id	sid	tid	token	lemma	pos
fcis-5411	1	1	frontiers	frontier	NOUN
fcis-5411	1	2	in	in	ADP
fcis-5411	1	3	computing	computing	NOUN
fcis-5411	1	4	and	and	CCONJ
fcis-5411	1	5	intelligent	intelligent	ADJ
fcis-5411	1	6	systems	system	NOUN
fcis-5411	1	7	issn	issn	VERB
fcis-5411	1	8	:	:	PUNCT
fcis-5411	1	9	2832	2832	NUM
fcis-5411	1	10	-	-	SYM
fcis-5411	1	11	6024	6024	NUM
fcis-5411	1	12	|	|	NOUN
fcis-5411	1	13	vol	vol	NOUN
fcis-5411	1	14	.	.	PROPN
fcis-5411	2	1	2	2	NUM
fcis-5411	2	2	,	,	PUNCT
fcis-5411	2	3	no	no	INTJ
fcis-5411	2	4	.	.	NOUN
fcis-5411	2	5	3	3	NUM
fcis-5411	2	6	,	,	PUNCT
fcis-5411	2	7	2022	2022	NUM
fcis-5411	2	8	97	97	NUM
fcis-5411	2	9	improvement	improvement	NOUN
fcis-5411	2	10	of	of	ADP
fcis-5411	2	11	association	association	NOUN
fcis-5411	2	12	algorithm	algorithm	NOUN
fcis-5411	2	13	based	base	VERB
fcis-5411	2	14	on	on	ADP
fcis-5411	2	15	matrix	matrix	NOUN
fcis-5411	2	16	optimization	optimization	NOUN
fcis-5411	2	17	yang	yang	PROPN
fcis-5411	2	18	chen	chen	PROPN
fcis-5411	2	19	school	school	PROPN
fcis-5411	2	20	of	of	ADP
fcis-5411	2	21	information	information	NOUN
fcis-5411	2	22	,	,	PUNCT
fcis-5411	2	23	yunnan	yunnan	PROPN
fcis-5411	2	24	university	university	PROPN
fcis-5411	2	25	of	of	ADP
fcis-5411	2	26	finance	finance	NOUN
fcis-5411	2	27	and	and	CCONJ
fcis-5411	2	28	economics	economic	NOUN
fcis-5411	2	29	,	,	PUNCT
fcis-5411	2	30	kunming	kunming	PROPN
fcis-5411	2	31	,	,	PUNCT
fcis-5411	2	32	yunnan	yunnan	PROPN
fcis-5411	2	33	650221	650221	NUM
fcis-5411	2	34	,	,	PUNCT
fcis-5411	2	35	china	china	PROPN
fcis-5411	2	36	511926706@qq.com	511926706@qq.com	NUM
fcis-5411	2	37	abstract	abstract	NOUN
fcis-5411	2	38	:	:	PUNCT
fcis-5411	2	39	in	in	ADP
fcis-5411	2	40	order	order	NOUN
fcis-5411	2	41	to	to	PART
fcis-5411	2	42	solve	solve	VERB
fcis-5411	2	43	the	the	DET
fcis-5411	2	44	problems	problem	NOUN
fcis-5411	2	45	of	of	ADP
fcis-5411	2	46	high	high	ADJ
fcis-5411	2	47	memory	memory	NOUN
fcis-5411	2	48	usage	usage	NOUN
fcis-5411	2	49	and	and	CCONJ
fcis-5411	2	50	low	low	ADJ
fcis-5411	2	51	efficiency	efficiency	NOUN
fcis-5411	2	52	of	of	ADP
fcis-5411	2	53	frequent	frequent	ADJ
fcis-5411	2	54	itemsets	itemset	NOUN
fcis-5411	2	55	generation	generation	NOUN
fcis-5411	2	56	in	in	ADP
fcis-5411	2	57	the	the	DET
fcis-5411	2	58	process	process	NOUN
fcis-5411	2	59	of	of	ADP
fcis-5411	2	60	data	datum	NOUN
fcis-5411	2	61	mining	mining	NOUN
fcis-5411	2	62	,	,	PUNCT
fcis-5411	2	63	the	the	DET
fcis-5411	2	64	existing	exist	VERB
fcis-5411	2	65	association	association	NOUN
fcis-5411	2	66	algorithm	algorithm	NOUN
fcis-5411	2	67	is	be	AUX
fcis-5411	2	68	improved	improve	VERB
fcis-5411	2	69	.	.	PUNCT
fcis-5411	3	1	the	the	DET
fcis-5411	3	2	data	data	NOUN
fcis-5411	3	3	information	information	NOUN
fcis-5411	3	4	is	be	AUX
fcis-5411	3	5	expressed	express	VERB
fcis-5411	3	6	in	in	ADP
fcis-5411	3	7	the	the	DET
fcis-5411	3	8	form	form	NOUN
fcis-5411	3	9	of	of	ADP
fcis-5411	3	10	a	a	DET
fcis-5411	3	11	boolean	boolean	ADJ
fcis-5411	3	12	matrix	matrix	NOUN
fcis-5411	3	13	,	,	PUNCT
fcis-5411	3	14	and	and	CCONJ
fcis-5411	3	15	the	the	DET
fcis-5411	3	16	matrix	matrix	NOUN
fcis-5411	3	17	is	be	AUX
fcis-5411	3	18	continuously	continuously	ADV
fcis-5411	3	19	simplified	simplify	VERB
fcis-5411	3	20	in	in	ADP
fcis-5411	3	21	the	the	DET
fcis-5411	3	22	operation	operation	NOUN
fcis-5411	3	23	to	to	PART
fcis-5411	3	24	optimize	optimize	VERB
fcis-5411	3	25	the	the	DET
fcis-5411	3	26	item	item	NOUN
fcis-5411	3	27	set	set	VERB
fcis-5411	3	28	connection	connection	NOUN
fcis-5411	3	29	method	method	NOUN
fcis-5411	3	30	,	,	PUNCT
fcis-5411	3	31	thereby	thereby	ADV
fcis-5411	3	32	reducing	reduce	VERB
fcis-5411	3	33	memory	memory	NOUN
fcis-5411	3	34	consumption	consumption	NOUN
fcis-5411	3	35	and	and	CCONJ
fcis-5411	3	36	improving	improve	VERB
fcis-5411	3	37	algorithm	algorithm	NOUN
fcis-5411	3	38	efficiency	efficiency	NOUN
fcis-5411	3	39	.	.	PUNCT
fcis-5411	4	1	keywords	keyword	NOUN
fcis-5411	4	2	:	:	PUNCT
fcis-5411	4	3	frequent	frequent	ADJ
fcis-5411	4	4	itemsets	itemset	NOUN
fcis-5411	4	5	;	;	PUNCT
fcis-5411	4	6	boolean	boolean	ADJ
fcis-5411	4	7	matrix	matrix	NOUN
fcis-5411	4	8	;	;	PUNCT
fcis-5411	4	9	simplified	simplified	ADJ
fcis-5411	4	10	matrix	matrix	NOUN
fcis-5411	4	11	;	;	PUNCT
fcis-5411	4	12	optimal	optimal	ADJ
fcis-5411	4	13	connection	connection	NOUN
fcis-5411	4	14	.	.	PUNCT
fcis-5411	5	1	1	1	X
fcis-5411	5	2	.	.	X
fcis-5411	5	3	introduction	introduction	NOUN
fcis-5411	5	4	the	the	DET
fcis-5411	5	5	earliest	early	ADJ
fcis-5411	5	6	concepts	concept	NOUN
fcis-5411	5	7	related	relate	VERB
fcis-5411	5	8	to	to	ADP
fcis-5411	5	9	data	data	NOUN
fcis-5411	5	10	mining	mining	NOUN
fcis-5411	5	11	were	be	AUX
fcis-5411	5	12	put	put	VERB
fcis-5411	5	13	forward	forward	ADV
fcis-5411	5	14	by	by	ADP
fcis-5411	5	15	r.	r.	PROPN
fcis-5411	5	16	agrawal	agrawal	PROPN
fcis-5411	5	17	,	,	PUNCT
fcis-5411	5	18	swami	swami	NOUN
fcis-5411	5	19	and	and	CCONJ
fcis-5411	5	20	imielinskih	imielinskih	VERB
fcis-5411	6	1	[	[	X
fcis-5411	6	2	1	1	X
fcis-5411	6	3	]	]	PUNCT
fcis-5411	6	4	in	in	ADP
fcis-5411	6	5	1993	1993	NUM
fcis-5411	6	6	.	.	PUNCT
fcis-5411	7	1	they	they	PRON
fcis-5411	7	2	analogized	analogize	VERB
fcis-5411	7	3	the	the	DET
fcis-5411	7	4	connection	connection	NOUN
fcis-5411	7	5	rules	rule	NOUN
fcis-5411	7	6	between	between	ADP
fcis-5411	7	7	users	user	NOUN
fcis-5411	7	8	in	in	ADP
fcis-5411	7	9	different	different	ADJ
fcis-5411	7	10	transactions	transaction	NOUN
fcis-5411	7	11	and	and	CCONJ
fcis-5411	7	12	generated	generate	VERB
fcis-5411	7	13	consumer	consumer	NOUN
fcis-5411	7	14	behavior	behavior	NOUN
fcis-5411	7	15	patterns	pattern	NOUN
fcis-5411	7	16	.	.	PUNCT
fcis-5411	8	1	then	then	ADV
fcis-5411	8	2	apriori	apriori	ADV
fcis-5411	8	3	algorithm	algorithm	PROPN
fcis-5411	8	4	is	be	AUX
fcis-5411	8	5	proposed	propose	VERB
fcis-5411	8	6	,	,	PUNCT
fcis-5411	8	7	which	which	PRON
fcis-5411	8	8	is	be	AUX
fcis-5411	8	9	the	the	DET
fcis-5411	8	10	most	most	ADV
fcis-5411	8	11	classical	classical	ADJ
fcis-5411	8	12	algorithm	algorithm	NOUN
fcis-5411	8	13	in	in	ADP
fcis-5411	8	14	the	the	DET
fcis-5411	8	15	field	field	NOUN
fcis-5411	8	16	of	of	ADP
fcis-5411	8	17	association	association	NOUN
fcis-5411	8	18	rules	rule	NOUN
fcis-5411	8	19	.	.	PUNCT
fcis-5411	9	1	toivonen	toivonen	NOUN
fcis-5411	10	1	[	[	X
fcis-5411	10	2	2	2	NUM
fcis-5411	10	3	]	]	PUNCT
fcis-5411	10	4	and	and	CCONJ
fcis-5411	10	5	other	other	ADJ
fcis-5411	10	6	researchers	researcher	NOUN
fcis-5411	10	7	optimized	optimize	VERB
fcis-5411	10	8	the	the	DET
fcis-5411	10	9	generation	generation	NOUN
fcis-5411	10	10	process	process	NOUN
fcis-5411	10	11	of	of	ADP
fcis-5411	10	12	frequent	frequent	ADJ
fcis-5411	10	13	itemsets	itemset	NOUN
fcis-5411	10	14	in	in	ADP
fcis-5411	10	15	the	the	DET
fcis-5411	10	16	classic	classic	ADJ
fcis-5411	10	17	apriori	apriori	ADJ
fcis-5411	10	18	algorithm	algorithm	NOUN
fcis-5411	10	19	through	through	ADP
fcis-5411	10	20	tests	test	NOUN
fcis-5411	10	21	.	.	PUNCT
fcis-5411	11	1	yjhan	yjhan	VERB
fcis-5411	12	1	[	[	X
fcis-5411	12	2	3	3	X
fcis-5411	12	3	]	]	X
fcis-5411	12	4	[	[	X
fcis-5411	12	5	4	4	NUM
fcis-5411	12	6	]	]	PUNCT
fcis-5411	12	7	and	and	CCONJ
fcis-5411	12	8	other	other	ADJ
fcis-5411	12	9	researchers	researcher	NOUN
fcis-5411	12	10	improved	improve	VERB
fcis-5411	12	11	the	the	DET
fcis-5411	12	12	traditional	traditional	ADJ
fcis-5411	12	13	algorithm	algorithm	NOUN
fcis-5411	12	14	and	and	CCONJ
fcis-5411	12	15	proposed	propose	VERB
fcis-5411	12	16	the	the	DET
fcis-5411	12	17	fpgrowth	fpgrowth	NOUN
fcis-5411	12	18	algorithm	algorithm	NOUN
fcis-5411	12	19	,	,	PUNCT
fcis-5411	12	20	which	which	PRON
fcis-5411	12	21	puts	put	VERB
fcis-5411	12	22	the	the	DET
fcis-5411	12	23	data	datum	NOUN
fcis-5411	12	24	in	in	ADP
fcis-5411	12	25	the	the	DET
fcis-5411	12	26	database	database	NOUN
fcis-5411	12	27	into	into	ADP
fcis-5411	12	28	the	the	DET
fcis-5411	12	29	nodes	node	NOUN
fcis-5411	12	30	of	of	ADP
fcis-5411	12	31	the	the	DET
fcis-5411	12	32	tree	tree	NOUN
fcis-5411	12	33	in	in	ADP
fcis-5411	12	34	turn	turn	NOUN
fcis-5411	12	35	according	accord	VERB
fcis-5411	12	36	to	to	ADP
fcis-5411	12	37	rules	rule	NOUN
fcis-5411	12	38	,	,	PUNCT
fcis-5411	12	39	avoiding	avoid	VERB
fcis-5411	12	40	repeated	repeat	VERB
fcis-5411	12	41	scanning	scanning	NOUN
fcis-5411	12	42	of	of	ADP
fcis-5411	12	43	the	the	DET
fcis-5411	12	44	database	database	NOUN
fcis-5411	12	45	during	during	ADP
fcis-5411	12	46	the	the	DET
fcis-5411	12	47	mining	mining	NOUN
fcis-5411	12	48	process	process	NOUN
fcis-5411	12	49	.	.	PUNCT
fcis-5411	13	1	2	2	X
fcis-5411	13	2	.	.	NUM
fcis-5411	13	3	basic	basic	ADJ
fcis-5411	13	4	concepts	concept	NOUN
fcis-5411	13	5	and	and	CCONJ
fcis-5411	13	6	principles	principle	NOUN
fcis-5411	13	7	of	of	ADP
fcis-5411	13	8	association	association	NOUN
fcis-5411	13	9	algorithms	algorithm	NOUN
fcis-5411	13	10	2.1	2.1	NUM
fcis-5411	13	11	.	.	PUNCT
fcis-5411	14	1	basic	basic	ADJ
fcis-5411	14	2	concepts	concept	NOUN
fcis-5411	14	3	the	the	DET
fcis-5411	14	4	main	main	ADJ
fcis-5411	14	5	purpose	purpose	NOUN
fcis-5411	14	6	of	of	ADP
fcis-5411	14	7	association	association	NOUN
fcis-5411	14	8	algorithm	algorithm	NOUN
fcis-5411	14	9	is	be	AUX
fcis-5411	14	10	to	to	PART
fcis-5411	14	11	find	find	VERB
fcis-5411	14	12	out	out	ADP
fcis-5411	14	13	the	the	DET
fcis-5411	14	14	connection	connection	NOUN
fcis-5411	14	15	between	between	ADP
fcis-5411	14	16	data	datum	NOUN
fcis-5411	14	17	in	in	ADP
fcis-5411	14	18	a	a	DET
fcis-5411	14	19	given	give	VERB
fcis-5411	14	20	data	datum	NOUN
fcis-5411	14	21	set	set	NOUN
fcis-5411	14	22	,	,	PUNCT
fcis-5411	14	23	that	that	ADV
fcis-5411	14	24	is	is	ADV
fcis-5411	14	25	,	,	PUNCT
fcis-5411	14	26	strong	strong	ADJ
fcis-5411	14	27	association	association	NOUN
fcis-5411	14	28	rules	rule	NOUN
fcis-5411	14	29	[	[	X
fcis-5411	14	30	5	5	NUM
fcis-5411	14	31	]	]	PUNCT
fcis-5411	14	32	.	.	PUNCT
fcis-5411	15	1	at	at	ADP
fcis-5411	15	2	the	the	DET
fcis-5411	15	3	beginning	beginning	NOUN
fcis-5411	15	4	of	of	ADP
fcis-5411	15	5	the	the	DET
fcis-5411	15	6	algorithm	algorithm	NOUN
fcis-5411	15	7	,	,	PUNCT
fcis-5411	15	8	the	the	DET
fcis-5411	15	9	user	user	NOUN
fcis-5411	15	10	defines	define	VERB
fcis-5411	15	11	the	the	DET
fcis-5411	15	12	minimum	minimum	ADJ
fcis-5411	15	13	support	support	NOUN
fcis-5411	15	14	and	and	CCONJ
fcis-5411	15	15	minimum	minimum	NOUN
fcis-5411	15	16	confidence	confidence	NOUN
fcis-5411	15	17	according	accord	VERB
fcis-5411	15	18	to	to	ADP
fcis-5411	15	19	the	the	DET
fcis-5411	15	20	actual	actual	ADJ
fcis-5411	15	21	situation	situation	NOUN
fcis-5411	15	22	.	.	PUNCT
fcis-5411	16	1	support	support	NOUN
fcis-5411	16	2	(	(	PUNCT
fcis-5411	16	3	count	count	NOUN
fcis-5411	16	4	):	):	PUNCT
fcis-5411	16	5	the	the	DET
fcis-5411	16	6	number	number	NOUN
fcis-5411	16	7	of	of	ADP
fcis-5411	16	8	times	time	NOUN
fcis-5411	16	9	customers	customer	NOUN
fcis-5411	16	10	purchase	purchase	VERB
fcis-5411	16	11	some	some	DET
fcis-5411	16	12	products	product	NOUN
fcis-5411	16	13	at	at	ADP
fcis-5411	16	14	the	the	DET
fcis-5411	16	15	same	same	ADJ
fcis-5411	16	16	time	time	NOUN
fcis-5411	16	17	is	be	AUX
fcis-5411	16	18	called	call	VERB
fcis-5411	16	19	support	support	NOUN
fcis-5411	16	20	count	count	NOUN
fcis-5411	16	21	,	,	PUNCT
fcis-5411	16	22	and	and	CCONJ
fcis-5411	16	23	the	the	DET
fcis-5411	16	24	ratio	ratio	NOUN
fcis-5411	16	25	of	of	ADP
fcis-5411	16	26	the	the	DET
fcis-5411	16	27	count	count	NOUN
fcis-5411	16	28	to	to	ADP
fcis-5411	16	29	the	the	DET
fcis-5411	16	30	number	number	NOUN
fcis-5411	16	31	of	of	ADP
fcis-5411	16	32	times	time	NOUN
fcis-5411	16	33	of	of	ADP
fcis-5411	16	34	all	all	DET
fcis-5411	16	35	products	product	NOUN
fcis-5411	16	36	in	in	ADP
fcis-5411	16	37	database	database	NOUN
fcis-5411	16	38	d	d	X
fcis-5411	16	39	is	be	AUX
fcis-5411	16	40	called	call	VERB
fcis-5411	16	41	support	support	NOUN
fcis-5411	16	42	.	.	PUNCT
fcis-5411	17	1	the	the	DET
fcis-5411	17	2	threshold	threshold	NOUN
fcis-5411	17	3	for	for	ADP
fcis-5411	17	4	measuring	measure	VERB
fcis-5411	17	5	whether	whether	SCONJ
fcis-5411	17	6	the	the	DET
fcis-5411	17	7	customer	customer	NOUN
fcis-5411	17	8	purchases	purchase	VERB
fcis-5411	17	9	the	the	DET
fcis-5411	17	10	product	product	NOUN
fcis-5411	17	11	frequently	frequently	ADV
fcis-5411	17	12	is	be	AUX
fcis-5411	17	13	called	call	VERB
fcis-5411	17	14	the	the	DET
fcis-5411	17	15	minimum	minimum	ADJ
fcis-5411	17	16	support	support	NOUN
fcis-5411	17	17	(	(	PUNCT
fcis-5411	17	18	count	count	NOUN
fcis-5411	17	19	)	)	PUNCT
fcis-5411	17	20	,	,	PUNCT
fcis-5411	17	21	which	which	PRON
fcis-5411	17	22	is	be	AUX
fcis-5411	17	23	recorded	record	VERB
fcis-5411	17	24	as	as	ADP
fcis-5411	17	25	min_support	min_support	NOUN
fcis-5411	17	26	.	.	PUNCT
fcis-5411	17	27	confidence	confidence	NOUN
fcis-5411	17	28	degree	degree	NOUN
fcis-5411	17	29	:	:	PUNCT
fcis-5411	17	30	under	under	ADP
fcis-5411	17	31	the	the	DET
fcis-5411	17	32	condition	condition	NOUN
fcis-5411	17	33	that	that	SCONJ
fcis-5411	17	34	customers	customer	NOUN
fcis-5411	17	35	purchase	purchase	VERB
fcis-5411	17	36	some	some	DET
fcis-5411	17	37	commodities	commodity	NOUN
fcis-5411	17	38	a	a	PRON
fcis-5411	17	39	at	at	ADP
fcis-5411	17	40	the	the	DET
fcis-5411	17	41	same	same	ADJ
fcis-5411	17	42	time	time	NOUN
fcis-5411	17	43	,	,	PUNCT
fcis-5411	17	44	the	the	DET
fcis-5411	17	45	probability	probability	NOUN
fcis-5411	17	46	of	of	ADP
fcis-5411	17	47	purchasing	purchase	VERB
fcis-5411	17	48	other	other	ADJ
fcis-5411	17	49	commodities	commodity	NOUN
fcis-5411	17	50	b	b	NOUN
fcis-5411	17	51	at	at	ADP
fcis-5411	17	52	the	the	DET
fcis-5411	17	53	same	same	ADJ
fcis-5411	17	54	time	time	NOUN
fcis-5411	17	55	,	,	PUNCT
fcis-5411	17	56	that	that	ADV
fcis-5411	17	57	is	is	ADV
fcis-5411	17	58	,	,	PUNCT
fcis-5411	17	59	the	the	DET
fcis-5411	17	60	conditional	conditional	ADJ
fcis-5411	17	61	probability	probability	NOUN
fcis-5411	17	62	p(b|a	p(b|a	NOUN
fcis-5411	17	63	)	)	PUNCT
fcis-5411	17	64	of	of	ADP
fcis-5411	17	65	the	the	DET
fcis-5411	17	66	rule	rule	NOUN
fcis-5411	17	67	(	(	PUNCT
fcis-5411	17	68	or	or	CCONJ
fcis-5411	17	69	implication	implication	NOUN
fcis-5411	17	70	)	)	PUNCT
fcis-5411	17	71	a⇒b	a⇒b	PROPN
fcis-5411	17	72	,	,	PUNCT
fcis-5411	17	73	is	be	AUX
fcis-5411	17	74	recorded	record	VERB
fcis-5411	17	75	as	as	ADP
fcis-5411	17	76	confidence(a=	confidence(a=	PROPN
fcis-5411	17	77	>	>	X
fcis-5411	17	78	b	b	PROPN
fcis-5411	17	79	)	)	PUNCT
fcis-5411	17	80	,	,	PUNCT
fcis-5411	17	81	the	the	DET
fcis-5411	17	82	threshold	threshold	NOUN
fcis-5411	17	83	for	for	ADP
fcis-5411	17	84	measuring	measure	VERB
fcis-5411	17	85	the	the	DET
fcis-5411	17	86	frequent	frequent	ADJ
fcis-5411	17	87	purchase	purchase	NOUN
fcis-5411	17	88	of	of	ADP
fcis-5411	17	89	some	some	DET
fcis-5411	17	90	products	product	NOUN
fcis-5411	17	91	by	by	ADP
fcis-5411	17	92	customers	customer	NOUN
fcis-5411	17	93	and	and	CCONJ
fcis-5411	17	94	the	the	DET
fcis-5411	17	95	frequent	frequent	ADJ
fcis-5411	17	96	purchase	purchase	NOUN
fcis-5411	17	97	of	of	ADP
fcis-5411	17	98	other	other	ADJ
fcis-5411	17	99	products	product	NOUN
fcis-5411	17	100	is	be	AUX
fcis-5411	17	101	called	call	VERB
fcis-5411	17	102	the	the	DET
fcis-5411	17	103	minimum	minimum	ADJ
fcis-5411	17	104	confidence	confidence	NOUN
fcis-5411	17	105	,	,	PUNCT
fcis-5411	17	106	which	which	PRON
fcis-5411	17	107	is	be	AUX
fcis-5411	17	108	recorded	record	VERB
fcis-5411	17	109	as	as	ADP
fcis-5411	17	110	min_confidence	min_confidence	NOUN
fcis-5411	17	111	.	.	PUNCT
fcis-5411	18	1	2.2	2.2	NUM
fcis-5411	18	2	.	.	PUNCT
fcis-5411	19	1	algorithm	algorithm	PROPN
fcis-5411	19	2	principle	principle	NOUN
fcis-5411	19	3	scan	scan	VERB
fcis-5411	19	4	the	the	DET
fcis-5411	19	5	database	database	NOUN
fcis-5411	19	6	d	d	NOUN
fcis-5411	19	7	,	,	PUNCT
fcis-5411	19	8	extract	extract	VERB
fcis-5411	19	9	and	and	CCONJ
fcis-5411	19	10	count	count	VERB
fcis-5411	19	11	each	each	DET
fcis-5411	19	12	product	product	NOUN
fcis-5411	19	13	,	,	PUNCT
fcis-5411	19	14	and	and	CCONJ
fcis-5411	19	15	generate	generate	VERB
fcis-5411	19	16	c1	c1	PROPN
fcis-5411	19	17	item	item	NOUN
fcis-5411	19	18	set	set	VERB
fcis-5411	19	19	.	.	PUNCT
fcis-5411	20	1	c1	c1	PROPN
fcis-5411	20	2	is	be	AUX
fcis-5411	20	3	a	a	DET
fcis-5411	20	4	special	special	ADJ
fcis-5411	20	5	candidate	candidate	NOUN
fcis-5411	20	6	item	item	NOUN
fcis-5411	20	7	set	set	NOUN
fcis-5411	20	8	,	,	PUNCT
fcis-5411	20	9	which	which	PRON
fcis-5411	20	10	can	can	AUX
fcis-5411	20	11	directly	directly	ADV
fcis-5411	20	12	calculate	calculate	VERB
fcis-5411	20	13	the	the	DET
fcis-5411	20	14	support	support	NOUN
fcis-5411	20	15	count	count	NOUN
fcis-5411	20	16	of	of	ADP
fcis-5411	20	17	each	each	DET
fcis-5411	20	18	item	item	NOUN
fcis-5411	20	19	in	in	ADP
fcis-5411	20	20	the	the	DET
fcis-5411	20	21	item	item	NOUN
fcis-5411	20	22	set	set	VERB
fcis-5411	20	23	,	,	PUNCT
fcis-5411	20	24	and	and	CCONJ
fcis-5411	20	25	delete	delete	VERB
fcis-5411	20	26	the	the	DET
fcis-5411	20	27	item	item	NOUN
fcis-5411	20	28	set	set	VERB
fcis-5411	20	29	whose	whose	DET
fcis-5411	20	30	support	support	NOUN
fcis-5411	20	31	count	count	NOUN
fcis-5411	20	32	is	be	AUX
fcis-5411	20	33	less	less	ADJ
fcis-5411	20	34	than	than	ADP
fcis-5411	20	35	the	the	DET
fcis-5411	20	36	minimum	minimum	ADJ
fcis-5411	20	37	support	support	NOUN
fcis-5411	20	38	count	count	NOUN
fcis-5411	20	39	.	.	PUNCT
fcis-5411	21	1	generate	generate	VERB
fcis-5411	21	2	frequent	frequent	ADJ
fcis-5411	21	3	itemsets	itemset	NOUN
fcis-5411	21	4	l1	l1	PROPN
fcis-5411	21	5	.	.	PUNCT
fcis-5411	22	1	connection	connection	NOUN
fcis-5411	22	2	step	step	NOUN
fcis-5411	22	3	:	:	PUNCT
fcis-5411	22	4	in	in	ADP
fcis-5411	22	5	order	order	NOUN
fcis-5411	22	6	to	to	PART
fcis-5411	22	7	find	find	VERB
fcis-5411	22	8	the	the	DET
fcis-5411	22	9	frequent	frequent	ADJ
fcis-5411	22	10	itemset	itemset	NOUN
fcis-5411	22	11	lk+1	lk+1	NOUN
fcis-5411	22	12	,	,	PUNCT
fcis-5411	22	13	connect	connect	VERB
fcis-5411	22	14	lk	lk	NOUN
fcis-5411	22	15	with	with	ADP
fcis-5411	22	16	itself	itself	PRON
fcis-5411	22	17	to	to	PART
fcis-5411	22	18	generate	generate	VERB
fcis-5411	22	19	a	a	DET
fcis-5411	22	20	set	set	NOUN
fcis-5411	22	21	of	of	ADP
fcis-5411	22	22	candidate	candidate	NOUN
fcis-5411	22	23	k+1	k+1	NOUN
fcis-5411	22	24	itemsets	itemset	NOUN
fcis-5411	22	25	(	(	PUNCT
fcis-5411	22	26	lk▷lk⇒(generate)ck+1	lk▷lk⇒(generate)ck+1	PROPN
fcis-5411	22	27	)	)	PUNCT
fcis-5411	22	28	,	,	PUNCT
fcis-5411	22	29	set	set	VERB
fcis-5411	22	30	lk={l1,l2	lk={l1,l2	NOUN
fcis-5411	22	31	,	,	PUNCT
fcis-5411	22	32	..	..	PUNCT
fcis-5411	22	33	.,lm	.,lm	PROPN
fcis-5411	22	34	}	}	PUNCT
fcis-5411	22	35	l1={a1,a2,	l1={a1,a2,	NOUN
fcis-5411	22	36	...	...	PUNCT
fcis-5411	22	37	,ak	,ak	PUNCT
fcis-5411	22	38	}	}	PUNCT
fcis-5411	22	39	l2={b1,b2,	l2={b1,b2,	NOUN
fcis-5411	22	40	...	...	PUNCT
fcis-5411	22	41	,bk	,bk	PUNCT
fcis-5411	22	42	}	}	PUNCT
fcis-5411	22	43	only	only	ADV
fcis-5411	22	44	guaranteed	guarantee	VERB
fcis-5411	22	45	condition	condition	NOUN
fcis-5411	22	46	a1	a1	NOUN
fcis-5411	22	47	=	=	ADJ
fcis-5411	22	48	b1,a2	b1,a2	NOUN
fcis-5411	22	49	=	=	SYM
fcis-5411	22	50	b2,	b2,	NOUN
fcis-5411	22	51	...	...	PUNCT
fcis-5411	22	52	,ak-1	,ak-1	PUNCT
fcis-5411	22	53	=	=	VERB
fcis-5411	22	54	bk	bk	NOUN
fcis-5411	22	55	-1,ak	-1,ak	NOUN
fcis-5411	22	56	<	<	X
fcis-5411	22	57	bk	bk	NOUN
fcis-5411	22	58	.	.	PUNCT
fcis-5411	23	1	the	the	DET
fcis-5411	23	2	resulting	result	VERB
fcis-5411	23	3	item	item	NOUN
fcis-5411	23	4	set	set	VERB
fcis-5411	23	5	produced	produce	VERB
fcis-5411	23	6	by	by	ADP
fcis-5411	23	7	joining	join	VERB
fcis-5411	23	8	l1	l1	PROPN
fcis-5411	23	9	and	and	CCONJ
fcis-5411	23	10	l2	l2	NOUN
fcis-5411	23	11	is	be	AUX
fcis-5411	23	12	{	{	PUNCT
fcis-5411	23	13	a1,a2,	a1,a2,	PROPN
fcis-5411	23	14	...	...	PUNCT
fcis-5411	23	15	,ak-1,ak	,ak-1,ak	NOUN
fcis-5411	23	16	,	,	PUNCT
fcis-5411	23	17	bk	bk	VERB
fcis-5411	23	18	}	}	PUNCT
fcis-5411	23	19	or	or	CCONJ
fcis-5411	23	20	{	{	PUNCT
fcis-5411	23	21	b1,b2,	b1,b2,	NOUN
fcis-5411	23	22	...	...	PUNCT
fcis-5411	23	23	,bk-1,ak	,bk-1,ak	NOUN
fcis-5411	23	24	,	,	PUNCT
fcis-5411	23	25	bk	bk	ADP
fcis-5411	23	26	}	}	PUNCT
fcis-5411	23	27	.	.	PUNCT
fcis-5411	24	1	pruning	prune	VERB
fcis-5411	24	2	step	step	NOUN
fcis-5411	24	3	:	:	PUNCT
fcis-5411	24	4	divided	divide	VERB
fcis-5411	24	5	into	into	ADP
fcis-5411	24	6	two	two	NUM
fcis-5411	24	7	steps	step	NOUN
fcis-5411	24	8	(	(	PUNCT
fcis-5411	24	9	1	1	X
fcis-5411	24	10	)	)	PUNCT
fcis-5411	24	11	find	find	VERB
fcis-5411	24	12	all	all	DET
fcis-5411	24	13	the	the	DET
fcis-5411	24	14	largest	large	ADJ
fcis-5411	24	15	non	non	ADJ
fcis-5411	24	16	-	-	ADJ
fcis-5411	24	17	empty	empty	ADJ
fcis-5411	24	18	proper	proper	ADJ
fcis-5411	24	19	subsets	subset	NOUN
fcis-5411	24	20	,	,	PUNCT
fcis-5411	24	21	scan	scan	ADJ
fcis-5411	24	22	lk	lk	PROPN
fcis-5411	24	23	,	,	PUNCT
fcis-5411	24	24	because	because	SCONJ
fcis-5411	24	25	a	a	DET
fcis-5411	24	26	new	new	ADJ
fcis-5411	24	27	element	element	NOUN
fcis-5411	24	28	is	be	AUX
fcis-5411	24	29	added	add	VERB
fcis-5411	24	30	,	,	PUNCT
fcis-5411	24	31	a	a	DET
fcis-5411	24	32	new	new	ADJ
fcis-5411	24	33	combination	combination	NOUN
fcis-5411	24	34	is	be	AUX
fcis-5411	24	35	generated	generate	VERB
fcis-5411	24	36	,	,	PUNCT
fcis-5411	24	37	scan	scan	VERB
fcis-5411	24	38	lk	lk	PROPN
fcis-5411	24	39	to	to	PART
fcis-5411	24	40	know	know	VERB
fcis-5411	24	41	whether	whether	SCONJ
fcis-5411	24	42	it	it	PRON
fcis-5411	24	43	is	be	AUX
fcis-5411	24	44	frequent	frequent	ADJ
fcis-5411	24	45	,	,	PUNCT
fcis-5411	24	46	according	accord	VERB
fcis-5411	24	47	to	to	ADP
fcis-5411	24	48	the	the	DET
fcis-5411	24	49	prior	prior	ADJ
fcis-5411	24	50	nature	nature	NOUN
fcis-5411	24	51	,	,	PUNCT
fcis-5411	24	52	any	any	DET
fcis-5411	24	53	infrequent	infrequent	ADJ
fcis-5411	24	54	k	k	NOUN
fcis-5411	24	55	-	-	NOUN
fcis-5411	24	56	itemset	itemset	NOUN
fcis-5411	24	57	is	be	AUX
fcis-5411	24	58	not	not	PART
fcis-5411	24	59	a	a	DET
fcis-5411	24	60	subset	subset	NOUN
fcis-5411	24	61	of	of	ADP
fcis-5411	24	62	the	the	DET
fcis-5411	24	63	frequent	frequent	ADJ
fcis-5411	24	64	k+1itemset	k+1itemset	NOUN
fcis-5411	24	65	,	,	PUNCT
fcis-5411	24	66	therefore	therefore	ADV
fcis-5411	24	67	,	,	PUNCT
fcis-5411	24	68	if	if	SCONJ
fcis-5411	24	69	the	the	DET
fcis-5411	24	70	k	k	NOUN
fcis-5411	24	71	-	-	PUNCT
fcis-5411	24	72	item	item	NOUN
fcis-5411	24	73	subset	subset	NOUN
fcis-5411	24	74	of	of	ADP
fcis-5411	24	75	a	a	DET
fcis-5411	24	76	candidate	candidate	NOUN
fcis-5411	24	77	k+1itemset	k+1itemset	NOUN
fcis-5411	24	78	is	be	AUX
fcis-5411	24	79	not	not	PART
fcis-5411	24	80	in	in	ADP
fcis-5411	24	81	lk	lk	PROPN
fcis-5411	24	82	,	,	PUNCT
fcis-5411	24	83	the	the	DET
fcis-5411	24	84	candidate	candidate	NOUN
fcis-5411	24	85	can	can	AUX
fcis-5411	24	86	not	not	PART
fcis-5411	24	87	be	be	AUX
fcis-5411	24	88	frequent	frequent	ADJ
fcis-5411	24	89	,	,	PUNCT
fcis-5411	24	90	so	so	ADV
fcis-5411	24	91	can	can	AUX
fcis-5411	24	92	be	be	AUX
fcis-5411	24	93	deleted	delete	VERB
fcis-5411	24	94	from	from	ADP
fcis-5411	24	95	ck+1	ck+1	ADJ
fcis-5411	24	96	.	.	PUNCT
fcis-5411	25	1	(	(	PUNCT
fcis-5411	25	2	2	2	X
fcis-5411	25	3	)	)	PUNCT
fcis-5411	25	4	scan	scan	NOUN
fcis-5411	25	5	the	the	DET
fcis-5411	25	6	database	database	NOUN
fcis-5411	26	1	d	d	X
fcis-5411	26	2	again	again	ADV
fcis-5411	26	3	to	to	PART
fcis-5411	26	4	obtain	obtain	VERB
fcis-5411	26	5	the	the	DET
fcis-5411	26	6	count	count	NOUN
fcis-5411	26	7	,	,	PUNCT
fcis-5411	26	8	delete	delete	VERB
fcis-5411	26	9	the	the	DET
fcis-5411	26	10	itemsets	itemset	NOUN
fcis-5411	26	11	whose	whose	DET
fcis-5411	26	12	support	support	NOUN
fcis-5411	26	13	count	count	NOUN
fcis-5411	26	14	is	be	AUX
fcis-5411	26	15	less	less	ADJ
fcis-5411	26	16	than	than	ADP
fcis-5411	26	17	the	the	DET
fcis-5411	26	18	minimum	minimum	ADJ
fcis-5411	26	19	support	support	NOUN
fcis-5411	26	20	count	count	NOUN
fcis-5411	26	21	,	,	PUNCT
fcis-5411	26	22	and	and	CCONJ
fcis-5411	26	23	obtain	obtain	VERB
fcis-5411	26	24	the	the	DET
fcis-5411	26	25	frequent	frequent	ADJ
fcis-5411	26	26	itemset	itemset	NOUN
fcis-5411	26	27	lk+1	lk+1	NOUN
fcis-5411	26	28	.	.	PUNCT
fcis-5411	27	1	the	the	DET
fcis-5411	27	2	connection	connection	NOUN
fcis-5411	27	3	step	step	NOUN
fcis-5411	27	4	and	and	CCONJ
fcis-5411	27	5	the	the	DET
fcis-5411	27	6	pruning	prune	VERB
fcis-5411	27	7	step	step	NOUN
fcis-5411	27	8	are	be	AUX
fcis-5411	27	9	cyclically	cyclically	ADV
fcis-5411	27	10	scanned	scan	VERB
fcis-5411	27	11	until	until	SCONJ
fcis-5411	27	12	lk	lk	PROPN
fcis-5411	27	13	can	can	AUX
fcis-5411	27	14	not	not	PART
fcis-5411	27	15	self	self	NOUN
fcis-5411	27	16	-	-	PUNCT
fcis-5411	27	17	connect	connect	NOUN
fcis-5411	27	18	to	to	PART
fcis-5411	27	19	generate	generate	VERB
fcis-5411	27	20	a	a	DET
fcis-5411	27	21	set	set	NOUN
fcis-5411	27	22	of	of	ADP
fcis-5411	27	23	candidate	candidate	NOUN
fcis-5411	27	24	k+1	k+1	NOUN
fcis-5411	27	25	itemsets	itemset	NOUN
fcis-5411	27	26	or	or	CCONJ
fcis-5411	27	27	an	an	DET
fcis-5411	27	28	infrequent	infrequent	ADJ
fcis-5411	27	29	itemset	itemset	NOUN
fcis-5411	27	30	,	,	PUNCT
fcis-5411	27	31	the	the	DET
fcis-5411	27	32	loop	loop	NOUN
fcis-5411	27	33	iteration	iteration	NOUN
fcis-5411	27	34	stops	stop	VERB
fcis-5411	27	35	,	,	PUNCT
fcis-5411	27	36	and	and	CCONJ
fcis-5411	27	37	all	all	DET
fcis-5411	27	38	frequent	frequent	ADJ
fcis-5411	27	39	itemsets	itemset	NOUN
fcis-5411	27	40	are	be	AUX
fcis-5411	27	41	found	find	VERB
fcis-5411	27	42	.	.	PUNCT
fcis-5411	28	1	3	3	X
fcis-5411	28	2	.	.	X
fcis-5411	28	3	improvement	improvement	NOUN
fcis-5411	28	4	of	of	ADP
fcis-5411	28	5	association	association	NOUN
fcis-5411	28	6	algorithm	algorithm	PROPN
fcis-5411	28	7	3.1	3.1	NUM
fcis-5411	28	8	.	.	PUNCT
fcis-5411	29	1	algorithm	algorithm	NOUN
fcis-5411	29	2	improvement	improvement	NOUN
fcis-5411	29	3	ideas	idea	NOUN
fcis-5411	29	4	existing	exist	VERB
fcis-5411	29	5	association	association	NOUN
fcis-5411	29	6	algorithms	algorithm	NOUN
fcis-5411	29	7	have	have	VERB
fcis-5411	29	8	certain	certain	ADJ
fcis-5411	29	9	limitations	limitation	NOUN
fcis-5411	29	10	[	[	X
fcis-5411	29	11	6	6	NUM
fcis-5411	29	12	]	]	PUNCT
fcis-5411	29	13	.	.	PUNCT
fcis-5411	30	1	on	on	ADP
fcis-5411	30	2	the	the	DET
fcis-5411	30	3	one	one	NUM
fcis-5411	30	4	hand	hand	NOUN
fcis-5411	30	5	,	,	PUNCT
fcis-5411	30	6	the	the	DET
fcis-5411	30	7	association	association	NOUN
fcis-5411	30	8	algorithm	algorithm	NOUN
fcis-5411	30	9	will	will	AUX
fcis-5411	30	10	continue	continue	VERB
fcis-5411	30	11	to	to	PART
fcis-5411	30	12	read	read	VERB
fcis-5411	30	13	the	the	DET
fcis-5411	30	14	database	database	NOUN
fcis-5411	30	15	information	information	NOUN
fcis-5411	30	16	when	when	SCONJ
fcis-5411	30	17	obtaining	obtain	VERB
fcis-5411	30	18	frequent	frequent	ADJ
fcis-5411	30	19	itemsets	itemset	NOUN
fcis-5411	30	20	,	,	PUNCT
fcis-5411	30	21	which	which	PRON
fcis-5411	30	22	makes	make	VERB
fcis-5411	30	23	the	the	DET
fcis-5411	30	24	algorithm	algorithm	NOUN
fcis-5411	30	25	very	very	ADV
fcis-5411	30	26	inefficient	inefficient	ADJ
fcis-5411	30	27	;	;	PUNCT
fcis-5411	30	28	on	on	ADP
fcis-5411	30	29	the	the	DET
fcis-5411	30	30	other	other	ADJ
fcis-5411	30	31	hand	hand	NOUN
fcis-5411	30	32	,	,	PUNCT
fcis-5411	30	33	the	the	DET
fcis-5411	30	34	association	association	NOUN
fcis-5411	30	35	algorithm	algorithm	NOUN
fcis-5411	30	36	can	can	AUX
fcis-5411	30	37	generate	generate	VERB
fcis-5411	30	38	new	new	ADJ
fcis-5411	30	39	candidate	candidate	NOUN
fcis-5411	30	40	itemsets	itemset	NOUN
fcis-5411	30	41	through	through	ADP
fcis-5411	30	42	the	the	DET
fcis-5411	30	43	connection	connection	NOUN
fcis-5411	30	44	step	step	NOUN
fcis-5411	30	45	,	,	PUNCT
fcis-5411	30	46	but	but	CCONJ
fcis-5411	30	47	it	it	PRON
fcis-5411	30	48	will	will	AUX
fcis-5411	30	49	generate	generate	VERB
fcis-5411	30	50	too	too	ADV
fcis-5411	30	51	many	many	ADJ
fcis-5411	30	52	duplicate	duplicate	ADJ
fcis-5411	30	53	itemsets	itemset	NOUN
fcis-5411	30	54	.	.	PUNCT
fcis-5411	31	1	it	it	PRON
fcis-5411	31	2	is	be	AUX
fcis-5411	31	3	necessary	necessary	ADJ
fcis-5411	31	4	to	to	PART
fcis-5411	31	5	compare	compare	VERB
fcis-5411	31	6	the	the	DET
fcis-5411	31	7	generated	generate	VERB
fcis-5411	31	8	itemsets	itemset	NOUN
fcis-5411	31	9	with	with	ADP
fcis-5411	31	10	the	the	DET
fcis-5411	31	11	database	database	NOUN
fcis-5411	31	12	to	to	PART
fcis-5411	31	13	obtain	obtain	VERB
fcis-5411	31	14	frequent	frequent	ADJ
fcis-5411	31	15	itemsets	itemset	NOUN
fcis-5411	31	16	,	,	PUNCT
fcis-5411	31	17	which	which	PRON
fcis-5411	31	18	consumes	consume	VERB
fcis-5411	31	19	a	a	DET
fcis-5411	31	20	lot	lot	NOUN
fcis-5411	31	21	of	of	ADP
fcis-5411	31	22	time	time	NOUN
fcis-5411	31	23	and	and	CCONJ
fcis-5411	31	24	space	space	NOUN
fcis-5411	31	25	.	.	PUNCT
fcis-5411	32	1	therefore	therefore	ADV
fcis-5411	32	2	,	,	PUNCT
fcis-5411	32	3	the	the	DET
fcis-5411	32	4	algorithm	algorithm	NOUN
fcis-5411	32	5	makes	make	VERB
fcis-5411	32	6	the	the	DET
fcis-5411	32	7	following	follow	VERB
fcis-5411	32	8	improvements	improvement	NOUN
fcis-5411	32	9	from	from	ADP
fcis-5411	32	10	these	these	DET
fcis-5411	32	11	two	two	NUM
fcis-5411	32	12	points	point	NOUN
fcis-5411	32	13	:	:	PUNCT
fcis-5411	32	14	(	(	PUNCT
fcis-5411	32	15	1	1	X
fcis-5411	32	16	)	)	PUNCT
fcis-5411	32	17	record	record	NOUN
fcis-5411	32	18	data	datum	NOUN
fcis-5411	32	19	in	in	ADP
fcis-5411	32	20	the	the	DET
fcis-5411	32	21	form	form	NOUN
fcis-5411	32	22	of	of	ADP
fcis-5411	32	23	a	a	DET
fcis-5411	32	24	matrix	matrix	NOUN
fcis-5411	32	25	and	and	CCONJ
fcis-5411	32	26	combine	combine	VERB
fcis-5411	32	27	the	the	DET
fcis-5411	32	28	idea	idea	NOUN
fcis-5411	32	29	of	of	ADP
fcis-5411	32	30	the	the	DET
fcis-5411	32	31	connection	connection	NOUN
fcis-5411	32	32	step	step	NOUN
fcis-5411	32	33	of	of	ADP
fcis-5411	32	34	the	the	DET
fcis-5411	32	35	classic	classic	ADJ
fcis-5411	32	36	98	98	NUM
fcis-5411	32	37	apriori	apriori	ADJ
fcis-5411	32	38	algorithm	algorithm	NOUN
fcis-5411	32	39	in	in	ADP
fcis-5411	32	40	the	the	DET
fcis-5411	32	41	association	association	NOUN
fcis-5411	32	42	algorithm	algorithm	NOUN
fcis-5411	32	43	to	to	ADP
fcis-5411	32	44	group	group	NOUN
fcis-5411	32	45	frequent	frequent	ADJ
fcis-5411	32	46	itemsets	itemset	NOUN
fcis-5411	32	47	so	so	SCONJ
fcis-5411	32	48	that	that	SCONJ
fcis-5411	32	49	the	the	DET
fcis-5411	32	50	connection	connection	NOUN
fcis-5411	32	51	generates	generate	VERB
fcis-5411	32	52	n+1dimensional	n+1dimensional	ADJ
fcis-5411	32	53	candidates	candidate	NOUN
fcis-5411	32	54	ensure	ensure	VERB
fcis-5411	32	55	that	that	SCONJ
fcis-5411	32	56	no	no	DET
fcis-5411	32	57	duplicates	duplicate	NOUN
fcis-5411	32	58	are	be	AUX
fcis-5411	32	59	generated	generate	VERB
fcis-5411	32	60	during	during	ADP
fcis-5411	32	61	the	the	DET
fcis-5411	32	62	set	set	NOUN
fcis-5411	32	63	,	,	PUNCT
fcis-5411	32	64	improving	improve	VERB
fcis-5411	32	65	the	the	DET
fcis-5411	32	66	efficiency	efficiency	NOUN
fcis-5411	32	67	of	of	ADP
fcis-5411	32	68	the	the	DET
fcis-5411	32	69	algorithm	algorithm	NOUN
fcis-5411	32	70	.	.	PUNCT
fcis-5411	33	1	(	(	PUNCT
fcis-5411	33	2	2	2	X
fcis-5411	33	3	)	)	PUNCT
fcis-5411	33	4	constantly	constantly	ADV
fcis-5411	33	5	pruning	prune	VERB
fcis-5411	33	6	and	and	CCONJ
fcis-5411	33	7	optimizing	optimize	VERB
fcis-5411	33	8	the	the	DET
fcis-5411	33	9	itemset	itemset	NOUN
fcis-5411	33	10	matrix	matrix	NOUN
fcis-5411	33	11	during	during	ADP
fcis-5411	33	12	the	the	DET
fcis-5411	33	13	algorithm	algorithm	NOUN
fcis-5411	33	14	operation	operation	NOUN
fcis-5411	33	15	,	,	PUNCT
fcis-5411	33	16	thereby	thereby	ADV
fcis-5411	33	17	reducing	reduce	VERB
fcis-5411	33	18	the	the	DET
fcis-5411	33	19	consumption	consumption	NOUN
fcis-5411	33	20	of	of	ADP
fcis-5411	33	21	memory	memory	NOUN
fcis-5411	33	22	and	and	CCONJ
fcis-5411	33	23	operation	operation	NOUN
fcis-5411	33	24	time	time	NOUN
fcis-5411	33	25	.	.	PUNCT
fcis-5411	34	1	3.2	3.2	NUM
fcis-5411	34	2	.	.	PUNCT
fcis-5411	34	3	algorithm	algorithm	NOUN
fcis-5411	34	4	process	process	NOUN
fcis-5411	34	5	enter	enter	VERB
fcis-5411	34	6	:	:	PUNCT
fcis-5411	34	7	d	d	X
fcis-5411	34	8	:	:	PUNCT
fcis-5411	34	9	transactional	transactional	ADJ
fcis-5411	34	10	database	database	NOUN
fcis-5411	34	11	min_sup	min_sup	NOUN
fcis-5411	34	12	:	:	PUNCT
fcis-5411	34	13	minimum	minimum	ADJ
fcis-5411	34	14	support	support	NOUN
fcis-5411	34	15	threshold	threshold	NOUN
fcis-5411	34	16	output	output	NOUN
fcis-5411	34	17	:	:	PUNCT
fcis-5411	34	18	l	l	NOUN
fcis-5411	34	19	:	:	PUNCT
fcis-5411	34	20	frequent	frequent	ADJ
fcis-5411	34	21	itemsets	itemset	NOUN
fcis-5411	34	22	in	in	ADP
fcis-5411	34	23	d	d	PROPN
fcis-5411	34	24	algorithm	algorithm	NOUN
fcis-5411	34	25	flow	flow	NOUN
fcis-5411	34	26	:	:	PUNCT
fcis-5411	34	27	(	(	PUNCT
fcis-5411	34	28	1	1	X
fcis-5411	34	29	)	)	PUNCT
fcis-5411	34	30	read	read	VERB
fcis-5411	34	31	the	the	DET
fcis-5411	34	32	transaction	transaction	NOUN
fcis-5411	34	33	information	information	NOUN
fcis-5411	34	34	sequentially	sequentially	ADV
fcis-5411	34	35	from	from	ADP
fcis-5411	34	36	the	the	DET
fcis-5411	34	37	database	database	NOUN
fcis-5411	34	38	,	,	PUNCT
fcis-5411	34	39	and	and	CCONJ
fcis-5411	34	40	perform	perform	VERB
fcis-5411	34	41	certain	certain	ADJ
fcis-5411	34	42	processing	processing	NOUN
fcis-5411	34	43	on	on	ADP
fcis-5411	34	44	it	it	PRON
fcis-5411	34	45	,	,	PUNCT
fcis-5411	34	46	and	and	CCONJ
fcis-5411	34	47	convert	convert	VERB
fcis-5411	34	48	it	it	PRON
fcis-5411	34	49	into	into	ADP
fcis-5411	34	50	a	a	DET
fcis-5411	34	51	boolean	boolean	ADJ
fcis-5411	34	52	value	value	NOUN
fcis-5411	34	53	,	,	PUNCT
fcis-5411	34	54	1	1	NUM
fcis-5411	34	55	if	if	SCONJ
fcis-5411	34	56	it	it	PRON
fcis-5411	34	57	exists	exist	VERB
fcis-5411	34	58	,	,	PUNCT
fcis-5411	34	59	and	and	CCONJ
fcis-5411	34	60	0	0	NUM
fcis-5411	34	61	if	if	SCONJ
fcis-5411	34	62	it	it	PRON
fcis-5411	34	63	does	do	AUX
fcis-5411	34	64	not	not	PART
fcis-5411	34	65	exist	exist	VERB
fcis-5411	34	66	,	,	PUNCT
fcis-5411	34	67	and	and	CCONJ
fcis-5411	34	68	generate	generate	VERB
fcis-5411	34	69	a	a	DET
fcis-5411	34	70	boolean	boolean	ADJ
fcis-5411	34	71	matrix	matrix	NOUN
fcis-5411	34	72	d1	d1	NOUN
fcis-5411	34	73	corresponding	correspond	VERB
fcis-5411	34	74	to	to	ADP
fcis-5411	34	75	the	the	DET
fcis-5411	34	76	database	database	NOUN
fcis-5411	34	77	d.	d.	PROPN
fcis-5411	34	78	calculate	calculate	VERB
fcis-5411	34	79	the	the	DET
fcis-5411	34	80	support	support	NOUN
fcis-5411	34	81	count	count	NOUN
fcis-5411	34	82	corresponding	correspond	VERB
fcis-5411	34	83	to	to	ADP
fcis-5411	34	84	each	each	DET
fcis-5411	34	85	item	item	NOUN
fcis-5411	34	86	,	,	PUNCT
fcis-5411	34	87	if	if	SCONJ
fcis-5411	34	88	it	it	PRON
fcis-5411	34	89	is	be	AUX
fcis-5411	34	90	less	less	ADJ
fcis-5411	34	91	than	than	ADP
fcis-5411	34	92	min_sup	min_sup	NOUN
fcis-5411	34	93	,	,	PUNCT
fcis-5411	34	94	delete	delete	VERB
fcis-5411	34	95	that	that	DET
fcis-5411	34	96	column	column	NOUN
fcis-5411	34	97	,	,	PUNCT
fcis-5411	34	98	and	and	CCONJ
fcis-5411	34	99	the	the	DET
fcis-5411	34	100	remaining	remain	VERB
fcis-5411	34	101	item	item	NOUN
fcis-5411	34	102	set	set	VERB
fcis-5411	34	103	is	be	AUX
fcis-5411	34	104	the	the	DET
fcis-5411	34	105	frequent	frequent	ADJ
fcis-5411	34	106	item	item	NOUN
fcis-5411	34	107	set	set	NOUN
fcis-5411	34	108	,	,	PUNCT
fcis-5411	34	109	and	and	CCONJ
fcis-5411	34	110	get	get	VERB
fcis-5411	34	111	the	the	DET
fcis-5411	34	112	frequent	frequent	ADJ
fcis-5411	34	113	item	item	NOUN
fcis-5411	34	114	set	set	NOUN
fcis-5411	34	115	matrix	matrix	NOUN
fcis-5411	34	116	d1	d1	NOUN
fcis-5411	34	117	(	(	PUNCT
fcis-5411	34	118	at	at	ADP
fcis-5411	34	119	this	this	DET
fcis-5411	34	120	time	time	NOUN
fcis-5411	34	121	,	,	PUNCT
fcis-5411	34	122	the	the	DET
fcis-5411	34	123	matrix	matrix	NOUN
fcis-5411	34	124	is	be	AUX
fcis-5411	34	125	deleting	delete	VERB
fcis-5411	34	126	non	non	ADJ
fcis-5411	34	127	-	-	ADJ
fcis-5411	34	128	frequent	frequent	ADJ
fcis-5411	34	129	items	item	NOUN
fcis-5411	34	130	set	set	VERB
fcis-5411	34	131	while	while	SCONJ
fcis-5411	34	132	rotating	rotate	VERB
fcis-5411	34	133	it	it	PRON
fcis-5411	34	134	into	into	ADP
fcis-5411	34	135	a	a	DET
fcis-5411	34	136	row	row	NOUN
fcis-5411	34	137	representing	represent	VERB
fcis-5411	34	138	the	the	DET
fcis-5411	34	139	item	item	NOUN
fcis-5411	34	140	set	set	NOUN
fcis-5411	34	141	,	,	PUNCT
fcis-5411	34	142	which	which	PRON
fcis-5411	34	143	is	be	AUX
fcis-5411	34	144	convenient	convenient	ADJ
fcis-5411	34	145	for	for	ADP
fcis-5411	34	146	subsequent	subsequent	ADJ
fcis-5411	34	147	code	code	NOUN
fcis-5411	34	148	processing	processing	NOUN
fcis-5411	34	149	)	)	PUNCT
fcis-5411	34	150	.	.	PUNCT
fcis-5411	35	1	(	(	PUNCT
fcis-5411	35	2	2	2	X
fcis-5411	35	3	)	)	PUNCT
fcis-5411	35	4	perform	perform	VERB
fcis-5411	35	5	an	an	PRON
fcis-5411	35	6	and	and	CCONJ
fcis-5411	35	7	operation	operation	NOUN
fcis-5411	35	8	on	on	ADP
fcis-5411	35	9	the	the	DET
fcis-5411	35	10	matrix	matrix	NOUN
fcis-5411	35	11	d1	d1	NOUN
fcis-5411	35	12	with	with	ADP
fcis-5411	35	13	the	the	DET
fcis-5411	35	14	subsequent	subsequent	ADJ
fcis-5411	35	15	rows	row	NOUN
fcis-5411	35	16	starting	start	VERB
fcis-5411	35	17	from	from	ADP
fcis-5411	35	18	the	the	DET
fcis-5411	35	19	first	first	ADJ
fcis-5411	35	20	row	row	NOUN
fcis-5411	35	21	,	,	PUNCT
fcis-5411	35	22	and	and	CCONJ
fcis-5411	35	23	obtain	obtain	VERB
fcis-5411	35	24	the	the	DET
fcis-5411	35	25	combined	combine	VERB
fcis-5411	35	26	support	support	NOUN
fcis-5411	35	27	count	count	NOUN
fcis-5411	35	28	at	at	ADP
fcis-5411	35	29	the	the	DET
fcis-5411	35	30	same	same	ADJ
fcis-5411	35	31	time	time	NOUN
fcis-5411	35	32	as	as	ADP
fcis-5411	35	33	the	the	DET
fcis-5411	35	34	operation	operation	NOUN
fcis-5411	35	35	.	.	PUNCT
fcis-5411	36	1	if	if	SCONJ
fcis-5411	36	2	it	it	PRON
fcis-5411	36	3	is	be	AUX
fcis-5411	36	4	less	less	ADJ
fcis-5411	36	5	than	than	ADP
fcis-5411	36	6	min_sup	min_sup	NOUN
fcis-5411	36	7	,	,	PUNCT
fcis-5411	36	8	it	it	PRON
fcis-5411	36	9	will	will	AUX
fcis-5411	36	10	be	be	AUX
fcis-5411	36	11	discarded	discard	VERB
fcis-5411	36	12	directly	directly	ADV
fcis-5411	36	13	.	.	PUNCT
fcis-5411	37	1	if	if	SCONJ
fcis-5411	37	2	it	it	PRON
fcis-5411	37	3	is	be	AUX
fcis-5411	37	4	greater	great	ADJ
fcis-5411	37	5	than	than	ADP
fcis-5411	37	6	min_sup	min_sup	NOUN
fcis-5411	37	7	,	,	PUNCT
fcis-5411	37	8	it	it	PRON
fcis-5411	37	9	will	will	AUX
fcis-5411	37	10	be	be	AUX
fcis-5411	37	11	retained	retain	VERB
fcis-5411	37	12	and	and	CCONJ
fcis-5411	37	13	used	use	VERB
fcis-5411	37	14	to	to	PART
fcis-5411	37	15	generate	generate	VERB
fcis-5411	37	16	new	new	ADJ
fcis-5411	37	17	matrix	matrix	NOUN
fcis-5411	37	18	d2	d2	NOUN
fcis-5411	37	19	.	.	PUNCT
fcis-5411	38	1	in	in	ADP
fcis-5411	38	2	this	this	DET
fcis-5411	38	3	process	process	NOUN
fcis-5411	38	4	,	,	PUNCT
fcis-5411	38	5	the	the	DET
fcis-5411	38	6	newly	newly	ADV
fcis-5411	38	7	generated	generate	VERB
fcis-5411	38	8	vectors	vector	NOUN
fcis-5411	38	9	with	with	ADP
fcis-5411	38	10	a	a	DET
fcis-5411	38	11	support	support	NOUN
fcis-5411	38	12	count	count	VERB
fcis-5411	38	13	greater	great	ADJ
fcis-5411	38	14	than	than	SCONJ
fcis-5411	38	15	min_sup	min_sup	PROPN
fcis-5411	38	16	should	should	AUX
fcis-5411	38	17	be	be	AUX
fcis-5411	38	18	grouped	group	VERB
fcis-5411	38	19	into	into	ADP
fcis-5411	38	20	new	new	ADJ
fcis-5411	38	21	groups	group	NOUN
fcis-5411	38	22	.	.	PUNCT
fcis-5411	39	1	for	for	ADP
fcis-5411	39	2	example	example	NOUN
fcis-5411	39	3	,	,	PUNCT
fcis-5411	39	4	the	the	DET
fcis-5411	39	5	first	first	ADJ
fcis-5411	39	6	row	row	NOUN
fcis-5411	39	7	and	and	CCONJ
fcis-5411	39	8	the	the	DET
fcis-5411	39	9	subsequent	subsequent	ADJ
fcis-5411	39	10	row	row	NOUN
fcis-5411	39	11	are	be	AUX
fcis-5411	39	12	grouped	group	VERB
fcis-5411	39	13	together	together	ADV
fcis-5411	39	14	,	,	PUNCT
fcis-5411	39	15	the	the	DET
fcis-5411	39	16	second	second	ADJ
fcis-5411	39	17	row	row	NOUN
fcis-5411	39	18	and	and	CCONJ
fcis-5411	39	19	the	the	DET
fcis-5411	39	20	subsequent	subsequent	ADJ
fcis-5411	39	21	row	row	NOUN
fcis-5411	39	22	are	be	AUX
fcis-5411	39	23	grouped	group	VERB
fcis-5411	39	24	together	together	ADV
fcis-5411	39	25	,	,	PUNCT
fcis-5411	39	26	and	and	CCONJ
fcis-5411	39	27	so	so	ADV
fcis-5411	39	28	on	on	ADV
fcis-5411	39	29	.	.	PUNCT
fcis-5411	39	30	.	.	PUNCT
fcis-5411	40	1	(	(	PUNCT
fcis-5411	40	2	3	3	X
fcis-5411	40	3	)	)	PUNCT
fcis-5411	40	4	find	find	VERB
fcis-5411	40	5	frequent	frequent	ADJ
fcis-5411	40	6	k	k	NOUN
fcis-5411	40	7	-	-	ADJ
fcis-5411	40	8	itemsets	itemset	NOUN
fcis-5411	40	9	(	(	PUNCT
fcis-5411	40	10	k>2	k>2	NOUN
fcis-5411	40	11	)	)	PUNCT
fcis-5411	40	12	.	.	PUNCT
fcis-5411	41	1	starting	start	VERB
fcis-5411	41	2	from	from	ADP
fcis-5411	41	3	the	the	DET
fcis-5411	41	4	frequent	frequent	ADJ
fcis-5411	41	5	binomial	binomial	ADJ
fcis-5411	41	6	set	set	NOUN
fcis-5411	41	7	,	,	PUNCT
fcis-5411	41	8	put	put	VERB
fcis-5411	41	9	the	the	DET
fcis-5411	41	10	frequent	frequent	ADJ
fcis-5411	41	11	binomial	binomial	ADJ
fcis-5411	41	12	set	set	NOUN
fcis-5411	41	13	matrix	matrix	NOUN
fcis-5411	41	14	into	into	ADP
fcis-5411	41	15	a	a	DET
fcis-5411	41	16	queue	queue	NOUN
fcis-5411	41	17	in	in	ADP
fcis-5411	41	18	order	order	NOUN
fcis-5411	41	19	according	accord	VERB
fcis-5411	41	20	to	to	ADP
fcis-5411	41	21	the	the	DET
fcis-5411	41	22	divided	divide	VERB
fcis-5411	41	23	groups	group	NOUN
fcis-5411	41	24	.	.	PUNCT
fcis-5411	42	1	if	if	SCONJ
fcis-5411	42	2	the	the	DET
fcis-5411	42	3	number	number	NOUN
fcis-5411	42	4	of	of	ADP
fcis-5411	42	5	vectors	vector	NOUN
fcis-5411	42	6	in	in	ADP
fcis-5411	42	7	the	the	DET
fcis-5411	42	8	group	group	NOUN
fcis-5411	42	9	is	be	AUX
fcis-5411	42	10	less	less	ADJ
fcis-5411	42	11	than	than	ADP
fcis-5411	42	12	2	2	NUM
fcis-5411	42	13	,	,	PUNCT
fcis-5411	42	14	just	just	ADV
fcis-5411	42	15	give	give	VERB
fcis-5411	42	16	up	up	ADP
fcis-5411	42	17	(	(	PUNCT
fcis-5411	42	18	because	because	SCONJ
fcis-5411	42	19	the	the	PRON
fcis-5411	42	20	and	and	CCONJ
fcis-5411	42	21	operation	operation	NOUN
fcis-5411	42	22	can	can	AUX
fcis-5411	42	23	not	not	PART
fcis-5411	42	24	be	be	AUX
fcis-5411	42	25	performed	perform	VERB
fcis-5411	42	26	to	to	PART
fcis-5411	42	27	generate	generate	VERB
fcis-5411	42	28	a	a	DET
fcis-5411	42	29	new	new	ADJ
fcis-5411	42	30	vector	vector	NOUN
fcis-5411	42	31	)	)	PUNCT
fcis-5411	42	32	,	,	PUNCT
fcis-5411	42	33	and	and	CCONJ
fcis-5411	42	34	then	then	ADV
fcis-5411	42	35	carry	carry	VERB
fcis-5411	42	36	out	out	ADP
fcis-5411	42	37	each	each	DET
fcis-5411	42	38	group	group	NOUN
fcis-5411	42	39	in	in	ADP
fcis-5411	42	40	turn	turn	NOUN
fcis-5411	42	41	according	accord	VERB
fcis-5411	42	42	to	to	ADP
fcis-5411	42	43	step	step	NOUN
fcis-5411	42	44	2	2	NUM
fcis-5411	42	45	,	,	PUNCT
fcis-5411	42	46	and	and	CCONJ
fcis-5411	42	47	then	then	ADV
fcis-5411	42	48	continue	continue	VERB
fcis-5411	42	49	to	to	PART
fcis-5411	42	50	put	put	VERB
fcis-5411	42	51	it	it	PRON
fcis-5411	42	52	at	at	ADP
fcis-5411	42	53	the	the	DET
fcis-5411	42	54	end	end	NOUN
fcis-5411	42	55	of	of	ADP
fcis-5411	42	56	the	the	DET
fcis-5411	42	57	queue	queue	NOUN
fcis-5411	42	58	after	after	SCONJ
fcis-5411	42	59	a	a	DET
fcis-5411	42	60	new	new	ADJ
fcis-5411	42	61	group	group	NOUN
fcis-5411	42	62	is	be	AUX
fcis-5411	42	63	generated	generate	VERB
fcis-5411	42	64	.	.	PUNCT
fcis-5411	43	1	when	when	SCONJ
fcis-5411	43	2	the	the	DET
fcis-5411	43	3	queue	queue	NOUN
fcis-5411	43	4	is	be	AUX
fcis-5411	43	5	empty	empty	ADJ
fcis-5411	43	6	,	,	PUNCT
fcis-5411	43	7	it	it	PRON
fcis-5411	43	8	means	mean	VERB
fcis-5411	43	9	that	that	SCONJ
fcis-5411	43	10	no	no	DET
fcis-5411	43	11	new	new	ADJ
fcis-5411	43	12	frequent	frequent	ADJ
fcis-5411	43	13	itemsets	itemset	NOUN
fcis-5411	43	14	can	can	AUX
fcis-5411	43	15	be	be	AUX
fcis-5411	43	16	generated	generate	VERB
fcis-5411	43	17	,	,	PUNCT
fcis-5411	43	18	exit	exit	VERB
fcis-5411	43	19	the	the	DET
fcis-5411	43	20	loop	loop	NOUN
fcis-5411	43	21	,	,	PUNCT
fcis-5411	43	22	and	and	CCONJ
fcis-5411	43	23	find	find	VERB
fcis-5411	43	24	all	all	DET
fcis-5411	43	25	frequent	frequent	ADJ
fcis-5411	43	26	itemsets	itemset	NOUN
fcis-5411	43	27	.	.	PUNCT
fcis-5411	44	1	4	4	X
fcis-5411	44	2	.	.	X
fcis-5411	44	3	algorithm	algorithm	NOUN
fcis-5411	44	4	analysis	analysis	NOUN
fcis-5411	44	5	and	and	CCONJ
fcis-5411	44	6	experimental	experimental	ADJ
fcis-5411	44	7	comparison	comparison	NOUN
fcis-5411	44	8	4.1	4.1	NUM
fcis-5411	44	9	.	.	PUNCT
fcis-5411	45	1	algorithm	algorithm	NOUN
fcis-5411	45	2	analysis	analysis	NOUN
fcis-5411	45	3	compared	compare	VERB
fcis-5411	45	4	with	with	ADP
fcis-5411	45	5	the	the	DET
fcis-5411	45	6	apriori	apriori	ADJ
fcis-5411	45	7	algorithm	algorithm	NOUN
fcis-5411	45	8	and	and	CCONJ
fcis-5411	45	9	existing	exist	VERB
fcis-5411	45	10	improved	improved	ADJ
fcis-5411	45	11	methods	method	NOUN
fcis-5411	45	12	,	,	PUNCT
fcis-5411	45	13	this	this	DET
fcis-5411	45	14	algorithm	algorithm	NOUN
fcis-5411	45	15	has	have	VERB
fcis-5411	45	16	the	the	DET
fcis-5411	45	17	following	following	ADJ
fcis-5411	45	18	advantages	advantage	NOUN
fcis-5411	45	19	:	:	PUNCT
fcis-5411	45	20	this	this	DET
fcis-5411	45	21	algorithm	algorithm	NOUN
fcis-5411	45	22	records	record	VERB
fcis-5411	45	23	the	the	DET
fcis-5411	45	24	data	datum	NOUN
fcis-5411	45	25	read	read	VERB
fcis-5411	45	26	from	from	ADP
fcis-5411	45	27	the	the	DET
fcis-5411	45	28	database	database	NOUN
fcis-5411	45	29	in	in	ADP
fcis-5411	45	30	the	the	DET
fcis-5411	45	31	form	form	NOUN
fcis-5411	45	32	of	of	ADP
fcis-5411	45	33	a	a	DET
fcis-5411	45	34	matrix	matrix	NOUN
fcis-5411	45	35	.	.	PUNCT
fcis-5411	46	1	support	support	NOUN
fcis-5411	46	2	counting	count	VERB
fcis-5411	46	3	only	only	ADV
fcis-5411	46	4	needs	need	VERB
fcis-5411	46	5	to	to	PART
fcis-5411	46	6	perform	perform	VERB
fcis-5411	46	7	an	an	DET
fcis-5411	46	8	and	and	CCONJ
fcis-5411	46	9	operation	operation	NOUN
fcis-5411	46	10	on	on	ADP
fcis-5411	46	11	the	the	DET
fcis-5411	46	12	matrix	matrix	NOUN
fcis-5411	46	13	vector	vector	NOUN
fcis-5411	46	14	without	without	ADP
fcis-5411	46	15	scanning	scan	VERB
fcis-5411	46	16	the	the	DET
fcis-5411	46	17	database	database	NOUN
fcis-5411	46	18	multiple	multiple	ADJ
fcis-5411	46	19	times	time	NOUN
fcis-5411	46	20	.	.	PUNCT
fcis-5411	47	1	in	in	ADP
fcis-5411	47	2	the	the	DET
fcis-5411	47	3	process	process	NOUN
fcis-5411	47	4	of	of	ADP
fcis-5411	47	5	operation	operation	NOUN
fcis-5411	47	6	,	,	PUNCT
fcis-5411	47	7	a	a	DET
fcis-5411	47	8	new	new	ADJ
fcis-5411	47	9	frequent	frequent	ADJ
fcis-5411	47	10	item	item	NOUN
fcis-5411	47	11	set	set	NOUN
fcis-5411	47	12	,	,	PUNCT
fcis-5411	47	13	that	that	ADV
fcis-5411	47	14	is	is	ADV
fcis-5411	47	15	,	,	PUNCT
fcis-5411	47	16	a	a	DET
fcis-5411	47	17	new	new	ADJ
fcis-5411	47	18	matrix	matrix	NOUN
fcis-5411	47	19	vector	vector	NOUN
fcis-5411	47	20	,	,	PUNCT
fcis-5411	47	21	will	will	AUX
fcis-5411	47	22	be	be	AUX
fcis-5411	47	23	generated	generate	VERB
fcis-5411	47	24	to	to	PART
fcis-5411	47	25	replace	replace	VERB
fcis-5411	47	26	the	the	DET
fcis-5411	47	27	previous	previous	ADJ
fcis-5411	47	28	vector	vector	NOUN
fcis-5411	47	29	,	,	PUNCT
fcis-5411	47	30	thereby	thereby	ADV
fcis-5411	47	31	continuously	continuously	ADV
fcis-5411	47	32	reducing	reduce	VERB
fcis-5411	47	33	and	and	CCONJ
fcis-5411	47	34	compressing	compress	VERB
fcis-5411	47	35	the	the	DET
fcis-5411	47	36	matrix	matrix	NOUN
fcis-5411	47	37	and	and	CCONJ
fcis-5411	47	38	improving	improve	VERB
fcis-5411	47	39	memory	memory	NOUN
fcis-5411	47	40	utilization	utilization	NOUN
fcis-5411	47	41	.	.	PUNCT
fcis-5411	48	1	group	group	NOUN
fcis-5411	48	2	the	the	DET
fcis-5411	48	3	newly	newly	ADV
fcis-5411	48	4	generated	generate	VERB
fcis-5411	48	5	frequent	frequent	ADJ
fcis-5411	48	6	itemsets	itemset	NOUN
fcis-5411	48	7	starting	start	VERB
fcis-5411	48	8	from	from	ADP
fcis-5411	48	9	frequent	frequent	ADJ
fcis-5411	48	10	binomial	binomial	ADJ
fcis-5411	48	11	sets	set	NOUN
fcis-5411	48	12	,	,	PUNCT
fcis-5411	48	13	such	such	ADJ
fcis-5411	48	14	as	as	ADP
fcis-5411	48	15	{	{	PUNCT
fcis-5411	48	16	i1	i1	PROPN
fcis-5411	48	17	,	,	PUNCT
fcis-5411	48	18	i2	i2	PROPN
fcis-5411	48	19	,	,	PUNCT
fcis-5411	48	20	i3	i3	PROPN
fcis-5411	48	21	}	}	PUNCT
fcis-5411	48	22	{	{	PUNCT
fcis-5411	48	23	i1	i1	PROPN
fcis-5411	48	24	,	,	PUNCT
fcis-5411	48	25	i2	i2	PROPN
fcis-5411	48	26	,	,	PUNCT
fcis-5411	48	27	i4	i4	PROPN
fcis-5411	48	28	}	}	PUNCT
fcis-5411	48	29	into	into	ADP
fcis-5411	48	30	a	a	DET
fcis-5411	48	31	group	group	NOUN
fcis-5411	48	32	{	{	PUNCT
fcis-5411	48	33	i1	i1	PROPN
fcis-5411	48	34	,	,	PUNCT
fcis-5411	48	35	i3	i3	PROPN
fcis-5411	48	36	,	,	PUNCT
fcis-5411	48	37	i5	i5	PROPN
fcis-5411	48	38	}	}	PUNCT
fcis-5411	48	39	,	,	PUNCT
fcis-5411	48	40	{	{	PUNCT
fcis-5411	48	41	i1	i1	NOUN
fcis-5411	48	42	,	,	PUNCT
fcis-5411	48	43	i3	i3	NOUN
fcis-5411	48	44	,	,	PUNCT
fcis-5411	48	45	i6	i6	NOUN
fcis-5411	48	46	}	}	PUNCT
fcis-5411	48	47	divided	divide	VERB
fcis-5411	48	48	into	into	ADP
fcis-5411	48	49	a	a	DET
fcis-5411	48	50	group	group	NOUN
fcis-5411	48	51	,	,	PUNCT
fcis-5411	48	52	this	this	PRON
fcis-5411	48	53	is	be	AUX
fcis-5411	48	54	done	do	VERB
fcis-5411	48	55	by	by	ADP
fcis-5411	48	56	referring	refer	VERB
fcis-5411	48	57	to	to	ADP
fcis-5411	48	58	the	the	DET
fcis-5411	48	59	connection	connection	NOUN
fcis-5411	48	60	step	step	NOUN
fcis-5411	48	61	of	of	ADP
fcis-5411	48	62	the	the	DET
fcis-5411	48	63	original	original	ADJ
fcis-5411	48	64	apriori	apriori	ADJ
fcis-5411	48	65	algorithm	algorithm	NOUN
fcis-5411	48	66	,	,	PUNCT
fcis-5411	48	67	which	which	PRON
fcis-5411	48	68	can	can	AUX
fcis-5411	48	69	make	make	VERB
fcis-5411	48	70	the	the	DET
fcis-5411	48	71	newly	newly	ADV
fcis-5411	48	72	generated	generate	VERB
fcis-5411	48	73	itemset	itemset	VERB
fcis-5411	48	74	unique	unique	ADJ
fcis-5411	48	75	and	and	CCONJ
fcis-5411	48	76	orderly	orderly	ADJ
fcis-5411	48	77	,	,	PUNCT
fcis-5411	48	78	avoid	avoid	VERB
fcis-5411	48	79	generating	generate	VERB
fcis-5411	48	80	duplicate	duplicate	ADJ
fcis-5411	48	81	item	item	NOUN
fcis-5411	48	82	sets	set	NOUN
fcis-5411	48	83	,	,	PUNCT
fcis-5411	48	84	thus	thus	ADV
fcis-5411	48	85	saving	save	VERB
fcis-5411	48	86	a	a	DET
fcis-5411	48	87	lot	lot	NOUN
fcis-5411	48	88	of	of	ADP
fcis-5411	48	89	time	time	NOUN
fcis-5411	48	90	.	.	PUNCT
fcis-5411	49	1	when	when	SCONJ
fcis-5411	49	2	putting	put	VERB
fcis-5411	49	3	the	the	DET
fcis-5411	49	4	newly	newly	ADV
fcis-5411	49	5	generated	generate	VERB
fcis-5411	49	6	item	item	NOUN
fcis-5411	49	7	set	set	VERB
fcis-5411	49	8	group	group	NOUN
fcis-5411	49	9	into	into	ADP
fcis-5411	49	10	the	the	DET
fcis-5411	49	11	queue	queue	NOUN
fcis-5411	49	12	,	,	PUNCT
fcis-5411	49	13	if	if	SCONJ
fcis-5411	49	14	the	the	DET
fcis-5411	49	15	number	number	NOUN
fcis-5411	49	16	of	of	ADP
fcis-5411	49	17	items	item	NOUN
fcis-5411	49	18	sets	set	NOUN
fcis-5411	49	19	in	in	ADP
fcis-5411	49	20	the	the	DET
fcis-5411	49	21	item	item	NOUN
fcis-5411	49	22	set	set	NOUN
fcis-5411	49	23	group	group	NOUN
fcis-5411	49	24	is	be	AUX
fcis-5411	49	25	less	less	ADJ
fcis-5411	49	26	than	than	ADP
fcis-5411	49	27	2	2	NUM
fcis-5411	49	28	,	,	PUNCT
fcis-5411	49	29	it	it	PRON
fcis-5411	49	30	will	will	AUX
fcis-5411	49	31	be	be	AUX
fcis-5411	49	32	discarded	discard	VERB
fcis-5411	49	33	,	,	PUNCT
fcis-5411	49	34	which	which	PRON
fcis-5411	49	35	has	have	VERB
fcis-5411	49	36	a	a	DET
fcis-5411	49	37	certain	certain	ADJ
fcis-5411	49	38	pruning	pruning	NOUN
fcis-5411	49	39	effect	effect	NOUN
fcis-5411	49	40	and	and	CCONJ
fcis-5411	49	41	saves	save	VERB
fcis-5411	49	42	a	a	DET
fcis-5411	49	43	certain	certain	ADJ
fcis-5411	49	44	amount	amount	NOUN
fcis-5411	49	45	of	of	ADP
fcis-5411	49	46	time	time	NOUN
fcis-5411	49	47	.	.	PUNCT
fcis-5411	50	1	4.2	4.2	NUM
fcis-5411	50	2	.	.	PUNCT
fcis-5411	50	3	example	example	NOUN
fcis-5411	50	4	analysis	analysis	NOUN
fcis-5411	50	5	the	the	DET
fcis-5411	50	6	following	follow	VERB
fcis-5411	50	7	is	be	AUX
fcis-5411	50	8	an	an	DET
fcis-5411	50	9	example	example	NOUN
fcis-5411	50	10	to	to	PART
fcis-5411	50	11	analyze	analyze	VERB
fcis-5411	50	12	the	the	DET
fcis-5411	50	13	data	datum	NOUN
fcis-5411	50	14	mining	mining	NOUN
fcis-5411	50	15	process	process	NOUN
fcis-5411	50	16	of	of	ADP
fcis-5411	50	17	the	the	DET
fcis-5411	50	18	improved	improved	ADJ
fcis-5411	50	19	algorithm	algorithm	NOUN
fcis-5411	50	20	.	.	PUNCT
fcis-5411	51	1	the	the	DET
fcis-5411	51	2	data	datum	NOUN
fcis-5411	51	3	set	set	VERB
fcis-5411	51	4	selected	select	VERB
fcis-5411	51	5	in	in	ADP
fcis-5411	51	6	this	this	DET
fcis-5411	51	7	research	research	NOUN
fcis-5411	51	8	comes	come	VERB
fcis-5411	51	9	from	from	ADP
fcis-5411	51	10	the	the	DET
fcis-5411	51	11	default	default	NOUN
fcis-5411	51	12	of	of	ADP
fcis-5411	51	13	credit	credit	NOUN
fcis-5411	51	14	card	card	NOUN
fcis-5411	51	15	clients	client	NOUN
fcis-5411	51	16	data	datum	NOUN
fcis-5411	51	17	set	set	VERB
fcis-5411	51	18	data	datum	NOUN
fcis-5411	51	19	set	set	VERB
fcis-5411	51	20	in	in	ADP
fcis-5411	51	21	the	the	DET
fcis-5411	51	22	uci	uci	PROPN
fcis-5411	51	23	data	data	PROPN
fcis-5411	51	24	set	set	VERB
fcis-5411	51	25	.	.	PUNCT
fcis-5411	52	1	here	here	ADV
fcis-5411	52	2	,	,	PUNCT
fcis-5411	52	3	9	9	NUM
fcis-5411	52	4	of	of	ADP
fcis-5411	52	5	the	the	DET
fcis-5411	52	6	data	datum	NOUN
fcis-5411	52	7	are	be	AUX
fcis-5411	52	8	intercepted	intercept	VERB
fcis-5411	52	9	for	for	ADP
fcis-5411	52	10	instance	instance	NOUN
fcis-5411	52	11	analysis	analysis	NOUN
fcis-5411	52	12	,	,	PUNCT
fcis-5411	52	13	and	and	CCONJ
fcis-5411	52	14	the	the	DET
fcis-5411	52	15	minimum	minimum	ADJ
fcis-5411	52	16	support	support	NOUN
fcis-5411	52	17	is	be	AUX
fcis-5411	52	18	set	set	VERB
fcis-5411	52	19	to	to	ADP
fcis-5411	52	20	3	3	NUM
fcis-5411	52	21	.	.	PUNCT
fcis-5411	53	1	the	the	DET
fcis-5411	53	2	data	datum	NOUN
fcis-5411	53	3	are	be	AUX
fcis-5411	53	4	shown	show	VERB
fcis-5411	53	5	in	in	ADP
fcis-5411	53	6	the	the	DET
fcis-5411	53	7	table	table	NOUN
fcis-5411	53	8	below	below	ADV
fcis-5411	53	9	.	.	PUNCT
fcis-5411	54	1	table	table	NOUN
fcis-5411	54	2	1	1	NUM
fcis-5411	54	3	.	.	PUNCT
fcis-5411	54	4	example	example	NOUN
fcis-5411	54	5	analysis	analysis	NOUN
fcis-5411	54	6	data	datum	NOUN
fcis-5411	54	7	set	set	VERB
fcis-5411	54	8	tid	tid	NOUN
fcis-5411	54	9	(	(	PUNCT
fcis-5411	54	10	transaction	transaction	NOUN
fcis-5411	54	11	)	)	PUNCT
fcis-5411	54	12	item	item	NOUN
fcis-5411	54	13	set	set	VERB
fcis-5411	54	14	t1	t1	NOUN
fcis-5411	54	15	i1,i2,i3	i1,i2,i3	ADV
fcis-5411	54	16	t2	t2	AUX
fcis-5411	54	17	i2,i4,i5	i2,i4,i5	VERB
fcis-5411	54	18	t3	t3	PROPN
fcis-5411	54	19	i1,i2,i3,i6	i1,i2,i3,i6	PROPN
fcis-5411	54	20	t4	t4	PROPN
fcis-5411	54	21	i2,i4,i6	i2,i4,i6	PROPN
fcis-5411	54	22	t5	t5	PROPN
fcis-5411	54	23	i2,i3,i4	i2,i3,i4	PROPN
fcis-5411	54	24	t6	t6	PROPN
fcis-5411	54	25	i1,i3,i4	i1,i3,i4	PROPN
fcis-5411	54	26	t7	t7	PROPN
fcis-5411	54	27	i1,i2,i3,i6	i1,i2,i3,i6	PROPN
fcis-5411	54	28	t8	t8	PROPN
fcis-5411	54	29	i3,i4	i3,i4	PROPN
fcis-5411	54	30	t9	t9	PROPN
fcis-5411	54	31	i1,i3,i4,i5	i1,i3,i4,i5	PROPN
fcis-5411	54	32	(	(	PUNCT
fcis-5411	54	33	1	1	X
fcis-5411	54	34	)	)	PUNCT
fcis-5411	54	35	read	read	VERB
fcis-5411	54	36	the	the	DET
fcis-5411	54	37	database	database	NOUN
fcis-5411	54	38	in	in	ADP
fcis-5411	54	39	turn	turn	NOUN
fcis-5411	54	40	,	,	PUNCT
fcis-5411	54	41	set	set	VERB
fcis-5411	54	42	the	the	DET
fcis-5411	54	43	items	item	NOUN
fcis-5411	54	44	that	that	PRON
fcis-5411	54	45	exist	exist	VERB
fcis-5411	54	46	in	in	ADP
fcis-5411	54	47	the	the	DET
fcis-5411	54	48	transaction	transaction	NOUN
fcis-5411	54	49	to	to	ADP
fcis-5411	54	50	0	0	NUM
fcis-5411	54	51	,	,	PUNCT
fcis-5411	54	52	and	and	CCONJ
fcis-5411	54	53	set	set	VERB
fcis-5411	54	54	the	the	DET
fcis-5411	54	55	items	item	NOUN
fcis-5411	54	56	that	that	PRON
fcis-5411	54	57	do	do	AUX
fcis-5411	54	58	not	not	PART
fcis-5411	54	59	exist	exist	VERB
fcis-5411	54	60	to	to	ADP
fcis-5411	54	61	1	1	NUM
fcis-5411	54	62	.	.	PUNCT
fcis-5411	55	1	for	for	ADP
fcis-5411	55	2	example	example	NOUN
fcis-5411	55	3	,	,	PUNCT
fcis-5411	55	4	the	the	DET
fcis-5411	55	5	items	item	NOUN
fcis-5411	55	6	read	read	VERB
fcis-5411	55	7	from	from	ADP
fcis-5411	55	8	transaction	transaction	NOUN
fcis-5411	55	9	t1	t1	NOUN
fcis-5411	55	10	are	be	AUX
fcis-5411	55	11	i1	i1	PROPN
fcis-5411	55	12	,	,	PUNCT
fcis-5411	55	13	i2	i2	PROPN
fcis-5411	55	14	,	,	PUNCT
fcis-5411	55	15	and	and	CCONJ
fcis-5411	55	16	i3	i3	NOUN
fcis-5411	55	17	,	,	PUNCT
fcis-5411	55	18	and	and	CCONJ
fcis-5411	55	19	the	the	DET
fcis-5411	55	20	matrix	matrix	NOUN
fcis-5411	55	21	vector	vector	NOUN
fcis-5411	55	22	obtained	obtain	VERB
fcis-5411	55	23	is	be	AUX
fcis-5411	55	24	111000	111000	NUM
fcis-5411	55	25	.	.	PUNCT
fcis-5411	56	1	read	read	VERB
fcis-5411	56	2	all	all	DET
fcis-5411	56	3	things	thing	NOUN
fcis-5411	56	4	generate	generate	VERB
fcis-5411	56	5	the	the	DET
fcis-5411	56	6	following	follow	VERB
fcis-5411	56	7	boolean	boolean	ADJ
fcis-5411	56	8	matrix	matrix	NOUN
fcis-5411	56	9	:	:	PUNCT
fcis-5411	57	1			PROPN
fcis-5411	57	2			PROPN
fcis-5411	57	3			PUNCT
fcis-5411	58	1			PUNCT
fcis-5411	59	1			PUNCT
fcis-5411	60	1			PUNCT
fcis-5411	61	1			PUNCT
fcis-5411	62	1			PUNCT
fcis-5411	63	1			NOUN
fcis-5411	64	1			PUNCT
fcis-5411	65	1			NOUN
fcis-5411	65	2			PROPN
fcis-5411	65	3			PROPN
fcis-5411	65	4			X
fcis-5411	65	5			NOUN
fcis-5411	65	6			NOUN
fcis-5411	65	7			NOUN
fcis-5411	65	8			NOUN
fcis-5411	65	9			NOUN
fcis-5411	65	10			NOUN
fcis-5411	65	11			NOUN
fcis-5411	65	12			NOUN
fcis-5411	65	13			NOUN
fcis-5411	65	14			NOUN
fcis-5411	65	15			NOUN
fcis-5411	65	16			NOUN
fcis-5411	65	17			NOUN
fcis-5411	65	18			PROPN
fcis-5411	65	19	=	=	NOUN
fcis-5411	65	20	011101	011101	NUM
fcis-5411	65	21	001100	001100	NUM
fcis-5411	65	22	100111	100111	NUM
fcis-5411	65	23	001101	001101	NUM
fcis-5411	65	24	001110	001110	NUM
fcis-5411	65	25	101010	101010	NUM
fcis-5411	65	26	100111	100111	NUM
fcis-5411	65	27	011010	011010	NUM
fcis-5411	65	28	000111	000111	NUM
fcis-5411	65	29	d	d	NOUN
fcis-5411	65	30	calculate	calculate	VERB
fcis-5411	65	31	the	the	DET
fcis-5411	65	32	support	support	NOUN
fcis-5411	65	33	count	count	NOUN
fcis-5411	65	34	of	of	ADP
fcis-5411	65	35	the	the	DET
fcis-5411	65	36	grid	grid	NOUN
fcis-5411	65	37	column	column	NOUN
fcis-5411	65	38	as	as	SCONJ
fcis-5411	65	39	shown	show	VERB
fcis-5411	65	40	in	in	ADP
fcis-5411	65	41	the	the	DET
fcis-5411	65	42	following	follow	VERB
fcis-5411	65	43	table	table	NOUN
fcis-5411	65	44	:	:	PUNCT
fcis-5411	65	45	table	table	NOUN
fcis-5411	65	46	2	2	NUM
fcis-5411	65	47	.	.	X
fcis-5411	65	48	support	support	NOUN
fcis-5411	65	49	count	count	NOUN
fcis-5411	65	50	item	item	NOUN
fcis-5411	65	51	set	set	NOUN
fcis-5411	65	52	{	{	PUNCT
fcis-5411	65	53	i1	i1	PROPN
fcis-5411	65	54	}	}	PUNCT
fcis-5411	65	55	{	{	PUNCT
fcis-5411	65	56	i2	i2	PROPN
fcis-5411	65	57	}	}	PUNCT
fcis-5411	65	58	{	{	PUNCT
fcis-5411	65	59	i3	i3	NOUN
fcis-5411	65	60	}	}	PUNCT
fcis-5411	65	61	{	{	PUNCT
fcis-5411	65	62	i4	i4	PROPN
fcis-5411	65	63	}	}	PUNCT
fcis-5411	65	64	{	{	PUNCT
fcis-5411	65	65	i5	i5	NOUN
fcis-5411	65	66	}	}	PUNCT
fcis-5411	65	67	{	{	PUNCT
fcis-5411	65	68	i6	i6	NOUN
fcis-5411	65	69	}	}	PUNCT
fcis-5411	65	70	support	support	NOUN
fcis-5411	65	71	count	count	NOUN
fcis-5411	65	72	5	5	NUM
fcis-5411	65	73	6	6	NUM
fcis-5411	65	74	7	7	NUM
fcis-5411	65	75	6	6	NUM
fcis-5411	65	76	2	2	NUM
fcis-5411	65	77	3	3	NUM
fcis-5411	65	78	it	it	PRON
fcis-5411	65	79	can	can	AUX
fcis-5411	65	80	be	be	AUX
fcis-5411	65	81	seen	see	VERB
fcis-5411	65	82	that	that	SCONJ
fcis-5411	65	83	the	the	DET
fcis-5411	65	84	support	support	NOUN
fcis-5411	65	85	count	count	NOUN
fcis-5411	65	86	of	of	ADP
fcis-5411	65	87	the	the	DET
fcis-5411	65	88	itemset	itemset	NOUN
fcis-5411	65	89	{	{	PUNCT
fcis-5411	65	90	i5	i5	NOUN
fcis-5411	65	91	}	}	PUNCT
fcis-5411	65	92	is	be	AUX
fcis-5411	65	93	2	2	NUM
fcis-5411	65	94	,	,	PUNCT
fcis-5411	65	95	which	which	PRON
fcis-5411	65	96	is	be	AUX
fcis-5411	65	97	less	less	ADJ
fcis-5411	65	98	than	than	ADP
fcis-5411	65	99	the	the	DET
fcis-5411	65	100	minimum	minimum	ADJ
fcis-5411	65	101	support	support	NOUN
fcis-5411	65	102	count	count	NOUN
fcis-5411	65	103	of	of	ADP
fcis-5411	65	104	3	3	NUM
fcis-5411	65	105	,	,	PUNCT
fcis-5411	65	106	so	so	ADV
fcis-5411	65	107	the	the	DET
fcis-5411	65	108	itemset	itemset	NOUN
fcis-5411	65	109	{	{	PUNCT
fcis-5411	65	110	i5	i5	NOUN
fcis-5411	65	111	}	}	PUNCT
fcis-5411	65	112	is	be	AUX
fcis-5411	65	113	an	an	DET
fcis-5411	65	114	infrequent	infrequent	ADJ
fcis-5411	65	115	itemset	itemset	NOUN
fcis-5411	65	116	,	,	PUNCT
fcis-5411	65	117	if	if	SCONJ
fcis-5411	65	118	it	it	PRON
fcis-5411	65	119	is	be	AUX
fcis-5411	65	120	deleted	delete	VERB
fcis-5411	65	121	,	,	PUNCT
fcis-5411	65	122	the	the	DET
fcis-5411	65	123	frequent	frequent	ADJ
fcis-5411	65	124	item	item	NOUN
fcis-5411	65	125	set	set	VERB
fcis-5411	65	126	is	be	AUX
fcis-5411	65	127	{	{	PUNCT
fcis-5411	65	128	{	{	PUNCT
fcis-5411	65	129	i1	i1	NOUN
fcis-5411	65	130	}	}	PUNCT
fcis-5411	65	131	,	,	PUNCT
fcis-5411	65	132	{	{	PUNCT
fcis-5411	65	133	i2	i2	PROPN
fcis-5411	65	134	}	}	PUNCT
fcis-5411	65	135	,	,	PUNCT
fcis-5411	65	136	{	{	PUNCT
fcis-5411	65	137	i3	i3	NOUN
fcis-5411	65	138	}	}	PUNCT
fcis-5411	65	139	,	,	PUNCT
fcis-5411	65	140	{	{	PUNCT
fcis-5411	65	141	i4	i4	PROPN
fcis-5411	65	142	}	}	PUNCT
fcis-5411	65	143	,	,	PUNCT
fcis-5411	65	144	{	{	PUNCT
fcis-5411	65	145	i6	i6	NOUN
fcis-5411	65	146	}	}	PUNCT
fcis-5411	65	147	}	}	PUNCT
fcis-5411	65	148	,	,	PUNCT
fcis-5411	65	149	generate	generate	VERB
fcis-5411	65	150	a	a	DET
fcis-5411	65	151	new	new	ADJ
fcis-5411	65	152	frequent	frequent	ADJ
fcis-5411	65	153	item	item	NOUN
fcis-5411	65	154	set	set	NOUN
fcis-5411	65	155	matrix	matrix	NOUN
fcis-5411	65	156	as	as	SCONJ
fcis-5411	65	157	shown	show	VERB
fcis-5411	65	158	in	in	ADP
fcis-5411	65	159	the	the	DET
fcis-5411	65	160	figure	figure	NOUN
fcis-5411	65	161	below	below	ADV
fcis-5411	65	162	,	,	PUNCT
fcis-5411	65	163	where	where	SCONJ
fcis-5411	65	164	the	the	DET
fcis-5411	65	165	rows	row	NOUN
fcis-5411	65	166	and	and	CCONJ
fcis-5411	65	167	columns	column	NOUN
fcis-5411	65	168	of	of	ADP
fcis-5411	65	169	the	the	DET
fcis-5411	65	170	matrix	matrix	NOUN
fcis-5411	65	171	have	have	AUX
fcis-5411	65	172	been	be	AUX
fcis-5411	65	173	converted	convert	VERB
fcis-5411	65	174	,	,	PUNCT
fcis-5411	65	175	which	which	PRON
fcis-5411	65	176	is	be	AUX
fcis-5411	65	177	a	a	DET
fcis-5411	65	178	matrix	matrix	NOUN
fcis-5411	65	179	converted	convert	VERB
fcis-5411	65	180	while	while	SCONJ
fcis-5411	65	181	pruning	prune	VERB
fcis-5411	65	182	,	,	PUNCT
fcis-5411	65	183	without	without	ADP
fcis-5411	65	184	extra	extra	ADJ
fcis-5411	65	185	time	time	NOUN
fcis-5411	65	186	consuming	consume	VERB
fcis-5411	65	187	.	.	PUNCT
fcis-5411	66	1	99	99	NUM
fcis-5411	66	2			NOUN
fcis-5411	66	3			PROPN
fcis-5411	67	1			PUNCT
fcis-5411	68	1			PUNCT
fcis-5411	68	2			NOUN
fcis-5411	69	1			PUNCT
fcis-5411	69	2			NOUN
fcis-5411	69	3			PROPN
fcis-5411	69	4			PROPN
fcis-5411	69	5			X
fcis-5411	69	6			NOUN
fcis-5411	69	7			NOUN
fcis-5411	69	8			NOUN
fcis-5411	69	9			NOUN
fcis-5411	69	10			NOUN
fcis-5411	69	11			NOUN
fcis-5411	69	12			NOUN
fcis-5411	69	13			NOUN
fcis-5411	69	14			NOUN
fcis-5411	69	15			PROPN
fcis-5411	69	16	=	=	NOUN
fcis-5411	69	17	001001100	001001100	NUM
fcis-5411	69	18	100000010	100000010	NUM
fcis-5411	69	19	110111010	110111010	NUM
fcis-5411	69	20	111110101	111110101	NUM
fcis-5411	69	21	001011111	001011111	NUM
fcis-5411	69	22	101100101	101100101	NUM
fcis-5411	69	23	d	d	NOUN
fcis-5411	69	24	6	6	NUM
fcis-5411	69	25	5	5	NUM
fcis-5411	69	26	4	4	NUM
fcis-5411	69	27	3	3	NUM
fcis-5411	69	28	2	2	NUM
fcis-5411	69	29	1	1	NUM
fcis-5411	70	1	i	i	PRON
fcis-5411	70	2	i	i	PRON
fcis-5411	71	1	i	i	PRON
fcis-5411	71	2	i	i	PRON
fcis-5411	72	1	i	i	PRON
fcis-5411	72	2	i	i	PRON
fcis-5411	72	3	(	(	PUNCT
fcis-5411	72	4	2)the	2)the	NUM
fcis-5411	72	5	candidate	candidate	NOUN
fcis-5411	72	6	binomial	binomial	ADJ
fcis-5411	72	7	set	set	VERB
fcis-5411	72	8	vector	vector	NOUN
fcis-5411	72	9	is	be	AUX
fcis-5411	72	10	obtained	obtain	VERB
fcis-5411	72	11	by	by	ADP
fcis-5411	72	12	performing	perform	VERB
fcis-5411	72	13	and	and	CCONJ
fcis-5411	72	14	operation	operation	NOUN
fcis-5411	72	15	on	on	ADP
fcis-5411	72	16	the	the	DET
fcis-5411	72	17	frequent	frequent	ADJ
fcis-5411	72	18	item	item	NOUN
fcis-5411	72	19	set	set	NOUN
fcis-5411	72	20	matrix	matrix	NOUN
fcis-5411	72	21	from	from	ADP
fcis-5411	72	22	the	the	DET
fcis-5411	72	23	first	first	ADJ
fcis-5411	72	24	row	row	NOUN
fcis-5411	72	25	vector	vector	NOUN
fcis-5411	72	26	,	,	PUNCT
fcis-5411	72	27	such	such	ADJ
fcis-5411	72	28	as	as	ADP
fcis-5411	72	29	the	the	DET
fcis-5411	72	30	first	first	ADJ
fcis-5411	72	31	row	row	NOUN
fcis-5411	72	32	{	{	PUNCT
fcis-5411	72	33	i1	i1	NOUN
fcis-5411	72	34	}	}	PUNCT
fcis-5411	72	35	and	and	CCONJ
fcis-5411	72	36	the	the	DET
fcis-5411	72	37	second	second	ADJ
fcis-5411	72	38	row	row	NOUN
fcis-5411	72	39	{	{	PUNCT
fcis-5411	72	40	i2	i2	NOUN
fcis-5411	72	41	}	}	PUNCT
fcis-5411	72	42	to	to	PART
fcis-5411	72	43	generate	generate	VERB
fcis-5411	72	44	{	{	PUNCT
fcis-5411	72	45	i1,i2}=	i1,i2}=	PROPN
fcis-5411	72	46	{	{	PUNCT
fcis-5411	72	47	1,0,1,0,0,0,1,0,0	1,0,1,0,0,0,1,0,0	NUM
fcis-5411	72	48	}	}	PUNCT
fcis-5411	72	49	,	,	PUNCT
fcis-5411	72	50	and	and	CCONJ
fcis-5411	72	51	its	its	PRON
fcis-5411	72	52	support	support	NOUN
fcis-5411	72	53	count	count	NOUN
fcis-5411	72	54	is	be	AUX
fcis-5411	72	55	calculated	calculate	VERB
fcis-5411	72	56	as	as	ADP
fcis-5411	72	57	3	3	NUM
fcis-5411	72	58	,	,	PUNCT
fcis-5411	72	59	which	which	PRON
fcis-5411	72	60	meets	meet	VERB
fcis-5411	72	61	the	the	DET
fcis-5411	72	62	requirements	requirement	NOUN
fcis-5411	72	63	of	of	ADP
fcis-5411	72	64	the	the	DET
fcis-5411	72	65	minimum	minimum	ADJ
fcis-5411	72	66	support	support	NOUN
fcis-5411	72	67	count	count	NOUN
fcis-5411	72	68	,	,	PUNCT
fcis-5411	72	69	and	and	CCONJ
fcis-5411	72	70	{	{	PUNCT
fcis-5411	72	71	i1,i2	i1,i2	PROPN
fcis-5411	72	72	}	}	PUNCT
fcis-5411	72	73	is	be	AUX
fcis-5411	72	74	a	a	DET
fcis-5411	72	75	frequent	frequent	ADJ
fcis-5411	72	76	binomial	binomial	ADJ
fcis-5411	72	77	set	set	NOUN
fcis-5411	72	78	.	.	PUNCT
fcis-5411	73	1	the	the	DET
fcis-5411	73	2	following	follow	VERB
fcis-5411	73	3	steps	step	NOUN
fcis-5411	73	4	can	can	AUX
fcis-5411	73	5	be	be	AUX
fcis-5411	73	6	followed	follow	VERB
fcis-5411	73	7	to	to	PART
fcis-5411	73	8	obtain	obtain	VERB
fcis-5411	73	9	the	the	DET
fcis-5411	73	10	frequent	frequent	ADJ
fcis-5411	73	11	binomial	binomial	ADJ
fcis-5411	73	12	set	set	NOUN
fcis-5411	73	13	matrix	matrix	NOUN
fcis-5411	73	14	:	:	PUNCT
fcis-5411	74	1			PROPN
fcis-5411	74	2			PROPN
fcis-5411	74	3			PUNCT
fcis-5411	74	4			PUNCT
fcis-5411	75	1			NOUN
fcis-5411	75	2			PROPN
fcis-5411	75	3			PROPN
fcis-5411	75	4			X
fcis-5411	75	5			NOUN
fcis-5411	75	6			NOUN
fcis-5411	75	7			NOUN
fcis-5411	75	8			NOUN
fcis-5411	75	9			NOUN
fcis-5411	75	10			NOUN
fcis-5411	75	11			NOUN
fcis-5411	75	12			PROPN
fcis-5411	75	13	=	=	SYM
fcis-5411	75	14	110110000	110110000	NUM
fcis-5411	75	15	000011010	000011010	NUM
fcis-5411	75	16	001010101	001010101	NUM
fcis-5411	75	17	101100101	101100101	NUM
fcis-5411	75	18	001000101	001000101	NUM
fcis-5411	76	1	d	d	X
fcis-5411	76	2	}	}	PUNCT
fcis-5411	76	3	4,3	4,3	NUM
fcis-5411	76	4	{	{	PUNCT
fcis-5411	76	5	}	}	PUNCT
fcis-5411	76	6	4,2	4,2	X
fcis-5411	76	7	{	{	PUNCT
fcis-5411	76	8	}	}	PUNCT
fcis-5411	76	9	3,2	3,2	NUM
fcis-5411	76	10	{	{	PUNCT
fcis-5411	76	11	}	}	PUNCT
fcis-5411	76	12	3,1	3,1	NOUN
fcis-5411	76	13	{	{	PUNCT
fcis-5411	76	14	}	}	SYM
fcis-5411	76	15	2,1	2,1	NUM
fcis-5411	76	16	{	{	PUNCT
fcis-5411	76	17	ii	ii	PROPN
fcis-5411	76	18	ii	ii	PROPN
fcis-5411	76	19	ii	ii	PROPN
fcis-5411	76	20	ii	ii	PROPN
fcis-5411	76	21	ii	ii	PROPN
fcis-5411	76	22	(	(	PUNCT
fcis-5411	76	23	3)while	3)while	NUM
fcis-5411	76	24	obtaining	obtain	VERB
fcis-5411	76	25	the	the	DET
fcis-5411	76	26	frequent	frequent	ADJ
fcis-5411	76	27	binomial	binomial	ADJ
fcis-5411	76	28	set	set	NOUN
fcis-5411	76	29	matrix	matrix	NOUN
fcis-5411	76	30	,	,	PUNCT
fcis-5411	76	31	group	group	NOUN
fcis-5411	76	32	the	the	DET
fcis-5411	76	33	vectors	vector	NOUN
fcis-5411	76	34	of	of	ADP
fcis-5411	76	35	the	the	DET
fcis-5411	76	36	matrix	matrix	NOUN
fcis-5411	76	37	,	,	PUNCT
fcis-5411	76	38	{	{	PUNCT
fcis-5411	76	39	i1,i2}{i1,i3	i1,i2}{i1,i3	NOUN
fcis-5411	76	40	}	}	PUNCT
fcis-5411	76	41	into	into	ADP
fcis-5411	76	42	a	a	DET
fcis-5411	76	43	group	group	NOUN
fcis-5411	76	44	,	,	PUNCT
fcis-5411	76	45	{	{	PUNCT
fcis-5411	76	46	i2,i3}{i2,i4	i2,i3}{i2,i4	ADV
fcis-5411	76	47	}	}	PUNCT
fcis-5411	76	48	into	into	ADP
fcis-5411	76	49	a	a	DET
fcis-5411	76	50	group	group	NOUN
fcis-5411	76	51	,	,	PUNCT
fcis-5411	76	52	{	{	PUNCT
fcis-5411	76	53	i3	i3	NOUN
fcis-5411	76	54	,	,	PUNCT
fcis-5411	76	55	i4	i4	PROPN
fcis-5411	76	56	}	}	PUNCT
fcis-5411	76	57	divide	divide	VERB
fcis-5411	76	58	into	into	ADP
fcis-5411	76	59	one	one	NUM
fcis-5411	76	60	group	group	NOUN
fcis-5411	76	61	,	,	PUNCT
fcis-5411	76	62	record	record	VERB
fcis-5411	76	63	the	the	DET
fcis-5411	76	64	number	number	NOUN
fcis-5411	76	65	of	of	ADP
fcis-5411	76	66	vectors	vector	NOUN
fcis-5411	76	67	in	in	ADP
fcis-5411	76	68	each	each	DET
fcis-5411	76	69	group	group	NOUN
fcis-5411	76	70	,	,	PUNCT
fcis-5411	76	71	create	create	VERB
fcis-5411	76	72	a	a	DET
fcis-5411	76	73	vector	vector	NOUN
fcis-5411	76	74	queue	queue	NOUN
fcis-5411	76	75	queue	queue	NOUN
fcis-5411	76	76	,	,	PUNCT
fcis-5411	76	77	and	and	CCONJ
fcis-5411	76	78	put	put	VERB
fcis-5411	76	79	the	the	DET
fcis-5411	76	80	divided	divide	VERB
fcis-5411	76	81	groups	group	NOUN
fcis-5411	76	82	with	with	ADP
fcis-5411	76	83	the	the	DET
fcis-5411	76	84	number	number	NOUN
fcis-5411	76	85	of	of	ADP
fcis-5411	76	86	vectors	vector	NOUN
fcis-5411	76	87	greater	great	ADJ
fcis-5411	76	88	than	than	ADP
fcis-5411	76	89	or	or	CCONJ
fcis-5411	76	90	equal	equal	ADJ
fcis-5411	76	91	to	to	ADP
fcis-5411	76	92	2	2	NUM
fcis-5411	76	93	into	into	ADP
fcis-5411	76	94	the	the	DET
fcis-5411	76	95	queue	queue	NOUN
fcis-5411	76	96	in	in	ADP
fcis-5411	76	97	turn	turn	NOUN
fcis-5411	76	98	,	,	PUNCT
fcis-5411	76	99	as	as	SCONJ
fcis-5411	76	100	shown	show	VERB
fcis-5411	76	101	in	in	ADP
fcis-5411	76	102	the	the	DET
fcis-5411	76	103	following	follow	VERB
fcis-5411	76	104	table	table	NOUN
fcis-5411	76	105	:	:	PUNCT
fcis-5411	76	106	table	table	NOUN
fcis-5411	76	107	3	3	NUM
fcis-5411	76	108	.	.	PUNCT
fcis-5411	76	109	vector	vector	NOUN
fcis-5411	76	110	grouping	grouping	NOUN
fcis-5411	76	111	0	0	NUM
fcis-5411	76	112	1	1	NUM
fcis-5411	76	113	{	{	PUNCT
fcis-5411	76	114	i1	i1	PROPN
fcis-5411	76	115	,	,	PUNCT
fcis-5411	76	116	i2	i2	PROPN
fcis-5411	76	117	}	}	PUNCT
fcis-5411	76	118	{	{	PUNCT
fcis-5411	76	119	i1	i1	PROPN
fcis-5411	76	120	,	,	PUNCT
fcis-5411	76	121	i3	i3	PROPN
fcis-5411	76	122	}	}	PUNCT
fcis-5411	76	123	{	{	PUNCT
fcis-5411	76	124	i2	i2	PROPN
fcis-5411	76	125	,	,	PUNCT
fcis-5411	76	126	i3	i3	PROPN
fcis-5411	76	127	}	}	PUNCT
fcis-5411	76	128	{	{	PUNCT
fcis-5411	76	129	i2	i2	PROPN
fcis-5411	76	130	,	,	PUNCT
fcis-5411	76	131	i4	i4	PROPN
fcis-5411	76	132	}	}	PUNCT
fcis-5411	76	133	(	(	PUNCT
fcis-5411	76	134	4	4	X
fcis-5411	76	135	)	)	PUNCT
fcis-5411	76	136	enter	enter	VERB
fcis-5411	76	137	the	the	DET
fcis-5411	76	138	loop	loop	NOUN
fcis-5411	76	139	when	when	SCONJ
fcis-5411	76	140	the	the	DET
fcis-5411	76	141	queue	queue	NOUN
fcis-5411	76	142	is	be	AUX
fcis-5411	76	143	not	not	PART
fcis-5411	76	144	empty	empty	ADJ
fcis-5411	76	145	,	,	PUNCT
fcis-5411	76	146	take	take	VERB
fcis-5411	76	147	out	out	ADP
fcis-5411	76	148	the	the	DET
fcis-5411	76	149	vector	vector	NOUN
fcis-5411	76	150	group	group	NOUN
fcis-5411	76	151	at	at	ADP
fcis-5411	76	152	the	the	DET
fcis-5411	76	153	top	top	NOUN
fcis-5411	76	154	of	of	ADP
fcis-5411	76	155	the	the	DET
fcis-5411	76	156	queue	queue	NOUN
fcis-5411	76	157	,	,	PUNCT
fcis-5411	76	158	and	and	CCONJ
fcis-5411	76	159	execute	execute	VERB
fcis-5411	76	160	step	step	NOUN
fcis-5411	76	161	(	(	PUNCT
fcis-5411	76	162	2	2	NUM
fcis-5411	76	163	)	)	PUNCT
fcis-5411	76	164	.	.	PUNCT
fcis-5411	77	1	get	get	VERB
fcis-5411	77	2	a	a	DET
fcis-5411	77	3	new	new	ADJ
fcis-5411	77	4	itemset	itemset	NOUN
fcis-5411	77	5	{	{	PUNCT
fcis-5411	77	6	i1	i1	PROPN
fcis-5411	77	7	,	,	PUNCT
fcis-5411	77	8	i2	i2	PROPN
fcis-5411	77	9	,	,	PUNCT
fcis-5411	77	10	i3	i3	NOUN
fcis-5411	77	11	}	}	PUNCT
fcis-5411	77	12	,	,	PUNCT
fcis-5411	77	13	and	and	CCONJ
fcis-5411	77	14	calculate	calculate	VERB
fcis-5411	77	15	the	the	DET
fcis-5411	77	16	support	support	NOUN
fcis-5411	77	17	count	count	NOUN
fcis-5411	77	18	of	of	ADP
fcis-5411	77	19	the	the	DET
fcis-5411	77	20	second	second	ADJ
fcis-5411	77	21	frequent	frequent	ADJ
fcis-5411	77	22	itemset	itemset	NOUN
fcis-5411	77	23	to	to	PART
fcis-5411	77	24	be	be	AUX
fcis-5411	77	25	3	3	NUM
fcis-5411	77	26	,	,	PUNCT
fcis-5411	77	27	so	so	SCONJ
fcis-5411	77	28	this	this	DET
fcis-5411	77	29	item	item	NOUN
fcis-5411	77	30	set	set	VERB
fcis-5411	77	31	is	be	AUX
fcis-5411	77	32	a	a	DET
fcis-5411	77	33	frequent	frequent	ADJ
fcis-5411	77	34	itemset	itemset	NOUN
fcis-5411	77	35	.	.	PUNCT
fcis-5411	78	1	however	however	ADV
fcis-5411	78	2	,	,	PUNCT
fcis-5411	78	3	since	since	SCONJ
fcis-5411	78	4	there	there	PRON
fcis-5411	78	5	is	be	VERB
fcis-5411	78	6	only	only	ADV
fcis-5411	78	7	one	one	NUM
fcis-5411	78	8	vector	vector	NOUN
fcis-5411	78	9	generated	generate	VERB
fcis-5411	78	10	by	by	ADP
fcis-5411	78	11	this	this	DET
fcis-5411	78	12	group	group	NOUN
fcis-5411	78	13	,	,	PUNCT
fcis-5411	78	14	new	new	ADJ
fcis-5411	78	15	vectors	vector	NOUN
fcis-5411	78	16	can	can	AUX
fcis-5411	78	17	not	not	PART
fcis-5411	78	18	be	be	AUX
fcis-5411	78	19	generated	generate	VERB
fcis-5411	78	20	by	by	ADP
fcis-5411	78	21	connecting	connect	VERB
fcis-5411	78	22	within	within	ADP
fcis-5411	78	23	the	the	DET
fcis-5411	78	24	group	group	NOUN
fcis-5411	78	25	at	at	ADP
fcis-5411	78	26	this	this	DET
fcis-5411	78	27	time	time	NOUN
fcis-5411	78	28	,	,	PUNCT
fcis-5411	78	29	so	so	SCONJ
fcis-5411	78	30	it	it	PRON
fcis-5411	78	31	does	do	AUX
fcis-5411	78	32	not	not	PART
fcis-5411	78	33	need	need	VERB
fcis-5411	78	34	to	to	PART
fcis-5411	78	35	be	be	AUX
fcis-5411	78	36	placed	place	VERB
fcis-5411	78	37	at	at	ADP
fcis-5411	78	38	the	the	DET
fcis-5411	78	39	end	end	NOUN
fcis-5411	78	40	of	of	ADP
fcis-5411	78	41	the	the	DET
fcis-5411	78	42	queue	queue	NOUN
fcis-5411	78	43	.	.	PUNCT
fcis-5411	79	1	loop	loop	NOUN
fcis-5411	79	2	in	in	ADP
fcis-5411	79	3	this	this	DET
fcis-5411	79	4	way	way	NOUN
fcis-5411	79	5	until	until	SCONJ
fcis-5411	79	6	the	the	DET
fcis-5411	79	7	queue	queue	NOUN
fcis-5411	79	8	is	be	AUX
fcis-5411	79	9	empty	empty	ADJ
fcis-5411	79	10	,	,	PUNCT
fcis-5411	79	11	exit	exit	VERB
fcis-5411	79	12	the	the	DET
fcis-5411	79	13	loop	loop	NOUN
fcis-5411	79	14	,	,	PUNCT
fcis-5411	79	15	and	and	CCONJ
fcis-5411	79	16	find	find	VERB
fcis-5411	79	17	all	all	DET
fcis-5411	79	18	frequent	frequent	ADJ
fcis-5411	79	19	itemsets	itemset	NOUN
fcis-5411	79	20	.	.	PUNCT
fcis-5411	80	1	4.3	4.3	NUM
fcis-5411	80	2	.	.	PUNCT
fcis-5411	80	3	analysis	analysis	NOUN
fcis-5411	80	4	of	of	ADP
fcis-5411	80	5	mining	mining	NOUN
fcis-5411	80	6	results	result	NOUN
fcis-5411	80	7	in	in	ADP
fcis-5411	80	8	order	order	NOUN
fcis-5411	80	9	to	to	PART
fcis-5411	80	10	compare	compare	VERB
fcis-5411	80	11	the	the	DET
fcis-5411	80	12	efficiency	efficiency	NOUN
fcis-5411	80	13	of	of	ADP
fcis-5411	80	14	the	the	DET
fcis-5411	80	15	improved	improved	ADJ
fcis-5411	80	16	algorithm	algorithm	NOUN
fcis-5411	80	17	and	and	CCONJ
fcis-5411	80	18	the	the	DET
fcis-5411	80	19	classic	classic	ADJ
fcis-5411	80	20	algorithm	algorithm	NOUN
fcis-5411	80	21	,	,	PUNCT
fcis-5411	80	22	this	this	DET
fcis-5411	80	23	paper	paper	NOUN
fcis-5411	80	24	adopts	adopt	VERB
fcis-5411	80	25	the	the	DET
fcis-5411	80	26	method	method	NOUN
fcis-5411	80	27	of	of	ADP
fcis-5411	80	28	controlling	control	VERB
fcis-5411	80	29	variables	variable	NOUN
fcis-5411	80	30	,	,	PUNCT
fcis-5411	80	31	respectively	respectively	ADV
fcis-5411	80	32	controlling	control	VERB
fcis-5411	80	33	the	the	DET
fcis-5411	80	34	amount	amount	NOUN
fcis-5411	80	35	of	of	ADP
fcis-5411	80	36	transactions	transaction	NOUN
fcis-5411	80	37	and	and	CCONJ
fcis-5411	80	38	the	the	DET
fcis-5411	80	39	basis	basis	NOUN
fcis-5411	80	40	of	of	ADP
fcis-5411	80	41	support	support	NOUN
fcis-5411	80	42	,	,	PUNCT
fcis-5411	80	43	controlling	control	VERB
fcis-5411	80	44	the	the	DET
fcis-5411	80	45	number	number	NOUN
fcis-5411	80	46	of	of	ADP
fcis-5411	80	47	items	item	NOUN
fcis-5411	80	48	and	and	CCONJ
fcis-5411	80	49	counting	counting	NOUN
fcis-5411	80	50	of	of	ADP
fcis-5411	80	51	support	support	NOUN
fcis-5411	80	52	,	,	PUNCT
fcis-5411	80	53	and	and	CCONJ
fcis-5411	80	54	controlling	control	VERB
fcis-5411	80	55	the	the	DET
fcis-5411	80	56	amount	amount	NOUN
fcis-5411	80	57	of	of	ADP
fcis-5411	80	58	transactions	transaction	NOUN
fcis-5411	80	59	and	and	CCONJ
fcis-5411	80	60	the	the	DET
fcis-5411	80	61	number	number	NOUN
fcis-5411	80	62	of	of	ADP
fcis-5411	80	63	items	item	NOUN
fcis-5411	80	64	.	.	PUNCT
fcis-5411	81	1	these	these	DET
fcis-5411	81	2	three	three	NUM
fcis-5411	81	3	experiments	experiment	NOUN
fcis-5411	81	4	verify	verify	VERB
fcis-5411	81	5	that	that	SCONJ
fcis-5411	81	6	the	the	DET
fcis-5411	81	7	improved	improved	ADJ
fcis-5411	81	8	algorithm	algorithm	NOUN
fcis-5411	81	9	is	be	AUX
fcis-5411	81	10	running	run	VERB
fcis-5411	81	11	there	there	PRON
fcis-5411	81	12	are	be	VERB
fcis-5411	81	13	certain	certain	ADJ
fcis-5411	81	14	advantages	advantage	NOUN
fcis-5411	81	15	in	in	ADP
fcis-5411	81	16	terms	term	NOUN
fcis-5411	81	17	of	of	ADP
fcis-5411	81	18	efficiency	efficiency	NOUN
fcis-5411	81	19	.	.	PUNCT
fcis-5411	82	1	figure	figure	NOUN
fcis-5411	82	2	1	1	NUM
fcis-5411	82	3	.	.	PUNCT
fcis-5411	82	4	comparison	comparison	NOUN
fcis-5411	82	5	of	of	ADP
fcis-5411	82	6	efficiency	efficiency	NOUN
fcis-5411	82	7	of	of	ADP
fcis-5411	82	8	different	different	ADJ
fcis-5411	82	9	item	item	NOUN
fcis-5411	82	10	numbers	number	NOUN
fcis-5411	82	11	figure	figure	VERB
fcis-5411	82	12	2	2	NUM
fcis-5411	82	13	.	.	PUNCT
fcis-5411	82	14	comparison	comparison	NOUN
fcis-5411	82	15	of	of	ADP
fcis-5411	82	16	the	the	DET
fcis-5411	82	17	number	number	NOUN
fcis-5411	82	18	of	of	ADP
fcis-5411	82	19	items	item	NOUN
fcis-5411	82	20	of	of	ADP
fcis-5411	82	21	different	different	ADJ
fcis-5411	82	22	things	thing	NOUN
fcis-5411	82	23	0	0	NUM
fcis-5411	82	24	5	5	NUM
fcis-5411	82	25	10	10	NUM
fcis-5411	82	26	15	15	NUM
fcis-5411	82	27	20	20	NUM
fcis-5411	82	28	10	10	NUM
fcis-5411	82	29	12	12	NUM
fcis-5411	82	30	15	15	NUM
fcis-5411	82	31	20r	20r	NOUN
fcis-5411	82	32	u	u	NOUN
fcis-5411	82	33	n	n	CCONJ
fcis-5411	82	34	n	n	NOUN
fcis-5411	82	35	in	in	ADP
fcis-5411	82	36	g	g	PROPN
fcis-5411	82	37	t	t	PROPN
fcis-5411	83	1	i	i	PRON
fcis-5411	83	2	m	m	VERB
fcis-5411	83	3	e	e	NOUN
fcis-5411	83	4	/s	/s	PUNCT
fcis-5411	83	5	number	number	NOUN
fcis-5411	83	6	of	of	ADP
fcis-5411	83	7	items	item	NOUN
fcis-5411	83	8	/	/	SYM
fcis-5411	83	9	piece	piece	NOUN
fcis-5411	83	10	6600	6600	NUM
fcis-5411	83	11	transactions	transaction	NOUN
fcis-5411	83	12	,	,	PUNCT
fcis-5411	83	13	0.5	0.5	NUM
fcis-5411	83	14	support	support	NOUN
fcis-5411	83	15	count	count	NOUN
fcis-5411	83	16	ratio	ratio	NOUN
fcis-5411	83	17	apriori	apriori	ADV
fcis-5411	83	18	improved	improve	VERB
fcis-5411	83	19	algorithm	algorithm	NOUN
fcis-5411	83	20	0	0	NUM
fcis-5411	83	21	2	2	NUM
fcis-5411	83	22	4	4	NUM
fcis-5411	83	23	6	6	NUM
fcis-5411	83	24	8	8	NUM
fcis-5411	83	25	2500	2500	NUM
fcis-5411	83	26	4000	4000	NUM
fcis-5411	83	27	5000	5000	NUM
fcis-5411	83	28	6000	6000	NUM
fcis-5411	83	29	ti	ti	NOUN
fcis-5411	83	30	m	m	NOUN
fcis-5411	83	31	e	e	NOUN
fcis-5411	83	32	/s	/s	PUNCT
fcis-5411	83	33	number	number	NOUN
fcis-5411	83	34	of	of	ADP
fcis-5411	83	35	transactions	transaction	NOUN
fcis-5411	83	36	/	/	SYM
fcis-5411	83	37	piece	piece	NOUN
fcis-5411	83	38	15	15	NUM
fcis-5411	83	39	items	item	NOUN
fcis-5411	83	40	,	,	PUNCT
fcis-5411	83	41	support	support	NOUN
fcis-5411	83	42	rate	rate	NOUN
fcis-5411	83	43	count	count	NOUN
fcis-5411	83	44	0.5	0.5	NUM
fcis-5411	83	45	apriori	apriori	NOUN
fcis-5411	83	46	100	100	NUM
fcis-5411	83	47	figure	figure	NOUN
fcis-5411	83	48	3	3	NUM
fcis-5411	83	49	.	.	NOUN
fcis-5411	83	50	comparison	comparison	NOUN
fcis-5411	83	51	of	of	ADP
fcis-5411	83	52	counting	count	VERB
fcis-5411	83	53	efficiency	efficiency	NOUN
fcis-5411	83	54	with	with	ADP
fcis-5411	83	55	different	different	ADJ
fcis-5411	83	56	support	support	NOUN
fcis-5411	83	57	degrees	degree	NOUN
fcis-5411	83	58	it	it	PRON
fcis-5411	83	59	can	can	AUX
fcis-5411	83	60	be	be	AUX
fcis-5411	83	61	seen	see	VERB
fcis-5411	83	62	from	from	ADP
fcis-5411	83	63	figure	figure	NOUN
fcis-5411	83	64	1	1	NUM
fcis-5411	83	65	and	and	CCONJ
fcis-5411	83	66	figure	figure	VERB
fcis-5411	83	67	2	2	NUM
fcis-5411	83	68	that	that	SCONJ
fcis-5411	83	69	the	the	DET
fcis-5411	83	70	improved	improved	ADJ
fcis-5411	83	71	algorithm	algorithm	NOUN
fcis-5411	83	72	is	be	AUX
fcis-5411	83	73	more	more	ADV
fcis-5411	83	74	efficient	efficient	ADJ
fcis-5411	83	75	than	than	ADP
fcis-5411	83	76	the	the	DET
fcis-5411	83	77	classical	classical	ADJ
fcis-5411	83	78	algorithm	algorithm	NOUN
fcis-5411	83	79	.	.	PUNCT
fcis-5411	84	1	however	however	ADV
fcis-5411	84	2	,	,	PUNCT
fcis-5411	84	3	in	in	ADP
fcis-5411	84	4	the	the	DET
fcis-5411	84	5	case	case	NOUN
fcis-5411	84	6	of	of	ADP
fcis-5411	84	7	the	the	DET
fcis-5411	84	8	same	same	ADJ
fcis-5411	84	9	transaction	transaction	NOUN
fcis-5411	84	10	volume	volume	NOUN
fcis-5411	84	11	and	and	CCONJ
fcis-5411	84	12	number	number	NOUN
fcis-5411	84	13	of	of	ADP
fcis-5411	84	14	items	item	NOUN
fcis-5411	84	15	in	in	ADP
fcis-5411	84	16	figure	figure	NOUN
fcis-5411	84	17	3	3	NUM
fcis-5411	84	18	,	,	PUNCT
fcis-5411	84	19	the	the	DET
fcis-5411	84	20	efficiency	efficiency	NOUN
fcis-5411	84	21	of	of	ADP
fcis-5411	84	22	the	the	DET
fcis-5411	84	23	improved	improved	ADJ
fcis-5411	84	24	algorithm	algorithm	NOUN
fcis-5411	84	25	is	be	AUX
fcis-5411	84	26	lower	low	ADJ
fcis-5411	84	27	than	than	ADP
fcis-5411	84	28	that	that	PRON
fcis-5411	84	29	of	of	ADP
fcis-5411	84	30	the	the	DET
fcis-5411	84	31	classical	classical	ADJ
fcis-5411	84	32	algorithm	algorithm	NOUN
fcis-5411	84	33	when	when	SCONJ
fcis-5411	84	34	the	the	DET
fcis-5411	84	35	support	support	NOUN
fcis-5411	84	36	count	count	NOUN
fcis-5411	84	37	is	be	AUX
fcis-5411	84	38	low	low	ADJ
fcis-5411	84	39	.	.	PUNCT
fcis-5411	85	1	this	this	PRON
fcis-5411	85	2	may	may	AUX
fcis-5411	85	3	be	be	AUX
fcis-5411	85	4	because	because	SCONJ
fcis-5411	85	5	the	the	DET
fcis-5411	85	6	improved	improved	ADJ
fcis-5411	85	7	algorithm	algorithm	NOUN
fcis-5411	85	8	is	be	AUX
fcis-5411	85	9	represented	represent	VERB
fcis-5411	85	10	by	by	ADP
fcis-5411	85	11	a	a	DET
fcis-5411	85	12	matrix	matrix	NOUN
fcis-5411	85	13	.	.	PUNCT
fcis-5411	86	1	when	when	SCONJ
fcis-5411	86	2	the	the	DET
fcis-5411	86	3	support	support	NOUN
fcis-5411	86	4	count	count	NOUN
fcis-5411	86	5	is	be	AUX
fcis-5411	86	6	relatively	relatively	ADV
fcis-5411	86	7	low	low	ADJ
fcis-5411	86	8	,	,	PUNCT
fcis-5411	86	9	it	it	PRON
fcis-5411	86	10	will	will	AUX
fcis-5411	86	11	make	make	VERB
fcis-5411	86	12	the	the	DET
fcis-5411	86	13	amount	amount	NOUN
fcis-5411	86	14	of	of	ADP
fcis-5411	86	15	matrix	matrix	NOUN
fcis-5411	86	16	simplification	simplification	NOUN
fcis-5411	86	17	in	in	ADP
fcis-5411	86	18	the	the	DET
fcis-5411	86	19	connection	connection	NOUN
fcis-5411	86	20	process	process	NOUN
fcis-5411	86	21	is	be	AUX
fcis-5411	86	22	small	small	ADJ
fcis-5411	86	23	,	,	PUNCT
fcis-5411	86	24	which	which	PRON
fcis-5411	86	25	increases	increase	VERB
fcis-5411	86	26	the	the	DET
fcis-5411	86	27	amount	amount	NOUN
fcis-5411	86	28	of	of	ADP
fcis-5411	86	29	calculation	calculation	NOUN
fcis-5411	86	30	and	and	CCONJ
fcis-5411	86	31	thus	thus	ADV
fcis-5411	86	32	increases	increase	VERB
fcis-5411	86	33	the	the	DET
fcis-5411	86	34	operation	operation	NOUN
fcis-5411	86	35	time	time	NOUN
fcis-5411	86	36	.	.	PUNCT
fcis-5411	87	1	in	in	ADP
fcis-5411	87	2	the	the	DET
fcis-5411	87	3	follow	follow	VERB
fcis-5411	87	4	-	-	PUNCT
fcis-5411	87	5	up	up	ADP
fcis-5411	87	6	improvement	improvement	NOUN
fcis-5411	87	7	,	,	PUNCT
fcis-5411	87	8	it	it	PRON
fcis-5411	87	9	can	can	AUX
fcis-5411	87	10	be	be	AUX
fcis-5411	87	11	considered	consider	VERB
fcis-5411	87	12	to	to	PART
fcis-5411	87	13	carry	carry	VERB
fcis-5411	87	14	out	out	ADP
fcis-5411	87	15	targeted	target	VERB
fcis-5411	87	16	processing	processing	NOUN
fcis-5411	87	17	on	on	ADP
fcis-5411	87	18	the	the	DET
fcis-5411	87	19	case	case	NOUN
fcis-5411	87	20	where	where	SCONJ
fcis-5411	87	21	the	the	DET
fcis-5411	87	22	number	number	NOUN
fcis-5411	87	23	of	of	ADP
fcis-5411	87	24	items	item	NOUN
fcis-5411	87	25	is	be	AUX
fcis-5411	87	26	large	large	ADJ
fcis-5411	87	27	and	and	CCONJ
fcis-5411	87	28	the	the	DET
fcis-5411	87	29	number	number	NOUN
fcis-5411	87	30	is	be	AUX
fcis-5411	87	31	large	large	ADJ
fcis-5411	87	32	.	.	PUNCT
fcis-5411	88	1	for	for	ADP
fcis-5411	88	2	example	example	NOUN
fcis-5411	88	3	,	,	PUNCT
fcis-5411	88	4	when	when	SCONJ
fcis-5411	88	5	the	the	DET
fcis-5411	88	6	number	number	NOUN
fcis-5411	88	7	of	of	ADP
fcis-5411	88	8	items	item	NOUN
fcis-5411	88	9	and	and	CCONJ
fcis-5411	88	10	the	the	DET
fcis-5411	88	11	number	number	NOUN
fcis-5411	88	12	are	be	AUX
fcis-5411	88	13	large	large	ADJ
fcis-5411	88	14	,	,	PUNCT
fcis-5411	88	15	the	the	DET
fcis-5411	88	16	generated	generate	VERB
fcis-5411	88	17	data	data	NOUN
fcis-5411	88	18	matrix	matrix	NOUN
fcis-5411	88	19	is	be	AUX
fcis-5411	88	20	likely	likely	ADJ
fcis-5411	88	21	to	to	PART
fcis-5411	88	22	be	be	AUX
fcis-5411	88	23	a	a	DET
fcis-5411	88	24	sparse	sparse	ADJ
fcis-5411	88	25	matrix	matrix	NOUN
fcis-5411	88	26	.	.	PUNCT
fcis-5411	89	1	without	without	ADP
fcis-5411	89	2	changing	change	VERB
fcis-5411	89	3	the	the	DET
fcis-5411	89	4	original	original	ADJ
fcis-5411	89	5	matrix	matrix	NOUN
fcis-5411	89	6	optimizing	optimize	VERB
fcis-5411	89	7	the	the	DET
fcis-5411	89	8	matrix	matrix	NOUN
fcis-5411	89	9	in	in	ADP
fcis-5411	89	10	the	the	DET
fcis-5411	89	11	absence	absence	NOUN
fcis-5411	89	12	of	of	ADP
fcis-5411	89	13	meaning	meaning	NOUN
fcis-5411	89	14	should	should	AUX
fcis-5411	89	15	greatly	greatly	ADV
fcis-5411	89	16	improve	improve	VERB
fcis-5411	89	17	efficiency	efficiency	NOUN
fcis-5411	89	18	.	.	PUNCT
fcis-5411	90	1	5	5	X
fcis-5411	90	2	.	.	X
fcis-5411	90	3	conclusion	conclusion	NOUN
fcis-5411	90	4	this	this	DET
fcis-5411	90	5	paper	paper	NOUN
fcis-5411	90	6	has	have	AUX
fcis-5411	90	7	made	make	VERB
fcis-5411	90	8	some	some	DET
fcis-5411	90	9	improvements	improvement	NOUN
fcis-5411	90	10	to	to	PART
fcis-5411	90	11	apriori	apriori	PRON
fcis-5411	90	12	,	,	PUNCT
fcis-5411	90	13	which	which	PRON
fcis-5411	90	14	effectively	effectively	ADV
fcis-5411	90	15	enhances	enhance	VERB
fcis-5411	90	16	the	the	DET
fcis-5411	90	17	efficiency	efficiency	NOUN
fcis-5411	90	18	of	of	ADP
fcis-5411	90	19	the	the	DET
fcis-5411	90	20	algorithm	algorithm	NOUN
fcis-5411	90	21	and	and	CCONJ
fcis-5411	90	22	reduces	reduce	VERB
fcis-5411	90	23	the	the	DET
fcis-5411	90	24	time	time	NOUN
fcis-5411	90	25	and	and	CCONJ
fcis-5411	90	26	space	space	NOUN
fcis-5411	90	27	consumption	consumption	NOUN
fcis-5411	90	28	of	of	ADP
fcis-5411	90	29	the	the	DET
fcis-5411	90	30	algorithm	algorithm	NOUN
fcis-5411	90	31	,	,	PUNCT
fcis-5411	90	32	but	but	CCONJ
fcis-5411	90	33	there	there	PRON
fcis-5411	90	34	are	be	VERB
fcis-5411	90	35	still	still	ADV
fcis-5411	90	36	some	some	DET
fcis-5411	90	37	defects	defect	NOUN
fcis-5411	90	38	,	,	PUNCT
fcis-5411	90	39	such	such	ADJ
fcis-5411	90	40	as	as	ADP
fcis-5411	90	41	matrix	matrix	NOUN
fcis-5411	90	42	redundancy	redundancy	NOUN
fcis-5411	90	43	under	under	ADP
fcis-5411	90	44	a	a	DET
fcis-5411	90	45	large	large	ADJ
fcis-5411	90	46	amount	amount	NOUN
fcis-5411	90	47	of	of	ADP
fcis-5411	90	48	data	datum	NOUN
fcis-5411	90	49	,	,	PUNCT
fcis-5411	90	50	etc	etc	X
fcis-5411	90	51	.	.	X
fcis-5411	90	52	,	,	PUNCT
fcis-5411	90	53	and	and	CCONJ
fcis-5411	90	54	then	then	ADV
fcis-5411	90	55	we	we	PRON
fcis-5411	90	56	will	will	AUX
fcis-5411	90	57	address	address	VERB
fcis-5411	90	58	these	these	DET
fcis-5411	90	59	deficiencies	deficiency	NOUN
fcis-5411	90	60	further	further	ADJ
fcis-5411	90	61	improvement	improvement	NOUN
fcis-5411	90	62	,	,	PUNCT
fcis-5411	90	63	gradually	gradually	ADV
fcis-5411	90	64	improve	improve	VERB
fcis-5411	90	65	the	the	DET
fcis-5411	90	66	improved	improved	ADJ
fcis-5411	90	67	algorithm	algorithm	NOUN
fcis-5411	90	68	,	,	PUNCT
fcis-5411	90	69	and	and	CCONJ
fcis-5411	90	70	at	at	ADP
fcis-5411	90	71	the	the	DET
fcis-5411	90	72	same	same	ADJ
fcis-5411	90	73	time	time	NOUN
fcis-5411	90	74	think	think	VERB
fcis-5411	90	75	about	about	ADP
fcis-5411	90	76	the	the	DET
fcis-5411	90	77	applicable	applicable	ADJ
fcis-5411	90	78	direction	direction	NOUN
fcis-5411	90	79	of	of	ADP
fcis-5411	90	80	the	the	DET
fcis-5411	90	81	algorithm	algorithm	NOUN
fcis-5411	90	82	to	to	PART
fcis-5411	90	83	improve	improve	VERB
fcis-5411	90	84	the	the	DET
fcis-5411	90	85	flexibility	flexibility	NOUN
fcis-5411	90	86	of	of	ADP
fcis-5411	90	87	the	the	DET
fcis-5411	90	88	algorithm	algorithm	NOUN
fcis-5411	90	89	application	application	NOUN
fcis-5411	90	90	.	.	PUNCT
fcis-5411	91	1	references	reference	NOUN
fcis-5411	91	2	[	[	X
fcis-5411	91	3	1	1	NUM
fcis-5411	91	4	]	]	X
fcis-5411	91	5	r.	r.	PROPN
fcis-5411	91	6	agrawal	agrawal	PROPN
fcis-5411	91	7	,	,	PUNCT
fcis-5411	91	8	t.	t.	PROPN
fcis-5411	91	9	imielinski	imielinski	PROPN
fcis-5411	91	10	,	,	PUNCT
fcis-5411	91	11	and	and	CCONJ
fcis-5411	91	12	a.	a.	NOUN
fcis-5411	91	13	swami	swami	PROPN
fcis-5411	91	14	.	.	PUNCT
fcis-5411	92	1	mining	mining	NOUN
fcis-5411	92	2	association	association	NOUN
fcis-5411	92	3	rules	rule	NOUN
fcis-5411	92	4	between	between	ADP
fcis-5411	92	5	sets	set	NOUN
fcis-5411	92	6	of	of	ADP
fcis-5411	92	7	items	item	NOUN
fcis-5411	92	8	in	in	ADP
fcis-5411	92	9	large	large	ADJ
fcis-5411	92	10	databases	database	NOUN
fcis-5411	92	11	.	.	PUNCT
fcis-5411	93	1	proc	proc	NOUN
fcis-5411	93	2	,	,	PUNCT
fcis-5411	93	3	1993	1993	NUM
fcis-5411	93	4	acm	acm	NOUN
fcis-5411	93	5	-	-	PUNCT
fcis-5411	93	6	sigmod	sigmod	NOUN
fcis-5411	93	7	int	int	NOUN
fcis-5411	93	8	,	,	PUNCT
fcis-5411	93	9	conf	conf	NOUN
fcis-5411	93	10	.	.	PUNCT
fcis-5411	94	1	management	management	NOUN
fcis-5411	94	2	of	of	ADP
fcis-5411	94	3	data	datum	NOUN
fcis-5411	94	4	(	(	PUNCT
fcis-5411	94	5	sigmod	sigmod	NOUN
fcis-5411	94	6	'	'	PUNCT
fcis-5411	94	7	9	9	NUM
fcis-5411	94	8	3	3	NUM
fcis-5411	94	9	)	)	PUNCT
fcis-5411	94	10	,	,	PUNCT
fcis-5411	94	11	pp	pp	PROPN
fcis-5411	94	12	.	.	PUNCT
fcis-5411	95	1	207	207	NUM
fcis-5411	95	2	-	-	SYM
fcis-5411	95	3	216	216	NUM
fcis-5411	95	4	,	,	PUNCT
fcis-5411	95	5	washington	washington	PROPN
fcis-5411	95	6	,	,	PUNCT
fcis-5411	95	7	dc	dc	PROPN
fcis-5411	95	8	,	,	PUNCT
fcis-5411	95	9	may	may	PROPN
fcis-5411	95	10	1993	1993	NUM
fcis-5411	95	11	.	.	PUNCT
fcis-5411	96	1	[	[	X
fcis-5411	96	2	2	2	NUM
fcis-5411	96	3	]	]	PUNCT
fcis-5411	96	4	m.	m.	NOUN
fcis-5411	96	5	zaki	zaki	PROPN
fcis-5411	96	6	.	.	PUNCT
fcis-5411	97	1	scalable	scalable	ADJ
fcis-5411	97	2	algorithms	algorithm	NOUN
fcis-5411	97	3	for	for	ADP
fcis-5411	97	4	association	association	NOUN
fcis-5411	97	5	mining	mining	NOUN
fcis-5411	97	6	.	.	PUNCT
fcis-5411	98	1	ieee	ieee	PROPN
fcis-5411	98	2	trans	trans	PROPN
fcis-5411	98	3	.	.	PUNCT
fcis-5411	99	1	knowledge	knowledge	NOUN
fcis-5411	99	2	and	and	CCONJ
fcis-5411	99	3	data	datum	NOUN
fcis-5411	99	4	engineering	engineering	NOUN
fcis-5411	99	5	,	,	PUNCT
fcis-5411	99	6	12:372	12:372	NUM
fcis-5411	99	7	-	-	SYM
fcis-5411	99	8	390	390	NUM
fcis-5411	99	9	,	,	PUNCT
fcis-5411	99	10	2000	2000	NUM
fcis-5411	99	11	.	.	PUNCT
fcis-5411	100	1	[	[	X
fcis-5411	100	2	3	3	X
fcis-5411	100	3	]	]	X
fcis-5411	100	4	ian	ian	PROPN
fcis-5411	100	5	h.	h.	PROPN
fcis-5411	100	6	witten	witten	PROPN
fcis-5411	100	7	,	,	PUNCT
fcis-5411	100	8	eibe	eibe	VERB
fcis-5411	100	9	frank	frank	ADJ
fcis-5411	100	10	and	and	CCONJ
fcis-5411	100	11	mark	mark	PROPN
fcis-5411	100	12	a.	a.	PROPN
fcis-5411	100	13	hall	hall	PROPN
fcis-5411	100	14	.	.	PUNCT
fcis-5411	101	1	data	datum	NOUN
fcis-5411	101	2	mining	mining	NOUN
fcis-5411	101	3	:	:	PUNCT
fcis-5411	101	4	practical	practical	ADJ
fcis-5411	101	5	machine	machine	NOUN
fcis-5411	101	6	learning	learning	NOUN
fcis-5411	101	7	tools	tool	NOUN
fcis-5411	101	8	and	and	CCONJ
fcis-5411	101	9	techniques	technique	NOUN
fcis-5411	101	10	[	[	X
fcis-5411	101	11	m	m	X
fcis-5411	101	12	]	]	X
fcis-5411	101	13	.	.	PUNCT
fcis-5411	102	1	china	china	PROPN
fcis-5411	102	2	machine	machine	PROPN
fcis-5411	102	3	press	press	PROPN
fcis-5411	102	4	.	.	PUNCT
fcis-5411	103	1	2014	2014	NUM
fcis-5411	103	2	.	.	PUNCT
fcis-5411	104	1	[	[	X
fcis-5411	104	2	4	4	X
fcis-5411	104	3	]	]	PUNCT
fcis-5411	104	4	jiawei	jiawei	PROPN
fcis-5411	104	5	han	han	PROPN
fcis-5411	104	6	,	,	PUNCT
fcis-5411	104	7	micheline	micheline	PROPN
fcis-5411	104	8	kamber	kamber	PROPN
fcis-5411	104	9	,	,	PUNCT
fcis-5411	104	10	jian	jian	PROPN
fcis-5411	104	11	pei	pei	PROPN
fcis-5411	104	12	,	,	PUNCT
fcis-5411	104	13	data	datum	NOUN
fcis-5411	104	14	mining	mining	NOUN
fcis-5411	104	15	concepts	concept	NOUN
fcis-5411	104	16	and	and	CCONJ
fcis-5411	104	17	techniques	technique	NOUN
fcis-5411	104	18	third	third	ADJ
fcis-5411	104	19	edition	edition	NOUN
fcis-5411	104	20	[	[	X
fcis-5411	104	21	m	m	X
fcis-5411	104	22	]	]	X
fcis-5411	104	23	.	.	PUNCT
fcis-5411	105	1	china	china	PROPN
fcis-5411	105	2	machine	machine	PROPN
fcis-5411	105	3	press	press	PROPN
fcis-5411	105	4	.	.	PUNCT
fcis-5411	106	1	2019	2019	NUM
fcis-5411	106	2	.	.	PUNCT
fcis-5411	107	1	[	[	X
fcis-5411	107	2	5	5	NUM
fcis-5411	107	3	]	]	PUNCT
fcis-5411	107	4	cui	cui	X
fcis-5411	107	5	yan	yan	PROPN
fcis-5411	107	6	,	,	PUNCT
fcis-5411	107	7	bao	bao	PROPN
fcis-5411	107	8	zhiqiang	zhiqiang	NUM
fcis-5411	107	9	.	.	PUNCT
fcis-5411	108	1	a	a	DET
fcis-5411	108	2	survey	survey	NOUN
fcis-5411	108	3	of	of	ADP
fcis-5411	108	4	association	association	NOUN
fcis-5411	108	5	rule	rule	NOUN
fcis-5411	108	6	mining[j	mining[j	PROPN
fcis-5411	108	7	]	]	PUNCT
fcis-5411	108	8	.	.	PUNCT
fcis-5411	109	1	application	application	NOUN
fcis-5411	109	2	research	research	NOUN
fcis-5411	109	3	of	of	ADP
fcis-5411	109	4	computers	computer	NOUN
fcis-5411	109	5	,	,	PUNCT
fcis-5411	109	6	2016,33(02):330	2016,33(02):330	NUM
fcis-5411	109	7	-	-	SYM
fcis-5411	109	8	334	334	NUM
fcis-5411	109	9	.	.	PUNCT
fcis-5411	110	1	[	[	X
fcis-5411	110	2	6	6	NUM
fcis-5411	110	3	]	]	X
fcis-5411	110	4	cai	cai	PROPN
fcis-5411	110	5	weijie	weijie	PROPN
fcis-5411	110	6	,	,	PUNCT
fcis-5411	110	7	zhang	zhang	PROPN
fcis-5411	110	8	xiaohui	xiaohui	PROPN
fcis-5411	110	9	,	,	PUNCT
fcis-5411	110	10	zhu	zhu	PROPN
fcis-5411	110	11	jianqiu	jianqiu	PROPN
fcis-5411	110	12	,	,	PUNCT
fcis-5411	110	13	zhu	zhu	PROPN
fcis-5411	110	14	yangyong	yangyong	PROPN
fcis-5411	110	15	.	.	PUNCT
fcis-5411	111	1	a	a	DET
fcis-5411	111	2	survey	survey	NOUN
fcis-5411	111	3	of	of	ADP
fcis-5411	111	4	association	association	NOUN
fcis-5411	111	5	rules	rule	VERB
fcis-5411	111	6	mining	mine	VERB
fcis-5411	112	1	[	[	X
fcis-5411	112	2	j	j	X
fcis-5411	112	3	]	]	X
fcis-5411	112	4	.	.	PUNCT
fcis-5411	113	1	computer	computer	NOUN
fcis-5411	113	2	engineering	engineering	NOUN
fcis-5411	113	3	,	,	PUNCT
fcis-5411	113	4	2001(05	2001(05	NUM
fcis-5411	113	5	):	):	PUNCT
fcis-5411	113	6	3133	3133	NUM
fcis-5411	113	7	+	+	SYM
fcis-5411	113	8	49	49	NUM
fcis-5411	113	9	.	.	PUNCT
fcis-5411	113	10	0	0	NUM
fcis-5411	114	1	5	5	NUM
fcis-5411	114	2	10	10	NUM
fcis-5411	114	3	15	15	NUM
fcis-5411	114	4	20	20	NUM
fcis-5411	114	5	25	25	NUM
fcis-5411	114	6	0.1	0.1	NUM
fcis-5411	114	7	0.2	0.2	NUM
fcis-5411	114	8	0.5	0.5	NUM
fcis-5411	114	9	0.8	0.8	NUM
fcis-5411	114	10	ti	ti	NOUN
fcis-5411	114	11	m	m	NOUN
fcis-5411	114	12	e	e	NOUN
fcis-5411	114	13	/s	/s	NOUN
fcis-5411	114	14	support	support	NOUN
fcis-5411	114	15	count	count	NOUN
fcis-5411	114	16	ratio	ratio	NOUN
fcis-5411	114	17	6600	6600	NUM
fcis-5411	114	18	transactions	transaction	NOUN
fcis-5411	114	19	,	,	PUNCT
fcis-5411	114	20	15	15	NUM
fcis-5411	114	21	items	item	NOUN
fcis-5411	114	22	apriori	apriori	ADV
fcis-5411	114	23	improved	improve	VERB
fcis-5411	114	24	algorithm	algorithm	NOUN