	13	effectively	effectively	ADV
bracis-33563	225	14	countering	counter	VERB
bracis-33563	225	15	the	the	DET
bracis-33563	225	16	prevalent	prevalent	ADJ
bracis-33563	225	17	class	class	NOUN
bracis-33563	225	18	imbalance	imbalance	NOUN
bracis-33563	225	19	.	.	PUNCT
bracis-33563	226	1	furthermore	furthermore	ADV
bracis-33563	226	2	,	,	PUNCT
bracis-33563	226	3	baswe	baswe	NOUN
bracis-33563	226	4	leverages	leverage	VERB
bracis-33563	226	5	balanced	balanced	ADJ
bracis-33563	226	6	accuracy	accuracy	NOUN
bracis-33563	226	7	for	for	ADP
bracis-33563	226	8	ensemble	ensemble	ADJ
bracis-33563	226	9	updates	update	NOUN
bracis-33563	226	10	and	and	CCONJ
bracis-33563	226	11	vote	vote	NOUN
bracis-33563	226	12	abstention	abstention	NOUN
bracis-33563	226	13	.	.	PUNCT
bracis-33563	227	1	this	this	PRON
bracis-33563	227	2	not	not	PART
bracis-33563	227	3	only	only	ADV
bracis-33563	227	4	ensures	ensure	VERB
bracis-33563	227	5	that	that	SCONJ
bracis-33563	227	6	the	the	DET
bracis-33563	227	7	algorithm	algorithm	NOUN
bracis-33563	227	8	remains	remain	VERB
bracis-33563	227	9	unbiased	unbiased	ADJ
bracis-33563	227	10	towards	towards	ADP
bracis-33563	227	11	the	the	DET
bracis-33563	227	12	majority	majority	NOUN
bracis-33563	227	13	class	class	NOUN
bracis-33563	227	14	,	,	PUNCT
bracis-33563	227	15	offering	offer	VERB
bracis-33563	227	16	a	a	DET
bracis-33563	227	17	fair	fair	ADJ
bracis-33563	227	18	evaluation	evaluation	NOUN
bracis-33563	227	19	of	of	ADP
bracis-33563	227	20	its	its	PRON
bracis-33563	227	21	performance	performance	NOUN
bracis-33563	227	22	across	across	ADP
bracis-33563	227	23	both	both	DET
bracis-33563	227	24	classes	class	NOUN
bracis-33563	227	25	,	,	PUNCT
bracis-33563	227	26	but	but	CCONJ
bracis-33563	227	27	also	also	ADV
bracis-33563	227	28	measures	measure	VERB
bracis-33563	227	29	the	the	DET
bracis-33563	227	30	quality	quality	NOUN
bracis-33563	227	31	of	of	ADP
bracis-33563	227	32	experts	expert	NOUN
bracis-33563	227	33	within	within	ADP
bracis-33563	227	34	the	the	DET
bracis-33563	227	35	ensemble	ensemble	NOUN
bracis-33563	227	36	.	.	PUNCT
bracis-33563	228	1	by	by	ADP
bracis-33563	228	2	evaluating	evaluate	VERB
bracis-33563	228	3	and	and	CCONJ
bracis-33563	228	4	subsequently	subsequently	ADV
bracis-33563	228	5	updating	update	VERB
bracis-33563	228	6	or	or	CCONJ
bracis-33563	228	7	replacing	replace	VERB
bracis-33563	228	8	underperforming	underperform	VERB
bracis-33563	228	9	experts	expert	NOUN
bracis-33563	228	10	based	base	VERB
bracis-33563	228	11	on	on	ADP
bracis-33563	228	12	balanced	balanced	ADJ
bracis-33563	228	13	accuracy	accuracy	NOUN
bracis-33563	228	14	,	,	PUNCT
bracis-33563	228	15	baswe	baswe	NOUN
bracis-33563	228	16	implicitly	implicitly	ADV
bracis-33563	228	17	addresses	address	VERB
bracis-33563	228	18	concept	concept	NOUN
bracis-33563	228	19	drift	drift	NOUN
bracis-33563	228	20	over	over	ADP
bracis-33563	228	21	time	time	NOUN
bracis-33563	228	22	.	.	PUNCT
bracis-33563	229	1	this	this	DET
bracis-33563	229	2	continuous	continuous	ADJ
bracis-33563	229	3	updating	updating	NOUN
bracis-33563	229	4	also	also	ADV
bracis-33563	229	5	enhances	enhance	VERB
bracis-33563	229	6	the	the	DET
bracis-33563	229	7	diversity	diversity	NOUN
bracis-33563	229	8	within	within	ADP
bracis-33563	229	9	the	the	DET
bracis-33563	229	10	ensemble	ensemble	NOUN
bracis-33563	229	11	,	,	PUNCT
bracis-33563	229	12	which	which	PRON
bracis-33563	229	13	is	be	AUX
bracis-33563	229	14	further	far	ADV
bracis-33563	229	15	augmented	augment	VERB
bracis-33563	229	16	by	by	ADP
bracis-33563	229	17	selecting	select	VERB
bracis-33563	229	18	a	a	DET
bracis-33563	229	19	random	random	ADJ
bracis-33563	229	20	subset	subset	NOUN
bracis-33563	229	21	of	of	ADP
bracis-33563	229	22	features	feature	NOUN
bracis-33563	229	23	for	for	ADP
bracis-33563	229	24	each	each	DET
bracis-33563	229	25	expert	expert	NOUN
bracis-33563	229	26	in	in	ADP
bracis-33563	229	27	the	the	DET
bracis-33563	229	28	ensemble	ensemble	NOUN
bracis-33563	229	29	.	.	PUNCT
bracis-33563	230	1	its	its	PRON
bracis-33563	230	2	consistently	consistently	ADV
bracis-33563	230	3	high	high	ADJ
bracis-33563	230	4	performance	performance	NOUN
bracis-33563	230	5	across	across	ADP
bracis-33563	230	6	a	a	DET
bracis-33563	230	7	variety	variety	NOUN
bracis-33563	230	8	of	of	ADP
bracis-33563	230	9	datasets	dataset	NOUN
bracis-33563	230	10	,	,	PUNCT
bracis-33563	230	11	coupled	couple	VERB
bracis-33563	230	12	with	with	ADP
bracis-33563	230	13	its	its	PRON
bracis-33563	230	14	robustness	robustness	NOUN
bracis-33563	230	15	to	to	ADP
bracis-33563	230	16	different	different	ADJ
bracis-33563	230	17	data	datum	NOUN
bracis-33563	230	18	conditions	condition	NOUN
bracis-33563	230	19	,	,	PUNCT
bracis-33563	230	20	makes	make	VERB
bracis-33563	230	21	baswe	baswe	NOUN
bracis-33563	230	22	a	a	DET
bracis-33563	230	23	versatile	versatile	ADJ
bracis-33563	230	24	and	and	CCONJ
bracis-33563	230	25	reliable	reliable	ADJ
bracis-33563	230	26	choice	choice	NOUN
bracis-33563	230	27	for	for	ADP
bracis-33563	230	28	handling	handle	VERB
bracis-33563	230	29	classification	classification	NOUN
bracis-33563	230	30	tasks	task	NOUN
bracis-33563	230	31	in	in	ADP
bracis-33563	230	32	imbalanced	imbalanced	ADJ
bracis-33563	230	33	data	datum	NOUN
bracis-33563	230	34	streams	stream	NOUN
bracis-33563	230	35	,	,	PUNCT
bracis-33563	230	36	with	with	ADP
bracis-33563	230	37	or	or	CCONJ
bracis-33563	230	38	without	without	ADP
bracis-33563	230	39	concept	concept	NOUN
bracis-33563	230	40	drift	drift	NOUN
bracis-33563	230	41	.	.	PUNCT
bracis-33563	231	1	notes	note	NOUN
bracis-33563	231	2	1.code	1.code	NUM
bracis-33563	231	3	and	and	CCONJ
bracis-33563	231	4	datasets	dataset	NOUN
bracis-33563	231	5	available	available	ADJ
bracis-33563	231	6	on	on	ADP
bracis-33563	231	7	https://github.com/baswe-paper/baswe	https://github.com/baswe-paper/baswe	NOUN
bracis-33563	231	8	.	.	PUNCT
bracis-33563	232	1	2.code	2.code	NUM
bracis-33563	232	2	and	and	CCONJ
bracis-33563	232	3	datasets	dataset	NOUN
bracis-33563	232	4	are	be	AUX
bracis-33563	232	5	available	available	ADJ
bracis-33563	232	6	on	on	ADP
bracis-33563	232	7	https://github.com/baswe-paper/baswe	https://github.com/baswe-paper/baswe	NOUN
bracis-33563	232	8	.	.	PUNCT
bracis-33563	233	1	references	reference	NOUN
bracis-33563	233	2	aguiar	aguiar	PROPN
bracis-33563	233	3	,	,	PUNCT
bracis-33563	233	4	g.	g.	PROPN
bracis-33563	233	5	,	,	PUNCT
bracis-33563	233	6	krawczyk	krawczyk	PROPN
bracis-33563	233	7	,	,	PUNCT
bracis-33563	233	8	b.	b.	PROPN
bracis-33563	233	9	,	,	PUNCT
bracis-33563	233	10	cano	cano	PROPN
bracis-33563	233	11	,	,	PUNCT
bracis-33563	233	12	a.	a.	NOUN
bracis-33563	233	13	:	:	PUNCT
bracis-33563	233	14	a	a	DET
bracis-33563	233	15	survey	survey	NOUN
bracis-33563	233	16	on	on	ADP
bracis-33563	233	17	learning	learn	VERB
bracis-33563	233	18	from	from	ADP
bracis-33563	233	19	imbalanced	imbalanced	ADJ
bracis-33563	233	20	data	datum	NOUN
bracis-33563	233	21	streams	stream	NOUN
bracis-33563	233	22	:	:	PUNCT
bracis-33563	233	23	taxonomy	taxonomy	NOUN
bracis-33563	233	24	,	,	PUNCT
bracis-33563	233	25	challenges	challenge	NOUN
bracis-33563	233	26	,	,	PUNCT
bracis-33563	233	27	empirical	empirical	ADJ
bracis-33563	233	28	study	study	NOUN
bracis-33563	233	29	,	,	PUNCT
bracis-33563	233	30	and	and	CCONJ
bracis-33563	233	31	reproducible	reproducible	VERB
bracis-33563	233	32	experimental	experimental	ADJ
bracis-33563	233	33	framework	framework	NOUN
bracis-33563	233	34	.	.	PUNCT
bracis-33563	234	1	mach	mach	NOUN
bracis-33563	234	2	.	.	PUNCT
bracis-33563	235	1	learn	learn	VERB
bracis-33563	235	2	.	.	PUNCT
bracis-33563	236	1	113(7	113(7	NUM
bracis-33563	236	2	)	)	PUNCT
bracis-33563	236	3	,	,	PUNCT
bracis-33563	236	4	4165–4243	4165–4243	NUM
bracis-33563	236	5	(	(	PUNCT
bracis-33563	236	6	2023	2023	NUM
bracis-33563	236	7	)	)	PUNCT
bracis-33563	236	8	article	article	NOUN
bracis-33563	236	9	  	  	SPACE
bracis-33563	236	10	mathscinet	mathscinet	NOUN
bracis-33563	236	11	  	  	SPACE
bracis-33563	236	12	math	math	NOUN
bracis-33563	236	13	  	  	SPACE
bracis-33563	236	14	google	google	PROPN
bracis-33563	236	15	scholar	scholar	NOUN
bracis-33563	236	16	  	  	SPACE
bracis-33563	236	17	bahri	bahri	PROPN
bracis-33563	236	18	,	,	PUNCT
bracis-33563	236	19	m.	m.	NOUN
bracis-33563	236	20	,	,	PUNCT
bracis-33563	236	21	bifet	bifet	PROPN
bracis-33563	236	22	,	,	PUNCT
bracis-33563	236	23	a.	a.	NOUN
bracis-33563	236	24	,	,	PUNCT
bracis-33563	236	25	gama	gama	NOUN
bracis-33563	236	26	,	,	PUNCT
bracis-33563	236	27	j.	j.	PROPN
bracis-33563	236	28	,	,	PUNCT
bracis-33563	236	29	gomes	gomes	PROPN
bracis-33563	236	30	,	,	PUNCT
bracis-33563	236	31	h.m	h.m	PROPN
bracis-33563	236	32	.	.	PROPN
bracis-33563	236	33	,	,	PUNCT
bracis-33563	236	34	maniu	maniu	PROPN
bracis-33563	236	35	,	,	PUNCT
bracis-33563	236	36	s.	s.	PROPN
bracis-33563	236	37	:	:	PUNCT
bracis-33563	236	38	data	datum	NOUN
bracis-33563	236	39	stream	stream	NOUN
bracis-33563	236	40	analysis	analysis	NOUN
bracis-33563	236	41	:	:	PUNCT
bracis-33563	236	42	foundations	foundation	NOUN
bracis-33563	236	43	,	,	PUNCT
bracis-33563	236	44	major	major	ADJ
bracis-33563	236	45	tasks	task	NOUN
bracis-33563	236	46	and	and	CCONJ
bracis-33563	236	47	tools	tool	NOUN
bracis-33563	236	48	.	.	PUNCT
bracis-33563	237	1	wires	wire	NOUN
bracis-33563	237	2	data	data	PROPN
bracis-33563	237	3	mining	mining	NOUN
bracis-33563	237	4	knowl	knowl	NOUN
bracis-33563	237	5	.	.	PUNCT
bracis-33563	238	1	discov	discov	NOUN
bracis-33563	238	2	.	.	PUNCT
bracis-33563	239	1	11(3	11(3	NUM
bracis-33563	239	2	)	)	PUNCT
bracis-33563	239	3	(	(	PUNCT
bracis-33563	239	4	2021	2021	NUM
bracis-33563	239	5	)	)	PUNCT
bracis-33563	239	6	google	google	NOUN
bracis-33563	239	7	scholar	scholar	NOUN
bracis-33563	239	8	  	  	SPACE
bracis-33563	239	9	barrabés	barrabés	NOUN
bracis-33563	239	10	,	,	PUNCT
bracis-33563	239	11	m.	m.	NOUN
bracis-33563	239	12	,	,	PUNCT
bracis-33563	239	13	mas	mas	PROPN
bracis-33563	239	14	 	 	SPACE
bracis-33563	239	15	montserrat	montserrat	PROPN
bracis-33563	239	16	,	,	PUNCT
bracis-33563	239	17	d.	d.	PROPN
bracis-33563	239	18	,	,	PUNCT
bracis-33563	239	19	geleta	geleta	ADJ
bracis-33563	239	20	,	,	PUNCT
bracis-33563	239	21	m.	m.	NOUN
bracis-33563	239	22	,	,	PUNCT
bracis-33563	239	23	giró	giró	PROPN
bracis-33563	239	24	-	-	PUNCT
bracis-33563	239	25	i	i	PRON
bracis-33563	239	26	nieto	nieto	PROPN
bracis-33563	239	27	,	,	PUNCT
bracis-33563	239	28	x.	x.	NOUN
bracis-33563	239	29	,	,	PUNCT
bracis-33563	239	30	ioannidis	ioannidis	PROPN
bracis-33563	239	31	,	,	PUNCT
bracis-33563	239	32	a.	a.	NOUN
bracis-33563	239	33	:	:	PUNCT
bracis-33563	239	34	adversarial	adversarial	ADJ
bracis-33563	239	35	learning	learning	NOUN
bracis-33563	239	36	for	for	ADP
bracis-33563	239	37	feature	feature	NOUN
bracis-33563	239	38	shift	shift	NOUN
bracis-33563	239	39	detection	detection	NOUN
bracis-33563	239	40	and	and	CCONJ
bracis-33563	239	41	correction	correction	NOUN
bracis-33563	239	42	.	.	PUNCT
bracis-33563	240	1	in	in	ADP
bracis-33563	240	2	:	:	PUNCT
bracis-33563	240	3	advances	advance	NOUN
bracis-33563	240	4	in	in	ADP
bracis-33563	240	5	neural	neural	ADJ
bracis-33563	240	6	information	information	NOUN
bracis-33563	240	7	processing	processing	NOUN
bracis-33563	240	8	systems	system	NOUN
bracis-33563	240	9	,	,	PUNCT
bracis-33563	240	10	vol	vol	NOUN
bracis-33563	240	11	.	.	PROPN
bracis-33563	240	12	36	36	NUM
bracis-33563	240	13	(	(	PUNCT
bracis-33563	240	14	2024	2024	NUM
bracis-33563	240	15	)	)	PUNCT
bracis-33563	240	16	google	google	NOUN
bracis-33563	240	17	scholar	scholar	NOUN
bracis-33563	240	18	  	  	SPACE
bracis-33563	240	19	bernardo	bernardo	NOUN
bracis-33563	240	20	,	,	PUNCT
bracis-33563	240	21	a.	a.	NOUN
bracis-33563	240	22	,	,	PUNCT
bracis-33563	240	23	valle	valle	PROPN
bracis-33563	240	24	,	,	PUNCT
bracis-33563	240	25	e.d	e.d	PROPN
bracis-33563	240	26	.	.	PROPN
bracis-33563	240	27	:	:	PUNCT
bracis-33563	240	28	smote	smote	VERB
bracis-33563	240	29	-	-	PUNCT
bracis-33563	240	30	ob	ob	NOUN
bracis-33563	240	31	:	:	PUNCT
bracis-33563	240	32	combining	combine	VERB
bracis-33563	240	33	smote	smote	ADJ
bracis-33563	240	34	and	and	CCONJ
bracis-33563	240	35	online	online	ADJ
bracis-33563	240	36	bagging	bagging	NOUN
bracis-33563	240	37	for	for	ADP
bracis-33563	240	38	continuous	continuous	ADJ
bracis-33563	240	39	rebalancing	rebalancing	NOUN
bracis-33563	240	40	of	of	ADP
bracis-33563	240	41	evolving	evolve	VERB
bracis-33563	240	42	data	datum	NOUN
bracis-33563	240	43	streams	stream	NOUN
bracis-33563	240	44	.	.	PUNCT
bracis-33563	241	1	in	in	ADP
bracis-33563	241	2	:	:	PUNCT
bracis-33563	241	3	2021	2021	NUM
bracis-33563	241	4	ieee	ieee	PROPN
bracis-33563	241	5	international	international	ADJ
bracis-33563	241	6	conference	conference	NOUN
bracis-33563	241	7	on	on	ADP
bracis-33563	241	8	big	big	ADJ
bracis-33563	241	9	data	datum	NOUN
bracis-33563	241	10	,	,	PUNCT
bracis-33563	241	11	pp	pp	ADJ
bracis-33563	241	12	.	.	PUNCT
bracis-33563	242	1	5033–5042	5033–5042	NUM
bracis-33563	242	2	.	.	PUNCT
bracis-33563	243	1	ieee	ieee	PROPN
bracis-33563	243	2	,	,	PUNCT
bracis-33563	243	3	orlando	orlando	PROPN
bracis-33563	243	4	,	,	PUNCT
bracis-33563	243	5	fl	fl	PROPN
bracis-33563	243	6	,	,	PUNCT
bracis-33563	243	7	usa	usa	PROPN
bracis-33563	243	8	(	(	PUNCT
bracis-33563	243	9	2021	2021	NUM
bracis-33563	243	10	)	)	PUNCT
bracis-33563	243	11	google	google	NOUN
bracis-33563	243	12	scholar	scholar	NOUN
bracis-33563	243	13	  	  	SPACE
bracis-33563	243	14	bifet	bifet	PROPN
bracis-33563	243	15	,	,	PUNCT
bracis-33563	243	16	a.	a.	NOUN
bracis-33563	243	17	,	,	PUNCT
bracis-33563	243	18	holmes	holmes	PROPN
bracis-33563	243	19	,	,	PUNCT
bracis-33563	243	20	g.	g.	PROPN
bracis-33563	243	21	,	,	PUNCT
bracis-33563	243	22	pfahringer	pfahringer	NOUN
bracis-33563	243	23	,	,	PUNCT
bracis-33563	243	24	b.	b.	PROPN
bracis-33563	243	25	,	,	PUNCT
bracis-33563	243	26	kranen	kranen	PROPN
bracis-33563	243	27	,	,	PUNCT
bracis-33563	243	28	p.	p.	PROPN
bracis-33563	243	29	,	,	PUNCT
bracis-33563	243	30	kremer	kremer	PROPN
bracis-33563	243	31	,	,	PUNCT
bracis-33563	243	32	h.	h.	PROPN
bracis-33563	243	33	,	,	PUNCT
bracis-33563	243	34	jansen	jansen	PROPN
bracis-33563	243	35	,	,	PUNCT
bracis-33563	243	36	t.	t.	PROPN
bracis-33563	243	37	,	,	PUNCT
bracis-33563	243	38	seidl	seidl	NOUN
bracis-33563	243	39	,	,	PUNCT
bracis-33563	243	40	t.	t.	PROPN
bracis-33563	243	41	:	:	PUNCT
bracis-33563	243	42	moa	moa	NOUN
bracis-33563	243	43	:	:	PUNCT
bracis-33563	243	44	massive	massive	ADJ
bracis-33563	243	45	online	online	ADJ
bracis-33563	243	46	analysis	analysis	NOUN
bracis-33563	243	47	,	,	PUNCT
bracis-33563	243	48	a	a	DET
bracis-33563	243	49	framework	framework	NOUN
bracis-33563	243	50	for	for	ADP
bracis-33563	243	51	stream	stream	NOUN
bracis-33563	243	52	classification	classification	NOUN
bracis-33563	243	53	and	and	CCONJ
bracis-33563	243	54	clustering	clustering	NOUN
bracis-33563	243	55	.	.	PUNCT
bracis-33563	244	1	in	in	ADP
bracis-33563	244	2	:	:	PUNCT
bracis-33563	244	3	proceedings	proceeding	NOUN
bracis-33563	244	4	of	of	ADP
bracis-33563	244	5	the	the	DET
bracis-33563	244	6	first	first	ADJ
bracis-33563	244	7	workshop	workshop	NOUN
bracis-33563	244	8	on	on	ADP
bracis-33563	244	9	applications	application	NOUN
bracis-33563	244	10	of	of	ADP
bracis-33563	244	11	pattern	pattern	NOUN
bracis-33563	244	12	analysis	analysis	NOUN
bracis-33563	244	13	,	,	PUNCT
bracis-33563	244	14	vol	vol	NOUN
bracis-33563	244	15	.	.	PUNCT
bracis-33563	244	16	 	 	SPACE
bracis-33563	244	17	11	11	NUM
bracis-33563	244	18	,	,	PUNCT
bracis-33563	244	19	pp	pp	ADJ
bracis-33563	244	20	.	.	PUNCT
bracis-33563	244	21	44–50	44–50	NUM
bracis-33563	244	22	(	(	PUNCT
bracis-33563	244	23	2010	2010	NUM
bracis-33563	244	24	)	)	PUNCT
bracis-33563	244	25	google	google	PROPN
bracis-33563	244	26	scholar	scholar	NOUN
bracis-33563	244	27	  	  	SPACE
bracis-33563	244	28	cano	cano	PROPN
bracis-33563	244	29	,	,	PUNCT
bracis-33563	244	30	a.	a.	PROPN
bracis-33563	244	31	,	,	PUNCT
bracis-33563	244	32	krawczyk	krawczyk	PROPN
bracis-33563	244	33	,	,	PUNCT
bracis-33563	244	34	b.	b.	PROPN
bracis-33563	244	35	:	:	PUNCT
bracis-33563	244	36	evolving	evolve	VERB
bracis-33563	244	37	rule	rule	NOUN
bracis-33563	244	38	-	-	PUNCT
bracis-33563	244	39	based	base	VERB
bracis-33563	244	40	classifiers	classifier	NOUN
bracis-33563	244	41	with	with	ADP
bracis-33563	244	42	genetic	genetic	ADJ
bracis-33563	244	43	programming	programming	NOUN
bracis-33563	244	44	on	on	ADP
bracis-33563	244	45	gpus	gpu	NOUN
bracis-33563	244	46	for	for	ADP
bracis-33563	244	47	drifting	drift	VERB
bracis-33563	244	48	data	datum	NOUN
bracis-33563	244	49	streams	stream	NOUN
bracis-33563	244	50	.	.	PUNCT
bracis-33563	245	1	pattern	pattern	NOUN
bracis-33563	245	2	recogn	recogn	VERB
bracis-33563	245	3	.	.	PUNCT
bracis-33563	246	1	87	87	NUM
bracis-33563	246	2	,	,	PUNCT
bracis-33563	246	3	248–268	248–268	NUM
bracis-33563	246	4	(	(	PUNCT
bracis-33563	246	5	2019	2019	NUM
bracis-33563	246	6	)	)	PUNCT
bracis-33563	246	7	article	article	NOUN
bracis-33563	246	8	  	  	SPACE
bracis-33563	246	9	math	math	NOUN
bracis-33563	246	10	  	  	SPACE
bracis-33563	246	11	google	google	PROPN
bracis-33563	246	12	scholar	scholar	NOUN
bracis-33563	246	13	  	  	SPACE
bracis-33563	246	14	cano	cano	PROPN
bracis-33563	246	15	,	,	PUNCT
bracis-33563	246	16	a.	a.	PROPN
bracis-33563	246	17	,	,	PUNCT
bracis-33563	246	18	krawczyk	krawczyk	PROPN
bracis-33563	246	19	,	,	PUNCT
bracis-33563	246	20	b.	b.	PROPN
bracis-33563	246	21	:	:	PUNCT
bracis-33563	247	1	kappa	kappa	PROPN
bracis-33563	247	2	updated	update	VERB
bracis-33563	247	3	ensemble	ensemble	ADJ
bracis-33563	247	4	for	for	ADP
bracis-33563	247	5	drifting	drift	VERB
bracis-33563	247	6	data	datum	NOUN
bracis-33563	247	7	stream	stream	NOUN
bracis-33563	247	8	mining	mining	NOUN
bracis-33563	247	9	.	.	PUNCT
bracis-33563	248	1	mach	mach	PROPN
bracis-33563	248	2	.	.	PUNCT
bracis-33563	249	1	learn	learn	VERB
bracis-33563	249	2	.	.	PUNCT
bracis-33563	250	1	109(1	109(1	NUM
bracis-33563	250	2	)	)	PUNCT
bracis-33563	250	3	,	,	PUNCT
bracis-33563	250	4	175–218	175–218	NUM
bracis-33563	250	5	(	(	PUNCT
bracis-33563	250	6	2020	2020	NUM
bracis-33563	250	7	)	)	PUNCT
bracis-33563	250	8	article	article	NOUN
bracis-33563	250	9	  	  	SPACE
bracis-33563	250	10	mathscinet	mathscinet	NOUN
bracis-33563	250	11	  	  	SPACE
bracis-33563	250	12	math	math	NOUN
bracis-33563	250	13	  	  	SPACE
bracis-33563	250	14	google	google	PROPN
bracis-33563	250	15	scholar	scholar	NOUN
bracis-33563	250	16	  	  	SPACE
bracis-33563	250	17	cano	cano	PROPN
bracis-33563	250	18	,	,	PUNCT
bracis-33563	250	19	a.	a.	PROPN
bracis-33563	250	20	,	,	PUNCT
bracis-33563	250	21	krawczyk	krawczyk	PROPN
bracis-33563	250	22	,	,	PUNCT
bracis-33563	250	23	b.	b.	PROPN
bracis-33563	250	24	:	:	PUNCT
bracis-33563	250	25	rose	rise	VERB
bracis-33563	250	26	:	:	PUNCT
bracis-33563	250	27	robust	robust	ADJ
bracis-33563	250	28	online	online	ADJ
bracis-33563	250	29	self	self	NOUN
bracis-33563	250	30	-	-	PUNCT
bracis-33563	250	31	adjusting	adjust	VERB
bracis-33563	250	32	ensemble	ensemble	ADJ
bracis-33563	250	33	for	for	ADP
bracis-33563	250	34	continual	continual	ADJ
bracis-33563	250	35	learning	learning	NOUN
bracis-33563	250	36	on	on	ADP
bracis-33563	250	37	imbalanced	imbalanced	ADJ
bracis-33563	250	38	drifting	drift	VERB
bracis-33563	250	39	data	datum	NOUN
bracis-33563	250	40	streams	stream	NOUN
bracis-33563	250	41	.	.	PUNCT
bracis-33563	251	1	mach	mach	NOUN
bracis-33563	251	2	.	.	PUNCT
bracis-33563	252	1	learn	learn	VERB
bracis-33563	252	2	.	.	PUNCT
bracis-33563	253	1	111(7	111(7	NUM
bracis-33563	253	2	)	)	PUNCT
bracis-33563	253	3	,	,	PUNCT
bracis-33563	253	4	2561–2599	2561–2599	NUM
bracis-33563	253	5	(	(	PUNCT
bracis-33563	253	6	2022	2022	NUM
bracis-33563	253	7	)	)	PUNCT
bracis-33563	253	8	article	article	NOUN
bracis-33563	253	9	  	  	SPACE
bracis-33563	253	10	mathscinet	mathscinet	NOUN
bracis-33563	253	11	  	  	SPACE
bracis-33563	253	12	math	math	NOUN
bracis-33563	253	13	  	  	SPACE
bracis-33563	253	14	google	google	PROPN
bracis-33563	253	15	scholar	scholar	NOUN
bracis-33563	253	16	  	  	SPACE
bracis-33563	253	17	du	du	PROPN
bracis-33563	253	18	,	,	PUNCT
bracis-33563	253	19	h.	h.	PROPN
bracis-33563	253	20	,	,	PUNCT
bracis-33563	253	21	palaoag	palaoag	PROPN
bracis-33563	253	22	,	,	PUNCT
bracis-33563	253	23	t.d	t.d	PROPN
bracis-33563	253	24	.	.	PUNCT
bracis-33563	253	25	:	:	PUNCT
bracis-33563	254	1	dynamic	dynamic	ADJ
bracis-33563	254	2	weighted	weight	VERB
bracis-33563	254	3	majority	majority	NOUN
bracis-33563	254	4	based	base	VERB
bracis-33563	254	5	on	on	ADP
bracis-33563	254	6	over	over	ADV
bracis-33563	254	7	-	-	PUNCT
bracis-33563	254	8	sampling	sample	VERB
bracis-33563	254	9	for	for	ADP
bracis-33563	254	10	imbalanced	imbalanced	ADJ
bracis-33563	254	11	data	datum	NOUN
bracis-33563	254	12	streams	stream	NOUN
bracis-33563	254	13	.	.	PUNCT
bracis-33563	255	1	in	in	ADP
bracis-33563	255	2	:	:	PUNCT
bracis-33563	255	3	ciis	ciis	NOUN
bracis-33563	255	4	2021	2021	NUM
bracis-33563	255	5	:	:	PUNCT
bracis-33563	255	6	the	the	DET
bracis-33563	255	7	4th	4th	ADJ
bracis-33563	255	8	international	international	ADJ
bracis-33563	255	9	conference	conference	NOUN
bracis-33563	255	10	on	on	ADP
bracis-33563	255	11	computational	computational	ADJ
bracis-33563	255	12	intelligence	intelligence	NOUN
bracis-33563	255	13	and	and	CCONJ
bracis-33563	255	14	intelligent	intelligent	ADJ
bracis-33563	255	15	systems	system	NOUN
bracis-33563	255	16	,	,	PUNCT
bracis-33563	255	17	november	november	PROPN
bracis-33563	255	18	20–22	20–22	NUM
bracis-33563	255	19	,	,	PUNCT
bracis-33563	255	20	2021	2021	NUM
bracis-33563	255	21	,	,	PUNCT
bracis-33563	255	22	pp	pp	ADV
bracis-33563	255	23	.	.	PUNCT
bracis-33563	256	1	87–95	87–95	NUM
bracis-33563	256	2	.	.	PUNCT
bracis-33563	256	3	acm	acm	PROPN
bracis-33563	256	4	,	,	PUNCT
bracis-33563	256	5	tokyo	tokyo	PROPN
bracis-33563	256	6	,	,	PUNCT
bracis-33563	256	7	japan	japan	PROPN
bracis-33563	256	8	(	(	PUNCT
bracis-33563	256	9	2021	2021	NUM
bracis-33563	256	10	)	)	PUNCT
bracis-33563	256	11	google	google	PROPN
bracis-33563	256	12	scholar	scholar	NOUN
bracis-33563	256	13	  	  	SPACE
bracis-33563	256	14	gaber	gaber	PROPN
bracis-33563	256	15	,	,	PUNCT
bracis-33563	256	16	m.m	m.m	PROPN
bracis-33563	256	17	.	.	PROPN
bracis-33563	256	18	:	:	PUNCT
bracis-33563	256	19	advances	advance	NOUN
bracis-33563	256	20	in	in	ADP
bracis-33563	256	21	data	data	NOUN
bracis-33563	256	22	stream	stream	NOUN
bracis-33563	256	23	mining	mining	NOUN
bracis-33563	256	24	.	.	PUNCT
bracis-33563	257	1	wires	wire	NOUN
bracis-33563	257	2	data	data	PROPN
bracis-33563	257	3	mining	mining	NOUN
bracis-33563	257	4	knowl	knowl	NOUN
bracis-33563	257	5	.	.	PUNCT
bracis-33563	258	1	discov	discov	NOUN
bracis-33563	258	2	.	.	PUNCT
bracis-33563	259	1	2(1	2(1	NUM
bracis-33563	259	2	)	)	PUNCT
bracis-33563	259	3	,	,	PUNCT
bracis-33563	259	4	79–85	79–85	NUM
bracis-33563	259	5	(	(	PUNCT
bracis-33563	259	6	2012	2012	NUM
bracis-33563	259	7	)	)	PUNCT
bracis-33563	259	8	article	article	NOUN
bracis-33563	259	9	  	  	SPACE
bracis-33563	259	10	math	math	NOUN
bracis-33563	259	11	  	  	SPACE
bracis-33563	259	12	google	google	PROPN
bracis-33563	259	13	scholar	scholar	NOUN
bracis-33563	259	14	  	  	SPACE
bracis-33563	259	15	gama	gama	NOUN
bracis-33563	259	16	,	,	PUNCT
bracis-33563	259	17	j.	j.	PROPN
bracis-33563	259	18	:	:	PUNCT
bracis-33563	259	19	knowledge	knowledge	NOUN
bracis-33563	259	20	discovery	discovery	PROPN
bracis-33563	259	21	from	from	ADP
bracis-33563	259	22	data	datum	NOUN
bracis-33563	259	23	streams	stream	NOUN
bracis-33563	259	24	.	.	PUNCT
bracis-33563	260	1	crc	crc	PROPN
bracis-33563	260	2	press	press	PROPN
bracis-33563	260	3	,	,	PUNCT
bracis-33563	260	4	boca	boca	PROPN
bracis-33563	260	5	raton	raton	PROPN
bracis-33563	260	6	,	,	PUNCT
bracis-33563	260	7	fl	fl	PROPN
bracis-33563	260	8	,	,	PUNCT
bracis-33563	260	9	usa	usa	PROPN
bracis-33563	260	10	,	,	PUNCT
bracis-33563	260	11	chapman	chapman	NOUN
bracis-33563	260	12	and	and	CCONJ
bracis-33563	260	13	hall	hall	PROPN
bracis-33563	260	14	/	/	SYM
bracis-33563	260	15	crc	crc	NOUN
bracis-33563	260	16	data	data	PROPN
bracis-33563	260	17	mining	mining	NOUN
bracis-33563	260	18	and	and	CCONJ
bracis-33563	260	19	knowledge	knowledge	NOUN
bracis-33563	260	20	discovery	discovery	PROPN
bracis-33563	260	21	series	series	PROPN
bracis-33563	260	22	(	(	PUNCT
bracis-33563	260	23	2010	2010	NUM
bracis-33563	260	24	)	)	PUNCT
bracis-33563	260	25	book	book	NOUN
bracis-33563	260	26	  	  	SPACE
bracis-33563	260	27	math	math	NOUN
bracis-33563	260	28	  	  	SPACE
bracis-33563	260	29	google	google	PROPN
bracis-33563	260	30	scholar	scholar	NOUN
bracis-33563	260	31	  	  	SPACE
bracis-33563	260	32	gama	gama	NOUN
bracis-33563	260	33	,	,	PUNCT
bracis-33563	260	34	j.	j.	PROPN
bracis-33563	260	35	,	,	PUNCT
bracis-33563	260	36	zliobaite	zliobaite	PROPN
bracis-33563	260	37	,	,	PUNCT
bracis-33563	260	38	i.	i.	NOUN
bracis-33563	260	39	,	,	PUNCT
bracis-33563	260	40	bifet	bifet	PROPN
bracis-33563	260	41	,	,	PUNCT
bracis-33563	260	42	a.	a.	NOUN
bracis-33563	260	43	,	,	PUNCT
bracis-33563	260	44	pechenizkiy	pechenizkiy	NOUN
bracis-33563	260	45	,	,	PUNCT
bracis-33563	260	46	m.	m.	NOUN
bracis-33563	260	47	,	,	PUNCT
bracis-33563	260	48	bouchachia	bouchachia	NOUN
bracis-33563	260	49	,	,	PUNCT
bracis-33563	260	50	a.	a.	NOUN
bracis-33563	260	51	:	:	PUNCT
bracis-33563	260	52	a	a	DET
bracis-33563	260	53	survey	survey	NOUN
bracis-33563	260	54	on	on	ADP
bracis-33563	260	55	concept	concept	NOUN
bracis-33563	260	56	drift	drift	NOUN
bracis-33563	260	57	adaptation	adaptation	NOUN
bracis-33563	260	58	.	.	PUNCT
bracis-33563	261	1	acm	acm	PROPN
bracis-33563	261	2	comput	comput	NOUN
bracis-33563	261	3	.	.	PUNCT
bracis-33563	262	1	surv	surv	NOUN
bracis-33563	262	2	.	.	PUNCT
bracis-33563	263	1	46(4	46(4	NUM
bracis-33563	263	2	)	)	PUNCT
bracis-33563	263	3	,	,	PUNCT
bracis-33563	263	4	1–37	1–37	PROPN
bracis-33563	263	5	(	(	PUNCT
bracis-33563	263	6	2014	2014	NUM
bracis-33563	263	7	)	)	PUNCT
bracis-33563	263	8	article	article	NOUN
bracis-33563	263	9	  	  	SPACE
bracis-33563	263	10	math	math	NOUN
bracis-33563	263	11	  	  	SPACE
bracis-33563	263	12	google	google	PROPN
bracis-33563	263	13	scholar	scholar	NOUN
bracis-33563	263	14	  	  	SPACE
bracis-33563	263	15	hulten	hulten	VERB
bracis-33563	263	16	,	,	PUNCT
bracis-33563	263	17	g.	g.	PROPN
bracis-33563	263	18	,	,	PUNCT
bracis-33563	263	19	spencer	spencer	PROPN
bracis-33563	263	20	,	,	PUNCT
bracis-33563	263	21	l.	l.	PROPN
bracis-33563	263	22	,	,	PUNCT
bracis-33563	263	23	domingos	domingos	PROPN
bracis-33563	263	24	,	,	PUNCT
bracis-33563	263	25	p.m.	p.m.	NOUN
bracis-33563	263	26	:	:	PUNCT
bracis-33563	263	27	mining	mining	NOUN
bracis-33563	263	28	time	time	NOUN
bracis-33563	263	29	-	-	PUNCT
bracis-33563	263	30	changing	change	VERB
bracis-33563	263	31	data	datum	NOUN
bracis-33563	263	32	streams	stream	NOUN
bracis-33563	263	33	.	.	PUNCT
bracis-33563	264	1	in	in	ADP
bracis-33563	264	2	:	:	PUNCT
bracis-33563	264	3	proceedings	proceeding	NOUN
bracis-33563	264	4	of	of	ADP
bracis-33563	264	5	the	the	DET
bracis-33563	264	6	seventh	seventh	ADJ
bracis-33563	264	7	acm	acm	PROPN
bracis-33563	264	8	sigkdd	sigkdd	NOUN
bracis-33563	264	9	international	international	ADJ
bracis-33563	264	10	conference	conference	NOUN
bracis-33563	264	11	on	on	ADP
bracis-33563	264	12	knowledge	knowledge	NOUN
bracis-33563	264	13	discovery	discovery	PROPN
bracis-33563	264	14	and	and	CCONJ
bracis-33563	264	15	data	datum	NOUN
bracis-33563	264	16	mining	mining	NOUN
bracis-33563	264	17	,	,	PUNCT
bracis-33563	264	18	pp	pp	ADJ
bracis-33563	264	19	.	.	PUNCT
bracis-33563	265	1	97–106	97–106	NUM
bracis-33563	265	2	.	.	PUNCT
bracis-33563	265	3	acm	acm	PROPN
bracis-33563	265	4	,	,	PUNCT
bracis-33563	265	5	san	san	PROPN
bracis-33563	265	6	francisco	francisco	PROPN
bracis-33563	265	7	,	,	PUNCT
bracis-33563	265	8	ca	ca	PROPN
bracis-33563	265	9	,	,	PUNCT
bracis-33563	265	10	usa	usa	PROPN
bracis-33563	265	11	(	(	PUNCT
bracis-33563	265	12	2001	2001	NUM
bracis-33563	265	13	)	)	PUNCT
bracis-33563	265	14	google	google	PROPN
bracis-33563	265	15	scholar	scholar	NOUN
bracis-33563	265	16	  	  	SPACE
bracis-33563	265	17	krawczyk	krawczyk	PROPN
bracis-33563	265	18	,	,	PUNCT
bracis-33563	265	19	b.	b.	PROPN
bracis-33563	265	20	:	:	PUNCT
bracis-33563	266	1	learning	learn	VERB
bracis-33563	266	2	from	from	ADP
bracis-33563	266	3	imbalanced	imbalanced	ADJ
bracis-33563	266	4	data	datum	NOUN
bracis-33563	266	5	:	:	PUNCT
bracis-33563	266	6	open	open	ADJ
bracis-33563	266	7	challenges	challenge	NOUN
bracis-33563	266	8	and	and	CCONJ
bracis-33563	266	9	future	future	ADJ
bracis-33563	266	10	directions	direction	NOUN
bracis-33563	266	11	.	.	PUNCT
bracis-33563	267	1	prog	prog	NOUN
bracis-33563	267	2	.	.	PUNCT
bracis-33563	268	1	artif	artif	PROPN
bracis-33563	268	2	.	.	PUNCT
bracis-33563	269	1	intell	intell	PROPN
bracis-33563	269	2	.	.	PUNCT
bracis-33563	270	1	5(4	5(4	NUM
bracis-33563	270	2	)	)	PUNCT
bracis-33563	270	3	,	,	PUNCT
bracis-33563	270	4	221–232	221–232	NUM
bracis-33563	270	5	(	(	PUNCT
bracis-33563	270	6	2016	2016	NUM
bracis-33563	270	7	)	)	PUNCT
bracis-33563	270	8	article	article	NOUN
bracis-33563	270	9	  	  	SPACE
bracis-33563	270	10	math	math	NOUN
bracis-33563	270	11	  	  	SPACE
bracis-33563	270	12	google	google	PROPN
bracis-33563	270	13	scholar	scholar	NOUN
bracis-33563	270	14	  	  	SPACE
bracis-33563	270	15	krawczyk	krawczyk	PROPN
bracis-33563	270	16	,	,	PUNCT
bracis-33563	270	17	b.	b.	PROPN
bracis-33563	270	18	,	,	PUNCT
bracis-33563	270	19	minku	minku	ADJ
bracis-33563	270	20	,	,	PUNCT
bracis-33563	270	21	l.l	l.l	PROPN
bracis-33563	270	22	.	.	PROPN
bracis-33563	270	23	,	,	PUNCT
bracis-33563	270	24	gama	gama	PROPN
bracis-33563	270	25	,	,	PUNCT
bracis-33563	270	26	j.	j.	PROPN
bracis-33563	270	27	,	,	PUNCT
bracis-33563	270	28	stefanowski	stefanowski	PROPN
bracis-33563	270	29	,	,	PUNCT
bracis-33563	270	30	j.	j.	PROPN
bracis-33563	270	31	,	,	PUNCT
bracis-33563	270	32	wozniak	wozniak	PROPN
bracis-33563	270	33	,	,	PUNCT
bracis-33563	270	34	m.	m.	NOUN
bracis-33563	270	35	:	:	PUNCT
bracis-33563	270	36	ensemble	ensemble	ADJ
bracis-33563	270	37	learning	learning	NOUN
bracis-33563	270	38	for	for	ADP
bracis-33563	270	39	data	datum	NOUN
bracis-33563	270	40	stream	stream	NOUN
bracis-33563	270	41	analysis	analysis	NOUN
bracis-33563	270	42	:	:	PUNCT
bracis-33563	270	43	a	a	DET
bracis-33563	270	44	survey	survey	NOUN
bracis-33563	270	45	.	.	PUNCT
bracis-33563	271	1	inf	inf	PROPN
bracis-33563	271	2	.	.	PUNCT
bracis-33563	271	3	fusion	fusion	PROPN
bracis-33563	271	4	37	37	NUM
bracis-33563	271	5	,	,	PUNCT
bracis-33563	271	6	132–156	132–156	NUM
bracis-33563	271	7	(	(	PUNCT
bracis-33563	271	8	2017	2017	NUM
bracis-33563	271	9	)	)	PUNCT
bracis-33563	271	10	article	article	NOUN
bracis-33563	271	11	  	  	SPACE
bracis-33563	271	12	math	math	NOUN
bracis-33563	271	13	  	  	SPACE
bracis-33563	271	14	google	google	PROPN
bracis-33563	271	15	scholar	scholar	NOUN
bracis-33563	271	16	  	  	SPACE
bracis-33563	271	17	li	li	PROPN
bracis-33563	271	18	,	,	PUNCT
bracis-33563	271	19	z.	z.	PROPN
bracis-33563	271	20	,	,	PUNCT
bracis-33563	271	21	huang	huang	PROPN
bracis-33563	271	22	,	,	PUNCT
bracis-33563	271	23	w.	w.	PROPN
bracis-33563	271	24	,	,	PUNCT
bracis-33563	271	25	xiong	xiong	PROPN
bracis-33563	271	26	,	,	PUNCT
bracis-33563	271	27	y.	y.	PROPN
bracis-33563	271	28	,	,	PUNCT
bracis-33563	271	29	ren	ren	PROPN
bracis-33563	271	30	,	,	PUNCT
bracis-33563	271	31	s.	s.	PROPN
bracis-33563	271	32	,	,	PUNCT
bracis-33563	271	33	zhu	zhu	PROPN
bracis-33563	271	34	,	,	PUNCT
bracis-33563	271	35	t.	t.	PROPN
bracis-33563	271	36	:	:	PUNCT
bracis-33563	271	37	incremental	incremental	ADJ
bracis-33563	271	38	learning	learn	VERB
bracis-33563	271	39	imbalanced	imbalance	VERB
bracis-33563	271	40	data	datum	NOUN
bracis-33563	271	41	streams	stream	NOUN
bracis-33563	271	42	with	with	ADP
bracis-33563	271	43	concept	concept	NOUN
bracis-33563	271	44	drift	drift	NOUN
bracis-33563	271	45	:	:	PUNCT
bracis-33563	271	46	the	the	DET
bracis-33563	271	47	dynamic	dynamic	ADJ
bracis-33563	271	48	updated	update	VERB
bracis-33563	271	49	ensemble	ensemble	ADJ
bracis-33563	271	50	algorithm	algorithm	NOUN
bracis-33563	271	51	.	.	PUNCT
bracis-33563	272	1	knowl	knowl	PROPN
bracis-33563	272	2	.	.	PUNCT
bracis-33563	273	1	based	base	VERB
bracis-33563	273	2	syst	syst	PROPN
bracis-33563	273	3	.	.	PUNCT
bracis-33563	274	1	195	195	NUM
bracis-33563	274	2	,	,	PUNCT
bracis-33563	274	3	105694	105694	NUM
bracis-33563	274	4	(	(	PUNCT
bracis-33563	274	5	2020	2020	NUM
bracis-33563	274	6	)	)	PUNCT
bracis-33563	274	7	article	article	NOUN
bracis-33563	274	8	  	  	SPACE
bracis-33563	274	9	google	google	PROPN
bracis-33563	274	10	scholar	scholar	NOUN
bracis-33563	274	11	  	  	SPACE
bracis-33563	274	12	liu	liu	PROPN
bracis-33563	274	13	,	,	PUNCT
bracis-33563	274	14	w.	w.	PROPN
bracis-33563	274	15	,	,	PUNCT
bracis-33563	274	16	zhang	zhang	PROPN
bracis-33563	274	17	,	,	PUNCT
bracis-33563	274	18	h.	h.	PROPN
bracis-33563	274	19	,	,	PUNCT
bracis-33563	274	20	ding	ding	PROPN
bracis-33563	274	21	,	,	PUNCT
bracis-33563	274	22	z.	z.	PROPN
bracis-33563	274	23	,	,	PUNCT
bracis-33563	274	24	liu	liu	PROPN
bracis-33563	274	25	,	,	PUNCT
bracis-33563	274	26	q.	q.	PROPN
bracis-33563	274	27	,	,	PUNCT
bracis-33563	274	28	zhu	zhu	PROPN
bracis-33563	274	29	,	,	PUNCT
bracis-33563	274	30	c.	c.	PROPN
bracis-33563	274	31	:	:	PUNCT
bracis-33563	274	32	a	a	DET
bracis-33563	274	33	comprehensive	comprehensive	ADJ
bracis-33563	274	34	active	active	ADJ
bracis-33563	274	35	learning	learning	NOUN
bracis-33563	274	36	method	method	NOUN
bracis-33563	274	37	for	for	ADP
bracis-33563	274	38	multiclass	multiclass	ADJ
bracis-33563	274	39	imbalanced	imbalanced	ADJ
bracis-33563	274	40	data	data	NOUN
bracis-33563	274	41	streams	stream	NOUN
bracis-33563	274	42	with	with	ADP
bracis-33563	274	43	concept	concept	NOUN
bracis-33563	274	44	drift	drift	NOUN
bracis-33563	274	45	.	.	PUNCT
bracis-33563	275	1	knowl	knowl	PROPN
bracis-33563	275	2	.	.	PUNCT
bracis-33563	276	1	based	base	VERB
bracis-33563	276	2	syst	syst	PROPN
bracis-33563	276	3	.	.	PUNCT
bracis-33563	277	1	215	215	NUM
bracis-33563	277	2	,	,	PUNCT
bracis-33563	277	3	106778	106778	NUM
bracis-33563	277	4	(	(	PUNCT
bracis-33563	277	5	2021	2021	NUM
bracis-33563	277	6	)	)	PUNCT
bracis-33563	277	7	article	article	NOUN
bracis-33563	277	8	  	  	SPACE
bracis-33563	277	9	math	math	NOUN
bracis-33563	277	10	  	  	SPACE
bracis-33563	277	11	google	google	PROPN
bracis-33563	277	12	scholar	scholar	NOUN
bracis-33563	277	13	  	  	SPACE
bracis-33563	277	14	loezer	loezer	NOUN
bracis-33563	277	15	,	,	PUNCT
bracis-33563	277	16	l.	l.	PROPN
bracis-33563	277	17	,	,	PUNCT
bracis-33563	277	18	enembreck	enembreck	NOUN
bracis-33563	277	19	,	,	PUNCT
bracis-33563	277	20	f.	f.	PROPN
bracis-33563	277	21	,	,	PUNCT
bracis-33563	277	22	barddal	barddal	PROPN
bracis-33563	277	23	,	,	PUNCT
bracis-33563	277	24	j.p	j.p	PROPN
bracis-33563	277	25	.	.	PROPN
bracis-33563	277	26	,	,	PUNCT
bracis-33563	277	27	de	de	PROPN
bracis-33563	277	28	 	 	SPACE
bracis-33563	277	29	souza	souza	PROPN
bracis-33563	277	30	britto	britto	PROPN
bracis-33563	277	31	 	 	SPACE
bracis-33563	277	32	jr	jr	PROPN
bracis-33563	277	33	.	.	PROPN
bracis-33563	277	34	,	,	PUNCT
bracis-33563	277	35	a.	a.	NOUN
bracis-33563	277	36	:	:	PUNCT
bracis-33563	277	37	cost	cost	NOUN
bracis-33563	277	38	-	-	PUNCT
bracis-33563	277	39	sensitive	sensitive	ADJ
bracis-33563	277	40	learning	learning	NOUN
bracis-33563	277	41	for	for	ADP
bracis-33563	277	42	imbalanced	imbalanced	ADJ
bracis-33563	277	43	data	datum	NOUN
bracis-33563	277	44	streams	stream	NOUN
bracis-33563	277	45	.	.	PUNCT
bracis-33563	278	1	in	in	ADP
bracis-33563	278	2	:	:	PUNCT
bracis-33563	278	3	the	the	DET
bracis-33563	278	4	35th	35th	ADJ
bracis-33563	278	5	acm	acm	NOUN
bracis-33563	278	6	/	/	SYM
bracis-33563	278	7	sigapp	sigapp	NOUN
bracis-33563	278	8	symposium	symposium	NOUN
bracis-33563	278	9	on	on	ADP
bracis-33563	278	10	applied	apply	VERB
bracis-33563	278	11	computing	computing	NOUN
bracis-33563	278	12	,	,	PUNCT
bracis-33563	278	13	pp	pp	ADJ
bracis-33563	278	14	.	.	PUNCT
bracis-33563	279	1	498–504	498–504	NUM
bracis-33563	279	2	.	.	PUNCT
bracis-33563	280	1	acm	acm	PROPN
bracis-33563	280	2	,	,	PUNCT
bracis-33563	280	3	brno	brno	NOUN
bracis-33563	280	4	,	,	PUNCT
bracis-33563	280	5	czech	czech	PROPN
bracis-33563	280	6	republic	republic	NOUN
bracis-33563	280	7	(	(	PUNCT
bracis-33563	280	8	2020	2020	NUM
bracis-33563	280	9	)	)	PUNCT
bracis-33563	280	10	google	google	PROPN
bracis-33563	280	11	scholar	scholar	NOUN
bracis-33563	280	12	  	  	SPACE
bracis-33563	280	13	wang	wang	PROPN
bracis-33563	280	14	,	,	PUNCT
bracis-33563	280	15	b.	b.	PROPN
bracis-33563	280	16	,	,	PUNCT
bracis-33563	280	17	pineau	pineau	PROPN
bracis-33563	280	18	,	,	PUNCT
bracis-33563	280	19	j.	j.	PROPN
bracis-33563	280	20	:	:	PUNCT
bracis-33563	280	21	online	online	ADJ
bracis-33563	280	22	bagging	bagging	NOUN
bracis-33563	280	23	and	and	CCONJ
bracis-33563	280	24	boosting	boost	VERB
bracis-33563	280	25	for	for	ADP
bracis-33563	280	26	imbalanced	imbalanced	ADJ
bracis-33563	280	27	data	datum	NOUN
bracis-33563	280	28	streams	stream	NOUN
bracis-33563	280	29	.	.	PUNCT
bracis-33563	281	1	ieee	ieee	PROPN
bracis-33563	281	2	trans	trans	PROPN
bracis-33563	281	3	.	.	PROPN
bracis-33563	282	1	knowl	knowl	PROPN
bracis-33563	282	2	.	.	PUNCT
bracis-33563	283	1	data	data	PROPN
bracis-33563	283	2	eng	eng	PROPN
bracis-33563	283	3	.	.	PROPN
bracis-33563	283	4	28(12	28(12	NUM
bracis-33563	283	5	)	)	PUNCT
bracis-33563	283	6	,	,	PUNCT
bracis-33563	283	7	3353–3366	3353–3366	NUM
bracis-33563	283	8	(	(	PUNCT
bracis-33563	283	9	2016	2016	NUM
bracis-33563	283	10	)	)	PUNCT
bracis-33563	283	11	article	article	NOUN
bracis-33563	283	12	  	  	SPACE
bracis-33563	283	13	math	math	NOUN
bracis-33563	283	14	  	  	SPACE
bracis-33563	283	15	google	google	PROPN
bracis-33563	283	16	scholar	scholar	NOUN
bracis-33563	283	17	  	  	SPACE
bracis-33563	283	18	webb	webb	PROPN
bracis-33563	283	19	,	,	PUNCT
bracis-33563	283	20	g.i	g.i	PROPN
bracis-33563	283	21	.	.	PROPN
bracis-33563	283	22	,	,	PUNCT
bracis-33563	283	23	hyde	hyde	PROPN
bracis-33563	283	24	,	,	PUNCT
bracis-33563	283	25	r.	r.	PROPN
bracis-33563	283	26	,	,	PUNCT
bracis-33563	283	27	cao	cao	PROPN
bracis-33563	283	28	,	,	PUNCT
bracis-33563	283	29	h.	h.	PROPN
bracis-33563	283	30	,	,	PUNCT
bracis-33563	283	31	nguyen	nguyen	PROPN
bracis-33563	283	32	,	,	PUNCT
bracis-33563	283	33	h.	h.	PROPN
bracis-33563	283	34	,	,	PUNCT
bracis-33563	283	35	petitjean	petitjean	PROPN
bracis-33563	283	36	,	,	PUNCT
bracis-33563	283	37	f.	f.	PROPN
bracis-33563	283	38	:	:	PUNCT
bracis-33563	283	39	characterizing	characterize	VERB
bracis-33563	283	40	concept	concept	NOUN
bracis-33563	283	41	drift	drift	NOUN
bracis-33563	283	42	.	.	PUNCT
bracis-33563	284	1	data	data	PROPN
bracis-33563	284	2	min	min	PROPN
bracis-33563	284	3	.	.	PROPN
bracis-33563	284	4	knowl	knowl	PROPN
bracis-33563	284	5	.	.	PUNCT
bracis-33563	285	1	discov	discov	NOUN
bracis-33563	285	2	.	.	PUNCT
bracis-33563	286	1	30(4	30(4	NUM
bracis-33563	286	2	)	)	PUNCT
bracis-33563	286	3	,	,	PUNCT
bracis-33563	286	4	964–994	964–994	NUM
bracis-33563	286	5	(	(	PUNCT
bracis-33563	286	6	2016	2016	NUM
bracis-33563	286	7	)	)	PUNCT
bracis-33563	286	8	article	article	NOUN
bracis-33563	286	9	  	  	SPACE
bracis-33563	286	10	mathscinet	mathscinet	NOUN
bracis-33563	286	11	  	  	SPACE
bracis-33563	286	12	math	math	NOUN
bracis-33563	286	13	  	  	SPACE
bracis-33563	286	14	google	google	PROPN
bracis-33563	286	15	scholar	scholar	NOUN
bracis-33563	286	16	  	  	SPACE
bracis-33563	286	17	download	download	NOUN
bracis-33563	286	18	references	reference	NOUN
bracis-33563	286	19	acknowledgments	acknowledgment	NOUN
bracis-33563	286	20	this	this	DET
bracis-33563	286	21	study	study	NOUN
bracis-33563	286	22	was	be	AUX
bracis-33563	286	23	supported	support	VERB
bracis-33563	286	24	by	by	ADP
bracis-33563	286	25	cepid	cepid	PROPN
bracis-33563	286	26	-	-	PUNCT
bracis-33563	286	27	cemeai	cemeai	NOUN
bracis-33563	286	28	-	-	PUNCT
bracis-33563	286	29	center	center	NOUN
bracis-33563	286	30	for	for	ADP
bracis-33563	286	31	mathematical	mathematical	ADJ
bracis-33563	286	32	sciences	science	NOUN
bracis-33563	286	33	applied	apply	VERB
bracis-33563	286	34	to	to	ADP
bracis-33563	286	35	industry	industry	NOUN
bracis-33563	286	36	(	(	PUNCT
bracis-33563	286	37	grant	grant	VERB
bracis-33563	286	38	2013/07375	2013/07375	NUM
bracis-33563	286	39	-	-	SYM
bracis-33563	286	40	0	0	NUM
bracis-33563	286	41	,	,	PUNCT
bracis-33563	286	42	são	são	PROPN
bracis-33563	286	43	paulo	paulo	PROPN
bracis-33563	286	44	research	research	PROPN
bracis-33563	286	45	foundation	foundation	NOUN
bracis-33563	286	46	-	-	PUNCT
bracis-33563	286	47	fapesp	fapesp	NOUN
bracis-33563	286	48	)	)	PUNCT
bracis-33563	286	49	.	.	PUNCT
bracis-33563	287	1	author	author	NOUN
bracis-33563	287	2	information	information	NOUN
bracis-33563	287	3	authors	author	NOUN
bracis-33563	287	4	and	and	CCONJ
bracis-33563	287	5	affiliations	affiliation	NOUN
bracis-33563	287	6	school	school	NOUN
bracis-33563	287	7	of	of	ADP
bracis-33563	287	8	arts	art	NOUN
bracis-33563	287	9	,	,	PUNCT
bracis-33563	287	10	sciences	science	NOUN
bracis-33563	287	11	and	and	CCONJ
bracis-33563	287	12	humanities	humanity	NOUN
bracis-33563	287	13	,	,	PUNCT
bracis-33563	287	14	university	university	PROPN
bracis-33563	287	15	of	of	ADP
bracis-33563	287	16	são	são	PROPN
bracis-33563	287	17	paulo	paulo	PROPN
bracis-33563	287	18	,	,	PUNCT
bracis-33563	287	19	são	são	PROPN
bracis-33563	287	20	paulo	paulo	PROPN
bracis-33563	287	21	,	,	PUNCT
bracis-33563	287	22	brazil	brazil	PROPN
bracis-33563	287	23	douglas	douglas	PROPN
bracis-33563	287	24	amorim	amorim	PROPN
bracis-33563	287	25	de	de	PROPN
bracis-33563	287	26	oliveira	oliveira	PROPN
bracis-33563	287	27	,	,	PUNCT
bracis-33563	287	28	 	 	SPACE
bracis-33563	287	29	karina	karina	PROPN
bracis-33563	287	30	valdivia	valdivia	PROPN
bracis-33563	287	31	delgado	delgado	PROPN
bracis-33563	287	32	 	 	SPACE
bracis-33563	287	33	&	&	CCONJ
bracis-33563	287	34	 	 	SPACE
bracis-33563	287	35	marcelo	marcelo	PROPN
bracis-33563	287	36	de	de	PROPN
bracis-33563	287	37	souza	souza	PROPN
bracis-33563	287	38	lauretto	lauretto	PROPN
bracis-33563	287	39	authors	author	NOUN
bracis-33563	287	40	douglas	douglas	PROPN
bracis-33563	287	41	amorim	amorim	PROPN
bracis-33563	287	42	de	de	PROPN
bracis-33563	287	43	oliveiraview	oliveiraview	PROPN
bracis-33563	287	44	author	author	NOUN
bracis-33563	287	45	publications	publication	NOUN
bracis-33563	287	46	search	search	NOUN
bracis-33563	287	47	author	author	NOUN
bracis-33563	287	48	on	on	ADP
bracis-33563	287	49	:	:	PUNCT
bracis-33563	287	50	pubmed	pubmed	PROPN
bracis-33563	287	51	 	 	SPACE
bracis-33563	287	52	google	google	PROPN
bracis-33563	287	53	scholar	scholar	PROPN
bracis-33563	287	54	karina	karina	PROPN
bracis-33563	287	55	valdivia	valdivia	PROPN
bracis-33563	287	56	delgadoview	delgadoview	PROPN
bracis-33563	287	57	author	author	NOUN
bracis-33563	287	58	publications	publication	NOUN
bracis-33563	287	59	search	search	NOUN
bracis-33563	287	60	author	author	NOUN
bracis-33563	287	61	on	on	ADP
bracis-33563	287	62	:	:	PUNCT
bracis-33563	287	63	pubmed	pubmed	PROPN
bracis-33563	287	64	 	 	SPACE
bracis-33563	287	65	google	google	PROPN
bracis-33563	287	66	scholar	scholar	PROPN
bracis-33563	287	67	marcelo	marcelo	PROPN
bracis-33563	287	68	de	de	PROPN
bracis-33563	287	69	souza	souza	PROPN
bracis-33563	287	70	laurettoview	laurettoview	PROPN
bracis-33563	287	71	author	author	NOUN
bracis-33563	287	72	publications	publication	NOUN
bracis-33563	287	73	search	search	NOUN
bracis-33563	287	74	author	author	NOUN
bracis-33563	287	75	on	on	ADP
bracis-33563	287	76	:	:	PUNCT
bracis-33563	287	77	pubmed	pubmed	PROPN
bracis-33563	287	78	 	 	SPACE
bracis-33563	287	79	google	google	PROPN
bracis-33563	287	80	scholar	scholar	NOUN
bracis-33563	287	81	corresponding	correspond	VERB
bracis-33563	287	82	author	author	NOUN
bracis-33563	287	83	correspondence	correspondence	NOUN
bracis-33563	287	84	to	to	ADP
bracis-33563	287	85	douglas	douglas	PROPN
bracis-33563	287	86	amorim	amorim	PROPN
bracis-33563	287	87	de	de	PROPN
bracis-33563	287	88	oliveira	oliveira	PROPN
bracis-33563	287	89	.	.	PUNCT
bracis-33563	288	1	editor	editor	NOUN
bracis-33563	288	2	information	information	NOUN
bracis-33563	288	3	editors	editor	NOUN
bracis-33563	288	4	and	and	CCONJ
bracis-33563	288	5	affiliations	affiliation	NOUN
bracis-33563	288	6	universidade	universidade	VERB
bracis-33563	288	7	federal	federal	PROPN
bracis-33563	288	8	fluminense	fluminense	PROPN
bracis-33563	288	9	,	,	PUNCT
bracis-33563	288	10	niterói	niterói	PROPN
bracis-33563	288	11	,	,	PUNCT
bracis-33563	288	12	brazil	brazil	PROPN
bracis-33563	288	13	aline	aline	PROPN
bracis-33563	288	14	paes	paes	PROPN
bracis-33563	288	15	instituto	instituto	PROPN
bracis-33563	288	16	tecnológico	tecnológico	PROPN
bracis-33563	288	17	de	de	PROPN
bracis-33563	288	18	aeronáutica	aeronáutica	PROPN
bracis-33563	288	19	,	,	PUNCT
bracis-33563	288	20	são	são	PROPN
bracis-33563	288	21	josé	josé	PROPN
bracis-33563	288	22	dos	dos	PROPN
bracis-33563	288	23	campos	campos	PROPN
bracis-33563	288	24	,	,	PUNCT
bracis-33563	288	25	brazil	brazil	PROPN
bracis-33563	288	26	filipe	filipe	PROPN
bracis-33563	288	27	a.	a.	PROPN
bracis-33563	288	28	n.	n.	PROPN
bracis-33563	288	29	verri	verri	PROPN
bracis-33563	288	30	rights	right	NOUN
bracis-33563	288	31	and	and	CCONJ
bracis-33563	288	32	permissions	permission	NOUN
bracis-33563	288	33	reprints	reprint	NOUN
bracis-33563	288	34	and	and	CCONJ
bracis-33563	288	35	permissions	permission	VERB
bracis-33563	288	36	copyright	copyright	NOUN
bracis-33563	288	37	information	information	NOUN
bracis-33563	288	38	©	©	ADP
bracis-33563	288	39	2025	2025	NUM
bracis-33563	288	40	the	the	DET
bracis-33563	288	41	author(s	author(s	NOUN
bracis-33563	288	42	)	)	PUNCT
bracis-33563	288	43	,	,	PUNCT
bracis-33563	288	44	under	under	ADP
bracis-33563	288	45	exclusive	exclusive	ADJ
bracis-33563	288	46	license	license	NOUN
bracis-33563	288	47	to	to	ADP
bracis-33563	288	48	springer	springer	NOUN
bracis-33563	288	49	nature	nature	PROPN
bracis-33563	288	50	switzerland	switzerland	PROPN
bracis-33563	288	51	ag	ag	PROPN
bracis-33563	288	52	about	about	ADP
bracis-33563	288	53	this	this	DET
bracis-33563	288	54	paper	paper	NOUN
bracis-33563	288	55	cite	cite	VERB
bracis-33563	288	56	this	this	DET
bracis-33563	288	57	paper	paper	NOUN
bracis-33563	288	58	de	de	PROPN
bracis-33563	288	59	oliveira	oliveira	PROPN
bracis-33563	288	60	,	,	PUNCT
bracis-33563	288	61	d.a	d.a	PROPN
bracis-33563	288	62	.	.	PROPN
bracis-33563	288	63	,	,	PUNCT
bracis-33563	288	64	delgado	delgado	PROPN
bracis-33563	288	65	,	,	PUNCT
bracis-33563	288	66	k.v	k.v	PROPN
bracis-33563	288	67	.	.	PROPN
bracis-33563	288	68	,	,	PUNCT
bracis-33563	288	69	lauretto	lauretto	NOUN
bracis-33563	288	70	,	,	PUNCT
bracis-33563	288	71	m.d.s	m.d.s	X
bracis-33563	288	72	.	.	PUNCT
bracis-33563	289	1	(	(	PUNCT
bracis-33563	289	2	2025	2025	NUM
bracis-33563	289	3	)	)	PUNCT
bracis-33563	289	4	.	.	PUNCT
bracis-33563	290	1	baswe	baswe	NOUN
bracis-33563	290	2	:	:	PUNCT
bracis-33563	290	3	balanced	balanced	ADJ
bracis-33563	290	4	accuracy	accuracy	NOUN
bracis-33563	290	5	-	-	PUNCT
bracis-33563	290	6	based	base	VERB
bracis-33563	290	7	sliding	slide	VERB
bracis-33563	290	8	window	window	NOUN
bracis-33563	290	9	ensemble	ensemble	ADJ
bracis-33563	290	10	for	for	ADP
bracis-33563	290	11	 	 	SPACE
bracis-33563	290	12	classification	classification	NOUN
bracis-33563	290	13	in	in	ADP
bracis-33563	290	14	 	 	SPACE
bracis-33563	290	15	imbalanced	imbalanced	ADJ
bracis-33563	290	16	data	data	NOUN
bracis-33563	290	17	streams	stream	NOUN
bracis-33563	290	18	with	with	ADP
bracis-33563	290	19	 	 	SPACE
bracis-33563	290	20	concept	concept	NOUN
bracis-33563	290	21	drift	drift	NOUN
bracis-33563	290	22	.	.	PUNCT
bracis-33563	291	1	in	in	ADP
bracis-33563	291	2	:	:	PUNCT
bracis-33563	291	3	paes	paes	PROPN
bracis-33563	291	4	,	,	PUNCT
bracis-33563	291	5	a.	a.	PROPN
bracis-33563	291	6	,	,	PUNCT
bracis-33563	291	7	verri	verri	NOUN
bracis-33563	291	8	,	,	PUNCT
bracis-33563	291	9	f.a.n	f.a.n	ADJ
bracis-33563	291	10	.	.	PUNCT
bracis-33563	291	11	(	(	PUNCT
bracis-33563	291	12	eds	ed	NOUN
bracis-33563	291	13	)	)	PUNCT
bracis-33563	291	14	intelligent	intelligent	ADJ
bracis-33563	291	15	systems	system	NOUN
bracis-33563	291	16	.	.	PUNCT
bracis-33563	291	17	bracis	bracis	PROPN
bracis-33563	291	18	2024	2024	NUM
bracis-33563	291	19	.	.	PUNCT
bracis-33563	292	1	lecture	lecture	NOUN
bracis-33563	292	2	notes	note	NOUN
bracis-33563	292	3	in	in	ADP
bracis-33563	292	4	computer	computer	NOUN
bracis-33563	292	5	science	science	NOUN
bracis-33563	292	6	(	(	PUNCT
bracis-33563	292	7	)	)	PUNCT
bracis-33563	292	8	,	,	PUNCT
bracis-33563	292	9	vol	vol	NOUN
bracis-33563	292	10	15412	15412	NUM
bracis-33563	292	11	.	.	PUNCT
bracis-33563	293	1	springer	springer	NOUN
bracis-33563	293	2	,	,	PUNCT
bracis-33563	293	3	cham	cham	NOUN
bracis-33563	293	4	.	.	PUNCT
bracis-33563	294	1	https://doi.org/10.1007/978-3-031-79029-4_16	https://doi.org/10.1007/978-3-031-79029-4_16	NOUN
bracis-33563	294	2	download	download	NOUN
bracis-33563	294	3	citation	citation	NOUN
bracis-33563	294	4	.ris	.ris	PUNCT
bracis-33563	295	1	.enw	.enw	PROPN
bracis-33563	295	2	.bib	.bib	PUNCT
bracis-33563	296	1	doi	doi	PROPN
bracis-33563	296	2	:	:	PUNCT
bracis-33563	296	3	https://doi.org/10.1007/978-3-031-79029-4_16	https://doi.org/10.1007/978-3-031-79029-4_16	NOUN
bracis-33563	296	4	published	publish	VERB
bracis-33563	296	5	:	:	PUNCT
bracis-33563	296	6	30	30	NUM
bracis-33563	296	7	january	january	PROPN
bracis-33563	296	8	2025	2025	NUM
bracis-33563	296	9	publisher	publisher	NOUN
bracis-33563	296	10	name	name	NOUN
bracis-33563	296	11	:	:	PUNCT
bracis-33563	296	12	springer	springer	NOUN
bracis-33563	296	13	,	,	PUNCT
bracis-33563	296	14	cham	cham	PROPN
bracis-33563	296	15	print	print	PROPN
bracis-33563	296	16	isbn	isbn	PROPN
bracis-33563	296	17	:	:	PUNCT
bracis-33563	296	18	978	978	NUM
bracis-33563	296	19	-	-	SYM
bracis-33563	296	20	3	3	NUM
bracis-33563	296	21	-	-	PUNCT
bracis-33563	296	22	031	031	NUM
bracis-33563	296	23	-	-	PUNCT
bracis-33563	296	24	79028	79028	NUM
bracis-33563	296	25	-	-	SYM
bracis-33563	296	26	7	7	NUM
bracis-33563	296	27	online	online	ADJ
bracis-33563	296	28	isbn	isbn	NOUN
bracis-33563	296	29	:	:	PUNCT
bracis-33563	296	30	978	978	NUM
bracis-33563	296	31	-	-	SYM
bracis-33563	296	32	3	3	NUM
bracis-33563	296	33	-	-	PUNCT
bracis-33563	296	34	031	031	NUM
bracis-33563	296	35	-	-	PUNCT
bracis-33563	296	36	79029	79029	NUM
bracis-33563	296	37	-	-	SYM
bracis-33563	296	38	4	4	NUM
bracis-33563	296	39	ebook	ebook	NOUN
bracis-33563	296	40	packages	package	NOUN
bracis-33563	296	41	:	:	PUNCT
bracis-33563	296	42	computer	computer	NOUN
bracis-33563	296	43	sciencecomputer	sciencecomputer	NOUN
bracis-33563	296	44	science	science	NOUN
bracis-33563	296	45	(	(	PUNCT
bracis-33563	296	46	r0	r0	NOUN
bracis-33563	296	47	)	)	PUNCT
bracis-33563	296	48	share	share	VERB
bracis-33563	296	49	this	this	DET
bracis-33563	296	50	paper	paper	NOUN
bracis-33563	296	51	anyone	anyone	PRON
bracis-33563	296	52	you	you	PRON
bracis-33563	296	53	share	share	VERB
bracis-33563	296	54	the	the	DET
bracis-33563	296	55	following	follow	VERB
bracis-33563	296	56	link	link	NOUN
bracis-33563	296	57	with	with	ADP
bracis-33563	296	58	will	will	AUX
bracis-33563	296	59	be	be	AUX
bracis-33563	296	60	able	able	ADJ
bracis-33563	296	61	to	to	PART
bracis-33563	296	62	read	read	VERB
bracis-33563	296	63	this	this	DET
bracis-33563	296	64	content	content	NOUN
bracis-33563	296	65	:	:	PUNCT
bracis-33563	296	66	get	get	VERB
bracis-33563	296	67	shareable	shareable	ADJ
bracis-33563	296	68	linksorry	linksorry	NOUN
bracis-33563	296	69	,	,	PUNCT
bracis-33563	296	70	a	a	DET
bracis-33563	296	71	shareable	shareable	ADJ
bracis-33563	296	72	link	link	NOUN
bracis-33563	296	73	is	be	AUX
bracis-33563	296	74	not	not	PART
bracis-33563	296	75	currently	currently	ADV
bracis-33563	296	76	available	available	ADJ
bracis-33563	296	77	for	for	ADP
bracis-33563	296	78	this	this	DET
bracis-33563	296	79	article	article	NOUN
bracis-33563	296	80	.	.	PUNCT
bracis-33563	297	1	copy	copy	VERB
bracis-33563	297	2	shareable	shareable	ADJ
bracis-33563	297	3	link	link	NOUN
bracis-33563	297	4	to	to	PART
bracis-33563	297	5	clipboard	clipboard	NOUN
bracis-33563	297	6	provided	provide	VERB
bracis-33563	297	7	by	by	ADP
bracis-33563	297	8	the	the	DET
bracis-33563	297	9	springer	springer	NOUN
bracis-33563	297	10	nature	nature	PROPN
bracis-33563	297	11	sharedit	sharedit	PROPN
bracis-33563	297	12	content	content	NOUN
bracis-33563	297	13	-	-	PUNCT
bracis-33563	297	14	sharing	share	VERB
bracis-33563	297	15	initiative	initiative	NOUN
bracis-33563	297	16	keywords	keyword	NOUN
bracis-33563	297	17	ensemble	ensemble	ADJ
bracis-33563	297	18	concept	concept	NOUN
bracis-33563	297	19	drift	drift	NOUN
bracis-33563	297	20	imbalanced	imbalance	VERB
bracis-33563	297	21	datasets	dataset	NOUN
bracis-33563	297	22	publish	publish	VERB
bracis-33563	297	23	with	with	ADP
bracis-33563	297	24	us	us	PROPN
bracis-33563	297	25	policies	policy	NOUN
bracis-33563	297	26	and	and	CCONJ
bracis-33563	297	27	ethics	ethic	NOUN
bracis-33563	297	28	search	search	NOUN
bracis-33563	297	29	search	search	NOUN
bracis-33563	297	30	by	by	ADP
bracis-33563	297	31	keyword	keyword	NOUN
bracis-33563	297	32	or	or	CCONJ
bracis-33563	297	33	author	author	NOUN
bracis-33563	297	34	search	search	NOUN
bracis-33563	297	35	navigation	navigation	NOUN
bracis-33563	297	36	find	find	VERB
bracis-33563	297	37	a	a	DET
bracis-33563	297	38	journal	journal	NOUN
bracis-33563	297	39	publish	publish	VERB
bracis-33563	297	40	with	with	ADP
bracis-33563	297	41	us	we	PRON
bracis-33563	297	42	track	track	VERB
bracis-33563	297	43	your	your	PRON
bracis-33563	297	44	research	research	NOUN
bracis-33563	297	45	discover	discover	VERB
bracis-33563	297	46	content	content	NOUN
bracis-33563	297	47	journals	journal	NOUN
bracis-33563	297	48	a	a	DET
bracis-33563	297	49	-	-	PUNCT
bracis-33563	297	50	z	z	NOUN
bracis-33563	297	51	books	book	NOUN
bracis-33563	297	52	a	a	DET
bracis-33563	297	53	-	-	PUNCT
bracis-33563	297	54	z	z	NOUN
bracis-33563	297	55	publish	publish	NOUN
bracis-33563	297	56	with	with	ADP
bracis-33563	297	57	us	us	PROPN
bracis-33563	297	58	journal	journal	PROPN
bracis-33563	297	59	finder	finder	PROPN
bracis-33563	297	60	publish	publish	VERB
bracis-33563	297	61	your	your	PRON
bracis-33563	297	62	research	research	NOUN
bracis-33563	297	63	language	language	NOUN
bracis-33563	297	64	editing	edit	VERB
bracis-33563	297	65	open	open	ADJ
bracis-33563	297	66	access	access	NOUN
bracis-33563	297	67	publishing	publishing	NOUN
bracis-33563	297	68	products	product	NOUN
bracis-33563	297	69	and	and	CCONJ
bracis-33563	297	70	services	service	NOUN
bracis-33563	297	71	our	our	PRON
bracis-33563	297	72	products	product	NOUN
bracis-33563	297	73	librarians	librarian	VERB
bracis-33563	297	74	societies	society	NOUN
bracis-33563	297	75	partners	partner	NOUN
bracis-33563	297	76	and	and	CCONJ
bracis-33563	297	77	advertisers	advertiser	NOUN
bracis-33563	297	78	our	our	PRON
bracis-33563	297	79	brands	brand	NOUN
bracis-33563	297	80	springer	springer	NOUN
bracis-33563	297	81	nature	nature	PROPN
bracis-33563	297	82	portfolio	portfolio	PROPN
bracis-33563	297	83	bmc	bmc	PROPN
bracis-33563	297	84	palgrave	palgrave	PROPN
bracis-33563	297	85	macmillan	macmillan	PROPN
bracis-33563	297	86	apress	apress	PROPN
bracis-33563	297	87	discover	discover	VERB
bracis-33563	297	88	your	your	PRON
bracis-33563	297	89	privacy	privacy	NOUN
bracis-33563	297	90	choices	choice	NOUN
bracis-33563	297	91	/	/	SYM
bracis-33563	297	92	manage	manage	NOUN
bracis-33563	297	93	cookies	cookie	NOUN
bracis-33563	297	94	your	your	PRON
bracis-33563	297	95	us	us	PROPN
bracis-33563	298	1	state	state	NOUN
bracis-33563	298	2	privacy	privacy	NOUN
bracis-33563	298	3	rights	right	NOUN
bracis-33563	298	4	accessibility	accessibility	NOUN
bracis-33563	298	5	statement	statement	NOUN
bracis-33563	298	6	terms	term	NOUN
bracis-33563	298	7	and	and	CCONJ
bracis-33563	298	8	conditions	condition	NOUN
bracis-33563	298	9	privacy	privacy	NOUN
bracis-33563	298	10	policy	policy	NOUN
bracis-33563	298	11	help	help	NOUN
bracis-33563	298	12	and	and	CCONJ
bracis-33563	298	13	support	support	VERB
bracis-33563	298	14	legal	legal	ADJ
bracis-33563	298	15	notice	notice	NOUN
bracis-33563	298	16	cancel	cancel	VERB
bracis-33563	298	17	contracts	contract	NOUN
bracis-33563	298	18	here	here	ADV
bracis-33563	298	19	129.74.145.123	129.74.145.123	NUM
bracis-33563	298	20	hesburgh	hesburgh	PROPN
bracis-33563	298	21	library	library	PROPN
bracis-33563	298	22	er	er	INTJ
bracis-33563	298	23	unit	unit	NOUN
bracis-33563	298	24	(	(	PUNCT
bracis-33563	298	25	3005732405	3005732405	NUM
bracis-33563	298	26	)	)	PUNCT
bracis-33563	298	27	northeast	northeast	ADJ
bracis-33563	298	28	research	research	NOUN
bracis-33563	298	29	libraries	library	NOUN
bracis-33563	298	30	(	(	PUNCT
bracis-33563	298	31	nerl	nerl	PROPN
bracis-33563	298	32	)	)	PUNCT
bracis-33563	298	33	(	(	PUNCT
bracis-33563	298	34	8200828607	8200828607	NUM
bracis-33563	298	35	)	)	PUNCT
bracis-33563	298	36	nerl	nerl	VERB
bracis-33563	298	37	ta	ta	X
bracis-33563	298	38	account	account	NOUN
bracis-33563	298	39	(	(	PUNCT
bracis-33563	298	40	3006206169	3006206169	NUM
bracis-33563	298	41	)	)	PUNCT
bracis-33563	298	42	university	university	NOUN
bracis-33563	298	43	of	of	ADP
bracis-33563	298	44	notre	notre	PROPN
bracis-33563	298	45	dame	dame	PROPN
bracis-33563	298	46	hesburgh	hesburgh	PROPN
bracis-33563	298	47	library	library	NOUN
bracis-33563	298	48	(	(	PUNCT
bracis-33563	298	49	3000184373	3000184373	NUM
bracis-33563	298	50	)	)	PUNCT
bracis-33563	299	1	©	©	ADP
bracis-33563	299	2	2025	2025	NUM
bracis-33563	299	3	springer	springer	NOUN
bracis-33563	299	4	nature	nature	NOUN