id	sid	tid	token	lemma	pos
hjic-135	1	1	microsoft	microsoft	PROPN
hjic-135	1	2	word	word	NOUN
hjic-135	1	3	01_r.doc	01_r.doc	NUM
hjic-135	1	4	hungarian	hungarian	ADJ
hjic-135	1	5	journal	journal	NOUN
hjic-135	1	6	of	of	ADP
hjic-135	1	7	industrial	industrial	ADJ
hjic-135	1	8	chemistry	chemistry	NOUN
hjic-135	1	9	veszprém	veszprém	NOUN
hjic-135	1	10	vol	vol	NOUN
hjic-135	1	11	.	.	PROPN
hjic-135	1	12	35	35	NUM
hjic-135	1	13	.	.	NUM
hjic-135	1	14	,	,	PUNCT
hjic-135	2	1	pp	pp	ADJ
hjic-135	2	2	.	.	PUNCT
hjic-135	3	1	95	95	NUM
hjic-135	3	2	-	-	SYM
hjic-135	3	3	99	99	NUM
hjic-135	3	4	(	(	PUNCT
hjic-135	3	5	2007	2007	NUM
hjic-135	3	6	)	)	PUNCT
hjic-135	3	7	decision	decision	NOUN
hjic-135	3	8	tree	tree	NOUN
hjic-135	3	9	based	base	VERB
hjic-135	3	10	qualitative	qualitative	ADJ
hjic-135	3	11	analysis	analysis	NOUN
hjic-135	3	12	of	of	ADP
hjic-135	3	13	operating	operate	VERB
hjic-135	3	14	regimes	regime	NOUN
hjic-135	3	15	in	in	ADP
hjic-135	3	16	industrial	industrial	ADJ
hjic-135	3	17	production	production	NOUN
hjic-135	3	18	processes	process	NOUN
hjic-135	3	19	*	*	PUNCT
hjic-135	3	20	t.	t.	PROPN
hjic-135	3	21	varga1	varga1	PROPN
hjic-135	3	22	,	,	PUNCT
hjic-135	3	23	f.	f.	PROPN
hjic-135	3	24	szeifert1	szeifert1	PROPN
hjic-135	3	25	,	,	PUNCT
hjic-135	3	26	j.	j.	PROPN
hjic-135	3	27	réti2	réti2	PROPN
hjic-135	3	28	,	,	PUNCT
hjic-135	3	29	j.	j.	PROPN
hjic-135	3	30	abonyi1	abonyi1	PROPN
hjic-135	4	1	1university	1university	NUM
hjic-135	4	2	of	of	ADP
hjic-135	4	3	pannonia	pannonia	PROPN
hjic-135	4	4	,	,	PUNCT
hjic-135	4	5	department	department	NOUN
hjic-135	4	6	of	of	ADP
hjic-135	4	7	process	process	NOUN
hjic-135	4	8	engineering	engineering	NOUN
hjic-135	4	9	,	,	PUNCT
hjic-135	4	10	h-8201	h-8201	NUM
hjic-135	4	11	veszprém	veszprém	NOUN
hjic-135	4	12	,	,	PUNCT
hjic-135	4	13	p.o.box	p.o.box	PROPN
hjic-135	4	14	158	158	NUM
hjic-135	4	15	,	,	PUNCT
hjic-135	4	16	hungary	hungary	PROPN
hjic-135	4	17	2borsodchem	2borsodchem	NUM
hjic-135	4	18	ltd	ltd	PROPN
hjic-135	4	19	.	.	PROPN
hjic-135	4	20	,	,	PUNCT
hjic-135	4	21	h-3700	h-3700	PROPN
hjic-135	4	22	,	,	PUNCT
hjic-135	4	23	kazincbarcika	kazincbarcika	NOUN
hjic-135	4	24	,	,	PUNCT
hjic-135	4	25	bolyai	bolyai	NOUN
hjic-135	4	26	square	square	NOUN
hjic-135	4	27	6	6	NUM
hjic-135	4	28	.	.	PUNCT
hjic-135	4	29	,	,	PUNCT
hjic-135	4	30	hungary	hungary	VERB
hjic-135	4	31	the	the	DET
hjic-135	4	32	qualitative	qualitative	ADJ
hjic-135	4	33	analysis	analysis	NOUN
hjic-135	4	34	of	of	ADP
hjic-135	4	35	complex	complex	ADJ
hjic-135	4	36	process	process	NOUN
hjic-135	4	37	systems	system	NOUN
hjic-135	4	38	is	be	AUX
hjic-135	4	39	an	an	DET
hjic-135	4	40	important	important	ADJ
hjic-135	4	41	task	task	NOUN
hjic-135	4	42	at	at	ADP
hjic-135	4	43	the	the	DET
hjic-135	4	44	design	design	NOUN
hjic-135	4	45	of	of	ADP
hjic-135	4	46	control	control	NOUN
hjic-135	4	47	and	and	CCONJ
hjic-135	4	48	process	process	NOUN
hjic-135	4	49	monitoring	monitor	VERB
hjic-135	4	50	algorithms	algorithm	NOUN
hjic-135	4	51	.	.	PUNCT
hjic-135	5	1	qualitative	qualitative	ADJ
hjic-135	5	2	models	model	NOUN
hjic-135	5	3	require	require	VERB
hjic-135	5	4	interpretable	interpretable	ADJ
hjic-135	5	5	description	description	NOUN
hjic-135	5	6	of	of	ADP
hjic-135	5	7	the	the	DET
hjic-135	5	8	operating	operate	VERB
hjic-135	5	9	regimes	regime	NOUN
hjic-135	5	10	of	of	ADP
hjic-135	5	11	the	the	DET
hjic-135	5	12	process	process	NOUN
hjic-135	5	13	.	.	PUNCT
hjic-135	6	1	this	this	DET
hjic-135	6	2	work	work	NOUN
hjic-135	6	3	shows	show	VERB
hjic-135	6	4	a	a	DET
hjic-135	6	5	novel	novel	ADJ
hjic-135	6	6	approach	approach	NOUN
hjic-135	6	7	to	to	PART
hjic-135	6	8	discover	discover	VERB
hjic-135	6	9	and	and	CCONJ
hjic-135	6	10	isolate	isolate	VERB
hjic-135	6	11	operating	operating	NOUN
hjic-135	6	12	regimes	regime	NOUN
hjic-135	6	13	of	of	ADP
hjic-135	6	14	process	process	NOUN
hjic-135	6	15	systems	system	NOUN
hjic-135	6	16	based	base	VERB
hjic-135	6	17	on	on	ADP
hjic-135	6	18	process	process	NOUN
hjic-135	6	19	models	model	NOUN
hjic-135	6	20	,	,	PUNCT
hjic-135	6	21	time	time	NOUN
hjic-135	6	22	series	series	NOUN
hjic-135	6	23	analysis	analysis	NOUN
hjic-135	6	24	,	,	PUNCT
hjic-135	6	25	and	and	CCONJ
hjic-135	6	26	decision	decision	NOUN
hjic-135	6	27	tree	tree	NOUN
hjic-135	6	28	induction	induction	NOUN
hjic-135	6	29	technique	technique	NOUN
hjic-135	6	30	.	.	PUNCT
hjic-135	7	1	the	the	DET
hjic-135	7	2	novelty	novelty	NOUN
hjic-135	7	3	of	of	ADP
hjic-135	7	4	this	this	DET
hjic-135	7	5	approach	approach	NOUN
hjic-135	7	6	is	be	AUX
hjic-135	7	7	the	the	DET
hjic-135	7	8	application	application	NOUN
hjic-135	7	9	of	of	ADP
hjic-135	7	10	time	time	NOUN
hjic-135	7	11	series	series	PROPN
hjic-135	7	12	segmentation	segmentation	NOUN
hjic-135	7	13	algorithms	algorithm	NOUN
hjic-135	7	14	to	to	PART
hjic-135	7	15	detect	detect	VERB
hjic-135	7	16	the	the	DET
hjic-135	7	17	homogeneous	homogeneous	ADJ
hjic-135	7	18	periods	period	NOUN
hjic-135	7	19	of	of	ADP
hjic-135	7	20	the	the	DET
hjic-135	7	21	operation	operation	NOUN
hjic-135	7	22	.	.	PUNCT
hjic-135	8	1	advanced	advanced	ADJ
hjic-135	8	2	sequence	sequence	NOUN
hjic-135	8	3	alignment	alignment	NOUN
hjic-135	8	4	algorithm	algorithm	NOUN
hjic-135	8	5	used	use	VERB
hjic-135	8	6	in	in	ADP
hjic-135	8	7	bioinformatics	bioinformatics	NOUN
hjic-135	8	8	is	be	AUX
hjic-135	8	9	applied	apply	VERB
hjic-135	8	10	for	for	ADP
hjic-135	8	11	the	the	DET
hjic-135	8	12	calculation	calculation	NOUN
hjic-135	8	13	of	of	ADP
hjic-135	8	14	the	the	DET
hjic-135	8	15	similarity	similarity	NOUN
hjic-135	8	16	of	of	ADP
hjic-135	8	17	the	the	DET
hjic-135	8	18	process	process	NOUN
hjic-135	8	19	trends	trend	NOUN
hjic-135	8	20	described	describe	VERB
hjic-135	8	21	by	by	ADP
hjic-135	8	22	qualitative	qualitative	ADJ
hjic-135	8	23	variables	variable	NOUN
hjic-135	8	24	.	.	PUNCT
hjic-135	9	1	decision	decision	NOUN
hjic-135	9	2	tree	tree	NOUN
hjic-135	9	3	induction	induction	NOUN
hjic-135	9	4	is	be	AUX
hjic-135	9	5	applied	apply	VERB
hjic-135	9	6	for	for	ADP
hjic-135	9	7	the	the	DET
hjic-135	9	8	transformation	transformation	NOUN
hjic-135	9	9	of	of	ADP
hjic-135	9	10	this	this	DET
hjic-135	9	11	hidden	hide	VERB
hjic-135	9	12	knowledge	knowledge	NOUN
hjic-135	9	13	into	into	ADP
hjic-135	9	14	easily	easily	ADV
hjic-135	9	15	interpretable	interpretable	ADJ
hjic-135	9	16	rule	rule	NOUN
hjic-135	9	17	base	base	NOUN
hjic-135	9	18	to	to	PART
hjic-135	9	19	represent	represent	VERB
hjic-135	9	20	the	the	DET
hjic-135	9	21	operation	operation	NOUN
hjic-135	9	22	regions	region	NOUN
hjic-135	9	23	of	of	ADP
hjic-135	9	24	the	the	DET
hjic-135	9	25	process	process	NOUN
hjic-135	9	26	.	.	PUNCT
hjic-135	10	1	the	the	DET
hjic-135	10	2	whole	whole	ADJ
hjic-135	10	3	methodology	methodology	NOUN
hjic-135	10	4	is	be	AUX
hjic-135	10	5	applied	apply	VERB
hjic-135	10	6	to	to	PART
hjic-135	10	7	detect	detect	VERB
hjic-135	10	8	operating	operating	NOUN
hjic-135	10	9	regimes	regime	NOUN
hjic-135	10	10	of	of	ADP
hjic-135	10	11	an	an	DET
hjic-135	10	12	industrial	industrial	ADJ
hjic-135	10	13	fixed	fix	VERB
hjic-135	10	14	bed	bed	NOUN
hjic-135	10	15	tube	tube	NOUN
hjic-135	10	16	reactor	reactor	NOUN
hjic-135	10	17	.	.	PUNCT
hjic-135	11	1	keywords	keyword	NOUN
hjic-135	11	2	:	:	PUNCT
hjic-135	11	3	qualitative	qualitative	ADJ
hjic-135	11	4	analysis	analysis	NOUN
hjic-135	11	5	,	,	PUNCT
hjic-135	11	6	decision	decision	NOUN
hjic-135	11	7	tree	tree	NOUN
hjic-135	11	8	,	,	PUNCT
hjic-135	11	9	operating	operating	NOUN
hjic-135	11	10	regime	regime	NOUN
hjic-135	11	11	,	,	PUNCT
hjic-135	11	12	sequence	sequence	NOUN
hjic-135	11	13	alignment	alignment	NOUN
hjic-135	11	14	*	*	PUNCT
hjic-135	11	15	an	an	DET
hjic-135	11	16	extended	extended	ADJ
hjic-135	11	17	version	version	NOUN
hjic-135	11	18	of	of	ADP
hjic-135	11	19	the	the	DET
hjic-135	11	20	lecture	lecture	NOUN
hjic-135	11	21	presented	present	VERB
hjic-135	11	22	in	in	ADP
hjic-135	11	23	18th	18th	ADJ
hjic-135	11	24	escape	escape	NOUN
hjic-135	11	25	conference	conference	NOUN
hjic-135	11	26	,	,	PUNCT
hjic-135	11	27	lyon	lyon	PROPN
hjic-135	11	28	,	,	PUNCT
hjic-135	11	29	france	france	PROPN
hjic-135	11	30	,	,	PUNCT
hjic-135	11	31	june	june	PROPN
hjic-135	11	32	1	1	NUM
hjic-135	11	33	-	-	SYM
hjic-135	11	34	4	4	NUM
hjic-135	11	35	,	,	PUNCT
hjic-135	11	36	2008	2008	NUM
hjic-135	11	37	introduction	introduction	NOUN
hjic-135	11	38	the	the	DET
hjic-135	11	39	improvement	improvement	NOUN
hjic-135	11	40	of	of	ADP
hjic-135	11	41	product	product	NOUN
hjic-135	11	42	quality	quality	NOUN
hjic-135	11	43	,	,	PUNCT
hjic-135	11	44	the	the	DET
hjic-135	11	45	need	need	NOUN
hjic-135	11	46	for	for	ADP
hjic-135	11	47	the	the	DET
hjic-135	11	48	reduction	reduction	NOUN
hjic-135	11	49	of	of	ADP
hjic-135	11	50	energy	energy	NOUN
hjic-135	11	51	and	and	CCONJ
hjic-135	11	52	materials	material	NOUN
hjic-135	11	53	waste	waste	NOUN
hjic-135	11	54	,	,	PUNCT
hjic-135	11	55	and	and	CCONJ
hjic-135	11	56	the	the	DET
hjic-135	11	57	increased	increase	VERB
hjic-135	11	58	flexibility	flexibility	NOUN
hjic-135	11	59	and	and	CCONJ
hjic-135	11	60	complexity	complexity	NOUN
hjic-135	11	61	of	of	ADP
hjic-135	11	62	the	the	DET
hjic-135	11	63	production	production	NOUN
hjic-135	11	64	systems	system	NOUN
hjic-135	11	65	,	,	PUNCT
hjic-135	11	66	process	process	NOUN
hjic-135	11	67	operators	operator	NOUN
hjic-135	11	68	require	require	VERB
hjic-135	11	69	more	more	ADJ
hjic-135	11	70	and	and	CCONJ
hjic-135	11	71	more	more	ADJ
hjic-135	11	72	insight	insight	NOUN
hjic-135	11	73	into	into	ADP
hjic-135	11	74	the	the	DET
hjic-135	11	75	behaviour	behaviour	NOUN
hjic-135	11	76	of	of	ADP
hjic-135	11	77	the	the	DET
hjic-135	11	78	process	process	NOUN
hjic-135	11	79	.	.	PUNCT
hjic-135	12	1	next	next	ADJ
hjic-135	12	2	to	to	ADP
hjic-135	12	3	these	these	DET
hjic-135	12	4	requirements	requirement	NOUN
hjic-135	12	5	supporting	support	VERB
hjic-135	12	6	expert	expert	NOUN
hjic-135	12	7	systems	system	NOUN
hjic-135	12	8	should	should	AUX
hjic-135	12	9	also	also	ADV
hjic-135	12	10	be	be	AUX
hjic-135	12	11	able	able	ADJ
hjic-135	12	12	to	to	PART
hjic-135	12	13	detect	detect	VERB
hjic-135	12	14	failures	failure	NOUN
hjic-135	12	15	,	,	PUNCT
hjic-135	12	16	discover	discover	VERB
hjic-135	12	17	the	the	DET
hjic-135	12	18	source	source	NOUN
hjic-135	12	19	of	of	ADP
hjic-135	12	20	each	each	DET
hjic-135	12	21	failure	failure	NOUN
hjic-135	12	22	,	,	PUNCT
hjic-135	12	23	and	and	CCONJ
hjic-135	12	24	forecast	forecast	VERB
hjic-135	12	25	false	false	ADJ
hjic-135	12	26	operations	operation	NOUN
hjic-135	12	27	(	(	PUNCT
hjic-135	12	28	e.g.	e.g.	ADV
hjic-135	12	29	thermal	thermal	ADJ
hjic-135	12	30	runaway	runaway	NOUN
hjic-135	12	31	)	)	PUNCT
hjic-135	12	32	to	to	PART
hjic-135	12	33	prevent	prevent	VERB
hjic-135	12	34	from	from	ADP
hjic-135	12	35	the	the	DET
hjic-135	12	36	development	development	NOUN
hjic-135	12	37	of	of	ADP
hjic-135	12	38	production	production	NOUN
hjic-135	12	39	breakdowns	breakdown	NOUN
hjic-135	12	40	.	.	PUNCT
hjic-135	13	1	data	datum	NOUN
hjic-135	13	2	mining	mining	NOUN
hjic-135	13	3	of	of	ADP
hjic-135	13	4	historical	historical	ADJ
hjic-135	13	5	process	process	NOUN
hjic-135	13	6	data	datum	NOUN
hjic-135	13	7	along	along	ADP
hjic-135	13	8	advanced	advanced	ADJ
hjic-135	13	9	process	process	NOUN
hjic-135	13	10	modelling	modelling	NOUN
hjic-135	13	11	and	and	CCONJ
hjic-135	13	12	monitoring	monitor	VERB
hjic-135	13	13	algorithms	algorithm	NOUN
hjic-135	13	14	can	can	AUX
hjic-135	13	15	offer	offer	VERB
hjic-135	13	16	effective	effective	ADJ
hjic-135	13	17	solution	solution	NOUN
hjic-135	13	18	for	for	ADP
hjic-135	13	19	this	this	DET
hjic-135	13	20	problem	problem	NOUN
hjic-135	13	21	.	.	PUNCT
hjic-135	14	1	quantitative	quantitative	ADJ
hjic-135	14	2	data	datum	NOUN
hjic-135	14	3	intensive	intensive	ADJ
hjic-135	14	4	methods	method	NOUN
hjic-135	14	5	are	be	AUX
hjic-135	14	6	widely	widely	ADV
hjic-135	14	7	applied	apply	VERB
hjic-135	14	8	because	because	SCONJ
hjic-135	14	9	of	of	ADP
hjic-135	14	10	their	their	PRON
hjic-135	14	11	statistical	statistical	ADJ
hjic-135	14	12	nature	nature	NOUN
hjic-135	14	13	,	,	PUNCT
hjic-135	14	14	but	but	CCONJ
hjic-135	14	15	it	it	PRON
hjic-135	14	16	always	always	ADV
hjic-135	14	17	claims	claim	VERB
hjic-135	14	18	prior	prior	ADJ
hjic-135	14	19	knowledge	knowledge	NOUN
hjic-135	14	20	to	to	PART
hjic-135	14	21	analyze	analyze	VERB
hjic-135	14	22	the	the	DET
hjic-135	14	23	results	result	NOUN
hjic-135	14	24	.	.	PUNCT
hjic-135	15	1	usually	usually	ADV
hjic-135	15	2	prior	prior	ADJ
hjic-135	15	3	knowledge	knowledge	NOUN
hjic-135	15	4	is	be	AUX
hjic-135	15	5	available	available	ADJ
hjic-135	15	6	in	in	ADP
hjic-135	15	7	the	the	DET
hjic-135	15	8	form	form	NOUN
hjic-135	15	9	of	of	ADP
hjic-135	15	10	qualitative	qualitative	NOUN
hjic-135	15	11	or	or	CCONJ
hjic-135	15	12	tendency	tendency	NOUN
hjic-135	15	13	models	model	NOUN
hjic-135	15	14	of	of	ADP
hjic-135	15	15	the	the	DET
hjic-135	15	16	process	process	NOUN
hjic-135	15	17	.	.	PUNCT
hjic-135	16	1	hence	hence	ADV
hjic-135	16	2	,	,	PUNCT
hjic-135	16	3	qualitative	qualitative	VERB
hjic-135	16	4	analysis	analysis	NOUN
hjic-135	16	5	of	of	ADP
hjic-135	16	6	complex	complex	ADJ
hjic-135	16	7	process	process	NOUN
hjic-135	16	8	systems	system	NOUN
hjic-135	16	9	is	be	AUX
hjic-135	16	10	an	an	DET
hjic-135	16	11	important	important	ADJ
hjic-135	16	12	task	task	NOUN
hjic-135	16	13	at	at	ADP
hjic-135	16	14	the	the	DET
hjic-135	16	15	design	design	NOUN
hjic-135	16	16	of	of	ADP
hjic-135	16	17	control	control	NOUN
hjic-135	16	18	and	and	CCONJ
hjic-135	16	19	process	process	NOUN
hjic-135	16	20	monitoring	monitor	VERB
hjic-135	16	21	algorithms	algorithm	NOUN
hjic-135	16	22	.	.	PUNCT
hjic-135	17	1	qualitative	qualitative	ADJ
hjic-135	17	2	models	model	NOUN
hjic-135	17	3	require	require	VERB
hjic-135	17	4	the	the	DET
hjic-135	17	5	interpretable	interpretable	ADJ
hjic-135	17	6	description	description	NOUN
hjic-135	17	7	not	not	PART
hjic-135	17	8	only	only	ADV
hjic-135	17	9	the	the	DET
hjic-135	17	10	historical	historical	ADJ
hjic-135	17	11	process	process	NOUN
hjic-135	17	12	data	datum	NOUN
hjic-135	17	13	but	but	CCONJ
hjic-135	17	14	also	also	ADV
hjic-135	17	15	the	the	DET
hjic-135	17	16	operating	operate	VERB
hjic-135	17	17	regimes	regime	NOUN
hjic-135	17	18	of	of	ADP
hjic-135	17	19	the	the	DET
hjic-135	17	20	process	process	NOUN
hjic-135	17	21	.	.	PUNCT
hjic-135	18	1	a	a	DET
hjic-135	18	2	common	common	ADJ
hjic-135	18	3	method	method	NOUN
hjic-135	18	4	for	for	ADP
hjic-135	18	5	decreasing	decrease	VERB
hjic-135	18	6	the	the	DET
hjic-135	18	7	size	size	NOUN
hjic-135	18	8	of	of	ADP
hjic-135	18	9	a	a	DET
hjic-135	18	10	data	datum	NOUN
hjic-135	18	11	set	set	VERB
hjic-135	18	12	and	and	CCONJ
hjic-135	18	13	to	to	PART
hjic-135	18	14	get	get	VERB
hjic-135	18	15	qualitative	qualitative	ADJ
hjic-135	18	16	instead	instead	ADV
hjic-135	18	17	of	of	ADP
hjic-135	18	18	quantitative	quantitative	ADJ
hjic-135	18	19	information	information	NOUN
hjic-135	18	20	is	be	AUX
hjic-135	18	21	time	time	NOUN
hjic-135	18	22	series	series	PROPN
hjic-135	18	23	segmentation	segmentation	PROPN
hjic-135	18	24	.	.	PUNCT
hjic-135	19	1	segmentation	segmentation	NOUN
hjic-135	19	2	means	mean	VERB
hjic-135	19	3	finding	find	VERB
hjic-135	19	4	time	time	NOUN
hjic-135	19	5	intervals	interval	NOUN
hjic-135	19	6	where	where	SCONJ
hjic-135	19	7	a	a	DET
hjic-135	19	8	trajectory	trajectory	NOUN
hjic-135	19	9	of	of	ADP
hjic-135	19	10	a	a	DET
hjic-135	19	11	state	state	NOUN
hjic-135	19	12	variable	variable	NOUN
hjic-135	19	13	is	be	AUX
hjic-135	19	14	homogeneous	homogeneous	ADJ
hjic-135	19	15	[	[	X
hjic-135	19	16	1	1	NUM
hjic-135	19	17	]	]	PUNCT
hjic-135	19	18	.	.	PUNCT
hjic-135	20	1	segments	segment	NOUN
hjic-135	20	2	can	can	AUX
hjic-135	20	3	be	be	AUX
hjic-135	20	4	linear	linear	ADJ
hjic-135	20	5	,	,	PUNCT
hjic-135	20	6	steady	steady	ADJ
hjic-135	20	7	-	-	PUNCT
hjic-135	20	8	state	state	NOUN
hjic-135	20	9	or	or	CCONJ
hjic-135	20	10	transient	transient	ADJ
hjic-135	20	11	,	,	PUNCT
hjic-135	20	12	indicative	indicative	ADJ
hjic-135	20	13	for	for	ADP
hjic-135	20	14	normal	normal	ADJ
hjic-135	20	15	,	,	PUNCT
hjic-135	20	16	transient	transient	ADJ
hjic-135	20	17	or	or	CCONJ
hjic-135	20	18	abnormal	abnormal	ADJ
hjic-135	20	19	operation	operation	NOUN
hjic-135	20	20	.	.	PUNCT
hjic-135	21	1	cheung	cheung	PROPN
hjic-135	21	2	and	and	CCONJ
hjic-135	21	3	stephanopoulos	stephanopoulos	PROPN
hjic-135	21	4	in	in	ADP
hjic-135	21	5	[	[	X
hjic-135	21	6	2	2	NUM
hjic-135	21	7	]	]	PUNCT
hjic-135	21	8	proposed	propose	VERB
hjic-135	21	9	a	a	DET
hjic-135	21	10	second	second	ADJ
hjic-135	21	11	order	order	NOUN
hjic-135	21	12	segmentation	segmentation	NOUN
hjic-135	21	13	method	method	NOUN
hjic-135	21	14	for	for	ADP
hjic-135	21	15	process	process	NOUN
hjic-135	21	16	trend	trend	NOUN
hjic-135	21	17	analysis	analysis	NOUN
hjic-135	21	18	,	,	PUNCT
hjic-135	21	19	the	the	DET
hjic-135	21	20	application	application	NOUN
hjic-135	21	21	of	of	ADP
hjic-135	21	22	episodes	episode	NOUN
hjic-135	21	23	with	with	ADP
hjic-135	21	24	a	a	DET
hjic-135	21	25	geometrical	geometrical	ADJ
hjic-135	21	26	representation	representation	NOUN
hjic-135	21	27	of	of	ADP
hjic-135	21	28	triangles	triangle	NOUN
hjic-135	21	29	.	.	PUNCT
hjic-135	22	1	triangular	triangular	NOUN
hjic-135	22	2	episodes	episode	NOUN
hjic-135	22	3	use	use	VERB
hjic-135	22	4	the	the	DET
hjic-135	22	5	first	first	ADJ
hjic-135	22	6	and	and	CCONJ
hjic-135	22	7	second	second	ADJ
hjic-135	22	8	derivatives	derivative	NOUN
hjic-135	22	9	of	of	ADP
hjic-135	22	10	a	a	DET
hjic-135	22	11	time	time	NOUN
hjic-135	22	12	series	series	NOUN
hjic-135	22	13	on	on	ADP
hjic-135	22	14	a	a	DET
hjic-135	22	15	geometrical	geometrical	ADJ
hjic-135	22	16	basis	basis	NOUN
hjic-135	22	17	,	,	PUNCT
hjic-135	22	18	hence	hence	ADV
hjic-135	22	19	seven	seven	NUM
hjic-135	22	20	primitive	primitive	ADJ
hjic-135	22	21	episodes	episode	NOUN
hjic-135	22	22	can	can	AUX
hjic-135	22	23	be	be	AUX
hjic-135	22	24	achieved	achieve	VERB
hjic-135	22	25	as	as	ADP
hjic-135	22	26	characters	character	NOUN
hjic-135	22	27	.	.	PUNCT
hjic-135	23	1	to	to	PART
hjic-135	23	2	extract	extract	VERB
hjic-135	23	3	useful	useful	ADJ
hjic-135	23	4	feature	feature	NOUN
hjic-135	23	5	from	from	ADP
hjic-135	23	6	time	time	NOUN
hjic-135	23	7	series	series	NOUN
hjic-135	23	8	of	of	ADP
hjic-135	23	9	the	the	DET
hjic-135	23	10	state	state	NOUN
hjic-135	23	11	variables	variable	VERB
hjic-135	23	12	one	one	NUM
hjic-135	23	13	needs	need	VERB
hjic-135	23	14	to	to	PART
hjic-135	23	15	lower	lower	VERB
hjic-135	23	16	the	the	DET
hjic-135	23	17	size	size	NOUN
hjic-135	23	18	and	and	CCONJ
hjic-135	23	19	dimension	dimension	NOUN
hjic-135	23	20	of	of	ADP
hjic-135	23	21	the	the	DET
hjic-135	23	22	data	datum	NOUN
hjic-135	23	23	and	and	CCONJ
hjic-135	23	24	define	define	VERB
hjic-135	23	25	a	a	DET
hjic-135	23	26	distance	distance	NOUN
hjic-135	23	27	measure	measure	NOUN
hjic-135	23	28	from	from	ADP
hjic-135	23	29	a	a	DET
hjic-135	23	30	theoretically	theoretically	ADV
hjic-135	23	31	optimal	optimal	ADJ
hjic-135	23	32	solution	solution	NOUN
hjic-135	23	33	to	to	PART
hjic-135	23	34	help	help	VERB
hjic-135	23	35	operators	operator	NOUN
hjic-135	23	36	in	in	ADP
hjic-135	23	37	their	their	PRON
hjic-135	23	38	work	work	NOUN
hjic-135	23	39	(	(	PUNCT
hjic-135	23	40	i.e.	i.e.	X
hjic-135	23	41	the	the	DET
hjic-135	23	42	process	process	NOUN
hjic-135	23	43	trends	trend	NOUN
hjic-135	23	44	can	can	AUX
hjic-135	23	45	be	be	AUX
hjic-135	23	46	easily	easily	ADV
hjic-135	23	47	compared	compare	VERB
hjic-135	23	48	and	and	CCONJ
hjic-135	23	49	evaluated	evaluate	VERB
hjic-135	23	50	with	with	ADP
hjic-135	23	51	comparing	compare	VERB
hjic-135	23	52	each	each	DET
hjic-135	23	53	sequence	sequence	NOUN
hjic-135	23	54	of	of	ADP
hjic-135	23	55	primitive	primitive	ADJ
hjic-135	23	56	episodes	episode	NOUN
hjic-135	23	57	)	)	PUNCT
hjic-135	23	58	.	.	PUNCT
hjic-135	24	1	for	for	ADP
hjic-135	24	2	sequence	sequence	NOUN
hjic-135	24	3	comparement	comparement	NOUN
hjic-135	24	4	,	,	PUNCT
hjic-135	24	5	in	in	ADP
hjic-135	24	6	[	[	X
hjic-135	24	7	3	3	X
hjic-135	24	8	]	]	PUNCT
hjic-135	24	9	it	it	PRON
hjic-135	24	10	was	be	AUX
hjic-135	24	11	shown	show	VERB
hjic-135	24	12	as	as	ADP
hjic-135	24	13	an	an	DET
hjic-135	24	14	example	example	NOUN
hjic-135	24	15	that	that	SCONJ
hjic-135	24	16	dynamic	dynamic	ADJ
hjic-135	24	17	time	time	NOUN
hjic-135	24	18	warping	warp	VERB
hjic-135	24	19	(	(	PUNCT
hjic-135	24	20	dtw	dtw	PROPN
hjic-135	24	21	)	)	PUNCT
hjic-135	24	22	is	be	AUX
hjic-135	24	23	able	able	ADJ
hjic-135	24	24	to	to	PART
hjic-135	24	25	compare	compare	VERB
hjic-135	24	26	dna	dna	PROPN
hjic-135	24	27	sequences	sequence	NOUN
hjic-135	24	28	if	if	SCONJ
hjic-135	24	29	mutation	mutation	NOUN
hjic-135	24	30	weights	weight	NOUN
hjic-135	24	31	(	(	PUNCT
hjic-135	24	32	as	as	ADP
hjic-135	24	33	distances	distance	NOUN
hjic-135	24	34	)	)	PUNCT
hjic-135	24	35	exist	exist	VERB
hjic-135	24	36	.	.	PUNCT
hjic-135	25	1	going	go	VERB
hjic-135	25	2	towards	towards	ADP
hjic-135	25	3	this	this	DET
hjic-135	25	4	dynamic	dynamic	ADJ
hjic-135	25	5	alignment	alignment	NOUN
hjic-135	25	6	technique	technique	NOUN
hjic-135	25	7	,	,	PUNCT
hjic-135	25	8	we	we	PRON
hjic-135	25	9	applied	apply	VERB
hjic-135	25	10	global	global	ADJ
hjic-135	25	11	pairwise	pairwise	NOUN
hjic-135	25	12	sequence	sequence	NOUN
hjic-135	25	13	alignment	alignment	NOUN
hjic-135	25	14	,	,	PUNCT
hjic-135	25	15	a	a	DET
hjic-135	25	16	wellknown	wellknown	ADJ
hjic-135	25	17	technique	technique	NOUN
hjic-135	25	18	in	in	ADP
hjic-135	25	19	bioinformatics	bioinformatics	NOUN
hjic-135	25	20	developed	develop	VERB
hjic-135	25	21	by	by	ADP
hjic-135	25	22	[	[	X
hjic-135	25	23	4	4	NUM
hjic-135	25	24	]	]	PUNCT
hjic-135	25	25	,	,	PUNCT
hjic-135	25	26	to	to	PART
hjic-135	25	27	handle	handle	VERB
hjic-135	25	28	not	not	PART
hjic-135	25	29	only	only	ADV
hjic-135	25	30	mutation	mutation	NOUN
hjic-135	25	31	and	and	CCONJ
hjic-135	25	32	substitution	substitution	NOUN
hjic-135	25	33	but	but	CCONJ
hjic-135	25	34	injection	injection	NOUN
hjic-135	25	35	and	and	CCONJ
hjic-135	25	36	deletion	deletion	NOUN
hjic-135	25	37	operators	operator	NOUN
hjic-135	25	38	in	in	ADP
hjic-135	25	39	a	a	DET
hjic-135	25	40	sequence	sequence	NOUN
hjic-135	25	41	.	.	PUNCT
hjic-135	26	1	decision	decision	NOUN
hjic-135	26	2	trees	tree	NOUN
hjic-135	26	3	are	be	AUX
hjic-135	26	4	widely	widely	ADV
hjic-135	26	5	used	use	VERB
hjic-135	26	6	in	in	ADP
hjic-135	26	7	pattern	pattern	NOUN
hjic-135	26	8	recognition	recognition	NOUN
hjic-135	26	9	,	,	PUNCT
hjic-135	26	10	machine	machine	NOUN
hjic-135	26	11	learning	learning	NOUN
hjic-135	26	12	and	and	CCONJ
hjic-135	26	13	data	datum	NOUN
hjic-135	26	14	mining	mining	NOUN
hjic-135	26	15	applications	application	NOUN
hjic-135	26	16	thanks	thank	NOUN
hjic-135	26	17	to	to	ADP
hjic-135	26	18	the	the	DET
hjic-135	26	19	interpretable	interpretable	ADJ
hjic-135	26	20	representation	representation	NOUN
hjic-135	26	21	of	of	ADP
hjic-135	26	22	the	the	DET
hjic-135	26	23	detected	detect	VERB
hjic-135	26	24	information	information	NOUN
hjic-135	26	25	.	.	PUNCT
hjic-135	27	1	this	this	PRON
hjic-135	27	2	is	be	AUX
hjic-135	27	3	attractive	attractive	ADJ
hjic-135	27	4	for	for	ADP
hjic-135	27	5	a	a	DET
hjic-135	27	6	wide	wide	ADJ
hjic-135	27	7	range	range	NOUN
hjic-135	27	8	of	of	ADP
hjic-135	27	9	users	user	NOUN
hjic-135	27	10	who	who	PRON
hjic-135	27	11	are	be	AUX
hjic-135	27	12	interested	interested	ADJ
hjic-135	27	13	in	in	ADP
hjic-135	27	14	domain	domain	NOUN
hjic-135	27	15	understanding	understanding	NOUN
hjic-135	27	16	,	,	PUNCT
hjic-135	27	17	classification	classification	NOUN
hjic-135	27	18	capabilities	capability	NOUN
hjic-135	27	19	,	,	PUNCT
hjic-135	27	20	or	or	CCONJ
hjic-135	27	21	the	the	DET
hjic-135	27	22	symbolic	symbolic	ADJ
hjic-135	27	23	rules	rule	NOUN
hjic-135	27	24	that	that	PRON
hjic-135	27	25	may	may	AUX
hjic-135	27	26	be	be	AUX
hjic-135	27	27	extracted	extract	VERB
hjic-135	27	28	from	from	ADP
hjic-135	27	29	the	the	DET
hjic-135	27	30	tree	tree	NOUN
hjic-135	27	31	and	and	CCONJ
hjic-135	27	32	subsequently	subsequently	ADV
hjic-135	27	33	used	use	VERB
hjic-135	27	34	in	in	ADP
hjic-135	27	35	a	a	DET
hjic-135	27	36	rule	rule	NOUN
hjic-135	27	37	-	-	PUNCT
hjic-135	27	38	based	base	VERB
hjic-135	27	39	decision	decision	NOUN
hjic-135	27	40	system	system	NOUN
hjic-135	27	41	.	.	PUNCT
hjic-135	28	1	to	to	PART
hjic-135	28	2	emphasize	emphasize	VERB
hjic-135	28	3	how	how	SCONJ
hjic-135	28	4	decision	decision	NOUN
hjic-135	28	5	trees	tree	NOUN
hjic-135	28	6	can	can	AUX
hjic-135	28	7	be	be	AUX
hjic-135	28	8	applied	apply	VERB
hjic-135	28	9	to	to	PART
hjic-135	28	10	extract	extract	VERB
hjic-135	28	11	useful	useful	ADJ
hjic-135	28	12	information	information	NOUN
hjic-135	28	13	from	from	ADP
hjic-135	28	14	the	the	DET
hjic-135	28	15	sequences	sequence	NOUN
hjic-135	28	16	of	of	ADP
hjic-135	28	17	process	process	NOUN
hjic-135	28	18	trends	trend	NOUN
hjic-135	28	19	,	,	PUNCT
hjic-135	28	20	and	and	CCONJ
hjic-135	28	21	how	how	SCONJ
hjic-135	28	22	they	they	PRON
hjic-135	28	23	are	be	AUX
hjic-135	28	24	able	able	ADJ
hjic-135	28	25	to	to	PART
hjic-135	28	26	represent	represent	VERB
hjic-135	28	27	the	the	DET
hjic-135	28	28	96	96	NUM
hjic-135	28	29	operating	operating	NOUN
hjic-135	28	30	regimes	regime	NOUN
hjic-135	28	31	,	,	PUNCT
hjic-135	28	32	an	an	DET
hjic-135	28	33	industrial	industrial	ADJ
hjic-135	28	34	heterocatalytic	heterocatalytic	ADJ
hjic-135	28	35	reactor	reactor	NOUN
hjic-135	28	36	was	be	AUX
hjic-135	28	37	analyzed	analyze	VERB
hjic-135	28	38	.	.	PUNCT
hjic-135	29	1	the	the	DET
hjic-135	29	2	results	result	NOUN
hjic-135	29	3	show	show	VERB
hjic-135	29	4	that	that	SCONJ
hjic-135	29	5	the	the	DET
hjic-135	29	6	proposed	propose	VERB
hjic-135	29	7	hybrid	hybrid	ADJ
hjic-135	29	8	quantitative	quantitative	ADJ
hjic-135	29	9	qualitative	qualitative	NOUN
hjic-135	29	10	modelling	modelling	NOUN
hjic-135	29	11	approach	approach	NOUN
hjic-135	29	12	can	can	AUX
hjic-135	29	13	be	be	AUX
hjic-135	29	14	effectively	effectively	ADV
hjic-135	29	15	used	use	VERB
hjic-135	29	16	to	to	PART
hjic-135	29	17	build	build	VERB
hjic-135	29	18	a	a	DET
hjic-135	29	19	process	process	NOUN
hjic-135	29	20	monitoring	monitoring	NOUN
hjic-135	29	21	and	and	CCONJ
hjic-135	29	22	operation	operation	NOUN
hjic-135	29	23	support	support	NOUN
hjic-135	29	24	system	system	NOUN
hjic-135	29	25	for	for	ADP
hjic-135	29	26	industrial	industrial	ADJ
hjic-135	29	27	reactors	reactor	NOUN
hjic-135	29	28	.	.	PUNCT
hjic-135	30	1	the	the	DET
hjic-135	30	2	paper	paper	NOUN
hjic-135	30	3	is	be	AUX
hjic-135	30	4	organized	organize	VERB
hjic-135	30	5	as	as	SCONJ
hjic-135	30	6	follows	follow	VERB
hjic-135	30	7	:	:	PUNCT
hjic-135	30	8	in	in	ADP
hjic-135	30	9	section	section	NOUN
hjic-135	30	10	2	2	NUM
hjic-135	30	11	the	the	DET
hjic-135	30	12	method	method	NOUN
hjic-135	30	13	of	of	ADP
hjic-135	30	14	qualitative	qualitative	ADJ
hjic-135	30	15	analysis	analysis	NOUN
hjic-135	30	16	of	of	ADP
hjic-135	30	17	process	process	NOUN
hjic-135	30	18	trends	trend	NOUN
hjic-135	30	19	is	be	AUX
hjic-135	30	20	briefly	briefly	ADV
hjic-135	30	21	introduced	introduce	VERB
hjic-135	30	22	,	,	PUNCT
hjic-135	30	23	it	it	PRON
hjic-135	30	24	is	be	AUX
hjic-135	30	25	followed	follow	VERB
hjic-135	30	26	by	by	ADP
hjic-135	30	27	the	the	DET
hjic-135	30	28	introduction	introduction	NOUN
hjic-135	30	29	of	of	ADP
hjic-135	30	30	the	the	DET
hjic-135	30	31	developed	develop	VERB
hjic-135	30	32	algorithm	algorithm	NOUN
hjic-135	30	33	for	for	ADP
hjic-135	30	34	detection	detection	NOUN
hjic-135	30	35	of	of	ADP
hjic-135	30	36	operating	operate	VERB
hjic-135	30	37	regimes	regime	NOUN
hjic-135	30	38	.	.	PUNCT
hjic-135	31	1	further	further	ADJ
hjic-135	31	2	sections	section	NOUN
hjic-135	31	3	show	show	VERB
hjic-135	31	4	an	an	DET
hjic-135	31	5	application	application	NOUN
hjic-135	31	6	example	example	NOUN
hjic-135	31	7	and	and	CCONJ
hjic-135	31	8	results	result	NOUN
hjic-135	31	9	of	of	ADP
hjic-135	31	10	the	the	DET
hjic-135	31	11	analysis	analysis	NOUN
hjic-135	31	12	.	.	PUNCT
hjic-135	32	1	a	a	DET
hjic-135	32	2	novel	novel	ADJ
hjic-135	32	3	qualitative	qualitative	ADJ
hjic-135	32	4	time	time	NOUN
hjic-135	32	5	series	series	PROPN
hjic-135	32	6	analysis	analysis	NOUN
hjic-135	32	7	algorithm	algorithm	NOUN
hjic-135	32	8	for	for	ADP
hjic-135	32	9	the	the	DET
hjic-135	32	10	detection	detection	NOUN
hjic-135	32	11	of	of	ADP
hjic-135	32	12	operating	operate	VERB
hjic-135	32	13	regimes	regime	NOUN
hjic-135	32	14	qualitative	qualitative	ADJ
hjic-135	32	15	analysis	analysis	NOUN
hjic-135	32	16	of	of	ADP
hjic-135	32	17	process	process	NOUN
hjic-135	32	18	trends	trend	NOUN
hjic-135	32	19	as	as	SCONJ
hjic-135	32	20	described	describe	VERB
hjic-135	32	21	in	in	ADP
hjic-135	32	22	[	[	X
hjic-135	32	23	2	2	NUM
hjic-135	32	24	]	]	PUNCT
hjic-135	32	25	,	,	PUNCT
hjic-135	32	26	to	to	PART
hjic-135	32	27	get	get	VERB
hjic-135	32	28	from	from	ADP
hjic-135	32	29	a	a	DET
hjic-135	32	30	quantitative	quantitative	NOUN
hjic-135	32	31	to	to	ADP
hjic-135	32	32	a	a	DET
hjic-135	32	33	qualitative	qualitative	ADJ
hjic-135	32	34	representation	representation	NOUN
hjic-135	32	35	of	of	ADP
hjic-135	32	36	a	a	DET
hjic-135	32	37	real	real	ADV
hjic-135	32	38	-	-	PUNCT
hjic-135	32	39	valued	value	VERB
hjic-135	32	40	x(t	x(t	PROPN
hjic-135	32	41	)	)	PUNCT
hjic-135	32	42	function	function	NOUN
hjic-135	32	43	,	,	PUNCT
hjic-135	32	44	it	it	PRON
hjic-135	32	45	has	have	VERB
hjic-135	32	46	to	to	PART
hjic-135	32	47	be	be	AUX
hjic-135	32	48	reasonable	reasonable	ADJ
hjic-135	32	49	function	function	NOUN
hjic-135	32	50	.	.	PUNCT
hjic-135	33	1	it	it	PRON
hjic-135	33	2	is	be	AUX
hjic-135	33	3	clear	clear	ADJ
hjic-135	33	4	that	that	SCONJ
hjic-135	33	5	all	all	DET
hjic-135	33	6	the	the	DET
hjic-135	33	7	psychical	psychical	ADJ
hjic-135	33	8	variables	variable	NOUN
hjic-135	33	9	in	in	ADP
hjic-135	33	10	a	a	DET
hjic-135	33	11	plant	plant	NOUN
hjic-135	33	12	operation	operation	NOUN
hjic-135	33	13	are	be	AUX
hjic-135	33	14	reasonable	reasonable	ADJ
hjic-135	33	15	.	.	PUNCT
hjic-135	34	1	it	it	PRON
hjic-135	34	2	is	be	AUX
hjic-135	34	3	considered	consider	VERB
hjic-135	34	4	,	,	PUNCT
hjic-135	34	5	if	if	SCONJ
hjic-135	34	6	we	we	PRON
hjic-135	34	7	know	know	VERB
hjic-135	34	8	the	the	DET
hjic-135	34	9	value	value	NOUN
hjic-135	34	10	and	and	CCONJ
hjic-135	34	11	derivatives	derivative	NOUN
hjic-135	34	12	of	of	ADP
hjic-135	34	13	a	a	DET
hjic-135	34	14	reasonable	reasonable	ADJ
hjic-135	34	15	function	function	NOUN
hjic-135	34	16	,	,	PUNCT
hjic-135	34	17	the	the	DET
hjic-135	34	18	state	state	NOUN
hjic-135	34	19	of	of	ADP
hjic-135	34	20	that	that	DET
hjic-135	34	21	function	function	NOUN
hjic-135	34	22	is	be	AUX
hjic-135	34	23	completely	completely	ADV
hjic-135	34	24	known	know	VERB
hjic-135	34	25	.	.	PUNCT
hjic-135	35	1	the	the	DET
hjic-135	35	2	continuous	continuous	ADJ
hjic-135	35	3	state	state	NOUN
hjic-135	35	4	(	(	PUNCT
hjic-135	35	5	cs	cs	PROPN
hjic-135	35	6	)	)	PUNCT
hjic-135	35	7	over	over	ADP
hjic-135	35	8	a	a	DET
hjic-135	35	9	closed	closed	ADJ
hjic-135	35	10	time	time	NOUN
hjic-135	35	11	interval	interval	NOUN
hjic-135	35	12	can	can	AUX
hjic-135	35	13	be	be	AUX
hjic-135	35	14	defined	define	VERB
hjic-135	35	15	as	as	ADP
hjic-135	35	16	a	a	DET
hjic-135	35	17	point	point	NOUN
hjic-135	35	18	value	value	NOUN
hjic-135	35	19	,	,	PUNCT
hjic-135	35	20	which	which	PRON
hjic-135	35	21	is	be	AUX
hjic-135	35	22	a	a	DET
hjic-135	35	23	triplet	triplet	NOUN
hjic-135	35	24	(	(	PUNCT
hjic-135	35	25	if	if	SCONJ
hjic-135	35	26	x(t	x(t	PROPN
hjic-135	35	27	)	)	PUNCT
hjic-135	35	28	is	be	AUX
hjic-135	35	29	continuous	continuous	ADJ
hjic-135	35	30	in	in	ADP
hjic-135	35	31	t	t	PROPN
hjic-135	35	32	)	)	PUNCT
hjic-135	36	1	cs(x	cs(x	NOUN
hjic-135	36	2	,	,	PUNCT
hjic-135	36	3	t	t	PROPN
hjic-135	36	4	)	)	PUNCT
hjic-135	36	5	≡	≡	PROPN
hjic-135	36	6	point_value(x	point_value(x	NOUN
hjic-135	36	7	,	,	PUNCT
hjic-135	36	8	t	t	PROPN
hjic-135	36	9	)	)	PUNCT
hjic-135	36	10	=	=	PUNCT
hjic-135	37	1	=	=	PUNCT
hjic-135	37	2	<	<	X
hjic-135	37	3	x(t	x(t	PROPN
hjic-135	37	4	)	)	PUNCT
hjic-135	37	5	,	,	PUNCT
hjic-135	37	6	x’(t	x’(t	PROPN
hjic-135	37	7	)	)	PUNCT
hjic-135	37	8	,	,	PUNCT
hjic-135	37	9	x”(t	x”(t	PROPN
hjic-135	37	10	)	)	PUNCT
hjic-135	37	11	>	>	X
hjic-135	38	1	consequently	consequently	ADV
hjic-135	38	2	,	,	PUNCT
hjic-135	38	3	a	a	DET
hjic-135	38	4	continuous	continuous	ADJ
hjic-135	38	5	trend	trend	NOUN
hjic-135	38	6	can	can	AUX
hjic-135	38	7	be	be	AUX
hjic-135	38	8	defined	define	VERB
hjic-135	38	9	as	as	ADP
hjic-135	38	10	continuous	continuous	ADJ
hjic-135	38	11	sequence	sequence	NOUN
hjic-135	38	12	of	of	ADP
hjic-135	38	13	states	state	NOUN
hjic-135	38	14	.	.	PUNCT
hjic-135	39	1	for	for	ADP
hjic-135	39	2	discrete	discrete	ADJ
hjic-135	39	3	functions	function	NOUN
hjic-135	39	4	,	,	PUNCT
hjic-135	39	5	as	as	ADP
hjic-135	39	6	an	an	DET
hjic-135	39	7	approximation	approximation	NOUN
hjic-135	39	8	,	,	PUNCT
hjic-135	39	9	an	an	DET
hjic-135	39	10	underlying	underlie	VERB
hjic-135	39	11	continuous	continuous	ADJ
hjic-135	39	12	function	function	NOUN
hjic-135	39	13	has	have	VERB
hjic-135	39	14	to	to	PART
hjic-135	39	15	be	be	AUX
hjic-135	39	16	known	know	VERB
hjic-135	39	17	since	since	SCONJ
hjic-135	39	18	the	the	DET
hjic-135	39	19	derivatives	derivative	NOUN
hjic-135	39	20	of	of	ADP
hjic-135	39	21	single	single	ADJ
hjic-135	39	22	points	point	NOUN
hjic-135	39	23	can	can	AUX
hjic-135	39	24	not	not	PART
hjic-135	39	25	be	be	AUX
hjic-135	39	26	performed	perform	VERB
hjic-135	39	27	.	.	PUNCT
hjic-135	40	1	these	these	DET
hjic-135	40	2	definitions	definition	NOUN
hjic-135	40	3	lead	lead	VERB
hjic-135	40	4	to	to	ADP
hjic-135	40	5	a	a	DET
hjic-135	40	6	qualitative	qualitative	ADJ
hjic-135	40	7	description	description	NOUN
hjic-135	40	8	of	of	ADP
hjic-135	40	9	a	a	DET
hjic-135	40	10	state	state	NOUN
hjic-135	40	11	(	(	PUNCT
hjic-135	40	12	qs	qs	NOUN
hjic-135	40	13	)	)	PUNCT
hjic-135	40	14	and	and	CCONJ
hjic-135	40	15	trend	trend	NOUN
hjic-135	40	16	if	if	SCONJ
hjic-135	40	17	x	x	PRON
hjic-135	40	18	is	be	AUX
hjic-135	40	19	continuous	continuous	ADJ
hjic-135	40	20	at	at	ADP
hjic-135	40	21	t	t	PROPN
hjic-135	40	22	,	,	PUNCT
hjic-135	40	23	otherwise	otherwise	ADV
hjic-135	40	24	it	it	PRON
hjic-135	40	25	is	be	AUX
hjic-135	40	26	undefined	undefined	ADJ
hjic-135	40	27	.	.	PUNCT
hjic-135	41	1	qs(x	qs(x	PROPN
hjic-135	41	2	,	,	PUNCT
hjic-135	41	3	t	t	PROPN
hjic-135	41	4	)	)	PUNCT
hjic-135	41	5	=	=	PUNCT
hjic-135	42	1	<	<	X
hjic-135	42	2	[	[	X
hjic-135	42	3	x(t	x(t	PROPN
hjic-135	42	4	)	)	PUNCT
hjic-135	42	5	]	]	PUNCT
hjic-135	42	6	,	,	PUNCT
hjic-135	43	1	[	[	X
hjic-135	43	2	x’(t	x’(t	X
hjic-135	43	3	)	)	PUNCT
hjic-135	43	4	]	]	PUNCT
hjic-135	43	5	,	,	PUNCT
hjic-135	43	6	[	[	X
hjic-135	43	7	x”(t	x”(t	NUM
hjic-135	43	8	)	)	PUNCT
hjic-135	43	9	]	]	PUNCT
hjic-135	43	10	>	>	X
hjic-135	44	1	where	where	SCONJ
hjic-135	44	2	[	[	X
hjic-135	44	3	x(t	x(t	PROPN
hjic-135	44	4	)	)	PUNCT
hjic-135	44	5	]	]	PUNCT
hjic-135	44	6	,	,	PUNCT
hjic-135	44	7	[	[	X
hjic-135	44	8	x’(t	x’(t	X
hjic-135	44	9	)	)	PUNCT
hjic-135	44	10	]	]	PUNCT
hjic-135	44	11	and	and	CCONJ
hjic-135	44	12	[	[	X
hjic-135	44	13	x’’(t	x’’(t	X
hjic-135	44	14	)	)	PUNCT
hjic-135	44	15	]	]	PUNCT
hjic-135	44	16	can	can	AUX
hjic-135	44	17	be	be	AUX
hjic-135	44	18	{	{	PUNCT
hjic-135	44	19	–	–	PUNCT
hjic-135	44	20	;	;	PUNCT
hjic-135	44	21	0	0	NUM
hjic-135	44	22	;	;	PUNCT
hjic-135	44	23	+	+	X
hjic-135	44	24	}	}	PUNCT
hjic-135	44	25	,	,	PUNCT
hjic-135	44	26	depending	depend	VERB
hjic-135	44	27	if	if	SCONJ
hjic-135	44	28	they	they	PRON
hjic-135	44	29	have	have	VERB
hjic-135	44	30	negative	negative	ADJ
hjic-135	44	31	,	,	PUNCT
hjic-135	44	32	zero	zero	NUM
hjic-135	44	33	or	or	CCONJ
hjic-135	44	34	positive	positive	ADJ
hjic-135	44	35	values	value	NOUN
hjic-135	44	36	.	.	PUNCT
hjic-135	45	1	obviously	obviously	ADV
hjic-135	45	2	,	,	PUNCT
hjic-135	45	3	a	a	DET
hjic-135	45	4	qualitative	qualitative	ADJ
hjic-135	45	5	trend	trend	NOUN
hjic-135	45	6	of	of	ADP
hjic-135	45	7	a	a	DET
hjic-135	45	8	reasonable	reasonable	ADJ
hjic-135	45	9	variable	variable	NOUN
hjic-135	45	10	is	be	AUX
hjic-135	45	11	given	give	VERB
hjic-135	45	12	by	by	ADP
hjic-135	45	13	the	the	DET
hjic-135	45	14	continuous	continuous	ADJ
hjic-135	45	15	sequence	sequence	NOUN
hjic-135	45	16	of	of	ADP
hjic-135	45	17	qualitative	qualitative	ADJ
hjic-135	45	18	states	state	NOUN
hjic-135	45	19	.	.	PUNCT
hjic-135	46	1	qs(x	qs(x	X
hjic-135	46	2	;	;	PUNCT
hjic-135	46	3	t	t	X
hjic-135	46	4	)	)	PUNCT
hjic-135	46	5	is	be	AUX
hjic-135	46	6	called	call	VERB
hjic-135	46	7	an	an	DET
hjic-135	46	8	episode	episode	NOUN
hjic-135	46	9	if	if	SCONJ
hjic-135	46	10	it	it	PRON
hjic-135	46	11	is	be	AUX
hjic-135	46	12	constant	constant	ADJ
hjic-135	46	13	for	for	ADP
hjic-135	46	14	a	a	DET
hjic-135	46	15	maximal	maximal	ADJ
hjic-135	46	16	time	time	NOUN
hjic-135	46	17	interval	interval	NOUN
hjic-135	46	18	(	(	PUNCT
hjic-135	46	19	the	the	DET
hjic-135	46	20	aggregation	aggregation	NOUN
hjic-135	46	21	of	of	ADP
hjic-135	46	22	time	time	NOUN
hjic-135	46	23	intervals	interval	NOUN
hjic-135	46	24	with	with	ADP
hjic-135	46	25	same	same	ADJ
hjic-135	46	26	qs	qs	NOUN
hjic-135	46	27	)	)	PUNCT
hjic-135	46	28	,	,	PUNCT
hjic-135	46	29	and	and	CCONJ
hjic-135	46	30	the	the	DET
hjic-135	46	31	final	final	ADJ
hjic-135	46	32	definition	definition	NOUN
hjic-135	46	33	of	of	ADP
hjic-135	46	34	a	a	DET
hjic-135	46	35	trend	trend	NOUN
hjic-135	46	36	of	of	ADP
hjic-135	46	37	a	a	DET
hjic-135	46	38	reasonable	reasonable	ADJ
hjic-135	46	39	function	function	NOUN
hjic-135	46	40	is	be	AUX
hjic-135	46	41	a	a	DET
hjic-135	46	42	sequence	sequence	NOUN
hjic-135	46	43	of	of	ADP
hjic-135	46	44	these	these	DET
hjic-135	46	45	maximal	maximal	ADJ
hjic-135	46	46	episodes	episode	NOUN
hjic-135	46	47	.	.	PUNCT
hjic-135	47	1	an	an	DET
hjic-135	47	2	ordered	order	VERB
hjic-135	47	3	sequence	sequence	NOUN
hjic-135	47	4	of	of	ADP
hjic-135	47	5	triangular	triangular	NOUN
hjic-135	47	6	episodes	episode	NOUN
hjic-135	47	7	is	be	AUX
hjic-135	47	8	the	the	DET
hjic-135	47	9	geometric	geometric	ADJ
hjic-135	47	10	language	language	NOUN
hjic-135	47	11	to	to	PART
hjic-135	47	12	describe	describe	VERB
hjic-135	47	13	trends	trend	NOUN
hjic-135	47	14	.	.	PUNCT
hjic-135	48	1	it	it	PRON
hjic-135	48	2	is	be	AUX
hjic-135	48	3	composed	compose	VERB
hjic-135	48	4	of	of	ADP
hjic-135	48	5	seven	seven	NUM
hjic-135	48	6	primitive	primitive	ADJ
hjic-135	48	7	notes	note	NOUN
hjic-135	48	8	as	as	ADP
hjic-135	48	9	{	{	PUNCT
hjic-135	48	10	a	a	PROPN
hjic-135	48	11	,	,	PUNCT
hjic-135	48	12	b	b	NOUN
hjic-135	48	13	,	,	PUNCT
hjic-135	48	14	c	c	NOUN
hjic-135	48	15	,	,	PUNCT
hjic-135	48	16	d	d	NOUN
hjic-135	48	17	,	,	PUNCT
hjic-135	48	18	e	e	NOUN
hjic-135	48	19	,	,	PUNCT
hjic-135	48	20	f	f	X
hjic-135	48	21	,	,	PUNCT
hjic-135	48	22	g	g	PROPN
hjic-135	48	23	}	}	PUNCT
hjic-135	48	24	illustrated	illustrate	VERB
hjic-135	48	25	in	in	ADP
hjic-135	48	26	fig	fig	NOUN
hjic-135	48	27	.	.	PUNCT
hjic-135	49	1	1	1	X
hjic-135	49	2	.	.	X
hjic-135	49	3	sequence	sequence	NOUN
hjic-135	49	4	alignment	alignment	NOUN
hjic-135	49	5	to	to	PART
hjic-135	49	6	determine	determine	VERB
hjic-135	49	7	the	the	DET
hjic-135	49	8	similarities	similarity	NOUN
hjic-135	49	9	of	of	ADP
hjic-135	49	10	the	the	DET
hjic-135	49	11	segmented	segment	VERB
hjic-135	49	12	process	process	NOUN
hjic-135	49	13	trends	trend	NOUN
hjic-135	49	14	sequence	sequence	NOUN
hjic-135	49	15	alignment	alignment	NOUN
hjic-135	49	16	is	be	AUX
hjic-135	49	17	typical	typical	ADJ
hjic-135	49	18	expression	expression	NOUN
hjic-135	49	19	of	of	ADP
hjic-135	49	20	bioinformatics	bioinformatics	NOUN
hjic-135	49	21	,	,	PUNCT
hjic-135	49	22	where	where	SCONJ
hjic-135	49	23	amino	amino	NOUN
hjic-135	49	24	acid	acid	NOUN
hjic-135	49	25	or	or	CCONJ
hjic-135	49	26	nucleotide	nucleotide	ADJ
hjic-135	49	27	sequences	sequence	NOUN
hjic-135	49	28	have	have	VERB
hjic-135	49	29	to	to	PART
hjic-135	49	30	be	be	AUX
hjic-135	49	31	compared	compare	VERB
hjic-135	49	32	,	,	PUNCT
hjic-135	49	33	how	how	SCONJ
hjic-135	49	34	far	far	ADV
hjic-135	49	35	the	the	DET
hjic-135	49	36	evolved	evolved	ADJ
hjic-135	49	37	new	new	ADJ
hjic-135	49	38	sequences	sequence	NOUN
hjic-135	49	39	are	be	AUX
hjic-135	49	40	from	from	ADP
hjic-135	49	41	the	the	DET
hjic-135	49	42	elders	elder	NOUN
hjic-135	49	43	,	,	PUNCT
hjic-135	49	44	i.e.	i.e.	X
hjic-135	49	45	how	how	SCONJ
hjic-135	49	46	old	old	ADJ
hjic-135	49	47	they	they	PRON
hjic-135	49	48	are	be	AUX
hjic-135	49	49	,	,	PUNCT
hjic-135	49	50	and	and	CCONJ
hjic-135	49	51	how	how	SCONJ
hjic-135	49	52	many	many	ADJ
hjic-135	49	53	mutation	mutation	NOUN
hjic-135	49	54	steps	step	NOUN
hjic-135	49	55	were	be	AUX
hjic-135	49	56	needed	need	VERB
hjic-135	49	57	to	to	PART
hjic-135	49	58	result	result	VERB
hjic-135	49	59	in	in	ADP
hjic-135	49	60	the	the	DET
hjic-135	49	61	new	new	ADJ
hjic-135	49	62	sequence	sequence	NOUN
hjic-135	49	63	.	.	PUNCT
hjic-135	50	1	the	the	DET
hjic-135	50	2	algorithm	algorithm	NOUN
hjic-135	50	3	tries	try	VERB
hjic-135	50	4	to	to	PART
hjic-135	50	5	find	find	VERB
hjic-135	50	6	the	the	DET
hjic-135	50	7	least	least	ADJ
hjic-135	50	8	mutation	mutation	NOUN
hjic-135	50	9	steps	step	NOUN
hjic-135	50	10	between	between	ADP
hjic-135	50	11	the	the	DET
hjic-135	50	12	elder	elder	NOUN
hjic-135	50	13	and	and	CCONJ
hjic-135	50	14	offspring	offspring	NOUN
hjic-135	50	15	sequence	sequence	NOUN
hjic-135	50	16	applies	apply	VERB
hjic-135	50	17	,	,	PUNCT
hjic-135	50	18	that	that	PRON
hjic-135	50	19	is	be	AUX
hjic-135	50	20	called	call	VERB
hjic-135	50	21	minimal	minimal	ADJ
hjic-135	50	22	evolution	evolution	NOUN
hjic-135	50	23	.	.	PUNCT
hjic-135	51	1	in	in	ADP
hjic-135	51	2	this	this	DET
hjic-135	51	3	paper	paper	NOUN
hjic-135	51	4	the	the	DET
hjic-135	51	5	most	most	ADV
hjic-135	51	6	advanced	advanced	ADJ
hjic-135	51	7	algorithm	algorithm	NOUN
hjic-135	51	8	was	be	AUX
hjic-135	51	9	used	use	VERB
hjic-135	51	10	(	(	PUNCT
hjic-135	51	11	incorporated	incorporate	VERB
hjic-135	51	12	in	in	ADP
hjic-135	51	13	the	the	DET
hjic-135	51	14	matlab	matlab	PROPN
hjic-135	51	15	bioinformatics	bioinformatics	NOUN
hjic-135	51	16	toolbox	toolbox	NOUN
hjic-135	51	17	)	)	PUNCT
hjic-135	51	18	to	to	PART
hjic-135	51	19	determine	determine	VERB
hjic-135	51	20	the	the	DET
hjic-135	51	21	minimal	minimal	ADJ
hjic-135	51	22	sum	sum	NOUN
hjic-135	51	23	of	of	ADP
hjic-135	51	24	transformation	transformation	NOUN
hjic-135	51	25	weights	weight	NOUN
hjic-135	51	26	(	(	PUNCT
hjic-135	51	27	which	which	PRON
hjic-135	51	28	means	mean	VERB
hjic-135	51	29	the	the	DET
hjic-135	51	30	similarity	similarity	NOUN
hjic-135	51	31	of	of	ADP
hjic-135	51	32	the	the	DET
hjic-135	51	33	sequences	sequence	NOUN
hjic-135	51	34	)	)	PUNCT
hjic-135	51	35	.	.	PUNCT
hjic-135	52	1	for	for	ADP
hjic-135	52	2	this	this	DET
hjic-135	52	3	project	project	NOUN
hjic-135	52	4	therefore	therefore	ADV
hjic-135	52	5	we	we	PRON
hjic-135	52	6	extended	extend	VERB
hjic-135	52	7	the	the	DET
hjic-135	52	8	toolbox	toolbox	NOUN
hjic-135	52	9	so	so	SCONJ
hjic-135	52	10	it	it	PRON
hjic-135	52	11	is	be	AUX
hjic-135	52	12	now	now	ADV
hjic-135	52	13	not	not	PART
hjic-135	52	14	only	only	ADV
hjic-135	52	15	able	able	ADJ
hjic-135	52	16	to	to	PART
hjic-135	52	17	handle	handle	VERB
hjic-135	52	18	amino	amino	NOUN
hjic-135	52	19	acid	acid	NOUN
hjic-135	52	20	sequences	sequence	NOUN
hjic-135	52	21	,	,	PUNCT
hjic-135	52	22	but	but	CCONJ
hjic-135	52	23	the	the	DET
hjic-135	52	24	sequences	sequence	NOUN
hjic-135	52	25	of	of	ADP
hjic-135	52	26	episodes	episode	NOUN
hjic-135	52	27	of	of	ADP
hjic-135	52	28	time	time	NOUN
hjic-135	52	29	series	series	NOUN
hjic-135	52	30	.	.	PUNCT
hjic-135	53	1	for	for	ADP
hjic-135	53	2	this	this	DET
hjic-135	53	3	purpose	purpose	NOUN
hjic-135	53	4	the	the	DET
hjic-135	53	5	similarity	similarity	NOUN
hjic-135	53	6	of	of	ADP
hjic-135	53	7	the	the	DET
hjic-135	53	8	episodes	episode	NOUN
hjic-135	53	9	had	have	VERB
hjic-135	53	10	to	to	PART
hjic-135	53	11	be	be	AUX
hjic-135	53	12	defined	define	VERB
hjic-135	53	13	,	,	PUNCT
hjic-135	53	14	which	which	PRON
hjic-135	53	15	becomes	become	VERB
hjic-135	53	16	the	the	DET
hjic-135	53	17	elements	element	NOUN
hjic-135	53	18	of	of	ADP
hjic-135	53	19	the	the	DET
hjic-135	53	20	new	new	ADJ
hjic-135	53	21	transformation	transformation	NOUN
hjic-135	53	22	matrix	matrix	NOUN
hjic-135	53	23	.	.	PUNCT
hjic-135	54	1	visualization	visualization	NOUN
hjic-135	54	2	and	and	CCONJ
hjic-135	54	3	characterization	characterization	NOUN
hjic-135	54	4	of	of	ADP
hjic-135	54	5	segments	segment	NOUN
hjic-135	54	6	of	of	ADP
hjic-135	54	7	process	process	NOUN
hjic-135	54	8	trends	trend	NOUN
hjic-135	54	9	based	base	VERB
hjic-135	54	10	on	on	ADP
hjic-135	54	11	these	these	DET
hjic-135	54	12	alignment	alignment	NOUN
hjic-135	54	13	scores	score	NOUN
hjic-135	54	14	(	(	PUNCT
hjic-135	54	15	i.e.	i.e.	X
hjic-135	54	16	matching	matching	NOUN
hjic-135	54	17	scores	score	NOUN
hjic-135	54	18	)	)	PUNCT
hjic-135	54	19	,	,	PUNCT
hjic-135	54	20	one	one	NUM
hjic-135	54	21	is	be	AUX
hjic-135	54	22	able	able	ADJ
hjic-135	54	23	to	to	PART
hjic-135	54	24	compare	compare	VERB
hjic-135	54	25	and	and	CCONJ
hjic-135	54	26	classify	classify	VERB
hjic-135	54	27	process	process	NOUN
hjic-135	54	28	trends	trend	NOUN
hjic-135	54	29	to	to	PART
hjic-135	54	30	get	get	VERB
hjic-135	54	31	a	a	DET
hjic-135	54	32	qualitative	qualitative	ADJ
hjic-135	54	33	analysis	analysis	NOUN
hjic-135	54	34	.	.	PUNCT
hjic-135	55	1	the	the	DET
hjic-135	55	2	multidimensional	multidimensional	ADJ
hjic-135	55	3	scaling	scale	VERB
hjic-135	55	4	algorithm	algorithm	NOUN
hjic-135	55	5	(	(	PUNCT
hjic-135	55	6	mds	mds	PROPN
hjic-135	55	7	)	)	PUNCT
hjic-135	55	8	was	be	AUX
hjic-135	55	9	applied	apply	VERB
hjic-135	55	10	to	to	PART
hjic-135	55	11	visualize	visualize	VERB
hjic-135	55	12	the	the	DET
hjic-135	55	13	similarity	similarity	NOUN
hjic-135	55	14	of	of	ADP
hjic-135	55	15	each	each	DET
hjic-135	55	16	process	process	NOUN
hjic-135	55	17	trend	trend	NOUN
hjic-135	55	18	to	to	ADP
hjic-135	55	19	other	other	ADJ
hjic-135	55	20	so	so	SCONJ
hjic-135	55	21	the	the	DET
hjic-135	55	22	operator	operator	NOUN
hjic-135	55	23	can	can	AUX
hjic-135	55	24	easily	easily	ADV
hjic-135	55	25	check	check	VERB
hjic-135	55	26	a	a	DET
hjic-135	55	27	new	new	ADJ
hjic-135	55	28	trend	trend	NOUN
hjic-135	55	29	and	and	CCONJ
hjic-135	55	30	in	in	ADP
hjic-135	55	31	the	the	DET
hjic-135	55	32	possession	possession	NOUN
hjic-135	55	33	of	of	ADP
hjic-135	55	34	the	the	DET
hjic-135	55	35	necessary	necessary	ADJ
hjic-135	55	36	a	a	DET
hjic-135	55	37	prior	prior	ADJ
hjic-135	55	38	knowledge	knowledge	NOUN
hjic-135	55	39	the	the	DET
hjic-135	55	40	operator	operator	NOUN
hjic-135	55	41	is	be	AUX
hjic-135	55	42	able	able	ADJ
hjic-135	55	43	to	to	PART
hjic-135	55	44	improve	improve	VERB
hjic-135	55	45	the	the	DET
hjic-135	55	46	process	process	NOUN
hjic-135	55	47	performance	performance	NOUN
hjic-135	55	48	.	.	PUNCT
hjic-135	56	1	mds	mds	PROPN
hjic-135	56	2	is	be	AUX
hjic-135	56	3	a	a	DET
hjic-135	56	4	statistical	statistical	ADJ
hjic-135	56	5	technique	technique	NOUN
hjic-135	56	6	for	for	ADP
hjic-135	56	7	taking	take	VERB
hjic-135	56	8	the	the	DET
hjic-135	56	9	preferences	preference	NOUN
hjic-135	56	10	and	and	CCONJ
hjic-135	56	11	perceptions	perception	NOUN
hjic-135	56	12	of	of	ADP
hjic-135	56	13	respondents	respondent	NOUN
hjic-135	56	14	and	and	CCONJ
hjic-135	56	15	representing	represent	VERB
hjic-135	56	16	them	they	PRON
hjic-135	56	17	on	on	ADP
hjic-135	56	18	a	a	DET
hjic-135	56	19	visual	visual	ADJ
hjic-135	56	20	grid	grid	NOUN
hjic-135	56	21	,	,	PUNCT
hjic-135	56	22	called	call	VERB
hjic-135	56	23	perceptual	perceptual	ADJ
hjic-135	56	24	maps	map	NOUN
hjic-135	56	25	.	.	PUNCT
hjic-135	57	1	mds	mds	PROPN
hjic-135	57	2	is	be	AUX
hjic-135	57	3	a	a	DET
hjic-135	57	4	good	good	ADJ
hjic-135	57	5	tool	tool	NOUN
hjic-135	57	6	to	to	PART
hjic-135	57	7	"	"	PUNCT
hjic-135	57	8	rearrange	rearrange	VERB
hjic-135	57	9	"	"	PUNCT
hjic-135	57	10	objects	object	NOUN
hjic-135	57	11	(	(	PUNCT
hjic-135	57	12	in	in	ADP
hjic-135	57	13	our	our	PRON
hjic-135	57	14	case	case	NOUN
hjic-135	57	15	the	the	DET
hjic-135	57	16	process	process	NOUN
hjic-135	57	17	trends	trend	NOUN
hjic-135	57	18	)	)	PUNCT
hjic-135	57	19	in	in	ADP
hjic-135	57	20	an	an	DET
hjic-135	57	21	efficient	efficient	ADJ
hjic-135	57	22	manner	manner	NOUN
hjic-135	57	23	,	,	PUNCT
hjic-135	57	24	so	so	SCONJ
hjic-135	57	25	as	as	SCONJ
hjic-135	57	26	to	to	PART
hjic-135	57	27	arrive	arrive	VERB
hjic-135	57	28	at	at	ADP
hjic-135	57	29	a	a	DET
hjic-135	57	30	configuration	configuration	NOUN
hjic-135	57	31	that	that	PRON
hjic-135	57	32	best	good	ADJ
hjic-135	57	33	approximates	approximate	VERB
hjic-135	57	34	the	the	DET
hjic-135	57	35	observed	observed	ADJ
hjic-135	57	36	distances	distance	NOUN
hjic-135	57	37	(	(	PUNCT
hjic-135	57	38	in	in	ADP
hjic-135	57	39	our	our	PRON
hjic-135	57	40	case	case	NOUN
hjic-135	57	41	similarities	similarity	NOUN
hjic-135	57	42	of	of	ADP
hjic-135	57	43	time	time	NOUN
hjic-135	57	44	series	series	PROPN
hjic-135	57	45	)	)	PUNCT
hjic-135	57	46	.	.	PUNCT
hjic-135	58	1	it	it	PRON
hjic-135	58	2	actually	actually	ADV
hjic-135	58	3	moves	move	VERB
hjic-135	58	4	objects	object	NOUN
hjic-135	58	5	around	around	ADP
hjic-135	58	6	in	in	ADP
hjic-135	58	7	the	the	DET
hjic-135	58	8	space	space	NOUN
hjic-135	58	9	defined	define	VERB
hjic-135	58	10	by	by	ADP
hjic-135	58	11	the	the	DET
hjic-135	58	12	requested	request	VERB
hjic-135	58	13	number	number	NOUN
hjic-135	58	14	of	of	ADP
hjic-135	58	15	dimensions	dimension	NOUN
hjic-135	58	16	(	(	PUNCT
hjic-135	58	17	in	in	ADP
hjic-135	58	18	our	our	PRON
hjic-135	58	19	case	case	NOUN
hjic-135	58	20	in	in	ADP
hjic-135	58	21	three	three	NUM
hjic-135	58	22	dimension	dimension	NOUN
hjic-135	58	23	)	)	PUNCT
hjic-135	58	24	,	,	PUNCT
hjic-135	58	25	and	and	CCONJ
hjic-135	58	26	checks	check	VERB
hjic-135	58	27	how	how	SCONJ
hjic-135	58	28	well	well	ADV
hjic-135	58	29	the	the	DET
hjic-135	58	30	distances	distance	NOUN
hjic-135	58	31	between	between	ADP
hjic-135	58	32	objects	object	NOUN
hjic-135	58	33	can	can	AUX
hjic-135	58	34	be	be	AUX
hjic-135	58	35	reproduced	reproduce	VERB
hjic-135	58	36	by	by	ADP
hjic-135	58	37	the	the	DET
hjic-135	58	38	new	new	ADJ
hjic-135	58	39	configuration	configuration	NOUN
hjic-135	58	40	.	.	PUNCT
hjic-135	59	1	{	{	PUNCT
hjic-135	59	2	}	}	PUNCT
hjic-135	59	3	{	{	PUNCT
hjic-135	59	4	}	}	PUNCT
hjic-135	59	5	−=∂∂	−=∂∂	PROPN
hjic-135	60	1	+	+	NOUN
hjic-135	60	2	=	=	NOUN
hjic-135	60	3	∂	∂	X
hjic-135	60	4	x	x	NOUN
hjic-135	60	5	x	x	X
hjic-135	60	6	{	{	PUNCT
hjic-135	60	7	}	}	PUNCT
hjic-135	60	8	{	{	PUNCT
hjic-135	60	9	}	}	PUNCT
hjic-135	60	10	+	+	NOUN
hjic-135	60	11	=	=	NOUN
hjic-135	60	12	∂∂	∂∂	SYM
hjic-135	60	13	−=∂	−=∂	PROPN
hjic-135	60	14	x	x	SYM
hjic-135	60	15	x	x	X
hjic-135	60	16	{	{	PUNCT
hjic-135	60	17	}	}	PUNCT
hjic-135	60	18	{	{	PUNCT
hjic-135	60	19	}	}	PUNCT
hjic-135	60	20	−=∂∂	−=∂∂	NOUN
hjic-135	60	21	−=∂	−=∂	NOUN
hjic-135	60	22	x	x	SYM
hjic-135	60	23	x	x	X
hjic-135	60	24	{	{	PUNCT
hjic-135	60	25	}	}	PUNCT
hjic-135	60	26	{	{	PUNCT
hjic-135	60	27	}	}	PUNCT
hjic-135	60	28	+	+	NOUN
hjic-135	60	29	=	=	NOUN
hjic-135	60	30	∂∂	∂∂	X
hjic-135	60	31	+	+	NOUN
hjic-135	60	32	=	=	NOUN
hjic-135	60	33	∂	∂	NOUN
hjic-135	60	34	x	x	NOUN
hjic-135	60	35	x	x	X
hjic-135	60	36	{	{	PUNCT
hjic-135	60	37	}	}	PUNCT
hjic-135	60	38	{	{	PUNCT
hjic-135	60	39	}	}	PUNCT
hjic-135	60	40	0x	0x	NOUN
hjic-135	60	41	x	x	SYM
hjic-135	60	42	=	=	SYM
hjic-135	60	43	∂∂	∂∂	X
hjic-135	60	44	+	+	NOUN
hjic-135	60	45	=	=	NOUN
hjic-135	60	46	∂	∂	NUM
hjic-135	60	47	{	{	PUNCT
hjic-135	60	48	}	}	PUNCT
hjic-135	60	49	{	{	PUNCT
hjic-135	60	50	}	}	PUNCT
hjic-135	60	51	0x	0x	NOUN
hjic-135	60	52	x	x	SYM
hjic-135	60	53	=	=	SYM
hjic-135	60	54	∂∂	∂∂	SYM
hjic-135	60	55	−=∂	−=∂	NOUN
hjic-135	60	56	{	{	PUNCT
hjic-135	60	57	}	}	PUNCT
hjic-135	60	58	0x=∂	0x=∂	NUM
hjic-135	60	59	figure	figure	NOUN
hjic-135	60	60	1	1	NUM
hjic-135	60	61	:	:	PUNCT
hjic-135	60	62	seven	seven	NUM
hjic-135	60	63	primitive	primitive	ADJ
hjic-135	60	64	episodes	episode	NOUN
hjic-135	60	65	proposed	propose	VERB
hjic-135	60	66	by	by	ADP
hjic-135	60	67	cheung	cheung	PROPN
hjic-135	60	68	and	and	CCONJ
hjic-135	60	69	stephanopoulos	stephanopoulos	PROPN
hjic-135	60	70	97	97	NUM
hjic-135	60	71	calculating	calculate	VERB
hjic-135	60	72	temperature	temperature	NOUN
hjic-135	60	73	profiles	profile	NOUN
hjic-135	60	74	learning	learn	VERB
hjic-135	60	75	phase	phase	NOUN
hjic-135	60	76	classification	classification	NOUN
hjic-135	60	77	of	of	ADP
hjic-135	60	78	sequences	sequence	NOUN
hjic-135	60	79	generating	generate	VERB
hjic-135	60	80	inlet	inlet	NOUN
hjic-135	60	81	conditions	condition	NOUN
hjic-135	60	82	inducting	induct	VERB
hjic-135	60	83	the	the	DET
hjic-135	60	84	decision	decision	NOUN
hjic-135	60	85	tree	tree	NOUN
hjic-135	60	86	segmentation	segmentation	NOUN
hjic-135	60	87	of	of	ADP
hjic-135	60	88	temperature	temperature	NOUN
hjic-135	60	89	profiles	profile	NOUN
hjic-135	60	90	sequence	sequence	NOUN
hjic-135	60	91	alignment	alignment	NOUN
hjic-135	60	92	multidimensional	multidimensional	ADJ
hjic-135	60	93	scaling	scaling	NOUN
hjic-135	60	94	measuring	measure	VERB
hjic-135	60	95	inlet	inlet	ADJ
hjic-135	60	96	conditions	condition	NOUN
hjic-135	60	97	application	application	NOUN
hjic-135	60	98	phase	phase	NOUN
hjic-135	60	99	forecasting	forecast	VERB
hjic-135	60	100	the	the	DET
hjic-135	60	101	temperature	temperature	NOUN
hjic-135	60	102	profile	profile	NOUN
hjic-135	60	103	making	make	VERB
hjic-135	60	104	suggestion	suggestion	NOUN
hjic-135	60	105	coolant	coolant	NOUN
hjic-135	60	106	in	in	ADP
hjic-135	60	107	coolant	coolant	NOUN
hjic-135	60	108	out	out	ADP
hjic-135	60	109	reagents	reagent	NOUN
hjic-135	60	110	product	product	NOUN
hjic-135	60	111	x	x	NOUN
hjic-135	61	1	=	=	SYM
hjic-135	61	2	0	0	PUNCT
hjic-135	61	3	x	x	SYM
hjic-135	61	4	=	=	SYM
hjic-135	61	5	l	l	NOUN
hjic-135	61	6	(	(	PUNCT
hjic-135	61	7	)	)	PUNCT
hjic-135	61	8	wout	wout	PROPN
hjic-135	61	9	,	,	PUNCT
hjic-135	61	10	w	w	PROPN
hjic-135	61	11	b	b	PROPN
hjic-135	61	12	,	,	PUNCT
hjic-135	61	13	t	t	PROPN
hjic-135	61	14	(	(	PUNCT
hjic-135	61	15	)	)	PUNCT
hjic-135	61	16	win	win	NOUN
hjic-135	61	17	,	,	PUNCT
hjic-135	61	18	w	w	PROPN
hjic-135	61	19	b	b	PROPN
hjic-135	61	20	,	,	PUNCT
hjic-135	61	21	t	t	PROPN
hjic-135	61	22	(	(	PUNCT
hjic-135	61	23	)	)	PUNCT
hjic-135	61	24	out	out	ADV
hjic-135	61	25	,	,	PUNCT
hjic-135	61	26	gout	gout	NOUN
hjic-135	61	27	,	,	PUNCT
hjic-135	61	28	g	g	PROPN
hjic-135	61	29	i	i	PRON
hjic-135	61	30	out	out	ADP
hjic-135	61	31	,	,	PUNCT
hjic-135	61	32	gout	gout	NOUN
hjic-135	61	33	,	,	PUNCT
hjic-135	61	34	g	g	PROPN
hjic-135	61	35	p	p	PROPN
hjic-135	61	36	,	,	PUNCT
hjic-135	61	37	c	c	X
hjic-135	61	38	,	,	PUNCT
hjic-135	61	39	b	b	PROPN
hjic-135	61	40	,	,	PUNCT
hjic-135	61	41	t	t	PROPN
hjic-135	61	42	(	(	PUNCT
hjic-135	61	43	)	)	PUNCT
hjic-135	61	44	in	in	ADP
hjic-135	61	45	,	,	PUNCT
hjic-135	61	46	gin	gin	NOUN
hjic-135	61	47	,	,	PUNCT
hjic-135	61	48	g	g	PROPN
hjic-135	61	49	i	i	PRON
hjic-135	61	50	in	in	ADP
hjic-135	61	51	,	,	PUNCT
hjic-135	61	52	gin	gin	NOUN
hjic-135	61	53	,	,	PUNCT
hjic-135	61	54	g	g	PROPN
hjic-135	61	55	p	p	PROPN
hjic-135	61	56	,	,	PUNCT
hjic-135	61	57	c	c	X
hjic-135	61	58	,	,	PUNCT
hjic-135	61	59	b	b	PROPN
hjic-135	61	60	,	,	PUNCT
hjic-135	61	61	t	t	PROPN
hjic-135	61	62	figure	figure	NOUN
hjic-135	61	63	2	2	NUM
hjic-135	61	64	:	:	PUNCT
hjic-135	61	65	(	(	PUNCT
hjic-135	61	66	a	a	X
hjic-135	61	67	)	)	PUNCT
hjic-135	61	68	the	the	DET
hjic-135	61	69	developed	develop	VERB
hjic-135	61	70	algorithm	algorithm	NOUN
hjic-135	61	71	.	.	PUNCT
hjic-135	62	1	(	(	PUNCT
hjic-135	62	2	b	b	X
hjic-135	62	3	)	)	PUNCT
hjic-135	62	4	simplified	simplified	ADJ
hjic-135	62	5	scheme	scheme	NOUN
hjic-135	62	6	of	of	ADP
hjic-135	62	7	the	the	DET
hjic-135	62	8	studied	study	VERB
hjic-135	62	9	reactor	reactor	NOUN
hjic-135	62	10	qualitative	qualitative	NOUN
hjic-135	62	11	analysis	analysis	NOUN
hjic-135	62	12	of	of	ADP
hjic-135	62	13	operating	operate	VERB
hjic-135	62	14	regimes	regime	NOUN
hjic-135	62	15	the	the	DET
hjic-135	62	16	obtained	obtain	VERB
hjic-135	62	17	virtual	virtual	ADJ
hjic-135	62	18	space	space	NOUN
hjic-135	62	19	(	(	PUNCT
hjic-135	62	20	shown	show	VERB
hjic-135	62	21	in	in	ADP
hjic-135	62	22	fig	fig	NOUN
hjic-135	62	23	.	.	PUNCT
hjic-135	63	1	2a	2a	NUM
hjic-135	63	2	)	)	PUNCT
hjic-135	63	3	can	can	AUX
hjic-135	63	4	be	be	AUX
hjic-135	63	5	easily	easily	ADV
hjic-135	63	6	used	use	VERB
hjic-135	63	7	to	to	PART
hjic-135	63	8	reveal	reveal	VERB
hjic-135	63	9	how	how	SCONJ
hjic-135	63	10	the	the	DET
hjic-135	63	11	process	process	NOUN
hjic-135	63	12	trends	trend	NOUN
hjic-135	63	13	are	be	AUX
hjic-135	63	14	clustered	cluster	VERB
hjic-135	63	15	.	.	PUNCT
hjic-135	64	1	since	since	SCONJ
hjic-135	64	2	the	the	DET
hjic-135	64	3	aim	aim	NOUN
hjic-135	64	4	of	of	ADP
hjic-135	64	5	the	the	DET
hjic-135	64	6	proposed	propose	VERB
hjic-135	64	7	methodology	methodology	NOUN
hjic-135	64	8	is	be	AUX
hjic-135	64	9	the	the	DET
hjic-135	64	10	classification	classification	NOUN
hjic-135	64	11	of	of	ADP
hjic-135	64	12	these	these	DET
hjic-135	64	13	process	process	NOUN
hjic-135	64	14	trends	trend	NOUN
hjic-135	64	15	and	and	CCONJ
hjic-135	64	16	the	the	DET
hjic-135	64	17	characterization	characterization	NOUN
hjic-135	64	18	of	of	ADP
hjic-135	64	19	the	the	DET
hjic-135	64	20	operating	operate	VERB
hjic-135	64	21	regimes	regime	NOUN
hjic-135	64	22	of	of	ADP
hjic-135	64	23	the	the	DET
hjic-135	64	24	process	process	NOUN
hjic-135	64	25	variables	variable	NOUN
hjic-135	64	26	that	that	PRON
hjic-135	64	27	affects	affect	VERB
hjic-135	64	28	the	the	DET
hjic-135	64	29	shape	shape	NOUN
hjic-135	64	30	of	of	ADP
hjic-135	64	31	these	these	DET
hjic-135	64	32	trends	trend	NOUN
hjic-135	64	33	,	,	PUNCT
hjic-135	64	34	the	the	DET
hjic-135	64	35	application	application	NOUN
hjic-135	64	36	of	of	ADP
hjic-135	64	37	decision	decision	NOUN
hjic-135	64	38	trees	tree	NOUN
hjic-135	64	39	seems	seem	VERB
hjic-135	64	40	to	to	PART
hjic-135	64	41	be	be	AUX
hjic-135	64	42	a	a	DET
hjic-135	64	43	straightforward	straightforward	ADJ
hjic-135	64	44	solution	solution	NOUN
hjic-135	64	45	.	.	PUNCT
hjic-135	65	1	binary	binary	ADJ
hjic-135	65	2	decision	decision	NOUN
hjic-135	65	3	trees	tree	NOUN
hjic-135	65	4	consist	consist	VERB
hjic-135	65	5	of	of	ADP
hjic-135	65	6	two	two	NUM
hjic-135	65	7	types	type	NOUN
hjic-135	65	8	of	of	ADP
hjic-135	65	9	nodes	node	NOUN
hjic-135	65	10	:	:	PUNCT
hjic-135	65	11	(	(	PUNCT
hjic-135	65	12	i	i	NOUN
hjic-135	65	13	)	)	PUNCT
hjic-135	65	14	internal	internal	ADJ
hjic-135	65	15	nodes	node	NOUN
hjic-135	65	16	having	have	VERB
hjic-135	65	17	two	two	NUM
hjic-135	65	18	children	child	NOUN
hjic-135	65	19	,	,	PUNCT
hjic-135	65	20	and	and	CCONJ
hjic-135	65	21	(	(	PUNCT
hjic-135	65	22	ii	ii	NOUN
hjic-135	65	23	)	)	PUNCT
hjic-135	65	24	terminal	terminal	ADJ
hjic-135	65	25	nodes	node	NOUN
hjic-135	65	26	without	without	ADP
hjic-135	65	27	children	child	NOUN
hjic-135	65	28	.	.	PUNCT
hjic-135	66	1	each	each	DET
hjic-135	66	2	internal	internal	ADJ
hjic-135	66	3	node	node	NOUN
hjic-135	66	4	is	be	AUX
hjic-135	66	5	associated	associate	VERB
hjic-135	66	6	with	with	ADP
hjic-135	66	7	a	a	DET
hjic-135	66	8	decision	decision	NOUN
hjic-135	66	9	function	function	NOUN
hjic-135	66	10	to	to	PART
hjic-135	66	11	indicate	indicate	VERB
hjic-135	66	12	which	which	DET
hjic-135	66	13	node	node	NOUN
hjic-135	66	14	to	to	PART
hjic-135	66	15	visit	visit	VERB
hjic-135	66	16	next	next	ADV
hjic-135	66	17	(	(	PUNCT
hjic-135	66	18	e.g.	e.g.	ADV
hjic-135	66	19	if	if	SCONJ
hjic-135	66	20	the	the	DET
hjic-135	66	21	temperature	temperature	NOUN
hjic-135	66	22	is	be	AUX
hjic-135	66	23	smaller	small	ADJ
hjic-135	66	24	than	than	ADP
hjic-135	66	25	235	235	NUM
hjic-135	66	26	°	°	NUM
hjic-135	66	27	visit	visit	NOUN
hjic-135	66	28	node	node	NOUN
hjic-135	66	29	25	25	NUM
hjic-135	66	30	,	,	PUNCT
hjic-135	66	31	otherwise	otherwise	ADV
hjic-135	66	32	visit	visit	VERB
hjic-135	66	33	node	node	PROPN
hjic-135	66	34	26	26	NUM
hjic-135	66	35	)	)	PUNCT
hjic-135	66	36	.	.	PUNCT
hjic-135	67	1	each	each	DET
hjic-135	67	2	terminal	terminal	ADJ
hjic-135	67	3	node	node	NOUN
hjic-135	67	4	represents	represent	VERB
hjic-135	67	5	the	the	DET
hjic-135	67	6	output	output	NOUN
hjic-135	67	7	of	of	ADP
hjic-135	67	8	a	a	DET
hjic-135	67	9	given	give	VERB
hjic-135	67	10	input	input	NOUN
hjic-135	67	11	that	that	PRON
hjic-135	67	12	leads	lead	VERB
hjic-135	67	13	to	to	ADP
hjic-135	67	14	this	this	DET
hjic-135	67	15	node	node	NOUN
hjic-135	67	16	,	,	PUNCT
hjic-135	67	17	i.e.	i.e.	X
hjic-135	67	18	in	in	ADP
hjic-135	67	19	classification	classification	NOUN
hjic-135	67	20	problems	problem	NOUN
hjic-135	67	21	each	each	DET
hjic-135	67	22	terminal	terminal	ADJ
hjic-135	67	23	node	node	NOUN
hjic-135	67	24	contains	contain	VERB
hjic-135	67	25	the	the	DET
hjic-135	67	26	label	label	NOUN
hjic-135	67	27	of	of	ADP
hjic-135	67	28	the	the	DET
hjic-135	67	29	predicted	predict	VERB
hjic-135	67	30	class	class	NOUN
hjic-135	67	31	(	(	PUNCT
hjic-135	67	32	e.g.	e.g.	ADV
hjic-135	67	33	the	the	DET
hjic-135	67	34	25th	25th	ADJ
hjic-135	67	35	terminal	terminal	ADJ
hjic-135	67	36	node	node	NOUN
hjic-135	67	37	represents	represent	VERB
hjic-135	67	38	reactor	reactor	NOUN
hjic-135	67	39	runaway	runaway	NOUN
hjic-135	67	40	)	)	PUNCT
hjic-135	67	41	.	.	PUNCT
hjic-135	68	1	the	the	DET
hjic-135	68	2	algorithm	algorithm	NOUN
hjic-135	68	3	has	have	VERB
hjic-135	68	4	the	the	DET
hjic-135	68	5	following	following	ADJ
hjic-135	68	6	basic	basic	ADJ
hjic-135	68	7	steps	step	NOUN
hjic-135	68	8	(	(	PUNCT
hjic-135	68	9	as	as	SCONJ
hjic-135	68	10	shown	show	VERB
hjic-135	68	11	on	on	ADP
hjic-135	68	12	fig	fig	NOUN
hjic-135	68	13	.	.	PUNCT
hjic-135	69	1	2a	2a	NUM
hjic-135	69	2	):	):	PUNCT
hjic-135	70	1	●	●	NUM
hjic-135	70	2	randomly	randomly	ADV
hjic-135	70	3	generating	generate	VERB
hjic-135	70	4	inlet	inlet	NOUN
hjic-135	70	5	conditions	condition	NOUN
hjic-135	70	6	and	and	CCONJ
hjic-135	70	7	calculating	calculate	VERB
hjic-135	70	8	the	the	DET
hjic-135	70	9	temperature	temperature	NOUN
hjic-135	70	10	profiles	profile	NOUN
hjic-135	70	11	;	;	PUNCT
hjic-135	70	12	●	●	NUM
hjic-135	70	13	time	time	NOUN
hjic-135	70	14	series	series	PROPN
hjic-135	70	15	segmentation	segmentation	NOUN
hjic-135	70	16	into	into	ADP
hjic-135	70	17	a	a	DET
hjic-135	70	18	sequence	sequence	NOUN
hjic-135	70	19	of	of	ADP
hjic-135	70	20	triangular	triangular	NOUN
hjic-135	70	21	episode	episode	NOUN
hjic-135	70	22	primitives	primitive	NOUN
hjic-135	70	23	;	;	PUNCT
hjic-135	70	24	●	●	PUNCT
hjic-135	70	25	alignment	alignment	NOUN
hjic-135	70	26	of	of	ADP
hjic-135	70	27	two	two	NUM
hjic-135	70	28	episode	episode	NOUN
hjic-135	70	29	chains	chain	NOUN
hjic-135	70	30	and	and	CCONJ
hjic-135	70	31	determining	determine	VERB
hjic-135	70	32	the	the	DET
hjic-135	70	33	distance	distance	NOUN
hjic-135	70	34	of	of	ADP
hjic-135	70	35	sequences	sequence	NOUN
hjic-135	70	36	in	in	ADP
hjic-135	70	37	a	a	DET
hjic-135	70	38	three	three	NUM
hjic-135	70	39	dimensional	dimensional	ADJ
hjic-135	70	40	virtual	virtual	ADJ
hjic-135	70	41	space	space	NOUN
hjic-135	70	42	;	;	PUNCT
hjic-135	70	43	●	●	PUNCT
hjic-135	70	44	classifying	classify	VERB
hjic-135	70	45	the	the	DET
hjic-135	70	46	time	time	NOUN
hjic-135	70	47	series	series	NOUN
hjic-135	70	48	by	by	ADP
hjic-135	70	49	a	a	DET
hjic-135	70	50	decision	decision	NOUN
hjic-135	70	51	tree	tree	NOUN
hjic-135	70	52	and	and	CCONJ
hjic-135	70	53	based	base	VERB
hjic-135	70	54	on	on	ADP
hjic-135	70	55	inlet	inlet	ADJ
hjic-135	70	56	conditions	condition	NOUN
hjic-135	70	57	and	and	CCONJ
hjic-135	70	58	the	the	DET
hjic-135	70	59	corresponding	corresponding	ADJ
hjic-135	70	60	class	class	NOUN
hjic-135	70	61	of	of	ADP
hjic-135	70	62	sequence	sequence	NOUN
hjic-135	70	63	another	another	DET
hjic-135	70	64	decision	decision	NOUN
hjic-135	70	65	tree	tree	NOUN
hjic-135	70	66	is	be	AUX
hjic-135	70	67	inducted	induct	VERB
hjic-135	70	68	.	.	PUNCT
hjic-135	71	1	0.1	0.1	NUM
hjic-135	71	2	0.2	0.2	NUM
hjic-135	71	3	0.3	0.3	NUM
hjic-135	71	4	0.4	0.4	NUM
hjic-135	71	5	0.5	0.5	NUM
hjic-135	71	6	0.6	0.6	NUM
hjic-135	71	7	0.7	0.7	NUM
hjic-135	71	8	300	300	NUM
hjic-135	71	9	350	350	NUM
hjic-135	71	10	400	400	NUM
hjic-135	71	11	450	450	NUM
hjic-135	71	12	500	500	NUM
hjic-135	71	13	550	550	NUM
hjic-135	71	14	600	600	NUM
hjic-135	71	15	650	650	NUM
hjic-135	71	16	reactor	reactor	NOUN
hjic-135	71	17	length	length	NOUN
hjic-135	72	1	[	[	X
hjic-135	72	2	m	m	X
hjic-135	72	3	]	]	X
hjic-135	72	4	te	te	ADP
hjic-135	72	5	m	m	PROPN
hjic-135	72	6	pe	pe	INTJ
hjic-135	72	7	ra	ra	PROPN
hjic-135	72	8	tu	tu	X
hjic-135	72	9	re	re	X
hjic-135	73	1	[	[	X
hjic-135	73	2	k	k	X
hjic-135	73	3	]	]	X
hjic-135	73	4	0	0	NUM
hjic-135	73	5	0.1	0.1	NUM
hjic-135	73	6	0.2	0.2	NUM
hjic-135	73	7	0.3	0.3	NUM
hjic-135	73	8	0.4	0.4	NUM
hjic-135	73	9	0.5	0.5	NUM
hjic-135	73	10	0.6	0.6	NUM
hjic-135	73	11	0.7	0.7	NUM
hjic-135	73	12	0.8	0.8	NUM
hjic-135	73	13	320	320	NUM
hjic-135	73	14	340	340	NUM
hjic-135	74	1	360	360	NUM
hjic-135	74	2	380	380	NUM
hjic-135	74	3	400	400	NUM
hjic-135	74	4	420	420	NUM
hjic-135	74	5	de	de	ADP
hjic-135	74	6	a	a	DET
hjic-135	74	7	c	c	NOUN
hjic-135	74	8	b	b	PROPN
hjic-135	74	9	reactor	reactor	NOUN
hjic-135	74	10	length	length	NOUN
hjic-135	75	1	[	[	X
hjic-135	75	2	m	m	X
hjic-135	75	3	]	]	X
hjic-135	75	4	te	te	ADP
hjic-135	75	5	m	m	PROPN
hjic-135	75	6	pe	pe	INTJ
hjic-135	75	7	ra	ra	PROPN
hjic-135	75	8	tu	tu	X
hjic-135	75	9	re	re	X
hjic-135	75	10	[	[	X
hjic-135	75	11	k	k	X
hjic-135	75	12	]	]	X
hjic-135	75	13	figure	figure	NOUN
hjic-135	75	14	3	3	NUM
hjic-135	75	15	:	:	PUNCT
hjic-135	75	16	(	(	PUNCT
hjic-135	75	17	a	a	X
hjic-135	75	18	)	)	PUNCT
hjic-135	75	19	calculated	calculate	VERB
hjic-135	75	20	temperature	temperature	NOUN
hjic-135	75	21	profiles	profile	NOUN
hjic-135	75	22	at	at	ADP
hjic-135	75	23	some	some	DET
hjic-135	75	24	inlet	inlet	ADJ
hjic-135	75	25	conditions	condition	NOUN
hjic-135	75	26	.	.	PUNCT
hjic-135	76	1	(	(	PUNCT
hjic-135	76	2	b	b	X
hjic-135	76	3	)	)	PUNCT
hjic-135	76	4	example	example	NOUN
hjic-135	76	5	for	for	ADP
hjic-135	76	6	a	a	DET
hjic-135	76	7	segmented	segment	VERB
hjic-135	76	8	process	process	NOUN
hjic-135	76	9	trend	trend	NOUN
hjic-135	76	10	.	.	PUNCT
hjic-135	77	1	the	the	DET
hjic-135	77	2	alphabetic	alphabetic	ADJ
hjic-135	77	3	codes	code	NOUN
hjic-135	77	4	of	of	ADP
hjic-135	77	5	the	the	DET
hjic-135	77	6	episodes	episode	NOUN
hjic-135	77	7	are	be	AUX
hjic-135	77	8	also	also	ADV
hjic-135	77	9	shown	show	VERB
hjic-135	77	10	.	.	PUNCT
hjic-135	78	1	98	98	NUM
hjic-135	78	2	-0.4	-0.4	NUM
hjic-135	78	3	-0.2	-0.2	NOUN
hjic-135	78	4	0	0	NUM
hjic-135	78	5	0.2	0.2	NUM
hjic-135	78	6	0.4	0.4	NUM
hjic-135	78	7	-0.4	-0.4	NUM
hjic-135	78	8	-0.2	-0.2	PROPN
hjic-135	78	9	0	0	NUM
hjic-135	78	10	0.2	0.2	NUM
hjic-135	78	11	0.4	0.4	NUM
hjic-135	78	12	-0.2	-0.2	NUM
hjic-135	78	13	-0.1	-0.1	PROPN
hjic-135	78	14	0	0	NUM
hjic-135	78	15	0.1	0.1	NUM
hjic-135	78	16	0.2	0.2	NUM
hjic-135	78	17	33	33	NUM
hjic-135	78	18	agcfbfgagcfbfg	agcfbfgagcfbfg	PROPN
hjic-135	78	19	11	11	NUM
hjic-135	78	20	daedeacbfgdaedeacbfg	daedeacbfgdaedeacbfg	NOUN
hjic-135	78	21	11	11	NUM
hjic-135	78	22	77eagcfbfgeagcfbfg	77eagcfbfgeagcfbfg	NUM
hjic-135	78	23	3232	3232	NUM
hjic-135	78	24	1515	1515	NUM
hjic-135	78	25	dagcfbfgdagcfbfg	dagcfbfgdagcfbfg	NOUN
hjic-135	78	26	dacbfgdacbfg	dacbfgdacbfg	NOUN
hjic-135	78	27	deagcfgdeagcfg	deagcfgdeagcfg	VERB
hjic-135	78	28	11	11	NUM
hjic-135	78	29	55	55	NUM
hjic-135	78	30	11	11	NUM
hjic-135	78	31	dedacbfgdedacbfg	dedacbfgdedacbfg	NOUN
hjic-135	78	32	dacfbfgdacfbfg	dacfbfgdacfbfg	NOUN
hjic-135	78	33	daedacbfgdaedacbfg	daedacbfgdaedacbfg	PROPN
hjic-135	78	34	1515	1515	NUM
hjic-135	78	35	deagcfbfgdeagcfbfg	deagcfbfgdeagcfbfg	NOUN
hjic-135	78	36	44	44	NUM
hjic-135	78	37	55	55	NUM
hjic-135	78	38	11	11	NUM
hjic-135	78	39	deacfbfgdeacfbfg	deacfbfgdeacfbfg	NOUN
hjic-135	78	40	deaedacbfgdeaedacbfg	deaedacbfgdeaedacbfg	PROPN
hjic-135	78	41	deacbfgdeacbfg	deacbfgdeacbfg	PROPN
hjic-135	78	42	99	99	NUM
hjic-135	78	43	z	z	NOUN
hjic-135	78	44	3	3	NUM
hjic-135	78	45	cfbfgcfbfg	cfbfgcfbfg	PROPN
hjic-135	78	46	z1	z1	PROPN
hjic-135	78	47	z2	z2	PROPN
hjic-135	78	48	tw	tw	PROPN
hjic-135	78	49	,	,	PUNCT
hjic-135	78	50	in	in	ADP
hjic-135	78	51	<	<	X
hjic-135	78	52	=	=	X
hjic-135	78	53	289.154	289.154	NUM
hjic-135	78	54	:	:	PUNCT
hjic-135	78	55	|	|	ADV
hjic-135	78	56	pg	pg	VERB
hjic-135	78	57	,	,	PUNCT
hjic-135	78	58	in	in	ADP
hjic-135	78	59	<	<	X
hjic-135	78	60	=	=	X
hjic-135	78	61	1.69487	1.69487	NUM
hjic-135	78	62	:	:	PUNCT
hjic-135	78	63	4	4	NUM
hjic-135	78	64	|	|	ADV
hjic-135	78	65	pg	pg	VERB
hjic-135	78	66	,	,	PUNCT
hjic-135	78	67	in	in	ADP
hjic-135	78	68	>	>	X
hjic-135	78	69	1.69487	1.69487	NUM
hjic-135	78	70	:	:	PUNCT
hjic-135	78	71	3	3	NUM
hjic-135	78	72	tw	tw	NOUN
hjic-135	78	73	,	,	PUNCT
hjic-135	78	74	in	in	ADP
hjic-135	78	75	>	>	X
hjic-135	78	76	289.154	289.154	NUM
hjic-135	78	77	:	:	PUNCT
hjic-135	78	78	|	|	ADV
hjic-135	78	79	tw	tw	INTJ
hjic-135	78	80	,	,	PUNCT
hjic-135	78	81	in	in	ADP
hjic-135	78	82	<	<	X
hjic-135	78	83	=	=	X
hjic-135	78	84	295.308	295.308	NUM
hjic-135	78	85	:	:	PUNCT
hjic-135	78	86	|	|	ADV
hjic-135	78	87	|	|	ADV
hjic-135	78	88	pg	pg	VERB
hjic-135	78	89	,	,	PUNCT
hjic-135	78	90	in	in	ADP
hjic-135	78	91	<	<	X
hjic-135	78	92	=	=	X
hjic-135	78	93	1.69487	1.69487	NUM
hjic-135	78	94	:	:	PUNCT
hjic-135	78	95	2	2	NUM
hjic-135	79	1	|	|	ADV
hjic-135	79	2	|	|	ADV
hjic-135	79	3	pg	pg	VERB
hjic-135	79	4	,	,	PUNCT
hjic-135	79	5	in	in	ADP
hjic-135	79	6	>	>	X
hjic-135	79	7	1.69487	1.69487	NUM
hjic-135	79	8	:	:	PUNCT
hjic-135	79	9	1	1	NUM
hjic-135	79	10	|	|	ADV
hjic-135	79	11	tw	tw	INTJ
hjic-135	79	12	,	,	PUNCT
hjic-135	79	13	in	in	ADP
hjic-135	79	14	>	>	X
hjic-135	79	15	295.308	295.308	NUM
hjic-135	79	16	:	:	PUNCT
hjic-135	80	1	|	|	ADV
hjic-135	80	2	|	|	ADV
hjic-135	80	3	nb	nb	INTJ
hjic-135	80	4	,	,	PUNCT
hjic-135	80	5	in	in	ADP
hjic-135	80	6	<	<	X
hjic-135	80	7	=	=	X
hjic-135	80	8	573.077	573.077	NUM
hjic-135	80	9	:	:	PUNCT
hjic-135	80	10	4	4	NUM
hjic-135	80	11	|	|	ADV
hjic-135	81	1	|	|	ADV
hjic-135	81	2	nb	nb	INTJ
hjic-135	81	3	,	,	PUNCT
hjic-135	81	4	in	in	ADP
hjic-135	81	5	>	>	X
hjic-135	81	6	573.077	573.077	NUM
hjic-135	81	7	:	:	PUNCT
hjic-135	81	8	1	1	NUM
hjic-135	81	9	tw	tw	NOUN
hjic-135	81	10	,	,	PUNCT
hjic-135	81	11	in	in	ADP
hjic-135	81	12	–	–	PUNCT
hjic-135	81	13	inlet	inlet	VERB
hjic-135	81	14	temperature	temperature	NOUN
hjic-135	81	15	of	of	ADP
hjic-135	81	16	cooling	cool	VERB
hjic-135	81	17	media	medium	NOUN
hjic-135	81	18	[	[	X
hjic-135	81	19	k	k	X
hjic-135	81	20	]	]	X
hjic-135	81	21	pg	pg	VERB
hjic-135	81	22	,	,	PUNCT
hjic-135	81	23	in	in	ADV
hjic-135	81	24	–	–	PUNCT
hjic-135	81	25	inlet	inlet	VERB
hjic-135	81	26	pressure	pressure	NOUN
hjic-135	81	27	of	of	ADP
hjic-135	81	28	reactor	reactor	NOUN
hjic-135	81	29	[	[	X
hjic-135	81	30	bar	bar	NOUN
hjic-135	81	31	]	]	PUNCT
hjic-135	81	32	nb	nb	INTJ
hjic-135	81	33	,	,	PUNCT
hjic-135	81	34	in	in	ADV
hjic-135	81	35	–	–	PUNCT
hjic-135	81	36	inlet	inlet	VERB
hjic-135	81	37	mass	mass	ADJ
hjic-135	81	38	flow	flow	NOUN
hjic-135	81	39	rate	rate	NOUN
hjic-135	81	40	of	of	ADP
hjic-135	81	41	component	component	NOUN
hjic-135	81	42	b	b	PROPN
hjic-135	82	1	[	[	X
hjic-135	82	2	mol	mol	ADP
hjic-135	82	3	/	/	SYM
hjic-135	82	4	s	s	NOUN
hjic-135	82	5	]	]	X
hjic-135	82	6	figure	figure	NOUN
hjic-135	82	7	4	4	NUM
hjic-135	82	8	:	:	PUNCT
hjic-135	82	9	(	(	PUNCT
hjic-135	82	10	a	a	X
hjic-135	82	11	)	)	PUNCT
hjic-135	82	12	sequences	sequence	NOUN
hjic-135	82	13	mapped	map	VERB
hjic-135	82	14	into	into	ADP
hjic-135	82	15	a	a	DET
hjic-135	82	16	three	three	NUM
hjic-135	82	17	dimensional	dimensional	ADJ
hjic-135	82	18	“	"	PUNCT
hjic-135	82	19	virtual	virtual	ADJ
hjic-135	82	20	”	"	PUNCT
hjic-135	82	21	space	space	NOUN
hjic-135	82	22	based	base	VERB
hjic-135	82	23	on	on	ADP
hjic-135	82	24	their	their	PRON
hjic-135	82	25	similarity	similarity	NOUN
hjic-135	82	26	.	.	PUNCT
hjic-135	83	1	(	(	PUNCT
hjic-135	83	2	b	b	X
hjic-135	83	3	)	)	PUNCT
hjic-135	83	4	the	the	DET
hjic-135	83	5	extracted	extract	VERB
hjic-135	83	6	decision	decision	NOUN
hjic-135	83	7	tree	tree	NOUN
hjic-135	83	8	that	that	PRON
hjic-135	83	9	represents	represent	VERB
hjic-135	83	10	the	the	DET
hjic-135	83	11	operating	operate	VERB
hjic-135	83	12	regimes	regime	NOUN
hjic-135	83	13	and	and	CCONJ
hjic-135	83	14	able	able	ADJ
hjic-135	83	15	to	to	PART
hjic-135	83	16	estimate	estimate	VERB
hjic-135	83	17	the	the	DET
hjic-135	83	18	class	class	NOUN
hjic-135	83	19	(	(	PUNCT
hjic-135	83	20	1	1	NUM
hjic-135	83	21	-	-	SYM
hjic-135	83	22	4	4	NUM
hjic-135	83	23	)	)	PUNCT
hjic-135	83	24	of	of	ADP
hjic-135	83	25	the	the	DET
hjic-135	83	26	temperature	temperature	NOUN
hjic-135	83	27	profiles	profile	NOUN
hjic-135	83	28	(	(	PUNCT
hjic-135	83	29	shown	show	VERB
hjic-135	83	30	in	in	ADP
hjic-135	83	31	fig	fig	NOUN
hjic-135	83	32	.	.	PUNCT
hjic-135	84	1	5	5	NUM
hjic-135	84	2	)	)	PUNCT
hjic-135	84	3	.	.	PUNCT
hjic-135	85	1	0	0	NUM
hjic-135	85	2	0.5	0.5	NUM
hjic-135	85	3	1	1	NUM
hjic-135	85	4	1.5	1.5	NUM
hjic-135	85	5	2	2	NUM
hjic-135	85	6	2.5	2.5	NUM
hjic-135	85	7	3	3	NUM
hjic-135	85	8	3.5	3.5	NUM
hjic-135	85	9	4	4	NUM
hjic-135	85	10	300	300	NUM
hjic-135	85	11	350	350	NUM
hjic-135	85	12	400	400	NUM
hjic-135	85	13	450	450	NUM
hjic-135	85	14	500	500	NUM
hjic-135	85	15	550	550	NUM
hjic-135	85	16	600	600	NUM
hjic-135	85	17	650	650	NUM
hjic-135	85	18	700	700	NUM
hjic-135	85	19	reactor	reactor	NOUN
hjic-135	85	20	length	length	NOUN
hjic-135	86	1	[	[	X
hjic-135	86	2	m	m	X
hjic-135	86	3	]	]	X
hjic-135	86	4	te	te	ADP
hjic-135	86	5	m	m	PROPN
hjic-135	86	6	pe	pe	INTJ
hjic-135	86	7	ra	ra	PROPN
hjic-135	86	8	tu	tu	X
hjic-135	86	9	re	re	X
hjic-135	87	1	[	[	X
hjic-135	87	2	k	k	X
hjic-135	87	3	]	]	X
hjic-135	87	4	0	0	NUM
hjic-135	88	1	0.5	0.5	NUM
hjic-135	88	2	1	1	NUM
hjic-135	88	3	1.5	1.5	NUM
hjic-135	88	4	2	2	NUM
hjic-135	88	5	2.5	2.5	NUM
hjic-135	88	6	3	3	NUM
hjic-135	88	7	3.5	3.5	NUM
hjic-135	88	8	4	4	NUM
hjic-135	88	9	280	280	NUM
hjic-135	88	10	300	300	NUM
hjic-135	88	11	320	320	NUM
hjic-135	88	12	340	340	NUM
hjic-135	88	13	360	360	NUM
hjic-135	88	14	380	380	NUM
hjic-135	88	15	400	400	NUM
hjic-135	88	16	420	420	NUM
hjic-135	88	17	reactor	reactor	NOUN
hjic-135	88	18	length	length	NOUN
hjic-135	89	1	[	[	X
hjic-135	89	2	m	m	X
hjic-135	89	3	]	]	X
hjic-135	89	4	te	te	ADP
hjic-135	89	5	m	m	PROPN
hjic-135	89	6	pe	pe	INTJ
hjic-135	89	7	ra	ra	PROPN
hjic-135	89	8	tu	tu	X
hjic-135	89	9	re	re	X
hjic-135	89	10	[	[	X
hjic-135	89	11	k	k	X
hjic-135	89	12	]	]	X
hjic-135	89	13	0	0	NUM
hjic-135	89	14	0.5	0.5	NUM
hjic-135	89	15	1	1	NUM
hjic-135	89	16	1.5	1.5	NUM
hjic-135	89	17	2	2	NUM
hjic-135	89	18	2.5	2.5	NUM
hjic-135	89	19	3	3	NUM
hjic-135	89	20	3.5	3.5	NUM
hjic-135	89	21	4	4	NUM
hjic-135	89	22	280	280	NUM
hjic-135	89	23	290	290	NUM
hjic-135	89	24	300	300	NUM
hjic-135	89	25	310	310	NUM
hjic-135	89	26	320	320	NUM
hjic-135	89	27	330	330	NUM
hjic-135	89	28	340	340	NUM
hjic-135	89	29	reactor	reactor	NOUN
hjic-135	89	30	length	length	NOUN
hjic-135	90	1	[	[	X
hjic-135	90	2	m	m	X
hjic-135	90	3	]	]	X
hjic-135	90	4	te	te	ADP
hjic-135	90	5	m	m	PROPN
hjic-135	90	6	pe	pe	INTJ
hjic-135	90	7	ra	ra	PROPN
hjic-135	90	8	tu	tu	X
hjic-135	90	9	re	re	X
hjic-135	90	10	[	[	X
hjic-135	90	11	k	k	X
hjic-135	90	12	]	]	X
hjic-135	90	13	0	0	NUM
hjic-135	90	14	0.5	0.5	NUM
hjic-135	90	15	1	1	NUM
hjic-135	90	16	1.5	1.5	NUM
hjic-135	90	17	2	2	NUM
hjic-135	90	18	2.5	2.5	NUM
hjic-135	90	19	3	3	NUM
hjic-135	90	20	3.5	3.5	NUM
hjic-135	90	21	4	4	NUM
hjic-135	90	22	280	280	NUM
hjic-135	90	23	300	300	NUM
hjic-135	90	24	320	320	NUM
hjic-135	90	25	340	340	NUM
hjic-135	90	26	360	360	NUM
hjic-135	90	27	380	380	NUM
hjic-135	90	28	reactor	reactor	NOUN
hjic-135	90	29	length	length	NOUN
hjic-135	91	1	[	[	X
hjic-135	91	2	m	m	X
hjic-135	91	3	]	]	X
hjic-135	91	4	te	te	ADP
hjic-135	91	5	m	m	PROPN
hjic-135	91	6	pe	pe	INTJ
hjic-135	91	7	ra	ra	PROPN
hjic-135	91	8	tu	tu	X
hjic-135	91	9	re	re	X
hjic-135	91	10	[	[	X
hjic-135	91	11	k	k	X
hjic-135	91	12	]	]	X
hjic-135	91	13	dacbfg	dacbfg	PROPN
hjic-135	91	14	daedacbfg	daedacbfg	PROPN
hjic-135	91	15	daedeacbfg	daedeacbfg	PROPN
hjic-135	91	16	deaedacbfg	deaedacbfg	PROPN
hjic-135	91	17	dedacbfg	dedacbfg	PROPN
hjic-135	91	18	deacbfg	deacbfg	PROPN
hjic-135	92	1	deacfbfg	deacfbfg	PROPN
hjic-135	92	2	deagcfbfg	deagcfbfg	PROPN
hjic-135	92	3	deagcfg	deagcfg	PROPN
hjic-135	92	4	eagcfbfg	eagcfbfg	PROPN
hjic-135	92	5	agcfbfg	agcfbfg	PROPN
hjic-135	92	6	cfbfg	cfbfg	PROPN
hjic-135	92	7	dacfbfg	dacfbfg	PROPN
hjic-135	92	8	dagcfbfg	dagcfbfg	PROPN
hjic-135	92	9	figure	figure	VERB
hjic-135	92	10	5	5	NUM
hjic-135	92	11	:	:	PUNCT
hjic-135	92	12	classified	classified	ADJ
hjic-135	92	13	temperature	temperature	NOUN
hjic-135	92	14	profiles	profile	NOUN
hjic-135	92	15	.	.	PUNCT
hjic-135	93	1	four	four	NUM
hjic-135	93	2	classes	class	NOUN
hjic-135	93	3	of	of	ADP
hjic-135	93	4	the	the	DET
hjic-135	93	5	temperature	temperature	NOUN
hjic-135	93	6	profiles	profile	NOUN
hjic-135	93	7	were	be	AUX
hjic-135	93	8	detected	detect	VERB
hjic-135	93	9	and	and	CCONJ
hjic-135	93	10	the	the	DET
hjic-135	93	11	decision	decision	NOUN
hjic-135	93	12	tree	tree	NOUN
hjic-135	93	13	is	be	AUX
hjic-135	93	14	able	able	ADJ
hjic-135	93	15	to	to	PART
hjic-135	93	16	assign	assign	VERB
hjic-135	93	17	the	the	DET
hjic-135	93	18	classes	class	NOUN
hjic-135	93	19	based	base	VERB
hjic-135	93	20	on	on	ADP
hjic-135	93	21	the	the	DET
hjic-135	93	22	inlet	inlet	ADJ
hjic-135	93	23	conditions	condition	NOUN
hjic-135	93	24	of	of	ADP
hjic-135	93	25	the	the	DET
hjic-135	93	26	reactor	reactor	NOUN
hjic-135	93	27	.	.	PUNCT
hjic-135	94	1	application	application	NOUN
hjic-135	94	2	to	to	ADP
hjic-135	94	3	an	an	DET
hjic-135	94	4	industrial	industrial	ADJ
hjic-135	94	5	fixed	fix	VERB
hjic-135	94	6	bed	bed	NOUN
hjic-135	94	7	tube	tube	NOUN
hjic-135	94	8	reactor	reactor	NOUN
hjic-135	94	9	process	process	NOUN
hjic-135	94	10	description	description	NOUN
hjic-135	94	11	to	to	PART
hjic-135	94	12	emphasize	emphasize	VERB
hjic-135	94	13	how	how	SCONJ
hjic-135	94	14	decision	decision	NOUN
hjic-135	94	15	trees	tree	NOUN
hjic-135	94	16	can	can	AUX
hjic-135	94	17	be	be	AUX
hjic-135	94	18	applied	apply	VERB
hjic-135	94	19	to	to	PART
hjic-135	94	20	extract	extract	VERB
hjic-135	94	21	the	the	DET
hjic-135	94	22	relevant	relevant	ADJ
hjic-135	94	23	information	information	NOUN
hjic-135	94	24	from	from	ADP
hjic-135	94	25	process	process	NOUN
hjic-135	94	26	trends	trend	NOUN
hjic-135	94	27	and	and	CCONJ
hjic-135	94	28	how	how	SCONJ
hjic-135	94	29	the	the	DET
hjic-135	94	30	rules	rule	NOUN
hjic-135	94	31	characterize	characterize	VERB
hjic-135	94	32	the	the	DET
hjic-135	94	33	operating	operating	NOUN
hjic-135	94	34	regimes	regime	NOUN
hjic-135	94	35	a	a	DET
hjic-135	94	36	detailed	detailed	ADJ
hjic-135	94	37	case	case	NOUN
hjic-135	94	38	study	study	NOUN
hjic-135	94	39	has	have	AUX
hjic-135	94	40	been	be	AUX
hjic-135	94	41	worked	work	VERB
hjic-135	94	42	out	out	ADP
hjic-135	94	43	based	base	VERB
hjic-135	94	44	on	on	ADP
hjic-135	94	45	a	a	DET
hjic-135	94	46	sophisticated	sophisticated	ADJ
hjic-135	94	47	model	model	NOUN
hjic-135	94	48	of	of	ADP
hjic-135	94	49	an	an	DET
hjic-135	94	50	industrial	industrial	ADJ
hjic-135	94	51	catalytic	catalytic	ADJ
hjic-135	94	52	fixed	fix	VERB
hjic-135	94	53	bed	bed	NOUN
hjic-135	94	54	tube	tube	NOUN
hjic-135	94	55	reactor	reactor	NOUN
hjic-135	94	56	.	.	PUNCT
hjic-135	95	1	the	the	DET
hjic-135	95	2	studied	study	VERB
hjic-135	95	3	vertically	vertically	ADV
hjic-135	95	4	build	build	VERB
hjic-135	95	5	up	up	ADP
hjic-135	95	6	reactor	reactor	NOUN
hjic-135	95	7	contains	contain	VERB
hjic-135	95	8	a	a	DET
hjic-135	95	9	great	great	ADJ
hjic-135	95	10	number	number	NOUN
hjic-135	95	11	of	of	ADP
hjic-135	95	12	tubes	tube	NOUN
hjic-135	95	13	with	with	ADP
hjic-135	95	14	catalyst	catalyst	NOUN
hjic-135	95	15	(	(	PUNCT
hjic-135	95	16	as	as	SCONJ
hjic-135	95	17	shown	show	VERB
hjic-135	95	18	on	on	ADP
hjic-135	95	19	fig	fig	NOUN
hjic-135	95	20	2b	2b	NOUN
hjic-135	95	21	)	)	PUNCT
hjic-135	95	22	.	.	PUNCT
hjic-135	96	1	highly	highly	ADV
hjic-135	96	2	exothermic	exothermic	ADJ
hjic-135	96	3	reaction	reaction	NOUN
hjic-135	96	4	occurs	occur	VERB
hjic-135	96	5	as	as	SCONJ
hjic-135	96	6	the	the	DET
hjic-135	96	7	reactants	reactant	NOUN
hjic-135	96	8	rising	rise	VERB
hjic-135	96	9	up	up	ADP
hjic-135	96	10	the	the	DET
hjic-135	96	11	tube	tube	NOUN
hjic-135	96	12	pass	pass	VERB
hjic-135	96	13	the	the	DET
hjic-135	96	14	fixed	fix	VERB
hjic-135	96	15	bed	bed	NOUN
hjic-135	96	16	of	of	ADP
hjic-135	96	17	catalyst	catalyst	NOUN
hjic-135	96	18	particles	particle	NOUN
hjic-135	96	19	and	and	CCONJ
hjic-135	96	20	the	the	DET
hjic-135	96	21	heat	heat	NOUN
hjic-135	96	22	generated	generate	VERB
hjic-135	96	23	by	by	ADP
hjic-135	96	24	the	the	DET
hjic-135	96	25	reaction	reaction	NOUN
hjic-135	96	26	escapes	escape	VERB
hjic-135	96	27	through	through	ADP
hjic-135	96	28	the	the	DET
hjic-135	96	29	tube	tube	NOUN
hjic-135	96	30	walls	wall	NOUN
hjic-135	96	31	into	into	ADP
hjic-135	96	32	the	the	DET
hjic-135	96	33	cooling	cool	VERB
hjic-135	96	34	water	water	NOUN
hjic-135	96	35	.	.	PUNCT
hjic-135	97	1	due	due	ADP
hjic-135	97	2	to	to	ADP
hjic-135	97	3	the	the	DET
hjic-135	97	4	highly	highly	ADV
hjic-135	97	5	exothermic	exothermic	ADJ
hjic-135	97	6	reaction	reaction	NOUN
hjic-135	97	7	which	which	PRON
hjic-135	97	8	takes	take	VERB
hjic-135	97	9	place	place	NOUN
hjic-135	97	10	in	in	ADP
hjic-135	97	11	the	the	DET
hjic-135	97	12	catalyst	catalyst	NOUN
hjic-135	97	13	bed	bed	NOUN
hjic-135	97	14	makes	make	VERB
hjic-135	97	15	the	the	DET
hjic-135	97	16	reactor	reactor	NOUN
hjic-135	97	17	very	very	ADV
hjic-135	97	18	sensitive	sensitive	ADJ
hjic-135	97	19	for	for	ADP
hjic-135	97	20	the	the	DET
hjic-135	97	21	development	development	NOUN
hjic-135	97	22	of	of	ADP
hjic-135	97	23	reactor	reactor	NOUN
hjic-135	97	24	runaway	runaway	NOUN
hjic-135	97	25	.	.	PUNCT
hjic-135	98	1	reactor	reactor	NOUN
hjic-135	98	2	runaway	runaway	NOUN
hjic-135	98	3	means	mean	VERB
hjic-135	98	4	a	a	DET
hjic-135	98	5	sudden	sudden	ADJ
hjic-135	98	6	and	and	CCONJ
hjic-135	98	7	considerable	considerable	ADJ
hjic-135	98	8	change	change	NOUN
hjic-135	98	9	in	in	ADP
hjic-135	98	10	the	the	DET
hjic-135	98	11	process	process	NOUN
hjic-135	98	12	variables	variable	NOUN
hjic-135	98	13	.	.	PUNCT
hjic-135	99	1	the	the	DET
hjic-135	99	2	development	development	NOUN
hjic-135	99	3	of	of	ADP
hjic-135	99	4	runaway	runaway	NOUN
hjic-135	99	5	is	be	AUX
hjic-135	99	6	in	in	ADP
hjic-135	99	7	very	very	ADV
hjic-135	99	8	close	close	ADJ
hjic-135	99	9	relationship	relationship	NOUN
hjic-135	99	10	with	with	ADP
hjic-135	99	11	the	the	DET
hjic-135	99	12	stability	stability	NOUN
hjic-135	99	13	of	of	ADP
hjic-135	99	14	reactor	reactor	NOUN
hjic-135	99	15	/	/	SYM
hjic-135	99	16	model	model	NOUN
hjic-135	99	17	.	.	PUNCT
hjic-135	100	1	runaway	runaway	ADJ
hjic-135	100	2	99	99	NUM
hjic-135	100	3	has	have	VERB
hjic-135	100	4	two	two	NUM
hjic-135	100	5	main	main	ADJ
hjic-135	100	6	important	important	ADJ
hjic-135	100	7	aspects	aspect	NOUN
hjic-135	100	8	.	.	PUNCT
hjic-135	101	1	in	in	ADP
hjic-135	101	2	one	one	NUM
hjic-135	101	3	hand	hand	NOUN
hjic-135	101	4	runaway	runaway	ADJ
hjic-135	101	5	forecast	forecast	NOUN
hjic-135	101	6	has	have	VERB
hjic-135	101	7	a	a	DET
hjic-135	101	8	safety	safety	NOUN
hjic-135	101	9	aspect	aspect	NOUN
hjic-135	101	10	,	,	PUNCT
hjic-135	101	11	since	since	SCONJ
hjic-135	101	12	it	it	PRON
hjic-135	101	13	is	be	AUX
hjic-135	101	14	important	important	ADJ
hjic-135	101	15	for	for	ADP
hjic-135	101	16	avoiding	avoid	VERB
hjic-135	101	17	the	the	DET
hjic-135	101	18	damage	damage	NOUN
hjic-135	101	19	the	the	DET
hjic-135	101	20	constructional	constructional	ADJ
hjic-135	101	21	material	material	NOUN
hjic-135	101	22	or	or	CCONJ
hjic-135	101	23	in	in	ADP
hjic-135	101	24	the	the	DET
hjic-135	101	25	worst	bad	ADJ
hjic-135	101	26	case	case	NOUN
hjic-135	101	27	scenario	scenario	VERB
hjic-135	101	28	the	the	DET
hjic-135	101	29	explosion	explosion	NOUN
hjic-135	101	30	of	of	ADP
hjic-135	101	31	reactor	reactor	NOUN
hjic-135	101	32	;	;	PUNCT
hjic-135	101	33	on	on	ADP
hjic-135	101	34	the	the	DET
hjic-135	101	35	other	other	ADJ
hjic-135	101	36	hand	hand	NOUN
hjic-135	101	37	it	it	PRON
hjic-135	101	38	has	have	VERB
hjic-135	101	39	a	a	DET
hjic-135	101	40	technology	technology	NOUN
hjic-135	101	41	aspect	aspect	NOUN
hjic-135	101	42	,	,	PUNCT
hjic-135	101	43	since	since	SCONJ
hjic-135	101	44	the	the	DET
hjic-135	101	45	forecast	forecast	NOUN
hjic-135	101	46	of	of	ADP
hjic-135	101	47	the	the	DET
hjic-135	101	48	runaway	runaway	NOUN
hjic-135	101	49	can	can	AUX
hjic-135	101	50	be	be	AUX
hjic-135	101	51	used	use	VERB
hjic-135	101	52	for	for	ADP
hjic-135	101	53	avoiding	avoid	VERB
hjic-135	101	54	the	the	DET
hjic-135	101	55	development	development	NOUN
hjic-135	101	56	of	of	ADP
hjic-135	101	57	hot	hot	ADJ
hjic-135	101	58	spots	spot	NOUN
hjic-135	101	59	in	in	ADP
hjic-135	101	60	catalytic	catalytic	ADJ
hjic-135	101	61	bed	bed	NOUN
hjic-135	101	62	.	.	PUNCT
hjic-135	102	1	the	the	DET
hjic-135	102	2	selection	selection	NOUN
hjic-135	102	3	of	of	ADP
hjic-135	102	4	operation	operation	NOUN
hjic-135	102	5	conditions	condition	NOUN
hjic-135	102	6	is	be	AUX
hjic-135	102	7	important	important	ADJ
hjic-135	102	8	to	to	PART
hjic-135	102	9	avoid	avoid	VERB
hjic-135	102	10	the	the	DET
hjic-135	102	11	development	development	NOUN
hjic-135	102	12	of	of	ADP
hjic-135	102	13	reactor	reactor	NOUN
hjic-135	102	14	runaway	runaway	NOUN
hjic-135	102	15	and	and	CCONJ
hjic-135	102	16	to	to	PART
hjic-135	102	17	increase	increase	VERB
hjic-135	102	18	the	the	DET
hjic-135	102	19	lifetime	lifetime	NOUN
hjic-135	102	20	of	of	ADP
hjic-135	102	21	catalyst	catalyst	NOUN
hjic-135	102	22	at	at	ADP
hjic-135	102	23	same	same	ADJ
hjic-135	102	24	time	time	NOUN
hjic-135	102	25	.	.	PUNCT
hjic-135	103	1	the	the	DET
hjic-135	103	2	worked	work	VERB
hjic-135	103	3	out	out	ADP
hjic-135	103	4	mathematical	mathematical	ADJ
hjic-135	103	5	model	model	NOUN
hjic-135	103	6	has	have	AUX
hjic-135	103	7	been	be	AUX
hjic-135	103	8	presented	present	VERB
hjic-135	103	9	in	in	ADP
hjic-135	103	10	the	the	DET
hjic-135	103	11	previous	previous	ADJ
hjic-135	103	12	escape	escape	NOUN
hjic-135	103	13	conference	conference	NOUN
hjic-135	103	14	by	by	ADP
hjic-135	103	15	the	the	DET
hjic-135	103	16	authors	author	NOUN
hjic-135	103	17	[	[	X
hjic-135	103	18	5	5	NUM
hjic-135	103	19	]	]	PUNCT
hjic-135	103	20	.	.	PUNCT
hjic-135	104	1	the	the	DET
hjic-135	104	2	model	model	NOUN
hjic-135	104	3	has	have	AUX
hjic-135	104	4	been	be	AUX
hjic-135	104	5	implemented	implement	VERB
hjic-135	104	6	in	in	ADP
hjic-135	104	7	matlab	matlab	PROPN
hjic-135	104	8	and	and	CCONJ
hjic-135	104	9	solved	solve	VERB
hjic-135	104	10	with	with	ADP
hjic-135	104	11	a	a	DET
hjic-135	104	12	low	low	ADJ
hjic-135	104	13	order	order	NOUN
hjic-135	104	14	runge	runge	NOUN
hjic-135	104	15	-	-	PUNCT
hjic-135	104	16	kutta	kutta	NOUN
hjic-135	104	17	method	method	NOUN
hjic-135	104	18	.	.	PUNCT
hjic-135	105	1	the	the	DET
hjic-135	105	2	obtained	obtain	VERB
hjic-135	105	3	simulator	simulator	NOUN
hjic-135	105	4	was	be	AUX
hjic-135	105	5	applied	apply	VERB
hjic-135	105	6	to	to	PART
hjic-135	105	7	calculate	calculate	VERB
hjic-135	105	8	profiles	profile	NOUN
hjic-135	105	9	in	in	ADP
hjic-135	105	10	case	case	NOUN
hjic-135	105	11	of	of	ADP
hjic-135	105	12	randomly	randomly	ADV
hjic-135	105	13	generated	generate	VERB
hjic-135	105	14	inlet	inlet	ADJ
hjic-135	105	15	conditions	condition	NOUN
hjic-135	105	16	.	.	PUNCT
hjic-135	106	1	results	result	NOUN
hjic-135	106	2	and	and	CCONJ
hjic-135	106	3	discussion	discussion	NOUN
hjic-135	106	4	example	example	NOUN
hjic-135	106	5	for	for	ADP
hjic-135	106	6	learning	learn	VERB
hjic-135	106	7	samples	sample	NOUN
hjic-135	106	8	are	be	AUX
hjic-135	106	9	plotted	plot	VERB
hjic-135	106	10	on	on	ADP
hjic-135	106	11	fig	fig	NOUN
hjic-135	106	12	.	.	PUNCT
hjic-135	107	1	3a	3a	NUM
hjic-135	107	2	where	where	SCONJ
hjic-135	107	3	the	the	DET
hjic-135	107	4	vertical	vertical	ADJ
hjic-135	107	5	lines	line	NOUN
hjic-135	107	6	present	present	ADJ
hjic-135	107	7	where	where	SCONJ
hjic-135	107	8	runaway	runaway	NOUN
hjic-135	107	9	occurs	occur	VERB
hjic-135	107	10	.	.	PUNCT
hjic-135	108	1	such	such	ADJ
hjic-135	108	2	process	process	NOUN
hjic-135	108	3	trends	trend	NOUN
hjic-135	108	4	can	can	AUX
hjic-135	108	5	be	be	AUX
hjic-135	108	6	easily	easily	ADV
hjic-135	108	7	segmented	segment	VERB
hjic-135	108	8	as	as	SCONJ
hjic-135	108	9	it	it	PRON
hjic-135	108	10	is	be	AUX
hjic-135	108	11	shown	show	VERB
hjic-135	108	12	in	in	ADP
hjic-135	108	13	fig	fig	NOUN
hjic-135	108	14	.	.	PUNCT
hjic-135	109	1	3b	3b	NUM
hjic-135	109	2	.	.	PUNCT
hjic-135	110	1	it	it	PRON
hjic-135	110	2	is	be	AUX
hjic-135	110	3	interesting	interesting	ADJ
hjic-135	110	4	to	to	PART
hjic-135	110	5	note	note	VERB
hjic-135	110	6	that	that	SCONJ
hjic-135	110	7	the	the	DET
hjic-135	110	8	algorithm	algorithm	NOUN
hjic-135	110	9	detected	detect	VERB
hjic-135	110	10	that	that	SCONJ
hjic-135	110	11	in	in	ADP
hjic-135	110	12	this	this	DET
hjic-135	110	13	case	case	NOUN
hjic-135	110	14	there	there	PRON
hjic-135	110	15	was	be	VERB
hjic-135	110	16	no	no	DET
hjic-135	110	17	runaway	runaway	NOUN
hjic-135	110	18	,	,	PUNCT
hjic-135	110	19	since	since	SCONJ
hjic-135	110	20	it	it	PRON
hjic-135	110	21	has	have	AUX
hjic-135	110	22	inserted	insert	VERB
hjic-135	110	23	an	an	DET
hjic-135	110	24	e	e	NOUN
hjic-135	110	25	type	type	NOUN
hjic-135	110	26	episode	episode	NOUN
hjic-135	110	27	between	between	ADP
hjic-135	110	28	the	the	DET
hjic-135	110	29	d	d	PROPN
hjic-135	110	30	and	and	CCONJ
hjic-135	110	31	a	a	DET
hjic-135	110	32	episodes	episode	NOUN
hjic-135	110	33	,	,	PUNCT
hjic-135	110	34	otherwise	otherwise	ADV
hjic-135	110	35	d	d	X
hjic-135	110	36	-	-	PUNCT
hjic-135	110	37	a	a	DET
hjic-135	110	38	episodes	episode	NOUN
hjic-135	110	39	would	would	AUX
hjic-135	110	40	mean	mean	VERB
hjic-135	110	41	the	the	DET
hjic-135	110	42	change	change	NOUN
hjic-135	110	43	of	of	ADP
hjic-135	110	44	the	the	DET
hjic-135	110	45	sign	sign	NOUN
hjic-135	110	46	of	of	ADP
hjic-135	110	47	the	the	DET
hjic-135	110	48	second	second	ADJ
hjic-135	110	49	derivative	derivative	NOUN
hjic-135	110	50	of	of	ADP
hjic-135	110	51	the	the	DET
hjic-135	110	52	profile	profile	NOUN
hjic-135	110	53	that	that	PRON
hjic-135	110	54	would	would	AUX
hjic-135	110	55	indicate	indicate	VERB
hjic-135	110	56	runaway	runaway	ADJ
hjic-135	110	57	according	accord	VERB
hjic-135	110	58	to	to	ADP
hjic-135	110	59	the	the	DET
hjic-135	110	60	classical	classical	ADJ
hjic-135	110	61	inflection	inflection	NOUN
hjic-135	110	62	point	point	NOUN
hjic-135	110	63	based	base	VERB
hjic-135	110	64	runaway	runaway	ADJ
hjic-135	110	65	detection	detection	NOUN
hjic-135	110	66	method	method	NOUN
hjic-135	110	67	.	.	PUNCT
hjic-135	111	1	100	100	NUM
hjic-135	111	2	process	process	NOUN
hjic-135	111	3	trends	trend	NOUN
hjic-135	111	4	were	be	AUX
hjic-135	111	5	analyzed	analyze	VERB
hjic-135	111	6	.	.	PUNCT
hjic-135	112	1	the	the	DET
hjic-135	112	2	similarities	similarity	NOUN
hjic-135	112	3	of	of	ADP
hjic-135	112	4	the	the	DET
hjic-135	112	5	sequences	sequence	NOUN
hjic-135	112	6	of	of	ADP
hjic-135	112	7	the	the	DET
hjic-135	112	8	episodes	episode	NOUN
hjic-135	112	9	generated	generate	VERB
hjic-135	112	10	from	from	ADP
hjic-135	112	11	these	these	DET
hjic-135	112	12	trends	trend	NOUN
hjic-135	112	13	were	be	AUX
hjic-135	112	14	determined	determine	VERB
hjic-135	112	15	by	by	ADP
hjic-135	112	16	the	the	DET
hjic-135	112	17	previously	previously	ADV
hjic-135	112	18	presented	present	VERB
hjic-135	112	19	sequence	sequence	NOUN
hjic-135	112	20	alignment	alignment	NOUN
hjic-135	112	21	.	.	PUNCT
hjic-135	113	1	these	these	DET
hjic-135	113	2	similarities	similarity	NOUN
hjic-135	113	3	were	be	AUX
hjic-135	113	4	used	use	VERB
hjic-135	113	5	to	to	PART
hjic-135	113	6	map	map	VERB
hjic-135	113	7	the	the	DET
hjic-135	113	8	sequences	sequence	NOUN
hjic-135	113	9	into	into	ADP
hjic-135	113	10	a	a	DET
hjic-135	113	11	three	three	NUM
hjic-135	113	12	dimensional	dimensional	ADJ
hjic-135	113	13	space	space	NOUN
hjic-135	113	14	to	to	PART
hjic-135	113	15	evolve	evolve	VERB
hjic-135	113	16	the	the	DET
hjic-135	113	17	hidden	hide	VERB
hjic-135	113	18	structure	structure	NOUN
hjic-135	113	19	of	of	ADP
hjic-135	113	20	the	the	DET
hjic-135	113	21	trends	trend	NOUN
hjic-135	113	22	.	.	PUNCT
hjic-135	114	1	a	a	DET
hjic-135	114	2	decision	decision	NOUN
hjic-135	114	3	tree	tree	NOUN
hjic-135	114	4	was	be	AUX
hjic-135	114	5	inducted	induct	VERB
hjic-135	114	6	to	to	PART
hjic-135	114	7	characterize	characterize	VERB
hjic-135	114	8	the	the	DET
hjic-135	114	9	trends	trend	NOUN
hjic-135	114	10	.	.	PUNCT
hjic-135	115	1	four	four	NUM
hjic-135	115	2	classes	class	NOUN
hjic-135	115	3	were	be	AUX
hjic-135	115	4	detected	detect	VERB
hjic-135	115	5	.	.	PUNCT
hjic-135	116	1	the	the	DET
hjic-135	116	2	tree	tree	NOUN
hjic-135	116	3	generated	generate	VERB
hjic-135	116	4	based	base	VERB
hjic-135	116	5	on	on	ADP
hjic-135	116	6	these	these	DET
hjic-135	116	7	new	new	ADJ
hjic-135	116	8	class	class	NOUN
hjic-135	116	9	labels	label	NOUN
hjic-135	116	10	can	can	AUX
hjic-135	116	11	be	be	AUX
hjic-135	116	12	seen	see	VERB
hjic-135	116	13	on	on	ADP
hjic-135	116	14	fig	fig	NOUN
hjic-135	116	15	4b	4b	PROPN
hjic-135	116	16	.	.	PUNCT
hjic-135	117	1	on	on	ADP
hjic-135	117	2	this	this	DET
hjic-135	117	3	figure	figure	NOUN
hjic-135	117	4	the	the	DET
hjic-135	117	5	branches	branch	NOUN
hjic-135	117	6	of	of	ADP
hjic-135	117	7	the	the	DET
hjic-135	117	8	tree	tree	NOUN
hjic-135	117	9	leading	lead	VERB
hjic-135	117	10	from	from	ADP
hjic-135	117	11	the	the	DET
hjic-135	117	12	root	root	NOUN
hjic-135	117	13	to	to	ADP
hjic-135	117	14	the	the	DET
hjic-135	117	15	leaves	leave	NOUN
hjic-135	117	16	should	should	AUX
hjic-135	117	17	be	be	AUX
hjic-135	117	18	followed	follow	VERB
hjic-135	117	19	from	from	ADP
hjic-135	117	20	left	leave	VERB
hjic-135	117	21	to	to	ADP
hjic-135	117	22	right	right	NOUN
hjic-135	117	23	.	.	PUNCT
hjic-135	118	1	in	in	ADP
hjic-135	118	2	a	a	DET
hjic-135	118	3	decision	decision	NOUN
hjic-135	118	4	tree	tree	NOUN
hjic-135	118	5	the	the	DET
hjic-135	118	6	leaves	leave	NOUN
hjic-135	118	7	contain	contain	VERB
hjic-135	118	8	the	the	DET
hjic-135	118	9	label	label	NOUN
hjic-135	118	10	of	of	ADP
hjic-135	118	11	the	the	DET
hjic-135	118	12	class	class	NOUN
hjic-135	118	13	of	of	ADP
hjic-135	118	14	the	the	DET
hjic-135	118	15	typical	typical	ADJ
hjic-135	118	16	temperature	temperature	NOUN
hjic-135	118	17	profiles	profile	NOUN
hjic-135	118	18	.	.	PUNCT
hjic-135	119	1	runaway	runaway	NOUN
hjic-135	119	2	occurs	occur	VERB
hjic-135	119	3	in	in	ADP
hjic-135	119	4	case	case	NOUN
hjic-135	119	5	of	of	ADP
hjic-135	119	6	the	the	DET
hjic-135	119	7	first	first	ADJ
hjic-135	119	8	class	class	NOUN
hjic-135	119	9	as	as	SCONJ
hjic-135	119	10	shown	show	VERB
hjic-135	119	11	of	of	ADP
hjic-135	119	12	fig	fig	NOUN
hjic-135	119	13	5	5	NUM
hjic-135	119	14	.	.	PUNCT
hjic-135	119	15	based	base	VERB
hjic-135	119	16	on	on	ADP
hjic-135	119	17	this	this	DET
hjic-135	119	18	tree	tree	NOUN
hjic-135	119	19	the	the	DET
hjic-135	119	20	instability	instability	NOUN
hjic-135	119	21	regime	regime	NOUN
hjic-135	119	22	can	can	AUX
hjic-135	119	23	be	be	AUX
hjic-135	119	24	determined	determine	VERB
hjic-135	119	25	(	(	PUNCT
hjic-135	119	26	pg	pg	INTJ
hjic-135	119	27	,	,	PUNCT
hjic-135	119	28	in	in	ADP
hjic-135	119	29	>	>	X
hjic-135	119	30	1.69	1.69	NUM
hjic-135	119	31	bar	bar	NOUN
hjic-135	119	32	and	and	CCONJ
hjic-135	119	33	tw	tw	NOUN
hjic-135	119	34	,	,	PUNCT
hjic-135	119	35	in	in	ADP
hjic-135	119	36	>	>	X
hjic-135	119	37	289	289	NUM
hjic-135	119	38	k	k	NOUN
hjic-135	119	39	)	)	PUNCT
hjic-135	119	40	.	.	PUNCT
hjic-135	120	1	the	the	DET
hjic-135	120	2	secondary	secondary	ADJ
hjic-135	120	3	reduction	reduction	NOUN
hjic-135	120	4	is	be	AUX
hjic-135	120	5	directed	direct	VERB
hjic-135	120	6	to	to	ADP
hjic-135	120	7	the	the	DET
hjic-135	120	8	implicit	implicit	ADJ
hjic-135	120	9	part	part	NOUN
hjic-135	120	10	of	of	ADP
hjic-135	120	11	the	the	DET
hjic-135	120	12	model	model	NOUN
hjic-135	120	13	,	,	PUNCT
hjic-135	120	14	only	only	ADV
hjic-135	120	15	.	.	PUNCT
hjic-135	121	1	conclusions	conclusion	NOUN
hjic-135	121	2	this	this	DET
hjic-135	121	3	work	work	NOUN
hjic-135	121	4	demonstrated	demonstrate	VERB
hjic-135	121	5	how	how	SCONJ
hjic-135	121	6	advanced	advanced	ADJ
hjic-135	121	7	data	data	NOUN
hjic-135	121	8	mining	mining	NOUN
hjic-135	121	9	techniques	technique	NOUN
hjic-135	121	10	such	such	ADJ
hjic-135	121	11	as	as	ADP
hjic-135	121	12	time	time	NOUN
hjic-135	121	13	series	series	PROPN
hjic-135	121	14	segmentation	segmentation	PROPN
hjic-135	121	15	,	,	PUNCT
hjic-135	121	16	sequence	sequence	NOUN
hjic-135	121	17	alignment	alignment	NOUN
hjic-135	121	18	,	,	PUNCT
hjic-135	121	19	and	and	CCONJ
hjic-135	121	20	decision	decision	NOUN
hjic-135	121	21	tree	tree	NOUN
hjic-135	121	22	induction	induction	NOUN
hjic-135	121	23	can	can	AUX
hjic-135	121	24	be	be	AUX
hjic-135	121	25	used	use	VERB
hjic-135	121	26	to	to	PART
hjic-135	121	27	determine	determine	VERB
hjic-135	121	28	the	the	DET
hjic-135	121	29	operating	operate	VERB
hjic-135	121	30	regimes	regime	NOUN
hjic-135	121	31	in	in	ADP
hjic-135	121	32	a	a	DET
hjic-135	121	33	heterocatalytic	heterocatalytic	ADJ
hjic-135	121	34	reactor	reactor	NOUN
hjic-135	121	35	.	.	PUNCT
hjic-135	122	1	the	the	DET
hjic-135	122	2	results	result	NOUN
hjic-135	122	3	show	show	VERB
hjic-135	122	4	that	that	SCONJ
hjic-135	122	5	the	the	DET
hjic-135	122	6	proposed	propose	VERB
hjic-135	122	7	approach	approach	NOUN
hjic-135	122	8	is	be	AUX
hjic-135	122	9	able	able	ADJ
hjic-135	122	10	to	to	PART
hjic-135	122	11	distinguish	distinguish	VERB
hjic-135	122	12	between	between	ADP
hjic-135	122	13	runaway	runaway	ADJ
hjic-135	122	14	and	and	CCONJ
hjic-135	122	15	non	non	ADJ
hjic-135	122	16	-	-	ADJ
hjic-135	122	17	runaway	runaway	ADJ
hjic-135	122	18	situations	situation	NOUN
hjic-135	122	19	based	base	VERB
hjic-135	122	20	on	on	ADP
hjic-135	122	21	a	a	DET
hjic-135	122	22	set	set	NOUN
hjic-135	122	23	of	of	ADP
hjic-135	122	24	linguistic	linguistic	ADJ
hjic-135	122	25	rules	rule	NOUN
hjic-135	122	26	extracted	extract	VERB
hjic-135	122	27	from	from	ADP
hjic-135	122	28	classified	classified	ADJ
hjic-135	122	29	process	process	NOUN
hjic-135	122	30	trends	trend	NOUN
hjic-135	122	31	obtained	obtain	VERB
hjic-135	122	32	by	by	ADP
hjic-135	122	33	the	the	DET
hjic-135	122	34	segmentation	segmentation	NOUN
hjic-135	122	35	of	of	ADP
hjic-135	122	36	time	time	NOUN
hjic-135	122	37	series	series	PROPN
hjic-135	122	38	generated	generate	VERB
hjic-135	122	39	by	by	ADP
hjic-135	122	40	the	the	DET
hjic-135	122	41	model	model	NOUN
hjic-135	122	42	of	of	ADP
hjic-135	122	43	the	the	DET
hjic-135	122	44	process	process	NOUN
hjic-135	122	45	.	.	PUNCT
hjic-135	123	1	the	the	DET
hjic-135	123	2	analysis	analysis	NOUN
hjic-135	123	3	of	of	ADP
hjic-135	123	4	the	the	DET
hjic-135	123	5	extracted	extract	VERB
hjic-135	123	6	rules	rule	NOUN
hjic-135	123	7	showed	show	VERB
hjic-135	123	8	the	the	DET
hjic-135	123	9	critical	critical	ADJ
hjic-135	123	10	process	process	NOUN
hjic-135	123	11	variables	variable	NOUN
hjic-135	123	12	determine	determine	VERB
hjic-135	123	13	the	the	DET
hjic-135	123	14	shape	shape	NOUN
hjic-135	123	15	of	of	ADP
hjic-135	123	16	the	the	DET
hjic-135	123	17	temperature	temperature	NOUN
hjic-135	123	18	profiles	profile	NOUN
hjic-135	123	19	.	.	PUNCT
hjic-135	124	1	acknowledgement	acknowledgement	NOUN
hjic-135	124	2	the	the	DET
hjic-135	124	3	authors	author	NOUN
hjic-135	124	4	would	would	AUX
hjic-135	124	5	like	like	VERB
hjic-135	124	6	to	to	PART
hjic-135	124	7	acknowledge	acknowledge	VERB
hjic-135	124	8	the	the	DET
hjic-135	124	9	support	support	NOUN
hjic-135	124	10	of	of	ADP
hjic-135	124	11	hungarian	hungarian	ADJ
hjic-135	124	12	research	research	NOUN
hjic-135	124	13	found	find	VERB
hjic-135	124	14	(	(	PUNCT
hjic-135	124	15	otka	otka	PROPN
hjic-135	124	16	t049534	t049534	NUM
hjic-135	124	17	)	)	PUNCT
hjic-135	124	18	and	and	CCONJ
hjic-135	124	19	the	the	DET
hjic-135	124	20	cooperative	cooperative	ADJ
hjic-135	124	21	research	research	NOUN
hjic-135	124	22	centre	centre	NOUN
hjic-135	124	23	(	(	PUNCT
hjic-135	124	24	vikkk	vikkk	PROPN
hjic-135	124	25	)	)	PUNCT
hjic-135	124	26	(	(	PUNCT
hjic-135	124	27	project	project	VERB
hjic-135	124	28	iii/2	iii/2	PROPN
hjic-135	124	29	)	)	PUNCT
hjic-135	124	30	.	.	PUNCT
hjic-135	125	1	jános	jános	PROPN
hjic-135	125	2	abonyi	abonyi	PROPN
hjic-135	125	3	is	be	AUX
hjic-135	125	4	grateful	grateful	ADJ
hjic-135	125	5	for	for	ADP
hjic-135	125	6	the	the	DET
hjic-135	125	7	support	support	NOUN
hjic-135	125	8	of	of	ADP
hjic-135	125	9	the	the	DET
hjic-135	125	10	bolyai	bolyai	NOUN
hjic-135	125	11	research	research	NOUN
hjic-135	125	12	fellowship	fellowship	NOUN
hjic-135	125	13	of	of	ADP
hjic-135	125	14	the	the	DET
hjic-135	125	15	hungarian	hungarian	ADJ
hjic-135	125	16	academy	academy	PROPN
hjic-135	125	17	of	of	ADP
hjic-135	125	18	sciences	sciences	PROPN
hjic-135	125	19	.	.	PUNCT
hjic-135	126	1	references	reference	NOUN
hjic-135	126	2	1	1	NUM
hjic-135	126	3	.	.	PUNCT
hjic-135	126	4	keogh	keogh	PROPN
hjic-135	126	5	e.	e.	PROPN
hjic-135	126	6	,	,	PUNCT
hjic-135	126	7	chu	chu	PROPN
hjic-135	126	8	s.	s.	PROPN
hjic-135	126	9	,	,	PUNCT
hjic-135	126	10	hart	hart	PROPN
hjic-135	126	11	d.	d.	PROPN
hjic-135	126	12	,	,	PUNCT
hjic-135	126	13	pazzani	pazzani	PROPN
hjic-135	126	14	m.	m.	NOUN
hjic-135	126	15	:	:	PUNCT
hjic-135	126	16	ieee	ieee	PROPN
hjic-135	126	17	international	international	PROPN
hjic-135	126	18	conference	conference	NOUN
hjic-135	126	19	on	on	ADP
hjic-135	126	20	data	datum	NOUN
hjic-135	126	21	mining	mining	NOUN
hjic-135	126	22	,	,	PUNCT
hjic-135	126	23	2001	2001	NUM
hjic-135	126	24	,	,	PUNCT
hjic-135	126	25	289	289	NUM
hjic-135	126	26	-	-	SYM
hjic-135	126	27	296	296	NUM
hjic-135	126	28	.	.	X
hjic-135	127	1	2	2	X
hjic-135	127	2	.	.	X
hjic-135	127	3	cheung	cheung	PROPN
hjic-135	127	4	j.	j.	PROPN
hjic-135	127	5	t.	t.	PROPN
hjic-135	127	6	,	,	PUNCT
hjic-135	127	7	stephanopoulos	stephanopoulos	PROPN
hjic-135	127	8	g.	g.	PROPN
hjic-135	127	9	:	:	PUNCT
hjic-135	127	10	computers	computer	NOUN
hjic-135	127	11	and	and	CCONJ
hjic-135	127	12	chemical	chemical	NOUN
hjic-135	127	13	engineering	engineering	NOUN
hjic-135	127	14	,	,	PUNCT
hjic-135	127	15	1990	1990	NUM
hjic-135	127	16	,	,	PUNCT
hjic-135	127	17	14	14	NUM
hjic-135	127	18	,	,	PUNCT
hjic-135	127	19	495	495	NUM
hjic-135	127	20	-	-	SYM
hjic-135	127	21	510	510	NUM
hjic-135	127	22	.	.	PUNCT
hjic-135	128	1	3	3	X
hjic-135	128	2	.	.	X
hjic-135	128	3	srinivasan	srinivasan	PROPN
hjic-135	128	4	r.	r.	PROPN
hjic-135	128	5	,	,	PUNCT
hjic-135	129	1	qian	qian	PROPN
hjic-135	129	2	m.	m.	PROPN
hjic-135	129	3	s.	s.	PROPN
hjic-135	129	4	:	:	PUNCT
hjic-135	129	5	chemical	chemical	ADJ
hjic-135	129	6	engineering	engineering	NOUN
hjic-135	129	7	science	science	NOUN
hjic-135	129	8	,	,	PUNCT
hjic-135	129	9	2006	2006	NUM
hjic-135	129	10	,	,	PUNCT
hjic-135	129	11	61	61	NUM
hjic-135	129	12	,	,	PUNCT
hjic-135	129	13	6109	6109	NUM
hjic-135	129	14	-	-	SYM
hjic-135	129	15	6132	6132	NUM
hjic-135	129	16	.	.	PUNCT
hjic-135	130	1	4	4	X
hjic-135	130	2	.	.	X
hjic-135	130	3	needleman	needleman	PROPN
hjic-135	130	4	s.	s.	PROPN
hjic-135	130	5	b.	b.	PROPN
hjic-135	130	6	,	,	PUNCT
hjic-135	130	7	wunsch	wunsch	PROPN
hjic-135	130	8	c.	c.	PROPN
hjic-135	130	9	d.	d.	PROPN
hjic-135	130	10	:	:	PUNCT
hjic-135	130	11	journal	journal	NOUN
hjic-135	130	12	of	of	ADP
hjic-135	130	13	molecular	molecular	ADJ
hjic-135	130	14	biology	biology	NOUN
hjic-135	130	15	,	,	PUNCT
hjic-135	130	16	1970	1970	NUM
hjic-135	130	17	,	,	PUNCT
hjic-135	130	18	48	48	NUM
hjic-135	130	19	,	,	PUNCT
hjic-135	130	20	443	443	NUM
hjic-135	130	21	-	-	SYM
hjic-135	130	22	453	453	NUM
hjic-135	130	23	.	.	NOUN
hjic-135	130	24	5	5	NUM
hjic-135	130	25	.	.	PUNCT
hjic-135	130	26	varga	varga	PROPN
hjic-135	130	27	t.	t.	PROPN
hjic-135	130	28	,	,	PUNCT
hjic-135	130	29	szeifert	szeifert	PROPN
hjic-135	130	30	f.	f.	PROPN
hjic-135	130	31	,	,	PUNCT
hjic-135	130	32	réti	réti	PROPN
hjic-135	130	33	j.	j.	PROPN
hjic-135	130	34	,	,	PUNCT
hjic-135	130	35	abonyi	abonyi	PROPN
hjic-135	130	36	j.	j.	PROPN
hjic-135	130	37	:	:	PUNCT
hjic-135	130	38	computer	computer	NOUN
hjic-135	130	39	-	-	PUNCT
hjic-135	130	40	aided	aid	VERB
hjic-135	130	41	chemical	chemical	NOUN
hjic-135	130	42	engineering	engineering	NOUN
hjic-135	130	43	,	,	PUNCT
hjic-135	130	44	2007	2007	NUM
hjic-135	130	45	,	,	PUNCT
hjic-135	130	46	24	24	NUM
hjic-135	130	47	,	,	PUNCT
hjic-135	130	48	751	751	NUM
hjic-135	130	49	-	-	SYM
hjic-135	130	50	756	756	NUM
hjic-135	130	51	.	.	PUNCT