id	sid	tid	token	lemma	pos
cana-734	1	1	communications	communication	NOUN
cana-734	1	2	on	on	ADP
cana-734	1	3	applied	apply	VERB
cana-734	1	4	nonlinear	nonlinear	ADJ
cana-734	1	5	analysis	analysis	NOUN
cana-734	1	6	issn	issn	NOUN
cana-734	1	7	:	:	PUNCT
cana-734	1	8	1074	1074	NUM
cana-734	1	9	-	-	PUNCT
cana-734	1	10	133x	133x	NUM
cana-734	1	11	vol	vol	NOUN
cana-734	1	12	31	31	NUM
cana-734	1	13	no	no	NOUN
cana-734	1	14	.	.	PUNCT
cana-734	2	1	3s	3s	NUM
cana-734	2	2	(	(	PUNCT
cana-734	2	3	2024	2024	NUM
cana-734	2	4	)	)	PUNCT
cana-734	2	5	90	90	NUM
cana-734	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-734	2	7	cross	cross	NOUN
cana-734	2	8	-	-	ADJ
cana-734	2	9	entropy	entropy	ADJ
cana-734	2	10	assisted	assist	VERB
cana-734	2	11	optimization	optimization	NOUN
cana-734	2	12	technique	technique	NOUN
cana-734	2	13	for	for	ADP
cana-734	2	14	high	high	ADJ
cana-734	2	15	utility	utility	NOUN
cana-734	2	16	itemset	itemset	NOUN
cana-734	2	17	mining	mining	NOUN
cana-734	2	18	from	from	ADP
cana-734	2	19	the	the	DET
cana-734	2	20	transactional	transactional	ADJ
cana-734	2	21	database	database	NOUN
cana-734	2	22	v.	v.	ADP
cana-734	2	23	jeevika	jeevika	PROPN
cana-734	2	24	tharini1	tharini1	PROPN
cana-734	2	25	,	,	PUNCT
cana-734	2	26	b.	b.	PROPN
cana-734	2	27	l.	l.	PROPN
cana-734	2	28	shivakumar2	shivakumar2	PROPN
cana-734	3	1	1research	1research	NUM
cana-734	3	2	scholar	scholar	NOUN
cana-734	3	3	,	,	PUNCT
cana-734	3	4	sri	sri	PROPN
cana-734	3	5	ramakrishna	ramakrishna	PROPN
cana-734	3	6	college	college	PROPN
cana-734	3	7	of	of	ADP
cana-734	3	8	arts	arts	PROPN
cana-734	3	9	&	&	CCONJ
cana-734	3	10	science	science	PROPN
cana-734	3	11	,	,	PUNCT
cana-734	3	12	coimbatore	coimbatore	PROPN
cana-734	3	13	2principal	2principal	NUM
cana-734	3	14	,	,	PUNCT
cana-734	3	15	sri	sri	PROPN
cana-734	3	16	ramakrishna	ramakrishna	PROPN
cana-734	3	17	college	college	PROPN
cana-734	3	18	of	of	ADP
cana-734	3	19	arts	arts	PROPN
cana-734	3	20	&	&	CCONJ
cana-734	3	21	science	science	PROPN
cana-734	3	22	,	,	PUNCT
cana-734	3	23	coimbatore	coimbatore	NOUN
cana-734	3	24	article	article	NOUN
cana-734	3	25	history	history	NOUN
cana-734	3	26	:	:	PUNCT
cana-734	3	27	received	receive	VERB
cana-734	3	28	:	:	PUNCT
cana-734	3	29	15	15	NUM
cana-734	3	30	-	-	PUNCT
cana-734	3	31	04	04	NUM
cana-734	3	32	-	-	PUNCT
cana-734	3	33	2024	2024	NUM
cana-734	3	34	revised	revise	VERB
cana-734	3	35	:	:	PUNCT
cana-734	3	36	21	21	NUM
cana-734	3	37	-	-	SYM
cana-734	3	38	05	05	NUM
cana-734	3	39	-	-	PUNCT
cana-734	3	40	2024	2024	NUM
cana-734	3	41	accepted	accept	VERB
cana-734	3	42	:	:	PUNCT
cana-734	3	43	02	02	NUM
cana-734	3	44	-	-	PUNCT
cana-734	3	45	06	06	NUM
cana-734	3	46	-	-	PUNCT
cana-734	3	47	2024	2024	NUM
cana-734	3	48	abstract	abstract	ADJ
cana-734	3	49	high	high	ADJ
cana-734	3	50	utility	utility	NOUN
cana-734	3	51	itemset	itemset	NOUN
cana-734	3	52	mining	mining	NOUN
cana-734	3	53	(	(	PUNCT
cana-734	3	54	huim	huim	NOUN
cana-734	3	55	)	)	PUNCT
cana-734	3	56	is	be	AUX
cana-734	3	57	the	the	DET
cana-734	3	58	process	process	NOUN
cana-734	3	59	of	of	ADP
cana-734	3	60	discovering	discover	VERB
cana-734	3	61	profitable	profitable	ADJ
cana-734	3	62	itemsets	itemset	NOUN
cana-734	3	63	in	in	ADP
cana-734	3	64	a	a	DET
cana-734	3	65	transactional	transactional	ADJ
cana-734	3	66	database	database	NOUN
cana-734	3	67	with	with	ADP
cana-734	3	68	a	a	DET
cana-734	3	69	high	high	ADJ
cana-734	3	70	utility	utility	NOUN
cana-734	3	71	or	or	CCONJ
cana-734	3	72	profit	profit	NOUN
cana-734	3	73	range	range	NOUN
cana-734	3	74	.	.	PUNCT
cana-734	4	1	this	this	DET
cana-734	4	2	technique	technique	NOUN
cana-734	4	3	is	be	AUX
cana-734	4	4	mainly	mainly	ADV
cana-734	4	5	used	use	VERB
cana-734	4	6	to	to	PART
cana-734	4	7	unearth	unearth	VERB
cana-734	4	8	the	the	DET
cana-734	4	9	prominent	prominent	ADJ
cana-734	4	10	patterns	pattern	NOUN
cana-734	4	11	and	and	CCONJ
cana-734	4	12	insights	insight	NOUN
cana-734	4	13	from	from	ADP
cana-734	4	14	large	large	ADJ
cana-734	4	15	volumes	volume	NOUN
cana-734	4	16	of	of	ADP
cana-734	4	17	data	data	PROPN
cana-734	4	18	.	.	PUNCT
cana-734	5	1	the	the	DET
cana-734	5	2	main	main	ADJ
cana-734	5	3	goal	goal	NOUN
cana-734	5	4	of	of	ADP
cana-734	5	5	huim	huim	NOUN
cana-734	5	6	is	be	AUX
cana-734	5	7	to	to	PART
cana-734	5	8	utilize	utilize	VERB
cana-734	5	9	optimization	optimization	NOUN
cana-734	5	10	techniques	technique	NOUN
cana-734	5	11	that	that	PRON
cana-734	5	12	improve	improve	VERB
cana-734	5	13	the	the	DET
cana-734	5	14	efficiency	efficiency	NOUN
cana-734	5	15	of	of	ADP
cana-734	5	16	mining	mining	NOUN
cana-734	5	17	operations	operation	NOUN
cana-734	5	18	.	.	PUNCT
cana-734	6	1	this	this	DET
cana-734	6	2	research	research	NOUN
cana-734	6	3	article	article	NOUN
cana-734	6	4	introduces	introduce	VERB
cana-734	6	5	a	a	DET
cana-734	6	6	genetic	genetic	ADJ
cana-734	6	7	algorithm	algorithm	NOUN
cana-734	6	8	(	(	PUNCT
cana-734	6	9	ga	ga	NOUN
cana-734	6	10	)	)	PUNCT
cana-734	6	11	integrated	integrate	VERB
cana-734	6	12	bacterial	bacterial	ADJ
cana-734	6	13	foraging	forage	VERB
cana-734	6	14	algorithm	algorithm	NOUN
cana-734	6	15	(	(	PUNCT
cana-734	6	16	bfa	bfa	PROPN
cana-734	6	17	)	)	PUNCT
cana-734	6	18	based	base	VERB
cana-734	6	19	on	on	ADP
cana-734	6	20	the	the	DET
cana-734	6	21	huim	huim	NOUN
cana-734	6	22	technique	technique	NOUN
cana-734	6	23	,	,	PUNCT
cana-734	6	24	which	which	PRON
cana-734	6	25	is	be	AUX
cana-734	6	26	efficient	efficient	ADJ
cana-734	6	27	due	due	ADP
cana-734	6	28	to	to	ADP
cana-734	6	29	its	its	PRON
cana-734	6	30	exploitation	exploitation	NOUN
cana-734	6	31	and	and	CCONJ
cana-734	6	32	exploration	exploration	NOUN
cana-734	6	33	ability	ability	NOUN
cana-734	6	34	.	.	PUNCT
cana-734	7	1	this	this	DET
cana-734	7	2	incorporation	incorporation	NOUN
cana-734	7	3	intends	intend	VERB
cana-734	7	4	to	to	PART
cana-734	7	5	address	address	VERB
cana-734	7	6	the	the	DET
cana-734	7	7	issue	issue	NOUN
cana-734	7	8	of	of	ADP
cana-734	7	9	early	early	ADJ
cana-734	7	10	convergence	convergence	NOUN
cana-734	7	11	in	in	ADP
cana-734	7	12	itemset	itemset	ADJ
cana-734	7	13	mining	mining	NOUN
cana-734	7	14	,	,	PUNCT
cana-734	7	15	and	and	CCONJ
cana-734	7	16	cross	cross	NOUN
cana-734	7	17	entropy	entropy	PROPN
cana-734	7	18	(	(	PUNCT
cana-734	7	19	ce	ce	PROPN
cana-734	7	20	)	)	PUNCT
cana-734	7	21	act	act	NOUN
cana-734	7	22	as	as	ADP
cana-734	7	23	a	a	DET
cana-734	7	24	genetic	genetic	ADJ
cana-734	7	25	operator	operator	NOUN
cana-734	7	26	,	,	PUNCT
cana-734	7	27	which	which	PRON
cana-734	7	28	enhances	enhance	VERB
cana-734	7	29	the	the	DET
cana-734	7	30	efficiency	efficiency	NOUN
cana-734	7	31	of	of	ADP
cana-734	7	32	the	the	DET
cana-734	7	33	mining	mining	NOUN
cana-734	7	34	operation	operation	NOUN
cana-734	7	35	.	.	PUNCT
cana-734	8	1	the	the	DET
cana-734	8	2	technique	technique	NOUN
cana-734	8	3	effectively	effectively	ADV
cana-734	8	4	perceives	perceive	VERB
cana-734	8	5	high	high	ADJ
cana-734	8	6	utility	utility	NOUN
cana-734	8	7	itemsets	itemset	NOUN
cana-734	8	8	(	(	PUNCT
cana-734	8	9	huis	huis	PROPN
cana-734	8	10	)	)	PUNCT
cana-734	8	11	within	within	ADP
cana-734	8	12	a	a	DET
cana-734	8	13	significantly	significantly	ADV
cana-734	8	14	reduced	reduce	VERB
cana-734	8	15	duration	duration	NOUN
cana-734	8	16	of	of	ADP
cana-734	8	17	16723	16723	NUM
cana-734	8	18	ms	ms	NOUN
cana-734	8	19	,	,	PUNCT
cana-734	8	20	accomplishing	accomplish	VERB
cana-734	8	21	optimal	optimal	ADJ
cana-734	8	22	outcomes	outcome	NOUN
cana-734	8	23	.	.	PUNCT
cana-734	9	1	the	the	DET
cana-734	9	2	strategy	strategy	NOUN
cana-734	9	3	effectively	effectively	ADV
cana-734	9	4	reduces	reduce	VERB
cana-734	9	5	the	the	DET
cana-734	9	6	likelihood	likelihood	NOUN
cana-734	9	7	of	of	ADP
cana-734	9	8	premature	premature	ADJ
cana-734	9	9	convergence	convergence	NOUN
cana-734	9	10	and	and	CCONJ
cana-734	9	11	showcases	showcase	VERB
cana-734	9	12	exceptional	exceptional	ADJ
cana-734	9	13	efficiency	efficiency	NOUN
cana-734	9	14	,	,	PUNCT
cana-734	9	15	as	as	SCONJ
cana-734	9	16	seen	see	VERB
cana-734	9	17	by	by	ADP
cana-734	9	18	the	the	DET
cana-734	9	19	successful	successful	ADJ
cana-734	9	20	retrieval	retrieval	NOUN
cana-734	9	21	of	of	ADP
cana-734	9	22	3432	3432	NUM
cana-734	9	23	optimized	optimize	VERB
cana-734	9	24	itemsets	itemset	NOUN
cana-734	9	25	.	.	PUNCT
cana-734	10	1	the	the	DET
cana-734	10	2	suggested	suggest	VERB
cana-734	10	3	hybrid	hybrid	PROPN
cana-734	10	4	ga	ga	PROPN
cana-734	10	5	-	-	PUNCT
cana-734	10	6	bfa	bfa	PROPN
cana-734	10	7	approach	approach	NOUN
cana-734	10	8	effectively	effectively	ADV
cana-734	10	9	addresses	address	VERB
cana-734	10	10	problems	problem	NOUN
cana-734	10	11	in	in	ADP
cana-734	10	12	itemset	itemset	NOUN
cana-734	10	13	mining	mining	NOUN
cana-734	10	14	by	by	ADP
cana-734	10	15	achieving	achieve	VERB
cana-734	10	16	high	high	ADJ
cana-734	10	17	-	-	PUNCT
cana-734	10	18	quality	quality	NOUN
cana-734	10	19	results	result	NOUN
cana-734	10	20	in	in	ADP
cana-734	10	21	a	a	DET
cana-734	10	22	small	small	ADJ
cana-734	10	23	amount	amount	NOUN
cana-734	10	24	of	of	ADP
cana-734	10	25	time	time	NOUN
cana-734	10	26	.	.	PUNCT
cana-734	11	1	the	the	DET
cana-734	11	2	implementational	implementational	ADJ
cana-734	11	3	outcomes	outcome	NOUN
cana-734	11	4	of	of	ADP
cana-734	11	5	the	the	DET
cana-734	11	6	proposed	propose	VERB
cana-734	11	7	hybridized	hybridize	VERB
cana-734	11	8	cross	cross	PROPN
cana-734	11	9	entropy	entropy	PROPN
cana-734	11	10	assisted	assist	VERB
cana-734	11	11	genetic	genetic	ADJ
cana-734	11	12	algorithm	algorithm	NOUN
cana-734	11	13	with	with	ADP
cana-734	11	14	bacterial	bacterial	ADJ
cana-734	11	15	foraging	forage	VERB
cana-734	11	16	algorithm	algorithm	NOUN
cana-734	11	17	(	(	PUNCT
cana-734	11	18	hceg	hceg	PROPN
cana-734	11	19	-	-	PUNCT
cana-734	11	20	bfa	bfa	PROPN
cana-734	11	21	)	)	PUNCT
cana-734	11	22	are	be	AUX
cana-734	11	23	compared	compare	VERB
cana-734	11	24	with	with	ADP
cana-734	11	25	existing	exist	VERB
cana-734	11	26	state	state	NOUN
cana-734	11	27	-	-	PUNCT
cana-734	11	28	of	of	ADP
cana-734	11	29	-	-	PUNCT
cana-734	11	30	art	art	NOUN
cana-734	11	31	techniques	technique	NOUN
cana-734	11	32	where	where	SCONJ
cana-734	11	33	the	the	DET
cana-734	11	34	hceg	hceg	PROPN
cana-734	11	35	-	-	PUNCT
cana-734	11	36	bfa	bfa	PROPN
cana-734	11	37	outperforms	outperform	VERB
cana-734	11	38	existing	exist	VERB
cana-734	11	39	state	state	NOUN
cana-734	11	40	-	-	PUNCT
cana-734	11	41	of	of	ADP
cana-734	11	42	-	-	PUNCT
cana-734	11	43	art	art	NOUN
cana-734	11	44	techniques	technique	NOUN
cana-734	11	45	.	.	PUNCT
cana-734	12	1	keywords	keyword	NOUN
cana-734	12	2	:	:	PUNCT
cana-734	12	3	cross	cross	NOUN
cana-734	12	4	entropy	entropy	PROPN
cana-734	12	5	,	,	PUNCT
cana-734	12	6	crossover	crossover	PROPN
cana-734	12	7	,	,	PUNCT
cana-734	12	8	bfa	bfa	PROPN
cana-734	12	9	,	,	PUNCT
cana-734	12	10	ga	ga	PROPN
cana-734	12	11	,	,	PUNCT
cana-734	12	12	hui	hui	PROPN
cana-734	12	13	mining	mining	NOUN
cana-734	12	14	,	,	PUNCT
cana-734	12	15	profit	profit	NOUN
cana-734	12	16	,	,	PUNCT
cana-734	12	17	memory	memory	NOUN
cana-734	12	18	usage	usage	NOUN
cana-734	12	19	,	,	PUNCT
cana-734	12	20	and	and	CCONJ
cana-734	12	21	runtime	runtime	NOUN
cana-734	12	22	.	.	PUNCT
cana-734	13	1	1	1	X
cana-734	13	2	.	.	X
cana-734	13	3	introduction	introduction	NOUN
cana-734	13	4	utility	utility	NOUN
cana-734	13	5	mining	mining	NOUN
cana-734	13	6	(	(	PUNCT
cana-734	13	7	um	um	INTJ
cana-734	13	8	)	)	PUNCT
cana-734	13	9	is	be	AUX
cana-734	13	10	a	a	DET
cana-734	13	11	sub	sub	NOUN
cana-734	13	12	-	-	NOUN
cana-734	13	13	area	area	NOUN
cana-734	13	14	of	of	ADP
cana-734	13	15	data	datum	NOUN
cana-734	13	16	mining	mining	NOUN
cana-734	13	17	where	where	SCONJ
cana-734	13	18	there	there	PRON
cana-734	13	19	is	be	VERB
cana-734	13	20	an	an	DET
cana-734	13	21	interest	interest	NOUN
cana-734	13	22	in	in	ADP
cana-734	13	23	patterns	pattern	NOUN
cana-734	13	24	,	,	PUNCT
cana-734	13	25	and	and	CCONJ
cana-734	13	26	knowledge	knowledge	NOUN
cana-734	13	27	about	about	ADP
cana-734	13	28	the	the	DET
cana-734	13	29	value	value	NOUN
cana-734	13	30	or	or	CCONJ
cana-734	13	31	utility	utility	NOUN
cana-734	13	32	of	of	ADP
cana-734	13	33	items	item	NOUN
cana-734	13	34	in	in	ADP
cana-734	13	35	databases	database	NOUN
cana-734	13	36	is	be	AUX
cana-734	13	37	identified	identify	VERB
cana-734	13	38	[	[	PUNCT
cana-734	13	39	1	1	NUM
cana-734	13	40	]	]	PUNCT
cana-734	13	41	.	.	PUNCT
cana-734	14	1	um	um	INTJ
cana-734	14	2	is	be	AUX
cana-734	14	3	entirely	entirely	ADV
cana-734	14	4	different	different	ADJ
cana-734	14	5	from	from	ADP
cana-734	14	6	traditional	traditional	ADJ
cana-734	14	7	data	datum	NOUN
cana-734	14	8	mining	mining	NOUN
cana-734	14	9	,	,	PUNCT
cana-734	14	10	and	and	CCONJ
cana-734	14	11	the	the	DET
cana-734	14	12	objective	objective	NOUN
cana-734	14	13	is	be	AUX
cana-734	14	14	to	to	PART
cana-734	14	15	examine	examine	VERB
cana-734	14	16	the	the	DET
cana-734	14	17	utility	utility	NOUN
cana-734	14	18	of	of	ADP
cana-734	14	19	items	item	NOUN
cana-734	14	20	based	base	VERB
cana-734	14	21	on	on	ADP
cana-734	14	22	their	their	PRON
cana-734	14	23	importance	importance	NOUN
cana-734	14	24	in	in	ADP
cana-734	14	25	a	a	DET
cana-734	14	26	database	database	NOUN
cana-734	15	1	[	[	X
cana-734	15	2	2	2	NUM
cana-734	15	3	]	]	PUNCT
cana-734	15	4	.	.	PUNCT
cana-734	16	1	um	um	INTJ
cana-734	16	2	searches	search	NOUN
cana-734	16	3	for	for	ADP
cana-734	16	4	itemsets	itemset	NOUN
cana-734	16	5	,	,	PUNCT
cana-734	16	6	sequences	sequence	NOUN
cana-734	16	7	,	,	PUNCT
cana-734	16	8	or	or	CCONJ
cana-734	16	9	patterns	pattern	NOUN
cana-734	16	10	that	that	PRON
cana-734	16	11	have	have	VERB
cana-734	16	12	some	some	DET
cana-734	16	13	additional	additional	ADJ
cana-734	16	14	measure	measure	NOUN
cana-734	16	15	of	of	ADP
cana-734	16	16	utility	utility	NOUN
cana-734	16	17	.	.	PUNCT
cana-734	17	1	it	it	PRON
cana-734	17	2	allows	allow	VERB
cana-734	17	3	decision	decision	NOUN
cana-734	17	4	-	-	PUNCT
cana-734	17	5	makers	maker	NOUN
cana-734	17	6	to	to	PART
cana-734	17	7	process	process	VERB
cana-734	17	8	the	the	DET
cana-734	17	9	information	information	NOUN
cana-734	17	10	,	,	PUNCT
cana-734	17	11	make	make	VERB
cana-734	17	12	decisions	decision	NOUN
cana-734	17	13	based	base	VERB
cana-734	17	14	on	on	ADP
cana-734	17	15	information	information	NOUN
cana-734	17	16	,	,	PUNCT
cana-734	17	17	and	and	CCONJ
cana-734	17	18	gather	gather	VERB
cana-734	17	19	information	information	NOUN
cana-734	17	20	that	that	PRON
cana-734	17	21	is	be	AUX
cana-734	17	22	relatable	relatable	ADJ
cana-734	17	23	to	to	ADP
cana-734	17	24	their	their	PRON
cana-734	17	25	business	business	NOUN
cana-734	18	1	[	[	X
cana-734	18	2	3	3	NUM
cana-734	18	3	]	]	PUNCT
cana-734	18	4	.	.	PUNCT
cana-734	19	1	high	high	ADJ
cana-734	19	2	utility	utility	NOUN
cana-734	19	3	itemset	itemset	VERB
cana-734	19	4	mining	mining	NOUN
cana-734	19	5	(	(	PUNCT
cana-734	19	6	huim	huim	NOUN
cana-734	19	7	)	)	PUNCT
cana-734	19	8	is	be	AUX
cana-734	19	9	an	an	DET
cana-734	19	10	emerging	emerge	VERB
cana-734	19	11	subfield	subfield	NOUN
cana-734	19	12	in	in	ADP
cana-734	19	13	data	datum	NOUN
cana-734	19	14	mining	mining	NOUN
cana-734	19	15	that	that	PRON
cana-734	19	16	overcomes	overcome	VERB
cana-734	19	17	the	the	DET
cana-734	19	18	limitations	limitation	NOUN
cana-734	19	19	of	of	ADP
cana-734	19	20	traditional	traditional	ADJ
cana-734	19	21	frequent	frequent	ADJ
cana-734	19	22	itemset	itemset	NOUN
cana-734	19	23	mining	mining	NOUN
cana-734	19	24	.	.	PUNCT
cana-734	20	1	while	while	SCONJ
cana-734	20	2	frequent	frequent	ADJ
cana-734	20	3	itemsets	itemset	NOUN
cana-734	20	4	are	be	AUX
cana-734	20	5	concerned	concern	VERB
cana-734	20	6	with	with	ADP
cana-734	20	7	the	the	DET
cana-734	20	8	presence	presence	NOUN
cana-734	20	9	of	of	ADP
cana-734	20	10	items	item	NOUN
cana-734	20	11	,	,	PUNCT
cana-734	20	12	huim	huim	NOUN
cana-734	20	13	introduces	introduce	VERB
cana-734	20	14	utility	utility	NOUN
cana-734	20	15	,	,	PUNCT
cana-734	20	16	that	that	ADV
cana-734	20	17	is	is	ADV
cana-734	20	18	,	,	PUNCT
cana-734	20	19	the	the	DET
cana-734	20	20	importance	importance	NOUN
cana-734	20	21	or	or	CCONJ
cana-734	20	22	value	value	NOUN
cana-734	20	23	of	of	ADP
cana-734	20	24	each	each	DET
cana-734	20	25	item	item	NOUN
cana-734	20	26	.	.	PUNCT
cana-734	21	1	this	this	DET
cana-734	21	2	sophisticated	sophisticated	ADJ
cana-734	21	3	approach	approach	NOUN
cana-734	21	4	allows	allow	VERB
cana-734	21	5	for	for	ADP
cana-734	21	6	the	the	DET
cana-734	21	7	identification	identification	NOUN
cana-734	21	8	of	of	ADP
cana-734	21	9	groupings	grouping	NOUN
cana-734	21	10	of	of	ADP
cana-734	21	11	items	item	NOUN
cana-734	21	12	that	that	PRON
cana-734	21	13	together	together	ADV
cana-734	21	14	provide	provide	VERB
cana-734	21	15	significant	significant	ADJ
cana-734	21	16	usefulness	usefulness	NOUN
cana-734	21	17	,	,	PUNCT
cana-734	21	18	providing	provide	VERB
cana-734	21	19	a	a	DET
cana-734	21	20	more	more	ADV
cana-734	21	21	profound	profound	ADJ
cana-734	21	22	understanding	understanding	NOUN
cana-734	21	23	of	of	ADP
cana-734	21	24	the	the	DET
cana-734	21	25	dynamics	dynamic	NOUN
cana-734	21	26	of	of	ADP
cana-734	21	27	the	the	DET
cana-734	21	28	dataset	dataset	NOUN
cana-734	21	29	[	[	X
cana-734	21	30	4	4	NUM
cana-734	21	31	,	,	PUNCT
cana-734	21	32	5	5	NUM
cana-734	21	33	]	]	PUNCT
cana-734	21	34	.	.	PUNCT
cana-734	22	1	real	real	ADJ
cana-734	22	2	-	-	PUNCT
cana-734	22	3	time	time	NOUN
cana-734	22	4	applications	application	NOUN
cana-734	22	5	are	be	AUX
cana-734	22	6	associated	associate	VERB
cana-734	22	7	with	with	ADP
cana-734	22	8	a	a	DET
cana-734	22	9	wide	wide	ADJ
cana-734	22	10	range	range	NOUN
cana-734	22	11	of	of	ADP
cana-734	22	12	industries	industry	NOUN
cana-734	22	13	,	,	PUNCT
cana-734	22	14	including	include	VERB
cana-734	22	15	retail	retail	NOUN
cana-734	22	16	and	and	CCONJ
cana-734	22	17	healthcare	healthcare	NOUN
cana-734	22	18	,	,	PUNCT
cana-734	22	19	communications	communication	NOUN
cana-734	22	20	on	on	ADP
cana-734	22	21	applied	apply	VERB
cana-734	22	22	nonlinear	nonlinear	ADJ
cana-734	22	23	analysis	analysis	NOUN
cana-734	22	24	issn	issn	NOUN
cana-734	22	25	:	:	PUNCT
cana-734	22	26	1074	1074	NUM
cana-734	22	27	-	-	PUNCT
cana-734	22	28	133x	133x	NUM
cana-734	22	29	vol	vol	NOUN
cana-734	22	30	31	31	NUM
cana-734	22	31	no	no	NOUN
cana-734	22	32	.	.	PUNCT
cana-734	23	1	3s	3s	NUM
cana-734	23	2	(	(	PUNCT
cana-734	23	3	2024	2024	NUM
cana-734	23	4	)	)	PUNCT
cana-734	23	5	91	91	NUM
cana-734	23	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-734	23	7	where	where	SCONJ
cana-734	23	8	identifying	identify	VERB
cana-734	23	9	patterns	pattern	NOUN
cana-734	23	10	for	for	ADP
cana-734	23	11	more	more	ADV
cana-734	23	12	significant	significant	ADJ
cana-734	23	13	economic	economic	ADJ
cana-734	23	14	benefit	benefit	NOUN
cana-734	23	15	or	or	CCONJ
cana-734	23	16	practical	practical	ADJ
cana-734	23	17	use	use	NOUN
cana-734	23	18	is	be	AUX
cana-734	23	19	crucial	crucial	ADJ
cana-734	23	20	.	.	PUNCT
cana-734	24	1	huim	huim	NOUN
cana-734	24	2	provides	provide	VERB
cana-734	24	3	insights	insight	NOUN
cana-734	24	4	that	that	PRON
cana-734	24	5	enable	enable	VERB
cana-734	24	6	decision	decision	NOUN
cana-734	24	7	-	-	PUNCT
cana-734	24	8	makers	maker	NOUN
cana-734	24	9	to	to	PART
cana-734	24	10	optimize	optimize	VERB
cana-734	24	11	processes	process	NOUN
cana-734	24	12	,	,	PUNCT
cana-734	24	13	customize	customize	VERB
cana-734	24	14	tactics	tactic	NOUN
cana-734	24	15	,	,	PUNCT
cana-734	24	16	and	and	CCONJ
cana-734	24	17	make	make	VERB
cana-734	24	18	informed	informed	ADJ
cana-734	24	19	decisions	decision	NOUN
cana-734	24	20	about	about	ADP
cana-734	24	21	the	the	DET
cana-734	24	22	effectiveness	effectiveness	NOUN
cana-734	24	23	of	of	ADP
cana-734	24	24	individual	individual	ADJ
cana-734	24	25	items	item	NOUN
cana-734	24	26	across	across	ADP
cana-734	24	27	a	a	DET
cana-734	24	28	dataset	dataset	NOUN
cana-734	24	29	[	[	X
cana-734	24	30	6	6	NUM
cana-734	24	31	]	]	PUNCT
cana-734	24	32	.	.	PUNCT
cana-734	25	1	high	high	ADJ
cana-734	25	2	utility	utility	NOUN
cana-734	25	3	itemsets	itemset	NOUN
cana-734	25	4	(	(	PUNCT
cana-734	25	5	huis	huis	X
cana-734	25	6	)	)	PUNCT
cana-734	25	7	are	be	AUX
cana-734	25	8	the	the	DET
cana-734	25	9	combination	combination	NOUN
cana-734	25	10	of	of	ADP
cana-734	25	11	patterns	pattern	NOUN
cana-734	25	12	mined	mine	VERB
cana-734	25	13	that	that	PRON
cana-734	25	14	offer	offer	VERB
cana-734	25	15	significant	significant	ADJ
cana-734	25	16	economic	economic	ADJ
cana-734	25	17	or	or	CCONJ
cana-734	25	18	practical	practical	ADJ
cana-734	25	19	implications	implication	NOUN
cana-734	25	20	.	.	PUNCT
cana-734	26	1	these	these	DET
cana-734	26	2	itemsets	itemset	NOUN
cana-734	26	3	prioritize	prioritize	VERB
cana-734	26	4	items	item	NOUN
cana-734	26	5	based	base	VERB
cana-734	26	6	not	not	PART
cana-734	26	7	only	only	ADV
cana-734	26	8	on	on	ADP
cana-734	26	9	their	their	PRON
cana-734	26	10	frequency	frequency	NOUN
cana-734	26	11	but	but	CCONJ
cana-734	26	12	also	also	ADV
cana-734	26	13	on	on	ADP
cana-734	26	14	their	their	PRON
cana-734	26	15	total	total	ADJ
cana-734	26	16	contribution	contribution	NOUN
cana-734	26	17	to	to	ADP
cana-734	26	18	usefulness	usefulness	NOUN
cana-734	26	19	[	[	X
cana-734	26	20	7	7	NUM
cana-734	26	21	]	]	PUNCT
cana-734	26	22	.	.	PUNCT
cana-734	27	1	organizations	organization	NOUN
cana-734	27	2	benefit	benefit	VERB
cana-734	27	3	from	from	ADP
cana-734	27	4	being	be	AUX
cana-734	27	5	able	able	ADJ
cana-734	27	6	to	to	PART
cana-734	27	7	detect	detect	VERB
cana-734	27	8	the	the	DET
cana-734	27	9	profitable	profitable	ADJ
cana-734	27	10	itemset	itemset	NOUN
cana-734	27	11	combinations	combination	NOUN
cana-734	27	12	that	that	PRON
cana-734	27	13	would	would	AUX
cana-734	27	14	lead	lead	VERB
cana-734	27	15	to	to	ADP
cana-734	27	16	a	a	DET
cana-734	27	17	higher	high	ADJ
cana-734	27	18	economic	economic	ADJ
cana-734	27	19	gain	gain	NOUN
cana-734	27	20	in	in	ADP
cana-734	27	21	market	market	NOUN
cana-734	27	22	basket	basket	NOUN
cana-734	27	23	analysis	analysis	NOUN
cana-734	27	24	cases	case	NOUN
cana-734	27	25	[	[	X
cana-734	27	26	8	8	NUM
cana-734	27	27	]	]	PUNCT
cana-734	27	28	.	.	PUNCT
cana-734	28	1	by	by	ADP
cana-734	28	2	extracting	extract	VERB
cana-734	28	3	huis	huis	PROPN
cana-734	28	4	,	,	PUNCT
cana-734	28	5	the	the	DET
cana-734	28	6	relation	relation	NOUN
cana-734	28	7	between	between	ADP
cana-734	28	8	items	item	NOUN
cana-734	28	9	can	can	AUX
cana-734	28	10	be	be	AUX
cana-734	28	11	thoroughly	thoroughly	ADV
cana-734	28	12	explained	explain	VERB
cana-734	28	13	,	,	PUNCT
cana-734	28	14	which	which	PRON
cana-734	28	15	eventually	eventually	ADV
cana-734	28	16	leads	lead	VERB
cana-734	28	17	to	to	ADP
cana-734	28	18	deciding	decide	VERB
cana-734	28	19	with	with	ADP
cana-734	28	20	fine	fine	ADJ
cana-734	28	21	granularity	granularity	NOUN
cana-734	28	22	.	.	PUNCT
cana-734	29	1	so	so	ADV
cana-734	29	2	,	,	PUNCT
cana-734	29	3	the	the	DET
cana-734	29	4	novelty	novelty	NOUN
cana-734	29	5	of	of	ADP
cana-734	29	6	the	the	DET
cana-734	29	7	research	research	NOUN
cana-734	29	8	in	in	ADP
cana-734	29	9	huim	huim	NOUN
cana-734	29	10	can	can	AUX
cana-734	29	11	be	be	AUX
cana-734	29	12	exploited	exploit	VERB
cana-734	29	13	to	to	PART
cana-734	29	14	find	find	VERB
cana-734	29	15	exciting	exciting	ADJ
cana-734	29	16	patterns	pattern	NOUN
cana-734	29	17	,	,	PUNCT
cana-734	29	18	which	which	PRON
cana-734	29	19	,	,	PUNCT
cana-734	29	20	in	in	ADP
cana-734	29	21	turn	turn	NOUN
cana-734	29	22	,	,	PUNCT
cana-734	29	23	can	can	AUX
cana-734	29	24	lead	lead	VERB
cana-734	29	25	to	to	ADP
cana-734	29	26	more	more	ADV
cana-734	29	27	efficient	efficient	ADJ
cana-734	29	28	process	process	NOUN
cana-734	29	29	operations	operation	NOUN
cana-734	29	30	,	,	PUNCT
cana-734	29	31	better	well	ADJ
cana-734	29	32	resource	resource	NOUN
cana-734	29	33	allocation	allocation	NOUN
cana-734	29	34	,	,	PUNCT
cana-734	29	35	and	and	CCONJ
cana-734	29	36	,	,	PUNCT
cana-734	29	37	in	in	ADP
cana-734	29	38	general	general	ADJ
cana-734	29	39	,	,	PUNCT
cana-734	29	40	improved	improve	VERB
cana-734	29	41	strategic	strategic	ADJ
cana-734	29	42	decision	decision	NOUN
cana-734	29	43	-	-	PUNCT
cana-734	29	44	making	making	NOUN
cana-734	29	45	[	[	X
cana-734	29	46	9	9	NUM
cana-734	29	47	,	,	PUNCT
cana-734	29	48	10	10	NUM
cana-734	29	49	]	]	PUNCT
cana-734	29	50	.	.	PUNCT
cana-734	30	1	bioinspired	bioinspire	VERB
cana-734	30	2	or	or	CCONJ
cana-734	30	3	metaheuristic	metaheuristic	ADJ
cana-734	30	4	optimization	optimization	NOUN
cana-734	30	5	algorithms	algorithm	NOUN
cana-734	30	6	are	be	AUX
cana-734	30	7	derived	derive	VERB
cana-734	30	8	from	from	ADP
cana-734	30	9	nature	nature	NOUN
cana-734	30	10	's	's	PART
cana-734	30	11	exceptional	exceptional	ADJ
cana-734	30	12	ability	ability	NOUN
cana-734	30	13	to	to	PART
cana-734	30	14	solve	solve	VERB
cana-734	30	15	intricate	intricate	ADJ
cana-734	30	16	issues	issue	NOUN
cana-734	30	17	with	with	ADP
cana-734	30	18	efficiency	efficiency	NOUN
cana-734	30	19	[	[	X
cana-734	30	20	11	11	NUM
cana-734	30	21	]	]	PUNCT
cana-734	30	22	.	.	PUNCT
cana-734	31	1	genetic	genetic	ADJ
cana-734	31	2	algorithms	algorithm	NOUN
cana-734	31	3	(	(	PUNCT
cana-734	31	4	ga	ga	NOUN
cana-734	31	5	)	)	PUNCT
cana-734	31	6	,	,	PUNCT
cana-734	31	7	particle	particle	NOUN
cana-734	31	8	swarm	swarm	NOUN
cana-734	31	9	optimization	optimization	NOUN
cana-734	31	10	(	(	PUNCT
cana-734	31	11	pso	pso	NOUN
cana-734	31	12	)	)	PUNCT
cana-734	31	13	,	,	PUNCT
cana-734	31	14	and	and	CCONJ
cana-734	31	15	ant	ant	ADJ
cana-734	31	16	colony	colony	NOUN
cana-734	31	17	optimization	optimization	NOUN
cana-734	31	18	(	(	PUNCT
cana-734	31	19	aco	aco	PROPN
cana-734	31	20	)	)	PUNCT
cana-734	31	21	are	be	AUX
cana-734	31	22	algorithms	algorithm	NOUN
cana-734	31	23	that	that	PRON
cana-734	31	24	mimic	mimic	VERB
cana-734	31	25	biological	biological	ADJ
cana-734	31	26	or	or	CCONJ
cana-734	31	27	physical	physical	ADJ
cana-734	31	28	events	event	NOUN
cana-734	31	29	[	[	X
cana-734	31	30	12	12	NUM
cana-734	31	31	]	]	PUNCT
cana-734	31	32	.	.	PUNCT
cana-734	32	1	these	these	DET
cana-734	32	2	algorithms	algorithm	NOUN
cana-734	32	3	systematically	systematically	ADV
cana-734	32	4	search	search	NOUN
cana-734	32	5	solution	solution	NOUN
cana-734	32	6	spaces	space	NOUN
cana-734	32	7	,	,	PUNCT
cana-734	32	8	continuously	continuously	ADV
cana-734	32	9	adjusting	adjust	VERB
cana-734	32	10	and	and	CCONJ
cana-734	32	11	improving	improve	VERB
cana-734	32	12	alternative	alternative	ADJ
cana-734	32	13	solutions	solution	NOUN
cana-734	32	14	to	to	PART
cana-734	32	15	identify	identify	VERB
cana-734	32	16	the	the	DET
cana-734	32	17	optimal	optimal	ADJ
cana-734	32	18	outcomes	outcome	NOUN
cana-734	32	19	.	.	PUNCT
cana-734	33	1	they	they	PRON
cana-734	33	2	are	be	AUX
cana-734	33	3	very	very	ADV
cana-734	33	4	flexible	flexible	ADJ
cana-734	33	5	and	and	CCONJ
cana-734	33	6	can	can	AUX
cana-734	33	7	be	be	AUX
cana-734	33	8	used	use	VERB
cana-734	33	9	for	for	ADP
cana-734	33	10	many	many	ADJ
cana-734	33	11	problems	problem	NOUN
cana-734	33	12	across	across	ADP
cana-734	33	13	areas	area	NOUN
cana-734	33	14	,	,	PUNCT
cana-734	33	15	finding	find	VERB
cana-734	33	16	solutions	solution	NOUN
cana-734	33	17	to	to	ADP
cana-734	33	18	complex	complex	ADJ
cana-734	33	19	optimization	optimization	NOUN
cana-734	33	20	problems	problem	NOUN
cana-734	33	21	with	with	ADP
cana-734	33	22	many	many	ADJ
cana-734	33	23	factors	factor	NOUN
cana-734	33	24	and	and	CCONJ
cana-734	33	25	relationships	relationship	NOUN
cana-734	33	26	that	that	PRON
cana-734	33	27	are	be	AUX
cana-734	33	28	non	non	ADJ
cana-734	33	29	-	-	ADJ
cana-734	33	30	linear	linear	ADJ
cana-734	33	31	[	[	X
cana-734	33	32	13	13	NUM
cana-734	33	33	,	,	PUNCT
cana-734	33	34	14	14	NUM
cana-734	33	35	]	]	PUNCT
cana-734	33	36	.	.	PUNCT
cana-734	34	1	these	these	DET
cana-734	34	2	algorithms	algorithm	NOUN
cana-734	34	3	are	be	AUX
cana-734	34	4	applied	apply	VERB
cana-734	34	5	to	to	ADP
cana-734	34	6	engineering	engineering	NOUN
cana-734	34	7	,	,	PUNCT
cana-734	34	8	logistics	logistic	NOUN
cana-734	34	9	,	,	PUNCT
cana-734	34	10	finance	finance	NOUN
cana-734	34	11	,	,	PUNCT
cana-734	34	12	and	and	CCONJ
cana-734	34	13	machine	machine	NOUN
cana-734	34	14	learning	learn	VERB
cana-734	34	15	to	to	PART
cana-734	34	16	give	give	VERB
cana-734	34	17	adaptive	adaptive	ADJ
cana-734	34	18	and	and	CCONJ
cana-734	34	19	efficient	efficient	ADJ
cana-734	34	20	solutions	solution	NOUN
cana-734	34	21	[	[	X
cana-734	34	22	15	15	NUM
cana-734	34	23	]	]	PUNCT
cana-734	34	24	.	.	PUNCT
cana-734	35	1	the	the	DET
cana-734	35	2	integration	integration	NOUN
cana-734	35	3	of	of	ADP
cana-734	35	4	cross	cross	NOUN
cana-734	35	5	-	-	NOUN
cana-734	35	6	entropy	entropy	ADJ
cana-734	35	7	(	(	PUNCT
cana-734	35	8	ce	ce	PROPN
cana-734	35	9	)	)	PUNCT
cana-734	35	10	,	,	PUNCT
cana-734	35	11	genetic	genetic	ADJ
cana-734	35	12	algorithms	algorithm	NOUN
cana-734	35	13	(	(	PUNCT
cana-734	35	14	ga	ga	NOUN
cana-734	35	15	)	)	PUNCT
cana-734	35	16	,	,	PUNCT
cana-734	35	17	and	and	CCONJ
cana-734	35	18	bacterial	bacterial	ADJ
cana-734	35	19	foraging	forage	VERB
cana-734	35	20	algorithms	algorithm	NOUN
cana-734	35	21	(	(	PUNCT
cana-734	35	22	bfa	bfa	PROPN
cana-734	35	23	)	)	PUNCT
cana-734	35	24	in	in	ADP
cana-734	35	25	huim	huim	NOUN
cana-734	35	26	gives	give	VERB
cana-734	35	27	an	an	DET
cana-734	35	28	effective	effective	ADJ
cana-734	35	29	and	and	CCONJ
cana-734	35	30	robust	robust	ADJ
cana-734	35	31	method	method	NOUN
cana-734	35	32	for	for	ADP
cana-734	35	33	recognizing	recognize	VERB
cana-734	35	34	patterns	pattern	NOUN
cana-734	35	35	.	.	PUNCT
cana-734	36	1	cross	cross	PROPN
cana-734	36	2	entropy	entropy	PROPN
cana-734	36	3	functions	function	NOUN
cana-734	36	4	as	as	ADP
cana-734	36	5	a	a	DET
cana-734	36	6	genetic	genetic	ADJ
cana-734	36	7	operator	operator	NOUN
cana-734	36	8	that	that	PRON
cana-734	36	9	directs	direct	VERB
cana-734	36	10	the	the	DET
cana-734	36	11	process	process	NOUN
cana-734	36	12	of	of	ADP
cana-734	36	13	searching	search	VERB
cana-734	36	14	by	by	ADP
cana-734	36	15	assessing	assess	VERB
cana-734	36	16	disparities	disparity	NOUN
cana-734	36	17	in	in	ADP
cana-734	36	18	distributions	distribution	NOUN
cana-734	36	19	.	.	PUNCT
cana-734	37	1	this	this	DET
cana-734	37	2	research	research	NOUN
cana-734	37	3	improves	improve	VERB
cana-734	37	4	the	the	DET
cana-734	37	5	efficiency	efficiency	NOUN
cana-734	37	6	of	of	ADP
cana-734	37	7	high	high	ADJ
cana-734	37	8	utility	utility	NOUN
cana-734	37	9	itemset	itemset	NOUN
cana-734	37	10	mining	mining	NOUN
cana-734	37	11	(	(	PUNCT
cana-734	37	12	huim	huim	NOUN
cana-734	37	13	)	)	PUNCT
cana-734	37	14	by	by	ADP
cana-734	37	15	leveraging	leverage	VERB
cana-734	37	16	the	the	DET
cana-734	37	17	genetic	genetic	ADJ
cana-734	37	18	algorithms	algorithm	NOUN
cana-734	37	19	(	(	PUNCT
cana-734	37	20	ga	ga	NOUN
cana-734	37	21	)	)	PUNCT
cana-734	37	22	and	and	CCONJ
cana-734	37	23	bacterial	bacterial	ADJ
cana-734	37	24	foraging	forage	VERB
cana-734	37	25	algorithm	algorithm	NOUN
cana-734	37	26	(	(	PUNCT
cana-734	37	27	bfa	bfa	PROPN
cana-734	37	28	)	)	PUNCT
cana-734	37	29	in	in	ADP
cana-734	37	30	terms	term	NOUN
cana-734	37	31	of	of	ADP
cana-734	37	32	exploration	exploration	NOUN
cana-734	37	33	and	and	CCONJ
cana-734	37	34	exploitation	exploitation	NOUN
cana-734	37	35	.	.	PUNCT
cana-734	38	1	it	it	PRON
cana-734	38	2	aims	aim	VERB
cana-734	38	3	to	to	PART
cana-734	38	4	overcome	overcome	VERB
cana-734	38	5	the	the	DET
cana-734	38	6	barriers	barrier	NOUN
cana-734	38	7	due	due	ADP
cana-734	38	8	to	to	ADP
cana-734	38	9	early	early	ADJ
cana-734	38	10	convergence	convergence	NOUN
cana-734	38	11	,	,	PUNCT
cana-734	38	12	and	and	CCONJ
cana-734	38	13	at	at	ADP
cana-734	38	14	the	the	DET
cana-734	38	15	same	same	ADJ
cana-734	38	16	time	time	NOUN
cana-734	38	17	,	,	PUNCT
cana-734	38	18	it	it	PRON
cana-734	38	19	searches	search	VERB
cana-734	38	20	for	for	ADP
cana-734	38	21	the	the	DET
cana-734	38	22	solution	solution	NOUN
cana-734	38	23	space	space	NOUN
cana-734	38	24	as	as	ADV
cana-734	38	25	broadly	broadly	ADV
cana-734	38	26	as	as	ADP
cana-734	38	27	possible	possible	ADJ
cana-734	38	28	.	.	PUNCT
cana-734	39	1	cross	cross	NOUN
cana-734	39	2	entropy	entropy	PROPN
cana-734	39	3	(	(	PUNCT
cana-734	39	4	ce	ce	PROPN
cana-734	39	5	)	)	PUNCT
cana-734	39	6	is	be	AUX
cana-734	39	7	used	use	VERB
cana-734	39	8	as	as	ADP
cana-734	39	9	a	a	DET
cana-734	39	10	genetic	genetic	ADJ
cana-734	39	11	operator	operator	NOUN
cana-734	39	12	to	to	PART
cana-734	39	13	enrich	enrich	VERB
cana-734	39	14	optimization	optimization	NOUN
cana-734	39	15	.	.	PUNCT
cana-734	40	1	the	the	DET
cana-734	40	2	primary	primary	ADJ
cana-734	40	3	goal	goal	NOUN
cana-734	40	4	is	be	AUX
cana-734	40	5	to	to	PART
cana-734	40	6	improve	improve	VERB
cana-734	40	7	the	the	DET
cana-734	40	8	efficiency	efficiency	NOUN
cana-734	40	9	and	and	CCONJ
cana-734	40	10	efficacy	efficacy	NOUN
cana-734	40	11	of	of	ADP
cana-734	40	12	huim	huim	NOUN
cana-734	40	13	using	use	VERB
cana-734	40	14	the	the	DET
cana-734	40	15	complementary	complementary	ADJ
cana-734	40	16	capabilities	capability	NOUN
cana-734	40	17	of	of	ADP
cana-734	40	18	parallel	parallel	ADJ
cana-734	40	19	bioinspired	bioinspire	VERB
cana-734	40	20	algorithms	algorithm	NOUN
cana-734	40	21	.	.	PUNCT
cana-734	41	1	the	the	DET
cana-734	41	2	primary	primary	ADJ
cana-734	41	3	intent	intent	NOUN
cana-734	41	4	is	be	AUX
cana-734	41	5	to	to	PART
cana-734	41	6	bring	bring	VERB
cana-734	41	7	a	a	DET
cana-734	41	8	fundamentally	fundamentally	ADV
cana-734	41	9	more	more	ADV
cana-734	41	10	robust	robust	ADJ
cana-734	41	11	way	way	NOUN
cana-734	41	12	of	of	ADP
cana-734	41	13	extracting	extract	VERB
cana-734	41	14	utility	utility	NOUN
cana-734	41	15	-	-	PUNCT
cana-734	41	16	driven	drive	VERB
cana-734	41	17	patterns	pattern	NOUN
cana-734	41	18	to	to	ADP
cana-734	41	19	the	the	DET
cana-734	41	20	data	datum	NOUN
cana-734	41	21	mining	mining	NOUN
cana-734	41	22	community	community	NOUN
cana-734	41	23	.	.	PUNCT
cana-734	42	1	this	this	PRON
cana-734	42	2	looks	look	VERB
cana-734	42	3	at	at	ADP
cana-734	42	4	studying	study	VERB
cana-734	42	5	particularly	particularly	ADV
cana-734	42	6	those	those	DET
cana-734	42	7	fields	field	NOUN
cana-734	42	8	where	where	SCONJ
cana-734	42	9	the	the	DET
cana-734	42	10	utility	utility	NOUN
cana-734	42	11	of	of	ADP
cana-734	42	12	the	the	DET
cana-734	42	13	objects	object	NOUN
cana-734	42	14	is	be	AUX
cana-734	42	15	at	at	ADP
cana-734	42	16	the	the	DET
cana-734	42	17	heart	heart	NOUN
cana-734	42	18	of	of	ADP
cana-734	42	19	the	the	DET
cana-734	42	20	economics	economic	NOUN
cana-734	42	21	or	or	CCONJ
cana-734	42	22	pragmatics	pragmatic	NOUN
cana-734	42	23	of	of	ADP
cana-734	42	24	the	the	DET
cana-734	42	25	field	field	NOUN
cana-734	42	26	.	.	PUNCT
cana-734	43	1	the	the	DET
cana-734	43	2	applied	apply	VERB
cana-734	43	3	optimization	optimization	NOUN
cana-734	43	4	techniques	technique	NOUN
cana-734	43	5	aim	aim	VERB
cana-734	43	6	to	to	PART
cana-734	43	7	accelerate	accelerate	VERB
cana-734	43	8	the	the	DET
cana-734	43	9	discovery	discovery	NOUN
cana-734	43	10	of	of	ADP
cana-734	43	11	valuable	valuable	ADJ
cana-734	43	12	item	item	NOUN
cana-734	43	13	sets	set	NOUN
cana-734	43	14	,	,	PUNCT
cana-734	43	15	leading	lead	VERB
cana-734	43	16	to	to	ADP
cana-734	43	17	lower	low	ADJ
cana-734	43	18	computational	computational	ADJ
cana-734	43	19	costs	cost	NOUN
cana-734	43	20	and	and	CCONJ
cana-734	43	21	faster	fast	ADJ
cana-734	43	22	knowledge	knowledge	NOUN
cana-734	43	23	discovery	discovery	NOUN
cana-734	43	24	.	.	PUNCT
cana-734	44	1	the	the	DET
cana-734	44	2	combination	combination	NOUN
cana-734	44	3	of	of	ADP
cana-734	44	4	these	these	DET
cana-734	44	5	optimization	optimization	NOUN
cana-734	44	6	strategies	strategy	NOUN
cana-734	44	7	reduces	reduce	VERB
cana-734	44	8	computing	compute	VERB
cana-734	44	9	difficulties	difficulty	NOUN
cana-734	44	10	,	,	PUNCT
cana-734	44	11	resulting	result	VERB
cana-734	44	12	in	in	ADP
cana-734	44	13	excellent	excellent	ADJ
cana-734	44	14	outcomes	outcome	NOUN
cana-734	44	15	and	and	CCONJ
cana-734	44	16	enabling	enable	VERB
cana-734	44	17	the	the	DET
cana-734	44	18	extraction	extraction	NOUN
cana-734	44	19	of	of	ADP
cana-734	44	20	valuable	valuable	ADJ
cana-734	44	21	patterns	pattern	NOUN
cana-734	44	22	in	in	ADP
cana-734	44	23	various	various	ADJ
cana-734	44	24	applications	application	NOUN
cana-734	44	25	.	.	PUNCT
cana-734	45	1	this	this	DET
cana-734	45	2	strategy	strategy	NOUN
cana-734	45	3	effectively	effectively	ADV
cana-734	45	4	addresses	address	VERB
cana-734	45	5	the	the	DET
cana-734	45	6	issue	issue	NOUN
cana-734	45	7	of	of	ADP
cana-734	45	8	premature	premature	ADJ
cana-734	45	9	convergence	convergence	NOUN
cana-734	45	10	and	and	CCONJ
cana-734	45	11	enhances	enhance	VERB
cana-734	45	12	the	the	DET
cana-734	45	13	process	process	NOUN
cana-734	45	14	of	of	ADP
cana-734	45	15	identifying	identify	VERB
cana-734	45	16	patterns	pattern	NOUN
cana-734	45	17	that	that	PRON
cana-734	45	18	have	have	VERB
cana-734	45	19	economic	economic	ADJ
cana-734	45	20	and	and	CCONJ
cana-734	45	21	practical	practical	ADJ
cana-734	45	22	value	value	NOUN
cana-734	45	23	.	.	PUNCT
cana-734	46	1	it	it	PRON
cana-734	46	2	optimizes	optimize	VERB
cana-734	46	3	decision	decision	NOUN
cana-734	46	4	support	support	NOUN
cana-734	46	5	and	and	CCONJ
cana-734	46	6	facilitates	facilitate	VERB
cana-734	46	7	knowledge	knowledge	NOUN
cana-734	46	8	discovery	discovery	NOUN
cana-734	47	1	[	[	X
cana-734	47	2	16	16	NUM
cana-734	47	3	]	]	PUNCT
cana-734	47	4	.	.	PUNCT
cana-734	48	1	the	the	DET
cana-734	48	2	remainder	remainder	NOUN
cana-734	48	3	of	of	ADP
cana-734	48	4	the	the	DET
cana-734	48	5	article	article	NOUN
cana-734	48	6	is	be	AUX
cana-734	48	7	organized	organize	VERB
cana-734	48	8	as	as	SCONJ
cana-734	48	9	follows	follow	VERB
cana-734	48	10	:	:	PUNCT
cana-734	48	11	the	the	DET
cana-734	48	12	overview	overview	NOUN
cana-734	48	13	of	of	ADP
cana-734	48	14	huim	huim	NOUN
cana-734	48	15	,	,	PUNCT
cana-734	48	16	motivation	motivation	NOUN
cana-734	48	17	,	,	PUNCT
cana-734	48	18	and	and	CCONJ
cana-734	48	19	optimization	optimization	NOUN
cana-734	48	20	approaches	approach	NOUN
cana-734	48	21	in	in	ADP
cana-734	48	22	huim	huim	NOUN
cana-734	48	23	identification	identification	NOUN
cana-734	48	24	is	be	AUX
cana-734	48	25	explained	explain	VERB
cana-734	48	26	in	in	ADP
cana-734	48	27	section	section	NOUN
cana-734	48	28	1	1	NUM
cana-734	48	29	,	,	PUNCT
cana-734	48	30	the	the	DET
cana-734	48	31	recent	recent	ADJ
cana-734	48	32	research	research	NOUN
cana-734	48	33	in	in	ADP
cana-734	48	34	huim	huim	NOUN
cana-734	48	35	identification	identification	NOUN
cana-734	48	36	using	use	VERB
cana-734	48	37	optimization	optimization	NOUN
cana-734	48	38	approaches	approach	NOUN
cana-734	48	39	with	with	ADP
cana-734	48	40	its	its	PRON
cana-734	48	41	research	research	NOUN
cana-734	48	42	gap	gap	NOUN
cana-734	48	43	is	be	AUX
cana-734	48	44	given	give	VERB
cana-734	48	45	in	in	ADP
cana-734	48	46	section	section	NOUN
cana-734	48	47	2	2	NUM
cana-734	48	48	,	,	PUNCT
cana-734	48	49	materials	material	NOUN
cana-734	48	50	and	and	CCONJ
cana-734	48	51	communications	communication	NOUN
cana-734	48	52	on	on	ADP
cana-734	48	53	applied	apply	VERB
cana-734	48	54	nonlinear	nonlinear	ADJ
cana-734	48	55	analysis	analysis	NOUN
cana-734	48	56	issn	issn	NOUN
cana-734	48	57	:	:	PUNCT
cana-734	48	58	1074	1074	NUM
cana-734	48	59	-	-	PUNCT
cana-734	48	60	133x	133x	NUM
cana-734	48	61	vol	vol	NOUN
cana-734	48	62	31	31	NUM
cana-734	48	63	no	no	NOUN
cana-734	48	64	.	.	PUNCT
cana-734	49	1	3s	3s	NUM
cana-734	49	2	(	(	PUNCT
cana-734	49	3	2024	2024	NUM
cana-734	49	4	)	)	PUNCT
cana-734	49	5	92	92	NUM
cana-734	49	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-734	49	7	methods	method	NOUN
cana-734	49	8	as	as	ADV
cana-734	49	9	well	well	ADV
cana-734	49	10	as	as	ADP
cana-734	49	11	the	the	DET
cana-734	49	12	proposed	propose	VERB
cana-734	49	13	hybridized	hybridize	VERB
cana-734	49	14	cross	cross	PROPN
cana-734	49	15	entropy	entropy	PROPN
cana-734	49	16	assisted	assist	VERB
cana-734	49	17	genetic	genetic	ADJ
cana-734	49	18	algorithm	algorithm	NOUN
cana-734	49	19	with	with	ADP
cana-734	49	20	bacterial	bacterial	ADJ
cana-734	49	21	foraging	forage	VERB
cana-734	49	22	algorithm	algorithm	NOUN
cana-734	49	23	(	(	PUNCT
cana-734	49	24	hceg	hceg	PROPN
cana-734	49	25	-	-	PUNCT
cana-734	49	26	bfa	bfa	PROPN
cana-734	49	27	)	)	PUNCT
cana-734	49	28	is	be	AUX
cana-734	49	29	detailed	detail	VERB
cana-734	49	30	in	in	ADP
cana-734	49	31	section	section	NOUN
cana-734	49	32	3	3	NUM
cana-734	49	33	,	,	PUNCT
cana-734	49	34	the	the	DET
cana-734	49	35	experimental	experimental	ADJ
cana-734	49	36	outcome	outcome	NOUN
cana-734	49	37	and	and	CCONJ
cana-734	49	38	its	its	PRON
cana-734	49	39	comparative	comparative	ADJ
cana-734	49	40	analysis	analysis	NOUN
cana-734	49	41	is	be	AUX
cana-734	49	42	illustrated	illustrate	VERB
cana-734	49	43	with	with	ADP
cana-734	49	44	discussion	discussion	NOUN
cana-734	49	45	in	in	ADP
cana-734	49	46	section	section	NOUN
cana-734	49	47	4	4	NUM
cana-734	49	48	,	,	PUNCT
cana-734	49	49	and	and	CCONJ
cana-734	49	50	the	the	DET
cana-734	49	51	article	article	NOUN
cana-734	49	52	is	be	AUX
cana-734	49	53	concluded	conclude	VERB
cana-734	49	54	with	with	ADP
cana-734	49	55	future	future	ADJ
cana-734	49	56	research	research	NOUN
cana-734	49	57	direction	direction	NOUN
cana-734	49	58	in	in	ADP
cana-734	49	59	section	section	NOUN
cana-734	49	60	5	5	NUM
cana-734	49	61	,	,	PUNCT
cana-734	49	62	2	2	NUM
cana-734	49	63	.	.	NUM
cana-734	49	64	related	relate	VERB
cana-734	49	65	works	work	NOUN
cana-734	49	66	in	in	ADP
cana-734	49	67	this	this	DET
cana-734	49	68	paper	paper	NOUN
cana-734	50	1	[	[	X
cana-734	50	2	17	17	NUM
cana-734	50	3	]	]	PUNCT
cana-734	50	4	,	,	PUNCT
cana-734	50	5	the	the	DET
cana-734	50	6	authors	author	NOUN
cana-734	50	7	propose	propose	VERB
cana-734	50	8	a	a	DET
cana-734	50	9	method	method	NOUN
cana-734	50	10	called	call	VERB
cana-734	50	11	ant	ant	ADJ
cana-734	50	12	colony	colony	NOUN
cana-734	50	13	-	-	PUNCT
cana-734	50	14	based	base	VERB
cana-734	50	15	high	high	ADJ
cana-734	50	16	utility	utility	NOUN
cana-734	50	17	infrequent	infrequent	ADJ
cana-734	50	18	itemset	itemset	NOUN
cana-734	50	19	mining	mining	NOUN
cana-734	50	20	(	(	PUNCT
cana-734	50	21	achuiim	achuiim	NOUN
cana-734	50	22	)	)	PUNCT
cana-734	50	23	to	to	PART
cana-734	50	24	efficiently	efficiently	ADV
cana-734	50	25	mine	mine	VERB
cana-734	50	26	high	high	ADJ
cana-734	50	27	utility	utility	NOUN
cana-734	50	28	infrequent	infrequent	ADJ
cana-734	50	29	itemsets	itemset	NOUN
cana-734	50	30	.	.	PUNCT
cana-734	51	1	the	the	DET
cana-734	51	2	approach	approach	NOUN
cana-734	51	3	is	be	AUX
cana-734	51	4	based	base	VERB
cana-734	51	5	on	on	ADP
cana-734	51	6	the	the	DET
cana-734	51	7	behaviour	behaviour	NOUN
cana-734	51	8	of	of	ADP
cana-734	51	9	ants	ant	NOUN
cana-734	51	10	depositing	deposit	VERB
cana-734	51	11	pheromones	pheromone	NOUN
cana-734	51	12	to	to	PART
cana-734	51	13	find	find	VERB
cana-734	51	14	the	the	DET
cana-734	51	15	shortest	short	ADJ
cana-734	51	16	path	path	NOUN
cana-734	51	17	to	to	ADP
cana-734	51	18	food	food	NOUN
cana-734	51	19	.	.	PUNCT
cana-734	52	1	similarly	similarly	ADV
cana-734	52	2	,	,	PUNCT
cana-734	52	3	the	the	DET
cana-734	52	4	algorithm	algorithm	NOUN
cana-734	52	5	uses	use	VERB
cana-734	52	6	pheromone	pheromone	NOUN
cana-734	52	7	traces	trace	NOUN
cana-734	52	8	to	to	PART
cana-734	52	9	guide	guide	VERB
cana-734	52	10	the	the	DET
cana-734	52	11	search	search	NOUN
cana-734	52	12	for	for	ADP
cana-734	52	13	infrequent	infrequent	ADJ
cana-734	52	14	itemsets	itemset	NOUN
cana-734	52	15	with	with	ADP
cana-734	52	16	high	high	ADJ
cana-734	52	17	utility	utility	NOUN
cana-734	52	18	.	.	PUNCT
cana-734	53	1	by	by	ADP
cana-734	53	2	mimicking	mimic	VERB
cana-734	53	3	the	the	DET
cana-734	53	4	behaviour	behaviour	NOUN
cana-734	53	5	of	of	ADP
cana-734	53	6	ants	ant	NOUN
cana-734	53	7	,	,	PUNCT
cana-734	53	8	achuiim	achuiim	NOUN
cana-734	53	9	aims	aim	VERB
cana-734	53	10	to	to	PART
cana-734	53	11	uncover	uncover	VERB
cana-734	53	12	rare	rare	ADJ
cana-734	53	13	cases	case	NOUN
cana-734	53	14	of	of	ADP
cana-734	53	15	highly	highly	ADV
cana-734	53	16	profitable	profitable	ADJ
cana-734	53	17	itemsets	itemset	NOUN
cana-734	53	18	.	.	PUNCT
cana-734	54	1	this	this	DET
cana-734	54	2	paper	paper	NOUN
cana-734	54	3	[	[	X
cana-734	54	4	18	18	NUM
cana-734	54	5	]	]	PUNCT
cana-734	54	6	presents	present	VERB
cana-734	54	7	a	a	DET
cana-734	54	8	method	method	NOUN
cana-734	54	9	based	base	VERB
cana-734	54	10	on	on	ADP
cana-734	54	11	binary	binary	ADJ
cana-734	54	12	particle	particle	NOUN
cana-734	54	13	swarm	swarm	NOUN
cana-734	54	14	optimization	optimization	NOUN
cana-734	54	15	(	(	PUNCT
cana-734	54	16	bpso	bpso	NOUN
cana-734	54	17	)	)	PUNCT
cana-734	54	18	for	for	ADP
cana-734	54	19	high	high	ADJ
cana-734	54	20	utility	utility	NOUN
cana-734	54	21	itemset	itemset	NOUN
cana-734	54	22	mining	mining	NOUN
cana-734	54	23	without	without	ADP
cana-734	54	24	predefining	predefine	VERB
cana-734	54	25	a	a	DET
cana-734	54	26	minimum	minimum	ADJ
cana-734	54	27	utility	utility	NOUN
cana-734	54	28	threshold	threshold	NOUN
cana-734	54	29	.	.	PUNCT
cana-734	55	1	unlike	unlike	ADP
cana-734	55	2	traditional	traditional	ADJ
cana-734	55	3	approaches	approach	NOUN
cana-734	55	4	,	,	PUNCT
cana-734	55	5	this	this	DET
cana-734	55	6	method	method	NOUN
cana-734	55	7	optimizes	optimize	VERB
cana-734	55	8	the	the	DET
cana-734	55	9	search	search	NOUN
cana-734	55	10	for	for	ADP
cana-734	55	11	high	high	ADJ
cana-734	55	12	utility	utility	NOUN
cana-734	55	13	itemsets	itemset	NOUN
cana-734	55	14	dynamically	dynamically	ADV
cana-734	55	15	,	,	PUNCT
cana-734	55	16	adjusting	adjust	VERB
cana-734	55	17	the	the	DET
cana-734	55	18	threshold	threshold	NOUN
cana-734	55	19	as	as	ADP
cana-734	55	20	a	a	DET
cana-734	55	21	post	post	ADJ
cana-734	55	22	-	-	ADJ
cana-734	55	23	processing	processing	ADJ
cana-734	55	24	step	step	NOUN
cana-734	55	25	.	.	PUNCT
cana-734	56	1	the	the	DET
cana-734	56	2	algorithm	algorithm	NOUN
cana-734	56	3	utilizes	utilize	VERB
cana-734	56	4	transactions	transaction	NOUN
cana-734	56	5	with	with	ADP
cana-734	56	6	the	the	DET
cana-734	56	7	highest	high	ADJ
cana-734	56	8	utility	utility	NOUN
cana-734	56	9	as	as	ADP
cana-734	56	10	initial	initial	ADJ
cana-734	56	11	populations	population	NOUN
cana-734	56	12	for	for	ADP
cana-734	56	13	particles	particle	NOUN
cana-734	56	14	,	,	PUNCT
cana-734	56	15	enhancing	enhance	VERB
cana-734	56	16	efficiency	efficiency	NOUN
cana-734	56	17	in	in	ADP
cana-734	56	18	discovering	discover	VERB
cana-734	56	19	high	high	ADJ
cana-734	56	20	utility	utility	NOUN
cana-734	56	21	itemsets	itemset	NOUN
cana-734	56	22	.	.	PUNCT
cana-734	57	1	in	in	ADP
cana-734	57	2	[	[	X
cana-734	57	3	19	19	NUM
cana-734	57	4	]	]	PUNCT
cana-734	57	5	,	,	PUNCT
cana-734	57	6	the	the	DET
cana-734	57	7	authors	author	NOUN
cana-734	57	8	present	present	VERB
cana-734	57	9	hill	hill	NOUN
cana-734	57	10	climbing	climbing	NOUN
cana-734	57	11	and	and	CCONJ
cana-734	57	12	simulated	simulated	ADJ
cana-734	57	13	annealing	annealing	NOUN
cana-734	57	14	-	-	PUNCT
cana-734	57	15	based	base	VERB
cana-734	57	16	algorithms	algorithm	NOUN
cana-734	57	17	,	,	PUNCT
cana-734	57	18	namely	namely	ADV
cana-734	57	19	huim	huim	NOUN
cana-734	57	20	using	use	VERB
cana-734	57	21	hill	hill	NOUN
cana-734	57	22	climber	climber	NOUN
cana-734	57	23	and	and	CCONJ
cana-734	57	24	simulated	simulate	VERB
cana-734	57	25	annealing	annealing	NOUN
cana-734	57	26	(	(	PUNCT
cana-734	57	27	huim	huim	NOUN
cana-734	57	28	-	-	NOUN
cana-734	57	29	hcsa	hcsa	ADJ
cana-734	57	30	)	)	PUNCT
cana-734	57	31	,	,	PUNCT
cana-734	57	32	for	for	ADP
cana-734	57	33	high	high	ADJ
cana-734	57	34	utility	utility	NOUN
cana-734	57	35	itemset	itemset	NOUN
cana-734	57	36	mining	mining	NOUN
cana-734	57	37	.	.	PUNCT
cana-734	58	1	these	these	DET
cana-734	58	2	algorithms	algorithm	NOUN
cana-734	58	3	are	be	AUX
cana-734	58	4	adequate	adequate	ADJ
cana-734	58	5	to	to	PART
cana-734	58	6	work	work	VERB
cana-734	58	7	on	on	ADP
cana-734	58	8	an	an	DET
cana-734	58	9	exponentially	exponentially	ADV
cana-734	58	10	sized	sized	ADJ
cana-734	58	11	search	search	NOUN
cana-734	58	12	space	space	NOUN
cana-734	58	13	of	of	ADP
cana-734	58	14	the	the	DET
cana-734	58	15	database	database	NOUN
cana-734	58	16	and	and	CCONJ
cana-734	58	17	multiple	multiple	ADJ
cana-734	58	18	items	item	NOUN
cana-734	58	19	on	on	ADP
cana-734	58	20	each	each	DET
cana-734	58	21	transaction	transaction	NOUN
cana-734	58	22	.	.	PUNCT
cana-734	59	1	these	these	DET
cana-734	59	2	algorithms	algorithm	NOUN
cana-734	59	3	provide	provide	VERB
cana-734	59	4	faster	fast	ADJ
cana-734	59	5	speed	speed	NOUN
cana-734	59	6	compared	compare	VERB
cana-734	59	7	to	to	ADP
cana-734	59	8	various	various	ADJ
cana-734	59	9	heuristic	heuristic	ADJ
cana-734	59	10	and	and	CCONJ
cana-734	59	11	evolutionary	evolutionary	ADJ
cana-734	59	12	techniques	technique	NOUN
cana-734	59	13	that	that	PRON
cana-734	59	14	convert	convert	VERB
cana-734	59	15	the	the	DET
cana-734	59	16	input	input	NOUN
cana-734	59	17	database	database	NOUN
cana-734	59	18	into	into	ADP
cana-734	59	19	a	a	DET
cana-734	59	20	bitmap	bitmap	NOUN
cana-734	59	21	by	by	ADP
cana-734	59	22	using	use	VERB
cana-734	59	23	evolutionary	evolutionary	ADJ
cana-734	59	24	techniques	technique	NOUN
cana-734	59	25	to	to	PART
cana-734	59	26	enhance	enhance	VERB
cana-734	59	27	population	population	NOUN
cana-734	59	28	diversity	diversity	NOUN
cana-734	59	29	.	.	PUNCT
cana-734	60	1	this	this	DET
cana-734	60	2	researcher	researcher	NOUN
cana-734	60	3	presents	present	VERB
cana-734	60	4	two	two	NUM
cana-734	60	5	algorithms	algorithm	NOUN
cana-734	60	6	in	in	ADP
cana-734	60	7	[	[	X
cana-734	60	8	20	20	NUM
cana-734	60	9	]	]	PUNCT
cana-734	60	10	,	,	PUNCT
cana-734	60	11	top	top	ADJ
cana-734	60	12	-	-	PUNCT
cana-734	60	13	k	k	NOUN
cana-734	60	14	high	high	ADJ
cana-734	60	15	utility	utility	NOUN
cana-734	60	16	itemset	itemset	VERB
cana-734	60	17	mining	mining	NOUN
cana-734	60	18	based	base	VERB
cana-734	60	19	on	on	ADP
cana-734	60	20	the	the	DET
cana-734	60	21	cross	cross	PROPN
cana-734	60	22	entropy	entropy	PROPN
cana-734	60	23	method	method	NOUN
cana-734	60	24	(	(	PUNCT
cana-734	60	25	tku	tku	NOUN
cana-734	60	26	-	-	PUNCT
cana-734	60	27	ce	ce	NOUN
cana-734	60	28	)	)	PUNCT
cana-734	60	29	and	and	CCONJ
cana-734	60	30	tku	tku	NOUN
cana-734	60	31	-	-	PUNCT
cana-734	60	32	ce+	ce+	NOUN
cana-734	60	33	,	,	PUNCT
cana-734	60	34	for	for	ADP
cana-734	60	35	heuristically	heuristically	ADV
cana-734	60	36	mining	mine	VERB
cana-734	60	37	the	the	DET
cana-734	60	38	top	top	ADJ
cana-734	60	39	-	-	PUNCT
cana-734	60	40	k	k	NOUN
cana-734	60	41	huim	huim	NOUN
cana-734	60	42	.	.	PUNCT
cana-734	61	1	to	to	PART
cana-734	61	2	update	update	VERB
cana-734	61	3	probabilities	probability	NOUN
cana-734	61	4	of	of	ADP
cana-734	61	5	itemsets	itemset	NOUN
cana-734	61	6	with	with	ADP
cana-734	61	7	high	high	ADJ
cana-734	61	8	-	-	PUNCT
cana-734	61	9	utility	utility	NOUN
cana-734	61	10	values	value	NOUN
cana-734	61	11	,	,	PUNCT
cana-734	61	12	tku	tku	PROPN
cana-734	61	13	-	-	PUNCT
cana-734	61	14	ce	ce	NOUN
cana-734	61	15	employs	employ	VERB
cana-734	61	16	cross	cross	NOUN
cana-734	61	17	-	-	ADJ
cana-734	61	18	entropy	entropy	ADJ
cana-734	61	19	and	and	CCONJ
cana-734	61	20	combinatorial	combinatorial	ADJ
cana-734	61	21	optimization	optimization	NOUN
cana-734	61	22	methods	method	NOUN
cana-734	61	23	.	.	PUNCT
cana-734	62	1	more	more	ADV
cana-734	62	2	effective	effective	ADJ
cana-734	62	3	tku	tku	ADJ
cana-734	62	4	-	-	PUNCT
cana-734	62	5	ce+	ce+	PROPN
cana-734	62	6	includes	include	VERB
cana-734	62	7	a	a	DET
cana-734	62	8	filter	filter	NOUN
cana-734	62	9	and	and	CCONJ
cana-734	62	10	an	an	DET
cana-734	62	11	innovative	innovative	ADJ
cana-734	62	12	mutation	mutation	NOUN
cana-734	62	13	strategy	strategy	NOUN
cana-734	62	14	to	to	PART
cana-734	62	15	prevent	prevent	VERB
cana-734	62	16	it	it	PRON
cana-734	62	17	from	from	ADP
cana-734	62	18	getting	getting	AUX
cana-734	62	19	fixed	fix	VERB
cana-734	62	20	with	with	ADP
cana-734	62	21	ineffective	ineffective	ADJ
cana-734	62	22	items	item	NOUN
cana-734	62	23	,	,	PUNCT
cana-734	62	24	and	and	CCONJ
cana-734	62	25	it	it	PRON
cana-734	62	26	pushes	push	VERB
cana-734	62	27	the	the	DET
cana-734	62	28	sampling	sampling	NOUN
cana-734	62	29	by	by	ADP
cana-734	62	30	sealing	seal	VERB
cana-734	62	31	it	it	PRON
cana-734	62	32	with	with	ADP
cana-734	62	33	a	a	DET
cana-734	62	34	mutation	mutation	NOUN
cana-734	62	35	operator	operator	NOUN
cana-734	62	36	.	.	PUNCT
cana-734	63	1	the	the	DET
cana-734	63	2	research	research	NOUN
cana-734	63	3	clearly	clearly	ADV
cana-734	63	4	shows	show	VERB
cana-734	63	5	that	that	SCONJ
cana-734	63	6	both	both	DET
cana-734	63	7	algorithms	algorithm	NOUN
cana-734	63	8	are	be	AUX
cana-734	63	9	efficient	efficient	ADJ
cana-734	63	10	and	and	CCONJ
cana-734	63	11	scalable	scalable	ADJ
cana-734	63	12	;	;	PUNCT
cana-734	63	13	moreover	moreover	ADV
cana-734	63	14	,	,	PUNCT
cana-734	63	15	they	they	PRON
cana-734	63	16	are	be	AUX
cana-734	63	17	able	able	ADJ
cana-734	63	18	to	to	PART
cana-734	63	19	mine	mine	VERB
cana-734	63	20	real	real	ADJ
cana-734	63	21	top	top	ADJ
cana-734	63	22	-	-	PUNCT
cana-734	63	23	k	k	NOUN
cana-734	63	24	high	high	ADJ
cana-734	63	25	-	-	PUNCT
cana-734	63	26	utility	utility	NOUN
cana-734	63	27	itemsets	itemset	NOUN
cana-734	63	28	without	without	ADP
cana-734	63	29	setting	set	VERB
cana-734	63	30	utility	utility	NOUN
cana-734	63	31	thresholds	threshold	NOUN
cana-734	63	32	.	.	PUNCT
cana-734	64	1	the	the	DET
cana-734	64	2	researchers	researcher	NOUN
cana-734	64	3	also	also	ADV
cana-734	64	4	developed	develop	VERB
cana-734	64	5	diverse	diverse	ADJ
cana-734	64	6	optimisation	optimisation	NOUN
cana-734	64	7	algorithms	algorithm	NOUN
cana-734	64	8	[	[	X
cana-734	64	9	21	21	NUM
cana-734	64	10	and	and	CCONJ
cana-734	64	11	22	22	NUM
cana-734	64	12	]	]	PUNCT
cana-734	64	13	.	.	PUNCT
cana-734	65	1	to	to	PART
cana-734	65	2	reduce	reduce	VERB
cana-734	65	3	the	the	DET
cana-734	65	4	high	high	ADJ
cana-734	65	5	computational	computational	ADJ
cana-734	65	6	complexity	complexity	NOUN
cana-734	65	7	that	that	PRON
cana-734	65	8	is	be	AUX
cana-734	65	9	needed	need	VERB
cana-734	65	10	during	during	ADP
cana-734	65	11	huim	huim	NOUN
cana-734	65	12	,	,	PUNCT
cana-734	65	13	the	the	DET
cana-734	65	14	authors	author	NOUN
cana-734	65	15	propose	propose	VERB
cana-734	65	16	a	a	DET
cana-734	65	17	pruned	prune	VERB
cana-734	65	18	matrix	matrix	NOUN
cana-734	65	19	aided	aid	VERB
cana-734	65	20	utility	utility	NOUN
cana-734	65	21	tree	tree	NOUN
cana-734	65	22	(	(	PUNCT
cana-734	65	23	pmaut	pmaut	NOUN
cana-734	65	24	)	)	PUNCT
cana-734	66	1	[	[	X
cana-734	66	2	23	23	NUM
cana-734	66	3	]	]	PUNCT
cana-734	66	4	in	in	ADP
cana-734	66	5	this	this	DET
cana-734	66	6	research	research	NOUN
cana-734	66	7	.	.	PUNCT
cana-734	67	1	pmaut	pmaut	NOUN
cana-734	67	2	,	,	PUNCT
cana-734	67	3	with	with	ADP
cana-734	67	4	the	the	DET
cana-734	67	5	matrix	matrix	NOUN
cana-734	67	6	technique	technique	NOUN
cana-734	67	7	that	that	PRON
cana-734	67	8	is	be	AUX
cana-734	67	9	pruned	prune	VERB
cana-734	67	10	primarily	primarily	ADV
cana-734	67	11	and	and	CCONJ
cana-734	67	12	the	the	DET
cana-734	67	13	fp	fp	PROPN
cana-734	67	14	tree	tree	NOUN
cana-734	67	15	is	be	AUX
cana-734	67	16	constructed	construct	VERB
cana-734	67	17	,	,	PUNCT
cana-734	67	18	can	can	AUX
cana-734	67	19	decrease	decrease	VERB
cana-734	67	20	the	the	DET
cana-734	67	21	complexity	complexity	NOUN
cana-734	67	22	of	of	ADP
cana-734	67	23	locating	locate	VERB
cana-734	67	24	huis	huis	PROPN
cana-734	67	25	.	.	PUNCT
cana-734	68	1	the	the	DET
cana-734	68	2	experimental	experimental	ADJ
cana-734	68	3	outcome	outcome	NOUN
cana-734	68	4	shows	show	VERB
cana-734	68	5	that	that	SCONJ
cana-734	68	6	the	the	DET
cana-734	68	7	performance	performance	NOUN
cana-734	68	8	(	(	PUNCT
cana-734	68	9	time	time	NOUN
cana-734	68	10	and	and	CCONJ
cana-734	68	11	memory	memory	NOUN
cana-734	68	12	usage	usage	NOUN
cana-734	68	13	)	)	PUNCT
cana-734	68	14	of	of	ADP
cana-734	68	15	the	the	DET
cana-734	68	16	pmaut	pmaut	PROPN
cana-734	68	17	algorithm	algorithm	NOUN
cana-734	68	18	is	be	AUX
cana-734	68	19	more	more	ADV
cana-734	68	20	effective	effective	ADJ
cana-734	68	21	than	than	ADP
cana-734	68	22	that	that	PRON
cana-734	68	23	of	of	ADP
cana-734	68	24	the	the	DET
cana-734	68	25	existing	exist	VERB
cana-734	68	26	techniques	technique	NOUN
cana-734	68	27	.	.	PUNCT
cana-734	69	1	these	these	DET
cana-734	69	2	studies	study	NOUN
cana-734	69	3	bring	bring	VERB
cana-734	69	4	out	out	ADP
cana-734	69	5	alternate	alternate	ADJ
cana-734	69	6	techniques	technique	NOUN
cana-734	69	7	and	and	CCONJ
cana-734	69	8	methodologies	methodology	NOUN
cana-734	69	9	of	of	ADP
cana-734	69	10	huim	huim	NOUN
cana-734	69	11	and	and	CCONJ
cana-734	69	12	handle	handle	VERB
cana-734	69	13	the	the	DET
cana-734	69	14	challenges	challenge	NOUN
cana-734	69	15	of	of	ADP
cana-734	69	16	computation	computation	NOUN
cana-734	69	17	complexity	complexity	NOUN
cana-734	69	18	,	,	PUNCT
cana-734	69	19	threshold	threshold	NOUN
cana-734	69	20	setting	setting	NOUN
cana-734	69	21	and	and	CCONJ
cana-734	69	22	scalability	scalability	NOUN
cana-734	69	23	,	,	PUNCT
cana-734	69	24	thus	thus	ADV
cana-734	69	25	enhancing	enhance	VERB
cana-734	69	26	the	the	DET
cana-734	69	27	knowledge	knowledge	NOUN
cana-734	69	28	domain	domain	NOUN
cana-734	69	29	of	of	ADP
cana-734	69	30	data	datum	NOUN
cana-734	69	31	mining	mining	NOUN
cana-734	69	32	and	and	CCONJ
cana-734	69	33	decision	decision	NOUN
cana-734	69	34	support	support	NOUN
cana-734	69	35	systems	system	NOUN
cana-734	69	36	.	.	PUNCT
cana-734	70	1	table	table	NOUN
cana-734	70	2	1	1	NUM
cana-734	70	3	presents	present	VERB
cana-734	70	4	various	various	ADJ
cana-734	70	5	methods	method	NOUN
cana-734	70	6	,	,	PUNCT
cana-734	70	7	key	key	ADJ
cana-734	70	8	factors	factor	NOUN
cana-734	70	9	,	,	PUNCT
cana-734	70	10	and	and	CCONJ
cana-734	70	11	research	research	NOUN
cana-734	70	12	issues	issue	NOUN
cana-734	70	13	discussed	discuss	VERB
cana-734	70	14	above	above	ADV
cana-734	70	15	.	.	PUNCT
cana-734	71	1	communications	communication	NOUN
cana-734	71	2	on	on	ADP
cana-734	71	3	applied	apply	VERB
cana-734	71	4	nonlinear	nonlinear	ADJ
cana-734	71	5	analysis	analysis	NOUN
cana-734	71	6	issn	issn	NOUN
cana-734	71	7	:	:	PUNCT
cana-734	71	8	1074	1074	NUM
cana-734	71	9	-	-	PUNCT
cana-734	71	10	133x	133x	NUM
cana-734	71	11	vol	vol	NOUN
cana-734	71	12	31	31	NUM
cana-734	71	13	no	no	NOUN
cana-734	71	14	.	.	PUNCT
cana-734	72	1	3s	3s	NUM
cana-734	72	2	(	(	PUNCT
cana-734	72	3	2024	2024	NUM
cana-734	72	4	)	)	PUNCT
cana-734	72	5	93	93	NUM
cana-734	72	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-734	72	7	table	table	NOUN
cana-734	72	8	1	1	NUM
cana-734	72	9	.	.	PUNCT
cana-734	72	10	comprehensive	comprehensive	ADJ
cana-734	72	11	analysis	analysis	NOUN
cana-734	72	12	of	of	ADP
cana-734	72	13	literature	literature	NOUN
cana-734	72	14	review	review	PROPN
cana-734	72	15	reference	reference	NOUN
cana-734	72	16	algorithm	algorithm	NOUN
cana-734	72	17	inference	inference	NOUN
cana-734	72	18	methodology	methodology	NOUN
cana-734	72	19	advantage	advantage	NOUN
cana-734	72	20	research	research	NOUN
cana-734	72	21	gap	gap	NOUN
cana-734	72	22	[	[	X
cana-734	72	23	17	17	NUM
cana-734	72	24	]	]	X
cana-734	72	25	achuiim	achuiim	NOUN
cana-734	72	26	mimics	mimic	VERB
cana-734	72	27	the	the	DET
cana-734	72	28	behaviour	behaviour	NOUN
cana-734	72	29	of	of	ADP
cana-734	72	30	ants	ant	NOUN
cana-734	72	31	to	to	PART
cana-734	72	32	find	find	VERB
cana-734	72	33	infrequent	infrequent	ADJ
cana-734	72	34	itemsets	itemset	NOUN
cana-734	72	35	with	with	ADP
cana-734	72	36	high	high	ADJ
cana-734	72	37	utility	utility	NOUN
cana-734	72	38	ant	ant	ADJ
cana-734	72	39	colony	colony	NOUN
cana-734	72	40	optimization	optimization	NOUN
cana-734	72	41	efficiently	efficiently	ADV
cana-734	72	42	mines	mine	NOUN
cana-734	72	43	high	high	ADJ
cana-734	72	44	utility	utility	NOUN
cana-734	72	45	infrequent	infrequent	ADJ
cana-734	72	46	itemsets	itemset	NOUN
cana-734	72	47	by	by	ADP
cana-734	72	48	guiding	guide	VERB
cana-734	72	49	the	the	DET
cana-734	72	50	search	search	NOUN
cana-734	72	51	using	use	VERB
cana-734	72	52	pheromone	pheromone	NOUN
cana-734	72	53	traces	trace	NOUN
cana-734	72	54	.	.	PUNCT
cana-734	73	1	potential	potential	ADJ
cana-734	73	2	scalability	scalability	NOUN
cana-734	73	3	issues	issue	NOUN
cana-734	73	4	with	with	ADP
cana-734	73	5	large	large	ADJ
cana-734	73	6	datasets	dataset	NOUN
cana-734	73	7	[	[	X
cana-734	73	8	18	18	NUM
cana-734	73	9	]	]	PUNCT
cana-734	73	10	bpso	bpso	NOUN
cana-734	73	11	dynamically	dynamically	ADV
cana-734	73	12	optimizes	optimize	VERB
cana-734	73	13	the	the	DET
cana-734	73	14	search	search	NOUN
cana-734	73	15	for	for	ADP
cana-734	73	16	high	high	ADJ
cana-734	73	17	utility	utility	NOUN
cana-734	73	18	itemsets	itemset	NOUN
cana-734	73	19	without	without	ADP
cana-734	73	20	predefined	predefine	VERB
cana-734	73	21	minimum	minimum	ADJ
cana-734	73	22	utility	utility	NOUN
cana-734	73	23	thresholds	threshold	NOUN
cana-734	73	24	.	.	PUNCT
cana-734	74	1	particle	particle	NOUN
cana-734	74	2	swarm	swarm	NOUN
cana-734	74	3	optimization	optimization	NOUN
cana-734	74	4	utilizes	utilize	VERB
cana-734	74	5	transactions	transaction	NOUN
cana-734	74	6	with	with	ADP
cana-734	74	7	the	the	DET
cana-734	74	8	highest	high	ADJ
cana-734	74	9	utility	utility	NOUN
cana-734	74	10	as	as	ADP
cana-734	74	11	initial	initial	ADJ
cana-734	74	12	populations	population	NOUN
cana-734	74	13	for	for	ADP
cana-734	74	14	particles	particle	NOUN
cana-734	74	15	,	,	PUNCT
cana-734	74	16	enhancing	enhance	VERB
cana-734	74	17	efficiency	efficiency	NOUN
cana-734	74	18	further	further	ADJ
cana-734	74	19	investigation	investigation	NOUN
cana-734	74	20	is	be	AUX
cana-734	74	21	needed	need	VERB
cana-734	74	22	into	into	ADP
cana-734	74	23	the	the	DET
cana-734	74	24	algorithm	algorithm	NOUN
cana-734	74	25	's	's	PART
cana-734	74	26	robustness	robustness	NOUN
cana-734	74	27	under	under	ADP
cana-734	74	28	various	various	ADJ
cana-734	74	29	dataset	dataset	NOUN
cana-734	74	30	characteristics	characteristic	NOUN
cana-734	74	31	.	.	PUNCT
cana-734	75	1	[	[	X
cana-734	75	2	19	19	NUM
cana-734	75	3	]	]	X
cana-734	75	4	huim	huim	NOUN
cana-734	75	5	-	-	PUNCT
cana-734	75	6	hc	hc	ADP
cana-734	75	7	and	and	CCONJ
cana-734	75	8	huimsa	huimsa	NOUN
cana-734	75	9	utilizes	utilize	NOUN
cana-734	75	10	hill	hill	NOUN
cana-734	75	11	climbing	climbing	NOUN
cana-734	75	12	and	and	CCONJ
cana-734	75	13	simulated	simulate	VERB
cana-734	75	14	annealing	annealing	NOUN
cana-734	75	15	techniques	technique	NOUN
cana-734	75	16	,	,	PUNCT
cana-734	75	17	respectively	respectively	ADV
cana-734	75	18	,	,	PUNCT
cana-734	75	19	for	for	ADP
cana-734	75	20	handling	handle	VERB
cana-734	75	21	exponential	exponential	ADJ
cana-734	75	22	search	search	NOUN
cana-734	75	23	space	space	NOUN
cana-734	75	24	heuristic	heuristic	ADJ
cana-734	75	25	algorithms	algorithm	NOUN
cana-734	75	26	faster	fast	ADJ
cana-734	75	27	performance	performance	NOUN
cana-734	75	28	compared	compare	VERB
cana-734	75	29	to	to	ADP
cana-734	75	30	existing	exist	VERB
cana-734	75	31	approaches	approach	NOUN
cana-734	75	32	evaluation	evaluation	NOUN
cana-734	75	33	of	of	ADP
cana-734	75	34	algorithm	algorithm	NOUN
cana-734	75	35	performance	performance	NOUN
cana-734	75	36	under	under	ADP
cana-734	75	37	different	different	ADJ
cana-734	75	38	parameter	parameter	NOUN
cana-734	75	39	settings	setting	NOUN
cana-734	75	40	[	[	X
cana-734	75	41	20	20	NUM
cana-734	75	42	]	]	SYM
cana-734	75	43	tku	tku	PROPN
cana-734	75	44	-	-	PUNCT
cana-734	75	45	ce	ce	NOUN
cana-734	75	46	and	and	CCONJ
cana-734	75	47	tkuce+	tkuce+	VERB
cana-734	75	48	uses	use	VERB
cana-734	75	49	cross	cross	ADJ
cana-734	75	50	-	-	ADJ
cana-734	75	51	entropy	entropy	ADJ
cana-734	75	52	method	method	NOUN
cana-734	75	53	for	for	ADP
cana-734	75	54	mining	mine	VERB
cana-734	75	55	top	top	ADJ
cana-734	75	56	-	-	PUNCT
cana-734	75	57	k	k	NOUN
cana-734	75	58	high	high	ADJ
cana-734	75	59	-	-	PUNCT
cana-734	75	60	utility	utility	NOUN
cana-734	75	61	itemsets	itemset	NOUN
cana-734	75	62	without	without	ADP
cana-734	75	63	utility	utility	NOUN
cana-734	75	64	thresholds	threshold	NOUN
cana-734	75	65	cross	cross	ADJ
cana-734	75	66	-	-	ADJ
cana-734	75	67	entropy	entropy	ADJ
cana-734	75	68	method	method	NOUN
cana-734	75	69	efficiently	efficiently	ADV
cana-734	75	70	discovers	discover	VERB
cana-734	75	71	actual	actual	ADJ
cana-734	75	72	top	top	ADJ
cana-734	75	73	-	-	PUNCT
cana-734	75	74	k	k	NOUN
cana-734	75	75	highutility	highutility	NOUN
cana-734	75	76	itemsets	itemset	NOUN
cana-734	75	77	without	without	ADP
cana-734	75	78	the	the	DET
cana-734	75	79	need	need	NOUN
cana-734	75	80	for	for	ADP
cana-734	75	81	utility	utility	NOUN
cana-734	75	82	thresholds	threshold	NOUN
cana-734	75	83	.	.	PUNCT
cana-734	76	1	assessment	assessment	NOUN
cana-734	76	2	of	of	ADP
cana-734	76	3	algorithm	algorithm	NOUN
cana-734	76	4	scalability	scalability	NOUN
cana-734	76	5	with	with	ADP
cana-734	76	6	enormous	enormous	ADJ
cana-734	76	7	datasets	dataset	NOUN
cana-734	76	8	[	[	X
cana-734	76	9	21	21	NUM
cana-734	76	10	]	]	X
cana-734	76	11	huim	huim	PROPN
cana-734	76	12	-	-	PUNCT
cana-734	76	13	ga	ga	PROPN
cana-734	76	14	evaluates	evaluate	VERB
cana-734	76	15	the	the	DET
cana-734	76	16	impact	impact	NOUN
cana-734	76	17	of	of	ADP
cana-734	76	18	crossover	crossover	NOUN
cana-734	76	19	operators	operator	NOUN
cana-734	76	20	in	in	ADP
cana-734	76	21	gas	gas	NOUN
cana-734	76	22	for	for	ADP
cana-734	76	23	huim	huim	NOUN
cana-734	76	24	headless	headless	ADJ
cana-734	76	25	chicken	chicken	NOUN
cana-734	76	26	test	test	NOUN
cana-734	76	27	to	to	PART
cana-734	76	28	compare	compare	VERB
cana-734	76	29	gas	gas	NOUN
cana-734	76	30	with	with	ADP
cana-734	76	31	normal	normal	ADJ
cana-734	76	32	and	and	CCONJ
cana-734	76	33	randomized	randomize	VERB
cana-734	76	34	crossover	crossover	ADP
cana-734	76	35	operators	operator	NOUN
cana-734	76	36	discovers	discover	VERB
cana-734	76	37	most	most	ADJ
cana-734	76	38	huis	huis	NOUN
cana-734	76	39	faster	fast	ADV
cana-734	76	40	than	than	SCONJ
cana-734	76	41	exact	exact	ADJ
cana-734	76	42	algorithms	algorithm	NOUN
cana-734	76	43	performance	performance	NOUN
cana-734	76	44	varies	vary	VERB
cana-734	76	45	with	with	ADP
cana-734	76	46	the	the	DET
cana-734	76	47	presence	presence	NOUN
cana-734	76	48	of	of	ADP
cana-734	76	49	well	well	ADV
cana-734	76	50	-	-	PUNCT
cana-734	76	51	defined	define	VERB
cana-734	76	52	building	building	NOUN
cana-734	76	53	blocks	block	NOUN
cana-734	77	1	[	[	X
cana-734	77	2	22	22	NUM
cana-734	77	3	]	]	X
cana-734	77	4	huim	huim	NOUN
cana-734	77	5	-	-	PUNCT
cana-734	77	6	pso	pso	NOUN
cana-734	77	7	improved	improve	VERB
cana-734	77	8	huifpso	huifpso	NOUN
cana-734	77	9	with	with	ADP
cana-734	77	10	fp	fp	ADJ
cana-734	77	11	-	-	PUNCT
cana-734	77	12	tree	tree	NOUN
cana-734	77	13	structure	structure	NOUN
cana-734	77	14	outperforms	outperform	VERB
cana-734	77	15	existing	exist	VERB
cana-734	77	16	algorithms	algorithm	NOUN
cana-734	77	17	utilizes	utilize	VERB
cana-734	77	18	frequent	frequent	ADJ
cana-734	77	19	pattern	pattern	NOUN
cana-734	77	20	tree	tree	NOUN
cana-734	77	21	structure	structure	NOUN
cana-734	77	22	to	to	PART
cana-734	77	23	enhance	enhance	VERB
cana-734	77	24	huifpso	huifpso	VERB
cana-734	77	25	better	well	ADJ
cana-734	77	26	performance	performance	NOUN
cana-734	77	27	in	in	ADP
cana-734	77	28	hui	hui	PROPN
cana-734	77	29	count	count	NOUN
cana-734	77	30	,	,	PUNCT
cana-734	77	31	memory	memory	NOUN
cana-734	77	32	,	,	PUNCT
cana-734	77	33	and	and	CCONJ
cana-734	77	34	time	time	NOUN
cana-734	77	35	usage	usage	NOUN
cana-734	77	36	requires	require	VERB
cana-734	77	37	evaluation	evaluation	NOUN
cana-734	77	38	in	in	ADP
cana-734	77	39	different	different	ADJ
cana-734	77	40	real	real	ADJ
cana-734	77	41	-	-	PUNCT
cana-734	77	42	world	world	NOUN
cana-734	77	43	scenarios	scenario	NOUN
cana-734	77	44	[	[	X
cana-734	77	45	23	23	NUM
cana-734	77	46	]	]	PUNCT
cana-734	77	47	pmaut	pmaut	NOUN
cana-734	77	48	minimizes	minimize	VERB
cana-734	77	49	complexity	complexity	NOUN
cana-734	77	50	by	by	ADP
cana-734	77	51	employing	employ	VERB
cana-734	77	52	pruning	prune	VERB
cana-734	77	53	techniques	technique	NOUN
cana-734	77	54	and	and	CCONJ
cana-734	77	55	constructing	construct	VERB
cana-734	77	56	an	an	DET
cana-734	77	57	fp	fp	ADJ
cana-734	77	58	tree	tree	NOUN
cana-734	77	59	pruning	pruning	NOUN
cana-734	77	60	technique	technique	NOUN
cana-734	77	61	with	with	ADP
cana-734	77	62	fp	fp	PROPN
cana-734	77	63	tree	tree	NOUN
cana-734	77	64	construction	construction	NOUN
cana-734	77	65	outperforms	outperform	VERB
cana-734	77	66	existing	exist	VERB
cana-734	77	67	techniques	technique	NOUN
cana-734	77	68	in	in	ADP
cana-734	77	69	terms	term	NOUN
cana-734	77	70	of	of	ADP
cana-734	77	71	time	time	NOUN
cana-734	77	72	consumption	consumption	NOUN
cana-734	77	73	and	and	CCONJ
cana-734	77	74	memory	memory	NOUN
cana-734	77	75	usage	usage	NOUN
cana-734	77	76	investigation	investigation	NOUN
cana-734	77	77	into	into	ADP
cana-734	77	78	potential	potential	ADJ
cana-734	77	79	trade	trade	NOUN
cana-734	77	80	-	-	PUNCT
cana-734	77	81	offs	off	NOUN
cana-734	77	82	between	between	ADP
cana-734	77	83	efficiency	efficiency	NOUN
cana-734	77	84	and	and	CCONJ
cana-734	77	85	accuracy	accuracy	NOUN
cana-734	77	86	the	the	DET
cana-734	77	87	research	research	NOUN
cana-734	77	88	gap	gap	NOUN
cana-734	77	89	in	in	ADP
cana-734	77	90	mining	mining	NOUN
cana-734	77	91	huim	huim	NOUN
cana-734	77	92	is	be	AUX
cana-734	77	93	the	the	DET
cana-734	77	94	need	need	NOUN
cana-734	77	95	for	for	ADP
cana-734	77	96	more	more	ADV
cana-734	77	97	robust	robust	ADJ
cana-734	77	98	and	and	CCONJ
cana-734	77	99	scalable	scalable	ADJ
cana-734	77	100	algorithms	algorithm	NOUN
cana-734	77	101	that	that	PRON
cana-734	77	102	can	can	AUX
cana-734	77	103	handle	handle	VERB
cana-734	77	104	the	the	DET
cana-734	77	105	computational	computational	ADJ
cana-734	77	106	complexity	complexity	NOUN
cana-734	77	107	during	during	ADP
cana-734	77	108	the	the	DET
cana-734	77	109	process	process	NOUN
cana-734	77	110	of	of	ADP
cana-734	77	111	discovering	discover	VERB
cana-734	77	112	huis	huis	PROPN
cana-734	77	113	in	in	ADP
cana-734	77	114	extensive	extensive	ADJ
cana-734	77	115	transactional	transactional	ADJ
cana-734	77	116	databases	database	NOUN
cana-734	77	117	.	.	PUNCT
cana-734	78	1	the	the	DET
cana-734	78	2	traditional	traditional	ADJ
cana-734	78	3	approaches	approach	NOUN
cana-734	78	4	often	often	ADV
cana-734	78	5	encounter	encounter	VERB
cana-734	78	6	the	the	DET
cana-734	78	7	challenge	challenge	NOUN
cana-734	78	8	of	of	ADP
cana-734	78	9	scalability	scalability	NOUN
cana-734	78	10	,	,	PUNCT
cana-734	78	11	more	more	ADJ
cana-734	78	12	time	time	NOUN
cana-734	78	13	for	for	SCONJ
cana-734	78	14	communications	communication	NOUN
cana-734	78	15	on	on	ADP
cana-734	78	16	applied	apply	VERB
cana-734	78	17	nonlinear	nonlinear	ADJ
cana-734	78	18	analysis	analysis	NOUN
cana-734	78	19	issn	issn	NOUN
cana-734	78	20	:	:	PUNCT
cana-734	78	21	1074	1074	NUM
cana-734	78	22	-	-	PUNCT
cana-734	78	23	133x	133x	NUM
cana-734	78	24	vol	vol	NOUN
cana-734	78	25	31	31	NUM
cana-734	78	26	no	no	NOUN
cana-734	78	27	.	.	PUNCT
cana-734	79	1	3s	3s	NUM
cana-734	79	2	(	(	PUNCT
cana-734	79	3	2024	2024	NUM
cana-734	79	4	)	)	PUNCT
cana-734	79	5	94	94	NUM
cana-734	79	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-734	79	7	execution	execution	NOUN
cana-734	79	8	,	,	PUNCT
cana-734	79	9	and	and	CCONJ
cana-734	79	10	sometimes	sometimes	ADV
cana-734	79	11	interference	interference	NOUN
cana-734	79	12	,	,	PUNCT
cana-734	79	13	such	such	ADJ
cana-734	79	14	as	as	ADP
cana-734	79	15	parameter	parameter	NOUN
cana-734	79	16	optimization	optimization	NOUN
cana-734	79	17	,	,	PUNCT
cana-734	79	18	which	which	PRON
cana-734	79	19	limits	limit	VERB
cana-734	79	20	their	their	PRON
cana-734	79	21	applicability	applicability	NOUN
cana-734	79	22	for	for	ADP
cana-734	79	23	real	real	ADJ
cana-734	79	24	-	-	PUNCT
cana-734	79	25	time	time	NOUN
cana-734	79	26	scenarios	scenario	NOUN
cana-734	79	27	.	.	PUNCT
cana-734	80	1	the	the	DET
cana-734	80	2	optimized	optimize	VERB
cana-734	80	3	bfa	bfa	PROPN
cana-734	80	4	,	,	PUNCT
cana-734	80	5	along	along	ADP
cana-734	80	6	with	with	ADP
cana-734	80	7	other	other	ADJ
cana-734	80	8	meta	meta	ADJ
cana-734	80	9	-	-	PUNCT
cana-734	80	10	heuristic	heuristic	ADJ
cana-734	80	11	techniques	technique	NOUN
cana-734	80	12	like	like	ADP
cana-734	80	13	ga	ga	PROPN
cana-734	80	14	and	and	CCONJ
cana-734	80	15	ce	ce	PROPN
cana-734	80	16	,	,	PUNCT
cana-734	80	17	use	use	VERB
cana-734	80	18	mathematical	mathematical	ADJ
cana-734	80	19	single	single	ADJ
cana-734	80	20	information	information	NOUN
cana-734	80	21	for	for	ADP
cana-734	80	22	the	the	DET
cana-734	80	23	solution	solution	NOUN
cana-734	80	24	.	.	PUNCT
cana-734	81	1	still	still	ADV
cana-734	81	2	,	,	PUNCT
cana-734	81	3	the	the	DET
cana-734	81	4	proposed	propose	VERB
cana-734	81	5	hceg	hceg	PROPN
cana-734	81	6	-	-	PUNCT
cana-734	81	7	bfa	bfa	PROPN
cana-734	81	8	-	-	PUNCT
cana-734	81	9	based	base	VERB
cana-734	81	10	techniques	technique	NOUN
cana-734	81	11	are	be	AUX
cana-734	81	12	a	a	DET
cana-734	81	13	combination	combination	NOUN
cana-734	81	14	of	of	ADP
cana-734	81	15	robust	robust	ADJ
cana-734	81	16	cross	cross	NOUN
cana-734	81	17	entropy	entropy	NOUN
cana-734	81	18	(	(	PUNCT
cana-734	81	19	ce	ce	PROPN
cana-734	81	20	)	)	PUNCT
cana-734	81	21	method	method	NOUN
cana-734	81	22	,	,	PUNCT
cana-734	81	23	genetic	genetic	ADJ
cana-734	81	24	algorithm	algorithm	NOUN
cana-734	81	25	(	(	PUNCT
cana-734	81	26	ga	ga	NOUN
cana-734	81	27	)	)	PUNCT
cana-734	81	28	,	,	PUNCT
cana-734	81	29	and	and	CCONJ
cana-734	81	30	bacterial	bacterial	ADJ
cana-734	81	31	foraging	forage	VERB
cana-734	81	32	algorithm	algorithm	NOUN
cana-734	81	33	(	(	PUNCT
cana-734	81	34	bfa	bfa	PROPN
cana-734	81	35	)	)	PUNCT
cana-734	81	36	.	.	PUNCT
cana-734	82	1	the	the	DET
cana-734	82	2	hybrid	hybrid	ADJ
cana-734	82	3	approach	approach	NOUN
cana-734	82	4	improves	improve	VERB
cana-734	82	5	the	the	DET
cana-734	82	6	exploration	exploration	NOUN
cana-734	82	7	but	but	CCONJ
cana-734	82	8	refines	refine	VERB
cana-734	82	9	solutions	solution	NOUN
cana-734	82	10	iteratively	iteratively	ADV
cana-734	82	11	to	to	PART
cana-734	82	12	overcome	overcome	VERB
cana-734	82	13	local	local	ADJ
cana-734	82	14	optima	optima	NOUN
cana-734	82	15	,	,	PUNCT
cana-734	82	16	resulting	result	VERB
cana-734	82	17	in	in	ADP
cana-734	82	18	a	a	DET
cana-734	82	19	practical	practical	ADJ
cana-734	82	20	,	,	PUNCT
cana-734	82	21	scalable	scalable	ADJ
cana-734	82	22	,	,	PUNCT
cana-734	82	23	and	and	CCONJ
cana-734	82	24	resistant	resistant	ADJ
cana-734	82	25	algorithm	algorithm	NOUN
cana-734	82	26	to	to	PART
cana-734	82	27	find	find	VERB
cana-734	82	28	high	high	ADJ
cana-734	82	29	utility	utility	NOUN
cana-734	82	30	itemsets	itemset	NOUN
cana-734	82	31	in	in	ADP
cana-734	82	32	large	large	ADJ
cana-734	82	33	databases	database	NOUN
cana-734	82	34	.	.	PUNCT
cana-734	83	1	3	3	X
cana-734	83	2	.	.	NUM
cana-734	83	3	hybridized	hybridize	VERB
cana-734	83	4	cross	cross	PROPN
cana-734	83	5	entropy	entropy	PROPN
cana-734	83	6	assisted	assist	VERB
cana-734	83	7	genetic	genetic	ADJ
cana-734	83	8	algorithm	algorithm	NOUN
cana-734	83	9	with	with	ADP
cana-734	83	10	bacterial	bacterial	ADJ
cana-734	83	11	foraging	forage	VERB
cana-734	83	12	algorithm	algorithm	NOUN
cana-734	83	13	(	(	PUNCT
cana-734	83	14	hceg	hceg	PROPN
cana-734	83	15	-	-	PUNCT
cana-734	83	16	bfa	bfa	PROPN
cana-734	83	17	)	)	PUNCT
cana-734	83	18	during	during	ADP
cana-734	83	19	the	the	DET
cana-734	83	20	process	process	NOUN
cana-734	83	21	of	of	ADP
cana-734	83	22	optimization	optimization	NOUN
cana-734	83	23	,	,	PUNCT
cana-734	83	24	the	the	DET
cana-734	83	25	values	value	NOUN
cana-734	83	26	of	of	ADP
cana-734	83	27	the	the	DET
cana-734	83	28	genetic	genetic	ADJ
cana-734	83	29	algorithm	algorithm	NOUN
cana-734	83	30	(	(	PUNCT
cana-734	83	31	ga	ga	NOUN
cana-734	83	32	)	)	PUNCT
cana-734	83	33	and	and	CCONJ
cana-734	83	34	bacterial	bacterial	ADJ
cana-734	83	35	foraging	forage	VERB
cana-734	83	36	algorithm	algorithm	NOUN
cana-734	83	37	(	(	PUNCT
cana-734	83	38	bfa	bfa	PROPN
cana-734	83	39	)	)	PUNCT
cana-734	83	40	are	be	AUX
cana-734	83	41	initialized	initialize	VERB
cana-734	83	42	.	.	PUNCT
cana-734	84	1	in	in	ADP
cana-734	84	2	contrast	contrast	NOUN
cana-734	84	3	,	,	PUNCT
cana-734	84	4	the	the	DET
cana-734	84	5	bacterial	bacterial	ADJ
cana-734	84	6	positions	position	NOUN
cana-734	84	7	are	be	AUX
cana-734	84	8	generated	generate	VERB
cana-734	84	9	and	and	CCONJ
cana-734	84	10	act	act	VERB
cana-734	84	11	as	as	ADP
cana-734	84	12	a	a	DET
cana-734	84	13	solution	solution	NOUN
cana-734	84	14	space	space	NOUN
cana-734	84	15	across	across	ADP
cana-734	84	16	the	the	DET
cana-734	84	17	search	search	NOUN
cana-734	84	18	space	space	NOUN
cana-734	84	19	.	.	PUNCT
cana-734	85	1	the	the	DET
cana-734	85	2	positions	position	NOUN
cana-734	85	3	are	be	AUX
cana-734	85	4	created	create	VERB
cana-734	85	5	and	and	CCONJ
cana-734	85	6	updated	update	VERB
cana-734	85	7	in	in	ADP
cana-734	85	8	accordance	accordance	NOUN
cana-734	85	9	with	with	ADP
cana-734	85	10	the	the	DET
cana-734	85	11	principles	principle	NOUN
cana-734	85	12	of	of	ADP
cana-734	85	13	bfa	bfa	PROPN
cana-734	85	14	.	.	PROPN
cana-734	86	1	pi	pi	PROPN
cana-734	86	2	indicates	indicate	VERB
cana-734	86	3	every	every	DET
cana-734	86	4	position	position	NOUN
cana-734	86	5	of	of	ADP
cana-734	86	6	the	the	DET
cana-734	86	7	bacteria	bacteria	NOUN
cana-734	86	8	,	,	PUNCT
cana-734	86	9	and	and	CCONJ
cana-734	86	10	it	it	PRON
cana-734	86	11	acts	act	VERB
cana-734	86	12	as	as	ADP
cana-734	86	13	a	a	DET
cana-734	86	14	distinct	distinct	ADJ
cana-734	86	15	candidate	candidate	NOUN
cana-734	86	16	solution	solution	NOUN
cana-734	86	17	.	.	PUNCT
cana-734	87	1	p=	p=	PROPN
cana-734	87	2	indicates	indicate	VERB
cana-734	87	3	the	the	DET
cana-734	87	4	position	position	NOUN
cana-734	87	5	of	of	ADP
cana-734	87	6	bacteria.{𝑃1	bacteria.{𝑃1	PROPN
cana-734	87	7	,	,	PUNCT
cana-734	87	8	𝑃2	𝑃2	NOUN
cana-734	87	9	,	,	PUNCT
cana-734	87	10	,	,	PUNCT
cana-734	87	11	…	…	PUNCT
cana-734	87	12	…	…	PUNCT
cana-734	87	13	,	,	PUNCT
cana-734	87	14	𝑃𝑁	𝑃𝑁	PROPN
cana-734	87	15	}	}	PUNCT
cana-734	87	16	and	and	CCONJ
cana-734	87	17	the	the	DET
cana-734	87	18	population	population	NOUN
cana-734	87	19	size	size	NOUN
cana-734	87	20	of	of	ADP
cana-734	87	21	the	the	DET
cana-734	87	22	bacteria	bacteria	NOUN
cana-734	87	23	is	be	AUX
cana-734	87	24	given	give	VERB
cana-734	87	25	as	as	ADP
cana-734	87	26	n	n	NUM
cana-734	87	27	,	,	PUNCT
cana-734	87	28	which	which	PRON
cana-734	87	29	is	be	AUX
cana-734	87	30	the	the	DET
cana-734	87	31	count	count	NOUN
cana-734	87	32	of	of	ADP
cana-734	87	33	the	the	DET
cana-734	87	34	position	position	NOUN
cana-734	87	35	of	of	ADP
cana-734	87	36	bacteria	bacteria	NOUN
cana-734	87	37	.	.	PUNCT
cana-734	88	1	in	in	ADP
cana-734	88	2	genetic	genetic	ADJ
cana-734	88	3	algorithm	algorithm	NOUN
cana-734	88	4	(	(	PUNCT
cana-734	88	5	ga	ga	NOUN
cana-734	88	6	)	)	PUNCT
cana-734	88	7	,	,	PUNCT
cana-734	88	8	populations	population	NOUN
cana-734	88	9	are	be	AUX
cana-734	88	10	initialized	initialize	VERB
cana-734	88	11	as	as	ADP
cana-734	88	12	gj	gj	NOUN
cana-734	88	13	,	,	PUNCT
cana-734	88	14	where	where	SCONJ
cana-734	88	15	the	the	DET
cana-734	88	16	whole	whole	ADJ
cana-734	88	17	population	population	NOUN
cana-734	88	18	is	be	AUX
cana-734	88	19	indicated	indicate	VERB
cana-734	88	20	using	use	VERB
cana-734	88	21	𝐺	𝐺	PROPN
cana-734	88	22	=	=	PUNCT
cana-734	88	23	{	{	PUNCT
cana-734	88	24	𝐺1	𝐺1	NOUN
cana-734	88	25	,	,	PUNCT
cana-734	88	26	𝐺2	𝐺2	ADJ
cana-734	88	27	,	,	PUNCT
cana-734	88	28	…	…	PUNCT
cana-734	88	29	…	…	PUNCT
cana-734	88	30	…	…	PUNCT
cana-734	88	31	,	,	PUNCT
cana-734	88	32	𝐺𝑁	𝐺𝑁	PROPN
cana-734	88	33	}	}	PUNCT
cana-734	88	34	.	.	PUNCT
cana-734	89	1	the	the	DET
cana-734	89	2	process	process	NOUN
cana-734	89	3	of	of	ADP
cana-734	89	4	optimization	optimization	NOUN
cana-734	89	5	is	be	AUX
cana-734	89	6	initiated	initiate	VERB
cana-734	89	7	with	with	ADP
cana-734	89	8	the	the	DET
cana-734	89	9	initialization	initialization	NOUN
cana-734	89	10	process	process	NOUN
cana-734	89	11	.	.	PUNCT
cana-734	90	1	iterative	iterative	ADJ
cana-734	90	2	evolution	evolution	NOUN
cana-734	90	3	and	and	CCONJ
cana-734	90	4	enhancement	enhancement	NOUN
cana-734	90	5	are	be	AUX
cana-734	90	6	accomplished	accomplish	VERB
cana-734	90	7	using	use	VERB
cana-734	90	8	a	a	DET
cana-734	90	9	hybridized	hybridize	VERB
cana-734	90	10	cross	cross	NOUN
cana-734	90	11	entropy	entropy	PROPN
cana-734	90	12	assisted	assist	VERB
cana-734	90	13	genetic	genetic	ADJ
cana-734	90	14	algorithm	algorithm	NOUN
cana-734	90	15	with	with	ADP
cana-734	90	16	bacterial	bacterial	ADJ
cana-734	90	17	foraging	forage	VERB
cana-734	90	18	algorithm	algorithm	NOUN
cana-734	90	19	(	(	PUNCT
cana-734	90	20	hceg	hceg	PROPN
cana-734	90	21	-	-	PUNCT
cana-734	90	22	bfa	bfa	PROPN
cana-734	90	23	)	)	PUNCT
cana-734	90	24	.	.	PUNCT
cana-734	91	1	the	the	DET
cana-734	91	2	proposed	propose	VERB
cana-734	91	3	methodology	methodology	NOUN
cana-734	91	4	,	,	PUNCT
cana-734	91	5	hceg	hceg	PROPN
cana-734	91	6	-	-	PUNCT
cana-734	91	7	bfa	bfa	PROPN
cana-734	91	8	,	,	PUNCT
cana-734	91	9	is	be	AUX
cana-734	91	10	given	give	VERB
cana-734	91	11	in	in	ADP
cana-734	91	12	figure	figure	NOUN
cana-734	91	13	1	1	NUM
cana-734	91	14	.	.	SYM
cana-734	91	15	3.1	3.1	NUM
cana-734	91	16	.	.	PUNCT
cana-734	91	17	initialization	initialization	NOUN
cana-734	91	18	the	the	DET
cana-734	91	19	bacterial	bacterial	ADJ
cana-734	91	20	positions	position	NOUN
cana-734	91	21	are	be	AUX
cana-734	91	22	indicated	indicate	VERB
cana-734	91	23	by	by	ADP
cana-734	91	24	𝑆𝑖	𝑆𝑖	PROPN
cana-734	91	25	=	=	PUNCT
cana-734	91	26	(	(	PUNCT
cana-734	91	27	𝑠𝑖1	𝑠𝑖1	PROPN
cana-734	91	28	,	,	PUNCT
cana-734	91	29	𝑠𝑖2	𝑠𝑖2	NOUN
cana-734	91	30	,	,	PUNCT
cana-734	91	31	…	…	PUNCT
cana-734	91	32	…	…	PUNCT
cana-734	91	33	,	,	PUNCT
cana-734	91	34	𝑠𝑖𝑀	𝑠𝑖𝑀	PROPN
cana-734	91	35	)	)	PUNCT
cana-734	91	36	where	where	SCONJ
cana-734	91	37	m	m	PROPN
cana-734	91	38	gives	give	VERB
cana-734	91	39	the	the	DET
cana-734	91	40	total	total	ADJ
cana-734	91	41	count	count	NOUN
cana-734	91	42	of	of	ADP
cana-734	91	43	the	the	DET
cana-734	91	44	item	item	NOUN
cana-734	91	45	.	.	PUNCT
cana-734	92	1	the	the	DET
cana-734	92	2	occurrence	occurrence	NOUN
cana-734	92	3	of	of	ADP
cana-734	92	4	an	an	DET
cana-734	92	5	item	item	NOUN
cana-734	92	6	in	in	ADP
cana-734	92	7	the	the	DET
cana-734	92	8	position	position	NOUN
cana-734	92	9	of	of	ADP
cana-734	92	10	bacteria	bacteria	NOUN
cana-734	92	11	is	be	AUX
cana-734	92	12	pi	pi	NOUN
cana-734	92	13	,	,	PUNCT
cana-734	92	14	which	which	PRON
cana-734	92	15	is	be	AUX
cana-734	92	16	shown	show	VERB
cana-734	92	17	as	as	ADP
cana-734	92	18	sij=1	sij=1	ADJ
cana-734	92	19	,	,	PUNCT
cana-734	92	20	and	and	CCONJ
cana-734	92	21	the	the	DET
cana-734	92	22	absence	absence	NOUN
cana-734	92	23	is	be	AUX
cana-734	92	24	indicated	indicate	VERB
cana-734	92	25	by	by	ADP
cana-734	92	26	sij=0	sij=0	PROPN
cana-734	92	27	.	.	PUNCT
cana-734	93	1	the	the	DET
cana-734	93	2	binary	binary	PROPN
cana-734	93	3	string	string	NOUN
cana-734	93	4	s1	s1	PROPN
cana-734	93	5	,	,	PUNCT
cana-734	93	6	s2,	s2,	NOUN
cana-734	93	7	…	…	SYM
cana-734	93	8	..	..	PUNCT
cana-734	93	9	s12	s12	PROPN
cana-734	93	10	is	be	AUX
cana-734	93	11	given	give	VERB
cana-734	93	12	in	in	ADP
cana-734	93	13	table	table	NOUN
cana-734	93	14	3	3	NUM
cana-734	93	15	.	.	PUNCT
cana-734	93	16	table	table	NOUN
cana-734	93	17	3	3	NUM
cana-734	93	18	.	.	PUNCT
cana-734	93	19	binary	binary	ADJ
cana-734	93	20	representation	representation	NOUN
cana-734	93	21	of	of	ADP
cana-734	93	22	bacteria	bacteria	NOUN
cana-734	93	23	at	at	ADP
cana-734	93	24	different	different	ADJ
cana-734	93	25	positions	position	NOUN
cana-734	93	26	s1	s1	PROPN
cana-734	93	27	s2	s2	PROPN
cana-734	93	28	s3	s3	PROPN
cana-734	93	29	s4	s4	PROPN
cana-734	93	30	s5	s5	PROPN
cana-734	93	31	s6	s6	PROPN
cana-734	93	32	s7	s7	PROPN
cana-734	93	33	s8	s8	PROPN
cana-734	93	34	s9	s9	PROPN
cana-734	93	35	p1	p1	PROPN
cana-734	93	36	1	1	NUM
cana-734	93	37	1	1	NUM
cana-734	93	38	0	0	NUM
cana-734	93	39	1	1	NUM
cana-734	93	40	0	0	NUM
cana-734	93	41	1	1	NUM
cana-734	93	42	1	1	NUM
cana-734	93	43	0	0	NUM
cana-734	93	44	0	0	NUM
cana-734	93	45	p2	p2	X
cana-734	93	46	0	0	NUM
cana-734	93	47	0	0	NUM
cana-734	93	48	0	0	NUM
cana-734	93	49	1	1	NUM
cana-734	93	50	0	0	NUM
cana-734	93	51	0	0	NUM
cana-734	93	52	0	0	NUM
cana-734	93	53	1	1	NUM
cana-734	93	54	0	0	NUM
cana-734	93	55	p3	p3	NOUN
cana-734	93	56	1	1	NUM
cana-734	93	57	1	1	NUM
cana-734	93	58	0	0	NUM
cana-734	93	59	0	0	NUM
cana-734	93	60	0	0	NUM
cana-734	93	61	1	1	NUM
cana-734	93	62	1	1	NUM
cana-734	93	63	1	1	NUM
cana-734	93	64	0	0	NUM
cana-734	93	65	p4	p4	ADJ
cana-734	93	66	0	0	NUM
cana-734	94	1	1	1	NUM
cana-734	94	2	1	1	NUM
cana-734	94	3	1	1	NUM
cana-734	94	4	1	1	NUM
cana-734	94	5	1	1	NUM
cana-734	94	6	0	0	NUM
cana-734	94	7	0	0	NUM
cana-734	94	8	0	0	NUM
cana-734	95	1	p5	p5	ADJ
cana-734	95	2	0	0	NUM
cana-734	95	3	0	0	NUM
cana-734	95	4	0	0	NUM
cana-734	95	5	1	1	NUM
cana-734	95	6	0	0	NUM
cana-734	95	7	1	1	NUM
cana-734	95	8	0	0	NUM
cana-734	95	9	0	0	NUM
cana-734	95	10	0	0	NUM
cana-734	95	11	p6	p6	NOUN
cana-734	95	12	0	0	NUM
cana-734	95	13	1	1	NUM
cana-734	95	14	1	1	NUM
cana-734	95	15	0	0	NUM
cana-734	95	16	1	1	NUM
cana-734	95	17	1	1	NUM
cana-734	95	18	0	0	NUM
cana-734	95	19	0	0	NUM
cana-734	95	20	0	0	NUM
cana-734	95	21	p7	p7	ADJ
cana-734	95	22	1	1	NUM
cana-734	95	23	0	0	NUM
cana-734	95	24	0	0	NUM
cana-734	95	25	0	0	NUM
cana-734	95	26	0	0	NUM
cana-734	95	27	0	0	NUM
cana-734	95	28	1	1	NUM
cana-734	95	29	0	0	NUM
cana-734	95	30	0	0	NUM
cana-734	96	1	p8	p8	NOUN
cana-734	96	2	0	0	NUM
cana-734	96	3	0	0	NUM
cana-734	96	4	1	1	NUM
cana-734	96	5	0	0	NUM
cana-734	96	6	1	1	NUM
cana-734	96	7	0	0	NUM
cana-734	96	8	1	1	NUM
cana-734	96	9	0	0	NUM
cana-734	96	10	0	0	NUM
cana-734	96	11	p9	p9	NOUN
cana-734	96	12	1	1	NUM
cana-734	96	13	1	1	NUM
cana-734	96	14	1	1	NUM
cana-734	96	15	1	1	NUM
cana-734	96	16	1	1	NUM
cana-734	96	17	0	0	NUM
cana-734	96	18	1	1	NUM
cana-734	96	19	0	0	NUM
cana-734	96	20	0	0	NUM
cana-734	96	21	p10	p10	NOUN
cana-734	96	22	0	0	NUM
cana-734	96	23	1	1	NUM
cana-734	96	24	0	0	NUM
cana-734	96	25	1	1	NUM
cana-734	96	26	1	1	NUM
cana-734	96	27	0	0	NUM
cana-734	96	28	1	1	NUM
cana-734	96	29	0	0	NUM
cana-734	96	30	0	0	NUM
cana-734	96	31	p11	p11	NOUN
cana-734	96	32	0	0	NUM
cana-734	96	33	0	0	NUM
cana-734	96	34	0	0	NUM
cana-734	96	35	0	0	NUM
cana-734	96	36	0	0	NUM
cana-734	96	37	1	1	NUM
cana-734	96	38	1	1	NUM
cana-734	96	39	0	0	NUM
cana-734	96	40	0	0	NUM
cana-734	96	41	p12	p12	NOUN
cana-734	96	42	0	0	NUM
cana-734	96	43	1	1	NUM
cana-734	96	44	1	1	NUM
cana-734	96	45	0	0	NUM
cana-734	96	46	1	1	NUM
cana-734	96	47	0	0	NUM
cana-734	96	48	0	0	NUM
cana-734	96	49	0	0	NUM
cana-734	96	50	1	1	NUM
cana-734	96	51	3.2	3.2	NUM
cana-734	96	52	.	.	PUNCT
cana-734	97	1	fitness	fitness	NOUN
cana-734	97	2	evaluation	evaluation	NOUN
cana-734	97	3	the	the	DET
cana-734	97	4	bacterial	bacterial	ADJ
cana-734	97	5	position	position	NOUN
cana-734	97	6	pi	pi	NOUN
cana-734	97	7	of	of	ADP
cana-734	97	8	fitness	fitness	NOUN
cana-734	97	9	function	function	NOUN
cana-734	97	10	f(pi	f(pi	NOUN
cana-734	97	11	)	)	PUNCT
cana-734	97	12	is	be	AUX
cana-734	97	13	estimated	estimate	VERB
cana-734	97	14	as	as	ADP
cana-734	97	15	the	the	DET
cana-734	97	16	total	total	ADJ
cana-734	97	17	utilities	utility	NOUN
cana-734	97	18	of	of	ADP
cana-734	97	19	the	the	DET
cana-734	97	20	items	item	NOUN
cana-734	97	21	indicated	indicate	VERB
cana-734	97	22	by	by	ADP
cana-734	97	23	pi	pi	PROPN
cana-734	97	24	.	.	PUNCT
cana-734	98	1	let	let	VERB
cana-734	98	2	m	m	PRON
cana-734	98	3	be	be	AUX
cana-734	98	4	the	the	DET
cana-734	98	5	total	total	ADJ
cana-734	98	6	count	count	NOUN
cana-734	98	7	of	of	ADP
cana-734	98	8	items	item	NOUN
cana-734	98	9	and	and	CCONJ
cana-734	98	10	the	the	DET
cana-734	98	11	binary	binary	ADJ
cana-734	98	12	digits	digit	NOUN
cana-734	98	13	sij	sij	PROPN
cana-734	98	14	of	of	ADP
cana-734	98	15	the	the	DET
cana-734	98	16	item	item	NOUN
cana-734	98	17	in	in	ADP
cana-734	98	18	the	the	DET
cana-734	98	19	position	position	NOUN
cana-734	98	20	of	of	ADP
cana-734	98	21	bacterial	bacterial	ADJ
cana-734	98	22	position	position	NOUN
cana-734	98	23	pi	pi	NOUN
cana-734	98	24	.	.	PUNCT
cana-734	99	1	the	the	DET
cana-734	99	2	utility	utility	NOUN
cana-734	99	3	of	of	ADP
cana-734	99	4	every	every	DET
cana-734	99	5	item	item	NOUN
cana-734	99	6	is	be	AUX
cana-734	99	7	indicated	indicate	VERB
cana-734	99	8	by	by	ADP
cana-734	99	9	utility	utility	NOUN
cana-734	99	10	(	(	PUNCT
cana-734	99	11	j	j	PROPN
cana-734	99	12	)	)	PUNCT
cana-734	99	13	.	.	PUNCT
cana-734	100	1	the	the	DET
cana-734	100	2	fitness	fitness	NOUN
cana-734	100	3	value	value	NOUN
cana-734	100	4	is	be	AUX
cana-734	100	5	given	give	VERB
cana-734	100	6	in	in	ADP
cana-734	100	7	equation	equation	NOUN
cana-734	100	8	1	1	NUM
cana-734	100	9	.	.	PUNCT
cana-734	101	1	communications	communication	NOUN
cana-734	101	2	on	on	ADP
cana-734	101	3	applied	apply	VERB
cana-734	101	4	nonlinear	nonlinear	ADJ
cana-734	101	5	analysis	analysis	NOUN
cana-734	101	6	issn	issn	NOUN
cana-734	101	7	:	:	PUNCT
cana-734	101	8	1074	1074	NUM
cana-734	101	9	-	-	PUNCT
cana-734	101	10	133x	133x	NUM
cana-734	101	11	vol	vol	NOUN
cana-734	101	12	31	31	NUM
cana-734	101	13	no	no	NOUN
cana-734	101	14	.	.	PUNCT
cana-734	102	1	3s	3s	NUM
cana-734	102	2	(	(	PUNCT
cana-734	102	3	2024	2024	NUM
cana-734	102	4	)	)	PUNCT
cana-734	102	5	95	95	NUM
cana-734	102	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-734	102	7	𝐹(𝑝𝑖	𝐹(𝑝𝑖	NOUN
cana-734	102	8	)	)	PUNCT
cana-734	102	9	=	=	PUNCT
cana-734	102	10	∑	∑	PUNCT
cana-734	102	11	𝑠𝑖𝑗	𝑠𝑖𝑗	PROPN
cana-734	102	12	𝑀	𝑀	PROPN
cana-734	102	13	𝑗=1	𝑗=1	PROPN
cana-734	102	14	×	×	NOUN
cana-734	102	15	𝑈𝑡𝑖𝑙𝑖𝑡𝑦(𝑗	𝑈𝑡𝑖𝑙𝑖𝑡𝑦(𝑗	NOUN
cana-734	102	16	)	)	PUNCT
cana-734	102	17	---------(1	---------(1	CCONJ
cana-734	102	18	)	)	PUNCT
cana-734	102	19	the	the	DET
cana-734	102	20	above	above	ADJ
cana-734	102	21	formula	formula	NOUN
cana-734	102	22	estimates	estimate	VERB
cana-734	102	23	the	the	DET
cana-734	102	24	fitness	fitness	NOUN
cana-734	102	25	value	value	NOUN
cana-734	102	26	by	by	ADP
cana-734	102	27	adding	add	VERB
cana-734	102	28	the	the	DET
cana-734	102	29	product	product	NOUN
cana-734	102	30	of	of	ADP
cana-734	102	31	every	every	DET
cana-734	102	32	binary	binary	NOUN
cana-734	102	33	digit	digit	NOUN
cana-734	102	34	sij	sij	PROPN
cana-734	102	35	and	and	CCONJ
cana-734	102	36	the	the	DET
cana-734	102	37	relevant	relevant	ADJ
cana-734	102	38	jth	jth	PROPN
cana-734	102	39	items	item	NOUN
cana-734	102	40	utility	utility	NOUN
cana-734	102	41	value	value	NOUN
cana-734	102	42	.	.	PUNCT
cana-734	103	1	it	it	PRON
cana-734	103	2	is	be	AUX
cana-734	103	3	used	use	VERB
cana-734	103	4	to	to	PART
cana-734	103	5	evaluate	evaluate	VERB
cana-734	103	6	the	the	DET
cana-734	103	7	bacterial	bacterial	ADJ
cana-734	103	8	positions	position	NOUN
cana-734	103	9	that	that	PRON
cana-734	103	10	contribute	contribute	VERB
cana-734	103	11	to	to	ADP
cana-734	103	12	the	the	DET
cana-734	103	13	whole	whole	ADJ
cana-734	103	14	utility	utility	NOUN
cana-734	103	15	value	value	NOUN
cana-734	103	16	acquired	acquire	VERB
cana-734	103	17	from	from	ADP
cana-734	103	18	the	the	DET
cana-734	103	19	combination	combination	NOUN
cana-734	103	20	of	of	ADP
cana-734	103	21	items	item	NOUN
cana-734	103	22	in	in	ADP
cana-734	103	23	the	the	DET
cana-734	103	24	population	population	NOUN
cana-734	103	25	space	space	NOUN
cana-734	103	26	.	.	PUNCT
cana-734	104	1	the	the	DET
cana-734	104	2	higher	high	ADJ
cana-734	104	3	fitness	fitness	NOUN
cana-734	104	4	value	value	NOUN
cana-734	104	5	indicates	indicate	VERB
cana-734	104	6	an	an	DET
cana-734	104	7	efficient	efficient	ADJ
cana-734	104	8	solution	solution	NOUN
cana-734	104	9	with	with	ADP
cana-734	104	10	potentially	potentially	ADV
cana-734	104	11	effective	effective	ADJ
cana-734	104	12	huis	huis	NOUN
cana-734	104	13	.	.	PUNCT
cana-734	105	1	the	the	DET
cana-734	105	2	fitness	fitness	NOUN
cana-734	105	3	value	value	NOUN
cana-734	105	4	of	of	ADP
cana-734	105	5	bacterial	bacterial	ADJ
cana-734	105	6	positions	position	NOUN
cana-734	105	7	is	be	AUX
cana-734	105	8	given	give	VERB
cana-734	105	9	in	in	ADP
cana-734	105	10	table	table	NOUN
cana-734	105	11	4	4	NUM
cana-734	105	12	.	.	PUNCT
cana-734	105	13	table	table	NOUN
cana-734	105	14	4	4	NUM
cana-734	105	15	.	.	PUNCT
cana-734	105	16	fitness	fitness	NOUN
cana-734	105	17	value	value	NOUN
cana-734	105	18	of	of	ADP
cana-734	105	19	bacterial	bacterial	ADJ
cana-734	105	20	position	position	NOUN
cana-734	105	21	bacterial	bacterial	ADJ
cana-734	105	22	position	position	NOUN
cana-734	105	23	p1	p1	NOUN
cana-734	105	24	p2	p2	PROPN
cana-734	105	25	p3	p3	PROPN
cana-734	105	26	p4	p4	ADJ
cana-734	105	27	p5	p5	ADJ
cana-734	105	28	p6	p6	ADJ
cana-734	105	29	p7	p7	VERB
cana-734	105	30	p8	p8	ADJ
cana-734	105	31	p9	p9	PROPN
cana-734	105	32	p10	p10	NOUN
cana-734	105	33	p11	p11	NOUN
cana-734	105	34	p12	p12	NOUN
cana-734	105	35	𝑇𝑜𝑡𝑎𝑙𝑓𝑖𝑡𝑛𝑒𝑠𝑠	𝑇𝑜𝑡𝑎𝑙𝑓𝑖𝑡𝑛𝑒𝑠𝑠	PROPN
cana-734	105	36	fitness	fitness	NOUN
cana-734	105	37	value	value	NOUN
cana-734	105	38	18	18	NUM
cana-734	105	39	7	7	NUM
cana-734	105	40	13	13	NUM
cana-734	105	41	22	22	NUM
cana-734	105	42	13	13	NUM
cana-734	105	43	14	14	NUM
cana-734	105	44	5	5	NUM
cana-734	105	45	9	9	NUM
cana-734	105	46	18	18	NUM
cana-734	105	47	19	19	NUM
cana-734	105	48	5	5	NUM
cana-734	105	49	7	7	NUM
cana-734	105	50	150	150	NUM
cana-734	105	51	example	example	NOUN
cana-734	105	52	:	:	PUNCT
cana-734	105	53	bacterial	bacterial	ADJ
cana-734	105	54	position	position	NOUN
cana-734	105	55	(	(	PUNCT
cana-734	105	56	p1	p1	NOUN
cana-734	105	57	)	)	PUNCT
cana-734	105	58	=	=	PUNCT
cana-734	105	59	(	(	PUNCT
cana-734	105	60	1,2,0,2,0,1,2,0,0	1,2,0,2,0,1,2,0,0	NUM
cana-734	105	61	)	)	PUNCT
cana-734	105	62	f(p1)=(1*utility(ia))+(2*utility(ib))+(0*utility(ic))+(2*utility(id))+(0*utility(ie))+(1*utility(if))+	f(p1)=(1*utility(ia))+(2*utility(ib))+(0*utility(ic))+(2*utility(id))+(0*utility(ie))+(1*utility(if))+	NOUN
cana-734	105	63	(	(	PUNCT
cana-734	105	64	2*utility(ig))+(0*utility(ih))+(0	2*utility(ig))+(0*utility(ih))+(0	PROPN
cana-734	105	65	*	*	PUNCT
cana-734	105	66	utility(ii	utility(ii	NOUN
cana-734	105	67	)	)	PUNCT
cana-734	105	68	)	)	PUNCT
cana-734	106	1	f(p1)=(1	f(p1)=(1	PROPN
cana-734	106	2	*	*	ADJ
cana-734	106	3	1)+(2	1)+(2	NUM
cana-734	106	4	*	*	ADJ
cana-734	106	5	2)+(0	2)+(0	NUM
cana-734	106	6	*	*	NOUN
cana-734	106	7	1)+(2	1)+(2	NUM
cana-734	106	8	*	*	SYM
cana-734	106	9	5)+(0	5)+(0	NUM
cana-734	106	10	*	*	NOUN
cana-734	106	11	4)+(1	4)+(1	NUM
cana-734	106	12	*	*	VERB
cana-734	106	13	3)+(2	3)+(2	NUM
cana-734	106	14	*	*	NOUN
cana-734	106	15	1)+(0	1)+(0	NUM
cana-734	106	16	*	*	NOUN
cana-734	106	17	2)+(0	2)+(0	NUM
cana-734	106	18	*	*	NOUN
cana-734	106	19	1	1	NUM
cana-734	106	20	)	)	PUNCT
cana-734	106	21	f(p1)=18	f(p1)=18	ADP
cana-734	106	22	the	the	DET
cana-734	106	23	summation	summation	NOUN
cana-734	106	24	of	of	ADP
cana-734	106	25	the	the	DET
cana-734	106	26	fitness	fitness	NOUN
cana-734	106	27	value	value	NOUN
cana-734	106	28	of	of	ADP
cana-734	106	29	all	all	DET
cana-734	106	30	bacterial	bacterial	ADJ
cana-734	106	31	positions	position	NOUN
cana-734	106	32	to	to	PART
cana-734	106	33	acquire	acquire	VERB
cana-734	106	34	the	the	DET
cana-734	106	35	total	total	ADJ
cana-734	106	36	fitness	fitness	NOUN
cana-734	106	37	using	use	VERB
cana-734	106	38	equation	equation	NOUN
cana-734	106	39	2	2	NUM
cana-734	106	40	.	.	PUNCT
cana-734	107	1	𝑇𝑜𝑡𝑎𝑙𝑓𝑖𝑡𝑛𝑒𝑠𝑠	𝑇𝑜𝑡𝑎𝑙𝑓𝑖𝑡𝑛𝑒𝑠𝑠	PROPN
cana-734	107	2	=	=	PUNCT
cana-734	107	3	∑	∑	PUNCT
cana-734	107	4	𝐹(𝑃𝑗)𝑁	𝐹(𝑃𝑗)𝑁	PROPN
cana-734	107	5	𝑗=1	𝑗=1	PROPN
cana-734	107	6	---------(2	---------(2	PROPN
cana-734	107	7	)	)	PUNCT
cana-734	107	8	3.3	3.3	NUM
cana-734	107	9	.	.	PUNCT
cana-734	108	1	selection	selection	NOUN
cana-734	108	2	mechanism	mechanism	NOUN
cana-734	108	3	for	for	ADP
cana-734	108	4	every	every	DET
cana-734	108	5	bacterial	bacterial	ADJ
cana-734	108	6	position	position	NOUN
cana-734	108	7	(	(	PUNCT
cana-734	108	8	p1	p1	NOUN
cana-734	108	9	)	)	PUNCT
cana-734	108	10	,	,	PUNCT
cana-734	108	11	estimate	estimate	VERB
cana-734	108	12	its	its	PRON
cana-734	108	13	selection	selection	NOUN
cana-734	108	14	probability	probability	NOUN
cana-734	108	15	p(pi	p(pi	NOUN
cana-734	108	16	)	)	PUNCT
cana-734	108	17	utilizing	utilize	VERB
cana-734	108	18	equation	equation	NOUN
cana-734	108	19	3	3	NUM
cana-734	108	20	.	.	PUNCT
cana-734	108	21	𝑃(𝑝𝑖	𝑃(𝑝𝑖	NOUN
cana-734	108	22	)	)	PUNCT
cana-734	109	1	=	=	SYM
cana-734	109	2	𝐹(𝑝𝑖	𝐹(𝑝𝑖	NOUN
cana-734	109	3	)	)	PUNCT
cana-734	109	4	∑	∑	ADV
cana-734	109	5	𝐹(𝑝𝑗	𝐹(𝑝𝑗	X
cana-734	109	6	)	)	PUNCT
cana-734	109	7	𝑁	𝑁	PROPN
cana-734	109	8	𝑗=1	𝑗=1	PROPN
cana-734	109	9	---------(3	---------(3	PROPN
cana-734	109	10	)	)	PUNCT
cana-734	109	11	example	example	NOUN
cana-734	109	12	:	:	PUNCT
cana-734	109	13	𝑃(𝑝1	𝑃(𝑝1	X
cana-734	109	14	)	)	PUNCT
cana-734	109	15	=	=	SYM
cana-734	109	16	𝐹(𝑝1	𝐹(𝑝1	X
cana-734	109	17	)	)	PUNCT
cana-734	109	18	∑	∑	ADV
cana-734	109	19	𝐹(𝑝𝑗	𝐹(𝑝𝑗	NOUN
cana-734	109	20	)	)	PUNCT
cana-734	110	1	𝑁	𝑁	PROPN
cana-734	110	2	𝑗=1	𝑗=1	NOUN
cana-734	110	3	=	=	SYM
cana-734	110	4	18	18	NUM
cana-734	110	5	150	150	NUM
cana-734	110	6	≈	≈	PROPN
cana-734	110	7	0.12	0.12	NUM
cana-734	110	8	the	the	DET
cana-734	110	9	selection	selection	NOUN
cana-734	110	10	probability	probability	NOUN
cana-734	110	11	for	for	ADP
cana-734	110	12	every	every	DET
cana-734	110	13	bacterial	bacterial	ADJ
cana-734	110	14	position	position	NOUN
cana-734	110	15	(	(	PUNCT
cana-734	110	16	p1	p1	NOUN
cana-734	110	17	,	,	PUNCT
cana-734	110	18	p2,	p2,	NOUN
cana-734	110	19	…	…	PUNCT
cana-734	110	20	.p12	.p12	X
cana-734	110	21	)	)	PUNCT
cana-734	110	22	is	be	AUX
cana-734	110	23	given	give	VERB
cana-734	110	24	as	as	ADP
cana-734	110	25	0.12	0.12	NUM
cana-734	110	26	,	,	PUNCT
cana-734	110	27	0.0467	0.0467	NUM
cana-734	110	28	,	,	PUNCT
cana-734	110	29	0.0867	0.0867	NUM
cana-734	110	30	,	,	PUNCT
cana-734	110	31	0.1467	0.1467	NUM
cana-734	110	32	,	,	PUNCT
cana-734	110	33	0.0867	0.0867	NUM
cana-734	110	34	,	,	PUNCT
cana-734	110	35	0.0933	0.0933	NUM
cana-734	110	36	,	,	PUNCT
cana-734	110	37	0.0333	0.0333	NUM
cana-734	110	38	,	,	PUNCT
cana-734	110	39	0.06	0.06	NUM
cana-734	110	40	,	,	PUNCT
cana-734	110	41	0.12	0.12	NUM
cana-734	110	42	,	,	PUNCT
cana-734	110	43	0.1267	0.1267	NUM
cana-734	110	44	,	,	PUNCT
cana-734	110	45	0.0333	0.0333	NUM
cana-734	110	46	,	,	PUNCT
cana-734	110	47	and	and	CCONJ
cana-734	110	48	0.0467	0.0467	NUM
cana-734	110	49	.	.	NOUN
cana-734	111	1	3.4	3.4	NUM
cana-734	111	2	.	.	PUNCT
cana-734	112	1	genetic	genetic	ADJ
cana-734	112	2	operators	operator	NOUN
cana-734	112	3	the	the	DET
cana-734	112	4	solution	solution	NOUN
cana-734	112	5	space	space	NOUN
cana-734	112	6	is	be	AUX
cana-734	112	7	effectively	effectively	ADV
cana-734	112	8	exploited	exploit	VERB
cana-734	112	9	using	use	VERB
cana-734	112	10	the	the	DET
cana-734	112	11	prominent	prominent	ADJ
cana-734	112	12	operations	operation	NOUN
cana-734	112	13	mutation	mutation	NOUN
cana-734	112	14	and	and	CCONJ
cana-734	112	15	crossover	crossover	NOUN
cana-734	112	16	that	that	PRON
cana-734	112	17	has	have	VERB
cana-734	112	18	the	the	DET
cana-734	112	19	exploration	exploration	NOUN
cana-734	112	20	and	and	CCONJ
cana-734	112	21	exploitation	exploitation	NOUN
cana-734	112	22	ability	ability	NOUN
cana-734	112	23	in	in	ADP
cana-734	112	24	solution	solution	NOUN
cana-734	112	25	space	space	NOUN
cana-734	112	26	.	.	PUNCT
cana-734	113	1	these	these	DET
cana-734	113	2	operators	operator	NOUN
cana-734	113	3	are	be	AUX
cana-734	113	4	responsible	responsible	ADJ
cana-734	113	5	for	for	ADP
cana-734	113	6	generating	generate	VERB
cana-734	113	7	the	the	DET
cana-734	113	8	new	new	ADJ
cana-734	113	9	itemset	itemset	NOUN
cana-734	113	10	by	by	ADP
cana-734	113	11	modifying	modify	VERB
cana-734	113	12	and	and	CCONJ
cana-734	113	13	combining	combine	VERB
cana-734	113	14	the	the	DET
cana-734	113	15	existing	exist	VERB
cana-734	113	16	ones	one	NOUN
cana-734	113	17	.	.	PUNCT
cana-734	114	1	genetic	genetic	ADJ
cana-734	114	2	recombination	recombination	NOUN
cana-734	114	3	is	be	AUX
cana-734	114	4	accomplished	accomplish	VERB
cana-734	114	5	using	use	VERB
cana-734	114	6	a	a	DET
cana-734	114	7	genetic	genetic	ADJ
cana-734	114	8	operator	operator	NOUN
cana-734	114	9	called	call	VERB
cana-734	114	10	crossover	crossover	ADP
cana-734	114	11	,	,	PUNCT
cana-734	114	12	where	where	SCONJ
cana-734	114	13	it	it	PRON
cana-734	114	14	exchanges	exchange	VERB
cana-734	114	15	the	the	DET
cana-734	114	16	genetic	genetic	ADJ
cana-734	114	17	data	datum	NOUN
cana-734	114	18	among	among	ADP
cana-734	114	19	the	the	DET
cana-734	114	20	two	two	NUM
cana-734	114	21	parent	parent	NOUN
cana-734	114	22	solutions	solution	NOUN
cana-734	114	23	to	to	PART
cana-734	114	24	generate	generate	VERB
cana-734	114	25	offspring	offspring	NOUN
cana-734	114	26	solutions	solution	NOUN
cana-734	114	27	.	.	PUNCT
cana-734	115	1	in	in	ADP
cana-734	115	2	the	the	DET
cana-734	115	3	hybridized	hybridize	VERB
cana-734	115	4	bfa	bfa	PROPN
cana-734	115	5	with	with	ADP
cana-734	115	6	ga	ga	PROPN
cana-734	115	7	,	,	PUNCT
cana-734	115	8	crossover	crossover	NOUN
cana-734	115	9	operates	operate	VERB
cana-734	115	10	over	over	ADP
cana-734	115	11	the	the	DET
cana-734	115	12	bacterial	bacterial	ADJ
cana-734	115	13	position	position	NOUN
cana-734	115	14	pairs	pair	NOUN
cana-734	115	15	indicated	indicate	VERB
cana-734	115	16	as	as	ADP
cana-734	115	17	binary	binary	ADJ
cana-734	115	18	strings	string	NOUN
cana-734	115	19	.	.	PUNCT
cana-734	116	1	typically	typically	ADV
cana-734	116	2	,	,	PUNCT
cana-734	116	3	it	it	PRON
cana-734	116	4	selects	select	VERB
cana-734	116	5	the	the	DET
cana-734	116	6	crossover	crossover	NOUN
cana-734	116	7	points	point	VERB
cana-734	116	8	from	from	ADP
cana-734	116	9	the	the	DET
cana-734	116	10	binary	binary	ADJ
cana-734	116	11	strings	string	NOUN
cana-734	116	12	and	and	CCONJ
cana-734	116	13	the	the	DET
cana-734	116	14	substrings	substring	NOUN
cana-734	116	15	are	be	AUX
cana-734	116	16	swapped	swap	VERB
cana-734	116	17	beyond	beyond	ADP
cana-734	116	18	the	the	DET
cana-734	116	19	crossover	crossover	NOUN
cana-734	116	20	point	point	NOUN
cana-734	116	21	amongst	amongst	ADP
cana-734	116	22	two	two	NUM
cana-734	116	23	parent	parent	NOUN
cana-734	116	24	solutions	solution	NOUN
cana-734	116	25	.	.	PUNCT
cana-734	117	1	the	the	DET
cana-734	117	2	exchange	exchange	NOUN
cana-734	117	3	of	of	ADP
cana-734	117	4	genetic	genetic	ADJ
cana-734	117	5	data	datum	NOUN
cana-734	117	6	generates	generate	VERB
cana-734	117	7	two	two	NUM
cana-734	117	8	communications	communication	NOUN
cana-734	117	9	on	on	ADP
cana-734	117	10	applied	apply	VERB
cana-734	117	11	nonlinear	nonlinear	ADJ
cana-734	117	12	analysis	analysis	NOUN
cana-734	117	13	issn	issn	NOUN
cana-734	117	14	:	:	PUNCT
cana-734	117	15	1074	1074	NUM
cana-734	117	16	-	-	PUNCT
cana-734	117	17	133x	133x	NUM
cana-734	117	18	vol	vol	NOUN
cana-734	117	19	31	31	NUM
cana-734	117	20	no	no	NOUN
cana-734	117	21	.	.	PUNCT
cana-734	118	1	3s	3s	NUM
cana-734	118	2	(	(	PUNCT
cana-734	118	3	2024	2024	NUM
cana-734	118	4	)	)	PUNCT
cana-734	118	5	96	96	NUM
cana-734	118	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-734	118	7	offspring	offspring	NOUN
cana-734	118	8	solutions	solution	NOUN
cana-734	118	9	with	with	ADP
cana-734	118	10	the	the	DET
cana-734	118	11	combination	combination	NOUN
cana-734	118	12	of	of	ADP
cana-734	118	13	personalities	personality	NOUN
cana-734	118	14	from	from	ADP
cana-734	118	15	the	the	DET
cana-734	118	16	parents	parent	NOUN
cana-734	118	17	.	.	PUNCT
cana-734	119	1	the	the	DET
cana-734	119	2	processes	process	NOUN
cana-734	119	3	of	of	ADP
cana-734	119	4	crossover	crossover	NOUN
cana-734	119	5	are	be	AUX
cana-734	119	6	given	give	VERB
cana-734	119	7	in	in	ADP
cana-734	119	8	equation	equation	NOUN
cana-734	119	9	4	4	NUM
cana-734	119	10	and	and	CCONJ
cana-734	119	11	5	5	NUM
cana-734	119	12	.	.	X
cana-734	119	13	𝑂𝑓𝑓𝑠𝑝𝑟𝑖𝑛𝑔1	𝑂𝑓𝑓𝑠𝑝𝑟𝑖𝑛𝑔1	PROPN
cana-734	119	14	=	=	PUNCT
cana-734	119	15	𝑆𝑢𝑏𝑠𝑡𝑟𝑖𝑛𝑔1	𝑆𝑢𝑏𝑠𝑡𝑟𝑖𝑛𝑔1	PROPN
cana-734	119	16	𝑃𝑎𝑟𝑒𝑛𝑡1	𝑃𝑎𝑟𝑒𝑛𝑡1	PROPN
cana-734	119	17	+	+	CCONJ
cana-734	119	18	𝑆𝑢𝑏𝑠𝑡𝑟𝑖𝑛𝑔2	𝑆𝑢𝑏𝑠𝑡𝑟𝑖𝑛𝑔2	PROPN
cana-734	119	19	𝑃𝑎𝑟𝑒𝑛𝑡2	𝑃𝑎𝑟𝑒𝑛𝑡2	PROPN
cana-734	119	20	-	-	PUNCT
cana-734	119	21	--------(4	--------(4	PROPN
cana-734	119	22	)	)	PUNCT
cana-734	119	23	𝑂𝑓𝑓𝑠𝑝𝑟𝑖𝑛𝑔2	𝑂𝑓𝑓𝑠𝑝𝑟𝑖𝑛𝑔2	PROPN
cana-734	119	24	=	=	PUNCT
cana-734	119	25	𝑆𝑢𝑏𝑠𝑡𝑟𝑖𝑛𝑔1	𝑆𝑢𝑏𝑠𝑡𝑟𝑖𝑛𝑔1	NUM
cana-734	119	26	𝑃𝑎𝑟𝑒𝑛𝑡2	𝑃𝑎𝑟𝑒𝑛𝑡2	PROPN
cana-734	119	27	+	+	CCONJ
cana-734	119	28	𝑆𝑢𝑏𝑠𝑡𝑟𝑖𝑛𝑔2	𝑆𝑢𝑏𝑠𝑡𝑟𝑖𝑛𝑔2	PROPN
cana-734	119	29	𝑃𝑎𝑟𝑒𝑛𝑡1	𝑃𝑎𝑟𝑒𝑛𝑡1	PROPN
cana-734	119	30	-	-	PUNCT
cana-734	119	31	--------(5	--------(5	NOUN
cana-734	119	32	)	)	PUNCT
cana-734	119	33	where	where	SCONJ
cana-734	119	34	𝑆𝑢𝑏𝑠𝑡𝑟𝑖𝑛𝑔1	𝑆𝑢𝑏𝑠𝑡𝑟𝑖𝑛𝑔1	PROPN
cana-734	119	35	𝑃𝑎𝑟𝑒𝑛𝑡1	𝑃𝑎𝑟𝑒𝑛𝑡1	PROPN
cana-734	119	36	indicates	indicate	VERB
cana-734	119	37	parent1	parent1	NOUN
cana-734	119	38	's	's	PART
cana-734	119	39	substring	substring	NOUN
cana-734	119	40	of	of	ADP
cana-734	119	41	the	the	DET
cana-734	119	42	binary	binary	ADJ
cana-734	119	43	strings	string	NOUN
cana-734	119	44	before	before	ADP
cana-734	119	45	the	the	DET
cana-734	119	46	point	point	NOUN
cana-734	119	47	of	of	ADP
cana-734	119	48	crossover	crossover	NOUN
cana-734	119	49	,	,	PUNCT
cana-734	119	50	𝑆𝑢𝑏𝑠𝑡𝑟𝑖𝑛𝑔2	𝑆𝑢𝑏𝑠𝑡𝑟𝑖𝑛𝑔2	PROPN
cana-734	119	51	𝑃𝑎𝑟𝑒𝑛𝑡2	𝑃𝑎𝑟𝑒𝑛𝑡2	PROPN
cana-734	119	52	indicates	indicate	VERB
cana-734	119	53	parent1	parent1	NOUN
cana-734	119	54	's	's	PART
cana-734	119	55	substring	substring	NOUN
cana-734	119	56	of	of	ADP
cana-734	119	57	the	the	DET
cana-734	119	58	binary	binary	ADJ
cana-734	119	59	strings	string	NOUN
cana-734	119	60	before	before	ADP
cana-734	119	61	the	the	DET
cana-734	119	62	point	point	NOUN
cana-734	119	63	of	of	ADP
cana-734	119	64	crossover	crossover	NOUN
cana-734	119	65	and	and	CCONJ
cana-734	119	66	vice	vice	ADV
cana-734	119	67	versa	versa	ADV
cana-734	119	68	for	for	ADP
cana-734	119	69	the	the	DET
cana-734	119	70	subsequent	subsequent	ADJ
cana-734	119	71	string	string	NOUN
cana-734	119	72	.	.	PUNCT
cana-734	120	1	example	example	NOUN
cana-734	120	2	:	:	PUNCT
cana-734	120	3	the	the	DET
cana-734	120	4	bacterial	bacterial	ADJ
cana-734	120	5	positions	position	NOUN
cana-734	120	6	of	of	ADP
cana-734	120	7	the	the	DET
cana-734	120	8	parents	parent	NOUN
cana-734	120	9	are	be	AUX
cana-734	120	10	parent1	parent1	ADJ
cana-734	120	11	is	be	AUX
cana-734	120	12	{	{	PUNCT
cana-734	120	13	1101001100	1101001100	NUM
cana-734	120	14	}	}	PUNCT
cana-734	120	15	and	and	CCONJ
cana-734	120	16	parent2	parent2	NOUN
cana-734	120	17	is	be	AUX
cana-734	120	18	{	{	PUNCT
cana-734	120	19	0011110101	0011110101	NUM
cana-734	120	20	}	}	PUNCT
cana-734	120	21	.	.	PUNCT
cana-734	121	1	the	the	DET
cana-734	121	2	crossover	crossover	NOUN
cana-734	121	3	is	be	AUX
cana-734	121	4	performed	perform	VERB
cana-734	121	5	on	on	ADP
cana-734	121	6	every	every	DET
cana-734	121	7	pair	pair	NOUN
cana-734	121	8	is	be	AUX
cana-734	121	9	given	give	VERB
cana-734	121	10	as	as	SCONJ
cana-734	121	11	𝑆𝑢𝑏𝑠𝑡𝑟𝑖𝑛𝑔1	𝑆𝑢𝑏𝑠𝑡𝑟𝑖𝑛𝑔1	PROPN
cana-734	121	12	𝑃𝑎𝑟𝑒𝑛𝑡1	𝑃𝑎𝑟𝑒𝑛𝑡1	PROPN
cana-734	121	13	is	be	AUX
cana-734	121	14	{	{	PUNCT
cana-734	121	15	1101	1101	NUM
cana-734	121	16	}	}	PUNCT
cana-734	121	17	,	,	PUNCT
cana-734	121	18	𝑆𝑢𝑏𝑠𝑡𝑟𝑖𝑛𝑔2	𝑆𝑢𝑏𝑠𝑡𝑟𝑖𝑛𝑔2	PROPN
cana-734	121	19	𝑃𝑎𝑟𝑒𝑛𝑡2	𝑃𝑎𝑟𝑒𝑛𝑡2	PROPN
cana-734	121	20	is	be	AUX
cana-734	121	21	{	{	PUNCT
cana-734	121	22	1011	1011	NUM
cana-734	121	23	}	}	PUNCT
cana-734	121	24	,	,	PUNCT
cana-734	121	25	𝑆𝑢𝑏𝑠𝑡𝑟𝑖𝑛𝑔1	𝑆𝑢𝑏𝑠𝑡𝑟𝑖𝑛𝑔1	PROPN
cana-734	121	26	𝑃𝑎𝑟𝑒𝑛𝑡2	𝑃𝑎𝑟𝑒𝑛𝑡2	PROPN
cana-734	121	27	is	be	AUX
cana-734	121	28	{	{	PUNCT
cana-734	121	29	0011	0011	NUM
cana-734	121	30	}	}	PUNCT
cana-734	121	31	,	,	PUNCT
cana-734	121	32	and	and	CCONJ
cana-734	121	33	𝑆𝑢𝑏𝑠𝑡𝑟𝑖𝑛𝑔2	𝑆𝑢𝑏𝑠𝑡𝑟𝑖𝑛𝑔2	PROPN
cana-734	121	34	𝑃𝑎𝑟𝑒𝑛𝑡1	𝑃𝑎𝑟𝑒𝑛𝑡1	PROPN
cana-734	121	35	is	be	AUX
cana-734	121	36	{	{	PUNCT
cana-734	121	37	1001	1001	NUM
cana-734	121	38	}	}	PUNCT
cana-734	121	39	.	.	PUNCT
cana-734	122	1	the	the	DET
cana-734	122	2	acquired	acquire	VERB
cana-734	122	3	offsprings	offspring	NOUN
cana-734	122	4	are	be	AUX
cana-734	122	5	𝑂𝑓𝑓𝑠𝑝𝑟𝑖𝑛𝑔1	𝑂𝑓𝑓𝑠𝑝𝑟𝑖𝑛𝑔1	PROPN
cana-734	122	6	is	be	AUX
cana-734	122	7	{	{	PUNCT
cana-734	122	8	11011011	11011011	NUM
cana-734	122	9	}	}	PUNCT
cana-734	122	10	,	,	PUNCT
cana-734	122	11	and	and	CCONJ
cana-734	122	12	𝑂𝑓𝑓𝑠𝑝𝑟𝑖𝑛𝑔2	𝑂𝑓𝑓𝑠𝑝𝑟𝑖𝑛𝑔2	PROPN
cana-734	122	13	is	be	AUX
cana-734	122	14	{	{	PUNCT
cana-734	122	15	00111001	00111001	NUM
cana-734	122	16	}	}	PUNCT
cana-734	122	17	.	.	PUNCT
cana-734	123	1	the	the	DET
cana-734	123	2	same	same	ADJ
cana-734	123	3	process	process	NOUN
cana-734	123	4	is	be	AUX
cana-734	123	5	applied	apply	VERB
cana-734	123	6	to	to	ADP
cana-734	123	7	all	all	DET
cana-734	123	8	the	the	DET
cana-734	123	9	parent	parent	NOUN
cana-734	123	10	solutions	solution	NOUN
cana-734	123	11	,	,	PUNCT
cana-734	123	12	and	and	CCONJ
cana-734	123	13	the	the	DET
cana-734	123	14	solution	solution	NOUN
cana-734	123	15	is	be	AUX
cana-734	123	16	acquired	acquire	VERB
cana-734	123	17	for	for	ADP
cana-734	123	18	all	all	DET
cana-734	123	19	the	the	DET
cana-734	123	20	bacterial	bacterial	ADJ
cana-734	123	21	positions	position	NOUN
cana-734	123	22	.	.	PUNCT
cana-734	124	1	the	the	DET
cana-734	124	2	random	random	ADJ
cana-734	124	3	alteration	alteration	NOUN
cana-734	124	4	in	in	ADP
cana-734	124	5	the	the	DET
cana-734	124	6	genes	gene	NOUN
cana-734	124	7	of	of	ADP
cana-734	124	8	the	the	DET
cana-734	124	9	genetic	genetic	ADJ
cana-734	124	10	operator	operator	NOUN
cana-734	124	11	is	be	AUX
cana-734	124	12	accomplished	accomplish	VERB
cana-734	124	13	using	use	VERB
cana-734	124	14	the	the	DET
cana-734	124	15	mutation	mutation	NOUN
cana-734	124	16	operation	operation	NOUN
cana-734	124	17	.	.	PUNCT
cana-734	125	1	it	it	PRON
cana-734	125	2	perturbs	perturb	VERB
cana-734	125	3	the	the	DET
cana-734	125	4	positions	position	NOUN
cana-734	125	5	of	of	ADP
cana-734	125	6	bacteria	bacteria	NOUN
cana-734	125	7	indicated	indicate	VERB
cana-734	125	8	as	as	ADP
cana-734	125	9	binary	binary	ADJ
cana-734	125	10	strings	string	NOUN
cana-734	125	11	,	,	PUNCT
cana-734	125	12	which	which	PRON
cana-734	125	13	permits	permit	VERB
cana-734	125	14	the	the	DET
cana-734	125	15	identification	identification	NOUN
cana-734	125	16	of	of	ADP
cana-734	125	17	new	new	ADJ
cana-734	125	18	regions	region	NOUN
cana-734	125	19	in	in	ADP
cana-734	125	20	the	the	DET
cana-734	125	21	solution	solution	NOUN
cana-734	125	22	space	space	NOUN
cana-734	125	23	.	.	PUNCT
cana-734	126	1	the	the	DET
cana-734	126	2	process	process	NOUN
cana-734	126	3	of	of	ADP
cana-734	126	4	mutation	mutation	NOUN
cana-734	126	5	is	be	AUX
cana-734	126	6	given	give	VERB
cana-734	126	7	in	in	ADP
cana-734	126	8	equation	equation	NOUN
cana-734	126	9	6	6	NUM
cana-734	126	10	.	.	PUNCT
cana-734	127	1	𝑀𝑢𝑡𝑎𝑡𝑒𝑑𝑠𝑜𝑙𝑢𝑡𝑖𝑜𝑛	𝑀𝑢𝑡𝑎𝑡𝑒𝑑𝑠𝑜𝑙𝑢𝑡𝑖𝑜𝑛	PROPN
cana-734	127	2	=	=	PUNCT
cana-734	127	3	𝑂𝑟𝑖𝑔𝑖𝑛𝑎𝑙	𝑂𝑟𝑖𝑔𝑖𝑛𝑎𝑙	PROPN
cana-734	127	4	𝑆𝑜𝑙𝑢𝑡𝑖𝑜𝑛⨁𝑀𝑢𝑡𝑎𝑡𝑖𝑜𝑛	𝑆𝑜𝑙𝑢𝑡𝑖𝑜𝑛⨁𝑀𝑢𝑡𝑎𝑡𝑖𝑜𝑛	NOUN
cana-734	127	5	𝑀𝑎𝑠𝑘---------(6	𝑀𝑎𝑠𝑘---------(6	PROPN
cana-734	127	6	)	)	PUNCT
cana-734	127	7	where	where	SCONJ
cana-734	127	8	the	the	DET
cana-734	127	9	bitwise	bitwise	NOUN
cana-734	127	10	xor	xor	PROPN
cana-734	127	11	operation	operation	NOUN
cana-734	127	12	is	be	AUX
cana-734	127	13	given	give	VERB
cana-734	127	14	amongst	amongst	ADP
cana-734	127	15	the	the	DET
cana-734	127	16	mutation	mutation	NOUN
cana-734	127	17	mask	mask	NOUN
cana-734	127	18	,	,	PUNCT
cana-734	127	19	and	and	CCONJ
cana-734	127	20	the	the	DET
cana-734	127	21	original	original	ADJ
cana-734	127	22	solution	solution	NOUN
cana-734	127	23	is	be	AUX
cana-734	127	24	indicated	indicate	VERB
cana-734	127	25	as	as	SCONJ
cana-734	127	26	⊕.	⊕.	DET
cana-734	127	27	the	the	DET
cana-734	127	28	mutation	mutation	NOUN
cana-734	127	29	mask	mask	NOUN
cana-734	127	30	encompasses	encompass	VERB
cana-734	127	31	bits	bit	NOUN
cana-734	127	32	,	,	PUNCT
cana-734	127	33	which	which	PRON
cana-734	127	34	are	be	AUX
cana-734	127	35	randomly	randomly	ADV
cana-734	127	36	created	create	VERB
cana-734	127	37	bits	bit	NOUN
cana-734	127	38	to	to	PART
cana-734	127	39	be	be	AUX
cana-734	127	40	mutated	mutate	VERB
cana-734	127	41	in	in	ADP
cana-734	127	42	the	the	DET
cana-734	127	43	solution	solution	NOUN
cana-734	127	44	space	space	NOUN
cana-734	127	45	.	.	PUNCT
cana-734	128	1	example	example	NOUN
cana-734	128	2	:	:	PUNCT
cana-734	128	3	the	the	DET
cana-734	128	4	probability	probability	NOUN
cana-734	128	5	of	of	ADP
cana-734	128	6	mutation	mutation	NOUN
cana-734	128	7	is	be	AUX
cana-734	128	8	given	give	VERB
cana-734	128	9	as	as	ADP
cana-734	128	10	0.1	0.1	NUM
cana-734	128	11	(	(	PUNCT
cana-734	128	12	10	10	NUM
cana-734	128	13	%	%	NOUN
cana-734	128	14	)	)	PUNCT
cana-734	128	15	,	,	PUNCT
cana-734	128	16	and	and	CCONJ
cana-734	128	17	every	every	DET
cana-734	128	18	string	string	NOUN
cana-734	128	19	has	have	VERB
cana-734	128	20	a	a	DET
cana-734	128	21	10	10	NUM
cana-734	128	22	%	%	NOUN
cana-734	128	23	chance	chance	NOUN
cana-734	128	24	of	of	ADP
cana-734	128	25	mutation	mutation	NOUN
cana-734	128	26	.	.	PUNCT
cana-734	129	1	for	for	ADP
cana-734	129	2	masking	masking	NOUN
cana-734	129	3	,	,	PUNCT
cana-734	129	4	a	a	DET
cana-734	129	5	random	random	ADJ
cana-734	129	6	number	number	NOUN
cana-734	129	7	is	be	AUX
cana-734	129	8	created	create	VERB
cana-734	129	9	that	that	PRON
cana-734	129	10	is	be	AUX
cana-734	129	11	less	less	ADJ
cana-734	129	12	than	than	ADP
cana-734	129	13	the	the	DET
cana-734	129	14	probability	probability	NOUN
cana-734	129	15	.	.	PUNCT
cana-734	130	1	for	for	ADP
cana-734	130	2	the	the	DET
cana-734	130	3	original	original	ADJ
cana-734	130	4	binary	binary	NOUN
cana-734	130	5	string	string	NOUN
cana-734	130	6	110101100	110101100	NUM
cana-734	130	7	,	,	PUNCT
cana-734	130	8	the	the	DET
cana-734	130	9	randomly	randomly	ADV
cana-734	130	10	generated	generate	VERB
cana-734	130	11	mutation	mutation	NOUN
cana-734	130	12	mask	mask	NOUN
cana-734	130	13	is	be	AUX
cana-734	130	14	001010100	001010100	NUM
cana-734	130	15	,	,	PUNCT
cana-734	130	16	whereas	whereas	SCONJ
cana-734	130	17	the	the	DET
cana-734	130	18	mutated	mutate	VERB
cana-734	130	19	solution	solution	NOUN
cana-734	130	20	is	be	AUX
cana-734	130	21	111111000	111111000	NUM
cana-734	130	22	.	.	PUNCT
cana-734	131	1	the	the	DET
cana-734	131	2	process	process	NOUN
cana-734	131	3	of	of	ADP
cana-734	131	4	candidate	candidate	NOUN
cana-734	131	5	generation	generation	NOUN
cana-734	131	6	from	from	ADP
cana-734	131	7	the	the	DET
cana-734	131	8	mutated	mutate	VERB
cana-734	131	9	binary	binary	ADJ
cana-734	131	10	strings	string	NOUN
cana-734	131	11	is	be	AUX
cana-734	131	12	{	{	PUNCT
cana-734	131	13	ia	ia	PROPN
cana-734	131	14	}	}	PUNCT
cana-734	131	15	,	,	PUNCT
cana-734	131	16	{	{	PUNCT
cana-734	131	17	ib	ib	NOUN
cana-734	131	18	}	}	PUNCT
cana-734	131	19	,	,	PUNCT
cana-734	131	20	{	{	PUNCT
cana-734	131	21	i	i	NOUN
cana-734	131	22	d	d	PROPN
cana-734	131	23	}	}	PUNCT
cana-734	131	24	,	,	PUNCT
cana-734	131	25	{	{	PUNCT
cana-734	131	26	ie	ie	X
cana-734	131	27	}	}	PUNCT
cana-734	131	28	,	,	PUNCT
cana-734	131	29	{	{	PUNCT
cana-734	131	30	if	if	SCONJ
cana-734	131	31	}	}	PUNCT
cana-734	131	32	,	,	PUNCT
cana-734	131	33	{	{	PUNCT
cana-734	131	34	ig	ig	NOUN
cana-734	131	35	}	}	PUNCT
cana-734	131	36	,	,	PUNCT
cana-734	131	37	{	{	PUNCT
cana-734	131	38	ia	ia	PROPN
cana-734	131	39	,	,	PUNCT
cana-734	131	40	ib	ib	NOUN
cana-734	131	41	}	}	PUNCT
cana-734	131	42	,	,	PUNCT
cana-734	131	43	{	{	PUNCT
cana-734	131	44	ia	ia	PROPN
cana-734	131	45	,	,	PUNCT
cana-734	131	46	i	i	PROPN
cana-734	131	47	d	d	NOUN
cana-734	131	48	}	}	PUNCT
cana-734	131	49	,	,	PUNCT
cana-734	131	50	{	{	PUNCT
cana-734	131	51	ia	ia	PROPN
cana-734	131	52	,	,	PUNCT
cana-734	131	53	ie	ie	ADJ
cana-734	131	54	}	}	PUNCT
cana-734	131	55	,	,	PUNCT
cana-734	131	56	{	{	PUNCT
cana-734	131	57	ia	ia	PROPN
cana-734	131	58	,	,	PUNCT
cana-734	131	59	if	if	SCONJ
cana-734	131	60	}	}	PUNCT
cana-734	131	61	,	,	PUNCT
cana-734	131	62	{	{	PUNCT
cana-734	131	63	ia	ia	PROPN
cana-734	131	64	,	,	PUNCT
cana-734	131	65	ig	ig	NOUN
cana-734	131	66	}	}	PUNCT
cana-734	131	67	,	,	PUNCT
cana-734	131	68	{	{	PUNCT
cana-734	131	69	ib	ib	X
cana-734	131	70	,	,	PUNCT
cana-734	131	71	i	i	PROPN
cana-734	131	72	d	d	PROPN
cana-734	131	73	}	}	PUNCT
cana-734	131	74	,	,	PUNCT
cana-734	131	75	{	{	PUNCT
cana-734	131	76	ib	ib	NOUN
cana-734	131	77	,	,	PUNCT
cana-734	131	78	ie	ie	X
cana-734	131	79	}	}	PUNCT
cana-734	131	80	,	,	PUNCT
cana-734	131	81	{	{	PUNCT
cana-734	131	82	ib	ib	INTJ
cana-734	131	83	,	,	PUNCT
cana-734	131	84	if	if	SCONJ
cana-734	131	85	}	}	PUNCT
cana-734	131	86	,	,	PUNCT
cana-734	131	87	{	{	PUNCT
cana-734	131	88	ib	ib	INTJ
cana-734	131	89	,	,	PUNCT
cana-734	131	90	ig	ig	PROPN
cana-734	131	91	}	}	PUNCT
cana-734	131	92	,	,	PUNCT
cana-734	131	93	{	{	PUNCT
cana-734	131	94	i	i	PROPN
cana-734	131	95	d	d	PROPN
cana-734	131	96	,	,	PUNCT
cana-734	131	97	ie	ie	X
cana-734	131	98	}	}	PUNCT
cana-734	131	99	,	,	PUNCT
cana-734	131	100	{	{	PUNCT
cana-734	131	101	i	i	PROPN
cana-734	131	102	d	d	PROPN
cana-734	131	103	,	,	PUNCT
cana-734	131	104	if	if	SCONJ
cana-734	131	105	}	}	PUNCT
cana-734	131	106	,	,	PUNCT
cana-734	131	107	{	{	PUNCT
cana-734	131	108	i	i	PROPN
cana-734	131	109	d	d	PROPN
cana-734	131	110	,	,	PUNCT
cana-734	131	111	ig	ig	PROPN
cana-734	131	112	}	}	PUNCT
cana-734	131	113	,	,	PUNCT
cana-734	131	114	{	{	PUNCT
cana-734	131	115	ie	ie	X
cana-734	131	116	,	,	PUNCT
cana-734	131	117	if	if	SCONJ
cana-734	131	118	}	}	PUNCT
cana-734	131	119	,	,	PUNCT
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cana-734	131	218	,	,	PUNCT
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cana-734	131	236	,	,	PUNCT
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cana-734	131	242	,	,	PUNCT
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cana-734	131	250	,	,	PUNCT
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cana-734	131	253	,	,	PUNCT
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cana-734	131	255	,	,	PUNCT
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cana-734	131	258	,	,	PUNCT
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cana-734	131	304	,	,	PUNCT
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cana-734	131	421	,	,	PUNCT
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cana-734	131	424	,	,	PUNCT
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cana-734	131	432	,	,	PUNCT
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cana-734	131	464	,	,	PUNCT
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cana-734	131	482	,	,	PUNCT
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cana-734	131	484	,	,	PUNCT
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cana-734	131	507	,	,	PUNCT
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cana-734	131	520	,	,	PUNCT
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cana-734	133	2	dynamics	dynamic	VERB
cana-734	133	3	the	the	DET
cana-734	133	4	probability	probability	NOUN
cana-734	133	5	distribution	distribution	NOUN
cana-734	133	6	is	be	AUX
cana-734	133	7	initialized	initialize	VERB
cana-734	133	8	using	use	VERB
cana-734	133	9	the	the	DET
cana-734	133	10	cross	cross	ADJ
cana-734	133	11	-	-	ADJ
cana-734	133	12	entropy	entropy	ADJ
cana-734	133	13	method	method	NOUN
cana-734	133	14	,	,	PUNCT
cana-734	133	15	which	which	PRON
cana-734	133	16	is	be	AUX
cana-734	133	17	based	base	VERB
cana-734	133	18	on	on	ADP
cana-734	133	19	the	the	DET
cana-734	133	20	current	current	ADJ
cana-734	133	21	population	population	NOUN
cana-734	133	22	when	when	SCONJ
cana-734	133	23	identifying	identify	VERB
cana-734	133	24	the	the	DET
cana-734	133	25	huis	huis	NOUN
cana-734	133	26	.	.	PUNCT
cana-734	134	1	the	the	DET
cana-734	134	2	primary	primary	ADJ
cana-734	134	3	intent	intent	NOUN
cana-734	134	4	of	of	ADP
cana-734	134	5	this	this	DET
cana-734	134	6	update	update	NOUN
cana-734	134	7	is	be	AUX
cana-734	134	8	to	to	PART
cana-734	134	9	alter	alter	VERB
cana-734	134	10	the	the	DET
cana-734	134	11	probability	probability	NOUN
cana-734	134	12	,	,	PUNCT
cana-734	134	13	and	and	CCONJ
cana-734	134	14	the	the	DET
cana-734	134	15	exploration	exploration	NOUN
cana-734	134	16	is	be	AUX
cana-734	134	17	achieved	achieve	VERB
cana-734	134	18	with	with	ADP
cana-734	134	19	the	the	DET
cana-734	134	20	support	support	NOUN
cana-734	134	21	of	of	ADP
cana-734	134	22	a	a	DET
cana-734	134	23	higher	high	ADJ
cana-734	134	24	fitness	fitness	NOUN
cana-734	134	25	value	value	NOUN
cana-734	134	26	.	.	PUNCT
cana-734	135	1	the	the	DET
cana-734	135	2	process	process	NOUN
cana-734	135	3	is	be	AUX
cana-734	135	4	carried	carry	VERB
cana-734	135	5	iteratively	iteratively	ADV
cana-734	135	6	to	to	PART
cana-734	135	7	calculate	calculate	VERB
cana-734	135	8	the	the	DET
cana-734	135	9	probability	probability	NOUN
cana-734	135	10	distribution	distribution	NOUN
cana-734	135	11	.	.	PUNCT
cana-734	136	1	this	this	DET
cana-734	136	2	adaptive	adaptive	ADJ
cana-734	136	3	framework	framework	NOUN
cana-734	136	4	assists	assist	NOUN
cana-734	136	5	in	in	ADP
cana-734	136	6	efficient	efficient	ADJ
cana-734	136	7	guiding	guiding	NOUN
cana-734	136	8	towards	towards	ADP
cana-734	136	9	the	the	DET
cana-734	136	10	near	near	ADV
cana-734	136	11	-	-	PUNCT
cana-734	136	12	optimal	optimal	ADJ
cana-734	136	13	or	or	CCONJ
cana-734	136	14	optimal	optimal	ADJ
cana-734	136	15	solution	solution	NOUN
cana-734	136	16	.	.	PUNCT
cana-734	137	1	the	the	DET
cana-734	137	2	probability	probability	NOUN
cana-734	137	3	distribution	distribution	NOUN
cana-734	137	4	initialization	initialization	NOUN
cana-734	137	5	is	be	AUX
cana-734	137	6	given	give	VERB
cana-734	137	7	in	in	ADP
cana-734	137	8	equation	equation	NOUN
cana-734	137	9	7	7	NUM
cana-734	137	10	.	.	PUNCT
cana-734	137	11	communications	communication	NOUN
cana-734	137	12	on	on	ADP
cana-734	137	13	applied	apply	VERB
cana-734	137	14	nonlinear	nonlinear	ADJ
cana-734	137	15	analysis	analysis	NOUN
cana-734	137	16	issn	issn	NOUN
cana-734	137	17	:	:	PUNCT
cana-734	137	18	1074	1074	NUM
cana-734	137	19	-	-	PUNCT
cana-734	137	20	133x	133x	NUM
cana-734	137	21	vol	vol	NOUN
cana-734	137	22	31	31	NUM
cana-734	137	23	no	no	NOUN
cana-734	137	24	.	.	PUNCT
cana-734	138	1	3s	3s	NUM
cana-734	138	2	(	(	PUNCT
cana-734	138	3	2024	2024	NUM
cana-734	138	4	)	)	PUNCT
cana-734	138	5	97	97	NUM
cana-734	138	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-734	138	7	𝑃(0	𝑃(0	NUM
cana-734	138	8	)	)	PUNCT
cana-734	138	9	=	=	SYM
cana-734	138	10	1	1	NUM
cana-734	138	11	𝑁	𝑁	NOUN
cana-734	138	12	∑	∑	PUNCT
cana-734	138	13	𝑃𝑖	𝑃𝑖	PROPN
cana-734	138	14	(	(	PUNCT
cana-734	138	15	0)𝑁	0)𝑁	NOUN
cana-734	138	16	𝑖=1	𝑖=1	PUNCT
cana-734	138	17	---------(7	---------(7	NOUN
cana-734	138	18	)	)	PUNCT
cana-734	138	19	where	where	SCONJ
cana-734	138	20	the	the	DET
cana-734	138	21	initial	initial	ADJ
cana-734	138	22	value	value	NOUN
cana-734	138	23	of	of	ADP
cana-734	138	24	probability	probability	NOUN
cana-734	138	25	distribution	distribution	NOUN
cana-734	138	26	is	be	AUX
cana-734	138	27	given	give	VERB
cana-734	138	28	as	as	ADP
cana-734	138	29	𝑃(0	𝑃(0	NOUN
cana-734	138	30	)	)	PUNCT
cana-734	138	31	,	,	PUNCT
cana-734	138	32	size	size	NOUN
cana-734	138	33	of	of	ADP
cana-734	138	34	the	the	DET
cana-734	138	35	population	population	NOUN
cana-734	138	36	is	be	AUX
cana-734	138	37	given	give	VERB
cana-734	138	38	as	as	ADP
cana-734	138	39	n	n	CCONJ
cana-734	138	40	,	,	PUNCT
cana-734	138	41	and	and	CCONJ
cana-734	138	42	the	the	DET
cana-734	138	43	ith	ith	PROPN
cana-734	138	44	solution	solution	NOUN
cana-734	138	45	binary	binary	NOUN
cana-734	138	46	string	string	NOUN
cana-734	138	47	in	in	ADP
cana-734	138	48	the	the	DET
cana-734	138	49	solution	solution	NOUN
cana-734	138	50	space	space	NOUN
cana-734	138	51	is	be	AUX
cana-734	138	52	given	give	VERB
cana-734	138	53	as	as	ADP
cana-734	138	54	𝑃𝑖	𝑃𝑖	ADP
cana-734	138	55	(	(	PUNCT
cana-734	138	56	0	0	NUM
cana-734	138	57	)	)	PUNCT
cana-734	138	58	.	.	PUNCT
cana-734	139	1	the	the	DET
cana-734	139	2	probability	probability	NOUN
cana-734	139	3	is	be	AUX
cana-734	139	4	evaluated	evaluate	VERB
cana-734	139	5	using	use	VERB
cana-734	139	6	the	the	DET
cana-734	139	7	bfa	bfa	PROPN
cana-734	139	8	fitness	fitness	PROPN
cana-734	139	9	function	function	NOUN
cana-734	139	10	and	and	CCONJ
cana-734	139	11	updated	update	VERB
cana-734	139	12	using	use	VERB
cana-734	139	13	equation	equation	NOUN
cana-734	139	14	8	8	NUM
cana-734	139	15	.	.	PUNCT
cana-734	139	16	p(t+1	p(t+1	PUNCT
cana-734	139	17	)	)	PUNCT
cana-734	140	1	=	=	PUNCT
cana-734	140	2	∑	∑	PUNCT
cana-734	140	3	pi	pi	NOUN
cana-734	140	4	(	(	PUNCT
cana-734	140	5	t)n	t)n	NOUN
cana-734	140	6	i=1	i=1	PROPN
cana-734	140	7	∙i(f(pi	∙i(f(pi	PROPN
cana-734	140	8	(	(	PUNCT
cana-734	140	9	t	t	PROPN
cana-734	140	10	)	)	PUNCT
cana-734	140	11	)	)	PUNCT
cana-734	140	12	)	)	PUNCT
cana-734	141	1	>	>	PUNCT
cana-734	141	2	threshold	threshold	NOUN
cana-734	141	3	∑	∑	PUNCT
cana-734	141	4	i(f(p	i(f(p	PROPN
cana-734	141	5	i	i	PROPN
cana-734	141	6	(	(	PUNCT
cana-734	141	7	t	t	PROPN
cana-734	141	8	)	)	PUNCT
cana-734	141	9	)	)	PUNCT
cana-734	141	10	)	)	PUNCT
cana-734	142	1	>	>	PUNCT
cana-734	142	2	thresholdn	thresholdn	PROPN
cana-734	142	3	i=1	i=1	PROPN
cana-734	142	4	---------(8	---------(8	PROPN
cana-734	142	5	)	)	PUNCT
cana-734	142	6	where	where	SCONJ
cana-734	142	7	the	the	DET
cana-734	142	8	updated	update	VERB
cana-734	142	9	probability	probability	NOUN
cana-734	142	10	for	for	ADP
cana-734	142	11	the	the	DET
cana-734	142	12	iterations	iteration	NOUN
cana-734	142	13	t+1	t+1	PRON
cana-734	142	14	is	be	AUX
cana-734	142	15	given	give	VERB
cana-734	142	16	as	as	ADP
cana-734	142	17	p(t+1	p(t+1	PROPN
cana-734	142	18	)	)	PUNCT
cana-734	142	19	,	,	PUNCT
cana-734	142	20	the	the	DET
cana-734	142	21	binary	binary	ADJ
cana-734	142	22	string	string	NOUN
cana-734	142	23	of	of	ADP
cana-734	142	24	the	the	DET
cana-734	142	25	solution	solution	NOUN
cana-734	142	26	at	at	ADP
cana-734	142	27	the	the	DET
cana-734	142	28	tth	tth	PROPN
cana-734	142	29	iteration	iteration	NOUN
cana-734	142	30	is	be	AUX
cana-734	142	31	given	give	VERB
cana-734	142	32	as	as	ADP
cana-734	142	33	pi	pi	NOUN
cana-734	142	34	(	(	PUNCT
cana-734	142	35	t	t	PROPN
cana-734	142	36	)	)	PUNCT
cana-734	142	37	,	,	PUNCT
cana-734	142	38	the	the	DET
cana-734	142	39	fitness	fitness	NOUN
cana-734	142	40	value	value	NOUN
cana-734	142	41	is	be	AUX
cana-734	142	42	f(pi	f(pi	NUM
cana-734	142	43	(	(	PUNCT
cana-734	142	44	t	t	PROPN
cana-734	142	45	)	)	PUNCT
cana-734	142	46	)	)	PUNCT
cana-734	142	47	,	,	PUNCT
cana-734	142	48	and	and	CCONJ
cana-734	142	49	the	the	DET
cana-734	142	50	indicator	indicator	NOUN
cana-734	142	51	function	function	NOUN
cana-734	142	52	is	be	AUX
cana-734	142	53	i(∙	i(∙	ADJ
cana-734	142	54	)	)	PUNCT
cana-734	142	55	.	.	PUNCT
cana-734	143	1	this	this	DET
cana-734	143	2	function	function	NOUN
cana-734	143	3	gives	give	VERB
cana-734	143	4	1	1	NUM
cana-734	143	5	if	if	SCONJ
cana-734	143	6	it	it	PRON
cana-734	143	7	is	be	AUX
cana-734	143	8	true	true	ADJ
cana-734	143	9	and	and	CCONJ
cana-734	143	10	0	0	NUM
cana-734	143	11	for	for	ADP
cana-734	143	12	false	false	ADJ
cana-734	143	13	.	.	PUNCT
cana-734	144	1	the	the	DET
cana-734	144	2	new	new	ADJ
cana-734	144	3	solutions	solution	NOUN
cana-734	144	4	are	be	AUX
cana-734	144	5	sampled	sample	VERB
cana-734	144	6	for	for	ADP
cana-734	144	7	the	the	DET
cana-734	144	8	subsequent	subsequent	ADJ
cana-734	144	9	generation	generation	NOUN
cana-734	144	10	,	,	PUNCT
cana-734	144	11	and	and	CCONJ
cana-734	144	12	the	the	DET
cana-734	144	13	process	process	NOUN
cana-734	144	14	is	be	AUX
cana-734	144	15	carried	carry	VERB
cana-734	144	16	iteratively	iteratively	ADV
cana-734	144	17	.	.	PUNCT
cana-734	145	1	the	the	DET
cana-734	145	2	iteration	iteration	NOUN
cana-734	145	3	is	be	AUX
cana-734	145	4	continued	continue	VERB
cana-734	145	5	till	till	SCONJ
cana-734	145	6	it	it	PRON
cana-734	145	7	reaches	reach	VERB
cana-734	145	8	the	the	DET
cana-734	145	9	convergence	convergence	NOUN
cana-734	145	10	.	.	PUNCT
cana-734	146	1	the	the	DET
cana-734	146	2	cross	cross	ADJ
cana-734	146	3	-	-	ADJ
cana-734	146	4	entropy	entropy	ADJ
cana-734	146	5	values	value	NOUN
cana-734	146	6	are	be	AUX
cana-734	146	7	updated	update	VERB
cana-734	146	8	dynamically	dynamically	ADV
cana-734	146	9	and	and	CCONJ
cana-734	146	10	give	give	VERB
cana-734	146	11	higher	high	ADJ
cana-734	146	12	fitness	fitness	NOUN
cana-734	146	13	values	value	NOUN
cana-734	146	14	.	.	PUNCT
cana-734	147	1	example	example	NOUN
cana-734	147	2	:	:	PUNCT
cana-734	147	3	the	the	DET
cana-734	147	4	population	population	NOUN
cana-734	147	5	size	size	NOUN
cana-734	147	6	is	be	AUX
cana-734	147	7	12	12	NUM
cana-734	147	8	,	,	PUNCT
cana-734	147	9	and	and	CCONJ
cana-734	147	10	the	the	DET
cana-734	147	11	population	population	NOUN
cana-734	147	12	initialization	initialization	NOUN
cana-734	147	13	is	be	AUX
cana-734	147	14	p(0	p(0	PROPN
cana-734	147	15	)	)	PUNCT
cana-734	148	1	=	=	SYM
cana-734	148	2	{	{	PUNCT
cana-734	148	3	p1	p1	PROPN
cana-734	148	4	(	(	PUNCT
cana-734	148	5	0	0	NUM
cana-734	148	6	)	)	PUNCT
cana-734	148	7	,	,	PUNCT
cana-734	148	8	p2	p2	X
cana-734	148	9	(	(	PUNCT
cana-734	148	10	0	0	NUM
cana-734	148	11	)	)	PUNCT
cana-734	148	12	,	,	PUNCT
cana-734	148	13	…	…	PUNCT
cana-734	148	14	…	…	PUNCT
cana-734	148	15	,	,	PUNCT
cana-734	148	16	p12	p12	X
cana-734	148	17	(	(	PUNCT
cana-734	148	18	0	0	NUM
cana-734	148	19	)	)	PUNCT
cana-734	148	20	}	}	PUNCT
cana-734	148	21	.	.	PUNCT
cana-734	149	1	the	the	DET
cana-734	149	2	fitness	fitness	NOUN
cana-734	149	3	of	of	ADP
cana-734	149	4	the	the	DET
cana-734	149	5	population	population	NOUN
cana-734	149	6	is	be	AUX
cana-734	149	7	given	give	VERB
cana-734	149	8	as	as	ADP
cana-734	149	9	{	{	PUNCT
cana-734	149	10	f(p1	f(p1	NOUN
cana-734	149	11	(	(	PUNCT
cana-734	149	12	0	0	NUM
cana-734	149	13	)	)	PUNCT
cana-734	149	14	)	)	PUNCT
cana-734	150	1	=	=	SYM
cana-734	150	2	18	18	NUM
cana-734	150	3	,	,	PUNCT
cana-734	150	4	f(p2	f(p2	X
cana-734	150	5	(	(	PUNCT
cana-734	150	6	0	0	NUM
cana-734	150	7	)	)	PUNCT
cana-734	150	8	)	)	PUNCT
cana-734	151	1	=	=	SYM
cana-734	151	2	7	7	NUM
cana-734	151	3	,	,	PUNCT
cana-734	151	4	f(p3	f(p3	X
cana-734	151	5	(	(	PUNCT
cana-734	151	6	0	0	NUM
cana-734	151	7	)	)	PUNCT
cana-734	151	8	)	)	PUNCT
cana-734	152	1	=	=	SYM
cana-734	152	2	13	13	NUM
cana-734	152	3	,	,	PUNCT
cana-734	152	4	f(p4	f(p4	X
cana-734	152	5	(	(	PUNCT
cana-734	152	6	0	0	NUM
cana-734	152	7	)	)	PUNCT
cana-734	152	8	)	)	PUNCT
cana-734	153	1	=	=	SYM
cana-734	153	2	22	22	NUM
cana-734	153	3	,	,	PUNCT
cana-734	153	4	f(p5	f(p5	NOUN
cana-734	153	5	(	(	PUNCT
cana-734	153	6	0	0	NUM
cana-734	153	7	)	)	PUNCT
cana-734	153	8	)	)	PUNCT
cana-734	154	1	=	=	SYM
cana-734	154	2	13	13	NUM
cana-734	154	3	,	,	PUNCT
cana-734	154	4	f(p6	f(p6	NOUN
cana-734	154	5	(	(	PUNCT
cana-734	154	6	0	0	NUM
cana-734	154	7	)	)	PUNCT
cana-734	154	8	)	)	PUNCT
cana-734	155	1	=	=	SYM
cana-734	155	2	14	14	NUM
cana-734	155	3	,	,	PUNCT
cana-734	155	4	f(p7	f(p7	NOUN
cana-734	155	5	(	(	PUNCT
cana-734	155	6	0	0	NUM
cana-734	155	7	)	)	PUNCT
cana-734	155	8	)	)	PUNCT
cana-734	156	1	=	=	SYM
cana-734	156	2	5	5	NUM
cana-734	156	3	,	,	PUNCT
cana-734	156	4	f(p8	f(p8	NOUN
cana-734	156	5	(	(	PUNCT
cana-734	156	6	0	0	NUM
cana-734	156	7	)	)	PUNCT
cana-734	156	8	)	)	PUNCT
cana-734	157	1	=	=	SYM
cana-734	157	2	9	9	NUM
cana-734	157	3	,	,	PUNCT
cana-734	157	4	f(p9	f(p9	ADV
cana-734	157	5	(	(	PUNCT
cana-734	157	6	0	0	NUM
cana-734	157	7	)	)	PUNCT
cana-734	157	8	)	)	PUNCT
cana-734	158	1	=	=	SYM
cana-734	158	2	18	18	NUM
cana-734	158	3	,	,	PUNCT
cana-734	158	4	f(p10	f(p10	X
cana-734	158	5	(	(	PUNCT
cana-734	158	6	0	0	NUM
cana-734	158	7	)	)	PUNCT
cana-734	158	8	)	)	PUNCT
cana-734	159	1	=	=	SYM
cana-734	159	2	19	19	NUM
cana-734	159	3	,	,	PUNCT
cana-734	159	4	f(p11	f(p11	NOUN
cana-734	159	5	(	(	PUNCT
cana-734	159	6	0	0	NUM
cana-734	159	7	)	)	PUNCT
cana-734	159	8	)	)	PUNCT
cana-734	160	1	=	=	SYM
cana-734	160	2	5	5	NUM
cana-734	160	3	,	,	PUNCT
cana-734	160	4	f(p12	f(p12	NOUN
cana-734	160	5	(	(	PUNCT
cana-734	160	6	0	0	NUM
cana-734	160	7	)	)	PUNCT
cana-734	160	8	)	)	PUNCT
cana-734	161	1	=	=	PUNCT
cana-734	161	2	7	7	X
cana-734	161	3	.	.	PUNCT
cana-734	162	1	the	the	DET
cana-734	162	2	threshold	threshold	NOUN
cana-734	162	3	value	value	NOUN
cana-734	162	4	assigned	assign	VERB
cana-734	162	5	is	be	AUX
cana-734	162	6	10	10	NUM
cana-734	162	7	,	,	PUNCT
cana-734	162	8	and	and	CCONJ
cana-734	162	9	the	the	DET
cana-734	162	10	acquired	acquire	VERB
cana-734	162	11	solution	solution	NOUN
cana-734	162	12	space	space	NOUN
cana-734	162	13	is	be	AUX
cana-734	162	14	{	{	PUNCT
cana-734	162	15	f(p1	f(p1	NOUN
cana-734	162	16	(	(	PUNCT
cana-734	162	17	0	0	NUM
cana-734	162	18	)	)	PUNCT
cana-734	162	19	)	)	PUNCT
cana-734	163	1	=	=	SYM
cana-734	163	2	18	18	NUM
cana-734	163	3	,	,	PUNCT
cana-734	163	4	,	,	PUNCT
cana-734	163	5	f(p3	f(p3	X
cana-734	163	6	(	(	PUNCT
cana-734	163	7	0	0	NUM
cana-734	163	8	)	)	PUNCT
cana-734	163	9	)	)	PUNCT
cana-734	164	1	=	=	SYM
cana-734	164	2	13	13	NUM
cana-734	164	3	,	,	PUNCT
cana-734	164	4	f(p4	f(p4	X
cana-734	164	5	(	(	PUNCT
cana-734	164	6	0	0	NUM
cana-734	164	7	)	)	PUNCT
cana-734	164	8	)	)	PUNCT
cana-734	165	1	=	=	SYM
cana-734	165	2	22	22	NUM
cana-734	165	3	,	,	PUNCT
cana-734	165	4	f(p5	f(p5	NOUN
cana-734	165	5	(	(	PUNCT
cana-734	165	6	0	0	NUM
cana-734	165	7	)	)	PUNCT
cana-734	165	8	)	)	PUNCT
cana-734	166	1	=	=	SYM
cana-734	166	2	13	13	NUM
cana-734	166	3	,	,	PUNCT
cana-734	166	4	f(p6	f(p6	NOUN
cana-734	166	5	(	(	PUNCT
cana-734	166	6	0	0	NUM
cana-734	166	7	)	)	PUNCT
cana-734	166	8	)	)	PUNCT
cana-734	167	1	=	=	SYM
cana-734	167	2	14	14	NUM
cana-734	167	3	,	,	PUNCT
cana-734	167	4	f(p9	f(p9	ADV
cana-734	167	5	(	(	PUNCT
cana-734	167	6	0	0	NUM
cana-734	167	7	)	)	PUNCT
cana-734	167	8	)	)	PUNCT
cana-734	168	1	=	=	SYM
cana-734	168	2	18	18	NUM
cana-734	168	3	,	,	PUNCT
cana-734	168	4	f(p10	f(p10	X
cana-734	168	5	(	(	PUNCT
cana-734	168	6	0	0	NUM
cana-734	168	7	)	)	PUNCT
cana-734	168	8	)	)	PUNCT
cana-734	169	1	=	=	SYM
cana-734	169	2	19	19	NUM
cana-734	169	3	.	.	PUNCT
cana-734	170	1	the	the	DET
cana-734	170	2	updated	update	VERB
cana-734	170	3	value	value	NOUN
cana-734	170	4	is	be	AUX
cana-734	170	5	given	give	VERB
cana-734	170	6	as	as	ADP
cana-734	170	7	p(t+1	p(t+1	NOUN
cana-734	170	8	)	)	PUNCT
cana-734	171	1	≈	≈	PROPN
cana-734	171	2	(	(	PUNCT
cana-734	171	3	0,0.142857,0,0.142857,0,0,0.142857,0.142857,0.142857,0	0,0.142857,0,0.142857,0,0,0.142857,0.142857,0.142857,0	PROPN
cana-734	171	4	)	)	PUNCT
cana-734	171	5	.	.	PUNCT
cana-734	172	1	based	base	VERB
cana-734	172	2	on	on	ADP
cana-734	172	3	the	the	DET
cana-734	172	4	probability	probability	NOUN
cana-734	172	5	threshold	threshold	NOUN
cana-734	172	6	,	,	PUNCT
cana-734	172	7	the	the	DET
cana-734	172	8	non	non	ADJ
cana-734	172	9	-	-	ADJ
cana-734	172	10	profitable	profitable	ADJ
cana-734	172	11	itemsets	itemset	NOUN
cana-734	172	12	are	be	AUX
cana-734	172	13	eliminated	eliminate	VERB
cana-734	172	14	and	and	CCONJ
cana-734	172	15	the	the	DET
cana-734	172	16	reduced	reduced	ADJ
cana-734	172	17	set	set	NOUN
cana-734	172	18	is	be	AUX
cana-734	172	19	{	{	PUNCT
cana-734	172	20	ia	ia	PROPN
cana-734	172	21	,	,	PUNCT
cana-734	172	22	i	i	PROPN
cana-734	172	23	d	d	NOUN
cana-734	172	24	}	}	PUNCT
cana-734	172	25	,	,	PUNCT
cana-734	172	26	{	{	PUNCT
cana-734	172	27	ia	ia	PROPN
cana-734	172	28	,	,	PUNCT
cana-734	172	29	ig	ig	NOUN
cana-734	172	30	}	}	PUNCT
cana-734	172	31	,	,	PUNCT
cana-734	172	32	{	{	PUNCT
cana-734	172	33	ib	ib	X
cana-734	172	34	,	,	PUNCT
cana-734	172	35	i	i	PROPN
cana-734	172	36	d	d	PROPN
cana-734	172	37	}	}	PUNCT
cana-734	172	38	,	,	PUNCT
cana-734	172	39	{	{	PUNCT
cana-734	172	40	i	i	PROPN
cana-734	172	41	d	d	PROPN
cana-734	172	42	,	,	PUNCT
cana-734	172	43	ig	ig	PROPN
cana-734	172	44	}	}	PUNCT
cana-734	172	45	,	,	PUNCT
cana-734	172	46	{	{	PUNCT
cana-734	172	47	ie	ie	X
cana-734	172	48	,	,	PUNCT
cana-734	172	49	if	if	SCONJ
cana-734	172	50	}	}	PUNCT
cana-734	172	51	,	,	PUNCT
cana-734	172	52	{	{	PUNCT
cana-734	172	53	ie	ie	X
cana-734	172	54	,	,	PUNCT
cana-734	172	55	ig	ig	NOUN
cana-734	172	56	}	}	PUNCT
cana-734	172	57	,	,	PUNCT
cana-734	172	58	{	{	PUNCT
cana-734	172	59	if	if	SCONJ
cana-734	172	60	,	,	PUNCT
cana-734	172	61	ig	ig	PROPN
cana-734	172	62	}	}	PUNCT
cana-734	172	63	,	,	PUNCT
cana-734	172	64	{	{	PUNCT
cana-734	172	65	ia	ia	PROPN
cana-734	172	66	,	,	PUNCT
cana-734	172	67	ib	ib	PROPN
cana-734	172	68	,	,	PUNCT
cana-734	172	69	i	i	PROPN
cana-734	172	70	d	d	PROPN
cana-734	172	71	}	}	PUNCT
cana-734	172	72	,	,	PUNCT
cana-734	172	73	{	{	PUNCT
cana-734	172	74	ia	ia	PROPN
cana-734	172	75	,	,	PUNCT
cana-734	172	76	ib	ib	INTJ
cana-734	172	77	,	,	PUNCT
cana-734	172	78	ie	ie	X
cana-734	172	79	}	}	PUNCT
cana-734	172	80	,	,	PUNCT
cana-734	172	81	{	{	PUNCT
cana-734	172	82	ia	ia	PROPN
cana-734	172	83	,	,	PUNCT
cana-734	172	84	ib	ib	INTJ
cana-734	172	85	,	,	PUNCT
cana-734	172	86	if	if	SCONJ
cana-734	172	87	}	}	PUNCT
cana-734	172	88	,	,	PUNCT
cana-734	172	89	{	{	PUNCT
cana-734	172	90	ia	ia	PROPN
cana-734	172	91	,	,	PUNCT
cana-734	172	92	ib	ib	INTJ
cana-734	172	93	,	,	PUNCT
cana-734	172	94	ig	ig	PROPN
cana-734	172	95	}	}	PUNCT
cana-734	172	96	,	,	PUNCT
cana-734	172	97	{	{	PUNCT
cana-734	172	98	ia	ia	PROPN
cana-734	172	99	,	,	PUNCT
cana-734	172	100	i	i	PROPN
cana-734	172	101	d	d	PROPN
cana-734	172	102	,	,	PUNCT
cana-734	172	103	ie	ie	X
cana-734	172	104	}	}	PUNCT
cana-734	172	105	,	,	PUNCT
cana-734	172	106	{	{	PUNCT
cana-734	172	107	ia	ia	PROPN
cana-734	172	108	,	,	PUNCT
cana-734	172	109	i	i	PROPN
cana-734	172	110	d	d	PROPN
cana-734	172	111	,	,	PUNCT
cana-734	172	112	if	if	SCONJ
cana-734	172	113	}	}	PUNCT
cana-734	172	114	,	,	PUNCT
cana-734	172	115	{	{	PUNCT
cana-734	172	116	ia	ia	PROPN
cana-734	172	117	,	,	PUNCT
cana-734	172	118	i	i	PROPN
cana-734	172	119	d	d	PROPN
cana-734	172	120	,	,	PUNCT
cana-734	172	121	ig	ig	PROPN
cana-734	172	122	}	}	PUNCT
cana-734	172	123	,	,	PUNCT
cana-734	172	124	{	{	PUNCT
cana-734	172	125	ia	ia	PROPN
cana-734	172	126	,	,	PUNCT
cana-734	172	127	ie	ie	X
cana-734	172	128	,	,	PUNCT
cana-734	172	129	if	if	SCONJ
cana-734	172	130	}	}	PUNCT
cana-734	172	131	,	,	PUNCT
cana-734	172	132	{	{	PUNCT
cana-734	172	133	ia	ia	PROPN
cana-734	172	134	,	,	PUNCT
cana-734	172	135	ie	ie	X
cana-734	172	136	,	,	PUNCT
cana-734	172	137	ig	ig	NOUN
cana-734	172	138	}	}	PUNCT
cana-734	172	139	,	,	PUNCT
cana-734	172	140	{	{	PUNCT
cana-734	172	141	ia	ia	PROPN
cana-734	172	142	,	,	PUNCT
cana-734	172	143	if	if	SCONJ
cana-734	172	144	,	,	PUNCT
cana-734	172	145	ig	ig	PROPN
cana-734	172	146	}	}	PUNCT
cana-734	172	147	,	,	PUNCT
cana-734	172	148	{	{	PUNCT
cana-734	172	149	ib	ib	X
cana-734	172	150	,	,	PUNCT
cana-734	172	151	i	i	PROPN
cana-734	172	152	d	d	PROPN
cana-734	172	153	,	,	PUNCT
cana-734	172	154	ie	ie	X
cana-734	172	155	}	}	PUNCT
cana-734	172	156	,	,	PUNCT
cana-734	172	157	{	{	PUNCT
cana-734	172	158	ib	ib	X
cana-734	172	159	,	,	PUNCT
cana-734	172	160	i	i	PROPN
cana-734	172	161	d	d	PROPN
cana-734	172	162	,	,	PUNCT
cana-734	172	163	if	if	SCONJ
cana-734	172	164	}	}	PUNCT
cana-734	172	165	,	,	PUNCT
cana-734	172	166	{	{	PUNCT
cana-734	172	167	ib	ib	X
cana-734	172	168	,	,	PUNCT
cana-734	172	169	i	i	PROPN
cana-734	172	170	d	d	PROPN
cana-734	172	171	,	,	PUNCT
cana-734	172	172	ig	ig	PROPN
cana-734	172	173	}	}	PUNCT
cana-734	172	174	,	,	PUNCT
cana-734	172	175	{	{	PUNCT
cana-734	172	176	ib	ib	NOUN
cana-734	172	177	,	,	PUNCT
cana-734	172	178	ie	ie	X
cana-734	172	179	,	,	PUNCT
cana-734	172	180	ig	ig	NOUN
cana-734	172	181	}	}	PUNCT
cana-734	172	182	,	,	PUNCT
cana-734	172	183	{	{	PUNCT
cana-734	172	184	ib	ib	INTJ
cana-734	172	185	,	,	PUNCT
cana-734	172	186	if	if	SCONJ
cana-734	172	187	,	,	PUNCT
cana-734	172	188	ig	ig	PROPN
cana-734	172	189	}	}	PUNCT
cana-734	172	190	,	,	PUNCT
cana-734	172	191	{	{	PUNCT
cana-734	172	192	i	i	PROPN
cana-734	172	193	d	d	PROPN
cana-734	172	194	,	,	PUNCT
cana-734	172	195	ie	ie	X
cana-734	172	196	,	,	PUNCT
cana-734	172	197	if	if	SCONJ
cana-734	172	198	}	}	PUNCT
cana-734	172	199	,	,	PUNCT
cana-734	172	200	{	{	PUNCT
cana-734	172	201	i	i	PROPN
cana-734	172	202	d	d	PROPN
cana-734	172	203	,	,	PUNCT
cana-734	172	204	ie	ie	X
cana-734	172	205	,	,	PUNCT
cana-734	172	206	ig	ig	NOUN
cana-734	172	207	}	}	PUNCT
cana-734	172	208	,	,	PUNCT
cana-734	172	209	{	{	PUNCT
cana-734	172	210	i	i	PROPN
cana-734	172	211	d	d	PROPN
cana-734	172	212	,	,	PUNCT
cana-734	172	213	if	if	SCONJ
cana-734	172	214	,	,	PUNCT
cana-734	172	215	ig	ig	PROPN
cana-734	172	216	}	}	PUNCT
cana-734	172	217	,	,	PUNCT
cana-734	172	218	{	{	PUNCT
cana-734	172	219	ie	ie	X
cana-734	172	220	,	,	PUNCT
cana-734	172	221	if	if	SCONJ
cana-734	172	222	,	,	PUNCT
cana-734	172	223	ig	ig	PROPN
cana-734	172	224	}	}	PUNCT
cana-734	172	225	,	,	PUNCT
cana-734	172	226	{	{	PUNCT
cana-734	172	227	ia	ia	PROPN
cana-734	172	228	,	,	PUNCT
cana-734	172	229	ib	ib	PROPN
cana-734	172	230	,	,	PUNCT
cana-734	172	231	i	i	PROPN
cana-734	172	232	d	d	PROPN
cana-734	172	233	,	,	PUNCT
cana-734	172	234	ie	ie	ADV
cana-734	172	235	}	}	PUNCT
cana-734	172	236	,	,	PUNCT
cana-734	172	237	{	{	PUNCT
cana-734	172	238	ia	ia	PROPN
cana-734	172	239	,	,	PUNCT
cana-734	172	240	ib	ib	PROPN
cana-734	172	241	,	,	PUNCT
cana-734	172	242	i	i	PROPN
cana-734	172	243	d	d	PROPN
cana-734	172	244	,	,	PUNCT
cana-734	172	245	if	if	SCONJ
cana-734	172	246	}	}	PUNCT
cana-734	172	247	,	,	PUNCT
cana-734	172	248	{	{	PUNCT
cana-734	172	249	ia	ia	PROPN
cana-734	172	250	,	,	PUNCT
cana-734	172	251	ib	ib	PROPN
cana-734	172	252	,	,	PUNCT
cana-734	172	253	i	i	PROPN
cana-734	172	254	d	d	PROPN
cana-734	172	255	,	,	PUNCT
cana-734	172	256	ig	ig	PROPN
cana-734	172	257	}	}	PUNCT
cana-734	172	258	,	,	PUNCT
cana-734	172	259	{	{	PUNCT
cana-734	172	260	ia	ia	PROPN
cana-734	172	261	,	,	PUNCT
cana-734	172	262	ib	ib	INTJ
cana-734	172	263	,	,	PUNCT
cana-734	172	264	ie	ie	X
cana-734	172	265	,	,	PUNCT
cana-734	172	266	if	if	SCONJ
cana-734	172	267	}	}	PUNCT
cana-734	172	268	,	,	PUNCT
cana-734	172	269	{	{	PUNCT
cana-734	172	270	ia	ia	PROPN
cana-734	172	271	,	,	PUNCT
cana-734	172	272	ib	ib	INTJ
cana-734	172	273	,	,	PUNCT
cana-734	172	274	ie	ie	X
cana-734	172	275	,	,	PUNCT
cana-734	172	276	ig	ig	NOUN
cana-734	172	277	}	}	PUNCT
cana-734	172	278	,	,	PUNCT
cana-734	172	279	{	{	PUNCT
cana-734	172	280	ia	ia	PROPN
cana-734	172	281	,	,	PUNCT
cana-734	172	282	ib	ib	INTJ
cana-734	172	283	,	,	PUNCT
cana-734	172	284	if	if	SCONJ
cana-734	172	285	,	,	PUNCT
cana-734	172	286	ig	ig	PROPN
cana-734	172	287	}	}	PUNCT
cana-734	172	288	,	,	PUNCT
cana-734	172	289	{	{	PUNCT
cana-734	172	290	ia	ia	PROPN
cana-734	172	291	,	,	PUNCT
cana-734	172	292	i	i	PROPN
cana-734	172	293	d	d	PROPN
cana-734	172	294	,	,	PUNCT
cana-734	172	295	ie	ie	X
cana-734	172	296	,	,	PUNCT
cana-734	172	297	if	if	SCONJ
cana-734	172	298	}	}	PUNCT
cana-734	172	299	,	,	PUNCT
cana-734	172	300	{	{	PUNCT
cana-734	172	301	ia	ia	PROPN
cana-734	172	302	,	,	PUNCT
cana-734	172	303	i	i	PROPN
cana-734	172	304	d	d	PROPN
cana-734	172	305	,	,	PUNCT
cana-734	172	306	ie	ie	X
cana-734	172	307	,	,	PUNCT
cana-734	172	308	ig	ig	NOUN
cana-734	172	309	}	}	PUNCT
cana-734	172	310	,	,	PUNCT
cana-734	172	311	{	{	PUNCT
cana-734	172	312	ia	ia	PROPN
cana-734	172	313	,	,	PUNCT
cana-734	172	314	i	i	PROPN
cana-734	172	315	d	d	PROPN
cana-734	172	316	,	,	PUNCT
cana-734	172	317	if	if	SCONJ
cana-734	172	318	,	,	PUNCT
cana-734	172	319	ig	ig	PROPN
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cana-734	172	321	,	,	PUNCT
cana-734	172	322	{	{	PUNCT
cana-734	172	323	ia	ia	PROPN
cana-734	172	324	,	,	PUNCT
cana-734	172	325	ie	ie	X
cana-734	172	326	,	,	PUNCT
cana-734	172	327	if	if	SCONJ
cana-734	172	328	,	,	PUNCT
cana-734	172	329	ig	ig	PROPN
cana-734	172	330	}	}	PUNCT
cana-734	172	331	,	,	PUNCT
cana-734	172	332	{	{	PUNCT
cana-734	172	333	ib	ib	X
cana-734	172	334	,	,	PUNCT
cana-734	172	335	i	i	PROPN
cana-734	172	336	d	d	PROPN
cana-734	172	337	,	,	PUNCT
cana-734	172	338	ie	ie	X
cana-734	172	339	,	,	PUNCT
cana-734	172	340	if	if	SCONJ
cana-734	172	341	}	}	PUNCT
cana-734	172	342	,	,	PUNCT
cana-734	172	343	{	{	PUNCT
cana-734	172	344	ib	ib	X
cana-734	172	345	,	,	PUNCT
cana-734	172	346	i	i	PROPN
cana-734	172	347	d	d	PROPN
cana-734	172	348	,	,	PUNCT
cana-734	172	349	ie	ie	X
cana-734	172	350	,	,	PUNCT
cana-734	172	351	ig	ig	NOUN
cana-734	172	352	}	}	PUNCT
cana-734	172	353	,	,	PUNCT
cana-734	172	354	{	{	PUNCT
cana-734	172	355	ib	ib	X
cana-734	172	356	,	,	PUNCT
cana-734	172	357	i	i	PROPN
cana-734	172	358	d	d	PROPN
cana-734	172	359	,	,	PUNCT
cana-734	172	360	if	if	SCONJ
cana-734	172	361	,	,	PUNCT
cana-734	172	362	ig	ig	PROPN
cana-734	172	363	}	}	PUNCT
cana-734	172	364	,	,	PUNCT
cana-734	172	365	{	{	PUNCT
cana-734	172	366	ib	ib	NOUN
cana-734	172	367	,	,	PUNCT
cana-734	172	368	ie	ie	X
cana-734	172	369	,	,	PUNCT
cana-734	172	370	if	if	SCONJ
cana-734	172	371	,	,	PUNCT
cana-734	172	372	ig	ig	PROPN
cana-734	172	373	}	}	PUNCT
cana-734	172	374	,	,	PUNCT
cana-734	172	375	{	{	PUNCT
cana-734	172	376	i	i	PROPN
cana-734	172	377	d	d	PROPN
cana-734	172	378	,	,	PUNCT
cana-734	172	379	ie	ie	X
cana-734	172	380	,	,	PUNCT
cana-734	172	381	if	if	SCONJ
cana-734	172	382	,	,	PUNCT
cana-734	172	383	ig	ig	PROPN
cana-734	172	384	}	}	PUNCT
cana-734	172	385	,	,	PUNCT
cana-734	172	386	{	{	PUNCT
cana-734	172	387	ia	ia	PROPN
cana-734	172	388	,	,	PUNCT
cana-734	172	389	ib	ib	PROPN
cana-734	172	390	,	,	PUNCT
cana-734	172	391	i	i	PROPN
cana-734	172	392	d	d	PROPN
cana-734	172	393	,	,	PUNCT
cana-734	172	394	ie	ie	X
cana-734	172	395	,	,	PUNCT
cana-734	172	396	if	if	SCONJ
cana-734	172	397	}	}	PUNCT
cana-734	172	398	,	,	PUNCT
cana-734	172	399	{	{	PUNCT
cana-734	172	400	ia	ia	PROPN
cana-734	172	401	,	,	PUNCT
cana-734	172	402	ib	ib	PROPN
cana-734	172	403	,	,	PUNCT
cana-734	172	404	i	i	PROPN
cana-734	172	405	d	d	PROPN
cana-734	172	406	,	,	PUNCT
cana-734	172	407	ie	ie	X
cana-734	172	408	,	,	PUNCT
cana-734	172	409	ig	ig	NOUN
cana-734	172	410	}	}	PUNCT
cana-734	172	411	,	,	PUNCT
cana-734	172	412	{	{	PUNCT
cana-734	172	413	ia	ia	PROPN
cana-734	172	414	,	,	PUNCT
cana-734	172	415	ib	ib	PROPN
cana-734	172	416	,	,	PUNCT
cana-734	172	417	i	i	PROPN
cana-734	172	418	d	d	PROPN
cana-734	172	419	,	,	PUNCT
cana-734	172	420	if	if	SCONJ
cana-734	172	421	,	,	PUNCT
cana-734	172	422	ig	ig	PROPN
cana-734	172	423	}	}	PUNCT
cana-734	172	424	,	,	PUNCT
cana-734	172	425	{	{	PUNCT
cana-734	172	426	ia	ia	PROPN
cana-734	172	427	,	,	PUNCT
cana-734	172	428	ib	ib	INTJ
cana-734	172	429	,	,	PUNCT
cana-734	172	430	ie	ie	X
cana-734	172	431	,	,	PUNCT
cana-734	172	432	if	if	SCONJ
cana-734	172	433	,	,	PUNCT
cana-734	172	434	ig	ig	PROPN
cana-734	172	435	}	}	PUNCT
cana-734	172	436	,	,	PUNCT
cana-734	172	437	{	{	PUNCT
cana-734	172	438	ia	ia	PROPN
cana-734	172	439	,	,	PUNCT
cana-734	172	440	i	i	PROPN
cana-734	172	441	d	d	PROPN
cana-734	172	442	,	,	PUNCT
cana-734	172	443	ie	ie	X
cana-734	172	444	,	,	PUNCT
cana-734	172	445	if	if	SCONJ
cana-734	172	446	,	,	PUNCT
cana-734	172	447	ig	ig	PROPN
cana-734	172	448	}	}	PUNCT
cana-734	172	449	,	,	PUNCT
cana-734	172	450	{	{	PUNCT
cana-734	172	451	ib	ib	X
cana-734	172	452	,	,	PUNCT
cana-734	172	453	i	i	PROPN
cana-734	172	454	d	d	PROPN
cana-734	172	455	,	,	PUNCT
cana-734	172	456	ie	ie	X
cana-734	172	457	,	,	PUNCT
cana-734	172	458	if	if	SCONJ
cana-734	172	459	,	,	PUNCT
cana-734	172	460	ig	ig	PROPN
cana-734	172	461	}	}	PUNCT
cana-734	172	462	,	,	PUNCT
cana-734	172	463	{	{	PUNCT
cana-734	172	464	ia	ia	PROPN
cana-734	172	465	,	,	PUNCT
cana-734	172	466	ib	ib	PROPN
cana-734	172	467	,	,	PUNCT
cana-734	172	468	i	i	PROPN
cana-734	172	469	d	d	PROPN
cana-734	172	470	,	,	PUNCT
cana-734	172	471	ie	ie	X
cana-734	172	472	,	,	PUNCT
cana-734	172	473	if	if	SCONJ
cana-734	172	474	,	,	PUNCT
cana-734	172	475	ig	ig	NOUN
cana-734	172	476	}	}	PUNCT
cana-734	172	477	.	.	PUNCT
cana-734	173	1	3.6	3.6	NUM
cana-734	173	2	.	.	PUNCT
cana-734	174	1	iteration	iteration	NOUN
cana-734	174	2	refinement	refinement	NOUN
cana-734	174	3	the	the	DET
cana-734	174	4	iteration	iteration	NOUN
cana-734	174	5	is	be	AUX
cana-734	174	6	continued	continue	VERB
cana-734	174	7	via	via	ADP
cana-734	174	8	all	all	DET
cana-734	174	9	the	the	DET
cana-734	174	10	above	above	ADJ
cana-734	174	11	steps	step	NOUN
cana-734	174	12	for	for	ADP
cana-734	174	13	a	a	DET
cana-734	174	14	distinct	distinct	ADJ
cana-734	174	15	count	count	NOUN
cana-734	174	16	of	of	ADP
cana-734	174	17	generation	generation	NOUN
cana-734	174	18	or	or	CCONJ
cana-734	174	19	criterion	criterion	NOUN
cana-734	174	20	of	of	ADP
cana-734	174	21	convergence	convergence	NOUN
cana-734	174	22	met	meet	VERB
cana-734	174	23	.	.	PUNCT
cana-734	175	1	each	each	DET
cana-734	175	2	iteration	iteration	NOUN
cana-734	175	3	fine	fine	ADJ
cana-734	175	4	-	-	PUNCT
cana-734	175	5	tunes	tune	NOUN
cana-734	175	6	the	the	DET
cana-734	175	7	population	population	NOUN
cana-734	175	8	's	's	PART
cana-734	175	9	ability	ability	NOUN
cana-734	175	10	to	to	PART
cana-734	175	11	identify	identify	VERB
cana-734	175	12	and	and	CCONJ
cana-734	175	13	indicate	indicate	VERB
cana-734	175	14	huis	huis	PROPN
cana-734	175	15	,	,	PUNCT
cana-734	175	16	which	which	PRON
cana-734	175	17	can	can	AUX
cana-734	175	18	enhance	enhance	VERB
cana-734	175	19	the	the	DET
cana-734	175	20	overall	overall	ADJ
cana-734	175	21	performance	performance	NOUN
cana-734	175	22	of	of	ADP
cana-734	175	23	the	the	DET
cana-734	175	24	proposed	propose	VERB
cana-734	175	25	algorithm	algorithm	NOUN
cana-734	175	26	.	.	PUNCT
cana-734	176	1	the	the	DET
cana-734	176	2	process	process	NOUN
cana-734	176	3	of	of	ADP
cana-734	176	4	proposed	propose	VERB
cana-734	176	5	hceg_bfa	hceg_bfa	PUNCT
cana-734	176	6	is	be	AUX
cana-734	176	7	given	give	VERB
cana-734	176	8	in	in	ADP
cana-734	176	9	algorithm	algorithm	NOUN
cana-734	176	10	1	1	NUM
cana-734	176	11	.	.	PUNCT
cana-734	176	12	communications	communication	NOUN
cana-734	176	13	on	on	ADP
cana-734	176	14	applied	apply	VERB
cana-734	176	15	nonlinear	nonlinear	ADJ
cana-734	176	16	analysis	analysis	NOUN
cana-734	176	17	issn	issn	NOUN
cana-734	176	18	:	:	PUNCT
cana-734	176	19	1074	1074	NUM
cana-734	176	20	-	-	PUNCT
cana-734	176	21	133x	133x	NUM
cana-734	176	22	vol	vol	NOUN
cana-734	176	23	31	31	NUM
cana-734	176	24	no	no	NOUN
cana-734	176	25	.	.	PUNCT
cana-734	177	1	3s	3s	NUM
cana-734	177	2	(	(	PUNCT
cana-734	177	3	2024	2024	NUM
cana-734	177	4	)	)	PUNCT
cana-734	177	5	98	98	NUM
cana-734	177	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-734	177	7	algorithm	algorithm	NOUN
cana-734	177	8	1	1	NUM
cana-734	177	9	:	:	PUNCT
cana-734	177	10	hceg	hceg	PROPN
cana-734	177	11	-	-	PUNCT
cana-734	177	12	bfa	bfa	PROPN
cana-734	177	13	for	for	ADP
cana-734	177	14	high	high	ADJ
cana-734	177	15	utility	utility	NOUN
cana-734	177	16	itemset	itemset	VERB
cana-734	177	17	discovery	discovery	NOUN
cana-734	177	18	1	1	NUM
cana-734	177	19	.	.	PUNCT
cana-734	177	20	initializepopulation	initializepopulation	NOUN
cana-734	177	21	(	(	PUNCT
cana-734	177	22	)	)	PUNCT
cana-734	177	23	2	2	X
cana-734	177	24	.	.	X
cana-734	177	25	evaluatefitness	evaluatefitness	NOUN
cana-734	177	26	(	(	PUNCT
cana-734	177	27	)	)	PUNCT
cana-734	178	1	3	3	X
cana-734	178	2	.	.	X
cana-734	178	3	set	set	VERB
cana-734	178	4	iteration	iteration	NOUN
cana-734	178	5	=	=	SYM
cana-734	178	6	0	0	NUM
cana-734	178	7	4	4	NUM
cana-734	178	8	.	.	PUNCT
cana-734	179	1	while	while	SCONJ
cana-734	179	2	not	not	PART
cana-734	179	3	convergencecriteriamet	convergencecriteriamet	NOUN
cana-734	179	4	or	or	CCONJ
cana-734	179	5	iteration	iteration	NOUN
cana-734	179	6	<	<	X
cana-734	179	7	maxiterations	maxiteration	NOUN
cana-734	179	8	do	do	VERB
cana-734	179	9	5	5	NUM
cana-734	179	10	.	.	PUNCT
cana-734	180	1	chemotaxis	chemotaxis	ADJ
cana-734	180	2	(	(	PUNCT
cana-734	180	3	)	)	PUNCT
cana-734	180	4	6	6	NUM
cana-734	180	5	.	.	X
cana-734	181	1	reproduction	reproduction	NOUN
cana-734	181	2	(	(	PUNCT
cana-734	181	3	)	)	PUNCT
cana-734	181	4	7	7	NUM
cana-734	181	5	.	.	X
cana-734	181	6	eliminationdispersal	eliminationdispersal	ADJ
cana-734	181	7	(	(	PUNCT
cana-734	181	8	)	)	PUNCT
cana-734	181	9	8	8	NUM
cana-734	181	10	.	.	X
cana-734	181	11	evaluatefitness	evaluatefitness	NOUN
cana-734	181	12	(	(	PUNCT
cana-734	181	13	)	)	PUNCT
cana-734	181	14	9	9	X
cana-734	181	15	.	.	X
cana-734	182	1	updateprobabilitydistribution	updateprobabilitydistribution	NOUN
cana-734	182	2	(	(	PUNCT
cana-734	182	3	)	)	PUNCT
cana-734	182	4	10	10	NUM
cana-734	182	5	.	.	PUNCT
cana-734	183	1	sampling	sample	VERB
cana-734	183	2	(	(	PUNCT
cana-734	183	3	)	)	PUNCT
cana-734	183	4	11	11	NUM
cana-734	183	5	.	.	PUNCT
cana-734	184	1	increment	increment	VERB
cana-734	184	2	iteration	iteration	NOUN
cana-734	184	3	12	12	NUM
cana-734	184	4	.	.	PUNCT
cana-734	184	5	end	end	NOUN
cana-734	184	6	while	while	SCONJ
cana-734	184	7	13	13	NUM
cana-734	184	8	.	.	PUNCT
cana-734	185	1	return	return	VERB
cana-734	185	2	bestsolutionfound	bestsolutionfound	ADJ
cana-734	185	3	4	4	NUM
cana-734	185	4	.	.	NOUN
cana-734	185	5	result	result	NOUN
cana-734	185	6	and	and	CCONJ
cana-734	185	7	discussion	discussion	NOUN
cana-734	185	8	this	this	DET
cana-734	185	9	section	section	NOUN
cana-734	185	10	deals	deal	VERB
cana-734	185	11	with	with	ADP
cana-734	185	12	the	the	DET
cana-734	185	13	experimental	experimental	ADJ
cana-734	185	14	discussion	discussion	NOUN
cana-734	185	15	on	on	ADP
cana-734	185	16	diverse	diverse	ADJ
cana-734	185	17	datasets	dataset	NOUN
cana-734	185	18	,	,	PUNCT
cana-734	185	19	and	and	CCONJ
cana-734	185	20	it	it	PRON
cana-734	185	21	illustrates	illustrate	VERB
cana-734	185	22	with	with	ADP
cana-734	185	23	detailed	detailed	ADJ
cana-734	185	24	comparative	comparative	ADJ
cana-734	185	25	analysis	analysis	NOUN
cana-734	185	26	.	.	PUNCT
cana-734	186	1	the	the	DET
cana-734	186	2	description	description	NOUN
cana-734	186	3	of	of	ADP
cana-734	186	4	the	the	DET
cana-734	186	5	dataset	dataset	NOUN
cana-734	186	6	and	and	CCONJ
cana-734	186	7	experimental	experimental	ADJ
cana-734	186	8	setup	setup	NOUN
cana-734	186	9	are	be	AUX
cana-734	186	10	also	also	ADV
cana-734	186	11	discussed	discuss	VERB
cana-734	186	12	.	.	PUNCT
cana-734	187	1	the	the	DET
cana-734	187	2	proposed	propose	VERB
cana-734	187	3	hceg	hceg	PROPN
cana-734	187	4	-	-	PUNCT
cana-734	187	5	bfa	bfa	PROPN
cana-734	187	6	is	be	AUX
cana-734	187	7	executed	execute	VERB
cana-734	187	8	on	on	ADP
cana-734	187	9	four	four	NUM
cana-734	187	10	real	real	ADJ
cana-734	187	11	-	-	PUNCT
cana-734	187	12	time	time	NOUN
cana-734	187	13	and	and	CCONJ
cana-734	187	14	benchmark	benchmark	NOUN
cana-734	187	15	datasets	dataset	NOUN
cana-734	187	16	,	,	PUNCT
cana-734	187	17	namely	namely	ADV
cana-734	187	18	mushroom	mushroom	NOUN
cana-734	187	19	,	,	PUNCT
cana-734	187	20	chess	chess	NOUN
cana-734	187	21	,	,	PUNCT
cana-734	187	22	retail	retail	NOUN
cana-734	187	23	,	,	PUNCT
cana-734	187	24	and	and	CCONJ
cana-734	187	25	foodmart	foodmart	NOUN
cana-734	187	26	.	.	PUNCT
cana-734	188	1	the	the	DET
cana-734	188	2	proposed	propose	VERB
cana-734	188	3	approach	approach	NOUN
cana-734	188	4	hceg	hceg	PROPN
cana-734	188	5	-	-	PUNCT
cana-734	188	6	bfa	bfa	PROPN
cana-734	188	7	is	be	AUX
cana-734	188	8	compared	compare	VERB
cana-734	188	9	with	with	ADP
cana-734	188	10	existing	exist	VERB
cana-734	188	11	huim	huim	NOUN
cana-734	188	12	techniques	technique	NOUN
cana-734	188	13	,	,	PUNCT
cana-734	188	14	namely	namely	ADV
cana-734	188	15	huim	huim	NOUN
cana-734	188	16	-	-	NOUN
cana-734	188	17	bpso	bpso	PROPN
cana-734	189	1	[	[	X
cana-734	189	2	18	18	NUM
cana-734	189	3	]	]	PUNCT
cana-734	189	4	,	,	PUNCT
cana-734	189	5	huim	huim	NOUN
cana-734	189	6	-	-	NOUN
cana-734	189	7	hcsa	hcsa	ADJ
cana-734	190	1	[	[	X
cana-734	190	2	19	19	NUM
cana-734	190	3	]	]	PUNCT
cana-734	190	4	,	,	PUNCT
cana-734	190	5	huim	huim	PROPN
cana-734	190	6	-	-	NOUN
cana-734	190	7	ga	ga	PROPN
cana-734	191	1	[	[	X
cana-734	191	2	21	21	NUM
cana-734	191	3	]	]	PUNCT
cana-734	191	4	,	,	PUNCT
cana-734	191	5	and	and	CCONJ
cana-734	191	6	huim	huim	NOUN
cana-734	191	7	-	-	NOUN
cana-734	191	8	pso	pso	NOUN
cana-734	191	9	[	[	NOUN
cana-734	191	10	22	22	NUM
cana-734	191	11	]	]	PUNCT
cana-734	191	12	.	.	PUNCT
cana-734	192	1	4.1	4.1	NUM
cana-734	192	2	.	.	PUNCT
cana-734	192	3	dataset	dataset	VERB
cana-734	192	4	description	description	NOUN
cana-734	192	5	and	and	CCONJ
cana-734	192	6	experimental	experimental	ADJ
cana-734	192	7	setup	setup	NOUN
cana-734	192	8	the	the	DET
cana-734	192	9	proposed	propose	VERB
cana-734	192	10	and	and	CCONJ
cana-734	192	11	existing	exist	VERB
cana-734	192	12	techniques	technique	NOUN
cana-734	192	13	are	be	AUX
cana-734	192	14	implemented	implement	VERB
cana-734	192	15	on	on	ADP
cana-734	192	16	a	a	DET
cana-734	192	17	computer	computer	NOUN
cana-734	192	18	system	system	NOUN
cana-734	192	19	with	with	ADP
cana-734	192	20	cpu	cpu	NOUN
cana-734	192	21	3.600	3.600	NUM
cana-734	192	22	ghz	ghz	NOUN
cana-734	192	23	8	8	NUM
cana-734	192	24	core	core	NOUN
cana-734	192	25	and	and	CCONJ
cana-734	192	26	windows	window	NOUN
cana-734	192	27	10	10	NUM
cana-734	192	28	64	64	NUM
cana-734	192	29	gb	gb	NOUN
cana-734	192	30	ram	ram	NOUN
cana-734	192	31	with	with	ADP
cana-734	192	32	64	64	NUM
cana-734	192	33	bits	bit	NOUN
cana-734	192	34	.	.	PUNCT
cana-734	193	1	the	the	DET
cana-734	193	2	implementation	implementation	NOUN
cana-734	193	3	is	be	AUX
cana-734	193	4	carried	carry	VERB
cana-734	193	5	out	out	ADP
cana-734	193	6	in	in	ADP
cana-734	193	7	a	a	DET
cana-734	193	8	java	java	PROPN
cana-734	193	9	net	net	ADJ
cana-734	193	10	beans	beans	PROPN
cana-734	193	11	environment	environment	NOUN
cana-734	193	12	.	.	PUNCT
cana-734	194	1	the	the	DET
cana-734	194	2	research	research	NOUN
cana-734	194	3	work	work	NOUN
cana-734	194	4	utilized	utilize	VERB
cana-734	194	5	publicly	publicly	ADV
cana-734	194	6	available	available	ADJ
cana-734	194	7	and	and	CCONJ
cana-734	194	8	standard	standard	ADJ
cana-734	194	9	datasets	dataset	NOUN
cana-734	194	10	.	.	PUNCT
cana-734	195	1	the	the	DET
cana-734	195	2	dataset	dataset	VERB
cana-734	195	3	foodmart	foodmart	NOUN
cana-734	195	4	is	be	AUX
cana-734	195	5	sparse	sparse	ADJ
cana-734	195	6	,	,	PUNCT
cana-734	195	7	and	and	CCONJ
cana-734	195	8	ecommerce	ecommerce	NOUN
cana-734	195	9	is	be	AUX
cana-734	195	10	dense	dense	ADJ
cana-734	195	11	,	,	PUNCT
cana-734	195	12	with	with	ADP
cana-734	195	13	real	real	ADJ
cana-734	195	14	-	-	PUNCT
cana-734	195	15	time	time	NOUN
cana-734	195	16	utility	utility	NOUN
cana-734	195	17	values	value	NOUN
cana-734	195	18	,	,	PUNCT
cana-734	195	19	whereas	whereas	SCONJ
cana-734	195	20	the	the	DET
cana-734	195	21	remaining	remain	VERB
cana-734	195	22	holds	hold	VERB
cana-734	195	23	the	the	DET
cana-734	195	24	synthetic	synthetic	ADJ
cana-734	195	25	utility	utility	NOUN
cana-734	195	26	value	value	NOUN
cana-734	195	27	[	[	X
cana-734	195	28	25	25	NUM
cana-734	195	29	]	]	PUNCT
cana-734	195	30	.	.	PUNCT
cana-734	196	1	the	the	DET
cana-734	196	2	characteristics	characteristic	NOUN
cana-734	196	3	of	of	ADP
cana-734	196	4	the	the	DET
cana-734	196	5	dataset	dataset	NOUN
cana-734	196	6	are	be	AUX
cana-734	196	7	given	give	VERB
cana-734	196	8	in	in	ADP
cana-734	196	9	table	table	NOUN
cana-734	196	10	5	5	NUM
cana-734	196	11	.	.	PUNCT
cana-734	196	12	table	table	NOUN
cana-734	196	13	5	5	NUM
cana-734	196	14	.	.	PUNCT
cana-734	197	1	dataset	dataset	VERB
cana-734	197	2	description	description	NOUN
cana-734	197	3	dataset	dataset	NOUN
cana-734	197	4	type	type	NOUN
cana-734	197	5	average	average	ADJ
cana-734	197	6	transaction	transaction	NOUN
cana-734	197	7	length	length	NOUN
cana-734	197	8	transaction	transaction	NOUN
cana-734	197	9	item	item	NOUN
cana-734	197	10	chess	chess	NOUN
cana-734	197	11	dense	dense	ADJ
cana-734	197	12	37	37	NUM
cana-734	197	13	3,196	3,196	NUM
cana-734	197	14	75	75	NUM
cana-734	197	15	e	e	NOUN
cana-734	197	16	-	-	NOUN
cana-734	197	17	commerce	commerce	NOUN
cana-734	197	18	dense	dense	ADJ
cana-734	197	19	11.71	11.71	NUM
cana-734	197	20	14,975	14,975	NUM
cana-734	197	21	3,468	3,468	NUM
cana-734	197	22	foodmart	foodmart	NOUN
cana-734	197	23	sparse	sparse	VERB
cana-734	197	24	4.42	4.42	NUM
cana-734	197	25	4,141	4,141	NUM
cana-734	197	26	1,559	1,559	NUM
cana-734	197	27	mushroom	mushroom	NOUN
cana-734	197	28	dense	dense	ADJ
cana-734	197	29	23	23	NUM
cana-734	197	30	8,416	8,416	NUM
cana-734	197	31	119	119	NUM
cana-734	197	32	communications	communication	NOUN
cana-734	197	33	on	on	ADP
cana-734	197	34	applied	apply	VERB
cana-734	197	35	nonlinear	nonlinear	ADJ
cana-734	197	36	analysis	analysis	NOUN
cana-734	197	37	issn	issn	NOUN
cana-734	197	38	:	:	PUNCT
cana-734	197	39	1074	1074	NUM
cana-734	197	40	-	-	PUNCT
cana-734	197	41	133x	133x	NUM
cana-734	197	42	vol	vol	NOUN
cana-734	197	43	31	31	NUM
cana-734	197	44	no	no	NOUN
cana-734	197	45	.	.	PUNCT
cana-734	198	1	3s	3s	NUM
cana-734	198	2	(	(	PUNCT
cana-734	198	3	2024	2024	NUM
cana-734	198	4	)	)	PUNCT
cana-734	198	5	99	99	NUM
cana-734	198	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-734	198	7	the	the	DET
cana-734	198	8	dataset	dataset	NOUN
cana-734	198	9	utilized	utilize	VERB
cana-734	198	10	in	in	ADP
cana-734	198	11	this	this	DET
cana-734	198	12	research	research	NOUN
cana-734	198	13	is	be	AUX
cana-734	198	14	acquired	acquire	VERB
cana-734	198	15	from	from	ADP
cana-734	198	16	the	the	DET
cana-734	198	17	public	public	ADJ
cana-734	198	18	data	data	NOUN
cana-734	198	19	mining	mining	NOUN
cana-734	198	20	library	library	NOUN
cana-734	198	21	.	.	PUNCT
cana-734	199	1	the	the	DET
cana-734	199	2	transaction	transaction	NOUN
cana-734	199	3	about	about	ADP
cana-734	199	4	the	the	DET
cana-734	199	5	retail	retail	ADJ
cana-734	199	6	store	store	NOUN
cana-734	199	7	is	be	AUX
cana-734	199	8	given	give	VERB
cana-734	199	9	in	in	ADP
cana-734	199	10	the	the	DET
cana-734	199	11	foodmart	foodmart	NOUN
cana-734	199	12	dataset	dataset	NOUN
cana-734	199	13	,	,	PUNCT
cana-734	199	14	the	the	DET
cana-734	199	15	steps	step	NOUN
cana-734	199	16	involved	involve	VERB
cana-734	199	17	in	in	ADP
cana-734	199	18	the	the	DET
cana-734	199	19	chess	chess	NOUN
cana-734	199	20	game	game	NOUN
cana-734	199	21	are	be	AUX
cana-734	199	22	given	give	VERB
cana-734	199	23	in	in	ADP
cana-734	199	24	the	the	DET
cana-734	199	25	chess	chess	NOUN
cana-734	199	26	dataset	dataset	NOUN
cana-734	199	27	,	,	PUNCT
cana-734	199	28	the	the	DET
cana-734	199	29	characteristics	characteristic	NOUN
cana-734	199	30	of	of	ADP
cana-734	199	31	mushroom	mushroom	NOUN
cana-734	199	32	species	specie	NOUN
cana-734	199	33	are	be	AUX
cana-734	199	34	given	give	VERB
cana-734	199	35	in	in	ADP
cana-734	199	36	the	the	DET
cana-734	199	37	mushroom	mushroom	NOUN
cana-734	199	38	dataset	dataset	NOUN
cana-734	199	39	,	,	PUNCT
cana-734	199	40	and	and	CCONJ
cana-734	199	41	the	the	DET
cana-734	199	42	transactions	transaction	NOUN
cana-734	199	43	that	that	PRON
cana-734	199	44	happened	happen	VERB
cana-734	199	45	in	in	ADP
cana-734	199	46	the	the	DET
cana-734	199	47	online	online	ADJ
cana-734	199	48	store	store	NOUN
cana-734	199	49	are	be	AUX
cana-734	199	50	given	give	VERB
cana-734	199	51	in	in	ADP
cana-734	199	52	e	e	NOUN
cana-734	199	53	-	-	NOUN
cana-734	199	54	commerce	commerce	NOUN
cana-734	199	55	dataset	dataset	NOUN
cana-734	199	56	.	.	PUNCT
cana-734	200	1	for	for	ADP
cana-734	200	2	the	the	DET
cana-734	200	3	utility	utility	NOUN
cana-734	200	4	mining	mining	NOUN
cana-734	200	5	experiments	experiment	NOUN
cana-734	200	6	,	,	PUNCT
cana-734	200	7	the	the	DET
cana-734	200	8	termination	termination	NOUN
cana-734	200	9	criterion	criterion	NOUN
cana-734	200	10	for	for	ADP
cana-734	200	11	the	the	DET
cana-734	200	12	algorithms	algorithms	NOUN
cana-734	200	13	is	be	AUX
cana-734	200	14	assigned	assign	VERB
cana-734	200	15	as	as	ADP
cana-734	200	16	10,000	10,000	NUM
cana-734	200	17	iterations	iteration	NOUN
cana-734	200	18	,	,	PUNCT
cana-734	200	19	and	and	CCONJ
cana-734	200	20	the	the	DET
cana-734	200	21	size	size	NOUN
cana-734	200	22	of	of	ADP
cana-734	200	23	the	the	DET
cana-734	200	24	initial	initial	ADJ
cana-734	200	25	population	population	NOUN
cana-734	200	26	is	be	AUX
cana-734	200	27	given	give	VERB
cana-734	200	28	as	as	ADP
cana-734	200	29	30	30	NUM
cana-734	200	30	.	.	PUNCT
cana-734	201	1	the	the	DET
cana-734	201	2	threshold	threshold	NOUN
cana-734	201	3	value	value	NOUN
cana-734	201	4	α	α	NOUN
cana-734	201	5	is	be	AUX
cana-734	201	6	given	give	VERB
cana-734	201	7	with	with	ADP
cana-734	201	8	diverse	diverse	ADJ
cana-734	201	9	ranges	range	NOUN
cana-734	201	10	.	.	PUNCT
cana-734	202	1	4.2	4.2	NUM
cana-734	202	2	.	.	PUNCT
cana-734	202	3	performance	performance	NOUN
cana-734	202	4	metrics	metric	NOUN
cana-734	202	5	the	the	DET
cana-734	202	6	performance	performance	NOUN
cana-734	202	7	of	of	ADP
cana-734	202	8	the	the	DET
cana-734	202	9	proposed	propose	VERB
cana-734	202	10	hceg	hceg	PROPN
cana-734	202	11	-	-	PUNCT
cana-734	202	12	bfa	bfa	PROPN
cana-734	202	13	and	and	CCONJ
cana-734	202	14	existing	exist	VERB
cana-734	202	15	techniques	technique	NOUN
cana-734	202	16	,	,	PUNCT
cana-734	202	17	namely	namely	ADV
cana-734	202	18	huim	huim	NOUN
cana-734	202	19	-	-	PUNCT
cana-734	202	20	bpso	bpso	NOUN
cana-734	202	21	,	,	PUNCT
cana-734	202	22	huimhcsa	huimhcsa	PROPN
cana-734	202	23	,	,	PUNCT
cana-734	202	24	huim	huim	NOUN
cana-734	202	25	-	-	PUNCT
cana-734	202	26	ga	ga	PROPN
cana-734	202	27	,	,	PUNCT
cana-734	202	28	and	and	CCONJ
cana-734	202	29	huim	huim	NOUN
cana-734	202	30	-	-	NOUN
cana-734	202	31	pso	pso	NOUN
cana-734	202	32	,	,	PUNCT
cana-734	202	33	are	be	AUX
cana-734	202	34	evaluated	evaluate	VERB
cana-734	202	35	using	use	VERB
cana-734	202	36	the	the	DET
cana-734	202	37	performance	performance	NOUN
cana-734	202	38	metrics	metric	NOUN
cana-734	202	39	,	,	PUNCT
cana-734	202	40	namely	namely	ADV
cana-734	202	41	memory	memory	NOUN
cana-734	202	42	usage	usage	NOUN
cana-734	202	43	,	,	PUNCT
cana-734	202	44	execution	execution	NOUN
cana-734	202	45	time	time	NOUN
cana-734	202	46	,	,	PUNCT
cana-734	202	47	hui	hui	PROPN
cana-734	202	48	count	count	NOUN
cana-734	202	49	,	,	PUNCT
cana-734	202	50	and	and	CCONJ
cana-734	202	51	convergence	convergence	NOUN
cana-734	202	52	.	.	PUNCT
cana-734	203	1	the	the	DET
cana-734	203	2	amount	amount	NOUN
cana-734	203	3	of	of	ADP
cana-734	203	4	memory	memory	NOUN
cana-734	203	5	utilized	utilize	VERB
cana-734	203	6	by	by	ADP
cana-734	203	7	the	the	DET
cana-734	203	8	huim	huim	NOUN
cana-734	203	9	technique	technique	NOUN
cana-734	203	10	during	during	ADP
cana-734	203	11	the	the	DET
cana-734	203	12	process	process	NOUN
cana-734	203	13	of	of	ADP
cana-734	203	14	hui	hui	PROPN
cana-734	203	15	identification	identification	NOUN
cana-734	203	16	is	be	AUX
cana-734	203	17	stated	state	VERB
cana-734	203	18	as	as	ADP
cana-734	203	19	memory	memory	NOUN
cana-734	203	20	usage	usage	NOUN
cana-734	203	21	.	.	PUNCT
cana-734	204	1	memory	memory	NOUN
cana-734	204	2	usage	usage	NOUN
cana-734	204	3	can	can	AUX
cana-734	204	4	be	be	AUX
cana-734	204	5	measured	measure	VERB
cana-734	204	6	in	in	ADP
cana-734	204	7	megabytes	megabyte	NOUN
cana-734	204	8	and	and	CCONJ
cana-734	204	9	bytes	byte	NOUN
cana-734	204	10	.	.	PUNCT
cana-734	205	1	the	the	DET
cana-734	205	2	time	time	NOUN
cana-734	205	3	used	use	VERB
cana-734	205	4	to	to	PART
cana-734	205	5	complete	complete	VERB
cana-734	205	6	the	the	DET
cana-734	205	7	implementation	implementation	NOUN
cana-734	205	8	of	of	ADP
cana-734	205	9	huim	huim	NOUN
cana-734	205	10	algorithms	algorithm	NOUN
cana-734	205	11	to	to	PART
cana-734	205	12	retrieve	retrieve	VERB
cana-734	205	13	the	the	DET
cana-734	205	14	huis	huis	PROPN
cana-734	205	15	is	be	AUX
cana-734	205	16	termed	term	VERB
cana-734	205	17	runtime	runtime	NOUN
cana-734	205	18	.	.	PUNCT
cana-734	206	1	the	the	DET
cana-734	206	2	runtime	runtime	NOUN
cana-734	206	3	is	be	AUX
cana-734	206	4	measured	measure	VERB
cana-734	206	5	in	in	ADP
cana-734	206	6	milliseconds	millisecond	NOUN
cana-734	206	7	or	or	CCONJ
cana-734	206	8	seconds	second	NOUN
cana-734	206	9	.	.	PUNCT
cana-734	207	1	convergence	convergence	NOUN
cana-734	207	2	monitors	monitor	VERB
cana-734	207	3	the	the	DET
cana-734	207	4	performance	performance	NOUN
cana-734	207	5	nature	nature	NOUN
cana-734	207	6	of	of	ADP
cana-734	207	7	huim	huim	NOUN
cana-734	207	8	algorithms	algorithm	NOUN
cana-734	207	9	over	over	ADP
cana-734	207	10	different	different	ADJ
cana-734	207	11	iterations	iteration	NOUN
cana-734	207	12	and	and	CCONJ
cana-734	207	13	monitors	monitor	NOUN
cana-734	207	14	for	for	ADP
cana-734	207	15	change	change	NOUN
cana-734	207	16	or	or	CCONJ
cana-734	207	17	stabilized	stabilize	VERB
cana-734	207	18	performance	performance	NOUN
cana-734	207	19	where	where	SCONJ
cana-734	207	20	it	it	PRON
cana-734	207	21	reaches	reach	VERB
cana-734	207	22	some	some	DET
cana-734	207	23	even	even	ADJ
cana-734	207	24	solution	solution	NOUN
cana-734	207	25	over	over	ADP
cana-734	207	26	a	a	DET
cana-734	207	27	predefined	predefine	VERB
cana-734	207	28	count	count	NOUN
cana-734	207	29	of	of	ADP
cana-734	207	30	iterations	iteration	NOUN
cana-734	207	31	.	.	PUNCT
cana-734	208	1	the	the	DET
cana-734	208	2	count	count	NOUN
cana-734	208	3	of	of	ADP
cana-734	208	4	huis	huis	PROPN
cana-734	208	5	retrieved	retrieve	VERB
cana-734	208	6	by	by	ADP
cana-734	208	7	the	the	DET
cana-734	208	8	huim	huim	NOUN
cana-734	208	9	technique	technique	NOUN
cana-734	208	10	is	be	AUX
cana-734	208	11	recorded	record	VERB
cana-734	208	12	as	as	ADP
cana-734	208	13	hui	hui	PROPN
cana-734	208	14	count	count	PROPN
cana-734	208	15	.	.	PUNCT
cana-734	209	1	the	the	DET
cana-734	209	2	memory	memory	NOUN
cana-734	209	3	usage	usage	NOUN
cana-734	209	4	and	and	CCONJ
cana-734	209	5	runtime	runtime	NOUN
cana-734	209	6	are	be	AUX
cana-734	209	7	given	give	VERB
cana-734	209	8	in	in	ADP
cana-734	209	9	equations	equation	NOUN
cana-734	209	10	9	9	NUM
cana-734	209	11	and	and	CCONJ
cana-734	209	12	10	10	NUM
cana-734	209	13	.	.	PUNCT
cana-734	210	1	memoryusage	memoryusage	NOUN
cana-734	210	2	=	=	NOUN
cana-734	210	3	memoryafterexecution	memoryafterexecution	NOUN
cana-734	210	4	−	−	NOUN
cana-734	210	5	memorybeforexecution---------(9	memorybeforexecution---------(9	NOUN
cana-734	210	6	)	)	PUNCT
cana-734	210	7	runtime	runtime	NOUN
cana-734	210	8	=	=	NOUN
cana-734	210	9	timecompletion	timecompletion	NOUN
cana-734	210	10	−	−	PROPN
cana-734	210	11	timestart---------(10	timestart---------(10	PROPN
cana-734	210	12	)	)	PUNCT
cana-734	210	13	4.3	4.3	NUM
cana-734	210	14	.	.	PUNCT
cana-734	210	15	experimental	experimental	ADJ
cana-734	210	16	discussion	discussion	NOUN
cana-734	210	17	table	table	NOUN
cana-734	210	18	6	6	NUM
cana-734	210	19	.	.	PUNCT
cana-734	210	20	comparison	comparison	NOUN
cana-734	210	21	of	of	ADP
cana-734	210	22	runtime	runtime	NOUN
cana-734	210	23	in	in	ADP
cana-734	210	24	seconds	second	NOUN
cana-734	210	25	dataset	dataset	VERB
cana-734	210	26	minimum	minimum	NOUN
cana-734	210	27	threshold	threshold	NOUN
cana-734	210	28	value	value	NOUN
cana-734	210	29	huimpso	huimpso	ADJ
cana-734	210	30	huimbpso	huimbpso	PROPN
cana-734	210	31	huim	huim	PROPN
cana-734	210	32	-	-	PUNCT
cana-734	210	33	ga	ga	PROPN
cana-734	210	34	huimhcsa	huimhcsa	PROPN
cana-734	210	35	hceg	hceg	PROPN
cana-734	210	36	-	-	PUNCT
cana-734	210	37	bfa	bfa	PROPN
cana-734	210	38	mushroom	mushroom	NOUN
cana-734	210	39	20k	20k	NOUN
cana-734	210	40	623.56	623.56	NUM
cana-734	210	41	567.56	567.56	NUM
cana-734	210	42	453.67	453.67	NUM
cana-734	210	43	367.78	367.78	NUM
cana-734	210	44	155	155	NUM
cana-734	210	45	.	.	PUNCT
cana-734	210	46	46	46	NUM
cana-734	210	47	60k	60k	NOUN
cana-734	210	48	600.67	600.67	NUM
cana-734	210	49	483.37	483.37	NUM
cana-734	210	50	413.45	413.45	NUM
cana-734	210	51	321.67	321.67	NUM
cana-734	210	52	105.78	105.78	NUM
cana-734	210	53	100k	100k	NUM
cana-734	211	1	581.67	581.67	NUM
cana-734	211	2	442.78	442.78	NUM
cana-734	211	3	389.81	389.81	NUM
cana-734	211	4	300.67	300.67	NUM
cana-734	211	5	77.56	77.56	NUM
cana-734	211	6	140k	140k	NUM
cana-734	211	7	552.34	552.34	NUM
cana-734	211	8	418.75	418.75	NUM
cana-734	211	9	324.67	324.67	NUM
cana-734	211	10	287.56	287.56	NUM
cana-734	211	11	59.67	59.67	NUM
cana-734	211	12	180k	180k	NUM
cana-734	212	1	500.78	500.78	NUM
cana-734	213	1	387.56	387.56	NUM
cana-734	213	2	298.68	298.68	NUM
cana-734	213	3	265.78	265.78	NUM
cana-734	213	4	36.68	36.68	NUM
cana-734	213	5	220k	220k	NOUN
cana-734	213	6	473.67	473.67	NUM
cana-734	213	7	361.25	361.25	NUM
cana-734	213	8	246.87	246.87	NUM
cana-734	213	9	215.88	215.88	NUM
cana-734	213	10	30.09	30.09	NUM
cana-734	213	11	260k	260k	NUM
cana-734	213	12	423.78	423.78	NUM
cana-734	213	13	289.56	289.56	NUM
cana-734	213	14	219.56	219.56	NUM
cana-734	213	15	180.67	180.67	NUM
cana-734	213	16	27.69	27.69	NUM
cana-734	213	17	300k	300k	PROPN
cana-734	213	18	389.67	389.67	NUM
cana-734	213	19	238.76	238.76	NUM
cana-734	213	20	182.78	182.78	NUM
cana-734	213	21	154.45	154.45	NUM
cana-734	213	22	21.56	21.56	NUM
cana-734	213	23	chess	chess	NOUN
cana-734	213	24	20k	20k	NOUN
cana-734	213	25	652.87	652.87	NUM
cana-734	213	26	612.45	612.45	NUM
cana-734	213	27	586.56	586.56	NUM
cana-734	213	28	534.56	534.56	NUM
cana-734	213	29	123.67	123.67	NUM
cana-734	213	30	60k	60k	NOUN
cana-734	213	31	634.12	634.12	NUM
cana-734	213	32	594.89	594.89	NUM
cana-734	213	33	542.78	542.78	NUM
cana-734	213	34	489.46	489.46	NUM
cana-734	213	35	108.56	108.56	NUM
cana-734	213	36	100k	100k	NUM
cana-734	213	37	587.32	587.32	NUM
cana-734	213	38	563.94	563.94	NUM
cana-734	213	39	512.56	512.56	NUM
cana-734	213	40	432.78	432.78	NUM
cana-734	213	41	99.56	99.56	NUM
cana-734	213	42	140k	140k	NUM
cana-734	213	43	521.78	521.78	NUM
cana-734	213	44	512.56	512.56	NUM
cana-734	213	45	498.45	498.45	NUM
cana-734	213	46	400.77	400.77	NUM
cana-734	213	47	69.46	69.46	NUM
cana-734	213	48	180k	180k	NUM
cana-734	213	49	457.12	457.12	NUM
cana-734	213	50	467.89	467.89	NUM
cana-734	213	51	453.67	453.67	NUM
cana-734	213	52	352.45	352.45	NUM
cana-734	213	53	53.79	53.79	NUM
cana-734	213	54	220k	220k	PROPN
cana-734	213	55	387.98	387.98	NUM
cana-734	213	56	368.67	368.67	NUM
cana-734	213	57	356.23	356.23	NUM
cana-734	213	58	319.78	319.78	NUM
cana-734	213	59	44.56	44.56	NUM
cana-734	213	60	260k	260k	NUM
cana-734	213	61	341.98	341.98	NUM
cana-734	213	62	311.87	311.87	NUM
cana-734	213	63	289.56	289.56	NUM
cana-734	213	64	253.56	253.56	NUM
cana-734	213	65	39.73	39.73	NUM
cana-734	213	66	300k	300k	PROPN
cana-734	213	67	318.9	318.9	NUM
cana-734	213	68	298.92	298.92	NUM
cana-734	213	69	252.89	252.89	NUM
cana-734	213	70	214.46	214.46	NUM
cana-734	213	71	34.89	34.89	NUM
cana-734	213	72	340k	340k	NUM
cana-734	213	73	256.98	256.98	NUM
cana-734	213	74	251.78	251.78	NUM
cana-734	213	75	229.78	229.78	NUM
cana-734	213	76	177.56	177.56	NUM
cana-734	213	77	31.45	31.45	NUM
cana-734	213	78	380k	380k	NUM
cana-734	213	79	213.78	213.78	NUM
cana-734	213	80	198.67	198.67	NUM
cana-734	213	81	186.76	186.76	NUM
cana-734	213	82	143.56	143.56	NUM
cana-734	213	83	29.56	29.56	NUM
cana-734	213	84	communications	communication	NOUN
cana-734	213	85	on	on	ADP
cana-734	213	86	applied	apply	VERB
cana-734	213	87	nonlinear	nonlinear	ADJ
cana-734	213	88	analysis	analysis	NOUN
cana-734	213	89	issn	issn	NOUN
cana-734	213	90	:	:	PUNCT
cana-734	213	91	1074	1074	NUM
cana-734	213	92	-	-	PUNCT
cana-734	213	93	133x	133x	NUM
cana-734	213	94	vol	vol	NOUN
cana-734	213	95	31	31	NUM
cana-734	213	96	no	no	NOUN
cana-734	213	97	.	.	PUNCT
cana-734	214	1	3s	3s	NUM
cana-734	214	2	(	(	PUNCT
cana-734	214	3	2024	2024	NUM
cana-734	214	4	)	)	PUNCT
cana-734	214	5	100	100	NUM
cana-734	214	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-734	214	7	400k	400k	NUM
cana-734	214	8	190.56	190.56	NUM
cana-734	214	9	182.56	182.56	NUM
cana-734	214	10	181.45	181.45	NUM
cana-734	214	11	136.67	136.67	NUM
cana-734	214	12	25.56	25.56	NUM
cana-734	214	13	foodmart	foodmart	NOUN
cana-734	214	14	2.5k	2.5k	NOUN
cana-734	214	15	38.56	38.56	NUM
cana-734	214	16	14.99	14.99	NUM
cana-734	214	17	21.56	21.56	NUM
cana-734	214	18	33.56	33.56	NUM
cana-734	214	19	5.02	5.02	NUM
cana-734	214	20	3.5k	3.5k	NUM
cana-734	214	21	33.45	33.45	NUM
cana-734	214	22	15.09	15.09	NUM
cana-734	214	23	21.62	21.62	NUM
cana-734	214	24	35.2	35.2	NUM
cana-734	214	25	5.12	5.12	NUM
cana-734	214	26	4.5k	4.5k	NUM
cana-734	214	27	29.45	29.45	NUM
cana-734	214	28	15.24	15.24	NUM
cana-734	214	29	22.67	22.67	NUM
cana-734	214	30	36.9	36.9	NUM
cana-734	214	31	5.2	5.2	NUM
cana-734	214	32	5.5k	5.5k	NUM
cana-734	214	33	28.09	28.09	NUM
cana-734	214	34	15.39	15.39	NUM
cana-734	214	35	23.1	23.1	NUM
cana-734	214	36	37.56	37.56	NUM
cana-734	214	37	5.4	5.4	NUM
cana-734	214	38	6.5k	6.5k	NUM
cana-734	214	39	26.67	26.67	NUM
cana-734	214	40	15.45	15.45	NUM
cana-734	214	41	23.89	23.89	NUM
cana-734	214	42	37.98	37.98	NUM
cana-734	214	43	5.61	5.61	NUM
cana-734	214	44	7.5k	7.5k	NUM
cana-734	214	45	25.98	25.98	NUM
cana-734	214	46	15.57	15.57	NUM
cana-734	214	47	24.32	24.32	NUM
cana-734	214	48	39.12	39.12	NUM
cana-734	214	49	5.7	5.7	NUM
cana-734	214	50	8.5k	8.5k	NUM
cana-734	214	51	24.67	24.67	NUM
cana-734	214	52	15.62	15.62	NUM
cana-734	214	53	24.81	24.81	NUM
cana-734	214	54	39.76	39.76	NUM
cana-734	214	55	5.75	5.75	NUM
cana-734	214	56	9.5k	9.5k	NUM
cana-734	214	57	23.45	23.45	NUM
cana-734	214	58	15.69	15.69	NUM
cana-734	214	59	25.12	25.12	NUM
cana-734	214	60	39.93	39.93	NUM
cana-734	214	61	5.79	5.79	NUM
cana-734	214	62	10.5k	10.5k	NUM
cana-734	214	63	21.56	21.56	NUM
cana-734	214	64	15.81	15.81	NUM
cana-734	214	65	26.34	26.34	NUM
cana-734	214	66	41.23	41.23	NUM
cana-734	214	67	5.85	5.85	NUM
cana-734	214	68	11.5k	11.5k	NUM
cana-734	214	69	19.56	19.56	NUM
cana-734	214	70	15.91	15.91	NUM
cana-734	214	71	27.45	27.45	NUM
cana-734	214	72	43.45	43.45	NUM
cana-734	214	73	5.99	5.99	NUM
cana-734	214	74	12.5k	12.5k	NUM
cana-734	214	75	17.45	17.45	NUM
cana-734	214	76	16	16	NUM
cana-734	214	77	28.46	28.46	NUM
cana-734	214	78	44.67	44.67	NUM
cana-734	214	79	6.08	6.08	NUM
cana-734	214	80	e	e	NOUN
cana-734	214	81	-	-	NOUN
cana-734	214	82	commerce	commerce	NOUN
cana-734	214	83	20k	20k	NOUN
cana-734	214	84	62.556	62.556	NUM
cana-734	214	85	51.016	51.016	NUM
cana-734	214	86	66.149	66.149	NUM
cana-734	214	87	59.3297	59.3297	NUM
cana-734	214	88	26.664	26.664	NUM
cana-734	214	89	60k	60k	NOUN
cana-734	214	90	62.575	62.575	NUM
cana-734	214	91	57.682	57.682	NUM
cana-734	214	92	62.289	62.289	NUM
cana-734	214	93	52.2134	52.2134	NUM
cana-734	214	94	27.473	27.473	NUM
cana-734	214	95	100k	100k	NUM
cana-734	214	96	73.184	73.184	NUM
cana-734	214	97	44.156	44.156	NUM
cana-734	214	98	58.714	58.714	NUM
cana-734	214	99	59.1536	59.1536	NUM
cana-734	214	100	25.369	25.369	NUM
cana-734	214	101	140k	140k	NUM
cana-734	214	102	63.327	63.327	NUM
cana-734	214	103	50.892	50.892	NUM
cana-734	214	104	71.082	71.082	NUM
cana-734	214	105	56.3317	56.3317	NUM
cana-734	214	106	29.251	29.251	NUM
cana-734	214	107	180k	180k	NUM
cana-734	214	108	66.841	66.841	NUM
cana-734	214	109	54.086	54.086	NUM
cana-734	214	110	60.505	60.505	NUM
cana-734	214	111	68.0221	68.0221	NUM
cana-734	214	112	27.844	27.844	NUM
cana-734	214	113	220k	220k	NOUN
cana-734	214	114	62.517	62.517	NUM
cana-734	215	1	61.454	61.454	NUM
cana-734	215	2	64.586	64.586	NUM
cana-734	215	3	59.0026	59.0026	NUM
cana-734	215	4	27.162	27.162	NUM
cana-734	215	5	260k	260k	NUM
cana-734	215	6	78.799	78.799	NUM
cana-734	215	7	71.512	71.512	NUM
cana-734	215	8	67.086	67.086	NUM
cana-734	215	9	59.9599	59.9599	NUM
cana-734	215	10	26.080	26.080	NUM
cana-734	215	11	300k	300k	PROPN
cana-734	215	12	60.199	60.199	NUM
cana-734	215	13	65.371	65.371	NUM
cana-734	215	14	70.741	70.741	NUM
cana-734	215	15	53.1328	53.1328	NUM
cana-734	215	16	25.946	25.946	NUM
cana-734	215	17	340k	340k	NUM
cana-734	215	18	75.103	75.103	NUM
cana-734	215	19	44.088	44.088	NUM
cana-734	215	20	61.258	61.258	NUM
cana-734	215	21	53.3603	53.3603	NUM
cana-734	215	22	29.769	29.769	NUM
cana-734	215	23	380k	380k	NUM
cana-734	215	24	81.897	81.897	NUM
cana-734	215	25	57.864	57.864	NUM
cana-734	215	26	58.193	58.193	NUM
cana-734	215	27	49.3999	49.3999	NUM
cana-734	216	1	26.702	26.702	NUM
cana-734	216	2	400k	400k	NUM
cana-734	216	3	77.449	77.449	NUM
cana-734	216	4	50.640	50.640	NUM
cana-734	216	5	51.588	51.588	NUM
cana-734	216	6	53.9557	53.9557	NUM
cana-734	216	7	25.324	25.324	NUM
cana-734	216	8	figure	figure	NOUN
cana-734	216	9	1	1	NUM
cana-734	216	10	.	.	PUNCT
cana-734	216	11	comparison	comparison	NOUN
cana-734	216	12	of	of	ADP
cana-734	216	13	performance	performance	NOUN
cana-734	216	14	of	of	ADP
cana-734	216	15	runtime	runtime	NOUN
cana-734	216	16	for	for	ADP
cana-734	216	17	different	different	ADJ
cana-734	216	18	datasets	dataset	NOUN
cana-734	216	19	with	with	ADP
cana-734	216	20	minimum	minimum	ADJ
cana-734	216	21	threshold	threshold	NOUN
cana-734	216	22	values	value	NOUN
cana-734	216	23	after	after	ADP
cana-734	216	24	analyzing	analyze	VERB
cana-734	216	25	the	the	DET
cana-734	216	26	average	average	ADJ
cana-734	216	27	runtimes	runtime	NOUN
cana-734	216	28	across	across	ADP
cana-734	216	29	various	various	ADJ
cana-734	216	30	minimum	minimum	ADJ
cana-734	216	31	threshold	threshold	NOUN
cana-734	216	32	values	value	NOUN
cana-734	216	33	for	for	ADP
cana-734	216	34	each	each	DET
cana-734	216	35	algorithm	algorithm	NOUN
cana-734	216	36	across	across	ADP
cana-734	216	37	all	all	DET
cana-734	216	38	datasets	dataset	NOUN
cana-734	217	1	,	,	PUNCT
cana-734	217	2	the	the	DET
cana-734	217	3	results	result	NOUN
cana-734	217	4	indicate	indicate	VERB
cana-734	217	5	notable	notable	ADJ
cana-734	217	6	differences	difference	NOUN
cana-734	217	7	in	in	ADP
cana-734	217	8	their	their	PRON
cana-734	217	9	performance	performance	NOUN
cana-734	217	10	.	.	PUNCT
cana-734	218	1	on	on	ADP
cana-734	218	2	average	average	ADJ
cana-734	218	3	,	,	PUNCT
cana-734	218	4	hcegcommunications	hcegcommunication	NOUN
cana-734	218	5	on	on	ADP
cana-734	218	6	applied	apply	VERB
cana-734	218	7	nonlinear	nonlinear	ADJ
cana-734	218	8	analysis	analysis	NOUN
cana-734	218	9	issn	issn	NOUN
cana-734	218	10	:	:	PUNCT
cana-734	218	11	1074	1074	NUM
cana-734	218	12	-	-	PUNCT
cana-734	218	13	133x	133x	NUM
cana-734	218	14	vol	vol	NOUN
cana-734	218	15	31	31	NUM
cana-734	218	16	no	no	NOUN
cana-734	218	17	.	.	PUNCT
cana-734	219	1	3s	3s	NUM
cana-734	219	2	(	(	PUNCT
cana-734	219	3	2024	2024	NUM
cana-734	219	4	)	)	PUNCT
cana-734	219	5	101	101	NUM
cana-734	219	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-734	219	7	bfa	bfa	PROPN
cana-734	219	8	exhibited	exhibit	VERB
cana-734	219	9	the	the	DET
cana-734	219	10	fastest	fast	ADJ
cana-734	219	11	execution	execution	NOUN
cana-734	219	12	time	time	NOUN
cana-734	219	13	,	,	PUNCT
cana-734	219	14	with	with	ADP
cana-734	219	15	an	an	DET
cana-734	219	16	average	average	ADJ
cana-734	219	17	runtime	runtime	NOUN
cana-734	219	18	of	of	ADP
cana-734	219	19	25.48	25.48	NUM
cana-734	219	20	seconds	second	NOUN
cana-734	219	21	across	across	ADP
cana-734	219	22	all	all	DET
cana-734	219	23	datasets	dataset	NOUN
cana-734	219	24	.	.	PUNCT
cana-734	220	1	huim	huim	NOUN
cana-734	220	2	-	-	PUNCT
cana-734	220	3	bpso	bpso	PROPN
cana-734	220	4	followed	follow	VERB
cana-734	220	5	closely	closely	ADV
cana-734	220	6	behind	behind	ADV
cana-734	220	7	with	with	ADP
cana-734	220	8	an	an	DET
cana-734	220	9	average	average	ADJ
cana-734	220	10	runtime	runtime	NOUN
cana-734	220	11	of	of	ADP
cana-734	220	12	45.24	45.24	NUM
cana-734	220	13	seconds	second	NOUN
cana-734	220	14	,	,	PUNCT
cana-734	220	15	while	while	SCONJ
cana-734	220	16	huim	huim	NOUN
cana-734	220	17	-	-	PUNCT
cana-734	220	18	hcsa	hcsa	ADJ
cana-734	220	19	and	and	CCONJ
cana-734	220	20	huim	huim	NOUN
cana-734	220	21	-	-	PUNCT
cana-734	220	22	pso	pso	NOUN
cana-734	220	23	showed	show	VERB
cana-734	220	24	slightly	slightly	ADV
cana-734	220	25	longer	long	ADJ
cana-734	220	26	average	average	ADJ
cana-734	220	27	runtimes	runtime	NOUN
cana-734	220	28	of	of	ADP
cana-734	220	29	47.92	47.92	NUM
cana-734	220	30	and	and	CCONJ
cana-734	220	31	48.97	48.97	NUM
cana-734	220	32	seconds	second	NOUN
cana-734	220	33	,	,	PUNCT
cana-734	220	34	respectively	respectively	ADV
cana-734	220	35	.	.	PUNCT
cana-734	221	1	huim	huim	PROPN
cana-734	221	2	-	-	PUNCT
cana-734	221	3	ga	ga	PROPN
cana-734	221	4	demonstrated	demonstrate	VERB
cana-734	221	5	the	the	DET
cana-734	221	6	most	most	ADV
cana-734	221	7	extended	extended	ADJ
cana-734	221	8	average	average	ADJ
cana-734	221	9	runtime	runtime	NOUN
cana-734	221	10	among	among	ADP
cana-734	221	11	the	the	DET
cana-734	221	12	algorithms	algorithm	NOUN
cana-734	221	13	,	,	PUNCT
cana-734	221	14	with	with	ADP
cana-734	221	15	an	an	DET
cana-734	221	16	average	average	NOUN
cana-734	221	17	of	of	ADP
cana-734	221	18	51.69	51.69	NUM
cana-734	221	19	seconds	second	NOUN
cana-734	221	20	.	.	PUNCT
cana-734	222	1	the	the	DET
cana-734	222	2	comparative	comparative	ADJ
cana-734	222	3	analysis	analysis	NOUN
cana-734	222	4	further	far	ADV
cana-734	222	5	revealed	reveal	VERB
cana-734	222	6	that	that	SCONJ
cana-734	222	7	hceg	hceg	PROPN
cana-734	222	8	-	-	PUNCT
cana-734	222	9	bfa	bfa	PROPN
cana-734	222	10	consistently	consistently	ADV
cana-734	222	11	outperformed	outperform	VERB
cana-734	222	12	other	other	ADJ
cana-734	222	13	algorithms	algorithm	NOUN
cana-734	222	14	across	across	ADP
cana-734	222	15	all	all	DET
cana-734	222	16	three	three	NUM
cana-734	222	17	datasets	dataset	NOUN
cana-734	222	18	,	,	PUNCT
cana-734	222	19	displaying	display	VERB
cana-734	222	20	the	the	DET
cana-734	222	21	shortest	short	ADJ
cana-734	222	22	average	average	ADJ
cana-734	222	23	runtime	runtime	NOUN
cana-734	222	24	.	.	PUNCT
cana-734	223	1	specifically	specifically	ADV
cana-734	223	2	,	,	PUNCT
cana-734	223	3	in	in	ADP
cana-734	223	4	the	the	DET
cana-734	223	5	chess	chess	NOUN
cana-734	223	6	dataset	dataset	NOUN
cana-734	223	7	,	,	PUNCT
cana-734	223	8	hceg	hceg	PROPN
cana-734	223	9	-	-	PUNCT
cana-734	223	10	bfa	bfa	PROPN
cana-734	223	11	showcased	showcase	VERB
cana-734	223	12	the	the	DET
cana-734	223	13	lowest	low	ADJ
cana-734	223	14	average	average	ADJ
cana-734	223	15	runtime	runtime	NOUN
cana-734	223	16	,	,	PUNCT
cana-734	223	17	closely	closely	ADV
cana-734	223	18	trailed	trail	VERB
cana-734	223	19	by	by	ADP
cana-734	223	20	huim	huim	NOUN
cana-734	223	21	-	-	PUNCT
cana-734	223	22	hcsa	hcsa	ADJ
cana-734	223	23	and	and	CCONJ
cana-734	223	24	huim	huim	NOUN
cana-734	223	25	-	-	NOUN
cana-734	223	26	bpso	bpso	NOUN
cana-734	223	27	.	.	PUNCT
cana-734	224	1	these	these	DET
cana-734	224	2	findings	finding	NOUN
cana-734	224	3	suggest	suggest	VERB
cana-734	224	4	that	that	SCONJ
cana-734	224	5	hceg	hceg	PROPN
cana-734	224	6	-	-	PUNCT
cana-734	224	7	bfa	bfa	PROPN
cana-734	224	8	stands	stand	VERB
cana-734	224	9	out	out	ADP
cana-734	224	10	as	as	ADP
cana-734	224	11	the	the	DET
cana-734	224	12	most	most	ADV
cana-734	224	13	efficient	efficient	ADJ
cana-734	224	14	algorithm	algorithm	NOUN
cana-734	224	15	for	for	ADP
cana-734	224	16	association	association	NOUN
cana-734	224	17	rule	rule	NOUN
cana-734	224	18	mining	mining	NOUN
cana-734	224	19	tasks	task	NOUN
cana-734	224	20	across	across	ADP
cana-734	224	21	diverse	diverse	ADJ
cana-734	224	22	datasets	dataset	NOUN
cana-734	224	23	,	,	PUNCT
cana-734	224	24	offering	offer	VERB
cana-734	224	25	significantly	significantly	ADV
cana-734	224	26	faster	fast	ADJ
cana-734	224	27	execution	execution	NOUN
cana-734	224	28	times	time	NOUN
cana-734	224	29	compared	compare	VERB
cana-734	224	30	to	to	ADP
cana-734	224	31	other	other	ADJ
cana-734	224	32	algorithms	algorithm	NOUN
cana-734	224	33	.	.	PUNCT
cana-734	225	1	figure	figure	NOUN
cana-734	225	2	2	2	NUM
cana-734	225	3	.	.	PUNCT
cana-734	225	4	comparison	comparison	NOUN
cana-734	225	5	of	of	ADP
cana-734	225	6	discovered	discover	VERB
cana-734	225	7	huis	huis	NOUN
cana-734	225	8	for	for	ADP
cana-734	225	9	instance	instance	NOUN
cana-734	225	10	,	,	PUNCT
cana-734	225	11	at	at	ADP
cana-734	225	12	a	a	DET
cana-734	225	13	20k	20k	ADJ
cana-734	225	14	minimum	minimum	NOUN
cana-734	225	15	threshold	threshold	NOUN
cana-734	225	16	,	,	PUNCT
cana-734	225	17	hceg	hceg	PROPN
cana-734	225	18	-	-	PUNCT
cana-734	225	19	bfa	bfa	PROPN
cana-734	225	20	produces	produce	VERB
cana-734	225	21	13,272	13,272	NUM
cana-734	225	22	frequent	frequent	ADJ
cana-734	225	23	itemsets	itemset	NOUN
cana-734	225	24	,	,	PUNCT
cana-734	225	25	compared	compare	VERB
cana-734	225	26	to	to	ADP
cana-734	225	27	7,558	7,558	NUM
cana-734	225	28	by	by	ADP
cana-734	225	29	huim	huim	NOUN
cana-734	225	30	-	-	NOUN
cana-734	225	31	pso	pso	NOUN
cana-734	225	32	,	,	PUNCT
cana-734	225	33	69,759	69,759	NUM
cana-734	225	34	by	by	ADP
cana-734	225	35	huim	huim	NOUN
cana-734	225	36	-	-	NOUN
cana-734	225	37	bpso	bpso	PROPN
cana-734	225	38	,	,	PUNCT
cana-734	225	39	38,682	38,682	NUM
cana-734	225	40	by	by	ADP
cana-734	225	41	huim	huim	NOUN
cana-734	225	42	-	-	PROPN
cana-734	225	43	ga	ga	PROPN
cana-734	225	44	,	,	PUNCT
cana-734	225	45	and	and	CCONJ
cana-734	225	46	19,653	19,653	NUM
cana-734	225	47	by	by	ADP
cana-734	225	48	huim	huim	NOUN
cana-734	225	49	-	-	NOUN
cana-734	225	50	hcsa	hcsa	ADJ
cana-734	225	51	.	.	PUNCT
cana-734	226	1	this	this	DET
cana-734	226	2	trend	trend	NOUN
cana-734	226	3	persists	persist	VERB
cana-734	226	4	across	across	ADP
cana-734	226	5	varying	vary	VERB
cana-734	226	6	thresholds	threshold	NOUN
cana-734	226	7	,	,	PUNCT
cana-734	226	8	indicating	indicate	VERB
cana-734	226	9	the	the	DET
cana-734	226	10	superior	superior	ADJ
cana-734	226	11	performance	performance	NOUN
cana-734	226	12	of	of	ADP
cana-734	226	13	hceg	hceg	PROPN
cana-734	226	14	-	-	PUNCT
cana-734	226	15	bfa	bfa	PROPN
cana-734	226	16	in	in	ADP
cana-734	226	17	terms	term	NOUN
cana-734	226	18	of	of	ADP
cana-734	226	19	both	both	DET
cana-734	226	20	efficiency	efficiency	NOUN
cana-734	226	21	and	and	CCONJ
cana-734	226	22	hui	hui	PROPN
cana-734	226	23	count	count	NOUN
cana-734	226	24	.	.	PUNCT
cana-734	227	1	similarly	similarly	ADV
cana-734	227	2	,	,	PUNCT
cana-734	227	3	in	in	ADP
cana-734	227	4	the	the	DET
cana-734	227	5	chess	chess	NOUN
cana-734	227	6	dataset	dataset	NOUN
cana-734	227	7	,	,	PUNCT
cana-734	227	8	hceg	hceg	PROPN
cana-734	227	9	-	-	PUNCT
cana-734	227	10	bfa	bfa	PROPN
cana-734	227	11	outperforms	outperform	VERB
cana-734	227	12	other	other	ADJ
cana-734	227	13	algorithms	algorithm	NOUN
cana-734	227	14	in	in	ADP
cana-734	227	15	runtime	runtime	NOUN
cana-734	227	16	efficiency	efficiency	NOUN
cana-734	227	17	while	while	SCONJ
cana-734	227	18	generating	generate	VERB
cana-734	227	19	competitive	competitive	ADJ
cana-734	227	20	hui	hui	PROPN
cana-734	227	21	counts	count	NOUN
cana-734	227	22	.	.	PUNCT
cana-734	228	1	for	for	ADP
cana-734	228	2	example	example	NOUN
cana-734	228	3	,	,	PUNCT
cana-734	228	4	at	at	ADP
cana-734	228	5	a	a	DET
cana-734	228	6	20k	20k	ADJ
cana-734	228	7	minimum	minimum	NOUN
cana-734	228	8	threshold	threshold	NOUN
cana-734	228	9	,	,	PUNCT
cana-734	228	10	hceg	hceg	PROPN
cana-734	228	11	-	-	PUNCT
cana-734	228	12	bfa	bfa	PROPN
cana-734	228	13	produces	produce	VERB
cana-734	228	14	19,844	19,844	NUM
cana-734	228	15	frequent	frequent	ADJ
cana-734	228	16	itemsets	itemset	NOUN
cana-734	228	17	,	,	PUNCT
cana-734	228	18	compared	compare	VERB
cana-734	228	19	to	to	ADP
cana-734	228	20	6,941	6,941	NUM
cana-734	228	21	by	by	ADP
cana-734	228	22	huimpso	huimpso	ADJ
cana-734	228	23	,	,	PUNCT
cana-734	228	24	117,381	117,381	NUM
cana-734	228	25	by	by	ADP
cana-734	228	26	huim	huim	NOUN
cana-734	228	27	-	-	NOUN
cana-734	228	28	bpso	bpso	PROPN
cana-734	228	29	,	,	PUNCT
cana-734	228	30	89,276	89,276	NUM
cana-734	228	31	by	by	ADP
cana-734	228	32	huim	huim	NOUN
cana-734	228	33	-	-	PROPN
cana-734	228	34	ga	ga	PROPN
cana-734	228	35	,	,	PUNCT
cana-734	228	36	and	and	CCONJ
cana-734	228	37	79,674	79,674	NUM
cana-734	228	38	by	by	ADP
cana-734	228	39	huim	huim	NOUN
cana-734	228	40	-	-	PUNCT
cana-734	228	41	hcsa	hcsa	ADJ
cana-734	228	42	.	.	PUNCT
cana-734	229	1	hceg	hceg	PROPN
cana-734	229	2	-	-	PUNCT
cana-734	229	3	bfa	bfa	PROPN
cana-734	229	4	consistently	consistently	ADV
cana-734	229	5	exhibits	exhibit	VERB
cana-734	229	6	the	the	DET
cana-734	229	7	lowest	low	ADJ
cana-734	229	8	memory	memory	NOUN
cana-734	229	9	consumption	consumption	NOUN
cana-734	229	10	across	across	ADP
cana-734	229	11	mushroom	mushroom	NOUN
cana-734	229	12	,	,	PUNCT
cana-734	229	13	foodmart	foodmart	NOUN
cana-734	229	14	,	,	PUNCT
cana-734	229	15	and	and	CCONJ
cana-734	229	16	ecommerce	ecommerce	NOUN
cana-734	229	17	datasets	dataset	NOUN
cana-734	229	18	,	,	PUNCT
cana-734	229	19	with	with	ADP
cana-734	229	20	values	value	NOUN
cana-734	229	21	between	between	ADP
cana-734	229	22	82.94	82.94	NUM
cana-734	229	23	mb	mb	NOUN
cana-734	229	24	to	to	ADP
cana-734	229	25	98.91	98.91	NUM
cana-734	229	26	mb	mb	ADP
cana-734	229	27	,	,	PUNCT
cana-734	229	28	25.12	25.12	NUM
cana-734	229	29	mb	mb	NOUN
cana-734	229	30	to	to	ADP
cana-734	229	31	76.11	76.11	NUM
cana-734	229	32	mb	mb	NOUN
cana-734	229	33	,	,	PUNCT
cana-734	229	34	and	and	CCONJ
cana-734	229	35	43.84	43.84	NUM
cana-734	229	36	mb	mb	NOUN
cana-734	229	37	to	to	ADP
cana-734	229	38	269.02	269.02	NUM
cana-734	229	39	mb	mb	ADP
cana-734	229	40	respectively	respectively	ADV
cana-734	229	41	,	,	PUNCT
cana-734	229	42	while	while	SCONJ
cana-734	229	43	maintaining	maintain	VERB
cana-734	229	44	competitive	competitive	ADJ
cana-734	229	45	hui	hui	PROPN
cana-734	229	46	counts	count	NOUN
cana-734	229	47	and	and	CCONJ
cana-734	229	48	runtime	runtime	NOUN
cana-734	229	49	efficiency	efficiency	NOUN
cana-734	229	50	,	,	PUNCT
cana-734	229	51	underscoring	underscore	VERB
cana-734	229	52	its	its	PRON
cana-734	229	53	robust	robust	ADJ
cana-734	229	54	performance	performance	NOUN
cana-734	229	55	.	.	PUNCT
cana-734	230	1	communications	communication	NOUN
cana-734	230	2	on	on	ADP
cana-734	230	3	applied	apply	VERB
cana-734	230	4	nonlinear	nonlinear	ADJ
cana-734	230	5	analysis	analysis	NOUN
cana-734	230	6	issn	issn	NOUN
cana-734	230	7	:	:	PUNCT
cana-734	230	8	1074	1074	NUM
cana-734	230	9	-	-	PUNCT
cana-734	230	10	133x	133x	NUM
cana-734	230	11	vol	vol	NOUN
cana-734	230	12	31	31	NUM
cana-734	230	13	no	no	NOUN
cana-734	230	14	.	.	PUNCT
cana-734	231	1	3s	3s	NUM
cana-734	231	2	(	(	PUNCT
cana-734	231	3	2024	2024	NUM
cana-734	231	4	)	)	PUNCT
cana-734	231	5	102	102	NUM
cana-734	231	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-734	231	7	figure	figure	NOUN
cana-734	231	8	3	3	NUM
cana-734	231	9	.	.	NOUN
cana-734	231	10	comparison	comparison	NOUN
cana-734	231	11	of	of	ADP
cana-734	231	12	memory	memory	NOUN
cana-734	231	13	usage	usage	NOUN
cana-734	231	14	analyzing	analyzing	NOUN
cana-734	231	15	memory	memory	NOUN
cana-734	231	16	consumption	consumption	NOUN
cana-734	231	17	across	across	ADP
cana-734	231	18	diverse	diverse	ADJ
cana-734	231	19	datasets	dataset	NOUN
cana-734	231	20	and	and	CCONJ
cana-734	231	21	algorithms	algorithm	NOUN
cana-734	231	22	reveals	reveal	VERB
cana-734	231	23	notable	notable	ADJ
cana-734	231	24	efficiency	efficiency	NOUN
cana-734	231	25	and	and	CCONJ
cana-734	231	26	performance	performance	NOUN
cana-734	231	27	.	.	PUNCT
cana-734	232	1	for	for	ADP
cana-734	232	2	all	all	DET
cana-734	232	3	datasets	dataset	NOUN
cana-734	232	4	,	,	PUNCT
cana-734	232	5	the	the	DET
cana-734	232	6	hybridized	hybridized	PROPN
cana-734	232	7	cross	cross	PROPN
cana-734	232	8	entropy	entropy	PROPN
cana-734	232	9	assisted	assist	VERB
cana-734	232	10	genetic	genetic	ADJ
cana-734	232	11	algorithm	algorithm	NOUN
cana-734	232	12	with	with	ADP
cana-734	232	13	bacterial	bacterial	ADJ
cana-734	232	14	foraging	forage	VERB
cana-734	232	15	algorithm	algorithm	NOUN
cana-734	232	16	(	(	PUNCT
cana-734	232	17	hceg	hceg	PROPN
cana-734	232	18	-	-	PUNCT
cana-734	232	19	bfa	bfa	PROPN
cana-734	232	20	)	)	PUNCT
cana-734	232	21	consistently	consistently	ADV
cana-734	232	22	shows	show	VERB
cana-734	232	23	lower	low	ADJ
cana-734	232	24	memory	memory	NOUN
cana-734	232	25	utilization	utilization	NOUN
cana-734	232	26	compared	compare	VERB
cana-734	232	27	to	to	ADP
cana-734	232	28	particle	particle	NOUN
cana-734	232	29	swarm	swarm	NOUN
cana-734	232	30	optimization	optimization	NOUN
cana-734	232	31	(	(	PUNCT
cana-734	232	32	pso	pso	NOUN
cana-734	232	33	)	)	PUNCT
cana-734	232	34	,	,	PUNCT
cana-734	232	35	binary	binary	ADJ
cana-734	232	36	particle	particle	NOUN
cana-734	232	37	swarm	swarm	NOUN
cana-734	232	38	optimization	optimization	NOUN
cana-734	232	39	(	(	PUNCT
cana-734	232	40	bpso	bpso	NOUN
cana-734	232	41	)	)	PUNCT
cana-734	232	42	,	,	PUNCT
cana-734	232	43	genetic	genetic	ADJ
cana-734	232	44	algorithm	algorithm	NOUN
cana-734	232	45	(	(	PUNCT
cana-734	232	46	ga	ga	NOUN
cana-734	232	47	)	)	PUNCT
cana-734	232	48	,	,	PUNCT
cana-734	232	49	and	and	CCONJ
cana-734	232	50	hybrid	hybrid	ADJ
cana-734	232	51	crossover	crossover	NOUN
cana-734	232	52	-	-	PUNCT
cana-734	232	53	based	base	VERB
cana-734	232	54	semi	semi	ADJ
cana-734	232	55	-	-	ADJ
cana-734	232	56	genetic	genetic	ADJ
cana-734	232	57	algorithm	algorithm	NOUN
cana-734	232	58	(	(	PUNCT
cana-734	232	59	hcsa	hcsa	PROPN
cana-734	232	60	)	)	PUNCT
cana-734	232	61	.	.	PUNCT
cana-734	233	1	hceg	hceg	PROPN
cana-734	233	2	-	-	PUNCT
cana-734	233	3	bfa	bfa	PROPN
cana-734	233	4	maintains	maintain	VERB
cana-734	233	5	memory	memory	NOUN
cana-734	233	6	consumption	consumption	NOUN
cana-734	233	7	below	below	ADP
cana-734	233	8	100	100	NUM
cana-734	233	9	mb	mb	ADV
cana-734	233	10	across	across	ADP
cana-734	233	11	the	the	DET
cana-734	233	12	mushroom	mushroom	NOUN
cana-734	233	13	,	,	PUNCT
cana-734	233	14	foodmart	foodmart	NOUN
cana-734	233	15	,	,	PUNCT
cana-734	233	16	and	and	CCONJ
cana-734	233	17	e	e	NOUN
cana-734	233	18	-	-	NOUN
cana-734	233	19	commerce	commerce	NOUN
cana-734	233	20	datasets	dataset	NOUN
cana-734	233	21	.	.	PUNCT
cana-734	234	1	in	in	ADP
cana-734	234	2	the	the	DET
cana-734	234	3	mushroom	mushroom	NOUN
cana-734	234	4	dataset	dataset	NOUN
cana-734	234	5	,	,	PUNCT
cana-734	234	6	hceg	hceg	PROPN
cana-734	234	7	-	-	PUNCT
cana-734	234	8	bfa	bfa	PROPN
cana-734	234	9	’s	’s	PART
cana-734	234	10	memory	memory	NOUN
cana-734	234	11	values	value	NOUN
cana-734	234	12	range	range	VERB
cana-734	234	13	from	from	ADP
cana-734	234	14	82.94	82.94	NUM
cana-734	234	15	mb	mb	NOUN
cana-734	234	16	to	to	ADP
cana-734	234	17	98.91	98.91	NUM
cana-734	234	18	mb	mb	ADP
cana-734	234	19	;	;	PUNCT
cana-734	234	20	in	in	ADP
cana-734	234	21	foodmart	foodmart	NOUN
cana-734	234	22	,	,	PUNCT
cana-734	234	23	25.12	25.12	NUM
cana-734	234	24	mb	mb	NOUN
cana-734	234	25	to	to	ADP
cana-734	234	26	76.11	76.11	NUM
cana-734	234	27	mb	mb	NOUN
cana-734	234	28	;	;	PUNCT
cana-734	234	29	and	and	CCONJ
cana-734	234	30	in	in	ADP
cana-734	234	31	e	e	NOUN
cana-734	234	32	-	-	NOUN
cana-734	234	33	commerce	commerce	NOUN
cana-734	234	34	,	,	PUNCT
cana-734	234	35	43.84	43.84	NUM
cana-734	234	36	mb	mb	NOUN
cana-734	234	37	to	to	ADP
cana-734	234	38	269.02	269.02	NUM
cana-734	234	39	mb	mb	NOUN
cana-734	234	40	,	,	PUNCT
cana-734	234	41	highlighting	highlight	VERB
cana-734	234	42	its	its	PRON
cana-734	234	43	effectiveness	effectiveness	NOUN
cana-734	234	44	in	in	ADP
cana-734	234	45	memory	memory	NOUN
cana-734	234	46	optimization	optimization	NOUN
cana-734	234	47	.	.	PUNCT
cana-734	235	1	5	5	X
cana-734	235	2	.	.	X
cana-734	235	3	conclusion	conclusion	NOUN
cana-734	235	4	cross	cross	VERB
cana-734	235	5	entropy	entropy	PROPN
cana-734	235	6	-	-	PUNCT
cana-734	235	7	assisted	assist	VERB
cana-734	235	8	metaheuristic	metaheuristic	ADJ
cana-734	235	9	optimization	optimization	NOUN
cana-734	235	10	,	,	PUNCT
cana-734	235	11	specifically	specifically	ADV
cana-734	235	12	hceg	hceg	PROPN
cana-734	235	13	-	-	PUNCT
cana-734	235	14	bfa	bfa	PROPN
cana-734	235	15	,	,	PUNCT
cana-734	235	16	has	have	AUX
cana-734	235	17	proven	prove	VERB
cana-734	235	18	to	to	PART
cana-734	235	19	be	be	AUX
cana-734	235	20	highly	highly	ADV
cana-734	235	21	effective	effective	ADJ
cana-734	235	22	for	for	ADP
cana-734	235	23	high	high	ADJ
cana-734	235	24	utility	utility	NOUN
cana-734	235	25	itemset	itemset	NOUN
cana-734	235	26	mining	mining	NOUN
cana-734	235	27	(	(	PUNCT
cana-734	235	28	huim	huim	NOUN
cana-734	235	29	)	)	PUNCT
cana-734	235	30	across	across	ADP
cana-734	235	31	various	various	ADJ
cana-734	235	32	transactional	transactional	ADJ
cana-734	235	33	databases	database	NOUN
cana-734	235	34	.	.	PUNCT
cana-734	236	1	our	our	PRON
cana-734	236	2	analysis	analysis	NOUN
cana-734	236	3	of	of	ADP
cana-734	236	4	datasets	dataset	NOUN
cana-734	236	5	like	like	ADP
cana-734	236	6	mushroom	mushroom	NOUN
cana-734	236	7	,	,	PUNCT
cana-734	236	8	chess	chess	NOUN
cana-734	236	9	,	,	PUNCT
cana-734	236	10	foodmart	foodmart	NOUN
cana-734	236	11	,	,	PUNCT
cana-734	236	12	and	and	CCONJ
cana-734	236	13	e	e	X
cana-734	236	14	-	-	NOUN
cana-734	236	15	commerce	commerce	NOUN
cana-734	236	16	indicates	indicate	VERB
cana-734	236	17	that	that	SCONJ
cana-734	236	18	hceg	hceg	PROPN
cana-734	236	19	-	-	PUNCT
cana-734	236	20	bfa	bfa	PROPN
cana-734	236	21	consistently	consistently	ADV
cana-734	236	22	exhibits	exhibit	VERB
cana-734	236	23	superior	superior	ADJ
cana-734	236	24	performance	performance	NOUN
cana-734	236	25	in	in	ADP
cana-734	236	26	terms	term	NOUN
cana-734	236	27	of	of	ADP
cana-734	236	28	memory	memory	NOUN
cana-734	236	29	efficiency	efficiency	NOUN
cana-734	236	30	and	and	CCONJ
cana-734	236	31	runtime	runtime	NOUN
cana-734	236	32	compared	compare	VERB
cana-734	236	33	to	to	ADP
cana-734	236	34	other	other	ADJ
cana-734	236	35	algorithms	algorithm	NOUN
cana-734	236	36	such	such	ADJ
cana-734	236	37	as	as	ADP
cana-734	236	38	pso	pso	NOUN
cana-734	236	39	,	,	PUNCT
cana-734	236	40	bpso	bpso	NOUN
cana-734	236	41	,	,	PUNCT
cana-734	236	42	ga	ga	PROPN
cana-734	236	43	,	,	PUNCT
cana-734	236	44	and	and	CCONJ
cana-734	236	45	hcsa	hcsa	PROPN
cana-734	236	46	.	.	PUNCT
cana-734	237	1	notably	notably	ADV
cana-734	237	2	,	,	PUNCT
cana-734	237	3	hceg	hceg	PROPN
cana-734	237	4	-	-	PUNCT
cana-734	237	5	bfa	bfa	PROPN
cana-734	237	6	maintains	maintain	VERB
cana-734	237	7	memory	memory	NOUN
cana-734	237	8	consumption	consumption	NOUN
cana-734	237	9	under	under	ADP
cana-734	237	10	100	100	NUM
cana-734	237	11	mb	mb	NOUN
cana-734	237	12	in	in	ADP
cana-734	237	13	all	all	DET
cana-734	237	14	examined	examine	VERB
cana-734	237	15	datasets	dataset	NOUN
cana-734	237	16	,	,	PUNCT
cana-734	237	17	showcasing	showcase	VERB
cana-734	237	18	its	its	PRON
cana-734	237	19	ability	ability	NOUN
cana-734	237	20	to	to	PART
cana-734	237	21	manage	manage	VERB
cana-734	237	22	resources	resource	NOUN
cana-734	237	23	effectively	effectively	ADV
cana-734	237	24	.	.	PUNCT
cana-734	238	1	this	this	DET
cana-734	238	2	robustness	robustness	NOUN
cana-734	238	3	makes	make	VERB
cana-734	238	4	it	it	PRON
cana-734	238	5	an	an	DET
cana-734	238	6	ideal	ideal	ADJ
cana-734	238	7	candidate	candidate	NOUN
cana-734	238	8	for	for	ADP
cana-734	238	9	real	real	ADJ
cana-734	238	10	-	-	PUNCT
cana-734	238	11	world	world	NOUN
cana-734	238	12	applications	application	NOUN
cana-734	238	13	where	where	SCONJ
cana-734	238	14	computational	computational	ADJ
cana-734	238	15	efficiency	efficiency	NOUN
cana-734	238	16	is	be	AUX
cana-734	238	17	critical	critical	ADJ
cana-734	238	18	.	.	PUNCT
cana-734	239	1	the	the	DET
cana-734	239	2	consistent	consistent	ADJ
cana-734	239	3	performance	performance	NOUN
cana-734	239	4	of	of	ADP
cana-734	239	5	hceg	hceg	PROPN
cana-734	239	6	-	-	PUNCT
cana-734	239	7	bfa	bfa	PROPN
cana-734	239	8	across	across	ADP
cana-734	239	9	diverse	diverse	ADJ
cana-734	239	10	datasets	dataset	NOUN
cana-734	239	11	underscores	underscore	VERB
cana-734	239	12	its	its	PRON
cana-734	239	13	versatility	versatility	NOUN
cana-734	239	14	and	and	CCONJ
cana-734	239	15	potential	potential	NOUN
cana-734	239	16	as	as	ADP
cana-734	239	17	a	a	DET
cana-734	239	18	powerful	powerful	ADJ
cana-734	239	19	tool	tool	NOUN
cana-734	239	20	in	in	ADP
cana-734	239	21	the	the	DET
cana-734	239	22	domain	domain	NOUN
cana-734	239	23	of	of	ADP
cana-734	239	24	huim	huim	NOUN
cana-734	239	25	.	.	PUNCT
cana-734	240	1	future	future	ADJ
cana-734	240	2	work	work	NOUN
cana-734	240	3	could	could	AUX
cana-734	240	4	focus	focus	VERB
cana-734	240	5	on	on	ADP
cana-734	240	6	integrating	integrate	VERB
cana-734	240	7	association	association	NOUN
cana-734	240	8	rule	rule	NOUN
cana-734	240	9	generation	generation	NOUN
cana-734	240	10	with	with	ADP
cana-734	240	11	huim	huim	NOUN
cana-734	240	12	,	,	PUNCT
cana-734	240	13	leveraging	leverage	VERB
cana-734	240	14	hceg	hceg	PROPN
cana-734	240	15	-	-	PUNCT
cana-734	240	16	bfa	bfa	PROPN
cana-734	240	17	to	to	PART
cana-734	240	18	not	not	PART
cana-734	240	19	only	only	ADV
cana-734	240	20	identify	identify	VERB
cana-734	240	21	high	high	ADJ
cana-734	240	22	utility	utility	NOUN
cana-734	240	23	itemsets	itemset	NOUN
cana-734	240	24	but	but	CCONJ
cana-734	240	25	also	also	ADV
cana-734	240	26	derive	derive	VERB
cana-734	240	27	meaningful	meaningful	ADJ
cana-734	240	28	rules	rule	NOUN
cana-734	240	29	,	,	PUNCT
cana-734	240	30	thereby	thereby	ADV
cana-734	240	31	enhancing	enhance	VERB
cana-734	240	32	its	its	PRON
cana-734	240	33	applicability	applicability	NOUN
cana-734	240	34	in	in	ADP
cana-734	240	35	decision	decision	NOUN
cana-734	240	36	-	-	PUNCT
cana-734	240	37	making	make	VERB
cana-734	240	38	processes	process	NOUN
cana-734	240	39	.	.	PUNCT
cana-734	241	1	reference	reference	NOUN
cana-734	241	2	communications	communication	NOUN
cana-734	241	3	on	on	ADP
cana-734	241	4	applied	apply	VERB
cana-734	241	5	nonlinear	nonlinear	ADJ
cana-734	241	6	analysis	analysis	NOUN
cana-734	241	7	issn	issn	NOUN
cana-734	241	8	:	:	PUNCT
cana-734	241	9	1074	1074	NUM
cana-734	241	10	-	-	PUNCT
cana-734	241	11	133x	133x	NUM
cana-734	241	12	vol	vol	NOUN
cana-734	241	13	31	31	NUM
cana-734	241	14	no	no	NOUN
cana-734	241	15	.	.	PUNCT
cana-734	242	1	3s	3s	NUM
cana-734	242	2	(	(	PUNCT
cana-734	242	3	2024	2024	NUM
cana-734	242	4	)	)	PUNCT
cana-734	242	5	103	103	NUM
cana-734	242	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-734	243	1	[	[	X
cana-734	243	2	1	1	NUM
cana-734	243	3	]	]	X
cana-734	243	4	chen	chen	PROPN
cana-734	243	5	,	,	PUNCT
cana-734	243	6	j.	j.	PROPN
cana-734	243	7	,	,	PUNCT
cana-734	243	8	yang	yang	PROPN
cana-734	243	9	,	,	PUNCT
cana-734	243	10	s.	s.	PROPN
cana-734	243	11	,	,	PUNCT
cana-734	243	12	ding	ding	PROPN
cana-734	243	13	,	,	PUNCT
cana-734	243	14	w.	w.	PROPN
cana-734	243	15	,	,	PUNCT
cana-734	243	16	li	li	PROPN
cana-734	243	17	,	,	PUNCT
cana-734	243	18	p.	p.	PROPN
cana-734	243	19	,	,	PUNCT
cana-734	243	20	liu	liu	PROPN
cana-734	243	21	,	,	PUNCT
cana-734	243	22	a.	a.	PROPN
cana-734	243	23	,	,	PUNCT
cana-734	243	24	zhang	zhang	PROPN
cana-734	243	25	,	,	PUNCT
cana-734	243	26	h.	h.	PROPN
cana-734	243	27	,	,	PUNCT
cana-734	243	28	&	&	CCONJ
cana-734	243	29	li	li	PROPN
cana-734	243	30	,	,	PUNCT
cana-734	243	31	t.	t.	PROPN
cana-734	243	32	(	(	PUNCT
cana-734	243	33	2024	2024	NUM
cana-734	243	34	)	)	PUNCT
cana-734	243	35	.	.	PUNCT
cana-734	244	1	incremental	incremental	ADJ
cana-734	244	2	high	high	ADJ
cana-734	244	3	average	average	ADJ
cana-734	244	4	-	-	PUNCT
cana-734	244	5	utility	utility	NOUN
cana-734	244	6	itemset	itemset	ADJ
cana-734	244	7	mining	mining	NOUN
cana-734	244	8	:	:	PUNCT
cana-734	244	9	survey	survey	NOUN
cana-734	244	10	and	and	CCONJ
cana-734	244	11	challenges	challenge	NOUN
cana-734	244	12	.	.	PUNCT
cana-734	245	1	scientific	scientific	ADJ
cana-734	245	2	reports	report	NOUN
cana-734	245	3	,	,	PUNCT
cana-734	245	4	14(1	14(1	NUM
cana-734	245	5	)	)	PUNCT
cana-734	245	6	,	,	PUNCT
cana-734	245	7	9924	9924	NUM
cana-734	245	8	.	.	PUNCT
cana-734	246	1	[	[	X
cana-734	246	2	2	2	NUM
cana-734	246	3	]	]	X
cana-734	246	4	cheng	cheng	PROPN
cana-734	246	5	,	,	PUNCT
cana-734	246	6	z.	z.	PROPN
cana-734	246	7	,	,	PUNCT
cana-734	246	8	fang	fang	PROPN
cana-734	246	9	,	,	PUNCT
cana-734	246	10	w.	w.	PROPN
cana-734	246	11	,	,	PUNCT
cana-734	246	12	shen	shen	PROPN
cana-734	246	13	,	,	PUNCT
cana-734	246	14	w.	w.	PROPN
cana-734	246	15	,	,	PUNCT
cana-734	246	16	lin	lin	PROPN
cana-734	246	17	,	,	PUNCT
cana-734	246	18	j.	j.	PROPN
cana-734	246	19	c.	c.	PROPN
cana-734	246	20	w.	w.	PROPN
cana-734	246	21	,	,	PUNCT
cana-734	246	22	&	&	CCONJ
cana-734	246	23	yuan	yuan	PROPN
cana-734	246	24	,	,	PUNCT
cana-734	246	25	b.	b.	PROPN
cana-734	246	26	(	(	PUNCT
cana-734	246	27	2023	2023	NUM
cana-734	246	28	)	)	PUNCT
cana-734	246	29	.	.	PUNCT
cana-734	247	1	an	an	DET
cana-734	247	2	efficient	efficient	ADJ
cana-734	247	3	utility	utility	NOUN
cana-734	247	4	-	-	PUNCT
cana-734	247	5	list	list	NOUN
cana-734	247	6	based	base	VERB
cana-734	247	7	high	high	ADJ
cana-734	247	8	-	-	PUNCT
cana-734	247	9	utility	utility	NOUN
cana-734	247	10	itemset	itemset	NOUN
cana-734	247	11	mining	mining	NOUN
cana-734	247	12	algorithm	algorithm	NOUN
cana-734	247	13	.	.	PUNCT
cana-734	248	1	applied	apply	VERB
cana-734	248	2	intelligence	intelligence	NOUN
cana-734	248	3	,	,	PUNCT
cana-734	248	4	53(6	53(6	PROPN
cana-734	248	5	)	)	PUNCT
cana-734	248	6	,	,	PUNCT
cana-734	248	7	6992	6992	NUM
cana-734	248	8	-	-	SYM
cana-734	248	9	7006	7006	NUM
cana-734	248	10	.	.	PUNCT
cana-734	249	1	[	[	X
cana-734	249	2	3	3	NUM
cana-734	249	3	]	]	X
cana-734	249	4	haipeng	haipeng	X
cana-734	249	5	,	,	PUNCT
cana-734	249	6	j.	j.	PROPN
cana-734	249	7	,	,	PUNCT
cana-734	249	8	guoqing	guoqing	NOUN
cana-734	249	9	,	,	PUNCT
cana-734	249	10	w.	w.	PROPN
cana-734	249	11	,	,	PUNCT
cana-734	249	12	mengdan	mengdan	PROPN
cana-734	249	13	,	,	PUNCT
cana-734	249	14	s.	s.	PROPN
cana-734	249	15	,	,	PUNCT
cana-734	249	16	feng	feng	PROPN
cana-734	249	17	,	,	PUNCT
cana-734	249	18	l.	l.	PROPN
cana-734	249	19	,	,	PUNCT
cana-734	249	20	yunfei	yunfei	PROPN
cana-734	249	21	,	,	PUNCT
cana-734	249	22	s.	s.	PROPN
cana-734	249	23	,	,	PUNCT
cana-734	249	24	&	&	CCONJ
cana-734	249	25	wei	wei	PROPN
cana-734	249	26	,	,	PUNCT
cana-734	249	27	f.	f.	PROPN
cana-734	249	28	(	(	PUNCT
cana-734	249	29	2024	2024	NUM
cana-734	249	30	)	)	PUNCT
cana-734	249	31	.	.	PUNCT
cana-734	249	32	phui	phui	PROPN
cana-734	249	33	-	-	PROPN
cana-734	249	34	ga	ga	PROPN
cana-734	249	35	:	:	PUNCT
cana-734	249	36	gpu	gpu	NOUN
cana-734	249	37	-	-	PUNCT
cana-734	249	38	based	base	VERB
cana-734	249	39	efficiency	efficiency	NOUN
cana-734	249	40	evolutionary	evolutionary	ADJ
cana-734	249	41	algorithm	algorithm	NOUN
cana-734	249	42	for	for	ADP
cana-734	249	43	mining	mine	VERB
cana-734	249	44	high	high	ADJ
cana-734	249	45	utility	utility	NOUN
cana-734	249	46	itemsets	itemset	NOUN
cana-734	249	47	.	.	PUNCT
cana-734	250	1	journal	journal	NOUN
cana-734	250	2	of	of	ADP
cana-734	250	3	systems	system	NOUN
cana-734	250	4	engineering	engineering	NOUN
cana-734	250	5	and	and	CCONJ
cana-734	250	6	electronics	electronic	NOUN
cana-734	250	7	.	.	PUNCT
cana-734	251	1	[	[	X
cana-734	251	2	4	4	NUM
cana-734	251	3	]	]	PUNCT
cana-734	251	4	tharini	tharini	NOUN
cana-734	251	5	,	,	PUNCT
cana-734	251	6	v.	v.	PROPN
cana-734	251	7	j.	j.	PROPN
cana-734	251	8	,	,	PUNCT
cana-734	251	9	&	&	CCONJ
cana-734	251	10	shivakumar	shivakumar	PROPN
cana-734	251	11	,	,	PUNCT
cana-734	251	12	b.	b.	PROPN
cana-734	251	13	l.	l.	PROPN
cana-734	251	14	(	(	PUNCT
cana-734	251	15	2022	2022	NUM
cana-734	251	16	)	)	PUNCT
cana-734	251	17	.	.	PUNCT
cana-734	252	1	high	high	ADJ
cana-734	252	2	-	-	PUNCT
cana-734	252	3	utility	utility	NOUN
cana-734	252	4	itemset	itemset	ADJ
cana-734	252	5	mining	mining	NOUN
cana-734	252	6	:	:	PUNCT
cana-734	252	7	fundamentals	fundamental	NOUN
cana-734	252	8	,	,	PUNCT
cana-734	252	9	properties	property	NOUN
cana-734	252	10	,	,	PUNCT
cana-734	252	11	techniques	technique	NOUN
cana-734	252	12	and	and	CCONJ
cana-734	252	13	research	research	NOUN
cana-734	252	14	scope	scope	NOUN
cana-734	252	15	.	.	PUNCT
cana-734	253	1	in	in	ADP
cana-734	253	2	computational	computational	ADJ
cana-734	253	3	intelligence	intelligence	NOUN
cana-734	253	4	and	and	CCONJ
cana-734	253	5	data	datum	NOUN
cana-734	253	6	sciences	science	NOUN
cana-734	253	7	(	(	PUNCT
cana-734	253	8	pp	pp	ADJ
cana-734	253	9	.	.	PUNCT
cana-734	253	10	195	195	NUM
cana-734	253	11	-	-	SYM
cana-734	253	12	210	210	NUM
cana-734	253	13	)	)	PUNCT
cana-734	253	14	.	.	PUNCT
cana-734	254	1	crc	crc	PROPN
cana-734	254	2	press	press	PROPN
cana-734	254	3	.	.	PUNCT
cana-734	255	1	[	[	X
cana-734	255	2	5	5	NUM
cana-734	255	3	]	]	X
cana-734	255	4	gao	gao	PROPN
cana-734	255	5	,	,	PUNCT
cana-734	255	6	z.	z.	PROPN
cana-734	255	7	,	,	PUNCT
cana-734	255	8	han	han	PROPN
cana-734	255	9	,	,	PUNCT
cana-734	255	10	m.	m.	NOUN
cana-734	255	11	,	,	PUNCT
cana-734	255	12	liu	liu	PROPN
cana-734	255	13	,	,	PUNCT
cana-734	255	14	s.	s.	PROPN
cana-734	255	15	,	,	PUNCT
cana-734	255	16	li	li	PROPN
cana-734	255	17	,	,	PUNCT
cana-734	255	18	a.	a.	PROPN
cana-734	255	19	,	,	PUNCT
cana-734	255	20	&	&	CCONJ
cana-734	255	21	mu	mu	PROPN
cana-734	255	22	,	,	PUNCT
cana-734	255	23	d.	d.	PROPN
cana-734	255	24	(	(	PUNCT
cana-734	255	25	2023	2023	NUM
cana-734	255	26	)	)	PUNCT
cana-734	255	27	.	.	PUNCT
cana-734	256	1	survey	survey	NOUN
cana-734	256	2	of	of	ADP
cana-734	256	3	high	high	ADJ
cana-734	256	4	utility	utility	NOUN
cana-734	256	5	itemset	itemset	VERB
cana-734	256	6	mining	mining	NOUN
cana-734	256	7	methods	method	NOUN
cana-734	256	8	based	base	VERB
cana-734	256	9	on	on	ADP
cana-734	256	10	intelligent	intelligent	ADJ
cana-734	256	11	optimization	optimization	NOUN
cana-734	256	12	algorithm	algorithm	NOUN
cana-734	256	13	.	.	PUNCT
cana-734	257	1	journal	journal	PROPN
cana-734	257	2	of	of	ADP
cana-734	257	3	computer	computer	NOUN
cana-734	257	4	applications	application	NOUN
cana-734	257	5	,	,	PUNCT
cana-734	257	6	43(6	43(6	NOUN
cana-734	257	7	)	)	PUNCT
cana-734	257	8	,	,	PUNCT
cana-734	257	9	1676	1676	NUM
cana-734	257	10	.	.	PUNCT
cana-734	258	1	[	[	X
cana-734	258	2	6	6	NUM
cana-734	258	3	]	]	X
cana-734	258	4	chen	chen	PROPN
cana-734	258	5	,	,	PUNCT
cana-734	258	6	j.	j.	PROPN
cana-734	258	7	,	,	PUNCT
cana-734	258	8	yang	yang	PROPN
cana-734	258	9	,	,	PUNCT
cana-734	258	10	s.	s.	PROPN
cana-734	258	11	,	,	PUNCT
cana-734	258	12	ding	ding	PROPN
cana-734	258	13	,	,	PUNCT
cana-734	258	14	w.	w.	PROPN
cana-734	258	15	,	,	PUNCT
cana-734	258	16	li	li	PROPN
cana-734	258	17	,	,	PUNCT
cana-734	258	18	p.	p.	PROPN
cana-734	258	19	,	,	PUNCT
cana-734	258	20	liu	liu	PROPN
cana-734	258	21	,	,	PUNCT
cana-734	258	22	a.	a.	PROPN
cana-734	258	23	,	,	PUNCT
cana-734	258	24	zhang	zhang	PROPN
cana-734	258	25	,	,	PUNCT
cana-734	258	26	h.	h.	PROPN
cana-734	258	27	,	,	PUNCT
cana-734	258	28	&	&	CCONJ
cana-734	258	29	li	li	PROPN
cana-734	258	30	,	,	PUNCT
cana-734	258	31	t.	t.	PROPN
cana-734	258	32	(	(	PUNCT
cana-734	258	33	2024	2024	NUM
cana-734	258	34	)	)	PUNCT
cana-734	258	35	.	.	PUNCT
cana-734	259	1	incremental	incremental	ADJ
cana-734	259	2	high	high	ADJ
cana-734	259	3	average	average	ADJ
cana-734	259	4	-	-	PUNCT
cana-734	259	5	utility	utility	NOUN
cana-734	259	6	itemset	itemset	ADJ
cana-734	259	7	mining	mining	NOUN
cana-734	259	8	:	:	PUNCT
cana-734	259	9	survey	survey	NOUN
cana-734	259	10	and	and	CCONJ
cana-734	259	11	challenges	challenge	NOUN
cana-734	259	12	.	.	PUNCT
cana-734	260	1	scientific	scientific	ADJ
cana-734	260	2	reports	report	NOUN
cana-734	260	3	,	,	PUNCT
cana-734	260	4	14(1	14(1	NUM
cana-734	260	5	)	)	PUNCT
cana-734	260	6	,	,	PUNCT
cana-734	260	7	9924	9924	NUM
cana-734	260	8	.	.	PUNCT
cana-734	261	1	[	[	X
cana-734	261	2	7	7	NUM
cana-734	261	3	]	]	X
cana-734	261	4	sivamathi	sivamathi	NOUN
cana-734	261	5	,	,	PUNCT
cana-734	261	6	c.	c.	PROPN
cana-734	261	7	,	,	PUNCT
cana-734	261	8	vijayarani	vijayarani	PROPN
cana-734	261	9	,	,	PUNCT
cana-734	261	10	s.	s.	PROPN
cana-734	261	11	,	,	PUNCT
cana-734	261	12	&	&	CCONJ
cana-734	261	13	jeevika	jeevika	PROPN
cana-734	261	14	tharini	tharini	PROPN
cana-734	261	15	,	,	PUNCT
cana-734	261	16	v.	v.	CCONJ
cana-734	261	17	(	(	PUNCT
cana-734	261	18	2019	2019	NUM
cana-734	261	19	)	)	PUNCT
cana-734	261	20	.	.	PUNCT
cana-734	262	1	high	high	ADJ
cana-734	262	2	on	on	ADP
cana-734	262	3	-	-	PUNCT
cana-734	262	4	shelf	shelf	NOUN
cana-734	262	5	utility	utility	NOUN
cana-734	262	6	mining	mining	NOUN
cana-734	262	7	using	use	VERB
cana-734	262	8	an	an	DET
cana-734	262	9	improved	improved	ADJ
cana-734	262	10	houimine	houimine	NOUN
cana-734	262	11	algorithm	algorithm	NOUN
cana-734	262	12	.	.	PUNCT
cana-734	263	1	in	in	ADP
cana-734	263	2	international	international	ADJ
cana-734	263	3	conference	conference	NOUN
cana-734	263	4	on	on	ADP
cana-734	263	5	intelligent	intelligent	ADJ
cana-734	263	6	data	datum	NOUN
cana-734	263	7	communication	communication	NOUN
cana-734	263	8	technologies	technology	NOUN
cana-734	263	9	and	and	CCONJ
cana-734	263	10	internet	internet	NOUN
cana-734	263	11	of	of	ADP
cana-734	263	12	things	thing	NOUN
cana-734	263	13	(	(	PUNCT
cana-734	263	14	icici	icici	NOUN
cana-734	263	15	)	)	PUNCT
cana-734	263	16	2018	2018	NUM
cana-734	263	17	(	(	PUNCT
cana-734	263	18	pp	pp	ADJ
cana-734	263	19	.	.	PUNCT
cana-734	264	1	579	579	NUM
cana-734	264	2	-	-	SYM
cana-734	264	3	586	586	NUM
cana-734	264	4	)	)	PUNCT
cana-734	264	5	.	.	PUNCT
cana-734	265	1	springer	springer	NOUN
cana-734	265	2	international	international	ADJ
cana-734	265	3	publishing	publishing	NOUN
cana-734	265	4	.	.	PUNCT
cana-734	266	1	[	[	X
cana-734	266	2	8	8	NUM
cana-734	266	3	]	]	X
cana-734	266	4	tung	tung	NOUN
cana-734	266	5	,	,	PUNCT
cana-734	266	6	n.	n.	PROPN
cana-734	266	7	t.	t.	PROPN
cana-734	266	8	,	,	PUNCT
cana-734	266	9	nguyen	nguyen	NOUN
cana-734	266	10	,	,	PUNCT
cana-734	266	11	t.	t.	PROPN
cana-734	266	12	d.	d.	PROPN
cana-734	266	13	d.	d.	PROPN
cana-734	266	14	,	,	PUNCT
cana-734	266	15	nguyen	nguyen	PROPN
cana-734	266	16	,	,	PUNCT
cana-734	266	17	l.	l.	PROPN
cana-734	266	18	t.	t.	PROPN
cana-734	266	19	,	,	PUNCT
cana-734	266	20	tho	tho	PROPN
cana-734	266	21	,	,	PUNCT
cana-734	266	22	q.	q.	PROPN
cana-734	266	23	t.	t.	PROPN
cana-734	266	24	,	,	PUNCT
cana-734	266	25	&	&	CCONJ
cana-734	266	26	mai	mai	PROPN
cana-734	266	27	,	,	PUNCT
cana-734	266	28	a.	a.	NOUN
cana-734	266	29	(	(	PUNCT
cana-734	266	30	2023	2023	NUM
cana-734	266	31	)	)	PUNCT
cana-734	266	32	.	.	PUNCT
cana-734	267	1	a	a	DET
cana-734	267	2	nature	nature	NOUN
cana-734	267	3	-	-	PUNCT
cana-734	267	4	inspired	inspire	VERB
cana-734	267	5	method	method	NOUN
cana-734	267	6	to	to	PART
cana-734	267	7	mine	mine	VERB
cana-734	267	8	top	top	ADJ
cana-734	267	9	-	-	PUNCT
cana-734	267	10	k	k	ADJ
cana-734	267	11	multi	multi	ADJ
cana-734	267	12	-	-	ADJ
cana-734	267	13	level	level	ADJ
cana-734	267	14	high	high	ADJ
cana-734	267	15	-	-	PUNCT
cana-734	267	16	utility	utility	NOUN
cana-734	267	17	itemsets	itemset	NOUN
cana-734	267	18	.	.	PUNCT
cana-734	268	1	cybernetics	cybernetic	NOUN
cana-734	268	2	and	and	CCONJ
cana-734	268	3	systems	system	NOUN
cana-734	268	4	,	,	PUNCT
cana-734	268	5	1	1	NUM
cana-734	268	6	-	-	SYM
cana-734	268	7	22	22	NUM
cana-734	268	8	.	.	PUNCT
cana-734	269	1	[	[	X
cana-734	269	2	9	9	NUM
cana-734	269	3	]	]	X
cana-734	269	4	vijayarani	vijayarani	PROPN
cana-734	269	5	,	,	PUNCT
cana-734	269	6	s.	s.	PROPN
cana-734	269	7	,	,	PUNCT
cana-734	269	8	sivamathi	sivamathi	NOUN
cana-734	269	9	,	,	PUNCT
cana-734	269	10	m.	m.	NOUN
cana-734	269	11	c.	c.	PROPN
cana-734	269	12	,	,	PUNCT
cana-734	269	13	&	&	CCONJ
cana-734	269	14	tharini	tharini	PROPN
cana-734	269	15	,	,	PUNCT
cana-734	269	16	m.	m.	NOUN
cana-734	269	17	v.	v.	ADP
cana-734	269	18	j.	j.	PROPN
cana-734	269	19	(	(	PUNCT
cana-734	269	20	2018	2018	NUM
cana-734	269	21	)	)	PUNCT
cana-734	269	22	.	.	PUNCT
cana-734	270	1	comparative	comparative	ADJ
cana-734	270	2	analysis	analysis	NOUN
cana-734	270	3	of	of	ADP
cana-734	270	4	on	on	ADP
cana-734	270	5	-	-	PUNCT
cana-734	270	6	shelf	shelf	NOUN
cana-734	270	7	utility	utility	NOUN
cana-734	270	8	mining	mining	NOUN
cana-734	270	9	algorithm	algorithm	NOUN
cana-734	270	10	.	.	PUNCT
cana-734	271	1	[	[	X
cana-734	271	2	10	10	NUM
cana-734	271	3	]	]	X
cana-734	271	4	boukhalat	boukhalat	ADJ
cana-734	271	5	,	,	PUNCT
cana-734	271	6	a.	a.	NOUN
cana-734	271	7	,	,	PUNCT
cana-734	271	8	heraguemi	heraguemi	NOUN
cana-734	271	9	,	,	PUNCT
cana-734	271	10	k.	k.	PROPN
cana-734	271	11	,	,	PUNCT
cana-734	271	12	benouis	benouis	PROPN
cana-734	271	13	,	,	PUNCT
cana-734	271	14	m.	m.	NOUN
cana-734	271	15	,	,	PUNCT
cana-734	271	16	akhrouf	akhrouf	PROPN
cana-734	271	17	,	,	PUNCT
cana-734	271	18	s.	s.	PROPN
cana-734	271	19	,	,	PUNCT
cana-734	271	20	&	&	CCONJ
cana-734	271	21	bouderah	bouderah	PROPN
cana-734	271	22	,	,	PUNCT
cana-734	271	23	b.	b.	PROPN
cana-734	271	24	(	(	PUNCT
cana-734	271	25	2022	2022	NUM
cana-734	271	26	,	,	PUNCT
cana-734	271	27	september	september	PROPN
cana-734	271	28	)	)	PUNCT
cana-734	271	29	.	.	PUNCT
cana-734	272	1	a	a	DET
cana-734	272	2	survey	survey	NOUN
cana-734	272	3	on	on	ADP
cana-734	272	4	using	use	VERB
cana-734	272	5	evolutionary	evolutionary	ADJ
cana-734	272	6	approaches	approach	NOUN
cana-734	272	7	-	-	PUNCT
cana-734	272	8	based	base	VERB
cana-734	272	9	high	high	ADJ
cana-734	272	10	-	-	PUNCT
cana-734	272	11	utility	utility	NOUN
cana-734	272	12	itemsets	itemset	NOUN
cana-734	272	13	mining	mining	NOUN
cana-734	272	14	.	.	PUNCT
cana-734	273	1	in	in	ADP
cana-734	273	2	artificial	artificial	ADJ
cana-734	273	3	intelligence	intelligence	NOUN
cana-734	273	4	doctoral	doctoral	ADJ
cana-734	273	5	symposium	symposium	NOUN
cana-734	273	6	(	(	PUNCT
cana-734	273	7	pp	pp	ADJ
cana-734	273	8	.	.	PUNCT
cana-734	273	9	43	43	NUM
cana-734	273	10	-	-	SYM
cana-734	273	11	57	57	NUM
cana-734	273	12	)	)	PUNCT
cana-734	273	13	.	.	PUNCT
cana-734	274	1	singapore	singapore	PROPN
cana-734	274	2	:	:	PUNCT
cana-734	274	3	springer	springer	NOUN
cana-734	274	4	nature	nature	PROPN
cana-734	274	5	singapore	singapore	PROPN
cana-734	274	6	.	.	PUNCT
cana-734	275	1	[	[	X
cana-734	275	2	11	11	NUM
cana-734	275	3	]	]	X
cana-734	275	4	gao	gao	PROPN
cana-734	275	5	,	,	PUNCT
cana-734	275	6	z.	z.	PROPN
cana-734	275	7	,	,	PUNCT
cana-734	275	8	han	han	PROPN
cana-734	275	9	,	,	PUNCT
cana-734	275	10	m.	m.	NOUN
cana-734	275	11	,	,	PUNCT
cana-734	275	12	liu	liu	PROPN
cana-734	275	13	,	,	PUNCT
cana-734	275	14	s.	s.	PROPN
cana-734	275	15	,	,	PUNCT
cana-734	275	16	li	li	PROPN
cana-734	275	17	,	,	PUNCT
cana-734	275	18	a.	a.	PROPN
cana-734	275	19	,	,	PUNCT
cana-734	275	20	&	&	CCONJ
cana-734	275	21	mu	mu	PROPN
cana-734	275	22	,	,	PUNCT
cana-734	275	23	d.	d.	PROPN
cana-734	275	24	(	(	PUNCT
cana-734	275	25	2023	2023	NUM
cana-734	275	26	)	)	PUNCT
cana-734	275	27	.	.	PUNCT
cana-734	276	1	survey	survey	NOUN
cana-734	276	2	of	of	ADP
cana-734	276	3	high	high	ADJ
cana-734	276	4	utility	utility	NOUN
cana-734	276	5	itemset	itemset	VERB
cana-734	276	6	mining	mining	NOUN
cana-734	276	7	methods	method	NOUN
cana-734	276	8	based	base	VERB
cana-734	276	9	on	on	ADP
cana-734	276	10	intelligent	intelligent	ADJ
cana-734	276	11	optimization	optimization	NOUN
cana-734	276	12	algorithm	algorithm	NOUN
cana-734	276	13	.	.	PUNCT
cana-734	277	1	journal	journal	PROPN
cana-734	277	2	of	of	ADP
cana-734	277	3	computer	computer	NOUN
cana-734	277	4	applications	application	NOUN
cana-734	277	5	,	,	PUNCT
cana-734	277	6	43(6	43(6	NOUN
cana-734	277	7	)	)	PUNCT
cana-734	277	8	,	,	PUNCT
cana-734	277	9	1676	1676	NUM
cana-734	277	10	.	.	PUNCT
cana-734	278	1	[	[	X
cana-734	278	2	12	12	NUM
cana-734	278	3	]	]	X
cana-734	278	4	kumar	kumar	PROPN
cana-734	278	5	,	,	PUNCT
cana-734	278	6	r.	r.	PROPN
cana-734	278	7	,	,	PUNCT
cana-734	278	8	&	&	CCONJ
cana-734	278	9	singh	singh	PROPN
cana-734	278	10	,	,	PUNCT
cana-734	278	11	k.	k.	PROPN
cana-734	278	12	(	(	PUNCT
cana-734	278	13	2023	2023	NUM
cana-734	278	14	)	)	PUNCT
cana-734	278	15	.	.	PUNCT
cana-734	279	1	high	high	ADJ
cana-734	279	2	utility	utility	NOUN
cana-734	279	3	itemsets	itemset	NOUN
cana-734	279	4	mining	mine	VERB
cana-734	279	5	from	from	ADP
cana-734	279	6	transactional	transactional	ADJ
cana-734	279	7	databases	database	NOUN
cana-734	279	8	:	:	PUNCT
cana-734	279	9	a	a	DET
cana-734	279	10	survey	survey	NOUN
cana-734	279	11	.	.	PUNCT
cana-734	280	1	applied	apply	VERB
cana-734	280	2	intelligence	intelligence	NOUN
cana-734	280	3	,	,	PUNCT
cana-734	280	4	53(22	53(22	NOUN
cana-734	280	5	)	)	PUNCT
cana-734	280	6	,	,	PUNCT
cana-734	280	7	27655	27655	NUM
cana-734	280	8	-	-	SYM
cana-734	280	9	27703	27703	NUM
cana-734	280	10	.	.	PUNCT
cana-734	281	1	[	[	X
cana-734	281	2	13	13	NUM
cana-734	281	3	]	]	SYM
cana-734	281	4	yang	yang	PROPN
cana-734	281	5	,	,	PUNCT
cana-734	281	6	h.	h.	PROPN
cana-734	281	7	,	,	PUNCT
cana-734	281	8	lu	lu	PROPN
cana-734	281	9	,	,	PUNCT
cana-734	281	10	y.	y.	PROPN
cana-734	281	11	,	,	PUNCT
cana-734	281	12	&	&	CCONJ
cana-734	281	13	zhang	zhang	PROPN
cana-734	281	14	,	,	PUNCT
cana-734	281	15	b.	b.	PROPN
cana-734	281	16	(	(	PUNCT
cana-734	281	17	2020	2020	NUM
cana-734	281	18	,	,	PUNCT
cana-734	281	19	october	october	PROPN
cana-734	281	20	)	)	PUNCT
cana-734	281	21	.	.	PUNCT
cana-734	282	1	a	a	DET
cana-734	282	2	survey	survey	NOUN
cana-734	282	3	of	of	ADP
cana-734	282	4	high	high	ADJ
cana-734	282	5	-	-	PUNCT
cana-734	282	6	utility	utility	NOUN
cana-734	282	7	itemsets	itemset	NOUN
cana-734	282	8	mining	mining	NOUN
cana-734	282	9	.	.	PUNCT
cana-734	283	1	in	in	ADP
cana-734	283	2	journal	journal	PROPN
cana-734	283	3	of	of	ADP
cana-734	283	4	physics	physics	PROPN
cana-734	283	5	:	:	PUNCT
cana-734	283	6	conference	conference	NOUN
cana-734	283	7	series	series	NOUN
cana-734	283	8	(	(	PUNCT
cana-734	283	9	vol	vol	NOUN
cana-734	283	10	.	.	PROPN
cana-734	283	11	1624	1624	NUM
cana-734	283	12	,	,	PUNCT
cana-734	283	13	no	no	INTJ
cana-734	283	14	.	.	NOUN
cana-734	283	15	3	3	NUM
cana-734	283	16	,	,	PUNCT
cana-734	283	17	p.	p.	NOUN
cana-734	283	18	032034	032034	NUM
cana-734	283	19	)	)	PUNCT
cana-734	283	20	.	.	PUNCT
cana-734	284	1	iop	iop	NOUN
cana-734	284	2	publishing	publishing	NOUN
cana-734	284	3	.	.	PUNCT
cana-734	285	1	[	[	X
cana-734	285	2	14	14	NUM
cana-734	285	3	]	]	PUNCT
cana-734	285	4	nellutla	nellutla	PROPN
cana-734	285	5	,	,	PUNCT
cana-734	285	6	a.	a.	NOUN
cana-734	285	7	,	,	PUNCT
cana-734	285	8	&	&	CCONJ
cana-734	285	9	srinivasan	srinivasan	NOUN
cana-734	285	10	,	,	PUNCT
cana-734	285	11	n.	n.	NOUN
cana-734	285	12	(	(	PUNCT
cana-734	285	13	2022	2022	NUM
cana-734	285	14	)	)	PUNCT
cana-734	285	15	.	.	PUNCT
cana-734	286	1	a	a	DET
cana-734	286	2	survey	survey	NOUN
cana-734	286	3	on	on	ADP
cana-734	286	4	analysis	analysis	NOUN
cana-734	286	5	of	of	ADP
cana-734	286	6	data	datum	NOUN
cana-734	286	7	mining	mining	NOUN
cana-734	286	8	algorithms	algorithm	NOUN
cana-734	286	9	for	for	ADP
cana-734	286	10	high	high	ADJ
cana-734	286	11	utility	utility	NOUN
cana-734	286	12	itemsets	itemset	NOUN
cana-734	286	13	.	.	PUNCT
cana-734	287	1	el	el	PROPN
cana-734	287	2	-	-	PUNCT
cana-734	287	3	cezeri	cezeri	PROPN
cana-734	287	4	,	,	PUNCT
cana-734	287	5	9(3	9(3	NUM
cana-734	287	6	)	)	PUNCT
cana-734	287	7	,	,	PUNCT
cana-734	287	8	1085	1085	NUM
cana-734	287	9	-	-	SYM
cana-734	287	10	1100	1100	NUM
cana-734	287	11	.	.	PUNCT
cana-734	288	1	[	[	X
cana-734	288	2	15	15	NUM
cana-734	288	3	]	]	X
cana-734	288	4	zhang	zhang	PROPN
cana-734	288	5	,	,	PUNCT
cana-734	288	6	q.	q.	PROPN
cana-734	288	7	,	,	PUNCT
cana-734	288	8	fang	fang	PROPN
cana-734	288	9	,	,	PUNCT
cana-734	288	10	w.	w.	PROPN
cana-734	288	11	,	,	PUNCT
cana-734	288	12	sun	sun	PROPN
cana-734	288	13	,	,	PUNCT
cana-734	288	14	j.	j.	PROPN
cana-734	288	15	,	,	PUNCT
cana-734	288	16	&	&	CCONJ
cana-734	288	17	wang	wang	PROPN
cana-734	288	18	,	,	PUNCT
cana-734	288	19	q.	q.	PROPN
cana-734	288	20	(	(	PUNCT
cana-734	288	21	2019	2019	NUM
cana-734	288	22	)	)	PUNCT
cana-734	288	23	.	.	PUNCT
cana-734	289	1	improved	improve	VERB
cana-734	289	2	genetic	genetic	ADJ
cana-734	289	3	algorithm	algorithm	NOUN
cana-734	289	4	for	for	ADP
cana-734	289	5	high	high	ADJ
cana-734	289	6	-	-	PUNCT
cana-734	289	7	utility	utility	NOUN
cana-734	289	8	itemset	itemset	ADJ
cana-734	289	9	mining	mining	NOUN
cana-734	289	10	.	.	PUNCT
cana-734	290	1	ieee	ieee	NOUN
cana-734	290	2	access	access	NOUN
cana-734	290	3	,	,	PUNCT
cana-734	290	4	7	7	NUM
cana-734	290	5	,	,	PUNCT
cana-734	290	6	176799	176799	NUM
cana-734	290	7	-	-	SYM
cana-734	290	8	176813	176813	NUM
cana-734	290	9	.	.	PUNCT
cana-734	291	1	[	[	X
cana-734	291	2	16	16	NUM
cana-734	291	3	]	]	X
cana-734	291	4	vijayarani	vijayarani	PROPN
cana-734	291	5	,	,	PUNCT
cana-734	291	6	s.	s.	PROPN
cana-734	291	7	,	,	PUNCT
cana-734	291	8	tharini	tharini	NOUN
cana-734	291	9	,	,	PUNCT
cana-734	291	10	v.	v.	PROPN
cana-734	291	11	j.	j.	PROPN
cana-734	291	12	,	,	PUNCT
cana-734	291	13	&	&	CCONJ
cana-734	291	14	sivamathi	sivamathi	PROPN
cana-734	291	15	,	,	PUNCT
cana-734	291	16	c.	c.	NOUN
cana-734	291	17	(	(	PUNCT
cana-734	291	18	2019	2019	NUM
cana-734	291	19	)	)	PUNCT
cana-734	291	20	.	.	PUNCT
cana-734	292	1	business	business	NOUN
cana-734	292	2	intelligence	intelligence	NOUN
cana-734	292	3	for	for	ADP
cana-734	292	4	evaluating	evaluate	VERB
cana-734	292	5	the	the	DET
cana-734	292	6	intangible	intangible	ADJ
cana-734	292	7	benefits	benefit	NOUN
cana-734	292	8	of	of	ADP
cana-734	292	9	on	on	ADP
cana-734	292	10	-	-	PUNCT
cana-734	292	11	shelf	shelf	NOUN
cana-734	292	12	high	high	ADJ
cana-734	292	13	utility	utility	NOUN
cana-734	292	14	itemset	itemset	VERB
cana-734	292	15	from	from	ADP
cana-734	292	16	the	the	DET
cana-734	292	17	temporal	temporal	ADJ
cana-734	292	18	transaction	transaction	NOUN
cana-734	292	19	database	database	NOUN
cana-734	292	20	.	.	PUNCT
cana-734	293	1	international	international	ADJ
cana-734	293	2	journal	journal	PROPN
cana-734	293	3	of	of	ADP
cana-734	293	4	engineering	engineering	NOUN
cana-734	293	5	and	and	CCONJ
cana-734	293	6	advanced	advanced	ADJ
cana-734	293	7	technology	technology	NOUN
cana-734	293	8	(	(	PUNCT
cana-734	293	9	ijeat	ijeat	NOUN
cana-734	293	10	)	)	PUNCT
cana-734	293	11	,	,	PUNCT
cana-734	293	12	8(6	8(6	NUM
cana-734	293	13	)	)	PUNCT
cana-734	293	14	.	.	PUNCT
cana-734	294	1	[	[	X
cana-734	294	2	17	17	NUM
cana-734	294	3	]	]	X
cana-734	294	4	arunkumar	arunkumar	PROPN
cana-734	294	5	,	,	PUNCT
cana-734	294	6	m.	m.	NOUN
cana-734	294	7	s.	s.	PROPN
cana-734	294	8	,	,	PUNCT
cana-734	294	9	suresh	suresh	PROPN
cana-734	294	10	,	,	PUNCT
cana-734	294	11	p.	p.	PROPN
cana-734	294	12	,	,	PUNCT
cana-734	294	13	&	&	CCONJ
cana-734	294	14	gunavathi	gunavathi	PROPN
cana-734	294	15	,	,	PUNCT
cana-734	294	16	c.	c.	NOUN
cana-734	294	17	(	(	PUNCT
cana-734	294	18	2020	2020	NUM
cana-734	294	19	)	)	PUNCT
cana-734	294	20	.	.	PUNCT
cana-734	295	1	high	high	ADJ
cana-734	295	2	utility	utility	NOUN
cana-734	295	3	infrequent	infrequent	NOUN
cana-734	295	4	itemset	itemset	VERB
cana-734	295	5	mining	mining	NOUN
cana-734	295	6	using	use	VERB
cana-734	295	7	a	a	DET
cana-734	295	8	customized	customize	VERB
cana-734	295	9	ant	ant	ADJ
cana-734	295	10	colony	colony	NOUN
cana-734	295	11	algorithm	algorithm	NOUN
cana-734	295	12	.	.	PUNCT
cana-734	296	1	international	international	ADJ
cana-734	296	2	journal	journal	NOUN
cana-734	296	3	of	of	ADP
cana-734	296	4	parallel	parallel	ADJ
cana-734	296	5	programming	programming	NOUN
cana-734	296	6	,	,	PUNCT
cana-734	296	7	48(5	48(5	NUM
cana-734	296	8	)	)	PUNCT
cana-734	296	9	,	,	PUNCT
cana-734	296	10	833	833	NUM
cana-734	296	11	-	-	SYM
cana-734	296	12	849	849	NUM
cana-734	296	13	.	.	PUNCT
cana-734	297	1	[	[	X
cana-734	297	2	18	18	NUM
cana-734	297	3	]	]	X
cana-734	297	4	gunawan	gunawan	PROPN
cana-734	297	5	,	,	PUNCT
cana-734	297	6	r.	r.	PROPN
cana-734	297	7	,	,	PUNCT
cana-734	297	8	winarko	winarko	PROPN
cana-734	297	9	,	,	PUNCT
cana-734	297	10	e.	e.	PROPN
cana-734	297	11	,	,	PUNCT
cana-734	297	12	&	&	CCONJ
cana-734	297	13	pulungan	pulungan	PROPN
cana-734	297	14	,	,	PUNCT
cana-734	297	15	r.	r.	PROPN
cana-734	297	16	(	(	PUNCT
cana-734	297	17	2020	2020	NUM
cana-734	297	18	)	)	PUNCT
cana-734	297	19	.	.	PUNCT
cana-734	298	1	a	a	DET
cana-734	298	2	bpso	bpso	NOUN
cana-734	298	3	-	-	PUNCT
cana-734	298	4	based	base	VERB
cana-734	298	5	method	method	NOUN
cana-734	298	6	for	for	ADP
cana-734	298	7	high	high	ADJ
cana-734	298	8	-	-	PUNCT
cana-734	298	9	utility	utility	NOUN
cana-734	298	10	itemset	itemset	NOUN
cana-734	298	11	mining	mining	NOUN
cana-734	298	12	without	without	ADP
cana-734	298	13	minimum	minimum	ADJ
cana-734	298	14	utility	utility	NOUN
cana-734	298	15	threshold	threshold	NOUN
cana-734	298	16	.	.	PUNCT
cana-734	299	1	knowledge	knowledge	NOUN
cana-734	299	2	-	-	PUNCT
cana-734	299	3	based	base	VERB
cana-734	299	4	systems	system	NOUN
cana-734	299	5	,	,	PUNCT
cana-734	299	6	190	190	NUM
cana-734	299	7	,	,	PUNCT
cana-734	299	8	105164	105164	NUM
cana-734	299	9	.	.	PUNCT
cana-734	300	1	[	[	X
cana-734	300	2	19	19	NUM
cana-734	300	3	]	]	SYM
cana-734	300	4	nawaz	nawaz	NOUN
cana-734	300	5	,	,	PUNCT
cana-734	300	6	m.	m.	NOUN
cana-734	300	7	s.	s.	PROPN
cana-734	300	8	,	,	PUNCT
cana-734	300	9	fournier	fournier	NOUN
cana-734	300	10	-	-	PUNCT
cana-734	300	11	viger	viger	NOUN
cana-734	300	12	,	,	PUNCT
cana-734	300	13	p.	p.	PROPN
cana-734	300	14	,	,	PUNCT
cana-734	300	15	yun	yun	PROPN
cana-734	300	16	,	,	PUNCT
cana-734	300	17	u.	u.	PROPN
cana-734	300	18	,	,	PUNCT
cana-734	300	19	wu	wu	PROPN
cana-734	300	20	,	,	PUNCT
cana-734	300	21	y.	y.	PROPN
cana-734	300	22	,	,	PUNCT
cana-734	300	23	&	&	CCONJ
cana-734	300	24	song	song	PROPN
cana-734	300	25	,	,	PUNCT
cana-734	300	26	w.	w.	NOUN
cana-734	300	27	(	(	PUNCT
cana-734	300	28	2021	2021	NUM
cana-734	300	29	)	)	PUNCT
cana-734	300	30	.	.	PUNCT
cana-734	301	1	mining	mine	VERB
cana-734	301	2	high	high	ADJ
cana-734	301	3	utility	utility	NOUN
cana-734	301	4	itemsets	itemset	NOUN
cana-734	301	5	with	with	ADP
cana-734	301	6	hill	hill	NOUN
cana-734	301	7	climbing	climbing	NOUN
cana-734	301	8	and	and	CCONJ
cana-734	301	9	simulated	simulated	ADJ
cana-734	301	10	annealing	annealing	NOUN
cana-734	301	11	.	.	PUNCT
cana-734	302	1	acm	acm	NOUN
cana-734	302	2	transactions	transaction	NOUN
cana-734	302	3	on	on	ADP
cana-734	302	4	management	management	NOUN
cana-734	302	5	information	information	NOUN
cana-734	302	6	system	system	NOUN
cana-734	302	7	(	(	PUNCT
cana-734	302	8	tmis	tmis	PROPN
cana-734	302	9	)	)	PUNCT
cana-734	302	10	,	,	PUNCT
cana-734	302	11	13(1	13(1	X
cana-734	302	12	)	)	PUNCT
cana-734	302	13	,	,	PUNCT
cana-734	302	14	1	1	NUM
cana-734	302	15	-	-	SYM
cana-734	302	16	22	22	NUM
cana-734	302	17	.	.	PUNCT
cana-734	303	1	[	[	X
cana-734	303	2	20	20	NUM
cana-734	303	3	]	]	X
cana-734	303	4	song	song	NOUN
cana-734	303	5	,	,	PUNCT
cana-734	303	6	w.	w.	PROPN
cana-734	303	7	,	,	PUNCT
cana-734	303	8	zheng	zheng	PROPN
cana-734	303	9	,	,	PUNCT
cana-734	303	10	c.	c.	PROPN
cana-734	303	11	,	,	PUNCT
cana-734	303	12	huang	huang	PROPN
cana-734	303	13	,	,	PUNCT
cana-734	303	14	c.	c.	PROPN
cana-734	303	15	,	,	PUNCT
cana-734	303	16	&	&	CCONJ
cana-734	303	17	liu	liu	PROPN
cana-734	303	18	,	,	PUNCT
cana-734	303	19	l.	l.	PROPN
cana-734	303	20	(	(	PUNCT
cana-734	303	21	2022	2022	NUM
cana-734	303	22	)	)	PUNCT
cana-734	303	23	.	.	PUNCT
cana-734	304	1	heuristically	heuristically	ADV
cana-734	304	2	mining	mine	VERB
cana-734	304	3	the	the	DET
cana-734	304	4	top	top	ADJ
cana-734	304	5	-	-	PUNCT
cana-734	304	6	k	k	NOUN
cana-734	304	7	high	high	ADJ
cana-734	304	8	-	-	PUNCT
cana-734	304	9	utility	utility	NOUN
cana-734	304	10	itemsets	itemset	NOUN
cana-734	304	11	with	with	ADP
cana-734	304	12	crossentropy	crossentropy	NOUN
cana-734	304	13	optimization	optimization	NOUN
cana-734	304	14	.	.	PUNCT
cana-734	305	1	applied	apply	VERB
cana-734	305	2	intelligence	intelligence	NOUN
cana-734	305	3	,	,	PUNCT
cana-734	305	4	52(15	52(15	NUM
cana-734	305	5	)	)	PUNCT
cana-734	305	6	,	,	PUNCT
cana-734	305	7	17026	17026	NUM
cana-734	305	8	-	-	SYM
cana-734	305	9	17041	17041	NUM
cana-734	305	10	.	.	PUNCT
cana-734	306	1	[	[	X
cana-734	306	2	21	21	NUM
cana-734	306	3	]	]	SYM
cana-734	306	4	nawaz	nawaz	NOUN
cana-734	306	5	,	,	PUNCT
cana-734	306	6	m.	m.	NOUN
cana-734	306	7	s.	s.	PROPN
cana-734	306	8	,	,	PUNCT
cana-734	306	9	fournier	fournier	NOUN
cana-734	306	10	-	-	PUNCT
cana-734	306	11	viger	viger	NOUN
cana-734	306	12	,	,	PUNCT
cana-734	306	13	p.	p.	NOUN
cana-734	306	14	,	,	PUNCT
cana-734	306	15	song	song	NOUN
cana-734	306	16	,	,	PUNCT
cana-734	306	17	w.	w.	PROPN
cana-734	306	18	,	,	PUNCT
cana-734	306	19	lin	lin	PROPN
cana-734	306	20	,	,	PUNCT
cana-734	306	21	j.	j.	PROPN
cana-734	306	22	c.	c.	PROPN
cana-734	306	23	w.	w.	PROPN
cana-734	306	24	,	,	PUNCT
cana-734	306	25	&	&	CCONJ
cana-734	306	26	noack	noack	PROPN
cana-734	306	27	,	,	PUNCT
cana-734	306	28	b.	b.	PROPN
cana-734	306	29	(	(	PUNCT
cana-734	306	30	2021	2021	NUM
cana-734	306	31	)	)	PUNCT
cana-734	306	32	.	.	PUNCT
cana-734	307	1	investigating	investigate	VERB
cana-734	307	2	crossover	crossover	ADP
cana-734	307	3	operators	operator	NOUN
cana-734	307	4	in	in	ADP
cana-734	307	5	genetic	genetic	ADJ
cana-734	307	6	algorithms	algorithm	NOUN
cana-734	307	7	for	for	ADP
cana-734	307	8	high	high	ADJ
cana-734	307	9	-	-	PUNCT
cana-734	307	10	utility	utility	NOUN
cana-734	307	11	itemset	itemset	ADJ
cana-734	307	12	mining	mining	NOUN
cana-734	307	13	.	.	PUNCT
cana-734	308	1	in	in	ADP
cana-734	308	2	intelligent	intelligent	ADJ
cana-734	308	3	information	information	NOUN
cana-734	308	4	and	and	CCONJ
cana-734	308	5	database	database	NOUN
cana-734	308	6	systems	system	NOUN
cana-734	308	7	:	:	PUNCT
cana-734	308	8	13th	13th	ADJ
cana-734	308	9	asian	asian	ADJ
cana-734	308	10	conference	conference	NOUN
cana-734	308	11	,	,	PUNCT
cana-734	308	12	aciids	aciid	NOUN
cana-734	308	13	2021	2021	NUM
cana-734	308	14	,	,	PUNCT
cana-734	308	15	phuket	phuket	NOUN
cana-734	308	16	,	,	PUNCT
cana-734	308	17	thailand	thailand	PROPN
cana-734	308	18	,	,	PUNCT
cana-734	308	19	april	april	PROPN
cana-734	308	20	7–10	7–10	PROPN
cana-734	308	21	,	,	PUNCT
cana-734	308	22	2021	2021	NUM
cana-734	308	23	,	,	PUNCT
cana-734	308	24	proceedings	proceeding	NOUN
cana-734	308	25	13	13	NUM
cana-734	308	26	(	(	PUNCT
cana-734	308	27	pp	pp	ADJ
cana-734	308	28	.	.	PUNCT
cana-734	309	1	16	16	NUM
cana-734	309	2	-	-	SYM
cana-734	309	3	28	28	NUM
cana-734	309	4	)	)	PUNCT
cana-734	309	5	.	.	PUNCT
cana-734	310	1	springer	springer	NOUN
cana-734	310	2	international	international	ADJ
cana-734	310	3	publishing	publishing	NOUN
cana-734	310	4	.	.	PUNCT
cana-734	311	1	[	[	X
cana-734	311	2	22	22	NUM
cana-734	311	3	]	]	X
cana-734	311	4	jeevika	jeevika	PROPN
cana-734	311	5	tharini	tharini	PROPN
cana-734	311	6	,	,	PUNCT
cana-734	311	7	v.	v.	ADV
cana-734	311	8	,	,	PUNCT
cana-734	311	9	&	&	CCONJ
cana-734	311	10	vijayarani	vijayarani	PROPN
cana-734	311	11	,	,	PUNCT
cana-734	311	12	s.	s.	PROPN
cana-734	311	13	(	(	PUNCT
cana-734	311	14	2020	2020	NUM
cana-734	311	15	)	)	PUNCT
cana-734	311	16	.	.	PUNCT
cana-734	312	1	bio	bio	ADJ
cana-734	312	2	-	-	PUNCT
cana-734	312	3	inspired	inspire	VERB
cana-734	312	4	high	high	ADJ
cana-734	312	5	-	-	PUNCT
cana-734	312	6	utility	utility	NOUN
cana-734	312	7	item	item	NOUN
cana-734	312	8	framework	framework	NOUN
cana-734	312	9	based	base	VERB
cana-734	312	10	particle	particle	NOUN
cana-734	312	11	swarm	swarm	NOUN
cana-734	312	12	optimization	optimization	NOUN
cana-734	312	13	tree	tree	NOUN
cana-734	312	14	algorithms	algorithm	NOUN
cana-734	312	15	for	for	ADP
cana-734	312	16	mining	mine	VERB
cana-734	312	17	high	high	ADJ
cana-734	312	18	utility	utility	NOUN
cana-734	312	19	itemset	itemset	NOUN
cana-734	312	20	.	.	PUNCT
cana-734	313	1	in	in	ADP
cana-734	313	2	advances	advance	NOUN
cana-734	313	3	in	in	ADP
cana-734	313	4	computational	computational	ADJ
cana-734	313	5	intelligence	intelligence	NOUN
cana-734	313	6	and	and	CCONJ
cana-734	313	7	informatics	informatic	NOUN
cana-734	313	8	:	:	PUNCT
cana-734	313	9	proceedings	proceeding	NOUN
cana-734	313	10	of	of	ADP
cana-734	313	11	icacii	icacii	PROPN
cana-734	313	12	2019	2019	NUM
cana-734	313	13	(	(	PUNCT
cana-734	313	14	pp	pp	ADJ
cana-734	313	15	.	.	PUNCT
cana-734	313	16	265	265	NUM
cana-734	313	17	-	-	SYM
cana-734	313	18	276	276	NUM
cana-734	313	19	)	)	PUNCT
cana-734	313	20	.	.	PUNCT
cana-734	314	1	springer	springer	PROPN
cana-734	314	2	singapore	singapore	PROPN
cana-734	314	3	.	.	PUNCT
cana-734	315	1	communications	communication	NOUN
cana-734	315	2	on	on	ADP
cana-734	315	3	applied	apply	VERB
cana-734	315	4	nonlinear	nonlinear	ADJ
cana-734	315	5	analysis	analysis	NOUN
cana-734	315	6	issn	issn	NOUN
cana-734	315	7	:	:	PUNCT
cana-734	315	8	1074	1074	NUM
cana-734	315	9	-	-	PUNCT
cana-734	315	10	133x	133x	NUM
cana-734	315	11	vol	vol	NOUN
cana-734	315	12	31	31	NUM
cana-734	315	13	no	no	NOUN
cana-734	315	14	.	.	PUNCT
cana-734	316	1	3s	3s	NUM
cana-734	316	2	(	(	PUNCT
cana-734	316	3	2024	2024	NUM
cana-734	316	4	)	)	PUNCT
cana-734	316	5	104	104	NUM
cana-734	316	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-734	317	1	[	[	X
cana-734	317	2	23	23	NUM
cana-734	317	3	]	]	PUNCT
cana-734	317	4	tharini	tharini	NOUN
cana-734	317	5	,	,	PUNCT
cana-734	317	6	v.	v.	PROPN
cana-734	317	7	j.	j.	PROPN
cana-734	317	8	,	,	PUNCT
cana-734	317	9	&	&	CCONJ
cana-734	317	10	shivakumar	shivakumar	PROPN
cana-734	317	11	,	,	PUNCT
cana-734	317	12	b.	b.	PROPN
cana-734	317	13	l.	l.	PROPN
cana-734	317	14	(	(	PUNCT
cana-734	317	15	2023	2023	NUM
cana-734	317	16	)	)	PUNCT
cana-734	317	17	.	.	PUNCT
cana-734	318	1	an	an	DET
cana-734	318	2	efficient	efficient	ADJ
cana-734	318	3	pruned	prune	VERB
cana-734	318	4	matrix	matrix	NOUN
cana-734	318	5	aided	aid	VERB
cana-734	318	6	utility	utility	NOUN
cana-734	318	7	tree	tree	NOUN
cana-734	318	8	for	for	ADP
cana-734	318	9	high	high	ADJ
cana-734	318	10	utility	utility	NOUN
cana-734	318	11	itemset	itemset	NOUN
cana-734	318	12	mining	mining	NOUN
cana-734	318	13	from	from	ADP
cana-734	318	14	transactional	transactional	ADJ
cana-734	318	15	database	database	NOUN
cana-734	318	16	.	.	PUNCT
cana-734	319	1	international	international	ADJ
cana-734	319	2	journal	journal	NOUN
cana-734	319	3	of	of	ADP
cana-734	319	4	intelligent	intelligent	ADJ
cana-734	319	5	systems	system	NOUN
cana-734	319	6	and	and	CCONJ
cana-734	319	7	applications	application	NOUN
cana-734	319	8	in	in	ADP
cana-734	319	9	engineering	engineering	NOUN
cana-734	319	10	,	,	PUNCT
cana-734	319	11	11(4s	11(4s	NUM
cana-734	319	12	)	)	PUNCT
cana-734	319	13	,	,	PUNCT
cana-734	319	14	46	46	NUM
cana-734	319	15	-	-	SYM
cana-734	319	16	55	55	NUM
cana-734	319	17	.	.	PUNCT
cana-734	320	1	[	[	X
cana-734	320	2	24	24	NUM
cana-734	320	3	]	]	PUNCT
cana-734	320	4	https://www.philippe-fournier-viger.com/spmf/index.php?link=datasets.php	https://www.philippe-fournier-viger.com/spmf/index.php?link=datasets.php	NUM