id	sid	tid	token	lemma	pos
bracis-19046	1	1	classifying	classify	VERB
bracis-19046	1	2	potentially	potentially	ADV
bracis-19046	1	3	unbounded	unbounded	ADJ
bracis-19046	1	4	hierarchical	hierarchical	ADJ
bracis-19046	1	5	data	datum	NOUN
bracis-19046	1	6	streams	stream	NOUN
bracis-19046	1	7	with	with	ADP
bracis-19046	1	8	incremental	incremental	ADJ
bracis-19046	1	9	gaussian	gaussian	ADJ
bracis-19046	1	10	naive	naive	ADJ
bracis-19046	1	11	bayes	bayes	NOUN
bracis-19046	1	12	|	|	ADV
bracis-19046	1	13	springer	springer	NOUN
bracis-19046	1	14	nature	nature	PROPN
bracis-19046	1	15	link	link	PROPN
bracis-19046	1	16	(	(	PUNCT
bracis-19046	1	17	formerly	formerly	ADV
bracis-19046	1	18	springerlink	springerlink	NOUN
bracis-19046	1	19	)	)	PUNCT
bracis-19046	1	20	skip	skip	VERB
bracis-19046	1	21	to	to	ADP
bracis-19046	1	22	main	main	ADJ
bracis-19046	1	23	content	content	NOUN
bracis-19046	1	24	advertisement	advertisement	NOUN
bracis-19046	1	25	log	log	NOUN
bracis-19046	1	26	in	in	ADP
bracis-19046	1	27	menu	menu	NOUN
bracis-19046	1	28	find	find	VERB
bracis-19046	1	29	a	a	DET
bracis-19046	1	30	journal	journal	NOUN
bracis-19046	1	31	publish	publish	VERB
bracis-19046	1	32	with	with	ADP
bracis-19046	1	33	us	we	PRON
bracis-19046	1	34	track	track	VERB
bracis-19046	1	35	your	your	PRON
bracis-19046	1	36	research	research	NOUN
bracis-19046	1	37	search	search	NOUN
bracis-19046	1	38	cart	cart	NOUN
bracis-19046	1	39	home	home	NOUN
bracis-19046	1	40	intelligent	intelligent	ADJ
bracis-19046	1	41	systems	system	NOUN
bracis-19046	1	42	conference	conference	NOUN
bracis-19046	1	43	paper	paper	NOUN
bracis-19046	1	44	classifying	classify	VERB
bracis-19046	1	45	potentially	potentially	ADV
bracis-19046	1	46	unbounded	unbounded	ADJ
bracis-19046	1	47	hierarchical	hierarchical	ADJ
bracis-19046	1	48	data	datum	NOUN
bracis-19046	1	49	streams	stream	NOUN
bracis-19046	1	50	with	with	ADP
bracis-19046	1	51	incremental	incremental	ADJ
bracis-19046	1	52	gaussian	gaussian	ADJ
bracis-19046	1	53	naive	naive	ADJ
bracis-19046	1	54	bayes	bayes	PROPN
bracis-19046	1	55	conference	conference	PROPN
bracis-19046	1	56	paper	paper	NOUN
bracis-19046	1	57	first	first	ADV
bracis-19046	1	58	online	online	ADV
bracis-19046	1	59	:	:	PUNCT
bracis-19046	1	60	28	28	NUM
bracis-19046	1	61	november	november	NOUN
bracis-19046	1	62	2021	2021	NUM
bracis-19046	2	1	pp	pp	PRON
bracis-19046	2	2	421–436	421–436	NUM
bracis-19046	2	3	cite	cite	VERB
bracis-19046	2	4	this	this	DET
bracis-19046	2	5	conference	conference	NOUN
bracis-19046	2	6	paper	paper	NOUN
bracis-19046	2	7	access	access	NOUN
bracis-19046	2	8	provided	provide	VERB
bracis-19046	2	9	by	by	ADP
bracis-19046	2	10	university	university	PROPN
bracis-19046	2	11	of	of	ADP
bracis-19046	2	12	notre	notre	PROPN
bracis-19046	2	13	dame	dame	PROPN
bracis-19046	2	14	hesburgh	hesburgh	PROPN
bracis-19046	2	15	library	library	PROPN
bracis-19046	2	16	download	download	PROPN
bracis-19046	2	17	book	book	NOUN
bracis-19046	2	18	pdf	pdf	PROPN
bracis-19046	2	19	download	download	NOUN
bracis-19046	2	20	book	book	NOUN
bracis-19046	2	21	epub	epub	PROPN
bracis-19046	2	22	intelligent	intelligent	ADJ
bracis-19046	2	23	systems	system	NOUN
bracis-19046	2	24	(	(	PUNCT
bracis-19046	2	25	bracis	bracis	NOUN
bracis-19046	2	26	2021	2021	NUM
bracis-19046	2	27	)	)	PUNCT
bracis-19046	2	28	classifying	classify	VERB
bracis-19046	2	29	potentially	potentially	ADV
bracis-19046	2	30	unbounded	unbounded	ADJ
bracis-19046	2	31	hierarchical	hierarchical	ADJ
bracis-19046	2	32	data	datum	NOUN
bracis-19046	2	33	streams	stream	NOUN
bracis-19046	2	34	with	with	ADP
bracis-19046	2	35	incremental	incremental	ADJ
bracis-19046	2	36	gaussian	gaussian	ADJ
bracis-19046	2	37	naive	naive	ADJ
bracis-19046	2	38	bayes	bayes	PROPN
bracis-19046	2	39	download	download	NOUN
bracis-19046	2	40	book	book	NOUN
bracis-19046	2	41	pdf	pdf	PROPN
bracis-19046	2	42	download	download	NOUN
bracis-19046	2	43	book	book	PROPN
bracis-19046	2	44	epub	epub	PROPN
bracis-19046	2	45	eduardo	eduardo	PROPN
bracis-19046	2	46	tieppo	tieppo	PROPN
bracis-19046	2	47	  	  	SPACE
bracis-19046	2	48	orcid	orcid	NOUN
bracis-19046	2	49	:	:	PUNCT
bracis-19046	2	50	orcid.org/0000-0001-8271-021410,11	orcid.org/0000-0001-8271-021410,11	PROPN
bracis-19046	2	51	,	,	PUNCT
bracis-19046	2	52	jean	jean	PROPN
bracis-19046	2	53	paul	paul	PROPN
bracis-19046	2	54	barddal	barddal	PROPN
bracis-19046	2	55	  	  	SPACE
bracis-19046	2	56	orcid	orcid	NOUN
bracis-19046	2	57	:	:	PUNCT
bracis-19046	2	58	orcid.org/0000-0001-9928-854x10	orcid.org/0000-0001-9928-854x10	PROPN
bracis-19046	2	59	&	&	CCONJ
bracis-19046	2	60	júlio	júlio	PROPN
bracis-19046	2	61	cesar	cesar	PROPN
bracis-19046	2	62	nievola	nievola	PROPN
bracis-19046	2	63	  	  	SPACE
bracis-19046	2	64	orcid	orcid	PROPN
bracis-19046	2	65	:	:	PUNCT
bracis-19046	2	66	orcid.org/0000-0002-2212-449910	orcid.org/0000-0002-2212-449910	NOUN
bracis-19046	2	67	  	  	SPACE
bracis-19046	2	68	part	part	NOUN
bracis-19046	2	69	of	of	ADP
bracis-19046	2	70	the	the	DET
bracis-19046	2	71	book	book	NOUN
bracis-19046	2	72	series	series	NOUN
bracis-19046	2	73	:	:	PUNCT
bracis-19046	2	74	lecture	lecture	NOUN
bracis-19046	2	75	notes	note	NOUN
bracis-19046	2	76	in	in	ADP
bracis-19046	2	77	computer	computer	NOUN
bracis-19046	2	78	science	science	NOUN
bracis-19046	2	79	(	(	PUNCT
bracis-19046	2	80	(	(	PUNCT
bracis-19046	2	81	lnai	lnai	ADJ
bracis-19046	2	82	,	,	PUNCT
bracis-19046	2	83	volume	volume	NOUN
bracis-19046	2	84	13073	13073	NUM
bracis-19046	2	85	)	)	PUNCT
bracis-19046	2	86	)	)	PUNCT
bracis-19046	2	87	included	include	VERB
bracis-19046	2	88	in	in	ADP
bracis-19046	2	89	the	the	DET
bracis-19046	2	90	following	follow	VERB
bracis-19046	2	91	conference	conference	NOUN
bracis-19046	2	92	series	series	NOUN
bracis-19046	2	93	:	:	PUNCT
bracis-19046	2	94	brazilian	brazilian	ADJ
bracis-19046	2	95	conference	conference	NOUN
bracis-19046	2	96	on	on	ADP
bracis-19046	2	97	intelligent	intelligent	ADJ
bracis-19046	2	98	systems	system	NOUN
bracis-19046	2	99	741	741	NUM
bracis-19046	2	100	accesses	access	NOUN
bracis-19046	2	101	6	6	NUM
bracis-19046	2	102	citations	citation	NOUN
bracis-19046	2	103	abstract	abstract	ADJ
bracis-19046	2	104	hierarchical	hierarchical	ADJ
bracis-19046	2	105	data	datum	NOUN
bracis-19046	2	106	stream	stream	NOUN
bracis-19046	2	107	classification	classification	NOUN
bracis-19046	2	108	inherits	inherit	VERB
bracis-19046	2	109	the	the	DET
bracis-19046	2	110	properties	property	NOUN
bracis-19046	2	111	and	and	CCONJ
bracis-19046	2	112	constraints	constraint	NOUN
bracis-19046	2	113	of	of	ADP
bracis-19046	2	114	hierarchical	hierarchical	ADJ
bracis-19046	2	115	classification	classification	NOUN
bracis-19046	2	116	and	and	CCONJ
bracis-19046	2	117	data	datum	NOUN
bracis-19046	2	118	stream	stream	NOUN
bracis-19046	2	119	classification	classification	NOUN
bracis-19046	2	120	concomitantly	concomitantly	ADV
bracis-19046	2	121	.	.	PUNCT
bracis-19046	3	1	therefore	therefore	ADV
bracis-19046	3	2	,	,	PUNCT
bracis-19046	3	3	it	it	PRON
bracis-19046	3	4	requires	require	VERB
bracis-19046	3	5	novel	novel	ADJ
bracis-19046	3	6	approaches	approach	NOUN
bracis-19046	3	7	that	that	PRON
bracis-19046	3	8	(	(	PUNCT
bracis-19046	3	9	i	i	NOUN
bracis-19046	3	10	)	)	PUNCT
bracis-19046	3	11	can	can	AUX
bracis-19046	3	12	handle	handle	VERB
bracis-19046	3	13	class	class	NOUN
bracis-19046	3	14	hierarchies	hierarchy	NOUN
bracis-19046	3	15	,	,	PUNCT
bracis-19046	3	16	(	(	PUNCT
bracis-19046	3	17	ii	ii	NOUN
bracis-19046	3	18	)	)	PUNCT
bracis-19046	3	19	can	can	AUX
bracis-19046	3	20	be	be	AUX
bracis-19046	3	21	updated	update	VERB
bracis-19046	3	22	over	over	ADP
bracis-19046	3	23	time	time	NOUN
bracis-19046	3	24	,	,	PUNCT
bracis-19046	3	25	and	and	CCONJ
bracis-19046	3	26	(	(	PUNCT
bracis-19046	3	27	iii	iii	X
bracis-19046	3	28	)	)	PUNCT
bracis-19046	3	29	are	be	AUX
bracis-19046	3	30	computationally	computationally	ADV
bracis-19046	3	31	light	light	ADJ
bracis-19046	3	32	-	-	PUNCT
bracis-19046	3	33	weighted	weight	VERB
bracis-19046	3	34	regarding	regard	VERB
bracis-19046	3	35	processing	processing	NOUN
bracis-19046	3	36	time	time	NOUN
bracis-19046	3	37	and	and	CCONJ
bracis-19046	3	38	memory	memory	NOUN
bracis-19046	3	39	usage	usage	NOUN
bracis-19046	3	40	.	.	PUNCT
bracis-19046	4	1	in	in	ADP
bracis-19046	4	2	this	this	DET
bracis-19046	4	3	study	study	NOUN
bracis-19046	4	4	,	,	PUNCT
bracis-19046	4	5	we	we	PRON
bracis-19046	4	6	propose	propose	VERB
bracis-19046	4	7	the	the	DET
bracis-19046	4	8	gaussian	gaussian	ADJ
bracis-19046	4	9	naive	naive	ADJ
bracis-19046	4	10	bayes	bayes	NOUN
bracis-19046	4	11	for	for	ADP
bracis-19046	4	12	hierarchical	hierarchical	ADJ
bracis-19046	4	13	data	datum	NOUN
bracis-19046	4	14	streams	stream	NOUN
bracis-19046	4	15	(	(	PUNCT
bracis-19046	4	16	gnb	gnb	PROPN
bracis-19046	4	17	-	-	PUNCT
bracis-19046	4	18	hds	hds	PROPN
bracis-19046	4	19	)	)	PUNCT
bracis-19046	4	20	method	method	NOUN
bracis-19046	4	21	:	:	PUNCT
bracis-19046	4	22	an	an	DET
bracis-19046	4	23	incremental	incremental	ADJ
bracis-19046	4	24	gaussian	gaussian	ADJ
bracis-19046	4	25	naive	naive	ADJ
bracis-19046	4	26	bayes	bayes	NOUN
bracis-19046	4	27	for	for	ADP
bracis-19046	4	28	classifying	classify	VERB
bracis-19046	4	29	potentially	potentially	ADV
bracis-19046	4	30	unbounded	unbounded	ADJ
bracis-19046	4	31	hierarchical	hierarchical	ADJ
bracis-19046	4	32	data	datum	NOUN
bracis-19046	4	33	streams	stream	NOUN
bracis-19046	4	34	.	.	PUNCT
bracis-19046	5	1	gnb	gnb	PROPN
bracis-19046	5	2	-	-	PUNCT
bracis-19046	5	3	hds	hds	PROPN
bracis-19046	5	4	uses	use	VERB
bracis-19046	5	5	statistical	statistical	ADJ
bracis-19046	5	6	summaries	summary	NOUN
bracis-19046	5	7	of	of	ADP
bracis-19046	5	8	the	the	DET
bracis-19046	5	9	data	datum	NOUN
bracis-19046	5	10	stream	stream	NOUN
bracis-19046	5	11	instead	instead	ADV
bracis-19046	5	12	of	of	ADP
bracis-19046	5	13	storing	store	VERB
bracis-19046	5	14	actual	actual	ADJ
bracis-19046	5	15	instances	instance	NOUN
bracis-19046	5	16	.	.	PUNCT
bracis-19046	6	1	these	these	DET
bracis-19046	6	2	statistical	statistical	ADJ
bracis-19046	6	3	summaries	summary	NOUN
bracis-19046	6	4	allow	allow	VERB
bracis-19046	6	5	more	more	ADV
bracis-19046	6	6	efficient	efficient	ADJ
bracis-19046	6	7	data	datum	NOUN
bracis-19046	6	8	storage	storage	NOUN
bracis-19046	6	9	,	,	PUNCT
bracis-19046	6	10	keep	keep	VERB
bracis-19046	6	11	constant	constant	ADJ
bracis-19046	6	12	computational	computational	ADJ
bracis-19046	6	13	time	time	NOUN
bracis-19046	6	14	and	and	CCONJ
bracis-19046	6	15	memory	memory	NOUN
bracis-19046	6	16	,	,	PUNCT
bracis-19046	6	17	and	and	CCONJ
bracis-19046	6	18	calculate	calculate	VERB
bracis-19046	6	19	the	the	DET
bracis-19046	6	20	probability	probability	NOUN
bracis-19046	6	21	of	of	ADP
bracis-19046	6	22	an	an	DET
bracis-19046	6	23	instance	instance	NOUN
bracis-19046	6	24	belonging	belong	VERB
bracis-19046	6	25	to	to	ADP
bracis-19046	6	26	a	a	DET
bracis-19046	6	27	specific	specific	ADJ
bracis-19046	6	28	class	class	NOUN
bracis-19046	6	29	via	via	ADP
bracis-19046	6	30	the	the	DET
bracis-19046	6	31	bayes	baye	NOUN
bracis-19046	6	32	’	'	PUNCT
bracis-19046	6	33	theorem	theorem	VERB
bracis-19046	6	34	.	.	PUNCT
bracis-19046	7	1	we	we	PRON
bracis-19046	7	2	compare	compare	VERB
bracis-19046	7	3	our	our	PRON
bracis-19046	7	4	method	method	NOUN
bracis-19046	7	5	against	against	ADP
bracis-19046	7	6	a	a	DET
bracis-19046	7	7	technique	technique	NOUN
bracis-19046	7	8	that	that	PRON
bracis-19046	7	9	stores	store	VERB
bracis-19046	7	10	raw	raw	ADJ
bracis-19046	7	11	instances	instance	NOUN
bracis-19046	7	12	,	,	PUNCT
bracis-19046	7	13	and	and	CCONJ
bracis-19046	7	14	results	result	NOUN
bracis-19046	7	15	show	show	VERB
bracis-19046	7	16	that	that	SCONJ
bracis-19046	7	17	our	our	PRON
bracis-19046	7	18	method	method	NOUN
bracis-19046	7	19	obtains	obtain	VERB
bracis-19046	7	20	equivalent	equivalent	ADJ
bracis-19046	7	21	prediction	prediction	NOUN
bracis-19046	7	22	rates	rate	NOUN
bracis-19046	7	23	while	while	SCONJ
bracis-19046	7	24	being	be	AUX
bracis-19046	7	25	significantly	significantly	ADV
bracis-19046	7	26	faster	fast	ADV
bracis-19046	7	27	.	.	PUNCT
bracis-19046	8	1	supported	support	VERB
bracis-19046	8	2	by	by	ADP
bracis-19046	8	3	the	the	DET
bracis-19046	8	4	coordenação	coordenação	PROPN
bracis-19046	8	5	de	de	PROPN
bracis-19046	8	6	aperfeiçoamento	aperfeiçoamento	PROPN
bracis-19046	8	7	de	de	X
bracis-19046	8	8	pessoal	pessoal	PROPN
bracis-19046	8	9	de	de	PROPN
bracis-19046	8	10	nível	nível	PROPN
bracis-19046	8	11	superior	superior	PROPN
bracis-19046	8	12	brasil	brasil	PROPN
bracis-19046	8	13	(	(	PUNCT
bracis-19046	8	14	capes	cape	NOUN
bracis-19046	8	15	)	)	PUNCT
bracis-19046	8	16	finance	finance	NOUN
bracis-19046	8	17	code	code	NOUN
bracis-19046	8	18	001	001	NUM
bracis-19046	8	19	.	.	PUNCT
bracis-19046	9	1	access	access	NOUN
bracis-19046	9	2	provided	provide	VERB
bracis-19046	9	3	by	by	ADP
bracis-19046	9	4	university	university	PROPN
bracis-19046	9	5	of	of	ADP
bracis-19046	9	6	notre	notre	PROPN
bracis-19046	9	7	dame	dame	PROPN
bracis-19046	9	8	hesburgh	hesburgh	PROPN
bracis-19046	9	9	library	library	PROPN
bracis-19046	9	10	.	.	PUNCT
bracis-19046	10	1	download	download	PROPN
bracis-19046	10	2	conference	conference	NOUN
bracis-19046	10	3	paper	paper	NOUN
bracis-19046	10	4	pdf	pdf	NOUN
bracis-19046	10	5	similar	similar	ADJ
bracis-19046	10	6	content	content	NOUN
bracis-19046	10	7	being	be	AUX
bracis-19046	10	8	viewed	view	VERB
bracis-19046	10	9	by	by	ADP
bracis-19046	10	10	others	other	NOUN
bracis-19046	10	11	computing	compute	VERB
bracis-19046	10	12	hierarchical	hierarchical	ADJ
bracis-19046	10	13	summary	summary	NOUN
bracis-19046	10	14	of	of	ADP
bracis-19046	10	15	the	the	DET
bracis-19046	10	16	data	datum	NOUN
bracis-19046	10	17	streams	stream	NOUN
bracis-19046	10	18	chapter	chapter	NOUN
bracis-19046	10	19	©	©	PROPN
bracis-19046	10	20	2016	2016	NUM
bracis-19046	10	21	inference	inference	NOUN
bracis-19046	10	22	for	for	ADP
bracis-19046	10	23	high	high	ADV
bracis-19046	10	24	-	-	PUNCT
bracis-19046	10	25	dimensional	dimensional	ADJ
bracis-19046	10	26	streamed	stream	VERB
bracis-19046	10	27	longitudinal	longitudinal	ADJ
bracis-19046	10	28	data	datum	NOUN
bracis-19046	10	29	article	article	NOUN
bracis-19046	10	30	15	15	NUM
bracis-19046	10	31	february	february	PROPN
bracis-19046	10	32	2025	2025	NUM
bracis-19046	10	33	concept	concept	NOUN
bracis-19046	10	34	drift	drift	NOUN
bracis-19046	10	35	detection	detection	NOUN
bracis-19046	10	36	using	use	VERB
bracis-19046	10	37	online	online	ADJ
bracis-19046	10	38	histogram	histogram	NOUN
bracis-19046	10	39	-	-	PUNCT
bracis-19046	10	40	based	base	VERB
bracis-19046	10	41	bayesian	bayesian	NOUN
bracis-19046	10	42	classifiers	classifier	NOUN
bracis-19046	10	43	chapter	chapter	NOUN
bracis-19046	10	44	©	©	PROPN
bracis-19046	10	45	2016	2016	NUM
bracis-19046	10	46	explore	explore	VERB
bracis-19046	10	47	related	relate	VERB
bracis-19046	10	48	subjects	subject	NOUN
bracis-19046	10	49	discover	discover	VERB
bracis-19046	10	50	the	the	DET
bracis-19046	10	51	latest	late	ADJ
bracis-19046	10	52	articles	article	NOUN
bracis-19046	10	53	,	,	PUNCT
bracis-19046	10	54	books	book	NOUN
bracis-19046	10	55	and	and	CCONJ
bracis-19046	10	56	news	news	NOUN
bracis-19046	10	57	in	in	ADP
bracis-19046	10	58	related	related	ADJ
bracis-19046	10	59	subjects	subject	NOUN
bracis-19046	10	60	,	,	PUNCT
bracis-19046	10	61	suggested	suggest	VERB
bracis-19046	10	62	using	use	VERB
bracis-19046	10	63	machine	machine	NOUN
bracis-19046	10	64	learning	learning	NOUN
bracis-19046	10	65	.	.	PUNCT
bracis-19046	11	1	big	big	ADJ
bracis-19046	11	2	data	datum	NOUN
bracis-19046	11	3	bayesian	bayesian	NOUN
bracis-19046	11	4	network	network	NOUN
bracis-19046	11	5	categorization	categorization	NOUN
bracis-19046	11	6	data	datum	NOUN
bracis-19046	11	7	mining	mining	NOUN
bracis-19046	11	8	machine	machine	NOUN
bracis-19046	11	9	learning	learn	VERB
bracis-19046	11	10	probabilistic	probabilistic	ADJ
bracis-19046	11	11	data	datum	NOUN
bracis-19046	11	12	networks	network	NOUN
bracis-19046	11	13	1	1	NUM
bracis-19046	11	14	introduction	introduction	NOUN
bracis-19046	11	15	hierarchical	hierarchical	ADJ
bracis-19046	11	16	classification	classification	NOUN
bracis-19046	11	17	is	be	AUX
bracis-19046	11	18	required	require	VERB
bracis-19046	11	19	on	on	ADP
bracis-19046	11	20	problems	problem	NOUN
bracis-19046	11	21	where	where	SCONJ
bracis-19046	11	22	instances	instance	NOUN
bracis-19046	11	23	are	be	AUX
bracis-19046	11	24	labeled	label	VERB
bracis-19046	11	25	with	with	ADP
bracis-19046	11	26	classes	class	NOUN
bracis-19046	11	27	that	that	PRON
bracis-19046	11	28	are	be	AUX
bracis-19046	11	29	related	relate	VERB
bracis-19046	11	30	to	to	ADP
bracis-19046	11	31	one	one	NUM
bracis-19046	11	32	another	another	DET
bracis-19046	11	33	in	in	ADP
bracis-19046	11	34	a	a	DET
bracis-19046	11	35	hierarchy	hierarchy	NOUN
bracis-19046	11	36	,	,	PUNCT
bracis-19046	11	37	such	such	ADJ
bracis-19046	11	38	as	as	ADP
bracis-19046	11	39	in	in	ADP
bracis-19046	11	40	recognition	recognition	NOUN
bracis-19046	11	41	of	of	ADP
bracis-19046	11	42	music	music	NOUN
bracis-19046	11	43	genres	genre	NOUN
bracis-19046	11	44	and	and	CCONJ
bracis-19046	11	45	subgenres	subgenre	NOUN
bracis-19046	11	46	[	[	X
bracis-19046	11	47	12	12	NUM
bracis-19046	11	48	]	]	PUNCT
bracis-19046	11	49	,	,	PUNCT
bracis-19046	11	50	computer	computer	NOUN
bracis-19046	11	51	-	-	PUNCT
bracis-19046	11	52	aided	aid	VERB
bracis-19046	11	53	diagnosis	diagnosis	NOUN
bracis-19046	11	54	where	where	SCONJ
bracis-19046	11	55	diseases	disease	NOUN
bracis-19046	11	56	are	be	AUX
bracis-19046	11	57	categorized	categorize	VERB
bracis-19046	11	58	by	by	ADP
bracis-19046	11	59	their	their	PRON
bracis-19046	11	60	etiology	etiology	NOUN
bracis-19046	11	61	[	[	X
bracis-19046	11	62	43	43	NUM
bracis-19046	11	63	]	]	PUNCT
bracis-19046	11	64	,	,	PUNCT
bracis-19046	11	65	recognition	recognition	NOUN
bracis-19046	11	66	of	of	ADP
bracis-19046	11	67	animals	animal	NOUN
bracis-19046	11	68	,	,	PUNCT
bracis-19046	11	69	which	which	PRON
bracis-19046	11	70	are	be	AUX
bracis-19046	11	71	organized	organize	VERB
bracis-19046	11	72	in	in	ADP
bracis-19046	11	73	a	a	DET
bracis-19046	11	74	taxonomy	taxonomy	NOUN
bracis-19046	11	75	[	[	X
bracis-19046	11	76	28	28	NUM
bracis-19046	11	77	,	,	PUNCT
bracis-19046	11	78	42	42	NUM
bracis-19046	11	79	]	]	PUNCT
bracis-19046	11	80	,	,	PUNCT
bracis-19046	11	81	and	and	CCONJ
bracis-19046	11	82	,	,	PUNCT
bracis-19046	11	83	recently	recently	ADV
bracis-19046	11	84	,	,	PUNCT
bracis-19046	11	85	even	even	ADV
bracis-19046	11	86	helping	help	VERB
bracis-19046	11	87	in	in	ADP
bracis-19046	11	88	covid-19	covid-19	PROPN
bracis-19046	11	89	identification	identification	NOUN
bracis-19046	11	90	using	use	VERB
bracis-19046	11	91	the	the	DET
bracis-19046	11	92	hierarchical	hierarchical	ADJ
bracis-19046	11	93	etiology	etiology	NOUN
bracis-19046	11	94	of	of	ADP
bracis-19046	11	95	pneumonia	pneumonia	NOUN
bracis-19046	11	96	[	[	X
bracis-19046	11	97	29	29	NUM
bracis-19046	11	98	]	]	PUNCT
bracis-19046	11	99	.	.	PUNCT
bracis-19046	12	1	however	however	ADV
bracis-19046	12	2	,	,	PUNCT
bracis-19046	12	3	classification	classification	NOUN
bracis-19046	12	4	techniques	technique	NOUN
bracis-19046	12	5	often	often	ADV
bracis-19046	12	6	assume	assume	VERB
bracis-19046	12	7	that	that	SCONJ
bracis-19046	12	8	data	datum	NOUN
bracis-19046	12	9	samples	sample	NOUN
bracis-19046	12	10	of	of	ADP
bracis-19046	12	11	a	a	DET
bracis-19046	12	12	particular	particular	ADJ
bracis-19046	12	13	problem	problem	NOUN
bracis-19046	12	14	are	be	AUX
bracis-19046	12	15	static	static	ADJ
bracis-19046	12	16	and	and	CCONJ
bracis-19046	12	17	fully	fully	ADV
bracis-19046	12	18	available	available	ADJ
bracis-19046	12	19	to	to	ADP
bracis-19046	12	20	a	a	DET
bracis-19046	12	21	learning	learning	NOUN
bracis-19046	12	22	model	model	NOUN
bracis-19046	12	23	in	in	ADP
bracis-19046	12	24	a	a	DET
bracis-19046	12	25	well	well	ADV
bracis-19046	12	26	-	-	PUNCT
bracis-19046	12	27	defined	define	VERB
bracis-19046	12	28	training	training	NOUN
bracis-19046	12	29	step	step	NOUN
bracis-19046	12	30	[	[	X
bracis-19046	12	31	26	26	NUM
bracis-19046	12	32	]	]	PUNCT
bracis-19046	12	33	.	.	PUNCT
bracis-19046	13	1	this	this	DET
bracis-19046	13	2	assumption	assumption	NOUN
bracis-19046	13	3	does	do	AUX
bracis-19046	13	4	not	not	PART
bracis-19046	13	5	reflect	reflect	VERB
bracis-19046	13	6	many	many	ADJ
bracis-19046	13	7	of	of	ADP
bracis-19046	13	8	the	the	DET
bracis-19046	13	9	real	real	ADJ
bracis-19046	13	10	-	-	PUNCT
bracis-19046	13	11	world	world	NOUN
bracis-19046	13	12	scenarios	scenario	NOUN
bracis-19046	13	13	in	in	ADP
bracis-19046	13	14	which	which	PRON
bracis-19046	13	15	classification	classification	NOUN
bracis-19046	13	16	is	be	AUX
bracis-19046	13	17	applied	apply	VERB
bracis-19046	13	18	.	.	PUNCT
bracis-19046	14	1	the	the	DET
bracis-19046	14	2	ever	ever	ADV
bracis-19046	14	3	-	-	PUNCT
bracis-19046	14	4	increasing	increase	VERB
bracis-19046	14	5	volume	volume	NOUN
bracis-19046	14	6	of	of	ADP
bracis-19046	14	7	data	datum	NOUN
bracis-19046	14	8	from	from	ADP
bracis-19046	14	9	diverse	diverse	ADJ
bracis-19046	14	10	sources	source	NOUN
bracis-19046	14	11	such	such	ADJ
bracis-19046	14	12	as	as	ADP
bracis-19046	14	13	the	the	DET
bracis-19046	14	14	internet	internet	NOUN
bracis-19046	14	15	,	,	PUNCT
bracis-19046	14	16	wireless	wireless	ADJ
bracis-19046	14	17	sensors	sensor	NOUN
bracis-19046	14	18	,	,	PUNCT
bracis-19046	14	19	mobile	mobile	ADJ
bracis-19046	14	20	devices	device	NOUN
bracis-19046	14	21	,	,	PUNCT
bracis-19046	14	22	or	or	CCONJ
bracis-19046	14	23	social	social	ADJ
bracis-19046	14	24	networks	network	NOUN
bracis-19046	14	25	produces	produce	VERB
bracis-19046	14	26	massive	massive	ADJ
bracis-19046	14	27	large	large	ADJ
bracis-19046	14	28	-	-	PUNCT
bracis-19046	14	29	scale	scale	NOUN
bracis-19046	14	30	data	datum	NOUN
bracis-19046	14	31	streams	stream	NOUN
bracis-19046	14	32	[	[	X
bracis-19046	14	33	23	23	NUM
bracis-19046	14	34	,	,	PUNCT
bracis-19046	14	35	27	27	NUM
bracis-19046	14	36	,	,	PUNCT
bracis-19046	14	37	32	32	NUM
bracis-19046	14	38	]	]	PUNCT
bracis-19046	14	39	.	.	PUNCT
bracis-19046	15	1	data	datum	NOUN
bracis-19046	15	2	streams	stream	NOUN
bracis-19046	15	3	are	be	AUX
bracis-19046	15	4	potentially	potentially	ADV
bracis-19046	15	5	unbounded	unbounded	ADJ
bracis-19046	15	6	over	over	ADP
bracis-19046	15	7	time	time	NOUN
bracis-19046	15	8	and	and	CCONJ
bracis-19046	15	9	hence	hence	ADV
bracis-19046	15	10	can	can	AUX
bracis-19046	15	11	not	not	PART
bracis-19046	15	12	be	be	AUX
bracis-19046	15	13	stored	store	VERB
bracis-19046	15	14	in	in	ADP
bracis-19046	15	15	memory	memory	NOUN
bracis-19046	15	16	.	.	PUNCT
bracis-19046	16	1	also	also	ADV
bracis-19046	16	2	,	,	PUNCT
bracis-19046	16	3	as	as	SCONJ
bracis-19046	16	4	the	the	DET
bracis-19046	16	5	time	time	NOUN
bracis-19046	16	6	component	component	NOUN
bracis-19046	16	7	is	be	AUX
bracis-19046	16	8	intrinsic	intrinsic	ADJ
bracis-19046	16	9	in	in	ADP
bracis-19046	16	10	data	datum	NOUN
bracis-19046	16	11	streams	stream	NOUN
bracis-19046	16	12	,	,	PUNCT
bracis-19046	16	13	these	these	PRON
bracis-19046	16	14	are	be	AUX
bracis-19046	16	15	expected	expect	VERB
bracis-19046	16	16	to	to	PART
bracis-19046	16	17	be	be	AUX
bracis-19046	16	18	transient	transient	ADJ
bracis-19046	16	19	,	,	PUNCT
bracis-19046	16	20	i.e.	i.e.	X
bracis-19046	16	21	,	,	PUNCT
bracis-19046	16	22	the	the	DET
bracis-19046	16	23	underlying	underlie	VERB
bracis-19046	16	24	data	data	NOUN
bracis-19046	16	25	distribution	distribution	NOUN
bracis-19046	16	26	is	be	AUX
bracis-19046	16	27	ever	ever	ADV
bracis-19046	16	28	-	-	PUNCT
bracis-19046	16	29	changing	change	VERB
bracis-19046	16	30	,	,	PUNCT
bracis-19046	16	31	thus	thus	ADV
bracis-19046	16	32	resulting	result	VERB
bracis-19046	16	33	in	in	ADP
bracis-19046	16	34	variations	variation	NOUN
bracis-19046	16	35	in	in	ADP
bracis-19046	16	36	the	the	DET
bracis-19046	16	37	target	target	NOUN
bracis-19046	16	38	concept	concept	NOUN
bracis-19046	16	39	,	,	PUNCT
bracis-19046	16	40	a	a	DET
bracis-19046	16	41	phenomenon	phenomenon	NOUN
bracis-19046	16	42	named	name	VERB
bracis-19046	16	43	concept	concept	NOUN
bracis-19046	16	44	drift	drift	NOUN
bracis-19046	16	45	[	[	X
bracis-19046	16	46	10	10	NUM
bracis-19046	16	47	,	,	PUNCT
bracis-19046	16	48	19	19	NUM
bracis-19046	16	49	,	,	PUNCT
bracis-19046	16	50	21	21	NUM
bracis-19046	16	51	,	,	PUNCT
bracis-19046	16	52	39	39	NUM
bracis-19046	16	53	]	]	PUNCT
bracis-19046	16	54	.	.	PUNCT
bracis-19046	17	1	when	when	SCONJ
bracis-19046	17	2	merged	merged	ADJ
bracis-19046	17	3	,	,	PUNCT
bracis-19046	17	4	hierarchical	hierarchical	ADJ
bracis-19046	17	5	classification	classification	NOUN
bracis-19046	17	6	and	and	CCONJ
bracis-19046	17	7	data	data	NOUN
bracis-19046	17	8	stream	stream	NOUN
bracis-19046	17	9	classification	classification	NOUN
bracis-19046	17	10	areas	area	NOUN
bracis-19046	17	11	combine	combine	VERB
bracis-19046	17	12	their	their	PRON
bracis-19046	17	13	properties	property	NOUN
bracis-19046	17	14	and	and	CCONJ
bracis-19046	17	15	introduce	introduce	VERB
bracis-19046	17	16	new	new	ADJ
bracis-19046	17	17	challenges	challenge	NOUN
bracis-19046	17	18	in	in	ADP
bracis-19046	17	19	a	a	DET
bracis-19046	17	20	roughly	roughly	ADV
bracis-19046	17	21	unexplored	unexplored	ADJ
bracis-19046	17	22	area	area	NOUN
bracis-19046	17	23	:	:	PUNCT
bracis-19046	17	24	the	the	DET
bracis-19046	17	25	hierarchical	hierarchical	ADJ
bracis-19046	17	26	classification	classification	NOUN
bracis-19046	17	27	of	of	ADP
bracis-19046	17	28	data	datum	NOUN
bracis-19046	17	29	streams	stream	NOUN
bracis-19046	17	30	.	.	PUNCT
bracis-19046	18	1	consequently	consequently	ADV
bracis-19046	18	2	,	,	PUNCT
bracis-19046	18	3	novel	novel	ADJ
bracis-19046	18	4	algorithms	algorithm	NOUN
bracis-19046	18	5	for	for	ADP
bracis-19046	18	6	hierarchical	hierarchical	ADJ
bracis-19046	18	7	data	datum	NOUN
bracis-19046	18	8	stream	stream	NOUN
bracis-19046	18	9	classification	classification	NOUN
bracis-19046	18	10	must	must	AUX
bracis-19046	18	11	:	:	PUNCT
bracis-19046	18	12	(	(	PUNCT
bracis-19046	18	13	i	i	NOUN
bracis-19046	18	14	)	)	PUNCT
bracis-19046	18	15	handle	handle	VERB
bracis-19046	18	16	class	class	NOUN
bracis-19046	18	17	hierarchies	hierarchy	NOUN
bracis-19046	18	18	,	,	PUNCT
bracis-19046	18	19	(	(	PUNCT
bracis-19046	18	20	ii	ii	NOUN
bracis-19046	18	21	)	)	PUNCT
bracis-19046	18	22	be	be	AUX
bracis-19046	18	23	updatable	updatable	ADJ
bracis-19046	18	24	over	over	ADP
bracis-19046	18	25	time	time	NOUN
bracis-19046	18	26	,	,	PUNCT
bracis-19046	18	27	(	(	PUNCT
bracis-19046	18	28	iii	iii	X
bracis-19046	18	29	)	)	PUNCT
bracis-19046	18	30	detect	detect	NOUN
bracis-19046	18	31	and	and	CCONJ
bracis-19046	18	32	adapt	adapt	VERB
bracis-19046	18	33	to	to	ADP
bracis-19046	18	34	changes	change	NOUN
bracis-19046	18	35	in	in	ADP
bracis-19046	18	36	data	datum	NOUN
bracis-19046	18	37	behavior	behavior	NOUN
bracis-19046	18	38	,	,	PUNCT
bracis-19046	18	39	and	and	CCONJ
bracis-19046	18	40	(	(	PUNCT
bracis-19046	18	41	iv	iv	X
bracis-19046	18	42	)	)	PUNCT
bracis-19046	18	43	be	be	AUX
bracis-19046	18	44	computationally	computationally	ADV
bracis-19046	18	45	light	light	ADJ
bracis-19046	18	46	-	-	PUNCT
bracis-19046	18	47	weighted	weight	VERB
bracis-19046	18	48	regarding	regard	VERB
bracis-19046	18	49	processing	processing	NOUN
bracis-19046	18	50	time	time	NOUN
bracis-19046	18	51	and	and	CCONJ
bracis-19046	18	52	memory	memory	NOUN
bracis-19046	18	53	consumption	consumption	NOUN
bracis-19046	18	54	[	[	X
bracis-19046	18	55	10	10	NUM
bracis-19046	18	56	,	,	PUNCT
bracis-19046	18	57	19	19	NUM
bracis-19046	18	58	,	,	PUNCT
bracis-19046	18	59	31	31	NUM
bracis-19046	18	60	]	]	PUNCT
bracis-19046	18	61	.	.	PUNCT
bracis-19046	19	1	in	in	ADP
bracis-19046	19	2	this	this	DET
bracis-19046	19	3	study	study	NOUN
bracis-19046	19	4	,	,	PUNCT
bracis-19046	19	5	we	we	PRON
bracis-19046	19	6	propose	propose	VERB
bracis-19046	19	7	the	the	DET
bracis-19046	19	8	gnb	gnb	PROPN
bracis-19046	19	9	-	-	PUNCT
bracis-19046	19	10	hds	hds	PROPN
bracis-19046	19	11	method	method	NOUN
bracis-19046	19	12	:	:	PUNCT
bracis-19046	19	13	an	an	DET
bracis-19046	19	14	incremental	incremental	ADJ
bracis-19046	19	15	gaussian	gaussian	ADJ
bracis-19046	19	16	naive	naive	ADJ
bracis-19046	19	17	bayes	bayes	NOUN
bracis-19046	19	18	for	for	ADP
bracis-19046	19	19	classifying	classify	VERB
bracis-19046	19	20	potentially	potentially	ADV
bracis-19046	19	21	unbounded	unbounded	ADJ
bracis-19046	19	22	hierarchical	hierarchical	ADJ
bracis-19046	19	23	data	datum	NOUN
bracis-19046	19	24	streams	stream	NOUN
bracis-19046	19	25	.	.	PUNCT
bracis-19046	20	1	gnb	gnb	PROPN
bracis-19046	20	2	-	-	PUNCT
bracis-19046	20	3	hds	hds	PROPN
bracis-19046	20	4	uses	use	VERB
bracis-19046	20	5	statistical	statistical	ADJ
bracis-19046	20	6	summaries	summary	NOUN
bracis-19046	20	7	of	of	ADP
bracis-19046	20	8	the	the	DET
bracis-19046	20	9	data	datum	NOUN
bracis-19046	20	10	stream	stream	NOUN
bracis-19046	20	11	instead	instead	ADV
bracis-19046	20	12	of	of	ADP
bracis-19046	20	13	storing	store	VERB
bracis-19046	20	14	raw	raw	ADJ
bracis-19046	20	15	instances	instance	NOUN
bracis-19046	20	16	.	.	PUNCT
bracis-19046	21	1	despite	despite	SCONJ
bracis-19046	21	2	the	the	DET
bracis-19046	21	3	relevant	relevant	ADJ
bracis-19046	21	4	application	application	NOUN
bracis-19046	21	5	of	of	ADP
bracis-19046	21	6	bayesian	bayesian	NOUN
bracis-19046	21	7	classifiers	classifier	NOUN
bracis-19046	21	8	in	in	ADP
bracis-19046	21	9	hierarchical	hierarchical	ADJ
bracis-19046	21	10	and	and	CCONJ
bracis-19046	21	11	data	datum	NOUN
bracis-19046	21	12	stream	stream	NOUN
bracis-19046	21	13	classification	classification	NOUN
bracis-19046	21	14	tasks	task	NOUN
bracis-19046	21	15	separately	separately	ADV
bracis-19046	21	16	,	,	PUNCT
bracis-19046	21	17	they	they	PRON
bracis-19046	21	18	have	have	AUX
bracis-19046	21	19	not	not	PART
bracis-19046	21	20	been	be	AUX
bracis-19046	21	21	adapted	adapt	VERB
bracis-19046	21	22	yet	yet	ADV
bracis-19046	21	23	to	to	ADP
bracis-19046	21	24	their	their	PRON
bracis-19046	21	25	intersection	intersection	NOUN
bracis-19046	21	26	task	task	NOUN
bracis-19046	21	27	.	.	PUNCT
bracis-19046	22	1	therefore	therefore	ADV
bracis-19046	22	2	,	,	PUNCT
bracis-19046	22	3	to	to	ADP
bracis-19046	22	4	the	the	DET
bracis-19046	22	5	best	good	ADJ
bracis-19046	22	6	of	of	ADP
bracis-19046	22	7	our	our	PRON
bracis-19046	22	8	knowledge	knowledge	NOUN
bracis-19046	22	9	,	,	PUNCT
bracis-19046	22	10	this	this	PRON
bracis-19046	22	11	is	be	AUX
bracis-19046	22	12	the	the	DET
bracis-19046	22	13	first	first	ADJ
bracis-19046	22	14	method	method	NOUN
bracis-19046	22	15	that	that	PRON
bracis-19046	22	16	combines	combine	VERB
bracis-19046	22	17	incremental	incremental	ADJ
bracis-19046	22	18	bayesian	bayesian	NOUN
bracis-19046	22	19	learning	learn	VERB
bracis-19046	22	20	with	with	ADP
bracis-19046	22	21	hierarchical	hierarchical	ADJ
bracis-19046	22	22	classification	classification	NOUN
bracis-19046	22	23	.	.	PUNCT
bracis-19046	23	1	these	these	DET
bracis-19046	23	2	statistical	statistical	ADJ
bracis-19046	23	3	summaries	summary	NOUN
bracis-19046	23	4	allow	allow	VERB
bracis-19046	23	5	a	a	DET
bracis-19046	23	6	more	more	ADV
bracis-19046	23	7	efficient	efficient	ADJ
bracis-19046	23	8	data	datum	NOUN
bracis-19046	23	9	storage	storage	NOUN
bracis-19046	23	10	,	,	PUNCT
bracis-19046	23	11	holding	hold	VERB
bracis-19046	23	12	constant	constant	ADJ
bracis-19046	23	13	computational	computational	ADJ
bracis-19046	23	14	time	time	NOUN
bracis-19046	23	15	and	and	CCONJ
bracis-19046	23	16	memory	memory	NOUN
bracis-19046	23	17	usage	usage	NOUN
bracis-19046	23	18	,	,	PUNCT
bracis-19046	23	19	and	and	CCONJ
bracis-19046	23	20	permit	permit	VERB
bracis-19046	23	21	the	the	DET
bracis-19046	23	22	calculation	calculation	NOUN
bracis-19046	23	23	of	of	ADP
bracis-19046	23	24	the	the	DET
bracis-19046	23	25	probability	probability	NOUN
bracis-19046	23	26	of	of	ADP
bracis-19046	23	27	a	a	DET
bracis-19046	23	28	given	give	VERB
bracis-19046	23	29	instance	instance	NOUN
bracis-19046	23	30	belonging	belong	VERB
bracis-19046	23	31	to	to	ADP
bracis-19046	23	32	a	a	DET
bracis-19046	23	33	specific	specific	ADJ
bracis-19046	23	34	class	class	NOUN
bracis-19046	23	35	via	via	ADP
bracis-19046	23	36	the	the	DET
bracis-19046	23	37	bayes	baye	NOUN
bracis-19046	23	38	’	'	PUNCT
bracis-19046	23	39	theorem	theorem	VERB
bracis-19046	23	40	.	.	PUNCT
bracis-19046	24	1	the	the	DET
bracis-19046	24	2	novel	novel	ADJ
bracis-19046	24	3	contributions	contribution	NOUN
bracis-19046	24	4	of	of	ADP
bracis-19046	24	5	this	this	DET
bracis-19046	24	6	work	work	NOUN
bracis-19046	24	7	are	be	AUX
bracis-19046	24	8	as	as	SCONJ
bracis-19046	24	9	follows	follow	VERB
bracis-19046	24	10	:	:	PUNCT
bracis-19046	24	11	we	we	PRON
bracis-19046	24	12	qualify	qualify	VERB
bracis-19046	24	13	gaussian	gaussian	ADJ
bracis-19046	24	14	naive	naive	ADJ
bracis-19046	24	15	bayes	bayes	NOUN
bracis-19046	24	16	,	,	PUNCT
bracis-19046	24	17	a	a	DET
bracis-19046	24	18	well	well	ADV
bracis-19046	24	19	-	-	PUNCT
bracis-19046	24	20	known	know	VERB
bracis-19046	24	21	classification	classification	NOUN
bracis-19046	24	22	technique	technique	NOUN
bracis-19046	24	23	[	[	X
bracis-19046	24	24	11	11	NUM
bracis-19046	24	25	]	]	PUNCT
bracis-19046	24	26	,	,	PUNCT
bracis-19046	24	27	to	to	PART
bracis-19046	24	28	work	work	VERB
bracis-19046	24	29	with	with	ADP
bracis-19046	24	30	potentially	potentially	ADV
bracis-19046	24	31	unbounded	unbounded	ADJ
bracis-19046	24	32	hierarchical	hierarchical	ADJ
bracis-19046	24	33	data	datum	NOUN
bracis-19046	24	34	streams	stream	NOUN
bracis-19046	24	35	and	and	CCONJ
bracis-19046	24	36	in	in	ADP
bracis-19046	24	37	an	an	DET
bracis-19046	24	38	incremental	incremental	ADJ
bracis-19046	24	39	fashion	fashion	NOUN
bracis-19046	24	40	by	by	ADP
bracis-19046	24	41	using	use	VERB
bracis-19046	24	42	updatable	updatable	ADJ
bracis-19046	24	43	statistical	statistical	ADJ
bracis-19046	24	44	summaries	summary	NOUN
bracis-19046	24	45	related	relate	VERB
bracis-19046	24	46	to	to	ADP
bracis-19046	24	47	a	a	DET
bracis-19046	24	48	class	class	NOUN
bracis-19046	24	49	hierarchy	hierarchy	NOUN
bracis-19046	24	50	.	.	PUNCT
bracis-19046	25	1	we	we	PRON
bracis-19046	25	2	propose	propose	VERB
bracis-19046	25	3	gnb	gnb	PROPN
bracis-19046	25	4	-	-	PUNCT
bracis-19046	25	5	hds	hds	PROPN
bracis-19046	25	6	,	,	PUNCT
bracis-19046	25	7	a	a	DET
bracis-19046	25	8	method	method	NOUN
bracis-19046	25	9	for	for	ADP
bracis-19046	25	10	the	the	DET
bracis-19046	25	11	hierarchical	hierarchical	ADJ
bracis-19046	25	12	classification	classification	NOUN
bracis-19046	25	13	of	of	ADP
bracis-19046	25	14	data	datum	NOUN
bracis-19046	25	15	streams	stream	NOUN
bracis-19046	25	16	using	use	VERB
bracis-19046	25	17	summarization	summarization	NOUN
bracis-19046	25	18	techniques	technique	NOUN
bracis-19046	25	19	.	.	PUNCT
bracis-19046	26	1	the	the	DET
bracis-19046	26	2	model	model	NOUN
bracis-19046	26	3	is	be	AUX
bracis-19046	26	4	incremental	incremental	ADJ
bracis-19046	26	5	and	and	CCONJ
bracis-19046	26	6	handles	handle	VERB
bracis-19046	26	7	potentially	potentially	ADV
bracis-19046	26	8	unbounded	unbounded	ADJ
bracis-19046	26	9	data	datum	NOUN
bracis-19046	26	10	streams	stream	NOUN
bracis-19046	26	11	with	with	ADP
bracis-19046	26	12	constant	constant	ADJ
bracis-19046	26	13	memory	memory	NOUN
bracis-19046	26	14	usage	usage	NOUN
bracis-19046	26	15	.	.	PUNCT
bracis-19046	27	1	furthermore	furthermore	ADV
bracis-19046	27	2	,	,	PUNCT
bracis-19046	27	3	as	as	ADP
bracis-19046	27	4	a	a	DET
bracis-19046	27	5	byproduct	byproduct	NOUN
bracis-19046	27	6	of	of	ADP
bracis-19046	27	7	this	this	DET
bracis-19046	27	8	research	research	NOUN
bracis-19046	27	9	,	,	PUNCT
bracis-19046	27	10	we	we	PRON
bracis-19046	27	11	make	make	VERB
bracis-19046	27	12	the	the	DET
bracis-19046	27	13	source	source	NOUN
bracis-19046	27	14	code	code	NOUN
bracis-19046	27	15	for	for	ADP
bracis-19046	27	16	the	the	DET
bracis-19046	27	17	proposed	propose	VERB
bracis-19046	27	18	method	method	NOUN
bracis-19046	27	19	,	,	PUNCT
bracis-19046	27	20	as	as	ADV
bracis-19046	27	21	well	well	ADV
bracis-19046	27	22	as	as	ADP
bracis-19046	27	23	the	the	DET
bracis-19046	27	24	datasets	dataset	NOUN
bracis-19046	27	25	used	use	VERB
bracis-19046	27	26	in	in	ADP
bracis-19046	27	27	the	the	DET
bracis-19046	27	28	experiments	experiment	NOUN
bracis-19046	27	29	,	,	PUNCT
bracis-19046	27	30	available	available	ADJ
bracis-19046	27	31	for	for	ADP
bracis-19046	27	32	reproducibility	reproducibility	NOUN
bracis-19046	27	33	.	.	PUNCT
bracis-19046	28	1	the	the	DET
bracis-19046	28	2	remainder	remainder	NOUN
bracis-19046	28	3	of	of	ADP
bracis-19046	28	4	this	this	DET
bracis-19046	28	5	paper	paper	NOUN
bracis-19046	28	6	is	be	AUX
bracis-19046	28	7	organized	organize	VERB
bracis-19046	28	8	as	as	SCONJ
bracis-19046	28	9	follows	follow	VERB
bracis-19046	28	10	.	.	PUNCT
bracis-19046	29	1	section	section	NOUN
bracis-19046	29	2	 	 	SPACE
bracis-19046	29	3	2	2	NUM
bracis-19046	29	4	describes	describe	VERB
bracis-19046	29	5	the	the	DET
bracis-19046	29	6	problem	problem	NOUN
bracis-19046	29	7	of	of	ADP
bracis-19046	29	8	hierarchical	hierarchical	ADJ
bracis-19046	29	9	classification	classification	NOUN
bracis-19046	29	10	of	of	ADP
bracis-19046	29	11	data	datum	NOUN
bracis-19046	29	12	streams	stream	NOUN
bracis-19046	29	13	and	and	CCONJ
bracis-19046	29	14	sect	sect	NOUN
bracis-19046	29	15	.	.	PUNCT
bracis-19046	29	16	 	 	SPACE
bracis-19046	30	1	3	3	NUM
bracis-19046	30	2	brings	bring	VERB
bracis-19046	30	3	forward	forward	ADV
bracis-19046	30	4	related	relate	VERB
bracis-19046	30	5	works	work	NOUN
bracis-19046	30	6	.	.	PUNCT
bracis-19046	31	1	section	section	NOUN
bracis-19046	31	2	 	 	SPACE
bracis-19046	31	3	4	4	NUM
bracis-19046	31	4	describes	describe	VERB
bracis-19046	31	5	the	the	DET
bracis-19046	31	6	proposed	propose	VERB
bracis-19046	31	7	incremental	incremental	ADJ
bracis-19046	31	8	gaussian	gaussian	ADJ
bracis-19046	31	9	naive	naive	ADJ
bracis-19046	31	10	bayes	bayes	NOUN
bracis-19046	31	11	for	for	ADP
bracis-19046	31	12	the	the	DET
bracis-19046	31	13	hierarchical	hierarchical	ADJ
bracis-19046	31	14	classification	classification	NOUN
bracis-19046	31	15	of	of	ADP
bracis-19046	31	16	data	datum	NOUN
bracis-19046	31	17	streams	stream	NOUN
bracis-19046	31	18	.	.	PUNCT
bracis-19046	32	1	section	section	NOUN
bracis-19046	32	2	 	 	SPACE
bracis-19046	32	3	5	5	NUM
bracis-19046	32	4	comprises	comprise	VERB
bracis-19046	32	5	the	the	DET
bracis-19046	32	6	experimental	experimental	ADJ
bracis-19046	32	7	protocol	protocol	NOUN
bracis-19046	32	8	and	and	CCONJ
bracis-19046	32	9	the	the	DET
bracis-19046	32	10	discussion	discussion	NOUN
bracis-19046	32	11	of	of	ADP
bracis-19046	32	12	the	the	DET
bracis-19046	32	13	results	result	NOUN
bracis-19046	32	14	obtained	obtain	VERB
bracis-19046	32	15	.	.	PUNCT
bracis-19046	33	1	finally	finally	ADV
bracis-19046	33	2	,	,	PUNCT
bracis-19046	33	3	sect	sect	NOUN
bracis-19046	33	4	.	.	PUNCT
bracis-19046	33	5	 	 	SPACE
bracis-19046	33	6	6	6	NUM
bracis-19046	33	7	concludes	conclude	VERB
bracis-19046	33	8	this	this	DET
bracis-19046	33	9	paper	paper	NOUN
bracis-19046	33	10	and	and	CCONJ
bracis-19046	33	11	states	state	NOUN
bracis-19046	33	12	envisioned	envision	VERB
bracis-19046	33	13	future	future	ADJ
bracis-19046	33	14	works	work	NOUN
bracis-19046	33	15	.	.	PUNCT
bracis-19046	34	1	2	2	NUM
bracis-19046	34	2	problem	problem	NOUN
bracis-19046	34	3	statement	statement	NOUN
bracis-19046	34	4	as	as	SCONJ
bracis-19046	34	5	mentioned	mention	VERB
bracis-19046	34	6	above	above	ADV
bracis-19046	34	7	,	,	PUNCT
bracis-19046	34	8	in	in	ADP
bracis-19046	34	9	this	this	DET
bracis-19046	34	10	paper	paper	NOUN
bracis-19046	34	11	,	,	PUNCT
bracis-19046	34	12	we	we	PRON
bracis-19046	34	13	are	be	AUX
bracis-19046	34	14	particularly	particularly	ADV
bracis-19046	34	15	interested	interested	ADJ
bracis-19046	34	16	in	in	ADP
bracis-19046	34	17	hierarchical	hierarchical	ADJ
bracis-19046	34	18	data	datum	NOUN
bracis-19046	34	19	stream	stream	NOUN
bracis-19046	34	20	classification	classification	NOUN
bracis-19046	34	21	.	.	PUNCT
bracis-19046	35	1	this	this	DET
bracis-19046	35	2	specific	specific	ADJ
bracis-19046	35	3	task	task	NOUN
bracis-19046	35	4	combines	combine	VERB
bracis-19046	35	5	characteristics	characteristic	NOUN
bracis-19046	35	6	and	and	CCONJ
bracis-19046	35	7	challenges	challenge	NOUN
bracis-19046	35	8	from	from	ADP
bracis-19046	35	9	two	two	NUM
bracis-19046	35	10	different	different	ADJ
bracis-19046	35	11	areas	area	NOUN
bracis-19046	35	12	,	,	PUNCT
bracis-19046	35	13	and	and	CCONJ
bracis-19046	35	14	thus	thus	ADV
bracis-19046	35	15	,	,	PUNCT
bracis-19046	35	16	it	it	PRON
bracis-19046	35	17	differs	differ	VERB
bracis-19046	35	18	from	from	ADP
bracis-19046	35	19	classical	classical	ADJ
bracis-19046	35	20	classification	classification	NOUN
bracis-19046	35	21	in	in	ADP
bracis-19046	35	22	two	two	NUM
bracis-19046	35	23	key	key	ADJ
bracis-19046	35	24	aspects	aspect	NOUN
bracis-19046	35	25	.	.	PUNCT
bracis-19046	36	1	first	first	ADV
bracis-19046	36	2	,	,	PUNCT
bracis-19046	36	3	concerning	concern	VERB
bracis-19046	36	4	hierarchical	hierarchical	ADJ
bracis-19046	36	5	classification	classification	NOUN
bracis-19046	36	6	,	,	PUNCT
bracis-19046	36	7	instances	instance	NOUN
bracis-19046	36	8	of	of	ADP
bracis-19046	36	9	a	a	DET
bracis-19046	36	10	problem	problem	NOUN
bracis-19046	36	11	are	be	AUX
bracis-19046	36	12	assigned	assign	VERB
bracis-19046	36	13	to	to	ADP
bracis-19046	36	14	a	a	DET
bracis-19046	36	15	label	label	NOUN
bracis-19046	36	16	path	path	NOUN
bracis-19046	36	17	that	that	PRON
bracis-19046	36	18	belongs	belong	VERB
bracis-19046	36	19	to	to	ADP
bracis-19046	36	20	a	a	DET
bracis-19046	36	21	hierarchically	hierarchically	ADV
bracis-19046	36	22	structured	structure	VERB
bracis-19046	36	23	set	set	NOUN
bracis-19046	36	24	of	of	ADP
bracis-19046	36	25	classes	class	NOUN
bracis-19046	36	26	instead	instead	ADV
bracis-19046	36	27	of	of	ADP
bracis-19046	36	28	one	one	NUM
bracis-19046	36	29	single	single	ADJ
bracis-19046	36	30	independent	independent	ADJ
bracis-19046	36	31	label	label	NOUN
bracis-19046	36	32	[	[	X
bracis-19046	36	33	35	35	NUM
bracis-19046	36	34	]	]	PUNCT
bracis-19046	36	35	.	.	PUNCT
bracis-19046	37	1	figure	figure	NOUN
bracis-19046	37	2	 	 	SPACE
bracis-19046	37	3	1	1	NUM
bracis-19046	37	4	compares	compare	VERB
bracis-19046	37	5	a	a	DET
bracis-19046	37	6	general	general	ADJ
bracis-19046	37	7	approach	approach	NOUN
bracis-19046	37	8	of	of	ADP
bracis-19046	37	9	(	(	PUNCT
bracis-19046	37	10	a	a	PRON
bracis-19046	37	11	)	)	PUNCT
bracis-19046	37	12	flat	flat	ADJ
bracis-19046	37	13	(	(	PUNCT
bracis-19046	37	14	non	non	ADJ
bracis-19046	37	15	-	-	ADJ
bracis-19046	37	16	hierarchical	hierarchical	ADJ
bracis-19046	37	17	)	)	PUNCT
bracis-19046	37	18	classification	classification	NOUN
bracis-19046	37	19	,	,	PUNCT
bracis-19046	37	20	and	and	CCONJ
bracis-19046	37	21	(	(	PUNCT
bracis-19046	37	22	b	b	X
bracis-19046	37	23	)	)	PUNCT
bracis-19046	37	24	hierarchical	hierarchical	ADJ
bracis-19046	37	25	classification	classification	NOUN
bracis-19046	37	26	in	in	ADP
bracis-19046	37	27	an	an	DET
bracis-19046	37	28	illustrative	illustrative	ADJ
bracis-19046	37	29	problem	problem	NOUN
bracis-19046	37	30	.	.	PUNCT
bracis-19046	38	1	in	in	ADP
bracis-19046	38	2	flat	flat	ADJ
bracis-19046	38	3	classification	classification	NOUN
bracis-19046	38	4	,	,	PUNCT
bracis-19046	38	5	the	the	DET
bracis-19046	38	6	decision	decision	NOUN
bracis-19046	38	7	must	must	AUX
bracis-19046	38	8	be	be	AUX
bracis-19046	38	9	made	make	VERB
bracis-19046	38	10	while	while	SCONJ
bracis-19046	38	11	considering	consider	VERB
bracis-19046	38	12	all	all	DET
bracis-19046	38	13	the	the	DET
bracis-19046	38	14	classes	class	NOUN
bracis-19046	38	15	of	of	ADP
bracis-19046	38	16	the	the	DET
bracis-19046	38	17	problem	problem	NOUN
bracis-19046	38	18	(	(	PUNCT
bracis-19046	38	19	all	all	DET
bracis-19046	38	20	the	the	DET
bracis-19046	38	21	possible	possible	ADJ
bracis-19046	38	22	song	song	NOUN
bracis-19046	38	23	genres	genre	NOUN
bracis-19046	38	24	)	)	PUNCT
bracis-19046	38	25	.	.	PUNCT
bracis-19046	39	1	meanwhile	meanwhile	ADV
bracis-19046	39	2	,	,	PUNCT
bracis-19046	39	3	hierarchical	hierarchical	ADJ
bracis-19046	39	4	classification	classification	NOUN
bracis-19046	39	5	concerns	concern	NOUN
bracis-19046	39	6	an	an	DET
bracis-19046	39	7	existing	exist	VERB
bracis-19046	39	8	class	class	NOUN
bracis-19046	39	9	taxonomy	taxonomy	NOUN
bracis-19046	39	10	,	,	PUNCT
bracis-19046	39	11	which	which	PRON
bracis-19046	39	12	can	can	AUX
bracis-19046	39	13	be	be	AUX
bracis-19046	39	14	used	use	VERB
bracis-19046	39	15	to	to	PART
bracis-19046	39	16	make	make	VERB
bracis-19046	39	17	first	first	ADV
bracis-19046	39	18	smaller	small	ADJ
bracis-19046	39	19	and	and	CCONJ
bracis-19046	39	20	generic	generic	ADJ
bracis-19046	39	21	decisions	decision	NOUN
bracis-19046	39	22	about	about	ADP
bracis-19046	39	23	the	the	DET
bracis-19046	39	24	problem	problem	NOUN
bracis-19046	39	25	(	(	PUNCT
bracis-19046	39	26	in	in	ADP
bracis-19046	39	27	the	the	DET
bracis-19046	39	28	example	example	NOUN
bracis-19046	39	29	,	,	PUNCT
bracis-19046	39	30	decide	decide	VERB
bracis-19046	39	31	first	first	ADV
bracis-19046	39	32	between	between	ADP
bracis-19046	39	33	rock	rock	NOUN
bracis-19046	39	34	and	and	CCONJ
bracis-19046	39	35	r&b	r&b	NOUN
bracis-19046	39	36	genres	genre	NOUN
bracis-19046	39	37	)	)	PUNCT
bracis-19046	39	38	,	,	PUNCT
bracis-19046	39	39	and	and	CCONJ
bracis-19046	39	40	then	then	ADV
bracis-19046	39	41	more	more	ADV
bracis-19046	39	42	specific	specific	ADJ
bracis-19046	39	43	ones	one	NOUN
bracis-19046	39	44	.	.	PUNCT
bracis-19046	40	1	fig	fig	NOUN
bracis-19046	40	2	.	.	PUNCT
bracis-19046	41	1	1	1	NUM
bracis-19046	41	2	.	.	X
bracis-19046	41	3	example	example	NOUN
bracis-19046	41	4	of	of	ADP
bracis-19046	41	5	general	general	ADJ
bracis-19046	41	6	approaches	approach	NOUN
bracis-19046	41	7	of	of	ADP
bracis-19046	41	8	(	(	PUNCT
bracis-19046	41	9	a	a	PRON
bracis-19046	41	10	)	)	PUNCT
bracis-19046	41	11	flat	flat	ADJ
bracis-19046	41	12	and	and	CCONJ
bracis-19046	41	13	(	(	PUNCT
bracis-19046	41	14	b	b	NOUN
bracis-19046	41	15	)	)	PUNCT
bracis-19046	41	16	hierarchical	hierarchical	ADJ
bracis-19046	41	17	classification	classification	NOUN
bracis-19046	41	18	in	in	ADP
bracis-19046	41	19	a	a	DET
bracis-19046	41	20	hypothetical	hypothetical	ADJ
bracis-19046	41	21	music	music	NOUN
bracis-19046	41	22	genre	genre	NOUN
bracis-19046	41	23	problem	problem	NOUN
bracis-19046	41	24	.	.	PUNCT
bracis-19046	42	1	the	the	DET
bracis-19046	42	2	class	class	NOUN
bracis-19046	42	3	taxonomy	taxonomy	NOUN
bracis-19046	42	4	can	can	AUX
bracis-19046	42	5	be	be	AUX
bracis-19046	42	6	used	use	VERB
bracis-19046	42	7	to	to	PART
bracis-19046	42	8	lead	lead	VERB
bracis-19046	42	9	smaller	small	ADJ
bracis-19046	42	10	specific	specific	ADJ
bracis-19046	42	11	decisions	decision	NOUN
bracis-19046	42	12	about	about	ADP
bracis-19046	42	13	the	the	DET
bracis-19046	42	14	classes	class	NOUN
bracis-19046	42	15	by	by	ADP
bracis-19046	42	16	splitting	split	VERB
bracis-19046	42	17	the	the	DET
bracis-19046	42	18	context	context	NOUN
bracis-19046	42	19	complexity	complexity	NOUN
bracis-19046	42	20	.	.	PUNCT
bracis-19046	43	1	full	full	ADJ
bracis-19046	43	2	size	size	NOUN
bracis-19046	43	3	image	image	NOUN
bracis-19046	43	4	second	second	ADV
bracis-19046	43	5	,	,	PUNCT
bracis-19046	43	6	concerning	concern	VERB
bracis-19046	43	7	data	data	NOUN
bracis-19046	43	8	stream	stream	NOUN
bracis-19046	43	9	classification	classification	NOUN
bracis-19046	43	10	,	,	PUNCT
bracis-19046	43	11	there	there	PRON
bracis-19046	43	12	is	be	VERB
bracis-19046	43	13	not	not	PART
bracis-19046	43	14	the	the	DET
bracis-19046	43	15	concept	concept	NOUN
bracis-19046	43	16	of	of	ADP
bracis-19046	43	17	a	a	DET
bracis-19046	43	18	complete	complete	ADJ
bracis-19046	43	19	and	and	CCONJ
bracis-19046	43	20	fully	fully	ADV
bracis-19046	43	21	available	available	ADJ
bracis-19046	43	22	dataset	dataset	NOUN
bracis-19046	43	23	;	;	PUNCT
bracis-19046	43	24	instead	instead	ADV
bracis-19046	43	25	,	,	PUNCT
bracis-19046	43	26	instances	instance	NOUN
bracis-19046	43	27	of	of	ADP
bracis-19046	43	28	a	a	DET
bracis-19046	43	29	problem	problem	NOUN
bracis-19046	43	30	are	be	AUX
bracis-19046	43	31	provided	provide	VERB
bracis-19046	43	32	to	to	ADP
bracis-19046	43	33	the	the	DET
bracis-19046	43	34	model	model	NOUN
bracis-19046	43	35	sequentially	sequentially	ADV
bracis-19046	43	36	over	over	ADP
bracis-19046	43	37	time	time	NOUN
bracis-19046	43	38	[	[	X
bracis-19046	43	39	19	19	NUM
bracis-19046	43	40	]	]	PUNCT
bracis-19046	43	41	.	.	PUNCT
bracis-19046	44	1	figure	figure	NOUN
bracis-19046	44	2	 	 	SPACE
bracis-19046	44	3	2	2	NUM
bracis-19046	44	4	compares	compare	NOUN
bracis-19046	44	5	(	(	PUNCT
bracis-19046	44	6	a	a	X
bracis-19046	44	7	)	)	PUNCT
bracis-19046	44	8	a	a	DET
bracis-19046	44	9	traditional	traditional	ADJ
bracis-19046	44	10	classification	classification	NOUN
bracis-19046	44	11	process	process	NOUN
bracis-19046	44	12	and	and	CCONJ
bracis-19046	44	13	(	(	PUNCT
bracis-19046	44	14	b	b	X
bracis-19046	44	15	)	)	PUNCT
bracis-19046	44	16	a	a	DET
bracis-19046	44	17	data	data	NOUN
bracis-19046	44	18	stream	stream	NOUN
bracis-19046	44	19	classification	classification	NOUN
bracis-19046	44	20	process	process	NOUN
bracis-19046	44	21	.	.	PUNCT
bracis-19046	45	1	in	in	ADP
bracis-19046	45	2	traditional	traditional	ADJ
bracis-19046	45	3	(	(	PUNCT
bracis-19046	45	4	or	or	CCONJ
bracis-19046	45	5	batch	batch	NOUN
bracis-19046	45	6	)	)	PUNCT
bracis-19046	45	7	classification	classification	NOUN
bracis-19046	45	8	,	,	PUNCT
bracis-19046	45	9	the	the	DET
bracis-19046	45	10	dataset	dataset	NOUN
bracis-19046	45	11	is	be	AUX
bracis-19046	45	12	assumed	assume	VERB
bracis-19046	45	13	to	to	PART
bracis-19046	45	14	be	be	AUX
bracis-19046	45	15	static	static	ADJ
bracis-19046	45	16	and	and	CCONJ
bracis-19046	45	17	completely	completely	ADV
bracis-19046	45	18	available	available	ADJ
bracis-19046	45	19	to	to	ADP
bracis-19046	45	20	the	the	DET
bracis-19046	45	21	model	model	NOUN
bracis-19046	45	22	at	at	ADP
bracis-19046	45	23	the	the	DET
bracis-19046	45	24	training	training	NOUN
bracis-19046	45	25	step	step	NOUN
bracis-19046	45	26	.	.	PUNCT
bracis-19046	46	1	next	next	ADV
bracis-19046	46	2	,	,	PUNCT
bracis-19046	46	3	the	the	DET
bracis-19046	46	4	dataset	dataset	NOUN
bracis-19046	46	5	is	be	AUX
bracis-19046	46	6	divided	divide	VERB
bracis-19046	46	7	into	into	ADP
bracis-19046	46	8	training	training	NOUN
bracis-19046	46	9	and	and	CCONJ
bracis-19046	46	10	test	test	NOUN
bracis-19046	46	11	subsets	subset	NOUN
bracis-19046	46	12	;	;	PUNCT
bracis-19046	46	13	the	the	DET
bracis-19046	46	14	training	training	NOUN
bracis-19046	46	15	data	datum	NOUN
bracis-19046	46	16	is	be	AUX
bracis-19046	46	17	submitted	submit	VERB
bracis-19046	46	18	to	to	ADP
bracis-19046	46	19	the	the	DET
bracis-19046	46	20	learning	learning	NOUN
bracis-19046	46	21	model	model	NOUN
bracis-19046	46	22	that	that	PRON
bracis-19046	46	23	reviews	review	VERB
bracis-19046	46	24	them	they	PRON
bracis-19046	46	25	as	as	ADV
bracis-19046	46	26	many	many	ADJ
bracis-19046	46	27	times	time	NOUN
bracis-19046	46	28	as	as	ADV
bracis-19046	46	29	necessary	necessary	ADJ
bracis-19046	46	30	until	until	ADP
bracis-19046	46	31	obtaining	obtain	VERB
bracis-19046	46	32	a	a	DET
bracis-19046	46	33	single	single	ADJ
bracis-19046	46	34	satisfactory	satisfactory	ADJ
bracis-19046	46	35	test	test	NOUN
bracis-19046	46	36	model	model	NOUN
bracis-19046	46	37	.	.	PUNCT
bracis-19046	47	1	this	this	DET
bracis-19046	47	2	final	final	ADJ
bracis-19046	47	3	model	model	NOUN
bracis-19046	47	4	is	be	AUX
bracis-19046	47	5	then	then	ADV
bracis-19046	47	6	applied	apply	VERB
bracis-19046	47	7	to	to	ADP
bracis-19046	47	8	the	the	DET
bracis-19046	47	9	subset	subset	NOUN
bracis-19046	47	10	of	of	ADP
bracis-19046	47	11	test	test	NOUN
bracis-19046	47	12	data	datum	NOUN
bracis-19046	47	13	and	and	CCONJ
bracis-19046	47	14	provides	provide	VERB
bracis-19046	47	15	predictions	prediction	NOUN
bracis-19046	47	16	and	and	CCONJ
bracis-19046	47	17	,	,	PUNCT
bracis-19046	47	18	consequently	consequently	ADV
bracis-19046	47	19	,	,	PUNCT
bracis-19046	47	20	accuracy	accuracy	NOUN
bracis-19046	47	21	estimates	estimate	NOUN
bracis-19046	47	22	.	.	PUNCT
bracis-19046	48	1	in	in	ADP
bracis-19046	48	2	contrast	contrast	NOUN
bracis-19046	48	3	,	,	PUNCT
bracis-19046	48	4	in	in	ADP
bracis-19046	48	5	streaming	streaming	NOUN
bracis-19046	48	6	scenarios	scenario	NOUN
bracis-19046	48	7	,	,	PUNCT
bracis-19046	48	8	data	datum	NOUN
bracis-19046	48	9	is	be	AUX
bracis-19046	48	10	made	make	VERB
bracis-19046	48	11	available	available	ADJ
bracis-19046	48	12	sequentially	sequentially	ADV
bracis-19046	48	13	over	over	ADP
bracis-19046	48	14	time	time	NOUN
bracis-19046	48	15	,	,	PUNCT
bracis-19046	48	16	and	and	CCONJ
bracis-19046	48	17	even	even	ADV
bracis-19046	48	18	a	a	DET
bracis-19046	48	19	single	single	ADJ
bracis-19046	48	20	instance	instance	NOUN
bracis-19046	48	21	can	can	AUX
bracis-19046	48	22	be	be	AUX
bracis-19046	48	23	provided	provide	VERB
bracis-19046	48	24	to	to	ADP
bracis-19046	48	25	the	the	DET
bracis-19046	48	26	model	model	NOUN
bracis-19046	48	27	at	at	ADP
bracis-19046	48	28	a	a	DET
bracis-19046	48	29	time	time	NOUN
bracis-19046	48	30	.	.	PUNCT
bracis-19046	49	1	each	each	DET
bracis-19046	49	2	instance	instance	NOUN
bracis-19046	49	3	is	be	AUX
bracis-19046	49	4	tested	test	VERB
bracis-19046	49	5	by	by	ADP
bracis-19046	49	6	the	the	DET
bracis-19046	49	7	model	model	NOUN
bracis-19046	49	8	,	,	PUNCT
bracis-19046	49	9	resulting	result	VERB
bracis-19046	49	10	in	in	ADP
bracis-19046	49	11	a	a	DET
bracis-19046	49	12	prediction	prediction	NOUN
bracis-19046	49	13	,	,	PUNCT
bracis-19046	49	14	and	and	CCONJ
bracis-19046	49	15	only	only	ADV
bracis-19046	49	16	after	after	ADP
bracis-19046	49	17	that	that	SCONJ
bracis-19046	49	18	it	it	PRON
bracis-19046	49	19	is	be	AUX
bracis-19046	49	20	incorporated	incorporate	VERB
bracis-19046	49	21	into	into	ADP
bracis-19046	49	22	the	the	DET
bracis-19046	49	23	model	model	NOUN
bracis-19046	49	24	(	(	PUNCT
bracis-19046	49	25	being	be	AUX
bracis-19046	49	26	used	use	VERB
bracis-19046	49	27	as	as	ADP
bracis-19046	49	28	training	training	NOUN
bracis-19046	49	29	data	datum	NOUN
bracis-19046	49	30	)	)	PUNCT
bracis-19046	49	31	.	.	PUNCT
bracis-19046	50	1	this	this	DET
bracis-19046	50	2	process	process	NOUN
bracis-19046	50	3	,	,	PUNCT
bracis-19046	50	4	entitled	entitle	VERB
bracis-19046	50	5	‘	'	PUNCT
bracis-19046	50	6	test	test	NOUN
bracis-19046	50	7	-	-	PUNCT
bracis-19046	50	8	then	then	ADV
bracis-19046	50	9	-	-	PUNCT
bracis-19046	50	10	train	train	NOUN
bracis-19046	50	11	’	'	PUNCT
bracis-19046	50	12	,	,	PUNCT
bracis-19046	50	13	is	be	AUX
bracis-19046	50	14	repeated	repeat	VERB
bracis-19046	50	15	for	for	ADP
bracis-19046	50	16	each	each	DET
bracis-19046	50	17	instance	instance	NOUN
bracis-19046	50	18	,	,	PUNCT
bracis-19046	50	19	or	or	CCONJ
bracis-19046	50	20	chunk	chunk	NOUN
bracis-19046	50	21	of	of	ADP
bracis-19046	50	22	instances	instance	NOUN
bracis-19046	50	23	,	,	PUNCT
bracis-19046	50	24	that	that	PRON
bracis-19046	50	25	is	be	AUX
bracis-19046	50	26	gathered	gather	VERB
bracis-19046	50	27	from	from	ADP
bracis-19046	50	28	the	the	DET
bracis-19046	50	29	stream	stream	NOUN
bracis-19046	50	30	.	.	PUNCT
bracis-19046	51	1	any	any	DET
bracis-19046	51	2	processed	process	VERB
bracis-19046	51	3	instance	instance	NOUN
bracis-19046	51	4	needs	need	VERB
bracis-19046	51	5	to	to	PART
bracis-19046	51	6	be	be	AUX
bracis-19046	51	7	eventually	eventually	ADV
bracis-19046	51	8	discarded	discard	VERB
bracis-19046	51	9	to	to	PART
bracis-19046	51	10	maintain	maintain	VERB
bracis-19046	51	11	the	the	DET
bracis-19046	51	12	model	model	NOUN
bracis-19046	51	13	stable	stable	ADJ
bracis-19046	51	14	to	to	PART
bracis-19046	51	15	process	process	VERB
bracis-19046	51	16	new	new	ADJ
bracis-19046	51	17	instances	instance	NOUN
bracis-19046	51	18	since	since	SCONJ
bracis-19046	51	19	the	the	DET
bracis-19046	51	20	data	data	NOUN
bracis-19046	51	21	stream	stream	NOUN
bracis-19046	51	22	is	be	AUX
bracis-19046	51	23	potentially	potentially	ADV
bracis-19046	51	24	unbounded	unbounded	ADJ
bracis-19046	51	25	.	.	PUNCT
bracis-19046	52	1	fig	fig	NOUN
bracis-19046	52	2	.	.	PUNCT
bracis-19046	53	1	2	2	NUM
bracis-19046	53	2	.	.	NOUN
bracis-19046	53	3	example	example	NOUN
bracis-19046	53	4	of	of	ADP
bracis-19046	53	5	general	general	ADJ
bracis-19046	53	6	approaches	approach	NOUN
bracis-19046	53	7	of	of	ADP
bracis-19046	53	8	(	(	PUNCT
bracis-19046	53	9	a	a	PRON
bracis-19046	53	10	)	)	PUNCT
bracis-19046	53	11	traditional	traditional	ADJ
bracis-19046	53	12	(	(	PUNCT
bracis-19046	53	13	batch	batch	NOUN
bracis-19046	53	14	)	)	PUNCT
bracis-19046	53	15	classification	classification	NOUN
bracis-19046	53	16	and	and	CCONJ
bracis-19046	53	17	(	(	PUNCT
bracis-19046	53	18	b	b	NOUN
bracis-19046	53	19	)	)	PUNCT
bracis-19046	53	20	data	datum	NOUN
bracis-19046	53	21	stream	stream	NOUN
bracis-19046	53	22	classification	classification	NOUN
bracis-19046	53	23	.	.	PUNCT
bracis-19046	54	1	an	an	DET
bracis-19046	54	2	input	input	NOUN
bracis-19046	54	3	data	data	NOUN
bracis-19046	54	4	is	be	AUX
bracis-19046	54	5	obtained	obtain	VERB
bracis-19046	54	6	from	from	ADP
bracis-19046	54	7	the	the	DET
bracis-19046	54	8	data	data	NOUN
bracis-19046	54	9	stream	stream	NOUN
bracis-19046	54	10	,	,	PUNCT
bracis-19046	54	11	tested	test	VERB
bracis-19046	54	12	,	,	PUNCT
bracis-19046	54	13	incorporated	incorporate	VERB
bracis-19046	54	14	into	into	ADP
bracis-19046	54	15	the	the	DET
bracis-19046	54	16	model	model	NOUN
bracis-19046	54	17	,	,	PUNCT
bracis-19046	54	18	and	and	CCONJ
bracis-19046	54	19	discarded	discard	VERB
bracis-19046	54	20	;	;	PUNCT
bracis-19046	54	21	then	then	ADV
bracis-19046	54	22	,	,	PUNCT
bracis-19046	54	23	the	the	DET
bracis-19046	54	24	cycle	cycle	NOUN
bracis-19046	54	25	starts	start	VERB
bracis-19046	54	26	again	again	ADV
bracis-19046	54	27	.	.	PUNCT
bracis-19046	55	1	full	full	ADJ
bracis-19046	55	2	size	size	NOUN
bracis-19046	55	3	image	image	NOUN
bracis-19046	55	4	thus	thus	ADV
bracis-19046	55	5	,	,	PUNCT
bracis-19046	55	6	hierarchical	hierarchical	ADJ
bracis-19046	55	7	classification	classification	NOUN
bracis-19046	55	8	of	of	ADP
bracis-19046	55	9	data	datum	NOUN
bracis-19046	55	10	streams	stream	NOUN
bracis-19046	55	11	regards	regard	VERB
bracis-19046	55	12	learning	learn	VERB
bracis-19046	55	13	models	model	NOUN
bracis-19046	55	14	that	that	PRON
bracis-19046	55	15	use	use	VERB
bracis-19046	55	16	hierarchical	hierarchical	ADJ
bracis-19046	55	17	data	datum	NOUN
bracis-19046	55	18	streams	stream	NOUN
bracis-19046	55	19	as	as	ADP
bracis-19046	55	20	input	input	NOUN
bracis-19046	55	21	to	to	ADP
bracis-19046	55	22	their	their	PRON
bracis-19046	55	23	learning	learning	NOUN
bracis-19046	55	24	processes	process	NOUN
bracis-19046	55	25	,	,	PUNCT
bracis-19046	55	26	not	not	PART
bracis-19046	55	27	only	only	ADV
bracis-19046	55	28	as	as	ADP
bracis-19046	55	29	a	a	DET
bracis-19046	55	30	source	source	NOUN
bracis-19046	55	31	of	of	ADP
bracis-19046	55	32	data	datum	NOUN
bracis-19046	55	33	but	but	CCONJ
bracis-19046	55	34	effectively	effectively	ADV
bracis-19046	55	35	processing	processing	NOUN
bracis-19046	55	36	portions	portion	NOUN
bracis-19046	55	37	of	of	ADP
bracis-19046	55	38	the	the	DET
bracis-19046	55	39	data	datum	NOUN
bracis-19046	55	40	over	over	ADP
bracis-19046	55	41	time	time	NOUN
bracis-19046	55	42	,	,	PUNCT
bracis-19046	55	43	using	use	VERB
bracis-19046	55	44	the	the	DET
bracis-19046	55	45	premise	premise	NOUN
bracis-19046	55	46	that	that	SCONJ
bracis-19046	55	47	there	there	PRON
bracis-19046	55	48	is	be	VERB
bracis-19046	55	49	no	no	DET
bracis-19046	55	50	complete	complete	ADJ
bracis-19046	55	51	dataset	dataset	NOUN
bracis-19046	55	52	and	and	CCONJ
bracis-19046	55	53	effectively	effectively	ADV
bracis-19046	55	54	using	use	VERB
bracis-19046	55	55	class	class	NOUN
bracis-19046	55	56	taxonomy	taxonomy	NOUN
bracis-19046	55	57	in	in	ADP
bracis-19046	55	58	their	their	PRON
bracis-19046	55	59	decision	decision	NOUN
bracis-19046	55	60	processes	process	NOUN
bracis-19046	55	61	.	.	PUNCT
bracis-19046	56	1	more	more	ADV
bracis-19046	56	2	formally	formally	ADV
bracis-19046	56	3	,	,	PUNCT
bracis-19046	56	4	we	we	PRON
bracis-19046	56	5	let	let	VERB
bracis-19046	56	6	hds	hds	PROPN
bracis-19046	56	7	define	define	VERB
bracis-19046	56	8	a	a	DET
bracis-19046	56	9	hierarchical	hierarchical	ADJ
bracis-19046	56	10	data	datum	NOUN
bracis-19046	56	11	stream	stream	NOUN
bracis-19046	56	12	in	in	ADP
bracis-19046	56	13	the	the	DET
bracis-19046	56	14	\([(\vec	\([(\vec	PROPN
bracis-19046	56	15	{	{	PUNCT
bracis-19046	56	16	x}^t	x}^t	PROPN
bracis-19046	56	17	,	,	PUNCT
bracis-19046	56	18	\vec	\vec	PROPN
bracis-19046	56	19	{	{	PUNCT
bracis-19046	56	20	y}^t)]_{t=0}^{\infty	y}^t)]_{t=0}^{\infty	PROPN
bracis-19046	56	21	}	}	PUNCT
bracis-19046	56	22	\	\	ADJ
bracis-19046	56	23	)	)	PUNCT
bracis-19046	56	24	format	format	NOUN
bracis-19046	56	25	providing	provide	VERB
bracis-19046	56	26	instances	instance	NOUN
bracis-19046	56	27	\((\vec	\((\vec	X
bracis-19046	56	28	{	{	PUNCT
bracis-19046	56	29	x}^t	x}^t	PROPN
bracis-19046	56	30	,	,	PUNCT
bracis-19046	56	31	\vec	\vec	PROPN
bracis-19046	56	32	{	{	PUNCT
bracis-19046	56	33	y}^t)\	y}^t)\	NUM
bracis-19046	56	34	)	)	PUNCT
bracis-19046	56	35	on	on	ADP
bracis-19046	56	36	a	a	DET
bracis-19046	56	37	specific	specific	ADJ
bracis-19046	56	38	timestamp	timestamp	NOUN
bracis-19046	56	39	t	t	PROPN
bracis-19046	56	40	,	,	PUNCT
bracis-19046	56	41	where	where	SCONJ
bracis-19046	56	42	\(\vec	\(\vec	X
bracis-19046	56	43	{	{	PUNCT
bracis-19046	56	44	x}^t\	x}^t\	X
bracis-19046	56	45	)	)	PUNCT
bracis-19046	56	46	represents	represent	VERB
bracis-19046	56	47	a	a	DET
bracis-19046	56	48	d	d	ADJ
bracis-19046	56	49	-	-	ADJ
bracis-19046	56	50	dimensional	dimensional	ADJ
bracis-19046	56	51	features	feature	NOUN
bracis-19046	56	52	set	set	VERB
bracis-19046	56	53	and	and	CCONJ
bracis-19046	56	54	its	its	PRON
bracis-19046	56	55	values	value	NOUN
bracis-19046	56	56	,	,	PUNCT
bracis-19046	56	57	and	and	CCONJ
bracis-19046	56	58	\(\vec	\(\vec	NOUN
bracis-19046	56	59	{	{	PUNCT
bracis-19046	56	60	y}^t\	y}^t\	X
bracis-19046	56	61	)	)	PUNCT
bracis-19046	56	62	represents	represent	VERB
bracis-19046	56	63	the	the	DET
bracis-19046	56	64	corresponding	corresponding	ADJ
bracis-19046	56	65	ground	ground	NOUN
bracis-19046	56	66	-	-	PUNCT
bracis-19046	56	67	truth	truth	NOUN
bracis-19046	56	68	label	label	NOUN
bracis-19046	56	69	path	path	NOUN
bracis-19046	56	70	(	(	PUNCT
bracis-19046	56	71	hierarchically	hierarchically	ADV
bracis-19046	56	72	structured	structured	ADJ
bracis-19046	56	73	classes	class	NOUN
bracis-19046	56	74	)	)	PUNCT
bracis-19046	56	75	.	.	PUNCT
bracis-19046	57	1	these	these	DET
bracis-19046	57	2	hierarchically	hierarchically	ADV
bracis-19046	57	3	structured	structured	ADJ
bracis-19046	57	4	classes	class	NOUN
bracis-19046	57	5	compose	compose	VERB
bracis-19046	57	6	a	a	DET
bracis-19046	57	7	regular	regular	ADJ
bracis-19046	57	8	concept	concept	NOUN
bracis-19046	57	9	hierarchy	hierarchy	NOUN
bracis-19046	57	10	arranged	arrange	VERB
bracis-19046	57	11	on	on	ADP
bracis-19046	57	12	a	a	DET
bracis-19046	57	13	partially	partially	ADV
bracis-19046	57	14	ordered	order	VERB
bracis-19046	57	15	set	set	VERB
bracis-19046	57	16	\((y	\((y	PROPN
bracis-19046	57	17	,	,	PUNCT
bracis-19046	57	18	\succ	\succ	PROPN
bracis-19046	57	19	)	)	PUNCT
bracis-19046	57	20	\	\	PROPN
bracis-19046	57	21	)	)	PUNCT
bracis-19046	57	22	,	,	PUNCT
bracis-19046	57	23	where	where	SCONJ
bracis-19046	57	24	y	y	PROPN
bracis-19046	57	25	is	be	AUX
bracis-19046	57	26	a	a	DET
bracis-19046	57	27	finite	finite	ADJ
bracis-19046	57	28	set	set	NOUN
bracis-19046	57	29	containing	contain	VERB
bracis-19046	57	30	all	all	DET
bracis-19046	57	31	label	label	NOUN
bracis-19046	57	32	paths	path	NOUN
bracis-19046	57	33	and	and	CCONJ
bracis-19046	57	34	the	the	DET
bracis-19046	57	35	relationship	relationship	NOUN
bracis-19046	57	36	\(\succ	\(\succ	X
bracis-19046	57	37	\	\	PROPN
bracis-19046	57	38	)	)	PUNCT
bracis-19046	57	39	is	be	AUX
bracis-19046	57	40	defined	define	VERB
bracis-19046	57	41	as	as	ADP
bracis-19046	57	42	an	an	DET
bracis-19046	57	43	asymmetric	asymmetric	ADJ
bracis-19046	57	44	,	,	PUNCT
bracis-19046	57	45	anti	anti	ADJ
bracis-19046	57	46	-	-	ADJ
bracis-19046	57	47	reflexive	reflexive	ADJ
bracis-19046	57	48	,	,	PUNCT
bracis-19046	57	49	and	and	CCONJ
bracis-19046	57	50	transitive	transitive	ADJ
bracis-19046	57	51	subsumption	subsumption	NOUN
bracis-19046	57	52	(	(	PUNCT
bracis-19046	57	53	is	be	AUX
bracis-19046	57	54	-	-	PUNCT
bracis-19046	57	55	a	a	PRON
bracis-19046	57	56	)	)	PUNCT
bracis-19046	57	57	relation	relation	NOUN
bracis-19046	57	58	[	[	X
bracis-19046	57	59	35	35	NUM
bracis-19046	57	60	]	]	PUNCT
bracis-19046	57	61	.	.	PUNCT
bracis-19046	58	1	finally	finally	ADV
bracis-19046	58	2	,	,	PUNCT
bracis-19046	58	3	the	the	DET
bracis-19046	58	4	classification	classification	NOUN
bracis-19046	58	5	of	of	ADP
bracis-19046	58	6	hierarchical	hierarchical	ADJ
bracis-19046	58	7	data	datum	NOUN
bracis-19046	58	8	streams	stream	NOUN
bracis-19046	58	9	can	can	AUX
bracis-19046	58	10	be	be	AUX
bracis-19046	58	11	formally	formally	ADV
bracis-19046	58	12	defined	define	VERB
bracis-19046	58	13	as	as	ADP
bracis-19046	58	14	\(f^t:\vec	\(f^t:\vec	X
bracis-19046	58	15	{	{	PUNCT
bracis-19046	58	16	x}^t	x}^t	PROPN
bracis-19046	58	17	\mapsto	\mapsto	PROPN
bracis-19046	58	18	\vec	\vec	PROPN
bracis-19046	58	19	{	{	PUNCT
bracis-19046	58	20	y}^t\	y}^t\	PROPN
bracis-19046	58	21	)	)	PUNCT
bracis-19046	58	22	,	,	PUNCT
bracis-19046	58	23	where	where	SCONJ
bracis-19046	58	24	the	the	DET
bracis-19046	58	25	function	function	NOUN
bracis-19046	58	26	\(f^t\	\(f^t\	NOUN
bracis-19046	58	27	)	)	PUNCT
bracis-19046	58	28	is	be	AUX
bracis-19046	58	29	continuously	continuously	ADV
bracis-19046	58	30	updated	update	VERB
bracis-19046	58	31	by	by	ADP
bracis-19046	58	32	mapping	map	VERB
bracis-19046	58	33	features	feature	NOUN
bracis-19046	58	34	\(\vec	\(\vec	X
bracis-19046	58	35	{	{	PUNCT
bracis-19046	58	36	x}\	x}\	PROPN
bracis-19046	58	37	)	)	PUNCT
bracis-19046	58	38	to	to	ADP
bracis-19046	58	39	the	the	DET
bracis-19046	58	40	corresponding	corresponding	ADJ
bracis-19046	58	41	label	label	NOUN
bracis-19046	58	42	paths	path	NOUN
bracis-19046	58	43	\(\vec	\(\vec	NOUN
bracis-19046	58	44	{	{	PUNCT
bracis-19046	58	45	y}^t\	y}^t\	NOUN
bracis-19046	58	46	)	)	PUNCT
bracis-19046	58	47	accurately	accurately	ADV
bracis-19046	58	48	.	.	PUNCT
bracis-19046	59	1	as	as	SCONJ
bracis-19046	59	2	the	the	DET
bracis-19046	59	3	data	data	NOUN
bracis-19046	59	4	streams	stream	NOUN
bracis-19046	59	5	are	be	AUX
bracis-19046	59	6	potentially	potentially	ADV
bracis-19046	59	7	infinite	infinite	ADJ
bracis-19046	59	8	due	due	ADP
bracis-19046	59	9	to	to	ADP
bracis-19046	59	10	their	their	PRON
bracis-19046	59	11	time	time	NOUN
bracis-19046	59	12	component	component	NOUN
bracis-19046	59	13	,	,	PUNCT
bracis-19046	59	14	learning	learning	NOUN
bracis-19046	59	15	models	model	NOUN
bracis-19046	59	16	are	be	AUX
bracis-19046	59	17	restrained	restrain	VERB
bracis-19046	59	18	by	by	ADP
bracis-19046	59	19	finite	finite	ADJ
bracis-19046	59	20	computational	computational	ADJ
bracis-19046	59	21	resources	resource	NOUN
bracis-19046	59	22	and	and	CCONJ
bracis-19046	59	23	must	must	AUX
bracis-19046	59	24	work	work	VERB
bracis-19046	59	25	with	with	ADP
bracis-19046	59	26	bounded	bounded	ADJ
bracis-19046	59	27	memory	memory	NOUN
bracis-19046	59	28	and	and	CCONJ
bracis-19046	59	29	time	time	NOUN
bracis-19046	59	30	,	,	PUNCT
bracis-19046	59	31	analyzing	analyze	VERB
bracis-19046	59	32	each	each	DET
bracis-19046	59	33	instance	instance	NOUN
bracis-19046	59	34	only	only	ADV
bracis-19046	59	35	once	once	ADV
bracis-19046	59	36	according	accord	VERB
bracis-19046	59	37	to	to	ADP
bracis-19046	59	38	their	their	PRON
bracis-19046	59	39	arrival	arrival	NOUN
bracis-19046	59	40	and	and	CCONJ
bracis-19046	59	41	then	then	ADV
bracis-19046	59	42	discarding	discard	VERB
bracis-19046	59	43	it	it	PRON
bracis-19046	59	44	.	.	PUNCT
bracis-19046	60	1	the	the	DET
bracis-19046	60	2	processing	processing	NOUN
bracis-19046	60	3	time	time	NOUN
bracis-19046	60	4	of	of	ADP
bracis-19046	60	5	an	an	DET
bracis-19046	60	6	incoming	incoming	ADJ
bracis-19046	60	7	instance	instance	NOUN
bracis-19046	60	8	from	from	ADP
bracis-19046	60	9	the	the	DET
bracis-19046	60	10	data	data	NOUN
bracis-19046	60	11	stream	stream	NOUN
bracis-19046	60	12	must	must	AUX
bracis-19046	60	13	not	not	PART
bracis-19046	60	14	surpass	surpass	VERB
bracis-19046	60	15	the	the	DET
bracis-19046	60	16	ratio	ratio	NOUN
bracis-19046	60	17	in	in	ADP
bracis-19046	60	18	which	which	PRON
bracis-19046	60	19	new	new	ADJ
bracis-19046	60	20	instances	instance	NOUN
bracis-19046	60	21	become	become	VERB
bracis-19046	60	22	available	available	ADJ
bracis-19046	60	23	.	.	PUNCT
bracis-19046	61	1	otherwise	otherwise	ADV
bracis-19046	61	2	,	,	PUNCT
bracis-19046	61	3	the	the	DET
bracis-19046	61	4	learning	learning	NOUN
bracis-19046	61	5	model	model	NOUN
bracis-19046	61	6	will	will	AUX
bracis-19046	61	7	need	need	VERB
bracis-19046	61	8	to	to	PART
bracis-19046	61	9	discard	discard	VERB
bracis-19046	61	10	new	new	ADJ
bracis-19046	61	11	instances	instance	NOUN
bracis-19046	61	12	without	without	ADP
bracis-19046	61	13	analyzing	analyze	VERB
bracis-19046	61	14	them	they	PRON
bracis-19046	61	15	[	[	X
bracis-19046	61	16	5	5	NUM
bracis-19046	61	17	,	,	PUNCT
bracis-19046	61	18	10	10	NUM
bracis-19046	61	19	]	]	PUNCT
bracis-19046	61	20	.	.	PUNCT
bracis-19046	62	1	3	3	NUM
bracis-19046	62	2	related	relate	VERB
bracis-19046	62	3	work	work	NOUN
bracis-19046	62	4	machine	machine	NOUN
bracis-19046	62	5	learning	learning	NOUN
bracis-19046	62	6	models	model	NOUN
bracis-19046	62	7	based	base	VERB
bracis-19046	62	8	on	on	ADP
bracis-19046	62	9	the	the	DET
bracis-19046	62	10	bayes	baye	NOUN
bracis-19046	62	11	’	'	PUNCT
bracis-19046	62	12	theorem	theorem	NOUN
bracis-19046	62	13	have	have	AUX
bracis-19046	62	14	been	be	AUX
bracis-19046	62	15	widely	widely	ADV
bracis-19046	62	16	used	use	VERB
bracis-19046	62	17	in	in	ADP
bracis-19046	62	18	classification	classification	NOUN
bracis-19046	62	19	since	since	SCONJ
bracis-19046	62	20	their	their	PRON
bracis-19046	62	21	outputs	output	NOUN
bracis-19046	62	22	are	be	AUX
bracis-19046	62	23	human	human	ADJ
bracis-19046	62	24	-	-	PUNCT
bracis-19046	62	25	readable	readable	ADJ
bracis-19046	62	26	,	,	PUNCT
bracis-19046	62	27	they	they	PRON
bracis-19046	62	28	can	can	AUX
bracis-19046	62	29	naturally	naturally	ADV
bracis-19046	62	30	handle	handle	VERB
bracis-19046	62	31	missing	miss	VERB
bracis-19046	62	32	values	value	NOUN
bracis-19046	62	33	,	,	PUNCT
bracis-19046	62	34	and	and	CCONJ
bracis-19046	62	35	are	be	AUX
bracis-19046	62	36	relatively	relatively	ADV
bracis-19046	62	37	easy	easy	ADJ
bracis-19046	62	38	to	to	PART
bracis-19046	62	39	implement	implement	VERB
bracis-19046	62	40	[	[	X
bracis-19046	62	41	22	22	NUM
bracis-19046	62	42	,	,	PUNCT
bracis-19046	62	43	36	36	NUM
bracis-19046	62	44	]	]	PUNCT
bracis-19046	62	45	.	.	PUNCT
bracis-19046	63	1	in	in	ADP
bracis-19046	63	2	hierarchical	hierarchical	ADJ
bracis-19046	63	3	classification	classification	NOUN
bracis-19046	63	4	,	,	PUNCT
bracis-19046	63	5	bayesian	bayesian	NOUN
bracis-19046	63	6	classifiers	classifier	NOUN
bracis-19046	63	7	were	be	AUX
bracis-19046	63	8	used	use	VERB
bracis-19046	63	9	with	with	ADP
bracis-19046	63	10	different	different	ADJ
bracis-19046	63	11	levels	level	NOUN
bracis-19046	63	12	of	of	ADP
bracis-19046	63	13	adaptation	adaptation	NOUN
bracis-19046	63	14	.	.	PUNCT
bracis-19046	64	1	the	the	DET
bracis-19046	64	2	authors	author	NOUN
bracis-19046	64	3	in	in	ADP
bracis-19046	64	4	[	[	X
bracis-19046	64	5	14	14	NUM
bracis-19046	64	6	]	]	PUNCT
bracis-19046	64	7	used	use	VERB
bracis-19046	64	8	bayesian	bayesian	NOUN
bracis-19046	64	9	probabilities	probability	NOUN
bracis-19046	64	10	attached	attach	VERB
bracis-19046	64	11	to	to	ADP
bracis-19046	64	12	each	each	DET
bracis-19046	64	13	node	node	NOUN
bracis-19046	64	14	in	in	ADP
bracis-19046	64	15	the	the	DET
bracis-19046	64	16	hierarchy	hierarchy	NOUN
bracis-19046	64	17	using	use	VERB
bracis-19046	64	18	a	a	DET
bracis-19046	64	19	local	local	ADJ
bracis-19046	64	20	classifier	classifier	NOUN
bracis-19046	64	21	per	per	ADP
bracis-19046	64	22	node	node	ADJ
bracis-19046	64	23	approach	approach	NOUN
bracis-19046	64	24	[	[	X
bracis-19046	64	25	35	35	NUM
bracis-19046	64	26	]	]	PUNCT
bracis-19046	64	27	and	and	CCONJ
bracis-19046	64	28	a	a	DET
bracis-19046	64	29	top	top	ADJ
bracis-19046	64	30	-	-	PUNCT
bracis-19046	64	31	down	down	ADP
bracis-19046	64	32	strategy	strategy	NOUN
bracis-19046	64	33	to	to	PART
bracis-19046	64	34	analyze	analyze	VERB
bracis-19046	64	35	the	the	DET
bracis-19046	64	36	binary	binary	ADJ
bracis-19046	64	37	predictions	prediction	NOUN
bracis-19046	64	38	along	along	ADP
bracis-19046	64	39	with	with	ADP
bracis-19046	64	40	the	the	DET
bracis-19046	64	41	hierarchical	hierarchical	ADJ
bracis-19046	64	42	structure	structure	NOUN
bracis-19046	64	43	.	.	PUNCT
bracis-19046	65	1	similarly	similarly	ADV
bracis-19046	65	2	,	,	PUNCT
bracis-19046	65	3	the	the	DET
bracis-19046	65	4	authors	author	NOUN
bracis-19046	65	5	in	in	ADP
bracis-19046	65	6	[	[	X
bracis-19046	65	7	13	13	NUM
bracis-19046	65	8	]	]	PUNCT
bracis-19046	65	9	used	use	VERB
bracis-19046	65	10	binary	binary	ADJ
bracis-19046	65	11	classifiers	classifier	NOUN
bracis-19046	65	12	for	for	ADP
bracis-19046	65	13	each	each	DET
bracis-19046	65	14	class	class	NOUN
bracis-19046	65	15	in	in	ADP
bracis-19046	65	16	the	the	DET
bracis-19046	65	17	hierarchy	hierarchy	NOUN
bracis-19046	65	18	considering	consider	VERB
bracis-19046	65	19	both	both	CCONJ
bracis-19046	65	20	the	the	DET
bracis-19046	65	21	parent	parent	NOUN
bracis-19046	65	22	and	and	CCONJ
bracis-19046	65	23	child	child	NOUN
bracis-19046	65	24	classes	class	NOUN
bracis-19046	65	25	of	of	ADP
bracis-19046	65	26	the	the	DET
bracis-19046	65	27	current	current	ADJ
bracis-19046	65	28	class	class	NOUN
bracis-19046	65	29	.	.	PUNCT
bracis-19046	66	1	in	in	ADP
bracis-19046	66	2	the	the	DET
bracis-19046	66	3	works	work	NOUN
bracis-19046	66	4	of	of	ADP
bracis-19046	66	5	[	[	X
bracis-19046	66	6	7	7	NUM
bracis-19046	66	7	,	,	PUNCT
bracis-19046	66	8	45	45	NUM
bracis-19046	66	9	]	]	PUNCT
bracis-19046	66	10	,	,	PUNCT
bracis-19046	66	11	the	the	DET
bracis-19046	66	12	authors	author	NOUN
bracis-19046	66	13	also	also	ADV
bracis-19046	66	14	used	use	VERB
bracis-19046	66	15	bayes	bayes	PROPN
bracis-19046	66	16	-	-	PUNCT
bracis-19046	66	17	based	base	VERB
bracis-19046	66	18	classifiers	classifier	NOUN
bracis-19046	66	19	within	within	ADP
bracis-19046	66	20	a	a	DET
bracis-19046	66	21	local	local	ADJ
bracis-19046	66	22	classifier	classifier	NOUN
bracis-19046	66	23	per	per	ADP
bracis-19046	66	24	node	node	NOUN
bracis-19046	66	25	approach	approach	NOUN
bracis-19046	66	26	but	but	CCONJ
bracis-19046	66	27	to	to	PART
bracis-19046	66	28	perform	perform	VERB
bracis-19046	66	29	hierarchical	hierarchical	ADJ
bracis-19046	66	30	multilabel	multilabel	NOUN
bracis-19046	66	31	classification	classification	NOUN
bracis-19046	66	32	.	.	PUNCT
bracis-19046	67	1	finally	finally	ADV
bracis-19046	67	2	,	,	PUNCT
bracis-19046	67	3	the	the	DET
bracis-19046	67	4	authors	author	NOUN
bracis-19046	67	5	in	in	ADP
bracis-19046	67	6	[	[	X
bracis-19046	67	7	36	36	NUM
bracis-19046	67	8	]	]	PUNCT
bracis-19046	67	9	proposed	propose	VERB
bracis-19046	67	10	a	a	DET
bracis-19046	67	11	naive	naive	ADJ
bracis-19046	67	12	bayes	bayes	NOUN
bracis-19046	67	13	fitted	fit	VERB
bracis-19046	67	14	to	to	ADP
bracis-19046	67	15	the	the	DET
bracis-19046	67	16	hierarchical	hierarchical	ADJ
bracis-19046	67	17	classification	classification	NOUN
bracis-19046	67	18	using	use	VERB
bracis-19046	67	19	a	a	DET
bracis-19046	67	20	global	global	ADJ
bracis-19046	67	21	approach	approach	NOUN
bracis-19046	67	22	[	[	X
bracis-19046	67	23	35	35	NUM
bracis-19046	67	24	]	]	PUNCT
bracis-19046	67	25	.	.	PUNCT
bracis-19046	68	1	a	a	DET
bracis-19046	68	2	bayesian	bayesian	NOUN
bracis-19046	68	3	classifier	classifier	NOUN
bracis-19046	68	4	fitted	fit	VERB
bracis-19046	68	5	to	to	PART
bracis-19046	68	6	handle	handle	VERB
bracis-19046	68	7	hierarchical	hierarchical	ADJ
bracis-19046	68	8	classification	classification	NOUN
bracis-19046	68	9	needs	need	NOUN
bracis-19046	68	10	to	to	PART
bracis-19046	68	11	be	be	AUX
bracis-19046	68	12	adapted	adapt	VERB
bracis-19046	68	13	,	,	PUNCT
bracis-19046	68	14	at	at	ADP
bracis-19046	68	15	least	least	ADJ
bracis-19046	68	16	,	,	PUNCT
bracis-19046	68	17	to	to	PART
bracis-19046	68	18	consider	consider	VERB
bracis-19046	68	19	the	the	DET
bracis-19046	68	20	relationship	relationship	NOUN
bracis-19046	68	21	between	between	ADP
bracis-19046	68	22	the	the	DET
bracis-19046	68	23	hierarchically	hierarchically	ADV
bracis-19046	68	24	structured	structured	ADJ
bracis-19046	68	25	classes	class	NOUN
bracis-19046	68	26	in	in	ADP
bracis-19046	68	27	the	the	DET
bracis-19046	68	28	calculation	calculation	NOUN
bracis-19046	68	29	of	of	ADP
bracis-19046	68	30	probabilities	probability	NOUN
bracis-19046	68	31	[	[	X
bracis-19046	68	32	36	36	NUM
bracis-19046	68	33	]	]	PUNCT
bracis-19046	68	34	.	.	PUNCT
bracis-19046	69	1	in	in	ADP
bracis-19046	69	2	data	datum	NOUN
bracis-19046	69	3	stream	stream	NOUN
bracis-19046	69	4	classification	classification	NOUN
bracis-19046	69	5	,	,	PUNCT
bracis-19046	69	6	incremental	incremental	ADJ
bracis-19046	69	7	adaptations	adaptation	NOUN
bracis-19046	69	8	of	of	ADP
bracis-19046	69	9	bayesian	bayesian	NOUN
bracis-19046	69	10	classifiers	classifier	NOUN
bracis-19046	69	11	have	have	AUX
bracis-19046	69	12	been	be	AUX
bracis-19046	69	13	widely	widely	ADV
bracis-19046	69	14	studied	study	VERB
bracis-19046	69	15	and	and	CCONJ
bracis-19046	69	16	are	be	AUX
bracis-19046	69	17	also	also	ADV
bracis-19046	69	18	widely	widely	ADV
bracis-19046	69	19	applied	apply	VERB
bracis-19046	69	20	in	in	ADP
bracis-19046	69	21	state	state	NOUN
bracis-19046	69	22	-	-	PUNCT
bracis-19046	69	23	of	of	ADP
bracis-19046	69	24	-	-	PUNCT
bracis-19046	69	25	the	the	DET
bracis-19046	69	26	-	-	PUNCT
bracis-19046	69	27	art	art	NOUN
bracis-19046	69	28	algorithms	algorithm	NOUN
bracis-19046	69	29	.	.	PUNCT
bracis-19046	70	1	data	datum	NOUN
bracis-19046	70	2	stream	stream	PROPN
bracis-19046	70	3	classification	classification	NOUN
bracis-19046	70	4	can	can	AUX
bracis-19046	70	5	be	be	AUX
bracis-19046	70	6	handled	handle	VERB
bracis-19046	70	7	by	by	ADP
bracis-19046	70	8	a	a	DET
bracis-19046	70	9	naive	naive	ADJ
bracis-19046	70	10	bayes	bayes	NOUN
bracis-19046	70	11	classifier	classifier	NOUN
bracis-19046	70	12	in	in	ADP
bracis-19046	70	13	a	a	DET
bracis-19046	70	14	straightforward	straightforward	ADJ
bracis-19046	70	15	manner	manner	NOUN
bracis-19046	70	16	,	,	PUNCT
bracis-19046	70	17	since	since	SCONJ
bracis-19046	70	18	the	the	DET
bracis-19046	70	19	learning	learning	NOUN
bracis-19046	70	20	model	model	NOUN
bracis-19046	70	21	only	only	ADV
bracis-19046	70	22	needs	need	VERB
bracis-19046	70	23	to	to	PART
bracis-19046	70	24	incrementally	incrementally	ADV
bracis-19046	70	25	store	store	VERB
bracis-19046	70	26	summaries	summary	NOUN
bracis-19046	70	27	of	of	ADP
bracis-19046	70	28	data	datum	NOUN
bracis-19046	70	29	that	that	PRON
bracis-19046	70	30	allow	allow	VERB
bracis-19046	70	31	the	the	DET
bracis-19046	70	32	probabilities	probability	NOUN
bracis-19046	70	33	calculations	calculation	NOUN
bracis-19046	70	34	as	as	SCONJ
bracis-19046	70	35	new	new	ADJ
bracis-19046	70	36	instances	instance	NOUN
bracis-19046	70	37	are	be	AUX
bracis-19046	70	38	provided	provide	VERB
bracis-19046	70	39	from	from	ADP
bracis-19046	70	40	the	the	DET
bracis-19046	70	41	data	data	NOUN
bracis-19046	70	42	stream	stream	NOUN
bracis-19046	70	43	[	[	X
bracis-19046	70	44	25	25	NUM
bracis-19046	70	45	]	]	PUNCT
bracis-19046	70	46	.	.	PUNCT
bracis-19046	71	1	the	the	DET
bracis-19046	71	2	authors	author	NOUN
bracis-19046	71	3	in	in	ADP
bracis-19046	71	4	[	[	X
bracis-19046	71	5	3	3	NUM
bracis-19046	71	6	]	]	PUNCT
bracis-19046	71	7	introduced	introduce	VERB
bracis-19046	71	8	the	the	DET
bracis-19046	71	9	idea	idea	NOUN
bracis-19046	71	10	of	of	ADP
bracis-19046	71	11	recalculating	recalculate	VERB
bracis-19046	71	12	probabilities	probability	NOUN
bracis-19046	71	13	for	for	ADP
bracis-19046	71	14	each	each	DET
bracis-19046	71	15	instance	instance	NOUN
bracis-19046	71	16	provided	provide	VERB
bracis-19046	71	17	to	to	ADP
bracis-19046	71	18	a	a	DET
bracis-19046	71	19	model	model	NOUN
bracis-19046	71	20	and	and	CCONJ
bracis-19046	71	21	this	this	DET
bracis-19046	71	22	idea	idea	NOUN
bracis-19046	71	23	was	be	AUX
bracis-19046	71	24	later	later	ADV
bracis-19046	71	25	reinforced	reinforce	VERB
bracis-19046	71	26	by	by	ADP
bracis-19046	71	27	the	the	DET
bracis-19046	71	28	authors	author	NOUN
bracis-19046	71	29	in	in	ADP
bracis-19046	71	30	[	[	X
bracis-19046	71	31	2	2	NUM
bracis-19046	71	32	,	,	PUNCT
bracis-19046	71	33	25	25	NUM
bracis-19046	71	34	]	]	PUNCT
bracis-19046	71	35	.	.	PUNCT
bracis-19046	72	1	in	in	ADP
bracis-19046	72	2	the	the	DET
bracis-19046	72	3	work	work	NOUN
bracis-19046	72	4	[	[	X
bracis-19046	72	5	33	33	NUM
bracis-19046	72	6	]	]	PUNCT
bracis-19046	72	7	,	,	PUNCT
bracis-19046	72	8	the	the	DET
bracis-19046	72	9	authors	author	NOUN
bracis-19046	72	10	proposed	propose	VERB
bracis-19046	72	11	an	an	DET
bracis-19046	72	12	incremental	incremental	ADJ
bracis-19046	72	13	bayes	bayes	NOUN
bracis-19046	72	14	tree	tree	NOUN
bracis-19046	72	15	based	base	VERB
bracis-19046	72	16	on	on	ADP
bracis-19046	72	17	statistical	statistical	ADJ
bracis-19046	72	18	summaries	summary	NOUN
bracis-19046	72	19	of	of	ADP
bracis-19046	72	20	data	datum	NOUN
bracis-19046	72	21	which	which	PRON
bracis-19046	72	22	are	be	AUX
bracis-19046	72	23	updated	update	VERB
bracis-19046	72	24	with	with	ADP
bracis-19046	72	25	each	each	DET
bracis-19046	72	26	incoming	incoming	ADJ
bracis-19046	72	27	instance	instance	NOUN
bracis-19046	72	28	.	.	PUNCT
bracis-19046	73	1	the	the	DET
bracis-19046	73	2	authors	author	NOUN
bracis-19046	73	3	in	in	ADP
bracis-19046	73	4	[	[	X
bracis-19046	73	5	9	9	NUM
bracis-19046	73	6	]	]	PUNCT
bracis-19046	73	7	used	use	VERB
bracis-19046	73	8	naive	naive	ADJ
bracis-19046	73	9	bayes	bayes	NOUN
bracis-19046	73	10	classifiers	classifier	NOUN
bracis-19046	73	11	ensembled	ensemble	VERB
bracis-19046	73	12	with	with	ADP
bracis-19046	73	13	other	other	ADJ
bracis-19046	73	14	tree	tree	NOUN
bracis-19046	73	15	-	-	PUNCT
bracis-19046	73	16	based	base	VERB
bracis-19046	73	17	classifiers	classifier	NOUN
bracis-19046	73	18	to	to	PART
bracis-19046	73	19	improve	improve	VERB
bracis-19046	73	20	specific	specific	ADJ
bracis-19046	73	21	leaf	leaf	NOUN
bracis-19046	73	22	node	node	NOUN
bracis-19046	73	23	predictions	prediction	NOUN
bracis-19046	73	24	.	.	PUNCT
bracis-19046	74	1	finally	finally	ADV
bracis-19046	74	2	,	,	PUNCT
bracis-19046	74	3	the	the	DET
bracis-19046	74	4	authors	author	NOUN
bracis-19046	74	5	in	in	ADP
bracis-19046	74	6	[	[	X
bracis-19046	74	7	4	4	NUM
bracis-19046	74	8	]	]	PUNCT
bracis-19046	74	9	also	also	ADV
bracis-19046	74	10	used	use	VERB
bracis-19046	74	11	incremental	incremental	ADJ
bracis-19046	74	12	statistical	statistical	ADJ
bracis-19046	74	13	summaries	summary	NOUN
bracis-19046	74	14	to	to	PART
bracis-19046	74	15	restrain	restrain	VERB
bracis-19046	74	16	a	a	DET
bracis-19046	74	17	naive	naive	ADJ
bracis-19046	74	18	bayes	bayes	NOUN
bracis-19046	74	19	classifier	classifier	NOUN
bracis-19046	74	20	and	and	CCONJ
bracis-19046	74	21	cope	cope	VERB
bracis-19046	74	22	with	with	ADP
bracis-19046	74	23	limited	limited	ADJ
bracis-19046	74	24	computational	computational	ADJ
bracis-19046	74	25	resources	resource	NOUN
bracis-19046	74	26	.	.	PUNCT
bracis-19046	75	1	it	it	PRON
bracis-19046	75	2	is	be	AUX
bracis-19046	75	3	noteworthy	noteworthy	ADJ
bracis-19046	75	4	,	,	PUNCT
bracis-19046	75	5	nonetheless	nonetheless	ADV
bracis-19046	75	6	,	,	PUNCT
bracis-19046	75	7	to	to	PART
bracis-19046	75	8	highlight	highlight	VERB
bracis-19046	75	9	the	the	DET
bracis-19046	75	10	work	work	NOUN
bracis-19046	75	11	of	of	ADP
bracis-19046	75	12	[	[	X
bracis-19046	75	13	28	28	NUM
bracis-19046	75	14	]	]	PUNCT
bracis-19046	75	15	,	,	PUNCT
bracis-19046	75	16	where	where	SCONJ
bracis-19046	75	17	the	the	DET
bracis-19046	75	18	authors	author	NOUN
bracis-19046	75	19	proposed	propose	VERB
bracis-19046	75	20	an	an	DET
bracis-19046	75	21	incremental	incremental	ADJ
bracis-19046	75	22	k	k	ADV
bracis-19046	75	23	-	-	PUNCT
bracis-19046	75	24	nearest	near	ADJ
bracis-19046	75	25	neighbors	neighbor	NOUN
bracis-19046	75	26	(	(	PUNCT
bracis-19046	75	27	knn	knn	PROPN
bracis-19046	75	28	)	)	PUNCT
bracis-19046	76	1	[	[	X
bracis-19046	76	2	1	1	X
bracis-19046	76	3	]	]	PUNCT
bracis-19046	76	4	approach	approach	NOUN
bracis-19046	76	5	for	for	ADP
bracis-19046	76	6	the	the	DET
bracis-19046	76	7	hierarchical	hierarchical	ADJ
bracis-19046	76	8	classification	classification	NOUN
bracis-19046	76	9	of	of	ADP
bracis-19046	76	10	data	datum	NOUN
bracis-19046	76	11	streams	stream	NOUN
bracis-19046	76	12	.	.	PUNCT
bracis-19046	77	1	this	this	PRON
bracis-19046	77	2	can	can	AUX
bracis-19046	77	3	be	be	AUX
bracis-19046	77	4	considered	consider	VERB
bracis-19046	77	5	a	a	DET
bracis-19046	77	6	seminal	seminal	ADJ
bracis-19046	77	7	work	work	NOUN
bracis-19046	77	8	of	of	ADP
bracis-19046	77	9	the	the	DET
bracis-19046	77	10	area	area	NOUN
bracis-19046	77	11	,	,	PUNCT
bracis-19046	77	12	yet	yet	ADV
bracis-19046	77	13	,	,	PUNCT
bracis-19046	77	14	it	it	PRON
bracis-19046	77	15	does	do	AUX
bracis-19046	77	16	depict	depict	VERB
bracis-19046	77	17	drawbacks	drawback	NOUN
bracis-19046	77	18	such	such	ADJ
bracis-19046	77	19	as	as	SCONJ
bracis-19046	77	20	knn	knn	PROPN
bracis-19046	77	21	relies	rely	VERB
bracis-19046	77	22	on	on	ADP
bracis-19046	77	23	distance	distance	NOUN
bracis-19046	77	24	computations	computation	NOUN
bracis-19046	77	25	,	,	PUNCT
bracis-19046	77	26	which	which	PRON
bracis-19046	77	27	are	be	AUX
bracis-19046	77	28	computationally	computationally	ADV
bracis-19046	77	29	intensive	intensive	ADJ
bracis-19046	77	30	and	and	CCONJ
bracis-19046	77	31	can	can	AUX
bracis-19046	77	32	put	put	VERB
bracis-19046	77	33	in	in	ADP
bracis-19046	77	34	jeopardy	jeopardy	NOUN
bracis-19046	77	35	time	time	NOUN
bracis-19046	77	36	and	and	CCONJ
bracis-19046	77	37	memory	memory	NOUN
bracis-19046	77	38	usage	usage	NOUN
bracis-19046	77	39	constraints	constraint	NOUN
bracis-19046	77	40	required	require	VERB
bracis-19046	77	41	by	by	ADP
bracis-19046	77	42	streaming	stream	VERB
bracis-19046	77	43	scenarios	scenario	NOUN
bracis-19046	77	44	[	[	X
bracis-19046	77	45	27	27	NUM
bracis-19046	77	46	,	,	PUNCT
bracis-19046	77	47	38	38	NUM
bracis-19046	77	48	]	]	PUNCT
bracis-19046	77	49	.	.	PUNCT
bracis-19046	78	1	in	in	ADP
bracis-19046	78	2	this	this	DET
bracis-19046	78	3	sense	sense	NOUN
bracis-19046	78	4	,	,	PUNCT
bracis-19046	78	5	in	in	ADP
bracis-19046	78	6	sect	sect	NOUN
bracis-19046	78	7	.	.	PUNCT
bracis-19046	78	8	 	 	SPACE
bracis-19046	78	9	5	5	NUM
bracis-19046	78	10	,	,	PUNCT
bracis-19046	78	11	we	we	PRON
bracis-19046	78	12	compare	compare	VERB
bracis-19046	78	13	our	our	PRON
bracis-19046	78	14	proposal	proposal	NOUN
bracis-19046	78	15	(	(	PUNCT
bracis-19046	78	16	gnb	gnb	PROPN
bracis-19046	78	17	-	-	PUNCT
bracis-19046	78	18	hds	hds	PROPN
bracis-19046	78	19	)	)	PUNCT
bracis-19046	78	20	against	against	ADP
bracis-19046	78	21	the	the	DET
bracis-19046	78	22	one	one	NOUN
bracis-19046	78	23	proposed	propose	VERB
bracis-19046	78	24	in	in	ADP
bracis-19046	78	25	[	[	X
bracis-19046	78	26	28	28	NUM
bracis-19046	78	27	]	]	PUNCT
bracis-19046	78	28	and	and	CCONJ
bracis-19046	78	29	show	show	VERB
bracis-19046	78	30	that	that	SCONJ
bracis-19046	78	31	gnb	gnb	PROPN
bracis-19046	78	32	-	-	PUNCT
bracis-19046	78	33	hds	hds	PROPN
bracis-19046	78	34	uses	use	VERB
bracis-19046	78	35	bayes	bayes	PROPN
bracis-19046	78	36	probabilities	probability	NOUN
bracis-19046	78	37	to	to	PART
bracis-19046	78	38	obtain	obtain	VERB
bracis-19046	78	39	competitive	competitive	ADJ
bracis-19046	78	40	prediction	prediction	NOUN
bracis-19046	78	41	correctness	correctness	NOUN
bracis-19046	78	42	with	with	ADP
bracis-19046	78	43	better	well	ADJ
bracis-19046	78	44	computational	computational	ADJ
bracis-19046	78	45	performance	performance	NOUN
bracis-19046	78	46	.	.	PUNCT
bracis-19046	79	1	4	4	NUM
bracis-19046	79	2	proposed	propose	VERB
bracis-19046	79	3	method	method	NOUN
bracis-19046	79	4	our	our	PRON
bracis-19046	79	5	proposal	proposal	NOUN
bracis-19046	79	6	,	,	PUNCT
bracis-19046	79	7	hereafter	hereafter	ADV
bracis-19046	79	8	referred	refer	VERB
bracis-19046	79	9	to	to	ADP
bracis-19046	79	10	as	as	ADP
bracis-19046	79	11	gaussian	gaussian	ADJ
bracis-19046	79	12	naive	naive	ADJ
bracis-19046	79	13	bayes	bayes	NOUN
bracis-19046	79	14	for	for	ADP
bracis-19046	79	15	hierarchical	hierarchical	ADJ
bracis-19046	79	16	data	datum	NOUN
bracis-19046	79	17	streams	stream	NOUN
bracis-19046	79	18	(	(	PUNCT
bracis-19046	79	19	gnb	gnb	PROPN
bracis-19046	79	20	-	-	PUNCT
bracis-19046	79	21	hds	hds	PROPN
bracis-19046	79	22	)	)	PUNCT
bracis-19046	79	23	,	,	PUNCT
bracis-19046	79	24	is	be	AUX
bracis-19046	79	25	an	an	DET
bracis-19046	79	26	incremental	incremental	ADJ
bracis-19046	79	27	method	method	NOUN
bracis-19046	79	28	for	for	ADP
bracis-19046	79	29	the	the	DET
bracis-19046	79	30	hierarchical	hierarchical	ADJ
bracis-19046	79	31	classification	classification	NOUN
bracis-19046	79	32	of	of	ADP
bracis-19046	79	33	data	datum	NOUN
bracis-19046	79	34	streams	stream	NOUN
bracis-19046	79	35	based	base	VERB
bracis-19046	79	36	on	on	ADP
bracis-19046	79	37	the	the	DET
bracis-19046	79	38	naive	naive	ADJ
bracis-19046	79	39	bayes	bayes	NOUN
bracis-19046	79	40	technique	technique	NOUN
bracis-19046	79	41	[	[	X
bracis-19046	79	42	11	11	NUM
bracis-19046	79	43	,	,	PUNCT
bracis-19046	79	44	18	18	NUM
bracis-19046	79	45	]	]	PUNCT
bracis-19046	79	46	.	.	PUNCT
bracis-19046	80	1	the	the	DET
bracis-19046	80	2	main	main	ADJ
bracis-19046	80	3	idea	idea	NOUN
bracis-19046	80	4	behind	behind	ADP
bracis-19046	80	5	gnb	gnb	PROPN
bracis-19046	80	6	-	-	PUNCT
bracis-19046	80	7	hds	hds	PROPN
bracis-19046	80	8	is	be	AUX
bracis-19046	80	9	the	the	DET
bracis-19046	80	10	use	use	NOUN
bracis-19046	80	11	of	of	ADP
bracis-19046	80	12	incremental	incremental	ADJ
bracis-19046	80	13	data	datum	NOUN
bracis-19046	80	14	summaries	summary	NOUN
bracis-19046	80	15	,	,	PUNCT
bracis-19046	80	16	specifically	specifically	ADV
bracis-19046	80	17	the	the	DET
bracis-19046	80	18	mean	mean	ADJ
bracis-19046	80	19	,	,	PUNCT
bracis-19046	80	20	standard	standard	ADJ
bracis-19046	80	21	deviation	deviation	NOUN
bracis-19046	80	22	,	,	PUNCT
bracis-19046	80	23	and	and	CCONJ
bracis-19046	80	24	the	the	DET
bracis-19046	80	25	number	number	NOUN
bracis-19046	80	26	of	of	ADP
bracis-19046	80	27	data	datum	NOUN
bracis-19046	80	28	instances	instance	NOUN
bracis-19046	80	29	,	,	PUNCT
bracis-19046	80	30	that	that	PRON
bracis-19046	80	31	allow	allow	VERB
bracis-19046	80	32	the	the	DET
bracis-19046	80	33	calculation	calculation	NOUN
bracis-19046	80	34	of	of	ADP
bracis-19046	80	35	probabilities	probability	NOUN
bracis-19046	80	36	used	use	VERB
bracis-19046	80	37	in	in	ADP
bracis-19046	80	38	the	the	DET
bracis-19046	80	39	bayes	baye	NOUN
bracis-19046	80	40	’	'	PUNCT
bracis-19046	80	41	theorem	theorem	VERB
bracis-19046	80	42	[	[	PUNCT
bracis-19046	80	43	11	11	NUM
bracis-19046	80	44	,	,	PUNCT
bracis-19046	80	45	22	22	NUM
bracis-19046	80	46	]	]	PUNCT
bracis-19046	80	47	.	.	PUNCT
bracis-19046	81	1	these	these	DET
bracis-19046	81	2	incremental	incremental	ADJ
bracis-19046	81	3	data	datum	NOUN
bracis-19046	81	4	summaries	summary	NOUN
bracis-19046	81	5	are	be	AUX
bracis-19046	81	6	attached	attach	VERB
bracis-19046	81	7	to	to	ADP
bracis-19046	81	8	nodes	node	NOUN
bracis-19046	81	9	of	of	ADP
bracis-19046	81	10	the	the	DET
bracis-19046	81	11	hierarchy	hierarchy	NOUN
bracis-19046	81	12	and	and	CCONJ
bracis-19046	81	13	are	be	AUX
bracis-19046	81	14	updated	update	VERB
bracis-19046	81	15	as	as	SCONJ
bracis-19046	81	16	new	new	ADJ
bracis-19046	81	17	instances	instance	NOUN
bracis-19046	81	18	are	be	AUX
bracis-19046	81	19	gathered	gather	VERB
bracis-19046	81	20	from	from	ADP
bracis-19046	81	21	the	the	DET
bracis-19046	81	22	data	data	NOUN
bracis-19046	81	23	stream	stream	NOUN
bracis-19046	81	24	.	.	PUNCT
bracis-19046	82	1	we	we	PRON
bracis-19046	82	2	implemented	implement	VERB
bracis-19046	82	3	two	two	NUM
bracis-19046	82	4	key	key	ADJ
bracis-19046	82	5	adaptations	adaptation	NOUN
bracis-19046	82	6	in	in	ADP
bracis-19046	82	7	the	the	DET
bracis-19046	82	8	traditional	traditional	ADJ
bracis-19046	82	9	naive	naive	ADJ
bracis-19046	82	10	bayes	bayes	NOUN
bracis-19046	82	11	classifier	classifier	NOUN
bracis-19046	82	12	to	to	PART
bracis-19046	82	13	make	make	VERB
bracis-19046	82	14	it	it	PRON
bracis-19046	82	15	handle	handle	VERB
bracis-19046	82	16	hierarchical	hierarchical	ADJ
bracis-19046	82	17	data	datum	NOUN
bracis-19046	82	18	streams	stream	NOUN
bracis-19046	82	19	:	:	PUNCT
bracis-19046	82	20	regarding	regard	VERB
bracis-19046	82	21	the	the	DET
bracis-19046	82	22	hierarchical	hierarchical	ADJ
bracis-19046	82	23	data	data	NOUN
bracis-19046	82	24	structure	structure	NOUN
bracis-19046	82	25	,	,	PUNCT
bracis-19046	82	26	the	the	DET
bracis-19046	82	27	original	original	ADJ
bracis-19046	82	28	algorithm	algorithm	NOUN
bracis-19046	82	29	was	be	AUX
bracis-19046	82	30	modified	modify	VERB
bracis-19046	82	31	to	to	PART
bracis-19046	82	32	consider	consider	VERB
bracis-19046	82	33	not	not	PART
bracis-19046	82	34	only	only	ADV
bracis-19046	82	35	one	one	NUM
bracis-19046	82	36	class	class	NOUN
bracis-19046	82	37	but	but	CCONJ
bracis-19046	82	38	all	all	DET
bracis-19046	82	39	related	related	ADJ
bracis-19046	82	40	classes	class	NOUN
bracis-19046	82	41	of	of	ADP
bracis-19046	82	42	a	a	DET
bracis-19046	82	43	given	give	VERB
bracis-19046	82	44	instance	instance	NOUN
bracis-19046	82	45	.	.	PUNCT
bracis-19046	83	1	as	as	SCONJ
bracis-19046	83	2	the	the	DET
bracis-19046	83	3	hierarchical	hierarchical	ADJ
bracis-19046	83	4	data	data	NOUN
bracis-19046	83	5	structure	structure	NOUN
bracis-19046	83	6	represents	represent	VERB
bracis-19046	83	7	a	a	DET
bracis-19046	83	8	subsumption	subsumption	NOUN
bracis-19046	83	9	relation	relation	NOUN
bracis-19046	83	10	,	,	PUNCT
bracis-19046	83	11	any	any	DET
bracis-19046	83	12	new	new	ADJ
bracis-19046	83	13	instance	instance	NOUN
bracis-19046	83	14	provided	provide	VERB
bracis-19046	83	15	from	from	ADP
bracis-19046	83	16	the	the	DET
bracis-19046	83	17	data	data	NOUN
bracis-19046	83	18	stream	stream	NOUN
bracis-19046	83	19	also	also	ADV
bracis-19046	83	20	belongs	belong	VERB
bracis-19046	83	21	to	to	ADP
bracis-19046	83	22	its	its	PRON
bracis-19046	83	23	ancestors	ancestor	NOUN
bracis-19046	83	24	.	.	PUNCT
bracis-19046	84	1	thus	thus	ADV
bracis-19046	84	2	,	,	PUNCT
bracis-19046	84	3	we	we	PRON
bracis-19046	84	4	traverse	traverse	VERB
bracis-19046	84	5	the	the	DET
bracis-19046	84	6	hierarchy	hierarchy	NOUN
bracis-19046	84	7	to	to	PART
bracis-19046	84	8	update	update	VERB
bracis-19046	84	9	all	all	DET
bracis-19046	84	10	data	datum	NOUN
bracis-19046	84	11	summaries	summary	NOUN
bracis-19046	84	12	of	of	ADP
bracis-19046	84	13	parent	parent	NOUN
bracis-19046	84	14	nodes	nod	VERB
bracis-19046	84	15	recursively	recursively	ADV
bracis-19046	84	16	until	until	ADP
bracis-19046	84	17	the	the	DET
bracis-19046	84	18	root	root	NOUN
bracis-19046	84	19	node	node	NOUN
bracis-19046	84	20	of	of	ADP
bracis-19046	84	21	the	the	DET
bracis-19046	84	22	hierarchy	hierarchy	NOUN
bracis-19046	84	23	.	.	PUNCT
bracis-19046	85	1	regarding	regard	VERB
bracis-19046	85	2	the	the	DET
bracis-19046	85	3	streaming	streaming	NOUN
bracis-19046	85	4	input	input	NOUN
bracis-19046	85	5	data	datum	NOUN
bracis-19046	85	6	,	,	PUNCT
bracis-19046	85	7	the	the	DET
bracis-19046	85	8	algorithm	algorithm	NOUN
bracis-19046	85	9	must	must	AUX
bracis-19046	85	10	store	store	VERB
bracis-19046	85	11	incremental	incremental	ADJ
bracis-19046	85	12	statistical	statistical	ADJ
bracis-19046	85	13	descriptors	descriptor	NOUN
bracis-19046	85	14	instead	instead	ADV
bracis-19046	85	15	of	of	ADP
bracis-19046	85	16	the	the	DET
bracis-19046	85	17	actual	actual	ADJ
bracis-19046	85	18	instances	instance	NOUN
bracis-19046	85	19	.	.	PUNCT
bracis-19046	86	1	thus	thus	ADV
bracis-19046	86	2	,	,	PUNCT
bracis-19046	86	3	we	we	PRON
bracis-19046	86	4	need	need	VERB
bracis-19046	86	5	to	to	PART
bracis-19046	86	6	compute	compute	VERB
bracis-19046	86	7	the	the	DET
bracis-19046	86	8	mean	mean	NOUN
bracis-19046	86	9	,	,	PUNCT
bracis-19046	86	10	the	the	DET
bracis-19046	86	11	standard	standard	ADJ
bracis-19046	86	12	deviation	deviation	NOUN
bracis-19046	86	13	,	,	PUNCT
bracis-19046	86	14	and	and	CCONJ
bracis-19046	86	15	the	the	DET
bracis-19046	86	16	count	count	NOUN
bracis-19046	86	17	of	of	ADP
bracis-19046	86	18	data	datum	NOUN
bracis-19046	86	19	instances	instance	NOUN
bracis-19046	86	20	assigned	assign	VERB
bracis-19046	86	21	to	to	ADP
bracis-19046	86	22	each	each	DET
bracis-19046	86	23	class	class	NOUN
bracis-19046	86	24	incrementally	incrementally	ADV
bracis-19046	86	25	,	,	PUNCT
bracis-19046	86	26	discarding	discard	VERB
bracis-19046	86	27	the	the	DET
bracis-19046	86	28	instance	instance	NOUN
bracis-19046	86	29	after	after	SCONJ
bracis-19046	86	30	it	it	PRON
bracis-19046	86	31	is	be	AUX
bracis-19046	86	32	analyzed	analyze	VERB
bracis-19046	86	33	.	.	PUNCT
bracis-19046	87	1	regarding	regard	VERB
bracis-19046	87	2	the	the	DET
bracis-19046	87	3	stated	state	VERB
bracis-19046	87	4	problem	problem	NOUN
bracis-19046	87	5	approach	approach	NOUN
bracis-19046	87	6	,	,	PUNCT
bracis-19046	87	7	gnb	gnb	PROPN
bracis-19046	87	8	-	-	PUNCT
bracis-19046	87	9	hds	hds	PROPN
bracis-19046	87	10	represents	represent	VERB
bracis-19046	87	11	the	the	DET
bracis-19046	87	12	class	class	NOUN
bracis-19046	87	13	taxonomy	taxonomy	NOUN
bracis-19046	87	14	in	in	ADP
bracis-19046	87	15	a	a	DET
bracis-19046	87	16	tree	tree	NOUN
bracis-19046	87	17	structure	structure	NOUN
bracis-19046	87	18	using	use	VERB
bracis-19046	87	19	local	local	ADJ
bracis-19046	87	20	classifiers	classifier	NOUN
bracis-19046	87	21	at	at	ADP
bracis-19046	87	22	each	each	DET
bracis-19046	87	23	parent	parent	NOUN
bracis-19046	87	24	node	node	NOUN
bracis-19046	87	25	and	and	CCONJ
bracis-19046	87	26	assigns	assign	VERB
bracis-19046	87	27	leaf	leaf	NOUN
bracis-19046	87	28	node	node	NOUN
bracis-19046	87	29	classes	class	NOUN
bracis-19046	87	30	as	as	ADP
bracis-19046	87	31	the	the	DET
bracis-19046	87	32	last	last	ADJ
bracis-19046	87	33	class	class	NOUN
bracis-19046	87	34	of	of	ADP
bracis-19046	87	35	one	one	NUM
bracis-19046	87	36	predicted	predict	VERB
bracis-19046	87	37	label	label	NOUN
bracis-19046	87	38	path	path	NOUN
bracis-19046	87	39	\(\vec	\(\vec	PUNCT
bracis-19046	87	40	{	{	PUNCT
bracis-19046	87	41	y}^t\	y}^t\	X
bracis-19046	87	42	)	)	PUNCT
bracis-19046	87	43	(	(	PUNCT
bracis-19046	87	44	mandatory	mandatory	ADJ
bracis-19046	87	45	leaf	leaf	NOUN
bracis-19046	87	46	-	-	PUNCT
bracis-19046	87	47	node	node	NOUN
bracis-19046	87	48	and	and	CCONJ
bracis-19046	87	49	single	single	ADJ
bracis-19046	87	50	path	path	NOUN
bracis-19046	87	51	prediction	prediction	NOUN
bracis-19046	87	52	)	)	PUNCT
bracis-19046	88	1	[	[	X
bracis-19046	88	2	35	35	NUM
bracis-19046	88	3	]	]	PUNCT
bracis-19046	88	4	.	.	PUNCT
bracis-19046	89	1	we	we	PRON
bracis-19046	89	2	point	point	VERB
bracis-19046	89	3	out	out	ADP
bracis-19046	89	4	that	that	SCONJ
bracis-19046	89	5	although	although	SCONJ
bracis-19046	89	6	the	the	DET
bracis-19046	89	7	gnb	gnb	PROPN
bracis-19046	89	8	-	-	PUNCT
bracis-19046	89	9	hds	hds	PROPN
bracis-19046	89	10	method	method	NOUN
bracis-19046	89	11	has	have	AUX
bracis-19046	89	12	been	be	AUX
bracis-19046	89	13	implemented	implement	VERB
bracis-19046	89	14	here	here	ADV
bracis-19046	89	15	in	in	ADP
bracis-19046	89	16	a	a	DET
bracis-19046	89	17	more	more	ADV
bracis-19046	89	18	specific	specific	ADJ
bracis-19046	89	19	way	way	NOUN
bracis-19046	89	20	regarding	regard	VERB
bracis-19046	89	21	the	the	DET
bracis-19046	89	22	stated	state	VERB
bracis-19046	89	23	problem	problem	NOUN
bracis-19046	89	24	,	,	PUNCT
bracis-19046	89	25	gnb	gnb	PROPN
bracis-19046	89	26	-	-	PUNCT
bracis-19046	89	27	hds	hds	PROPN
bracis-19046	89	28	also	also	ADV
bracis-19046	89	29	supports	support	VERB
bracis-19046	89	30	direct	direct	ADJ
bracis-19046	89	31	acyclic	acyclic	ADJ
bracis-19046	89	32	graphs	graph	NOUN
bracis-19046	89	33	and	and	CCONJ
bracis-19046	89	34	non	non	ADJ
bracis-19046	89	35	-	-	ADJ
bracis-19046	89	36	mandatory	mandatory	ADJ
bracis-19046	89	37	leaf	leaf	NOUN
bracis-19046	89	38	node	node	NOUN
bracis-19046	89	39	prediction	prediction	NOUN
bracis-19046	89	40	in	in	ADP
bracis-19046	89	41	its	its	PRON
bracis-19046	89	42	concept	concept	NOUN
bracis-19046	89	43	.	.	PUNCT
bracis-19046	90	1	to	to	ADP
bracis-19046	90	2	that	that	PRON
bracis-19046	90	3	,	,	PUNCT
bracis-19046	90	4	the	the	DET
bracis-19046	90	5	data	data	NOUN
bracis-19046	90	6	structure	structure	NOUN
bracis-19046	90	7	of	of	ADP
bracis-19046	90	8	a	a	DET
bracis-19046	90	9	given	give	VERB
bracis-19046	90	10	node	node	NOUN
bracis-19046	90	11	in	in	ADP
bracis-19046	90	12	the	the	DET
bracis-19046	90	13	hierarchy	hierarchy	NOUN
bracis-19046	90	14	should	should	AUX
bracis-19046	90	15	allow	allow	VERB
bracis-19046	90	16	links	link	NOUN
bracis-19046	90	17	with	with	ADP
bracis-19046	90	18	more	more	ADJ
bracis-19046	90	19	than	than	ADP
bracis-19046	90	20	one	one	NUM
bracis-19046	90	21	parent	parent	NOUN
bracis-19046	90	22	node	node	NOUN
bracis-19046	90	23	,	,	PUNCT
bracis-19046	90	24	and	and	CCONJ
bracis-19046	90	25	the	the	DET
bracis-19046	90	26	top	top	ADJ
bracis-19046	90	27	-	-	PUNCT
bracis-19046	90	28	down	down	ADP
bracis-19046	90	29	strategy	strategy	NOUN
bracis-19046	90	30	used	use	VERB
bracis-19046	90	31	in	in	ADP
bracis-19046	90	32	the	the	DET
bracis-19046	90	33	prediction	prediction	NOUN
bracis-19046	90	34	step	step	NOUN
bracis-19046	90	35	must	must	AUX
bracis-19046	90	36	consider	consider	VERB
bracis-19046	90	37	some	some	DET
bracis-19046	90	38	stopping	stopping	NOUN
bracis-19046	90	39	criteria	criterion	NOUN
bracis-19046	90	40	(	(	PUNCT
bracis-19046	90	41	e.g.	e.g.	ADV
bracis-19046	90	42	,	,	PUNCT
bracis-19046	90	43	a	a	DET
bracis-19046	90	44	probability	probability	NOUN
bracis-19046	90	45	threshold	threshold	NOUN
bracis-19046	90	46	)	)	PUNCT
bracis-19046	90	47	resulting	result	VERB
bracis-19046	90	48	in	in	ADP
bracis-19046	90	49	partial	partial	ADJ
bracis-19046	90	50	depth	depth	NOUN
bracis-19046	90	51	label	label	NOUN
bracis-19046	90	52	paths	path	NOUN
bracis-19046	90	53	.	.	PUNCT
bracis-19046	91	1	figure	figure	NOUN
bracis-19046	91	2	 	 	SPACE
bracis-19046	91	3	3	3	NUM
bracis-19046	91	4	illustrates	illustrate	VERB
bracis-19046	91	5	the	the	DET
bracis-19046	91	6	process	process	NOUN
bracis-19046	91	7	performed	perform	VERB
bracis-19046	91	8	by	by	ADP
bracis-19046	91	9	gnb	gnb	PROPN
bracis-19046	91	10	-	-	PUNCT
bracis-19046	91	11	hds	hds	PROPN
bracis-19046	91	12	.	.	PROPN
bracis-19046	92	1	circles	circle	NOUN
bracis-19046	92	2	represent	represent	VERB
bracis-19046	92	3	classes	class	NOUN
bracis-19046	92	4	,	,	PUNCT
bracis-19046	92	5	and	and	CCONJ
bracis-19046	92	6	dashed	dash	VERB
bracis-19046	92	7	squares	square	NOUN
bracis-19046	92	8	enclose	enclose	VERB
bracis-19046	92	9	classifiers	classifier	NOUN
bracis-19046	92	10	.	.	PUNCT
bracis-19046	93	1	the	the	DET
bracis-19046	93	2	method	method	NOUN
bracis-19046	93	3	represents	represent	VERB
bracis-19046	93	4	the	the	DET
bracis-19046	93	5	class	class	NOUN
bracis-19046	93	6	taxonomy	taxonomy	NOUN
bracis-19046	93	7	in	in	ADP
bracis-19046	93	8	a	a	DET
bracis-19046	93	9	tree	tree	NOUN
bracis-19046	93	10	structure	structure	NOUN
bracis-19046	93	11	,	,	PUNCT
bracis-19046	93	12	where	where	SCONJ
bracis-19046	93	13	r	r	NOUN
bracis-19046	93	14	stands	stand	VERB
bracis-19046	93	15	for	for	ADP
bracis-19046	93	16	the	the	DET
bracis-19046	93	17	root	root	NOUN
bracis-19046	93	18	node	node	NOUN
bracis-19046	93	19	of	of	ADP
bracis-19046	93	20	the	the	DET
bracis-19046	93	21	hierarchy	hierarchy	NOUN
bracis-19046	93	22	and	and	CCONJ
bracis-19046	93	23	classes	class	NOUN
bracis-19046	93	24	are	be	AUX
bracis-19046	93	25	related	relate	VERB
bracis-19046	93	26	with	with	ADP
bracis-19046	93	27	each	each	DET
bracis-19046	93	28	other	other	ADJ
bracis-19046	93	29	(	(	PUNCT
bracis-19046	93	30	as	as	SCONJ
bracis-19046	93	31	described	describe	VERB
bracis-19046	93	32	in	in	ADP
bracis-19046	93	33	sect	sect	NOUN
bracis-19046	93	34	.	.	PUNCT
bracis-19046	93	35	 	 	SPACE
bracis-19046	93	36	2	2	NUM
bracis-19046	93	37	)	)	PUNCT
bracis-19046	93	38	.	.	PUNCT
bracis-19046	94	1	when	when	SCONJ
bracis-19046	94	2	receiving	receive	VERB
bracis-19046	94	3	an	an	DET
bracis-19046	94	4	incoming	incoming	ADJ
bracis-19046	94	5	instance	instance	NOUN
bracis-19046	94	6	for	for	ADP
bracis-19046	94	7	prediction	prediction	NOUN
bracis-19046	94	8	,	,	PUNCT
bracis-19046	94	9	the	the	DET
bracis-19046	94	10	method	method	NOUN
bracis-19046	94	11	tackles	tackle	VERB
bracis-19046	94	12	the	the	DET
bracis-19046	94	13	hierarchy	hierarchy	NOUN
bracis-19046	94	14	using	use	VERB
bracis-19046	94	15	a	a	DET
bracis-19046	94	16	local	local	ADJ
bracis-19046	94	17	classifier	classifier	NOUN
bracis-19046	94	18	per	per	ADP
bracis-19046	94	19	parent	parent	NOUN
bracis-19046	94	20	node	node	NOUN
bracis-19046	94	21	(	(	PUNCT
bracis-19046	94	22	lcpn	lcpn	NOUN
bracis-19046	94	23	)	)	PUNCT
bracis-19046	94	24	approach	approach	NOUN
bracis-19046	94	25	[	[	X
bracis-19046	94	26	35	35	NUM
bracis-19046	94	27	]	]	PUNCT
bracis-19046	94	28	,	,	PUNCT
bracis-19046	94	29	thus	thus	ADV
bracis-19046	94	30	analyzing	analyze	VERB
bracis-19046	94	31	the	the	DET
bracis-19046	94	32	current	current	ADJ
bracis-19046	94	33	parent	parent	NOUN
bracis-19046	94	34	node	node	NOUN
bracis-19046	94	35	and	and	CCONJ
bracis-19046	94	36	predicting	predict	VERB
bracis-19046	94	37	between	between	ADP
bracis-19046	94	38	its	its	PRON
bracis-19046	94	39	child	child	NOUN
bracis-19046	94	40	nodes	node	NOUN
bracis-19046	94	41	by	by	ADP
bracis-19046	94	42	using	use	VERB
bracis-19046	94	43	probabilities	probability	NOUN
bracis-19046	94	44	obtained	obtain	VERB
bracis-19046	94	45	with	with	ADP
bracis-19046	94	46	the	the	DET
bracis-19046	94	47	bayes	bayes	NOUN
bracis-19046	94	48	’	'	PUNCT
bracis-19046	94	49	theorem	theorem	VERB
bracis-19046	94	50	.	.	PUNCT
bracis-19046	95	1	this	this	DET
bracis-19046	95	2	process	process	NOUN
bracis-19046	95	3	is	be	AUX
bracis-19046	95	4	repeated	repeat	VERB
bracis-19046	95	5	until	until	SCONJ
bracis-19046	95	6	a	a	DET
bracis-19046	95	7	leaf	leaf	NOUN
bracis-19046	95	8	node	node	NOUN
bracis-19046	95	9	is	be	AUX
bracis-19046	95	10	reached	reach	VERB
bracis-19046	95	11	.	.	PUNCT
bracis-19046	96	1	each	each	DET
bracis-19046	96	2	node	node	NOUN
bracis-19046	96	3	in	in	ADP
bracis-19046	96	4	the	the	DET
bracis-19046	96	5	tree	tree	NOUN
bracis-19046	96	6	stores	store	VERB
bracis-19046	96	7	the	the	DET
bracis-19046	96	8	count	count	NOUN
bracis-19046	96	9	of	of	ADP
bracis-19046	96	10	instances	instance	NOUN
bracis-19046	96	11	(	(	PUNCT
bracis-19046	96	12	n	n	CCONJ
bracis-19046	96	13	)	)	PUNCT
bracis-19046	96	14	,	,	PUNCT
bracis-19046	96	15	a	a	DET
bracis-19046	96	16	d	d	ADJ
bracis-19046	96	17	-	-	ADJ
bracis-19046	96	18	dimensional	dimensional	ADJ
bracis-19046	96	19	incremental	incremental	ADJ
bracis-19046	96	20	mean	mean	NOUN
bracis-19046	96	21	(	(	PUNCT
bracis-19046	96	22	\({\bar{x}}_{n}\	\({\bar{x}}_{n}\	PROPN
bracis-19046	96	23	)	)	PUNCT
bracis-19046	96	24	)	)	PUNCT
bracis-19046	96	25	and	and	CCONJ
bracis-19046	96	26	a	a	DET
bracis-19046	96	27	d	d	ADJ
bracis-19046	96	28	-	-	ADJ
bracis-19046	96	29	dimensional	dimensional	ADJ
bracis-19046	96	30	incremental	incremental	ADJ
bracis-19046	96	31	standard	standard	ADJ
bracis-19046	96	32	deviation	deviation	NOUN
bracis-19046	96	33	(	(	PUNCT
bracis-19046	96	34	\(\sigma	\(\sigma	NOUN
bracis-19046	96	35	_	_	PRON
bracis-19046	96	36	{	{	PUNCT
bracis-19046	96	37	n})\	n})\	NOUN
bracis-19046	96	38	)	)	PUNCT
bracis-19046	96	39	of	of	ADP
bracis-19046	96	40	the	the	DET
bracis-19046	96	41	class	class	NOUN
bracis-19046	96	42	represented	represent	VERB
bracis-19046	96	43	(	(	PUNCT
bracis-19046	96	44	as	as	SCONJ
bracis-19046	96	45	shown	show	VERB
bracis-19046	96	46	in	in	ADP
bracis-19046	96	47	class	class	NOUN
bracis-19046	96	48	2	2	NUM
bracis-19046	96	49	)	)	PUNCT
bracis-19046	96	50	.	.	PUNCT
bracis-19046	97	1	after	after	ADP
bracis-19046	97	2	the	the	DET
bracis-19046	97	3	incoming	incoming	ADJ
bracis-19046	97	4	instance	instance	NOUN
bracis-19046	97	5	processing	processing	NOUN
bracis-19046	97	6	,	,	PUNCT
bracis-19046	97	7	the	the	DET
bracis-19046	97	8	statistical	statistical	ADJ
bracis-19046	97	9	descriptors	descriptor	NOUN
bracis-19046	97	10	(	(	PUNCT
bracis-19046	97	11	\(n,{\bar{x}}_{n}\sigma	\(n,{\bar{x}}_{n}\sigma	X
bracis-19046	97	12	_	_	PRON
bracis-19046	97	13	{	{	PUNCT
bracis-19046	97	14	n}\	n}\	NUM
bracis-19046	97	15	)	)	PUNCT
bracis-19046	97	16	)	)	PUNCT
bracis-19046	97	17	are	be	AUX
bracis-19046	97	18	updated	update	VERB
bracis-19046	97	19	incrementally	incrementally	ADV
bracis-19046	97	20	with	with	ADP
bracis-19046	97	21	the	the	DET
bracis-19046	97	22	instance	instance	NOUN
bracis-19046	97	23	feature	feature	NOUN
bracis-19046	97	24	values	value	NOUN
bracis-19046	97	25	on	on	ADP
bracis-19046	97	26	all	all	DET
bracis-19046	97	27	the	the	DET
bracis-19046	97	28	classes	class	NOUN
bracis-19046	97	29	through	through	ADP
bracis-19046	97	30	the	the	DET
bracis-19046	97	31	hierarchy	hierarchy	NOUN
bracis-19046	97	32	regarding	regard	VERB
bracis-19046	97	33	the	the	DET
bracis-19046	97	34	ground	ground	NOUN
bracis-19046	97	35	-	-	PUNCT
bracis-19046	97	36	truth	truth	NOUN
bracis-19046	97	37	label	label	NOUN
bracis-19046	97	38	path	path	NOUN
bracis-19046	97	39	of	of	ADP
bracis-19046	97	40	that	that	DET
bracis-19046	97	41	instance	instance	NOUN
bracis-19046	97	42	.	.	PUNCT
bracis-19046	98	1	fig	fig	NOUN
bracis-19046	98	2	.	.	PUNCT
bracis-19046	99	1	3	3	X
bracis-19046	99	2	.	.	X
bracis-19046	99	3	illustration	illustration	NOUN
bracis-19046	99	4	of	of	ADP
bracis-19046	99	5	gnb	gnb	PROPN
bracis-19046	99	6	-	-	PUNCT
bracis-19046	99	7	hds	hds	PROPN
bracis-19046	99	8	method	method	NOUN
bracis-19046	99	9	.	.	PUNCT
bracis-19046	100	1	full	full	ADJ
bracis-19046	100	2	size	size	NOUN
bracis-19046	100	3	image	image	NOUN
bracis-19046	100	4	as	as	SCONJ
bracis-19046	100	5	before	before	ADV
bracis-19046	100	6	introduced	introduce	VERB
bracis-19046	100	7	,	,	PUNCT
bracis-19046	100	8	the	the	DET
bracis-19046	100	9	instances	instance	NOUN
bracis-19046	100	10	are	be	AUX
bracis-19046	100	11	represented	represent	VERB
bracis-19046	100	12	by	by	ADP
bracis-19046	100	13	data	datum	NOUN
bracis-19046	100	14	summaries	summary	NOUN
bracis-19046	100	15	comprising	comprise	VERB
bracis-19046	100	16	three	three	NUM
bracis-19046	100	17	statistical	statistical	ADJ
bracis-19046	100	18	descriptors	descriptor	NOUN
bracis-19046	100	19	stored	store	VERB
bracis-19046	100	20	incrementally	incrementally	ADV
bracis-19046	100	21	:	:	PUNCT
bracis-19046	100	22	(	(	PUNCT
bracis-19046	100	23	i	i	NOUN
bracis-19046	100	24	)	)	PUNCT
bracis-19046	100	25	the	the	DET
bracis-19046	100	26	count	count	NOUN
bracis-19046	100	27	of	of	ADP
bracis-19046	100	28	class	class	NOUN
bracis-19046	100	29	instances	instance	NOUN
bracis-19046	100	30	,	,	PUNCT
bracis-19046	100	31	(	(	PUNCT
bracis-19046	100	32	ii	ii	NOUN
bracis-19046	100	33	)	)	PUNCT
bracis-19046	100	34	the	the	DET
bracis-19046	100	35	d	d	ADJ
bracis-19046	100	36	-	-	ADJ
bracis-19046	100	37	dimensional	dimensional	ADJ
bracis-19046	100	38	mean	mean	ADJ
bracis-19046	100	39	instance	instance	NOUN
bracis-19046	100	40	,	,	PUNCT
bracis-19046	100	41	and	and	CCONJ
bracis-19046	100	42	(	(	PUNCT
bracis-19046	100	43	iii	iii	X
bracis-19046	100	44	)	)	PUNCT
bracis-19046	100	45	the	the	DET
bracis-19046	100	46	d	d	ADJ
bracis-19046	100	47	-	-	ADJ
bracis-19046	100	48	dimensional	dimensional	ADJ
bracis-19046	100	49	standard	standard	ADJ
bracis-19046	100	50	deviation	deviation	NOUN
bracis-19046	100	51	of	of	ADP
bracis-19046	100	52	the	the	DET
bracis-19046	100	53	instances	instance	NOUN
bracis-19046	100	54	of	of	ADP
bracis-19046	100	55	a	a	DET
bracis-19046	100	56	given	give	VERB
bracis-19046	100	57	class	class	NOUN
bracis-19046	100	58	.	.	PUNCT
bracis-19046	101	1	the	the	DET
bracis-19046	101	2	number	number	NOUN
bracis-19046	101	3	of	of	ADP
bracis-19046	101	4	instances	instance	NOUN
bracis-19046	101	5	assigned	assign	VERB
bracis-19046	101	6	to	to	ADP
bracis-19046	101	7	a	a	DET
bracis-19046	101	8	class	class	NOUN
bracis-19046	101	9	c	c	NOUN
bracis-19046	101	10	is	be	AUX
bracis-19046	101	11	stored	store	VERB
bracis-19046	101	12	in	in	ADP
bracis-19046	101	13	an	an	DET
bracis-19046	101	14	attached	attached	ADJ
bracis-19046	101	15	counter	counter	NOUN
bracis-19046	101	16	.	.	PUNCT
bracis-19046	102	1	when	when	SCONJ
bracis-19046	102	2	an	an	DET
bracis-19046	102	3	instance	instance	NOUN
bracis-19046	102	4	is	be	AUX
bracis-19046	102	5	retrieved	retrieve	VERB
bracis-19046	102	6	from	from	ADP
bracis-19046	102	7	the	the	DET
bracis-19046	102	8	stream	stream	NOUN
bracis-19046	102	9	,	,	PUNCT
bracis-19046	102	10	the	the	DET
bracis-19046	102	11	c	c	NOUN
bracis-19046	102	12	-	-	PUNCT
bracis-19046	102	13	th	th	VERB
bracis-19046	102	14	class	class	NOUN
bracis-19046	102	15	counter	counter	NOUN
bracis-19046	102	16	is	be	AUX
bracis-19046	102	17	incremented	incremente	VERB
bracis-19046	102	18	alongside	alongside	ADP
bracis-19046	102	19	the	the	DET
bracis-19046	102	20	counters	counter	NOUN
bracis-19046	102	21	of	of	ADP
bracis-19046	102	22	c	c	PROPN
bracis-19046	102	23	’s	’s	PART
bracis-19046	102	24	ancestors	ancestor	NOUN
bracis-19046	102	25	.	.	PUNCT
bracis-19046	103	1	the	the	DET
bracis-19046	103	2	incremental	incremental	ADJ
bracis-19046	103	3	mean	mean	NOUN
bracis-19046	103	4	(	(	PUNCT
bracis-19046	103	5	\({\bar{x}}_{n}\	\({\bar{x}}_{n}\	PROPN
bracis-19046	103	6	)	)	PUNCT
bracis-19046	103	7	)	)	PUNCT
bracis-19046	103	8	and	and	CCONJ
bracis-19046	103	9	the	the	DET
bracis-19046	103	10	incremental	incremental	ADJ
bracis-19046	103	11	standard	standard	ADJ
bracis-19046	103	12	deviation	deviation	NOUN
bracis-19046	103	13	(	(	PUNCT
bracis-19046	103	14	\(\sigma	\(\sigma	NOUN
bracis-19046	103	15	_	_	PRON
bracis-19046	103	16	{	{	PUNCT
bracis-19046	103	17	n})\	n})\	X
bracis-19046	103	18	)	)	PUNCT
bracis-19046	103	19	considering	consider	VERB
bracis-19046	103	20	each	each	DET
bracis-19046	103	21	attribute	attribute	NOUN
bracis-19046	103	22	from	from	ADP
bracis-19046	103	23	a	a	DET
bracis-19046	103	24	\(d-\)dimensional	\(d-\)dimensional	ADJ
bracis-19046	103	25	\(x_n\	\(x_n\	NOUN
bracis-19046	103	26	)	)	PUNCT
bracis-19046	103	27	instance	instance	NOUN
bracis-19046	103	28	are	be	AUX
bracis-19046	103	29	obtained	obtain	VERB
bracis-19046	103	30	,	,	PUNCT
bracis-19046	103	31	respectively	respectively	ADV
bracis-19046	103	32	,	,	PUNCT
bracis-19046	103	33	from	from	ADP
bracis-19046	103	34	eqs	eqs	PROPN
bracis-19046	103	35	.	.	PUNCT
bracis-19046	103	36	 	 	SPACE
bracis-19046	103	37	1	1	NUM
bracis-19046	103	38	and	and	CCONJ
bracis-19046	103	39	2	2	NUM
bracis-19046	103	40	,	,	PUNCT
bracis-19046	103	41	where	where	SCONJ
bracis-19046	103	42	n	n	PRON
bracis-19046	103	43	stands	stand	VERB
bracis-19046	103	44	for	for	ADP
bracis-19046	103	45	the	the	DET
bracis-19046	103	46	number	number	NOUN
bracis-19046	103	47	of	of	ADP
bracis-19046	103	48	instances	instance	NOUN
bracis-19046	103	49	observed	observe	VERB
bracis-19046	103	50	so	so	ADV
bracis-19046	103	51	far	far	ADV
bracis-19046	103	52	assigned	assign	VERB
bracis-19046	103	53	to	to	ADP
bracis-19046	103	54	c	c	PROPN
bracis-19046	103	55	[	[	X
bracis-19046	103	56	15	15	NUM
bracis-19046	103	57	,	,	PUNCT
bracis-19046	103	58	40	40	NUM
bracis-19046	103	59	]	]	PUNCT
bracis-19046	103	60	.	.	PUNCT
bracis-19046	104	1	also	also	ADV
bracis-19046	104	2	,	,	PUNCT
bracis-19046	104	3	it	it	PRON
bracis-19046	104	4	is	be	AUX
bracis-19046	104	5	important	important	ADJ
bracis-19046	104	6	to	to	PART
bracis-19046	104	7	reinforce	reinforce	VERB
bracis-19046	104	8	that	that	SCONJ
bracis-19046	104	9	the	the	DET
bracis-19046	104	10	incremental	incremental	ADJ
bracis-19046	104	11	mean	mean	NOUN
bracis-19046	104	12	and	and	CCONJ
bracis-19046	104	13	the	the	DET
bracis-19046	104	14	incremental	incremental	ADJ
bracis-19046	104	15	standard	standard	ADJ
bracis-19046	104	16	deviation	deviation	NOUN
bracis-19046	104	17	are	be	AUX
bracis-19046	104	18	d	d	ADJ
bracis-19046	104	19	-	-	ADJ
bracis-19046	104	20	dimensional	dimensional	ADJ
bracis-19046	104	21	descriptors	descriptor	NOUN
bracis-19046	104	22	as	as	SCONJ
bracis-19046	104	23	the	the	DET
bracis-19046	104	24	features	feature	NOUN
bracis-19046	104	25	set	set	VERB
bracis-19046	104	26	and	and	CCONJ
bracis-19046	104	27	its	its	PRON
bracis-19046	104	28	values	value	NOUN
bracis-19046	104	29	from	from	ADP
bracis-19046	104	30	the	the	DET
bracis-19046	104	31	d	d	ADJ
bracis-19046	104	32	-	-	ADJ
bracis-19046	104	33	dimensional	dimensional	ADJ
bracis-19046	104	34	\(x_n\	\(x_n\	NOUN
bracis-19046	104	35	)	)	PUNCT
bracis-19046	104	36	instance	instance	NOUN
bracis-19046	104	37	.	.	PUNCT
bracis-19046	105	1	note	note	VERB
bracis-19046	105	2	that	that	SCONJ
bracis-19046	105	3	eqs	eqs	PROPN
bracis-19046	105	4	.	.	PUNCT
bracis-19046	105	5	 	 	SPACE
bracis-19046	105	6	1	1	NUM
bracis-19046	105	7	and	and	CCONJ
bracis-19046	105	8	2	2	NUM
bracis-19046	105	9	support	support	NOUN
bracis-19046	105	10	only	only	ADV
bracis-19046	105	11	continuous	continuous	ADJ
bracis-19046	105	12	feature	feature	NOUN
bracis-19046	105	13	sets	set	NOUN
bracis-19046	105	14	and	and	CCONJ
bracis-19046	105	15	the	the	DET
bracis-19046	105	16	current	current	ADJ
bracis-19046	105	17	mean	mean	NOUN
bracis-19046	105	18	and	and	CCONJ
bracis-19046	105	19	the	the	DET
bracis-19046	105	20	standard	standard	ADJ
bracis-19046	105	21	deviation	deviation	NOUN
bracis-19046	105	22	of	of	ADP
bracis-19046	105	23	the	the	DET
bracis-19046	105	24	previous	previous	ADJ
bracis-19046	105	25	observed	observed	ADJ
bracis-19046	105	26	instances	instance	NOUN
bracis-19046	105	27	assigned	assign	VERB
bracis-19046	105	28	to	to	ADP
bracis-19046	105	29	c	c	PROPN
bracis-19046	105	30	are	be	AUX
bracis-19046	105	31	represented	represent	VERB
bracis-19046	105	32	by	by	ADP
bracis-19046	105	33	\({\bar{x}}_{n-1}\	\({\bar{x}}_{n-1}\	PROPN
bracis-19046	105	34	)	)	PUNCT
bracis-19046	105	35	and	and	CCONJ
bracis-19046	105	36	\(\sigma	\(\sigma	NOUN
bracis-19046	105	37	_	_	PRON
bracis-19046	105	38	{	{	PUNCT
bracis-19046	105	39	n-1}\	n-1}\	PROPN
bracis-19046	105	40	)	)	PUNCT
bracis-19046	105	41	.	.	PUNCT
bracis-19046	106	1	$	$	SYM
bracis-19046	106	2	$	$	SYM
bracis-19046	106	3	\begin{aligned	\begin{aligne	VERB
bracis-19046	106	4	}	}	PUNCT
bracis-19046	106	5	{	{	PUNCT
bracis-19046	106	6	\bar{x}}_{n}=\	\bar{x}}_{n}=\	NOUN
bracis-19046	106	7	\frac{({\bar{x}}_{n-1}(n-1))+x_n)}{n	\frac{({\bar{x}}_{n-1}(n-1))+x_n)}{n	NOUN
bracis-19046	106	8	}	}	PUNCT
bracis-19046	106	9	\end{aligned}$$	\end{aligned}$$	X
bracis-19046	106	10	(	(	PUNCT
bracis-19046	106	11	1	1	NUM
bracis-19046	106	12	)	)	PUNCT
bracis-19046	106	13	$	$	SYM
bracis-19046	106	14	$	$	SYM
bracis-19046	106	15	\begin{aligned	\begin{aligne	VERB
bracis-19046	106	16	}	}	PUNCT
bracis-19046	106	17	\sigma	\sigma	PROPN
bracis-19046	106	18	_	_	PROPN
bracis-19046	106	19	{	{	PUNCT
bracis-19046	106	20	n}=\sqrt{\frac{\left	n}=\sqrt{\frac{\left	NOUN
bracis-19046	106	21	(	(	PUNCT
bracis-19046	106	22	n-2\right	n-2\right	NUM
bracis-19046	106	23	)	)	PUNCT
bracis-19046	107	1	\sigma	\sigma	PROPN
bracis-19046	107	2	_	_	PRON
bracis-19046	107	3	{	{	PUNCT
bracis-19046	107	4	n-1}^2+\left	n-1}^2+\left	PROPN
bracis-19046	107	5	(	(	PUNCT
bracis-19046	107	6	n-1\right	n-1\right	NUM
bracis-19046	107	7	)	)	PUNCT
bracis-19046	107	8	\left	\left	PROPN
bracis-19046	107	9	(	(	PUNCT
bracis-19046	107	10	{	{	PUNCT
bracis-19046	107	11	\bar{x}}_{n-1}-{\bar{x}}_n\right	\bar{x}}_{n-1}-{\bar{x}}_n\right	NOUN
bracis-19046	107	12	)	)	PUNCT
bracis-19046	107	13	^2+{(x_n-{\bar{x}}_n)}^2}{n-1	^2+{(x_n-{\bar{x}}_n)}^2}{n-1	ADP
bracis-19046	107	14	}	}	PUNCT
bracis-19046	107	15	}	}	PUNCT
bracis-19046	107	16	\end{aligned}$$	\end{aligned}$$	X
bracis-19046	107	17	(	(	PUNCT
bracis-19046	107	18	2	2	NUM
bracis-19046	107	19	)	)	PUNCT
bracis-19046	107	20	the	the	DET
bracis-19046	107	21	prediction	prediction	NOUN
bracis-19046	107	22	of	of	ADP
bracis-19046	107	23	the	the	DET
bracis-19046	107	24	class	class	NOUN
bracis-19046	107	25	to	to	PART
bracis-19046	107	26	be	be	AUX
bracis-19046	107	27	assigned	assign	VERB
bracis-19046	107	28	to	to	ADP
bracis-19046	107	29	an	an	DET
bracis-19046	107	30	incoming	incoming	ADJ
bracis-19046	107	31	instance	instance	NOUN
bracis-19046	107	32	provided	provide	VERB
bracis-19046	107	33	from	from	ADP
bracis-19046	107	34	the	the	DET
bracis-19046	107	35	data	data	NOUN
bracis-19046	107	36	stream	stream	NOUN
bracis-19046	107	37	is	be	AUX
bracis-19046	107	38	performed	perform	VERB
bracis-19046	107	39	in	in	ADP
bracis-19046	107	40	three	three	NUM
bracis-19046	107	41	steps	step	NOUN
bracis-19046	107	42	:	:	PUNCT
bracis-19046	107	43	(	(	PUNCT
bracis-19046	107	44	i	i	NOUN
bracis-19046	107	45	)	)	PUNCT
bracis-19046	107	46	computation	computation	NOUN
bracis-19046	107	47	of	of	ADP
bracis-19046	107	48	the	the	DET
bracis-19046	107	49	a	a	DET
bracis-19046	107	50	priori	priori	ADJ
bracis-19046	107	51	probabilities	probability	NOUN
bracis-19046	107	52	based	base	VERB
bracis-19046	107	53	on	on	ADP
bracis-19046	107	54	the	the	DET
bracis-19046	107	55	count	count	NOUN
bracis-19046	107	56	of	of	ADP
bracis-19046	107	57	class	class	NOUN
bracis-19046	107	58	instances	instance	NOUN
bracis-19046	107	59	,	,	PUNCT
bracis-19046	107	60	(	(	PUNCT
bracis-19046	107	61	ii	ii	NOUN
bracis-19046	107	62	)	)	PUNCT
bracis-19046	107	63	computation	computation	NOUN
bracis-19046	107	64	of	of	ADP
bracis-19046	107	65	likelihood	likelihood	NOUN
bracis-19046	107	66	probabilities	probability	NOUN
bracis-19046	107	67	based	base	VERB
bracis-19046	107	68	on	on	ADP
bracis-19046	107	69	the	the	DET
bracis-19046	107	70	bayes	baye	NOUN
bracis-19046	107	71	’	'	PUNCT
bracis-19046	107	72	theorem	theorem	NOUN
bracis-19046	107	73	for	for	ADP
bracis-19046	107	74	each	each	DET
bracis-19046	107	75	attribute	attribute	NOUN
bracis-19046	107	76	of	of	ADP
bracis-19046	107	77	the	the	DET
bracis-19046	107	78	incoming	incoming	ADJ
bracis-19046	107	79	instance	instance	NOUN
bracis-19046	107	80	,	,	PUNCT
bracis-19046	107	81	and	and	CCONJ
bracis-19046	107	82	(	(	PUNCT
bracis-19046	107	83	iii	iii	NOUN
bracis-19046	107	84	)	)	PUNCT
bracis-19046	107	85	calculation	calculation	NOUN
bracis-19046	107	86	of	of	ADP
bracis-19046	107	87	the	the	DET
bracis-19046	107	88	maximum	maximum	ADJ
bracis-19046	107	89	value	value	NOUN
bracis-19046	107	90	of	of	ADP
bracis-19046	107	91	the	the	DET
bracis-19046	107	92	a	a	DET
bracis-19046	107	93	posteriori	posteriori	NOUN
bracis-19046	107	94	probability	probability	NOUN
bracis-19046	107	95	from	from	ADP
bracis-19046	107	96	the	the	DET
bracis-19046	107	97	product	product	NOUN
bracis-19046	107	98	of	of	ADP
bracis-19046	107	99	the	the	DET
bracis-19046	107	100	independent	independent	ADJ
bracis-19046	107	101	feature	feature	NOUN
bracis-19046	107	102	probabilities	probability	NOUN
bracis-19046	107	103	given	give	VERB
bracis-19046	107	104	a	a	DET
bracis-19046	107	105	class	class	NOUN
bracis-19046	107	106	c.	c.	NOUN
bracis-19046	107	107	the	the	DET
bracis-19046	107	108	calculation	calculation	NOUN
bracis-19046	107	109	of	of	ADP
bracis-19046	107	110	the	the	DET
bracis-19046	107	111	likelihood	likelihood	NOUN
bracis-19046	107	112	probability	probability	NOUN
bracis-19046	107	113	is	be	AUX
bracis-19046	107	114	described	describe	VERB
bracis-19046	107	115	in	in	ADP
bracis-19046	107	116	eq	eq	PROPN
bracis-19046	107	117	.	.	PUNCT
bracis-19046	107	118	 	 	SPACE
bracis-19046	107	119	3	3	NUM
bracis-19046	107	120	,	,	PUNCT
bracis-19046	107	121	where	where	SCONJ
bracis-19046	107	122	i	i	PRON
bracis-19046	107	123	represents	represent	VERB
bracis-19046	107	124	a	a	DET
bracis-19046	107	125	feature	feature	NOUN
bracis-19046	107	126	index	index	NOUN
bracis-19046	107	127	and	and	CCONJ
bracis-19046	107	128	j	j	PROPN
bracis-19046	107	129	a	a	DET
bracis-19046	107	130	class	class	NOUN
bracis-19046	107	131	index	index	NOUN
bracis-19046	107	132	[	[	X
bracis-19046	107	133	11	11	NUM
bracis-19046	107	134	]	]	SYM
bracis-19046	107	135	.	.	PUNCT
bracis-19046	108	1	$	$	SYM
bracis-19046	108	2	$	$	SYM
bracis-19046	108	3	\begin{aligned	\begin{aligne	VERB
bracis-19046	108	4	}	}	PUNCT
bracis-19046	108	5	p\left	p\left	NOUN
bracis-19046	108	6	(	(	PUNCT
bracis-19046	108	7	x_i{\mid	x_i{\mid	PUNCT
bracis-19046	108	8	}	}	PUNCT
bracis-19046	108	9	\	\	PROPN
bracis-19046	108	10	c_j\right	c_j\right	NOUN
bracis-19046	108	11	)	)	PUNCT
bracis-19046	109	1	=	=	NOUN
bracis-19046	109	2	{	{	PUNCT
bracis-19046	109	3	\frac{1}{\sqrt{2\pi	\frac{1}{\sqrt{2\pi	NOUN
bracis-19046	109	4	\sigma	\sigma	PROPN
bracis-19046	109	5	_	_	X
bracis-19046	109	6	{	{	PUNCT
bracis-19046	109	7	i	i	PRON
bracis-19046	109	8	,	,	PUNCT
bracis-19046	109	9	j}^2}}exp}{\left\	j}^2}}exp}{\left\	PROPN
bracis-19046	109	10	{	{	PUNCT
bracis-19046	109	11	-\frac{1}{2}\left	-\frac{1}{2}\left	ADJ
bracis-19046	109	12	(	(	PUNCT
bracis-19046	109	13	\frac{x_i-\bar{x}_{i	\frac{x_i-\bar{x}_{i	NOUN
bracis-19046	109	14	,	,	PUNCT
bracis-19046	109	15	j}}{\sigma	j}}{\sigma	NOUN
bracis-19046	109	16	_	_	PUNCT
bracis-19046	109	17	{	{	PUNCT
bracis-19046	109	18	i	i	PROPN
bracis-19046	109	19	,	,	PUNCT
bracis-19046	109	20	j}}\right	j}}\right	PROPN
bracis-19046	109	21	)	)	PUNCT
bracis-19046	109	22	^2\right\	^2\right\	NUM
bracis-19046	109	23	}	}	PUNCT
bracis-19046	109	24	}	}	PUNCT
bracis-19046	109	25	\end{aligned}$$	\end{aligned}$$	X
bracis-19046	109	26	(	(	PUNCT
bracis-19046	109	27	3	3	NUM
bracis-19046	109	28	)	)	PUNCT
bracis-19046	109	29	to	to	PART
bracis-19046	109	30	perform	perform	VERB
bracis-19046	109	31	the	the	DET
bracis-19046	109	32	class	class	NOUN
bracis-19046	109	33	assignment	assignment	NOUN
bracis-19046	109	34	,	,	PUNCT
bracis-19046	109	35	the	the	DET
bracis-19046	109	36	gnb	gnb	PROPN
bracis-19046	109	37	-	-	PUNCT
bracis-19046	109	38	hds	hds	PROPN
bracis-19046	109	39	obtains	obtain	VERB
bracis-19046	109	40	the	the	DET
bracis-19046	109	41	class	class	NOUN
bracis-19046	109	42	label	label	NOUN
bracis-19046	109	43	with	with	ADP
bracis-19046	109	44	the	the	DET
bracis-19046	109	45	maximum	maximum	ADJ
bracis-19046	109	46	value	value	NOUN
bracis-19046	109	47	of	of	ADP
bracis-19046	109	48	the	the	DET
bracis-19046	109	49	a	a	DET
bracis-19046	109	50	posteriori	posteriori	NOUN
bracis-19046	109	51	probability	probability	NOUN
bracis-19046	109	52	,	,	PUNCT
bracis-19046	109	53	as	as	SCONJ
bracis-19046	109	54	described	describe	VERB
bracis-19046	109	55	in	in	ADP
bracis-19046	109	56	eq	eq	PROPN
bracis-19046	109	57	.	.	PUNCT
bracis-19046	109	58	 	 	SPACE
bracis-19046	109	59	4	4	NUM
bracis-19046	109	60	,	,	PUNCT
bracis-19046	109	61	from	from	ADP
bracis-19046	109	62	the	the	DET
bracis-19046	109	63	product	product	NOUN
bracis-19046	109	64	of	of	ADP
bracis-19046	109	65	the	the	DET
bracis-19046	109	66	independent	independent	ADJ
bracis-19046	109	67	feature	feature	NOUN
bracis-19046	109	68	probabilities	probability	NOUN
bracis-19046	109	69	given	give	VERB
bracis-19046	109	70	c	c	NOUN
bracis-19046	110	1	[	[	X
bracis-19046	110	2	11	11	NUM
bracis-19046	110	3	]	]	SYM
bracis-19046	110	4	.	.	PUNCT
bracis-19046	111	1	$	$	SYM
bracis-19046	111	2	$	$	SYM
bracis-19046	111	3	\begin{aligned	\begin{aligne	VERB
bracis-19046	111	4	}	}	PUNCT
bracis-19046	111	5	p\left	p\left	VERB
bracis-19046	111	6	(	(	PUNCT
bracis-19046	111	7	c_j{\mid	c_j{\mid	ADJ
bracis-19046	111	8	}	}	PUNCT
bracis-19046	111	9	x\right	x\right	PROPN
bracis-19046	111	10	)	)	PUNCT
bracis-19046	111	11	\propto	\propto	ADP
bracis-19046	112	1	\left\	\left\	PROPN
bracis-19046	112	2	{	{	PUNCT
bracis-19046	112	3	\prod	\prod	PROPN
bracis-19046	112	4	_	_	PROPN
bracis-19046	112	5	{	{	PUNCT
bracis-19046	112	6	i}{p\left	i}{p\left	PROPN
bracis-19046	112	7	(	(	PUNCT
bracis-19046	112	8	x_i{\mid	x_i{\mid	PUNCT
bracis-19046	112	9	}	}	PUNCT
bracis-19046	112	10	\	\	PROPN
bracis-19046	112	11	c_j\right	c_j\right	NOUN
bracis-19046	112	12	)	)	PUNCT
bracis-19046	112	13	}	}	PUNCT
bracis-19046	112	14	\right\	\right\	ADJ
bracis-19046	112	15	}	}	PUNCT
bracis-19046	112	16	p(c_j	p(c_j	PROPN
bracis-19046	112	17	)	)	PUNCT
bracis-19046	112	18	\end{aligned}$$	\end{aligned}$$	X
bracis-19046	112	19	(	(	PUNCT
bracis-19046	112	20	4	4	NUM
bracis-19046	112	21	)	)	PUNCT
bracis-19046	112	22	moreover	moreover	ADV
bracis-19046	112	23	,	,	PUNCT
bracis-19046	112	24	these	these	DET
bracis-19046	112	25	three	three	NUM
bracis-19046	112	26	steps	step	NOUN
bracis-19046	112	27	are	be	AUX
bracis-19046	112	28	performed	perform	VERB
bracis-19046	112	29	from	from	ADP
bracis-19046	112	30	the	the	DET
bracis-19046	112	31	top	top	NOUN
bracis-19046	112	32	of	of	ADP
bracis-19046	112	33	the	the	DET
bracis-19046	112	34	hierarchy	hierarchy	NOUN
bracis-19046	112	35	data	datum	NOUN
bracis-19046	112	36	structure	structure	NOUN
bracis-19046	112	37	and	and	CCONJ
bracis-19046	112	38	repeated	repeat	VERB
bracis-19046	112	39	until	until	SCONJ
bracis-19046	112	40	a	a	DET
bracis-19046	112	41	leaf	leaf	NOUN
bracis-19046	112	42	node	node	NOUN
bracis-19046	112	43	is	be	AUX
bracis-19046	112	44	reached	reach	VERB
bracis-19046	112	45	,	,	PUNCT
bracis-19046	112	46	resulting	result	VERB
bracis-19046	112	47	in	in	ADP
bracis-19046	112	48	the	the	DET
bracis-19046	112	49	union	union	NOUN
bracis-19046	112	50	of	of	ADP
bracis-19046	112	51	the	the	DET
bracis-19046	112	52	class	class	NOUN
bracis-19046	112	53	assignments	assignment	NOUN
bracis-19046	112	54	made	make	VERB
bracis-19046	112	55	from	from	ADP
bracis-19046	112	56	eq	eq	PROPN
bracis-19046	112	57	.	.	PUNCT
bracis-19046	112	58	 	 	SPACE
bracis-19046	112	59	4	4	NUM
bracis-19046	112	60	and	and	CCONJ
bracis-19046	112	61	representing	represent	VERB
bracis-19046	112	62	the	the	DET
bracis-19046	112	63	final	final	ADJ
bracis-19046	112	64	label	label	NOUN
bracis-19046	112	65	path	path	NOUN
bracis-19046	112	66	assigned	assign	VERB
bracis-19046	112	67	to	to	ADP
bracis-19046	112	68	the	the	DET
bracis-19046	112	69	incoming	incoming	ADJ
bracis-19046	112	70	instance	instance	NOUN
bracis-19046	112	71	.	.	PUNCT
bracis-19046	113	1	algorithm	algorithm	PROPN
bracis-19046	113	2	 	 	SPACE
bracis-19046	113	3	1	1	NUM
bracis-19046	113	4	shows	show	VERB
bracis-19046	113	5	the	the	DET
bracis-19046	113	6	proposed	propose	VERB
bracis-19046	113	7	gaussian	gaussian	ADJ
bracis-19046	113	8	naive	naive	ADJ
bracis-19046	113	9	bayes	bayes	NOUN
bracis-19046	113	10	for	for	ADP
bracis-19046	113	11	hierarchical	hierarchical	ADJ
bracis-19046	113	12	data	datum	NOUN
bracis-19046	113	13	streams	stream	NOUN
bracis-19046	113	14	(	(	PUNCT
bracis-19046	113	15	gnb	gnb	PROPN
bracis-19046	113	16	-	-	PUNCT
bracis-19046	113	17	hds	hds	PROPN
bracis-19046	113	18	)	)	PUNCT
bracis-19046	113	19	.	.	PUNCT
bracis-19046	114	1	it	it	PRON
bracis-19046	114	2	receives	receive	VERB
bracis-19046	114	3	a	a	DET
bracis-19046	114	4	hierarchical	hierarchical	ADJ
bracis-19046	114	5	data	data	NOUN
bracis-19046	114	6	stream	stream	NOUN
bracis-19046	114	7	hds	hds	PROPN
bracis-19046	114	8	supplying	supply	VERB
bracis-19046	114	9	instances	instance	NOUN
bracis-19046	114	10	\((\vec	\((\vec	X
bracis-19046	114	11	{	{	PUNCT
bracis-19046	114	12	x	x	NOUN
bracis-19046	114	13	}	}	PUNCT
bracis-19046	114	14	,	,	PUNCT
bracis-19046	114	15	\vec	\vec	PROPN
bracis-19046	114	16	{	{	PUNCT
bracis-19046	114	17	y})\	y})\	PROPN
bracis-19046	114	18	)	)	PUNCT
bracis-19046	114	19	over	over	ADP
bracis-19046	114	20	time	time	NOUN
bracis-19046	114	21	and	and	CCONJ
bracis-19046	114	22	,	,	PUNCT
bracis-19046	114	23	if	if	SCONJ
bracis-19046	114	24	required	require	VERB
bracis-19046	114	25	,	,	PUNCT
bracis-19046	114	26	outputs	output	VERB
bracis-19046	114	27	a	a	DET
bracis-19046	114	28	set	set	NOUN
bracis-19046	114	29	of	of	ADP
bracis-19046	114	30	predicted	predict	VERB
bracis-19046	114	31	labels	label	NOUN
bracis-19046	114	32	(	(	PUNCT
bracis-19046	114	33	a	a	DET
bracis-19046	114	34	label	label	NOUN
bracis-19046	114	35	path	path	NOUN
bracis-19046	114	36	)	)	PUNCT
bracis-19046	114	37	\(\widehat{\vec	\(\widehat{\vec	PROPN
bracis-19046	114	38	{	{	PUNCT
bracis-19046	114	39	y}_i}\	y}_i}\	PROPN
bracis-19046	114	40	)	)	PUNCT
bracis-19046	114	41	for	for	ADP
bracis-19046	114	42	each	each	DET
bracis-19046	114	43	given	give	VERB
bracis-19046	114	44	instance	instance	NOUN
bracis-19046	114	45	\((\vec	\((\vec	X
bracis-19046	114	46	{	{	PUNCT
bracis-19046	114	47	x},\vec	x},\vec	PROPN
bracis-19046	114	48	{	{	PUNCT
bracis-19046	114	49	y})\	y})\	PROPN
bracis-19046	114	50	)	)	PUNCT
bracis-19046	114	51	,	,	PUNCT
bracis-19046	114	52	where	where	SCONJ
bracis-19046	114	53	\(\vec	\(\vec	X
bracis-19046	114	54	{	{	PUNCT
bracis-19046	114	55	x}\	x}\	PROPN
bracis-19046	114	56	)	)	PUNCT
bracis-19046	114	57	represents	represent	VERB
bracis-19046	114	58	a	a	DET
bracis-19046	114	59	d	d	ADJ
bracis-19046	114	60	-	-	ADJ
bracis-19046	114	61	dimensional	dimensional	ADJ
bracis-19046	114	62	features	feature	NOUN
bracis-19046	114	63	set	set	VERB
bracis-19046	114	64	and	and	CCONJ
bracis-19046	114	65	its	its	PRON
bracis-19046	114	66	values	value	NOUN
bracis-19046	114	67	,	,	PUNCT
bracis-19046	114	68	and	and	CCONJ
bracis-19046	114	69	\(\vec	\(\vec	NOUN
bracis-19046	114	70	{	{	PUNCT
bracis-19046	114	71	y}\	y}\	PROPN
bracis-19046	114	72	)	)	PUNCT
bracis-19046	114	73	represents	represent	VERB
bracis-19046	114	74	the	the	DET
bracis-19046	114	75	corresponding	corresponding	ADJ
bracis-19046	114	76	ground	ground	NOUN
bracis-19046	114	77	-	-	PUNCT
bracis-19046	114	78	truth	truth	NOUN
bracis-19046	114	79	label	label	NOUN
bracis-19046	114	80	path	path	NOUN
bracis-19046	114	81	of	of	ADP
bracis-19046	114	82	that	that	DET
bracis-19046	114	83	instance	instance	NOUN
bracis-19046	114	84	.	.	PUNCT
bracis-19046	115	1	the	the	DET
bracis-19046	115	2	algorithm	algorithm	NOUN
bracis-19046	115	3	starts	start	VERB
bracis-19046	115	4	by	by	ADP
bracis-19046	115	5	understanding	understanding	NOUN
bracis-19046	115	6	and	and	CCONJ
bracis-19046	115	7	representing	represent	VERB
bracis-19046	115	8	the	the	DET
bracis-19046	115	9	class	class	NOUN
bracis-19046	115	10	taxonomy	taxonomy	NOUN
bracis-19046	115	11	from	from	ADP
bracis-19046	115	12	the	the	DET
bracis-19046	115	13	hierarchical	hierarchical	ADJ
bracis-19046	115	14	data	data	NOUN
bracis-19046	115	15	stream	stream	NOUN
bracis-19046	115	16	.	.	PUNCT
bracis-19046	116	1	the	the	DET
bracis-19046	116	2	first	first	ADJ
bracis-19046	116	3	loop	loop	NOUN
bracis-19046	116	4	(	(	PUNCT
bracis-19046	116	5	line	line	NOUN
bracis-19046	116	6	2	2	NUM
bracis-19046	116	7	onwards	onwards	ADV
bracis-19046	116	8	)	)	PUNCT
bracis-19046	116	9	receives	receive	VERB
bracis-19046	116	10	an	an	DET
bracis-19046	116	11	incoming	incoming	ADJ
bracis-19046	116	12	instance	instance	NOUN
bracis-19046	116	13	from	from	ADP
bracis-19046	116	14	the	the	DET
bracis-19046	116	15	hierarchical	hierarchical	ADJ
bracis-19046	116	16	data	data	NOUN
bracis-19046	116	17	stream	stream	NOUN
bracis-19046	116	18	.	.	PUNCT
bracis-19046	117	1	the	the	DET
bracis-19046	117	2	following	follow	VERB
bracis-19046	117	3	loop	loop	NOUN
bracis-19046	117	4	(	(	PUNCT
bracis-19046	117	5	lines	lines	NOUN
bracis-19046	117	6	4–12	4–12	PROPN
bracis-19046	117	7	)	)	PUNCT
bracis-19046	117	8	handles	handle	VERB
bracis-19046	117	9	the	the	DET
bracis-19046	117	10	hierarchy	hierarchy	NOUN
bracis-19046	117	11	using	use	VERB
bracis-19046	117	12	the	the	DET
bracis-19046	117	13	lcpn	lcpn	NOUN
bracis-19046	117	14	approach	approach	NOUN
bracis-19046	117	15	by	by	ADP
bracis-19046	117	16	predicting	predict	VERB
bracis-19046	117	17	one	one	NUM
bracis-19046	117	18	of	of	ADP
bracis-19046	117	19	the	the	DET
bracis-19046	117	20	children	child	NOUN
bracis-19046	117	21	labels	label	VERB
bracis-19046	117	22	possible	possible	ADJ
bracis-19046	117	23	for	for	ADP
bracis-19046	117	24	that	that	DET
bracis-19046	117	25	parent	parent	NOUN
bracis-19046	117	26	node	node	NOUN
bracis-19046	117	27	.	.	PUNCT
bracis-19046	118	1	the	the	DET
bracis-19046	118	2	a	a	DET
bracis-19046	118	3	priori	priori	ADJ
bracis-19046	118	4	probabilities	probability	NOUN
bracis-19046	118	5	are	be	AUX
bracis-19046	118	6	calculated	calculate	VERB
bracis-19046	118	7	in	in	ADP
bracis-19046	118	8	line	line	NOUN
bracis-19046	118	9	6	6	NUM
bracis-19046	118	10	using	use	VERB
bracis-19046	118	11	the	the	DET
bracis-19046	118	12	counts	count	NOUN
bracis-19046	118	13	of	of	ADP
bracis-19046	118	14	class	class	NOUN
bracis-19046	118	15	instances	instance	NOUN
bracis-19046	118	16	.	.	PUNCT
bracis-19046	119	1	the	the	DET
bracis-19046	119	2	likelihood	likelihood	NOUN
bracis-19046	119	3	and	and	CCONJ
bracis-19046	119	4	posterior	posterior	ADJ
bracis-19046	119	5	probabilities	probability	NOUN
bracis-19046	119	6	are	be	AUX
bracis-19046	119	7	calculated	calculate	VERB
bracis-19046	119	8	in	in	ADP
bracis-19046	119	9	lines	line	NOUN
bracis-19046	119	10	8	8	NUM
bracis-19046	119	11	and	and	CCONJ
bracis-19046	119	12	9	9	NUM
bracis-19046	119	13	by	by	ADP
bracis-19046	119	14	the	the	DET
bracis-19046	119	15	application	application	NOUN
bracis-19046	119	16	of	of	ADP
bracis-19046	119	17	eqs	eqs	PROPN
bracis-19046	119	18	.	.	PUNCT
bracis-19046	119	19	 	 	SPACE
bracis-19046	119	20	3	3	NUM
bracis-19046	119	21	and	and	CCONJ
bracis-19046	119	22	4	4	NUM
bracis-19046	119	23	,	,	PUNCT
bracis-19046	119	24	respectively	respectively	ADV
bracis-19046	119	25	.	.	PUNCT
bracis-19046	120	1	the	the	DET
bracis-19046	120	2	predicted	predict	VERB
bracis-19046	120	3	node	node	NOUN
bracis-19046	120	4	for	for	ADP
bracis-19046	120	5	the	the	DET
bracis-19046	120	6	evaluated	evaluated	ADJ
bracis-19046	120	7	parent	parent	NOUN
bracis-19046	120	8	is	be	AUX
bracis-19046	120	9	obtained	obtain	VERB
bracis-19046	120	10	in	in	ADP
bracis-19046	120	11	line	line	NOUN
bracis-19046	120	12	10	10	NUM
bracis-19046	120	13	,	,	PUNCT
bracis-19046	120	14	and	and	CCONJ
bracis-19046	120	15	the	the	DET
bracis-19046	120	16	respective	respective	ADJ
bracis-19046	120	17	single	single	ADJ
bracis-19046	120	18	label	label	NOUN
bracis-19046	120	19	is	be	AUX
bracis-19046	120	20	appended	append	VERB
bracis-19046	120	21	to	to	ADP
bracis-19046	120	22	a	a	DET
bracis-19046	120	23	partial	partial	ADJ
bracis-19046	120	24	label	label	NOUN
bracis-19046	120	25	path	path	NOUN
bracis-19046	120	26	\(\widehat{\vec	\(\widehat{\vec	PROPN
bracis-19046	120	27	{	{	PUNCT
bracis-19046	120	28	y}_i}\	y}_i}\	PROPN
bracis-19046	120	29	)	)	PUNCT
bracis-19046	120	30	(	(	PUNCT
bracis-19046	120	31	line	line	NOUN
bracis-19046	120	32	11	11	NUM
bracis-19046	120	33	)	)	PUNCT
bracis-19046	120	34	.	.	PUNCT
bracis-19046	121	1	this	this	DET
bracis-19046	121	2	process	process	NOUN
bracis-19046	121	3	is	be	AUX
bracis-19046	121	4	repeated	repeat	VERB
bracis-19046	121	5	until	until	SCONJ
bracis-19046	121	6	a	a	DET
bracis-19046	121	7	leaf	leaf	NOUN
bracis-19046	121	8	node	node	NOUN
bracis-19046	121	9	is	be	AUX
bracis-19046	121	10	reached	reach	VERB
bracis-19046	121	11	and	and	CCONJ
bracis-19046	121	12	the	the	DET
bracis-19046	121	13	label	label	NOUN
bracis-19046	121	14	path	path	NOUN
bracis-19046	121	15	\(\widehat{\vec	\(\widehat{\vec	PROPN
bracis-19046	121	16	{	{	PUNCT
bracis-19046	121	17	y}_i}\	y}_i}\	PROPN
bracis-19046	121	18	)	)	PUNCT
bracis-19046	121	19	is	be	AUX
bracis-19046	121	20	complete	complete	ADJ
bracis-19046	121	21	and	and	CCONJ
bracis-19046	121	22	ready	ready	ADJ
bracis-19046	121	23	to	to	PART
bracis-19046	121	24	be	be	AUX
bracis-19046	121	25	output	output	VERB
bracis-19046	121	26	by	by	ADP
bracis-19046	121	27	the	the	DET
bracis-19046	121	28	algorithm	algorithm	NOUN
bracis-19046	121	29	.	.	PUNCT
bracis-19046	122	1	finally	finally	ADV
bracis-19046	122	2	,	,	PUNCT
bracis-19046	122	3	the	the	DET
bracis-19046	122	4	algorithm	algorithm	NOUN
bracis-19046	122	5	updates	update	VERB
bracis-19046	122	6	the	the	DET
bracis-19046	122	7	statistical	statistical	ADJ
bracis-19046	122	8	descriptors	descriptor	NOUN
bracis-19046	122	9	(	(	PUNCT
bracis-19046	122	10	the	the	DET
bracis-19046	122	11	count	count	NOUN
bracis-19046	122	12	n	n	PROPN
bracis-19046	122	13	of	of	ADP
bracis-19046	122	14	class	class	NOUN
bracis-19046	122	15	instances	instance	NOUN
bracis-19046	122	16	,	,	PUNCT
bracis-19046	122	17	the	the	DET
bracis-19046	122	18	incremental	incremental	ADJ
bracis-19046	122	19	mean	mean	NOUN
bracis-19046	122	20	instance	instance	NOUN
bracis-19046	122	21	\({\bar{x}}_{n}\	\({\bar{x}}_{n}\	PROPN
bracis-19046	122	22	)	)	PUNCT
bracis-19046	122	23	,	,	PUNCT
bracis-19046	122	24	and	and	CCONJ
bracis-19046	122	25	the	the	DET
bracis-19046	122	26	incremental	incremental	ADJ
bracis-19046	122	27	standard	standard	ADJ
bracis-19046	122	28	deviation	deviation	NOUN
bracis-19046	122	29	\(\sigma	\(\sigma	NOUN
bracis-19046	122	30	_	_	PRON
bracis-19046	122	31	{	{	PUNCT
bracis-19046	122	32	n}\	n}\	NUM
bracis-19046	122	33	)	)	PUNCT
bracis-19046	122	34	)	)	PUNCT
bracis-19046	122	35	of	of	ADP
bracis-19046	122	36	all	all	DET
bracis-19046	122	37	classes	class	NOUN
bracis-19046	122	38	contained	contain	VERB
bracis-19046	122	39	in	in	ADP
bracis-19046	122	40	\(\vec	\(\vec	X
bracis-19046	122	41	{	{	PUNCT
bracis-19046	122	42	y}_i\	y}_i\	NOUN
bracis-19046	122	43	)	)	PUNCT
bracis-19046	122	44	,	,	PUNCT
bracis-19046	122	45	from	from	ADP
bracis-19046	122	46	the	the	DET
bracis-19046	122	47	leaf	leaf	NOUN
bracis-19046	122	48	to	to	ADP
bracis-19046	122	49	the	the	DET
bracis-19046	122	50	root	root	NOUN
bracis-19046	122	51	class	class	NOUN
bracis-19046	122	52	.	.	PUNCT
bracis-19046	123	1	5	5	NUM
bracis-19046	123	2	analysis	analysis	NOUN
bracis-19046	123	3	in	in	ADP
bracis-19046	123	4	this	this	DET
bracis-19046	123	5	section	section	NOUN
bracis-19046	123	6	,	,	PUNCT
bracis-19046	123	7	we	we	PRON
bracis-19046	123	8	report	report	VERB
bracis-19046	123	9	the	the	DET
bracis-19046	123	10	experimental	experimental	ADJ
bracis-19046	123	11	analysis	analysis	NOUN
bracis-19046	123	12	conducted	conduct	VERB
bracis-19046	123	13	to	to	PART
bracis-19046	123	14	compare	compare	VERB
bracis-19046	123	15	our	our	PRON
bracis-19046	123	16	proposal	proposal	NOUN
bracis-19046	123	17	against	against	ADP
bracis-19046	123	18	existing	exist	VERB
bracis-19046	123	19	works	work	NOUN
bracis-19046	123	20	in	in	ADP
bracis-19046	123	21	hierarchical	hierarchical	ADJ
bracis-19046	123	22	data	datum	NOUN
bracis-19046	123	23	stream	stream	NOUN
bracis-19046	123	24	classification	classification	NOUN
bracis-19046	123	25	.	.	PUNCT
bracis-19046	124	1	first	first	ADV
bracis-19046	124	2	,	,	PUNCT
bracis-19046	124	3	we	we	PRON
bracis-19046	124	4	provide	provide	VERB
bracis-19046	124	5	the	the	DET
bracis-19046	124	6	experimental	experimental	ADJ
bracis-19046	124	7	protocol	protocol	NOUN
bracis-19046	124	8	adopted	adopt	VERB
bracis-19046	124	9	.	.	PUNCT
bracis-19046	125	1	next	next	ADV
bracis-19046	125	2	,	,	PUNCT
bracis-19046	125	3	we	we	PRON
bracis-19046	125	4	discuss	discuss	VERB
bracis-19046	125	5	the	the	DET
bracis-19046	125	6	results	result	NOUN
bracis-19046	125	7	in	in	ADP
bracis-19046	125	8	terms	term	NOUN
bracis-19046	125	9	of	of	ADP
bracis-19046	125	10	prediction	prediction	NOUN
bracis-19046	125	11	and	and	CCONJ
bracis-19046	125	12	performance	performance	NOUN
bracis-19046	125	13	.	.	PUNCT
bracis-19046	126	1	table	table	NOUN
bracis-19046	126	2	1	1	NUM
bracis-19046	126	3	.	.	PUNCT
bracis-19046	127	1	datasets	dataset	NOUN
bracis-19046	127	2	used	use	VERB
bracis-19046	127	3	in	in	ADP
bracis-19046	127	4	the	the	DET
bracis-19046	127	5	experiment.full	experiment.full	ADJ
bracis-19046	127	6	size	size	NOUN
bracis-19046	127	7	table	table	NOUN
bracis-19046	127	8	5.1	5.1	NUM
bracis-19046	127	9	experimental	experimental	ADJ
bracis-19046	127	10	protocol	protocol	NOUN
bracis-19046	127	11	table	table	NOUN
bracis-19046	127	12	 	 	SPACE
bracis-19046	127	13	1	1	NUM
bracis-19046	127	14	depicts	depict	VERB
bracis-19046	127	15	the	the	DET
bracis-19046	127	16	14	14	NUM
bracis-19046	127	17	hierarchically	hierarchically	ADV
bracis-19046	127	18	labeled	label	VERB
bracis-19046	127	19	datasets	dataset	NOUN
bracis-19046	127	20	used	use	VERB
bracis-19046	127	21	in	in	ADP
bracis-19046	127	22	our	our	PRON
bracis-19046	127	23	testbed	testbed	NOUN
bracis-19046	127	24	,	,	PUNCT
bracis-19046	127	25	listing	list	VERB
bracis-19046	127	26	their	their	PRON
bracis-19046	127	27	number	number	NOUN
bracis-19046	127	28	of	of	ADP
bracis-19046	127	29	instances	instance	NOUN
bracis-19046	127	30	,	,	PUNCT
bracis-19046	127	31	features	feature	NOUN
bracis-19046	127	32	,	,	PUNCT
bracis-19046	127	33	and	and	CCONJ
bracis-19046	127	34	classes	class	NOUN
bracis-19046	127	35	,	,	PUNCT
bracis-19046	127	36	the	the	DET
bracis-19046	127	37	number	number	NOUN
bracis-19046	127	38	of	of	ADP
bracis-19046	127	39	labels	label	NOUN
bracis-19046	127	40	per	per	ADP
bracis-19046	127	41	level	level	NOUN
bracis-19046	127	42	in	in	ADP
bracis-19046	127	43	the	the	DET
bracis-19046	127	44	hierarchy	hierarchy	NOUN
bracis-19046	127	45	(	(	PUNCT
bracis-19046	127	46	from	from	ADP
bracis-19046	127	47	top	top	ADJ
bracis-19046	127	48	-	-	PUNCT
bracis-19046	127	49	level	level	NOUN
bracis-19046	127	50	to	to	ADP
bracis-19046	127	51	leaf	leaf	NOUN
bracis-19046	127	52	level	level	NOUN
bracis-19046	127	53	)	)	PUNCT
bracis-19046	127	54	,	,	PUNCT
bracis-19046	127	55	and	and	CCONJ
bracis-19046	127	56	references	reference	NOUN
bracis-19046	127	57	.	.	PUNCT
bracis-19046	128	1	these	these	DET
bracis-19046	128	2	datasets	dataset	NOUN
bracis-19046	128	3	contain	contain	VERB
bracis-19046	128	4	different	different	ADJ
bracis-19046	128	5	features	feature	NOUN
bracis-19046	128	6	,	,	PUNCT
bracis-19046	128	7	instances	instance	NOUN
bracis-19046	128	8	,	,	PUNCT
bracis-19046	128	9	and	and	CCONJ
bracis-19046	128	10	domains	domain	NOUN
bracis-19046	128	11	,	,	PUNCT
bracis-19046	128	12	thus	thus	ADV
bracis-19046	128	13	assessing	assess	VERB
bracis-19046	128	14	how	how	SCONJ
bracis-19046	128	15	our	our	PRON
bracis-19046	128	16	proposal	proposal	NOUN
bracis-19046	128	17	behaves	behave	VERB
bracis-19046	128	18	in	in	ADP
bracis-19046	128	19	different	different	ADJ
bracis-19046	128	20	scenarios	scenario	NOUN
bracis-19046	128	21	.	.	PUNCT
bracis-19046	129	1	during	during	ADP
bracis-19046	129	2	the	the	DET
bracis-19046	129	3	experiments	experiment	NOUN
bracis-19046	129	4	,	,	PUNCT
bracis-19046	129	5	classifiers	classifier	NOUN
bracis-19046	129	6	were	be	AUX
bracis-19046	129	7	assessed	assess	VERB
bracis-19046	129	8	in	in	ADP
bracis-19046	129	9	terms	term	NOUN
bracis-19046	129	10	of	of	ADP
bracis-19046	129	11	hierarchical	hierarchical	ADJ
bracis-19046	129	12	f	f	NOUN
bracis-19046	129	13	-	-	PUNCT
bracis-19046	129	14	measure	measure	NOUN
bracis-19046	129	15	[	[	X
bracis-19046	129	16	24	24	NUM
bracis-19046	129	17	]	]	PUNCT
bracis-19046	129	18	.	.	PUNCT
bracis-19046	130	1	like	like	ADP
bracis-19046	130	2	traditional	traditional	ADJ
bracis-19046	130	3	classification	classification	NOUN
bracis-19046	130	4	metrics	metric	NOUN
bracis-19046	130	5	,	,	PUNCT
bracis-19046	130	6	the	the	DET
bracis-19046	130	7	hierarchical	hierarchical	ADJ
bracis-19046	130	8	f	f	NOUN
bracis-19046	130	9	-	-	PUNCT
bracis-19046	130	10	measure	measure	NOUN
bracis-19046	130	11	(	(	PUNCT
bracis-19046	130	12	hf	hf	NOUN
bracis-19046	130	13	)	)	PUNCT
bracis-19046	130	14	relies	rely	VERB
bracis-19046	130	15	on	on	ADP
bracis-19046	130	16	hierarchical	hierarchical	ADJ
bracis-19046	130	17	precision	precision	NOUN
bracis-19046	130	18	and	and	CCONJ
bracis-19046	130	19	recall	recall	NOUN
bracis-19046	130	20	components	component	NOUN
bracis-19046	130	21	,	,	PUNCT
bracis-19046	130	22	but	but	CCONJ
bracis-19046	130	23	instances	instance	NOUN
bracis-19046	130	24	are	be	AUX
bracis-19046	130	25	associated	associate	VERB
bracis-19046	130	26	with	with	ADP
bracis-19046	130	27	a	a	DET
bracis-19046	130	28	path	path	NOUN
bracis-19046	130	29	of	of	ADP
bracis-19046	130	30	labels	label	NOUN
bracis-19046	130	31	,	,	PUNCT
bracis-19046	130	32	and	and	CCONJ
bracis-19046	130	33	the	the	DET
bracis-19046	130	34	entire	entire	ADJ
bracis-19046	130	35	path	path	NOUN
bracis-19046	130	36	is	be	AUX
bracis-19046	130	37	evaluated	evaluate	VERB
bracis-19046	130	38	.	.	PUNCT
bracis-19046	131	1	the	the	DET
bracis-19046	131	2	hierarchical	hierarchical	ADJ
bracis-19046	131	3	f	f	NOUN
bracis-19046	131	4	-	-	PUNCT
bracis-19046	131	5	measure	measure	NOUN
bracis-19046	131	6	is	be	AUX
bracis-19046	131	7	depicted	depict	VERB
bracis-19046	131	8	in	in	ADP
bracis-19046	131	9	eq	eq	NOUN
bracis-19046	131	10	.	.	PUNCT
bracis-19046	131	11	 	 	SPACE
bracis-19046	131	12	5	5	NUM
bracis-19046	131	13	,	,	PUNCT
bracis-19046	131	14	while	while	SCONJ
bracis-19046	131	15	its	its	PRON
bracis-19046	131	16	precision	precision	NOUN
bracis-19046	131	17	(	(	PUNCT
bracis-19046	131	18	hp	hp	PROPN
bracis-19046	131	19	)	)	PUNCT
bracis-19046	131	20	and	and	CCONJ
bracis-19046	131	21	recall	recall	NOUN
bracis-19046	131	22	(	(	PUNCT
bracis-19046	131	23	hr	hr	NOUN
bracis-19046	131	24	)	)	PUNCT
bracis-19046	131	25	components	component	NOUN
bracis-19046	131	26	are	be	AUX
bracis-19046	131	27	described	describe	VERB
bracis-19046	131	28	in	in	ADP
bracis-19046	131	29	eqs	eqs	PROPN
bracis-19046	131	30	.	.	PUNCT
bracis-19046	131	31	 	 	SPACE
bracis-19046	131	32	6	6	NUM
bracis-19046	131	33	and	and	CCONJ
bracis-19046	131	34	7	7	NUM
bracis-19046	131	35	,	,	PUNCT
bracis-19046	131	36	respectively	respectively	ADV
bracis-19046	131	37	.	.	PUNCT
bracis-19046	132	1	in	in	ADP
bracis-19046	132	2	both	both	DET
bracis-19046	132	3	precision	precision	NOUN
bracis-19046	132	4	and	and	CCONJ
bracis-19046	132	5	recall	recall	NOUN
bracis-19046	132	6	metrics	metric	NOUN
bracis-19046	132	7	,	,	PUNCT
bracis-19046	132	8	\(\widehat{\vec	\(\widehat{\vec	PROPN
bracis-19046	132	9	{	{	PUNCT
bracis-19046	132	10	y}_i}\	y}_i}\	PROPN
bracis-19046	132	11	)	)	PUNCT
bracis-19046	132	12	is	be	AUX
bracis-19046	132	13	the	the	DET
bracis-19046	132	14	set	set	NOUN
bracis-19046	132	15	of	of	ADP
bracis-19046	132	16	labels	label	NOUN
bracis-19046	132	17	predicted	predict	VERB
bracis-19046	132	18	for	for	ADP
bracis-19046	132	19	the	the	DET
bracis-19046	132	20	i	i	PROPN
bracis-19046	132	21	-	-	PUNCT
bracis-19046	132	22	th	th	X
bracis-19046	132	23	instance	instance	NOUN
bracis-19046	132	24	,	,	PUNCT
bracis-19046	132	25	and	and	CCONJ
bracis-19046	132	26	\({\vec	\({\vec	X
bracis-19046	132	27	{	{	PUNCT
bracis-19046	132	28	y}_i}\	y}_i}\	PROPN
bracis-19046	132	29	)	)	PUNCT
bracis-19046	132	30	is	be	AUX
bracis-19046	132	31	its	its	PRON
bracis-19046	132	32	corresponding	corresponding	ADJ
bracis-19046	132	33	ground	ground	NOUN
bracis-19046	132	34	-	-	PUNCT
bracis-19046	132	35	truth	truth	NOUN
bracis-19046	132	36	label	label	NOUN
bracis-19046	132	37	set	set	NOUN
bracis-19046	132	38	.	.	PUNCT
bracis-19046	133	1	$	$	SYM
bracis-19046	133	2	$	$	SYM
bracis-19046	133	3	\begin{aligned	\begin{aligne	VERB
bracis-19046	133	4	}	}	PUNCT
bracis-19046	133	5	hf	hf	NOUN
bracis-19046	133	6	=	=	PUNCT
bracis-19046	133	7	\frac{2	\frac{2	PROPN
bracis-19046	133	8	\times	\times	PROPN
bracis-19046	133	9	hp	hp	ADJ
bracis-19046	133	10	\times	\times	ADP
bracis-19046	133	11	hr}{hp	hr}{hp	PROPN
bracis-19046	133	12	+	+	SYM
bracis-19046	133	13	hr	hr	NOUN
bracis-19046	133	14	}	}	PUNCT
bracis-19046	133	15	\end{aligned}$$	\end{aligned}$$	X
bracis-19046	133	16	(	(	PUNCT
bracis-19046	133	17	5	5	NUM
bracis-19046	133	18	)	)	PUNCT
bracis-19046	133	19	$	$	SYM
bracis-19046	133	20	$	$	SYM
bracis-19046	133	21	\begin{aligned	\begin{aligne	VERB
bracis-19046	133	22	}	}	PUNCT
bracis-19046	133	23	hp	hp	ADJ
bracis-19046	133	24	=	=	VERB
bracis-19046	133	25	\frac{\sum	\frac{\sum	NOUN
bracis-19046	133	26	_	_	PROPN
bracis-19046	133	27	i\left|	i\left|	PROPN
bracis-19046	133	28	\widehat{\vec	\widehat{\vec	PROPN
bracis-19046	133	29	{	{	PUNCT
bracis-19046	133	30	y}_i}\bigcap	y}_i}\bigcap	NOUN
bracis-19046	133	31	{	{	PUNCT
bracis-19046	133	32	\vec	\vec	PROPN
bracis-19046	133	33	{	{	PUNCT
bracis-19046	133	34	y}_i}\right|	y}_i}\right|	X
bracis-19046	133	35	}	}	PUNCT
bracis-19046	133	36	{	{	PUNCT
bracis-19046	134	1	\sum	\sum	NOUN
bracis-19046	134	2	_	_	PUNCT
bracis-19046	134	3	i\left|	i\left|	PROPN
bracis-19046	134	4	\widehat{\vec	\widehat{\vec	PROPN
bracis-19046	134	5	{	{	PUNCT
bracis-19046	134	6	y}_i}\right|	y}_i}\right|	X
bracis-19046	134	7	}	}	PUNCT
bracis-19046	134	8	\end{aligned}$$	\end{aligned}$$	X
bracis-19046	134	9	(	(	PUNCT
bracis-19046	134	10	6	6	NUM
bracis-19046	134	11	)	)	PUNCT
bracis-19046	134	12	$	$	SYM
bracis-19046	134	13	$	$	SYM
bracis-19046	134	14	\begin{aligned	\begin{aligne	VERB
bracis-19046	134	15	}	}	PUNCT
bracis-19046	134	16	hr	hr	NOUN
bracis-19046	134	17	=	=	VERB
bracis-19046	134	18	\frac{\sum	\frac{\sum	NOUN
bracis-19046	134	19	_	_	PROPN
bracis-19046	134	20	i\left|	i\left|	PROPN
bracis-19046	134	21	\widehat{\vec	\widehat{\vec	PROPN
bracis-19046	134	22	{	{	PUNCT
bracis-19046	134	23	y}_i}\bigcap	y}_i}\bigcap	NOUN
bracis-19046	134	24	{	{	PUNCT
bracis-19046	134	25	\vec	\vec	PROPN
bracis-19046	134	26	{	{	PUNCT
bracis-19046	134	27	y}_i}\right|	y}_i}\right|	X
bracis-19046	134	28	}	}	PUNCT
bracis-19046	134	29	{	{	PUNCT
bracis-19046	135	1	\sum	\sum	NOUN
bracis-19046	135	2	_	_	PUNCT
bracis-19046	135	3	i\left|	i\left|	NOUN
bracis-19046	135	4	{	{	PUNCT
bracis-19046	135	5	\vec	\vec	PROPN
bracis-19046	135	6	{	{	PUNCT
bracis-19046	135	7	y}_i}\right|	y}_i}\right|	PROPN
bracis-19046	135	8	}	}	PUNCT
bracis-19046	135	9	\end{aligned}$$	\end{aligned}$$	X
bracis-19046	135	10	(	(	PUNCT
bracis-19046	135	11	7	7	X
bracis-19046	135	12	)	)	PUNCT
bracis-19046	135	13	we	we	PRON
bracis-19046	135	14	report	report	VERB
bracis-19046	135	15	the	the	DET
bracis-19046	135	16	hf	hf	PROPN
bracis-19046	135	17	metric	metric	NOUN
bracis-19046	135	18	using	use	VERB
bracis-19046	135	19	the	the	DET
bracis-19046	135	20	prequential	prequential	ADJ
bracis-19046	135	21	test	test	NOUN
bracis-19046	135	22	-	-	PUNCT
bracis-19046	135	23	then	then	ADV
bracis-19046	135	24	-	-	PUNCT
bracis-19046	135	25	train	train	NOUN
bracis-19046	135	26	[	[	X
bracis-19046	135	27	10	10	NUM
bracis-19046	135	28	,	,	PUNCT
bracis-19046	135	29	20	20	NUM
bracis-19046	135	30	]	]	PUNCT
bracis-19046	135	31	validation	validation	NOUN
bracis-19046	135	32	method	method	NOUN
bracis-19046	135	33	,	,	PUNCT
bracis-19046	135	34	where	where	SCONJ
bracis-19046	135	35	each	each	DET
bracis-19046	135	36	instance	instance	NOUN
bracis-19046	135	37	is	be	AUX
bracis-19046	135	38	used	use	VERB
bracis-19046	135	39	to	to	PART
bracis-19046	135	40	test	test	VERB
bracis-19046	135	41	the	the	DET
bracis-19046	135	42	model	model	NOUN
bracis-19046	135	43	before	before	SCONJ
bracis-19046	135	44	it	it	PRON
bracis-19046	135	45	is	be	AUX
bracis-19046	135	46	used	use	VERB
bracis-19046	135	47	for	for	ADP
bracis-19046	135	48	training	training	NOUN
bracis-19046	135	49	and	and	CCONJ
bracis-19046	135	50	updating	update	VERB
bracis-19046	135	51	[	[	NOUN
bracis-19046	135	52	10	10	NUM
bracis-19046	135	53	,	,	PUNCT
bracis-19046	135	54	21	21	NUM
bracis-19046	135	55	]	]	PUNCT
bracis-19046	135	56	.	.	PUNCT
bracis-19046	136	1	furthermore	furthermore	ADV
bracis-19046	136	2	,	,	PUNCT
bracis-19046	136	3	we	we	PRON
bracis-19046	136	4	measured	measure	VERB
bracis-19046	136	5	the	the	DET
bracis-19046	136	6	time	time	NOUN
bracis-19046	136	7	performance	performance	NOUN
bracis-19046	136	8	by	by	ADP
bracis-19046	136	9	calculating	calculate	VERB
bracis-19046	136	10	the	the	DET
bracis-19046	136	11	number	number	NOUN
bracis-19046	136	12	of	of	ADP
bracis-19046	136	13	instances	instance	NOUN
bracis-19046	136	14	that	that	PRON
bracis-19046	136	15	a	a	DET
bracis-19046	136	16	classifier	classifier	NOUN
bracis-19046	136	17	can	can	AUX
bracis-19046	136	18	process	process	VERB
bracis-19046	136	19	per	per	ADP
bracis-19046	136	20	second	second	ADJ
bracis-19046	136	21	.	.	PUNCT
bracis-19046	137	1	we	we	PRON
bracis-19046	137	2	compared	compare	VERB
bracis-19046	137	3	our	our	PRON
bracis-19046	137	4	proposed	propose	VERB
bracis-19046	137	5	gnb	gnb	PROPN
bracis-19046	137	6	-	-	PUNCT
bracis-19046	137	7	hds	hds	PROPN
bracis-19046	137	8	to	to	ADP
bracis-19046	137	9	the	the	DET
bracis-19046	137	10	hierarchical	hierarchical	ADJ
bracis-19046	137	11	knn	knn	PROPN
bracis-19046	137	12	described	describe	VERB
bracis-19046	137	13	in	in	ADP
bracis-19046	137	14	sect	sect	NOUN
bracis-19046	137	15	.	.	PUNCT
bracis-19046	137	16	 	 	SPACE
bracis-19046	137	17	3	3	NUM
bracis-19046	137	18	proposed	propose	VERB
bracis-19046	137	19	in	in	ADP
bracis-19046	137	20	[	[	X
bracis-19046	137	21	28	28	NUM
bracis-19046	137	22	]	]	PUNCT
bracis-19046	137	23	,	,	PUNCT
bracis-19046	137	24	hereafter	hereafter	ADV
bracis-19046	137	25	referred	refer	VERB
bracis-19046	137	26	to	to	ADP
bracis-19046	137	27	as	as	ADP
bracis-19046	137	28	knn	knn	PROPN
bracis-19046	137	29	-	-	PUNCT
bracis-19046	137	30	hds	hds	PROPN
bracis-19046	137	31	.	.	PUNCT
bracis-19046	138	1	we	we	PRON
bracis-19046	138	2	set	set	VERB
bracis-19046	138	3	up	up	ADP
bracis-19046	138	4	knn	knn	PROPN
bracis-19046	138	5	-	-	PUNCT
bracis-19046	138	6	hds	hds	PROPN
bracis-19046	138	7	with	with	ADP
bracis-19046	138	8	\(k	\(k	NOUN
bracis-19046	138	9	\in	\in	ADJ
bracis-19046	138	10	\{1,3,5\}\	\{1,3,5\}\	NOUN
bracis-19046	138	11	)	)	PUNCT
bracis-19046	138	12	and	and	CCONJ
bracis-19046	138	13	\(n	\(n	NOUN
bracis-19046	138	14	\text	\text	NOUN
bracis-19046	138	15	{	{	PUNCT
bracis-19046	138	16	(	(	PUNCT
bracis-19046	138	17	buffer	buffer	NOUN
bracis-19046	138	18	size	size	NOUN
bracis-19046	138	19	)	)	PUNCT
bracis-19046	138	20	}	}	PUNCT
bracis-19046	138	21	\in	\in	PROPN
bracis-19046	138	22	\{\)5	\{\)5	ADJ
bracis-19046	138	23	,	,	PUNCT
bracis-19046	138	24	10	10	NUM
bracis-19046	138	25	,	,	PUNCT
bracis-19046	138	26	15	15	NUM
bracis-19046	138	27	,	,	PUNCT
bracis-19046	138	28	20\(\}\	20\(\}\	NUM
bracis-19046	138	29	)	)	PUNCT
bracis-19046	138	30	.	.	PUNCT
bracis-19046	139	1	the	the	DET
bracis-19046	139	2	method	method	PROPN
bracis-19046	139	3	gnb	gnb	PROPN
bracis-19046	139	4	-	-	PUNCT
bracis-19046	139	5	hds	hds	PROPN
bracis-19046	139	6	does	do	AUX
bracis-19046	139	7	not	not	PART
bracis-19046	139	8	require	require	VERB
bracis-19046	139	9	setting	set	VERB
bracis-19046	139	10	parameters	parameter	NOUN
bracis-19046	139	11	.	.	PUNCT
bracis-19046	140	1	finally	finally	ADV
bracis-19046	140	2	,	,	PUNCT
bracis-19046	140	3	the	the	DET
bracis-19046	140	4	results	result	NOUN
bracis-19046	140	5	obtained	obtain	VERB
bracis-19046	140	6	by	by	ADP
bracis-19046	140	7	both	both	DET
bracis-19046	140	8	methods	method	NOUN
bracis-19046	140	9	were	be	AUX
bracis-19046	140	10	assessed	assess	VERB
bracis-19046	140	11	using	use	VERB
bracis-19046	140	12	wilcoxon	wilcoxon	ADJ
bracis-19046	140	13	hypothesis	hypothesis	NOUN
bracis-19046	140	14	tests	test	NOUN
bracis-19046	140	15	[	[	X
bracis-19046	140	16	41	41	NUM
bracis-19046	140	17	]	]	PUNCT
bracis-19046	140	18	with	with	ADP
bracis-19046	140	19	a	a	DET
bracis-19046	140	20	95	95	NUM
bracis-19046	140	21	%	%	NOUN
bracis-19046	140	22	confidence	confidence	NOUN
bracis-19046	140	23	level	level	NOUN
bracis-19046	140	24	according	accord	VERB
bracis-19046	140	25	to	to	ADP
bracis-19046	140	26	the	the	DET
bracis-19046	140	27	protocol	protocol	NOUN
bracis-19046	140	28	provided	provide	VERB
bracis-19046	140	29	in	in	ADP
bracis-19046	140	30	[	[	X
bracis-19046	140	31	16	16	NUM
bracis-19046	140	32	]	]	PUNCT
bracis-19046	140	33	to	to	PART
bracis-19046	140	34	verify	verify	VERB
bracis-19046	140	35	significant	significant	ADJ
bracis-19046	140	36	differences	difference	NOUN
bracis-19046	140	37	in	in	ADP
bracis-19046	140	38	the	the	DET
bracis-19046	140	39	hf	hf	NOUN
bracis-19046	140	40	and	and	CCONJ
bracis-19046	140	41	instances	instance	NOUN
bracis-19046	140	42	processed	process	VERB
bracis-19046	140	43	per	per	ADP
bracis-19046	140	44	second	second	ADJ
bracis-19046	140	45	rates	rate	NOUN
bracis-19046	140	46	obtained	obtain	VERB
bracis-19046	140	47	by	by	ADP
bracis-19046	140	48	both	both	DET
bracis-19046	140	49	methods	method	NOUN
bracis-19046	140	50	.	.	PUNCT
bracis-19046	141	1	the	the	DET
bracis-19046	141	2	experiments	experiment	NOUN
bracis-19046	141	3	in	in	ADP
bracis-19046	141	4	this	this	DET
bracis-19046	141	5	paper	paper	NOUN
bracis-19046	141	6	were	be	AUX
bracis-19046	141	7	performed	perform	VERB
bracis-19046	141	8	using	use	VERB
bracis-19046	141	9	python	python	PROPN
bracis-19046	141	10	3.7	3.7	NUM
bracis-19046	141	11	.	.	PUNCT
bracis-19046	142	1	the	the	DET
bracis-19046	142	2	proposed	propose	VERB
bracis-19046	142	3	script	script	NOUN
bracis-19046	142	4	containing	contain	VERB
bracis-19046	142	5	the	the	DET
bracis-19046	142	6	gnb	gnb	PROPN
bracis-19046	142	7	-	-	PUNCT
bracis-19046	142	8	hds	hds	PROPN
bracis-19046	142	9	method	method	NOUN
bracis-19046	142	10	,	,	PUNCT
bracis-19046	142	11	as	as	ADV
bracis-19046	142	12	well	well	ADV
bracis-19046	142	13	as	as	ADP
bracis-19046	142	14	the	the	DET
bracis-19046	142	15	datasets	dataset	NOUN
bracis-19046	142	16	,	,	PUNCT
bracis-19046	142	17	are	be	AUX
bracis-19046	142	18	freely	freely	ADV
bracis-19046	142	19	available	available	ADJ
bracis-19046	142	20	for	for	ADP
bracis-19046	142	21	downloadfootnote	downloadfootnote	NOUN
bracis-19046	142	22	1	1	NUM
bracis-19046	142	23	.	.	X
bracis-19046	142	24	5.2	5.2	NUM
bracis-19046	142	25	results	result	NOUN
bracis-19046	142	26	table	table	NOUN
bracis-19046	142	27	 	 	SPACE
bracis-19046	142	28	2	2	NUM
bracis-19046	142	29	shows	show	VERB
bracis-19046	142	30	the	the	DET
bracis-19046	142	31	hierarchical	hierarchical	ADJ
bracis-19046	142	32	f	f	NOUN
bracis-19046	142	33	-	-	PUNCT
bracis-19046	142	34	measure	measure	NOUN
bracis-19046	142	35	(	(	PUNCT
bracis-19046	142	36	hf	hf	NOUN
bracis-19046	142	37	)	)	PUNCT
bracis-19046	142	38	and	and	CCONJ
bracis-19046	142	39	instances	instance	NOUN
bracis-19046	142	40	per	per	ADP
bracis-19046	142	41	second	second	ADJ
bracis-19046	142	42	rates	rate	NOUN
bracis-19046	142	43	obtained	obtain	VERB
bracis-19046	142	44	by	by	ADP
bracis-19046	142	45	knn	knn	PROPN
bracis-19046	142	46	-	-	PUNCT
bracis-19046	142	47	hds	hds	PROPN
bracis-19046	142	48	and	and	CCONJ
bracis-19046	142	49	gnb	gnb	PROPN
bracis-19046	142	50	-	-	PUNCT
bracis-19046	142	51	hds	hds	PROPN
bracis-19046	142	52	in	in	ADP
bracis-19046	142	53	the	the	DET
bracis-19046	142	54	datasets	dataset	NOUN
bracis-19046	142	55	(	(	PUNCT
bracis-19046	142	56	greater	great	ADJ
bracis-19046	142	57	values	value	NOUN
bracis-19046	142	58	are	be	AUX
bracis-19046	142	59	highlighted	highlight	VERB
bracis-19046	142	60	in	in	ADP
bracis-19046	142	61	bold	bold	ADJ
bracis-19046	142	62	)	)	PUNCT
bracis-19046	142	63	.	.	PUNCT
bracis-19046	143	1	in	in	ADP
bracis-19046	143	2	the	the	DET
bracis-19046	143	3	knn	knn	PROPN
bracis-19046	143	4	-	-	PUNCT
bracis-19046	143	5	hds	hds	PROPN
bracis-19046	143	6	method	method	NOUN
bracis-19046	143	7	,	,	PUNCT
bracis-19046	143	8	rates	rate	NOUN
bracis-19046	143	9	represent	represent	VERB
bracis-19046	143	10	the	the	DET
bracis-19046	143	11	best	good	ADJ
bracis-19046	143	12	hf	hf	NOUN
bracis-19046	143	13	results	result	NOUN
bracis-19046	143	14	obtained	obtain	VERB
bracis-19046	143	15	in	in	ADP
bracis-19046	143	16	the	the	DET
bracis-19046	143	17	parameters	parameter	NOUN
bracis-19046	143	18	configuration	configuration	NOUN
bracis-19046	143	19	(	(	PUNCT
bracis-19046	143	20	as	as	SCONJ
bracis-19046	143	21	described	describe	VERB
bracis-19046	143	22	in	in	ADP
bracis-19046	143	23	sect	sect	NOUN
bracis-19046	143	24	.	.	PUNCT
bracis-19046	143	25	 	 	SPACE
bracis-19046	143	26	5.1	5.1	NUM
bracis-19046	143	27	)	)	PUNCT
bracis-19046	143	28	.	.	PUNCT
bracis-19046	144	1	table	table	NOUN
bracis-19046	144	2	2	2	NUM
bracis-19046	144	3	.	.	PUNCT
bracis-19046	144	4	hierarchical	hierarchical	ADJ
bracis-19046	144	5	f	f	NOUN
bracis-19046	144	6	-	-	PUNCT
bracis-19046	144	7	measure	measure	NOUN
bracis-19046	144	8	(	(	PUNCT
bracis-19046	144	9	hf	hf	NOUN
bracis-19046	144	10	)	)	PUNCT
bracis-19046	144	11	and	and	CCONJ
bracis-19046	144	12	instances	instance	NOUN
bracis-19046	144	13	per	per	ADP
bracis-19046	144	14	second	second	ADJ
bracis-19046	144	15	rates	rate	NOUN
bracis-19046	144	16	obtained	obtain	VERB
bracis-19046	144	17	during	during	ADP
bracis-19046	144	18	experiments.full	experiments.full	NUM
bracis-19046	144	19	size	size	NOUN
bracis-19046	144	20	table	table	NOUN
bracis-19046	144	21	in	in	ADP
bracis-19046	144	22	terms	term	NOUN
bracis-19046	144	23	of	of	ADP
bracis-19046	144	24	predictive	predictive	ADJ
bracis-19046	144	25	performance	performance	NOUN
bracis-19046	144	26	assessment	assessment	NOUN
bracis-19046	144	27	,	,	PUNCT
bracis-19046	144	28	the	the	DET
bracis-19046	144	29	gnb	gnb	PROPN
bracis-19046	144	30	-	-	PUNCT
bracis-19046	144	31	hds	hds	PROPN
bracis-19046	144	32	method	method	NOUN
bracis-19046	144	33	obtained	obtain	VERB
bracis-19046	144	34	better	well	ADJ
bracis-19046	144	35	hf	hf	ADP
bracis-19046	144	36	rates	rate	NOUN
bracis-19046	144	37	in	in	ADP
bracis-19046	144	38	10	10	NUM
bracis-19046	144	39	out	out	ADP
bracis-19046	144	40	of	of	ADP
bracis-19046	144	41	the	the	DET
bracis-19046	144	42	14	14	NUM
bracis-19046	144	43	datasets	dataset	NOUN
bracis-19046	144	44	.	.	PUNCT
bracis-19046	145	1	however	however	ADV
bracis-19046	145	2	,	,	PUNCT
bracis-19046	145	3	hf	hf	ADJ
bracis-19046	145	4	values	value	NOUN
bracis-19046	145	5	are	be	AUX
bracis-19046	145	6	similar	similar	ADJ
bracis-19046	145	7	across	across	ADP
bracis-19046	145	8	both	both	DET
bracis-19046	145	9	methods	method	NOUN
bracis-19046	145	10	,	,	PUNCT
bracis-19046	145	11	such	such	ADJ
bracis-19046	145	12	that	that	SCONJ
bracis-19046	145	13	the	the	DET
bracis-19046	145	14	average	average	ADJ
bracis-19046	145	15	difference	difference	NOUN
bracis-19046	145	16	between	between	ADP
bracis-19046	145	17	them	they	PRON
bracis-19046	145	18	is	be	AUX
bracis-19046	145	19	0.44	0.44	NUM
bracis-19046	145	20	%	%	NOUN
bracis-19046	145	21	while	while	SCONJ
bracis-19046	145	22	favoring	favor	VERB
bracis-19046	145	23	gnb	gnb	PROPN
bracis-19046	145	24	-	-	PUNCT
bracis-19046	145	25	hds	hds	PROPN
bracis-19046	145	26	.	.	PUNCT
bracis-19046	146	1	despite	despite	SCONJ
bracis-19046	146	2	the	the	DET
bracis-19046	146	3	improvements	improvement	NOUN
bracis-19046	146	4	,	,	PUNCT
bracis-19046	146	5	the	the	DET
bracis-19046	146	6	wilcoxon	wilcoxon	ADJ
bracis-19046	146	7	test	test	NOUN
bracis-19046	146	8	showed	show	VERB
bracis-19046	146	9	no	no	DET
bracis-19046	146	10	statistical	statistical	ADJ
bracis-19046	146	11	difference	difference	NOUN
bracis-19046	146	12	between	between	ADP
bracis-19046	146	13	hf	hf	NOUN
bracis-19046	146	14	rates	rate	NOUN
bracis-19046	146	15	obtained	obtain	VERB
bracis-19046	146	16	by	by	ADP
bracis-19046	146	17	the	the	DET
bracis-19046	146	18	methods	method	NOUN
bracis-19046	146	19	(	(	PUNCT
bracis-19046	146	20	p-\(value	p-\(value	NOUN
bracis-19046	146	21	=	=	NOUN
bracis-19046	146	22	0.2209\	0.2209\	NOUN
bracis-19046	146	23	)	)	PUNCT
bracis-19046	146	24	)	)	PUNCT
bracis-19046	146	25	.	.	PUNCT
bracis-19046	147	1	concerning	concern	VERB
bracis-19046	147	2	processing	processing	NOUN
bracis-19046	147	3	speed	speed	NOUN
bracis-19046	147	4	comparison	comparison	NOUN
bracis-19046	147	5	,	,	PUNCT
bracis-19046	147	6	the	the	DET
bracis-19046	147	7	gnb	gnb	PROPN
bracis-19046	147	8	-	-	PUNCT
bracis-19046	147	9	hds	hds	PROPN
bracis-19046	147	10	method	method	NOUN
bracis-19046	147	11	was	be	AUX
bracis-19046	147	12	able	able	ADJ
bracis-19046	147	13	to	to	PART
bracis-19046	147	14	process	process	VERB
bracis-19046	147	15	more	more	ADJ
bracis-19046	147	16	instances	instance	NOUN
bracis-19046	147	17	per	per	ADP
bracis-19046	147	18	second	second	ADJ
bracis-19046	147	19	across	across	ADP
bracis-19046	147	20	all	all	DET
bracis-19046	147	21	datasets	dataset	NOUN
bracis-19046	147	22	,	,	PUNCT
bracis-19046	147	23	with	with	ADP
bracis-19046	147	24	an	an	DET
bracis-19046	147	25	average	average	ADJ
bracis-19046	147	26	rate	rate	NOUN
bracis-19046	147	27	of	of	ADP
bracis-19046	147	28	446.21	446.21	NUM
bracis-19046	147	29	instances	instance	NOUN
bracis-19046	147	30	against	against	ADP
bracis-19046	147	31	140.43	140.43	NUM
bracis-19046	147	32	of	of	ADP
bracis-19046	147	33	the	the	DET
bracis-19046	147	34	knn	knn	PROPN
bracis-19046	147	35	-	-	PUNCT
bracis-19046	147	36	hds	hds	PROPN
bracis-19046	147	37	method	method	NOUN
bracis-19046	147	38	.	.	PUNCT
bracis-19046	148	1	thus	thus	ADV
bracis-19046	148	2	,	,	PUNCT
bracis-19046	148	3	on	on	ADP
bracis-19046	148	4	average	average	ADJ
bracis-19046	148	5	,	,	PUNCT
bracis-19046	148	6	our	our	PRON
bracis-19046	148	7	method	method	NOUN
bracis-19046	148	8	was	be	AUX
bracis-19046	148	9	able	able	ADJ
bracis-19046	148	10	to	to	PART
bracis-19046	148	11	process	process	VERB
bracis-19046	148	12	3.2	3.2	NUM
bracis-19046	148	13	times	time	NOUN
bracis-19046	148	14	more	more	ADJ
bracis-19046	148	15	instances	instance	NOUN
bracis-19046	148	16	than	than	ADP
bracis-19046	148	17	the	the	DET
bracis-19046	148	18	knn	knn	PROPN
bracis-19046	148	19	-	-	PUNCT
bracis-19046	148	20	hds	hds	PROPN
bracis-19046	148	21	method	method	NOUN
bracis-19046	148	22	.	.	PUNCT
bracis-19046	149	1	a	a	DET
bracis-19046	149	2	one	one	NUM
bracis-19046	149	3	-	-	PUNCT
bracis-19046	149	4	tailed	tail	VERB
bracis-19046	149	5	wilcoxon	wilcoxon	ADJ
bracis-19046	149	6	test	test	NOUN
bracis-19046	149	7	indicated	indicate	VERB
bracis-19046	149	8	a	a	DET
bracis-19046	149	9	statistical	statistical	ADJ
bracis-19046	149	10	difference	difference	NOUN
bracis-19046	149	11	between	between	ADP
bracis-19046	149	12	instances	instance	NOUN
bracis-19046	149	13	per	per	ADP
bracis-19046	149	14	second	second	ADJ
bracis-19046	149	15	rates	rate	NOUN
bracis-19046	149	16	obtained	obtain	VERB
bracis-19046	149	17	by	by	ADP
bracis-19046	149	18	both	both	DET
bracis-19046	149	19	methods	method	NOUN
bracis-19046	149	20	(	(	PUNCT
bracis-19046	149	21	p-\(value	p-\(value	NOUN
bracis-19046	149	22	=	=	PUNCT
bracis-19046	149	23	0.0005\	0.0005\	NOUN
bracis-19046	149	24	)	)	PUNCT
bracis-19046	149	25	)	)	PUNCT
bracis-19046	149	26	and	and	CCONJ
bracis-19046	149	27	confirmed	confirm	VERB
bracis-19046	149	28	that	that	SCONJ
bracis-19046	149	29	gnb	gnb	PROPN
bracis-19046	149	30	-	-	PUNCT
bracis-19046	149	31	hds	hds	PROPN
bracis-19046	149	32	is	be	AUX
bracis-19046	149	33	significantly	significantly	ADV
bracis-19046	149	34	faster	fast	ADV
bracis-19046	149	35	when	when	SCONJ
bracis-19046	149	36	compared	compare	VERB
bracis-19046	149	37	to	to	ADP
bracis-19046	149	38	knn	knn	PROPN
bracis-19046	149	39	-	-	PUNCT
bracis-19046	149	40	hds	hds	PROPN
bracis-19046	149	41	method	method	NOUN
bracis-19046	149	42	.	.	PUNCT
bracis-19046	150	1	considering	consider	VERB
bracis-19046	150	2	predictive	predictive	ADJ
bracis-19046	150	3	performance	performance	NOUN
bracis-19046	150	4	and	and	CCONJ
bracis-19046	150	5	processing	processing	NOUN
bracis-19046	150	6	speed	speed	NOUN
bracis-19046	150	7	rates	rate	NOUN
bracis-19046	150	8	,	,	PUNCT
bracis-19046	150	9	gnb	gnb	PROPN
bracis-19046	150	10	-	-	PUNCT
bracis-19046	150	11	hds	hds	PROPN
bracis-19046	150	12	can	can	AUX
bracis-19046	150	13	obtain	obtain	VERB
bracis-19046	150	14	computational	computational	ADJ
bracis-19046	150	15	performance	performance	NOUN
bracis-19046	150	16	improvements	improvement	NOUN
bracis-19046	150	17	without	without	ADP
bracis-19046	150	18	significant	significant	ADJ
bracis-19046	150	19	threats	threat	NOUN
bracis-19046	150	20	to	to	ADP
bracis-19046	150	21	the	the	DET
bracis-19046	150	22	predictive	predictive	ADJ
bracis-19046	150	23	performance	performance	NOUN
bracis-19046	150	24	by	by	ADP
bracis-19046	150	25	using	use	VERB
bracis-19046	150	26	statistical	statistical	ADJ
bracis-19046	150	27	summaries	summary	NOUN
bracis-19046	150	28	of	of	ADP
bracis-19046	150	29	data	datum	NOUN
bracis-19046	150	30	combined	combine	VERB
bracis-19046	150	31	with	with	ADP
bracis-19046	150	32	the	the	DET
bracis-19046	150	33	class	class	NOUN
bracis-19046	150	34	hierarchy	hierarchy	NOUN
bracis-19046	150	35	information	information	NOUN
bracis-19046	150	36	.	.	PUNCT
bracis-19046	151	1	as	as	SCONJ
bracis-19046	151	2	aforementioned	aforementione	VERB
bracis-19046	151	3	,	,	PUNCT
bracis-19046	151	4	the	the	DET
bracis-19046	151	5	gnb	gnb	PROPN
bracis-19046	151	6	-	-	PUNCT
bracis-19046	151	7	hds	hds	PROPN
bracis-19046	151	8	method	method	NOUN
bracis-19046	151	9	uses	use	VERB
bracis-19046	151	10	the	the	DET
bracis-19046	151	11	premise	premise	NOUN
bracis-19046	151	12	of	of	ADP
bracis-19046	151	13	a	a	DET
bracis-19046	151	14	gaussian	gaussian	NOUN
bracis-19046	151	15	(	(	PUNCT
bracis-19046	151	16	normal	normal	ADJ
bracis-19046	151	17	)	)	PUNCT
bracis-19046	151	18	data	datum	NOUN
bracis-19046	151	19	distribution	distribution	NOUN
bracis-19046	151	20	to	to	PART
bracis-19046	151	21	deal	deal	VERB
bracis-19046	151	22	with	with	ADP
bracis-19046	151	23	instance	instance	NOUN
bracis-19046	151	24	representation	representation	NOUN
bracis-19046	151	25	in	in	ADP
bracis-19046	151	26	the	the	DET
bracis-19046	151	27	learning	learning	NOUN
bracis-19046	151	28	model	model	NOUN
bracis-19046	151	29	[	[	X
bracis-19046	151	30	30	30	NUM
bracis-19046	151	31	]	]	PUNCT
bracis-19046	151	32	.	.	PUNCT
bracis-19046	152	1	in	in	ADP
bracis-19046	152	2	this	this	DET
bracis-19046	152	3	sense	sense	NOUN
bracis-19046	152	4	,	,	PUNCT
bracis-19046	152	5	in	in	ADP
bracis-19046	152	6	addition	addition	NOUN
bracis-19046	152	7	to	to	ADP
bracis-19046	152	8	the	the	DET
bracis-19046	152	9	previously	previously	ADV
bracis-19046	152	10	described	describe	VERB
bracis-19046	152	11	analysis	analysis	NOUN
bracis-19046	152	12	,	,	PUNCT
bracis-19046	152	13	we	we	PRON
bracis-19046	152	14	investigated	investigate	VERB
bracis-19046	152	15	if	if	SCONJ
bracis-19046	152	16	gnb	gnb	PROPN
bracis-19046	152	17	-	-	PUNCT
bracis-19046	152	18	hds	hds	PROPN
bracis-19046	152	19	could	could	AUX
bracis-19046	152	20	use	use	VERB
bracis-19046	152	21	its	its	PRON
bracis-19046	152	22	premise	premise	NOUN
bracis-19046	152	23	to	to	PART
bracis-19046	152	24	obtain	obtain	VERB
bracis-19046	152	25	better	well	ADJ
bracis-19046	152	26	hf	hf	ADP
bracis-19046	152	27	rates	rate	NOUN
bracis-19046	152	28	when	when	SCONJ
bracis-19046	152	29	data	datum	NOUN
bracis-19046	152	30	is	be	AUX
bracis-19046	152	31	normally	normally	ADV
bracis-19046	152	32	distributed	distribute	VERB
bracis-19046	152	33	.	.	PUNCT
bracis-19046	153	1	thus	thus	ADV
bracis-19046	153	2	,	,	PUNCT
bracis-19046	153	3	the	the	DET
bracis-19046	153	4	gnb	gnb	PROPN
bracis-19046	153	5	-	-	PUNCT
bracis-19046	153	6	hds	hds	PROPN
bracis-19046	153	7	method	method	NOUN
bracis-19046	153	8	,	,	PUNCT
bracis-19046	153	9	in	in	ADP
bracis-19046	153	10	addition	addition	NOUN
bracis-19046	153	11	to	to	ADP
bracis-19046	153	12	its	its	PRON
bracis-19046	153	13	speed	speed	NOUN
bracis-19046	153	14	,	,	PUNCT
bracis-19046	153	15	would	would	AUX
bracis-19046	153	16	present	present	VERB
bracis-19046	153	17	an	an	DET
bracis-19046	153	18	additional	additional	ADJ
bracis-19046	153	19	advantage	advantage	NOUN
bracis-19046	153	20	to	to	ADP
bracis-19046	153	21	the	the	DET
bracis-19046	153	22	knn	knn	PROPN
bracis-19046	153	23	-	-	PUNCT
bracis-19046	153	24	hds	hds	PROPN
bracis-19046	153	25	method	method	NOUN
bracis-19046	153	26	(	(	PUNCT
bracis-19046	153	27	or	or	CCONJ
bracis-19046	153	28	to	to	ADP
bracis-19046	153	29	any	any	DET
bracis-19046	153	30	other	other	ADJ
bracis-19046	153	31	method	method	NOUN
bracis-19046	153	32	that	that	PRON
bracis-19046	153	33	does	do	AUX
bracis-19046	153	34	not	not	PART
bracis-19046	153	35	use	use	VERB
bracis-19046	153	36	the	the	DET
bracis-19046	153	37	premise	premise	NOUN
bracis-19046	153	38	of	of	ADP
bracis-19046	153	39	data	datum	NOUN
bracis-19046	153	40	normality	normality	NOUN
bracis-19046	153	41	)	)	PUNCT
bracis-19046	153	42	since	since	SCONJ
bracis-19046	153	43	it	it	PRON
bracis-19046	153	44	would	would	AUX
bracis-19046	153	45	be	be	AUX
bracis-19046	153	46	more	more	ADV
bracis-19046	153	47	adapted	adapted	ADJ
bracis-19046	153	48	to	to	PART
bracis-19046	153	49	classify	classify	VERB
bracis-19046	153	50	normally	normally	ADV
bracis-19046	153	51	distributed	distribute	VERB
bracis-19046	153	52	data	datum	NOUN
bracis-19046	153	53	.	.	PUNCT
bracis-19046	154	1	this	this	DET
bracis-19046	154	2	advantage	advantage	NOUN
bracis-19046	154	3	can	can	AUX
bracis-19046	154	4	be	be	AUX
bracis-19046	154	5	even	even	ADV
bracis-19046	154	6	more	more	ADV
bracis-19046	154	7	noticeable	noticeable	ADJ
bracis-19046	154	8	when	when	SCONJ
bracis-19046	154	9	we	we	PRON
bracis-19046	154	10	consider	consider	VERB
bracis-19046	154	11	the	the	DET
bracis-19046	154	12	data	datum	NOUN
bracis-19046	154	13	stream	stream	NOUN
bracis-19046	154	14	context	context	NOUN
bracis-19046	154	15	,	,	PUNCT
bracis-19046	154	16	where	where	SCONJ
bracis-19046	154	17	data	datum	NOUN
bracis-19046	154	18	are	be	AUX
bracis-19046	154	19	potentially	potentially	ADV
bracis-19046	154	20	unbounded	unbounded	ADJ
bracis-19046	154	21	and	and	CCONJ
bracis-19046	154	22	statistical	statistical	ADJ
bracis-19046	154	23	descriptors	descriptor	NOUN
bracis-19046	154	24	,	,	PUNCT
bracis-19046	154	25	such	such	ADJ
bracis-19046	154	26	as	as	ADP
bracis-19046	154	27	mean	mean	ADJ
bracis-19046	154	28	and	and	CCONJ
bracis-19046	154	29	standard	standard	ADJ
bracis-19046	154	30	deviation	deviation	NOUN
bracis-19046	154	31	,	,	PUNCT
bracis-19046	154	32	are	be	AUX
bracis-19046	154	33	more	more	ADV
bracis-19046	154	34	likely	likely	ADJ
bracis-19046	154	35	to	to	PART
bracis-19046	154	36	obtain	obtain	VERB
bracis-19046	154	37	better	well	ADJ
bracis-19046	154	38	representations	representation	NOUN
bracis-19046	154	39	of	of	ADP
bracis-19046	154	40	the	the	DET
bracis-19046	154	41	population	population	NOUN
bracis-19046	154	42	.	.	PUNCT
bracis-19046	155	1	to	to	PART
bracis-19046	155	2	examine	examine	VERB
bracis-19046	155	3	this	this	DET
bracis-19046	155	4	claim	claim	NOUN
bracis-19046	155	5	,	,	PUNCT
bracis-19046	155	6	we	we	PRON
bracis-19046	155	7	perform	perform	VERB
bracis-19046	155	8	a	a	DET
bracis-19046	155	9	shapiro	shapiro	PROPN
bracis-19046	155	10	-	-	PUNCT
bracis-19046	155	11	wilk	wilk	NOUN
bracis-19046	155	12	test	test	NOUN
bracis-19046	155	13	of	of	ADP
bracis-19046	155	14	normality	normality	NOUN
bracis-19046	156	1	[	[	X
bracis-19046	156	2	34	34	NUM
bracis-19046	156	3	]	]	PUNCT
bracis-19046	156	4	in	in	ADP
bracis-19046	156	5	all	all	DET
bracis-19046	156	6	the	the	DET
bracis-19046	156	7	datasets	dataset	NOUN
bracis-19046	156	8	and	and	CCONJ
bracis-19046	156	9	applied	apply	VERB
bracis-19046	156	10	the	the	DET
bracis-19046	156	11	yeo	yeo	PROPN
bracis-19046	156	12	-	-	PUNCT
bracis-19046	156	13	johnson	johnson	PROPN
bracis-19046	156	14	power	power	NOUN
bracis-19046	156	15	transformation	transformation	NOUN
bracis-19046	156	16	technique	technique	NOUN
bracis-19046	157	1	[	[	X
bracis-19046	157	2	44	44	NUM
bracis-19046	157	3	]	]	PUNCT
bracis-19046	157	4	in	in	ADP
bracis-19046	157	5	all	all	DET
bracis-19046	157	6	data	datum	NOUN
bracis-19046	157	7	to	to	PART
bracis-19046	157	8	improve	improve	VERB
bracis-19046	157	9	their	their	PRON
bracis-19046	157	10	adherence	adherence	NOUN
bracis-19046	157	11	to	to	ADP
bracis-19046	157	12	a	a	DET
bracis-19046	157	13	more	more	ADV
bracis-19046	157	14	normal	normal	ADJ
bracis-19046	157	15	distribution	distribution	NOUN
bracis-19046	157	16	.	.	PUNCT
bracis-19046	158	1	the	the	DET
bracis-19046	158	2	data	data	NOUN
bracis-19046	158	3	normality	normality	NOUN
bracis-19046	158	4	was	be	AUX
bracis-19046	158	5	measured	measure	VERB
bracis-19046	158	6	by	by	ADP
bracis-19046	158	7	shapiro	shapiro	PROPN
bracis-19046	158	8	-	-	PUNCT
bracis-19046	158	9	wilk	wilk	NOUN
bracis-19046	158	10	test	test	NOUN
bracis-19046	158	11	before	before	ADP
bracis-19046	158	12	and	and	CCONJ
bracis-19046	158	13	after	after	ADP
bracis-19046	158	14	the	the	DET
bracis-19046	158	15	application	application	NOUN
bracis-19046	158	16	of	of	ADP
bracis-19046	158	17	the	the	DET
bracis-19046	158	18	yeo	yeo	PROPN
bracis-19046	158	19	-	-	PUNCT
bracis-19046	158	20	johnson	johnson	PROPN
bracis-19046	158	21	transformation	transformation	NOUN
bracis-19046	158	22	.	.	PUNCT
bracis-19046	159	1	table	table	NOUN
bracis-19046	159	2	 	 	SPACE
bracis-19046	159	3	3	3	NUM
bracis-19046	159	4	depicts	depict	VERB
bracis-19046	159	5	the	the	DET
bracis-19046	159	6	shapiro	shapiro	PROPN
bracis-19046	159	7	-	-	PUNCT
bracis-19046	159	8	wilk	wilk	NOUN
bracis-19046	159	9	w	w	PROPN
bracis-19046	159	10	statistic	statistic	PROPN
bracis-19046	159	11	before	before	ADV
bracis-19046	159	12	(	(	PUNCT
bracis-19046	159	13	raw	raw	ADJ
bracis-19046	159	14	data	datum	NOUN
bracis-19046	159	15	)	)	PUNCT
bracis-19046	159	16	and	and	CCONJ
bracis-19046	159	17	after	after	ADP
bracis-19046	159	18	(	(	PUNCT
bracis-19046	159	19	transformed	transform	VERB
bracis-19046	159	20	data	datum	NOUN
bracis-19046	159	21	)	)	PUNCT
bracis-19046	159	22	the	the	DET
bracis-19046	159	23	yeo	yeo	PROPN
bracis-19046	159	24	-	-	PUNCT
bracis-19046	159	25	johnson	johnson	PROPN
bracis-19046	159	26	transformation	transformation	NOUN
bracis-19046	159	27	.	.	PUNCT
bracis-19046	160	1	w	w	PROPN
bracis-19046	160	2	statistic	statistic	PROPN
bracis-19046	160	3	is	be	AUX
bracis-19046	160	4	bounded	bound	VERB
bracis-19046	160	5	by	by	ADP
bracis-19046	160	6	1	1	NUM
bracis-19046	160	7	,	,	PUNCT
bracis-19046	160	8	and	and	CCONJ
bracis-19046	160	9	closer	close	ADJ
bracis-19046	160	10	values	value	NOUN
bracis-19046	160	11	to	to	ADP
bracis-19046	160	12	this	this	DET
bracis-19046	160	13	upper	upper	ADJ
bracis-19046	160	14	bound	bind	VERB
bracis-19046	160	15	represent	represent	VERB
bracis-19046	160	16	data	datum	NOUN
bracis-19046	160	17	more	more	ADV
bracis-19046	160	18	fitted	fit	VERB
bracis-19046	160	19	to	to	ADP
bracis-19046	160	20	a	a	DET
bracis-19046	160	21	normal	normal	ADJ
bracis-19046	160	22	distribution	distribution	NOUN
bracis-19046	160	23	.	.	PUNCT
bracis-19046	161	1	in	in	ADP
bracis-19046	161	2	addition	addition	NOUN
bracis-19046	161	3	,	,	PUNCT
bracis-19046	161	4	table	table	NOUN
bracis-19046	161	5	 	 	SPACE
bracis-19046	161	6	3	3	NUM
bracis-19046	161	7	depicts	depict	VERB
bracis-19046	161	8	the	the	DET
bracis-19046	161	9	hierarchical	hierarchical	ADJ
bracis-19046	161	10	f	f	NOUN
bracis-19046	161	11	-	-	PUNCT
bracis-19046	161	12	measure	measure	NOUN
bracis-19046	161	13	(	(	PUNCT
bracis-19046	161	14	hf	hf	NOUN
bracis-19046	161	15	)	)	PUNCT
bracis-19046	161	16	obtained	obtain	VERB
bracis-19046	161	17	by	by	ADP
bracis-19046	161	18	both	both	DET
bracis-19046	161	19	gnb	gnb	PROPN
bracis-19046	161	20	-	-	PUNCT
bracis-19046	161	21	hds	hds	PROPN
bracis-19046	161	22	and	and	CCONJ
bracis-19046	161	23	knn	knn	PROPN
bracis-19046	161	24	-	-	PUNCT
bracis-19046	161	25	hds	hds	PROPN
bracis-19046	161	26	methods	method	NOUN
bracis-19046	161	27	when	when	SCONJ
bracis-19046	161	28	applied	apply	VERB
bracis-19046	161	29	in	in	ADP
bracis-19046	161	30	both	both	CCONJ
bracis-19046	161	31	raw	raw	ADJ
bracis-19046	161	32	and	and	CCONJ
bracis-19046	161	33	transformed	transform	VERB
bracis-19046	161	34	datasets	dataset	NOUN
bracis-19046	161	35	.	.	PUNCT
bracis-19046	162	1	one	one	PRON
bracis-19046	162	2	can	can	AUX
bracis-19046	162	3	note	note	VERB
bracis-19046	162	4	that	that	SCONJ
bracis-19046	162	5	the	the	DET
bracis-19046	162	6	predictive	predictive	ADJ
bracis-19046	162	7	performance	performance	NOUN
bracis-19046	162	8	of	of	ADP
bracis-19046	162	9	gnb	gnb	PROPN
bracis-19046	162	10	-	-	PUNCT
bracis-19046	162	11	hds	hds	PROPN
bracis-19046	162	12	was	be	AUX
bracis-19046	162	13	improved	improve	VERB
bracis-19046	162	14	when	when	SCONJ
bracis-19046	162	15	using	use	VERB
bracis-19046	162	16	transformed	transform	VERB
bracis-19046	162	17	data	datum	NOUN
bracis-19046	162	18	in	in	ADP
bracis-19046	162	19	13	13	NUM
bracis-19046	162	20	out	out	ADV
bracis-19046	162	21	14	14	NUM
bracis-19046	162	22	datasets	dataset	NOUN
bracis-19046	162	23	.	.	PUNCT
bracis-19046	163	1	likewise	likewise	ADV
bracis-19046	163	2	,	,	PUNCT
bracis-19046	163	3	the	the	DET
bracis-19046	163	4	average	average	ADJ
bracis-19046	163	5	hf	hf	NOUN
bracis-19046	163	6	increased	increase	VERB
bracis-19046	163	7	2.35	2.35	NUM
bracis-19046	163	8	%	%	NOUN
bracis-19046	163	9	,	,	PUNCT
bracis-19046	163	10	with	with	ADP
bracis-19046	163	11	noticeable	noticeable	ADJ
bracis-19046	163	12	increases	increase	NOUN
bracis-19046	163	13	in	in	ADP
bracis-19046	163	14	some	some	DET
bracis-19046	163	15	datasets	dataset	NOUN
bracis-19046	163	16	,	,	PUNCT
bracis-19046	163	17	such	such	ADJ
bracis-19046	163	18	as	as	ADP
bracis-19046	163	19	entomology	entomology	NOUN
bracis-19046	163	20	(	(	PUNCT
bracis-19046	163	21	5.23	5.23	NUM
bracis-19046	163	22	%	%	NOUN
bracis-19046	163	23	)	)	PUNCT
bracis-19046	163	24	and	and	CCONJ
bracis-19046	163	25	insects	insect	NOUN
bracis-19046	163	26	-	-	PUNCT
bracis-19046	163	27	o	o	NOUN
bracis-19046	163	28	-	-	NOUN
bracis-19046	163	29	o	o	NOUN
bracis-19046	163	30	-	-	NOUN
bracis-19046	163	31	c	c	X
bracis-19046	163	32	(	(	PUNCT
bracis-19046	163	33	5.32	5.32	NUM
bracis-19046	163	34	%	%	NOUN
bracis-19046	163	35	)	)	PUNCT
bracis-19046	163	36	.	.	PUNCT
bracis-19046	164	1	oppositely	oppositely	ADV
bracis-19046	164	2	,	,	PUNCT
bracis-19046	164	3	knn	knn	PROPN
bracis-19046	164	4	-	-	PUNCT
bracis-19046	164	5	hds	hds	PROPN
bracis-19046	164	6	could	could	AUX
bracis-19046	164	7	not	not	PART
bracis-19046	164	8	achieve	achieve	VERB
bracis-19046	164	9	the	the	DET
bracis-19046	164	10	same	same	ADJ
bracis-19046	164	11	improvements	improvement	NOUN
bracis-19046	164	12	.	.	PUNCT
bracis-19046	165	1	in	in	ADP
bracis-19046	165	2	fact	fact	NOUN
bracis-19046	165	3	,	,	PUNCT
bracis-19046	165	4	knn	knn	PROPN
bracis-19046	165	5	-	-	PUNCT
bracis-19046	165	6	hds	hds	PROPN
bracis-19046	165	7	obtained	obtain	VERB
bracis-19046	165	8	lower	low	ADJ
bracis-19046	165	9	hf	hf	ADP
bracis-19046	165	10	rates	rate	NOUN
bracis-19046	165	11	with	with	ADP
bracis-19046	165	12	the	the	DET
bracis-19046	165	13	transformed	transform	VERB
bracis-19046	165	14	data	datum	NOUN
bracis-19046	165	15	resulting	result	VERB
bracis-19046	165	16	in	in	ADP
bracis-19046	165	17	a	a	DET
bracis-19046	165	18	decrease	decrease	NOUN
bracis-19046	165	19	of	of	ADP
bracis-19046	165	20	1.6	1.6	NUM
bracis-19046	165	21	%	%	NOUN
bracis-19046	165	22	in	in	ADP
bracis-19046	165	23	the	the	DET
bracis-19046	165	24	average	average	ADJ
bracis-19046	165	25	hf	hf	NOUN
bracis-19046	165	26	from	from	ADP
bracis-19046	165	27	72.16	72.16	NUM
bracis-19046	165	28	%	%	NOUN
bracis-19046	165	29	to	to	ADP
bracis-19046	165	30	70.56	70.56	NUM
bracis-19046	165	31	%	%	NOUN
bracis-19046	165	32	.	.	PUNCT
bracis-19046	166	1	table	table	NOUN
bracis-19046	166	2	3	3	NUM
bracis-19046	166	3	.	.	PUNCT
bracis-19046	166	4	shapiro	shapiro	PROPN
bracis-19046	166	5	-	-	PUNCT
bracis-19046	166	6	wilk	wilk	PROPN
bracis-19046	166	7	w	w	PROPN
bracis-19046	166	8	statistic	statistic	NOUN
bracis-19046	166	9	of	of	ADP
bracis-19046	166	10	datasets	dataset	NOUN
bracis-19046	166	11	and	and	CCONJ
bracis-19046	166	12	hierarchical	hierarchical	ADJ
bracis-19046	166	13	f	f	NOUN
bracis-19046	166	14	-	-	PUNCT
bracis-19046	166	15	measure	measure	NOUN
bracis-19046	166	16	(	(	PUNCT
bracis-19046	166	17	hf	hf	NOUN
bracis-19046	166	18	)	)	PUNCT
bracis-19046	166	19	obtained	obtain	VERB
bracis-19046	166	20	by	by	ADP
bracis-19046	166	21	gnb	gnb	PROPN
bracis-19046	166	22	-	-	PUNCT
bracis-19046	166	23	hds	hds	PROPN
bracis-19046	166	24	with	with	ADP
bracis-19046	166	25	raw	raw	ADJ
bracis-19046	166	26	and	and	CCONJ
bracis-19046	166	27	transformed	transform	VERB
bracis-19046	166	28	data.full	data.full	NOUN
bracis-19046	166	29	size	size	NOUN
bracis-19046	166	30	table	table	NOUN
bracis-19046	166	31	finally	finally	ADV
bracis-19046	166	32	,	,	PUNCT
bracis-19046	166	33	we	we	PRON
bracis-19046	166	34	performed	perform	VERB
bracis-19046	166	35	one	one	NUM
bracis-19046	166	36	-	-	PUNCT
bracis-19046	166	37	tailed	tail	VERB
bracis-19046	166	38	wilcoxon	wilcoxon	ADJ
bracis-19046	166	39	tests	test	NOUN
bracis-19046	166	40	to	to	PART
bracis-19046	166	41	verify	verify	VERB
bracis-19046	166	42	if	if	SCONJ
bracis-19046	166	43	the	the	DET
bracis-19046	166	44	results	result	NOUN
bracis-19046	166	45	obtained	obtain	VERB
bracis-19046	166	46	with	with	ADP
bracis-19046	166	47	the	the	DET
bracis-19046	166	48	transformed	transform	VERB
bracis-19046	166	49	datasets	dataset	NOUN
bracis-19046	166	50	are	be	AUX
bracis-19046	166	51	significantly	significantly	ADV
bracis-19046	166	52	higher	high	ADJ
bracis-19046	166	53	than	than	ADP
bracis-19046	166	54	with	with	ADP
bracis-19046	166	55	raw	raw	ADJ
bracis-19046	166	56	data	datum	NOUN
bracis-19046	166	57	for	for	ADP
bracis-19046	166	58	both	both	PRON
bracis-19046	166	59	gnb	gnb	PROPN
bracis-19046	166	60	-	-	PUNCT
bracis-19046	166	61	hds	hds	PROPN
bracis-19046	166	62	and	and	CCONJ
bracis-19046	166	63	knn	knn	PROPN
bracis-19046	166	64	-	-	PUNCT
bracis-19046	166	65	hds	hds	PROPN
bracis-19046	166	66	methods	method	NOUN
bracis-19046	166	67	.	.	PUNCT
bracis-19046	167	1	on	on	ADP
bracis-19046	167	2	knn	knn	PROPN
bracis-19046	167	3	-	-	PUNCT
bracis-19046	167	4	hds	hds	PROPN
bracis-19046	167	5	,	,	PUNCT
bracis-19046	167	6	the	the	DET
bracis-19046	167	7	test	test	NOUN
bracis-19046	167	8	indicated	indicate	VERB
bracis-19046	167	9	a	a	DET
bracis-19046	167	10	statistical	statistical	ADJ
bracis-19046	167	11	difference	difference	NOUN
bracis-19046	167	12	between	between	ADP
bracis-19046	167	13	performances	performance	NOUN
bracis-19046	167	14	with	with	ADP
bracis-19046	167	15	both	both	DET
bracis-19046	167	16	data	datum	NOUN
bracis-19046	167	17	(	(	PUNCT
bracis-19046	167	18	p-\(value	p-\(value	NOUN
bracis-19046	167	19	=	=	SYM
bracis-19046	167	20	0.0009\	0.0009\	ADJ
bracis-19046	167	21	)	)	PUNCT
bracis-19046	167	22	)	)	PUNCT
bracis-19046	167	23	favoring	favor	VERB
bracis-19046	167	24	raw	raw	ADJ
bracis-19046	167	25	data	datum	NOUN
bracis-19046	167	26	,	,	PUNCT
bracis-19046	167	27	i.e.	i.e.	X
bracis-19046	167	28	,	,	PUNCT
bracis-19046	167	29	knn	knn	PROPN
bracis-19046	167	30	-	-	PUNCT
bracis-19046	167	31	hds	hds	PROPN
bracis-19046	167	32	does	do	AUX
bracis-19046	167	33	not	not	PART
bracis-19046	167	34	benefit	benefit	VERB
bracis-19046	167	35	from	from	ADP
bracis-19046	167	36	a	a	DET
bracis-19046	167	37	more	more	ADV
bracis-19046	167	38	normal	normal	ADJ
bracis-19046	167	39	distributed	distribute	VERB
bracis-19046	167	40	data	datum	NOUN
bracis-19046	167	41	.	.	PUNCT
bracis-19046	168	1	in	in	ADP
bracis-19046	168	2	contrast	contrast	NOUN
bracis-19046	168	3	,	,	PUNCT
bracis-19046	168	4	on	on	ADP
bracis-19046	168	5	gnb	gnb	PROPN
bracis-19046	168	6	-	-	PUNCT
bracis-19046	168	7	hds	hds	PROPN
bracis-19046	168	8	the	the	DET
bracis-19046	168	9	test	test	NOUN
bracis-19046	168	10	indicated	indicate	VERB
bracis-19046	168	11	a	a	DET
bracis-19046	168	12	statistical	statistical	ADJ
bracis-19046	168	13	difference	difference	NOUN
bracis-19046	168	14	between	between	ADP
bracis-19046	168	15	performances	performance	NOUN
bracis-19046	168	16	with	with	ADP
bracis-19046	168	17	both	both	DET
bracis-19046	168	18	data	datum	NOUN
bracis-19046	168	19	(	(	PUNCT
bracis-19046	168	20	p-\(value	p-\(value	NOUN
bracis-19046	168	21	=	=	SYM
bracis-19046	168	22	0.0006\	0.0006\	NOUN
bracis-19046	168	23	)	)	PUNCT
bracis-19046	168	24	)	)	PUNCT
bracis-19046	168	25	favoring	favor	VERB
bracis-19046	168	26	the	the	DET
bracis-19046	168	27	transformed	transform	VERB
bracis-19046	168	28	data	datum	NOUN
bracis-19046	168	29	and	and	CCONJ
bracis-19046	168	30	has	have	AUX
bracis-19046	168	31	confirmed	confirm	VERB
bracis-19046	168	32	that	that	SCONJ
bracis-19046	168	33	gnb	gnb	PROPN
bracis-19046	168	34	-	-	PUNCT
bracis-19046	168	35	hds	hds	PROPN
bracis-19046	168	36	can	can	AUX
bracis-19046	168	37	take	take	VERB
bracis-19046	168	38	advantage	advantage	NOUN
bracis-19046	168	39	of	of	ADP
bracis-19046	168	40	a	a	DET
bracis-19046	168	41	more	more	ADV
bracis-19046	168	42	normal	normal	ADJ
bracis-19046	168	43	distribution	distribution	NOUN
bracis-19046	168	44	-	-	PUNCT
bracis-19046	168	45	like	like	ADJ
bracis-19046	168	46	data	datum	NOUN
bracis-19046	168	47	,	,	PUNCT
bracis-19046	168	48	thus	thus	ADV
bracis-19046	168	49	corroborating	corroborate	VERB
bracis-19046	168	50	our	our	PRON
bracis-19046	168	51	claims	claim	NOUN
bracis-19046	168	52	.	.	PUNCT
bracis-19046	169	1	6	6	NUM
bracis-19046	169	2	conclusion	conclusion	NOUN
bracis-19046	169	3	in	in	ADP
bracis-19046	169	4	this	this	DET
bracis-19046	169	5	paper	paper	NOUN
bracis-19046	169	6	,	,	PUNCT
bracis-19046	169	7	we	we	PRON
bracis-19046	169	8	proposed	propose	VERB
bracis-19046	169	9	gnb	gnb	PROPN
bracis-19046	169	10	-	-	PUNCT
bracis-19046	169	11	hds	hds	PROPN
bracis-19046	169	12	,	,	PUNCT
bracis-19046	169	13	an	an	DET
bracis-19046	169	14	algorithm	algorithm	NOUN
bracis-19046	169	15	for	for	ADP
bracis-19046	169	16	hierarchical	hierarchical	ADJ
bracis-19046	169	17	classification	classification	NOUN
bracis-19046	169	18	of	of	ADP
bracis-19046	169	19	data	datum	NOUN
bracis-19046	169	20	streams	stream	NOUN
bracis-19046	169	21	using	use	VERB
bracis-19046	169	22	data	datum	NOUN
bracis-19046	169	23	summaries	summary	NOUN
bracis-19046	169	24	to	to	PART
bracis-19046	169	25	represent	represent	VERB
bracis-19046	169	26	data	datum	NOUN
bracis-19046	169	27	.	.	PUNCT
bracis-19046	170	1	our	our	PRON
bracis-19046	170	2	proposal	proposal	NOUN
bracis-19046	170	3	is	be	AUX
bracis-19046	170	4	incremental	incremental	ADJ
bracis-19046	170	5	and	and	CCONJ
bracis-19046	170	6	handles	handle	VERB
bracis-19046	170	7	potentially	potentially	ADV
bracis-19046	170	8	unbounded	unbounded	ADJ
bracis-19046	170	9	data	datum	NOUN
bracis-19046	170	10	streams	stream	NOUN
bracis-19046	170	11	with	with	ADP
bracis-19046	170	12	constant	constant	ADJ
bracis-19046	170	13	memory	memory	NOUN
bracis-19046	170	14	consumption	consumption	NOUN
bracis-19046	170	15	.	.	PUNCT
bracis-19046	171	1	consequently	consequently	ADV
bracis-19046	171	2	,	,	PUNCT
bracis-19046	171	3	the	the	DET
bracis-19046	171	4	proposed	propose	VERB
bracis-19046	171	5	method	method	NOUN
bracis-19046	171	6	processes	process	VERB
bracis-19046	171	7	more	more	ADJ
bracis-19046	171	8	instances	instance	NOUN
bracis-19046	171	9	per	per	ADP
bracis-19046	171	10	second	second	NOUN
bracis-19046	171	11	without	without	ADP
bracis-19046	171	12	dreadful	dreadful	ADJ
bracis-19046	171	13	impacts	impact	NOUN
bracis-19046	171	14	in	in	ADP
bracis-19046	171	15	prediction	prediction	NOUN
bracis-19046	171	16	rates	rate	NOUN
bracis-19046	171	17	when	when	SCONJ
bracis-19046	171	18	compared	compare	VERB
bracis-19046	171	19	to	to	ADP
bracis-19046	171	20	existing	exist	VERB
bracis-19046	171	21	knn	knn	PROPN
bracis-19046	171	22	-	-	PUNCT
bracis-19046	171	23	based	base	VERB
bracis-19046	171	24	techniques	technique	NOUN
bracis-19046	171	25	.	.	PUNCT
bracis-19046	172	1	to	to	ADP
bracis-19046	172	2	the	the	DET
bracis-19046	172	3	best	good	ADJ
bracis-19046	172	4	of	of	ADP
bracis-19046	172	5	our	our	PRON
bracis-19046	172	6	knowledge	knowledge	NOUN
bracis-19046	172	7	,	,	PUNCT
bracis-19046	172	8	our	our	PRON
bracis-19046	172	9	method	method	NOUN
bracis-19046	172	10	extends	extend	VERB
bracis-19046	172	11	the	the	DET
bracis-19046	172	12	state	state	NOUN
bracis-19046	172	13	-	-	PUNCT
bracis-19046	172	14	of	of	ADP
bracis-19046	172	15	-	-	PUNCT
bracis-19046	172	16	the	the	DET
bracis-19046	172	17	-	-	PUNCT
bracis-19046	172	18	art	art	NOUN
bracis-19046	172	19	being	be	AUX
bracis-19046	172	20	the	the	DET
bracis-19046	172	21	first	first	ADJ
bracis-19046	172	22	incremental	incremental	ADJ
bracis-19046	172	23	method	method	NOUN
bracis-19046	172	24	based	base	VERB
bracis-19046	172	25	on	on	ADP
bracis-19046	172	26	bayes	bayes	PROPN
bracis-19046	172	27	’	'	PUNCT
bracis-19046	172	28	theorem	theorem	NOUN
bracis-19046	172	29	tailored	tailor	VERB
bracis-19046	172	30	for	for	ADP
bracis-19046	172	31	hierarchical	hierarchical	ADJ
bracis-19046	172	32	data	datum	NOUN
bracis-19046	172	33	streams	stream	VERB
bracis-19046	172	34	classification	classification	NOUN
bracis-19046	172	35	.	.	PUNCT
bracis-19046	173	1	the	the	DET
bracis-19046	173	2	resulting	result	VERB
bracis-19046	173	3	source	source	NOUN
bracis-19046	173	4	code	code	NOUN
bracis-19046	173	5	and	and	CCONJ
bracis-19046	173	6	all	all	DET
bracis-19046	173	7	the	the	DET
bracis-19046	173	8	datasets	dataset	NOUN
bracis-19046	173	9	used	use	VERB
bracis-19046	173	10	in	in	ADP
bracis-19046	173	11	the	the	DET
bracis-19046	173	12	experiments	experiment	NOUN
bracis-19046	173	13	are	be	AUX
bracis-19046	173	14	freely	freely	ADV
bracis-19046	173	15	available	available	ADJ
bracis-19046	173	16	for	for	ADP
bracis-19046	173	17	download	download	NOUN
bracis-19046	173	18	to	to	PART
bracis-19046	173	19	be	be	AUX
bracis-19046	173	20	used	use	VERB
bracis-19046	173	21	as	as	ADP
bracis-19046	173	22	a	a	DET
bracis-19046	173	23	baseline	baseline	NOUN
bracis-19046	173	24	to	to	PART
bracis-19046	173	25	further	further	ADJ
bracis-19046	173	26	research	research	NOUN
bracis-19046	173	27	on	on	ADP
bracis-19046	173	28	the	the	DET
bracis-19046	173	29	hierarchical	hierarchical	ADJ
bracis-19046	173	30	classification	classification	NOUN
bracis-19046	173	31	of	of	ADP
bracis-19046	173	32	data	datum	NOUN
bracis-19046	173	33	streams	stream	NOUN
bracis-19046	173	34	,	,	PUNCT
bracis-19046	173	35	such	such	ADJ
bracis-19046	173	36	as	as	ADP
bracis-19046	173	37	data	data	NOUN
bracis-19046	173	38	preprocessing	preprocessing	NOUN
bracis-19046	173	39	,	,	PUNCT
bracis-19046	173	40	computational	computational	ADJ
bracis-19046	173	41	resources	resource	NOUN
bracis-19046	173	42	analysis	analysis	NOUN
bracis-19046	173	43	,	,	PUNCT
bracis-19046	173	44	and	and	CCONJ
bracis-19046	173	45	concept	concept	NOUN
bracis-19046	173	46	drift	drift	NOUN
bracis-19046	173	47	detection	detection	NOUN
bracis-19046	173	48	and	and	CCONJ
bracis-19046	173	49	adaptation	adaptation	NOUN
bracis-19046	173	50	.	.	PUNCT
bracis-19046	174	1	in	in	ADP
bracis-19046	174	2	future	future	ADJ
bracis-19046	174	3	works	work	NOUN
bracis-19046	174	4	,	,	PUNCT
bracis-19046	174	5	we	we	PRON
bracis-19046	174	6	are	be	AUX
bracis-19046	174	7	interested	interested	ADJ
bracis-19046	174	8	in	in	ADP
bracis-19046	174	9	designing	design	VERB
bracis-19046	174	10	and	and	CCONJ
bracis-19046	174	11	applying	apply	VERB
bracis-19046	174	12	other	other	ADJ
bracis-19046	174	13	data	datum	NOUN
bracis-19046	174	14	summaries	summary	NOUN
bracis-19046	174	15	and	and	CCONJ
bracis-19046	174	16	different	different	ADJ
bracis-19046	174	17	window	window	NOUN
bracis-19046	174	18	types	type	NOUN
bracis-19046	174	19	to	to	PART
bracis-19046	174	20	maintain	maintain	VERB
bracis-19046	174	21	more	more	ADJ
bracis-19046	174	22	than	than	ADP
bracis-19046	174	23	one	one	NUM
bracis-19046	174	24	a	a	DET
bracis-19046	174	25	priori	priori	ADJ
bracis-19046	174	26	probabilities	probability	NOUN
bracis-19046	174	27	per	per	ADP
bracis-19046	174	28	class	class	NOUN
bracis-19046	174	29	to	to	PART
bracis-19046	174	30	allow	allow	VERB
bracis-19046	174	31	a	a	DET
bracis-19046	174	32	posteriori	posteriori	NOUN
bracis-19046	174	33	probabilities	probability	NOUN
bracis-19046	174	34	calculation	calculation	NOUN
bracis-19046	174	35	weighted	weight	VERB
bracis-19046	174	36	by	by	ADP
bracis-19046	174	37	data	datum	NOUN
bracis-19046	174	38	newness	newness	NOUN
bracis-19046	174	39	.	.	PUNCT
bracis-19046	175	1	also	also	ADV
bracis-19046	175	2	,	,	PUNCT
bracis-19046	175	3	we	we	PRON
bracis-19046	175	4	are	be	AUX
bracis-19046	175	5	interested	interested	ADJ
bracis-19046	175	6	in	in	ADP
bracis-19046	175	7	applying	apply	VERB
bracis-19046	175	8	existing	exist	VERB
bracis-19046	175	9	drift	drift	NOUN
bracis-19046	175	10	detectors	detector	NOUN
bracis-19046	175	11	[	[	X
bracis-19046	175	12	6	6	NUM
bracis-19046	175	13	,	,	PUNCT
bracis-19046	175	14	8	8	NUM
bracis-19046	175	15	,	,	PUNCT
bracis-19046	175	16	17	17	NUM
bracis-19046	175	17	]	]	PUNCT
bracis-19046	175	18	to	to	PART
bracis-19046	175	19	increase	increase	VERB
bracis-19046	175	20	the	the	DET
bracis-19046	175	21	responsiveness	responsiveness	NOUN
bracis-19046	175	22	to	to	ADP
bracis-19046	175	23	changes	change	NOUN
bracis-19046	175	24	in	in	ADP
bracis-19046	175	25	the	the	DET
bracis-19046	175	26	data	datum	NOUN
bracis-19046	175	27	distribution	distribution	NOUN
bracis-19046	175	28	.	.	PUNCT
bracis-19046	176	1	notes	note	NOUN
bracis-19046	176	2	1.http://www.ppgia.pucpr.br/~jean.barddal/datasets/gnb-hds.zip	1.http://www.ppgia.pucpr.br/~jean.barddal/datasets/gnb-hds.zip	NUM
bracis-19046	176	3	.	.	PUNCT
bracis-19046	177	1	references	reference	NOUN
bracis-19046	177	2	aha	aha	INTJ
bracis-19046	177	3	,	,	PUNCT
bracis-19046	177	4	d.w	d.w	PROPN
bracis-19046	177	5	.	.	PROPN
bracis-19046	177	6	,	,	PUNCT
bracis-19046	177	7	kibler	kibler	PROPN
bracis-19046	177	8	,	,	PUNCT
bracis-19046	177	9	d.	d.	PROPN
bracis-19046	177	10	,	,	PUNCT
bracis-19046	177	11	albert	albert	PROPN
bracis-19046	177	12	,	,	PUNCT
bracis-19046	177	13	m.k	m.k	PROPN
bracis-19046	177	14	.	.	PUNCT
bracis-19046	177	15	:	:	PUNCT
bracis-19046	177	16	instance	instance	NOUN
bracis-19046	177	17	-	-	PUNCT
bracis-19046	177	18	based	base	VERB
bracis-19046	177	19	learning	learning	NOUN
bracis-19046	177	20	algorithms	algorithm	NOUN
bracis-19046	177	21	.	.	PUNCT
bracis-19046	178	1	mach	mach	NOUN
bracis-19046	178	2	.	.	PUNCT
bracis-19046	179	1	learn	learn	VERB
bracis-19046	179	2	.	.	PUNCT
bracis-19046	180	1	6(1	6(1	NUM
bracis-19046	180	2	)	)	PUNCT
bracis-19046	180	3	,	,	PUNCT
bracis-19046	180	4	37–66	37–66	NUM
bracis-19046	180	5	(	(	PUNCT
bracis-19046	180	6	1991	1991	NUM
bracis-19046	180	7	)	)	PUNCT
bracis-19046	180	8	google	google	PROPN
bracis-19046	180	9	scholar	scholar	NOUN
bracis-19046	180	10	  	  	SPACE
bracis-19046	180	11	alcobé	alcobé	PROPN
bracis-19046	180	12	,	,	PUNCT
bracis-19046	180	13	j.	j.	PROPN
bracis-19046	180	14	:	:	PUNCT
bracis-19046	180	15	incremental	incremental	ADJ
bracis-19046	180	16	learning	learning	NOUN
bracis-19046	180	17	of	of	ADP
bracis-19046	180	18	tree	tree	NOUN
bracis-19046	180	19	augmented	augment	VERB
bracis-19046	180	20	naive	naive	ADJ
bracis-19046	180	21	bayes	bayes	NOUN
bracis-19046	180	22	classifiers	classifier	NOUN
bracis-19046	180	23	.	.	PUNCT
bracis-19046	181	1	in	in	ADP
bracis-19046	181	2	:	:	PUNCT
bracis-19046	181	3	garijo	garijo	NOUN
bracis-19046	181	4	,	,	PUNCT
bracis-19046	181	5	f.j	f.j	PROPN
bracis-19046	181	6	.	.	PROPN
bracis-19046	181	7	,	,	PUNCT
bracis-19046	181	8	riquelme	riquelme	PROPN
bracis-19046	181	9	,	,	PUNCT
bracis-19046	181	10	j.c	j.c	PROPN
bracis-19046	181	11	.	.	PROPN
bracis-19046	181	12	,	,	PUNCT
bracis-19046	181	13	toro	toro	PROPN
bracis-19046	181	14	,	,	PUNCT
bracis-19046	181	15	m.	m.	NOUN
bracis-19046	181	16	(	(	PUNCT
bracis-19046	181	17	eds	ed	NOUN
bracis-19046	181	18	.	.	PUNCT
bracis-19046	181	19	)	)	PUNCT
bracis-19046	182	1	iberamia	iberamia	PROPN
bracis-19046	182	2	2002	2002	NUM
bracis-19046	182	3	.	.	PUNCT
bracis-19046	183	1	lncs	lncs	PROPN
bracis-19046	183	2	(	(	PUNCT
bracis-19046	183	3	lnai	lnai	ADJ
bracis-19046	183	4	)	)	PUNCT
bracis-19046	183	5	,	,	PUNCT
bracis-19046	183	6	vol	vol	NOUN
bracis-19046	183	7	.	.	PROPN
bracis-19046	183	8	2527	2527	NUM
bracis-19046	183	9	,	,	PUNCT
bracis-19046	183	10	pp	pp	ADV
bracis-19046	183	11	.	.	PUNCT
bracis-19046	184	1	32–41	32–41	NUM
bracis-19046	184	2	.	.	PUNCT
bracis-19046	184	3	springer	springer	NOUN
bracis-19046	184	4	,	,	PUNCT
bracis-19046	184	5	heidelberg	heidelberg	PROPN
bracis-19046	184	6	(	(	PUNCT
bracis-19046	184	7	2002	2002	NUM
bracis-19046	184	8	)	)	PUNCT
bracis-19046	184	9	.	.	PUNCT
bracis-19046	185	1	https://doi.org/10.1007/3-540-36131-6_4	https://doi.org/10.1007/3-540-36131-6_4	PROPN
bracis-19046	185	2	chapter	chapter	NOUN
bracis-19046	185	3	  	  	SPACE
bracis-19046	185	4	google	google	PROPN
bracis-19046	185	5	scholar	scholar	NOUN
bracis-19046	185	6	  	  	SPACE
bracis-19046	185	7	anderson	anderson	PROPN
bracis-19046	185	8	,	,	PUNCT
bracis-19046	185	9	j.r	j.r	PROPN
bracis-19046	185	10	.	.	PROPN
bracis-19046	185	11	,	,	PUNCT
bracis-19046	185	12	matessa	matessa	NOUN
bracis-19046	185	13	,	,	PUNCT
bracis-19046	185	14	m.	m.	NOUN
bracis-19046	185	15	:	:	PUNCT
bracis-19046	185	16	explorations	exploration	NOUN
bracis-19046	185	17	of	of	ADP
bracis-19046	185	18	an	an	DET
bracis-19046	185	19	incremental	incremental	ADJ
bracis-19046	185	20	,	,	PUNCT
bracis-19046	185	21	bayesian	bayesian	NOUN
bracis-19046	185	22	algorithm	algorithm	NOUN
bracis-19046	185	23	for	for	ADP
bracis-19046	185	24	categorization	categorization	NOUN
bracis-19046	185	25	.	.	PUNCT
bracis-19046	186	1	mach	mach	NOUN
bracis-19046	186	2	.	.	PUNCT
bracis-19046	187	1	learn	learn	VERB
bracis-19046	187	2	.	.	PUNCT
bracis-19046	188	1	9(4	9(4	NUM
bracis-19046	188	2	)	)	PUNCT
bracis-19046	188	3	,	,	PUNCT
bracis-19046	188	4	275–308	275–308	NUM
bracis-19046	188	5	(	(	PUNCT
bracis-19046	188	6	1992	1992	NUM
bracis-19046	188	7	)	)	PUNCT
bracis-19046	188	8	google	google	PROPN
bracis-19046	188	9	scholar	scholar	NOUN
bracis-19046	188	10	  	  	SPACE
bracis-19046	188	11	bahri	bahri	PROPN
bracis-19046	188	12	,	,	PUNCT
bracis-19046	188	13	m.	m.	NOUN
bracis-19046	188	14	,	,	PUNCT
bracis-19046	188	15	maniu	maniu	PROPN
bracis-19046	188	16	,	,	PUNCT
bracis-19046	188	17	s.	s.	PROPN
bracis-19046	188	18	,	,	PUNCT
bracis-19046	188	19	bifet	bifet	PROPN
bracis-19046	188	20	,	,	PUNCT
bracis-19046	188	21	a.	a.	NOUN
bracis-19046	188	22	:	:	PUNCT
bracis-19046	188	23	a	a	DET
bracis-19046	188	24	sketch	sketch	NOUN
bracis-19046	188	25	-	-	PUNCT
bracis-19046	188	26	based	base	VERB
bracis-19046	188	27	naive	naive	ADJ
bracis-19046	188	28	bayes	bayes	NOUN
bracis-19046	188	29	algorithms	algorithm	NOUN
bracis-19046	188	30	for	for	ADP
bracis-19046	188	31	evolving	evolve	VERB
bracis-19046	188	32	data	datum	NOUN
bracis-19046	188	33	streams	stream	NOUN
bracis-19046	188	34	.	.	PUNCT
bracis-19046	189	1	in	in	ADP
bracis-19046	189	2	:	:	PUNCT
bracis-19046	189	3	2018	2018	NUM
bracis-19046	189	4	ieee	ieee	NOUN
bracis-19046	189	5	international	international	ADJ
bracis-19046	189	6	conference	conference	NOUN
bracis-19046	189	7	on	on	ADP
bracis-19046	189	8	big	big	ADJ
bracis-19046	189	9	data	datum	NOUN
bracis-19046	189	10	(	(	PUNCT
bracis-19046	189	11	big	big	ADJ
bracis-19046	189	12	data	datum	NOUN
bracis-19046	189	13	)	)	PUNCT
bracis-19046	189	14	,	,	PUNCT
bracis-19046	189	15	pp	pp	ADP
bracis-19046	189	16	.	.	PUNCT
bracis-19046	190	1	604–613	604–613	NUM
bracis-19046	190	2	.	.	PUNCT
bracis-19046	190	3	ieee	ieee	NOUN
bracis-19046	190	4	(	(	PUNCT
bracis-19046	190	5	2018	2018	NUM
bracis-19046	190	6	)	)	PUNCT
bracis-19046	190	7	google	google	NOUN
bracis-19046	190	8	scholar	scholar	NOUN
bracis-19046	190	9	  	  	SPACE
bracis-19046	190	10	barddal	barddal	NOUN
bracis-19046	190	11	,	,	PUNCT
bracis-19046	190	12	j.p	j.p	PROPN
bracis-19046	190	13	.	.	PROPN
bracis-19046	190	14	,	,	PUNCT
bracis-19046	190	15	gomes	gomes	PROPN
bracis-19046	190	16	,	,	PUNCT
bracis-19046	190	17	h.m	h.m	PROPN
bracis-19046	190	18	.	.	PROPN
bracis-19046	190	19	,	,	PUNCT
bracis-19046	190	20	enembreck	enembreck	PROPN
bracis-19046	190	21	,	,	PUNCT
bracis-19046	190	22	f.	f.	PROPN
bracis-19046	190	23	,	,	PUNCT
bracis-19046	190	24	pfahringer	pfahringer	NOUN
bracis-19046	190	25	,	,	PUNCT
bracis-19046	190	26	b.	b.	PROPN
bracis-19046	190	27	,	,	PUNCT
bracis-19046	190	28	bifet	bifet	PROPN
bracis-19046	190	29	,	,	PUNCT
bracis-19046	190	30	a.	a.	NOUN
bracis-19046	190	31	:	:	PUNCT
bracis-19046	190	32	on	on	ADP
bracis-19046	190	33	dynamic	dynamic	ADJ
bracis-19046	190	34	feature	feature	NOUN
bracis-19046	190	35	weighting	weight	VERB
bracis-19046	190	36	for	for	ADP
bracis-19046	190	37	feature	feature	NOUN
bracis-19046	190	38	drifting	drift	VERB
bracis-19046	190	39	data	datum	NOUN
bracis-19046	190	40	streams	stream	NOUN
bracis-19046	190	41	.	.	PUNCT
bracis-19046	191	1	in	in	ADP
bracis-19046	191	2	:	:	PUNCT
bracis-19046	191	3	frasconi	frasconi	ADJ
bracis-19046	191	4	,	,	PUNCT
bracis-19046	191	5	p.	p.	NOUN
bracis-19046	191	6	,	,	PUNCT
bracis-19046	191	7	landwehr	landwehr	NOUN
bracis-19046	191	8	,	,	PUNCT
bracis-19046	191	9	n.	n.	NOUN
bracis-19046	191	10	,	,	PUNCT
bracis-19046	191	11	manco	manco	PROPN
bracis-19046	191	12	,	,	PUNCT
bracis-19046	191	13	g.	g.	PROPN
bracis-19046	191	14	,	,	PUNCT
bracis-19046	191	15	vreeken	vreeken	VERB
bracis-19046	191	16	,	,	PUNCT
bracis-19046	191	17	j.	j.	PROPN
bracis-19046	191	18	(	(	PUNCT
bracis-19046	191	19	eds	eds	PROPN
bracis-19046	191	20	.	.	PUNCT
bracis-19046	191	21	)	)	PUNCT
bracis-19046	191	22	ecml	ecml	PROPN
bracis-19046	191	23	pkdd	pkdd	NOUN
bracis-19046	191	24	2016	2016	NUM
bracis-19046	191	25	.	.	PUNCT
bracis-19046	192	1	lncs	lncs	PROPN
bracis-19046	192	2	(	(	PUNCT
bracis-19046	192	3	lnai	lnai	ADJ
bracis-19046	192	4	)	)	PUNCT
bracis-19046	192	5	,	,	PUNCT
bracis-19046	192	6	vol	vol	NOUN
bracis-19046	192	7	.	.	PROPN
bracis-19046	192	8	9852	9852	NUM
bracis-19046	192	9	,	,	PUNCT
bracis-19046	192	10	pp	pp	ADP
bracis-19046	192	11	.	.	PUNCT
bracis-19046	193	1	129–144	129–144	NUM
bracis-19046	193	2	.	.	PUNCT
bracis-19046	193	3	springer	springer	NOUN
bracis-19046	193	4	,	,	PUNCT
bracis-19046	193	5	cham	cham	PROPN
bracis-19046	193	6	(	(	PUNCT
bracis-19046	193	7	2016	2016	NUM
bracis-19046	193	8	)	)	PUNCT
bracis-19046	193	9	.	.	PUNCT
bracis-19046	194	1	https://doi.org/10.1007/978-3-319-46227-1_9	https://doi.org/10.1007/978-3-319-46227-1_9	PROPN
bracis-19046	194	2	chapter	chapter	NOUN
bracis-19046	194	3	  	  	SPACE
bracis-19046	194	4	google	google	PROPN
bracis-19046	194	5	scholar	scholar	NOUN
bracis-19046	194	6	  	  	SPACE
bracis-19046	194	7	barros	barros	PROPN
bracis-19046	194	8	,	,	PUNCT
bracis-19046	194	9	r.s	r.s	PROPN
bracis-19046	194	10	.	.	PROPN
bracis-19046	194	11	,	,	PUNCT
bracis-19046	194	12	cabral	cabral	PROPN
bracis-19046	194	13	,	,	PUNCT
bracis-19046	194	14	d.r	d.r	PROPN
bracis-19046	194	15	.	.	PROPN
bracis-19046	194	16	,	,	PUNCT
bracis-19046	194	17	gonçalves	gonçalves	PROPN
bracis-19046	194	18	jr	jr	PROPN
bracis-19046	194	19	.	.	PROPN
bracis-19046	194	20	,	,	PUNCT
bracis-19046	194	21	p.m.	p.m.	NOUN
bracis-19046	194	22	,	,	PUNCT
bracis-19046	194	23	santos	santos	PROPN
bracis-19046	194	24	,	,	PUNCT
bracis-19046	194	25	s.g	s.g	PROPN
bracis-19046	194	26	.	.	PROPN
bracis-19046	194	27	:	:	PUNCT
bracis-19046	195	1	rddm	rddm	NOUN
bracis-19046	195	2	:	:	PUNCT
bracis-19046	195	3	reactive	reactive	ADJ
bracis-19046	195	4	drift	drift	NOUN
bracis-19046	195	5	detection	detection	NOUN
bracis-19046	195	6	method	method	NOUN
bracis-19046	195	7	.	.	PUNCT
bracis-19046	196	1	expert	expert	NOUN
bracis-19046	196	2	syst	syst	PROPN
bracis-19046	196	3	.	.	PUNCT
bracis-19046	197	1	appl	appl	PROPN
bracis-19046	197	2	.	.	PROPN
bracis-19046	198	1	90	90	NUM
bracis-19046	198	2	,	,	PUNCT
bracis-19046	198	3	344–355	344–355	NUM
bracis-19046	198	4	(	(	PUNCT
bracis-19046	198	5	2017	2017	NUM
bracis-19046	198	6	)	)	PUNCT
bracis-19046	198	7	google	google	NOUN
bracis-19046	198	8	scholar	scholar	NOUN
bracis-19046	198	9	  	  	SPACE
bracis-19046	198	10	bi	bi	NOUN
bracis-19046	198	11	,	,	PUNCT
bracis-19046	198	12	w.	w.	PROPN
bracis-19046	198	13	,	,	PUNCT
bracis-19046	198	14	kwok	kwok	PROPN
bracis-19046	198	15	,	,	PUNCT
bracis-19046	198	16	j.t	j.t	PROPN
bracis-19046	198	17	.	.	PROPN
bracis-19046	198	18	:	:	PUNCT
bracis-19046	199	1	bayes	bayes	NOUN
bracis-19046	199	2	-	-	PUNCT
bracis-19046	199	3	optimal	optimal	ADJ
bracis-19046	199	4	hierarchical	hierarchical	ADJ
bracis-19046	199	5	multilabel	multilabel	NOUN
bracis-19046	199	6	classification	classification	NOUN
bracis-19046	199	7	.	.	PUNCT
bracis-19046	200	1	ieee	ieee	PROPN
bracis-19046	200	2	trans	trans	PROPN
bracis-19046	200	3	.	.	PROPN
bracis-19046	201	1	knowl	knowl	PROPN
bracis-19046	201	2	.	.	PUNCT
bracis-19046	202	1	data	data	PROPN
bracis-19046	202	2	eng	eng	PROPN
bracis-19046	202	3	.	.	PROPN
bracis-19046	202	4	27(11	27(11	NUM
bracis-19046	202	5	)	)	PUNCT
bracis-19046	202	6	,	,	PUNCT
bracis-19046	202	7	2907–2918	2907–2918	NUM
bracis-19046	202	8	(	(	PUNCT
bracis-19046	202	9	2015	2015	NUM
bracis-19046	202	10	)	)	PUNCT
bracis-19046	202	11	article	article	NOUN
bracis-19046	202	12	  	  	SPACE
bracis-19046	202	13	google	google	PROPN
bracis-19046	202	14	scholar	scholar	NOUN
bracis-19046	202	15	  	  	SPACE
bracis-19046	202	16	bifet	bifet	PROPN
bracis-19046	202	17	,	,	PUNCT
bracis-19046	202	18	a.	a.	NOUN
bracis-19046	202	19	,	,	PUNCT
bracis-19046	202	20	gavalda	gavalda	PROPN
bracis-19046	202	21	,	,	PUNCT
bracis-19046	202	22	r.	r.	PROPN
bracis-19046	202	23	:	:	PUNCT
bracis-19046	202	24	learning	learn	VERB
bracis-19046	202	25	from	from	ADP
bracis-19046	202	26	time	time	NOUN
bracis-19046	202	27	-	-	PUNCT
bracis-19046	202	28	changing	change	VERB
bracis-19046	202	29	data	datum	NOUN
bracis-19046	202	30	with	with	ADP
bracis-19046	202	31	adaptive	adaptive	ADJ
bracis-19046	202	32	windowing	windowing	NOUN
bracis-19046	202	33	.	.	PUNCT
bracis-19046	203	1	in	in	ADP
bracis-19046	203	2	:	:	PUNCT
bracis-19046	203	3	proceedings	proceeding	NOUN
bracis-19046	203	4	of	of	ADP
bracis-19046	203	5	the	the	DET
bracis-19046	203	6	2007	2007	NUM
bracis-19046	203	7	siam	siam	PROPN
bracis-19046	203	8	international	international	ADJ
bracis-19046	203	9	conference	conference	NOUN
bracis-19046	203	10	on	on	ADP
bracis-19046	203	11	data	datum	NOUN
bracis-19046	203	12	mining	mining	NOUN
bracis-19046	203	13	,	,	PUNCT
bracis-19046	203	14	pp	pp	ADJ
bracis-19046	203	15	.	.	PUNCT
bracis-19046	204	1	443–448	443–448	NUM
bracis-19046	204	2	.	.	PUNCT
bracis-19046	205	1	siam	siam	PROPN
bracis-19046	205	2	(	(	PUNCT
bracis-19046	205	3	2007	2007	NUM
bracis-19046	205	4	)	)	PUNCT
bracis-19046	205	5	google	google	PROPN
bracis-19046	205	6	scholar	scholar	NOUN
bracis-19046	205	7	  	  	SPACE
bracis-19046	205	8	bifet	bifet	PROPN
bracis-19046	205	9	,	,	PUNCT
bracis-19046	205	10	a.	a.	NOUN
bracis-19046	205	11	,	,	PUNCT
bracis-19046	205	12	holmes	holmes	PROPN
bracis-19046	205	13	,	,	PUNCT
bracis-19046	205	14	g.	g.	PROPN
bracis-19046	205	15	,	,	PUNCT
bracis-19046	205	16	pfahringer	pfahringer	NOUN
bracis-19046	205	17	,	,	PUNCT
bracis-19046	205	18	b.	b.	PROPN
bracis-19046	205	19	,	,	PUNCT
bracis-19046	205	20	kirkby	kirkby	PROPN
bracis-19046	205	21	,	,	PUNCT
bracis-19046	205	22	r.	r.	PROPN
bracis-19046	205	23	,	,	PUNCT
bracis-19046	205	24	gavalda	gavalda	PROPN
bracis-19046	205	25	,	,	PUNCT
bracis-19046	205	26	r.	r.	PROPN
bracis-19046	205	27	:	:	PUNCT
bracis-19046	205	28	new	new	ADJ
bracis-19046	205	29	ensemble	ensemble	ADJ
bracis-19046	205	30	methods	method	NOUN
bracis-19046	205	31	for	for	ADP
bracis-19046	205	32	evolving	evolve	VERB
bracis-19046	205	33	data	datum	NOUN
bracis-19046	205	34	streams	stream	NOUN
bracis-19046	205	35	.	.	PUNCT
bracis-19046	206	1	in	in	ADP
bracis-19046	206	2	:	:	PUNCT
bracis-19046	206	3	proceedings	proceeding	NOUN
bracis-19046	206	4	of	of	ADP
bracis-19046	206	5	the	the	DET
bracis-19046	206	6	15th	15th	PROPN
bracis-19046	206	7	acm	acm	PROPN
bracis-19046	206	8	sigkdd	sigkdd	NOUN
bracis-19046	206	9	international	international	ADJ
bracis-19046	206	10	conference	conference	NOUN
bracis-19046	206	11	on	on	ADP
bracis-19046	206	12	knowledge	knowledge	NOUN
bracis-19046	206	13	discovery	discovery	PROPN
bracis-19046	206	14	and	and	CCONJ
bracis-19046	206	15	data	datum	NOUN
bracis-19046	206	16	mining	mining	NOUN
bracis-19046	206	17	,	,	PUNCT
bracis-19046	206	18	pp	pp	ADJ
bracis-19046	206	19	.	.	PUNCT
bracis-19046	207	1	139–148	139–148	NUM
bracis-19046	207	2	(	(	PUNCT
bracis-19046	207	3	2009	2009	NUM
bracis-19046	207	4	)	)	PUNCT
bracis-19046	207	5	google	google	PROPN
bracis-19046	207	6	scholar	scholar	NOUN
bracis-19046	207	7	  	  	SPACE
bracis-19046	207	8	bifet	bifet	PROPN
bracis-19046	207	9	,	,	PUNCT
bracis-19046	207	10	a.	a.	NOUN
bracis-19046	207	11	,	,	PUNCT
bracis-19046	207	12	kirkby	kirkby	NOUN
bracis-19046	207	13	,	,	PUNCT
bracis-19046	207	14	r.	r.	PROPN
bracis-19046	207	15	:	:	PUNCT
bracis-19046	207	16	data	data	NOUN
bracis-19046	207	17	stream	stream	NOUN
bracis-19046	207	18	mining	mine	VERB
bracis-19046	207	19	a	a	DET
bracis-19046	207	20	practical	practical	ADJ
bracis-19046	207	21	approach	approach	NOUN
bracis-19046	207	22	(	(	PUNCT
bracis-19046	207	23	2009	2009	NUM
bracis-19046	207	24	)	)	PUNCT
bracis-19046	207	25	google	google	PROPN
bracis-19046	207	26	scholar	scholar	NOUN
bracis-19046	207	27	  	  	SPACE
bracis-19046	207	28	bishop	bishop	NOUN
bracis-19046	207	29	,	,	PUNCT
bracis-19046	207	30	c.m	c.m	PROPN
bracis-19046	207	31	.	.	PROPN
bracis-19046	207	32	:	:	PUNCT
bracis-19046	207	33	pattern	pattern	NOUN
bracis-19046	207	34	recognition	recognition	NOUN
bracis-19046	207	35	and	and	CCONJ
bracis-19046	207	36	machine	machine	NOUN
bracis-19046	207	37	learning	learning	NOUN
bracis-19046	207	38	.	.	PUNCT
bracis-19046	208	1	springer	springer	PROPN
bracis-19046	208	2	,	,	PUNCT
bracis-19046	208	3	heidelberg	heidelberg	PROPN
bracis-19046	208	4	(	(	PUNCT
bracis-19046	208	5	2006	2006	NUM
bracis-19046	208	6	)	)	PUNCT
bracis-19046	208	7	google	google	PROPN
bracis-19046	208	8	scholar	scholar	NOUN
bracis-19046	208	9	  	  	SPACE
bracis-19046	208	10	burred	bur	VERB
bracis-19046	208	11	,	,	PUNCT
bracis-19046	208	12	j.j	j.j	PROPN
bracis-19046	208	13	.	.	PROPN
bracis-19046	208	14	,	,	PUNCT
bracis-19046	208	15	lerch	lerch	PROPN
bracis-19046	208	16	,	,	PUNCT
bracis-19046	208	17	a.	a.	NOUN
bracis-19046	208	18	:	:	PUNCT
bracis-19046	208	19	a	a	DET
bracis-19046	208	20	hierarchical	hierarchical	ADJ
bracis-19046	208	21	approach	approach	NOUN
bracis-19046	208	22	to	to	ADP
bracis-19046	208	23	automatic	automatic	ADJ
bracis-19046	208	24	musical	musical	ADJ
bracis-19046	208	25	genre	genre	NOUN
bracis-19046	208	26	classification	classification	NOUN
bracis-19046	208	27	.	.	PUNCT
bracis-19046	209	1	in	in	ADP
bracis-19046	209	2	:	:	PUNCT
bracis-19046	209	3	proceedings	proceeding	NOUN
bracis-19046	209	4	of	of	ADP
bracis-19046	209	5	the	the	DET
bracis-19046	209	6	6th	6th	ADJ
bracis-19046	209	7	international	international	ADJ
bracis-19046	209	8	conference	conference	NOUN
bracis-19046	209	9	on	on	ADP
bracis-19046	209	10	digital	digital	ADJ
bracis-19046	209	11	audio	audio	ADJ
bracis-19046	209	12	effects	effect	NOUN
bracis-19046	209	13	,	,	PUNCT
bracis-19046	209	14	pp	pp	ADP
bracis-19046	209	15	.	.	PUNCT
bracis-19046	210	1	8–11	8–11	NOUN
bracis-19046	210	2	.	.	PUNCT
bracis-19046	211	1	citeseer	citeseer	NOUN
bracis-19046	211	2	(	(	PUNCT
bracis-19046	211	3	2003	2003	NUM
bracis-19046	211	4	)	)	PUNCT
bracis-19046	211	5	google	google	PROPN
bracis-19046	211	6	scholar	scholar	NOUN
bracis-19046	211	7	  	  	SPACE
bracis-19046	211	8	de	de	PROPN
bracis-19046	211	9	campos	campos	PROPN
bracis-19046	211	10	merschmann	merschmann	PROPN
bracis-19046	211	11	,	,	PUNCT
bracis-19046	211	12	l.h	l.h	PROPN
bracis-19046	211	13	.	.	PROPN
bracis-19046	211	14	,	,	PUNCT
bracis-19046	211	15	freitas	freitas	PROPN
bracis-19046	211	16	,	,	PUNCT
bracis-19046	211	17	a.a	a.a	PROPN
bracis-19046	211	18	.	.	PROPN
bracis-19046	211	19	:	:	PUNCT
bracis-19046	211	20	an	an	DET
bracis-19046	211	21	extended	extended	ADJ
bracis-19046	211	22	local	local	ADJ
bracis-19046	211	23	hierarchical	hierarchical	ADJ
bracis-19046	211	24	classifier	classifier	NOUN
bracis-19046	211	25	for	for	ADP
bracis-19046	211	26	prediction	prediction	NOUN
bracis-19046	211	27	of	of	ADP
bracis-19046	211	28	protein	protein	NOUN
bracis-19046	211	29	and	and	CCONJ
bracis-19046	211	30	gene	gene	NOUN
bracis-19046	211	31	functions	function	NOUN
bracis-19046	211	32	.	.	PUNCT
bracis-19046	212	1	in	in	ADP
bracis-19046	212	2	:	:	PUNCT
bracis-19046	212	3	bellatreche	bellatreche	PROPN
bracis-19046	212	4	,	,	PUNCT
bracis-19046	212	5	l.	l.	PROPN
bracis-19046	212	6	,	,	PUNCT
bracis-19046	212	7	mohania	mohania	PROPN
bracis-19046	212	8	,	,	PUNCT
bracis-19046	212	9	m.k	m.k	PROPN
bracis-19046	212	10	.	.	PUNCT
bracis-19046	212	11	(	(	PUNCT
bracis-19046	212	12	eds	ed	NOUN
bracis-19046	212	13	.	.	PUNCT
bracis-19046	212	14	)	)	PUNCT
bracis-19046	213	1	dawak	dawak	NOUN
bracis-19046	213	2	2013	2013	NUM
bracis-19046	213	3	.	.	PUNCT
bracis-19046	214	1	lncs	lncs	PROPN
bracis-19046	214	2	,	,	PUNCT
bracis-19046	214	3	vol	vol	NOUN
bracis-19046	214	4	.	.	PROPN
bracis-19046	214	5	8057	8057	NUM
bracis-19046	214	6	,	,	PUNCT
bracis-19046	214	7	pp	pp	ADV
bracis-19046	214	8	.	.	PUNCT
bracis-19046	215	1	159–171	159–171	NUM
bracis-19046	215	2	.	.	PUNCT
bracis-19046	215	3	springer	springer	NOUN
bracis-19046	215	4	,	,	PUNCT
bracis-19046	215	5	heidelberg	heidelberg	PROPN
bracis-19046	215	6	(	(	PUNCT
bracis-19046	215	7	2013	2013	NUM
bracis-19046	215	8	)	)	PUNCT
bracis-19046	215	9	.	.	PUNCT
bracis-19046	216	1	https://doi.org/10.1007/978-3-642-40131-2_14	https://doi.org/10.1007/978-3-642-40131-2_14	X
bracis-19046	216	2	chapter	chapter	NOUN
bracis-19046	216	3	  	  	SPACE
bracis-19046	216	4	google	google	PROPN
bracis-19046	216	5	scholar	scholar	NOUN
bracis-19046	216	6	  	  	SPACE
bracis-19046	216	7	cesa	cesa	PROPN
bracis-19046	216	8	-	-	PUNCT
bracis-19046	216	9	bianchi	bianchi	PROPN
bracis-19046	216	10	,	,	PUNCT
bracis-19046	216	11	n.	n.	NOUN
bracis-19046	216	12	,	,	PUNCT
bracis-19046	216	13	gentile	gentile	NOUN
bracis-19046	216	14	,	,	PUNCT
bracis-19046	216	15	c.	c.	NOUN
bracis-19046	216	16	,	,	PUNCT
bracis-19046	216	17	zaniboni	zaniboni	NOUN
bracis-19046	216	18	,	,	PUNCT
bracis-19046	216	19	l.	l.	PROPN
bracis-19046	216	20	:	:	PUNCT
bracis-19046	216	21	incremental	incremental	ADJ
bracis-19046	216	22	algorithms	algorithm	NOUN
bracis-19046	216	23	for	for	ADP
bracis-19046	216	24	hierarchical	hierarchical	ADJ
bracis-19046	216	25	classification	classification	NOUN
bracis-19046	216	26	.	.	PUNCT
bracis-19046	217	1	j.	j.	PROPN
bracis-19046	217	2	mach	mach	PROPN
bracis-19046	217	3	.	.	PUNCT
bracis-19046	218	1	learn	learn	VERB
bracis-19046	218	2	.	.	PUNCT
bracis-19046	219	1	res	re	NOUN
bracis-19046	219	2	.	.	PROPN
bracis-19046	220	1	7	7	NUM
bracis-19046	220	2	,	,	PUNCT
bracis-19046	220	3	31–54	31–54	NUM
bracis-19046	220	4	(	(	PUNCT
bracis-19046	220	5	2006	2006	NUM
bracis-19046	220	6	)	)	PUNCT
bracis-19046	220	7	mathscinet	mathscinet	NOUN
bracis-19046	220	8	  	  	SPACE
bracis-19046	220	9	math	math	NOUN
bracis-19046	220	10	  	  	SPACE
bracis-19046	220	11	google	google	PROPN
bracis-19046	220	12	scholar	scholar	NOUN
bracis-19046	220	13	  	  	SPACE
bracis-19046	220	14	chan	chan	PROPN
bracis-19046	220	15	,	,	PUNCT
bracis-19046	220	16	t.f	t.f	PROPN
bracis-19046	220	17	.	.	PROPN
bracis-19046	220	18	,	,	PUNCT
bracis-19046	220	19	golub	golub	PROPN
bracis-19046	220	20	,	,	PUNCT
bracis-19046	220	21	g.h	g.h	PROPN
bracis-19046	220	22	.	.	PROPN
bracis-19046	220	23	,	,	PUNCT
bracis-19046	220	24	leveque	leveque	ADJ
bracis-19046	220	25	,	,	PUNCT
bracis-19046	220	26	r.j	r.j	PROPN
bracis-19046	220	27	.	.	PROPN
bracis-19046	220	28	:	:	PUNCT
bracis-19046	221	1	algorithms	algorithm	NOUN
bracis-19046	221	2	for	for	ADP
bracis-19046	221	3	computing	compute	VERB
bracis-19046	221	4	the	the	DET
bracis-19046	221	5	sample	sample	NOUN
bracis-19046	221	6	variance	variance	NOUN
bracis-19046	221	7	:	:	PUNCT
bracis-19046	221	8	analysis	analysis	NOUN
bracis-19046	221	9	and	and	CCONJ
bracis-19046	221	10	recommendations	recommendation	NOUN
bracis-19046	221	11	.	.	PUNCT
bracis-19046	222	1	am	be	AUX
bracis-19046	222	2	.	.	PUNCT
bracis-19046	223	1	stat	stat	PROPN
bracis-19046	223	2	.	.	PUNCT
bracis-19046	224	1	37(3	37(3	NUM
bracis-19046	224	2	)	)	PUNCT
bracis-19046	224	3	,	,	PUNCT
bracis-19046	224	4	242–247	242–247	NUM
bracis-19046	224	5	(	(	PUNCT
bracis-19046	224	6	1983	1983	NUM
bracis-19046	224	7	)	)	PUNCT
bracis-19046	224	8	mathscinet	mathscinet	NOUN
bracis-19046	224	9	  	  	SPACE
bracis-19046	224	10	math	math	NOUN
bracis-19046	224	11	  	  	SPACE
bracis-19046	224	12	google	google	PROPN
bracis-19046	224	13	scholar	scholar	NOUN
bracis-19046	224	14	  	  	SPACE
bracis-19046	224	15	demšar	demšar	NOUN
bracis-19046	224	16	,	,	PUNCT
bracis-19046	224	17	j.	j.	PROPN
bracis-19046	224	18	:	:	PUNCT
bracis-19046	224	19	statistical	statistical	ADJ
bracis-19046	224	20	comparisons	comparison	NOUN
bracis-19046	224	21	of	of	ADP
bracis-19046	224	22	classifiers	classifier	NOUN
bracis-19046	224	23	over	over	ADP
bracis-19046	224	24	multiple	multiple	ADJ
bracis-19046	224	25	data	datum	NOUN
bracis-19046	224	26	sets	set	NOUN
bracis-19046	224	27	.	.	PUNCT
bracis-19046	225	1	j.	j.	PROPN
bracis-19046	225	2	mach	mach	PROPN
bracis-19046	225	3	.	.	PUNCT
bracis-19046	226	1	learn	learn	VERB
bracis-19046	226	2	.	.	PUNCT
bracis-19046	227	1	res	re	NOUN
bracis-19046	227	2	.	.	PROPN
bracis-19046	228	1	7	7	NUM
bracis-19046	228	2	,	,	PUNCT
bracis-19046	228	3	1–30	1–30	PROPN
bracis-19046	228	4	(	(	PUNCT
bracis-19046	228	5	2006	2006	NUM
bracis-19046	228	6	)	)	PUNCT
bracis-19046	228	7	google	google	PROPN
bracis-19046	228	8	scholar	scholar	NOUN
bracis-19046	228	9	  	  	SPACE
bracis-19046	228	10	frías	fría	NOUN
bracis-19046	228	11	-	-	PUNCT
bracis-19046	228	12	blanco	blanco	PROPN
bracis-19046	228	13	,	,	PUNCT
bracis-19046	228	14	i.	i.	PROPN
bracis-19046	228	15	,	,	PUNCT
bracis-19046	228	16	del	del	PROPN
bracis-19046	228	17	campo	campo	PROPN
bracis-19046	228	18	-	-	PUNCT
bracis-19046	228	19	ávila	ávila	PROPN
bracis-19046	228	20	,	,	PUNCT
bracis-19046	228	21	j.	j.	PROPN
bracis-19046	228	22	,	,	PUNCT
bracis-19046	228	23	ramos	ramos	PROPN
bracis-19046	228	24	-	-	PUNCT
bracis-19046	228	25	jimenez	jimenez	PROPN
bracis-19046	228	26	,	,	PUNCT
bracis-19046	228	27	g.	g.	PROPN
bracis-19046	228	28	,	,	PUNCT
bracis-19046	228	29	morales	morales	PROPN
bracis-19046	228	30	-	-	PUNCT
bracis-19046	228	31	bueno	bueno	PROPN
bracis-19046	228	32	,	,	PUNCT
bracis-19046	228	33	r.	r.	PROPN
bracis-19046	228	34	,	,	PUNCT
bracis-19046	228	35	ortiz	ortiz	PROPN
bracis-19046	228	36	-	-	PUNCT
bracis-19046	228	37	díaz	díaz	NOUN
bracis-19046	228	38	,	,	PUNCT
bracis-19046	228	39	a.	a.	NOUN
bracis-19046	228	40	,	,	PUNCT
bracis-19046	228	41	caballero	caballero	PROPN
bracis-19046	228	42	-	-	PUNCT
bracis-19046	228	43	mota	mota	NOUN
bracis-19046	228	44	,	,	PUNCT
bracis-19046	228	45	y.	y.	NOUN
bracis-19046	228	46	:	:	PUNCT
bracis-19046	228	47	online	online	ADJ
bracis-19046	228	48	and	and	CCONJ
bracis-19046	228	49	non	non	ADJ
bracis-19046	228	50	-	-	ADJ
bracis-19046	228	51	parametric	parametric	ADJ
bracis-19046	228	52	drift	drift	NOUN
bracis-19046	228	53	detection	detection	NOUN
bracis-19046	228	54	methods	method	NOUN
bracis-19046	228	55	based	base	VERB
bracis-19046	228	56	on	on	ADP
bracis-19046	228	57	hoeffding	hoeffding	NOUN
bracis-19046	228	58	’s	’s	PART
bracis-19046	228	59	bounds	bound	NOUN
bracis-19046	228	60	.	.	PUNCT
bracis-19046	229	1	ieee	ieee	PROPN
bracis-19046	229	2	trans	trans	PROPN
bracis-19046	229	3	.	.	PROPN
bracis-19046	230	1	knowl	knowl	PROPN
bracis-19046	230	2	.	.	PUNCT
bracis-19046	231	1	data	data	PROPN
bracis-19046	231	2	eng	eng	PROPN
bracis-19046	231	3	.	.	PUNCT
bracis-19046	232	1	27(3	27(3	NUM
bracis-19046	232	2	)	)	PUNCT
bracis-19046	232	3	,	,	PUNCT
bracis-19046	232	4	810–823	810–823	NUM
bracis-19046	232	5	(	(	PUNCT
bracis-19046	232	6	2014	2014	NUM
bracis-19046	232	7	)	)	PUNCT
bracis-19046	232	8	article	article	NOUN
bracis-19046	232	9	  	  	SPACE
bracis-19046	232	10	google	google	PROPN
bracis-19046	232	11	scholar	scholar	NOUN
bracis-19046	232	12	  	  	SPACE
bracis-19046	232	13	friedman	friedman	PROPN
bracis-19046	232	14	,	,	PUNCT
bracis-19046	232	15	n.	n.	NOUN
bracis-19046	232	16	,	,	PUNCT
bracis-19046	232	17	geiger	geiger	PROPN
bracis-19046	232	18	,	,	PUNCT
bracis-19046	232	19	d.	d.	PROPN
bracis-19046	232	20	,	,	PUNCT
bracis-19046	232	21	goldszmidt	goldszmidt	VERB
bracis-19046	232	22	,	,	PUNCT
bracis-19046	232	23	m.	m.	NOUN
bracis-19046	232	24	:	:	PUNCT
bracis-19046	232	25	bayesian	bayesian	NOUN
bracis-19046	232	26	network	network	NOUN
bracis-19046	232	27	classifiers	classifier	NOUN
bracis-19046	232	28	.	.	PUNCT
bracis-19046	233	1	mach	mach	PROPN
bracis-19046	233	2	.	.	PUNCT
bracis-19046	234	1	learn	learn	VERB
bracis-19046	234	2	.	.	PUNCT
bracis-19046	235	1	29(2	29(2	X
bracis-19046	235	2	)	)	PUNCT
bracis-19046	235	3	,	,	PUNCT
bracis-19046	235	4	131–163	131–163	NUM
bracis-19046	235	5	(	(	PUNCT
bracis-19046	235	6	1997	1997	NUM
bracis-19046	235	7	)	)	PUNCT
bracis-19046	235	8	article	article	NOUN
bracis-19046	235	9	  	  	SPACE
bracis-19046	235	10	google	google	PROPN
bracis-19046	235	11	scholar	scholar	NOUN
bracis-19046	235	12	  	  	SPACE
bracis-19046	235	13	gama	gama	NOUN
bracis-19046	235	14	,	,	PUNCT
bracis-19046	235	15	j.	j.	PROPN
bracis-19046	235	16	:	:	PUNCT
bracis-19046	235	17	knowledge	knowledge	NOUN
bracis-19046	235	18	discovery	discovery	PROPN
bracis-19046	235	19	from	from	ADP
bracis-19046	235	20	data	datum	NOUN
bracis-19046	235	21	streams	stream	NOUN
bracis-19046	235	22	.	.	PUNCT
bracis-19046	236	1	chapman	chapman	NOUN
bracis-19046	236	2	and	and	CCONJ
bracis-19046	236	3	hall	hall	PROPN
bracis-19046	236	4	/	/	SYM
bracis-19046	236	5	crc	crc	NOUN
bracis-19046	236	6	(	(	PUNCT
bracis-19046	236	7	2010	2010	NUM
bracis-19046	236	8	)	)	PUNCT
bracis-19046	236	9	google	google	PROPN
bracis-19046	236	10	scholar	scholar	NOUN
bracis-19046	236	11	  	  	SPACE
bracis-19046	236	12	gama	gama	NOUN
bracis-19046	236	13	,	,	PUNCT
bracis-19046	236	14	j.	j.	PROPN
bracis-19046	236	15	,	,	PUNCT
bracis-19046	236	16	sebastião	sebastião	PROPN
bracis-19046	236	17	,	,	PUNCT
bracis-19046	236	18	r.	r.	PROPN
bracis-19046	236	19	,	,	PUNCT
bracis-19046	236	20	rodrigues	rodrigues	PROPN
bracis-19046	236	21	,	,	PUNCT
bracis-19046	236	22	p.p	p.p	PROPN
bracis-19046	236	23	.	.	PUNCT
bracis-19046	236	24	:	:	PUNCT
bracis-19046	236	25	on	on	ADP
bracis-19046	236	26	evaluating	evaluate	VERB
bracis-19046	236	27	stream	stream	NOUN
bracis-19046	236	28	learning	learn	VERB
bracis-19046	236	29	algorithms	algorithm	NOUN
bracis-19046	236	30	.	.	PUNCT
bracis-19046	237	1	mach	mach	NOUN
bracis-19046	237	2	.	.	PUNCT
bracis-19046	238	1	learn	learn	VERB
bracis-19046	238	2	.	.	PUNCT
bracis-19046	239	1	90(3	90(3	NOUN
bracis-19046	239	2	)	)	PUNCT
bracis-19046	239	3	,	,	PUNCT
bracis-19046	239	4	317–346	317–346	NUM
bracis-19046	239	5	(	(	PUNCT
bracis-19046	239	6	2013	2013	NUM
bracis-19046	239	7	)	)	PUNCT
bracis-19046	239	8	article	article	NOUN
bracis-19046	239	9	  	  	SPACE
bracis-19046	239	10	mathscinet	mathscinet	NOUN
bracis-19046	239	11	  	  	SPACE
bracis-19046	239	12	google	google	PROPN
bracis-19046	239	13	scholar	scholar	NOUN
bracis-19046	239	14	  	  	SPACE
bracis-19046	239	15	gama	gama	NOUN
bracis-19046	239	16	,	,	PUNCT
bracis-19046	239	17	j.	j.	PROPN
bracis-19046	239	18	,	,	PUNCT
bracis-19046	239	19	žliobaitė	žliobaitė	PROPN
bracis-19046	239	20	,	,	PUNCT
bracis-19046	239	21	i.	i.	PROPN
bracis-19046	239	22	,	,	PUNCT
bracis-19046	239	23	bifet	bifet	PROPN
bracis-19046	239	24	,	,	PUNCT
bracis-19046	239	25	a.	a.	NOUN
bracis-19046	239	26	,	,	PUNCT
bracis-19046	239	27	pechenizkiy	pechenizkiy	NOUN
bracis-19046	239	28	,	,	PUNCT
bracis-19046	239	29	m.	m.	NOUN
bracis-19046	239	30	,	,	PUNCT
bracis-19046	239	31	bouchachia	bouchachia	NOUN
bracis-19046	239	32	,	,	PUNCT
bracis-19046	239	33	a.	a.	NOUN
bracis-19046	239	34	:	:	PUNCT
bracis-19046	239	35	a	a	DET
bracis-19046	239	36	survey	survey	NOUN
bracis-19046	239	37	on	on	ADP
bracis-19046	239	38	concept	concept	NOUN
bracis-19046	239	39	drift	drift	NOUN
bracis-19046	239	40	adaptation	adaptation	NOUN
bracis-19046	239	41	.	.	PUNCT
bracis-19046	240	1	acm	acm	PROPN
bracis-19046	240	2	comput	comput	NOUN
bracis-19046	240	3	.	.	PUNCT
bracis-19046	241	1	surv	surv	NOUN
bracis-19046	241	2	.	.	PUNCT
bracis-19046	242	1	(	(	PUNCT
bracis-19046	242	2	csur	csur	NOUN
bracis-19046	242	3	)	)	PUNCT
bracis-19046	242	4	46(4	46(4	NOUN
bracis-19046	242	5	)	)	PUNCT
bracis-19046	242	6	,	,	PUNCT
bracis-19046	242	7	44	44	NUM
bracis-19046	242	8	(	(	PUNCT
bracis-19046	242	9	2014	2014	NUM
bracis-19046	242	10	)	)	PUNCT
bracis-19046	242	11	article	article	NOUN
bracis-19046	242	12	  	  	SPACE
bracis-19046	242	13	google	google	PROPN
bracis-19046	242	14	scholar	scholar	NOUN
bracis-19046	242	15	  	  	SPACE
bracis-19046	242	16	han	han	PROPN
bracis-19046	242	17	,	,	PUNCT
bracis-19046	242	18	j.	j.	PROPN
bracis-19046	242	19	,	,	PUNCT
bracis-19046	242	20	pei	pei	PROPN
bracis-19046	242	21	,	,	PUNCT
bracis-19046	242	22	j.	j.	PROPN
bracis-19046	242	23	,	,	PUNCT
bracis-19046	242	24	kamber	kamber	PROPN
bracis-19046	242	25	,	,	PUNCT
bracis-19046	242	26	m.	m.	NOUN
bracis-19046	242	27	:	:	PUNCT
bracis-19046	242	28	data	data	PROPN
bracis-19046	242	29	mining	mining	NOUN
bracis-19046	242	30	:	:	PUNCT
bracis-19046	242	31	concepts	concept	NOUN
bracis-19046	242	32	and	and	CCONJ
bracis-19046	242	33	techniques	technique	NOUN
bracis-19046	242	34	.	.	PUNCT
bracis-19046	243	1	elsevier	elsevier	NOUN
bracis-19046	243	2	,	,	PUNCT
bracis-19046	243	3	amsterdam	amsterdam	PROPN
bracis-19046	243	4	(	(	PUNCT
bracis-19046	243	5	2011	2011	NUM
bracis-19046	243	6	)	)	PUNCT
bracis-19046	243	7	google	google	PROPN
bracis-19046	243	8	scholar	scholar	NOUN
bracis-19046	243	9	  	  	SPACE
bracis-19046	243	10	hesabi	hesabi	NOUN
bracis-19046	243	11	,	,	PUNCT
bracis-19046	243	12	z.r	z.r	PROPN
bracis-19046	243	13	.	.	PROPN
bracis-19046	243	14	,	,	PUNCT
bracis-19046	243	15	tari	tari	PROPN
bracis-19046	243	16	,	,	PUNCT
bracis-19046	243	17	z.	z.	PROPN
bracis-19046	243	18	,	,	PUNCT
bracis-19046	243	19	goscinski	goscinski	PROPN
bracis-19046	243	20	,	,	PUNCT
bracis-19046	243	21	a.	a.	PROPN
bracis-19046	243	22	,	,	PUNCT
bracis-19046	243	23	fahad	fahad	PROPN
bracis-19046	243	24	,	,	PUNCT
bracis-19046	243	25	a.	a.	PROPN
bracis-19046	243	26	,	,	PUNCT
bracis-19046	243	27	khalil	khalil	PROPN
bracis-19046	243	28	,	,	PUNCT
bracis-19046	243	29	i.	i.	PROPN
bracis-19046	243	30	,	,	PUNCT
bracis-19046	243	31	queiroz	queiroz	ADV
bracis-19046	243	32	,	,	PUNCT
bracis-19046	243	33	c.	c.	NOUN
bracis-19046	243	34	:	:	PUNCT
bracis-19046	243	35	data	datum	NOUN
bracis-19046	243	36	summarization	summarization	NOUN
bracis-19046	243	37	techniques	technique	NOUN
bracis-19046	243	38	for	for	ADP
bracis-19046	243	39	big	big	ADJ
bracis-19046	243	40	data	datum	NOUN
bracis-19046	243	41	—	—	PUNCT
bracis-19046	243	42	a	a	DET
bracis-19046	243	43	survey	survey	NOUN
bracis-19046	243	44	.	.	PUNCT
bracis-19046	244	1	in	in	ADP
bracis-19046	244	2	:	:	PUNCT
bracis-19046	244	3	khan	khan	PROPN
bracis-19046	244	4	,	,	PUNCT
bracis-19046	244	5	s.u	s.u	PROPN
bracis-19046	244	6	.	.	PROPN
bracis-19046	244	7	,	,	PUNCT
bracis-19046	244	8	zomaya	zomaya	PROPN
bracis-19046	244	9	,	,	PUNCT
bracis-19046	244	10	a.y	a.y	PROPN
bracis-19046	244	11	.	.	PROPN
bracis-19046	244	12	(	(	PUNCT
bracis-19046	244	13	eds	ed	NOUN
bracis-19046	244	14	.	.	PUNCT
bracis-19046	244	15	)	)	PUNCT
bracis-19046	244	16	handbook	handbook	NOUN
bracis-19046	244	17	on	on	ADP
bracis-19046	244	18	data	datum	NOUN
bracis-19046	244	19	centers	center	NOUN
bracis-19046	244	20	,	,	PUNCT
bracis-19046	244	21	pp	pp	ADV
bracis-19046	244	22	.	.	PUNCT
bracis-19046	245	1	1109–1152	1109–1152	NUM
bracis-19046	245	2	.	.	PUNCT
bracis-19046	245	3	springer	springer	NOUN
bracis-19046	245	4	,	,	PUNCT
bracis-19046	245	5	new	new	PROPN
bracis-19046	245	6	york	york	PROPN
bracis-19046	245	7	(	(	PUNCT
bracis-19046	245	8	2015	2015	NUM
bracis-19046	245	9	)	)	PUNCT
bracis-19046	245	10	.	.	PUNCT
bracis-19046	246	1	https://doi.org/10.1007/978-1-4939-2092-1_38	https://doi.org/10.1007/978-1-4939-2092-1_38	PROPN
bracis-19046	246	2	chapter	chapter	PROPN
bracis-19046	246	3	  	  	SPACE
bracis-19046	246	4	google	google	PROPN
bracis-19046	246	5	scholar	scholar	NOUN
bracis-19046	246	6	  	  	SPACE
bracis-19046	246	7	kiritchenko	kiritchenko	PROPN
bracis-19046	246	8	,	,	PUNCT
bracis-19046	246	9	s.	s.	PROPN
bracis-19046	246	10	,	,	PUNCT
bracis-19046	246	11	famili	famili	NOUN
bracis-19046	246	12	,	,	PUNCT
bracis-19046	246	13	f.	f.	PROPN
bracis-19046	246	14	:	:	PUNCT
bracis-19046	246	15	functional	functional	ADJ
bracis-19046	246	16	annotation	annotation	NOUN
bracis-19046	246	17	of	of	ADP
bracis-19046	246	18	genes	gene	NOUN
bracis-19046	246	19	using	use	VERB
bracis-19046	246	20	hierarchical	hierarchical	ADJ
bracis-19046	246	21	text	text	NOUN
bracis-19046	246	22	categorization	categorization	NOUN
bracis-19046	246	23	.	.	PUNCT
bracis-19046	247	1	in	in	ADP
bracis-19046	247	2	:	:	PUNCT
bracis-19046	247	3	proceedings	proceeding	NOUN
bracis-19046	247	4	of	of	ADP
bracis-19046	247	5	biolink	biolink	VERB
bracis-19046	247	6	sig	sig	NOUN
bracis-19046	247	7	,	,	PUNCT
bracis-19046	247	8	ismb	ismb	PROPN
bracis-19046	247	9	,	,	PUNCT
bracis-19046	247	10	january	january	PROPN
bracis-19046	247	11	2005	2005	NUM
bracis-19046	247	12	google	google	PROPN
bracis-19046	247	13	scholar	scholar	NOUN
bracis-19046	247	14	  	  	SPACE
bracis-19046	247	15	klawonn	klawonn	PROPN
bracis-19046	247	16	,	,	PUNCT
bracis-19046	247	17	f.	f.	PROPN
bracis-19046	247	18	,	,	PUNCT
bracis-19046	247	19	angelov	angelov	NOUN
bracis-19046	247	20	,	,	PUNCT
bracis-19046	247	21	p.	p.	NOUN
bracis-19046	247	22	:	:	PUNCT
bracis-19046	247	23	evolving	evolve	VERB
bracis-19046	247	24	extended	extend	VERB
bracis-19046	247	25	naive	naive	ADJ
bracis-19046	247	26	bayes	bayes	NOUN
bracis-19046	247	27	classifiers	classifier	NOUN
bracis-19046	247	28	.	.	PUNCT
bracis-19046	248	1	in	in	ADP
bracis-19046	248	2	:	:	PUNCT
bracis-19046	248	3	sixth	sixth	ADJ
bracis-19046	248	4	ieee	ieee	NOUN
bracis-19046	248	5	international	international	ADJ
bracis-19046	248	6	conference	conference	NOUN
bracis-19046	248	7	on	on	ADP
bracis-19046	248	8	data	datum	NOUN
bracis-19046	248	9	mining	mining	NOUN
bracis-19046	248	10	-	-	PUNCT
bracis-19046	248	11	workshops	workshop	NOUN
bracis-19046	248	12	(	(	PUNCT
bracis-19046	248	13	icdmw	icdmw	NOUN
bracis-19046	248	14	2006	2006	NUM
bracis-19046	248	15	)	)	PUNCT
bracis-19046	248	16	,	,	PUNCT
bracis-19046	248	17	pp	pp	ADP
bracis-19046	248	18	.	.	PUNCT
bracis-19046	249	1	643–647	643–647	X
bracis-19046	249	2	.	.	PUNCT
bracis-19046	250	1	ieee	ieee	NOUN
bracis-19046	250	2	(	(	PUNCT
bracis-19046	250	3	2006	2006	NUM
bracis-19046	250	4	)	)	PUNCT
bracis-19046	250	5	google	google	PROPN
bracis-19046	250	6	scholar	scholar	NOUN
bracis-19046	250	7	  	  	SPACE
bracis-19046	250	8	kotsiantis	kotsiantis	PROPN
bracis-19046	250	9	,	,	PUNCT
bracis-19046	250	10	s.b	s.b	PROPN
bracis-19046	250	11	.	.	PROPN
bracis-19046	250	12	,	,	PUNCT
bracis-19046	250	13	zaharakis	zaharakis	PROPN
bracis-19046	250	14	,	,	PUNCT
bracis-19046	250	15	i.	i.	PROPN
bracis-19046	250	16	,	,	PUNCT
bracis-19046	250	17	pintelas	pintela	NOUN
bracis-19046	250	18	,	,	PUNCT
bracis-19046	250	19	p.	p.	NOUN
bracis-19046	250	20	:	:	PUNCT
bracis-19046	250	21	supervised	supervised	ADJ
bracis-19046	250	22	machine	machine	NOUN
bracis-19046	250	23	learning	learning	NOUN
bracis-19046	250	24	:	:	PUNCT
bracis-19046	250	25	a	a	DET
bracis-19046	250	26	review	review	NOUN
bracis-19046	250	27	of	of	ADP
bracis-19046	250	28	classification	classification	NOUN
bracis-19046	250	29	techniques	technique	NOUN
bracis-19046	250	30	.	.	PUNCT
bracis-19046	251	1	emerg	emerg	PROPN
bracis-19046	251	2	.	.	PUNCT
bracis-19046	252	1	artif	artif	PROPN
bracis-19046	252	2	.	.	PUNCT
bracis-19046	253	1	intell	intell	PROPN
bracis-19046	253	2	.	.	PUNCT
bracis-19046	254	1	appl	appl	PROPN
bracis-19046	254	2	.	.	PUNCT
bracis-19046	255	1	comput	comput	PROPN
bracis-19046	255	2	.	.	PUNCT
bracis-19046	256	1	eng	eng	PROPN
bracis-19046	256	2	.	.	PROPN
bracis-19046	257	1	160	160	NUM
bracis-19046	257	2	,	,	PUNCT
bracis-19046	257	3	3–24	3–24	PROPN
bracis-19046	257	4	(	(	PUNCT
bracis-19046	257	5	2007	2007	NUM
bracis-19046	257	6	)	)	PUNCT
bracis-19046	257	7	google	google	NOUN
bracis-19046	257	8	scholar	scholar	NOUN
bracis-19046	257	9	  	  	SPACE
bracis-19046	257	10	nguyen	nguyen	NOUN
bracis-19046	257	11	,	,	PUNCT
bracis-19046	257	12	h.l	h.l	PROPN
bracis-19046	257	13	.	.	PROPN
bracis-19046	257	14	,	,	PUNCT
bracis-19046	257	15	woon	woon	PROPN
bracis-19046	257	16	,	,	PUNCT
bracis-19046	257	17	y.k	y.k	PROPN
bracis-19046	257	18	.	.	PROPN
bracis-19046	257	19	,	,	PUNCT
bracis-19046	257	20	ng	ng	PROPN
bracis-19046	257	21	,	,	PUNCT
bracis-19046	257	22	w.k	w.k	PROPN
bracis-19046	257	23	.	.	PROPN
bracis-19046	257	24	:	:	PUNCT
bracis-19046	258	1	a	a	DET
bracis-19046	258	2	survey	survey	NOUN
bracis-19046	258	3	on	on	ADP
bracis-19046	258	4	data	datum	NOUN
bracis-19046	258	5	stream	stream	NOUN
bracis-19046	258	6	clustering	clustering	NOUN
bracis-19046	258	7	and	and	CCONJ
bracis-19046	258	8	classification	classification	NOUN
bracis-19046	258	9	.	.	PUNCT
bracis-19046	259	1	knowl	knowl	PROPN
bracis-19046	259	2	.	.	PUNCT
bracis-19046	260	1	inf	inf	PROPN
bracis-19046	260	2	.	.	PUNCT
bracis-19046	260	3	syst	syst	PROPN
bracis-19046	260	4	.	.	PUNCT
bracis-19046	261	1	45(3	45(3	NUM
bracis-19046	261	2	)	)	PUNCT
bracis-19046	261	3	,	,	PUNCT
bracis-19046	262	1	535–569	535–569	NUM
bracis-19046	262	2	(	(	PUNCT
bracis-19046	262	3	2015	2015	NUM
bracis-19046	262	4	)	)	PUNCT
bracis-19046	262	5	article	article	NOUN
bracis-19046	262	6	  	  	SPACE
bracis-19046	262	7	google	google	PROPN
bracis-19046	262	8	scholar	scholar	NOUN
bracis-19046	262	9	  	  	SPACE
bracis-19046	262	10	parmezan	parmezan	NOUN
bracis-19046	262	11	,	,	PUNCT
bracis-19046	262	12	a.r.s	a.r.	NOUN
bracis-19046	262	13	.	.	PUNCT
bracis-19046	262	14	,	,	PUNCT
bracis-19046	262	15	souza	souza	PROPN
bracis-19046	262	16	,	,	PUNCT
bracis-19046	262	17	v.m.a	v.m.a	PROPN
bracis-19046	262	18	.	.	PROPN
bracis-19046	262	19	,	,	PUNCT
bracis-19046	262	20	batista	batista	PROPN
bracis-19046	262	21	,	,	PUNCT
bracis-19046	262	22	g.e.a.p.a	g.e.a.p.a	NOUN
bracis-19046	262	23	.	.	PUNCT
bracis-19046	262	24	:	:	PUNCT
bracis-19046	263	1	towards	towards	ADP
bracis-19046	263	2	hierarchical	hierarchical	ADJ
bracis-19046	263	3	classification	classification	NOUN
bracis-19046	263	4	of	of	ADP
bracis-19046	263	5	data	datum	NOUN
bracis-19046	263	6	streams	stream	NOUN
bracis-19046	263	7	.	.	PUNCT
bracis-19046	264	1	in	in	ADP
bracis-19046	264	2	:	:	PUNCT
bracis-19046	264	3	vera	vera	NOUN
bracis-19046	264	4	-	-	PUNCT
bracis-19046	264	5	rodriguez	rodriguez	PROPN
bracis-19046	264	6	,	,	PUNCT
bracis-19046	264	7	r.	r.	PROPN
bracis-19046	264	8	,	,	PUNCT
bracis-19046	264	9	fierrez	fierrez	PROPN
bracis-19046	264	10	,	,	PUNCT
bracis-19046	264	11	j.	j.	PROPN
bracis-19046	264	12	,	,	PUNCT
bracis-19046	264	13	morales	morales	PROPN
bracis-19046	264	14	,	,	PUNCT
bracis-19046	264	15	a.	a.	NOUN
bracis-19046	264	16	(	(	PUNCT
bracis-19046	264	17	eds	eds	PROPN
bracis-19046	264	18	.	.	PUNCT
bracis-19046	264	19	)	)	PUNCT
bracis-19046	264	20	ciarp	ciarp	NOUN
bracis-19046	264	21	2018	2018	NUM
bracis-19046	264	22	.	.	PUNCT
bracis-19046	265	1	lncs	lncs	PROPN
bracis-19046	265	2	,	,	PUNCT
bracis-19046	265	3	vol	vol	NOUN
bracis-19046	265	4	.	.	PUNCT
bracis-19046	265	5	11401	11401	NUM
bracis-19046	265	6	,	,	PUNCT
bracis-19046	265	7	pp	pp	ADP
bracis-19046	265	8	.	.	PUNCT
bracis-19046	266	1	314–322	314–322	NUM
bracis-19046	266	2	.	.	PUNCT
bracis-19046	266	3	springer	springer	NOUN
bracis-19046	266	4	,	,	PUNCT
bracis-19046	266	5	cham	cham	PROPN
bracis-19046	266	6	(	(	PUNCT
bracis-19046	266	7	2019	2019	NUM
bracis-19046	266	8	)	)	PUNCT
bracis-19046	266	9	.	.	PUNCT
bracis-19046	267	1	https://doi.org/10.1007/978-3-030-13469-3_37	https://doi.org/10.1007/978-3-030-13469-3_37	NOUN
bracis-19046	267	2	chapter	chapter	NOUN
bracis-19046	267	3	  	  	SPACE
bracis-19046	267	4	google	google	PROPN
bracis-19046	267	5	scholar	scholar	NOUN
bracis-19046	267	6	  	  	SPACE
bracis-19046	267	7	pereira	pereira	PROPN
bracis-19046	267	8	,	,	PUNCT
bracis-19046	267	9	r.m	r.m	PROPN
bracis-19046	267	10	.	.	PROPN
bracis-19046	267	11	,	,	PUNCT
bracis-19046	267	12	bertolini	bertolini	PROPN
bracis-19046	267	13	,	,	PUNCT
bracis-19046	267	14	d.	d.	PROPN
bracis-19046	267	15	,	,	PUNCT
bracis-19046	267	16	teixeira	teixeira	PROPN
bracis-19046	267	17	,	,	PUNCT
bracis-19046	267	18	l.o	l.o	PROPN
bracis-19046	267	19	.	.	PROPN
bracis-19046	267	20	,	,	PUNCT
bracis-19046	267	21	silla	silla	PROPN
bracis-19046	267	22	jr	jr	PROPN
bracis-19046	267	23	.	.	PROPN
bracis-19046	267	24	,	,	PUNCT
bracis-19046	267	25	c.n	c.n	PROPN
bracis-19046	267	26	.	.	PROPN
bracis-19046	267	27	,	,	PUNCT
bracis-19046	267	28	costa	costa	PROPN
bracis-19046	267	29	,	,	PUNCT
bracis-19046	267	30	y.m	y.m	PROPN
bracis-19046	267	31	.	.	PROPN
bracis-19046	267	32	:	:	PUNCT
bracis-19046	268	1	covid-19	covid-19	PROPN
bracis-19046	268	2	identification	identification	NOUN
bracis-19046	268	3	in	in	ADP
bracis-19046	268	4	chest	chest	NOUN
bracis-19046	268	5	x	x	NOUN
bracis-19046	268	6	-	-	NOUN
bracis-19046	268	7	ray	ray	NOUN
bracis-19046	268	8	images	image	NOUN
bracis-19046	268	9	on	on	ADP
bracis-19046	268	10	flat	flat	ADJ
bracis-19046	268	11	and	and	CCONJ
bracis-19046	268	12	hierarchical	hierarchical	ADJ
bracis-19046	268	13	classification	classification	NOUN
bracis-19046	268	14	scenarios	scenario	NOUN
bracis-19046	268	15	.	.	PUNCT
bracis-19046	269	1	comput	comput	NOUN
bracis-19046	269	2	.	.	PUNCT
bracis-19046	270	1	methods	method	NOUN
bracis-19046	270	2	programs	program	NOUN
bracis-19046	270	3	biomed	biome	VERB
bracis-19046	270	4	.	.	PUNCT
bracis-19046	271	1	194	194	NUM
bracis-19046	271	2	,	,	PUNCT
bracis-19046	271	3	105532	105532	NUM
bracis-19046	271	4	(	(	PUNCT
bracis-19046	271	5	2020	2020	NUM
bracis-19046	271	6	)	)	PUNCT
bracis-19046	271	7	google	google	PROPN
bracis-19046	271	8	scholar	scholar	NOUN
bracis-19046	271	9	  	  	SPACE
bracis-19046	271	10	pontes	pons	NOUN
bracis-19046	271	11	,	,	PUNCT
bracis-19046	271	12	e.a.s	e.a.s	PROPN
bracis-19046	271	13	.	.	PROPN
bracis-19046	271	14	:	:	PUNCT
bracis-19046	272	1	a	a	DET
bracis-19046	272	2	brief	brief	ADJ
bracis-19046	272	3	historical	historical	ADJ
bracis-19046	272	4	overview	overview	NOUN
bracis-19046	272	5	of	of	ADP
bracis-19046	272	6	the	the	DET
bracis-19046	272	7	gaussian	gaussian	ADJ
bracis-19046	272	8	curve	curve	NOUN
bracis-19046	272	9	:	:	PUNCT
bracis-19046	272	10	from	from	ADP
bracis-19046	272	11	abraham	abraham	PROPN
bracis-19046	272	12	de	de	X
bracis-19046	272	13	moivre	moivre	NOUN
bracis-19046	272	14	to	to	ADP
bracis-19046	272	15	johann	johann	PROPN
bracis-19046	272	16	carl	carl	PROPN
bracis-19046	272	17	friedrich	friedrich	PROPN
bracis-19046	272	18	gauss	gauss	PROPN
bracis-19046	272	19	.	.	PUNCT
bracis-19046	273	1	int	int	PROPN
bracis-19046	273	2	.	.	PUNCT
bracis-19046	274	1	j.	j.	PROPN
bracis-19046	274	2	eng	eng	PROPN
bracis-19046	274	3	.	.	PUNCT
bracis-19046	274	4	sci	sci	PROPN
bracis-19046	274	5	.	.	PROPN
bracis-19046	274	6	invent	invent	PROPN
bracis-19046	274	7	.	.	PUNCT
bracis-19046	275	1	(	(	PUNCT
bracis-19046	275	2	ijesi	ijesi	NOUN
bracis-19046	275	3	)	)	PUNCT
bracis-19046	275	4	,	,	PUNCT
bracis-19046	275	5	28–34	28–34	NUM
bracis-19046	275	6	(	(	PUNCT
bracis-19046	275	7	2018	2018	NUM
bracis-19046	275	8	)	)	PUNCT
bracis-19046	275	9	google	google	PROPN
bracis-19046	275	10	scholar	scholar	NOUN
bracis-19046	275	11	  	  	SPACE
bracis-19046	275	12	prasad	prasad	PROPN
bracis-19046	275	13	,	,	PUNCT
bracis-19046	275	14	b.r	b.r	PROPN
bracis-19046	275	15	.	.	PROPN
bracis-19046	275	16	,	,	PUNCT
bracis-19046	275	17	agarwal	agarwal	PROPN
bracis-19046	275	18	,	,	PUNCT
bracis-19046	275	19	s.	s.	PROPN
bracis-19046	275	20	:	:	PUNCT
bracis-19046	275	21	stream	stream	PROPN
bracis-19046	275	22	data	datum	NOUN
bracis-19046	275	23	mining	mining	NOUN
bracis-19046	275	24	:	:	PUNCT
bracis-19046	275	25	platforms	platform	NOUN
bracis-19046	275	26	,	,	PUNCT
bracis-19046	275	27	algorithms	algorithm	NOUN
bracis-19046	275	28	,	,	PUNCT
bracis-19046	275	29	performance	performance	NOUN
bracis-19046	275	30	evaluators	evaluator	NOUN
bracis-19046	275	31	and	and	CCONJ
bracis-19046	275	32	research	research	NOUN
bracis-19046	275	33	trends	trend	NOUN
bracis-19046	275	34	.	.	PUNCT
bracis-19046	276	1	int	int	NOUN
bracis-19046	276	2	.	.	PUNCT
bracis-19046	277	1	j.	j.	PROPN
bracis-19046	277	2	database	database	PROPN
bracis-19046	277	3	theory	theory	PROPN
bracis-19046	277	4	appl	appl	PROPN
bracis-19046	277	5	.	.	PUNCT
bracis-19046	278	1	9(9	9(9	NUM
bracis-19046	278	2	)	)	PUNCT
bracis-19046	278	3	,	,	PUNCT
bracis-19046	278	4	201–218	201–218	NUM
bracis-19046	278	5	(	(	PUNCT
bracis-19046	278	6	2016	2016	NUM
bracis-19046	278	7	)	)	PUNCT
bracis-19046	278	8	article	article	NOUN
bracis-19046	278	9	  	  	SPACE
bracis-19046	278	10	google	google	PROPN
bracis-19046	278	11	scholar	scholar	NOUN
bracis-19046	278	12	  	  	SPACE
bracis-19046	278	13	quiñonero	quiñonero	NOUN
bracis-19046	278	14	-	-	PUNCT
bracis-19046	278	15	candela	candela	NOUN
bracis-19046	278	16	,	,	PUNCT
bracis-19046	278	17	j.	j.	PROPN
bracis-19046	278	18	,	,	PUNCT
bracis-19046	278	19	sugiyama	sugiyama	NOUN
bracis-19046	278	20	,	,	PUNCT
bracis-19046	278	21	m.	m.	NOUN
bracis-19046	278	22	,	,	PUNCT
bracis-19046	278	23	schwaighofer	schwaighofer	NOUN
bracis-19046	278	24	,	,	PUNCT
bracis-19046	278	25	a.	a.	NOUN
bracis-19046	278	26	,	,	PUNCT
bracis-19046	278	27	lawrence	lawrence	PROPN
bracis-19046	278	28	,	,	PUNCT
bracis-19046	278	29	n.d	n.d	PROPN
bracis-19046	278	30	.	.	PROPN
bracis-19046	278	31	:	:	PUNCT
bracis-19046	278	32	dataset	dataset	VERB
bracis-19046	278	33	shift	shift	NOUN
bracis-19046	278	34	in	in	ADP
bracis-19046	278	35	machine	machine	NOUN
bracis-19046	278	36	learning	learning	NOUN
bracis-19046	278	37	.	.	PUNCT
bracis-19046	279	1	the	the	DET
bracis-19046	279	2	mit	mit	PROPN
bracis-19046	279	3	press	press	PROPN
bracis-19046	279	4	,	,	PUNCT
bracis-19046	279	5	cambridge	cambridge	PROPN
bracis-19046	279	6	(	(	PUNCT
bracis-19046	279	7	2009	2009	NUM
bracis-19046	279	8	)	)	PUNCT
bracis-19046	279	9	google	google	PROPN
bracis-19046	279	10	scholar	scholar	NOUN
bracis-19046	279	11	  	  	SPACE
bracis-19046	279	12	seidl	seidl	NOUN
bracis-19046	279	13	,	,	PUNCT
bracis-19046	279	14	t.	t.	NOUN
bracis-19046	279	15	,	,	PUNCT
bracis-19046	279	16	assent	assent	NOUN
bracis-19046	279	17	,	,	PUNCT
bracis-19046	279	18	i.	i.	NOUN
bracis-19046	279	19	,	,	PUNCT
bracis-19046	279	20	kranen	kranen	PROPN
bracis-19046	279	21	,	,	PUNCT
bracis-19046	279	22	p.	p.	PROPN
bracis-19046	279	23	,	,	PUNCT
bracis-19046	279	24	krieger	krieger	PROPN
bracis-19046	279	25	,	,	PUNCT
bracis-19046	279	26	r.	r.	PROPN
bracis-19046	279	27	,	,	PUNCT
bracis-19046	279	28	herrmann	herrmann	PROPN
bracis-19046	279	29	,	,	PUNCT
bracis-19046	279	30	j.	j.	PROPN
bracis-19046	279	31	:	:	PUNCT
bracis-19046	279	32	indexing	index	VERB
bracis-19046	279	33	density	density	NOUN
bracis-19046	279	34	models	model	NOUN
bracis-19046	279	35	for	for	ADP
bracis-19046	279	36	incremental	incremental	ADJ
bracis-19046	279	37	learning	learning	NOUN
bracis-19046	279	38	and	and	CCONJ
bracis-19046	279	39	anytime	anytime	ADJ
bracis-19046	279	40	classification	classification	NOUN
bracis-19046	279	41	on	on	ADP
bracis-19046	279	42	data	datum	NOUN
bracis-19046	279	43	streams	stream	NOUN
bracis-19046	279	44	.	.	PUNCT
bracis-19046	280	1	in	in	ADP
bracis-19046	280	2	:	:	PUNCT
bracis-19046	280	3	proceedings	proceeding	NOUN
bracis-19046	280	4	of	of	ADP
bracis-19046	280	5	the	the	DET
bracis-19046	280	6	12th	12th	ADJ
bracis-19046	280	7	international	international	ADJ
bracis-19046	280	8	conference	conference	NOUN
bracis-19046	280	9	on	on	ADP
bracis-19046	280	10	extending	extend	VERB
bracis-19046	280	11	database	database	NOUN
bracis-19046	280	12	technology	technology	NOUN
bracis-19046	280	13	:	:	PUNCT
bracis-19046	280	14	advances	advance	NOUN
bracis-19046	280	15	in	in	ADP
bracis-19046	280	16	database	database	NOUN
bracis-19046	280	17	technology	technology	NOUN
bracis-19046	280	18	,	,	PUNCT
bracis-19046	280	19	pp	pp	ADJ
bracis-19046	280	20	.	.	PUNCT
bracis-19046	281	1	311–322	311–322	NUM
bracis-19046	281	2	(	(	PUNCT
bracis-19046	281	3	2009	2009	NUM
bracis-19046	281	4	)	)	PUNCT
bracis-19046	281	5	google	google	PROPN
bracis-19046	281	6	scholar	scholar	NOUN
bracis-19046	281	7	  	  	SPACE
bracis-19046	281	8	shapiro	shapiro	PROPN
bracis-19046	281	9	,	,	PUNCT
bracis-19046	281	10	s.s	s.s	PROPN
bracis-19046	281	11	.	.	PROPN
bracis-19046	281	12	,	,	PUNCT
bracis-19046	281	13	wilk	wilk	PROPN
bracis-19046	281	14	,	,	PUNCT
bracis-19046	281	15	m.b	m.b	PROPN
bracis-19046	281	16	.	.	PROPN
bracis-19046	281	17	:	:	PUNCT
bracis-19046	281	18	an	an	DET
bracis-19046	281	19	analysis	analysis	NOUN
bracis-19046	281	20	of	of	ADP
bracis-19046	281	21	variance	variance	NOUN
bracis-19046	281	22	test	test	NOUN
bracis-19046	281	23	for	for	ADP
bracis-19046	281	24	normality	normality	NOUN
bracis-19046	281	25	(	(	PUNCT
bracis-19046	281	26	complete	complete	ADJ
bracis-19046	281	27	samples	sample	NOUN
bracis-19046	281	28	)	)	PUNCT
bracis-19046	281	29	.	.	PUNCT
bracis-19046	282	1	biometrika	biometrika	PROPN
bracis-19046	282	2	52(3/4	52(3/4	PROPN
bracis-19046	282	3	)	)	PUNCT
bracis-19046	282	4	,	,	PUNCT
bracis-19046	283	1	591–611	591–611	NUM
bracis-19046	283	2	(	(	PUNCT
bracis-19046	283	3	1965	1965	NUM
bracis-19046	283	4	)	)	PUNCT
bracis-19046	283	5	article	article	NOUN
bracis-19046	283	6	  	  	SPACE
bracis-19046	283	7	mathscinet	mathscinet	NOUN
bracis-19046	283	8	  	  	SPACE
bracis-19046	283	9	google	google	PROPN
bracis-19046	283	10	scholar	scholar	NOUN
bracis-19046	283	11	  	  	SPACE
bracis-19046	283	12	silla	silla	NOUN
bracis-19046	283	13	,	,	PUNCT
bracis-19046	283	14	c.n	c.n	PROPN
bracis-19046	283	15	.	.	PROPN
bracis-19046	283	16	,	,	PUNCT
bracis-19046	283	17	freitas	freitas	PROPN
bracis-19046	283	18	,	,	PUNCT
bracis-19046	283	19	a.a	a.a	PROPN
bracis-19046	283	20	.	.	PROPN
bracis-19046	283	21	:	:	PUNCT
bracis-19046	283	22	a	a	DET
bracis-19046	283	23	survey	survey	NOUN
bracis-19046	283	24	of	of	ADP
bracis-19046	283	25	hierarchical	hierarchical	ADJ
bracis-19046	283	26	classification	classification	NOUN
bracis-19046	283	27	across	across	ADP
bracis-19046	283	28	different	different	ADJ
bracis-19046	283	29	application	application	NOUN
bracis-19046	283	30	domains	domain	NOUN
bracis-19046	283	31	.	.	PUNCT
bracis-19046	284	1	data	data	PROPN
bracis-19046	284	2	min	min	PROPN
bracis-19046	284	3	.	.	PROPN
bracis-19046	284	4	knowl	knowl	PROPN
bracis-19046	284	5	.	.	PUNCT
bracis-19046	285	1	discov	discov	NOUN
bracis-19046	285	2	.	.	PUNCT
bracis-19046	286	1	22(1–2	22(1–2	X
bracis-19046	286	2	)	)	PUNCT
bracis-19046	286	3	,	,	PUNCT
bracis-19046	286	4	31–72	31–72	NUM
bracis-19046	286	5	(	(	PUNCT
bracis-19046	286	6	2011	2011	NUM
bracis-19046	286	7	)	)	PUNCT
bracis-19046	286	8	article	article	NOUN
bracis-19046	286	9	  	  	SPACE
bracis-19046	286	10	mathscinet	mathscinet	NOUN
bracis-19046	286	11	  	  	SPACE
bracis-19046	286	12	google	google	PROPN
bracis-19046	286	13	scholar	scholar	NOUN
bracis-19046	286	14	  	  	SPACE
bracis-19046	286	15	silla	silla	PROPN
bracis-19046	286	16	jr	jr	PROPN
bracis-19046	286	17	.	.	PROPN
bracis-19046	286	18	,	,	PUNCT
bracis-19046	286	19	c.n	c.n	PROPN
bracis-19046	286	20	.	.	PROPN
bracis-19046	286	21	,	,	PUNCT
bracis-19046	286	22	freitas	freitas	PROPN
bracis-19046	286	23	,	,	PUNCT
bracis-19046	286	24	a.a	a.a	PROPN
bracis-19046	286	25	.	.	PROPN
bracis-19046	286	26	:	:	PUNCT
bracis-19046	287	1	a	a	DET
bracis-19046	287	2	global	global	ADJ
bracis-19046	287	3	-	-	PUNCT
bracis-19046	287	4	model	model	NOUN
bracis-19046	287	5	naive	naive	ADJ
bracis-19046	287	6	bayes	bayes	NOUN
bracis-19046	287	7	approach	approach	NOUN
bracis-19046	287	8	to	to	ADP
bracis-19046	287	9	the	the	DET
bracis-19046	287	10	hierarchical	hierarchical	ADJ
bracis-19046	287	11	prediction	prediction	NOUN
bracis-19046	287	12	of	of	ADP
bracis-19046	287	13	protein	protein	NOUN
bracis-19046	287	14	functions	function	NOUN
bracis-19046	287	15	.	.	PUNCT
bracis-19046	288	1	in	in	ADP
bracis-19046	288	2	:	:	PUNCT
bracis-19046	288	3	2009	2009	NUM
bracis-19046	288	4	ninth	ninth	ADJ
bracis-19046	288	5	ieee	ieee	PROPN
bracis-19046	288	6	international	international	PROPN
bracis-19046	288	7	conference	conference	NOUN
bracis-19046	288	8	on	on	ADP
bracis-19046	288	9	data	datum	NOUN
bracis-19046	288	10	mining	mining	NOUN
bracis-19046	288	11	,	,	PUNCT
bracis-19046	288	12	pp	pp	ADJ
bracis-19046	288	13	.	.	PUNCT
bracis-19046	289	1	992–997	992–997	NUM
bracis-19046	289	2	.	.	PUNCT
bracis-19046	290	1	ieee	ieee	NOUN
bracis-19046	290	2	(	(	PUNCT
bracis-19046	290	3	2009	2009	NUM
bracis-19046	290	4	)	)	PUNCT
bracis-19046	290	5	google	google	PROPN
bracis-19046	290	6	scholar	scholar	NOUN
bracis-19046	290	7	  	  	SPACE
bracis-19046	290	8	souza	souza	PROPN
bracis-19046	290	9	,	,	PUNCT
bracis-19046	290	10	v.m.a	v.m.a	NOUN
bracis-19046	290	11	.	.	PROPN
bracis-19046	290	12	,	,	PUNCT
bracis-19046	290	13	reis	reis	NOUN
bracis-19046	290	14	,	,	PUNCT
bracis-19046	290	15	d.m	d.m	PROPN
bracis-19046	290	16	.	.	PROPN
bracis-19046	290	17	,	,	PUNCT
bracis-19046	290	18	maletzke	maletzke	PROPN
bracis-19046	290	19	,	,	PUNCT
bracis-19046	290	20	a.g	a.g	PROPN
bracis-19046	290	21	.	.	PROPN
bracis-19046	290	22	,	,	PUNCT
bracis-19046	290	23	batista	batista	PROPN
bracis-19046	290	24	,	,	PUNCT
bracis-19046	290	25	g.e.a.p.a	g.e.a.p.a	NOUN
bracis-19046	290	26	.	.	PUNCT
bracis-19046	290	27	:	:	PUNCT
bracis-19046	291	1	challenges	challenge	NOUN
bracis-19046	291	2	in	in	ADP
bracis-19046	291	3	benchmarking	benchmarke	VERB
bracis-19046	291	4	stream	stream	NOUN
bracis-19046	291	5	learning	learn	VERB
bracis-19046	291	6	algorithms	algorithm	NOUN
bracis-19046	291	7	with	with	ADP
bracis-19046	291	8	real	real	ADJ
bracis-19046	291	9	-	-	PUNCT
bracis-19046	291	10	world	world	NOUN
bracis-19046	291	11	data	datum	NOUN
bracis-19046	291	12	.	.	PUNCT
bracis-19046	292	1	data	data	PROPN
bracis-19046	292	2	min	min	PROPN
bracis-19046	292	3	.	.	PROPN
bracis-19046	292	4	knowl	knowl	PROPN
bracis-19046	292	5	.	.	PUNCT
bracis-19046	293	1	discov	discov	PROPN
bracis-19046	293	2	.	.	PUNCT
bracis-19046	293	3	,	,	PUNCT
bracis-19046	293	4	1–54	1–54	NUM
bracis-19046	293	5	(	(	PUNCT
bracis-19046	293	6	2020	2020	NUM
bracis-19046	293	7	)	)	PUNCT
bracis-19046	293	8	.	.	PUNCT
bracis-19046	294	1	https://doi.org/10.1007/s10618-020-00698-5	https://doi.org/10.1007/s10618-020-00698-5	NUM
bracis-19046	294	2	steinbach	steinbach	PROPN
bracis-19046	294	3	,	,	PUNCT
bracis-19046	294	4	m.	m.	NOUN
bracis-19046	294	5	,	,	PUNCT
bracis-19046	294	6	ertöz	ertöz	PROPN
bracis-19046	294	7	,	,	PUNCT
bracis-19046	294	8	l.	l.	PROPN
bracis-19046	294	9	,	,	PUNCT
bracis-19046	294	10	kumar	kumar	PROPN
bracis-19046	294	11	,	,	PUNCT
bracis-19046	294	12	v.	v.	PROPN
bracis-19046	294	13	:	:	PUNCT
bracis-19046	294	14	the	the	DET
bracis-19046	294	15	challenges	challenge	NOUN
bracis-19046	294	16	of	of	ADP
bracis-19046	294	17	clustering	cluster	VERB
bracis-19046	294	18	high	high	ADJ
bracis-19046	294	19	dimensional	dimensional	ADJ
bracis-19046	294	20	data	datum	NOUN
bracis-19046	294	21	.	.	PUNCT
bracis-19046	295	1	in	in	ADP
bracis-19046	295	2	:	:	PUNCT
bracis-19046	295	3	wille	wille	NOUN
bracis-19046	295	4	,	,	PUNCT
bracis-19046	295	5	l.t	l.t	PROPN
bracis-19046	295	6	.	.	PROPN
bracis-19046	295	7	(	(	PUNCT
bracis-19046	295	8	ed	ed	NOUN
bracis-19046	295	9	.	.	PUNCT
bracis-19046	295	10	)	)	PUNCT
bracis-19046	296	1	new	new	ADJ
bracis-19046	296	2	directions	direction	NOUN
bracis-19046	296	3	in	in	ADP
bracis-19046	296	4	statistical	statistical	ADJ
bracis-19046	296	5	physics	physic	NOUN
bracis-19046	296	6	,	,	PUNCT
bracis-19046	296	7	pp	pp	ADP
bracis-19046	296	8	.	.	PUNCT
bracis-19046	297	1	273–309	273–309	NUM
bracis-19046	297	2	.	.	PUNCT
bracis-19046	297	3	springer	springer	NOUN
bracis-19046	297	4	,	,	PUNCT
bracis-19046	297	5	heidelberg	heidelberg	PROPN
bracis-19046	297	6	(	(	PUNCT
bracis-19046	297	7	2004	2004	NUM
bracis-19046	297	8	)	)	PUNCT
bracis-19046	297	9	.	.	PUNCT
bracis-19046	298	1	https://doi.org/10.1007/978-3-662-08968-2_16	https://doi.org/10.1007/978-3-662-08968-2_16	PROPN
bracis-19046	298	2	tsymbal	tsymbal	PROPN
bracis-19046	298	3	,	,	PUNCT
bracis-19046	298	4	a.	a.	NOUN
bracis-19046	298	5	:	:	PUNCT
bracis-19046	298	6	the	the	DET
bracis-19046	298	7	problem	problem	NOUN
bracis-19046	298	8	of	of	ADP
bracis-19046	298	9	concept	concept	NOUN
bracis-19046	298	10	drift	drift	NOUN
bracis-19046	298	11	:	:	PUNCT
bracis-19046	298	12	definitions	definition	NOUN
bracis-19046	298	13	and	and	CCONJ
bracis-19046	298	14	related	related	ADJ
bracis-19046	298	15	work	work	NOUN
bracis-19046	298	16	.	.	PUNCT
bracis-19046	299	1	comput	comput	NOUN
bracis-19046	299	2	.	.	PUNCT
bracis-19046	300	1	sci	sci	PROPN
bracis-19046	300	2	.	.	PUNCT
bracis-19046	301	1	dep	dep	PROPN
bracis-19046	301	2	.	.	PROPN
bracis-19046	302	1	trinity	trinity	PROPN
bracis-19046	302	2	coll	coll	PROPN
bracis-19046	302	3	.	.	PUNCT
bracis-19046	302	4	dublin	dublin	PROPN
bracis-19046	302	5	106(2	106(2	NUM
bracis-19046	302	6	)	)	PUNCT
bracis-19046	302	7	,	,	PUNCT
bracis-19046	302	8	58	58	NUM
bracis-19046	302	9	(	(	PUNCT
bracis-19046	302	10	2004	2004	NUM
bracis-19046	302	11	)	)	PUNCT
bracis-19046	302	12	google	google	PROPN
bracis-19046	302	13	scholar	scholar	NOUN
bracis-19046	302	14	  	  	SPACE
bracis-19046	302	15	west	west	PROPN
bracis-19046	302	16	,	,	PUNCT
bracis-19046	302	17	d.	d.	PROPN
bracis-19046	302	18	:	:	PUNCT
bracis-19046	302	19	updating	update	VERB
bracis-19046	302	20	mean	mean	NOUN
bracis-19046	302	21	and	and	CCONJ
bracis-19046	302	22	variance	variance	NOUN
bracis-19046	302	23	estimates	estimate	VERB
bracis-19046	302	24	:	:	PUNCT
bracis-19046	302	25	an	an	DET
bracis-19046	302	26	improved	improved	ADJ
bracis-19046	302	27	method	method	NOUN
bracis-19046	302	28	.	.	PUNCT
bracis-19046	303	1	commun	commun	PROPN
bracis-19046	303	2	.	.	PUNCT
bracis-19046	304	1	acm	acm	PROPN
bracis-19046	304	2	22(9	22(9	NUM
bracis-19046	304	3	)	)	PUNCT
bracis-19046	304	4	,	,	PUNCT
bracis-19046	304	5	532–535	532–535	NUM
bracis-19046	304	6	(	(	PUNCT
bracis-19046	304	7	1979	1979	NUM
bracis-19046	304	8	)	)	PUNCT
bracis-19046	304	9	article	article	NOUN
bracis-19046	304	10	  	  	SPACE
bracis-19046	304	11	google	google	PROPN
bracis-19046	304	12	scholar	scholar	NOUN
bracis-19046	304	13	  	  	SPACE
bracis-19046	304	14	wilcoxon	wilcoxon	ADJ
bracis-19046	304	15	,	,	PUNCT
bracis-19046	304	16	f.	f.	PROPN
bracis-19046	304	17	:	:	PUNCT
bracis-19046	304	18	individual	individual	ADJ
bracis-19046	304	19	comparisons	comparison	NOUN
bracis-19046	304	20	by	by	ADP
bracis-19046	304	21	ranking	rank	VERB
bracis-19046	304	22	methods	method	NOUN
bracis-19046	304	23	.	.	PUNCT
bracis-19046	305	1	in	in	ADP
bracis-19046	305	2	:	:	PUNCT
bracis-19046	305	3	kotz	kotz	PROPN
bracis-19046	305	4	,	,	PUNCT
bracis-19046	305	5	s.	s.	PROPN
bracis-19046	305	6	,	,	PUNCT
bracis-19046	305	7	johnson	johnson	PROPN
bracis-19046	305	8	,	,	PUNCT
bracis-19046	305	9	n.l	n.l	PROPN
bracis-19046	305	10	.	.	PROPN
bracis-19046	305	11	(	(	PUNCT
bracis-19046	305	12	eds	ed	NOUN
bracis-19046	305	13	.	.	PUNCT
bracis-19046	305	14	)	)	PUNCT
bracis-19046	305	15	breakthroughs	breakthrough	NOUN
bracis-19046	305	16	in	in	ADP
bracis-19046	305	17	statistics	statistic	NOUN
bracis-19046	305	18	.	.	PUNCT
bracis-19046	306	1	springer	springer	NOUN
bracis-19046	306	2	series	series	PROPN
bracis-19046	306	3	in	in	ADP
bracis-19046	306	4	statistics	statistic	NOUN
bracis-19046	306	5	(	(	PUNCT
bracis-19046	306	6	perspectives	perspective	NOUN
bracis-19046	306	7	in	in	ADP
bracis-19046	306	8	statistics	statistic	NOUN
bracis-19046	306	9	)	)	PUNCT
bracis-19046	306	10	,	,	PUNCT
bracis-19046	306	11	pp	pp	ADP
bracis-19046	306	12	.	.	PUNCT
bracis-19046	307	1	196–202	196–202	NUM
bracis-19046	307	2	.	.	PUNCT
bracis-19046	308	1	springer	springer	NOUN
bracis-19046	308	2	,	,	PUNCT
bracis-19046	308	3	new	new	PROPN
bracis-19046	308	4	york	york	PROPN
bracis-19046	308	5	(	(	PUNCT
bracis-19046	308	6	1992	1992	NUM
bracis-19046	308	7	)	)	PUNCT
bracis-19046	308	8	.	.	PUNCT
bracis-19046	309	1	https://doi.org/10.1007/978-1-4612-4380-9_16	https://doi.org/10.1007/978-1-4612-4380-9_16	NOUN
bracis-19046	309	2	wu	wu	PROPN
bracis-19046	309	3	,	,	PUNCT
bracis-19046	309	4	f.	f.	PROPN
bracis-19046	309	5	,	,	PUNCT
bracis-19046	309	6	zhang	zhang	PROPN
bracis-19046	309	7	,	,	PUNCT
bracis-19046	309	8	j.	j.	PROPN
bracis-19046	309	9	,	,	PUNCT
bracis-19046	309	10	honavar	honavar	NOUN
bracis-19046	309	11	,	,	PUNCT
bracis-19046	309	12	v.	v.	CCONJ
bracis-19046	309	13	:	:	PUNCT
bracis-19046	309	14	learning	learn	VERB
bracis-19046	309	15	classifiers	classifier	NOUN
bracis-19046	309	16	using	use	VERB
bracis-19046	309	17	hierarchically	hierarchically	ADV
bracis-19046	309	18	structured	structured	ADJ
bracis-19046	309	19	class	class	NOUN
bracis-19046	309	20	taxonomies	taxonomy	NOUN
bracis-19046	309	21	.	.	PUNCT
bracis-19046	310	1	in	in	ADP
bracis-19046	310	2	:	:	PUNCT
bracis-19046	310	3	zucker	zucker	PROPN
bracis-19046	310	4	,	,	PUNCT
bracis-19046	310	5	j.-d	j.-d	PROPN
bracis-19046	310	6	.	.	PROPN
bracis-19046	310	7	,	,	PUNCT
bracis-19046	310	8	saitta	saitta	PROPN
bracis-19046	310	9	,	,	PUNCT
bracis-19046	310	10	l.	l.	PROPN
bracis-19046	310	11	(	(	PUNCT
bracis-19046	310	12	eds	eds	PROPN
bracis-19046	310	13	.	.	PUNCT
bracis-19046	310	14	)	)	PUNCT
bracis-19046	310	15	sara	sara	PROPN
bracis-19046	310	16	2005	2005	NUM
bracis-19046	310	17	.	.	PUNCT
bracis-19046	311	1	lncs	lncs	PROPN
bracis-19046	311	2	(	(	PUNCT
bracis-19046	311	3	lnai	lnai	ADJ
bracis-19046	311	4	)	)	PUNCT
bracis-19046	311	5	,	,	PUNCT
bracis-19046	311	6	vol	vol	NOUN
bracis-19046	311	7	.	.	PUNCT
bracis-19046	312	1	3607	3607	NUM
bracis-19046	312	2	,	,	PUNCT
bracis-19046	312	3	pp	pp	ADJ
bracis-19046	312	4	.	.	PUNCT
bracis-19046	313	1	313–320	313–320	NUM
bracis-19046	313	2	.	.	PUNCT
bracis-19046	313	3	springer	springer	NOUN
bracis-19046	313	4	,	,	PUNCT
bracis-19046	313	5	heidelberg	heidelberg	PROPN
bracis-19046	313	6	(	(	PUNCT
bracis-19046	313	7	2005	2005	NUM
bracis-19046	313	8	)	)	PUNCT
bracis-19046	313	9	.	.	PUNCT
bracis-19046	314	1	https://doi.org/10.1007/11527862_24	https://doi.org/10.1007/11527862_24	ADJ
bracis-19046	314	2	chapter	chapter	NOUN
bracis-19046	314	3	  	  	SPACE
bracis-19046	314	4	google	google	PROPN
bracis-19046	314	5	scholar	scholar	NOUN
bracis-19046	314	6	  	  	SPACE
bracis-19046	314	7	yassin	yassin	PROPN
bracis-19046	314	8	,	,	PUNCT
bracis-19046	314	9	n.i	n.i	PROPN
bracis-19046	314	10	.	.	PROPN
bracis-19046	314	11	,	,	PUNCT
bracis-19046	314	12	omran	omran	PROPN
bracis-19046	314	13	,	,	PUNCT
bracis-19046	314	14	s.	s.	PROPN
bracis-19046	314	15	,	,	PUNCT
bracis-19046	314	16	el	el	PROPN
bracis-19046	314	17	houby	houby	PROPN
bracis-19046	314	18	,	,	PUNCT
bracis-19046	314	19	e.m	e.m	PROPN
bracis-19046	314	20	.	.	PROPN
bracis-19046	314	21	,	,	PUNCT
bracis-19046	314	22	allam	allam	PROPN
bracis-19046	314	23	,	,	PUNCT
bracis-19046	314	24	h.	h.	PROPN
bracis-19046	314	25	:	:	PUNCT
bracis-19046	314	26	machine	machine	NOUN
bracis-19046	314	27	learning	learn	VERB
bracis-19046	314	28	techniques	technique	NOUN
bracis-19046	314	29	for	for	ADP
bracis-19046	314	30	breast	breast	NOUN
bracis-19046	314	31	cancer	cancer	NOUN
bracis-19046	314	32	computer	computer	NOUN
bracis-19046	314	33	aided	aid	VERB
bracis-19046	314	34	diagnosis	diagnosis	NOUN
bracis-19046	314	35	using	use	VERB
bracis-19046	314	36	different	different	ADJ
bracis-19046	314	37	image	image	NOUN
bracis-19046	314	38	modalities	modality	NOUN
bracis-19046	314	39	:	:	PUNCT
bracis-19046	314	40	a	a	DET
bracis-19046	314	41	systematic	systematic	ADJ
bracis-19046	314	42	review	review	NOUN
bracis-19046	314	43	.	.	PUNCT
bracis-19046	315	1	comput	comput	NOUN
bracis-19046	315	2	.	.	PUNCT
bracis-19046	316	1	methods	method	NOUN
bracis-19046	316	2	progr	progr	NOUN
bracis-19046	316	3	.	.	PUNCT
bracis-19046	317	1	biomed	biome	VERB
bracis-19046	317	2	.	.	PUNCT
bracis-19046	318	1	156	156	NUM
bracis-19046	318	2	,	,	PUNCT
bracis-19046	318	3	25–45	25–45	NUM
bracis-19046	318	4	(	(	PUNCT
bracis-19046	318	5	2018	2018	NUM
bracis-19046	318	6	)	)	PUNCT
bracis-19046	318	7	article	article	NOUN
bracis-19046	318	8	  	  	SPACE
bracis-19046	318	9	google	google	PROPN
bracis-19046	318	10	scholar	scholar	NOUN
bracis-19046	318	11	  	  	SPACE
bracis-19046	318	12	yeo	yeo	PROPN
bracis-19046	318	13	,	,	PUNCT
bracis-19046	318	14	i.k	i.k	PROPN
bracis-19046	318	15	.	.	PROPN
bracis-19046	318	16	,	,	PUNCT
bracis-19046	318	17	johnson	johnson	PROPN
bracis-19046	318	18	,	,	PUNCT
bracis-19046	318	19	r.a	r.a	PROPN
bracis-19046	318	20	.	.	PROPN
bracis-19046	318	21	:	:	PUNCT
bracis-19046	319	1	a	a	DET
bracis-19046	319	2	new	new	ADJ
bracis-19046	319	3	family	family	NOUN
bracis-19046	319	4	of	of	ADP
bracis-19046	319	5	power	power	NOUN
bracis-19046	319	6	transformations	transformation	NOUN
bracis-19046	319	7	to	to	PART
bracis-19046	319	8	improve	improve	VERB
bracis-19046	319	9	normality	normality	NOUN
bracis-19046	319	10	or	or	CCONJ
bracis-19046	319	11	symmetry	symmetry	NOUN
bracis-19046	319	12	.	.	PUNCT
bracis-19046	319	13	biometrika	biometrika	PROPN
bracis-19046	319	14	87(4	87(4	PROPN
bracis-19046	319	15	)	)	PUNCT
bracis-19046	319	16	,	,	PUNCT
bracis-19046	319	17	954–959	954–959	NUM
bracis-19046	319	18	(	(	PUNCT
bracis-19046	319	19	2000	2000	NUM
bracis-19046	319	20	)	)	PUNCT
bracis-19046	319	21	article	article	NOUN
bracis-19046	319	22	  	  	SPACE
bracis-19046	319	23	mathscinet	mathscinet	NOUN
bracis-19046	319	24	  	  	SPACE
bracis-19046	319	25	google	google	PROPN
bracis-19046	319	26	scholar	scholar	NOUN
bracis-19046	319	27	  	  	SPACE
bracis-19046	319	28	zaragoza	zaragoza	PROPN
bracis-19046	319	29	,	,	PUNCT
bracis-19046	319	30	j.c	j.c	PROPN
bracis-19046	319	31	.	.	PROPN
bracis-19046	319	32	,	,	PUNCT
bracis-19046	319	33	sucar	sucar	NOUN
bracis-19046	319	34	,	,	PUNCT
bracis-19046	319	35	e.	e.	PROPN
bracis-19046	319	36	,	,	PUNCT
bracis-19046	319	37	morales	morales	PROPN
bracis-19046	319	38	,	,	PUNCT
bracis-19046	319	39	e.	e.	PROPN
bracis-19046	319	40	,	,	PUNCT
bracis-19046	319	41	bielza	bielza	VERB
bracis-19046	319	42	,	,	PUNCT
bracis-19046	319	43	c.	c.	PROPN
bracis-19046	319	44	,	,	PUNCT
bracis-19046	319	45	larranaga	larranaga	PROPN
bracis-19046	319	46	,	,	PUNCT
bracis-19046	319	47	p.	p.	NOUN
bracis-19046	319	48	:	:	PUNCT
bracis-19046	320	1	bayesian	bayesian	NOUN
bracis-19046	320	2	chain	chain	NOUN
bracis-19046	320	3	classifiers	classifier	NOUN
bracis-19046	320	4	for	for	ADP
bracis-19046	320	5	multidimensional	multidimensional	ADJ
bracis-19046	320	6	classification	classification	NOUN
bracis-19046	320	7	.	.	PUNCT
bracis-19046	321	1	in	in	ADP
bracis-19046	321	2	:	:	PUNCT
bracis-19046	321	3	twenty	twenty	NUM
bracis-19046	321	4	-	-	PUNCT
bracis-19046	321	5	second	second	NOUN
bracis-19046	321	6	international	international	ADJ
bracis-19046	321	7	joint	joint	ADJ
bracis-19046	321	8	conference	conference	NOUN
bracis-19046	321	9	on	on	ADP
bracis-19046	321	10	artificial	artificial	ADJ
bracis-19046	321	11	intelligence	intelligence	NOUN
bracis-19046	321	12	.	.	PUNCT
bracis-19046	322	1	citeseer	citeseer	NOUN
bracis-19046	322	2	(	(	PUNCT
bracis-19046	322	3	2011	2011	NUM
bracis-19046	322	4	)	)	PUNCT
bracis-19046	322	5	google	google	PROPN
bracis-19046	322	6	scholar	scholar	NOUN
bracis-19046	322	7	  	  	SPACE
bracis-19046	322	8	download	download	NOUN
bracis-19046	322	9	references	reference	NOUN
bracis-19046	322	10	author	author	NOUN
bracis-19046	322	11	information	information	NOUN
bracis-19046	322	12	authors	author	NOUN
bracis-19046	322	13	and	and	CCONJ
bracis-19046	322	14	affiliations	affiliation	NOUN
bracis-19046	322	15	pós	pós	NOUN
bracis-19046	322	16	-	-	PUNCT
bracis-19046	322	17	graduação	graduação	PROPN
bracis-19046	322	18	em	em	PROPN
bracis-19046	322	19	informática	informática	PROPN
bracis-19046	322	20	(	(	PUNCT
bracis-19046	322	21	ppgia	ppgia	NOUN
bracis-19046	322	22	)	)	PUNCT
bracis-19046	322	23	,	,	PUNCT
bracis-19046	322	24	pontifícia	pontifícia	NOUN
bracis-19046	322	25	universidade	universidade	PROPN
bracis-19046	322	26	católica	católica	PROPN
bracis-19046	322	27	do	do	VERB
bracis-19046	322	28	paraná	paraná	PROPN
bracis-19046	322	29	(	(	PUNCT
bracis-19046	322	30	pucpr	pucpr	PROPN
bracis-19046	322	31	)	)	PUNCT
bracis-19046	322	32	,	,	PUNCT
bracis-19046	322	33	curitiba	curitiba	PROPN
bracis-19046	322	34	,	,	PUNCT
bracis-19046	322	35	brazil	brazil	PROPN
bracis-19046	322	36	eduardo	eduardo	PROPN
bracis-19046	322	37	tieppo	tieppo	PROPN
bracis-19046	322	38	,	,	PUNCT
bracis-19046	322	39	 	 	SPACE
bracis-19046	322	40	jean	jean	PROPN
bracis-19046	322	41	paul	paul	PROPN
bracis-19046	322	42	barddal	barddal	PROPN
bracis-19046	322	43	 	 	SPACE
bracis-19046	322	44	&	&	CCONJ
bracis-19046	322	45	 	 	SPACE
bracis-19046	322	46	júlio	júlio	PROPN
bracis-19046	322	47	cesar	cesar	PROPN
bracis-19046	322	48	nievola	nievola	PROPN
bracis-19046	322	49	instituto	instituto	PROPN
bracis-19046	322	50	federal	federal	PROPN
bracis-19046	322	51	do	do	AUX
bracis-19046	322	52	paraná	paraná	PROPN
bracis-19046	322	53	(	(	PUNCT
bracis-19046	322	54	ifpr	ifpr	NOUN
bracis-19046	322	55	)	)	PUNCT
bracis-19046	322	56	,	,	PUNCT
bracis-19046	322	57	pinhais	pinhais	PROPN
bracis-19046	322	58	,	,	PUNCT
bracis-19046	322	59	brazil	brazil	PROPN
bracis-19046	322	60	eduardo	eduardo	PROPN
bracis-19046	322	61	tieppo	tieppo	VERB
bracis-19046	322	62	authors	author	NOUN
bracis-19046	322	63	eduardo	eduardo	PROPN
bracis-19046	322	64	tieppoview	tieppoview	PROPN
bracis-19046	322	65	author	author	NOUN
bracis-19046	322	66	publications	publication	NOUN
bracis-19046	322	67	search	search	NOUN
bracis-19046	322	68	author	author	NOUN
bracis-19046	322	69	on	on	ADP
bracis-19046	322	70	:	:	PUNCT
bracis-19046	322	71	pubmed	pubmed	PROPN
bracis-19046	322	72	 	 	SPACE
bracis-19046	322	73	google	google	PROPN
bracis-19046	322	74	scholar	scholar	PROPN
bracis-19046	322	75	jean	jean	PROPN
bracis-19046	322	76	paul	paul	PROPN
bracis-19046	322	77	barddalview	barddalview	PROPN
bracis-19046	322	78	author	author	NOUN
bracis-19046	322	79	publications	publication	NOUN
bracis-19046	322	80	search	search	NOUN
bracis-19046	322	81	author	author	NOUN
bracis-19046	322	82	on	on	ADP
bracis-19046	322	83	:	:	PUNCT
bracis-19046	322	84	pubmed	pubmed	PROPN
bracis-19046	322	85	 	 	SPACE
bracis-19046	322	86	google	google	PROPN
bracis-19046	322	87	scholar	scholar	PROPN
bracis-19046	322	88	júlio	júlio	PROPN
bracis-19046	322	89	cesar	cesar	PROPN
bracis-19046	322	90	nievolaview	nievolaview	PROPN
bracis-19046	322	91	author	author	NOUN
bracis-19046	322	92	publications	publication	NOUN
bracis-19046	322	93	search	search	NOUN
bracis-19046	322	94	author	author	NOUN
bracis-19046	322	95	on	on	ADP
bracis-19046	322	96	:	:	PUNCT
bracis-19046	322	97	pubmed	pubmed	PROPN
bracis-19046	322	98	 	 	SPACE
bracis-19046	322	99	google	google	PROPN
bracis-19046	322	100	scholar	scholar	NOUN
bracis-19046	322	101	corresponding	correspond	VERB
bracis-19046	322	102	author	author	NOUN
bracis-19046	322	103	correspondence	correspondence	NOUN
bracis-19046	322	104	to	to	ADP
bracis-19046	322	105	eduardo	eduardo	PROPN
bracis-19046	322	106	tieppo	tieppo	PROPN
bracis-19046	322	107	.	.	PUNCT
bracis-19046	323	1	editor	editor	NOUN
bracis-19046	323	2	information	information	NOUN
bracis-19046	323	3	editors	editor	NOUN
bracis-19046	323	4	and	and	CCONJ
bracis-19046	323	5	affiliations	affiliation	NOUN
bracis-19046	323	6	universidade	universidade	PROPN
bracis-19046	323	7	federal	federal	PROPN
bracis-19046	323	8	de	de	X
bracis-19046	323	9	sergipe	sergipe	PROPN
bracis-19046	323	10	,	,	PUNCT
bracis-19046	323	11	são	são	NOUN
bracis-19046	323	12	cristóvão	cristóvão	PROPN
bracis-19046	323	13	,	,	PUNCT
bracis-19046	323	14	brazil	brazil	PROPN
bracis-19046	323	15	andré	andré	PROPN
bracis-19046	323	16	britto	britto	PROPN
bracis-19046	323	17	universidade	universidade	PROPN
bracis-19046	323	18	de	de	PROPN
bracis-19046	323	19	são	são	PROPN
bracis-19046	323	20	paulo	paulo	PROPN
bracis-19046	323	21	,	,	PUNCT
bracis-19046	323	22	são	são	PROPN
bracis-19046	323	23	paulo	paulo	PROPN
bracis-19046	323	24	,	,	PUNCT
bracis-19046	323	25	brazil	brazil	PROPN
bracis-19046	323	26	karina	karina	PROPN
bracis-19046	323	27	valdivia	valdivia	PROPN
bracis-19046	323	28	delgado	delgado	VERB
bracis-19046	323	29	rights	right	NOUN
bracis-19046	323	30	and	and	CCONJ
bracis-19046	323	31	permissions	permission	NOUN
bracis-19046	323	32	reprints	reprint	NOUN
bracis-19046	323	33	and	and	CCONJ
bracis-19046	323	34	permissions	permission	VERB
bracis-19046	323	35	copyright	copyright	NOUN
bracis-19046	323	36	information	information	NOUN
bracis-19046	323	37	©	©	PROPN
bracis-19046	323	38	2021	2021	NUM
bracis-19046	323	39	springer	springer	NOUN
bracis-19046	323	40	nature	nature	NOUN
bracis-19046	323	41	switzerland	switzerland	PROPN
bracis-19046	323	42	ag	ag	PROPN
bracis-19046	323	43	about	about	ADP
bracis-19046	323	44	this	this	DET
bracis-19046	323	45	paper	paper	NOUN
bracis-19046	323	46	cite	cite	VERB
bracis-19046	323	47	this	this	DET
bracis-19046	323	48	paper	paper	NOUN
bracis-19046	323	49	tieppo	tieppo	NOUN
bracis-19046	323	50	,	,	PUNCT
bracis-19046	323	51	e.	e.	PROPN
bracis-19046	323	52	,	,	PUNCT
bracis-19046	323	53	barddal	barddal	PROPN
bracis-19046	323	54	,	,	PUNCT
bracis-19046	323	55	j.p	j.p	PROPN
bracis-19046	323	56	.	.	PROPN
bracis-19046	323	57	,	,	PUNCT
bracis-19046	323	58	nievola	nievola	PROPN
bracis-19046	323	59	,	,	PUNCT
bracis-19046	323	60	j.c	j.c	PROPN
bracis-19046	323	61	.	.	PROPN
bracis-19046	323	62	(	(	PUNCT
bracis-19046	323	63	2021	2021	NUM
bracis-19046	323	64	)	)	PUNCT
bracis-19046	323	65	.	.	PUNCT
bracis-19046	324	1	classifying	classify	VERB
bracis-19046	324	2	potentially	potentially	ADV
bracis-19046	324	3	unbounded	unbounded	ADJ
bracis-19046	324	4	hierarchical	hierarchical	ADJ
bracis-19046	324	5	data	datum	NOUN
bracis-19046	324	6	streams	stream	NOUN
bracis-19046	324	7	with	with	ADP
bracis-19046	324	8	incremental	incremental	ADJ
bracis-19046	324	9	gaussian	gaussian	ADJ
bracis-19046	324	10	naive	naive	ADJ
bracis-19046	324	11	bayes	bayes	NOUN
bracis-19046	324	12	.	.	PUNCT
bracis-19046	325	1	in	in	ADP
bracis-19046	325	2	:	:	PUNCT
bracis-19046	325	3	britto	britto	PROPN
bracis-19046	325	4	,	,	PUNCT
bracis-19046	325	5	a.	a.	PROPN
bracis-19046	325	6	,	,	PUNCT
bracis-19046	325	7	valdivia	valdivia	PROPN
bracis-19046	325	8	delgado	delgado	PROPN
bracis-19046	325	9	,	,	PUNCT
bracis-19046	325	10	k.	k.	PROPN
bracis-19046	325	11	(	(	PUNCT
bracis-19046	325	12	eds	eds	PROPN
bracis-19046	325	13	)	)	PUNCT
bracis-19046	325	14	intelligent	intelligent	ADJ
bracis-19046	325	15	systems	system	NOUN
bracis-19046	325	16	.	.	PUNCT
bracis-19046	326	1	bracis	bracis	PROPN
bracis-19046	326	2	2021	2021	NUM
bracis-19046	326	3	.	.	PUNCT
bracis-19046	327	1	lecture	lecture	NOUN
bracis-19046	327	2	notes	note	NOUN
bracis-19046	327	3	in	in	ADP
bracis-19046	327	4	computer	computer	NOUN
bracis-19046	327	5	science	science	NOUN
bracis-19046	327	6	(	(	PUNCT
bracis-19046	327	7	)	)	PUNCT
bracis-19046	327	8	,	,	PUNCT
bracis-19046	327	9	vol	vol	NOUN
bracis-19046	327	10	13073	13073	NUM
bracis-19046	327	11	.	.	PUNCT
bracis-19046	328	1	springer	springer	NOUN
bracis-19046	328	2	,	,	PUNCT
bracis-19046	328	3	cham	cham	PROPN
bracis-19046	328	4	.	.	PUNCT
bracis-19046	329	1	https://doi.org/10.1007/978-3-030-91702-9_28	https://doi.org/10.1007/978-3-030-91702-9_28	PROPN
bracis-19046	329	2	download	download	NOUN
bracis-19046	329	3	citation	citation	NOUN
bracis-19046	329	4	.ris	.ris	PUNCT
bracis-19046	330	1	.enw	.enw	PROPN
bracis-19046	330	2	.bib	.bib	PUNCT
bracis-19046	331	1	doi	doi	PROPN
bracis-19046	331	2	:	:	PUNCT
bracis-19046	331	3	https://doi.org/10.1007/978-3-030-91702-9_28	https://doi.org/10.1007/978-3-030-91702-9_28	NOUN
bracis-19046	331	4	published	publish	VERB
bracis-19046	331	5	:	:	PUNCT
bracis-19046	331	6	28	28	NUM
bracis-19046	331	7	november	november	PROPN
bracis-19046	331	8	2021	2021	NUM
bracis-19046	331	9	publisher	publisher	NOUN
bracis-19046	331	10	name	name	NOUN
bracis-19046	331	11	:	:	PUNCT
bracis-19046	331	12	springer	springer	NOUN
bracis-19046	331	13	,	,	PUNCT
bracis-19046	331	14	cham	cham	PROPN
bracis-19046	331	15	print	print	PROPN
bracis-19046	331	16	isbn	isbn	PROPN
bracis-19046	331	17	:	:	PUNCT
bracis-19046	331	18	978	978	NUM
bracis-19046	331	19	-	-	SYM
bracis-19046	331	20	3	3	NUM
bracis-19046	331	21	-	-	PUNCT
bracis-19046	331	22	030	030	NUM
bracis-19046	331	23	-	-	PUNCT
bracis-19046	331	24	91701	91701	NUM
bracis-19046	331	25	-	-	SYM
bracis-19046	331	26	2	2	NUM
bracis-19046	331	27	online	online	ADJ
bracis-19046	331	28	isbn	isbn	NOUN
bracis-19046	331	29	:	:	PUNCT
bracis-19046	331	30	978	978	NUM
bracis-19046	331	31	-	-	SYM
bracis-19046	331	32	3	3	NUM
bracis-19046	331	33	-	-	PUNCT
bracis-19046	331	34	030	030	NUM
bracis-19046	331	35	-	-	PUNCT
bracis-19046	331	36	91702	91702	NUM
bracis-19046	331	37	-	-	SYM
bracis-19046	331	38	9	9	NUM
bracis-19046	331	39	ebook	ebook	NOUN
bracis-19046	331	40	packages	package	NOUN
bracis-19046	331	41	:	:	PUNCT
bracis-19046	331	42	computer	computer	NOUN
bracis-19046	331	43	sciencecomputer	sciencecomputer	NOUN
bracis-19046	331	44	science	science	NOUN
bracis-19046	331	45	(	(	PUNCT
bracis-19046	331	46	r0	r0	NOUN
bracis-19046	331	47	)	)	PUNCT
bracis-19046	331	48	share	share	VERB
bracis-19046	331	49	this	this	DET
bracis-19046	331	50	paper	paper	NOUN
bracis-19046	331	51	anyone	anyone	PRON
bracis-19046	331	52	you	you	PRON
bracis-19046	331	53	share	share	VERB
bracis-19046	331	54	the	the	DET
bracis-19046	331	55	following	follow	VERB
bracis-19046	331	56	link	link	NOUN
bracis-19046	331	57	with	with	ADP
bracis-19046	331	58	will	will	AUX
bracis-19046	331	59	be	be	AUX
bracis-19046	331	60	able	able	ADJ
bracis-19046	331	61	to	to	PART
bracis-19046	331	62	read	read	VERB
bracis-19046	331	63	this	this	DET
bracis-19046	331	64	content	content	NOUN
bracis-19046	331	65	:	:	PUNCT
bracis-19046	331	66	get	get	VERB
bracis-19046	331	67	shareable	shareable	ADJ
bracis-19046	331	68	linksorry	linksorry	NOUN
bracis-19046	331	69	,	,	PUNCT
bracis-19046	331	70	a	a	DET
bracis-19046	331	71	shareable	shareable	ADJ
bracis-19046	331	72	link	link	NOUN
bracis-19046	331	73	is	be	AUX
bracis-19046	331	74	not	not	PART
bracis-19046	331	75	currently	currently	ADV
bracis-19046	331	76	available	available	ADJ
bracis-19046	331	77	for	for	ADP
bracis-19046	331	78	this	this	DET
bracis-19046	331	79	article	article	NOUN
bracis-19046	331	80	.	.	PUNCT
bracis-19046	332	1	copy	copy	VERB
bracis-19046	332	2	shareable	shareable	ADJ
bracis-19046	332	3	link	link	NOUN
bracis-19046	332	4	to	to	PART
bracis-19046	332	5	clipboard	clipboard	NOUN
bracis-19046	332	6	provided	provide	VERB
bracis-19046	332	7	by	by	ADP
bracis-19046	332	8	the	the	DET
bracis-19046	332	9	springer	springer	NOUN
bracis-19046	332	10	nature	nature	PROPN
bracis-19046	332	11	sharedit	sharedit	PROPN
bracis-19046	332	12	content	content	NOUN
bracis-19046	332	13	-	-	PUNCT
bracis-19046	332	14	sharing	share	VERB
bracis-19046	332	15	initiative	initiative	NOUN
bracis-19046	332	16	keywords	keyword	NOUN
bracis-19046	332	17	hierarchical	hierarchical	ADJ
bracis-19046	332	18	classification	classification	NOUN
bracis-19046	332	19	data	datum	NOUN
bracis-19046	332	20	stream	stream	NOUN
bracis-19046	333	1	classification	classification	NOUN
bracis-19046	333	2	gaussian	gaussian	NOUN
bracis-19046	333	3	naive	naive	ADJ
bracis-19046	333	4	bayes	bayes	NOUN
bracis-19046	333	5	incremental	incremental	ADJ
bracis-19046	333	6	learning	learning	NOUN
bracis-19046	333	7	publish	publish	VERB
bracis-19046	333	8	with	with	ADP
bracis-19046	333	9	us	us	PROPN
bracis-19046	333	10	policies	policy	NOUN
bracis-19046	333	11	and	and	CCONJ
bracis-19046	333	12	ethics	ethic	NOUN
bracis-19046	333	13	profiles	profile	NOUN
bracis-19046	333	14	jean	jean	PROPN
bracis-19046	333	15	paul	paul	PROPN
bracis-19046	333	16	barddal	barddal	PROPN
bracis-19046	333	17	view	view	NOUN
bracis-19046	333	18	author	author	NOUN
bracis-19046	333	19	profile	profile	NOUN
bracis-19046	333	20	search	search	NOUN
bracis-19046	333	21	search	search	NOUN
bracis-19046	333	22	by	by	ADP
bracis-19046	333	23	keyword	keyword	NOUN
bracis-19046	333	24	or	or	CCONJ
bracis-19046	333	25	author	author	NOUN
bracis-19046	333	26	search	search	NOUN
bracis-19046	333	27	navigation	navigation	NOUN
bracis-19046	333	28	find	find	VERB
bracis-19046	333	29	a	a	DET
bracis-19046	333	30	journal	journal	NOUN
bracis-19046	333	31	publish	publish	VERB
bracis-19046	333	32	with	with	ADP
bracis-19046	333	33	us	we	PRON
bracis-19046	333	34	track	track	VERB
bracis-19046	333	35	your	your	PRON
bracis-19046	333	36	research	research	NOUN
bracis-19046	333	37	discover	discover	VERB
bracis-19046	333	38	content	content	NOUN
bracis-19046	333	39	journals	journal	NOUN
bracis-19046	333	40	a	a	DET
bracis-19046	333	41	-	-	PUNCT
bracis-19046	333	42	z	z	NOUN
bracis-19046	333	43	books	book	NOUN
bracis-19046	333	44	a	a	DET
bracis-19046	333	45	-	-	PUNCT
bracis-19046	333	46	z	z	NOUN
bracis-19046	333	47	publish	publish	NOUN
bracis-19046	333	48	with	with	ADP
bracis-19046	333	49	us	us	PROPN
bracis-19046	333	50	journal	journal	PROPN
bracis-19046	333	51	finder	finder	PROPN
bracis-19046	333	52	publish	publish	VERB
bracis-19046	333	53	your	your	PRON
bracis-19046	333	54	research	research	NOUN
bracis-19046	333	55	language	language	NOUN
bracis-19046	333	56	editing	edit	VERB
bracis-19046	333	57	open	open	ADJ
bracis-19046	333	58	access	access	NOUN
bracis-19046	333	59	publishing	publishing	NOUN
bracis-19046	333	60	products	product	NOUN
bracis-19046	333	61	and	and	CCONJ
bracis-19046	333	62	services	service	NOUN
bracis-19046	333	63	our	our	PRON
bracis-19046	333	64	products	product	NOUN
bracis-19046	333	65	librarians	librarian	VERB
bracis-19046	333	66	societies	society	NOUN
bracis-19046	333	67	partners	partner	NOUN
bracis-19046	333	68	and	and	CCONJ
bracis-19046	333	69	advertisers	advertiser	NOUN
bracis-19046	333	70	our	our	PRON
bracis-19046	333	71	brands	brand	NOUN
bracis-19046	333	72	springer	springer	NOUN
bracis-19046	333	73	nature	nature	PROPN
bracis-19046	333	74	portfolio	portfolio	PROPN
bracis-19046	333	75	bmc	bmc	PROPN
bracis-19046	333	76	palgrave	palgrave	PROPN
bracis-19046	333	77	macmillan	macmillan	PROPN
bracis-19046	333	78	apress	apress	PROPN
bracis-19046	333	79	discover	discover	VERB
bracis-19046	333	80	your	your	PRON
bracis-19046	333	81	privacy	privacy	NOUN
bracis-19046	333	82	choices	choice	NOUN
bracis-19046	333	83	/	/	SYM
bracis-19046	333	84	manage	manage	NOUN
bracis-19046	333	85	cookies	cookie	NOUN
bracis-19046	333	86	your	your	PRON
bracis-19046	333	87	us	us	PROPN
bracis-19046	334	1	state	state	NOUN
bracis-19046	334	2	privacy	privacy	NOUN
bracis-19046	334	3	rights	right	NOUN
bracis-19046	334	4	accessibility	accessibility	NOUN
bracis-19046	334	5	statement	statement	NOUN
bracis-19046	334	6	terms	term	NOUN
bracis-19046	334	7	and	and	CCONJ
bracis-19046	334	8	conditions	condition	NOUN
bracis-19046	334	9	privacy	privacy	NOUN
bracis-19046	334	10	policy	policy	NOUN
bracis-19046	334	11	help	help	NOUN
bracis-19046	334	12	and	and	CCONJ
bracis-19046	334	13	support	support	VERB
bracis-19046	334	14	legal	legal	ADJ
bracis-19046	334	15	notice	notice	NOUN
bracis-19046	334	16	cancel	cancel	VERB
bracis-19046	334	17	contracts	contract	NOUN
bracis-19046	334	18	here	here	ADV
bracis-19046	334	19	129.74.145.123	129.74.145.123	NUM
bracis-19046	334	20	hesburgh	hesburgh	PROPN
bracis-19046	334	21	library	library	PROPN
bracis-19046	334	22	er	er	INTJ
bracis-19046	334	23	unit	unit	NOUN
bracis-19046	334	24	(	(	PUNCT
bracis-19046	334	25	3005732405	3005732405	NUM
bracis-19046	334	26	)	)	PUNCT
bracis-19046	334	27	northeast	northeast	ADJ
bracis-19046	334	28	research	research	NOUN
bracis-19046	334	29	libraries	library	NOUN
bracis-19046	334	30	(	(	PUNCT
bracis-19046	334	31	nerl	nerl	PROPN
bracis-19046	334	32	)	)	PUNCT
bracis-19046	334	33	(	(	PUNCT
bracis-19046	334	34	8200828607	8200828607	NUM
bracis-19046	334	35	)	)	PUNCT
bracis-19046	334	36	nerl	nerl	VERB
bracis-19046	334	37	ta	ta	X
bracis-19046	334	38	account	account	NOUN
bracis-19046	334	39	(	(	PUNCT
bracis-19046	334	40	3006206169	3006206169	NUM
bracis-19046	334	41	)	)	PUNCT
bracis-19046	334	42	university	university	NOUN
bracis-19046	334	43	of	of	ADP
bracis-19046	334	44	notre	notre	PROPN
bracis-19046	334	45	dame	dame	PROPN
bracis-19046	334	46	hesburgh	hesburgh	PROPN
bracis-19046	334	47	library	library	NOUN
bracis-19046	334	48	(	(	PUNCT
bracis-19046	334	49	3000184373	3000184373	NUM
bracis-19046	334	50	)	)	PUNCT
bracis-19046	335	1	©	©	ADP
bracis-19046	335	2	2025	2025	NUM
bracis-19046	335	3	springer	springer	NOUN
bracis-19046	335	4	nature	nature	NOUN