id	sid	tid	token	lemma	pos
ajst-16329	1	1	academic	academic	ADJ
ajst-16329	1	2	journal	journal	NOUN
ajst-16329	1	3	of	of	ADP
ajst-16329	1	4	science	science	NOUN
ajst-16329	1	5	and	and	CCONJ
ajst-16329	1	6	technology	technology	NOUN
ajst-16329	1	7	issn	issn	NOUN
ajst-16329	1	8	:	:	PUNCT
ajst-16329	1	9	2771	2771	NUM
ajst-16329	1	10	-	-	SYM
ajst-16329	1	11	3032	3032	NUM
ajst-16329	1	12	|	|	NOUN
ajst-16329	1	13	vol	vol	NOUN
ajst-16329	1	14	.	.	PROPN
ajst-16329	2	1	9	9	NUM
ajst-16329	2	2	,	,	PUNCT
ajst-16329	2	3	no	no	INTJ
ajst-16329	2	4	.	.	NOUN
ajst-16329	2	5	1	1	NUM
ajst-16329	2	6	,	,	PUNCT
ajst-16329	2	7	2024	2024	NUM
ajst-16329	2	8	123	123	NUM
ajst-16329	2	9	air	air	NOUN
ajst-16329	2	10	quality	quality	NOUN
ajst-16329	2	11	correlation	correlation	NOUN
ajst-16329	2	12	analysis	analysis	NOUN
ajst-16329	2	13	based	base	VERB
ajst-16329	2	14	on	on	ADP
ajst-16329	2	15	apriori	apriori	PROPN
ajst-16329	2	16	algorithm	algorithm	PROPN
ajst-16329	2	17	shaohui	shaohui	PROPN
ajst-16329	2	18	yan1	yan1	PROPN
ajst-16329	2	19	,	,	PUNCT
ajst-16329	2	20	shuai	shuai	PROPN
ajst-16329	2	21	kang1	kang1	PROPN
ajst-16329	2	22	,	,	PUNCT
ajst-16329	2	23	*	*	PUNCT
ajst-16329	3	1	1school	1school	NUM
ajst-16329	3	2	of	of	ADP
ajst-16329	3	3	physics	physics	NOUN
ajst-16329	3	4	and	and	CCONJ
ajst-16329	3	5	electronic	electronic	ADJ
ajst-16329	3	6	engineering	engineering	NOUN
ajst-16329	3	7	,	,	PUNCT
ajst-16329	3	8	northwest	northwest	PROPN
ajst-16329	3	9	normal	normal	ADJ
ajst-16329	3	10	university	university	NOUN
ajst-16329	3	11	,	,	PUNCT
ajst-16329	3	12	lanzhou	lanzhou	PROPN
ajst-16329	3	13	,	,	PUNCT
ajst-16329	3	14	10736	10736	NUM
ajst-16329	3	15	,	,	PUNCT
ajst-16329	3	16	china	china	PROPN
ajst-16329	3	17	*	*	PUNCT
ajst-16329	3	18	corresponding	correspond	VERB
ajst-16329	3	19	author	author	NOUN
ajst-16329	3	20	:	:	PUNCT
ajst-16329	3	21	kangshun2024@126.com	kangshun2024@126.com	X
ajst-16329	3	22	abstract	abstract	NOUN
ajst-16329	3	23	:	:	PUNCT
ajst-16329	3	24	in	in	ADP
ajst-16329	3	25	recent	recent	ADJ
ajst-16329	3	26	years	year	NOUN
ajst-16329	3	27	,	,	PUNCT
ajst-16329	3	28	air	air	NOUN
ajst-16329	3	29	pollution	pollution	NOUN
ajst-16329	3	30	has	have	AUX
ajst-16329	3	31	become	become	VERB
ajst-16329	3	32	an	an	DET
ajst-16329	3	33	environmental	environmental	ADJ
ajst-16329	3	34	issue	issue	NOUN
ajst-16329	3	35	of	of	ADP
ajst-16329	3	36	global	global	ADJ
ajst-16329	3	37	concern	concern	NOUN
ajst-16329	3	38	.	.	PUNCT
ajst-16329	4	1	it	it	PRON
ajst-16329	4	2	not	not	PART
ajst-16329	4	3	only	only	ADV
ajst-16329	4	4	affects	affect	VERB
ajst-16329	4	5	human	human	ADJ
ajst-16329	4	6	health	health	NOUN
ajst-16329	4	7	,	,	PUNCT
ajst-16329	4	8	but	but	CCONJ
ajst-16329	4	9	also	also	ADV
ajst-16329	4	10	causes	cause	VERB
ajst-16329	4	11	serious	serious	ADJ
ajst-16329	4	12	damage	damage	NOUN
ajst-16329	4	13	to	to	ADP
ajst-16329	4	14	the	the	DET
ajst-16329	4	15	earth	earth	NOUN
ajst-16329	4	16	's	's	PART
ajst-16329	4	17	ecosystem	ecosystem	NOUN
ajst-16329	4	18	.	.	PUNCT
ajst-16329	5	1	by	by	ADP
ajst-16329	5	2	analyzing	analyze	VERB
ajst-16329	5	3	the	the	DET
ajst-16329	5	4	concentration	concentration	NOUN
ajst-16329	5	5	values	value	NOUN
ajst-16329	5	6	of	of	ADP
ajst-16329	5	7	various	various	ADJ
ajst-16329	5	8	pollutants	pollutant	NOUN
ajst-16329	5	9	in	in	ADP
ajst-16329	5	10	the	the	DET
ajst-16329	5	11	air	air	NOUN
ajst-16329	5	12	and	and	CCONJ
ajst-16329	5	13	the	the	DET
ajst-16329	5	14	air	air	NOUN
ajst-16329	5	15	quality	quality	PROPN
ajst-16329	5	16	index	index	NOUN
ajst-16329	5	17	(	(	PUNCT
ajst-16329	5	18	aqi	aqi	PROPN
ajst-16329	5	19	)	)	PUNCT
ajst-16329	5	20	every	every	DET
ajst-16329	5	21	hour	hour	NOUN
ajst-16329	5	22	,	,	PUNCT
ajst-16329	5	23	the	the	DET
ajst-16329	5	24	most	most	ADV
ajst-16329	5	25	relevant	relevant	ADJ
ajst-16329	5	26	components	component	NOUN
ajst-16329	5	27	to	to	ADP
ajst-16329	5	28	the	the	DET
ajst-16329	5	29	aqi	aqi	NOUN
ajst-16329	5	30	can	can	AUX
ajst-16329	5	31	be	be	AUX
ajst-16329	5	32	identified	identify	VERB
ajst-16329	5	33	.	.	PUNCT
ajst-16329	6	1	in	in	ADP
ajst-16329	6	2	this	this	DET
ajst-16329	6	3	paper	paper	NOUN
ajst-16329	6	4	,	,	PUNCT
ajst-16329	6	5	apriori	apriori	PROPN
ajst-16329	6	6	association	association	NOUN
ajst-16329	6	7	rule	rule	NOUN
ajst-16329	6	8	algorithm	algorithm	NOUN
ajst-16329	6	9	is	be	AUX
ajst-16329	6	10	applied	apply	VERB
ajst-16329	6	11	to	to	PART
ajst-16329	6	12	correlate	correlate	VERB
ajst-16329	6	13	various	various	ADJ
ajst-16329	6	14	data	datum	NOUN
ajst-16329	6	15	in	in	ADP
ajst-16329	6	16	air	air	NOUN
ajst-16329	6	17	quality	quality	NOUN
ajst-16329	6	18	monitoring	monitoring	NOUN
ajst-16329	6	19	to	to	PART
ajst-16329	6	20	provide	provide	VERB
ajst-16329	6	21	a	a	DET
ajst-16329	6	22	new	new	ADJ
ajst-16329	6	23	reference	reference	NOUN
ajst-16329	6	24	solution	solution	NOUN
ajst-16329	6	25	for	for	ADP
ajst-16329	6	26	solving	solve	VERB
ajst-16329	6	27	environmental	environmental	ADJ
ajst-16329	6	28	pollution	pollution	NOUN
ajst-16329	6	29	problems	problem	NOUN
ajst-16329	6	30	in	in	ADP
ajst-16329	6	31	the	the	DET
ajst-16329	6	32	future	future	NOUN
ajst-16329	6	33	.	.	PUNCT
ajst-16329	7	1	keywords	keyword	NOUN
ajst-16329	7	2	:	:	PUNCT
ajst-16329	7	3	apriori	apriori	PROPN
ajst-16329	7	4	algorithm	algorithm	NOUN
ajst-16329	7	5	,	,	PUNCT
ajst-16329	7	6	association	association	NOUN
ajst-16329	7	7	rules	rule	NOUN
ajst-16329	7	8	,	,	PUNCT
ajst-16329	7	9	data	datum	NOUN
ajst-16329	7	10	preprocessing	preprocessing	NOUN
ajst-16329	7	11	.	.	PUNCT
ajst-16329	8	1	1	1	X
ajst-16329	8	2	.	.	X
ajst-16329	8	3	introduction	introduction	NOUN
ajst-16329	8	4	air	air	NOUN
ajst-16329	8	5	pollution	pollution	NOUN
ajst-16329	8	6	is	be	AUX
ajst-16329	8	7	a	a	DET
ajst-16329	8	8	serious	serious	ADJ
ajst-16329	8	9	environmental	environmental	ADJ
ajst-16329	8	10	problem	problem	NOUN
ajst-16329	8	11	that	that	PRON
ajst-16329	8	12	poses	pose	VERB
ajst-16329	8	13	a	a	DET
ajst-16329	8	14	great	great	ADJ
ajst-16329	8	15	threat	threat	NOUN
ajst-16329	8	16	to	to	ADP
ajst-16329	8	17	the	the	DET
ajst-16329	8	18	health	health	NOUN
ajst-16329	8	19	of	of	ADP
ajst-16329	8	20	human	human	ADJ
ajst-16329	8	21	beings	being	NOUN
ajst-16329	8	22	and	and	CCONJ
ajst-16329	8	23	the	the	DET
ajst-16329	8	24	planet	planet	NOUN
ajst-16329	8	25	.	.	PUNCT
ajst-16329	9	1	its	its	PRON
ajst-16329	9	2	main	main	ADJ
ajst-16329	9	3	sources	source	NOUN
ajst-16329	9	4	are	be	AUX
ajst-16329	9	5	industrial	industrial	ADJ
ajst-16329	9	6	,	,	PUNCT
ajst-16329	9	7	automobile	automobile	NOUN
ajst-16329	9	8	and	and	CCONJ
ajst-16329	9	9	household	household	NOUN
ajst-16329	9	10	emissions	emission	NOUN
ajst-16329	9	11	.	.	PUNCT
ajst-16329	10	1	these	these	DET
ajst-16329	10	2	pollutants	pollutant	NOUN
ajst-16329	10	3	form	form	VERB
ajst-16329	10	4	smog	smog	NOUN
ajst-16329	10	5	,	,	PUNCT
ajst-16329	10	6	suspended	suspend	VERB
ajst-16329	10	7	particles	particle	NOUN
ajst-16329	10	8	and	and	CCONJ
ajst-16329	10	9	harmful	harmful	ADJ
ajst-16329	10	10	gases	gas	NOUN
ajst-16329	10	11	in	in	ADP
ajst-16329	10	12	the	the	DET
ajst-16329	10	13	atmosphere	atmosphere	NOUN
ajst-16329	10	14	,	,	PUNCT
ajst-16329	10	15	posing	pose	VERB
ajst-16329	10	16	a	a	DET
ajst-16329	10	17	serious	serious	ADJ
ajst-16329	10	18	threat	threat	NOUN
ajst-16329	10	19	to	to	ADP
ajst-16329	10	20	human	human	ADJ
ajst-16329	10	21	health	health	NOUN
ajst-16329	10	22	.	.	PUNCT
ajst-16329	11	1	in	in	ADP
ajst-16329	11	2	order	order	NOUN
ajst-16329	11	3	to	to	PART
ajst-16329	11	4	improve	improve	VERB
ajst-16329	11	5	air	air	NOUN
ajst-16329	11	6	quality	quality	NOUN
ajst-16329	11	7	and	and	CCONJ
ajst-16329	11	8	effectively	effectively	ADV
ajst-16329	11	9	suppress	suppress	VERB
ajst-16329	11	10	the	the	DET
ajst-16329	11	11	concentration	concentration	NOUN
ajst-16329	11	12	of	of	ADP
ajst-16329	11	13	pollutants	pollutant	NOUN
ajst-16329	11	14	in	in	ADP
ajst-16329	11	15	the	the	DET
ajst-16329	11	16	air	air	NOUN
ajst-16329	11	17	,	,	PUNCT
ajst-16329	11	18	apriori	apriori	ADV
ajst-16329	11	19	algorithm	algorithm	NOUN
ajst-16329	11	20	is	be	AUX
ajst-16329	11	21	proposed	propose	VERB
ajst-16329	11	22	to	to	PART
ajst-16329	11	23	analyze	analyze	VERB
ajst-16329	11	24	the	the	DET
ajst-16329	11	25	correlation	correlation	NOUN
ajst-16329	11	26	of	of	ADP
ajst-16329	11	27	air	air	NOUN
ajst-16329	11	28	quality	quality	NOUN
ajst-16329	11	29	detection	detection	NOUN
ajst-16329	11	30	data	datum	NOUN
ajst-16329	11	31	.	.	PUNCT
ajst-16329	12	1	at	at	ADP
ajst-16329	12	2	present	present	ADJ
ajst-16329	12	3	,	,	PUNCT
ajst-16329	12	4	the	the	DET
ajst-16329	12	5	research	research	NOUN
ajst-16329	12	6	on	on	ADP
ajst-16329	12	7	correlation	correlation	NOUN
ajst-16329	12	8	at	at	ADP
ajst-16329	12	9	home	home	NOUN
ajst-16329	12	10	and	and	CCONJ
ajst-16329	12	11	abroad	abroad	ADV
ajst-16329	12	12	has	have	AUX
ajst-16329	12	13	achieved	achieve	VERB
ajst-16329	12	14	certain	certain	ADJ
ajst-16329	12	15	results	result	NOUN
ajst-16329	12	16	.	.	PUNCT
ajst-16329	13	1	literature	literature	NOUN
ajst-16329	13	2	[	[	X
ajst-16329	13	3	1	1	X
ajst-16329	13	4	]	]	PUNCT
ajst-16329	13	5	proposed	propose	VERB
ajst-16329	13	6	a	a	DET
ajst-16329	13	7	multiobjective	multiobjective	ADJ
ajst-16329	13	8	genetic	genetic	ADJ
ajst-16329	13	9	algorithm	algorithm	NOUN
ajst-16329	13	10	based	base	VERB
ajst-16329	13	11	on	on	ADP
ajst-16329	13	12	rough	rough	ADJ
ajst-16329	13	13	patterns	pattern	NOUN
ajst-16329	13	14	for	for	ADP
ajst-16329	13	15	mining	mine	VERB
ajst-16329	13	16	the	the	DET
ajst-16329	13	17	association	association	NOUN
ajst-16329	13	18	rules	rule	NOUN
ajst-16329	13	19	between	between	ADP
ajst-16329	13	20	values	value	NOUN
ajst-16329	13	21	.	.	PUNCT
ajst-16329	14	1	the	the	DET
ajst-16329	14	2	rough	rough	ADJ
ajst-16329	14	3	values	value	NOUN
ajst-16329	14	4	defined	define	VERB
ajst-16329	14	5	by	by	ADP
ajst-16329	14	6	upper	upper	ADJ
ajst-16329	14	7	and	and	CCONJ
ajst-16329	14	8	lower	low	ADJ
ajst-16329	14	9	bounds	bound	NOUN
ajst-16329	14	10	are	be	AUX
ajst-16329	14	11	used	use	VERB
ajst-16329	14	12	to	to	PART
ajst-16329	14	13	represent	represent	VERB
ajst-16329	14	14	a	a	DET
ajst-16329	14	15	set	set	NOUN
ajst-16329	14	16	of	of	ADP
ajst-16329	14	17	values	value	NOUN
ajst-16329	14	18	,	,	PUNCT
ajst-16329	14	19	and	and	CCONJ
ajst-16329	14	20	pareto	pareto	ADJ
ajst-16329	14	21	optimality	optimality	NOUN
ajst-16329	14	22	is	be	AUX
ajst-16329	14	23	used	use	VERB
ajst-16329	14	24	to	to	PART
ajst-16329	14	25	solve	solve	VERB
ajst-16329	14	26	the	the	DET
ajst-16329	14	27	multi	multi	ADJ
ajst-16329	14	28	-	-	ADJ
ajst-16329	14	29	objective	objective	ADJ
ajst-16329	14	30	optimization	optimization	NOUN
ajst-16329	14	31	problem	problem	NOUN
ajst-16329	14	32	,	,	PUNCT
ajst-16329	14	33	which	which	PRON
ajst-16329	14	34	contributes	contribute	VERB
ajst-16329	14	35	well	well	ADV
ajst-16329	14	36	to	to	PART
ajst-16329	14	37	improve	improve	VERB
ajst-16329	14	38	the	the	DET
ajst-16329	14	39	performance	performance	NOUN
ajst-16329	14	40	of	of	ADP
ajst-16329	14	41	the	the	DET
ajst-16329	14	42	algorithm	algorithm	NOUN
ajst-16329	14	43	.	.	PUNCT
ajst-16329	15	1	literature	literature	NOUN
ajst-16329	16	1	[	[	X
ajst-16329	16	2	2	2	NUM
ajst-16329	16	3	]	]	PUNCT
ajst-16329	16	4	selects	select	VERB
ajst-16329	16	5	the	the	DET
ajst-16329	16	6	most	most	ADV
ajst-16329	16	7	effective	effective	ADJ
ajst-16329	16	8	attributes	attribute	NOUN
ajst-16329	16	9	by	by	ADP
ajst-16329	16	10	using	use	VERB
ajst-16329	16	11	association	association	NOUN
ajst-16329	16	12	rule	rule	NOUN
ajst-16329	16	13	-	-	PUNCT
ajst-16329	16	14	optimized	optimize	VERB
ajst-16329	16	15	wheeze	wheeze	NOUN
ajst-16329	16	16	measurements	measurement	NOUN
ajst-16329	16	17	and	and	CCONJ
ajst-16329	16	18	dissolved	dissolve	VERB
ajst-16329	16	19	gas	gas	NOUN
ajst-16329	16	20	analysis	analysis	NOUN
ajst-16329	16	21	methods	method	NOUN
ajst-16329	16	22	,	,	PUNCT
ajst-16329	16	23	which	which	PRON
ajst-16329	16	24	reduces	reduce	VERB
ajst-16329	16	25	the	the	DET
ajst-16329	16	26	inputs	input	NOUN
ajst-16329	16	27	to	to	ADP
ajst-16329	16	28	the	the	DET
ajst-16329	16	29	adaptive	adaptive	ADJ
ajst-16329	16	30	neuro	neuro	NOUN
ajst-16329	16	31	-	-	PUNCT
ajst-16329	16	32	fuzzy	fuzzy	ADJ
ajst-16329	16	33	inference	inference	NOUN
ajst-16329	16	34	system	system	NOUN
ajst-16329	16	35	and	and	CCONJ
ajst-16329	16	36	effectively	effectively	ADV
ajst-16329	16	37	improves	improve	VERB
ajst-16329	16	38	the	the	DET
ajst-16329	16	39	performance	performance	NOUN
ajst-16329	16	40	of	of	ADP
ajst-16329	16	41	the	the	DET
ajst-16329	16	42	algorithm	algorithm	NOUN
ajst-16329	16	43	.	.	PUNCT
ajst-16329	17	1	literature	literature	NOUN
ajst-16329	17	2	[	[	X
ajst-16329	17	3	3	3	X
ajst-16329	17	4	]	]	PUNCT
ajst-16329	17	5	proposed	propose	VERB
ajst-16329	17	6	an	an	DET
ajst-16329	17	7	apriori	apriori	ADJ
ajst-16329	17	8	algorithm	algorithm	NOUN
ajst-16329	17	9	based	base	VERB
ajst-16329	17	10	on	on	ADP
ajst-16329	17	11	association	association	NOUN
ajst-16329	17	12	rule	rule	NOUN
ajst-16329	17	13	mining	mining	NOUN
ajst-16329	17	14	to	to	PART
ajst-16329	17	15	discover	discover	VERB
ajst-16329	17	16	symptom	symptom	NOUN
ajst-16329	17	17	patterns	pattern	NOUN
ajst-16329	17	18	in	in	ADP
ajst-16329	17	19	covid-19	covid-19	PROPN
ajst-16329	17	20	patients	patient	NOUN
ajst-16329	17	21	.	.	PUNCT
ajst-16329	18	1	this	this	DET
ajst-16329	18	2	study	study	NOUN
ajst-16329	18	3	used	use	VERB
ajst-16329	18	4	records	record	NOUN
ajst-16329	18	5	of	of	ADP
ajst-16329	18	6	2875	2875	NUM
ajst-16329	18	7	patients	patient	NOUN
ajst-16329	18	8	to	to	PART
ajst-16329	18	9	identify	identify	VERB
ajst-16329	18	10	the	the	DET
ajst-16329	18	11	most	most	ADV
ajst-16329	18	12	common	common	ADJ
ajst-16329	18	13	signs	sign	NOUN
ajst-16329	18	14	and	and	CCONJ
ajst-16329	18	15	symptoms	symptom	NOUN
ajst-16329	18	16	,	,	PUNCT
ajst-16329	18	17	providing	provide	VERB
ajst-16329	18	18	clinicians	clinician	NOUN
ajst-16329	18	19	with	with	ADP
ajst-16329	18	20	valuable	valuable	ADJ
ajst-16329	18	21	insights	insight	NOUN
ajst-16329	18	22	into	into	ADP
ajst-16329	18	23	the	the	DET
ajst-16329	18	24	disease	disease	NOUN
ajst-16329	18	25	and	and	CCONJ
ajst-16329	18	26	helping	help	VERB
ajst-16329	18	27	them	they	PRON
ajst-16329	18	28	to	to	PART
ajst-16329	18	29	effectively	effectively	ADV
ajst-16329	18	30	manage	manage	VERB
ajst-16329	18	31	and	and	CCONJ
ajst-16329	18	32	treat	treat	VERB
ajst-16329	18	33	it	it	PRON
ajst-16329	18	34	.	.	PUNCT
ajst-16329	19	1	in	in	ADP
ajst-16329	19	2	this	this	DET
ajst-16329	19	3	paper	paper	NOUN
ajst-16329	19	4	,	,	PUNCT
ajst-16329	19	5	an	an	DET
ajst-16329	19	6	apriori	apriori	ADV
ajst-16329	19	7	algorithm	algorithm	NOUN
ajst-16329	19	8	based	base	VERB
ajst-16329	19	9	correlation	correlation	NOUN
ajst-16329	19	10	study	study	NOUN
ajst-16329	19	11	of	of	ADP
ajst-16329	19	12	air	air	NOUN
ajst-16329	19	13	quality	quality	NOUN
ajst-16329	19	14	testing	testing	NOUN
ajst-16329	19	15	data	datum	NOUN
ajst-16329	19	16	is	be	AUX
ajst-16329	19	17	proposed	propose	VERB
ajst-16329	19	18	.	.	PUNCT
ajst-16329	20	1	first	first	ADV
ajst-16329	20	2	,	,	PUNCT
ajst-16329	20	3	the	the	DET
ajst-16329	20	4	obtained	obtain	VERB
ajst-16329	20	5	data	datum	NOUN
ajst-16329	20	6	are	be	AUX
ajst-16329	20	7	processed	process	VERB
ajst-16329	20	8	to	to	PART
ajst-16329	20	9	obtain	obtain	VERB
ajst-16329	20	10	a	a	DET
ajst-16329	20	11	set	set	NOUN
ajst-16329	20	12	of	of	ADP
ajst-16329	20	13	basic	basic	ADJ
ajst-16329	20	14	ground	ground	NOUN
ajst-16329	20	15	correlation	correlation	NOUN
ajst-16329	20	16	data	datum	NOUN
ajst-16329	20	17	set	set	VERB
ajst-16329	20	18	.	.	PUNCT
ajst-16329	21	1	then	then	ADV
ajst-16329	21	2	,	,	PUNCT
ajst-16329	21	3	the	the	DET
ajst-16329	21	4	data	datum	NOUN
ajst-16329	21	5	set	set	VERB
ajst-16329	21	6	is	be	AUX
ajst-16329	21	7	analyzed	analyze	VERB
ajst-16329	21	8	using	use	VERB
ajst-16329	21	9	apriori	apriori	ADJ
ajst-16329	21	10	algorithm	algorithm	NOUN
ajst-16329	21	11	to	to	PART
ajst-16329	21	12	get	get	VERB
ajst-16329	21	13	the	the	DET
ajst-16329	21	14	correlation	correlation	NOUN
ajst-16329	21	15	results	result	NOUN
ajst-16329	21	16	between	between	ADP
ajst-16329	21	17	the	the	DET
ajst-16329	21	18	data	datum	NOUN
ajst-16329	21	19	.	.	PUNCT
ajst-16329	22	1	finally	finally	ADV
ajst-16329	22	2	,	,	PUNCT
ajst-16329	22	3	the	the	DET
ajst-16329	22	4	accuracy	accuracy	NOUN
ajst-16329	22	5	of	of	ADP
ajst-16329	22	6	the	the	DET
ajst-16329	22	7	correlation	correlation	NOUN
ajst-16329	22	8	results	result	NOUN
ajst-16329	22	9	is	be	AUX
ajst-16329	22	10	examined	examine	VERB
ajst-16329	22	11	.	.	PUNCT
ajst-16329	23	1	in	in	ADP
ajst-16329	23	2	this	this	DET
ajst-16329	23	3	paper	paper	NOUN
ajst-16329	23	4	,	,	PUNCT
ajst-16329	23	5	a	a	DET
ajst-16329	23	6	correlation	correlation	NOUN
ajst-16329	23	7	study	study	NOUN
ajst-16329	23	8	of	of	ADP
ajst-16329	23	9	air	air	NOUN
ajst-16329	23	10	quality	quality	NOUN
ajst-16329	23	11	detection	detection	NOUN
ajst-16329	23	12	data	datum	NOUN
ajst-16329	23	13	based	base	VERB
ajst-16329	23	14	on	on	ADP
ajst-16329	23	15	apriori	apriori	ADJ
ajst-16329	23	16	algorithm	algorithm	NOUN
ajst-16329	23	17	is	be	AUX
ajst-16329	23	18	proposed	propose	VERB
ajst-16329	23	19	.	.	PUNCT
ajst-16329	24	1	first	first	ADV
ajst-16329	24	2	,	,	PUNCT
ajst-16329	24	3	the	the	DET
ajst-16329	24	4	obtained	obtain	VERB
ajst-16329	24	5	data	datum	NOUN
ajst-16329	24	6	are	be	AUX
ajst-16329	24	7	processed	process	VERB
ajst-16329	24	8	to	to	PART
ajst-16329	24	9	obtain	obtain	VERB
ajst-16329	24	10	a	a	DET
ajst-16329	24	11	set	set	NOUN
ajst-16329	24	12	of	of	ADP
ajst-16329	24	13	basic	basic	ADJ
ajst-16329	24	14	ground	ground	NOUN
ajst-16329	24	15	correlation	correlation	NOUN
ajst-16329	24	16	data	datum	NOUN
ajst-16329	24	17	set	set	VERB
ajst-16329	24	18	.	.	PUNCT
ajst-16329	25	1	then	then	ADV
ajst-16329	25	2	,	,	PUNCT
ajst-16329	25	3	the	the	DET
ajst-16329	25	4	data	datum	NOUN
ajst-16329	25	5	set	set	VERB
ajst-16329	25	6	is	be	AUX
ajst-16329	25	7	analyzed	analyze	VERB
ajst-16329	25	8	using	use	VERB
ajst-16329	25	9	apriori	apriori	ADJ
ajst-16329	25	10	algorithm	algorithm	NOUN
ajst-16329	25	11	to	to	PART
ajst-16329	25	12	get	get	VERB
ajst-16329	25	13	the	the	DET
ajst-16329	25	14	correlation	correlation	NOUN
ajst-16329	25	15	results	result	NOUN
ajst-16329	25	16	between	between	ADP
ajst-16329	25	17	the	the	DET
ajst-16329	25	18	data	datum	NOUN
ajst-16329	25	19	.	.	PUNCT
ajst-16329	26	1	finally	finally	ADV
ajst-16329	26	2	,	,	PUNCT
ajst-16329	26	3	the	the	DET
ajst-16329	26	4	accuracy	accuracy	NOUN
ajst-16329	26	5	of	of	ADP
ajst-16329	26	6	the	the	DET
ajst-16329	26	7	correlation	correlation	NOUN
ajst-16329	26	8	results	result	NOUN
ajst-16329	26	9	is	be	AUX
ajst-16329	26	10	examined	examine	VERB
ajst-16329	26	11	.	.	PUNCT
ajst-16329	27	1	2	2	X
ajst-16329	27	2	.	.	X
ajst-16329	27	3	the	the	DET
ajst-16329	27	4	apriori	apriori	ADJ
ajst-16329	27	5	algorithm	algorithm	NOUN
ajst-16329	27	6	2.1	2.1	NUM
ajst-16329	27	7	.	.	PUNCT
ajst-16329	27	8	basic	basic	ADJ
ajst-16329	27	9	concepts	concept	NOUN
ajst-16329	27	10	association	association	NOUN
ajst-16329	27	11	rules	rule	NOUN
ajst-16329	27	12	are	be	AUX
ajst-16329	27	13	a	a	DET
ajst-16329	27	14	very	very	ADV
ajst-16329	27	15	classical	classical	ADJ
ajst-16329	27	16	task	task	NOUN
ajst-16329	27	17	in	in	ADP
ajst-16329	27	18	data	datum	NOUN
ajst-16329	27	19	mining	mining	NOUN
ajst-16329	27	20	,	,	PUNCT
ajst-16329	27	21	whose	whose	DET
ajst-16329	27	22	main	main	ADJ
ajst-16329	27	23	goal	goal	NOUN
ajst-16329	27	24	is	be	AUX
ajst-16329	27	25	to	to	PART
ajst-16329	27	26	extract	extract	VERB
ajst-16329	27	27	frequent	frequent	ADJ
ajst-16329	27	28	items	item	NOUN
ajst-16329	27	29	and	and	CCONJ
ajst-16329	27	30	corresponding	correspond	VERB
ajst-16329	27	31	association	association	NOUN
ajst-16329	27	32	rules	rule	NOUN
ajst-16329	27	33	from	from	ADP
ajst-16329	27	34	a	a	DET
ajst-16329	27	35	series	series	NOUN
ajst-16329	27	36	of	of	ADP
ajst-16329	27	37	transaction	transaction	NOUN
ajst-16329	27	38	sets	set	NOUN
ajst-16329	27	39	and	and	CCONJ
ajst-16329	27	40	to	to	PART
ajst-16329	27	41	explore	explore	VERB
ajst-16329	27	42	the	the	DET
ajst-16329	27	43	interdependence	interdependence	NOUN
ajst-16329	27	44	and	and	CCONJ
ajst-16329	27	45	correlation	correlation	NOUN
ajst-16329	27	46	between	between	ADP
ajst-16329	27	47	events	event	NOUN
ajst-16329	27	48	and	and	CCONJ
ajst-16329	27	49	other	other	ADJ
ajst-16329	27	50	events	event	NOUN
ajst-16329	27	51	.	.	PUNCT
ajst-16329	28	1	the	the	DET
ajst-16329	28	2	association	association	NOUN
ajst-16329	28	3	rule	rule	NOUN
ajst-16329	28	4	mining	mining	NOUN
ajst-16329	28	5	algorithms	algorithm	NOUN
ajst-16329	28	6	proposed	propose	VERB
ajst-16329	28	7	so	so	ADV
ajst-16329	28	8	far	far	ADV
ajst-16329	28	9	are	be	AUX
ajst-16329	28	10	apriori	apriori	ADV
ajst-16329	28	11	algorithm	algorithm	NOUN
ajst-16329	28	12	,	,	PUNCT
ajst-16329	28	13	fp	fp	ADJ
ajst-16329	28	14	growth	growth	NOUN
ajst-16329	28	15	algorithm	algorithm	NOUN
ajst-16329	28	16	,	,	PUNCT
ajst-16329	28	17	eclat	eclat	PROPN
ajst-16329	28	18	algorithm	algorithm	PROPN
ajst-16329	28	19	,	,	PUNCT
ajst-16329	28	20	etc	etc	X
ajst-16329	29	1	[	[	X
ajst-16329	29	2	5	5	NUM
ajst-16329	29	3	-	-	SYM
ajst-16329	29	4	7	7	NUM
ajst-16329	29	5	]	]	PUNCT
ajst-16329	29	6	.	.	PUNCT
ajst-16329	30	1	one	one	NUM
ajst-16329	30	2	of	of	ADP
ajst-16329	30	3	the	the	DET
ajst-16329	30	4	most	most	ADV
ajst-16329	30	5	famous	famous	ADJ
ajst-16329	30	6	association	association	NOUN
ajst-16329	30	7	rule	rule	NOUN
ajst-16329	30	8	methods	method	NOUN
ajst-16329	30	9	is	be	AUX
ajst-16329	30	10	apriori	apriori	ADV
ajst-16329	30	11	algorithm	algorithm	NOUN
ajst-16329	30	12	.	.	PUNCT
ajst-16329	31	1	before	before	ADP
ajst-16329	31	2	gaining	gain	VERB
ajst-16329	31	3	a	a	DET
ajst-16329	31	4	specific	specific	ADJ
ajst-16329	31	5	understanding	understanding	NOUN
ajst-16329	31	6	of	of	ADP
ajst-16329	31	7	the	the	DET
ajst-16329	31	8	apriori	apriori	ADJ
ajst-16329	31	9	algorithm	algorithm	NOUN
ajst-16329	31	10	,	,	PUNCT
ajst-16329	31	11	it	it	PRON
ajst-16329	31	12	is	be	AUX
ajst-16329	31	13	important	important	ADJ
ajst-16329	31	14	to	to	PART
ajst-16329	31	15	first	first	ADV
ajst-16329	31	16	understand	understand	VERB
ajst-16329	31	17	some	some	DET
ajst-16329	31	18	concepts	concept	NOUN
ajst-16329	31	19	:	:	PUNCT
ajst-16329	31	20	①association	①association	NOUN
ajst-16329	31	21	rule	rule	NOUN
ajst-16329	31	22	:	:	PUNCT
ajst-16329	31	23	an	an	DET
ajst-16329	31	24	association	association	NOUN
ajst-16329	31	25	rule	rule	NOUN
ajst-16329	31	26	is	be	AUX
ajst-16329	31	27	an	an	DET
ajst-16329	31	28	implication	implication	NOUN
ajst-16329	31	29	in	in	ADP
ajst-16329	31	30	the	the	DET
ajst-16329	31	31	form	form	NOUN
ajst-16329	31	32	of	of	ADP
ajst-16329	31	33	x=>y	x=>y	PROPN
ajst-16329	31	34	,	,	PUNCT
ajst-16329	31	35	where	where	SCONJ
ajst-16329	31	36	x	x	PUNCT
ajst-16329	31	37	and	and	CCONJ
ajst-16329	31	38	y	y	PROPN
ajst-16329	31	39	are	be	AUX
ajst-16329	31	40	itemsets	itemset	NOUN
ajst-16329	31	41	,	,	PUNCT
ajst-16329	31	42	and	and	CCONJ
ajst-16329	31	43	there	there	PRON
ajst-16329	31	44	is	be	VERB
ajst-16329	31	45	no	no	DET
ajst-16329	31	46	intersection	intersection	NOUN
ajst-16329	31	47	between	between	ADP
ajst-16329	31	48	x	x	PROPN
ajst-16329	31	49	and	and	CCONJ
ajst-16329	31	50	y.	y.	PROPN
ajst-16329	31	51	x	x	PROPN
ajst-16329	31	52	is	be	AUX
ajst-16329	31	53	called	call	VERB
ajst-16329	31	54	the	the	DET
ajst-16329	31	55	antecedent	antecedent	NOUN
ajst-16329	31	56	of	of	ADP
ajst-16329	31	57	the	the	DET
ajst-16329	31	58	rule	rule	NOUN
ajst-16329	31	59	,	,	PUNCT
ajst-16329	31	60	and	and	CCONJ
ajst-16329	31	61	y	y	PROPN
ajst-16329	31	62	is	be	AUX
ajst-16329	31	63	called	call	VERB
ajst-16329	31	64	the	the	DET
ajst-16329	31	65	consequent	consequent	NOUN
ajst-16329	31	66	of	of	ADP
ajst-16329	31	67	the	the	DET
ajst-16329	31	68	rule	rule	NOUN
ajst-16329	31	69	.	.	PUNCT
ajst-16329	32	1	the	the	DET
ajst-16329	32	2	association	association	NOUN
ajst-16329	32	3	rule	rule	NOUN
ajst-16329	32	4	reflects	reflect	VERB
ajst-16329	32	5	the	the	DET
ajst-16329	32	6	pattern	pattern	NOUN
ajst-16329	32	7	in	in	ADP
ajst-16329	32	8	which	which	PRON
ajst-16329	32	9	the	the	DET
ajst-16329	32	10	items	item	NOUN
ajst-16329	32	11	in	in	ADP
ajst-16329	32	12	x	x	PUNCT
ajst-16329	32	13	appear	appear	VERB
ajst-16329	32	14	,	,	PUNCT
ajst-16329	32	15	and	and	CCONJ
ajst-16329	32	16	the	the	DET
ajst-16329	32	17	items	item	NOUN
ajst-16329	32	18	in	in	ADP
ajst-16329	32	19	y	y	PROPN
ajst-16329	32	20	also	also	ADV
ajst-16329	32	21	follow	follow	VERB
ajst-16329	32	22	.	.	PUNCT
ajst-16329	33	1	②support	②support	NOUN
ajst-16329	33	2	:	:	PUNCT
ajst-16329	33	3	the	the	DET
ajst-16329	33	4	proportion	proportion	NOUN
ajst-16329	33	5	of	of	ADP
ajst-16329	33	6	times	time	NOUN
ajst-16329	33	7	several	several	ADJ
ajst-16329	33	8	associated	associated	ADJ
ajst-16329	33	9	data	datum	NOUN
ajst-16329	33	10	appear	appear	VERB
ajst-16329	33	11	in	in	ADP
ajst-16329	33	12	the	the	DET
ajst-16329	33	13	dataset	dataset	NOUN
ajst-16329	33	14	to	to	ADP
ajst-16329	33	15	the	the	DET
ajst-16329	33	16	total	total	ADJ
ajst-16329	33	17	dataset	dataset	NOUN
ajst-16329	33	18	[	[	X
ajst-16329	33	19	10	10	NUM
ajst-16329	33	20	]	]	PUNCT
ajst-16329	33	21	.	.	PUNCT
ajst-16329	34	1	namely	namely	ADV
ajst-16329	34	2	,	,	PUNCT
ajst-16329	34	3	support=(including	support=(include	VERB
ajst-16329	34	4	the	the	DET
ajst-16329	34	5	number	number	NOUN
ajst-16329	34	6	of	of	ADP
ajst-16329	34	7	records	record	NOUN
ajst-16329	34	8	for	for	ADP
ajst-16329	34	9	item	item	NOUN
ajst-16329	34	10	x)/(total	x)/(total	ADJ
ajst-16329	34	11	number	number	NOUN
ajst-16329	34	12	of	of	ADP
ajst-16329	34	13	records	record	NOUN
ajst-16329	34	14	)	)	PUNCT
ajst-16329	35	1	[	[	X
ajst-16329	35	2	9	9	NUM
ajst-16329	35	3	]	]	PUNCT
ajst-16329	35	4	)	)	PUNCT
ajst-16329	35	5	(	(	PUNCT
ajst-16329	35	6	)	)	PUNCT
ajst-16329	35	7	(	(	PUNCT
ajst-16329	35	8	)	)	PUNCT
ajst-16329	35	9	(	(	PUNCT
ajst-16329	35	10	)	)	PUNCT
ajst-16329	35	11	,	,	PUNCT
ajst-16329	35	12	support	support	NOUN
ajst-16329	35	13	allsamplesnumber	allsamplesnumber	NOUN
ajst-16329	35	14	xynumber	xynumber	PROPN
ajst-16329	35	15	xypyx	xypyx	PROPN
ajst-16329	35	16			X
ajst-16329	35	17	（	（	X
ajst-16329	35	18	(	(	PUNCT
ajst-16329	35	19	1	1	NUM
ajst-16329	35	20	)	)	PUNCT
ajst-16329	35	21	③confidence	③confidence	NOUN
ajst-16329	35	22	:	:	PUNCT
ajst-16329	35	23	the	the	DET
ajst-16329	35	24	probability	probability	NOUN
ajst-16329	35	25	of	of	ADP
ajst-16329	35	26	one	one	NUM
ajst-16329	35	27	data	datum	NOUN
ajst-16329	35	28	appearing	appear	VERB
ajst-16329	35	29	,	,	PUNCT
ajst-16329	35	30	or	or	CCONJ
ajst-16329	35	31	the	the	DET
ajst-16329	35	32	conditional	conditional	ADJ
ajst-16329	35	33	probability	probability	NOUN
ajst-16329	35	34	of	of	ADP
ajst-16329	35	35	another	another	DET
ajst-16329	35	36	data	datum	NOUN
ajst-16329	35	37	appearing	appear	VERB
ajst-16329	35	38	.	.	PUNCT
ajst-16329	36	1	confidence	confidence	NOUN
ajst-16329	36	2	(	(	PUNCT
ajst-16329	36	3	x	x	X
ajst-16329	36	4	->y)=(number	->y)=(number	ADP
ajst-16329	36	5	of	of	ADP
ajst-16329	36	6	records	record	NOUN
ajst-16329	36	7	containing	contain	VERB
ajst-16329	36	8	items	item	NOUN
ajst-16329	36	9	x	x	PUNCT
ajst-16329	36	10	and	and	CCONJ
ajst-16329	36	11	y)/(number	y)/(number	PROPN
ajst-16329	36	12	of	of	ADP
ajst-16329	36	13	records	record	NOUN
ajst-16329	36	14	containing	contain	VERB
ajst-16329	36	15	x	x	NOUN
ajst-16329	36	16	)	)	PUNCT
ajst-16329	36	17	.	.	PUNCT
ajst-16329	37	1	confidence	confidence	NOUN
ajst-16329	37	2	is	be	AUX
ajst-16329	37	3	a	a	DET
ajst-16329	37	4	conditional	conditional	ADJ
ajst-16329	37	5	concept	concept	NOUN
ajst-16329	37	6	,	,	PUNCT
ajst-16329	37	7	which	which	PRON
ajst-16329	37	8	means	mean	VERB
ajst-16329	37	9	what	what	PRON
ajst-16329	37	10	is	be	AUX
ajst-16329	37	11	the	the	DET
ajst-16329	37	12	probability	probability	NOUN
ajst-16329	37	13	of	of	ADP
ajst-16329	37	14	y	y	PROPN
ajst-16329	37	15	occurring	occur	VERB
ajst-16329	37	16	in	in	ADP
ajst-16329	37	17	the	the	DET
ajst-16329	37	18	case	case	NOUN
ajst-16329	37	19	of	of	ADP
ajst-16329	37	20	x	x	PUNCT
ajst-16329	38	1	[	[	X
ajst-16329	38	2	11	11	NUM
ajst-16329	38	3	]	]	PUNCT
ajst-16329	38	4	.	.	PUNCT
ajst-16329	38	5	)	)	PUNCT
ajst-16329	38	6	(	(	PUNCT
ajst-16329	38	7	)	)	PUNCT
ajst-16329	38	8	(	(	PUNCT
ajst-16329	38	9	)	)	PUNCT
ajst-16329	38	10	|()(con	|()(con	PROPN
ajst-16329	38	11	xp	xp	INTJ
ajst-16329	38	12	xyp	xyp	PROPN
ajst-16329	38	13	xypyxfidence	xypyxfidence	PROPN
ajst-16329	38	14			PROPN
ajst-16329	38	15	(	(	PUNCT
ajst-16329	38	16	2	2	NUM
ajst-16329	38	17	)	)	PUNCT
ajst-16329	38	18	④minimum	④minimum	CCONJ
ajst-16329	38	19	support	support	NOUN
ajst-16329	38	20	and	and	CCONJ
ajst-16329	38	21	minimum	minimum	NOUN
ajst-16329	38	22	confidence	confidence	NOUN
ajst-16329	38	23	:	:	PUNCT
ajst-16329	38	24	usually	usually	ADV
ajst-16329	38	25	,	,	PUNCT
ajst-16329	38	26	users	user	NOUN
ajst-16329	38	27	need	need	VERB
ajst-16329	38	28	to	to	PART
ajst-16329	38	29	specify	specify	VERB
ajst-16329	38	30	the	the	DET
ajst-16329	38	31	support	support	NOUN
ajst-16329	38	32	and	and	CCONJ
ajst-16329	38	33	confidence	confidence	NOUN
ajst-16329	38	34	thresholds	threshold	VERB
ajst-16329	38	35	that	that	SCONJ
ajst-16329	38	36	the	the	DET
ajst-16329	38	37	rule	rule	NOUN
ajst-16329	38	38	must	must	AUX
ajst-16329	38	39	meet	meet	VERB
ajst-16329	38	40	in	in	ADP
ajst-16329	38	41	order	order	NOUN
ajst-16329	38	42	to	to	PART
ajst-16329	38	43	meet	meet	VERB
ajst-16329	38	44	certain	certain	ADJ
ajst-16329	38	45	requirements	requirement	NOUN
ajst-16329	38	46	.	.	PUNCT
ajst-16329	39	1	124	124	NUM
ajst-16329	39	2	when	when	SCONJ
ajst-16329	39	3	support	support	NOUN
ajst-16329	39	4	(	(	PUNCT
ajst-16329	39	5	x=>y	x=>y	PROPN
ajst-16329	39	6	)	)	PUNCT
ajst-16329	39	7	and	and	CCONJ
ajst-16329	39	8	confidence	confidence	NOUN
ajst-16329	39	9	(	(	PUNCT
ajst-16329	39	10	x=>y	x=>y	ADJ
ajst-16329	39	11	)	)	PUNCT
ajst-16329	39	12	are	be	AUX
ajst-16329	39	13	greater	great	ADJ
ajst-16329	39	14	than	than	ADP
ajst-16329	39	15	or	or	CCONJ
ajst-16329	39	16	equal	equal	ADJ
ajst-16329	39	17	to	to	ADP
ajst-16329	39	18	their	their	PRON
ajst-16329	39	19	respective	respective	ADJ
ajst-16329	39	20	threshold	threshold	NOUN
ajst-16329	39	21	values	value	NOUN
ajst-16329	39	22	,	,	PUNCT
ajst-16329	39	23	x=>y	x=>y	PROPN
ajst-16329	39	24	is	be	AUX
ajst-16329	39	25	considered	consider	VERB
ajst-16329	39	26	meaningful	meaningful	ADJ
ajst-16329	39	27	,	,	PUNCT
ajst-16329	39	28	and	and	CCONJ
ajst-16329	39	29	these	these	DET
ajst-16329	39	30	two	two	NUM
ajst-16329	39	31	values	value	NOUN
ajst-16329	39	32	are	be	AUX
ajst-16329	39	33	called	call	VERB
ajst-16329	39	34	the	the	DET
ajst-16329	39	35	minimum	minimum	ADJ
ajst-16329	39	36	support	support	NOUN
ajst-16329	39	37	threshold	threshold	NOUN
ajst-16329	39	38	(	(	PUNCT
ajst-16329	39	39	min_sup	min_sup	NOUN
ajst-16329	39	40	)	)	PUNCT
ajst-16329	39	41	and	and	CCONJ
ajst-16329	39	42	minimum	minimum	NOUN
ajst-16329	39	43	confidence	confidence	NOUN
ajst-16329	39	44	threshold	threshold	NOUN
ajst-16329	39	45	(	(	PUNCT
ajst-16329	39	46	min_conf	min_conf	NOUN
ajst-16329	39	47	)	)	PUNCT
ajst-16329	39	48	.	.	PUNCT
ajst-16329	40	1	among	among	ADP
ajst-16329	40	2	them	they	PRON
ajst-16329	40	3	,	,	PUNCT
ajst-16329	40	4	min	min	PROPN
ajst-16329	40	5	_	_	NOUN
ajst-16329	40	6	sup	sup	NOUN
ajst-16329	40	7	describes	describe	VERB
ajst-16329	40	8	the	the	DET
ajst-16329	40	9	minimum	minimum	ADJ
ajst-16329	40	10	importance	importance	NOUN
ajst-16329	40	11	level	level	NOUN
ajst-16329	40	12	of	of	ADP
ajst-16329	40	13	association	association	NOUN
ajst-16329	40	14	rules	rule	NOUN
ajst-16329	40	15	,	,	PUNCT
ajst-16329	40	16	min_conf	min_conf	NOUN
ajst-16329	40	17	specifies	specify	VERB
ajst-16329	40	18	the	the	DET
ajst-16329	40	19	minimum	minimum	ADJ
ajst-16329	40	20	reliability	reliability	NOUN
ajst-16329	40	21	that	that	PRON
ajst-16329	40	22	association	association	NOUN
ajst-16329	40	23	rules	rule	NOUN
ajst-16329	40	24	must	must	AUX
ajst-16329	40	25	meet	meet	VERB
ajst-16329	40	26	.	.	PUNCT
ajst-16329	41	1	2.2	2.2	NUM
ajst-16329	41	2	.	.	PUNCT
ajst-16329	42	1	main	main	ADJ
ajst-16329	42	2	steps	step	NOUN
ajst-16329	42	3	the	the	DET
ajst-16329	42	4	apriori	apriori	ADJ
ajst-16329	42	5	algorithm	algorithm	NOUN
ajst-16329	43	1	[	[	X
ajst-16329	43	2	8	8	NUM
ajst-16329	43	3	]	]	PUNCT
ajst-16329	43	4	is	be	AUX
ajst-16329	43	5	an	an	DET
ajst-16329	43	6	iterative	iterative	NOUN
ajst-16329	43	7	method	method	NOUN
ajst-16329	43	8	of	of	ADP
ajst-16329	43	9	layer	layer	NOUN
ajst-16329	43	10	by	by	ADP
ajst-16329	43	11	layer	layer	NOUN
ajst-16329	43	12	search	search	NOUN
ajst-16329	43	13	used	use	VERB
ajst-16329	43	14	to	to	PART
ajst-16329	43	15	explore	explore	VERB
ajst-16329	43	16	the	the	DET
ajst-16329	43	17	correlations	correlation	NOUN
ajst-16329	43	18	between	between	ADP
ajst-16329	43	19	datasets	dataset	NOUN
ajst-16329	43	20	.	.	PUNCT
ajst-16329	44	1	it	it	PRON
ajst-16329	44	2	first	first	ADV
ajst-16329	44	3	needs	need	VERB
ajst-16329	44	4	to	to	PART
ajst-16329	44	5	find	find	VERB
ajst-16329	44	6	the	the	DET
ajst-16329	44	7	set	set	VERB
ajst-16329	44	8	l1	l1	PROPN
ajst-16329	44	9	of	of	ADP
ajst-16329	44	10	frequent	frequent	ADJ
ajst-16329	44	11	1	1	NUM
ajst-16329	44	12	-	-	PUNCT
ajst-16329	44	13	itemsets	itemset	NOUN
ajst-16329	44	14	,	,	PUNCT
ajst-16329	44	15	then	then	ADV
ajst-16329	44	16	use	use	VERB
ajst-16329	44	17	l1	l1	PROPN
ajst-16329	44	18	to	to	PART
ajst-16329	44	19	find	find	VERB
ajst-16329	44	20	the	the	DET
ajst-16329	44	21	set	set	NOUN
ajst-16329	44	22	l2	l2	NOUN
ajst-16329	44	23	of	of	ADP
ajst-16329	44	24	frequent	frequent	ADJ
ajst-16329	44	25	2	2	NUM
ajst-16329	44	26	-	-	PUNCT
ajst-16329	44	27	itemsets	itemset	NOUN
ajst-16329	44	28	,	,	PUNCT
ajst-16329	44	29	and	and	CCONJ
ajst-16329	44	30	so	so	ADV
ajst-16329	44	31	on	on	ADV
ajst-16329	44	32	,	,	PUNCT
ajst-16329	44	33	until	until	SCONJ
ajst-16329	44	34	the	the	DET
ajst-16329	44	35	frequent	frequent	ADJ
ajst-16329	44	36	k	k	ADV
ajst-16329	44	37	-	-	PUNCT
ajst-16329	44	38	itemsets	itemset	NOUN
ajst-16329	44	39	can	can	AUX
ajst-16329	44	40	not	not	PART
ajst-16329	44	41	be	be	AUX
ajst-16329	44	42	found	find	VERB
ajst-16329	44	43	.	.	PUNCT
ajst-16329	45	1	there	there	PRON
ajst-16329	45	2	are	be	VERB
ajst-16329	45	3	two	two	NUM
ajst-16329	45	4	main	main	ADJ
ajst-16329	45	5	steps	step	NOUN
ajst-16329	45	6	in	in	ADP
ajst-16329	45	7	this	this	PRON
ajst-16329	45	8	,	,	PUNCT
ajst-16329	45	9	which	which	PRON
ajst-16329	45	10	are	be	AUX
ajst-16329	45	11	connecting	connect	VERB
ajst-16329	45	12	and	and	CCONJ
ajst-16329	45	13	pruning	prune	VERB
ajst-16329	45	14	.	.	PUNCT
ajst-16329	46	1	①connection	①connection	NOUN
ajst-16329	46	2	:	:	PUNCT
ajst-16329	46	3	using	use	VERB
ajst-16329	46	4	the	the	DET
ajst-16329	46	5	frequent	frequent	ADJ
ajst-16329	46	6	itemsets	itemset	NOUN
ajst-16329	46	7	of	of	ADP
ajst-16329	46	8	k	k	PROPN
ajst-16329	46	9	items	item	NOUN
ajst-16329	46	10	that	that	PRON
ajst-16329	46	11	have	have	AUX
ajst-16329	46	12	already	already	ADV
ajst-16329	46	13	been	be	AUX
ajst-16329	46	14	found	find	VERB
ajst-16329	46	15	,	,	PUNCT
ajst-16329	46	16	a	a	DET
ajst-16329	46	17	new	new	ADJ
ajst-16329	46	18	candidate	candidate	NOUN
ajst-16329	46	19	itemset	itemset	NOUN
ajst-16329	46	20	is	be	AUX
ajst-16329	46	21	obtained	obtain	VERB
ajst-16329	46	22	by	by	ADP
ajst-16329	46	23	pairwise	pairwise	NOUN
ajst-16329	46	24	combination	combination	NOUN
ajst-16329	46	25	connection	connection	NOUN
ajst-16329	46	26	.	.	PUNCT
ajst-16329	47	1	note	note	VERB
ajst-16329	47	2	that	that	SCONJ
ajst-16329	47	3	the	the	DET
ajst-16329	47	4	two	two	NUM
ajst-16329	47	5	different	different	ADJ
ajst-16329	47	6	frequent	frequent	ADJ
ajst-16329	47	7	itemsets	itemset	NOUN
ajst-16329	47	8	connected	connect	VERB
ajst-16329	47	9	at	at	ADP
ajst-16329	47	10	this	this	DET
ajst-16329	47	11	time	time	NOUN
ajst-16329	47	12	must	must	AUX
ajst-16329	47	13	have	have	VERB
ajst-16329	47	14	k-1	k-1	PROPN
ajst-16329	47	15	items	item	NOUN
ajst-16329	47	16	that	that	PRON
ajst-16329	47	17	are	be	AUX
ajst-16329	47	18	the	the	DET
ajst-16329	47	19	same	same	ADJ
ajst-16329	47	20	.	.	PUNCT
ajst-16329	48	1	②pruning	②prune	VERB
ajst-16329	48	2	:	:	PUNCT
ajst-16329	48	3	not	not	PART
ajst-16329	48	4	all	all	DET
ajst-16329	48	5	candidate	candidate	NOUN
ajst-16329	48	6	itemsets	itemset	NOUN
ajst-16329	48	7	obtained	obtain	VERB
ajst-16329	48	8	are	be	AUX
ajst-16329	48	9	frequent	frequent	ADJ
ajst-16329	48	10	itemsets	itemset	NOUN
ajst-16329	48	11	,	,	PUNCT
ajst-16329	48	12	and	and	CCONJ
ajst-16329	48	13	pruning	prune	VERB
ajst-16329	48	14	operations	operation	NOUN
ajst-16329	48	15	must	must	AUX
ajst-16329	48	16	be	be	AUX
ajst-16329	48	17	performed	perform	VERB
ajst-16329	48	18	to	to	PART
ajst-16329	48	19	obtain	obtain	VERB
ajst-16329	48	20	truly	truly	ADV
ajst-16329	48	21	frequent	frequent	ADJ
ajst-16329	48	22	itemsets	itemset	NOUN
ajst-16329	48	23	with	with	ADP
ajst-16329	48	24	candidate	candidate	NOUN
ajst-16329	48	25	support	support	NOUN
ajst-16329	48	26	greater	great	ADJ
ajst-16329	48	27	than	than	ADP
ajst-16329	48	28	the	the	DET
ajst-16329	48	29	minimum	minimum	NOUN
ajst-16329	48	30	support	support	NOUN
ajst-16329	48	31	.	.	PUNCT
ajst-16329	49	1	2.3	2.3	NUM
ajst-16329	49	2	.	.	PUNCT
ajst-16329	49	3	related	relate	VERB
ajst-16329	49	4	examples	example	NOUN
ajst-16329	49	5	the	the	DET
ajst-16329	49	6	itemset	itemset	NOUN
ajst-16329	49	7	processed	process	VERB
ajst-16329	49	8	by	by	ADP
ajst-16329	49	9	the	the	DET
ajst-16329	49	10	apriori	apriori	ADJ
ajst-16329	49	11	algorithm	algorithm	NOUN
ajst-16329	49	12	,	,	PUNCT
ajst-16329	49	13	if	if	SCONJ
ajst-16329	49	14	a	a	DET
ajst-16329	49	15	certain	certain	ADJ
ajst-16329	49	16	itemset	itemset	NOUN
ajst-16329	49	17	is	be	AUX
ajst-16329	49	18	frequent	frequent	ADJ
ajst-16329	49	19	,	,	PUNCT
ajst-16329	49	20	then	then	ADV
ajst-16329	49	21	all	all	DET
ajst-16329	49	22	its	its	PRON
ajst-16329	49	23	subsets	subset	NOUN
ajst-16329	49	24	are	be	AUX
ajst-16329	49	25	also	also	ADV
ajst-16329	49	26	frequent	frequent	ADJ
ajst-16329	49	27	.	.	PUNCT
ajst-16329	50	1	specific	specific	ADJ
ajst-16329	50	2	examples	example	NOUN
ajst-16329	50	3	are	be	AUX
ajst-16329	50	4	shown	show	VERB
ajst-16329	50	5	in	in	ADP
ajst-16329	50	6	figure	figure	NOUN
ajst-16329	50	7	2	2	NUM
ajst-16329	50	8	figure	figure	NOUN
ajst-16329	50	9	1	1	NUM
ajst-16329	50	10	.	.	PUNCT
ajst-16329	50	11	related	relate	VERB
ajst-16329	50	12	examples	example	NOUN
ajst-16329	50	13	there	there	PRON
ajst-16329	50	14	are	be	VERB
ajst-16329	50	15	a	a	DET
ajst-16329	50	16	total	total	NOUN
ajst-16329	50	17	of	of	ADP
ajst-16329	50	18	4	4	NUM
ajst-16329	50	19	records	record	NOUN
ajst-16329	50	20	in	in	ADP
ajst-16329	50	21	the	the	DET
ajst-16329	50	22	dataset	dataset	NOUN
ajst-16329	50	23	,	,	PUNCT
ajst-16329	50	24	namely	namely	ADV
ajst-16329	50	25	{	{	PUNCT
ajst-16329	50	26	1,3,4	1,3,4	NUM
ajst-16329	50	27	}	}	PUNCT
ajst-16329	50	28	,	,	PUNCT
ajst-16329	50	29	{	{	PUNCT
ajst-16329	50	30	2,3,5	2,3,5	NUM
ajst-16329	50	31	}	}	PUNCT
ajst-16329	50	32	,	,	PUNCT
ajst-16329	50	33	{	{	PUNCT
ajst-16329	50	34	1,2,3,5	1,2,3,5	NUM
ajst-16329	50	35	}	}	PUNCT
ajst-16329	50	36	,	,	PUNCT
ajst-16329	50	37	and	and	CCONJ
ajst-16329	50	38	{	{	PUNCT
ajst-16329	50	39	2,5	2,5	NUM
ajst-16329	50	40	}	}	PUNCT
ajst-16329	50	41	.	.	PUNCT
ajst-16329	51	1	the	the	DET
ajst-16329	51	2	minimum	minimum	ADJ
ajst-16329	51	3	support	support	NOUN
ajst-16329	51	4	threshold	threshold	NOUN
ajst-16329	51	5	(	(	PUNCT
ajst-16329	51	6	min_sup	min_sup	NOUN
ajst-16329	51	7	)	)	PUNCT
ajst-16329	51	8	is	be	AUX
ajst-16329	51	9	set	set	VERB
ajst-16329	51	10	to	to	ADP
ajst-16329	51	11	50	50	NUM
ajst-16329	51	12	%	%	NOUN
ajst-16329	51	13	①	①	NUM
ajst-16329	51	14	generate	generate	VERB
ajst-16329	51	15	candidate	candidate	NOUN
ajst-16329	51	16	frequent	frequent	ADJ
ajst-16329	51	17	itemsets	itemset	NOUN
ajst-16329	51	18	for	for	ADP
ajst-16329	51	19	the	the	DET
ajst-16329	51	20	dataset	dataset	NOUN
ajst-16329	51	21	and	and	CCONJ
ajst-16329	51	22	calculate	calculate	VERB
ajst-16329	51	23	their	their	PRON
ajst-16329	51	24	respective	respective	ADJ
ajst-16329	51	25	support	support	NOUN
ajst-16329	51	26	levels	level	NOUN
ajst-16329	51	27	(	(	PUNCT
ajst-16329	51	28	4	4	NUM
ajst-16329	51	29	records	record	NOUN
ajst-16329	51	30	,	,	PUNCT
ajst-16329	51	31	where	where	SCONJ
ajst-16329	51	32	1	1	NUM
ajst-16329	51	33	,	,	PUNCT
ajst-16329	51	34	2	2	NUM
ajst-16329	51	35	,	,	PUNCT
ajst-16329	51	36	3	3	NUM
ajst-16329	51	37	,	,	PUNCT
ajst-16329	51	38	4	4	NUM
ajst-16329	51	39	,	,	PUNCT
ajst-16329	51	40	and	and	CCONJ
ajst-16329	51	41	5	5	NUM
ajst-16329	51	42	appear	appear	VERB
ajst-16329	51	43	as	as	ADP
ajst-16329	51	44	2	2	NUM
ajst-16329	51	45	,	,	PUNCT
ajst-16329	51	46	3	3	NUM
ajst-16329	51	47	,	,	PUNCT
ajst-16329	51	48	3	3	NUM
ajst-16329	51	49	,	,	PUNCT
ajst-16329	51	50	1	1	NUM
ajst-16329	51	51	,	,	PUNCT
ajst-16329	51	52	and	and	CCONJ
ajst-16329	51	53	3	3	NUM
ajst-16329	51	54	respectively	respectively	ADV
ajst-16329	51	55	)	)	PUNCT
ajst-16329	51	56	②	②	NUM
ajst-16329	51	57	cut	cut	VERB
ajst-16329	51	58	out	out	ADP
ajst-16329	51	59	candidate	candidate	NOUN
ajst-16329	51	60	frequent	frequent	ADJ
ajst-16329	51	61	items	item	NOUN
ajst-16329	51	62	with	with	ADP
ajst-16329	51	63	support	support	NOUN
ajst-16329	51	64	less	less	ADJ
ajst-16329	51	65	than	than	ADP
ajst-16329	51	66	50	50	NUM
ajst-16329	51	67	%	%	NOUN
ajst-16329	51	68	,	,	PUNCT
ajst-16329	51	69	and	and	CCONJ
ajst-16329	51	70	combine	combine	VERB
ajst-16329	51	71	the	the	DET
ajst-16329	51	72	remaining	remain	VERB
ajst-16329	51	73	frequent	frequent	ADJ
ajst-16329	51	74	itemsets	itemset	NOUN
ajst-16329	51	75	pairwise	pairwise	NOUN
ajst-16329	51	76	to	to	PART
ajst-16329	51	77	generate	generate	VERB
ajst-16329	51	78	candidate	candidate	NOUN
ajst-16329	51	79	frequent	frequent	ADJ
ajst-16329	51	80	2	2	NUM
ajst-16329	51	81	-	-	PUNCT
ajst-16329	51	82	itemsets	itemset	NOUN
ajst-16329	51	83	(	(	PUNCT
ajst-16329	51	84	combine	combine	VERB
ajst-16329	51	85	the	the	DET
ajst-16329	51	86	remaining	remain	VERB
ajst-16329	51	87	itemsets	itemset	NOUN
ajst-16329	51	88	by	by	ADP
ajst-16329	51	89	pruning	prune	VERB
ajst-16329	51	90	according	accord	VERB
ajst-16329	51	91	to	to	ADP
ajst-16329	51	92	step	step	NOUN
ajst-16329	51	93	①	①	NUM
ajst-16329	51	94	)	)	PUNCT
ajst-16329	51	95	.	.	PUNCT
ajst-16329	52	1	at	at	ADP
ajst-16329	52	2	this	this	DET
ajst-16329	52	3	point	point	NOUN
ajst-16329	52	4	,	,	PUNCT
ajst-16329	52	5	the	the	DET
ajst-16329	52	6	first	first	ADJ
ajst-16329	52	7	round	round	NOUN
ajst-16329	52	8	of	of	ADP
ajst-16329	52	9	iteration	iteration	NOUN
ajst-16329	52	10	ends	end	VERB
ajst-16329	52	11	③	③	PRON
ajst-16329	52	12	enter	enter	VERB
ajst-16329	52	13	the	the	DET
ajst-16329	52	14	second	second	ADJ
ajst-16329	52	15	iteration	iteration	NOUN
ajst-16329	52	16	and	and	CCONJ
ajst-16329	52	17	calculate	calculate	VERB
ajst-16329	52	18	the	the	DET
ajst-16329	52	19	support	support	NOUN
ajst-16329	52	20	levels	level	NOUN
ajst-16329	52	21	for	for	ADP
ajst-16329	52	22	the	the	DET
ajst-16329	52	23	generated	generate	VERB
ajst-16329	52	24	frequent	frequent	ADJ
ajst-16329	52	25	2	2	NUM
ajst-16329	52	26	-	-	PUNCT
ajst-16329	52	27	item	item	NOUN
ajst-16329	52	28	sets	set	NOUN
ajst-16329	52	29	④cut	④cut	VERB
ajst-16329	52	30	out	out	ADP
ajst-16329	52	31	candidate	candidate	NOUN
ajst-16329	52	32	frequent	frequent	ADJ
ajst-16329	52	33	items	item	NOUN
ajst-16329	52	34	with	with	ADP
ajst-16329	52	35	support	support	NOUN
ajst-16329	52	36	less	less	ADJ
ajst-16329	52	37	than	than	ADP
ajst-16329	52	38	50	50	NUM
ajst-16329	52	39	%	%	NOUN
ajst-16329	52	40	,	,	PUNCT
ajst-16329	52	41	and	and	CCONJ
ajst-16329	52	42	combine	combine	VERB
ajst-16329	52	43	the	the	DET
ajst-16329	52	44	remaining	remain	VERB
ajst-16329	52	45	frequent	frequent	ADJ
ajst-16329	52	46	itemsets	itemset	NOUN
ajst-16329	52	47	in	in	ADP
ajst-16329	52	48	pairs	pair	NOUN
ajst-16329	52	49	to	to	PART
ajst-16329	52	50	generate	generate	VERB
ajst-16329	52	51	candidate	candidate	NOUN
ajst-16329	52	52	frequent	frequent	ADJ
ajst-16329	52	53	itemsets	itemset	NOUN
ajst-16329	52	54	of	of	ADP
ajst-16329	52	55	3	3	NUM
ajst-16329	52	56	.	.	PUNCT
ajst-16329	53	1	at	at	ADP
ajst-16329	53	2	this	this	DET
ajst-16329	53	3	point	point	NOUN
ajst-16329	53	4	,	,	PUNCT
ajst-16329	53	5	the	the	DET
ajst-16329	53	6	second	second	ADJ
ajst-16329	53	7	round	round	NOUN
ajst-16329	53	8	of	of	ADP
ajst-16329	53	9	iteration	iteration	NOUN
ajst-16329	53	10	ends	end	VERB
ajst-16329	53	11	⑤	⑤	PRON
ajst-16329	53	12	entering	enter	VERB
ajst-16329	53	13	the	the	DET
ajst-16329	53	14	third	third	ADJ
ajst-16329	53	15	round	round	NOUN
ajst-16329	53	16	of	of	ADP
ajst-16329	53	17	iteration	iteration	NOUN
ajst-16329	53	18	,	,	PUNCT
ajst-16329	53	19	for	for	ADP
ajst-16329	53	20	the	the	DET
ajst-16329	53	21	candidate	candidate	NOUN
ajst-16329	53	22	frequent	frequent	ADJ
ajst-16329	53	23	3	3	NUM
ajst-16329	53	24	-	-	PUNCT
ajst-16329	53	25	itemset	itemset	NOUN
ajst-16329	53	26	,	,	PUNCT
ajst-16329	53	27	calculate	calculate	VERB
ajst-16329	53	28	the	the	DET
ajst-16329	53	29	support	support	NOUN
ajst-16329	53	30	for	for	ADP
ajst-16329	53	31	each	each	DET
ajst-16329	53	32	item	item	NOUN
ajst-16329	53	33	,	,	PUNCT
ajst-16329	53	34	trim	trim	VERB
ajst-16329	53	35	out	out	ADP
ajst-16329	53	36	itemsets	itemset	NOUN
ajst-16329	53	37	less	less	ADJ
ajst-16329	53	38	than	than	ADP
ajst-16329	53	39	50	50	NUM
ajst-16329	53	40	%	%	NOUN
ajst-16329	53	41	,	,	PUNCT
ajst-16329	53	42	and	and	CCONJ
ajst-16329	53	43	finally	finally	ADV
ajst-16329	53	44	leave	leave	VERB
ajst-16329	53	45	{	{	PUNCT
ajst-16329	53	46	2,3,5	2,3,5	NUM
ajst-16329	53	47	}	}	PUNCT
ajst-16329	53	48	.	.	PUNCT
ajst-16329	54	1	at	at	ADP
ajst-16329	54	2	this	this	DET
ajst-16329	54	3	point	point	NOUN
ajst-16329	54	4	,	,	PUNCT
ajst-16329	54	5	the	the	DET
ajst-16329	54	6	number	number	NOUN
ajst-16329	54	7	of	of	ADP
ajst-16329	54	8	frequent	frequent	ADJ
ajst-16329	54	9	items	item	NOUN
ajst-16329	54	10	is	be	AUX
ajst-16329	54	11	1	1	NUM
ajst-16329	54	12	,	,	PUNCT
ajst-16329	54	13	and	and	CCONJ
ajst-16329	54	14	generating	generate	VERB
ajst-16329	54	15	candidate	candidate	NOUN
ajst-16329	54	16	frequent	frequent	ADJ
ajst-16329	54	17	4	4	NUM
ajst-16329	54	18	-	-	PUNCT
ajst-16329	54	19	itemsets	itemset	NOUN
ajst-16329	54	20	is	be	AUX
ajst-16329	54	21	not	not	PART
ajst-16329	54	22	supported	support	VERB
ajst-16329	54	23	.	.	PUNCT
ajst-16329	55	1	the	the	DET
ajst-16329	55	2	iteration	iteration	NOUN
ajst-16329	55	3	ends	end	VERB
ajst-16329	55	4	.	.	PUNCT
ajst-16329	56	1	3	3	X
ajst-16329	56	2	.	.	X
ajst-16329	56	3	empirical	empirical	ADJ
ajst-16329	56	4	results	result	NOUN
ajst-16329	56	5	3.1	3.1	NUM
ajst-16329	56	6	.	.	PUNCT
ajst-16329	56	7	data	datum	NOUN
ajst-16329	56	8	acquisition	acquisition	NOUN
ajst-16329	56	9	air	air	PROPN
ajst-16329	56	10	quality	quality	PROPN
ajst-16329	56	11	index	index	NOUN
ajst-16329	56	12	(	(	PUNCT
ajst-16329	56	13	aqi	aqi	PROPN
ajst-16329	56	14	)	)	PUNCT
ajst-16329	57	1	[	[	X
ajst-16329	57	2	4	4	X
ajst-16329	57	3	]	]	PUNCT
ajst-16329	57	4	is	be	AUX
ajst-16329	57	5	a	a	DET
ajst-16329	57	6	parameter	parameter	NOUN
ajst-16329	57	7	that	that	PRON
ajst-16329	57	8	reflects	reflect	VERB
ajst-16329	57	9	the	the	DET
ajst-16329	57	10	daily	daily	ADJ
ajst-16329	57	11	air	air	NOUN
ajst-16329	57	12	quality	quality	NOUN
ajst-16329	57	13	.	.	PUNCT
ajst-16329	58	1	it	it	PRON
ajst-16329	58	2	is	be	AUX
ajst-16329	58	3	calculated	calculate	VERB
ajst-16329	58	4	based	base	VERB
ajst-16329	58	5	on	on	ADP
ajst-16329	58	6	the	the	DET
ajst-16329	58	7	measured	measure	VERB
ajst-16329	58	8	concentration	concentration	NOUN
ajst-16329	58	9	values	value	NOUN
ajst-16329	58	10	of	of	ADP
ajst-16329	58	11	various	various	ADJ
ajst-16329	58	12	pollutants	pollutant	NOUN
ajst-16329	58	13	(	(	PUNCT
ajst-16329	58	14	e.g.	e.g.	ADV
ajst-16329	58	15	,	,	PUNCT
ajst-16329	58	16	fine	fine	ADJ
ajst-16329	58	17	particulate	particulate	NOUN
ajst-16329	58	18	matter	matter	NOUN
ajst-16329	58	19	(	(	PUNCT
ajst-16329	58	20	pm2.5	pm2.5	NUM
ajst-16329	58	21	)	)	PUNCT
ajst-16329	58	22	,	,	PUNCT
ajst-16329	58	23	respirable	respirable	ADJ
ajst-16329	58	24	particulate	particulate	NOUN
ajst-16329	58	25	matter	matter	NOUN
ajst-16329	58	26	(	(	PUNCT
ajst-16329	58	27	pm10	pm10	PROPN
ajst-16329	58	28	)	)	PUNCT
ajst-16329	58	29	,	,	PUNCT
ajst-16329	58	30	sulfur	sulfur	NOUN
ajst-16329	58	31	dioxide	dioxide	NOUN
ajst-16329	58	32	(	(	PUNCT
ajst-16329	58	33	so2	so2	PROPN
ajst-16329	58	34	)	)	PUNCT
ajst-16329	58	35	,	,	PUNCT
ajst-16329	58	36	nitrogen	nitrogen	NOUN
ajst-16329	58	37	dioxide	dioxide	NOUN
ajst-16329	58	38	(	(	PUNCT
ajst-16329	58	39	no2	no2	NOUN
ajst-16329	58	40	)	)	PUNCT
ajst-16329	58	41	,	,	PUNCT
ajst-16329	58	42	ozone	ozone	NOUN
ajst-16329	58	43	(	(	PUNCT
ajst-16329	58	44	o3	o3	PROPN
ajst-16329	58	45	)	)	PUNCT
ajst-16329	58	46	,	,	PUNCT
ajst-16329	58	47	carbon	carbon	NOUN
ajst-16329	58	48	monoxide	monoxide	NOUN
ajst-16329	58	49	(	(	PUNCT
ajst-16329	58	50	co	co	NOUN
ajst-16329	58	51	)	)	PUNCT
ajst-16329	58	52	,	,	PUNCT
ajst-16329	58	53	etc	etc	X
ajst-16329	58	54	.	.	X
ajst-16329	58	55	)	)	PUNCT
ajst-16329	58	56	.	.	PUNCT
ajst-16329	59	1	the	the	DET
ajst-16329	59	2	air	air	NOUN
ajst-16329	59	3	quality	quality	PROPN
ajst-16329	59	4	measurement	measurement	NOUN
ajst-16329	59	5	data	datum	NOUN
ajst-16329	59	6	are	be	AUX
ajst-16329	59	7	available	available	ADJ
ajst-16329	59	8	on	on	ADP
ajst-16329	59	9	the	the	DET
ajst-16329	59	10	air	air	NOUN
ajst-16329	59	11	quality	quality	NOUN
ajst-16329	59	12	monitoring	monitoring	NOUN
ajst-16329	59	13	and	and	CCONJ
ajst-16329	59	14	analysis	analysis	NOUN
ajst-16329	59	15	platform	platform	NOUN
ajst-16329	59	16	(	(	PUNCT
ajst-16329	59	17	aqma	aqma	ADJ
ajst-16329	59	18	)	)	PUNCT
ajst-16329	59	19	for	for	ADP
ajst-16329	59	20	each	each	DET
ajst-16329	59	21	time	time	NOUN
ajst-16329	59	22	period	period	NOUN
ajst-16329	59	23	.	.	PUNCT
ajst-16329	60	1	3.2	3.2	NUM
ajst-16329	60	2	.	.	PUNCT
ajst-16329	61	1	data	datum	NOUN
ajst-16329	61	2	processing	processing	NOUN
ajst-16329	61	3	due	due	ADP
ajst-16329	61	4	to	to	ADP
ajst-16329	61	5	the	the	DET
ajst-16329	61	6	presence	presence	NOUN
ajst-16329	61	7	of	of	ADP
ajst-16329	61	8	some	some	DET
ajst-16329	61	9	empty	empty	ADJ
ajst-16329	61	10	values	value	NOUN
ajst-16329	61	11	in	in	ADP
ajst-16329	61	12	the	the	DET
ajst-16329	61	13	obtained	obtain	VERB
ajst-16329	61	14	data	datum	NOUN
ajst-16329	61	15	,	,	PUNCT
ajst-16329	61	16	it	it	PRON
ajst-16329	61	17	is	be	AUX
ajst-16329	61	18	necessary	necessary	ADJ
ajst-16329	61	19	to	to	PART
ajst-16329	61	20	process	process	VERB
ajst-16329	61	21	the	the	DET
ajst-16329	61	22	data	datum	NOUN
ajst-16329	61	23	.	.	PUNCT
ajst-16329	62	1	the	the	DET
ajst-16329	62	2	main	main	ADJ
ajst-16329	62	3	processing	processing	NOUN
ajst-16329	62	4	methods	method	NOUN
ajst-16329	62	5	include	include	VERB
ajst-16329	62	6	:	:	PUNCT
ajst-16329	62	7	supplementing	supplement	VERB
ajst-16329	62	8	with	with	ADP
ajst-16329	62	9	the	the	DET
ajst-16329	62	10	last	last	ADJ
ajst-16329	62	11	value	value	NOUN
ajst-16329	62	12	,	,	PUNCT
ajst-16329	62	13	supplementing	supplement	VERB
ajst-16329	62	14	with	with	ADP
ajst-16329	62	15	the	the	DET
ajst-16329	62	16	first	first	ADJ
ajst-16329	62	17	value	value	NOUN
ajst-16329	62	18	,	,	PUNCT
ajst-16329	62	19	supplementing	supplement	VERB
ajst-16329	62	20	with	with	ADP
ajst-16329	62	21	the	the	DET
ajst-16329	62	22	average	average	ADJ
ajst-16329	62	23	value	value	NOUN
ajst-16329	62	24	,	,	PUNCT
ajst-16329	62	25	and	and	CCONJ
ajst-16329	62	26	removing	remove	VERB
ajst-16329	62	27	all	all	DET
ajst-16329	62	28	data	datum	NOUN
ajst-16329	62	29	in	in	ADP
ajst-16329	62	30	the	the	DET
ajst-16329	62	31	row	row	NOUN
ajst-16329	62	32	where	where	SCONJ
ajst-16329	62	33	the	the	DET
ajst-16329	62	34	empty	empty	ADJ
ajst-16329	62	35	values	value	NOUN
ajst-16329	62	36	are	be	AUX
ajst-16329	62	37	located	locate	VERB
ajst-16329	62	38	.	.	PUNCT
ajst-16329	63	1	this	this	DET
ajst-16329	63	2	article	article	NOUN
ajst-16329	63	3	chooses	choose	VERB
ajst-16329	63	4	the	the	DET
ajst-16329	63	5	processing	processing	NOUN
ajst-16329	63	6	method	method	NOUN
ajst-16329	63	7	of	of	ADP
ajst-16329	63	8	removing	remove	VERB
ajst-16329	63	9	all	all	DET
ajst-16329	63	10	data	datum	NOUN
ajst-16329	63	11	in	in	ADP
ajst-16329	63	12	the	the	DET
ajst-16329	63	13	row	row	NOUN
ajst-16329	63	14	where	where	SCONJ
ajst-16329	63	15	the	the	DET
ajst-16329	63	16	null	null	ADJ
ajst-16329	63	17	value	value	NOUN
ajst-16329	63	18	is	be	AUX
ajst-16329	63	19	located	locate	VERB
ajst-16329	63	20	.	.	PUNCT
ajst-16329	64	1	the	the	DET
ajst-16329	64	2	processing	processing	NOUN
ajst-16329	64	3	effect	effect	NOUN
ajst-16329	64	4	is	be	AUX
ajst-16329	64	5	shown	show	VERB
ajst-16329	64	6	in	in	ADP
ajst-16329	64	7	figure	figure	NOUN
ajst-16329	64	8	2	2	NUM
ajst-16329	64	9	and	and	CCONJ
ajst-16329	64	10	figure	figure	VERB
ajst-16329	64	11	3	3	NUM
ajst-16329	64	12	.	.	NOUN
ajst-16329	64	13	125	125	NUM
ajst-16329	64	14	figure	figure	NOUN
ajst-16329	64	15	2	2	NUM
ajst-16329	64	16	.	.	PUNCT
ajst-16329	64	17	pre	pre	VERB
ajst-16329	64	18	processing	processing	NOUN
ajst-16329	64	19	data	datum	NOUN
ajst-16329	64	20	figure	figure	NOUN
ajst-16329	64	21	3	3	NUM
ajst-16329	64	22	.	.	PUNCT
ajst-16329	64	23	processed	process	VERB
ajst-16329	64	24	data	datum	NOUN
ajst-16329	64	25	in	in	ADP
ajst-16329	64	26	addition	addition	NOUN
ajst-16329	64	27	,	,	PUNCT
ajst-16329	64	28	in	in	ADP
ajst-16329	64	29	order	order	NOUN
ajst-16329	64	30	to	to	PART
ajst-16329	64	31	provide	provide	VERB
ajst-16329	64	32	the	the	DET
ajst-16329	64	33	association	association	NOUN
ajst-16329	64	34	set	set	VERB
ajst-16329	64	35	for	for	ADP
ajst-16329	64	36	the	the	DET
ajst-16329	64	37	apriori	apriori	ADJ
ajst-16329	64	38	algorithm	algorithm	NOUN
ajst-16329	64	39	,	,	PUNCT
ajst-16329	64	40	further	further	ADJ
ajst-16329	64	41	processing	processing	NOUN
ajst-16329	64	42	of	of	ADP
ajst-16329	64	43	the	the	DET
ajst-16329	64	44	data	data	NOUN
ajst-16329	64	45	is	be	AUX
ajst-16329	64	46	required	require	VERB
ajst-16329	64	47	.	.	PUNCT
ajst-16329	65	1	the	the	DET
ajst-16329	65	2	processing	processing	NOUN
ajst-16329	65	3	method	method	NOUN
ajst-16329	65	4	is	be	AUX
ajst-16329	65	5	to	to	PART
ajst-16329	65	6	synthesize	synthesize	VERB
ajst-16329	65	7	the	the	DET
ajst-16329	65	8	data	datum	NOUN
ajst-16329	65	9	that	that	PRON
ajst-16329	65	10	continuously	continuously	ADV
ajst-16329	65	11	changes	change	VERB
ajst-16329	65	12	the	the	DET
ajst-16329	65	13	variables	variable	NOUN
ajst-16329	65	14	within	within	ADP
ajst-16329	65	15	the	the	DET
ajst-16329	65	16	same	same	ADJ
ajst-16329	65	17	time	time	NOUN
ajst-16329	65	18	period	period	NOUN
ajst-16329	65	19	,	,	PUNCT
ajst-16329	65	20	and	and	CCONJ
ajst-16329	65	21	then	then	ADV
ajst-16329	65	22	generate	generate	VERB
ajst-16329	65	23	the	the	DET
ajst-16329	65	24	data	datum	NOUN
ajst-16329	65	25	set	set	VERB
ajst-16329	65	26	required	require	VERB
ajst-16329	65	27	by	by	ADP
ajst-16329	65	28	the	the	DET
ajst-16329	65	29	apriori	apriori	ADJ
ajst-16329	65	30	algorithm	algorithm	NOUN
ajst-16329	65	31	.	.	PUNCT
ajst-16329	66	1	figure	figure	NOUN
ajst-16329	66	2	4	4	NUM
ajst-16329	66	3	.	.	PUNCT
ajst-16329	67	1	algorithm	algorithm	PROPN
ajst-16329	67	2	flowchart	flowchart	NOUN
ajst-16329	67	3	3.3	3.3	NUM
ajst-16329	67	4	.	.	PUNCT
ajst-16329	68	1	apriori	apriori	PROPN
ajst-16329	68	2	algorithm	algorithm	PROPN
ajst-16329	68	3	use	use	VERB
ajst-16329	68	4	the	the	DET
ajst-16329	68	5	apriori	apriori	ADJ
ajst-16329	68	6	algorithm	algorithm	NOUN
ajst-16329	68	7	to	to	PART
ajst-16329	68	8	find	find	VERB
ajst-16329	68	9	the	the	DET
ajst-16329	68	10	relevant	relevant	ADJ
ajst-16329	68	11	variables	variable	NOUN
ajst-16329	68	12	in	in	ADP
ajst-16329	68	13	the	the	DET
ajst-16329	68	14	generated	generate	VERB
ajst-16329	68	15	correlation	correlation	NOUN
ajst-16329	68	16	set	set	NOUN
ajst-16329	68	17	,	,	PUNCT
ajst-16329	68	18	set	set	VERB
ajst-16329	68	19	the	the	DET
ajst-16329	68	20	minimum	minimum	ADJ
ajst-16329	68	21	support	support	NOUN
ajst-16329	68	22	to	to	ADP
ajst-16329	68	23	0.01	0.01	NUM
ajst-16329	68	24	,	,	PUNCT
ajst-16329	68	25	and	and	CCONJ
ajst-16329	68	26	first	first	ADV
ajst-16329	68	27	perform	perform	VERB
ajst-16329	68	28	correlation	correlation	NOUN
ajst-16329	68	29	analysis	analysis	NOUN
ajst-16329	68	30	on	on	ADP
ajst-16329	68	31	the	the	DET
ajst-16329	68	32	data	data	NOUN
ajst-16329	68	33	variable	variable	NOUN
ajst-16329	68	34	set	set	NOUN
ajst-16329	68	35	of	of	ADP
ajst-16329	68	36	one	one	NUM
ajst-16329	68	37	time	time	NOUN
ajst-16329	68	38	period	period	NOUN
ajst-16329	68	39	figure	figure	NOUN
ajst-16329	68	40	5	5	NUM
ajst-16329	68	41	.	.	PUNCT
ajst-16329	69	1	correlation	correlation	NOUN
ajst-16329	69	2	results	result	NOUN
ajst-16329	69	3	for	for	ADP
ajst-16329	69	4	partial	partial	ADJ
ajst-16329	69	5	time	time	NOUN
ajst-16329	69	6	periods	period	NOUN
ajst-16329	69	7	as	as	SCONJ
ajst-16329	69	8	shown	show	VERB
ajst-16329	69	9	in	in	ADP
ajst-16329	69	10	figure	figure	NOUN
ajst-16329	69	11	5	5	NUM
ajst-16329	69	12	,	,	PUNCT
ajst-16329	69	13	the	the	DET
ajst-16329	69	14	relationship	relationship	NOUN
ajst-16329	69	15	between	between	ADP
ajst-16329	69	16	aqi	aqi	PROPN
ajst-16329	69	17	and	and	CCONJ
ajst-16329	69	18	pm2.5	pm2.5	NOUN
ajst-16329	69	19	,	,	PUNCT
ajst-16329	69	20	pm10	pm10	PROPN
ajst-16329	69	21	,	,	PUNCT
ajst-16329	69	22	no2	no2	PROPN
ajst-16329	69	23	,	,	PUNCT
ajst-16329	69	24	o3	o3	PROPN
ajst-16329	69	25	is	be	AUX
ajst-16329	69	26	relatively	relatively	ADV
ajst-16329	69	27	close	close	ADJ
ajst-16329	69	28	.	.	PUNCT
ajst-16329	70	1	next	next	ADV
ajst-16329	70	2	,	,	PUNCT
ajst-16329	70	3	the	the	DET
ajst-16329	70	4	minimum	minimum	ADJ
ajst-16329	70	5	support	support	NOUN
ajst-16329	70	6	level	level	NOUN
ajst-16329	70	7	is	be	AUX
ajst-16329	70	8	still	still	ADV
ajst-16329	70	9	set	set	VERB
ajst-16329	70	10	to	to	ADP
ajst-16329	70	11	0.01	0.01	NUM
ajst-16329	70	12	,	,	PUNCT
ajst-16329	70	13	and	and	CCONJ
ajst-16329	70	14	data	datum	NOUN
ajst-16329	70	15	from	from	ADP
ajst-16329	70	16	other	other	ADJ
ajst-16329	70	17	time	time	NOUN
ajst-16329	70	18	periods	period	NOUN
ajst-16329	70	19	are	be	AUX
ajst-16329	70	20	analyzed	analyze	VERB
ajst-16329	70	21	.	.	PUNCT
ajst-16329	71	1	as	as	SCONJ
ajst-16329	71	2	shown	show	VERB
ajst-16329	71	3	in	in	ADP
ajst-16329	71	4	figure	figure	NOUN
ajst-16329	71	5	6	6	NUM
ajst-16329	71	6	,	,	PUNCT
ajst-16329	71	7	the	the	DET
ajst-16329	71	8	relationship	relationship	NOUN
ajst-16329	71	9	between	between	ADP
ajst-16329	71	10	aqi	aqi	PROPN
ajst-16329	71	11	and	and	CCONJ
ajst-16329	71	12	pm2.5	pm2.5	NOUN
ajst-16329	71	13	,	,	PUNCT
ajst-16329	71	14	pm10	pm10	PROPN
ajst-16329	71	15	,	,	PUNCT
ajst-16329	71	16	no2	no2	PROPN
ajst-16329	71	17	,	,	PUNCT
ajst-16329	71	18	o3	o3	PROPN
ajst-16329	71	19	is	be	AUX
ajst-16329	71	20	still	still	ADV
ajst-16329	71	21	close	close	ADJ
ajst-16329	71	22	.	.	PUNCT
ajst-16329	72	1	figure	figure	NOUN
ajst-16329	72	2	6	6	NUM
ajst-16329	72	3	.	.	PUNCT
ajst-16329	73	1	correlation	correlation	NOUN
ajst-16329	73	2	results	result	NOUN
ajst-16329	73	3	for	for	ADP
ajst-16329	73	4	other	other	ADJ
ajst-16329	73	5	time	time	NOUN
ajst-16329	73	6	periods	period	NOUN
ajst-16329	73	7	finally	finally	ADV
ajst-16329	73	8	,	,	PUNCT
ajst-16329	73	9	it	it	PRON
ajst-16329	73	10	can	can	AUX
ajst-16329	73	11	be	be	AUX
ajst-16329	73	12	concluded	conclude	VERB
ajst-16329	73	13	that	that	SCONJ
ajst-16329	73	14	aqi	aqi	PROPN
ajst-16329	73	15	is	be	AUX
ajst-16329	73	16	closely	closely	ADV
ajst-16329	73	17	related	relate	VERB
ajst-16329	73	18	to	to	ADP
ajst-16329	73	19	pm2.5	pm2.5	NUM
ajst-16329	73	20	,	,	PUNCT
ajst-16329	73	21	pm10	pm10	PROPN
ajst-16329	73	22	,	,	PUNCT
ajst-16329	73	23	no2	no2	PROPN
ajst-16329	73	24	,	,	PUNCT
ajst-16329	73	25	o3	o3	PROPN
ajst-16329	73	26	.	.	PUNCT
ajst-16329	74	1	4	4	X
ajst-16329	74	2	.	.	X
ajst-16329	74	3	conclusion	conclusion	NOUN
ajst-16329	74	4	this	this	DET
ajst-16329	74	5	paper	paper	NOUN
ajst-16329	74	6	analyzes	analyze	VERB
ajst-16329	74	7	air	air	NOUN
ajst-16329	74	8	quality	quality	NOUN
ajst-16329	74	9	test	test	NOUN
ajst-16329	74	10	data	datum	NOUN
ajst-16329	74	11	and	and	CCONJ
ajst-16329	74	12	explores	explore	VERB
ajst-16329	74	13	the	the	DET
ajst-16329	74	14	correlation	correlation	NOUN
ajst-16329	74	15	between	between	ADP
ajst-16329	74	16	air	air	NOUN
ajst-16329	74	17	pollutants	pollutant	NOUN
ajst-16329	74	18	and	and	CCONJ
ajst-16329	74	19	aqi	aqi	NOUN
ajst-16329	74	20	using	use	VERB
ajst-16329	74	21	apriori	apriori	ADJ
ajst-16329	74	22	algorithm	algorithm	NOUN
ajst-16329	74	23	to	to	PART
ajst-16329	74	24	identify	identify	VERB
ajst-16329	74	25	the	the	DET
ajst-16329	74	26	most	most	ADV
ajst-16329	74	27	relevant	relevant	ADJ
ajst-16329	74	28	influencing	influence	VERB
ajst-16329	74	29	factors	factor	NOUN
ajst-16329	74	30	for	for	ADP
ajst-16329	74	31	the	the	DET
ajst-16329	74	32	purpose	purpose	NOUN
ajst-16329	74	33	of	of	ADP
ajst-16329	74	34	reducing	reduce	VERB
ajst-16329	74	35	air	air	NOUN
ajst-16329	74	36	pollution	pollution	NOUN
ajst-16329	74	37	.	.	PUNCT
ajst-16329	75	1	according	accord	VERB
ajst-16329	75	2	to	to	ADP
ajst-16329	75	3	the	the	DET
ajst-16329	75	4	results	result	NOUN
ajst-16329	75	5	of	of	ADP
ajst-16329	75	6	the	the	DET
ajst-16329	75	7	study	study	NOUN
ajst-16329	75	8	,	,	PUNCT
ajst-16329	75	9	it	it	PRON
ajst-16329	75	10	is	be	AUX
ajst-16329	75	11	necessary	necessary	ADJ
ajst-16329	75	12	to	to	PART
ajst-16329	75	13	suppress	suppress	VERB
ajst-16329	75	14	the	the	DET
ajst-16329	75	15	sources	source	NOUN
ajst-16329	75	16	of	of	ADP
ajst-16329	75	17	pm2.5	pm2.5	NOUN
ajst-16329	75	18	,	,	PUNCT
ajst-16329	75	19	pm10	pm10	PROPN
ajst-16329	75	20	,	,	PUNCT
ajst-16329	75	21	no2	no2	NOUN
ajst-16329	75	22	and	and	CCONJ
ajst-16329	75	23	o3	o3	PROPN
ajst-16329	75	24	generation	generation	NOUN
ajst-16329	75	25	in	in	ADP
ajst-16329	75	26	order	order	NOUN
ajst-16329	75	27	to	to	PART
ajst-16329	75	28	protect	protect	VERB
ajst-16329	75	29	the	the	DET
ajst-16329	75	30	environment	environment	NOUN
ajst-16329	75	31	.	.	PUNCT
ajst-16329	76	1	references	reference	NOUN
ajst-16329	76	2	[	[	X
ajst-16329	76	3	1	1	NUM
ajst-16329	76	4	]	]	PUNCT
ajst-16329	76	5	b.	b.	PROPN
ajst-16329	76	6	minaei	minaei	PROPN
ajst-16329	76	7	-	-	PUNCT
ajst-16329	76	8	bidgoli	bidgoli	PROPN
ajst-16329	76	9	,	,	PUNCT
ajst-16329	76	10	r.	r.	PROPN
ajst-16329	76	11	barmaki	barmaki	PROPN
ajst-16329	76	12	,	,	PUNCT
ajst-16329	76	13	m.	m.	NOUN
ajst-16329	76	14	nasiri.mining	nasiri.mining	PROPN
ajst-16329	76	15	numerical	numerical	PROPN
ajst-16329	76	16	association	association	PROPN
ajst-16329	76	17	rules	rule	NOUN
ajst-16329	76	18	via	via	ADP
ajst-16329	76	19	multi	multi	ADJ
ajst-16329	76	20	-	-	ADJ
ajst-16329	76	21	objective	objective	ADJ
ajst-16329	76	22	genetic	genetic	ADJ
ajst-16329	76	23	algorithms	algorithm	NOUN
ajst-16329	76	24	[	[	X
ajst-16329	76	25	j	j	X
ajst-16329	76	26	]	]	X
ajst-16329	76	27	.	.	PUNCT
ajst-16329	77	1	information	information	PROPN
ajst-16329	77	2	sciences.2013	sciences.2013	PROPN
ajst-16329	77	3	,	,	PUNCT
ajst-16329	77	4	233	233	NUM
ajst-16329	77	5	:	:	SYM
ajst-16329	77	6	15	15	NUM
ajst-16329	77	7	-	-	SYM
ajst-16329	77	8	24	24	NUM
ajst-16329	77	9	.	.	PUNCT
ajst-16329	78	1	[	[	X
ajst-16329	78	2	2	2	NUM
ajst-16329	78	3	]	]	X
ajst-16329	78	4	lilia	lilia	PROPN
ajst-16329	78	5	tightiz	tightiz	NOUN
ajst-16329	78	6	,	,	PUNCT
ajst-16329	78	7	morteza	morteza	PROPN
ajst-16329	78	8	azimi	azimi	PROPN
ajst-16329	78	9	nasab	nasab	VERB
ajst-16329	78	10	,	,	PUNCT
ajst-16329	78	11	hyosik	hyosik	PROPN
ajst-16329	78	12	yang	yang	PROPN
ajst-16329	78	13	,	,	PUNCT
ajst-16329	78	14	abdoljalil	abdoljalil	NOUN
ajst-16329	78	15	addeh.an	addeh.an	DET
ajst-16329	78	16	intelligent	intelligent	ADJ
ajst-16329	78	17	system	system	NOUN
ajst-16329	78	18	based	base	VERB
ajst-16329	78	19	on	on	ADP
ajst-16329	78	20	optimized	optimize	VERB
ajst-16329	78	21	anfis	anfis	PROPN
ajst-16329	78	22	and	and	CCONJ
ajst-16329	78	23	association	association	NOUN
ajst-16329	78	24	rules	rule	NOUN
ajst-16329	78	25	for	for	ADP
ajst-16329	78	26	power	power	NOUN
ajst-16329	78	27	transformer	transformer	NOUN
ajst-16329	78	28	fault	fault	NOUN
ajst-16329	78	29	diagnosis[j].isa	diagnosis[j].isa	NOUN
ajst-16329	78	30	transactions	transaction	NOUN
ajst-16329	78	31	.	.	PUNCT
ajst-16329	79	1	2020	2020	NUM
ajst-16329	79	2	,	,	PUNCT
ajst-16329	79	3	103	103	NUM
ajst-16329	79	4	:	:	SYM
ajst-16329	79	5	63	63	NUM
ajst-16329	79	6	-	-	SYM
ajst-16329	79	7	74	74	NUM
ajst-16329	79	8	.	.	PUNCT
ajst-16329	80	1	[	[	X
ajst-16329	80	2	3	3	X
ajst-16329	80	3	]	]	X
ajst-16329	80	4	mohammad	mohammad	PROPN
ajst-16329	80	5	dehghani	dehghani	PROPN
ajst-16329	80	6	,	,	PUNCT
ajst-16329	80	7	zahra	zahra	PROPN
ajst-16329	80	8	yazdanparast	yazdanparast	PROPN
ajst-16329	80	9	,	,	PUNCT
ajst-16329	80	10	discovering	discover	VERB
ajst-16329	80	11	the	the	DET
ajst-16329	80	12	symptom	symptom	NOUN
ajst-16329	80	13	patterns	pattern	NOUN
ajst-16329	80	14	of	of	ADP
ajst-16329	80	15	covid-19	covid-19	PROPN
ajst-16329	80	16	from	from	ADP
ajst-16329	80	17	recovered	recovered	ADJ
ajst-16329	80	18	and	and	CCONJ
ajst-16329	80	19	deceased	deceased	ADJ
ajst-16329	80	20	patients	patient	NOUN
ajst-16329	80	21	using	use	VERB
ajst-16329	80	22	apriori	apriori	PROPN
ajst-16329	80	23	association	association	NOUN
ajst-16329	80	24	rule	rule	NOUN
ajst-16329	80	25	mining	mining	NOUN
ajst-16329	80	26	,	,	PUNCT
ajst-16329	80	27	informatics	informatic	NOUN
ajst-16329	80	28	in	in	ADP
ajst-16329	80	29	medicine	medicine	NOUN
ajst-16329	80	30	unlocked	unlock	VERB
ajst-16329	80	31	,	,	PUNCT
ajst-16329	80	32	volume	volume	NOUN
ajst-16329	80	33	422023,101351,issn	422023,101351,issn	NOUN
ajst-16329	80	34	2352	2352	NUM
ajst-16329	80	35	-	-	SYM
ajst-16329	80	36	9148	9148	NUM
ajst-16329	80	37	126	126	NUM
ajst-16329	81	1	[	[	SYM
ajst-16329	81	2	4	4	NUM
ajst-16329	81	3	]	]	X
ajst-16329	81	4	seth	seth	PROPN
ajst-16329	81	5	a.	a.	PROPN
ajst-16329	81	6	horn	horn	PROPN
ajst-16329	81	7	,	,	PUNCT
ajst-16329	81	8	purnendu	purnendu	NOUN
ajst-16329	81	9	k.	k.	PROPN
ajst-16329	81	10	dasgupta	dasgupta	PROPN
ajst-16329	81	11	,	,	PUNCT
ajst-16329	81	12	the	the	DET
ajst-16329	81	13	air	air	NOUN
ajst-16329	81	14	quality	quality	NOUN
ajst-16329	81	15	index	index	NOUN
ajst-16329	81	16	(	(	PUNCT
ajst-16329	81	17	aqi	aqi	PROPN
ajst-16329	81	18	)	)	PUNCT
ajst-16329	81	19	in	in	ADP
ajst-16329	81	20	historical	historical	ADJ
ajst-16329	81	21	and	and	CCONJ
ajst-16329	81	22	analytical	analytical	ADJ
ajst-16329	81	23	perspective	perspective	NOUN
ajst-16329	81	24	a	a	DET
ajst-16329	81	25	tutorial	tutorial	ADJ
ajst-16329	81	26	review	review	NOUN
ajst-16329	81	27	,	,	PUNCT
ajst-16329	81	28	talanta	talanta	ADJ
ajst-16329	81	29	,	,	PUNCT
ajst-16329	81	30	volume	volume	NOUN
ajst-16329	81	31	267,2024,125260	267,2024,125260	NOUN
ajst-16329	81	32	[	[	X
ajst-16329	81	33	5	5	X
ajst-16329	81	34	]	]	PUNCT
ajst-16329	81	35	agrawal	agrawal	NOUN
ajst-16329	81	36	r	r	PROPN
ajst-16329	81	37	,	,	PUNCT
ajst-16329	81	38	imielinski	imielinski	PROPN
ajst-16329	81	39	t	t	PROPN
ajst-16329	81	40	,	,	PUNCT
ajst-16329	81	41	swami	swami	NOUN
ajst-16329	81	42	a.mining	a.mine	VERB
ajst-16329	81	43	associa	associa	NOUN
ajst-16329	81	44	tion	tion	NOUN
ajst-16329	81	45	rules	rule	NOUN
ajst-16329	81	46	between	between	ADP
ajst-16329	81	47	sets	set	NOUN
ajst-16329	81	48	of	of	ADP
ajst-16329	81	49	items	item	NOUN
ajst-16329	81	50	in	in	ADP
ajst-16329	81	51	large	large	ADJ
ajst-16329	81	52	databases[c]//	databases[c]//	PROPN
ajst-16329	81	53	proceedings	proceeding	NOUN
ajst-16329	81	54	of	of	ADP
ajst-16329	81	55	the	the	DET
ajst-16329	81	56	1993	1993	NUM
ajst-16329	81	57	acm	acm	PROPN
ajst-16329	81	58	sigmod	sigmod	PROPN
ajst-16329	81	59	international	international	ADJ
ajst-16329	81	60	con	con	PROPN
ajst-16329	81	61	ference	ference	NOUN
ajst-16329	81	62	on	on	ADP
ajst-16329	81	63	management	management	NOUN
ajst-16329	81	64	of	of	ADP
ajst-16329	81	65	data	data	PROPN
ajst-16329	81	66	,	,	PUNCT
ajst-16329	81	67	washington	washington	PROPN
ajst-16329	81	68	,	,	PUNCT
ajst-16329	81	69	may	may	AUX
ajst-16329	81	70	26	26	NUM
ajst-16329	81	71	-	-	SYM
ajst-16329	81	72	28	28	NUM
ajst-16329	81	73	,	,	PUNCT
ajst-16329	81	74	1993.new	1993.new	PROPN
ajst-16329	81	75	york	york	PROPN
ajst-16329	81	76	:	:	PUNCT
ajst-16329	81	77	acm,1993:207	acm,1993:207	NOUN
ajst-16329	81	78	-	-	PUNCT
ajst-16329	81	79	216	216	NUM
ajst-16329	81	80	.	.	PUNCT
ajst-16329	82	1	[	[	X
ajst-16329	82	2	6	6	NUM
ajst-16329	82	3	]	]	X
ajst-16329	82	4	han	han	PROPN
ajst-16329	82	5	j	j	PROPN
ajst-16329	82	6	w	w	PROPN
ajst-16329	82	7	,	,	PUNCT
ajst-16329	82	8	pei	pei	PROPN
ajst-16329	82	9	j	j	PROPN
ajst-16329	82	10	,	,	PUNCT
ajst-16329	82	11	yin	yin	PROPN
ajst-16329	82	12	y	y	PROPN
ajst-16329	82	13	w	w	PROPN
ajst-16329	82	14	,	,	PUNCT
ajst-16329	82	15	et	et	NOUN
ajst-16329	82	16	al.mining	al.mine	VERB
ajst-16329	82	17	frequent	frequent	ADJ
ajst-16329	82	18	patterns	pattern	NOUN
ajst-16329	82	19	without	without	ADP
ajst-16329	82	20	candidate	candidate	NOUN
ajst-16329	82	21	generation	generation	NOUN
ajst-16329	82	22	:	:	PUNCT
ajst-16329	82	23	a	a	DET
ajst-16329	82	24	frequent	frequent	ADJ
ajst-16329	82	25	-	-	PUNCT
ajst-16329	82	26	pattern	pattern	NOUN
ajst-16329	82	27	tree	tree	NOUN
ajst-16329	82	28	app	app	PROPN
ajst-16329	82	29	roach[j].data	roach[j].data	PROPN
ajst-16329	82	30	mining&knowledge	mining&knowledge	VERB
ajst-16329	82	31	discovery,2004,8(1):53	discovery,2004,8(1):53	PROPN
ajst-16329	82	32	-	-	PUNCT
ajst-16329	82	33	87	87	NUM
ajst-16329	82	34	.	.	PUNCT
ajst-16329	83	1	[	[	X
ajst-16329	83	2	7	7	X
ajst-16329	83	3	]	]	X
ajst-16329	83	4	zaki	zaki	PROPN
ajst-16329	83	5	m	m	PROPN
ajst-16329	83	6	j	j	PROPN
ajst-16329	83	7	,	,	PUNCT
ajst-16329	83	8	parthasarathy	parthasarathy	PROPN
ajst-16329	83	9	s	s	PROPN
ajst-16329	83	10	,	,	PUNCT
ajst-16329	83	11	ogihara	ogihara	PROPN
ajst-16329	83	12	m	m	PROPN
ajst-16329	83	13	,	,	PUNCT
ajst-16329	83	14	et	et	PROPN
ajst-16329	83	15	al.new	al.new	ADJ
ajst-16329	83	16	algorithms	algorithm	NOUN
ajst-16329	83	17	for	for	ADP
ajst-16329	83	18	fast	fast	ADJ
ajst-16329	83	19	discovery	discovery	NOUN
ajst-16329	83	20	of	of	ADP
ajst-16329	83	21	association	association	NOUN
ajst-16329	83	22	rules[c]//pro	rules[c]//pro	NOUN
ajst-16329	83	23	ceedings	ceeding	NOUN
ajst-16329	83	24	of	of	ADP
ajst-16329	83	25	the	the	DET
ajst-16329	83	26	3rd	3rd	ADJ
ajst-16329	83	27	international	international	ADJ
ajst-16329	83	28	conference	conference	NOUN
ajst-16329	83	29	on	on	ADP
ajst-16329	83	30	knowledge	knowledge	NOUN
ajst-16329	83	31	discovery	discovery	PROPN
ajst-16329	83	32	and	and	CCONJ
ajst-16329	83	33	data	datum	NOUN
ajst-16329	83	34	mining	mining	NOUN
ajst-16329	83	35	,	,	PUNCT
ajst-16329	83	36	newport	newport	PROPN
ajst-16329	83	37	beach	beach	PROPN
ajst-16329	83	38	,	,	PUNCT
ajst-16329	83	39	aug	aug	PROPN
ajst-16329	83	40	14	14	NUM
ajst-16329	83	41	-	-	SYM
ajst-16329	83	42	17	17	NUM
ajst-16329	83	43	,	,	PUNCT
ajst-16329	83	44	1997.palo	1997.palo	NUM
ajst-16329	83	45	alto	alto	NOUN
ajst-16329	83	46	:	:	PUNCT
ajst-16329	83	47	aaai,1997:283	aaai,1997:283	NOUN
ajst-16329	83	48	-	-	PUNCT
ajst-16329	83	49	286	286	NUM
ajst-16329	83	50	.	.	PUNCT
ajst-16329	84	1	[	[	X
ajst-16329	84	2	8	8	NUM
ajst-16329	84	3	]	]	X
ajst-16329	84	4	agrawal	agrawal	NOUN
ajst-16329	84	5	r	r	PROPN
ajst-16329	84	6	,	,	PUNCT
ajst-16329	84	7	srikant	srikant	PROPN
ajst-16329	84	8	r.	r.	PROPN
ajst-16329	84	9	fast	fast	PROPN
ajst-16329	84	10	algorithms	algorithm	NOUN
ajst-16329	84	11	for	for	ADP
ajst-16329	84	12	mining	mining	NOUN
ajst-16329	84	13	association	association	NOUN
ajst-16329	84	14	rules	rule	NOUN
ajst-16329	84	15	.	.	PUNCT
ajst-16329	85	1	in	in	ADP
ajst-16329	85	2	:	:	PUNCT
ajst-16329	85	3	proc	proc	NOUN
ajst-16329	85	4	.	.	PUNCT
ajst-16329	86	1	20th	20th	ADJ
ajst-16329	86	2	int	int	NOUN
ajst-16329	86	3	.	.	PUNCT
ajst-16329	86	4	conf	conf	NOUN
ajst-16329	86	5	.	.	PUNCT
ajst-16329	87	1	very	very	ADV
ajst-16329	87	2	large	large	ADJ
ajst-16329	87	3	data	datum	NOUN
ajst-16329	87	4	bases	basis	NOUN
ajst-16329	87	5	,	,	PUNCT
ajst-16329	87	6	vldb	vldb	PROPN
ajst-16329	87	7	.	.	PUNCT
ajst-16329	88	1	vol	vol	NOUN
ajst-16329	88	2	.	.	PUNCT
ajst-16329	89	1	1215	1215	NUM
ajst-16329	89	2	;	;	PUNCT
ajst-16329	89	3	1994	1994	NUM
ajst-16329	89	4	.	.	PUNCT
ajst-16329	90	1	p.	p.	NOUN
ajst-16329	90	2	487–99	487–99	NUM
ajst-16329	90	3	.	.	PUNCT
ajst-16329	91	1	santiago	santiago	PROPN
ajst-16329	91	2	,	,	PUNCT
ajst-16329	91	3	chile	chile	PROPN
ajst-16329	91	4	.	.	PUNCT
ajst-16329	92	1	[	[	X
ajst-16329	92	2	9	9	NUM
ajst-16329	92	3	]	]	X
ajst-16329	92	4	cheng	cheng	PROPN
ajst-16329	92	5	c	c	PROPN
ajst-16329	92	6	-	-	PUNCT
ajst-16329	92	7	w	w	PROPN
ajst-16329	92	8	,	,	PUNCT
ajst-16329	92	9	wang	wang	PROPN
ajst-16329	92	10	md	md	PROPN
ajst-16329	92	11	.	.	PUNCT
ajst-16329	92	12	healthcare	healthcare	PROPN
ajst-16329	92	13	data	data	PROPN
ajst-16329	92	14	mining	mining	PROPN
ajst-16329	92	15	,	,	PUNCT
ajst-16329	92	16	association	association	NOUN
ajst-16329	92	17	rule	rule	NOUN
ajst-16329	92	18	mining	mining	NOUN
ajst-16329	92	19	,	,	PUNCT
ajst-16329	92	20	and	and	CCONJ
ajst-16329	92	21	applications	application	NOUN
ajst-16329	92	22	.	.	PUNCT
ajst-16329	93	1	health	health	PROPN
ajst-16329	93	2	inf	inf	PROPN
ajst-16329	93	3	data	data	PROPN
ajst-16329	93	4	anal	anal	NOUN
ajst-16329	93	5	:	:	PUNCT
ajst-16329	93	6	methods	method	NOUN
ajst-16329	93	7	and	and	CCONJ
ajst-16329	93	8	examples	example	NOUN
ajst-16329	93	9	2017:201–10	2017:201–10	NUM
ajst-16329	93	10	.	.	PUNCT
ajst-16329	94	1	[	[	X
ajst-16329	94	2	10	10	NUM
ajst-16329	94	3	]	]	X
ajst-16329	94	4	rai	rai	PROPN
ajst-16329	94	5	vk	vk	PROPN
ajst-16329	94	6	,	,	PUNCT
ajst-16329	94	7	chakraborty	chakraborty	PROPN
ajst-16329	94	8	s	s	PROPN
ajst-16329	94	9	,	,	PUNCT
ajst-16329	94	10	chakraborty	chakraborty	PROPN
ajst-16329	94	11	s.	s.	PROPN
ajst-16329	94	12	association	association	PROPN
ajst-16329	94	13	rule	rule	NOUN
ajst-16329	94	14	mining	mining	NOUN
ajst-16329	94	15	for	for	ADP
ajst-16329	94	16	prediction	prediction	NOUN
ajst-16329	94	17	of	of	ADP
ajst-16329	94	18	covid-19	covid-19	PROPN
ajst-16329	94	19	.	.	PUNCT
ajst-16329	95	1	decision	decision	NOUN
ajst-16329	95	2	making	making	NOUN
ajst-16329	95	3	:	:	PUNCT
ajst-16329	95	4	appl	appl	PROPN
ajst-16329	95	5	manag	manag	PROPN
ajst-16329	95	6	eng	eng	PROPN
ajst-16329	95	7	2023;6(1):365–78	2023;6(1):365–78	NUM
ajst-16329	95	8	.	.	PUNCT
ajst-16329	96	1	[	[	X
ajst-16329	96	2	11	11	NUM
ajst-16329	96	3	]	]	X
ajst-16329	96	4	ilbeigipour	ilbeigipour	PROPN
ajst-16329	96	5	s	s	PROPN
ajst-16329	96	6	,	,	PUNCT
ajst-16329	96	7	albadvi	albadvi	PROPN
ajst-16329	96	8	a.	a.	NOUN
ajst-16329	96	9	supervised	supervise	VERB
ajst-16329	96	10	learning	learning	NOUN
ajst-16329	96	11	of	of	ADP
ajst-16329	96	12	covid-19	covid-19	PROPN
ajst-16329	96	13	patients	patient	NOUN
ajst-16329	96	14	’	'	PUNCT
ajst-16329	96	15	characteristics	characteristic	NOUN
ajst-16329	96	16	to	to	PART
ajst-16329	96	17	discover	discover	VERB
ajst-16329	96	18	symptom	symptom	NOUN
ajst-16329	96	19	patterns	pattern	NOUN
ajst-16329	96	20	and	and	CCONJ
ajst-16329	96	21	improve	improve	VERB
ajst-16329	96	22	patient	patient	ADJ
ajst-16329	96	23	outcome	outcome	NOUN
ajst-16329	96	24	prediction	prediction	NOUN
ajst-16329	96	25	.	.	PUNCT
ajst-16329	97	1	inform	inform	VERB
ajst-16329	97	2	med	me	VERB
ajst-16329	97	3	unlocked	unlock	VERB
ajst-16329	97	4	2022;30:100933	2022;30:100933	NUM
ajst-16329	97	5	.	.	PUNCT