id	sid	tid	token	lemma	pos
esrj-65215	1	1	given	give	VERB
esrj-65215	1	2	the	the	DET
esrj-65215	1	3	difficulty	difficulty	NOUN
esrj-65215	1	4	of	of	ADP
esrj-65215	1	5	accurate	accurate	ADJ
esrj-65215	1	6	online	online	ADJ
esrj-65215	1	7	detection	detection	NOUN
esrj-65215	1	8	for	for	ADP
esrj-65215	1	9	massive	massive	ADJ
esrj-65215	1	10	data	datum	NOUN
esrj-65215	1	11	collecting	collect	VERB
esrj-65215	1	12	real	real	ADV
esrj-65215	1	13	-	-	PUNCT
esrj-65215	1	14	timely	timely	ADV
esrj-65215	1	15	in	in	ADP
esrj-65215	1	16	a	a	DET
esrj-65215	1	17	strong	strong	ADJ
esrj-65215	1	18	noise	noise	NOUN
esrj-65215	1	19	environment	environment	NOUN
esrj-65215	1	20	during	during	ADP
esrj-65215	1	21	the	the	DET
esrj-65215	1	22	complex	complex	ADJ
esrj-65215	1	23	geological	geological	ADJ
esrj-65215	1	24	mineral	mineral	NOUN
esrj-65215	1	25	grade	grade	NOUN
esrj-65215	1	26	analysis	analysis	NOUN
esrj-65215	1	27	process	process	NOUN
esrj-65215	1	28	,	,	PUNCT
esrj-65215	1	29	an	an	DET
esrj-65215	1	30	order	order	NOUN
esrj-65215	1	31	self	self	NOUN
esrj-65215	1	32	-	-	PUNCT
esrj-65215	1	33	learning	learn	VERB
esrj-65215	1	34	arhmm	arhmm	NOUN
esrj-65215	1	35	(	(	PUNCT
esrj-65215	1	36	autoregressive	autoregressive	ADJ
esrj-65215	1	37	hidden	hide	VERB
esrj-65215	1	38	markov	markov	NOUN
esrj-65215	1	39	model	model	NOUN
esrj-65215	1	40	)	)	PUNCT
esrj-65215	1	41	algorithm	algorithm	NOUN
esrj-65215	1	42	is	be	AUX
esrj-65215	1	43	proposed	propose	VERB
esrj-65215	1	44	to	to	PART
esrj-65215	1	45	carry	carry	VERB
esrj-65215	1	46	out	out	ADP
esrj-65215	1	47	online	online	ADJ
esrj-65215	1	48	outlier	outlier	NOUN
esrj-65215	1	49	detection	detection	NOUN
esrj-65215	1	50	in	in	ADP
esrj-65215	1	51	the	the	DET
esrj-65215	1	52	geological	geological	ADJ
esrj-65215	1	53	mineral	mineral	NOUN
esrj-65215	1	54	grade	grade	NOUN
esrj-65215	1	55	analysis	analysis	NOUN
esrj-65215	1	56	process	process	NOUN
esrj-65215	1	57	.	.	PUNCT
esrj-65215	2	1	the	the	DET
esrj-65215	2	2	algorithm	algorithm	NOUN
esrj-65215	2	3	utilizes	utilize	VERB
esrj-65215	2	4	ar	ar	PROPN
esrj-65215	2	5	model	model	NOUN
esrj-65215	2	6	to	to	PART
esrj-65215	2	7	fit	fit	VERB
esrj-65215	2	8	the	the	DET
esrj-65215	2	9	time	time	NOUN
esrj-65215	2	10	series	series	NOUN
esrj-65215	2	11	obtained	obtain	VERB
esrj-65215	2	12	from	from	ADP
esrj-65215	2	13	“	"	PUNCT
esrj-65215	2	14	online	online	ADJ
esrj-65215	2	15	x	x	X
esrj-65215	2	16	ray	ray	NOUN
esrj-65215	2	17	fluorescent	fluorescent	ADJ
esrj-65215	2	18	mineral	mineral	NOUN
esrj-65215	2	19	analyzer	analyzer	NOUN
esrj-65215	2	20	”	"	PUNCT
esrj-65215	2	21	and	and	CCONJ
esrj-65215	2	22	makes	make	VERB
esrj-65215	2	23	use	use	NOUN
esrj-65215	2	24	of	of	ADP
esrj-65215	2	25	hmm	hmm	INTJ
esrj-65215	2	26	as	as	ADP
esrj-65215	2	27	a	a	DET
esrj-65215	2	28	basic	basic	ADJ
esrj-65215	2	29	detection	detection	NOUN
esrj-65215	2	30	tool	tool	NOUN
esrj-65215	2	31	,	,	PUNCT
esrj-65215	2	32	which	which	PRON
esrj-65215	2	33	can	can	AUX
esrj-65215	2	34	avoid	avoid	VERB
esrj-65215	2	35	the	the	DET
esrj-65215	2	36	deficiency	deficiency	NOUN
esrj-65215	2	37	of	of	ADP
esrj-65215	2	38	presetting	presette	VERB
esrj-65215	2	39	the	the	DET
esrj-65215	2	40	threshold	threshold	NOUN
esrj-65215	2	41	in	in	ADP
esrj-65215	2	42	traditional	traditional	ADJ
esrj-65215	2	43	detection	detection	NOUN
esrj-65215	2	44	methods	method	NOUN
esrj-65215	2	45	.	.	PUNCT
esrj-65215	3	1	the	the	DET
esrj-65215	3	2	structure	structure	NOUN
esrj-65215	3	3	of	of	ADP
esrj-65215	3	4	traditional	traditional	ADJ
esrj-65215	3	5	bdt	bdt	NOUN
esrj-65215	3	6	(	(	PUNCT
esrj-65215	3	7	brockwell	brockwell	PROPN
esrj-65215	3	8	-	-	PUNCT
esrj-65215	3	9	dahlhaus	dahlhaus	NOUN
esrj-65215	3	10	-	-	PUNCT
esrj-65215	3	11	trindade	trindade	VERB
esrj-65215	3	12	)	)	PUNCT
esrj-65215	3	13	algorithm	algorithm	NOUN
esrj-65215	3	14	is	be	AUX
esrj-65215	3	15	improved	improve	VERB
esrj-65215	3	16	to	to	PART
esrj-65215	3	17	be	be	AUX
esrj-65215	3	18	a	a	DET
esrj-65215	3	19	double	double	ADJ
esrj-65215	3	20	iterative	iterative	NOUN
esrj-65215	3	21	structure	structure	NOUN
esrj-65215	3	22	in	in	ADP
esrj-65215	3	23	which	which	PRON
esrj-65215	3	24	iterative	iterative	NOUN
esrj-65215	3	25	calculation	calculation	NOUN
esrj-65215	3	26	from	from	ADP
esrj-65215	3	27	both	both	DET
esrj-65215	3	28	time	time	NOUN
esrj-65215	3	29	and	and	CCONJ
esrj-65215	3	30	order	order	NOUN
esrj-65215	3	31	is	be	AUX
esrj-65215	3	32	applied	apply	VERB
esrj-65215	3	33	respectively	respectively	ADV
esrj-65215	3	34	to	to	PART
esrj-65215	3	35	update	update	VERB
esrj-65215	3	36	parameters	parameter	NOUN
esrj-65215	3	37	of	of	ADP
esrj-65215	3	38	arhmm	arhmm	PROPN
esrj-65215	3	39	online	online	ADV
esrj-65215	3	40	.	.	PUNCT
esrj-65215	4	1	with	with	ADP
esrj-65215	4	2	the	the	DET
esrj-65215	4	3	purpose	purpose	NOUN
esrj-65215	4	4	of	of	ADP
esrj-65215	4	5	reducing	reduce	VERB
esrj-65215	4	6	the	the	DET
esrj-65215	4	7	influence	influence	NOUN
esrj-65215	4	8	of	of	ADP
esrj-65215	4	9	outlier	outlier	NOUN
esrj-65215	4	10	on	on	ADP
esrj-65215	4	11	parameter	parameter	NOUN
esrj-65215	4	12	update	update	NOUN
esrj-65215	4	13	of	of	ADP
esrj-65215	4	14	arhmm	arhmm	NOUN
esrj-65215	4	15	,	,	PUNCT
esrj-65215	4	16	the	the	DET
esrj-65215	4	17	strategies	strategy	NOUN
esrj-65215	4	18	of	of	ADP
esrj-65215	4	19	detection	detection	NOUN
esrj-65215	4	20	-	-	PUNCT
esrj-65215	4	21	before	before	ADP
esrj-65215	4	22	-	-	PUNCT
esrj-65215	4	23	update	update	NOUN
esrj-65215	4	24	and	and	CCONJ
esrj-65215	4	25	detection	detection	NOUN
esrj-65215	4	26	-	-	PUNCT
esrj-65215	4	27	based	base	VERB
esrj-65215	4	28	-	-	PUNCT
esrj-65215	4	29	update	update	NOUN
esrj-65215	4	30	are	be	AUX
esrj-65215	4	31	adopted	adopt	VERB
esrj-65215	4	32	,	,	PUNCT
esrj-65215	4	33	which	which	PRON
esrj-65215	4	34	also	also	ADV
esrj-65215	4	35	improve	improve	VERB
esrj-65215	4	36	the	the	DET
esrj-65215	4	37	robustness	robustness	NOUN
esrj-65215	4	38	of	of	ADP
esrj-65215	4	39	the	the	DET
esrj-65215	4	40	algorithm	algorithm	NOUN
esrj-65215	4	41	.	.	PUNCT
esrj-65215	5	1	subsequent	subsequent	ADJ
esrj-65215	5	2	simulation	simulation	NOUN
esrj-65215	5	3	by	by	ADP
esrj-65215	5	4	model	model	NOUN
esrj-65215	5	5	data	datum	NOUN
esrj-65215	5	6	and	and	CCONJ
esrj-65215	5	7	practical	practical	ADJ
esrj-65215	5	8	application	application	NOUN
esrj-65215	5	9	verify	verify	VERB
esrj-65215	5	10	the	the	DET
esrj-65215	5	11	accuracy	accuracy	NOUN
esrj-65215	5	12	,	,	PUNCT
esrj-65215	5	13	robustness	robustness	NOUN
esrj-65215	5	14	,	,	PUNCT
esrj-65215	5	15	and	and	CCONJ
esrj-65215	5	16	property	property	NOUN
esrj-65215	5	17	of	of	ADP
esrj-65215	5	18	online	online	ADJ
esrj-65215	5	19	detection	detection	NOUN
esrj-65215	5	20	of	of	ADP
esrj-65215	5	21	the	the	DET
esrj-65215	5	22	algorithm	algorithm	NOUN
esrj-65215	5	23	.	.	PUNCT
esrj-65215	6	1	according	accord	VERB
esrj-65215	6	2	to	to	ADP
esrj-65215	6	3	the	the	DET
esrj-65215	6	4	result	result	NOUN
esrj-65215	6	5	,	,	PUNCT
esrj-65215	6	6	it	it	PRON
esrj-65215	6	7	is	be	AUX
esrj-65215	6	8	obvious	obvious	ADJ
esrj-65215	6	9	that	that	SCONJ
esrj-65215	6	10	new	new	ADJ
esrj-65215	6	11	algorithm	algorithm	NOUN
esrj-65215	6	12	proposed	propose	VERB
esrj-65215	6	13	in	in	ADP
esrj-65215	6	14	this	this	DET
esrj-65215	6	15	paper	paper	NOUN
esrj-65215	6	16	is	be	AUX
esrj-65215	6	17	more	more	ADV
esrj-65215	6	18	suitable	suitable	ADJ
esrj-65215	6	19	for	for	ADP
esrj-65215	6	20	outlier	outlier	ADJ
esrj-65215	6	21	detection	detection	NOUN
esrj-65215	6	22	of	of	ADP
esrj-65215	6	23	mineral	mineral	NOUN
esrj-65215	6	24	grade	grade	NOUN
esrj-65215	6	25	analysis	analysis	NOUN
esrj-65215	6	26	data	datum	NOUN
esrj-65215	6	27	in	in	ADP
esrj-65215	6	28	geology	geology	NOUN
esrj-65215	6	29	and	and	CCONJ
esrj-65215	6	30	mineral	mineral	NOUN
esrj-65215	6	31	processing	processing	NOUN
esrj-65215	6	32	.	.	PUNCT
esrj-65215	7	1	abstract	abstract	ADJ
esrj-65215	7	2	keywords	keyword	NOUN
esrj-65215	7	3	:	:	PUNCT
esrj-65215	7	4	arhmm	arhmm	NOUN
esrj-65215	7	5	;	;	PUNCT
esrj-65215	7	6	bdt	bdt	PROPN
esrj-65215	7	7	;	;	PUNCT
esrj-65215	7	8	kicvc	kicvc	NOUN
esrj-65215	7	9	;	;	PUNCT
esrj-65215	7	10	outlier	outlier	NOUN
esrj-65215	7	11	detection	detection	NOUN
esrj-65215	7	12	;	;	PUNCT
esrj-65215	7	13	online	online	ADJ
esrj-65215	7	14	detection	detection	NOUN
esrj-65215	7	15	.	.	PUNCT
esrj-65215	8	1	online	online	ADJ
esrj-65215	8	2	outlier	outlier	NOUN
esrj-65215	8	3	detection	detection	NOUN
esrj-65215	8	4	for	for	ADP
esrj-65215	8	5	time	time	NOUN
esrj-65215	8	6	-	-	PUNCT
esrj-65215	8	7	varying	vary	VERB
esrj-65215	8	8	time	time	NOUN
esrj-65215	8	9	series	series	NOUN
esrj-65215	8	10	on	on	ADP
esrj-65215	8	11	improved	improved	ADJ
esrj-65215	8	12	arhmm	arhmm	NOUN
esrj-65215	8	13	in	in	ADP
esrj-65215	8	14	geological	geological	ADJ
esrj-65215	8	15	mineral	mineral	NOUN
esrj-65215	8	16	grade	grade	NOUN
esrj-65215	8	17	analysis	analysis	NOUN
esrj-65215	8	18	process	process	NOUN
esrj-65215	8	19	detección	detección	PROPN
esrj-65215	8	20	en	en	X
esrj-65215	8	21	tiempo	tiempo	PROPN
esrj-65215	8	22	real	real	PROPN
esrj-65215	8	23	de	de	X
esrj-65215	8	24	valores	valores	X
esrj-65215	8	25	atípicos	atípicos	PROPN
esrj-65215	8	26	sobre	sobre	PROPN
esrj-65215	8	27	series	series	PROPN
esrj-65215	8	28	de	de	PROPN
esrj-65215	8	29	tiempo	tiempo	PROPN
esrj-65215	8	30	variable	variable	ADJ
esrj-65215	8	31	en	en	ADP
esrj-65215	8	32	arhmm	arhmm	PROPN
esrj-65215	8	33	mejorado	mejorado	X
esrj-65215	8	34	durante	durante	PROPN
esrj-65215	8	35	el	el	PROPN
esrj-65215	8	36	proceso	proceso	PROPN
esrj-65215	8	37	de	de	PROPN
esrj-65215	8	38	análisis	análisis	PROPN
esrj-65215	8	39	de	de	X
esrj-65215	8	40	grado	grado	PROPN
esrj-65215	8	41	mineralógico	mineralógico	PROPN
esrj-65215	8	42	issn	issn	PROPN
esrj-65215	8	43	1794	1794	NUM
esrj-65215	8	44	-	-	SYM
esrj-65215	8	45	6190	6190	NUM
esrj-65215	8	46	e	e	NOUN
esrj-65215	8	47	-	-	NOUN
esrj-65215	8	48	issn	issn	PROPN
esrj-65215	8	49	2339	2339	NUM
esrj-65215	8	50	-	-	SYM
esrj-65215	8	51	3459	3459	NUM
esrj-65215	8	52	http://dx.doi.org/10.15446/esrj.v21n3.65215	http://dx.doi.org/10.15446/esrj.v21n3.65215	ADP
esrj-65215	8	53	jianjun	jianjun	PROPN
esrj-65215	8	54	zhaoa	zhaoa	PROPN
esrj-65215	8	55	,	,	PUNCT
esrj-65215	8	56	b	b	PROPN
esrj-65215	8	57	,	,	PUNCT
esrj-65215	8	58	junwu	junwu	ADJ
esrj-65215	8	59	zhoubb	zhoubb	PROPN
esrj-65215	8	60	,	,	PUNCT
esrj-65215	8	61	weixing	weixe	VERB
esrj-65215	8	62	suc	suc	PROPN
esrj-65215	8	63	*	*	NOUN
esrj-65215	8	64	,	,	PUNCT
esrj-65215	8	65	fang	fang	X
esrj-65215	8	66	liuc	liuc	X
esrj-65215	8	67	a	a	DET
esrj-65215	8	68	school	school	NOUN
esrj-65215	8	69	of	of	ADP
esrj-65215	8	70	information	information	NOUN
esrj-65215	8	71	science	science	PROPN
esrj-65215	8	72	&	&	CCONJ
esrj-65215	8	73	engineering	engineering	PROPN
esrj-65215	8	74	,	,	PUNCT
esrj-65215	8	75	northeastern	northeastern	ADJ
esrj-65215	8	76	university	university	PROPN
esrj-65215	8	77	,	,	PUNCT
esrj-65215	8	78	shenyang	shenyang	PROPN
esrj-65215	8	79	110004	110004	NUM
esrj-65215	8	80	,	,	PUNCT
esrj-65215	8	81	china	china	PROPN
esrj-65215	8	82	;	;	PUNCT
esrj-65215	8	83	b	b	PROPN
esrj-65215	8	84	beijing	beijing	PROPN
esrj-65215	8	85	general	general	PROPN
esrj-65215	8	86	research	research	PROPN
esrj-65215	8	87	institute	institute	PROPN
esrj-65215	8	88	of	of	ADP
esrj-65215	8	89	mining	mining	PROPN
esrj-65215	8	90	&	&	CCONJ
esrj-65215	8	91	metallurgy	metallurgy	PROPN
esrj-65215	8	92	,	,	PUNCT
esrj-65215	8	93	beijing	beijing	PROPN
esrj-65215	8	94	100160	100160	NUM
esrj-65215	8	95	,	,	PUNCT
esrj-65215	8	96	china	china	PROPN
esrj-65215	8	97	c	c	PROPN
esrj-65215	8	98	school	school	NOUN
esrj-65215	8	99	of	of	ADP
esrj-65215	8	100	computer	computer	NOUN
esrj-65215	8	101	science	science	PROPN
esrj-65215	8	102	&	&	CCONJ
esrj-65215	8	103	software	software	PROPN
esrj-65215	8	104	engineering	engineering	PROPN
esrj-65215	8	105	,	,	PUNCT
esrj-65215	8	106	tianjin	tianjin	PROPN
esrj-65215	8	107	polytechnic	polytechnic	PROPN
esrj-65215	8	108	university	university	PROPN
esrj-65215	8	109	,	,	PUNCT
esrj-65215	8	110	tianjin	tianjin	PROPN
esrj-65215	8	111	300387	300387	NUM
esrj-65215	8	112	,	,	PUNCT
esrj-65215	8	113	china	china	PROPN
esrj-65215	8	114	*	*	PUNCT
esrj-65215	8	115	email	email	NOUN
esrj-65215	8	116	of	of	ADP
esrj-65215	8	117	corresponding	corresponding	ADJ
esrj-65215	8	118	author	author	NOUN
esrj-65215	8	119	:	:	PUNCT
esrj-65215	8	120	15900201597@163.com	15900201597@163.com	NUM
esrj-65215	8	121	existe	existe	PROPN
esrj-65215	8	122	gran	gran	PROPN
esrj-65215	8	123	dificultad	dificultad	PROPN
esrj-65215	8	124	para	para	PROPN
esrj-65215	8	125	la	la	PROPN
esrj-65215	8	126	detección	detección	PROPN
esrj-65215	8	127	en	en	X
esrj-65215	8	128	tiempo	tiempo	PROPN
esrj-65215	8	129	real	real	PROPN
esrj-65215	8	130	para	para	PROPN
esrj-65215	8	131	series	series	PROPN
esrj-65215	8	132	de	de	PROPN
esrj-65215	8	133	datos	datos	PROPN
esrj-65215	8	134	masivos	masivos	PROPN
esrj-65215	8	135	con	con	PROPN
esrj-65215	8	136	altos	altos	PROPN
esrj-65215	8	137	niveles	nivele	NOUN
esrj-65215	8	138	de	de	X
esrj-65215	8	139	ruido	ruido	X
esrj-65215	8	140	de	de	PROPN
esrj-65215	8	141	valores	valore	NOUN
esrj-65215	8	142	atípicos	atípico	NOUN
esrj-65215	8	143	.	.	PUNCT
esrj-65215	9	1	se	se	PROPN
esrj-65215	9	2	propone	propone	PROPN
esrj-65215	9	3	un	un	PROPN
esrj-65215	9	4	algoritmo	algoritmo	PROPN
esrj-65215	9	5	de	de	PROPN
esrj-65215	9	6	autoaprendizaje	autoaprendizaje	PROPN
esrj-65215	9	7	arhmm	arhmm	NOUN
esrj-65215	9	8	(	(	PUNCT
esrj-65215	9	9	modelo	modelo	PROPN
esrj-65215	9	10	autoregresivo	autoregresivo	PROPN
esrj-65215	9	11	oculto	oculto	PROPN
esrj-65215	9	12	de	de	X
esrj-65215	9	13	markov	markov	PROPN
esrj-65215	9	14	)	)	PUNCT
esrj-65215	9	15	para	para	PROPN
esrj-65215	9	16	llevar	llevar	PROPN
esrj-65215	9	17	a	a	DET
esrj-65215	9	18	cabo	cabo	NOUN
esrj-65215	9	19	la	la	X
esrj-65215	9	20	detección	detección	PROPN
esrj-65215	9	21	de	de	PROPN
esrj-65215	9	22	dichos	dichos	PROPN
esrj-65215	9	23	valores	valores	PROPN
esrj-65215	9	24	atípicos	atípicos	PROPN
esrj-65215	9	25	en	en	PROPN
esrj-65215	9	26	el	el	PROPN
esrj-65215	9	27	proceso	proceso	PROPN
esrj-65215	9	28	de	de	PROPN
esrj-65215	9	29	análisis	análisis	PROPN
esrj-65215	9	30	del	del	PROPN
esrj-65215	9	31	grado	grado	NOUN
esrj-65215	9	32	mineral	mineral	NOUN
esrj-65215	9	33	geológico	geológico	NOUN
esrj-65215	9	34	.	.	PUNCT
esrj-65215	10	1	el	el	PROPN
esrj-65215	10	2	algoritmo	algoritmo	PROPN
esrj-65215	10	3	usa	usa	PROPN
esrj-65215	10	4	un	un	PROPN
esrj-65215	10	5	modelo	modelo	PROPN
esrj-65215	10	6	ar	ar	PROPN
esrj-65215	10	7	para	para	PROPN
esrj-65215	10	8	ajustar	ajustar	PROPN
esrj-65215	10	9	la	la	X
esrj-65215	10	10	serie	serie	X
esrj-65215	10	11	de	de	X
esrj-65215	10	12	tiempo	tiempo	PROPN
esrj-65215	10	13	obtenida	obtenida	PROPN
esrj-65215	10	14	del	del	PROPN
esrj-65215	10	15	“	"	PUNCT
esrj-65215	10	16	analizador	analizador	PROPN
esrj-65215	10	17	de	de	X
esrj-65215	10	18	fluorescencia	fluorescencia	X
esrj-65215	10	19	de	de	X
esrj-65215	10	20	rayos	rayos	X
esrj-65215	10	21	x	x	NOUN
esrj-65215	10	22	”	"	PUNCT
esrj-65215	10	23	y	y	PROPN
esrj-65215	10	24	hace	hace	PROPN
esrj-65215	10	25	uso	uso	PROPN
esrj-65215	10	26	del	del	PROPN
esrj-65215	10	27	hmm	hmm	PROPN
esrj-65215	10	28	como	como	PROPN
esrj-65215	10	29	una	una	PROPN
esrj-65215	10	30	herramienta	herramienta	PROPN
esrj-65215	10	31	básica	básica	PROPN
esrj-65215	10	32	de	de	PROPN
esrj-65215	10	33	detección	detección	PROPN
esrj-65215	10	34	,	,	PUNCT
esrj-65215	10	35	la	la	PROPN
esrj-65215	10	36	cual	cual	PROPN
esrj-65215	10	37	puede	puede	PROPN
esrj-65215	10	38	evitar	evitar	PROPN
esrj-65215	10	39	la	la	PROPN
esrj-65215	10	40	deficiencia	deficiencia	PROPN
esrj-65215	10	41	de	de	PROPN
esrj-65215	10	42	predeterminar	predeterminar	PROPN
esrj-65215	10	43	el	el	PROPN
esrj-65215	10	44	umbral	umbral	PROPN
esrj-65215	10	45	en	en	PROPN
esrj-65215	10	46	métodos	métodos	PROPN
esrj-65215	10	47	tradicionales	tradicionales	PROPN
esrj-65215	10	48	de	de	PROPN
esrj-65215	10	49	detección	detección	PROPN
esrj-65215	10	50	.	.	PUNCT
esrj-65215	11	1	para	para	PROPN
esrj-65215	11	2	actualizar	actualizar	PROPN
esrj-65215	11	3	los	los	PROPN
esrj-65215	11	4	parámetros	parámetros	PROPN
esrj-65215	11	5	del	del	PROPN
esrj-65215	11	6	arhmm	arhmm	PROPN
esrj-65215	11	7	en	en	PROPN
esrj-65215	11	8	tiempo	tiempo	PROPN
esrj-65215	11	9	real	real	ADJ
esrj-65215	11	10	,	,	PUNCT
esrj-65215	11	11	la	la	PROPN
esrj-65215	11	12	estructura	estructura	PROPN
esrj-65215	11	13	del	del	PROPN
esrj-65215	11	14	algoritmo	algoritmo	PROPN
esrj-65215	11	15	bdt	bdt	PROPN
esrj-65215	11	16	(	(	PUNCT
esrj-65215	11	17	brockwell	brockwell	PROPN
esrj-65215	11	18	-	-	PUNCT
esrj-65215	11	19	dahlhaus	dahlhaus	NOUN
esrj-65215	11	20	-	-	PUNCT
esrj-65215	11	21	trindade	trindade	VERB
esrj-65215	11	22	)	)	PUNCT
esrj-65215	11	23	tradicional	tradicional	PROPN
esrj-65215	11	24	se	se	PROPN
esrj-65215	11	25	mejora	mejora	PROPN
esrj-65215	11	26	para	para	PROPN
esrj-65215	11	27	ser	ser	PROPN
esrj-65215	12	1	una	una	PROPN
esrj-65215	12	2	doble	doble	PROPN
esrj-65215	12	3	estructura	estructura	PROPN
esrj-65215	12	4	iterativa	iterativa	PROPN
esrj-65215	12	5	en	en	X
esrj-65215	12	6	la	la	X
esrj-65215	12	7	que	que	PROPN
esrj-65215	12	8	se	se	PROPN
esrj-65215	12	9	aplica	aplica	PROPN
esrj-65215	12	10	el	el	PROPN
esrj-65215	12	11	cálculo	cálculo	PROPN
esrj-65215	12	12	iterativo	iterativo	PROPN
esrj-65215	12	13	en	en	PROPN
esrj-65215	12	14	tiempo	tiempo	PROPN
esrj-65215	12	15	y	y	PROPN
esrj-65215	12	16	en	en	PROPN
esrj-65215	12	17	orden	orden	PROPN
esrj-65215	12	18	respectivamente	respectivamente	PROPN
esrj-65215	12	19	.	.	PUNCT
esrj-65215	13	1	con	con	PROPN
esrj-65215	13	2	el	el	PROPN
esrj-65215	13	3	propósito	propósito	PROPN
esrj-65215	13	4	de	de	X
esrj-65215	13	5	reducir	reducir	PROPN
esrj-65215	13	6	la	la	PROPN
esrj-65215	13	7	influencia	influencia	PROPN
esrj-65215	13	8	de	de	PROPN
esrj-65215	13	9	valores	valores	PROPN
esrj-65215	13	10	atípicos	atípicos	PROPN
esrj-65215	13	11	(	(	PUNCT
esrj-65215	13	12	o	o	PROPN
esrj-65215	13	13	extremos	extremos	X
esrj-65215	13	14	)	)	PUNCT
esrj-65215	13	15	en	en	PROPN
esrj-65215	13	16	la	la	PROPN
esrj-65215	13	17	actualización	actualización	PROPN
esrj-65215	13	18	del	del	PROPN
esrj-65215	13	19	parámetro	parámetro	PROPN
esrj-65215	13	20	de	de	PROPN
esrj-65215	13	21	arhmm	arhmm	PROPN
esrj-65215	13	22	,	,	PUNCT
esrj-65215	13	23	se	se	X
esrj-65215	13	24	adoptan	adoptan	PROPN
esrj-65215	13	25	las	las	PROPN
esrj-65215	13	26	estrategias	estrategias	PROPN
esrj-65215	13	27	de	de	PROPN
esrj-65215	13	28	detección	detección	PROPN
esrj-65215	13	29	-	-	PUNCT
esrj-65215	13	30	antes	ante	NOUN
esrj-65215	13	31	-	-	PUNCT
esrj-65215	13	32	que	que	X
esrj-65215	13	33	-	-	PUNCT
esrj-65215	13	34	actualización	actualización	PROPN
esrj-65215	13	35	y	y	PROPN
esrj-65215	13	36	la	la	PROPN
esrj-65215	13	37	detección	detección	PROPN
esrj-65215	13	38	-	-	PUNCT
esrj-65215	13	39	basada	basada	PROPN
esrj-65215	13	40	-	-	PUNCT
esrj-65215	13	41	en	en	NOUN
esrj-65215	13	42	-	-	PUNCT
esrj-65215	13	43	actualización	actualización	NOUN
esrj-65215	13	44	,	,	PUNCT
esrj-65215	13	45	lo	lo	PROPN
esrj-65215	13	46	que	que	PROPN
esrj-65215	13	47	también	también	PROPN
esrj-65215	13	48	aumenta	aumenta	PROPN
esrj-65215	13	49	la	la	PROPN
esrj-65215	13	50	robustez	robustez	PROPN
esrj-65215	13	51	del	del	X
esrj-65215	13	52	algoritmo	algoritmo	PROPN
esrj-65215	13	53	.	.	PUNCT
esrj-65215	14	1	la	la	PROPN
esrj-65215	14	2	subsiguiente	subsiguiente	PROPN
esrj-65215	14	3	simulación	simulación	PROPN
esrj-65215	14	4	por	por	PROPN
esrj-65215	14	5	modelos	modelos	PROPN
esrj-65215	14	6	de	de	PROPN
esrj-65215	14	7	datos	datos	PROPN
esrj-65215	14	8	y	y	PROPN
esrj-65215	14	9	aplicación	aplicación	PROPN
esrj-65215	14	10	práctica	práctica	PROPN
esrj-65215	14	11	comprueba	comprueba	PROPN
esrj-65215	14	12	la	la	X
esrj-65215	14	13	precisión	precisión	PROPN
esrj-65215	14	14	,	,	PUNCT
esrj-65215	14	15	fortaleza	fortaleza	PROPN
esrj-65215	14	16	y	y	PROPN
esrj-65215	14	17	capacidad	capacidad	PROPN
esrj-65215	14	18	de	de	PROPN
esrj-65215	14	19	la	la	X
esrj-65215	14	20	detección	detección	PROPN
esrj-65215	14	21	en	en	PROPN
esrj-65215	14	22	línea	línea	PROPN
esrj-65215	14	23	del	del	PROPN
esrj-65215	14	24	algoritmo	algoritmo	PROPN
esrj-65215	14	25	.	.	PUNCT
esrj-65215	15	1	de	de	PROPN
esrj-65215	15	2	acuerdo	acuerdo	PROPN
esrj-65215	15	3	con	con	PROPN
esrj-65215	15	4	el	el	PROPN
esrj-65215	15	5	resultado	resultado	PROPN
esrj-65215	15	6	,	,	PUNCT
esrj-65215	15	7	es	es	X
esrj-65215	15	8	evidente	evidente	PROPN
esrj-65215	15	9	que	que	PROPN
esrj-65215	15	10	el	el	PROPN
esrj-65215	15	11	nuevo	nuevo	PROPN
esrj-65215	15	12	algoritmo	algoritmo	PROPN
esrj-65215	15	13	propuesto	propuesto	PROPN
esrj-65215	15	14	en	en	X
esrj-65215	15	15	este	este	X
esrj-65215	15	16	artículo	artículo	PROPN
esrj-65215	15	17	es	es	X
esrj-65215	15	18	más	más	PROPN
esrj-65215	15	19	apropiado	apropiado	PROPN
esrj-65215	15	20	para	para	PROPN
esrj-65215	15	21	la	la	PROPN
esrj-65215	15	22	detección	detección	PROPN
esrj-65215	15	23	de	de	X
esrj-65215	15	24	datos	datos	X
esrj-65215	15	25	de	de	PROPN
esrj-65215	15	26	valores	valores	X
esrj-65215	15	27	atipicos	atipicos	PROPN
esrj-65215	15	28	para	para	PROPN
esrj-65215	15	29	el	el	PROPN
esrj-65215	15	30	análisis	análisis	PROPN
esrj-65215	15	31	del	del	PROPN
esrj-65215	15	32	grado	grado	NOUN
esrj-65215	15	33	mineral	mineral	NOUN
esrj-65215	15	34	en	en	ADP
esrj-65215	15	35	geología	geología	PROPN
esrj-65215	15	36	y	y	PROPN
esrj-65215	15	37	el	el	PROPN
esrj-65215	15	38	procesamiento	procesamiento	PROPN
esrj-65215	15	39	mineral	mineral	NOUN
esrj-65215	15	40	.	.	PUNCT
esrj-65215	16	1	resumen	resumen	PROPN
esrj-65215	16	2	palabras	palabras	PROPN
esrj-65215	16	3	clave	clave	PROPN
esrj-65215	16	4	:	:	PUNCT
esrj-65215	16	5	modelo	modelo	PROPN
esrj-65215	16	6	autoregresivo	autoregresivo	PROPN
esrj-65215	16	7	oculto	oculto	PROPN
esrj-65215	16	8	de	de	X
esrj-65215	16	9	markov	markov	PROPN
esrj-65215	16	10	;	;	PUNCT
esrj-65215	16	11	detección	detección	PROPN
esrj-65215	16	12	en	en	X
esrj-65215	16	13	tiempo	tiempo	PROPN
esrj-65215	16	14	real	real	ADJ
esrj-65215	16	15	;	;	PUNCT
esrj-65215	16	16	brockwelldahlhaus	brockwelldahlhaus	NOUN
esrj-65215	16	17	-	-	PUNCT
esrj-65215	16	18	trindade	trindade	VERB
esrj-65215	16	19	.	.	PUNCT
esrj-65215	17	1	record	record	NOUN
esrj-65215	17	2	manuscript	manuscript	NOUN
esrj-65215	17	3	received	receive	VERB
esrj-65215	17	4	:	:	PUNCT
esrj-65215	17	5	21/02/2017	21/02/2017	NUM
esrj-65215	17	6	accepted	accept	VERB
esrj-65215	17	7	for	for	ADP
esrj-65215	17	8	publication	publication	NOUN
esrj-65215	17	9	:	:	PUNCT
esrj-65215	17	10	28/07/2017	28/07/2017	NUM
esrj-65215	17	11	how	how	SCONJ
esrj-65215	17	12	to	to	PART
esrj-65215	17	13	cite	cite	VERB
esrj-65215	17	14	item	item	PROPN
esrj-65215	17	15	zhao	zhao	PROPN
esrj-65215	17	16	,	,	PUNCT
esrj-65215	17	17	j.	j.	PROPN
esrj-65215	17	18	,	,	PUNCT
esrj-65215	17	19	zhou	zhou	PROPN
esrj-65215	17	20	,	,	PUNCT
esrj-65215	17	21	j.	j.	PROPN
esrj-65215	17	22	,	,	PUNCT
esrj-65215	17	23	su	su	PROPN
esrj-65215	17	24	,	,	PUNCT
esrj-65215	17	25	w.	w.	PROPN
esrj-65215	17	26	,	,	PUNCT
esrj-65215	17	27	&	&	CCONJ
esrj-65215	17	28	liu	liu	PROPN
esrj-65215	17	29	,	,	PUNCT
esrj-65215	17	30	f.	f.	PROPN
esrj-65215	17	31	(	(	PUNCT
esrj-65215	17	32	2017	2017	NUM
esrj-65215	17	33	)	)	PUNCT
esrj-65215	17	34	.	.	PUNCT
esrj-65215	18	1	online	online	ADJ
esrj-65215	18	2	outlier	outlier	NOUN
esrj-65215	18	3	detection	detection	NOUN
esrj-65215	18	4	for	for	ADP
esrj-65215	18	5	time	time	NOUN
esrj-65215	18	6	-	-	PUNCT
esrj-65215	18	7	varying	vary	VERB
esrj-65215	18	8	time	time	NOUN
esrj-65215	18	9	series	series	NOUN
esrj-65215	18	10	on	on	ADP
esrj-65215	18	11	improved	improved	ADJ
esrj-65215	18	12	arhmm	arhmm	NOUN
esrj-65215	18	13	in	in	ADP
esrj-65215	18	14	geological	geological	ADJ
esrj-65215	18	15	mineral	mineral	NOUN
esrj-65215	18	16	grade	grade	NOUN
esrj-65215	18	17	analysis	analysis	NOUN
esrj-65215	18	18	process	process	NOUN
esrj-65215	18	19	.	.	PUNCT
esrj-65215	19	1	earth	earth	NOUN
esrj-65215	19	2	sciences	sciences	PROPN
esrj-65215	19	3	research	research	PROPN
esrj-65215	19	4	journal	journal	PROPN
esrj-65215	19	5	,	,	PUNCT
esrj-65215	19	6	21(3	21(3	NUM
esrj-65215	19	7	)	)	PUNCT
esrj-65215	19	8	,	,	PUNCT
esrj-65215	19	9	135	135	NUM
esrj-65215	19	10	-	-	SYM
esrj-65215	19	11	139	139	NUM
esrj-65215	19	12	.	.	PUNCT
esrj-65215	20	1	doi	doi	NOUN
esrj-65215	20	2	:	:	PUNCT
esrj-65215	20	3	http://dx.doi.org/10.15446/esrj.v21n3.65215	http://dx.doi.org/10.15446/esrj.v21n3.65215	VERB
esrj-65215	20	4	g	g	PROPN
esrj-65215	20	5	e	e	PROPN
esrj-65215	20	6	o	o	PROPN
esrj-65215	20	7	st	st	PROPN
esrj-65215	20	8	at	at	ADP
esrj-65215	20	9	is	be	AUX
esrj-65215	20	10	t	t	PROPN
esrj-65215	20	11	ic	ic	PROPN
esrj-65215	20	12	s	s	PROPN
esrj-65215	20	13	earth	earth	NOUN
esrj-65215	20	14	sciences	sciences	PROPN
esrj-65215	20	15	research	research	PROPN
esrj-65215	20	16	journal	journal	PROPN
esrj-65215	20	17	earth	earth	PROPN
esrj-65215	20	18	sci	sci	PROPN
esrj-65215	20	19	.	.	PUNCT
esrj-65215	21	1	res	res	PROPN
esrj-65215	21	2	.	.	PUNCT
esrj-65215	22	1	j.	j.	PROPN
esrj-65215	22	2	vol	vol	PROPN
esrj-65215	22	3	.	.	PROPN
esrj-65215	23	1	21	21	NUM
esrj-65215	23	2	,	,	PUNCT
esrj-65215	23	3	no	no	INTJ
esrj-65215	23	4	.	.	NOUN
esrj-65215	23	5	3	3	NUM
esrj-65215	23	6	(	(	PUNCT
esrj-65215	23	7	september	september	PROPN
esrj-65215	23	8	,	,	PUNCT
esrj-65215	23	9	2017	2017	NUM
esrj-65215	23	10	):	):	PUNCT
esrj-65215	23	11	135	135	NUM
esrj-65215	23	12	139	139	NUM
esrj-65215	23	13	136	136	NUM
esrj-65215	23	14	jianjun	jianjun	PROPN
esrj-65215	23	15	zhao	zhao	PROPN
esrj-65215	23	16	,	,	PUNCT
esrj-65215	23	17	junwu	junwu	PROPN
esrj-65215	23	18	zhou	zhou	PROPN
esrj-65215	23	19	,	,	PUNCT
esrj-65215	23	20	weixing	weixe	VERB
esrj-65215	23	21	su	su	PROPN
esrj-65215	23	22	,	,	PUNCT
esrj-65215	23	23	fang	fang	PROPN
esrj-65215	23	24	liu	liu	PROPN
esrj-65215	23	25	introduction	introduction	NOUN
esrj-65215	23	26	mineral	mineral	NOUN
esrj-65215	23	27	composition	composition	NOUN
esrj-65215	23	28	analysis	analysis	NOUN
esrj-65215	23	29	is	be	AUX
esrj-65215	23	30	a	a	DET
esrj-65215	23	31	key	key	ADJ
esrj-65215	23	32	factor	factor	NOUN
esrj-65215	23	33	in	in	ADP
esrj-65215	23	34	determining	determine	VERB
esrj-65215	23	35	whether	whether	SCONJ
esrj-65215	23	36	or	or	CCONJ
esrj-65215	23	37	not	not	PART
esrj-65215	23	38	to	to	PART
esrj-65215	23	39	carry	carry	VERB
esrj-65215	23	40	out	out	ADP
esrj-65215	23	41	mining	mining	NOUN
esrj-65215	23	42	.	.	PUNCT
esrj-65215	24	1	over	over	ADP
esrj-65215	24	2	the	the	DET
esrj-65215	24	3	years	year	NOUN
esrj-65215	24	4	,	,	PUNCT
esrj-65215	24	5	many	many	ADJ
esrj-65215	24	6	scholars	scholar	NOUN
esrj-65215	24	7	have	have	AUX
esrj-65215	24	8	proposed	propose	VERB
esrj-65215	24	9	some	some	DET
esrj-65215	24	10	new	new	ADJ
esrj-65215	24	11	ideas	idea	NOUN
esrj-65215	24	12	and	and	CCONJ
esrj-65215	24	13	methods	method	NOUN
esrj-65215	24	14	for	for	ADP
esrj-65215	24	15	accurate	accurate	ADJ
esrj-65215	24	16	mineral	mineral	NOUN
esrj-65215	24	17	grade	grade	NOUN
esrj-65215	24	18	assessment	assessment	NOUN
esrj-65215	24	19	,	,	PUNCT
esrj-65215	24	20	many	many	ADJ
esrj-65215	24	21	of	of	ADP
esrj-65215	24	22	which	which	PRON
esrj-65215	24	23	are	be	AUX
esrj-65215	24	24	based	base	VERB
esrj-65215	24	25	on	on	ADP
esrj-65215	24	26	chemical	chemical	NOUN
esrj-65215	24	27	or	or	CCONJ
esrj-65215	24	28	physical	physical	ADJ
esrj-65215	24	29	test	test	NOUN
esrj-65215	24	30	equipment	equipment	NOUN
esrj-65215	24	31	to	to	PART
esrj-65215	24	32	obtain	obtain	VERB
esrj-65215	24	33	the	the	DET
esrj-65215	24	34	data	datum	NOUN
esrj-65215	24	35	for	for	ADP
esrj-65215	24	36	ingredient	ingredient	NOUN
esrj-65215	24	37	grade	grade	NOUN
esrj-65215	24	38	analysis	analysis	NOUN
esrj-65215	24	39	(	(	PUNCT
esrj-65215	24	40	kameshwara	kameshwara	NOUN
esrj-65215	24	41	,	,	PUNCT
esrj-65215	24	42	rao	rao	PROPN
esrj-65215	24	43	,	,	PUNCT
esrj-65215	24	44	&	&	CCONJ
esrj-65215	24	45	narayana	narayana	PROPN
esrj-65215	24	46	,	,	PUNCT
esrj-65215	24	47	2014	2014	NUM
esrj-65215	24	48	;	;	PUNCT
esrj-65215	24	49	de'nan	de'nan	PROPN
esrj-65215	24	50	,	,	PUNCT
esrj-65215	24	51	naaim	naaim	NOUN
esrj-65215	24	52	,	,	PUNCT
esrj-65215	24	53	&	&	CCONJ
esrj-65215	24	54	leong	leong	PROPN
esrj-65215	24	55	,	,	PUNCT
esrj-65215	24	56	2017	2017	NUM
esrj-65215	24	57	)	)	PUNCT
esrj-65215	24	58	.	.	PUNCT
esrj-65215	25	1	therefore	therefore	ADV
esrj-65215	25	2	,	,	PUNCT
esrj-65215	25	3	the	the	DET
esrj-65215	25	4	accuracy	accuracy	NOUN
esrj-65215	25	5	of	of	ADP
esrj-65215	25	6	the	the	DET
esrj-65215	25	7	data	datum	NOUN
esrj-65215	25	8	used	use	VERB
esrj-65215	25	9	for	for	ADP
esrj-65215	25	10	ore	ore	NOUN
esrj-65215	25	11	composition	composition	NOUN
esrj-65215	25	12	analysis	analysis	NOUN
esrj-65215	25	13	is	be	AUX
esrj-65215	25	14	critical	critical	ADJ
esrj-65215	25	15	to	to	ADP
esrj-65215	25	16	the	the	DET
esrj-65215	25	17	ore	ore	NOUN
esrj-65215	25	18	grade	grade	NOUN
esrj-65215	25	19	analysis	analysis	NOUN
esrj-65215	25	20	.	.	PUNCT
esrj-65215	26	1	at	at	ADP
esrj-65215	26	2	present	present	ADJ
esrj-65215	26	3	,	,	PUNCT
esrj-65215	26	4	automated	automate	VERB
esrj-65215	26	5	testing	testing	NOUN
esrj-65215	26	6	equipment	equipment	NOUN
esrj-65215	26	7	is	be	AUX
esrj-65215	26	8	used	use	VERB
esrj-65215	26	9	in	in	ADP
esrj-65215	26	10	ore	ore	NOUN
esrj-65215	26	11	grade	grade	NOUN
esrj-65215	26	12	analysis	analysis	NOUN
esrj-65215	26	13	,	,	PUNCT
esrj-65215	26	14	such	such	ADJ
esrj-65215	26	15	as	as	ADP
esrj-65215	26	16	“	"	PUNCT
esrj-65215	26	17	box	box	NOUN
esrj-65215	26	18	-	-	PUNCT
esrj-65215	26	19	a	a	DET
esrj-65215	26	20	type	type	NOUN
esrj-65215	26	21	on	on	ADP
esrj-65215	26	22	-	-	PUNCT
esrj-65215	26	23	stream	stream	NOUN
esrj-65215	26	24	x	x	NOUN
esrj-65215	26	25	-	-	NOUN
esrj-65215	26	26	ray	ray	NOUN
esrj-65215	26	27	fluorescence	fluorescence	NOUN
esrj-65215	26	28	analyzer	analyzer	NOUN
esrj-65215	26	29	”	"	PUNCT
esrj-65215	26	30	,	,	PUNCT
esrj-65215	26	31	which	which	PRON
esrj-65215	26	32	uses	use	VERB
esrj-65215	26	33	spectral	spectral	ADJ
esrj-65215	26	34	obtain	obtain	NOUN
esrj-65215	26	35	by	by	ADP
esrj-65215	26	36	irradiating	irradiate	VERB
esrj-65215	26	37	x	x	NOUN
esrj-65215	26	38	-	-	NOUN
esrj-65215	26	39	rays	ray	NOUN
esrj-65215	26	40	to	to	ADP
esrj-65215	26	41	the	the	DET
esrj-65215	26	42	pulp	pulp	NOUN
esrj-65215	26	43	to	to	PART
esrj-65215	26	44	get	get	VERB
esrj-65215	26	45	the	the	DET
esrj-65215	26	46	results	result	NOUN
esrj-65215	26	47	of	of	ADP
esrj-65215	26	48	ore	ore	NOUN
esrj-65215	26	49	grade	grade	NOUN
esrj-65215	26	50	.	.	PUNCT
esrj-65215	27	1	it	it	PRON
esrj-65215	27	2	is	be	AUX
esrj-65215	27	3	worth	worth	ADJ
esrj-65215	27	4	noting	note	VERB
esrj-65215	27	5	that	that	SCONJ
esrj-65215	27	6	box	box	NOUN
esrj-65215	27	7	-	-	PUNCT
esrj-65215	27	8	a	a	DET
esrj-65215	27	9	type	type	NOUN
esrj-65215	27	10	on	on	ADP
esrj-65215	27	11	-	-	PUNCT
esrj-65215	27	12	stream	stream	NOUN
esrj-65215	27	13	x	x	NOUN
esrj-65215	27	14	-	-	NOUN
esrj-65215	27	15	ray	ray	NOUN
esrj-65215	27	16	fluorescence	fluorescence	NOUN
esrj-65215	27	17	analyzer	analyzer	NOUN
esrj-65215	27	18	by	by	ADP
esrj-65215	27	19	default	default	NOUN
esrj-65215	27	20	is	be	AUX
esrj-65215	27	21	that	that	SCONJ
esrj-65215	27	22	the	the	DET
esrj-65215	27	23	spectral	spectral	ADJ
esrj-65215	27	24	data	datum	NOUN
esrj-65215	27	25	obtained	obtain	VERB
esrj-65215	27	26	is	be	AUX
esrj-65215	27	27	correct	correct	ADJ
esrj-65215	27	28	.	.	PUNCT
esrj-65215	28	1	but	but	CCONJ
esrj-65215	28	2	whether	whether	SCONJ
esrj-65215	28	3	it	it	PRON
esrj-65215	28	4	is	be	AUX
esrj-65215	28	5	chemical	chemical	ADJ
esrj-65215	28	6	or	or	CCONJ
esrj-65215	28	7	physical	physical	ADJ
esrj-65215	28	8	testing	testing	NOUN
esrj-65215	28	9	equipment	equipment	NOUN
esrj-65215	28	10	are	be	AUX
esrj-65215	28	11	inevitably	inevitably	ADV
esrj-65215	28	12	produced	produce	VERB
esrj-65215	28	13	abnormal	abnormal	ADJ
esrj-65215	28	14	data	datum	NOUN
esrj-65215	28	15	.	.	PUNCT
esrj-65215	29	1	those	those	DET
esrj-65215	29	2	outliers	outlier	NOUN
esrj-65215	29	3	directly	directly	ADV
esrj-65215	29	4	affect	affect	VERB
esrj-65215	29	5	the	the	DET
esrj-65215	29	6	analysis	analysis	NOUN
esrj-65215	29	7	results	result	NOUN
esrj-65215	29	8	of	of	ADP
esrj-65215	29	9	the	the	DET
esrj-65215	29	10	mineral	mineral	NOUN
esrj-65215	29	11	products	product	NOUN
esrj-65215	29	12	analysiser	analysiser	NOUN
esrj-65215	29	13	(	(	PUNCT
esrj-65215	29	14	clarke	clarke	PROPN
esrj-65215	29	15	,	,	PUNCT
esrj-65215	29	16	&	&	CCONJ
esrj-65215	29	17	levis	levis	PROPN
esrj-65215	29	18	,	,	PUNCT
esrj-65215	29	19	1998	1998	NUM
esrj-65215	29	20	;	;	PUNCT
esrj-65215	29	21	rivoirard	rivoirard	NOUN
esrj-65215	29	22	,	,	PUNCT
esrj-65215	29	23	demange	demange	NOUN
esrj-65215	29	24	,	,	PUNCT
esrj-65215	29	25	&	&	CCONJ
esrj-65215	29	26	freulon	freulon	PROPN
esrj-65215	29	27	,	,	PUNCT
esrj-65215	29	28	2013	2013	NUM
esrj-65215	29	29	)	)	PUNCT
esrj-65215	29	30	.	.	PUNCT
esrj-65215	30	1	therefore	therefore	ADV
esrj-65215	30	2	,	,	PUNCT
esrj-65215	30	3	the	the	DET
esrj-65215	30	4	detection	detection	NOUN
esrj-65215	30	5	and	and	CCONJ
esrj-65215	30	6	elimination	elimination	NOUN
esrj-65215	30	7	of	of	ADP
esrj-65215	30	8	these	these	DET
esrj-65215	30	9	abnormal	abnormal	ADJ
esrj-65215	30	10	data	datum	NOUN
esrj-65215	30	11	is	be	AUX
esrj-65215	30	12	the	the	DET
esrj-65215	30	13	premise	premise	NOUN
esrj-65215	30	14	and	and	CCONJ
esrj-65215	30	15	key	key	NOUN
esrj-65215	30	16	to	to	ADP
esrj-65215	30	17	the	the	DET
esrj-65215	30	18	above	above	ADJ
esrj-65215	30	19	ore	ore	NOUN
esrj-65215	30	20	grade	grade	NOUN
esrj-65215	30	21	analysis	analysis	NOUN
esrj-65215	30	22	work	work	NOUN
esrj-65215	30	23	.	.	PUNCT
esrj-65215	31	1	a	a	DET
esrj-65215	31	2	new	new	ADJ
esrj-65215	31	3	algorithm	algorithm	NOUN
esrj-65215	31	4	is	be	AUX
esrj-65215	31	5	proposed	propose	VERB
esrj-65215	31	6	here	here	ADV
esrj-65215	31	7	to	to	PART
esrj-65215	31	8	especially	especially	ADV
esrj-65215	31	9	do	do	VERB
esrj-65215	31	10	outlier	outlier	NOUN
esrj-65215	31	11	detection	detection	NOUN
esrj-65215	31	12	for	for	ADP
esrj-65215	31	13	ore	ore	NOUN
esrj-65215	31	14	inspection	inspection	NOUN
esrj-65215	31	15	data	datum	NOUN
esrj-65215	31	16	which	which	PRON
esrj-65215	31	17	obtain	obtain	VERB
esrj-65215	31	18	from	from	ADP
esrj-65215	31	19	chemical	chemical	NOUN
esrj-65215	31	20	or	or	CCONJ
esrj-65215	31	21	physical	physical	ADJ
esrj-65215	31	22	testing	testing	NOUN
esrj-65215	31	23	equipment	equipment	NOUN
esrj-65215	31	24	.	.	PUNCT
esrj-65215	32	1	the	the	DET
esrj-65215	32	2	algorithm	algorithm	NOUN
esrj-65215	32	3	utilizes	utilize	VERB
esrj-65215	32	4	ar	ar	PROPN
esrj-65215	32	5	model	model	NOUN
esrj-65215	32	6	to	to	PART
esrj-65215	32	7	fit	fit	VERB
esrj-65215	32	8	the	the	DET
esrj-65215	32	9	time	time	NOUN
esrj-65215	32	10	series	series	NOUN
esrj-65215	32	11	and	and	CCONJ
esrj-65215	32	12	makes	make	VERB
esrj-65215	32	13	use	use	NOUN
esrj-65215	32	14	of	of	ADP
esrj-65215	32	15	hmm	hmm	INTJ
esrj-65215	32	16	as	as	ADP
esrj-65215	32	17	a	a	DET
esrj-65215	32	18	basic	basic	ADJ
esrj-65215	32	19	detection	detection	NOUN
esrj-65215	32	20	tool	tool	NOUN
esrj-65215	32	21	,	,	PUNCT
esrj-65215	32	22	which	which	PRON
esrj-65215	32	23	can	can	AUX
esrj-65215	32	24	avoid	avoid	VERB
esrj-65215	32	25	the	the	DET
esrj-65215	32	26	deficiency	deficiency	NOUN
esrj-65215	32	27	of	of	ADP
esrj-65215	32	28	presetting	presette	VERB
esrj-65215	32	29	the	the	DET
esrj-65215	32	30	threshold	threshold	NOUN
esrj-65215	32	31	in	in	ADP
esrj-65215	32	32	traditional	traditional	ADJ
esrj-65215	32	33	detection	detection	NOUN
esrj-65215	32	34	methods	method	NOUN
esrj-65215	32	35	.	.	PUNCT
esrj-65215	33	1	to	to	PART
esrj-65215	33	2	update	update	VERB
esrj-65215	33	3	parameters	parameter	NOUN
esrj-65215	33	4	of	of	ADP
esrj-65215	33	5	arhmm	arhmm	PROPN
esrj-65215	33	6	online	online	ADV
esrj-65215	33	7	,	,	PUNCT
esrj-65215	33	8	the	the	DET
esrj-65215	33	9	structure	structure	NOUN
esrj-65215	33	10	of	of	ADP
esrj-65215	33	11	traditional	traditional	ADJ
esrj-65215	33	12	bdt	bdt	NOUN
esrj-65215	33	13	(	(	PUNCT
esrj-65215	33	14	brockwell	brockwell	PROPN
esrj-65215	33	15	-	-	PUNCT
esrj-65215	33	16	dahlhaus	dahlhaus	NOUN
esrj-65215	33	17	-	-	PUNCT
esrj-65215	33	18	trindade	trindade	VERB
esrj-65215	33	19	)	)	PUNCT
esrj-65215	33	20	algorithm	algorithm	NOUN
esrj-65215	33	21	is	be	AUX
esrj-65215	33	22	improved	improve	VERB
esrj-65215	33	23	here	here	ADV
esrj-65215	33	24	,	,	PUNCT
esrj-65215	33	25	and	and	CCONJ
esrj-65215	33	26	a	a	DET
esrj-65215	33	27	double	double	ADJ
esrj-65215	33	28	iterative	iterative	NOUN
esrj-65215	33	29	structure	structure	NOUN
esrj-65215	33	30	in	in	ADP
esrj-65215	33	31	which	which	PRON
esrj-65215	33	32	iterative	iterative	NOUN
esrj-65215	33	33	calculation	calculation	NOUN
esrj-65215	33	34	from	from	ADP
esrj-65215	33	35	both	both	DET
esrj-65215	33	36	time	time	NOUN
esrj-65215	33	37	and	and	CCONJ
esrj-65215	33	38	order	order	NOUN
esrj-65215	33	39	is	be	AUX
esrj-65215	33	40	applied	apply	VERB
esrj-65215	33	41	respectively	respectively	ADV
esrj-65215	33	42	.	.	PUNCT
esrj-65215	34	1	with	with	ADP
esrj-65215	34	2	the	the	DET
esrj-65215	34	3	purpose	purpose	NOUN
esrj-65215	34	4	of	of	ADP
esrj-65215	34	5	reducing	reduce	VERB
esrj-65215	34	6	the	the	DET
esrj-65215	34	7	influence	influence	NOUN
esrj-65215	34	8	of	of	ADP
esrj-65215	34	9	outlier	outlier	NOUN
esrj-65215	34	10	on	on	ADP
esrj-65215	34	11	parameter	parameter	NOUN
esrj-65215	34	12	update	update	NOUN
esrj-65215	34	13	of	of	ADP
esrj-65215	34	14	arhmm	arhmm	NOUN
esrj-65215	34	15	,	,	PUNCT
esrj-65215	34	16	the	the	DET
esrj-65215	34	17	strategies	strategy	NOUN
esrj-65215	34	18	of	of	ADP
esrj-65215	34	19	detection	detection	NOUN
esrj-65215	34	20	-	-	PUNCT
esrj-65215	34	21	before	before	ADP
esrj-65215	34	22	-	-	PUNCT
esrj-65215	34	23	update	update	NOUN
esrj-65215	34	24	and	and	CCONJ
esrj-65215	34	25	detection	detection	NOUN
esrj-65215	34	26	-	-	PUNCT
esrj-65215	34	27	based	base	VERB
esrj-65215	34	28	-	-	PUNCT
esrj-65215	34	29	update	update	NOUN
esrj-65215	34	30	are	be	AUX
esrj-65215	34	31	adopted	adopt	VERB
esrj-65215	34	32	,	,	PUNCT
esrj-65215	34	33	which	which	PRON
esrj-65215	34	34	also	also	ADV
esrj-65215	34	35	improve	improve	VERB
esrj-65215	34	36	the	the	DET
esrj-65215	34	37	robustness	robustness	NOUN
esrj-65215	34	38	of	of	ADP
esrj-65215	34	39	the	the	DET
esrj-65215	34	40	algorithm	algorithm	NOUN
esrj-65215	34	41	.	.	PUNCT
esrj-65215	35	1	subsequent	subsequent	ADJ
esrj-65215	35	2	simulation	simulation	NOUN
esrj-65215	35	3	by	by	ADP
esrj-65215	35	4	model	model	NOUN
esrj-65215	35	5	data	datum	NOUN
esrj-65215	35	6	and	and	CCONJ
esrj-65215	35	7	practical	practical	ADJ
esrj-65215	35	8	application	application	NOUN
esrj-65215	35	9	verify	verify	VERB
esrj-65215	35	10	the	the	DET
esrj-65215	35	11	accuracy	accuracy	NOUN
esrj-65215	35	12	,	,	PUNCT
esrj-65215	35	13	robustness	robustness	NOUN
esrj-65215	35	14	,	,	PUNCT
esrj-65215	35	15	and	and	CCONJ
esrj-65215	35	16	property	property	NOUN
esrj-65215	35	17	of	of	ADP
esrj-65215	35	18	online	online	ADJ
esrj-65215	35	19	detection	detection	NOUN
esrj-65215	35	20	of	of	ADP
esrj-65215	35	21	the	the	DET
esrj-65215	35	22	algorithm	algorithm	NOUN
esrj-65215	35	23	.	.	PUNCT
esrj-65215	36	1	in	in	ADP
esrj-65215	36	2	this	this	DET
esrj-65215	36	3	paper	paper	NOUN
esrj-65215	36	4	our	our	PRON
esrj-65215	36	5	innovations	innovation	NOUN
esrj-65215	36	6	are	be	AUX
esrj-65215	36	7	shown	show	VERB
esrj-65215	36	8	as	as	ADP
esrj-65215	36	9	follow	follow	NOUN
esrj-65215	36	10	:	:	PUNCT
esrj-65215	36	11	1	1	X
esrj-65215	36	12	.	.	X
esrj-65215	37	1	unlike	unlike	ADP
esrj-65215	37	2	other	other	ADJ
esrj-65215	37	3	outlier	outlier	NOUN
esrj-65215	37	4	detect	detect	NOUN
esrj-65215	37	5	method	method	NOUN
esrj-65215	37	6	(	(	PUNCT
esrj-65215	37	7	such	such	ADJ
esrj-65215	37	8	as	as	ADP
esrj-65215	37	9	the	the	DET
esrj-65215	37	10	traditional	traditional	ADJ
esrj-65215	37	11	ar	ar	NOUN
esrj-65215	37	12	model	model	NOUN
esrj-65215	37	13	detection	detection	NOUN
esrj-65215	37	14	method	method	NOUN
esrj-65215	37	15	)	)	PUNCT
esrj-65215	37	16	,	,	PUNCT
esrj-65215	37	17	the	the	DET
esrj-65215	37	18	outliers	outlier	NOUN
esrj-65215	37	19	detect	detect	VERB
esrj-65215	37	20	method	method	NOUN
esrj-65215	37	21	proposed	propose	VERB
esrj-65215	37	22	in	in	ADP
esrj-65215	37	23	this	this	DET
esrj-65215	37	24	paper	paper	NOUN
esrj-65215	37	25	does	do	AUX
esrj-65215	37	26	not	not	PART
esrj-65215	37	27	need	need	VERB
esrj-65215	37	28	to	to	PART
esrj-65215	37	29	set	set	VERB
esrj-65215	37	30	the	the	DET
esrj-65215	37	31	detection	detection	NOUN
esrj-65215	37	32	threshold	threshold	NOUN
esrj-65215	37	33	.	.	PUNCT
esrj-65215	38	1	2	2	X
esrj-65215	38	2	.	.	X
esrj-65215	38	3	considering	consider	VERB
esrj-65215	38	4	the	the	DET
esrj-65215	38	5	problem	problem	NOUN
esrj-65215	38	6	that	that	PRON
esrj-65215	38	7	the	the	DET
esrj-65215	38	8	model	model	NOUN
esrj-65215	38	9	order	order	NOUN
esrj-65215	38	10	of	of	ADP
esrj-65215	38	11	chemical	chemical	ADJ
esrj-65215	38	12	or	or	CCONJ
esrj-65215	38	13	physical	physical	ADJ
esrj-65215	38	14	testing	testing	NOUN
esrj-65215	38	15	equipment	equipment	NOUN
esrj-65215	38	16	’s	’s	PART
esrj-65215	38	17	hard	hard	ADJ
esrj-65215	38	18	to	to	PART
esrj-65215	38	19	be	be	AUX
esrj-65215	38	20	determined	determine	VERB
esrj-65215	38	21	,	,	PUNCT
esrj-65215	38	22	the	the	DET
esrj-65215	38	23	new	new	ADJ
esrj-65215	38	24	detected	detect	VERB
esrj-65215	38	25	method	method	NOUN
esrj-65215	38	26	which	which	PRON
esrj-65215	38	27	is	be	AUX
esrj-65215	38	28	based	base	VERB
esrj-65215	38	29	on	on	ADP
esrj-65215	38	30	residual	residual	ADJ
esrj-65215	38	31	error	error	NOUN
esrj-65215	38	32	has	have	VERB
esrj-65215	38	33	the	the	DET
esrj-65215	38	34	function	function	NOUN
esrj-65215	38	35	of	of	ADP
esrj-65215	38	36	model	model	NOUN
esrj-65215	38	37	order	order	NOUN
esrj-65215	38	38	self	self	NOUN
esrj-65215	38	39	-	-	PUNCT
esrj-65215	38	40	learning	learning	NOUN
esrj-65215	38	41	.	.	PUNCT
esrj-65215	39	1	3	3	X
esrj-65215	39	2	.	.	X
esrj-65215	39	3	in	in	ADP
esrj-65215	39	4	a	a	DET
esrj-65215	39	5	view	view	NOUN
esrj-65215	39	6	to	to	PART
esrj-65215	39	7	avoid	avoid	VERB
esrj-65215	39	8	the	the	DET
esrj-65215	39	9	influence	influence	NOUN
esrj-65215	39	10	of	of	ADP
esrj-65215	39	11	outliers	outlier	NOUN
esrj-65215	39	12	on	on	ADP
esrj-65215	39	13	the	the	DET
esrj-65215	39	14	test	test	NOUN
esrj-65215	39	15	results	result	NOUN
esrj-65215	39	16	,	,	PUNCT
esrj-65215	39	17	this	this	DET
esrj-65215	39	18	paper	paper	NOUN
esrj-65215	39	19	proposes	propose	VERB
esrj-65215	39	20	a	a	DET
esrj-65215	39	21	detection	detection	NOUN
esrj-65215	39	22	-	-	PUNCT
esrj-65215	39	23	before	before	ADP
esrj-65215	39	24	-	-	PUNCT
esrj-65215	39	25	update	update	NOUN
esrj-65215	39	26	and	and	CCONJ
esrj-65215	39	27	detection	detection	NOUN
esrj-65215	39	28	-	-	PUNCT
esrj-65215	39	29	based	base	VERB
esrj-65215	39	30	-	-	PUNCT
esrj-65215	39	31	update	update	NOUN
esrj-65215	39	32	strategies	strategy	NOUN
esrj-65215	39	33	.	.	PUNCT
esrj-65215	40	1	the	the	DET
esrj-65215	40	2	predecessors	predecessor	NOUN
esrj-65215	40	3	’	’	PART
esrj-65215	40	4	achievements	achievement	NOUN
esrj-65215	40	5	on	on	ADP
esrj-65215	40	6	outlier	outlier	ADJ
esrj-65215	40	7	detection	detection	NOUN
esrj-65215	40	8	many	many	ADJ
esrj-65215	40	9	good	good	ADJ
esrj-65215	40	10	ideas	idea	NOUN
esrj-65215	40	11	and	and	CCONJ
esrj-65215	40	12	methods	method	NOUN
esrj-65215	40	13	are	be	AUX
esrj-65215	40	14	put	put	VERB
esrj-65215	40	15	forward	forward	ADV
esrj-65215	40	16	for	for	ADP
esrj-65215	40	17	the	the	DET
esrj-65215	40	18	research	research	NOUN
esrj-65215	40	19	of	of	ADP
esrj-65215	40	20	outliers	outlier	NOUN
esrj-65215	40	21	detection	detection	NOUN
esrj-65215	40	22	problem	problem	NOUN
esrj-65215	40	23	,	,	PUNCT
esrj-65215	40	24	such	such	ADJ
esrj-65215	40	25	as	as	ADP
esrj-65215	40	26	that	that	PRON
esrj-65215	40	27	barnett	barnett	PROPN
esrj-65215	40	28	and	and	CCONJ
esrj-65215	40	29	lewis	lewis	PROPN
esrj-65215	40	30	proposed	propose	VERB
esrj-65215	40	31	an	an	DET
esrj-65215	40	32	outliers	outlier	NOUN
esrj-65215	40	33	detected	detect	VERB
esrj-65215	40	34	method	method	NOUN
esrj-65215	40	35	based	base	VERB
esrj-65215	40	36	on	on	ADP
esrj-65215	40	37	statistics	statistic	NOUN
esrj-65215	40	38	in	in	ADP
esrj-65215	40	39	their	their	PRON
esrj-65215	40	40	word	word	NOUN
esrj-65215	40	41	named	name	VERB
esrj-65215	40	42	‘	'	PUNCT
esrj-65215	40	43	outlier	outlier	NOUN
esrj-65215	40	44	in	in	ADP
esrj-65215	40	45	statistical	statistical	ADJ
esrj-65215	40	46	data	datum	NOUN
esrj-65215	40	47	(	(	PUNCT
esrj-65215	40	48	barnett	barnett	PROPN
esrj-65215	40	49	&	&	CCONJ
esrj-65215	40	50	lewis	lewis	PROPN
esrj-65215	40	51	,	,	PUNCT
esrj-65215	40	52	1994	1994	NUM
esrj-65215	40	53	)	)	PUNCT
esrj-65215	40	54	.	.	PUNCT
esrj-65215	41	1	outlier	outlier	NOUN
esrj-65215	41	2	detection	detection	NOUN
esrj-65215	41	3	method	method	NOUN
esrj-65215	41	4	based	base	VERB
esrj-65215	41	5	on	on	ADP
esrj-65215	41	6	distance	distance	NOUN
esrj-65215	41	7	is	be	AUX
esrj-65215	41	8	proposed	propose	VERB
esrj-65215	41	9	by	by	ADP
esrj-65215	41	10	knorr	knorr	PROPN
esrj-65215	41	11	and	and	CCONJ
esrj-65215	41	12	raymond	raymond	PROPN
esrj-65215	41	13	(	(	PUNCT
esrj-65215	41	14	knorr	knorr	PROPN
esrj-65215	41	15	&	&	CCONJ
esrj-65215	41	16	ng	ng	PROPN
esrj-65215	41	17	,	,	PUNCT
esrj-65215	41	18	1999	1999	NUM
esrj-65215	41	19	;	;	PUNCT
esrj-65215	41	20	edwin	edwin	PROPN
esrj-65215	41	21	&	&	CCONJ
esrj-65215	41	22	raymond	raymond	PROPN
esrj-65215	41	23	,	,	PUNCT
esrj-65215	41	24	1998	1998	NUM
esrj-65215	41	25	)	)	PUNCT
esrj-65215	41	26	,	,	PUNCT
esrj-65215	41	27	an	an	DET
esrj-65215	41	28	new	new	ADJ
esrj-65215	41	29	detected	detect	VERB
esrj-65215	41	30	method	method	NOUN
esrj-65215	41	31	based	base	VERB
esrj-65215	41	32	on	on	ADP
esrj-65215	41	33	density	density	NOUN
esrj-65215	41	34	is	be	AUX
esrj-65215	41	35	suggested	suggest	VERB
esrj-65215	41	36	by	by	ADP
esrj-65215	41	37	ramaswamy	ramaswamy	PROPN
esrj-65215	41	38	et	et	PROPN
esrj-65215	41	39	al	al	PROPN
esrj-65215	41	40	.	.	PUNCT
esrj-65215	42	1	(	(	PUNCT
esrj-65215	42	2	2000	2000	NUM
esrj-65215	42	3	)	)	PUNCT
esrj-65215	42	4	.	.	PUNCT
esrj-65215	43	1	but	but	CCONJ
esrj-65215	43	2	for	for	ADP
esrj-65215	43	3	ore	ore	NOUN
esrj-65215	43	4	inspection	inspection	NOUN
esrj-65215	43	5	data	datum	NOUN
esrj-65215	43	6	,	,	PUNCT
esrj-65215	43	7	the	the	DET
esrj-65215	43	8	detection	detection	NOUN
esrj-65215	43	9	methods	method	NOUN
esrj-65215	43	10	based	base	VERB
esrj-65215	43	11	on	on	ADP
esrj-65215	43	12	distance	distance	NOUN
esrj-65215	43	13	,	,	PUNCT
esrj-65215	43	14	density	density	NOUN
esrj-65215	43	15	or	or	CCONJ
esrj-65215	43	16	variance	variance	NOUN
esrj-65215	43	17	is	be	AUX
esrj-65215	43	18	a	a	DET
esrj-65215	43	19	lack	lack	NOUN
esrj-65215	43	20	of	of	ADP
esrj-65215	43	21	feasibility	feasibility	NOUN
esrj-65215	43	22	since	since	SCONJ
esrj-65215	43	23	an	an	DET
esrj-65215	43	24	online	online	ADJ
esrj-65215	43	25	real	real	ADJ
esrj-65215	43	26	-	-	PUNCT
esrj-65215	43	27	time	time	NOUN
esrj-65215	43	28	detection	detection	NOUN
esrj-65215	43	29	method	method	NOUN
esrj-65215	43	30	be	be	AUX
esrj-65215	43	31	needed	need	VERB
esrj-65215	43	32	for	for	ADP
esrj-65215	43	33	the	the	DET
esrj-65215	43	34	ore	ore	NOUN
esrj-65215	43	35	test	test	NOUN
esrj-65215	43	36	data	datum	NOUN
esrj-65215	43	37	.	.	PUNCT
esrj-65215	44	1	with	with	ADP
esrj-65215	44	2	the	the	DET
esrj-65215	44	3	research	research	NOUN
esrj-65215	44	4	of	of	ADP
esrj-65215	44	5	anomaly	anomaly	PROPN
esrj-65215	44	6	data	data	NOUN
esrj-65215	44	7	detection	detection	NOUN
esrj-65215	44	8	technology	technology	NOUN
esrj-65215	44	9	,	,	PUNCT
esrj-65215	44	10	many	many	ADJ
esrj-65215	44	11	new	new	ADJ
esrj-65215	44	12	ideas	idea	NOUN
esrj-65215	44	13	and	and	CCONJ
esrj-65215	44	14	techniques	technique	NOUN
esrj-65215	44	15	are	be	AUX
esrj-65215	44	16	introduced	introduce	VERB
esrj-65215	44	17	,	,	PUNCT
esrj-65215	44	18	such	such	ADJ
esrj-65215	44	19	as	as	ADP
esrj-65215	44	20	clustering	cluster	VERB
esrj-65215	44	21	analysis	analysis	NOUN
esrj-65215	44	22	(	(	PUNCT
esrj-65215	44	23	almeida	almeida	PROPN
esrj-65215	44	24	&	&	CCONJ
esrj-65215	44	25	barbosa	barbosa	PROPN
esrj-65215	44	26	,	,	PUNCT
esrj-65215	44	27	2007	2007	NUM
esrj-65215	44	28	)	)	PUNCT
esrj-65215	44	29	and	and	CCONJ
esrj-65215	44	30	neural	neural	ADJ
esrj-65215	44	31	network	network	NOUN
esrj-65215	44	32	method	method	NOUN
esrj-65215	44	33	(	(	PUNCT
esrj-65215	44	34	bullen	bullen	PROPN
esrj-65215	44	35	,	,	PUNCT
esrj-65215	44	36	cornford	cornford	PROPN
esrj-65215	44	37	,	,	PUNCT
esrj-65215	44	38	&	&	CCONJ
esrj-65215	44	39	nnbney	nnbney	PROPN
esrj-65215	44	40	,	,	PUNCT
esrj-65215	44	41	2003	2003	NUM
esrj-65215	44	42	;	;	PUNCT
esrj-65215	44	43	prakobphol	prakobphol	NOUN
esrj-65215	44	44	,	,	PUNCT
esrj-65215	44	45	&	&	CCONJ
esrj-65215	44	46	zhan	zhan	PROPN
esrj-65215	44	47	,	,	PUNCT
esrj-65215	44	48	2008	2008	NUM
esrj-65215	44	49	)	)	PUNCT
esrj-65215	44	50	.	.	PUNCT
esrj-65215	45	1	but	but	CCONJ
esrj-65215	45	2	clustering	cluster	VERB
esrj-65215	45	3	analysis	analysis	NOUN
esrj-65215	45	4	method	method	NOUN
esrj-65215	45	5	is	be	AUX
esrj-65215	45	6	also	also	ADV
esrj-65215	45	7	not	not	PART
esrj-65215	45	8	suitable	suitable	ADJ
esrj-65215	45	9	for	for	ADP
esrj-65215	45	10	online	online	ADJ
esrj-65215	45	11	outlier	outlier	NOUN
esrj-65215	45	12	detection	detection	NOUN
esrj-65215	45	13	for	for	ADP
esrj-65215	45	14	extensive	extensive	ADJ
esrj-65215	45	15	test	test	NOUN
esrj-65215	45	16	data	datum	NOUN
esrj-65215	45	17	,	,	PUNCT
esrj-65215	45	18	and	and	CCONJ
esrj-65215	45	19	neural	neural	ADJ
esrj-65215	45	20	network	network	NOUN
esrj-65215	45	21	method	method	NOUN
esrj-65215	45	22	requires	require	VERB
esrj-65215	45	23	a	a	DET
esrj-65215	45	24	lot	lot	NOUN
esrj-65215	45	25	of	of	ADP
esrj-65215	45	26	data	datum	NOUN
esrj-65215	45	27	to	to	ADP
esrj-65215	45	28	model	model	NOUN
esrj-65215	45	29	learning	learning	NOUN
esrj-65215	45	30	.	.	PUNCT
esrj-65215	46	1	in	in	ADP
esrj-65215	46	2	1995	1995	NUM
esrj-65215	46	3	,	,	PUNCT
esrj-65215	46	4	ragaran	ragaran	ADJ
esrj-65215	46	5	and	and	CCONJ
esrj-65215	46	6	argrawal	argrawal	NOUN
esrj-65215	46	7	put	put	VERB
esrj-65215	46	8	forward	forward	ADV
esrj-65215	46	9	the	the	DET
esrj-65215	46	10	concept	concept	NOUN
esrj-65215	46	11	of	of	ADP
esrj-65215	46	12	"	"	PUNCT
esrj-65215	46	13	sequence	sequence	NOUN
esrj-65215	46	14	anomaly	anomaly	NOUN
esrj-65215	46	15	"	"	PUNCT
esrj-65215	46	16	(	(	PUNCT
esrj-65215	46	17	han	han	PROPN
esrj-65215	46	18	&	&	CCONJ
esrj-65215	46	19	micheline	micheline	PROPN
esrj-65215	46	20	,	,	PUNCT
esrj-65215	46	21	2001	2001	NUM
esrj-65215	46	22	)	)	PUNCT
esrj-65215	46	23	and	and	CCONJ
esrj-65215	46	24	proposed	propose	VERB
esrj-65215	46	25	the	the	DET
esrj-65215	46	26	detection	detection	NOUN
esrj-65215	46	27	method	method	NOUN
esrj-65215	46	28	based	base	VERB
esrj-65215	46	29	on	on	ADP
esrj-65215	46	30	deviation	deviation	NOUN
esrj-65215	46	31	(	(	PUNCT
esrj-65215	46	32	takeuchi	takeuchi	PROPN
esrj-65215	46	33	,	,	PUNCT
esrj-65215	46	34	&	&	CCONJ
esrj-65215	46	35	yamanishi	yamanishi	NOUN
esrj-65215	46	36	,	,	PUNCT
esrj-65215	46	37	2006	2006	NUM
esrj-65215	46	38	)	)	PUNCT
esrj-65215	46	39	.	.	PUNCT
esrj-65215	47	1	because	because	SCONJ
esrj-65215	47	2	this	this	DET
esrj-65215	47	3	method	method	NOUN
esrj-65215	47	4	needs	need	VERB
esrj-65215	47	5	to	to	PART
esrj-65215	47	6	know	know	VERB
esrj-65215	47	7	the	the	DET
esrj-65215	47	8	order	order	NOUN
esrj-65215	47	9	of	of	ADP
esrj-65215	47	10	the	the	DET
esrj-65215	47	11	model	model	NOUN
esrj-65215	47	12	,	,	PUNCT
esrj-65215	47	13	it	it	PRON
esrj-65215	47	14	can	can	AUX
esrj-65215	47	15	not	not	PART
esrj-65215	47	16	be	be	AUX
esrj-65215	47	17	directly	directly	ADV
esrj-65215	47	18	used	use	VERB
esrj-65215	47	19	for	for	ADP
esrj-65215	47	20	the	the	DET
esrj-65215	47	21	outlier	outlier	ADJ
esrj-65215	47	22	detection	detection	NOUN
esrj-65215	47	23	of	of	ADP
esrj-65215	47	24	mineral	mineral	NOUN
esrj-65215	47	25	grade	grade	NOUN
esrj-65215	47	26	analysis	analysis	NOUN
esrj-65215	47	27	data	datum	NOUN
esrj-65215	47	28	.	.	PUNCT
esrj-65215	48	1	structure	structure	NOUN
esrj-65215	48	2	of	of	ADP
esrj-65215	48	3	double	double	ADJ
esrj-65215	48	4	iteration	iteration	NOUN
esrj-65215	48	5	in	in	ADP
esrj-65215	48	6	bdt	bdt	PROPN
esrj-65215	48	7	to	to	PART
esrj-65215	48	8	make	make	VERB
esrj-65215	48	9	the	the	DET
esrj-65215	48	10	bdt	bdt	NOUN
esrj-65215	48	11	algorithm	algorithm	NOUN
esrj-65215	48	12	can	can	AUX
esrj-65215	48	13	be	be	AUX
esrj-65215	48	14	calculated	calculate	VERB
esrj-65215	48	15	online	online	ADV
esrj-65215	48	16	,	,	PUNCT
esrj-65215	48	17	the	the	DET
esrj-65215	48	18	improved	improve	VERB
esrj-65215	48	19	bdt	bdt	NOUN
esrj-65215	48	20	algorithm	algorithm	NOUN
esrj-65215	48	21	with	with	ADP
esrj-65215	48	22	double	double	ADJ
esrj-65215	48	23	repetition	repetition	NOUN
esrj-65215	48	24	structure	structure	NOUN
esrj-65215	48	25	is	be	AUX
esrj-65215	48	26	proposed	propose	VERB
esrj-65215	48	27	in	in	ADP
esrj-65215	48	28	this	this	DET
esrj-65215	48	29	paper	paper	NOUN
esrj-65215	48	30	.	.	PUNCT
esrj-65215	49	1	traditional	traditional	ADJ
esrj-65215	49	2	bdt	bdt	PROPN
esrj-65215	49	3	algorithm	algorithm	NOUN
esrj-65215	49	4	the	the	DET
esrj-65215	49	5	traditional	traditional	ADJ
esrj-65215	49	6	bdt	bdt	NOUN
esrj-65215	49	7	algorithm	algorithm	NOUN
esrj-65215	49	8	is	be	AUX
esrj-65215	49	9	improved	improve	VERB
esrj-65215	49	10	by	by	ADP
esrj-65215	49	11	levinson	levinson	PROPN
esrj-65215	49	12	-	-	PUNCT
esrj-65215	49	13	durbin	durbin	ADJ
esrj-65215	49	14	algorithm	algorithm	NOUN
esrj-65215	49	15	which	which	PRON
esrj-65215	49	16	is	be	AUX
esrj-65215	49	17	proposed	propose	VERB
esrj-65215	49	18	by	by	ADP
esrj-65215	49	19	brockwell	brockwell	PROPN
esrj-65215	49	20	et	et	PROPN
esrj-65215	49	21	al	al	PROPN
esrj-65215	49	22	.	.	PROPN
esrj-65215	50	1	(	(	PUNCT
esrj-65215	50	2	2002	2002	NUM
esrj-65215	50	3	)	)	PUNCT
esrj-65215	50	4	.	.	PUNCT
esrj-65215	51	1	for	for	ADP
esrj-65215	51	2	traditional	traditional	ADJ
esrj-65215	51	3	bdt	bdt	NOUN
esrj-65215	51	4	algorithm	algorithm	NOUN
esrj-65215	51	5	,	,	PUNCT
esrj-65215	51	6	using	use	VERB
esrj-65215	51	7	all	all	DET
esrj-65215	51	8	the	the	DET
esrj-65215	51	9	data	datum	NOUN
esrj-65215	51	10	to	to	ADP
esrj-65215	51	11	the	the	DET
esrj-65215	51	12	iterative	iterative	ADJ
esrj-65215	51	13	calculation	calculation	NOUN
esrj-65215	51	14	of	of	ADP
esrj-65215	51	15	model	model	NOUN
esrj-65215	51	16	order	order	NOUN
esrj-65215	51	17	,	,	PUNCT
esrj-65215	51	18	in	in	ADP
esrj-65215	51	19	a	a	DET
esrj-65215	51	20	view	view	NOUN
esrj-65215	51	21	to	to	PART
esrj-65215	51	22	obtain	obtain	VERB
esrj-65215	51	23	the	the	DET
esrj-65215	51	24	order	order	NOUN
esrj-65215	51	25	of	of	ADP
esrj-65215	51	26	the	the	DET
esrj-65215	51	27	forward	forward	ADJ
esrj-65215	51	28	and	and	CCONJ
esrj-65215	51	29	backward	backward	PROPN
esrj-65215	51	30	ar	ar	PROPN
esrj-65215	51	31	model	model	PROPN
esrj-65215	51	32	.	.	PUNCT
esrj-65215	52	1	xt	xt	PROPN
esrj-65215	52	2	,	,	PUNCT
esrj-65215	52	3	t	t	PROPN
esrj-65215	53	1	=	=	SYM
esrj-65215	53	2	1,2,∙∙∙	1,2,∙∙∙	NUM
esrj-65215	53	3	is	be	AUX
esrj-65215	53	4	the	the	DET
esrj-65215	53	5	test	test	NOUN
esrj-65215	53	6	data	datum	NOUN
esrj-65215	53	7	waiting	wait	VERB
esrj-65215	53	8	for	for	ADP
esrj-65215	53	9	detection	detection	NOUN
esrj-65215	53	10	,	,	PUNCT
esrj-65215	53	11	where	where	SCONJ
esrj-65215	53	12	xt	xt	PROPN
esrj-65215	53	13	is	be	AUX
esrj-65215	53	14	m	m	PROPN
esrj-65215	53	15	-dimension	-dimension	NOUN
esrj-65215	53	16	vectors	vector	NOUN
esrj-65215	53	17	.	.	PUNCT
esrj-65215	54	1	so	so	ADV
esrj-65215	54	2	forward	forward	PROPN
esrj-65215	54	3	ar	ar	PROPN
esrj-65215	54	4	model	model	NOUN
esrj-65215	54	5	can	can	AUX
esrj-65215	54	6	be	be	AUX
esrj-65215	54	7	express	express	ADJ
esrj-65215	54	8	as	as	ADP
esrj-65215	54	9	equation	equation	NOUN
esrj-65215	54	10	1	1	NUM
esrj-65215	54	11	.	.	PUNCT
esrj-65215	55	1	(	(	PUNCT
esrj-65215	55	2	1	1	X
esrj-65215	55	3	)	)	PUNCT
esrj-65215	55	4	in	in	ADP
esrj-65215	55	5	which	which	PRON
esrj-65215	55	6	,	,	PUNCT
esrj-65215	55	7	ɛk	ɛk	PROPN
esrj-65215	55	8	,	,	PUNCT
esrj-65215	55	9	(	(	PUNCT
esrj-65215	55	10	t	t	NOUN
esrj-65215	55	11	)	)	PUNCT
esrj-65215	55	12	is	be	AUX
esrj-65215	55	13	forward	forward	ADV
esrj-65215	55	14	residual	residual	ADJ
esrj-65215	55	15	under	under	ADP
esrj-65215	55	16	k	k	PROPN
esrj-65215	55	17	order	order	NOUN
esrj-65215	55	18	model	model	NOUN
esrj-65215	55	19	,	,	PUNCT
esrj-65215	55	20	which	which	PRON
esrj-65215	55	21	obeys	obey	VERB
esrj-65215	55	22	gauss	gauss	ADJ
esrj-65215	55	23	distribution	distribution	NOUN
esrj-65215	55	24	with	with	ADP
esrj-65215	55	25	zero	zero	NUM
esrj-65215	55	26	means	mean	NOUN
esrj-65215	55	27	.	.	PUNCT
esrj-65215	56	1	ak	ak	PROPN
esrj-65215	56	2	(	(	PUNCT
esrj-65215	56	3	i	i	PROPN
esrj-65215	56	4	)	)	PUNCT
esrj-65215	56	5	is	be	AUX
esrj-65215	56	6	the	the	DET
esrj-65215	56	7	coefficient	coefficient	NOUN
esrj-65215	56	8	of	of	ADP
esrj-65215	56	9	forwarding	forward	VERB
esrj-65215	56	10	ar	ar	NOUN
esrj-65215	56	11	model	model	NOUN
esrj-65215	56	12	under	under	ADP
esrj-65215	56	13	k	k	PROPN
esrj-65215	56	14	order	order	NOUN
esrj-65215	56	15	model	model	NOUN
esrj-65215	56	16	.	.	PUNCT
esrj-65215	57	1	so	so	ADV
esrj-65215	57	2	backward	backward	PROPN
esrj-65215	57	3	ar	ar	NOUN
esrj-65215	57	4	model	model	NOUN
esrj-65215	57	5	can	can	AUX
esrj-65215	57	6	be	be	AUX
esrj-65215	57	7	written	write	VERB
esrj-65215	57	8	as	as	ADP
esrj-65215	57	9	equation	equation	NOUN
esrj-65215	57	10	2	2	NUM
esrj-65215	57	11	.	.	PUNCT
esrj-65215	58	1	(	(	PUNCT
esrj-65215	58	2	2	2	NUM
esrj-65215	58	3	)	)	PUNCT
esrj-65215	58	4	with	with	ADP
esrj-65215	58	5	minimizing	minimize	VERB
esrj-65215	58	6	all	all	DET
esrj-65215	58	7	data	datum	NOUN
esrj-65215	58	8	forward	forward	ADV
esrj-65215	58	9	and	and	CCONJ
esrj-65215	58	10	backward	backward	ADJ
esrj-65215	58	11	residual	residual	ADJ
esrj-65215	58	12	as	as	ADP
esrj-65215	58	13	the	the	DET
esrj-65215	58	14	target	target	NOUN
esrj-65215	58	15	,	,	PUNCT
esrj-65215	58	16	so	so	CCONJ
esrj-65215	58	17	the	the	DET
esrj-65215	58	18	generalized	generalized	ADJ
esrj-65215	58	19	objective	objective	ADJ
esrj-65215	58	20	function	function	NOUN
esrj-65215	58	21	written	write	VERB
esrj-65215	58	22	as	as	ADP
esrj-65215	58	23	equation	equation	NOUN
esrj-65215	58	24	3	3	NUM
esrj-65215	58	25	(	(	PUNCT
esrj-65215	58	26	trindade	trindade	VERB
esrj-65215	58	27	,	,	PUNCT
esrj-65215	58	28	2003	2003	NUM
esrj-65215	58	29	)	)	PUNCT
esrj-65215	58	30	.	.	PUNCT
esrj-65215	59	1	(	(	PUNCT
esrj-65215	59	2	3	3	X
esrj-65215	59	3	)	)	PUNCT
esrj-65215	59	4	n	n	PRON
esrj-65215	59	5	is	be	AUX
esrj-65215	59	6	the	the	DET
esrj-65215	59	7	number	number	NOUN
esrj-65215	59	8	of	of	ADP
esrj-65215	59	9	the	the	DET
esrj-65215	59	10	data	datum	NOUN
esrj-65215	59	11	.	.	PUNCT
esrj-65215	60	1	ω1	ω1	PROPN
esrj-65215	60	2	and	and	CCONJ
esrj-65215	60	3	ω2	ω2	NOUN
esrj-65215	60	4	are	be	AUX
esrj-65215	60	5	weighted	weight	VERB
esrj-65215	60	6	coefficient	coefficient	NOUN
esrj-65215	60	7	matrix	matrix	NOUN
esrj-65215	60	8	for	for	ADP
esrj-65215	60	9	forwarding	forwarding	NOUN
esrj-65215	60	10	and	and	CCONJ
esrj-65215	60	11	backward	backward	PROPN
esrj-65215	60	12	ar	ar	PROPN
esrj-65215	60	13	model	model	NOUN
esrj-65215	60	14	,	,	PUNCT
esrj-65215	60	15	and	and	CCONJ
esrj-65215	60	16	in	in	ADP
esrj-65215	60	17	bdt	bdt	PROPN
esrj-65215	60	18	algorithm	algorithm	NOUN
esrj-65215	60	19	,	,	PUNCT
esrj-65215	60	20	the	the	DET
esrj-65215	60	21	values	value	NOUN
esrj-65215	60	22	of	of	ADP
esrj-65215	60	23	ω1	ω1	PROPN
esrj-65215	60	24	and	and	CCONJ
esrj-65215	60	25	ω2	ω2	ADJ
esrj-65215	60	26	is	be	AUX
esrj-65215	60	27	1	1	NUM
esrj-65215	60	28	.	.	PUNCT
esrj-65215	61	1	ἓk	ἓk	PROPN
esrj-65215	61	2	(	(	PUNCT
esrj-65215	61	3	t	t	PROPN
esrj-65215	61	4	)	)	PUNCT
esrj-65215	61	5	and	and	CCONJ
esrj-65215	61	6	are	be	AUX
esrj-65215	61	7	estimated	estimate	VERB
esrj-65215	61	8	residual	residual	ADJ
esrj-65215	61	9	values	value	NOUN
esrj-65215	61	10	for	for	ADP
esrj-65215	61	11	forward	forward	ADV
esrj-65215	61	12	and	and	CCONJ
esrj-65215	61	13	backward	backward	ADJ
esrj-65215	61	14	ar	ar	PROPN
esrj-65215	61	15	model	model	NOUN
esrj-65215	61	16	individually	individually	ADV
esrj-65215	61	17	.	.	PUNCT
esrj-65215	62	1	(	(	PUNCT
esrj-65215	62	2	4	4	NUM
esrj-65215	62	3	)	)	PUNCT
esrj-65215	62	4	(	(	PUNCT
esrj-65215	62	5	5	5	NUM
esrj-65215	62	6	)	)	PUNCT
esrj-65215	62	7	in	in	ADP
esrj-65215	62	8	which	which	PRON
esrj-65215	62	9	,	,	PUNCT
esrj-65215	62	10	are	be	AUX
esrj-65215	62	11	m	m	NOUN
esrj-65215	62	12	-dimension	-dimension	NOUN
esrj-65215	62	13	matrix	matrix	NOUN
esrj-65215	62	14	.	.	PUNCT
esrj-65215	63	1	the	the	DET
esrj-65215	63	2	traditional	traditional	ADJ
esrj-65215	63	3	bdt	bdt	NOUN
esrj-65215	63	4	algorithm	algorithm	NOUN
esrj-65215	63	5	can	can	AUX
esrj-65215	63	6	be	be	AUX
esrj-65215	63	7	written	write	VERB
esrj-65215	63	8	in	in	ADP
esrj-65215	63	9	full	full	ADJ
esrj-65215	63	10	as	as	SCONJ
esrj-65215	63	11	followed	follow	VERB
esrj-65215	63	12	:	:	PUNCT
esrj-65215	63	13	(	(	PUNCT
esrj-65215	63	14	6	6	NUM
esrj-65215	63	15	)	)	PUNCT
esrj-65215	63	16	(	(	PUNCT
esrj-65215	63	17	7	7	NUM
esrj-65215	63	18	)	)	PUNCT
esrj-65215	63	19	(	(	PUNCT
esrj-65215	63	20	8)	8)	NUM
esrj-65215	63	21	(	(	PUNCT
esrj-65215	63	22	9	9	NUM
esrj-65215	63	23	)	)	PUNCT
esrj-65215	63	24	(	(	PUNCT
esrj-65215	63	25	10	10	NUM
esrj-65215	63	26	)	)	PUNCT
esrj-65215	63	27	(	(	PUNCT
esrj-65215	63	28	11	11	NUM
esrj-65215	63	29	)	)	PUNCT
esrj-65215	63	30	(	(	PUNCT
esrj-65215	63	31	12	12	NUM
esrj-65215	63	32	)	)	PUNCT
esrj-65215	63	33	(	(	PUNCT
esrj-65215	63	34	13	13	NUM
esrj-65215	63	35	)	)	PUNCT
esrj-65215	63	36	in	in	ADP
esrj-65215	63	37	equation	equation	NOUN
esrj-65215	63	38	6	6	NUM
esrj-65215	63	39	to	to	ADP
esrj-65215	63	40	equation	equation	NOUN
esrj-65215	63	41	13	13	NUM
esrj-65215	63	42	,	,	PUNCT
esrj-65215	63	43	ûk	ûk	NOUN
esrj-65215	63	44	and	and	CCONJ
esrj-65215	63	45	v̂k	v̂k	NOUN
esrj-65215	63	46	are	be	AUX
esrj-65215	63	47	estimated	estimate	VERB
esrj-65215	63	48	variance	variance	NOUN
esrj-65215	63	49	for	for	ADP
esrj-65215	63	50	forwarding	forwarding	NOUN
esrj-65215	63	51	and	and	CCONJ
esrj-65215	63	52	backward	backward	ADJ
esrj-65215	63	53	noise	noise	NOUN
esrj-65215	63	54	.	.	PUNCT
esrj-65215	64	1	the	the	DET
esrj-65215	64	2	initial	initial	ADJ
esrj-65215	64	3	condition	condition	NOUN
esrj-65215	64	4	for	for	ADP
esrj-65215	64	5	traditional	traditional	ADJ
esrj-65215	64	6	bdt	bdt	NOUN
esrj-65215	64	7	algorithm	algorithm	NOUN
esrj-65215	64	8	are	be	AUX
esrj-65215	64	9	:	:	PUNCT
esrj-65215	64	10	(	(	PUNCT
esrj-65215	64	11	14	14	X
esrj-65215	64	12	)	)	PUNCT
esrj-65215	64	13	137online	137online	PROPN
esrj-65215	64	14	outlier	outlier	NOUN
esrj-65215	64	15	detection	detection	NOUN
esrj-65215	64	16	for	for	ADP
esrj-65215	64	17	time	time	NOUN
esrj-65215	64	18	-	-	PUNCT
esrj-65215	64	19	varying	vary	VERB
esrj-65215	64	20	time	time	NOUN
esrj-65215	64	21	series	series	NOUN
esrj-65215	64	22	on	on	ADP
esrj-65215	64	23	improved	improved	ADJ
esrj-65215	64	24	arhmm	arhmm	NOUN
esrj-65215	64	25	in	in	ADP
esrj-65215	64	26	geological	geological	ADJ
esrj-65215	64	27	mineral	mineral	NOUN
esrj-65215	64	28	grade	grade	NOUN
esrj-65215	64	29	analysis	analysis	NOUN
esrj-65215	64	30	process	process	NOUN
esrj-65215	64	31	(	(	PUNCT
esrj-65215	64	32	15	15	NUM
esrj-65215	64	33	)	)	PUNCT
esrj-65215	64	34	(	(	PUNCT
esrj-65215	64	35	16	16	NUM
esrj-65215	64	36	)	)	PUNCT
esrj-65215	64	37	the	the	DET
esrj-65215	64	38	subscript	subscript	NOUN
esrj-65215	64	39	ø	ø	PROPN
esrj-65215	64	40	express	express	VERB
esrj-65215	64	41	that	that	SCONJ
esrj-65215	64	42	when	when	SCONJ
esrj-65215	64	43	the	the	DET
esrj-65215	64	44	initial	initial	ADJ
esrj-65215	64	45	iteration	iteration	NOUN
esrj-65215	64	46	,	,	PUNCT
esrj-65215	64	47	the	the	DET
esrj-65215	64	48	model	model	NOUN
esrj-65215	64	49	order	order	NOUN
esrj-65215	64	50	set	set	NOUN
esrj-65215	64	51	is	be	AUX
esrj-65215	64	52	empty	empty	ADJ
esrj-65215	64	53	.	.	PUNCT
esrj-65215	65	1	•	•	NUM
esrj-65215	65	2	double	double	ADJ
esrj-65215	65	3	iteration	iteration	NOUN
esrj-65215	65	4	bdt	bdt	NOUN
esrj-65215	65	5	algorithm	algorithm	NOUN
esrj-65215	65	6	the	the	DET
esrj-65215	65	7	objective	objective	ADJ
esrj-65215	65	8	function	function	NOUN
esrj-65215	65	9	of	of	ADP
esrj-65215	65	10	improved	improved	ADJ
esrj-65215	65	11	bdt	bdt	NOUN
esrj-65215	65	12	algorithm	algorithm	NOUN
esrj-65215	65	13	also	also	ADV
esrj-65215	65	14	is	be	AUX
esrj-65215	65	15	equation	equation	NOUN
esrj-65215	65	16	3	3	NUM
esrj-65215	65	17	.	.	PUNCT
esrj-65215	66	1	the	the	DET
esrj-65215	66	2	dynamic	dynamic	ADJ
esrj-65215	66	3	performance	performance	NOUN
esrj-65215	66	4	of	of	ADP
esrj-65215	66	5	the	the	DET
esrj-65215	66	6	algorithm	algorithm	NOUN
esrj-65215	66	7	is	be	AUX
esrj-65215	66	8	enhanced	enhance	VERB
esrj-65215	66	9	by	by	ADP
esrj-65215	66	10	the	the	DET
esrj-65215	66	11	forgetting	forget	VERB
esrj-65215	66	12	factor	factor	NOUN
esrj-65215	66	13	.	.	PUNCT
esrj-65215	67	1	the	the	DET
esrj-65215	67	2	improved	improve	VERB
esrj-65215	67	3	bdt	bdt	NOUN
esrj-65215	67	4	algorithm	algorithm	NOUN
esrj-65215	67	5	has	have	VERB
esrj-65215	67	6	double	double	ADJ
esrj-65215	67	7	loop	loop	NOUN
esrj-65215	67	8	structure	structure	NOUN
esrj-65215	67	9	which	which	DET
esrj-65215	67	10	model	model	NOUN
esrj-65215	67	11	order	order	NOUN
esrj-65215	67	12	is	be	AUX
esrj-65215	67	13	inner	inner	ADJ
esrj-65215	67	14	loop	loop	NOUN
esrj-65215	67	15	and	and	CCONJ
esrj-65215	67	16	time	time	NOUN
esrj-65215	67	17	is	be	AUX
esrj-65215	67	18	the	the	DET
esrj-65215	67	19	outer	outer	ADJ
esrj-65215	67	20	loop	loop	NOUN
esrj-65215	67	21	.	.	PUNCT
esrj-65215	68	1	we	we	PRON
esrj-65215	68	2	set	set	VERB
esrj-65215	68	3	which	which	PRON
esrj-65215	68	4	is	be	AUX
esrj-65215	68	5	part	part	NOUN
esrj-65215	68	6	of	of	ADP
esrj-65215	68	7	equation	equation	NOUN
esrj-65215	68	8	6	6	NUM
esrj-65215	68	9	.	.	PUNCT
esrj-65215	69	1	so	so	ADV
esrj-65215	69	2	:	:	PUNCT
esrj-65215	69	3	(	(	PUNCT
esrj-65215	69	4	17	17	NUM
esrj-65215	69	5	)	)	PUNCT
esrj-65215	69	6	in	in	ADP
esrj-65215	69	7	equation	equation	NOUN
esrj-65215	69	8	7	7	NUM
esrj-65215	69	9	,	,	PUNCT
esrj-65215	69	10	k	k	PROPN
esrj-65215	69	11	a	a	DET
esrj-65215	69	12	set	set	ADJ
esrj-65215	69	13	maximum	maximum	ADJ
esrj-65215	69	14	value	value	NOUN
esrj-65215	69	15	for	for	ADP
esrj-65215	69	16	model	model	NOUN
esrj-65215	69	17	order	order	NOUN
esrj-65215	69	18	.	.	PUNCT
esrj-65215	70	1	considering	consider	VERB
esrj-65215	70	2	the	the	DET
esrj-65215	70	3	time	time	NOUN
esrj-65215	70	4	-	-	PUNCT
esrj-65215	70	5	varying	vary	VERB
esrj-65215	70	6	characteristics	characteristic	NOUN
esrj-65215	70	7	of	of	ADP
esrj-65215	70	8	the	the	DET
esrj-65215	70	9	model	model	NOUN
esrj-65215	70	10	parameters	parameter	NOUN
esrj-65215	70	11	,	,	PUNCT
esrj-65215	70	12	the	the	DET
esrj-65215	70	13	forgetting	forget	VERB
esrj-65215	70	14	factor	factor	NOUN
esrj-65215	70	15	is	be	AUX
esrj-65215	70	16	added	add	VERB
esrj-65215	70	17	to	to	ADP
esrj-65215	70	18	the	the	DET
esrj-65215	70	19	outer	outer	ADJ
esrj-65215	70	20	loop(time	loop(time	PROPN
esrj-65215	70	21	loop	loop	NOUN
esrj-65215	70	22	)	)	PUNCT
esrj-65215	70	23	updates	update	VERB
esrj-65215	70	24	.	.	PUNCT
esrj-65215	71	1	(	(	PUNCT
esrj-65215	71	2	18	18	NUM
esrj-65215	71	3	)	)	PUNCT
esrj-65215	71	4	(	(	PUNCT
esrj-65215	71	5	19	19	NUM
esrj-65215	71	6	)	)	PUNCT
esrj-65215	71	7	in	in	ADP
esrj-65215	71	8	equation	equation	NOUN
esrj-65215	71	9	18	18	NUM
esrj-65215	71	10	,	,	PUNCT
esrj-65215	71	11	ri	ri	PROPN
esrj-65215	71	12	t	t	PROPN
esrj-65215	71	13	is	be	AUX
esrj-65215	71	14	the	the	DET
esrj-65215	71	15	mean	mean	NOUN
esrj-65215	71	16	of	of	ADP
esrj-65215	71	17	the	the	DET
esrj-65215	71	18	covariance	covariance	NOUN
esrj-65215	71	19	matrix	matrix	NOUN
esrj-65215	71	20	for	for	ADP
esrj-65215	71	21	ἓi	ἓi	NOUN
esrj-65215	71	22	-	-	PUNCT
esrj-65215	71	23	l	l	NOUN
esrj-65215	71	24	(	(	PUNCT
esrj-65215	71	25	t	t	PROPN
esrj-65215	71	26	)	)	PUNCT
esrj-65215	71	27	and	and	CCONJ
esrj-65215	71	28	ἢi	ἢi	PROPN
esrj-65215	71	29	-	-	PUNCT
esrj-65215	71	30	l	l	NOUN
esrj-65215	71	31	(	(	PUNCT
esrj-65215	71	32	t	t	PROPN
esrj-65215	71	33	-	-	PUNCT
esrj-65215	71	34	i	i	PROPN
esrj-65215	71	35	)	)	PUNCT
esrj-65215	71	36	in	in	ADP
esrj-65215	71	37	time	time	NOUN
esrj-65215	71	38	.	.	PUNCT
esrj-65215	72	1	similarly	similarly	ADV
esrj-65215	72	2	,	,	PUNCT
esrj-65215	72	3	equation	equation	NOUN
esrj-65215	72	4	13	13	NUM
esrj-65215	72	5	can	can	AUX
esrj-65215	72	6	be	be	AUX
esrj-65215	72	7	rewritten	rewrite	VERB
esrj-65215	72	8	as	as	ADP
esrj-65215	72	9	:	:	PUNCT
esrj-65215	72	10	(	(	PUNCT
esrj-65215	72	11	20	20	NUM
esrj-65215	72	12	)	)	PUNCT
esrj-65215	72	13	so	so	SCONJ
esrj-65215	72	14	the	the	DET
esrj-65215	72	15	calculation	calculation	NOUN
esrj-65215	72	16	process	process	NOUN
esrj-65215	72	17	of	of	ADP
esrj-65215	72	18	double	double	ADJ
esrj-65215	72	19	iteration	iteration	NOUN
esrj-65215	72	20	algorithm	algorithm	NOUN
esrj-65215	72	21	is	be	AUX
esrj-65215	72	22	illustrated	illustrate	VERB
esrj-65215	72	23	in	in	ADP
esrj-65215	72	24	figure	figure	NOUN
esrj-65215	72	25	1	1	NUM
esrj-65215	72	26	.	.	PUNCT
esrj-65215	72	27	conditional	conditional	ADJ
esrj-65215	72	28	probability	probability	NOUN
esrj-65215	72	29	.	.	PUNCT
esrj-65215	73	1	the	the	DET
esrj-65215	73	2	other	other	ADJ
esrj-65215	73	3	is	be	AUX
esrj-65215	73	4	expressed	express	VERB
esrj-65215	73	5	as	as	ADP
esrj-65215	73	6	observation	observation	NOUN
esrj-65215	73	7	probability	probability	NOUN
esrj-65215	73	8	matrix	matrix	NOUN
esrj-65215	73	9	calculated	calculate	VERB
esrj-65215	73	10	by	by	ADP
esrj-65215	73	11	ar	ar	NOUN
esrj-65215	73	12	model	model	NOUN
esrj-65215	73	13	.	.	PUNCT
esrj-65215	74	1	(	(	PUNCT
esrj-65215	74	2	21	21	NUM
esrj-65215	74	3	)	)	PUNCT
esrj-65215	74	4	in	in	ADP
esrj-65215	74	5	equation	equation	NOUN
esrj-65215	74	6	21	21	NUM
esrj-65215	74	7	,	,	PUNCT
esrj-65215	74	8	n(•	n(•	PROPN
esrj-65215	74	9	)	)	PUNCT
esrj-65215	74	10	is	be	AUX
esrj-65215	74	11	gauss	gauss	ADJ
esrj-65215	74	12	function	function	NOUN
esrj-65215	74	13	,	,	PUNCT
esrj-65215	74	14	and	and	CCONJ
esrj-65215	74	15	ʃ̂k	ʃ̂k	X
esrj-65215	74	16	is	be	AUX
esrj-65215	74	17	estimated	estimate	VERB
esrj-65215	74	18	the	the	DET
esrj-65215	74	19	variance	variance	NOUN
esrj-65215	74	20	of	of	ADP
esrj-65215	74	21	gauss	gauss	ADJ
esrj-65215	74	22	distribution	distribution	NOUN
esrj-65215	74	23	.	.	PUNCT
esrj-65215	75	1	arhmm	arhmm	NOUN
esrj-65215	75	2	outlier	outlier	NOUN
esrj-65215	75	3	detection	detection	NOUN
esrj-65215	75	4	algorithm	algorithm	NOUN
esrj-65215	75	5	also	also	ADV
esrj-65215	75	6	composed	compose	VERB
esrj-65215	75	7	of	of	ADP
esrj-65215	75	8	two	two	NUM
esrj-65215	75	9	steps	step	NOUN
esrj-65215	75	10	:	:	PUNCT
esrj-65215	75	11	one	one	NUM
esrj-65215	75	12	step	step	NOUN
esrj-65215	75	13	-	-	PUNCT
esrj-65215	75	14	preliminary	preliminary	ADJ
esrj-65215	75	15	detection	detection	NOUN
esrj-65215	75	16	from	from	ADP
esrj-65215	75	17	equation	equation	NOUN
esrj-65215	75	18	1	1	NUM
esrj-65215	75	19	,	,	PUNCT
esrj-65215	75	20	we	we	PRON
esrj-65215	75	21	can	can	AUX
esrj-65215	75	22	see	see	VERB
esrj-65215	75	23	that	that	SCONJ
esrj-65215	75	24	there	there	PRON
esrj-65215	75	25	is	be	VERB
esrj-65215	75	26	a	a	DET
esrj-65215	75	27	deviation	deviation	NOUN
esrj-65215	75	28	between	between	ADP
esrj-65215	75	29	estimated	estimate	VERB
esrj-65215	75	30	process	process	NOUN
esrj-65215	75	31	data	datum	NOUN
esrj-65215	75	32	by	by	ADP
esrj-65215	75	33	ar	ar	NOUN
esrj-65215	75	34	model	model	NOUN
esrj-65215	75	35	and	and	CCONJ
esrj-65215	75	36	real	real	ADJ
esrj-65215	75	37	process	process	NOUN
esrj-65215	75	38	data	datum	NOUN
esrj-65215	75	39	.	.	PUNCT
esrj-65215	76	1	(	(	PUNCT
esrj-65215	76	2	22	22	NUM
esrj-65215	76	3	)	)	PUNCT
esrj-65215	76	4	if	if	SCONJ
esrj-65215	76	5	the	the	DET
esrj-65215	76	6	deviation	deviation	NOUN
esrj-65215	76	7	ɛk	ɛk	INTJ
esrj-65215	76	8	(	(	PUNCT
esrj-65215	76	9	t	t	PROPN
esrj-65215	76	10	)	)	PUNCT
esrj-65215	76	11	is	be	AUX
esrj-65215	76	12	only	only	ADV
esrj-65215	76	13	noise	noise	NOUN
esrj-65215	76	14	,	,	PUNCT
esrj-65215	76	15	it	it	PRON
esrj-65215	76	16	obeys	obey	VERB
esrj-65215	76	17	gauss	gauss	ADJ
esrj-65215	76	18	distribution	distribution	NOUN
esrj-65215	76	19	.	.	PUNCT
esrj-65215	77	1	so	so	ADV
esrj-65215	77	2	the	the	DET
esrj-65215	77	3	preliminary	preliminary	ADJ
esrj-65215	77	4	criteria	criterion	NOUN
esrj-65215	77	5	for	for	ADP
esrj-65215	77	6	outlier	outlier	ADJ
esrj-65215	77	7	detection	detection	NOUN
esrj-65215	77	8	are	be	AUX
esrj-65215	77	9	to	to	PART
esrj-65215	77	10	determine	determine	VERB
esrj-65215	77	11	the	the	DET
esrj-65215	77	12	probability	probability	NOUN
esrj-65215	77	13	that	that	SCONJ
esrj-65215	77	14	the	the	DET
esrj-65215	77	15	deviation	deviation	NOUN
esrj-65215	77	16	follows	follow	VERB
esrj-65215	77	17	gauss	gauss	ADJ
esrj-65215	77	18	distribution	distribution	NOUN
esrj-65215	77	19	.	.	PUNCT
esrj-65215	78	1	(	(	PUNCT
esrj-65215	78	2	23	23	NUM
esrj-65215	78	3	)	)	PUNCT
esrj-65215	78	4	in	in	ADP
esrj-65215	78	5	equation	equation	NOUN
esrj-65215	78	6	23	23	NUM
esrj-65215	78	7	,	,	PUNCT
esrj-65215	78	8	st	st	PROPN
esrj-65215	78	9	=	=	SYM
esrj-65215	78	10	1	1	NUM
esrj-65215	78	11	indicates	indicate	VERB
esrj-65215	78	12	that	that	SCONJ
esrj-65215	78	13	the	the	DET
esrj-65215	78	14	real	real	ADJ
esrj-65215	78	15	data	datum	NOUN
esrj-65215	78	16	detected	detect	VERB
esrj-65215	78	17	is	be	AUX
esrj-65215	78	18	normal	normal	ADJ
esrj-65215	78	19	,	,	PUNCT
esrj-65215	78	20	st	st	PROPN
esrj-65215	78	21	=	=	SYM
esrj-65215	78	22	0	0	NUM
esrj-65215	78	23	means	mean	VERB
esrj-65215	78	24	it	it	PRON
esrj-65215	78	25	is	be	AUX
esrj-65215	78	26	the	the	DET
esrj-65215	78	27	outlier	outlier	NOUN
esrj-65215	78	28	.	.	PUNCT
esrj-65215	79	1	so	so	ADV
esrj-65215	79	2	the	the	DET
esrj-65215	79	3	detection	detection	NOUN
esrj-65215	79	4	criteria	criterion	NOUN
esrj-65215	79	5	can	can	AUX
esrj-65215	79	6	be	be	AUX
esrj-65215	79	7	expressed	express	VERB
esrj-65215	79	8	that	that	SCONJ
esrj-65215	79	9	:	:	PUNCT
esrj-65215	79	10	(	(	PUNCT
esrj-65215	79	11	24	24	NUM
esrj-65215	79	12	)	)	PUNCT
esrj-65215	79	13	in	in	ADP
esrj-65215	79	14	equation	equation	NOUN
esrj-65215	79	15	23	23	NUM
esrj-65215	79	16	,	,	PUNCT
esrj-65215	79	17	the	the	DET
esrj-65215	79	18	subscript	subscript	NOUN
esrj-65215	79	19	p	p	NOUN
esrj-65215	79	20	is	be	AUX
esrj-65215	79	21	the	the	DET
esrj-65215	79	22	optimal	optimal	ADJ
esrj-65215	79	23	model	model	NOUN
esrj-65215	79	24	order	order	NOUN
esrj-65215	79	25	calculated	calculate	VERB
esrj-65215	79	26	by	by	ADP
esrj-65215	79	27	kicvc	kicvc	NOUN
esrj-65215	79	28	criteria	criterion	NOUN
esrj-65215	79	29	whose	whose	DET
esrj-65215	79	30	expression	expression	NOUN
esrj-65215	79	31	is	be	AUX
esrj-65215	79	32	:	:	PUNCT
esrj-65215	79	33	(	(	PUNCT
esrj-65215	79	34	25	25	NUM
esrj-65215	79	35	)	)	PUNCT
esrj-65215	79	36	in	in	ADP
esrj-65215	79	37	equation	equation	NOUN
esrj-65215	79	38	25	25	NUM
esrj-65215	79	39	,	,	PUNCT
esrj-65215	79	40	is	be	AUX
esrj-65215	79	41	the	the	DET
esrj-65215	79	42	mean	mean	NOUN
esrj-65215	79	43	of	of	ADP
esrj-65215	79	44	residual	residual	ADJ
esrj-65215	79	45	ɛk	ɛk	PROPN
esrj-65215	79	46	(	(	PUNCT
esrj-65215	79	47	t	t	PROPN
esrj-65215	79	48	)	)	PUNCT
esrj-65215	79	49	under	under	ADP
esrj-65215	79	50	various	various	ADJ
esrj-65215	79	51	model	model	NOUN
esrj-65215	79	52	order	order	NOUN
esrj-65215	79	53	(	(	PUNCT
esrj-65215	79	54	bilmes	bilme	NOUN
esrj-65215	79	55	,	,	PUNCT
esrj-65215	79	56	2006	2006	NUM
esrj-65215	79	57	)	)	PUNCT
esrj-65215	79	58	.	.	PUNCT
esrj-65215	80	1	(	(	PUNCT
esrj-65215	80	2	26	26	NUM
esrj-65215	80	3	)	)	PUNCT
esrj-65215	80	4	(	(	PUNCT
esrj-65215	80	5	27	27	NUM
esrj-65215	80	6	)	)	PUNCT
esrj-65215	80	7	two	two	NUM
esrj-65215	80	8	step	step	NOUN
esrj-65215	80	9	-	-	PUNCT
esrj-65215	80	10	final	final	ADJ
esrj-65215	80	11	detection	detection	NOUN
esrj-65215	80	12	in	in	ADP
esrj-65215	80	13	final	final	ADJ
esrj-65215	80	14	detection	detection	NOUN
esrj-65215	80	15	,	,	PUNCT
esrj-65215	80	16	the	the	DET
esrj-65215	80	17	result	result	NOUN
esrj-65215	80	18	of	of	ADP
esrj-65215	80	19	preliminary	preliminary	ADJ
esrj-65215	80	20	detection	detection	NOUN
esrj-65215	80	21	is	be	AUX
esrj-65215	80	22	the	the	DET
esrj-65215	80	23	observed	observe	VERB
esrj-65215	80	24	value	value	NOUN
esrj-65215	80	25	of	of	ADP
esrj-65215	80	26	hmm	hmm	INTJ
esrj-65215	80	27	.	.	PUNCT
esrj-65215	81	1	so	so	ADV
esrj-65215	81	2	the	the	DET
esrj-65215	81	3	final	final	ADJ
esrj-65215	81	4	detection	detection	NOUN
esrj-65215	81	5	result	result	NOUN
esrj-65215	81	6	obtained	obtain	VERB
esrj-65215	81	7	by	by	ADP
esrj-65215	81	8	viterbi	viterbi	ADJ
esrj-65215	81	9	algorithm	algorithm	NOUN
esrj-65215	81	10	(	(	PUNCT
esrj-65215	81	11	abd	abd	PROPN
esrj-65215	81	12	-	-	PUNCT
esrj-65215	81	13	krim	krim	PROPN
esrj-65215	81	14	,	,	PUNCT
esrj-65215	81	15	2006	2006	NUM
esrj-65215	81	16	):	):	PUNCT
esrj-65215	81	17	(	(	PUNCT
esrj-65215	81	18	28	28	NUM
esrj-65215	81	19	)	)	PUNCT
esrj-65215	81	20	for	for	ADP
esrj-65215	81	21	improved	improved	ADJ
esrj-65215	81	22	arhmm	arhmm	NOUN
esrj-65215	81	23	algorithm	algorithm	NOUN
esrj-65215	81	24	,	,	PUNCT
esrj-65215	81	25	when	when	SCONJ
esrj-65215	81	26	the	the	DET
esrj-65215	81	27	data	datum	NOUN
esrj-65215	81	28	at	at	ADP
esrj-65215	81	29	t	t	PROPN
esrj-65215	81	30	time	time	NOUN
esrj-65215	81	31	is	be	AUX
esrj-65215	81	32	detected	detect	VERB
esrj-65215	81	33	,	,	PUNCT
esrj-65215	81	34	the	the	DET
esrj-65215	81	35	data	datum	NOUN
esrj-65215	81	36	before	before	ADP
esrj-65215	81	37	t	t	PROPN
esrj-65215	81	38	time	time	NOUN
esrj-65215	81	39	already	already	ADV
esrj-65215	81	40	is	be	AUX
esrj-65215	81	41	detected	detect	VERB
esrj-65215	81	42	.	.	PUNCT
esrj-65215	82	1	so	so	ADV
esrj-65215	82	2	the	the	DET
esrj-65215	82	3	traditional	traditional	ADJ
esrj-65215	82	4	viterbi	viterbi	ADJ
esrj-65215	82	5	algorithm	algorithm	NOUN
esrj-65215	82	6	is	be	AUX
esrj-65215	82	7	request	request	NOUN
esrj-65215	82	8	into	into	ADP
esrj-65215	82	9	:	:	PUNCT
esrj-65215	82	10	(	(	PUNCT
esrj-65215	82	11	29	29	NUM
esrj-65215	82	12	)	)	PUNCT
esrj-65215	82	13	(	(	PUNCT
esrj-65215	82	14	30	30	X
esrj-65215	82	15	)	)	PUNCT
esrj-65215	82	16	parameters	parameter	NOUN
esrj-65215	82	17	updating	update	VERB
esrj-65215	82	18	by	by	ADP
esrj-65215	82	19	outlier	outlier	NOUN
esrj-65215	82	20	the	the	DET
esrj-65215	82	21	parameters	parameter	NOUN
esrj-65215	82	22	of	of	ADP
esrj-65215	82	23	order	order	NOUN
esrj-65215	82	24	self	self	NOUN
esrj-65215	82	25	-	-	PUNCT
esrj-65215	82	26	learning	learn	VERB
esrj-65215	82	27	arhmm	arhmm	NOUN
esrj-65215	82	28	algorithm	algorithm	NOUN
esrj-65215	82	29	need	need	VERB
esrj-65215	82	30	update	update	NOUN
esrj-65215	82	31	online	online	ADV
esrj-65215	82	32	,	,	PUNCT
esrj-65215	82	33	and	and	CCONJ
esrj-65215	82	34	the	the	DET
esrj-65215	82	35	parameters	parameter	NOUN
esrj-65215	82	36	are	be	AUX
esrj-65215	82	37	estimated	estimate	VERB
esrj-65215	82	38	residual	residual	ADJ
esrj-65215	82	39	mean	mean	NOUN
esrj-65215	82	40	,	,	PUNCT
esrj-65215	82	41	state	state	NOUN
esrj-65215	82	42	transition	transition	NOUN
esrj-65215	82	43	matrix	matrix	NOUN
esrj-65215	82	44	a	a	PRON
esrj-65215	82	45	,	,	PUNCT
esrj-65215	82	46	and	and	CCONJ
esrj-65215	82	47	in	in	ADP
esrj-65215	82	48	improved	improved	ADJ
esrj-65215	82	49	bdt	bdt	NOUN
esrj-65215	82	50	algorithm	algorithm	NOUN
esrj-65215	82	51	.	.	PUNCT
esrj-65215	83	1	specific	specific	ADJ
esrj-65215	83	2	update	update	NOUN
esrj-65215	83	3	algorithm	algorithm	NOUN
esrj-65215	83	4	is	be	AUX
esrj-65215	83	5	as	as	SCONJ
esrj-65215	83	6	follows	follow	VERB
esrj-65215	83	7	:	:	PUNCT
esrj-65215	83	8	figure	figure	NOUN
esrj-65215	83	9	1	1	NUM
esrj-65215	83	10	.	.	PUNCT
esrj-65215	84	1	flow	flow	VERB
esrj-65215	84	2	chart	chart	NOUN
esrj-65215	84	3	of	of	ADP
esrj-65215	84	4	double	double	ADJ
esrj-65215	84	5	iteration	iteration	NOUN
esrj-65215	84	6	algorithm	algorithm	NOUN
esrj-65215	84	7	implementation	implementation	NOUN
esrj-65215	84	8	of	of	ADP
esrj-65215	84	9	order	order	NOUN
esrj-65215	84	10	self	self	NOUN
esrj-65215	84	11	-	-	PUNCT
esrj-65215	84	12	learning	learn	VERB
esrj-65215	84	13	arhmm	arhmm	NOUN
esrj-65215	84	14	detection	detection	NOUN
esrj-65215	84	15	algorithm	algorithm	NOUN
esrj-65215	84	16	the	the	DET
esrj-65215	84	17	traditional	traditional	ADJ
esrj-65215	84	18	arhmm	arhmm	NOUN
esrj-65215	84	19	structure	structure	NOUN
esrj-65215	84	20	is	be	AUX
esrj-65215	84	21	composed	compose	VERB
esrj-65215	84	22	of	of	ADP
esrj-65215	84	23	two	two	NUM
esrj-65215	84	24	parts	part	NOUN
esrj-65215	84	25	(	(	PUNCT
esrj-65215	84	26	wang	wang	PROPN
esrj-65215	84	27	,	,	PUNCT
esrj-65215	84	28	&	&	CCONJ
esrj-65215	84	29	chiang	chiang	PROPN
esrj-65215	84	30	,	,	PUNCT
esrj-65215	84	31	2008	2008	NUM
esrj-65215	84	32	):	):	PUNCT
esrj-65215	84	33	one	one	NUM
esrj-65215	84	34	is	be	AUX
esrj-65215	84	35	markov	markov	NOUN
esrj-65215	84	36	chain	chain	NOUN
esrj-65215	84	37	,	,	PUNCT
esrj-65215	84	38	which	which	PRON
esrj-65215	84	39	is	be	AUX
esrj-65215	84	40	expressed	express	VERB
esrj-65215	84	41	as	as	ADP
esrj-65215	84	42	initial	initial	ADJ
esrj-65215	84	43	state	state	NOUN
esrj-65215	84	44	probability	probability	NOUN
esrj-65215	84	45	π	π	PROPN
esrj-65215	84	46	and	and	CCONJ
esrj-65215	84	47	state	state	NOUN
esrj-65215	84	48	transition	transition	NOUN
esrj-65215	84	49	matrix	matrix	NOUN
esrj-65215	84	50	in	in	ADP
esrj-65215	84	51	which	which	PRON
esrj-65215	84	52	st	st	PROPN
esrj-65215	84	53	is	be	AUX
esrj-65215	84	54	the	the	DET
esrj-65215	84	55	state	state	NOUN
esrj-65215	84	56	at	at	ADP
esrj-65215	84	57	time	time	NOUN
esrj-65215	84	58	t	t	PROPN
esrj-65215	84	59	,	,	PUNCT
esrj-65215	84	60	n	n	X
esrj-65215	84	61	is	be	AUX
esrj-65215	84	62	the	the	DET
esrj-65215	84	63	total	total	ADJ
esrj-65215	84	64	state	state	NOUN
esrj-65215	84	65	for	for	ADP
esrj-65215	84	66	hmm	hmm	NOUN
esrj-65215	84	67	,	,	PUNCT
esrj-65215	84	68	and	and	CCONJ
esrj-65215	84	69	is	be	AUX
esrj-65215	84	70	a	a	DET
esrj-65215	84	71	138	138	NUM
esrj-65215	84	72	jianjun	jianjun	PROPN
esrj-65215	84	73	zhao	zhao	PROPN
esrj-65215	84	74	,	,	PUNCT
esrj-65215	84	75	junwu	junwu	PROPN
esrj-65215	84	76	zhou	zhou	PROPN
esrj-65215	84	77	,	,	PUNCT
esrj-65215	84	78	weixing	weixe	VERB
esrj-65215	84	79	su	su	PROPN
esrj-65215	84	80	,	,	PUNCT
esrj-65215	84	81	fang	fang	PROPN
esrj-65215	84	82	liu	liu	PROPN
esrj-65215	84	83	(	(	PUNCT
esrj-65215	84	84	a	a	PROPN
esrj-65215	84	85	)	)	PUNCT
esrj-65215	84	86	:	:	PUNCT
esrj-65215	84	87	if	if	SCONJ
esrj-65215	84	88	is	be	AUX
esrj-65215	84	89	normal	normal	ADJ
esrj-65215	84	90	data	datum	NOUN
esrj-65215	84	91	,	,	PUNCT
esrj-65215	84	92	then	then	ADV
esrj-65215	84	93	maintained	maintain	VERB
esrj-65215	84	94	by	by	ADP
esrj-65215	84	95	equations	equation	NOUN
esrj-65215	84	96	30	30	NUM
esrj-65215	84	97	,	,	PUNCT
esrj-65215	84	98	31	31	NUM
esrj-65215	84	99	,	,	PUNCT
esrj-65215	84	100	otherwise	otherwise	ADV
esrj-65215	84	101	,	,	PUNCT
esrj-65215	84	102	not	not	PART
esrj-65215	84	103	updated	update	VERB
esrj-65215	84	104	at	at	ADP
esrj-65215	84	105	time	time	NOUN
esrj-65215	84	106	t.	t.	PROPN
esrj-65215	84	107	(	(	PUNCT
esrj-65215	84	108	b	b	NOUN
esrj-65215	84	109	)	)	PUNCT
esrj-65215	84	110	:	:	PUNCT
esrj-65215	84	111	since	since	SCONJ
esrj-65215	84	112	there	there	PRON
esrj-65215	84	113	are	be	VERB
esrj-65215	84	114	two	two	NUM
esrj-65215	84	115	states	state	NOUN
esrj-65215	84	116	in	in	ADP
esrj-65215	84	117	arhmm	arhmm	NOUN
esrj-65215	84	118	algorithm	algorithm	NOUN
esrj-65215	84	119	.	.	PUNCT
esrj-65215	85	1	so	so	ADV
esrj-65215	85	2	the	the	DET
esrj-65215	85	3	updated	update	VERB
esrj-65215	85	4	algorithm	algorithm	NOUN
esrj-65215	85	5	is	be	AUX
esrj-65215	85	6	:	:	PUNCT
esrj-65215	85	7	(	(	PUNCT
esrj-65215	85	8	31	31	NUM
esrj-65215	85	9	)	)	PUNCT
esrj-65215	85	10	in	in	ADP
esrj-65215	85	11	equation	equation	NOUN
esrj-65215	85	12	31	31	NUM
esrj-65215	85	13	,	,	PUNCT
esrj-65215	85	14	n	n	CCONJ
esrj-65215	85	15	(	(	PUNCT
esrj-65215	85	16	ay	ay	X
esrj-65215	85	17	)	)	PUNCT
esrj-65215	85	18	indicates	indicate	VERB
esrj-65215	85	19	the	the	DET
esrj-65215	85	20	times	time	NOUN
esrj-65215	85	21	of	of	ADP
esrj-65215	85	22	the	the	DET
esrj-65215	85	23	situation	situation	NOUN
esrj-65215	85	24	that	that	PRON
esrj-65215	85	25	st-1	st-1	VERB
esrj-65215	85	26	=	=	SYM
esrj-65215	85	27	i	i	PROPN
esrj-65215	85	28	,	,	PUNCT
esrj-65215	85	29	st	st	PROPN
esrj-65215	85	30	=	=	SYM
esrj-65215	85	31	j	j	PROPN
esrj-65215	85	32	,	,	PUNCT
esrj-65215	85	33	appears	appear	VERB
esrj-65215	85	34	(	(	PUNCT
esrj-65215	85	35	lou	lou	PROPN
esrj-65215	85	36	,	,	PUNCT
esrj-65215	85	37	195	195	NUM
esrj-65215	85	38	)	)	PUNCT
esrj-65215	85	39	.	.	PUNCT
esrj-65215	86	1	(	(	PUNCT
esrj-65215	86	2	c	c	X
esrj-65215	86	3	)	)	PUNCT
esrj-65215	86	4	,	,	PUNCT
esrj-65215	86	5	:	:	PUNCT
esrj-65215	86	6	is	be	AUX
esrj-65215	86	7	normal	normal	ADJ
esrj-65215	86	8	data	datum	NOUN
esrj-65215	86	9	,	,	PUNCT
esrj-65215	86	10	then	then	ADV
esrj-65215	86	11	,	,	PUNCT
esrj-65215	86	12	calculated	calculate	VERB
esrj-65215	86	13	by	by	ADP
esrj-65215	86	14	equation(14	equation(14	PROPN
esrj-65215	86	15	)	)	PUNCT
esrj-65215	86	16	,	,	PUNCT
esrj-65215	86	17	otherwise	otherwise	ADV
esrj-65215	86	18	,	,	PUNCT
esrj-65215	86	19	using	use	VERB
esrj-65215	86	20	data	datum	NOUN
esrj-65215	86	21	means	mean	NOUN
esrj-65215	86	22	to	to	PART
esrj-65215	86	23	replace	replace	VERB
esrj-65215	86	24	xt	xt	PROPN
esrj-65215	86	25	.	.	PUNCT
esrj-65215	87	1	(	(	PUNCT
esrj-65215	87	2	d	d	X
esrj-65215	87	3	)	)	PUNCT
esrj-65215	87	4	is	be	AUX
esrj-65215	87	5	normal	normal	ADJ
esrj-65215	87	6	data	datum	NOUN
esrj-65215	87	7	,	,	PUNCT
esrj-65215	87	8	then	then	ADV
esrj-65215	87	9	calculated	calculate	VERB
esrj-65215	87	10	by	by	ADP
esrj-65215	87	11	equation	equation	NOUN
esrj-65215	87	12	19	19	NUM
esrj-65215	87	13	;	;	PUNCT
esrj-65215	87	14	otherwise	otherwise	ADV
esrj-65215	87	15	,	,	PUNCT
esrj-65215	87	16	it	it	PRON
esrj-65215	87	17	calculated	calculate	VERB
esrj-65215	87	18	by	by	ADP
esrj-65215	87	19	equation	equation	NOUN
esrj-65215	87	20	(	(	PUNCT
esrj-65215	87	21	32	32	NUM
esrj-65215	87	22	)	)	PUNCT
esrj-65215	87	23	.	.	PUNCT
esrj-65215	88	1	(	(	PUNCT
esrj-65215	88	2	32	32	NUM
esrj-65215	88	3	)	)	PUNCT
esrj-65215	88	4	(	(	PUNCT
esrj-65215	88	5	e	e	NOUN
esrj-65215	88	6	)	)	PUNCT
esrj-65215	88	7	is	be	AUX
esrj-65215	88	8	normal	normal	ADJ
esrj-65215	88	9	data	datum	NOUN
esrj-65215	88	10	,	,	PUNCT
esrj-65215	88	11	then	then	ADV
esrj-65215	88	12	calculated	calculate	VERB
esrj-65215	88	13	by	by	ADP
esrj-65215	88	14	equation	equation	NOUN
esrj-65215	88	15	(	(	PUNCT
esrj-65215	88	16	18	18	NUM
esrj-65215	88	17	)	)	PUNCT
esrj-65215	88	18	;	;	PUNCT
esrj-65215	88	19	otherwise	otherwise	ADV
esrj-65215	88	20	,	,	PUNCT
esrj-65215	88	21	it	it	PRON
esrj-65215	88	22	calculated	calculate	VERB
esrj-65215	88	23	by	by	ADP
esrj-65215	88	24	equation	equation	NOUN
esrj-65215	88	25	33	33	NUM
esrj-65215	88	26	.	.	PUNCT
esrj-65215	89	1	(	(	PUNCT
esrj-65215	89	2	33	33	NUM
esrj-65215	89	3	)	)	PUNCT
esrj-65215	89	4	results	result	NOUN
esrj-65215	89	5	and	and	CCONJ
esrj-65215	89	6	discussion	discussion	NOUN
esrj-65215	89	7	model	model	NOUN
esrj-65215	89	8	-	-	PUNCT
esrj-65215	89	9	based	base	VERB
esrj-65215	89	10	validations	validation	NOUN
esrj-65215	89	11	to	to	PART
esrj-65215	89	12	verify	verify	VERB
esrj-65215	89	13	the	the	DET
esrj-65215	89	14	accuracy	accuracy	NOUN
esrj-65215	89	15	of	of	ADP
esrj-65215	89	16	the	the	DET
esrj-65215	89	17	algorithm	algorithm	NOUN
esrj-65215	89	18	to	to	PART
esrj-65215	89	19	detect	detect	VERB
esrj-65215	89	20	the	the	DET
esrj-65215	89	21	order	order	NOUN
esrj-65215	89	22	of	of	ADP
esrj-65215	89	23	the	the	DET
esrj-65215	89	24	model	model	NOUN
esrj-65215	89	25	,	,	PUNCT
esrj-65215	89	26	the	the	DET
esrj-65215	89	27	three	three	NUM
esrj-65215	89	28	order	order	NOUN
esrj-65215	89	29	model	model	NOUN
esrj-65215	89	30	which	which	PRON
esrj-65215	89	31	reacting	react	VERB
esrj-65215	89	32	ore	ore	NOUN
esrj-65215	89	33	detection	detection	NOUN
esrj-65215	89	34	interference	interference	NOUN
esrj-65215	89	35	process	process	NOUN
esrj-65215	89	36	are	be	AUX
esrj-65215	89	37	used	use	VERB
esrj-65215	89	38	to	to	PART
esrj-65215	89	39	generate	generate	VERB
esrj-65215	89	40	the	the	DET
esrj-65215	89	41	data	datum	NOUN
esrj-65215	89	42	.	.	PUNCT
esrj-65215	90	1	the	the	DET
esrj-65215	90	2	data	datum	NOUN
esrj-65215	90	3	is	be	AUX
esrj-65215	90	4	shown	show	VERB
esrj-65215	90	5	in	in	ADP
esrj-65215	90	6	figure	figure	NOUN
esrj-65215	90	7	2-(a	2-(a	NUM
esrj-65215	90	8	)	)	PUNCT
esrj-65215	90	9	,	,	PUNCT
esrj-65215	90	10	and	and	CCONJ
esrj-65215	90	11	the	the	DET
esrj-65215	90	12	order	order	NOUN
esrj-65215	90	13	detection	detection	NOUN
esrj-65215	90	14	results	result	NOUN
esrj-65215	90	15	are	be	AUX
esrj-65215	90	16	shown	show	VERB
esrj-65215	90	17	in	in	ADP
esrj-65215	90	18	figure	figure	NOUN
esrj-65215	90	19	2-(b	2-(b	NUM
esrj-65215	90	20	)	)	PUNCT
esrj-65215	90	21	.	.	PUNCT
esrj-65215	91	1	in	in	ADP
esrj-65215	91	2	which	which	PRON
esrj-65215	91	3	:	:	PUNCT
esrj-65215	91	4	(	(	PUNCT
esrj-65215	91	5	35	35	NUM
esrj-65215	91	6	)	)	PUNCT
esrj-65215	91	7	as	as	SCONJ
esrj-65215	91	8	can	can	AUX
esrj-65215	91	9	be	be	AUX
esrj-65215	91	10	seen	see	VERB
esrj-65215	91	11	from	from	ADP
esrj-65215	91	12	(	(	PUNCT
esrj-65215	91	13	34	34	NUM
esrj-65215	91	14	)	)	PUNCT
esrj-65215	91	15	,	,	PUNCT
esrj-65215	91	16	there	there	PRON
esrj-65215	91	17	are	be	VERB
esrj-65215	91	18	time	time	NOUN
esrj-65215	91	19	vary	vary	NOUN
esrj-65215	91	20	parameters	parameter	NOUN
esrj-65215	91	21	on	on	ADP
esrj-65215	91	22	the	the	DET
esrj-65215	91	23	denominator	denominator	NOUN
esrj-65215	91	24	.	.	PUNCT
esrj-65215	92	1	to	to	PART
esrj-65215	92	2	verify	verify	VERB
esrj-65215	92	3	the	the	DET
esrj-65215	92	4	robustness	robustness	NOUN
esrj-65215	92	5	of	of	ADP
esrj-65215	92	6	the	the	DET
esrj-65215	92	7	algorithm	algorithm	NOUN
esrj-65215	92	8	,	,	PUNCT
esrj-65215	92	9	we	we	PRON
esrj-65215	92	10	add	add	VERB
esrj-65215	92	11	10	10	NUM
esrj-65215	92	12	%	%	NOUN
esrj-65215	92	13	of	of	ADP
esrj-65215	92	14	the	the	DET
esrj-65215	92	15	white	white	ADJ
esrj-65215	92	16	noise	noise	NOUN
esrj-65215	92	17	and	and	CCONJ
esrj-65215	92	18	eight	eight	NUM
esrj-65215	92	19	anomalies	anomaly	NOUN
esrj-65215	92	20	.	.	PUNCT
esrj-65215	93	1	the	the	DET
esrj-65215	93	2	data	datum	NOUN
esrj-65215	93	3	is	be	AUX
esrj-65215	93	4	shown	show	VERB
esrj-65215	93	5	in	in	ADP
esrj-65215	93	6	figure	figure	NOUN
esrj-65215	93	7	3-(a	3-(a	NUM
esrj-65215	93	8	)	)	PUNCT
esrj-65215	93	9	,	,	PUNCT
esrj-65215	93	10	and	and	CCONJ
esrj-65215	93	11	the	the	DET
esrj-65215	93	12	order	order	NOUN
esrj-65215	93	13	detection	detection	NOUN
esrj-65215	93	14	results	result	NOUN
esrj-65215	93	15	and	and	CCONJ
esrj-65215	93	16	outliers	outlier	NOUN
esrj-65215	93	17	detected	detect	VERB
esrj-65215	93	18	results	result	NOUN
esrj-65215	93	19	are	be	AUX
esrj-65215	93	20	shown	show	VERB
esrj-65215	93	21	in	in	ADP
esrj-65215	93	22	figure	figure	NOUN
esrj-65215	93	23	3-(b	3-(b	NUM
esrj-65215	93	24	)	)	PUNCT
esrj-65215	93	25	and	and	CCONJ
esrj-65215	93	26	figure	figure	NOUN
esrj-65215	93	27	3-(c	3-(c	NUM
esrj-65215	93	28	)	)	PUNCT
esrj-65215	93	29	.	.	PUNCT
esrj-65215	94	1	figure	figure	NOUN
esrj-65215	94	2	2	2	NUM
esrj-65215	94	3	.	.	PUNCT
esrj-65215	94	4	data	datum	NOUN
esrj-65215	94	5	and	and	CCONJ
esrj-65215	94	6	results	result	NOUN
esrj-65215	94	7	of	of	ADP
esrj-65215	94	8	order	order	NOUN
esrj-65215	94	9	detection	detection	NOUN
esrj-65215	94	10	as	as	SCONJ
esrj-65215	94	11	can	can	AUX
esrj-65215	94	12	be	be	AUX
esrj-65215	94	13	seen	see	VERB
esrj-65215	94	14	from	from	ADP
esrj-65215	94	15	the	the	DET
esrj-65215	94	16	order	order	NOUN
esrj-65215	94	17	detection	detection	NOUN
esrj-65215	94	18	results	result	NOUN
esrj-65215	94	19	,	,	PUNCT
esrj-65215	94	20	the	the	DET
esrj-65215	94	21	proposed	propose	VERB
esrj-65215	94	22	algorithm	algorithm	NOUN
esrj-65215	94	23	can	can	AUX
esrj-65215	94	24	accurately	accurately	ADV
esrj-65215	94	25	detect	detect	VERB
esrj-65215	94	26	the	the	DET
esrj-65215	94	27	model	model	NOUN
esrj-65215	94	28	order	order	NOUN
esrj-65215	94	29	through	through	ADP
esrj-65215	94	30	the	the	DET
esrj-65215	94	31	short	short	ADJ
esrj-65215	94	32	-	-	PUNCT
esrj-65215	94	33	term	term	NOUN
esrj-65215	94	34	adjustment	adjustment	NOUN
esrj-65215	94	35	process	process	NOUN
esrj-65215	94	36	.	.	PUNCT
esrj-65215	95	1	with	with	ADP
esrj-65215	95	2	a	a	DET
esrj-65215	95	3	view	view	NOUN
esrj-65215	95	4	to	to	PART
esrj-65215	95	5	verify	verify	VERB
esrj-65215	95	6	that	that	SCONJ
esrj-65215	95	7	the	the	DET
esrj-65215	95	8	proposed	propose	VERB
esrj-65215	95	9	algorithm	algorithm	NOUN
esrj-65215	95	10	not	not	PART
esrj-65215	95	11	only	only	ADV
esrj-65215	95	12	can	can	AUX
esrj-65215	95	13	identify	identify	VERB
esrj-65215	95	14	the	the	DET
esrj-65215	95	15	optimal	optimal	ADJ
esrj-65215	95	16	model	model	NOUN
esrj-65215	95	17	order	order	NOUN
esrj-65215	95	18	but	but	CCONJ
esrj-65215	95	19	also	also	ADV
esrj-65215	95	20	can	can	AUX
esrj-65215	95	21	detect	detect	VERB
esrj-65215	95	22	the	the	DET
esrj-65215	95	23	abnormal	abnormal	ADJ
esrj-65215	95	24	data	datum	NOUN
esrj-65215	95	25	accurately	accurately	ADV
esrj-65215	95	26	.	.	PUNCT
esrj-65215	96	1	we	we	PRON
esrj-65215	96	2	modified	modify	VERB
esrj-65215	96	3	the	the	DET
esrj-65215	96	4	open	open	ADJ
esrj-65215	96	5	-	-	PUNCT
esrj-65215	96	6	loop	loop	NOUN
esrj-65215	96	7	model	model	NOUN
esrj-65215	96	8	mentioned	mention	VERB
esrj-65215	96	9	in	in	ADP
esrj-65215	96	10	the	the	DET
esrj-65215	96	11	alex	alex	PROPN
esrj-65215	96	12	alexandridis	alexandridis	PROPN
esrj-65215	96	13	paper	paper	NOUN
esrj-65215	96	14	to	to	PART
esrj-65215	96	15	get	get	VERB
esrj-65215	96	16	the	the	DET
esrj-65215	96	17	second	second	ADJ
esrj-65215	96	18	set	set	NOUN
esrj-65215	96	19	of	of	ADP
esrj-65215	96	20	data	datum	NOUN
esrj-65215	96	21	(	(	PUNCT
esrj-65215	96	22	alexandridis	alexandridis	PROPN
esrj-65215	96	23	,	,	PUNCT
esrj-65215	96	24	sarimveis	sarimveis	NOUN
esrj-65215	96	25	,	,	PUNCT
esrj-65215	96	26	&	&	CCONJ
esrj-65215	96	27	bafas	bafas	NOUN
esrj-65215	96	28	,	,	PUNCT
esrj-65215	96	29	2003	2003	NUM
esrj-65215	96	30	)	)	PUNCT
esrj-65215	96	31	.	.	PUNCT
esrj-65215	97	1	rabiner	rabiner	PROPN
esrj-65215	97	2	1989	1989	NUM
esrj-65215	97	3	)	)	PUNCT
esrj-65215	97	4	.	.	PUNCT
esrj-65215	98	1	the	the	DET
esrj-65215	98	2	modified	modify	VERB
esrj-65215	98	3	model	model	NOUN
esrj-65215	98	4	is	be	AUX
esrj-65215	98	5	as	as	SCONJ
esrj-65215	98	6	follows	follow	VERB
esrj-65215	98	7	:	:	PUNCT
esrj-65215	98	8	(	(	PUNCT
esrj-65215	98	9	34	34	NUM
esrj-65215	98	10	)	)	PUNCT
esrj-65215	98	11	figure	figure	NOUN
esrj-65215	98	12	3	3	NUM
esrj-65215	98	13	.	.	PUNCT
esrj-65215	98	14	data	datum	NOUN
esrj-65215	98	15	and	and	CCONJ
esrj-65215	98	16	detection	detection	NOUN
esrj-65215	98	17	results	result	NOUN
esrj-65215	98	18	for	for	ADP
esrj-65215	98	19	model	model	NOUN
esrj-65215	98	20	data	datum	NOUN
esrj-65215	98	21	fig.3-(a	fig.3-(a	NOUN
esrj-65215	98	22	)	)	PUNCT
esrj-65215	98	23	is	be	AUX
esrj-65215	98	24	the	the	DET
esrj-65215	98	25	data	datum	NOUN
esrj-65215	98	26	waiting	wait	VERB
esrj-65215	98	27	for	for	ADP
esrj-65215	98	28	detecting	detect	VERB
esrj-65215	98	29	.	.	PUNCT
esrj-65215	99	1	fig.3-(b	fig.3-(b	X
esrj-65215	99	2	)	)	PUNCT
esrj-65215	99	3	is	be	AUX
esrj-65215	99	4	the	the	DET
esrj-65215	99	5	order	order	NOUN
esrj-65215	99	6	estimated	estimate	VERB
esrj-65215	99	7	result	result	NOUN
esrj-65215	99	8	,	,	PUNCT
esrj-65215	99	9	and	and	CCONJ
esrj-65215	99	10	fig.3-(c	fig.3-(c	X
esrj-65215	99	11	)	)	PUNCT
esrj-65215	99	12	is	be	AUX
esrj-65215	99	13	the	the	DET
esrj-65215	99	14	outlier	outlier	ADJ
esrj-65215	99	15	detection	detection	NOUN
esrj-65215	99	16	result	result	NOUN
esrj-65215	99	17	.	.	PUNCT
esrj-65215	100	1	as	as	SCONJ
esrj-65215	100	2	can	can	AUX
esrj-65215	100	3	be	be	AUX
esrj-65215	100	4	seen	see	VERB
esrj-65215	100	5	from	from	ADP
esrj-65215	100	6	the	the	DET
esrj-65215	100	7	result	result	NOUN
esrj-65215	100	8	,	,	PUNCT
esrj-65215	100	9	for	for	SCONJ
esrj-65215	100	10	the	the	DET
esrj-65215	100	11	third	third	ADJ
esrj-65215	100	12	-	-	PUNCT
esrj-65215	100	13	order	order	NOUN
esrj-65215	100	14	nonlinear	nonlinear	ADJ
esrj-65215	100	15	time	time	NOUN
esrj-65215	100	16	-	-	PUNCT
esrj-65215	100	17	varying	vary	VERB
esrj-65215	100	18	system	system	NOUN
esrj-65215	100	19	,	,	PUNCT
esrj-65215	100	20	the	the	DET
esrj-65215	100	21	model	model	NOUN
esrj-65215	100	22	-	-	PUNCT
esrj-65215	100	23	order	order	NOUN
esrj-65215	100	24	self	self	NOUN
esrj-65215	100	25	-	-	PUNCT
esrj-65215	100	26	learning	learn	VERB
esrj-65215	100	27	algorithm	algorithm	NOUN
esrj-65215	100	28	proposed	propose	VERB
esrj-65215	100	29	in	in	ADP
esrj-65215	100	30	this	this	DET
esrj-65215	100	31	paper	paper	NOUN
esrj-65215	100	32	can	can	AUX
esrj-65215	100	33	find	find	VERB
esrj-65215	100	34	its	its	PRON
esrj-65215	100	35	optimal	optimal	ADJ
esrj-65215	100	36	model	model	NOUN
esrj-65215	100	37	order	order	NOUN
esrj-65215	100	38	and	and	CCONJ
esrj-65215	100	39	accurately	accurately	ADV
esrj-65215	100	40	detect	detect	VERB
esrj-65215	100	41	all	all	DET
esrj-65215	100	42	the	the	DET
esrj-65215	100	43	anomaly	anomaly	NOUN
esrj-65215	100	44	data	datum	NOUN
esrj-65215	100	45	.	.	PUNCT
esrj-65215	101	1	application	application	NOUN
esrj-65215	101	2	to	to	PART
esrj-65215	101	3	further	far	ADV
esrj-65215	101	4	verify	verify	VERB
esrj-65215	101	5	the	the	DET
esrj-65215	101	6	practicality	practicality	NOUN
esrj-65215	101	7	of	of	ADP
esrj-65215	101	8	the	the	DET
esrj-65215	101	9	improved	improved	ADJ
esrj-65215	101	10	arhmm	arhmm	NOUN
esrj-65215	101	11	outlier	outlier	NOUN
esrj-65215	101	12	identified	identify	VERB
esrj-65215	101	13	method	method	NOUN
esrj-65215	101	14	,	,	PUNCT
esrj-65215	101	15	it	it	PRON
esrj-65215	101	16	is	be	AUX
esrj-65215	101	17	applied	apply	VERB
esrj-65215	101	18	to	to	ADP
esrj-65215	101	19	the	the	DET
esrj-65215	101	20	on	on	ADP
esrj-65215	101	21	-	-	PUNCT
esrj-65215	101	22	stream	stream	NOUN
esrj-65215	101	23	x	x	NOUN
esrj-65215	101	24	-	-	NOUN
esrj-65215	101	25	ray	ray	NOUN
esrj-65215	101	26	fluorescence	fluorescence	NOUN
esrj-65215	101	27	analyzer	analyzer	NOUN
esrj-65215	101	28	,	,	PUNCT
esrj-65215	101	29	which	which	PRON
esrj-65215	101	30	,	,	PUNCT
esrj-65215	101	31	first	first	ADV
esrj-65215	101	32	of	of	ADP
esrj-65215	101	33	all	all	PRON
esrj-65215	101	34	,	,	PUNCT
esrj-65215	101	35	in	in	ADP
esrj-65215	101	36	the	the	DET
esrj-65215	101	37	last	last	ADJ
esrj-65215	101	38	century	century	NOUN
esrj-65215	101	39	70	70	NUM
esrj-65215	101	40	's	'	NOUN
esrj-65215	101	41	by	by	ADP
esrj-65215	101	42	the	the	DET
esrj-65215	101	43	finotec	finotec	ADJ
esrj-65215	101	44	outotec	outotec	NOUN
esrj-65215	101	45	company	company	NOUN
esrj-65215	101	46	successfully	successfully	ADV
esrj-65215	101	47	developed	develop	VERB
esrj-65215	101	48	and	and	CCONJ
esrj-65215	101	49	implemented	implement	VERB
esrj-65215	101	50	to	to	ADP
esrj-65215	101	51	mineral	mineral	NOUN
esrj-65215	101	52	processing	processing	NOUN
esrj-65215	101	53	practice	practice	NOUN
esrj-65215	101	54	.	.	PUNCT
esrj-65215	102	1	so	so	ADV
esrj-65215	102	2	far	far	ADV
esrj-65215	102	3	,	,	PUNCT
esrj-65215	102	4	finland	finland	PROPN
esrj-65215	102	5	outotec	outotec	PROPN
esrj-65215	102	6	company	company	NOUN
esrj-65215	102	7	still	still	ADV
esrj-65215	102	8	has	have	VERB
esrj-65215	102	9	more	more	ADJ
esrj-65215	102	10	than	than	ADP
esrj-65215	102	11	80	80	NUM
esrj-65215	102	12	%	%	NOUN
esrj-65215	102	13	market	market	NOUN
esrj-65215	102	14	share	share	NOUN
esrj-65215	102	15	.	.	PUNCT
esrj-65215	103	1	in	in	ADP
esrj-65215	103	2	china	china	PROPN
esrj-65215	103	3	,	,	PUNCT
esrj-65215	103	4	the	the	DET
esrj-65215	103	5	beijing	beijing	PROPN
esrj-65215	103	6	institute	institute	PROPN
esrj-65215	103	7	of	of	ADP
esrj-65215	103	8	mining	mining	NOUN
esrj-65215	103	9	and	and	CCONJ
esrj-65215	103	10	metallurgy	metallurgy	NOUN
esrj-65215	103	11	following	follow	VERB
esrj-65215	103	12	its	its	PRON
esrj-65215	103	13	analytical	analytical	ADJ
esrj-65215	103	14	principles	principle	NOUN
esrj-65215	103	15	,	,	PUNCT
esrj-65215	103	16	developed	develop	VERB
esrj-65215	103	17	in	in	ADP
esrj-65215	103	18	2014	2014	NUM
esrj-65215	103	19	with	with	ADP
esrj-65215	103	20	the	the	DET
esrj-65215	103	21	same	same	ADJ
esrj-65215	103	22	function	function	NOUN
esrj-65215	103	23	grade	grade	NOUN
esrj-65215	103	24	analyzer	analyzer	NOUN
esrj-65215	103	25	boxa	boxa	ADJ
esrj-65215	103	26	type	type	NOUN
esrj-65215	103	27	on	on	ADP
esrj-65215	103	28	-	-	PUNCT
esrj-65215	103	29	stream	stream	NOUN
esrj-65215	103	30	x	x	NOUN
esrj-65215	103	31	-	-	NOUN
esrj-65215	103	32	ray	ray	NOUN
esrj-65215	103	33	fluorescence	fluorescence	NOUN
esrj-65215	103	34	analyzer	analyzer	NOUN
esrj-65215	103	35	(	(	PUNCT
esrj-65215	103	36	hekimoglu	hekimoglu	PROPN
esrj-65215	103	37	,	,	PUNCT
esrj-65215	103	38	eernoglu	eernoglu	PROPN
esrj-65215	103	39	,	,	PUNCT
esrj-65215	103	40	&	&	CCONJ
esrj-65215	103	41	kalina	kalina	PROPN
esrj-65215	103	42	,	,	PUNCT
esrj-65215	103	43	2009	2009	NUM
esrj-65215	103	44	)	)	PUNCT
esrj-65215	103	45	.	.	PUNCT
esrj-65215	104	1	according	accord	VERB
esrj-65215	104	2	to	to	ADP
esrj-65215	104	3	foreign	foreign	ADJ
esrj-65215	104	4	reports	report	NOUN
esrj-65215	104	5	,	,	PUNCT
esrj-65215	104	6	the	the	DET
esrj-65215	104	7	measurement	measurement	NOUN
esrj-65215	104	8	accuracy	accuracy	NOUN
esrj-65215	104	9	of	of	ADP
esrj-65215	104	10	the	the	DET
esrj-65215	104	11	analyzer	analyzer	NOUN
esrj-65215	104	12	increased	increase	VERB
esrj-65215	104	13	by	by	ADP
esrj-65215	104	14	1	1	NUM
esrj-65215	104	15	%	%	NOUN
esrj-65215	104	16	,	,	PUNCT
esrj-65215	104	17	will	will	AUX
esrj-65215	104	18	effectively	effectively	ADV
esrj-65215	104	19	improve	improve	VERB
esrj-65215	104	20	the	the	DET
esrj-65215	104	21	metal	metal	NOUN
esrj-65215	104	22	recovery	recovery	NOUN
esrj-65215	104	23	rate	rate	NOUN
esrj-65215	104	24	of	of	ADP
esrj-65215	104	25	0.2	0.2	NUM
esrj-65215	104	26	or	or	CCONJ
esrj-65215	104	27	more	more	ADJ
esrj-65215	104	28	,	,	PUNCT
esrj-65215	104	29	and	and	CCONJ
esrj-65215	104	30	now	now	ADV
esrj-65215	104	31	from	from	ADP
esrj-65215	104	32	the	the	DET
esrj-65215	104	33	hardware	hardware	NOUN
esrj-65215	104	34	to	to	PART
esrj-65215	104	35	improve	improve	VERB
esrj-65215	104	36	measurement	measurement	NOUN
esrj-65215	104	37	accuracy	accuracy	NOUN
esrj-65215	104	38	has	have	AUX
esrj-65215	104	39	been	be	AUX
esrj-65215	104	40	very	very	ADV
esrj-65215	104	41	difficult	difficult	ADJ
esrj-65215	104	42	,	,	PUNCT
esrj-65215	104	43	or	or	CCONJ
esrj-65215	104	44	input	input	NOUN
esrj-65215	104	45	-	-	PUNCT
esrj-65215	104	46	output	output	NOUN
esrj-65215	104	47	serious	serious	ADJ
esrj-65215	104	48	disproportionate	disproportionate	ADJ
esrj-65215	104	49	,	,	PUNCT
esrj-65215	104	50	so	so	ADV
esrj-65215	104	51	more	more	ADJ
esrj-65215	104	52	scholars	scholar	NOUN
esrj-65215	104	53	turn	turn	VERB
esrj-65215	104	54	to	to	ADP
esrj-65215	104	55	the	the	DET
esrj-65215	104	56	analysis	analysis	NOUN
esrj-65215	104	57	of	of	ADP
esrj-65215	104	58	the	the	DET
esrj-65215	104	59	modeling	modeling	NOUN
esrj-65215	104	60	technology	technology	NOUN
esrj-65215	104	61	to	to	PART
esrj-65215	104	62	improve	improve	VERB
esrj-65215	104	63	research	research	NOUN
esrj-65215	104	64	.	.	PUNCT
esrj-65215	105	1	based	base	VERB
esrj-65215	105	2	on	on	ADP
esrj-65215	105	3	this	this	DET
esrj-65215	105	4	situation	situation	NOUN
esrj-65215	105	5	,	,	PUNCT
esrj-65215	105	6	the	the	DET
esrj-65215	105	7	accuracy	accuracy	NOUN
esrj-65215	105	8	of	of	ADP
esrj-65215	105	9	the	the	DET
esrj-65215	105	10	data	datum	NOUN
esrj-65215	105	11	for	for	ADP
esrj-65215	105	12	the	the	DET
esrj-65215	105	13	model	model	NOUN
esrj-65215	105	14	of	of	ADP
esrj-65215	105	15	learning	learning	NOUN
esrj-65215	105	16	is	be	AUX
esrj-65215	105	17	essential	essential	ADJ
esrj-65215	105	18	our	our	PRON
esrj-65215	105	19	comparative	comparative	ADJ
esrj-65215	105	20	tests	test	NOUN
esrj-65215	105	21	are	be	AUX
esrj-65215	105	22	as	as	SCONJ
esrj-65215	105	23	follows	follow	VERB
esrj-65215	105	24	:	:	PUNCT
esrj-65215	105	25	the	the	DET
esrj-65215	105	26	first	first	ADJ
esrj-65215	105	27	set	set	NOUN
esrj-65215	105	28	of	of	ADP
esrj-65215	105	29	data	datum	NOUN
esrj-65215	105	30	is	be	AUX
esrj-65215	105	31	obtained	obtain	VERB
esrj-65215	105	32	as	as	ADP
esrj-65215	105	33	follows	follow	VERB
esrj-65215	105	34	:	:	PUNCT
esrj-65215	105	35	first	first	ADV
esrj-65215	105	36	of	of	ADP
esrj-65215	105	37	all	all	PRON
esrj-65215	105	38	,	,	PUNCT
esrj-65215	105	39	we	we	PRON
esrj-65215	105	40	use	use	VERB
esrj-65215	105	41	the	the	DET
esrj-65215	105	42	improved	improved	ADJ
esrj-65215	105	43	arhmm	arhmm	NOUN
esrj-65215	105	44	outlier	outlier	NOUN
esrj-65215	105	45	detection	detection	NOUN
esrj-65215	105	46	algorithm	algorithm	NOUN
esrj-65215	105	47	proposed	propose	VERB
esrj-65215	105	48	in	in	ADP
esrj-65215	105	49	this	this	DET
esrj-65215	105	50	paper	paper	NOUN
esrj-65215	105	51	to	to	ADP
esrj-65215	105	52	pre	pre	VERB
esrj-65215	105	53	-	-	VERB
esrj-65215	105	54	process	process	VERB
esrj-65215	105	55	the	the	DET
esrj-65215	105	56	spectral	spectral	ADJ
esrj-65215	105	57	signal	signal	NOUN
esrj-65215	105	58	which	which	PRON
esrj-65215	105	59	as	as	ADP
esrj-65215	105	60	the	the	DET
esrj-65215	105	61	input	input	NOUN
esrj-65215	105	62	of	of	ADP
esrj-65215	105	63	the	the	DET
esrj-65215	105	64	analyzer	analyzer	NOUN
esrj-65215	105	65	,	,	PUNCT
esrj-65215	105	66	and	and	CCONJ
esrj-65215	105	67	get	get	VERB
esrj-65215	105	68	the	the	DET
esrj-65215	105	69	ore	ore	NOUN
esrj-65215	105	70	grade	grade	NOUN
esrj-65215	105	71	results	result	NOUN
esrj-65215	105	72	as	as	ADP
esrj-65215	105	73	the	the	DET
esrj-65215	105	74	first	first	ADJ
esrj-65215	105	75	set	set	NOUN
esrj-65215	105	76	of	of	ADP
esrj-65215	105	77	data	datum	NOUN
esrj-65215	105	78	.	.	PUNCT
esrj-65215	106	1	139online	139online	PROPN
esrj-65215	106	2	outlier	outlier	NOUN
esrj-65215	106	3	detection	detection	NOUN
esrj-65215	106	4	for	for	ADP
esrj-65215	106	5	time	time	NOUN
esrj-65215	106	6	-	-	PUNCT
esrj-65215	106	7	varying	vary	VERB
esrj-65215	106	8	time	time	NOUN
esrj-65215	106	9	series	series	NOUN
esrj-65215	106	10	on	on	ADP
esrj-65215	106	11	improved	improved	ADJ
esrj-65215	106	12	arhmm	arhmm	NOUN
esrj-65215	106	13	in	in	ADP
esrj-65215	106	14	geological	geological	ADJ
esrj-65215	106	15	mineral	mineral	NOUN
esrj-65215	106	16	grade	grade	NOUN
esrj-65215	106	17	analysis	analysis	NOUN
esrj-65215	106	18	process	process	NOUN
esrj-65215	106	19	the	the	DET
esrj-65215	106	20	second	second	ADJ
esrj-65215	106	21	set	set	NOUN
esrj-65215	106	22	of	of	ADP
esrj-65215	106	23	data	datum	NOUN
esrj-65215	106	24	is	be	AUX
esrj-65215	106	25	obtained	obtain	VERB
esrj-65215	106	26	as	as	SCONJ
esrj-65215	106	27	follows	follow	VERB
esrj-65215	106	28	:	:	PUNCT
esrj-65215	106	29	we	we	PRON
esrj-65215	106	30	use	use	VERB
esrj-65215	106	31	the	the	DET
esrj-65215	106	32	traditional	traditional	ADJ
esrj-65215	106	33	ar	ar	NOUN
esrj-65215	106	34	outlier	outlier	NOUN
esrj-65215	106	35	detection	detection	NOUN
esrj-65215	106	36	algorithm	algorithm	NOUN
esrj-65215	106	37	proposed	propose	VERB
esrj-65215	106	38	in	in	ADP
esrj-65215	106	39	paper	paper	NOUN
esrj-65215	106	40	by	by	ADP
esrj-65215	106	41	northey	northey	PROPN
esrj-65215	106	42	,	,	PUNCT
esrj-65215	106	43	mohr	mohr	PROPN
esrj-65215	106	44	,	,	PUNCT
esrj-65215	106	45	&	&	CCONJ
esrj-65215	106	46	mudd	mudd	PROPN
esrj-65215	106	47	(	(	PUNCT
esrj-65215	106	48	2014	2014	NUM
esrj-65215	106	49	)	)	PUNCT
esrj-65215	106	50	to	to	AUX
esrj-65215	106	51	pre	pre	VERB
esrj-65215	106	52	-	-	VERB
esrj-65215	106	53	process	process	VERB
esrj-65215	106	54	the	the	DET
esrj-65215	106	55	spectral	spectral	ADJ
esrj-65215	106	56	signal	signal	NOUN
esrj-65215	106	57	which	which	PRON
esrj-65215	106	58	as	as	ADP
esrj-65215	106	59	the	the	DET
esrj-65215	106	60	input	input	NOUN
esrj-65215	106	61	of	of	ADP
esrj-65215	106	62	the	the	DET
esrj-65215	106	63	analyzer	analyzer	NOUN
esrj-65215	106	64	,	,	PUNCT
esrj-65215	106	65	and	and	CCONJ
esrj-65215	106	66	get	get	VERB
esrj-65215	106	67	the	the	DET
esrj-65215	106	68	ore	ore	NOUN
esrj-65215	106	69	grade	grade	NOUN
esrj-65215	106	70	results	result	NOUN
esrj-65215	106	71	as	as	ADP
esrj-65215	106	72	the	the	DET
esrj-65215	106	73	second	second	ADJ
esrj-65215	106	74	set	set	NOUN
esrj-65215	106	75	of	of	ADP
esrj-65215	106	76	data	datum	NOUN
esrj-65215	106	77	.	.	PUNCT
esrj-65215	107	1	finally	finally	ADV
esrj-65215	107	2	,	,	PUNCT
esrj-65215	107	3	the	the	DET
esrj-65215	107	4	two	two	NUM
esrj-65215	107	5	sets	set	NOUN
esrj-65215	107	6	of	of	ADP
esrj-65215	107	7	data	datum	NOUN
esrj-65215	107	8	are	be	AUX
esrj-65215	107	9	compared	compare	VERB
esrj-65215	107	10	with	with	ADP
esrj-65215	107	11	the	the	DET
esrj-65215	107	12	results	result	NOUN
esrj-65215	107	13	of	of	ADP
esrj-65215	107	14	the	the	DET
esrj-65215	107	15	ore	ore	NOUN
esrj-65215	107	16	grade	grade	NOUN
esrj-65215	107	17	laboratory	laboratory	NOUN
esrj-65215	107	18	test	test	NOUN
esrj-65215	107	19	,	,	PUNCT
esrj-65215	107	20	the	the	DET
esrj-65215	107	21	error	error	NOUN
esrj-65215	107	22	of	of	ADP
esrj-65215	107	23	the	the	DET
esrj-65215	107	24	two	two	NUM
esrj-65215	107	25	groups	group	NOUN
esrj-65215	107	26	of	of	ADP
esrj-65215	107	27	test	test	NOUN
esrj-65215	107	28	results	result	NOUN
esrj-65215	107	29	as	as	SCONJ
esrj-65215	107	30	shown	show	VERB
esrj-65215	107	31	in	in	ADP
esrj-65215	107	32	table	table	NOUN
esrj-65215	107	33	1	1	NUM
esrj-65215	107	34	.	.	PUNCT
esrj-65215	107	35	table	table	NOUN
esrj-65215	107	36	1	1	NUM
esrj-65215	107	37	.	.	PUNCT
esrj-65215	108	1	the	the	DET
esrj-65215	108	2	result	result	NOUN
esrj-65215	108	3	of	of	ADP
esrj-65215	108	4	comparison	comparison	NOUN
esrj-65215	108	5	between	between	ADP
esrj-65215	108	6	with	with	ADP
esrj-65215	108	7	outlier	outlier	ADJ
esrj-65215	108	8	detection	detection	NOUN
esrj-65215	108	9	process	process	NOUN
esrj-65215	108	10	and	and	CCONJ
esrj-65215	108	11	without	without	ADP
esrj-65215	108	12	outlier	outlier	NOUN
esrj-65215	108	13	detection	detection	NOUN
esrj-65215	108	14	process	process	NOUN
esrj-65215	108	15	it	it	PRON
esrj-65215	108	16	can	can	AUX
esrj-65215	108	17	be	be	AUX
esrj-65215	108	18	seen	see	VERB
esrj-65215	108	19	from	from	ADP
esrj-65215	108	20	the	the	DET
esrj-65215	108	21	table	table	NOUN
esrj-65215	108	22	that	that	SCONJ
esrj-65215	108	23	there	there	PRON
esrj-65215	108	24	is	be	VERB
esrj-65215	108	25	higher	high	ADJ
esrj-65215	108	26	accuracy	accuracy	NOUN
esrj-65215	108	27	when	when	SCONJ
esrj-65215	108	28	using	use	VERB
esrj-65215	108	29	the	the	DET
esrj-65215	108	30	improved	improved	ADJ
esrj-65215	108	31	arhmm	arhmm	NOUN
esrj-65215	108	32	outlier	outlier	NOUN
esrj-65215	108	33	detection	detection	NOUN
esrj-65215	108	34	algorithm	algorithm	NOUN
esrj-65215	108	35	proposed	propose	VERB
esrj-65215	108	36	in	in	ADP
esrj-65215	108	37	this	this	DET
esrj-65215	108	38	paper	paper	NOUN
esrj-65215	108	39	to	to	PART
esrj-65215	108	40	do	do	VERB
esrj-65215	108	41	the	the	DET
esrj-65215	108	42	pre	pre	NOUN
esrj-65215	108	43	-	-	NOUN
esrj-65215	108	44	processing	processing	NOUN
esrj-65215	108	45	of	of	ADP
esrj-65215	108	46	the	the	DET
esrj-65215	108	47	spectrum	spectrum	NOUN
esrj-65215	108	48	compared	compare	VERB
esrj-65215	108	49	to	to	ADP
esrj-65215	108	50	tradition	tradition	NOUN
esrj-65215	108	51	ar	ar	NOUN
esrj-65215	108	52	outlier	outlier	NOUN
esrj-65215	108	53	detected	detect	VERB
esrj-65215	108	54	method	method	NOUN
esrj-65215	108	55	,	,	PUNCT
esrj-65215	108	56	which	which	PRON
esrj-65215	108	57	since	since	SCONJ
esrj-65215	108	58	the	the	DET
esrj-65215	108	59	improved	improve	VERB
esrj-65215	108	60	arhmm	arhmm	NOUN
esrj-65215	108	61	outlier	outlier	NOUN
esrj-65215	108	62	detected	detect	VERB
esrj-65215	108	63	algorithm	algorithm	NOUN
esrj-65215	108	64	have	have	VERB
esrj-65215	108	65	more	more	ADJ
esrj-65215	108	66	robustness	robustness	NOUN
esrj-65215	108	67	and	and	CCONJ
esrj-65215	108	68	more	more	ADV
esrj-65215	108	69	suitable	suitable	ADJ
esrj-65215	108	70	for	for	ADP
esrj-65215	108	71	non	non	ADJ
esrj-65215	108	72	-	-	ADJ
esrj-65215	108	73	linear	linear	ADJ
esrj-65215	108	74	systems	system	NOUN
esrj-65215	108	75	.	.	PUNCT
esrj-65215	109	1	conclusions	conclusion	NOUN
esrj-65215	109	2	taking	take	VERB
esrj-65215	109	3	into	into	ADP
esrj-65215	109	4	account	account	NOUN
esrj-65215	109	5	the	the	DET
esrj-65215	109	6	lack	lack	NOUN
esrj-65215	109	7	of	of	ADP
esrj-65215	109	8	arhmm	arhmm	ADJ
esrj-65215	109	9	algorithm	algorithm	NOUN
esrj-65215	109	10	for	for	ADP
esrj-65215	109	11	ore	ore	NOUN
esrj-65215	109	12	grade	grade	NOUN
esrj-65215	109	13	analysis	analysis	NOUN
esrj-65215	109	14	process	process	NOUN
esrj-65215	109	15	,	,	PUNCT
esrj-65215	109	16	an	an	DET
esrj-65215	109	17	order	order	NOUN
esrj-65215	109	18	self	self	NOUN
esrj-65215	109	19	-	-	PUNCT
esrj-65215	109	20	learning	learn	VERB
esrj-65215	109	21	arhmm	arhmm	NOUN
esrj-65215	109	22	algorithm	algorithm	NOUN
esrj-65215	109	23	is	be	AUX
esrj-65215	109	24	proposed	propose	VERB
esrj-65215	109	25	in	in	ADP
esrj-65215	109	26	this	this	DET
esrj-65215	109	27	paper	paper	NOUN
esrj-65215	109	28	,	,	PUNCT
esrj-65215	109	29	whose	whose	DET
esrj-65215	109	30	innovation	innovation	NOUN
esrj-65215	109	31	points	point	NOUN
esrj-65215	109	32	are	be	AUX
esrj-65215	109	33	summarized	summarize	VERB
esrj-65215	109	34	as	as	ADP
esrj-65215	109	35	:	:	PUNCT
esrj-65215	109	36	first	first	ADV
esrj-65215	109	37	,	,	PUNCT
esrj-65215	109	38	unlike	unlike	ADP
esrj-65215	109	39	other	other	ADJ
esrj-65215	109	40	outlier	outlier	NOUN
esrj-65215	109	41	detection	detection	NOUN
esrj-65215	109	42	method	method	NOUN
esrj-65215	109	43	(	(	PUNCT
esrj-65215	109	44	such	such	ADJ
esrj-65215	109	45	as	as	ADP
esrj-65215	109	46	the	the	DET
esrj-65215	109	47	traditional	traditional	ADJ
esrj-65215	109	48	ar	ar	NOUN
esrj-65215	109	49	model	model	NOUN
esrj-65215	109	50	detection	detection	NOUN
esrj-65215	109	51	method	method	NOUN
esrj-65215	109	52	)	)	PUNCT
esrj-65215	109	53	,	,	PUNCT
esrj-65215	109	54	the	the	DET
esrj-65215	109	55	outliers	outlier	NOUN
esrj-65215	109	56	detection	detection	NOUN
esrj-65215	109	57	method	method	NOUN
esrj-65215	109	58	proposed	propose	VERB
esrj-65215	109	59	in	in	ADP
esrj-65215	109	60	this	this	DET
esrj-65215	109	61	paper	paper	NOUN
esrj-65215	109	62	does	do	AUX
esrj-65215	109	63	not	not	PART
esrj-65215	109	64	need	need	VERB
esrj-65215	109	65	to	to	PART
esrj-65215	109	66	set	set	VERB
esrj-65215	109	67	the	the	DET
esrj-65215	109	68	detection	detection	NOUN
esrj-65215	109	69	threshold	threshold	NOUN
esrj-65215	109	70	.	.	PUNCT
esrj-65215	110	1	second	second	ADJ
esrj-65215	110	2	,	,	PUNCT
esrj-65215	110	3	considering	consider	VERB
esrj-65215	110	4	the	the	DET
esrj-65215	110	5	problem	problem	NOUN
esrj-65215	110	6	that	that	PRON
esrj-65215	110	7	the	the	DET
esrj-65215	110	8	model	model	NOUN
esrj-65215	110	9	order	order	NOUN
esrj-65215	110	10	of	of	ADP
esrj-65215	110	11	control	control	NOUN
esrj-65215	110	12	system‘s	system‘s	PROPN
esrj-65215	110	13	hard	hard	ADJ
esrj-65215	110	14	to	to	PART
esrj-65215	110	15	be	be	AUX
esrj-65215	110	16	determined	determine	VERB
esrj-65215	110	17	,	,	PUNCT
esrj-65215	110	18	the	the	DET
esrj-65215	110	19	new	new	ADJ
esrj-65215	110	20	detected	detect	VERB
esrj-65215	110	21	method	method	NOUN
esrj-65215	110	22	which	which	PRON
esrj-65215	110	23	is	be	AUX
esrj-65215	110	24	based	base	VERB
esrj-65215	110	25	on	on	ADP
esrj-65215	110	26	residual	residual	ADJ
esrj-65215	110	27	error	error	NOUN
esrj-65215	110	28	has	have	AUX
esrj-65215	110	29	the	the	DET
esrj-65215	110	30	function	function	NOUN
esrj-65215	110	31	of	of	ADP
esrj-65215	110	32	model	model	NOUN
esrj-65215	110	33	order	order	NOUN
esrj-65215	110	34	self	self	NOUN
esrj-65215	110	35	-	-	PUNCT
esrj-65215	110	36	learning	learning	NOUN
esrj-65215	110	37	.	.	PUNCT
esrj-65215	111	1	and	and	CCONJ
esrj-65215	111	2	third	third	ADV
esrj-65215	111	3	,	,	PUNCT
esrj-65215	111	4	to	to	PART
esrj-65215	111	5	avoid	avoid	VERB
esrj-65215	111	6	the	the	DET
esrj-65215	111	7	influence	influence	NOUN
esrj-65215	111	8	of	of	ADP
esrj-65215	111	9	outliers	outlier	NOUN
esrj-65215	111	10	on	on	ADP
esrj-65215	111	11	the	the	DET
esrj-65215	111	12	test	test	NOUN
esrj-65215	111	13	results	result	NOUN
esrj-65215	111	14	,	,	PUNCT
esrj-65215	111	15	this	this	DET
esrj-65215	111	16	paper	paper	NOUN
esrj-65215	111	17	proposes	propose	VERB
esrj-65215	111	18	a	a	DET
esrj-65215	111	19	detectionbefore	detectionbefore	NOUN
esrj-65215	111	20	-	-	PUNCT
esrj-65215	111	21	update	update	NOUN
esrj-65215	111	22	and	and	CCONJ
esrj-65215	111	23	detection	detection	NOUN
esrj-65215	111	24	-	-	PUNCT
esrj-65215	111	25	based	base	VERB
esrj-65215	111	26	-	-	PUNCT
esrj-65215	111	27	update	update	NOUN
esrj-65215	111	28	strategies	strategy	NOUN
esrj-65215	111	29	.	.	PUNCT
esrj-65215	112	1	so	so	ADV
esrj-65215	112	2	under	under	ADP
esrj-65215	112	3	above	above	ADP
esrj-65215	112	4	improving	improve	VERB
esrj-65215	112	5	,	,	PUNCT
esrj-65215	112	6	arhmm	arhmm	NOUN
esrj-65215	112	7	algorithm	algorithm	NOUN
esrj-65215	112	8	can	can	AUX
esrj-65215	112	9	more	more	ADV
esrj-65215	112	10	accurately	accurately	ADV
esrj-65215	112	11	use	use	VERB
esrj-65215	112	12	to	to	PART
esrj-65215	112	13	analysis	analysis	NOUN
esrj-65215	112	14	the	the	DET
esrj-65215	112	15	data	datum	NOUN
esrj-65215	112	16	in	in	ADP
esrj-65215	112	17	the	the	DET
esrj-65215	112	18	geological	geological	ADJ
esrj-65215	112	19	mineral	mineral	NOUN
esrj-65215	112	20	grade	grade	NOUN
esrj-65215	112	21	analysis	analysis	NOUN
esrj-65215	112	22	process	process	NOUN
esrj-65215	112	23	.	.	PUNCT
esrj-65215	113	1	in	in	ADP
esrj-65215	113	2	other	other	ADJ
esrj-65215	113	3	words	word	NOUN
esrj-65215	113	4	,	,	PUNCT
esrj-65215	113	5	the	the	DET
esrj-65215	113	6	application	application	NOUN
esrj-65215	113	7	field	field	NOUN
esrj-65215	113	8	of	of	ADP
esrj-65215	113	9	arhmm	arhmm	ADJ
esrj-65215	113	10	algorithm	algorithm	NOUN
esrj-65215	113	11	has	have	AUX
esrj-65215	113	12	been	be	AUX
esrj-65215	113	13	expanded	expand	VERB
esrj-65215	113	14	.	.	PUNCT
esrj-65215	114	1	subsequent	subsequent	ADJ
esrj-65215	114	2	simulation	simulation	NOUN
esrj-65215	114	3	by	by	ADP
esrj-65215	114	4	model	model	NOUN
esrj-65215	114	5	data	datum	NOUN
esrj-65215	114	6	and	and	CCONJ
esrj-65215	114	7	practical	practical	ADJ
esrj-65215	114	8	application	application	NOUN
esrj-65215	114	9	verify	verify	VERB
esrj-65215	114	10	the	the	DET
esrj-65215	114	11	accuracy	accuracy	NOUN
esrj-65215	114	12	,	,	PUNCT
esrj-65215	114	13	robustness	robustness	NOUN
esrj-65215	114	14	,	,	PUNCT
esrj-65215	114	15	and	and	CCONJ
esrj-65215	114	16	property	property	NOUN
esrj-65215	114	17	of	of	ADP
esrj-65215	114	18	online	online	ADJ
esrj-65215	114	19	detection	detection	NOUN
esrj-65215	114	20	of	of	ADP
esrj-65215	114	21	the	the	DET
esrj-65215	114	22	algorithm	algorithm	NOUN
esrj-65215	114	23	.	.	PUNCT
esrj-65215	115	1	according	accord	VERB
esrj-65215	115	2	to	to	ADP
esrj-65215	115	3	the	the	DET
esrj-65215	115	4	result	result	NOUN
esrj-65215	115	5	,	,	PUNCT
esrj-65215	115	6	it	it	PRON
esrj-65215	115	7	is	be	AUX
esrj-65215	115	8	evident	evident	ADJ
esrj-65215	115	9	that	that	SCONJ
esrj-65215	115	10	new	new	ADJ
esrj-65215	115	11	algorithm	algorithm	NOUN
esrj-65215	115	12	proposed	propose	VERB
esrj-65215	115	13	in	in	ADP
esrj-65215	115	14	this	this	DET
esrj-65215	115	15	paper	paper	NOUN
esrj-65215	115	16	is	be	AUX
esrj-65215	115	17	more	more	ADV
esrj-65215	115	18	suitable	suitable	ADJ
esrj-65215	115	19	for	for	ADP
esrj-65215	115	20	outlier	outlier	ADJ
esrj-65215	115	21	detection	detection	NOUN
esrj-65215	115	22	in	in	ADP
esrj-65215	115	23	the	the	DET
esrj-65215	115	24	geological	geological	ADJ
esrj-65215	115	25	mineral	mineral	NOUN
esrj-65215	115	26	grade	grade	NOUN
esrj-65215	115	27	analysis	analysis	NOUN
esrj-65215	115	28	process	process	NOUN
esrj-65215	115	29	.	.	PUNCT
esrj-65215	116	1	acknowledgments	acknowledgment	NOUN
esrj-65215	116	2	this	this	DET
esrj-65215	116	3	research	research	NOUN
esrj-65215	116	4	is	be	AUX
esrj-65215	116	5	partially	partially	ADV
esrj-65215	116	6	supported	support	VERB
esrj-65215	116	7	by	by	ADP
esrj-65215	116	8	national	national	ADJ
esrj-65215	116	9	natural	natural	PROPN
esrj-65215	116	10	science	science	PROPN
esrj-65215	116	11	foundation	foundation	PROPN
esrj-65215	116	12	of	of	ADP
esrj-65215	116	13	china	china	PROPN
esrj-65215	116	14	under	under	ADP
esrj-65215	116	15	grant	grant	PROPN
esrj-65215	116	16	51607122	51607122	NUM
esrj-65215	116	17	,	,	PUNCT
esrj-65215	116	18	61602343	61602343	NUM
esrj-65215	116	19	.	.	PUNCT
esrj-65215	117	1	references	reference	VERB
esrj-65215	117	2	abd	abd	PROPN
esrj-65215	117	3	-	-	PUNCT
esrj-65215	117	4	krim	krim	PROPN
esrj-65215	117	5	,	,	PUNCT
esrj-65215	117	6	s.	s.	PROPN
esrj-65215	117	7	(	(	PUNCT
esrj-65215	117	8	2006	2006	NUM
esrj-65215	117	9	)	)	PUNCT
esrj-65215	117	10	.	.	PUNCT
esrj-65215	118	1	vector	vector	NOUN
esrj-65215	118	2	autoregressive	autoregressive	ADJ
esrj-65215	118	3	model	model	NOUN
esrj-65215	118	4	-	-	PUNCT
esrj-65215	118	5	order	order	NOUN
esrj-65215	118	6	selection	selection	NOUN
esrj-65215	118	7	from	from	ADP
esrj-65215	118	8	finite	finite	ADJ
esrj-65215	118	9	samples	sample	NOUN
esrj-65215	118	10	using	use	VERB
esrj-65215	118	11	kullback	kullback	NOUN
esrj-65215	118	12	’s	’s	PART
esrj-65215	118	13	symmetric	symmetric	ADJ
esrj-65215	118	14	divergence	divergence	NOUN
esrj-65215	118	15	.	.	PUNCT
esrj-65215	119	1	ieee	ieee	NOUN
esrj-65215	119	2	transactions	transaction	NOUN
esrj-65215	119	3	on	on	ADP
esrj-65215	119	4	circuits	circuit	NOUN
esrj-65215	119	5	and	and	CCONJ
esrj-65215	119	6	systems	system	NOUN
esrj-65215	119	7	i	i	PRON
esrj-65215	119	8	:	:	PUNCT
esrj-65215	119	9	regular	regular	ADJ
esrj-65215	119	10	papers	paper	NOUN
esrj-65215	119	11	,	,	PUNCT
esrj-65215	119	12	53(10	53(10	NUM
esrj-65215	119	13	)	)	PUNCT
esrj-65215	119	14	,	,	PUNCT
esrj-65215	119	15	2327	2327	NUM
esrj-65215	119	16	.	.	PUNCT
esrj-65215	120	1	alexandridis	alexandridis	PROPN
esrj-65215	120	2	,	,	PUNCT
esrj-65215	120	3	a.	a.	PROPN
esrj-65215	120	4	,	,	PUNCT
esrj-65215	120	5	sarimveis	sarimveis	PROPN
esrj-65215	120	6	,	,	PUNCT
esrj-65215	120	7	h.	h.	PROPN
esrj-65215	120	8	,	,	PUNCT
esrj-65215	120	9	&	&	CCONJ
esrj-65215	120	10	bafas	bafas	PROPN
esrj-65215	120	11	,	,	PUNCT
esrj-65215	120	12	g.	g.	PROPN
esrj-65215	120	13	(	(	PUNCT
esrj-65215	120	14	2003	2003	NUM
esrj-65215	120	15	)	)	PUNCT
esrj-65215	120	16	.	.	PUNCT
esrj-65215	121	1	a	a	DET
esrj-65215	121	2	new	new	ADJ
esrj-65215	121	3	algorithm	algorithm	NOUN
esrj-65215	121	4	for	for	ADP
esrj-65215	121	5	online	online	ADJ
esrj-65215	121	6	structure	structure	NOUN
esrj-65215	121	7	and	and	CCONJ
esrj-65215	121	8	parameter	parameter	NOUN
esrj-65215	121	9	adaptation	adaptation	NOUN
esrj-65215	121	10	of	of	ADP
esrj-65215	121	11	rbf	rbf	PROPN
esrj-65215	121	12	networks	network	NOUN
esrj-65215	121	13	.	.	PUNCT
esrj-65215	122	1	neural	neural	ADJ
esrj-65215	122	2	networks	network	NOUN
esrj-65215	122	3	,	,	PUNCT
esrj-65215	122	4	16(7	16(7	NUM
esrj-65215	122	5	)	)	PUNCT
esrj-65215	122	6	,	,	PUNCT
esrj-65215	122	7	1003	1003	NUM
esrj-65215	122	8	-	-	SYM
esrj-65215	122	9	1017	1017	NUM
esrj-65215	122	10	.	.	PUNCT
esrj-65215	123	1	almeida	almeida	PROPN
esrj-65215	123	2	,	,	PUNCT
esrj-65215	123	3	j.	j.	PROPN
esrj-65215	123	4	a.	a.	PROPN
esrj-65215	123	5	s.	s.	PROPN
esrj-65215	123	6	,	,	PUNCT
esrj-65215	123	7	&	&	CCONJ
esrj-65215	123	8	barbosa	barbosa	PROPN
esrj-65215	123	9	l.	l.	PROPN
esrj-65215	123	10	m.	m.	PROPN
esrj-65215	123	11	s.	s.	PROPN
esrj-65215	123	12	(	(	PUNCT
esrj-65215	123	13	2007	2007	NUM
esrj-65215	123	14	)	)	PUNCT
esrj-65215	123	15	.	.	PUNCT
esrj-65215	124	1	a	a	DET
esrj-65215	124	2	new	new	ADJ
esrj-65215	124	3	method	method	NOUN
esrj-65215	124	4	with	with	ADP
esrj-65215	124	5	outlier	outlier	NOUN
esrj-65215	124	6	detection	detection	NOUN
esrj-65215	124	7	and	and	CCONJ
esrj-65215	124	8	automatic	automatic	ADJ
esrj-65215	124	9	clustering	clustering	NOUN
esrj-65215	124	10	.	.	PUNCT
esrj-65215	125	1	chemometrics	chemometric	NOUN
esrj-65215	125	2	and	and	CCONJ
esrj-65215	125	3	intelligent	intelligent	ADJ
esrj-65215	125	4	laboratory	laboratory	NOUN
esrj-65215	125	5	systems	system	NOUN
esrj-65215	125	6	,	,	PUNCT
esrj-65215	125	7	87(2	87(2	NUM
esrj-65215	125	8	)	)	PUNCT
esrj-65215	125	9	,	,	PUNCT
esrj-65215	125	10	208	208	NUM
esrj-65215	125	11	.	.	PUNCT
esrj-65215	125	12	barnet	barnet	PROPN
esrj-65215	125	13	,	,	PUNCT
esrj-65215	125	14	v.	v.	PROPN
esrj-65215	125	15	,	,	PUNCT
esrj-65215	125	16	&	&	CCONJ
esrj-65215	125	17	lewis	lewis	PROPN
esrj-65215	125	18	,	,	PUNCT
esrj-65215	125	19	t.	t.	PROPN
esrj-65215	125	20	(	(	PUNCT
esrj-65215	125	21	1994	1994	NUM
esrj-65215	125	22	)	)	PUNCT
esrj-65215	125	23	.	.	PUNCT
esrj-65215	126	1	outlier	outlier	NOUN
esrj-65215	126	2	in	in	ADP
esrj-65215	126	3	statistical	statistical	ADJ
esrj-65215	126	4	data	datum	NOUN
esrj-65215	126	5	.	.	PUNCT
esrj-65215	127	1	john	john	PROPN
esrj-65215	127	2	wiley	wiley	PROPN
esrj-65215	127	3	&	&	CCONJ
esrj-65215	127	4	sons	sons	PROPN
esrj-65215	127	5	,	,	PUNCT
esrj-65215	127	6	chichester	chichester	PROPN
esrj-65215	127	7	.	.	PUNCT
esrj-65215	128	1	bilmes	bilme	NOUN
esrj-65215	128	2	,	,	PUNCT
esrj-65215	128	3	a.	a.	PROPN
esrj-65215	128	4	j.	j.	PROPN
esrj-65215	128	5	(	(	PUNCT
esrj-65215	128	6	2006	2006	NUM
esrj-65215	128	7	)	)	PUNCT
esrj-65215	128	8	.	.	PUNCT
esrj-65215	129	1	what	what	PRON
esrj-65215	129	2	hmms	hmms	NOUN
esrj-65215	129	3	can	can	AUX
esrj-65215	129	4	do	do	VERB
esrj-65215	129	5	.	.	PUNCT
esrj-65215	130	1	ieice	ieice	NOUN
esrj-65215	130	2	transactions	transaction	NOUN
esrj-65215	130	3	on	on	ADP
esrj-65215	130	4	information	information	NOUN
esrj-65215	130	5	and	and	CCONJ
esrj-65215	130	6	systems	system	NOUN
esrj-65215	130	7	,	,	PUNCT
esrj-65215	130	8	e89	e89	PROPN
esrj-65215	130	9	-	-	PUNCT
esrj-65215	130	10	d(3	d(3	PROPN
esrj-65215	130	11	)	)	PUNCT
esrj-65215	130	12	,	,	PUNCT
esrj-65215	130	13	1	1	X
esrj-65215	130	14	.	.	PUNCT
esrj-65215	131	1	brockwell	brockwell	PROPN
esrj-65215	131	2	,	,	PUNCT
esrj-65215	131	3	p.	p.	PROPN
esrj-65215	131	4	j.	j.	PROPN
esrj-65215	131	5	,	,	PUNCT
esrj-65215	131	6	dahlhaus	dahlhaus	PROPN
esrj-65215	131	7	,	,	PUNCT
esrj-65215	131	8	r.	r.	PROPN
esrj-65215	131	9	,	,	PUNCT
esrj-65215	131	10	&	&	CCONJ
esrj-65215	131	11	trindade	trindade	PROPN
esrj-65215	131	12	,	,	PUNCT
esrj-65215	131	13	a.	a.	NOUN
esrj-65215	131	14	a.	a.	NOUN
esrj-65215	131	15	(	(	PUNCT
esrj-65215	131	16	2002	2002	NUM
esrj-65215	131	17	)	)	PUNCT
esrj-65215	131	18	.	.	PUNCT
esrj-65215	132	1	modified	modify	VERB
esrj-65215	132	2	burg	burg	NOUN
esrj-65215	132	3	algorithms	algorithm	NOUN
esrj-65215	132	4	for	for	ADP
esrj-65215	132	5	multivariate	multivariate	NOUN
esrj-65215	132	6	subset	subset	NOUN
esrj-65215	132	7	autoregression	autoregression	NOUN
esrj-65215	132	8	.	.	PUNCT
esrj-65215	133	1	technical	technical	ADJ
esrj-65215	133	2	report	report	PROPN
esrj-65215	133	3	2002	2002	NUM
esrj-65215	133	4	-	-	SYM
esrj-65215	133	5	015	015	NUM
esrj-65215	133	6	,	,	PUNCT
esrj-65215	133	7	department	department	NOUN
esrj-65215	133	8	of	of	ADP
esrj-65215	133	9	statistics	statistic	NOUN
esrj-65215	133	10	,	,	PUNCT
esrj-65215	133	11	university	university	PROPN
esrj-65215	133	12	of	of	ADP
esrj-65215	133	13	florida	florida	PROPN
esrj-65215	133	14	.	.	PUNCT
esrj-65215	134	1	bullen	bullen	PROPN
esrj-65215	134	2	,	,	PUNCT
esrj-65215	134	3	r.	r.	PROPN
esrj-65215	134	4	j.	j.	PROPN
esrj-65215	134	5	,	,	PUNCT
esrj-65215	134	6	cornford	cornford	PROPN
esrj-65215	134	7	,	,	PUNCT
esrj-65215	134	8	d.	d.	PROPN
esrj-65215	134	9	,	,	PUNCT
esrj-65215	134	10	&	&	CCONJ
esrj-65215	134	11	nnbney	nnbney	PROPN
esrj-65215	134	12	,	,	PUNCT
esrj-65215	134	13	i.	i.	PROPN
esrj-65215	134	14	t.	t.	PROPN
esrj-65215	134	15	(	(	PUNCT
esrj-65215	134	16	2003	2003	NUM
esrj-65215	134	17	)	)	PUNCT
esrj-65215	134	18	.	.	PUNCT
esrj-65215	135	1	outlier	outlier	NOUN
esrj-65215	135	2	detection	detection	NOUN
esrj-65215	135	3	in	in	ADP
esrj-65215	135	4	scatterometer	scatterometer	NOUN
esrj-65215	135	5	data	datum	NOUN
esrj-65215	135	6	:	:	PUNCT
esrj-65215	135	7	neural	neural	ADJ
esrj-65215	135	8	network	network	NOUN
esrj-65215	135	9	approaches	approach	NOUN
esrj-65215	135	10	.	.	PUNCT
esrj-65215	136	1	neural	neural	ADJ
esrj-65215	136	2	networks	network	NOUN
esrj-65215	136	3	,	,	PUNCT
esrj-65215	136	4	16(3	16(3	PROPN
esrj-65215	136	5	-	-	SYM
esrj-65215	136	6	4	4	NUM
esrj-65215	136	7	)	)	PUNCT
esrj-65215	136	8	,	,	PUNCT
esrj-65215	136	9	419	419	NUM
esrj-65215	136	10	.	.	PUNCT
esrj-65215	137	1	clarke	clarke	PROPN
esrj-65215	137	2	,	,	PUNCT
esrj-65215	137	3	b.	b.	PROPN
esrj-65215	137	4	r.	r.	PROPN
esrj-65215	137	5	,	,	PUNCT
esrj-65215	137	6	&	&	CCONJ
esrj-65215	137	7	levis	levis	PROPN
esrj-65215	137	8	,	,	PUNCT
esrj-65215	137	9	t.	t.	PROPN
esrj-65215	137	10	(	(	PUNCT
esrj-65215	137	11	1998	1998	NUM
esrj-65215	137	12	)	)	PUNCT
esrj-65215	137	13	.	.	PUNCT
esrj-65215	138	1	an	an	DET
esrj-65215	138	2	outlier	outlier	ADJ
esrj-65215	138	3	problem	problem	NOUN
esrj-65215	138	4	in	in	ADP
esrj-65215	138	5	the	the	DET
esrj-65215	138	6	determination	determination	NOUN
esrj-65215	138	7	of	of	ADP
esrj-65215	138	8	ore	ore	NOUN
esrj-65215	138	9	grade	grade	NOUN
esrj-65215	138	10	.	.	PUNCT
esrj-65215	139	1	journal	journal	PROPN
esrj-65215	139	2	of	of	ADP
esrj-65215	139	3	applied	applied	ADJ
esrj-65215	139	4	statistics	statistic	NOUN
esrj-65215	139	5	,	,	PUNCT
esrj-65215	139	6	25(6	25(6	NOUN
esrj-65215	139	7	)	)	PUNCT
esrj-65215	139	8	,	,	PUNCT
esrj-65215	139	9	751	751	NUM
esrj-65215	139	10	-	-	SYM
esrj-65215	139	11	662	662	NUM
esrj-65215	139	12	.	.	PUNCT
esrj-65215	140	1	de'nan	de'nan	PROPN
esrj-65215	140	2	,	,	PUNCT
esrj-65215	140	3	f.	f.	PROPN
esrj-65215	140	4	,	,	PUNCT
esrj-65215	140	5	naaim	naaim	NOUN
esrj-65215	140	6	,	,	PUNCT
esrj-65215	140	7	n.	n.	NOUN
esrj-65215	140	8	,	,	PUNCT
esrj-65215	140	9	&	&	CCONJ
esrj-65215	140	10	leong	leong	PROPN
esrj-65215	140	11	,	,	PUNCT
esrj-65215	140	12	l.	l.	PROPN
esrj-65215	140	13	c.	c.	PROPN
esrj-65215	140	14	(	(	PUNCT
esrj-65215	140	15	2017	2017	NUM
esrj-65215	140	16	)	)	PUNCT
esrj-65215	140	17	.	.	PUNCT
esrj-65215	141	1	behaviour	behaviour	NOUN
esrj-65215	141	2	of	of	ADP
esrj-65215	141	3	flush	flush	ADJ
esrj-65215	141	4	end	end	NOUN
esrj-65215	141	5	-	-	PUNCT
esrj-65215	141	6	plate	plate	NOUN
esrj-65215	141	7	connection	connection	NOUN
esrj-65215	141	8	for	for	ADP
esrj-65215	141	9	perforated	perforated	ADJ
esrj-65215	141	10	section	section	NOUN
esrj-65215	141	11	.	.	PUNCT
esrj-65215	142	1	engineering	engineering	NOUN
esrj-65215	142	2	heritage	heritage	PROPN
esrj-65215	142	3	journal	journal	PROPN
esrj-65215	142	4	,	,	PUNCT
esrj-65215	142	5	1	1	NUM
esrj-65215	142	6	,	,	PUNCT
esrj-65215	142	7	11	11	NUM
esrj-65215	142	8	-	-	SYM
esrj-65215	142	9	20	20	NUM
esrj-65215	142	10	.	.	PUNCT
esrj-65215	143	1	edwin	edwin	PROPN
esrj-65215	143	2	,	,	PUNCT
esrj-65215	143	3	m.	m.	PROPN
esrj-65215	143	4	k.	k.	PROPN
esrj-65215	143	5	&	&	CCONJ
esrj-65215	143	6	raymond	raymond	PROPN
esrj-65215	143	7	,	,	PUNCT
esrj-65215	143	8	t.	t.	PROPN
esrj-65215	143	9	n.	n.	PROPN
esrj-65215	143	10	(	(	PUNCT
esrj-65215	143	11	1998	1998	NUM
esrj-65215	143	12	)	)	PUNCT
esrj-65215	143	13	.	.	PUNCT
esrj-65215	144	1	algorithms	algorithm	NOUN
esrj-65215	144	2	for	for	ADP
esrj-65215	144	3	mining	mining	NOUN
esrj-65215	144	4	distancebased	distancebase	VERB
esrj-65215	144	5	outliers	outlier	NOUN
esrj-65215	144	6	.	.	PUNCT
esrj-65215	145	1	proceedings	proceeding	NOUN
esrj-65215	145	2	of	of	ADP
esrj-65215	145	3	the	the	DET
esrj-65215	145	4	twenty	twenty	NUM
esrj-65215	145	5	-	-	PUNCT
esrj-65215	145	6	fourth	fourth	ADJ
esrj-65215	145	7	international	international	ADJ
esrj-65215	145	8	conference	conference	NOUN
esrj-65215	145	9	on	on	ADP
esrj-65215	145	10	very	very	ADV
esrj-65215	145	11	large	large	ADJ
esrj-65215	145	12	data	datum	NOUN
esrj-65215	145	13	bases	basis	NOUN
esrj-65215	145	14	,	,	PUNCT
esrj-65215	145	15	c.	c.	PROPN
esrj-65215	145	16	392	392	NUM
esrj-65215	145	17	.	.	PUNCT
esrj-65215	146	1	han	han	PROPN
esrj-65215	146	2	,	,	PUNCT
esrj-65215	146	3	j.	j.	PROPN
esrj-65215	146	4	w.	w.	PROPN
esrj-65215	146	5	,	,	PUNCT
esrj-65215	146	6	&	&	CCONJ
esrj-65215	146	7	micheline	micheline	PROPN
esrj-65215	146	8	,	,	PUNCT
esrj-65215	146	9	k.	k.	PROPN
esrj-65215	146	10	(	(	PUNCT
esrj-65215	146	11	2001	2001	NUM
esrj-65215	146	12	)	)	PUNCT
esrj-65215	146	13	.	.	PUNCT
esrj-65215	147	1	data	datum	NOUN
esrj-65215	147	2	mining	mining	NOUN
esrj-65215	147	3	concepts	concept	NOUN
esrj-65215	147	4	and	and	CCONJ
esrj-65215	147	5	techniques	technique	NOUN
esrj-65215	147	6	.	.	PUNCT
esrj-65215	148	1	machinery	machinery	NOUN
esrj-65215	148	2	industry	industry	NOUN
esrj-65215	148	3	press	press	NOUN
esrj-65215	148	4	,	,	PUNCT
esrj-65215	148	5	china	china	PROPN
esrj-65215	148	6	.	.	PUNCT
esrj-65215	149	1	hekimoglu	hekimoglu	PROPN
esrj-65215	149	2	,	,	PUNCT
esrj-65215	149	3	s.	s.	PROPN
esrj-65215	149	4	,	,	PUNCT
esrj-65215	149	5	eernoglu	eernoglu	PROPN
esrj-65215	149	6	,	,	PUNCT
esrj-65215	149	7	r.	r.	PROPN
esrj-65215	149	8	c.	c.	PROPN
esrj-65215	149	9	,	,	PUNCT
esrj-65215	149	10	&	&	CCONJ
esrj-65215	149	11	kalina	kalina	PROPN
esrj-65215	149	12	,	,	PUNCT
esrj-65215	149	13	j.	j.	PROPN
esrj-65215	149	14	(	(	PUNCT
esrj-65215	149	15	2009	2009	NUM
esrj-65215	149	16	)	)	PUNCT
esrj-65215	149	17	.	.	PUNCT
esrj-65215	150	1	outlier	outlier	NOUN
esrj-65215	150	2	detection	detection	NOUN
esrj-65215	150	3	by	by	ADP
esrj-65215	150	4	means	mean	NOUN
esrj-65215	150	5	of	of	ADP
esrj-65215	150	6	robust	robust	ADJ
esrj-65215	150	7	regression	regression	NOUN
esrj-65215	150	8	estimators	estimator	NOUN
esrj-65215	150	9	for	for	ADP
esrj-65215	150	10	use	use	NOUN
esrj-65215	150	11	in	in	ADP
esrj-65215	150	12	engineering	engineering	NOUN
esrj-65215	150	13	science	science	NOUN
esrj-65215	150	14	.	.	PUNCT
esrj-65215	151	1	journal	journal	PROPN
esrj-65215	151	2	of	of	ADP
esrj-65215	151	3	zhejiang	zhejiang	PROPN
esrj-65215	151	4	university	university	PROPN
esrj-65215	151	5	-	-	PUNCT
esrj-65215	151	6	science	science	PROPN
esrj-65215	151	7	a	a	PRON
esrj-65215	151	8	,	,	PUNCT
esrj-65215	151	9	10(6	10(6	NUM
esrj-65215	151	10	)	)	PUNCT
esrj-65215	151	11	,	,	PUNCT
esrj-65215	151	12	909	909	NUM
esrj-65215	151	13	.	.	PUNCT
esrj-65215	152	1	kameshwara	kameshwara	PROPN
esrj-65215	152	2	,	,	PUNCT
esrj-65215	152	3	r.	r.	PROPN
esrj-65215	152	4	,	,	PUNCT
esrj-65215	152	5	rao	rao	PROPN
esrj-65215	152	6	,	,	PUNCT
esrj-65215	152	7	c.	c.	PROPN
esrj-65215	152	8	r.	r.	PROPN
esrj-65215	152	9	,	,	PUNCT
esrj-65215	152	10	&	&	CCONJ
esrj-65215	152	11	narayana	narayana	PROPN
esrj-65215	152	12	,	,	PUNCT
esrj-65215	152	13	a.	a.	PROPN
esrj-65215	152	14	c.	c.	PROPN
esrj-65215	152	15	(	(	PUNCT
esrj-65215	152	16	2014	2014	NUM
esrj-65215	152	17	)	)	PUNCT
esrj-65215	152	18	.	.	PUNCT
esrj-65215	153	1	assessing	assess	VERB
esrj-65215	153	2	grade	grade	NOUN
esrj-65215	153	3	domain	domain	NOUN
esrj-65215	153	4	of	of	ADP
esrj-65215	153	5	iron	iron	NOUN
esrj-65215	153	6	ore	ore	NOUN
esrj-65215	153	7	deposit	deposit	NOUN
esrj-65215	153	8	using	use	VERB
esrj-65215	153	9	geostatistical	geostatistical	ADJ
esrj-65215	153	10	modelling	modelling	NOUN
esrj-65215	153	11	:	:	PUNCT
esrj-65215	153	12	a	a	DET
esrj-65215	153	13	case	case	NOUN
esrj-65215	153	14	study	study	NOUN
esrj-65215	153	15	.	.	PUNCT
esrj-65215	154	1	journal	journal	NOUN
esrj-65215	154	2	of	of	ADP
esrj-65215	154	3	the	the	DET
esrj-65215	154	4	geological	geological	ADJ
esrj-65215	154	5	society	society	NOUN
esrj-65215	154	6	of	of	ADP
esrj-65215	154	7	india	india	PROPN
esrj-65215	154	8	.	.	PUNCT
esrj-65215	154	9	83(5	83(5	NOUN
esrj-65215	154	10	)	)	PUNCT
esrj-65215	154	11	,	,	PUNCT
esrj-65215	154	12	549	549	NUM
esrj-65215	154	13	-	-	SYM
esrj-65215	154	14	554	554	NUM
esrj-65215	154	15	.	.	PUNCT
esrj-65215	155	1	knorr	knorr	PROPN
esrj-65215	155	2	,	,	PUNCT
esrj-65215	155	3	e.	e.	PROPN
esrj-65215	155	4	m.	m.	PROPN
esrj-65215	155	5	&	&	CCONJ
esrj-65215	155	6	ng	ng	PROPN
esrj-65215	155	7	,	,	PUNCT
esrj-65215	155	8	r.	r.	PROPN
esrj-65215	155	9	t.	t.	PROPN
esrj-65215	155	10	(	(	PUNCT
esrj-65215	155	11	1999	1999	NUM
esrj-65215	155	12	)	)	PUNCT
esrj-65215	155	13	.	.	PUNCT
esrj-65215	156	1	finding	find	VERB
esrj-65215	156	2	intentional	intentional	ADJ
esrj-65215	156	3	knowledge	knowledge	NOUN
esrj-65215	156	4	of	of	ADP
esrj-65215	156	5	distance	distance	NOUN
esrj-65215	156	6	-	-	PUNCT
esrj-65215	156	7	based	base	VERB
esrj-65215	156	8	outliers	outlier	NOUN
esrj-65215	156	9	.	.	PUNCT
esrj-65215	157	1	proceedings	proceeding	NOUN
esrj-65215	157	2	of	of	ADP
esrj-65215	157	3	the	the	DET
esrj-65215	157	4	twenty	twenty	NUM
esrj-65215	157	5	-	-	PUNCT
esrj-65215	157	6	fifth	fifth	ADJ
esrj-65215	157	7	international	international	ADJ
esrj-65215	157	8	conference	conference	NOUN
esrj-65215	157	9	on	on	ADP
esrj-65215	157	10	very	very	ADV
esrj-65215	157	11	large	large	ADJ
esrj-65215	157	12	data	datum	NOUN
esrj-65215	157	13	bases	basis	NOUN
esrj-65215	157	14	,	,	PUNCT
esrj-65215	157	15	c.	c.	NOUN
esrj-65215	157	16	211	211	NUM
esrj-65215	157	17	.	.	PUNCT
esrj-65215	158	1	lou	lou	PROPN
esrj-65215	158	2	,	,	PUNCT
esrj-65215	158	3	h.	h.	PROPN
esrj-65215	158	4	l.	l.	PROPN
esrj-65215	158	5	(	(	PUNCT
esrj-65215	158	6	1995	1995	NUM
esrj-65215	158	7	)	)	PUNCT
esrj-65215	158	8	.	.	PUNCT
esrj-65215	159	1	implementing	implement	VERB
esrj-65215	159	2	the	the	DET
esrj-65215	159	3	viterbi	viterbi	ADJ
esrj-65215	159	4	algorithm	algorithm	NOUN
esrj-65215	159	5	.	.	PUNCT
esrj-65215	160	1	ieee	ieee	NOUN
esrj-65215	160	2	signal	signal	PROPN
esrj-65215	160	3	processing	processing	NOUN
esrj-65215	160	4	magazine	magazine	NOUN
esrj-65215	160	5	,	,	PUNCT
esrj-65215	160	6	1053	1053	NUM
esrj-65215	160	7	-	-	SYM
esrj-65215	160	8	5888	5888	NUM
esrj-65215	160	9	,	,	PUNCT
esrj-65215	160	10	42	42	NUM
esrj-65215	160	11	.	.	PUNCT
esrj-65215	161	1	northey	northey	PROPN
esrj-65215	161	2	,	,	PUNCT
esrj-65215	161	3	s.	s.	PROPN
esrj-65215	161	4	,	,	PUNCT
esrj-65215	161	5	mohr	mohr	PROPN
esrj-65215	161	6	,	,	PUNCT
esrj-65215	161	7	s.	s.	PROPN
esrj-65215	161	8	,	,	PUNCT
esrj-65215	161	9	&	&	CCONJ
esrj-65215	161	10	mudd	mudd	PROPN
esrj-65215	161	11	,	,	PUNCT
esrj-65215	161	12	g.	g.	PROPN
esrj-65215	161	13	m.	m.	PROPN
esrj-65215	161	14	(	(	PUNCT
esrj-65215	161	15	2014	2014	NUM
esrj-65215	161	16	)	)	PUNCT
esrj-65215	161	17	.	.	PUNCT
esrj-65215	162	1	modeling	model	VERB
esrj-65215	162	2	future	future	ADJ
esrj-65215	162	3	copper	copper	NOUN
esrj-65215	162	4	ore	ore	NOUN
esrj-65215	162	5	grade	grade	NOUN
esrj-65215	162	6	decline	decline	NOUN
esrj-65215	162	7	based	base	VERB
esrj-65215	162	8	on	on	ADP
esrj-65215	162	9	a	a	DET
esrj-65215	162	10	detailed	detailed	ADJ
esrj-65215	162	11	assessment	assessment	NOUN
esrj-65215	162	12	of	of	ADP
esrj-65215	162	13	copper	copper	NOUN
esrj-65215	162	14	resources	resource	NOUN
esrj-65215	162	15	and	and	CCONJ
esrj-65215	162	16	mining	mining	NOUN
esrj-65215	162	17	.	.	PUNCT
esrj-65215	163	1	resources	resource	NOUN
esrj-65215	163	2	conservation	conservation	NOUN
esrj-65215	163	3	and	and	CCONJ
esrj-65215	163	4	recycling	recycling	NOUN
esrj-65215	163	5	,	,	PUNCT
esrj-65215	163	6	83	83	NUM
esrj-65215	163	7	,	,	PUNCT
esrj-65215	163	8	190	190	NUM
esrj-65215	163	9	-	-	PUNCT
esrj-65215	163	10	201	201	NUM
esrj-65215	163	11	.	.	PUNCT
esrj-65215	164	1	prakobphol	prakobphol	NOUN
esrj-65215	164	2	,	,	PUNCT
esrj-65215	164	3	k.	k.	PROPN
esrj-65215	164	4	,	,	PUNCT
esrj-65215	164	5	&	&	CCONJ
esrj-65215	164	6	zhan	zhan	PROPN
esrj-65215	164	7	j.	j.	PROPN
esrj-65215	164	8	t.	t.	PROPN
esrj-65215	164	9	(	(	PUNCT
esrj-65215	164	10	2008	2008	NUM
esrj-65215	164	11	)	)	PUNCT
esrj-65215	164	12	.	.	PUNCT
esrj-65215	165	1	a	a	DET
esrj-65215	165	2	novel	novel	ADJ
esrj-65215	165	3	outlier	outlier	NOUN
esrj-65215	165	4	detection	detection	NOUN
esrj-65215	165	5	scheme	scheme	NOUN
esrj-65215	165	6	for	for	ADP
esrj-65215	165	7	network	network	NOUN
esrj-65215	165	8	intrusion	intrusion	NOUN
esrj-65215	165	9	detection	detection	NOUN
esrj-65215	165	10	systems	system	NOUN
esrj-65215	165	11	.	.	PUNCT
esrj-65215	166	1	proceedings	proceeding	NOUN
esrj-65215	166	2	of	of	ADP
esrj-65215	166	3	the	the	DET
esrj-65215	166	4	second	second	ADJ
esrj-65215	166	5	international	international	ADJ
esrj-65215	166	6	conference	conference	NOUN
esrj-65215	166	7	on	on	ADP
esrj-65215	166	8	information	information	NOUN
esrj-65215	166	9	security	security	NOUN
esrj-65215	166	10	and	and	CCONJ
esrj-65215	166	11	assurance	assurance	NOUN
esrj-65215	166	12	,	,	PUNCT
esrj-65215	166	13	c.	c.	PROPN
esrj-65215	166	14	555	555	NUM
esrj-65215	166	15	.	.	PUNCT
esrj-65215	166	16	rabiner	rabiner	PROPN
esrj-65215	166	17	,	,	PUNCT
esrj-65215	166	18	r.	r.	PROPN
esrj-65215	166	19	l.	l.	PROPN
esrj-65215	166	20	(	(	PUNCT
esrj-65215	166	21	1989	1989	NUM
esrj-65215	166	22	)	)	PUNCT
esrj-65215	166	23	.	.	PUNCT
esrj-65215	167	1	a	a	DET
esrj-65215	167	2	tutorial	tutorial	NOUN
esrj-65215	167	3	on	on	ADP
esrj-65215	167	4	hidden	hide	VERB
esrj-65215	167	5	markov	markov	NOUN
esrj-65215	167	6	models	model	NOUN
esrj-65215	167	7	and	and	CCONJ
esrj-65215	167	8	selected	select	VERB
esrj-65215	167	9	applications	application	NOUN
esrj-65215	167	10	in	in	ADP
esrj-65215	167	11	speech	speech	NOUN
esrj-65215	167	12	recognition	recognition	NOUN
esrj-65215	167	13	.	.	PUNCT
esrj-65215	168	1	proceedings	proceeding	NOUN
esrj-65215	168	2	of	of	ADP
esrj-65215	168	3	the	the	DET
esrj-65215	168	4	ieee	ieee	NOUN
esrj-65215	168	5	.	.	PUNCT
esrj-65215	169	1	77(2	77(2	X
esrj-65215	169	2	)	)	PUNCT
esrj-65215	169	3	,	,	PUNCT
esrj-65215	169	4	257	257	X
esrj-65215	169	5	.	.	PUNCT
esrj-65215	170	1	ramaswamy	ramaswamy	ADJ
esrj-65215	170	2	,	,	PUNCT
esrj-65215	170	3	s.	s.	PROPN
esrj-65215	170	4	,	,	PUNCT
esrj-65215	170	5	rastogi	rastogi	PROPN
esrj-65215	170	6	,	,	PUNCT
esrj-65215	170	7	r.	r.	PROPN
esrj-65215	170	8	,	,	PUNCT
esrj-65215	170	9	&	&	CCONJ
esrj-65215	170	10	kyuseok	kyuseok	PROPN
esrj-65215	170	11	,	,	PUNCT
esrj-65215	170	12	s.	s.	PROPN
esrj-65215	170	13	(	(	PUNCT
esrj-65215	170	14	2000	2000	NUM
esrj-65215	170	15	)	)	PUNCT
esrj-65215	170	16	.	.	PUNCT
esrj-65215	171	1	efficient	efficient	ADJ
esrj-65215	171	2	algorithms	algorithm	NOUN
esrj-65215	171	3	for	for	ADP
esrj-65215	171	4	mining	mining	NOUN
esrj-65215	171	5	outliers	outlier	NOUN
esrj-65215	171	6	from	from	ADP
esrj-65215	171	7	large	large	ADJ
esrj-65215	171	8	data	datum	NOUN
esrj-65215	171	9	sets	set	NOUN
esrj-65215	171	10	.	.	PUNCT
esrj-65215	172	1	proceedings	proceeding	NOUN
esrj-65215	172	2	of	of	ADP
esrj-65215	172	3	the	the	DET
esrj-65215	172	4	acm	acm	PROPN
esrj-65215	172	5	sigmod	sigmod	PROPN
esrj-65215	172	6	international	international	ADJ
esrj-65215	172	7	conference	conference	NOUN
esrj-65215	172	8	on	on	ADP
esrj-65215	172	9	management	management	NOUN
esrj-65215	172	10	of	of	ADP
esrj-65215	172	11	data	data	PROPN
esrj-65215	172	12	dallas	dallas	PROPN
esrj-65215	172	13	,	,	PUNCT
esrj-65215	172	14	c.	c.	PROPN
esrj-65215	172	15	427	427	NUM
esrj-65215	172	16	.	.	PUNCT
esrj-65215	173	1	rivoirard	rivoirard	PROPN
esrj-65215	173	2	,	,	PUNCT
esrj-65215	173	3	j.	j.	PROPN
esrj-65215	173	4	,	,	PUNCT
esrj-65215	173	5	demange	demange	PROPN
esrj-65215	173	6	,	,	PUNCT
esrj-65215	173	7	c.	c.	PROPN
esrj-65215	173	8	,	,	PUNCT
esrj-65215	173	9	&	&	CCONJ
esrj-65215	173	10	freulon	freulon	PROPN
esrj-65215	173	11	,	,	PUNCT
esrj-65215	173	12	x.	x.	NOUN
esrj-65215	173	13	(	(	PUNCT
esrj-65215	173	14	2013	2013	NUM
esrj-65215	173	15	)	)	PUNCT
esrj-65215	173	16	.	.	PUNCT
esrj-65215	174	1	a	a	DET
esrj-65215	174	2	top	top	ADJ
esrj-65215	174	3	-	-	PUNCT
esrj-65215	174	4	cut	cut	VERB
esrj-65215	174	5	model	model	NOUN
esrj-65215	174	6	for	for	ADP
esrj-65215	174	7	deposits	deposit	NOUN
esrj-65215	174	8	with	with	ADP
esrj-65215	174	9	heavy	heavy	ADJ
esrj-65215	174	10	-	-	PUNCT
esrj-65215	174	11	tailed	tail	VERB
esrj-65215	174	12	grade	grade	NOUN
esrj-65215	174	13	distribution	distribution	NOUN
esrj-65215	174	14	.	.	PUNCT
esrj-65215	175	1	mathematical	mathematical	ADJ
esrj-65215	175	2	geosciences	geoscience	NOUN
esrj-65215	175	3	,	,	PUNCT
esrj-65215	175	4	45(8	45(8	NOUN
esrj-65215	175	5	)	)	PUNCT
esrj-65215	175	6	,	,	PUNCT
esrj-65215	175	7	967	967	NUM
esrj-65215	175	8	-	-	SYM
esrj-65215	175	9	982	982	NUM
esrj-65215	175	10	.	.	PUNCT
esrj-65215	176	1	takeuchi	takeuchi	PROPN
esrj-65215	176	2	,	,	PUNCT
esrj-65215	176	3	j.	j.	PROPN
esrj-65215	176	4	,	,	PUNCT
esrj-65215	176	5	&	&	CCONJ
esrj-65215	176	6	yamanishi	yamanishi	PROPN
esrj-65215	176	7	,	,	PUNCT
esrj-65215	176	8	k.	k.	PROPN
esrj-65215	176	9	(	(	PUNCT
esrj-65215	176	10	2006	2006	NUM
esrj-65215	176	11	)	)	PUNCT
esrj-65215	176	12	.	.	PUNCT
esrj-65215	177	1	a	a	DET
esrj-65215	177	2	unifying	unifying	ADJ
esrj-65215	177	3	framework	framework	NOUN
esrj-65215	177	4	for	for	ADP
esrj-65215	177	5	detecting	detect	VERB
esrj-65215	177	6	outliers	outlier	NOUN
esrj-65215	177	7	and	and	CCONJ
esrj-65215	177	8	change	change	VERB
esrj-65215	177	9	points	point	NOUN
esrj-65215	177	10	from	from	ADP
esrj-65215	177	11	time	time	NOUN
esrj-65215	177	12	series	series	PROPN
esrj-65215	177	13	.	.	PUNCT
esrj-65215	178	1	ieee	ieee	NOUN
esrj-65215	178	2	transactions	transaction	NOUN
esrj-65215	178	3	on	on	ADP
esrj-65215	178	4	knowledge	knowledge	NOUN
esrj-65215	178	5	and	and	CCONJ
esrj-65215	178	6	data	datum	NOUN
esrj-65215	178	7	engineering	engineering	NOUN
esrj-65215	178	8	,	,	PUNCT
esrj-65215	178	9	18(4	18(4	NUM
esrj-65215	178	10	)	)	PUNCT
esrj-65215	178	11	,	,	PUNCT
esrj-65215	178	12	482	482	NUM
esrj-65215	178	13	.	.	PUNCT
esrj-65215	179	1	trindade	trindade	VERB
esrj-65215	179	2	,	,	PUNCT
esrj-65215	179	3	a.	a.	NOUN
esrj-65215	179	4	a.	a.	NOUN
esrj-65215	179	5	(	(	PUNCT
esrj-65215	179	6	2003	2003	NUM
esrj-65215	179	7	)	)	PUNCT
esrj-65215	179	8	.	.	PUNCT
esrj-65215	180	1	implementing	implement	VERB
esrj-65215	180	2	modified	modify	VERB
esrj-65215	180	3	burg	burg	NOUN
esrj-65215	180	4	algorithms	algorithm	NOUN
esrj-65215	180	5	in	in	ADP
esrj-65215	180	6	multivariate	multivariate	NOUN
esrj-65215	180	7	subset	subset	VERB
esrj-65215	180	8	auto	auto	NOUN
esrj-65215	180	9	-	-	PUNCT
esrj-65215	180	10	regressions	regression	NOUN
esrj-65215	180	11	modeling	modeling	NOUN
esrj-65215	180	12	.	.	PUNCT
esrj-65215	181	1	department	department	NOUN
esrj-65215	181	2	of	of	ADP
esrj-65215	181	3	statistics	statistic	NOUN
esrj-65215	181	4	,	,	PUNCT
esrj-65215	181	5	university	university	PROPN
esrj-65215	181	6	of	of	ADP
esrj-65215	181	7	florida	florida	PROPN
esrj-65215	181	8	.	.	PUNCT
esrj-65215	182	1	wang	wang	PROPN
esrj-65215	182	2	,	,	PUNCT
esrj-65215	182	3	j.	j.	PROPN
esrj-65215	182	4	s.	s.	PROPN
esrj-65215	182	5	&	&	CCONJ
esrj-65215	182	6	chiang	chiang	PROPN
esrj-65215	182	7	,	,	PUNCT
esrj-65215	182	8	j.	j.	PROPN
esrj-65215	182	9	c.	c.	PROPN
esrj-65215	182	10	(	(	PUNCT
esrj-65215	182	11	2008	2008	NUM
esrj-65215	182	12	)	)	PUNCT
esrj-65215	182	13	.	.	PUNCT
esrj-65215	183	1	a	a	DET
esrj-65215	183	2	cluster	cluster	NOUN
esrj-65215	183	3	validity	validity	NOUN
esrj-65215	183	4	measure	measure	NOUN
esrj-65215	183	5	with	with	ADP
esrj-65215	183	6	outlier	outlier	ADJ
esrj-65215	183	7	detection	detection	NOUN
esrj-65215	183	8	for	for	ADP
esrj-65215	183	9	support	support	NOUN
esrj-65215	183	10	vector	vector	NOUN
esrj-65215	183	11	clustering	clustering	NOUN
esrj-65215	183	12	.	.	PUNCT
esrj-65215	184	1	ieee	ieee	NOUN
esrj-65215	184	2	transactions	transaction	NOUN
esrj-65215	184	3	on	on	ADP
esrj-65215	184	4	systems	system	NOUN
esrj-65215	184	5	,	,	PUNCT
esrj-65215	184	6	man	man	NOUN
esrj-65215	184	7	,	,	PUNCT
esrj-65215	184	8	and	and	CCONJ
esrj-65215	184	9	cybernetics	cybernetic	NOUN
esrj-65215	184	10	,	,	PUNCT
esrj-65215	184	11	part	part	NOUN
esrj-65215	184	12	b	b	PROPN
esrj-65215	184	13	(	(	PUNCT
esrj-65215	184	14	cybernetics	cybernetic	NOUN
esrj-65215	184	15	)	)	PUNCT
esrj-65215	184	16	,	,	PUNCT
esrj-65215	184	17	38(1	38(1	NUM
esrj-65215	184	18	)	)	PUNCT
esrj-65215	184	19	,	,	PUNCT
esrj-65215	184	20	78	78	NUM
esrj-65215	184	21	.	.	PUNCT