id	sid	tid	token	lemma	pos
cana-691	1	1	communications	communication	NOUN
cana-691	1	2	on	on	ADP
cana-691	1	3	applied	apply	VERB
cana-691	1	4	nonlinear	nonlinear	ADJ
cana-691	1	5	analysis	analysis	NOUN
cana-691	1	6	issn	issn	NOUN
cana-691	1	7	:	:	PUNCT
cana-691	1	8	1074	1074	NUM
cana-691	1	9	-	-	PUNCT
cana-691	1	10	133x	133x	NUM
cana-691	1	11	vol	vol	NOUN
cana-691	1	12	31	31	NUM
cana-691	1	13	no	no	NOUN
cana-691	1	14	.	.	PUNCT
cana-691	2	1	2s	2s	NUM
cana-691	2	2	(	(	PUNCT
cana-691	2	3	2024	2024	NUM
cana-691	2	4	)	)	PUNCT
cana-691	2	5	639	639	NUM
cana-691	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-691	2	7	a	a	DET
cana-691	2	8	study	study	NOUN
cana-691	2	9	on	on	ADP
cana-691	2	10	the	the	DET
cana-691	2	11	efficacy	efficacy	NOUN
cana-691	2	12	of	of	ADP
cana-691	2	13	machine	machine	NOUN
cana-691	2	14	learning	learning	NOUN
cana-691	2	15	models	model	NOUN
cana-691	2	16	in	in	ADP
cana-691	2	17	intrusion	intrusion	NOUN
cana-691	2	18	detection	detection	NOUN
cana-691	2	19	systems	system	NOUN
cana-691	2	20	praveen	praveen	PROPN
cana-691	2	21	kumar	kumar	PROPN
cana-691	2	22	shukla1	shukla1	PROPN
cana-691	2	23	,	,	PUNCT
cana-691	2	24	dr	dr	PROPN
cana-691	2	25	c	c	PROPN
cana-691	2	26	s	s	PART
cana-691	2	27	raghuvanshi2	raghuvanshi2	NOUN
cana-691	2	28	,	,	PUNCT
cana-691	2	29	dr	dr	PROPN
cana-691	2	30	hari	hari	PROPN
cana-691	2	31	om	om	PROPN
cana-691	2	32	sharan3	sharan3	PROPN
cana-691	2	33	1department	1department	NUM
cana-691	2	34	of	of	ADP
cana-691	2	35	computer	computer	NOUN
cana-691	2	36	science	science	PROPN
cana-691	2	37	&	&	CCONJ
cana-691	2	38	engineering	engineering	PROPN
cana-691	2	39	,	,	PUNCT
cana-691	2	40	rama	rama	PROPN
cana-691	2	41	university	university	PROPN
cana-691	2	42	,	,	PUNCT
cana-691	2	43	kanpur	kanpur	PROPN
cana-691	2	44	209217	209217	NUM
cana-691	2	45	,	,	PUNCT
cana-691	2	46	india	india	PROPN
cana-691	2	47	email	email	NOUN
cana-691	3	1	i	i	PROPN
cana-691	3	2	d	d	PROPN
cana-691	3	3	:	:	PUNCT
cana-691	3	4	praveenshukla26@gmail.com	praveenshukla26@gmail.com	X
cana-691	3	5	2	2	NUM
cana-691	3	6	department	department	NOUN
cana-691	3	7	of	of	ADP
cana-691	3	8	computer	computer	NOUN
cana-691	3	9	science	science	PROPN
cana-691	3	10	&	&	CCONJ
cana-691	3	11	engineering	engineering	PROPN
cana-691	3	12	,	,	PUNCT
cana-691	3	13	rama	rama	PROPN
cana-691	3	14	university	university	PROPN
cana-691	3	15	,	,	PUNCT
cana-691	3	16	kanpur	kanpur	PROPN
cana-691	3	17	209217	209217	NUM
cana-691	3	18	,	,	PUNCT
cana-691	3	19	india	india	PROPN
cana-691	3	20	email	email	NOUN
cana-691	3	21	i	i	PROPN
cana-691	3	22	d	d	PROPN
cana-691	3	23	:	:	PUNCT
cana-691	3	24	drcsraghuvanshi@gmail.com	drcsraghuvanshi@gmail.com	X
cana-691	4	1	3	3	NUM
cana-691	4	2	department	department	NOUN
cana-691	4	3	of	of	ADP
cana-691	4	4	computer	computer	NOUN
cana-691	4	5	science	science	PROPN
cana-691	4	6	&	&	CCONJ
cana-691	4	7	engineering	engineering	PROPN
cana-691	4	8	,	,	PUNCT
cana-691	4	9	rama	rama	PROPN
cana-691	4	10	university	university	PROPN
cana-691	4	11	,	,	PUNCT
cana-691	4	12	kanpur	kanpur	PROPN
cana-691	4	13	209217	209217	NUM
cana-691	4	14	,	,	PUNCT
cana-691	4	15	india	india	PROPN
cana-691	4	16	email	email	NOUN
cana-691	4	17	i	i	PROPN
cana-691	4	18	d	d	PROPN
cana-691	4	19	:	:	PUNCT
cana-691	4	20	deanengineering@ramauniversity.ac.in	deanengineering@ramauniversity.ac.in	NUM
cana-691	4	21	article	article	NOUN
cana-691	4	22	history	history	NOUN
cana-691	4	23	:	:	PUNCT
cana-691	4	24	received	receive	VERB
cana-691	4	25	:	:	PUNCT
cana-691	4	26	30	30	NUM
cana-691	4	27	-	-	SYM
cana-691	4	28	03	03	NUM
cana-691	4	29	-	-	PUNCT
cana-691	4	30	2024	2024	NUM
cana-691	4	31	revised	revise	VERB
cana-691	4	32	:	:	PUNCT
cana-691	4	33	20	20	NUM
cana-691	4	34	-	-	SYM
cana-691	4	35	05	05	NUM
cana-691	4	36	-	-	PUNCT
cana-691	4	37	2024	2024	NUM
cana-691	4	38	accepted	accept	VERB
cana-691	4	39	:	:	PUNCT
cana-691	4	40	01	01	NUM
cana-691	4	41	-	-	SYM
cana-691	4	42	06	06	NUM
cana-691	4	43	-	-	PUNCT
cana-691	4	44	2024	2024	NUM
cana-691	4	45	abstract	abstract	NOUN
cana-691	4	46	:	:	PUNCT
cana-691	4	47	the	the	DET
cana-691	4	48	electronics	electronics	NOUN
cana-691	4	49	industry	industry	NOUN
cana-691	4	50	has	have	AUX
cana-691	4	51	seen	see	VERB
cana-691	4	52	a	a	DET
cana-691	4	53	rise	rise	NOUN
cana-691	4	54	in	in	ADP
cana-691	4	55	demand	demand	NOUN
cana-691	4	56	for	for	ADP
cana-691	4	57	faster	fast	ADJ
cana-691	4	58	and	and	CCONJ
cana-691	4	59	more	more	ADJ
cana-691	4	60	affordable	affordable	ADJ
cana-691	4	61	delivery	delivery	NOUN
cana-691	4	62	due	due	ADP
cana-691	4	63	to	to	ADP
cana-691	4	64	developments	development	NOUN
cana-691	4	65	in	in	ADP
cana-691	4	66	information	information	NOUN
cana-691	4	67	technology	technology	NOUN
cana-691	4	68	.	.	PUNCT
cana-691	5	1	technology	technology	NOUN
cana-691	5	2	is	be	AUX
cana-691	5	3	developing	develop	VERB
cana-691	5	4	quickly	quickly	ADV
cana-691	5	5	,	,	PUNCT
cana-691	5	6	which	which	PRON
cana-691	5	7	simplifies	simplifie	NOUN
cana-691	5	8	living	live	VERB
cana-691	5	9	but	but	CCONJ
cana-691	5	10	also	also	ADV
cana-691	5	11	presents	present	VERB
cana-691	5	12	a	a	DET
cana-691	5	13	number	number	NOUN
cana-691	5	14	of	of	ADP
cana-691	5	15	security	security	NOUN
cana-691	5	16	issues	issue	NOUN
cana-691	5	17	.	.	PUNCT
cana-691	6	1	as	as	SCONJ
cana-691	6	2	the	the	DET
cana-691	6	3	internet	internet	NOUN
cana-691	6	4	has	have	AUX
cana-691	6	5	grown	grow	VERB
cana-691	6	6	over	over	ADP
cana-691	6	7	time	time	NOUN
cana-691	6	8	,	,	PUNCT
cana-691	6	9	so	so	ADV
cana-691	6	10	too	too	ADV
cana-691	6	11	have	have	VERB
cana-691	6	12	the	the	DET
cana-691	6	13	amount	amount	NOUN
cana-691	6	14	of	of	ADP
cana-691	6	15	online	online	ADJ
cana-691	6	16	attacks	attack	NOUN
cana-691	6	17	.	.	PUNCT
cana-691	7	1	the	the	DET
cana-691	7	2	intrusion	intrusion	NOUN
cana-691	7	3	detection	detection	NOUN
cana-691	7	4	system	system	NOUN
cana-691	7	5	(	(	PUNCT
cana-691	7	6	ids	id	NOUN
cana-691	7	7	)	)	PUNCT
cana-691	7	8	is	be	AUX
cana-691	7	9	one	one	NUM
cana-691	7	10	of	of	ADP
cana-691	7	11	the	the	DET
cana-691	7	12	supporting	support	VERB
cana-691	7	13	layers	layer	NOUN
cana-691	7	14	that	that	PRON
cana-691	7	15	can	can	AUX
cana-691	7	16	be	be	AUX
cana-691	7	17	utilized	utilize	VERB
cana-691	7	18	for	for	ADP
cana-691	7	19	information	information	NOUN
cana-691	7	20	security	security	NOUN
cana-691	7	21	.	.	PUNCT
cana-691	8	1	ids	id	NOUN
cana-691	8	2	avoids	avoid	VERB
cana-691	8	3	questionable	questionable	ADJ
cana-691	8	4	network	network	NOUN
cana-691	8	5	activity	activity	NOUN
cana-691	8	6	and	and	CCONJ
cana-691	8	7	provides	provide	VERB
cana-691	8	8	a	a	DET
cana-691	8	9	pristine	pristine	ADJ
cana-691	8	10	environment	environment	NOUN
cana-691	8	11	for	for	ADP
cana-691	8	12	conducting	conduct	VERB
cana-691	8	13	business	business	NOUN
cana-691	8	14	.	.	PUNCT
cana-691	9	1	in	in	ADP
cana-691	9	2	the	the	DET
cana-691	9	3	process	process	NOUN
cana-691	9	4	of	of	ADP
cana-691	9	5	building	build	VERB
cana-691	9	6	an	an	DET
cana-691	9	7	e	e	NOUN
cana-691	9	8	-	-	NOUN
cana-691	9	9	commerce	commerce	NOUN
cana-691	9	10	system	system	NOUN
cana-691	9	11	,	,	PUNCT
cana-691	9	12	the	the	DET
cana-691	9	13	most	most	ADV
cana-691	9	14	challenging	challenging	ADJ
cana-691	9	15	aspect	aspect	NOUN
cana-691	9	16	is	be	AUX
cana-691	9	17	ensuring	ensure	VERB
cana-691	9	18	user	user	NOUN
cana-691	9	19	security	security	NOUN
cana-691	9	20	during	during	ADP
cana-691	9	21	online	online	ADJ
cana-691	9	22	transactions	transaction	NOUN
cana-691	9	23	.	.	PUNCT
cana-691	10	1	security	security	NOUN
cana-691	10	2	methods	method	NOUN
cana-691	10	3	for	for	ADP
cana-691	10	4	intrusion	intrusion	NOUN
cana-691	10	5	detection	detection	NOUN
cana-691	10	6	were	be	AUX
cana-691	10	7	investigated	investigate	VERB
cana-691	10	8	in	in	ADP
cana-691	10	9	this	this	DET
cana-691	10	10	study	study	NOUN
cana-691	10	11	.	.	PUNCT
cana-691	11	1	the	the	DET
cana-691	11	2	need	need	NOUN
cana-691	11	3	for	for	ADP
cana-691	11	4	ongoing	ongoing	ADJ
cana-691	11	5	intrusion	intrusion	NOUN
cana-691	11	6	detection	detection	NOUN
cana-691	11	7	monitoring	monitoring	NOUN
cana-691	11	8	stems	stem	VERB
cana-691	11	9	from	from	ADP
cana-691	11	10	the	the	DET
cana-691	11	11	need	need	NOUN
cana-691	11	12	for	for	ADP
cana-691	11	13	continued	continue	VERB
cana-691	11	14	technological	technological	ADJ
cana-691	11	15	adaptation	adaptation	NOUN
cana-691	11	16	,	,	PUNCT
cana-691	11	17	which	which	PRON
cana-691	11	18	leads	lead	VERB
cana-691	11	19	to	to	ADP
cana-691	11	20	a	a	DET
cana-691	11	21	comparison	comparison	NOUN
cana-691	11	22	of	of	ADP
cana-691	11	23	adaptive	adaptive	ADJ
cana-691	11	24	artificial	artificial	ADJ
cana-691	11	25	intelligence	intelligence	NOUN
cana-691	11	26	-	-	PUNCT
cana-691	11	27	based	base	VERB
cana-691	11	28	intrusion	intrusion	NOUN
cana-691	11	29	detection	detection	NOUN
cana-691	11	30	systems	system	NOUN
cana-691	11	31	.	.	PUNCT
cana-691	12	1	this	this	DET
cana-691	12	2	paper	paper	NOUN
cana-691	12	3	demonstrates	demonstrate	VERB
cana-691	12	4	the	the	DET
cana-691	12	5	use	use	NOUN
cana-691	12	6	of	of	ADP
cana-691	12	7	reinforcement	reinforcement	NOUN
cana-691	12	8	learning	learning	NOUN
cana-691	12	9	(	(	PUNCT
cana-691	12	10	rl	rl	NOUN
cana-691	12	11	)	)	PUNCT
cana-691	12	12	and	and	CCONJ
cana-691	12	13	regression	regression	NOUN
cana-691	12	14	learning	learning	NOUN
cana-691	12	15	-	-	PUNCT
cana-691	12	16	based	base	VERB
cana-691	12	17	intrusion	intrusion	NOUN
cana-691	12	18	detection	detection	NOUN
cana-691	12	19	systems	system	NOUN
cana-691	12	20	(	(	PUNCT
cana-691	12	21	ids	id	NOUN
cana-691	12	22	)	)	PUNCT
cana-691	12	23	to	to	ADP
cana-691	12	24	very	very	ADV
cana-691	12	25	challenging	challenging	ADJ
cana-691	12	26	problems	problem	NOUN
cana-691	12	27	,	,	PUNCT
cana-691	12	28	including	include	VERB
cana-691	12	29	resource	resource	NOUN
cana-691	12	30	allocation	allocation	NOUN
cana-691	12	31	and	and	CCONJ
cana-691	12	32	input	input	NOUN
cana-691	12	33	feature	feature	NOUN
cana-691	12	34	selection	selection	NOUN
cana-691	12	35	.	.	PUNCT
cana-691	13	1	keywords	keyword	NOUN
cana-691	13	2	:	:	PUNCT
cana-691	13	3	reinforcement	reinforcement	NOUN
cana-691	13	4	learning	learning	NOUN
cana-691	13	5	,	,	PUNCT
cana-691	13	6	linear	linear	ADJ
cana-691	13	7	regression	regression	NOUN
cana-691	13	8	,	,	PUNCT
cana-691	13	9	logistic	logistic	ADJ
cana-691	13	10	regression	regression	NOUN
cana-691	13	11	,	,	PUNCT
cana-691	13	12	intrusion	intrusion	NOUN
cana-691	13	13	detection	detection	NOUN
cana-691	13	14	,	,	PUNCT
cana-691	13	15	kdd	kdd	PROPN
cana-691	13	16	dataset	dataset	PROPN
cana-691	13	17	.	.	PUNCT
cana-691	14	1	1	1	X
cana-691	14	2	.	.	X
cana-691	14	3	introduction	introduction	NOUN
cana-691	14	4	electronic	electronic	ADJ
cana-691	14	5	commerce	commerce	NOUN
cana-691	14	6	(	(	PUNCT
cana-691	14	7	e	e	NOUN
cana-691	14	8	-	-	NOUN
cana-691	14	9	commerce	commerce	NOUN
cana-691	14	10	)	)	PUNCT
cana-691	14	11	is	be	AUX
cana-691	14	12	the	the	DET
cana-691	14	13	only	only	ADJ
cana-691	14	14	way	way	NOUN
cana-691	14	15	to	to	PART
cana-691	14	16	meet	meet	VERB
cana-691	14	17	the	the	DET
cana-691	14	18	needs	need	NOUN
cana-691	14	19	of	of	ADP
cana-691	14	20	business	business	NOUN
cana-691	14	21	organizations	organization	NOUN
cana-691	14	22	in	in	ADP
cana-691	14	23	the	the	DET
cana-691	14	24	modern	modern	ADJ
cana-691	14	25	,	,	PUNCT
cana-691	14	26	digital	digital	ADJ
cana-691	14	27	age	age	NOUN
cana-691	14	28	.	.	PUNCT
cana-691	15	1	delivery	delivery	NOUN
cana-691	15	2	times	time	NOUN
cana-691	15	3	are	be	AUX
cana-691	15	4	accelerated	accelerate	VERB
cana-691	15	5	by	by	ADP
cana-691	15	6	e	e	NOUN
cana-691	15	7	-	-	NOUN
cana-691	15	8	commerce	commerce	NOUN
cana-691	15	9	,	,	PUNCT
cana-691	15	10	which	which	PRON
cana-691	15	11	provides	provide	VERB
cana-691	15	12	premium	premium	ADJ
cana-691	15	13	products	product	NOUN
cana-691	15	14	at	at	ADP
cana-691	15	15	reduced	reduce	VERB
cana-691	15	16	costs	cost	NOUN
cana-691	15	17	.	.	PUNCT
cana-691	16	1	sometimes	sometimes	ADV
cana-691	16	2	it	it	PRON
cana-691	16	3	's	be	AUX
cana-691	16	4	referred	refer	VERB
cana-691	16	5	to	to	ADP
cana-691	16	6	as	as	SCONJ
cana-691	16	7	paperless	paperless	NOUN
cana-691	16	8	business	business	NOUN
cana-691	16	9	information	information	NOUN
cana-691	16	10	sharing	sharing	NOUN
cana-691	16	11	.	.	PUNCT
cana-691	17	1	due	due	ADP
cana-691	17	2	to	to	ADP
cana-691	17	3	its	its	PRON
cana-691	17	4	many	many	ADJ
cana-691	17	5	features	feature	NOUN
cana-691	17	6	,	,	PUNCT
cana-691	17	7	including	include	VERB
cana-691	17	8	non	non	ADJ
cana-691	17	9	-	-	ADJ
cana-691	17	10	cash	cash	ADJ
cana-691	17	11	payments	payment	NOUN
cana-691	17	12	,	,	PUNCT
cana-691	17	13	round	round	ADP
cana-691	17	14	-	-	PUNCT
cana-691	17	15	the	the	DET
cana-691	17	16	-	-	PUNCT
cana-691	17	17	clock	clock	NOUN
cana-691	17	18	services	service	NOUN
cana-691	17	19	,	,	PUNCT
cana-691	17	20	improved	improve	VERB
cana-691	17	21	marketing	marketing	NOUN
cana-691	17	22	management	management	NOUN
cana-691	17	23	,	,	PUNCT
cana-691	17	24	preand	preand	VERB
cana-691	17	25	post	post	ADJ
cana-691	17	26	-	-	ADJ
cana-691	17	27	sale	sale	ADJ
cana-691	17	28	services	service	NOUN
cana-691	17	29	,	,	PUNCT
cana-691	17	30	and	and	CCONJ
cana-691	17	31	prompt	prompt	ADJ
cana-691	17	32	and	and	CCONJ
cana-691	17	33	trustworthy	trustworthy	ADJ
cana-691	17	34	customer	customer	NOUN
cana-691	17	35	communication	communication	NOUN
cana-691	17	36	,	,	PUNCT
cana-691	17	37	business	business	NOUN
cana-691	17	38	partners	partner	NOUN
cana-691	17	39	prefer	prefer	VERB
cana-691	17	40	it	it	PRON
cana-691	17	41	.	.	PUNCT
cana-691	18	1	it	it	PRON
cana-691	18	2	acts	act	VERB
cana-691	18	3	as	as	ADP
cana-691	18	4	a	a	DET
cana-691	18	5	single	single	ADJ
cana-691	18	6	platform	platform	NOUN
cana-691	18	7	for	for	ADP
cana-691	18	8	information	information	NOUN
cana-691	18	9	exchange	exchange	NOUN
cana-691	18	10	,	,	PUNCT
cana-691	18	11	maintaining	maintain	VERB
cana-691	18	12	strategies	strategy	NOUN
cana-691	18	13	,	,	PUNCT
cana-691	18	14	and	and	CCONJ
cana-691	18	15	assisting	assist	VERB
cana-691	18	16	with	with	ADP
cana-691	18	17	international	international	ADJ
cana-691	18	18	company	company	NOUN
cana-691	18	19	operations	operation	NOUN
cana-691	18	20	.	.	PUNCT
cana-691	19	1	apart	apart	ADV
cana-691	19	2	from	from	ADP
cana-691	19	3	these	these	DET
cana-691	19	4	advantages	advantage	NOUN
cana-691	19	5	,	,	PUNCT
cana-691	19	6	ecommerce	ecommerce	NOUN
cana-691	19	7	has	have	VERB
cana-691	19	8	two	two	NUM
cana-691	19	9	main	main	ADJ
cana-691	19	10	non	non	ADJ
cana-691	19	11	-	-	ADJ
cana-691	19	12	technical	technical	ADJ
cana-691	19	13	and	and	CCONJ
cana-691	19	14	technological	technological	ADJ
cana-691	19	15	drawbacks	drawback	NOUN
cana-691	19	16	.	.	PUNCT
cana-691	20	1	the	the	DET
cana-691	20	2	main	main	ADJ
cana-691	20	3	technological	technological	ADJ
cana-691	20	4	shortcoming	shortcoming	NOUN
cana-691	20	5	of	of	ADP
cana-691	20	6	the	the	DET
cana-691	20	7	system	system	NOUN
cana-691	20	8	is	be	AUX
cana-691	20	9	its	its	PRON
cana-691	20	10	security	security	NOUN
cana-691	20	11	,	,	PUNCT
cana-691	20	12	which	which	PRON
cana-691	20	13	is	be	AUX
cana-691	20	14	the	the	DET
cana-691	20	15	result	result	NOUN
cana-691	20	16	of	of	ADP
cana-691	20	17	poor	poor	ADJ
cana-691	20	18	algorithm	algorithm	NOUN
cana-691	20	19	implementation	implementation	NOUN
cana-691	20	20	.	.	PUNCT
cana-691	21	1	providing	provide	VERB
cana-691	21	2	security	security	NOUN
cana-691	21	3	for	for	ADP
cana-691	21	4	online	online	ADJ
cana-691	21	5	transactions	transaction	NOUN
cana-691	21	6	on	on	ADP
cana-691	21	7	the	the	DET
cana-691	21	8	user	user	NOUN
cana-691	21	9	's	's	PART
cana-691	21	10	end	end	NOUN
cana-691	21	11	is	be	AUX
cana-691	21	12	a	a	DET
cana-691	21	13	difficult	difficult	ADJ
cana-691	21	14	task	task	NOUN
cana-691	21	15	.	.	PUNCT
cana-691	22	1	the	the	DET
cana-691	22	2	owner	owner	NOUN
cana-691	22	3	and	and	CCONJ
cana-691	22	4	user	user	NOUN
cana-691	22	5	will	will	AUX
cana-691	22	6	suffer	suffer	VERB
cana-691	22	7	an	an	DET
cana-691	22	8	unsupportable	unsupportable	ADJ
cana-691	22	9	financial	financial	ADJ
cana-691	22	10	loss	loss	NOUN
cana-691	22	11	.	.	PUNCT
cana-691	23	1	the	the	DET
cana-691	23	2	reason	reason	NOUN
cana-691	23	3	that	that	PRON
cana-691	23	4	causes	cause	VERB
cana-691	23	5	this	this	DET
cana-691	23	6	loss	loss	NOUN
cana-691	23	7	in	in	ADP
cana-691	23	8	e	e	NOUN
cana-691	23	9	-	-	NOUN
cana-691	23	10	commerce	commerce	NOUN
cana-691	23	11	is	be	AUX
cana-691	23	12	the	the	DET
cana-691	23	13	mailto:praveenshukla26@gmail.com	mailto:praveenshukla26@gmail.com	PROPN
cana-691	23	14	communications	communication	NOUN
cana-691	23	15	on	on	ADP
cana-691	23	16	applied	apply	VERB
cana-691	23	17	nonlinear	nonlinear	ADJ
cana-691	23	18	analysis	analysis	NOUN
cana-691	23	19	issn	issn	NOUN
cana-691	23	20	:	:	PUNCT
cana-691	23	21	1074	1074	NUM
cana-691	23	22	-	-	PUNCT
cana-691	23	23	133x	133x	NUM
cana-691	23	24	vol	vol	NOUN
cana-691	23	25	31	31	NUM
cana-691	23	26	no	no	NOUN
cana-691	23	27	.	.	PUNCT
cana-691	24	1	2s	2s	NUM
cana-691	24	2	(	(	PUNCT
cana-691	24	3	2024	2024	NUM
cana-691	24	4	)	)	PUNCT
cana-691	24	5	640	640	NUM
cana-691	24	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-691	24	7	downtime	downtime	NOUN
cana-691	24	8	brought	bring	VERB
cana-691	24	9	on	on	ADP
cana-691	24	10	by	by	ADP
cana-691	24	11	an	an	DET
cana-691	24	12	intrusion	intrusion	NOUN
cana-691	24	13	attack	attack	NOUN
cana-691	24	14	.	.	PUNCT
cana-691	25	1	as	as	ADP
cana-691	25	2	a	a	DET
cana-691	25	3	result	result	NOUN
cana-691	25	4	,	,	PUNCT
cana-691	25	5	this	this	DET
cana-691	25	6	study	study	NOUN
cana-691	25	7	uses	use	VERB
cana-691	25	8	intrusion	intrusion	NOUN
cana-691	25	9	detection	detection	NOUN
cana-691	25	10	algorithms	algorithm	NOUN
cana-691	25	11	to	to	PART
cana-691	25	12	analyse	analyse	VERB
cana-691	25	13	security	security	NOUN
cana-691	25	14	algorithms	algorithm	NOUN
cana-691	25	15	.	.	PUNCT
cana-691	26	1	2	2	X
cana-691	26	2	.	.	X
cana-691	26	3	literature	literature	PROPN
cana-691	26	4	review	review	PROPN
cana-691	26	5	paper	paper	NOUN
cana-691	26	6	title	title	NOUN
cana-691	26	7	research	research	NOUN
cana-691	26	8	technique	technique	NOUN
cana-691	26	9	future	future	ADJ
cana-691	26	10	scope	scope	NOUN
cana-691	26	11	semi	semi	ADV
cana-691	26	12	-	-	ADJ
cana-691	26	13	supervised	supervised	ADJ
cana-691	26	14	multilayered	multilayered	ADJ
cana-691	26	15	clustering	clustering	NOUN
cana-691	26	16	model	model	NOUN
cana-691	26	17	for	for	ADP
cana-691	26	18	intrusion	intrusion	NOUN
cana-691	26	19	detection	detection	NOUN
cana-691	26	20	.	.	PUNCT
cana-691	27	1	digital	digital	ADJ
cana-691	27	2	communications	communication	NOUN
cana-691	27	3	and	and	CCONJ
cana-691	27	4	networks	network	NOUN
cana-691	27	5	4(4	4(4	NOUN
cana-691	27	6	):	):	PUNCT
cana-691	27	7	277	277	NUM
cana-691	27	8	-	-	SYM
cana-691	27	9	286	286	NUM
cana-691	27	10	.	.	PUNCT
cana-691	28	1	in	in	ADP
cana-691	28	2	this	this	DET
cana-691	28	3	paper	paper	NOUN
cana-691	28	4	smlc	smlc	NOUN
cana-691	28	5	(	(	PUNCT
cana-691	28	6	an	an	DET
cana-691	28	7	ensemble	ensemble	ADJ
cana-691	28	8	model	model	NOUN
cana-691	28	9	of	of	ADP
cana-691	28	10	multiple	multiple	ADJ
cana-691	28	11	randomized	randomized	ADJ
cana-691	28	12	layers	layer	NOUN
cana-691	28	13	using	use	VERB
cana-691	28	14	k	k	PROPN
cana-691	28	15	means	mean	VERB
cana-691	28	16	algorithm	algorithm	NOUN
cana-691	28	17	)	)	PUNCT
cana-691	28	18	is	be	AUX
cana-691	28	19	made	make	VERB
cana-691	28	20	and	and	CCONJ
cana-691	28	21	then	then	ADV
cana-691	28	22	this	this	DET
cana-691	28	23	model	model	NOUN
cana-691	28	24	result	result	NOUN
cana-691	28	25	is	be	AUX
cana-691	28	26	compared	compare	VERB
cana-691	28	27	with	with	ADP
cana-691	28	28	the	the	DET
cana-691	28	29	known	know	VERB
cana-691	28	30	ml	ml	NOUN
cana-691	28	31	algorithms	algorithm	NOUN
cana-691	28	32	such	such	ADJ
cana-691	28	33	as	as	ADP
cana-691	28	34	random	random	ADJ
cana-691	28	35	forest	forest	NOUN
cana-691	28	36	,	,	PUNCT
cana-691	28	37	adaboost	adaboost	ADV
cana-691	28	38	,	,	PUNCT
cana-691	28	39	bagging	bag	VERB
cana-691	28	40	to	to	PART
cana-691	28	41	detect	detect	VERB
cana-691	28	42	the	the	DET
cana-691	28	43	accuracy	accuracy	NOUN
cana-691	28	44	of	of	ADP
cana-691	28	45	the	the	DET
cana-691	28	46	model	model	NOUN
cana-691	28	47	.	.	PUNCT
cana-691	29	1	the	the	DET
cana-691	29	2	smlc	smlc	NOUN
cana-691	29	3	model	model	NOUN
cana-691	29	4	reduces	reduce	VERB
cana-691	29	5	the	the	DET
cana-691	29	6	computational	computational	ADJ
cana-691	29	7	cost	cost	NOUN
cana-691	29	8	and	and	CCONJ
cana-691	29	9	can	can	AUX
cana-691	29	10	process	process	VERB
cana-691	29	11	large	large	ADJ
cana-691	29	12	amounts	amount	NOUN
cana-691	29	13	of	of	ADP
cana-691	29	14	data	datum	NOUN
cana-691	29	15	.	.	PUNCT
cana-691	30	1	smlc	smlc	NOUN
cana-691	30	2	has	have	VERB
cana-691	30	3	a	a	DET
cana-691	30	4	relatively	relatively	ADV
cana-691	30	5	high	high	ADJ
cana-691	30	6	testing	testing	NOUN
cana-691	30	7	time	time	NOUN
cana-691	30	8	.	.	PUNCT
cana-691	31	1	in	in	ADP
cana-691	31	2	future	future	ADJ
cana-691	31	3	work	work	NOUN
cana-691	31	4	should	should	AUX
cana-691	31	5	be	be	AUX
cana-691	31	6	done	do	VERB
cana-691	31	7	to	to	PART
cana-691	31	8	improve	improve	VERB
cana-691	31	9	the	the	DET
cana-691	31	10	scalability	scalability	NOUN
cana-691	31	11	of	of	ADP
cana-691	31	12	smlc	smlc	NOUN
cana-691	31	13	,	,	PUNCT
cana-691	31	14	automation	automation	NOUN
cana-691	31	15	of	of	ADP
cana-691	31	16	its	its	PRON
cana-691	31	17	parameter	parameter	NOUN
cana-691	31	18	tuning	tuning	NOUN
cana-691	31	19	process	process	NOUN
cana-691	31	20	and	and	CCONJ
cana-691	31	21	reduction	reduction	NOUN
cana-691	31	22	of	of	ADP
cana-691	31	23	its	its	PRON
cana-691	31	24	testing	testing	NOUN
cana-691	31	25	time	time	NOUN
cana-691	31	26	.	.	PUNCT
cana-691	32	1	performance	performance	NOUN
cana-691	32	2	evaluation	evaluation	NOUN
cana-691	32	3	of	of	ADP
cana-691	32	4	supervised	supervised	ADJ
cana-691	32	5	machine	machine	NOUN
cana-691	32	6	learning	learn	VERB
cana-691	32	7	algorithms	algorithm	NOUN
cana-691	32	8	for	for	ADP
cana-691	32	9	intrusion	intrusion	NOUN
cana-691	32	10	detectionprocedia	detectionprocedia	PROPN
cana-691	32	11	computer	computer	PROPN
cana-691	32	12	science	science	NOUN
cana-691	32	13	89(1	89(1	NUM
cana-691	32	14	):	):	PUNCT
cana-691	32	15	117123	117123	NUM
cana-691	32	16	.	.	PUNCT
cana-691	33	1	in	in	ADP
cana-691	33	2	this	this	DET
cana-691	33	3	paper	paper	NOUN
cana-691	33	4	four	four	NUM
cana-691	33	5	ml	ml	NOUN
cana-691	33	6	algorithms	algorithm	NOUN
cana-691	33	7	are	be	AUX
cana-691	33	8	used	use	VERB
cana-691	33	9	on	on	ADP
cana-691	33	10	a	a	DET
cana-691	33	11	nsl	nsl	NOUN
cana-691	33	12	-	-	PUNCT
cana-691	33	13	kdddataset	kdddataset	VERB
cana-691	33	14	and	and	CCONJ
cana-691	33	15	their	their	PRON
cana-691	33	16	accuracy	accuracy	NOUN
cana-691	33	17	,	,	PUNCT
cana-691	33	18	f	f	X
cana-691	33	19	-	-	PUNCT
cana-691	33	20	scores	score	NOUN
cana-691	33	21	,	,	PUNCT
cana-691	33	22	precision	precision	NOUN
cana-691	33	23	,	,	PUNCT
cana-691	33	24	recalls	recall	VERB
cana-691	33	25	are	be	AUX
cana-691	33	26	compared	compare	VERB
cana-691	33	27	and	and	CCONJ
cana-691	33	28	out	out	ADP
cana-691	33	29	of	of	ADP
cana-691	33	30	the	the	DET
cana-691	33	31	four	four	NUM
cana-691	33	32	models	model	NOUN
cana-691	33	33	random	random	ADJ
cana-691	33	34	forest	forest	NOUN
cana-691	33	35	model	model	NOUN
cana-691	33	36	has	have	AUX
cana-691	33	37	given	give	VERB
cana-691	33	38	the	the	DET
cana-691	33	39	best	good	ADJ
cana-691	33	40	results	result	NOUN
cana-691	33	41	.	.	PUNCT
cana-691	34	1	in	in	ADP
cana-691	34	2	future	future	ADJ
cana-691	34	3	work	work	NOUN
cana-691	34	4	can	can	AUX
cana-691	34	5	be	be	AUX
cana-691	34	6	extended	extend	VERB
cana-691	34	7	by	by	ADP
cana-691	34	8	considering	consider	VERB
cana-691	34	9	the	the	DET
cana-691	34	10	classifiers	classifier	NOUN
cana-691	34	11	for	for	ADP
cana-691	34	12	multiclass	multiclass	ADJ
cana-691	34	13	classification	classification	NOUN
cana-691	34	14	and	and	CCONJ
cana-691	34	15	considering	consider	VERB
cana-691	34	16	only	only	ADV
cana-691	34	17	the	the	DET
cana-691	34	18	important	important	ADJ
cana-691	34	19	attributes	attribute	NOUN
cana-691	34	20	for	for	ADP
cana-691	34	21	the	the	DET
cana-691	34	22	intrusion	intrusion	NOUN
cana-691	34	23	detection	detection	NOUN
cana-691	34	24	ids	id	NOUN
cana-691	34	25	for	for	ADP
cana-691	34	26	iot	iot	NOUN
cana-691	34	27	-	-	PUNCT
cana-691	34	28	based	base	VERB
cana-691	34	29	smart	smart	ADJ
cana-691	34	30	environments	environment	NOUN
cana-691	34	31	:	:	PUNCT
cana-691	34	32	a	a	DET
cana-691	34	33	survey	survey	NOUN
cana-691	34	34	journal	journal	NOUN
cana-691	34	35	of	of	ADP
cana-691	34	36	cloud	cloud	NOUN
cana-691	34	37	computing	compute	VERB
cana-691	34	38	7	7	NUM
cana-691	34	39	(	(	PUNCT
cana-691	34	40	1	1	NUM
cana-691	34	41	):	):	PUNCT
cana-691	34	42	21	21	NUM
cana-691	34	43	in	in	ADP
cana-691	34	44	this	this	DET
cana-691	34	45	paper	paper	NOUN
cana-691	34	46	the	the	DET
cana-691	34	47	ids	id	NOUN
cana-691	34	48	system	system	NOUN
cana-691	34	49	is	be	AUX
cana-691	34	50	integrated	integrate	VERB
cana-691	34	51	with	with	ADP
cana-691	34	52	the	the	DET
cana-691	34	53	iot	iot	ADJ
cana-691	34	54	smart	smart	ADJ
cana-691	34	55	applications	application	NOUN
cana-691	34	56	to	to	PART
cana-691	34	57	prevent	prevent	VERB
cana-691	34	58	attacks	attack	NOUN
cana-691	34	59	and	and	CCONJ
cana-691	34	60	security	security	NOUN
cana-691	34	61	issues	issue	NOUN
cana-691	34	62	.	.	PUNCT
cana-691	35	1	here	here	ADV
cana-691	35	2	the	the	DET
cana-691	35	3	pca	pca	PROPN
cana-691	35	4	(	(	PUNCT
cana-691	35	5	principal	principal	ADJ
cana-691	35	6	component	component	NOUN
cana-691	35	7	analysis	analysis	NOUN
cana-691	35	8	)	)	PUNCT
cana-691	35	9	algorithm	algorithm	NOUN
cana-691	35	10	is	be	AUX
cana-691	35	11	used	use	VERB
cana-691	35	12	in	in	ADP
cana-691	35	13	ids	id	NOUN
cana-691	35	14	as	as	SCONJ
cana-691	35	15	it	it	PRON
cana-691	35	16	is	be	AUX
cana-691	35	17	a	a	DET
cana-691	35	18	lightweight	lightweight	ADJ
cana-691	35	19	algorithm	algorithm	NOUN
cana-691	35	20	for	for	ADP
cana-691	35	21	iotbased	iotbase	VERB
cana-691	35	22	environment	environment	NOUN
cana-691	35	23	and	and	CCONJ
cana-691	35	24	descriptive	descriptive	ADJ
cana-691	35	25	multivariate	multivariate	NOUN
cana-691	35	26	method	method	NOUN
cana-691	35	27	for	for	ADP
cana-691	35	28	handling	handle	VERB
cana-691	35	29	quantitative	quantitative	ADJ
cana-691	35	30	data	datum	NOUN
cana-691	35	31	and	and	CCONJ
cana-691	35	32	can	can	AUX
cana-691	35	33	be	be	AUX
cana-691	35	34	extended	extend	VERB
cana-691	35	35	to	to	PART
cana-691	35	36	deal	deal	VERB
cana-691	35	37	with	with	ADP
cana-691	35	38	mixed	mixed	ADJ
cana-691	35	39	measurement	measurement	NOUN
cana-691	35	40	level	level	NOUN
cana-691	35	41	data	datum	NOUN
cana-691	35	42	.	.	PUNCT
cana-691	36	1	in	in	ADP
cana-691	36	2	future	future	ADJ
cana-691	36	3	work	work	NOUN
cana-691	36	4	can	can	AUX
cana-691	36	5	be	be	AUX
cana-691	36	6	done	do	VERB
cana-691	36	7	in	in	ADP
cana-691	36	8	the	the	DET
cana-691	36	9	areas	area	NOUN
cana-691	36	10	to	to	PART
cana-691	36	11	reduce	reduce	VERB
cana-691	36	12	the	the	DET
cana-691	36	13	monitored	monitored	ADJ
cana-691	36	14	traffic	traffic	NOUN
cana-691	36	15	and	and	CCONJ
cana-691	36	16	increase	increase	VERB
cana-691	36	17	the	the	DET
cana-691	36	18	processing	processing	NOUN
cana-691	36	19	time	time	NOUN
cana-691	36	20	and	and	CCONJ
cana-691	36	21	automate	automate	VERB
cana-691	36	22	the	the	DET
cana-691	36	23	detection	detection	NOUN
cana-691	36	24	process	process	NOUN
cana-691	36	25	without	without	ADP
cana-691	36	26	human	human	ADJ
cana-691	36	27	intervention	intervention	NOUN
cana-691	36	28	.	.	PUNCT
cana-691	37	1	intrusion	intrusion	NOUN
cana-691	37	2	detection	detection	NOUN
cana-691	37	3	in	in	ADP
cana-691	37	4	smart	smart	ADJ
cana-691	37	5	cities	city	NOUN
cana-691	37	6	using	use	VERB
cana-691	37	7	restricted	restrict	VERB
cana-691	37	8	boltzmann	boltzmann	PROPN
cana-691	37	9	machines	machine	NOUN
cana-691	37	10	.	.	PUNCT
cana-691	37	11	”	"	PUNCT
cana-691	38	1	journal	journal	NOUN
cana-691	38	2	of	of	ADP
cana-691	38	3	network	network	NOUN
cana-691	38	4	and	and	CCONJ
cana-691	38	5	computer	computer	NOUN
cana-691	38	6	applications	application	NOUN
cana-691	38	7	135	135	NUM
cana-691	38	8	(	(	PUNCT
cana-691	38	9	1	1	NUM
cana-691	38	10	):	):	PUNCT
cana-691	38	11	76	76	NUM
cana-691	38	12	-	-	SYM
cana-691	38	13	83	83	NUM
cana-691	38	14	.	.	PUNCT
cana-691	39	1	in	in	ADP
cana-691	39	2	this	this	DET
cana-691	39	3	paper	paper	NOUN
cana-691	39	4	two	two	NUM
cana-691	39	5	main	main	ADJ
cana-691	39	6	methods	method	NOUN
cana-691	39	7	are	be	AUX
cana-691	39	8	used	use	VERB
cana-691	39	9	.	.	PUNCT
cana-691	40	1	one	one	NUM
cana-691	40	2	is	be	AUX
cana-691	40	3	the	the	DET
cana-691	40	4	rbm(restricted	rbm(restricte	VERB
cana-691	40	5	boltzmann	boltzmann	PROPN
cana-691	40	6	model	model	PROPN
cana-691	40	7	)	)	PUNCT
cana-691	40	8	for	for	ADP
cana-691	40	9	feature	feature	NOUN
cana-691	40	10	extraction	extraction	NOUN
cana-691	40	11	and	and	CCONJ
cana-691	40	12	the	the	DET
cana-691	40	13	other	other	ADJ
cana-691	40	14	is	be	AUX
cana-691	40	15	classifier	classifier	NOUN
cana-691	40	16	model	model	NOUN
cana-691	40	17	for	for	ADP
cana-691	40	18	attack	attack	NOUN
cana-691	40	19	detection	detection	NOUN
cana-691	40	20	.	.	PUNCT
cana-691	41	1	in	in	ADP
cana-691	41	2	future	future	ADJ
cana-691	41	3	work	work	NOUN
cana-691	41	4	can	can	AUX
cana-691	41	5	be	be	AUX
cana-691	41	6	done	do	VERB
cana-691	41	7	to	to	PART
cana-691	41	8	reduce	reduce	VERB
cana-691	41	9	the	the	DET
cana-691	41	10	error	error	NOUN
cana-691	41	11	percentage	percentage	NOUN
cana-691	41	12	and	and	CCONJ
cana-691	41	13	detect	detect	VERB
cana-691	41	14	variety	variety	NOUN
cana-691	41	15	of	of	ADP
cana-691	41	16	attacks	attack	NOUN
cana-691	41	17	.	.	PUNCT
cana-691	42	1	communications	communication	NOUN
cana-691	42	2	on	on	ADP
cana-691	42	3	applied	apply	VERB
cana-691	42	4	nonlinear	nonlinear	ADJ
cana-691	42	5	analysis	analysis	NOUN
cana-691	42	6	issn	issn	NOUN
cana-691	42	7	:	:	PUNCT
cana-691	42	8	1074	1074	NUM
cana-691	42	9	-	-	PUNCT
cana-691	42	10	133x	133x	NUM
cana-691	42	11	vol	vol	NOUN
cana-691	42	12	31	31	NUM
cana-691	42	13	no	no	NOUN
cana-691	42	14	.	.	PUNCT
cana-691	43	1	2s	2s	NUM
cana-691	43	2	(	(	PUNCT
cana-691	43	3	2024	2024	NUM
cana-691	43	4	)	)	PUNCT
cana-691	43	5	641	641	NUM
cana-691	43	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-691	43	7	3	3	NUM
cana-691	43	8	.	.	PUNCT
cana-691	43	9	materials	material	NOUN
cana-691	43	10	and	and	CCONJ
cana-691	43	11	methodology	methodology	NOUN
cana-691	43	12	step1	step1	PROPN
cana-691	43	13	:	:	PUNCT
cana-691	43	14	import	import	NOUN
cana-691	43	15	libraries	library	NOUN
cana-691	43	16	and	and	CCONJ
cana-691	43	17	load	load	VERB
cana-691	43	18	dataset	dataset	ADJ
cana-691	43	19	step2	step2	PROPN
cana-691	43	20	:	:	PUNCT
cana-691	43	21	data	datum	NOUN
cana-691	43	22	pre	pre	ADJ
cana-691	43	23	-	-	ADJ
cana-691	43	24	processing	processing	ADJ
cana-691	43	25	scaling	scaling	NOUN
cana-691	43	26	numerical	numerical	ADJ
cana-691	43	27	attributes	attribute	NOUN
cana-691	43	28	:	:	PUNCT
cana-691	43	29	taking	take	VERB
cana-691	43	30	away	away	ADP
cana-691	43	31	the	the	DET
cana-691	43	32	mean	mean	NOUN
cana-691	43	33	and	and	CCONJ
cana-691	43	34	scaling	scale	VERB
cana-691	43	35	to	to	ADP
cana-691	43	36	one	one	NUM
cana-691	43	37	variance	variance	NOUN
cana-691	43	38	will	will	AUX
cana-691	43	39	normalize	normalize	VERB
cana-691	43	40	the	the	DET
cana-691	43	41	characteristics	characteristic	NOUN
cana-691	43	42	.	.	PUNCT
cana-691	44	1	statistics	statistic	NOUN
cana-691	44	2	regarding	regard	VERB
cana-691	44	3	the	the	DET
cana-691	44	4	cases	case	NOUN
cana-691	44	5	in	in	ADP
cana-691	44	6	the	the	DET
cana-691	44	7	training	training	NOUN
cana-691	44	8	phase	phase	NOUN
cana-691	44	9	are	be	AUX
cana-691	44	10	independently	independently	ADV
cana-691	44	11	targeted	target	VERB
cana-691	44	12	and	and	CCONJ
cana-691	44	13	adjusted	adjust	VERB
cana-691	44	14	by	by	ADP
cana-691	44	15	computing	compute	VERB
cana-691	44	16	each	each	DET
cana-691	44	17	attribute	attribute	NOUN
cana-691	44	18	.	.	PUNCT
cana-691	45	1	the	the	DET
cana-691	45	2	data	datum	NOUN
cana-691	45	3	that	that	PRON
cana-691	45	4	follows	follow	VERB
cana-691	45	5	are	be	AUX
cana-691	45	6	then	then	ADV
cana-691	45	7	modified	modify	VERB
cana-691	45	8	using	use	VERB
cana-691	45	9	the	the	DET
cana-691	45	10	standard	standard	ADJ
cana-691	45	11	error	error	NOUN
cana-691	45	12	and	and	CCONJ
cana-691	45	13	average	average	NOUN
cana-691	45	14	that	that	PRON
cana-691	45	15	were	be	AUX
cana-691	45	16	created	create	VERB
cana-691	45	17	earlier	early	ADV
cana-691	45	18	.	.	PUNCT
cana-691	46	1	many	many	ADJ
cana-691	46	2	approximations	approximation	NOUN
cana-691	46	3	require	require	VERB
cana-691	46	4	dataset	dataset	ADJ
cana-691	46	5	uniformity	uniformity	NOUN
cana-691	46	6	;	;	PUNCT
cana-691	46	7	if	if	SCONJ
cana-691	46	8	the	the	DET
cana-691	46	9	specific	specific	ADJ
cana-691	46	10	qualities	quality	NOUN
cana-691	46	11	do	do	AUX
cana-691	46	12	not	not	PART
cana-691	46	13	match	match	VERB
cana-691	46	14	standard	standard	ADJ
cana-691	46	15	data	datum	NOUN
cana-691	46	16	that	that	PRON
cana-691	46	17	is	be	AUX
cana-691	46	18	normally	normally	ADV
cana-691	46	19	distributed	distribute	VERB
cana-691	46	20	,	,	PUNCT
cana-691	46	21	they	they	PRON
cana-691	46	22	may	may	AUX
cana-691	46	23	perform	perform	VERB
cana-691	46	24	poorly	poorly	ADV
cana-691	46	25	.	.	PUNCT
cana-691	47	1	pre	pre	ADJ
cana-691	47	2	-	-	ADJ
cana-691	47	3	processing	processing	NOUN
cana-691	47	4	of	of	ADP
cana-691	47	5	data	datum	NOUN
cana-691	47	6	●	●	NUM
cana-691	47	7	dataset	dataset	NOUN
cana-691	47	8	had	have	VERB
cana-691	47	9	45	45	NUM
cana-691	47	10	attributes	attribute	NOUN
cana-691	47	11	and	and	CCONJ
cana-691	47	12	175341	175341	NUM
cana-691	47	13	rows	row	NOUN
cana-691	47	14	.	.	PUNCT
cana-691	48	1	●	●	PUNCT
cana-691	48	2	the	the	DET
cana-691	48	3	dataset	dataset	NOUN
cana-691	48	4	has	have	VERB
cana-691	48	5	81173	81173	NUM
cana-691	48	6	rows	row	NOUN
cana-691	48	7	and	and	CCONJ
cana-691	48	8	45	45	NUM
cana-691	48	9	attributes	attribute	NOUN
cana-691	48	10	after	after	SCONJ
cana-691	48	11	the	the	DET
cana-691	48	12	null	null	ADJ
cana-691	48	13	values	value	NOUN
cana-691	48	14	were	be	AUX
cana-691	48	15	removed	remove	VERB
cana-691	48	16	.	.	PUNCT
cana-691	49	1	●	●	PUNCT
cana-691	49	2	utilizing	utilize	VERB
cana-691	49	3	given	give	VERB
cana-691	49	4	data	datum	NOUN
cana-691	49	5	type	type	NOUN
cana-691	49	6	information	information	NOUN
cana-691	49	7	from	from	ADP
cana-691	49	8	the	the	DET
cana-691	49	9	features	feature	NOUN
cana-691	49	10	dataset	dataset	VERB
cana-691	49	11	,	,	PUNCT
cana-691	49	12	the	the	DET
cana-691	49	13	data	data	NOUN
cana-691	49	14	type	type	NOUN
cana-691	49	15	of	of	ADP
cana-691	49	16	attributes	attribute	NOUN
cana-691	49	17	is	be	AUX
cana-691	49	18	converted	convert	VERB
cana-691	49	19	.	.	PUNCT
cana-691	50	1	communications	communication	NOUN
cana-691	50	2	on	on	ADP
cana-691	50	3	applied	apply	VERB
cana-691	50	4	nonlinear	nonlinear	ADJ
cana-691	50	5	analysis	analysis	NOUN
cana-691	50	6	issn	issn	NOUN
cana-691	50	7	:	:	PUNCT
cana-691	50	8	1074	1074	NUM
cana-691	50	9	-	-	PUNCT
cana-691	50	10	133x	133x	NUM
cana-691	50	11	vol	vol	NOUN
cana-691	50	12	31	31	NUM
cana-691	50	13	no	no	NOUN
cana-691	50	14	.	.	PUNCT
cana-691	51	1	2s	2s	NUM
cana-691	51	2	(	(	PUNCT
cana-691	51	3	2024	2024	NUM
cana-691	51	4	)	)	PUNCT
cana-691	51	5	642	642	NUM
cana-691	51	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-691	51	7	step3	step3	PROPN
cana-691	51	8	:	:	PUNCT
cana-691	51	9	data	datum	NOUN
cana-691	51	10	cleansing	cleansing	NOUN
cana-691	51	11	,	,	PUNCT
cana-691	51	12	normalization	normalization	NOUN
cana-691	51	13	,	,	PUNCT
cana-691	51	14	and	and	CCONJ
cana-691	51	15	null	null	ADJ
cana-691	51	16	value	value	NOUN
cana-691	51	17	detection	detection	NOUN
cana-691	51	18	in	in	ADP
cana-691	51	19	python	python	NOUN
cana-691	51	20	label	label	NOUN
cana-691	51	21	encoding	encoding	NOUN
cana-691	51	22	,	,	PUNCT
cana-691	51	23	the	the	DET
cana-691	51	24	category	category	NOUN
cana-691	51	25	value	value	NOUN
cana-691	51	26	must	must	AUX
cana-691	51	27	be	be	AUX
cana-691	51	28	changed	change	VERB
cana-691	51	29	to	to	ADP
cana-691	51	30	a	a	DET
cana-691	51	31	numeric	numeric	ADJ
cana-691	51	32	value	value	NOUN
cana-691	51	33	in	in	ADP
cana-691	51	34	the	the	DET
cana-691	51	35	range	range	NOUN
cana-691	51	36	of	of	ADP
cana-691	51	37	0	0	NUM
cana-691	51	38	to	to	ADP
cana-691	51	39	the	the	DET
cana-691	51	40	class	class	NOUN
cana-691	51	41	labels	label	NOUN
cana-691	51	42	'	'	PART
cana-691	51	43	total	total	ADJ
cana-691	51	44	number	number	NOUN
cana-691	51	45	,	,	PUNCT
cana-691	51	46	minus	minus	CCONJ
cana-691	51	47	one	one	NUM
cana-691	51	48	.	.	PUNCT
cana-691	52	1	if	if	SCONJ
cana-691	52	2	the	the	DET
cana-691	52	3	outcome	outcome	NOUN
cana-691	52	4	of	of	ADP
cana-691	52	5	the	the	DET
cana-691	52	6	category	category	NOUN
cana-691	52	7	variable	variable	NOUN
cana-691	52	8	.	.	PUNCT
cana-691	53	1	data	datum	NOUN
cana-691	53	2	normalization	normalization	NOUN
cana-691	53	3	●	●	NUM
cana-691	53	4	normalization	normalization	NOUN
cana-691	53	5	of	of	ADP
cana-691	53	6	data	data	NOUN
cana-691	53	7	58	58	NUM
cana-691	53	8	data	datum	NOUN
cana-691	53	9	frame	frame	NOUN
cana-691	53	10	's	's	PART
cana-691	53	11	numeric	numeric	ADJ
cana-691	53	12	columns	column	NOUN
cana-691	53	13	are	be	AUX
cana-691	53	14	scaled	scale	VERB
cana-691	53	15	from	from	ADP
cana-691	53	16	0	0	NUM
cana-691	53	17	to	to	ADP
cana-691	53	18	1	1	NUM
cana-691	53	19	using	use	VERB
cana-691	53	20	the	the	DET
cana-691	53	21	min	min	PROPN
cana-691	53	22	max	max	PROPN
cana-691	53	23	scaler	scaler	PROPN
cana-691	53	24	.	.	PUNCT
cana-691	54	1	binary	binary	ADJ
cana-691	54	2	classification	classification	NOUN
cana-691	54	3	preparation	preparation	NOUN
cana-691	54	4	●	●	PUNCT
cana-691	54	5	the	the	DET
cana-691	54	6	data	data	NOUN
cana-691	54	7	frame	frame	NOUN
cana-691	54	8	is	be	AUX
cana-691	54	9	duplicated	duplicate	VERB
cana-691	54	10	for	for	ADP
cana-691	54	11	the	the	DET
cana-691	54	12	binary	binary	ADJ
cana-691	54	13	classification	classification	NOUN
cana-691	54	14	process	process	NOUN
cana-691	54	15	.	.	PUNCT
cana-691	55	1	●	●	PUNCT
cana-691	55	2	the	the	DET
cana-691	55	3	'	'	PUNCT
cana-691	55	4	label	label	NOUN
cana-691	55	5	'	'	PUNCT
cana-691	55	6	property	property	NOUN
cana-691	55	7	is	be	AUX
cana-691	55	8	divided	divide	VERB
cana-691	55	9	into	into	ADP
cana-691	55	10	two	two	NUM
cana-691	55	11	groups	group	NOUN
cana-691	55	12	:	:	PUNCT
cana-691	55	13	'	'	PUNCT
cana-691	55	14	normal	normal	ADJ
cana-691	55	15	'	'	PUNCT
cana-691	55	16	and	and	CCONJ
cana-691	55	17	'	'	PUNCT
cana-691	55	18	abnormal	abnormal	ADJ
cana-691	55	19	'	'	PUNCT
cana-691	55	20	.	.	PUNCT
cana-691	56	1	communications	communication	NOUN
cana-691	56	2	on	on	ADP
cana-691	56	3	applied	apply	VERB
cana-691	56	4	nonlinear	nonlinear	ADJ
cana-691	56	5	analysis	analysis	NOUN
cana-691	56	6	issn	issn	NOUN
cana-691	56	7	:	:	PUNCT
cana-691	56	8	1074	1074	NUM
cana-691	56	9	-	-	PUNCT
cana-691	56	10	133x	133x	NUM
cana-691	56	11	vol	vol	NOUN
cana-691	56	12	31	31	NUM
cana-691	56	13	no	no	NOUN
cana-691	56	14	.	.	PUNCT
cana-691	57	1	2s	2s	NUM
cana-691	57	2	(	(	PUNCT
cana-691	57	3	2024	2024	NUM
cana-691	57	4	)	)	PUNCT
cana-691	57	5	643	643	NUM
cana-691	57	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-691	57	7	●	●	PUNCT
cana-691	57	8	using	use	VERB
cana-691	57	9	label	label	NOUN
cana-691	57	10	encoder	encoder	NOUN
cana-691	57	11	(	(	PUNCT
cana-691	57	12	)	)	PUNCT
cana-691	57	13	,	,	PUNCT
cana-691	57	14	the	the	DET
cana-691	57	15	column	column	NOUN
cana-691	57	16	'	'	PUNCT
cana-691	57	17	label	label	NOUN
cana-691	57	18	'	'	PUNCT
cana-691	57	19	is	be	AUX
cana-691	57	20	encoded	encode	VERB
cana-691	57	21	,	,	PUNCT
cana-691	57	22	and	and	CCONJ
cana-691	57	23	the	the	DET
cana-691	57	24	resulting	result	VERB
cana-691	57	25	encoded	encode	VERB
cana-691	57	26	labels	label	NOUN
cana-691	57	27	(	(	PUNCT
cana-691	57	28	0,1	0,1	NUM
cana-691	57	29	)	)	PUNCT
cana-691	57	30	are	be	AUX
cana-691	57	31	preserved	preserve	VERB
cana-691	57	32	in	in	ADP
cana-691	57	33	the	the	DET
cana-691	57	34	column	column	NOUN
cana-691	57	35	itself	itself	PRON
cana-691	57	36	.	.	PUNCT
cana-691	58	1	●	●	PUNCT
cana-691	58	2	61	61	NUM
cana-691	58	3	columns	column	NOUN
cana-691	58	4	and	and	CCONJ
cana-691	58	5	81173	81173	NUM
cana-691	58	6	rows	row	NOUN
cana-691	58	7	in	in	ADP
cana-691	58	8	a	a	DET
cana-691	58	9	binary	binary	ADJ
cana-691	58	10	dataset	dataset	VERB
cana-691	58	11	multi	multi	ADJ
cana-691	58	12	-	-	ADJ
cana-691	58	13	class	class	ADJ
cana-691	58	14	classification	classification	NOUN
cana-691	58	15	preparation	preparation	NOUN
cana-691	58	16	●	●	PUNCT
cana-691	58	17	the	the	DET
cana-691	58	18	data	data	NOUN
cana-691	58	19	frame	frame	NOUN
cana-691	58	20	is	be	AUX
cana-691	58	21	duplicated	duplicate	VERB
cana-691	58	22	for	for	ADP
cana-691	58	23	the	the	DET
cana-691	58	24	multi	multi	ADJ
cana-691	58	25	-	-	ADJ
cana-691	58	26	class	class	ADJ
cana-691	58	27	classification	classification	NOUN
cana-691	58	28	process	process	NOUN
cana-691	58	29	.	.	PUNCT
cana-691	59	1	●	●	NUM
cana-691	59	2	nine	nine	NUM
cana-691	59	3	categories	category	NOUN
cana-691	59	4	are	be	AUX
cana-691	59	5	listed	list	VERB
cana-691	59	6	under	under	ADP
cana-691	59	7	the	the	DET
cana-691	59	8	'	'	PUNCT
cana-691	59	9	attack_cat	attack_cat	NOUN
cana-691	59	10	'	'	PUNCT
cana-691	59	11	attribute	attribute	NOUN
cana-691	59	12	:	:	PUNCT
cana-691	59	13	'	'	PUNCT
cana-691	59	14	analysis	analysis	NOUN
cana-691	59	15	'	'	PUNCT
cana-691	59	16	,	,	PUNCT
cana-691	59	17	'	'	PUNCT
cana-691	59	18	backdoor	backdoor	NOUN
cana-691	59	19	'	'	PUNCT
cana-691	59	20	,	,	PUNCT
cana-691	59	21	'	'	PUNCT
cana-691	59	22	dos	do	NOUN
cana-691	59	23	'	'	PUNCT
cana-691	59	24	,	,	PUNCT
cana-691	59	25	'	'	PUNCT
cana-691	59	26	exploits	exploit	VERB
cana-691	59	27	'	'	NUM
cana-691	59	28	,	,	PUNCT
cana-691	59	29	'	'	PUNCT
cana-691	59	30	fuzzers	fuzzer	NOUN
cana-691	59	31	'	'	PART
cana-691	59	32	,	,	PUNCT
cana-691	59	33	'	'	PUNCT
cana-691	59	34	generic	generic	ADJ
cana-691	59	35	'	'	PUNCT
cana-691	59	36	,	,	PUNCT
cana-691	59	37	'	'	PUNCT
cana-691	59	38	normal	normal	ADJ
cana-691	59	39	'	'	PUNCT
cana-691	59	40	,	,	PUNCT
cana-691	59	41	'	'	PUNCT
cana-691	59	42	reconnaissance	reconnaissance	NOUN
cana-691	59	43	'	'	PUNCT
cana-691	59	44	,	,	PUNCT
cana-691	59	45	and	and	CCONJ
cana-691	59	46	'	'	PUNCT
cana-691	59	47	worms	worm	NOUN
cana-691	59	48	'	'	PART
cana-691	59	49	.	.	PUNCT
cana-691	60	1	●	●	PUNCT
cana-691	60	2	label	label	NOUN
cana-691	60	3	encoder	encoder	NOUN
cana-691	60	4	(	(	PUNCT
cana-691	60	5	)	)	PUNCT
cana-691	60	6	is	be	AUX
cana-691	60	7	used	use	VERB
cana-691	60	8	to	to	PART
cana-691	60	9	encrypt	encrypt	VERB
cana-691	60	10	attack_cat	attack_cat	NUM
cana-691	60	11	,	,	PUNCT
cana-691	60	12	and	and	CCONJ
cana-691	60	13	the	the	DET
cana-691	60	14	accompanying	accompanying	ADJ
cana-691	60	15	encoded	encode	VERB
cana-691	60	16	labels	label	NOUN
cana-691	60	17	(	(	PUNCT
cana-691	60	18	0,1,2,3,4,5,6,7,8	0,1,2,3,4,5,6,7,8	NUM
cana-691	60	19	)	)	PUNCT
cana-691	60	20	are	be	AUX
cana-691	60	21	kept	keep	VERB
cana-691	60	22	in	in	ADP
cana-691	60	23	the	the	DET
cana-691	60	24	label	label	NOUN
cana-691	60	25	attribute	attribute	NOUN
cana-691	60	26	.	.	PUNCT
cana-691	61	1	●	●	PUNCT
cana-691	61	2	attack_cat	attack_cat	PART
cana-691	61	3	is	be	AUX
cana-691	61	4	encoded	encode	VERB
cana-691	61	5	using	use	VERB
cana-691	61	6	one	one	NUM
cana-691	61	7	-	-	PUNCT
cana-691	61	8	hot	hot	ADJ
cana-691	61	9	.	.	PUNCT
cana-691	62	1	●	●	PUNCT
cana-691	62	2	multi	multi	ADJ
cana-691	62	3	-	-	ADJ
cana-691	62	4	class	class	ADJ
cana-691	62	5	dataset	dataset	NOUN
cana-691	62	6	—	—	PUNCT
cana-691	62	7	81173	81173	NUM
cana-691	62	8	rows	row	NOUN
cana-691	62	9	,	,	PUNCT
cana-691	62	10	69	69	NUM
cana-691	62	11	columns	column	NOUN
cana-691	62	12	step4	step4	PROPN
cana-691	62	13	:	:	PUNCT
cana-691	62	14	classify	classify	VERB
cana-691	62	15	the	the	DET
cana-691	62	16	type	type	NOUN
cana-691	62	17	of	of	ADP
cana-691	62	18	attacks	attack	NOUN
cana-691	62	19	communications	communication	NOUN
cana-691	62	20	on	on	ADP
cana-691	62	21	applied	apply	VERB
cana-691	62	22	nonlinear	nonlinear	ADJ
cana-691	62	23	analysis	analysis	NOUN
cana-691	62	24	issn	issn	NOUN
cana-691	62	25	:	:	PUNCT
cana-691	62	26	1074	1074	NUM
cana-691	62	27	-	-	PUNCT
cana-691	62	28	133x	133x	NUM
cana-691	62	29	vol	vol	NOUN
cana-691	62	30	31	31	NUM
cana-691	62	31	no	no	NOUN
cana-691	62	32	.	.	PUNCT
cana-691	63	1	2s	2s	NUM
cana-691	63	2	(	(	PUNCT
cana-691	63	3	2024	2024	NUM
cana-691	63	4	)	)	PUNCT
cana-691	63	5	644	644	NUM
cana-691	63	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-691	63	7	step5	step5	NOUN
cana-691	63	8	:	:	PUNCT
cana-691	63	9	feature	feature	NOUN
cana-691	63	10	extraction	extraction	NOUN
cana-691	63	11	:	:	PUNCT
cana-691	63	12	this	this	PRON
cana-691	63	13	is	be	AUX
cana-691	63	14	the	the	DET
cana-691	63	15	procedure	procedure	NOUN
cana-691	63	16	of	of	ADP
cana-691	63	17	reducing	reduce	VERB
cana-691	63	18	the	the	DET
cana-691	63	19	number	number	NOUN
cana-691	63	20	of	of	ADP
cana-691	63	21	variables	variable	NOUN
cana-691	63	22	in	in	ADP
cana-691	63	23	a	a	DET
cana-691	63	24	statistical	statistical	ADJ
cana-691	63	25	model	model	NOUN
cana-691	63	26	.	.	PUNCT
cana-691	64	1	the	the	DET
cana-691	64	2	number	number	NOUN
cana-691	64	3	of	of	ADP
cana-691	64	4	variables	variable	NOUN
cana-691	64	5	should	should	AUX
cana-691	64	6	be	be	AUX
cana-691	64	7	kept	keep	VERB
cana-691	64	8	to	to	ADP
cana-691	64	9	a	a	DET
cana-691	64	10	minimum	minimum	NOUN
cana-691	64	11	to	to	PART
cana-691	64	12	decrease	decrease	VERB
cana-691	64	13	overall	overall	ADJ
cana-691	64	14	computation	computation	NOUN
cana-691	64	15	costs	cost	NOUN
cana-691	64	16	and	and	CCONJ
cana-691	64	17	,	,	PUNCT
cana-691	64	18	in	in	ADP
cana-691	64	19	some	some	DET
cana-691	64	20	cases	case	NOUN
cana-691	64	21	,	,	PUNCT
cana-691	64	22	to	to	PART
cana-691	64	23	improve	improve	VERB
cana-691	64	24	model	model	NOUN
cana-691	64	25	performance	performance	NOUN
cana-691	64	26	.	.	PUNCT
cana-691	65	1	the	the	DET
cana-691	65	2	input	input	NOUN
cana-691	65	3	parameters	parameter	NOUN
cana-691	65	4	with	with	ADP
cana-691	65	5	the	the	DET
cana-691	65	6	strongest	strong	ADJ
cana-691	65	7	correlation	correlation	NOUN
cana-691	65	8	to	to	ADP
cana-691	65	9	the	the	DET
cana-691	65	10	target	target	NOUN
cana-691	65	11	attribute	attribute	NOUN
cana-691	65	12	are	be	AUX
cana-691	65	13	selected	select	VERB
cana-691	65	14	after	after	SCONJ
cana-691	65	15	statistical	statistical	ADJ
cana-691	65	16	analysis	analysis	NOUN
cana-691	65	17	is	be	AUX
cana-691	65	18	used	use	VERB
cana-691	65	19	to	to	PART
cana-691	65	20	assess	assess	VERB
cana-691	65	21	the	the	DET
cana-691	65	22	relationship	relationship	NOUN
cana-691	65	23	between	between	ADP
cana-691	65	24	each	each	DET
cana-691	65	25	input	input	NOUN
cana-691	65	26	parameter	parameter	NOUN
cana-691	65	27	and	and	CCONJ
cana-691	65	28	the	the	DET
cana-691	65	29	goal	goal	NOUN
cana-691	65	30	parameter	parameter	NOUN
cana-691	65	31	.	.	PUNCT
cana-691	66	1	although	although	SCONJ
cana-691	66	2	the	the	DET
cana-691	66	3	statistical	statistical	ADJ
cana-691	66	4	measures	measure	NOUN
cana-691	66	5	utilized	utilize	VERB
cana-691	66	6	are	be	AUX
cana-691	66	7	influenced	influence	VERB
cana-691	66	8	by	by	ADP
cana-691	66	9	the	the	DET
cana-691	66	10	type	type	NOUN
cana-691	66	11	of	of	ADP
cana-691	66	12	data	datum	NOUN
cana-691	66	13	in	in	ADP
cana-691	66	14	both	both	CCONJ
cana-691	66	15	the	the	DET
cana-691	66	16	dependent	dependent	ADJ
cana-691	66	17	and	and	CCONJ
cana-691	66	18	independent	independent	ADJ
cana-691	66	19	variables	variable	NOUN
cana-691	66	20	,	,	PUNCT
cana-691	66	21	these	these	DET
cana-691	66	22	processes	process	NOUN
cana-691	66	23	can	can	AUX
cana-691	66	24	be	be	AUX
cana-691	66	25	simple	simple	ADJ
cana-691	66	26	and	and	CCONJ
cana-691	66	27	efficient	efficient	ADJ
cana-691	66	28	.	.	PUNCT
cana-691	67	1	the	the	DET
cana-691	67	2	random	random	ADJ
cana-691	67	3	forest	forest	NOUN
cana-691	67	4	gets	get	VERB
cana-691	67	5	estimates	estimate	NOUN
cana-691	67	6	from	from	ADP
cana-691	67	7	each	each	DET
cana-691	67	8	decision	decision	NOUN
cana-691	67	9	tree	tree	NOUN
cana-691	67	10	and	and	CCONJ
cana-691	67	11	calculates	calculate	VERB
cana-691	67	12	the	the	DET
cana-691	67	13	right	right	ADJ
cana-691	67	14	answer	answer	NOUN
cana-691	67	15	based	base	VERB
cana-691	67	16	on	on	ADP
cana-691	67	17	the	the	DET
cana-691	67	18	number	number	NOUN
cana-691	67	19	of	of	ADP
cana-691	67	20	votes	vote	NOUN
cana-691	67	21	cast	cast	VERB
cana-691	67	22	,	,	PUNCT
cana-691	67	23	as	as	SCONJ
cana-691	67	24	opposed	oppose	VERB
cana-691	67	25	to	to	ADP
cana-691	67	26	relying	rely	VERB
cana-691	67	27	just	just	ADV
cana-691	67	28	on	on	ADP
cana-691	67	29	one	one	NUM
cana-691	67	30	decision	decision	NOUN
cana-691	67	31	tree	tree	NOUN
cana-691	67	32	.	.	PUNCT
cana-691	68	1	compared	compare	VERB
cana-691	68	2	to	to	ADP
cana-691	68	3	other	other	ADJ
cana-691	68	4	techniques	technique	NOUN
cana-691	68	5	,	,	PUNCT
cana-691	68	6	training	training	NOUN
cana-691	68	7	takes	take	VERB
cana-691	68	8	less	less	ADJ
cana-691	68	9	time	time	NOUN
cana-691	68	10	with	with	ADP
cana-691	68	11	this	this	DET
cana-691	68	12	one	one	NOUN
cana-691	68	13	.	.	PUNCT
cana-691	69	1	even	even	ADV
cana-691	69	2	with	with	ADP
cana-691	69	3	a	a	DET
cana-691	69	4	large	large	ADJ
cana-691	69	5	dataset	dataset	NOUN
cana-691	69	6	,	,	PUNCT
cana-691	69	7	it	it	PRON
cana-691	69	8	runs	run	VERB
cana-691	69	9	quickly	quickly	ADV
cana-691	69	10	and	and	CCONJ
cana-691	69	11	communications	communication	NOUN
cana-691	69	12	on	on	ADP
cana-691	69	13	applied	apply	VERB
cana-691	69	14	nonlinear	nonlinear	ADJ
cana-691	69	15	analysis	analysis	NOUN
cana-691	69	16	issn	issn	NOUN
cana-691	69	17	:	:	PUNCT
cana-691	69	18	1074	1074	NUM
cana-691	69	19	-	-	PUNCT
cana-691	69	20	133x	133x	NUM
cana-691	69	21	vol	vol	NOUN
cana-691	69	22	31	31	NUM
cana-691	69	23	no	no	NOUN
cana-691	69	24	.	.	PUNCT
cana-691	70	1	2s	2s	NUM
cana-691	70	2	(	(	PUNCT
cana-691	70	3	2024	2024	NUM
cana-691	70	4	)	)	PUNCT
cana-691	70	5	645	645	NUM
cana-691	70	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-691	70	7	accurately	accurately	ADV
cana-691	70	8	predicts	predict	VERB
cana-691	70	9	the	the	DET
cana-691	70	10	outcome	outcome	NOUN
cana-691	70	11	.	.	PUNCT
cana-691	71	1	even	even	ADV
cana-691	71	2	in	in	ADP
cana-691	71	3	the	the	DET
cana-691	71	4	absence	absence	NOUN
cana-691	71	5	of	of	ADP
cana-691	71	6	a	a	DET
cana-691	71	7	sizable	sizable	ADJ
cana-691	71	8	volume	volume	NOUN
cana-691	71	9	of	of	ADP
cana-691	71	10	data	datum	NOUN
cana-691	71	11	,	,	PUNCT
cana-691	71	12	accuracy	accuracy	NOUN
cana-691	71	13	can	can	AUX
cana-691	71	14	still	still	ADV
cana-691	71	15	be	be	AUX
cana-691	71	16	maintained	maintain	VERB
cana-691	71	17	.	.	PUNCT
cana-691	72	1	selection	selection	NOUN
cana-691	72	2	of	of	ADP
cana-691	72	3	features	feature	VERB
cana-691	72	4	●	●	NUM
cana-691	72	5	'	'	PUNCT
cana-691	72	6	bin_data	bin_data	NOUN
cana-691	72	7	'	'	PUNCT
cana-691	72	8	has	have	VERB
cana-691	72	9	61	61	NUM
cana-691	72	10	characteristics	characteristic	NOUN
cana-691	72	11	total	total	NOUN
cana-691	72	12	.	.	PUNCT
cana-691	73	1	●	●	PUNCT
cana-691	73	2	'	'	PUNCT
cana-691	73	3	multi_data	multi_data	NOUN
cana-691	73	4	'	'	PUNCT
cana-691	73	5	has	have	VERB
cana-691	73	6	69	69	NUM
cana-691	73	7	properties	property	NOUN
cana-691	73	8	total	total	ADJ
cana-691	73	9	.	.	PUNCT
cana-691	74	1	●	●	PUNCT
cana-691	74	2	for	for	ADP
cana-691	74	3	feature	feature	NOUN
cana-691	74	4	extraction	extraction	NOUN
cana-691	74	5	,	,	PUNCT
cana-691	74	6	the	the	DET
cana-691	74	7	pearson	pearson	PROPN
cana-691	74	8	correlation	correlation	NOUN
cana-691	74	9	coefficient	coefficient	NOUN
cana-691	74	10	approach	approach	NOUN
cana-691	74	11	is	be	AUX
cana-691	74	12	employed	employ	VERB
cana-691	74	13	.	.	PUNCT
cana-691	75	1	●	●	PUNCT
cana-691	75	2	●	●	NUM
cana-691	75	3	the	the	DET
cana-691	75	4	attributes	attribute	NOUN
cana-691	75	5	with	with	ADP
cana-691	75	6	a	a	DET
cana-691	75	7	correlation	correlation	NOUN
cana-691	75	8	coefficient	coefficient	NOUN
cana-691	75	9	of	of	ADP
cana-691	75	10	more	more	ADJ
cana-691	75	11	than	than	ADP
cana-691	75	12	0.3	0.3	NUM
cana-691	75	13	to	to	ADP
cana-691	75	14	the	the	DET
cana-691	75	15	target	target	NOUN
cana-691	75	16	attribute	attribute	NOUN
cana-691	75	17	label	label	NOUN
cana-691	75	18	were	be	AUX
cana-691	75	19	chosen	choose	VERB
cana-691	75	20	.	.	PUNCT
cana-691	76	1	●	●	PUNCT
cana-691	76	2	the	the	DET
cana-691	76	3	attributes	attribute	NOUN
cana-691	76	4	with	with	ADP
cana-691	76	5	a	a	DET
cana-691	76	6	correlation	correlation	NOUN
cana-691	76	7	coefficient	coefficient	NOUN
cana-691	76	8	of	of	ADP
cana-691	76	9	more	more	ADJ
cana-691	76	10	than	than	ADP
cana-691	76	11	0.3	0.3	NUM
cana-691	76	12	to	to	ADP
cana-691	76	13	the	the	DET
cana-691	76	14	target	target	NOUN
cana-691	76	15	attribute	attribute	NOUN
cana-691	76	16	label	label	NOUN
cana-691	76	17	were	be	AUX
cana-691	76	18	chosen	choose	VERB
cana-691	76	19	●	●	NUM
cana-691	76	20	number	number	NOUN
cana-691	76	21	of	of	ADP
cana-691	76	22	'	'	PUNCT
cana-691	76	23	bin_data	bin_data	NOUN
cana-691	76	24	'	'	PUNCT
cana-691	76	25	attributes	attribute	NOUN
cana-691	76	26	after	after	ADP
cana-691	76	27	feature	feature	NOUN
cana-691	76	28	selection	selection	NOUN
cana-691	76	29	:	:	PUNCT
cana-691	76	30	15	15	NUM
cana-691	76	31	●	●	NUM
cana-691	76	32	"	"	PUNCT
cana-691	76	33	rate,""sttl,""sload,""dload,""ct_srv_src,""ct_state_ttl,""ct_dst_ltm,""ct_dst_src_ltm,""ct_src	rate,""sttl,""sload,""dload,""ct_srv_src,""ct_state_ttl,""ct_dst_ltm,""ct_dst_src_ltm,""ct_src	NOUN
cana-691	76	34	_	_	PRON
cana-691	76	35	ltm,""ct_srv_dst	ltm,""ct_srv_dst	NOUN
cana-691	76	36	,	,	PUNCT
cana-691	76	37	"	"	PUNCT
cana-691	76	38	"	"	PUNCT
cana-691	76	39	state_con	state_con	NOUN
cana-691	76	40	,	,	PUNCT
cana-691	76	41	"	"	PUNCT
cana-691	76	42	"	"	PUNCT
cana-691	76	43	state_int	state_int	NOUN
cana-691	76	44	,	,	PUNCT
cana-691	76	45	"	"	PUNCT
cana-691	76	46	and	and	CCONJ
cana-691	76	47	"	"	PUNCT
cana-691	76	48	label	label	NOUN
cana-691	76	49	.	.	PUNCT
cana-691	76	50	"	"	PUNCT
cana-691	77	1	●	●	PUNCT
cana-691	77	2	after	after	ADP
cana-691	77	3	feature	feature	NOUN
cana-691	77	4	selection	selection	NOUN
cana-691	77	5	,	,	PUNCT
cana-691	77	6	the	the	DET
cana-691	77	7	number	number	NOUN
cana-691	77	8	of	of	ADP
cana-691	77	9	"	"	PUNCT
cana-691	77	10	multi_data	multi_data	NOUN
cana-691	77	11	"	"	PUNCT
cana-691	77	12	attributes	attribute	NOUN
cana-691	77	13	is	be	AUX
cana-691	77	14	16	16	NUM
cana-691	77	15	●	●	NUM
cana-691	77	16	"	"	PUNCT
cana-691	77	17	dttl	dttl	NOUN
cana-691	77	18	,	,	PUNCT
cana-691	77	19	"	"	PUNCT
cana-691	77	20	"	"	PUNCT
cana-691	77	21	swin	swin	PROPN
cana-691	77	22	,	,	PUNCT
cana-691	77	23	"	"	PUNCT
cana-691	77	24	"	"	PUNCT
cana-691	77	25	dwin	dwin	PROPN
cana-691	77	26	,	,	PUNCT
cana-691	77	27	"	"	PUNCT
cana-691	77	28	tcprtt	tcprtt	ADJ
cana-691	77	29	,	,	PUNCT
cana-691	77	30	"	"	PUNCT
cana-691	77	31	synack	synack	NOUN
cana-691	77	32	,	,	PUNCT
cana-691	77	33	"	"	PUNCT
cana-691	77	34	ackdat	ackdat	NOUN
cana-691	77	35	,	,	PUNCT
cana-691	77	36	"	"	PUNCT
cana-691	77	37	label	label	NOUN
cana-691	77	38	,	,	PUNCT
cana-691	77	39	"	"	PUNCT
cana-691	77	40	proto_tcp,"proto_udp,"service_dns	proto_tcp,"proto_udp,"service_dns	PROPN
cana-691	77	41	,	,	PUNCT
cana-691	77	42	"	"	PUNCT
cana-691	77	43	state_con,"state_fin,"attack_cat_analysis,"attack_cat_dos,"attack_cat_exploits,"andattac	state_con,"state_fin,"attack_cat_analysis,"attack_cat_dos,"attack_cat_exploits,"andattac	PROPN
cana-691	77	44	k_cat_normal	k_cat_normal	ADJ
cana-691	77	45	.	.	PUNCT
cana-691	77	46	"	"	PUNCT
cana-691	77	47	step	step	VERB
cana-691	77	48	6	6	NUM
cana-691	77	49	:	:	PUNCT
cana-691	77	50	splitting	split	VERB
cana-691	77	51	the	the	DET
cana-691	77	52	dataset	dataset	NOUN
cana-691	77	53	into	into	ADP
cana-691	77	54	the	the	DET
cana-691	77	55	train	train	NOUN
cana-691	77	56	&	&	CCONJ
cana-691	77	57	test	test	NOUN
cana-691	77	58	sets	set	NOUN
cana-691	77	59	:	:	PUNCT
cana-691	77	60	we	we	PRON
cana-691	77	61	separate	separate	VERB
cana-691	77	62	our	our	PRON
cana-691	77	63	sample	sample	NOUN
cana-691	77	64	into	into	ADP
cana-691	77	65	a	a	DET
cana-691	77	66	test	test	NOUN
cana-691	77	67	set	set	VERB
cana-691	77	68	and	and	CCONJ
cana-691	77	69	a	a	DET
cana-691	77	70	train	train	NOUN
cana-691	77	71	set	set	NOUN
cana-691	77	72	.	.	PUNCT
cana-691	78	1	this	this	DET
cana-691	78	2	important	important	ADJ
cana-691	78	3	data	datum	NOUN
cana-691	78	4	pre	pre	ADJ
cana-691	78	5	-	-	ADJ
cana-691	78	6	processing	processing	ADJ
cana-691	78	7	step	step	NOUN
cana-691	78	8	increases	increase	VERB
cana-691	78	9	our	our	PRON
cana-691	78	10	classification	classification	NOUN
cana-691	78	11	model	model	NOUN
cana-691	78	12	's	's	PART
cana-691	78	13	efficacy	efficacy	NOUN
cana-691	78	14	.	.	PUNCT
cana-691	79	1	suppose	suppose	VERB
cana-691	79	2	we	we	PRON
cana-691	79	3	train	train	VERB
cana-691	79	4	our	our	PRON
cana-691	79	5	classification	classification	NOUN
cana-691	79	6	model	model	NOUN
cana-691	79	7	on	on	ADP
cana-691	79	8	a	a	DET
cana-691	79	9	single	single	ADJ
cana-691	79	10	sample	sample	NOUN
cana-691	79	11	and	and	CCONJ
cana-691	79	12	validate	validate	VERB
cana-691	79	13	it	it	PRON
cana-691	79	14	on	on	ADP
cana-691	79	15	a	a	DET
cana-691	79	16	second	second	ADJ
cana-691	79	17	sample	sample	NOUN
cana-691	79	18	.	.	PUNCT
cana-691	80	1	consequently	consequently	ADV
cana-691	80	2	,	,	PUNCT
cana-691	80	3	our	our	PRON
cana-691	80	4	model	model	NOUN
cana-691	80	5	will	will	AUX
cana-691	80	6	struggle	struggle	VERB
cana-691	80	7	to	to	PART
cana-691	80	8	comprehend	comprehend	VERB
cana-691	80	9	communications	communication	NOUN
cana-691	80	10	on	on	ADP
cana-691	80	11	applied	apply	VERB
cana-691	80	12	nonlinear	nonlinear	ADJ
cana-691	80	13	analysis	analysis	NOUN
cana-691	80	14	issn	issn	NOUN
cana-691	80	15	:	:	PUNCT
cana-691	80	16	1074	1074	NUM
cana-691	80	17	-	-	PUNCT
cana-691	80	18	133x	133x	NUM
cana-691	80	19	vol	vol	NOUN
cana-691	80	20	31	31	NUM
cana-691	80	21	no	no	NOUN
cana-691	80	22	.	.	PUNCT
cana-691	81	1	2s	2s	NUM
cana-691	81	2	(	(	PUNCT
cana-691	81	3	2024	2024	NUM
cana-691	81	4	)	)	PUNCT
cana-691	81	5	646	646	NUM
cana-691	81	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-691	81	7	how	how	SCONJ
cana-691	81	8	the	the	DET
cana-691	81	9	two	two	NUM
cana-691	81	10	models	model	NOUN
cana-691	81	11	relate	relate	VERB
cana-691	81	12	to	to	ADP
cana-691	81	13	one	one	NUM
cana-691	81	14	another	another	DET
cana-691	81	15	.	.	PUNCT
cana-691	82	1	the	the	DET
cana-691	82	2	model	model	NOUN
cana-691	82	3	's	's	PART
cana-691	82	4	performance	performance	NOUN
cana-691	82	5	will	will	AUX
cana-691	82	6	deteriorate	deteriorate	VERB
cana-691	82	7	if	if	SCONJ
cana-691	82	8	we	we	PRON
cana-691	82	9	give	give	VERB
cana-691	82	10	it	it	PRON
cana-691	82	11	a	a	DET
cana-691	82	12	new	new	ADJ
cana-691	82	13	dataset	dataset	NOUN
cana-691	82	14	after	after	SCONJ
cana-691	82	15	it	it	PRON
cana-691	82	16	has	have	AUX
cana-691	82	17	received	receive	VERB
cana-691	82	18	enough	enough	ADJ
cana-691	82	19	training	training	NOUN
cana-691	82	20	and	and	CCONJ
cana-691	82	21	has	have	VERB
cana-691	82	22	a	a	DET
cana-691	82	23	high	high	ADJ
cana-691	82	24	training	training	NOUN
cana-691	82	25	accuracy	accuracy	NOUN
cana-691	82	26	.	.	PUNCT
cana-691	83	1	a	a	DET
cana-691	83	2	substantial	substantial	ADJ
cana-691	83	3	amount	amount	NOUN
cana-691	83	4	of	of	ADP
cana-691	83	5	effort	effort	NOUN
cana-691	83	6	has	have	AUX
cana-691	83	7	been	be	AUX
cana-691	83	8	devoted	devote	VERB
cana-691	83	9	to	to	ADP
cana-691	83	10	the	the	DET
cana-691	83	11	development	development	NOUN
cana-691	83	12	of	of	ADP
cana-691	83	13	a	a	DET
cana-691	83	14	classification	classification	NOUN
cana-691	83	15	model	model	NOUN
cana-691	83	16	that	that	PRON
cana-691	83	17	exhibits	exhibit	VERB
cana-691	83	18	strong	strong	ADJ
cana-691	83	19	performance	performance	NOUN
cana-691	83	20	on	on	ADP
cana-691	83	21	the	the	DET
cana-691	83	22	test	test	NOUN
cana-691	83	23	&	&	CCONJ
cana-691	83	24	training	training	NOUN
cana-691	83	25	datasets	dataset	NOUN
cana-691	83	26	alike	alike	ADV
cana-691	83	27	.	.	PUNCT
cana-691	84	1	the	the	DET
cana-691	84	2	train	train	NOUN
cana-691	84	3	set	set	NOUN
cana-691	84	4	was	be	AUX
cana-691	84	5	included	include	VERB
cana-691	84	6	in	in	ADP
cana-691	84	7	the	the	DET
cana-691	84	8	sample	sample	NOUN
cana-691	84	9	used	use	VERB
cana-691	84	10	to	to	PART
cana-691	84	11	develop	develop	VERB
cana-691	84	12	the	the	DET
cana-691	84	13	classification	classification	NOUN
cana-691	84	14	model	model	NOUN
cana-691	84	15	,	,	PUNCT
cana-691	84	16	and	and	CCONJ
cana-691	84	17	the	the	DET
cana-691	84	18	result	result	NOUN
cana-691	84	19	is	be	AUX
cana-691	84	20	now	now	ADV
cana-691	84	21	known	know	VERB
cana-691	84	22	for	for	ADP
cana-691	84	23	these	these	DET
cana-691	84	24	samples	sample	NOUN
cana-691	84	25	.	.	PUNCT
cana-691	85	1	the	the	DET
cana-691	85	2	term	term	NOUN
cana-691	85	3	"	"	PUNCT
cana-691	85	4	test	test	NOUN
cana-691	85	5	set	set	NOUN
cana-691	85	6	"	"	PUNCT
cana-691	85	7	refers	refer	VERB
cana-691	85	8	to	to	ADP
cana-691	85	9	a	a	DET
cana-691	85	10	subset	subset	NOUN
cana-691	85	11	of	of	ADP
cana-691	85	12	the	the	DET
cana-691	85	13	sample	sample	NOUN
cana-691	85	14	that	that	PRON
cana-691	85	15	is	be	AUX
cana-691	85	16	used	use	VERB
cana-691	85	17	to	to	PART
cana-691	85	18	forecast	forecast	VERB
cana-691	85	19	output	output	NOUN
cana-691	85	20	when	when	SCONJ
cana-691	85	21	the	the	DET
cana-691	85	22	model	model	NOUN
cana-691	85	23	is	be	AUX
cana-691	85	24	tested	test	VERB
cana-691	85	25	.	.	PUNCT
cana-691	86	1	splitting	split	VERB
cana-691	86	2	dataset	dataset	NOUN
cana-691	86	3	into	into	ADP
cana-691	86	4	training	training	NOUN
cana-691	86	5	and	and	CCONJ
cana-691	86	6	testing	test	VERB
cana-691	86	7	●	●	NUM
cana-691	86	8	randomly	randomly	ADV
cana-691	86	9	splitting	split	VERB
cana-691	86	10	the	the	DET
cana-691	86	11	bin_data	bin_data	NOUN
cana-691	86	12	in	in	ADP
cana-691	86	13	80	80	NUM
cana-691	86	14	%	%	NOUN
cana-691	86	15	for	for	ADP
cana-691	86	16	training	training	NOUN
cana-691	86	17	and	and	CCONJ
cana-691	86	18	20	20	NUM
cana-691	86	19	%	%	NOUN
cana-691	86	20	for	for	ADP
cana-691	86	21	testing	testing	NOUN
cana-691	86	22	.	.	PUNCT
cana-691	87	1	●	●	NOUN
cana-691	87	2	randomly	randomly	ADV
cana-691	87	3	splitting	split	VERB
cana-691	87	4	the	the	DET
cana-691	87	5	multi_data	multi_data	NOUN
cana-691	87	6	in	in	ADP
cana-691	87	7	70	70	NUM
cana-691	87	8	%	%	NOUN
cana-691	87	9	for	for	ADP
cana-691	87	10	training	training	NOUN
cana-691	87	11	and	and	CCONJ
cana-691	87	12	30	30	NUM
cana-691	87	13	%	%	NOUN
cana-691	87	14	for	for	ADP
cana-691	87	15	testing	testing	NOUN
cana-691	87	16	.	.	PUNCT
cana-691	88	1	●	●	PUNCT
cana-691	88	2	target	target	NOUN
cana-691	88	3	feature	feature	NOUN
cana-691	88	4	—	—	PUNCT
cana-691	88	5	label	label	NOUN
cana-691	88	6	communications	communication	NOUN
cana-691	88	7	on	on	ADP
cana-691	88	8	applied	apply	VERB
cana-691	88	9	nonlinear	nonlinear	ADJ
cana-691	88	10	analysis	analysis	NOUN
cana-691	88	11	issn	issn	NOUN
cana-691	88	12	:	:	PUNCT
cana-691	88	13	1074	1074	NUM
cana-691	88	14	-	-	PUNCT
cana-691	88	15	133x	133x	NUM
cana-691	88	16	vol	vol	NOUN
cana-691	88	17	31	31	NUM
cana-691	88	18	no	no	NOUN
cana-691	88	19	.	.	PUNCT
cana-691	89	1	2s	2s	NUM
cana-691	89	2	(	(	PUNCT
cana-691	89	3	2024	2024	NUM
cana-691	89	4	)	)	PUNCT
cana-691	89	5	647	647	NUM
cana-691	89	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-691	89	7	step7	step7	NUM
cana-691	89	8	:	:	PUNCT
cana-691	89	9	comparison	comparison	NOUN
cana-691	89	10	of	of	ADP
cana-691	89	11	linear	linear	PROPN
cana-691	89	12	regression	regression	NOUN
cana-691	89	13	,	,	PUNCT
cana-691	89	14	logistic	logistic	ADJ
cana-691	89	15	regression	regression	NOUN
cana-691	89	16	and	and	CCONJ
cana-691	89	17	rl	rl	PROPN
cana-691	89	18	.	.	PUNCT
cana-691	90	1	linear	linear	PROPN
cana-691	90	2	regression	regression	NOUN
cana-691	90	3	models	model	NOUN
cana-691	90	4	it	it	PRON
cana-691	90	5	is	be	AUX
cana-691	90	6	possible	possible	ADJ
cana-691	90	7	to	to	PART
cana-691	90	8	look	look	VERB
cana-691	90	9	at	at	ADP
cana-691	90	10	the	the	DET
cana-691	90	11	link	link	NOUN
cana-691	90	12	between	between	ADP
cana-691	90	13	one	one	NUM
cana-691	90	14	or	or	CCONJ
cana-691	90	15	more	more	ADV
cana-691	90	16	independent	independent	ADJ
cana-691	90	17	variables	variable	NOUN
cana-691	90	18	and	and	CCONJ
cana-691	90	19	a	a	DET
cana-691	90	20	continuous	continuous	ADJ
cana-691	90	21	dependent	dependent	ADJ
cana-691	90	22	variable	variable	NOUN
cana-691	90	23	.	.	PUNCT
cana-691	91	1	if	if	SCONJ
cana-691	91	2	there	there	PRON
cana-691	91	3	is	be	VERB
cana-691	91	4	only	only	ADV
cana-691	91	5	one	one	NUM
cana-691	91	6	independent	independent	ADJ
cana-691	91	7	variable	variable	NOUN
cana-691	91	8	and	and	CCONJ
cana-691	91	9	one	one	NUM
cana-691	91	10	dependent	dependent	ADJ
cana-691	91	11	variable	variable	NOUN
cana-691	91	12	,	,	PUNCT
cana-691	91	13	then	then	ADV
cana-691	91	14	simple	simple	ADJ
cana-691	91	15	linear	linear	ADJ
cana-691	91	16	regression	regression	NOUN
cana-691	91	17	is	be	AUX
cana-691	91	18	used	use	VERB
cana-691	91	19	.	.	PUNCT
cana-691	92	1	when	when	SCONJ
cana-691	92	2	there	there	PRON
cana-691	92	3	are	be	VERB
cana-691	92	4	more	more	ADJ
cana-691	92	5	than	than	ADP
cana-691	92	6	two	two	NUM
cana-691	92	7	factors	factor	NOUN
cana-691	92	8	,	,	PUNCT
cana-691	92	9	though	though	ADV
cana-691	92	10	,	,	PUNCT
cana-691	92	11	multiple	multiple	ADJ
cana-691	92	12	linear	linear	ADJ
cana-691	92	13	regression	regression	NOUN
cana-691	92	14	is	be	AUX
cana-691	92	15	used	use	VERB
cana-691	92	16	instead	instead	ADV
cana-691	92	17	of	of	ADP
cana-691	92	18	simple	simple	ADJ
cana-691	92	19	linear	linear	ADJ
cana-691	92	20	regression	regression	NOUN
cana-691	92	21	.	.	PUNCT
cana-691	93	1	in	in	ADP
cana-691	93	2	all	all	DET
cana-691	93	3	types	type	NOUN
cana-691	93	4	of	of	ADP
cana-691	93	5	linear	linear	PROPN
cana-691	93	6	regression	regression	NOUN
cana-691	93	7	,	,	PUNCT
cana-691	93	8	the	the	DET
cana-691	93	9	least	least	ADJ
cana-691	93	10	squares	square	NOUN
cana-691	93	11	method	method	NOUN
cana-691	93	12	is	be	AUX
cana-691	93	13	used	use	VERB
cana-691	93	14	to	to	PART
cana-691	93	15	find	find	VERB
cana-691	93	16	the	the	DET
cana-691	93	17	line	line	NOUN
cana-691	93	18	that	that	PRON
cana-691	93	19	fits	fit	VERB
cana-691	93	20	a	a	DET
cana-691	93	21	set	set	NOUN
cana-691	93	22	of	of	ADP
cana-691	93	23	data	datum	NOUN
cana-691	93	24	the	the	DET
cana-691	93	25	best	good	ADJ
cana-691	93	26	.	.	PUNCT
cana-691	94	1	logistic	logistic	ADJ
cana-691	94	2	regression	regression	NOUN
cana-691	94	3	,	,	PUNCT
cana-691	94	4	like	like	ADP
cana-691	94	5	linear	linear	PROPN
cana-691	94	6	regression	regression	NOUN
cana-691	94	7	,	,	PUNCT
cana-691	94	8	can	can	AUX
cana-691	94	9	be	be	AUX
cana-691	94	10	used	use	VERB
cana-691	94	11	to	to	PART
cana-691	94	12	foretell	foretell	VERB
cana-691	94	13	numbers	number	NOUN
cana-691	94	14	for	for	ADP
cana-691	94	15	categorical	categorical	ADJ
cana-691	94	16	variables	variable	NOUN
cana-691	94	17	.	.	PUNCT
cana-691	95	1	this	this	DET
cana-691	95	2	method	method	NOUN
cana-691	95	3	is	be	AUX
cana-691	95	4	used	use	VERB
cana-691	95	5	to	to	PART
cana-691	95	6	evaluate	evaluate	VERB
cana-691	95	7	the	the	DET
cana-691	95	8	correlation	correlation	NOUN
cana-691	95	9	between	between	ADP
cana-691	95	10	several	several	ADJ
cana-691	95	11	predictors	predictor	NOUN
cana-691	95	12	and	and	CCONJ
cana-691	95	13	a	a	DET
cana-691	95	14	single	single	ADJ
cana-691	95	15	outcome	outcome	NOUN
cana-691	95	16	.	.	PUNCT
cana-691	96	1	categorical	categorical	ADJ
cana-691	96	2	variables	variable	NOUN
cana-691	96	3	can	can	AUX
cana-691	96	4	take	take	VERB
cana-691	96	5	on	on	ADP
cana-691	96	6	the	the	DET
cana-691	96	7	values	value	NOUN
cana-691	96	8	true	true	ADJ
cana-691	96	9	,	,	PUNCT
cana-691	96	10	false	false	ADJ
cana-691	96	11	,	,	PUNCT
cana-691	96	12	yes	yes	INTJ
cana-691	96	13	,	,	PUNCT
cana-691	96	14	no	no	INTJ
cana-691	96	15	,	,	PUNCT
cana-691	96	16	1	1	NUM
cana-691	96	17	,	,	PUNCT
cana-691	96	18	0	0	NUM
cana-691	96	19	,	,	PUNCT
cana-691	96	20	and	and	CCONJ
cana-691	96	21	other	other	ADJ
cana-691	96	22	values	value	NOUN
cana-691	96	23	.	.	PUNCT
cana-691	97	1	the	the	DET
cana-691	97	2	s	s	NOUN
cana-691	97	3	-	-	PUNCT
cana-691	97	4	curve	curve	NOUN
cana-691	97	5	is	be	AUX
cana-691	97	6	transformed	transform	VERB
cana-691	97	7	into	into	ADP
cana-691	97	8	a	a	DET
cana-691	97	9	straight	straight	ADJ
cana-691	97	10	line	line	NOUN
cana-691	97	11	by	by	ADP
cana-691	97	12	the	the	DET
cana-691	97	13	logit	logit	PROPN
cana-691	97	14	communications	communication	NOUN
cana-691	97	15	on	on	ADP
cana-691	97	16	applied	apply	VERB
cana-691	97	17	nonlinear	nonlinear	ADJ
cana-691	97	18	analysis	analysis	NOUN
cana-691	97	19	issn	issn	NOUN
cana-691	97	20	:	:	PUNCT
cana-691	97	21	1074	1074	NUM
cana-691	97	22	-	-	PUNCT
cana-691	97	23	133x	133x	NUM
cana-691	97	24	vol	vol	NOUN
cana-691	97	25	31	31	NUM
cana-691	97	26	no	no	NOUN
cana-691	97	27	.	.	PUNCT
cana-691	98	1	2s	2s	NUM
cana-691	98	2	(	(	PUNCT
cana-691	98	3	2024	2024	NUM
cana-691	98	4	)	)	PUNCT
cana-691	98	5	648	648	NUM
cana-691	98	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-691	98	7	function	function	NOUN
cana-691	98	8	,	,	PUNCT
cana-691	98	9	and	and	CCONJ
cana-691	98	10	the	the	DET
cana-691	98	11	unit	unit	NOUN
cana-691	98	12	of	of	ADP
cana-691	98	13	measurement	measurement	NOUN
cana-691	98	14	in	in	ADP
cana-691	98	15	linear	linear	PROPN
cana-691	98	16	regression	regression	NOUN
cana-691	98	17	is	be	AUX
cana-691	98	18	a	a	DET
cana-691	98	19	probability	probability	NOUN
cana-691	98	20	.	.	PUNCT
cana-691	99	1	in	in	ADP
cana-691	99	2	regression	regression	NOUN
cana-691	99	3	analysis	analysis	NOUN
cana-691	99	4	,	,	PUNCT
cana-691	99	5	both	both	DET
cana-691	99	6	models	model	NOUN
cana-691	99	7	are	be	AUX
cana-691	99	8	used	use	VERB
cana-691	99	9	to	to	PART
cana-691	99	10	make	make	VERB
cana-691	99	11	predictions	prediction	NOUN
cana-691	99	12	about	about	ADP
cana-691	99	13	the	the	DET
cana-691	99	14	future	future	NOUN
cana-691	99	15	.	.	PUNCT
cana-691	100	1	however	however	ADV
cana-691	100	2	,	,	PUNCT
cana-691	100	3	linear	linear	ADJ
cana-691	100	4	regression	regression	NOUN
cana-691	100	5	is	be	AUX
cana-691	100	6	often	often	ADV
cana-691	100	7	easier	easy	ADJ
cana-691	100	8	to	to	PART
cana-691	100	9	understand	understand	VERB
cana-691	100	10	.	.	PUNCT
cana-691	101	1	in	in	ADP
cana-691	101	2	addition	addition	NOUN
cana-691	101	3	,	,	PUNCT
cana-691	101	4	whereas	whereas	SCONJ
cana-691	101	5	a	a	DET
cana-691	101	6	smaller	small	ADJ
cana-691	101	7	sample	sample	NOUN
cana-691	101	8	size	size	NOUN
cana-691	101	9	is	be	AUX
cana-691	101	10	sufficient	sufficient	ADJ
cana-691	101	11	for	for	SCONJ
cana-691	101	12	linear	linear	ADJ
cana-691	101	13	regression	regression	NOUN
cana-691	101	14	to	to	PART
cana-691	101	15	accurately	accurately	ADV
cana-691	101	16	represent	represent	VERB
cana-691	101	17	values	value	NOUN
cana-691	101	18	across	across	ADP
cana-691	101	19	all	all	DET
cana-691	101	20	answer	answer	NOUN
cana-691	101	21	categories	category	NOUN
cana-691	101	22	,	,	PUNCT
cana-691	101	23	a	a	DET
cana-691	101	24	larger	large	ADJ
cana-691	101	25	sample	sample	NOUN
cana-691	101	26	size	size	NOUN
cana-691	101	27	is	be	AUX
cana-691	101	28	necessary	necessary	ADJ
cana-691	101	29	for	for	ADP
cana-691	101	30	logistic	logistic	ADJ
cana-691	101	31	regression	regression	NOUN
cana-691	101	32	.	.	PUNCT
cana-691	102	1	should	should	AUX
cana-691	102	2	a	a	DET
cana-691	102	3	more	more	ADV
cana-691	102	4	extensive	extensive	ADJ
cana-691	102	5	,	,	PUNCT
cana-691	102	6	representative	representative	ADJ
cana-691	102	7	sample	sample	NOUN
cana-691	102	8	be	be	AUX
cana-691	102	9	lacking	lack	VERB
cana-691	102	10	,	,	PUNCT
cana-691	102	11	the	the	DET
cana-691	102	12	model	model	NOUN
cana-691	102	13	's	's	PART
cana-691	102	14	statistical	statistical	ADJ
cana-691	102	15	potential	potential	NOUN
cana-691	102	16	to	to	PART
cana-691	102	17	identify	identify	VERB
cana-691	102	18	a	a	DET
cana-691	102	19	noteworthy	noteworthy	ADJ
cana-691	102	20	effect	effect	NOUN
cana-691	102	21	may	may	AUX
cana-691	102	22	be	be	AUX
cana-691	102	23	compromised	compromise	VERB
cana-691	102	24	.	.	PUNCT
cana-691	103	1	linear	linear	ADJ
cana-691	103	2	regression	regression	NOUN
cana-691	103	3	model	model	NOUN
cana-691	103	4	binary	binary	ADJ
cana-691	103	5	classification	classification	NOUN
cana-691	103	6	●	●	PUNCT
cana-691	103	7	accuracy	accuracy	NOUN
cana-691	103	8	—	—	PUNCT
cana-691	103	9	97.80720665229443	97.80720665229443	NUM
cana-691	103	10	●	●	NUM
cana-691	103	11	mean	mean	NOUN
cana-691	103	12	absolute	absolute	ADJ
cana-691	103	13	error	error	NOUN
cana-691	103	14	—	—	PUNCT
cana-691	103	15	0.021927933477055742	0.021927933477055742	NUM
cana-691	103	16	●	●	NUM
cana-691	103	17	mean	mean	NOUN
cana-691	103	18	squared	square	VERB
cana-691	103	19	error	error	NOUN
cana-691	103	20	—	—	PUNCT
cana-691	103	21	0.021927933477055742	0.021927933477055742	NUM
cana-691	103	22	●	●	NUM
cana-691	103	23	root	root	NOUN
cana-691	103	24	mean	mean	VERB
cana-691	103	25	squared	square	VERB
cana-691	103	26	error	error	NOUN
cana-691	103	27	—	—	PUNCT
cana-691	103	28	0.1480808342664767	0.1480808342664767	NUM
cana-691	103	29	●	●	NUM
cana-691	103	30	r2	r2	NOUN
cana-691	103	31	score	score	NOUN
cana-691	103	32	—	—	PUNCT
cana-691	103	33	88.20923868071647	88.20923868071647	NUM
cana-691	103	34	multi	multi	ADJ
cana-691	103	35	-	-	ADJ
cana-691	103	36	class	class	ADJ
cana-691	103	37	classification	classification	NOUN
cana-691	103	38	●	●	NOUN
cana-691	103	39	accuracy	accuracy	NOUN
cana-691	103	40	—	—	PUNCT
cana-691	103	41	95.12976346911958	95.12976346911958	NUM
cana-691	103	42	●	●	NUM
cana-691	103	43	mean	mean	NOUN
cana-691	103	44	absolute	absolute	ADJ
cana-691	103	45	error	error	NOUN
cana-691	103	46	—	—	PUNCT
cana-691	103	47	0.06824901445466491	0.06824901445466491	NUM
cana-691	103	48	●	●	NUM
cana-691	103	49	mean	mean	NOUN
cana-691	103	50	squared	square	VERB
cana-691	103	51	error	error	NOUN
cana-691	103	52	—	—	PUNCT
cana-691	103	53	0.12146846254927726	0.12146846254927726	NUM
cana-691	103	54	●	●	NUM
cana-691	103	55	root	root	NOUN
cana-691	103	56	mean	mean	VERB
cana-691	103	57	squared	square	VERB
cana-691	103	58	error	error	NOUN
cana-691	103	59	—	—	PUNCT
cana-691	103	60	0.3485232596962178	0.3485232596962178	NUM
cana-691	103	61	●	●	NUM
cana-691	103	62	r2	r2	NOUN
cana-691	103	63	score	score	NOUN
cana-691	103	64	—	—	PUNCT
cana-691	103	65	91.82055676180129	91.82055676180129	NUM
cana-691	103	66	communications	communication	NOUN
cana-691	103	67	on	on	ADP
cana-691	103	68	applied	apply	VERB
cana-691	103	69	nonlinear	nonlinear	ADJ
cana-691	103	70	analysis	analysis	NOUN
cana-691	103	71	issn	issn	NOUN
cana-691	103	72	:	:	PUNCT
cana-691	103	73	1074	1074	NUM
cana-691	103	74	-	-	PUNCT
cana-691	103	75	133x	133x	NUM
cana-691	103	76	vol	vol	NOUN
cana-691	103	77	31	31	NUM
cana-691	103	78	no	no	NOUN
cana-691	103	79	.	.	PUNCT
cana-691	104	1	2s	2s	NUM
cana-691	104	2	(	(	PUNCT
cana-691	104	3	2024	2024	NUM
cana-691	104	4	)	)	PUNCT
cana-691	104	5	649	649	NUM
cana-691	104	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-691	104	7	communications	communication	NOUN
cana-691	104	8	on	on	ADP
cana-691	104	9	applied	apply	VERB
cana-691	104	10	nonlinear	nonlinear	ADJ
cana-691	104	11	analysis	analysis	NOUN
cana-691	104	12	issn	issn	NOUN
cana-691	104	13	:	:	PUNCT
cana-691	104	14	1074	1074	NUM
cana-691	104	15	-	-	PUNCT
cana-691	104	16	133x	133x	NUM
cana-691	104	17	vol	vol	NOUN
cana-691	104	18	31	31	NUM
cana-691	104	19	no	no	NOUN
cana-691	104	20	.	.	PUNCT
cana-691	105	1	2s	2s	NUM
cana-691	105	2	(	(	PUNCT
cana-691	105	3	2024	2024	NUM
cana-691	105	4	)	)	PUNCT
cana-691	105	5	650	650	NUM
cana-691	105	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-691	105	7	logistic	logistic	ADJ
cana-691	105	8	regression	regression	NOUN
cana-691	105	9	among	among	ADP
cana-691	105	10	the	the	DET
cana-691	105	11	family	family	NOUN
cana-691	105	12	of	of	ADP
cana-691	105	13	supervised	supervised	ADJ
cana-691	105	14	machine	machine	NOUN
cana-691	105	15	learning	learning	NOUN
cana-691	105	16	models	model	NOUN
cana-691	105	17	is	be	AUX
cana-691	105	18	logistic	logistic	ADJ
cana-691	105	19	regression	regression	NOUN
cana-691	105	20	.	.	PUNCT
cana-691	106	1	it	it	PRON
cana-691	106	2	is	be	AUX
cana-691	106	3	also	also	ADV
cana-691	106	4	considered	consider	VERB
cana-691	106	5	a	a	DET
cana-691	106	6	discriminative	discriminative	NOUN
cana-691	106	7	model	model	NOUN
cana-691	106	8	,	,	PUNCT
cana-691	106	9	meaning	mean	VERB
cana-691	106	10	that	that	SCONJ
cana-691	106	11	it	it	PRON
cana-691	106	12	aims	aim	VERB
cana-691	106	13	to	to	PART
cana-691	106	14	differentiate	differentiate	VERB
cana-691	106	15	between	between	ADP
cana-691	106	16	multiple	multiple	ADJ
cana-691	106	17	classes	class	NOUN
cana-691	106	18	.	.	PUNCT
cana-691	107	1	naive	naive	ADJ
cana-691	107	2	bayes	baye	NOUN
cana-691	107	3	and	and	CCONJ
cana-691	107	4	other	other	ADJ
cana-691	107	5	generative	generative	ADJ
cana-691	107	6	algorithms	algorithm	NOUN
cana-691	107	7	can	can	AUX
cana-691	107	8	make	make	VERB
cana-691	107	9	examples	example	NOUN
cana-691	107	10	of	of	ADP
cana-691	107	11	the	the	DET
cana-691	107	12	class	class	NOUN
cana-691	107	13	they	they	PRON
cana-691	107	14	are	be	AUX
cana-691	107	15	trying	try	VERB
cana-691	107	16	to	to	PART
cana-691	107	17	predict	predict	VERB
cana-691	107	18	,	,	PUNCT
cana-691	107	19	but	but	CCONJ
cana-691	107	20	this	this	DET
cana-691	107	21	one	one	NOUN
cana-691	107	22	ca	can	AUX
cana-691	107	23	n't	not	PART
cana-691	107	24	(	(	PUNCT
cana-691	107	25	for	for	ADP
cana-691	107	26	example	example	NOUN
cana-691	107	27	,	,	PUNCT
cana-691	107	28	a	a	DET
cana-691	107	29	cat	cat	NOUN
cana-691	107	30	picture	picture	NOUN
cana-691	107	31	)	)	PUNCT
cana-691	107	32	.	.	PUNCT
cana-691	108	1	we	we	PRON
cana-691	108	2	already	already	ADV
cana-691	108	3	talked	talk	VERB
cana-691	108	4	about	about	ADP
cana-691	108	5	how	how	SCONJ
cana-691	108	6	the	the	DET
cana-691	108	7	model	model	NOUN
cana-691	108	8	's	's	PART
cana-691	108	9	beta	beta	ADJ
cana-691	108	10	values	value	NOUN
cana-691	108	11	are	be	AUX
cana-691	108	12	made	make	VERB
cana-691	108	13	by	by	ADP
cana-691	108	14	logistic	logistic	ADJ
cana-691	108	15	regression	regression	NOUN
cana-691	108	16	,	,	PUNCT
cana-691	108	17	which	which	PRON
cana-691	108	18	maximises	maximise	VERB
cana-691	108	19	the	the	DET
cana-691	108	20	log	log	NOUN
cana-691	108	21	likelihood	likelihood	NOUN
cana-691	108	22	function	function	NOUN
cana-691	108	23	.	.	PUNCT
cana-691	109	1	this	this	PRON
cana-691	109	2	slightly	slightly	ADV
cana-691	109	3	alters	alter	VERB
cana-691	109	4	when	when	SCONJ
cana-691	109	5	looking	look	VERB
cana-691	109	6	at	at	ADP
cana-691	109	7	it	it	PRON
cana-691	109	8	from	from	ADP
cana-691	109	9	a	a	DET
cana-691	109	10	machine	machine	NOUN
cana-691	109	11	learning	learn	VERB
cana-691	109	12	standpoint	standpoint	NOUN
cana-691	109	13	.	.	PUNCT
cana-691	110	1	in	in	ADP
cana-691	110	2	machine	machine	NOUN
cana-691	110	3	learning	learning	NOUN
cana-691	110	4	,	,	PUNCT
cana-691	110	5	the	the	DET
cana-691	110	6	global	global	ADJ
cana-691	110	7	maximum	maximum	NOUN
cana-691	110	8	is	be	AUX
cana-691	110	9	found	find	VERB
cana-691	110	10	using	use	VERB
cana-691	110	11	gradient	gradient	ADJ
cana-691	110	12	descent	descent	NOUN
cana-691	110	13	,	,	PUNCT
cana-691	110	14	with	with	ADP
cana-691	110	15	the	the	DET
cana-691	110	16	loss	loss	NOUN
cana-691	110	17	function	function	NOUN
cana-691	110	18	being	be	AUX
cana-691	110	19	the	the	DET
cana-691	110	20	negative	negative	ADJ
cana-691	110	21	log	log	NOUN
cana-691	110	22	likelihood	likelihood	NOUN
cana-691	110	23	.	.	PUNCT
cana-691	111	1	this	this	PRON
cana-691	111	2	is	be	AUX
cana-691	111	3	merely	merely	ADV
cana-691	111	4	a	a	DET
cana-691	111	5	different	different	ADJ
cana-691	111	6	method	method	NOUN
cana-691	111	7	to	to	PART
cana-691	111	8	get	get	VERB
cana-691	111	9	the	the	DET
cana-691	111	10	same	same	ADJ
cana-691	111	11	approximations	approximation	NOUN
cana-691	111	12	as	as	ADP
cana-691	111	13	before	before	ADV
cana-691	111	14	.	.	PUNCT
cana-691	112	1	moreover	moreover	ADV
cana-691	112	2	,	,	PUNCT
cana-691	112	3	logistic	logistic	ADJ
cana-691	112	4	regression	regression	NOUN
cana-691	112	5	may	may	AUX
cana-691	112	6	lead	lead	VERB
cana-691	112	7	to	to	ADP
cana-691	112	8	overfitting	overfitte	VERB
cana-691	112	9	,	,	PUNCT
cana-691	112	10	especially	especially	ADV
cana-691	112	11	if	if	SCONJ
cana-691	112	12	the	the	DET
cana-691	112	13	model	model	NOUN
cana-691	112	14	has	have	VERB
cana-691	112	15	a	a	DET
cana-691	112	16	large	large	ADJ
cana-691	112	17	number	number	NOUN
cana-691	112	18	of	of	ADP
cana-691	112	19	predictor	predictor	NOUN
cana-691	112	20	variables	variable	NOUN
cana-691	112	21	.	.	PUNCT
cana-691	113	1	in	in	ADP
cana-691	113	2	high	high	ADJ
cana-691	113	3	dimensionality	dimensionality	NOUN
cana-691	113	4	models	model	NOUN
cana-691	113	5	,	,	PUNCT
cana-691	113	6	regularisation	regularisation	NOUN
cana-691	113	7	is	be	AUX
cana-691	113	8	usually	usually	ADV
cana-691	113	9	employed	employ	VERB
cana-691	113	10	to	to	PART
cana-691	113	11	penalise	penalise	VERB
cana-691	113	12	parameters	parameter	NOUN
cana-691	113	13	with	with	ADP
cana-691	113	14	large	large	ADJ
cana-691	113	15	coefficients	coefficient	NOUN
cana-691	113	16	.	.	PUNCT
cana-691	114	1	for	for	ADP
cana-691	114	2	additional	additional	ADJ
cana-691	114	3	information	information	NOUN
cana-691	114	4	on	on	ADP
cana-691	114	5	the	the	DET
cana-691	114	6	logistic	logistic	ADJ
cana-691	114	7	regression	regression	NOUN
cana-691	114	8	machine	machine	NOUN
cana-691	114	9	learning	learning	NOUN
cana-691	114	10	model	model	NOUN
cana-691	114	11	,	,	PUNCT
cana-691	114	12	go	go	VERB
cana-691	114	13	visit	visit	VERB
cana-691	114	14	scikit	scikit	NOUN
cana-691	114	15	-	-	PUNCT
cana-691	114	16	learn	learn	NOUN
cana-691	114	17	(	(	PUNCT
cana-691	114	18	link	link	NOUN
cana-691	114	19	is	be	AUX
cana-691	114	20	external	external	ADJ
cana-691	114	21	to	to	ADP
cana-691	114	22	ibm	ibm	PROPN
cana-691	114	23	)	)	PUNCT
cana-691	114	24	.	.	PUNCT
cana-691	115	1	logistic	logistic	ADJ
cana-691	115	2	regression	regression	NOUN
cana-691	115	3	model	model	NOUN
cana-691	115	4	binary	binary	ADJ
cana-691	115	5	classification	classification	NOUN
cana-691	115	6	●	●	PUNCT
cana-691	115	7	accuracy	accuracy	NOUN
cana-691	115	8	—	—	PUNCT
cana-691	115	9	97.80104712041884	97.80104712041884	NUM
cana-691	115	10	●	●	NUM
cana-691	115	11	mean	mean	NOUN
cana-691	115	12	absolute	absolute	ADJ
cana-691	115	13	error	error	NOUN
cana-691	115	14	—	—	PUNCT
cana-691	115	15	0.02198952879581152	0.02198952879581152	NUM
cana-691	115	16	●	●	NUM
cana-691	115	17	mean	mean	NOUN
cana-691	115	18	squared	square	VERB
cana-691	115	19	error	error	NOUN
cana-691	115	20	—	—	PUNCT
cana-691	115	21	0.02198952879581152	0.02198952879581152	NUM
cana-691	115	22	●	●	NUM
cana-691	115	23	root	root	NOUN
cana-691	115	24	mean	mean	VERB
cana-691	115	25	squared	square	VERB
cana-691	115	26	error	error	NOUN
cana-691	115	27	—	—	PUNCT
cana-691	115	28	0.1482886671186019	0.1482886671186019	NUM
cana-691	115	29	●	●	NUM
cana-691	115	30	r2	r2	NOUN
cana-691	115	31	score	score	NOUN
cana-691	115	32	—	—	PUNCT
cana-691	115	33	88.17947258428785	88.17947258428785	NUM
cana-691	115	34	multi	multi	ADJ
cana-691	115	35	-	-	ADJ
cana-691	115	36	class	class	ADJ
cana-691	115	37	classification	classification	NOUN
cana-691	115	38	●	●	NOUN
cana-691	115	39	accuracy	accuracy	NOUN
cana-691	115	40	—	—	PUNCT
cana-691	115	41	97.58952036793693	97.58952036793693	NUM
cana-691	115	42	●	●	NUM
cana-691	115	43	mean	mean	NOUN
cana-691	115	44	absolute	absolute	ADJ
cana-691	115	45	error	error	NOUN
cana-691	115	46	—	—	PUNCT
cana-691	116	1	0.060077201051248356	0.060077201051248356	NUM
cana-691	116	2	●	●	NUM
cana-691	116	3	mean	mean	NOUN
cana-691	116	4	squared	square	VERB
cana-691	116	5	error	error	NOUN
cana-691	116	6	—	—	PUNCT
cana-691	116	7	0.18056011826544022	0.18056011826544022	NUM
cana-691	116	8	●	●	NUM
cana-691	116	9	root	root	NOUN
cana-691	116	10	mean	mean	NOUN
cana-691	116	11	squared	square	VERB
cana-691	116	12	error	error	NOUN
cana-691	116	13	—	—	PUNCT
cana-691	116	14	0.42492366169165047	0.42492366169165047	NUM
cana-691	116	15	●	●	NUM
cana-691	116	16	r2	r2	NOUN
cana-691	116	17	score	score	NOUN
cana-691	116	18	—	—	PUNCT
cana-691	116	19	87.87674567880146	87.87674567880146	NUM
cana-691	116	20	communications	communication	NOUN
cana-691	116	21	on	on	ADP
cana-691	116	22	applied	apply	VERB
cana-691	116	23	nonlinear	nonlinear	ADJ
cana-691	116	24	analysis	analysis	NOUN
cana-691	116	25	issn	issn	NOUN
cana-691	116	26	:	:	PUNCT
cana-691	116	27	1074	1074	NUM
cana-691	116	28	-	-	PUNCT
cana-691	116	29	133x	133x	NUM
cana-691	116	30	vol	vol	NOUN
cana-691	116	31	31	31	NUM
cana-691	116	32	no	no	NOUN
cana-691	116	33	.	.	PUNCT
cana-691	117	1	2s	2s	NUM
cana-691	117	2	(	(	PUNCT
cana-691	117	3	2024	2024	NUM
cana-691	117	4	)	)	PUNCT
cana-691	117	5	651	651	NUM
cana-691	117	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-691	117	7	logistic	logistic	ADJ
cana-691	117	8	regression	regression	NOUN
cana-691	117	9	is	be	AUX
cana-691	117	10	commonly	commonly	ADV
cana-691	117	11	applied	apply	VERB
cana-691	117	12	to	to	ADP
cana-691	117	13	problems	problem	NOUN
cana-691	117	14	involving	involve	VERB
cana-691	117	15	classification	classification	NOUN
cana-691	117	16	and	and	CCONJ
cana-691	117	17	forecasting	forecasting	NOUN
cana-691	117	18	through	through	ADP
cana-691	117	19	the	the	DET
cana-691	117	20	use	use	NOUN
cana-691	117	21	of	of	ADP
cana-691	117	22	cases	case	NOUN
cana-691	117	23	.	.	PUNCT
cana-691	118	1	these	these	DET
cana-691	118	2	use	use	NOUN
cana-691	118	3	cases	case	NOUN
cana-691	118	4	consist	consist	VERB
cana-691	118	5	of	of	ADP
cana-691	118	6	:	:	PUNCT
cana-691	118	7	•fraud	•fraud	PROPN
cana-691	118	8	detection	detection	NOUN
cana-691	118	9	:	:	PUNCT
cana-691	118	10	teams	team	NOUN
cana-691	118	11	can	can	AUX
cana-691	118	12	use	use	VERB
cana-691	118	13	logistic	logistic	ADJ
cana-691	118	14	regression	regression	NOUN
cana-691	118	15	models	model	NOUN
cana-691	118	16	to	to	PART
cana-691	118	17	find	find	VERB
cana-691	118	18	data	datum	NOUN
cana-691	118	19	abnormalities	abnormality	NOUN
cana-691	118	20	that	that	PRON
cana-691	118	21	point	point	VERB
cana-691	118	22	to	to	ADP
cana-691	118	23	fraudulent	fraudulent	ADJ
cana-691	118	24	activity	activity	NOUN
cana-691	118	25	.	.	PUNCT
cana-691	119	1	banking	banking	NOUN
cana-691	119	2	and	and	CCONJ
cana-691	119	3	other	other	ADJ
cana-691	119	4	financial	financial	ADJ
cana-691	119	5	organisations	organisation	NOUN
cana-691	119	6	may	may	AUX
cana-691	119	7	discover	discover	VERB
cana-691	119	8	that	that	DET
cana-691	119	9	specific	specific	ADJ
cana-691	119	10	behaviours	behaviour	NOUN
cana-691	119	11	or	or	CCONJ
cana-691	119	12	qualities	quality	NOUN
cana-691	119	13	are	be	AUX
cana-691	119	14	more	more	ADV
cana-691	119	15	often	often	ADV
cana-691	119	16	linked	link	VERB
cana-691	119	17	to	to	ADP
cana-691	119	18	fraudulent	fraudulent	ADJ
cana-691	119	19	operations	operation	NOUN
cana-691	119	20	in	in	ADP
cana-691	119	21	an	an	DET
cana-691	119	22	effort	effort	NOUN
cana-691	119	23	to	to	PART
cana-691	119	24	better	well	ADV
cana-691	119	25	protect	protect	VERB
cana-691	119	26	their	their	PRON
cana-691	119	27	consumers	consumer	NOUN
cana-691	119	28	.	.	PUNCT
cana-691	120	1	saas	saas	NOUN
cana-691	120	2	-	-	PUNCT
cana-691	120	3	based	base	VERB
cana-691	120	4	organisations	organisation	NOUN
cana-691	120	5	also	also	ADV
cana-691	120	6	employ	employ	VERB
cana-691	120	7	these	these	DET
cana-691	120	8	techniques	technique	NOUN
cana-691	120	9	to	to	PART
cana-691	120	10	eliminate	eliminate	VERB
cana-691	120	11	fictitious	fictitious	ADJ
cana-691	120	12	user	user	NOUN
cana-691	120	13	accounts	account	NOUN
cana-691	120	14	from	from	ADP
cana-691	120	15	datasets	dataset	NOUN
cana-691	120	16	during	during	ADP
cana-691	120	17	business	business	NOUN
cana-691	120	18	performance	performance	NOUN
cana-691	120	19	data	datum	NOUN
cana-691	120	20	analysis	analysis	NOUN
cana-691	120	21	.	.	PUNCT
cana-691	121	1	communications	communication	NOUN
cana-691	121	2	on	on	ADP
cana-691	121	3	applied	apply	VERB
cana-691	121	4	nonlinear	nonlinear	ADJ
cana-691	121	5	analysis	analysis	NOUN
cana-691	121	6	issn	issn	NOUN
cana-691	121	7	:	:	PUNCT
cana-691	121	8	1074	1074	NUM
cana-691	121	9	-	-	PUNCT
cana-691	121	10	133x	133x	NUM
cana-691	121	11	vol	vol	NOUN
cana-691	121	12	31	31	NUM
cana-691	121	13	no	no	NOUN
cana-691	121	14	.	.	PUNCT
cana-691	122	1	2s	2s	NUM
cana-691	122	2	(	(	PUNCT
cana-691	122	3	2024	2024	NUM
cana-691	122	4	)	)	PUNCT
cana-691	122	5	652	652	NUM
cana-691	122	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-691	122	7	•disease	•disease	PROPN
cana-691	122	8	prediction	prediction	NOUN
cana-691	122	9	:	:	PUNCT
cana-691	122	10	this	this	DET
cana-691	122	11	analytics	analytic	NOUN
cana-691	122	12	technique	technique	NOUN
cana-691	122	13	can	can	AUX
cana-691	122	14	be	be	AUX
cana-691	122	15	implemented	implement	VERB
cana-691	122	16	in	in	ADP
cana-691	122	17	medicine	medicine	NOUN
cana-691	122	18	to	to	PART
cana-691	122	19	predict	predict	VERB
cana-691	122	20	the	the	DET
cana-691	122	21	likelihood	likelihood	NOUN
cana-691	122	22	that	that	SCONJ
cana-691	122	23	a	a	DET
cana-691	122	24	given	give	VERB
cana-691	122	25	population	population	NOUN
cana-691	122	26	will	will	AUX
cana-691	122	27	become	become	VERB
cana-691	122	28	unwell	unwell	ADJ
cana-691	122	29	or	or	CCONJ
cana-691	122	30	sick	sick	ADJ
cana-691	122	31	.	.	PUNCT
cana-691	123	1	health	health	NOUN
cana-691	123	2	care	care	NOUN
cana-691	123	3	facilities	facility	NOUN
cana-691	123	4	can	can	AUX
cana-691	123	5	arrange	arrange	VERB
cana-691	123	6	for	for	ADP
cana-691	123	7	prophylactic	prophylactic	ADJ
cana-691	123	8	care	care	NOUN
cana-691	123	9	for	for	ADP
cana-691	123	10	individuals	individual	NOUN
cana-691	123	11	who	who	PRON
cana-691	123	12	are	be	AUX
cana-691	123	13	more	more	ADV
cana-691	123	14	susceptible	susceptible	ADJ
cana-691	123	15	to	to	ADP
cana-691	123	16	a	a	DET
cana-691	123	17	specific	specific	ADJ
cana-691	123	18	disease	disease	NOUN
cana-691	123	19	.	.	PUNCT
cana-691	124	1	•churn	•churn	PROPN
cana-691	124	2	prediction	prediction	NOUN
cana-691	124	3	:	:	PUNCT
cana-691	124	4	certain	certain	ADJ
cana-691	124	5	behaviours	behaviour	NOUN
cana-691	124	6	may	may	AUX
cana-691	124	7	signal	signal	VERB
cana-691	124	8	churn	churn	NOUN
cana-691	124	9	in	in	ADP
cana-691	124	10	different	different	ADJ
cana-691	124	11	organisational	organisational	ADJ
cana-691	124	12	activities	activity	NOUN
cana-691	124	13	.	.	PUNCT
cana-691	125	1	if	if	SCONJ
cana-691	125	2	high	high	ADJ
cana-691	125	3	achievers	achiever	NOUN
cana-691	125	4	are	be	AUX
cana-691	125	5	in	in	ADP
cana-691	125	6	danger	danger	NOUN
cana-691	125	7	of	of	ADP
cana-691	125	8	leaving	leave	VERB
cana-691	125	9	the	the	DET
cana-691	125	10	organisation	organisation	NOUN
cana-691	125	11	,	,	PUNCT
cana-691	125	12	human	human	ADJ
cana-691	125	13	resources	resource	NOUN
cana-691	125	14	and	and	CCONJ
cana-691	125	15	management	management	NOUN
cana-691	125	16	teams	team	NOUN
cana-691	125	17	may	may	AUX
cana-691	125	18	be	be	AUX
cana-691	125	19	interested	interested	ADJ
cana-691	125	20	in	in	ADP
cana-691	125	21	learning	learn	VERB
cana-691	125	22	about	about	ADP
cana-691	125	23	it	it	PRON
cana-691	125	24	.	.	PUNCT
cana-691	126	1	information	information	NOUN
cana-691	126	2	of	of	ADP
cana-691	126	3	this	this	DET
cana-691	126	4	kind	kind	NOUN
cana-691	126	5	could	could	AUX
cana-691	126	6	start	start	VERB
cana-691	126	7	conversations	conversation	NOUN
cana-691	126	8	regarding	regard	VERB
cana-691	126	9	the	the	DET
cana-691	126	10	company	company	NOUN
cana-691	126	11	's	's	PART
cana-691	126	12	compensation	compensation	NOUN
cana-691	126	13	policies	policy	NOUN
cana-691	126	14	or	or	CCONJ
cana-691	126	15	culture	culture	NOUN
cana-691	126	16	.	.	PUNCT
cana-691	127	1	alternatively	alternatively	ADV
cana-691	127	2	,	,	PUNCT
cana-691	127	3	the	the	DET
cana-691	127	4	sales	sale	NOUN
cana-691	127	5	staff	staff	NOUN
cana-691	127	6	would	would	AUX
cana-691	127	7	like	like	VERB
cana-691	127	8	to	to	PART
cana-691	127	9	know	know	VERB
cana-691	127	10	which	which	PRON
cana-691	127	11	of	of	ADP
cana-691	127	12	its	its	PRON
cana-691	127	13	clients	client	NOUN
cana-691	127	14	might	might	AUX
cana-691	127	15	choose	choose	VERB
cana-691	127	16	to	to	PART
cana-691	127	17	work	work	VERB
cana-691	127	18	with	with	ADP
cana-691	127	19	another	another	DET
cana-691	127	20	company	company	NOUN
cana-691	127	21	.	.	PUNCT
cana-691	128	1	teams	team	NOUN
cana-691	128	2	might	might	AUX
cana-691	128	3	be	be	AUX
cana-691	128	4	inspired	inspire	VERB
cana-691	128	5	by	by	ADP
cana-691	128	6	this	this	PRON
cana-691	128	7	to	to	PART
cana-691	128	8	develop	develop	VERB
cana-691	128	9	a	a	DET
cana-691	128	10	retention	retention	NOUN
cana-691	128	11	plan	plan	NOUN
cana-691	128	12	in	in	ADP
cana-691	128	13	order	order	NOUN
cana-691	128	14	to	to	PART
cana-691	128	15	prevent	prevent	VERB
cana-691	128	16	revenue	revenue	NOUN
cana-691	128	17	loss	loss	NOUN
cana-691	128	18	.	.	PUNCT
cana-691	129	1	types	type	NOUN
cana-691	129	2	of	of	ADP
cana-691	129	3	logistic	logistic	ADJ
cana-691	129	4	regression	regression	NOUN
cana-691	129	5	logistic	logistic	ADJ
cana-691	129	6	regression	regression	NOUN
cana-691	129	7	models	model	NOUN
cana-691	129	8	based	base	VERB
cana-691	129	9	on	on	ADP
cana-691	129	10	categorical	categorical	ADJ
cana-691	129	11	responses	response	NOUN
cana-691	129	12	come	come	VERB
cana-691	129	13	in	in	ADP
cana-691	129	14	three	three	NUM
cana-691	129	15	varieties	variety	NOUN
cana-691	129	16	.	.	PUNCT
cana-691	130	1	•binary	•binary	PROPN
cana-691	130	2	logistic	logistic	ADJ
cana-691	130	3	regression	regression	NOUN
cana-691	130	4	:	:	PUNCT
cana-691	130	5	this	this	DET
cana-691	130	6	method	method	NOUN
cana-691	130	7	's	's	PART
cana-691	130	8	dependent	dependent	ADJ
cana-691	130	9	variable	variable	NOUN
cana-691	130	10	,	,	PUNCT
cana-691	130	11	or	or	CCONJ
cana-691	130	12	answer	answer	NOUN
cana-691	130	13	,	,	PUNCT
cana-691	130	14	is	be	AUX
cana-691	130	15	dichotomous	dichotomous	ADJ
cana-691	130	16	,	,	PUNCT
cana-691	130	17	meaning	mean	VERB
cana-691	130	18	that	that	SCONJ
cana-691	130	19	there	there	PRON
cana-691	130	20	are	be	VERB
cana-691	130	21	only	only	ADV
cana-691	130	22	two	two	NUM
cana-691	130	23	possible	possible	ADJ
cana-691	130	24	outcomes	outcome	NOUN
cana-691	130	25	(	(	PUNCT
cana-691	130	26	e.g.	e.g.	ADV
cana-691	130	27	,	,	PUNCT
cana-691	130	28	0	0	NUM
cana-691	130	29	or	or	CCONJ
cana-691	130	30	1	1	NUM
cana-691	130	31	)	)	PUNCT
cana-691	130	32	.	.	PUNCT
cana-691	131	1	it	it	PRON
cana-691	131	2	can	can	AUX
cana-691	131	3	determine	determine	VERB
cana-691	131	4	the	the	DET
cana-691	131	5	malignancy	malignancy	NOUN
cana-691	131	6	of	of	ADP
cana-691	131	7	a	a	DET
cana-691	131	8	tumour	tumour	NOUN
cana-691	131	9	or	or	CCONJ
cana-691	131	10	whether	whether	SCONJ
cana-691	131	11	an	an	DET
cana-691	131	12	email	email	NOUN
cana-691	131	13	is	be	AUX
cana-691	131	14	spam	spam	NOUN
cana-691	131	15	,	,	PUNCT
cana-691	131	16	among	among	ADP
cana-691	131	17	other	other	ADJ
cana-691	131	18	applications	application	NOUN
cana-691	131	19	.	.	PUNCT
cana-691	132	1	this	this	DET
cana-691	132	2	technique	technique	NOUN
cana-691	132	3	is	be	AUX
cana-691	132	4	widely	widely	ADV
cana-691	132	5	used	use	VERB
cana-691	132	6	in	in	ADP
cana-691	132	7	the	the	DET
cana-691	132	8	field	field	NOUN
cana-691	132	9	of	of	ADP
cana-691	132	10	logistic	logistic	ADJ
cana-691	132	11	regression	regression	NOUN
cana-691	132	12	and	and	CCONJ
cana-691	132	13	is	be	AUX
cana-691	132	14	widely	widely	ADV
cana-691	132	15	recognised	recognise	VERB
cana-691	132	16	as	as	ADP
cana-691	132	17	a	a	DET
cana-691	132	18	top	top	ADJ
cana-691	132	19	-	-	PUNCT
cana-691	132	20	tier	tier	NOUN
cana-691	132	21	classifier	classifier	NOUN
cana-691	132	22	for	for	ADP
cana-691	132	23	binary	binary	ADJ
cana-691	132	24	data	datum	NOUN
cana-691	132	25	.	.	PUNCT
cana-691	133	1	•multinomial	•multinomial	ADJ
cana-691	133	2	logistic	logistic	ADJ
cana-691	133	3	regression	regression	NOUN
cana-691	133	4	:	:	PUNCT
cana-691	133	5	within	within	ADP
cana-691	133	6	this	this	DET
cana-691	133	7	particular	particular	ADJ
cana-691	133	8	variant	variant	NOUN
cana-691	133	9	of	of	ADP
cana-691	133	10	logistic	logistic	ADJ
cana-691	133	11	regression	regression	NOUN
cana-691	133	12	,	,	PUNCT
cana-691	133	13	the	the	DET
cana-691	133	14	dependent	dependent	ADJ
cana-691	133	15	variable	variable	NOUN
cana-691	133	16	is	be	AUX
cana-691	133	17	open	open	ADJ
cana-691	133	18	to	to	ADP
cana-691	133	19	a	a	DET
cana-691	133	20	maximum	maximum	NOUN
cana-691	133	21	of	of	ADP
cana-691	133	22	three	three	NUM
cana-691	133	23	values	value	NOUN
cana-691	133	24	,	,	PUNCT
cana-691	133	25	none	none	NOUN
cana-691	133	26	of	of	ADP
cana-691	133	27	which	which	PRON
cana-691	133	28	are	be	AUX
cana-691	133	29	sequentially	sequentially	ADV
cana-691	133	30	arranged	arrange	VERB
cana-691	133	31	.	.	PUNCT
cana-691	134	1	to	to	PART
cana-691	134	2	improve	improve	VERB
cana-691	134	3	their	their	PRON
cana-691	134	4	ability	ability	NOUN
cana-691	134	5	to	to	PART
cana-691	134	6	sell	sell	VERB
cana-691	134	7	their	their	PRON
cana-691	134	8	films	film	NOUN
cana-691	134	9	,	,	PUNCT
cana-691	134	10	for	for	ADP
cana-691	134	11	instance	instance	NOUN
cana-691	134	12	,	,	PUNCT
cana-691	134	13	film	film	NOUN
cana-691	134	14	studios	studio	NOUN
cana-691	134	15	endeavour	endeavour	VERB
cana-691	134	16	to	to	PART
cana-691	134	17	predict	predict	VERB
cana-691	134	18	the	the	DET
cana-691	134	19	genre	genre	NOUN
cana-691	134	20	of	of	ADP
cana-691	134	21	film	film	NOUN
cana-691	134	22	that	that	SCONJ
cana-691	134	23	a	a	DET
cana-691	134	24	given	give	VERB
cana-691	134	25	audience	audience	NOUN
cana-691	134	26	is	be	AUX
cana-691	134	27	most	most	ADV
cana-691	134	28	likely	likely	ADJ
cana-691	134	29	to	to	PART
cana-691	134	30	enjoy	enjoy	VERB
cana-691	134	31	.	.	PUNCT
cana-691	135	1	to	to	PART
cana-691	135	2	determine	determine	VERB
cana-691	135	3	the	the	DET
cana-691	135	4	degree	degree	NOUN
cana-691	135	5	to	to	PART
cana-691	135	6	which	which	PRON
cana-691	135	7	age	age	NOUN
cana-691	135	8	,	,	PUNCT
cana-691	135	9	relationship	relationship	NOUN
cana-691	135	10	status	status	NOUN
cana-691	135	11	,	,	PUNCT
cana-691	135	12	gender	gender	NOUN
cana-691	135	13	,	,	PUNCT
cana-691	135	14	and	and	CCONJ
cana-691	135	15	age	age	NOUN
cana-691	135	16	influence	influence	NOUN
cana-691	135	17	the	the	DET
cana-691	135	18	genre	genre	NOUN
cana-691	135	19	of	of	ADP
cana-691	135	20	film	film	NOUN
cana-691	135	21	that	that	PRON
cana-691	135	22	an	an	DET
cana-691	135	23	individual	individual	ADJ
cana-691	135	24	prefers	prefer	NOUN
cana-691	135	25	,	,	PUNCT
cana-691	135	26	the	the	DET
cana-691	135	27	studio	studio	NOUN
cana-691	135	28	may	may	AUX
cana-691	135	29	implement	implement	VERB
cana-691	135	30	a	a	DET
cana-691	135	31	multinomial	multinomial	ADJ
cana-691	135	32	logistic	logistic	ADJ
cana-691	135	33	regression	regression	NOUN
cana-691	135	34	model	model	NOUN
cana-691	135	35	.	.	PUNCT
cana-691	136	1	as	as	ADP
cana-691	136	2	a	a	DET
cana-691	136	3	result	result	NOUN
cana-691	136	4	,	,	PUNCT
cana-691	136	5	the	the	DET
cana-691	136	6	studio	studio	NOUN
cana-691	136	7	may	may	AUX
cana-691	136	8	opt	opt	VERB
cana-691	136	9	to	to	PART
cana-691	136	10	focus	focus	VERB
cana-691	136	11	its	its	PRON
cana-691	136	12	marketing	marketing	NOUN
cana-691	136	13	endeavours	endeavour	NOUN
cana-691	136	14	on	on	ADP
cana-691	136	15	the	the	DET
cana-691	136	16	specific	specific	ADJ
cana-691	136	17	demographic	demographic	NOUN
cana-691	136	18	that	that	PRON
cana-691	136	19	is	be	AUX
cana-691	136	20	relevant	relevant	ADJ
cana-691	136	21	to	to	ADP
cana-691	136	22	a	a	DET
cana-691	136	23	given	give	VERB
cana-691	136	24	film	film	NOUN
cana-691	136	25	.	.	PUNCT
cana-691	137	1	•ordinal	•ordinal	PROPN
cana-691	137	2	logistic	logistic	ADJ
cana-691	137	3	regression	regression	NOUN
cana-691	137	4	:	:	PUNCT
cana-691	137	5	despite	despite	SCONJ
cana-691	137	6	the	the	DET
cana-691	137	7	set	set	VERB
cana-691	137	8	order	order	NOUN
cana-691	137	9	of	of	ADP
cana-691	137	10	values	value	NOUN
cana-691	137	11	shown	show	VERB
cana-691	137	12	,	,	PUNCT
cana-691	137	13	this	this	DET
cana-691	137	14	type	type	NOUN
cana-691	137	15	of	of	ADP
cana-691	137	16	logistic	logistic	ADJ
cana-691	137	17	regression	regression	NOUN
cana-691	137	18	model	model	NOUN
cana-691	137	19	is	be	AUX
cana-691	137	20	used	use	VERB
cana-691	137	21	when	when	SCONJ
cana-691	137	22	the	the	DET
cana-691	137	23	response	response	NOUN
cana-691	137	24	variable	variable	NOUN
cana-691	137	25	has	have	VERB
cana-691	137	26	three	three	NUM
cana-691	137	27	or	or	CCONJ
cana-691	137	28	more	more	ADV
cana-691	137	29	possible	possible	ADJ
cana-691	137	30	outcomes	outcome	NOUN
cana-691	137	31	.	.	PUNCT
cana-691	138	1	ordinal	ordinal	ADJ
cana-691	138	2	responses	response	NOUN
cana-691	138	3	can	can	AUX
cana-691	138	4	be	be	AUX
cana-691	138	5	expressed	express	VERB
cana-691	138	6	as	as	ADP
cana-691	138	7	grading	grade	VERB
cana-691	138	8	schemes	scheme	NOUN
cana-691	138	9	or	or	CCONJ
cana-691	138	10	rating	rating	NOUN
cana-691	138	11	scales	scale	NOUN
cana-691	138	12	ranging	range	VERB
cana-691	138	13	from	from	ADP
cana-691	138	14	1	1	NUM
cana-691	138	15	to	to	PART
cana-691	138	16	5	5	NUM
cana-691	138	17	.	.	PUNCT
cana-691	139	1	communications	communication	NOUN
cana-691	139	2	on	on	ADP
cana-691	139	3	applied	apply	VERB
cana-691	139	4	nonlinear	nonlinear	ADJ
cana-691	139	5	analysis	analysis	NOUN
cana-691	139	6	issn	issn	NOUN
cana-691	139	7	:	:	PUNCT
cana-691	139	8	1074	1074	NUM
cana-691	139	9	-	-	PUNCT
cana-691	139	10	133x	133x	NUM
cana-691	139	11	vol	vol	NOUN
cana-691	139	12	31	31	NUM
cana-691	139	13	no	no	NOUN
cana-691	139	14	.	.	PUNCT
cana-691	140	1	2s	2s	NUM
cana-691	140	2	(	(	PUNCT
cana-691	140	3	2024	2024	NUM
cana-691	140	4	)	)	PUNCT
cana-691	140	5	653	653	NUM
cana-691	140	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-691	140	7	multi	multi	ADJ
cana-691	140	8	-	-	ADJ
cana-691	140	9	class	class	ADJ
cana-691	140	10	classification	classification	NOUN
cana-691	140	11	●	●	NOUN
cana-691	140	12	accuracy	accuracy	NOUN
cana-691	140	13	—	—	PUNCT
cana-691	140	14	97.59362680683311	97.59362680683311	NUM
cana-691	140	15	●	●	NUM
cana-691	140	16	mean	mean	ADJ
cana-691	140	17	absolute	absolute	ADJ
cana-691	140	18	error	error	NOUN
cana-691	140	19	—	—	PUNCT
cana-691	140	20	0.059912943495400786	0.059912943495400786	NUM
cana-691	140	21	●	●	NUM
cana-691	140	22	mean	mean	NOUN
cana-691	140	23	squared	square	VERB
cana-691	140	24	error	error	NOUN
cana-691	140	25	—	—	PUNCT
cana-691	140	26	0.17941031537450722	0.17941031537450722	NUM
cana-691	140	27	●	●	NUM
cana-691	140	28	root	root	NOUN
cana-691	140	29	mean	mean	NOUN
cana-691	140	30	squared	square	VERB
cana-691	140	31	error	error	NOUN
cana-691	140	32	—	—	PUNCT
cana-691	140	33	0.42356854861345317	0.42356854861345317	NUM
cana-691	140	34	●	●	NUM
cana-691	140	35	r2	r2	NOUN
cana-691	140	36	score	score	NOUN
cana-691	140	37	—	—	PUNCT
cana-691	140	38	87.93449282205455	87.93449282205455	NUM
cana-691	140	39	●	●	NUM
cana-691	140	40	svm	svm	ADJ
cana-691	140	41	algorithm	algorithm	NOUN
cana-691	140	42	1	1	NUM
cana-691	140	43	.	.	PUNCT
cana-691	140	44	input	input	NOUN
cana-691	140	45	:	:	PUNCT
cana-691	140	46	the	the	DET
cana-691	140	47	algorithm	algorithm	NOUN
cana-691	140	48	takes	take	VERB
cana-691	140	49	a	a	DET
cana-691	140	50	labelled	label	VERB
cana-691	140	51	dataset	dataset	NOUN
cana-691	140	52	as	as	ADP
cana-691	140	53	input	input	NOUN
cana-691	140	54	,	,	PUNCT
cana-691	140	55	where	where	SCONJ
cana-691	140	56	each	each	DET
cana-691	140	57	data	datum	NOUN
cana-691	140	58	point	point	VERB
cana-691	140	59	consists	consist	VERB
cana-691	140	60	of	of	ADP
cana-691	140	61	a	a	DET
cana-691	140	62	set	set	NOUN
cana-691	140	63	of	of	ADP
cana-691	140	64	features	feature	NOUN
cana-691	140	65	(	(	PUNCT
cana-691	140	66	x	x	NOUN
cana-691	140	67	)	)	PUNCT
cana-691	140	68	&	&	CCONJ
cana-691	140	69	a	a	DET
cana-691	140	70	corresponding	corresponding	ADJ
cana-691	140	71	binary	binary	ADJ
cana-691	140	72	class	class	NOUN
cana-691	140	73	label	label	NOUN
cana-691	140	74	(	(	PUNCT
cana-691	140	75	y	y	NOUN
cana-691	140	76	)	)	PUNCT
cana-691	140	77	indicating	indicate	VERB
cana-691	140	78	one	one	NUM
cana-691	140	79	of	of	ADP
cana-691	140	80	two	two	NUM
cana-691	140	81	classes	class	NOUN
cana-691	140	82	(	(	PUNCT
cana-691	140	83	e.g.	e.g.	ADV
cana-691	140	84	,	,	PUNCT
cana-691	140	85	0	0	NUM
cana-691	140	86	or	or	CCONJ
cana-691	140	87	1	1	NUM
cana-691	140	88	)	)	PUNCT
cana-691	140	89	.	.	PUNCT
cana-691	141	1	2	2	X
cana-691	141	2	.	.	X
cana-691	141	3	data	datum	NOUN
cana-691	141	4	preparation	preparation	NOUN
cana-691	141	5	:	:	PUNCT
cana-691	141	6	if	if	SCONJ
cana-691	141	7	needed	need	VERB
cana-691	141	8	,	,	PUNCT
cana-691	141	9	feature	feature	VERB
cana-691	141	10	scaling	scaling	NOUN
cana-691	141	11	and	and	CCONJ
cana-691	141	12	data	datum	NOUN
cana-691	141	13	normalization	normalization	NOUN
cana-691	141	14	can	can	AUX
cana-691	141	15	be	be	AUX
cana-691	141	16	performed	perform	VERB
cana-691	141	17	to	to	PART
cana-691	141	18	ensure	ensure	VERB
cana-691	141	19	that	that	SCONJ
cana-691	141	20	all	all	DET
cana-691	141	21	features	feature	NOUN
cana-691	141	22	have	have	VERB
cana-691	141	23	a	a	DET
cana-691	141	24	similar	similar	ADJ
cana-691	141	25	scale	scale	NOUN
cana-691	141	26	,	,	PUNCT
cana-691	141	27	which	which	PRON
cana-691	141	28	can	can	AUX
cana-691	141	29	improve	improve	VERB
cana-691	141	30	the	the	DET
cana-691	141	31	convergence	convergence	NOUN
cana-691	141	32	and	and	CCONJ
cana-691	141	33	performance	performance	NOUN
cana-691	141	34	of	of	ADP
cana-691	141	35	the	the	DET
cana-691	141	36	algorithm	algorithm	NOUN
cana-691	141	37	.	.	PUNCT
cana-691	142	1	3	3	X
cana-691	142	2	.	.	X
cana-691	142	3	feature	feature	NOUN
cana-691	142	4	space	space	NOUN
cana-691	142	5	transformation	transformation	NOUN
cana-691	142	6	kernel	kernel	PROPN
cana-691	142	7	trick	trick	NOUN
cana-691	142	8	optional	optional	ADJ
cana-691	142	9	:	:	PUNCT
cana-691	142	10	the	the	DET
cana-691	142	11	initial	initial	ADJ
cana-691	142	12	feature	feature	NOUN
cana-691	142	13	space	space	NOUN
cana-691	142	14	can	can	AUX
cana-691	142	15	be	be	AUX
cana-691	142	16	changed	change	VERB
cana-691	142	17	into	into	ADP
cana-691	142	18	a	a	DET
cana-691	142	19	higher	higher	ADV
cana-691	142	20	-	-	PUNCT
cana-691	142	21	dimensional	dimensional	ADJ
cana-691	142	22	space	space	NOUN
cana-691	142	23	using	use	VERB
cana-691	142	24	a	a	DET
cana-691	142	25	kernel	kernel	NOUN
cana-691	142	26	function	function	NOUN
cana-691	142	27	in	in	ADP
cana-691	142	28	svm	svm	PROPN
cana-691	142	29	.	.	PUNCT
cana-691	143	1	this	this	PRON
cana-691	143	2	enables	enable	VERB
cana-691	143	3	svm	svm	VERB
cana-691	143	4	to	to	PART
cana-691	143	5	identify	identify	VERB
cana-691	143	6	a	a	DET
cana-691	143	7	decision	decision	NOUN
cana-691	143	8	boundary	boundary	NOUN
cana-691	143	9	that	that	PRON
cana-691	143	10	may	may	AUX
cana-691	143	11	have	have	AUX
cana-691	143	12	been	be	AUX
cana-691	143	13	nonlinear	nonlinear	ADJ
cana-691	143	14	in	in	ADP
cana-691	143	15	the	the	DET
cana-691	143	16	original	original	ADJ
cana-691	143	17	space	space	NOUN
cana-691	143	18	but	but	CCONJ
cana-691	143	19	is	be	AUX
cana-691	143	20	now	now	ADV
cana-691	143	21	linear	linear	ADJ
cana-691	143	22	in	in	ADP
cana-691	143	23	the	the	DET
cana-691	143	24	modified	modified	ADJ
cana-691	143	25	space	space	NOUN
cana-691	143	26	.	.	PUNCT
cana-691	144	1	the	the	DET
cana-691	144	2	linear	linear	ADJ
cana-691	144	3	kernel	kernel	NOUN
cana-691	144	4	,	,	PUNCT
cana-691	144	5	polynomial	polynomial	ADJ
cana-691	144	6	kernel	kernel	NOUN
cana-691	144	7	,	,	PUNCT
cana-691	144	8	sigmoid	sigmoid	NOUN
cana-691	144	9	kernel	kernel	NOUN
cana-691	144	10	,	,	PUNCT
cana-691	144	11	and	and	CCONJ
cana-691	144	12	radial	radial	ADJ
cana-691	144	13	basis	basis	NOUN
cana-691	144	14	function	function	NOUN
cana-691	144	15	rbf	rbf	PROPN
cana-691	144	16	kernel	kernel	PROPN
cana-691	144	17	are	be	AUX
cana-691	144	18	examples	example	NOUN
cana-691	144	19	of	of	ADP
cana-691	144	20	common	common	ADJ
cana-691	144	21	kernel	kernel	NOUN
cana-691	144	22	functions	function	NOUN
cana-691	144	23	.	.	PUNCT
cana-691	145	1	4	4	X
cana-691	145	2	.	.	X
cana-691	145	3	margin	margin	NOUN
cana-691	145	4	maximization	maximization	NOUN
cana-691	145	5	:	:	PUNCT
cana-691	145	6	finding	find	VERB
cana-691	145	7	the	the	DET
cana-691	145	8	hyperplane	hyperplane	NOUN
cana-691	145	9	with	with	ADP
cana-691	145	10	the	the	DET
cana-691	145	11	largest	large	ADJ
cana-691	145	12	margin	margin	NOUN
cana-691	145	13	between	between	ADP
cana-691	145	14	the	the	DET
cana-691	145	15	two	two	NUM
cana-691	145	16	classes	class	NOUN
cana-691	145	17	is	be	AUX
cana-691	145	18	the	the	DET
cana-691	145	19	primary	primary	ADJ
cana-691	145	20	goal	goal	NOUN
cana-691	145	21	of	of	ADP
cana-691	145	22	svm	svm	PROPN
cana-691	145	23	.	.	PUNCT
cana-691	146	1	the	the	DET
cana-691	146	2	margin	margin	NOUN
cana-691	146	3	is	be	AUX
cana-691	146	4	the	the	DET
cana-691	146	5	distance	distance	NOUN
cana-691	146	6	between	between	ADP
cana-691	146	7	the	the	DET
cana-691	146	8	hyperplane	hyperplane	NOUN
cana-691	146	9	and	and	CCONJ
cana-691	146	10	the	the	DET
cana-691	146	11	closest	close	ADJ
cana-691	146	12	data	datum	NOUN
cana-691	146	13	points	point	NOUN
cana-691	146	14	of	of	ADP
cana-691	146	15	each	each	DET
cana-691	146	16	class	class	NOUN
cana-691	146	17	support	support	NOUN
cana-691	146	18	vectors	vector	NOUN
cana-691	146	19	.	.	PUNCT
cana-691	147	1	the	the	DET
cana-691	147	2	optimal	optimal	ADJ
cana-691	147	3	hyperplane	hyperplane	NOUN
cana-691	147	4	is	be	AUX
cana-691	147	5	the	the	DET
cana-691	147	6	one	one	NOUN
cana-691	147	7	that	that	PRON
cana-691	147	8	achieves	achieve	VERB
cana-691	147	9	the	the	DET
cana-691	147	10	largest	large	ADJ
cana-691	147	11	margin	margin	NOUN
cana-691	147	12	while	while	SCONJ
cana-691	147	13	correctly	correctly	ADV
cana-691	147	14	classifying	classify	VERB
cana-691	147	15	the	the	DET
cana-691	147	16	data	data	NOUN
cana-691	147	17	points	point	NOUN
cana-691	147	18	.	.	PUNCT
cana-691	148	1	5	5	X
cana-691	148	2	.	.	X
cana-691	148	3	soft	soft	ADJ
cana-691	148	4	margin	margin	NOUN
cana-691	148	5	optional	optional	ADJ
cana-691	148	6	:	:	PUNCT
cana-691	148	7	svm	svm	ADJ
cana-691	148	8	introduces	introduce	NOUN
cana-691	148	9	slack	slack	VERB
cana-691	148	10	variables	variable	NOUN
cana-691	148	11	to	to	PART
cana-691	148	12	allow	allow	VERB
cana-691	148	13	for	for	ADP
cana-691	148	14	a	a	DET
cana-691	148	15	soft	soft	ADJ
cana-691	148	16	margin	margin	NOUN
cana-691	148	17	in	in	ADP
cana-691	148	18	situations	situation	NOUN
cana-691	148	19	where	where	SCONJ
cana-691	148	20	the	the	DET
cana-691	148	21	data	data	NOUN
cana-691	148	22	is	be	AUX
cana-691	148	23	not	not	PART
cana-691	148	24	perfectly	perfectly	ADV
cana-691	148	25	separable	separable	ADJ
cana-691	148	26	.	.	PUNCT
cana-691	149	1	these	these	DET
cana-691	149	2	slack	slack	NOUN
cana-691	149	3	variables	variable	NOUN
cana-691	149	4	allow	allow	VERB
cana-691	149	5	some	some	DET
cana-691	149	6	data	datum	NOUN
cana-691	149	7	points	point	NOUN
cana-691	149	8	to	to	PART
cana-691	149	9	be	be	AUX
cana-691	149	10	misclassified	misclassifie	VERB
cana-691	149	11	or	or	CCONJ
cana-691	149	12	fall	fall	VERB
cana-691	149	13	within	within	ADP
cana-691	149	14	the	the	DET
cana-691	149	15	margin	margin	NOUN
cana-691	149	16	region	region	NOUN
cana-691	149	17	,	,	PUNCT
cana-691	149	18	but	but	CCONJ
cana-691	149	19	with	with	ADP
cana-691	149	20	a	a	DET
cana-691	149	21	penalty	penalty	NOUN
cana-691	149	22	for	for	ADP
cana-691	149	23	misclassification	misclassification	NOUN
cana-691	149	24	.	.	PUNCT
cana-691	150	1	the	the	DET
cana-691	150	2	objective	objective	NOUN
cana-691	150	3	is	be	AUX
cana-691	150	4	to	to	PART
cana-691	150	5	balance	balance	VERB
cana-691	150	6	the	the	DET
cana-691	150	7	margin	margin	NOUN
cana-691	150	8	maximization	maximization	NOUN
cana-691	150	9	and	and	CCONJ
cana-691	150	10	the	the	DET
cana-691	150	11	classification	classification	NOUN
cana-691	150	12	error	error	NOUN
cana-691	150	13	.	.	PUNCT
cana-691	151	1	6	6	X
cana-691	151	2	.	.	X
cana-691	151	3	optimization	optimization	NOUN
cana-691	151	4	problem	problem	NOUN
cana-691	151	5	:	:	PUNCT
cana-691	151	6	the	the	DET
cana-691	151	7	svm	svm	ADJ
cana-691	151	8	technique	technique	NOUN
cana-691	151	9	frames	frame	VERB
cana-691	151	10	the	the	DET
cana-691	151	11	issue	issue	NOUN
cana-691	151	12	as	as	ADP
cana-691	151	13	a	a	DET
cana-691	151	14	convex	convex	NOUN
cana-691	151	15	optimisation	optimisation	NOUN
cana-691	151	16	problem	problem	NOUN
cana-691	151	17	in	in	ADP
cana-691	151	18	order	order	NOUN
cana-691	151	19	to	to	PART
cana-691	151	20	determine	determine	VERB
cana-691	151	21	the	the	DET
cana-691	151	22	ideal	ideal	ADJ
cana-691	151	23	weights	weight	NOUN
cana-691	151	24	and	and	CCONJ
cana-691	151	25	biases	bias	NOUN
cana-691	151	26	for	for	ADP
cana-691	151	27	the	the	DET
cana-691	151	28	hyperplane	hyperplane	NOUN
cana-691	151	29	.	.	PUNCT
cana-691	152	1	the	the	DET
cana-691	152	2	optimisation	optimisation	NOUN
cana-691	152	3	seeks	seek	VERB
cana-691	152	4	to	to	PART
cana-691	152	5	maximise	maximise	VERB
cana-691	152	6	the	the	DET
cana-691	152	7	margin	margin	NOUN
cana-691	152	8	and	and	CCONJ
cana-691	152	9	minimise	minimise	VERB
cana-691	152	10	the	the	DET
cana-691	152	11	classification	classification	NOUN
cana-691	152	12	error	error	NOUN
cana-691	152	13	of	of	ADP
cana-691	152	14	incorrectly	incorrectly	ADV
cana-691	152	15	categorised	categorise	VERB
cana-691	152	16	data	datum	NOUN
cana-691	152	17	points	point	NOUN
cana-691	152	18	.	.	PUNCT
cana-691	153	1	7	7	X
cana-691	153	2	.	.	PUNCT
cana-691	153	3	kernel	kernel	PROPN
cana-691	153	4	parameters	parameter	NOUN
cana-691	153	5	optional	optional	ADJ
cana-691	153	6	:	:	PUNCT
cana-691	153	7	in	in	ADP
cana-691	153	8	the	the	DET
cana-691	153	9	event	event	NOUN
cana-691	153	10	that	that	PRON
cana-691	153	11	a	a	DET
cana-691	153	12	kernel	kernel	NOUN
cana-691	153	13	function	function	NOUN
cana-691	153	14	is	be	AUX
cana-691	153	15	employed	employ	VERB
cana-691	153	16	,	,	PUNCT
cana-691	153	17	the	the	DET
cana-691	153	18	svm	svm	ADJ
cana-691	153	19	algorithm	algorithm	NOUN
cana-691	153	20	may	may	AUX
cana-691	153	21	further	far	ADV
cana-691	153	22	entail	entail	VERB
cana-691	153	23	fine	fine	ADV
cana-691	153	24	-	-	PUNCT
cana-691	153	25	tuning	tune	VERB
cana-691	153	26	the	the	DET
cana-691	153	27	kernel	kernel	NOUN
cana-691	153	28	parameters	parameter	NOUN
cana-691	153	29	,	,	PUNCT
cana-691	153	30	such	such	ADJ
cana-691	153	31	as	as	ADP
cana-691	153	32	the	the	DET
cana-691	153	33	polynomial	polynomial	ADJ
cana-691	153	34	kernel	kernel	NOUN
cana-691	153	35	's	's	PART
cana-691	153	36	degree	degree	NOUN
cana-691	153	37	or	or	CCONJ
cana-691	153	38	the	the	DET
cana-691	153	39	rbf	rbf	PROPN
cana-691	153	40	kernel	kernel	PROPN
cana-691	153	41	's	's	PART
cana-691	153	42	width	width	NOUN
cana-691	153	43	,	,	PUNCT
cana-691	153	44	in	in	ADP
cana-691	153	45	order	order	NOUN
cana-691	153	46	to	to	PART
cana-691	153	47	maximise	maximise	VERB
cana-691	153	48	performance	performance	NOUN
cana-691	153	49	on	on	ADP
cana-691	153	50	the	the	DET
cana-691	153	51	training	training	NOUN
cana-691	153	52	set	set	NOUN
cana-691	153	53	.	.	PUNCT
cana-691	154	1	8	8	X
cana-691	154	2	.	.	X
cana-691	154	3	training	training	NOUN
cana-691	154	4	:	:	PUNCT
cana-691	154	5	in	in	ADP
cana-691	154	6	the	the	DET
cana-691	154	7	training	training	NOUN
cana-691	154	8	phase	phase	NOUN
cana-691	154	9	,	,	PUNCT
cana-691	154	10	the	the	DET
cana-691	154	11	algorithm	algorithm	NOUN
cana-691	154	12	finds	find	VERB
cana-691	154	13	the	the	DET
cana-691	154	14	ideal	ideal	ADJ
cana-691	154	15	hyperplane	hyperplane	NOUN
cana-691	154	16	parameters	parameter	NOUN
cana-691	154	17	by	by	ADP
cana-691	154	18	solving	solve	VERB
cana-691	154	19	the	the	DET
cana-691	154	20	optimisation	optimisation	NOUN
cana-691	154	21	issue	issue	NOUN
cana-691	154	22	using	use	VERB
cana-691	154	23	methods	method	NOUN
cana-691	154	24	such	such	ADJ
cana-691	154	25	as	as	ADP
cana-691	154	26	quadratic	quadratic	ADJ
cana-691	154	27	programming	programming	NOUN
cana-691	154	28	or	or	CCONJ
cana-691	154	29	sequential	sequential	ADJ
cana-691	154	30	minimal	minimal	ADJ
cana-691	154	31	optimisation	optimisation	NOUN
cana-691	154	32	(	(	PUNCT
cana-691	154	33	smo	smo	PROPN
cana-691	154	34	)	)	PUNCT
cana-691	154	35	.	.	PUNCT
cana-691	155	1	9	9	X
cana-691	155	2	.	.	X
cana-691	155	3	prediction	prediction	NOUN
cana-691	155	4	:	:	PUNCT
cana-691	155	5	the	the	DET
cana-691	155	6	model	model	NOUN
cana-691	155	7	can	can	AUX
cana-691	155	8	be	be	AUX
cana-691	155	9	used	use	VERB
cana-691	155	10	to	to	PART
cana-691	155	11	predict	predict	VERB
cana-691	155	12	the	the	DET
cana-691	155	13	class	class	NOUN
cana-691	155	14	label	label	NOUN
cana-691	155	15	for	for	ADP
cana-691	155	16	fresh	fresh	ADJ
cana-691	155	17	data	datum	NOUN
cana-691	155	18	points	point	NOUN
cana-691	155	19	once	once	SCONJ
cana-691	155	20	it	it	PRON
cana-691	155	21	has	have	AUX
cana-691	155	22	been	be	AUX
cana-691	155	23	trained	train	VERB
cana-691	155	24	.	.	PUNCT
cana-691	156	1	the	the	DET
cana-691	156	2	predicted	predict	VERB
cana-691	156	3	class	class	NOUN
cana-691	156	4	label	label	NOUN
cana-691	156	5	is	be	AUX
cana-691	156	6	determined	determine	VERB
cana-691	156	7	by	by	ADP
cana-691	156	8	comparing	compare	VERB
cana-691	156	9	the	the	DET
cana-691	156	10	signed	sign	VERB
cana-691	156	11	distance	distance	NOUN
cana-691	156	12	of	of	ADP
cana-691	156	13	the	the	DET
cana-691	156	14	data	data	NOUN
cana-691	156	15	point	point	NOUN
cana-691	156	16	to	to	ADP
cana-691	156	17	the	the	DET
cana-691	156	18	hyperplane	hyperplane	NOUN
cana-691	156	19	.	.	PUNCT
cana-691	157	1	if	if	SCONJ
cana-691	157	2	the	the	DET
cana-691	157	3	signed	sign	VERB
cana-691	157	4	distance	distance	NOUN
cana-691	157	5	is	be	AUX
cana-691	157	6	positive	positive	ADJ
cana-691	157	7	,	,	PUNCT
cana-691	157	8	the	the	DET
cana-691	157	9	data	data	NOUN
cana-691	157	10	point	point	NOUN
cana-691	157	11	belongs	belong	VERB
cana-691	157	12	to	to	ADP
cana-691	157	13	one	one	NUM
cana-691	157	14	class	class	NOUN
cana-691	157	15	;	;	PUNCT
cana-691	157	16	otherwise	otherwise	ADV
cana-691	157	17	,	,	PUNCT
cana-691	157	18	it	it	PRON
cana-691	157	19	belongs	belong	VERB
cana-691	157	20	to	to	ADP
cana-691	157	21	the	the	DET
cana-691	157	22	other	other	ADJ
cana-691	157	23	class	class	NOUN
cana-691	157	24	.	.	PUNCT
cana-691	158	1	10	10	NUM
cana-691	158	2	.	.	X
cana-691	159	1	output	output	NOUN
cana-691	159	2	:	:	PUNCT
cana-691	159	3	for	for	ADP
cana-691	159	4	binary	binary	ADJ
cana-691	159	5	classification	classification	NOUN
cana-691	159	6	tasks	task	NOUN
cana-691	159	7	,	,	PUNCT
cana-691	159	8	the	the	DET
cana-691	159	9	support	support	NOUN
cana-691	159	10	vector	vector	NOUN
cana-691	159	11	machine	machine	NOUN
cana-691	159	12	technique	technique	NOUN
cana-691	159	13	provides	provide	VERB
cana-691	159	14	an	an	DET
cana-691	159	15	output	output	NOUN
cana-691	159	16	of	of	ADP
cana-691	159	17	the	the	DET
cana-691	159	18	learnt	learnt	ADJ
cana-691	159	19	model	model	NOUN
cana-691	159	20	parameters	parameter	NOUN
cana-691	159	21	(	(	PUNCT
cana-691	159	22	weights	weight	NOUN
cana-691	159	23	and	and	CCONJ
cana-691	159	24	bias).it	bias).it	PROPN
cana-691	159	25	is	be	AUX
cana-691	159	26	well	well	ADV
cana-691	159	27	known	know	VERB
cana-691	159	28	that	that	SCONJ
cana-691	159	29	svm	svm	PROPN
cana-691	159	30	can	can	AUX
cana-691	159	31	handle	handle	VERB
cana-691	159	32	high	high	ADJ
cana-691	159	33	-	-	PUNCT
cana-691	159	34	dimensional	dimensional	ADJ
cana-691	159	35	data	datum	NOUN
cana-691	159	36	and	and	CCONJ
cana-691	159	37	find	find	VERB
cana-691	159	38	difficult	difficult	ADJ
cana-691	159	39	decision	decision	NOUN
cana-691	159	40	boundaries	boundary	NOUN
cana-691	159	41	,	,	PUNCT
cana-691	159	42	making	make	VERB
cana-691	159	43	it	it	PRON
cana-691	159	44	a	a	DET
cana-691	159	45	reliable	reliable	ADJ
cana-691	159	46	classification	classification	NOUN
cana-691	159	47	communications	communication	NOUN
cana-691	159	48	on	on	ADP
cana-691	159	49	applied	apply	VERB
cana-691	159	50	nonlinear	nonlinear	ADJ
cana-691	159	51	analysis	analysis	NOUN
cana-691	159	52	issn	issn	NOUN
cana-691	159	53	:	:	PUNCT
cana-691	159	54	1074	1074	NUM
cana-691	159	55	-	-	PUNCT
cana-691	159	56	133x	133x	NUM
cana-691	159	57	vol	vol	NOUN
cana-691	159	58	31	31	NUM
cana-691	159	59	no	no	NOUN
cana-691	159	60	.	.	PUNCT
cana-691	160	1	2s	2s	NUM
cana-691	160	2	(	(	PUNCT
cana-691	160	3	2024	2024	NUM
cana-691	160	4	)	)	PUNCT
cana-691	160	5	654	654	NUM
cana-691	160	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-691	160	7	system	system	NOUN
cana-691	160	8	.	.	PUNCT
cana-691	161	1	when	when	SCONJ
cana-691	161	2	the	the	DET
cana-691	161	3	data	datum	NOUN
cana-691	161	4	are	be	AUX
cana-691	161	5	clear	clear	ADJ
cana-691	161	6	and	and	CCONJ
cana-691	161	7	the	the	DET
cana-691	161	8	categories	category	NOUN
cana-691	161	9	are	be	AUX
cana-691	161	10	distinct	distinct	ADJ
cana-691	161	11	,	,	PUNCT
cana-691	161	12	this	this	DET
cana-691	161	13	method	method	NOUN
cana-691	161	14	shines	shine	VERB
cana-691	161	15	.	.	PUNCT
cana-691	162	1	using	use	VERB
cana-691	162	2	techniques	technique	NOUN
cana-691	162	3	such	such	ADJ
cana-691	162	4	as	as	ADP
cana-691	162	5	one	one	NUM
cana-691	162	6	-	-	PUNCT
cana-691	162	7	vs	vs	ADP
cana-691	162	8	-	-	PUNCT
cana-691	162	9	one	one	NUM
cana-691	162	10	(	(	PUNCT
cana-691	162	11	ovo	ovo	PROPN
cana-691	162	12	)	)	PUNCT
cana-691	162	13	or	or	CCONJ
cana-691	162	14	one	one	NUM
cana-691	162	15	-	-	PUNCT
cana-691	162	16	vs	vs	ADP
cana-691	162	17	-	-	PUNCT
cana-691	162	18	rest	rest	NOUN
cana-691	162	19	ovr	ovr	NOUN
cana-691	162	20	strategies	strategy	NOUN
cana-691	162	21	,	,	PUNCT
cana-691	162	22	svm	svm	PROPN
cana-691	162	23	can	can	AUX
cana-691	162	24	be	be	AUX
cana-691	162	25	adapted	adapt	VERB
cana-691	162	26	to	to	PART
cana-691	162	27	perform	perform	VERB
cana-691	162	28	multiclass	multiclass	ADJ
cana-691	162	29	classification	classification	NOUN
cana-691	162	30	.	.	PUNCT
cana-691	163	1	in	in	ADP
cana-691	163	2	addition	addition	NOUN
cana-691	163	3	,	,	PUNCT
cana-691	163	4	the	the	DET
cana-691	163	5	support	support	NOUN
cana-691	163	6	vector	vector	NOUN
cana-691	163	7	regression	regression	NOUN
cana-691	163	8	svr	svr	PROPN
cana-691	163	9	variant	variant	NOUN
cana-691	163	10	of	of	ADP
cana-691	163	11	svm	svm	PROPN
cana-691	163	12	can	can	AUX
cana-691	163	13	be	be	AUX
cana-691	163	14	used	use	VERB
cana-691	163	15	for	for	ADP
cana-691	163	16	regression	regression	NOUN
cana-691	163	17	assignments	assignment	NOUN
cana-691	163	18	.	.	PUNCT
cana-691	164	1	4	4	X
cana-691	164	2	.	.	NOUN
cana-691	164	3	results	result	NOUN
cana-691	164	4	and	and	CCONJ
cana-691	164	5	discussion	discussion	VERB
cana-691	164	6	the	the	DET
cana-691	164	7	assessment	assessment	NOUN
cana-691	164	8	of	of	ADP
cana-691	164	9	the	the	DET
cana-691	164	10	adaptive	adaptive	ADJ
cana-691	164	11	neural	neural	ADJ
cana-691	164	12	network	network	NOUN
cana-691	164	13	approach	approach	NOUN
cana-691	164	14	to	to	ADP
cana-691	164	15	intrusion	intrusion	NOUN
cana-691	164	16	detection	detection	NOUN
cana-691	164	17	involved	involve	VERB
cana-691	164	18	conducting	conduct	VERB
cana-691	164	19	three	three	NUM
cana-691	164	20	experiments	experiment	NOUN
cana-691	164	21	using	use	VERB
cana-691	164	22	the	the	DET
cana-691	164	23	prototype	prototype	NOUN
cana-691	164	24	application	application	NOUN
cana-691	164	25	.	.	PUNCT
cana-691	165	1	the	the	DET
cana-691	165	2	effectiveness	effectiveness	NOUN
cana-691	165	3	of	of	ADP
cana-691	165	4	several	several	ADJ
cana-691	165	5	algorithms	algorithm	NOUN
cana-691	165	6	,	,	PUNCT
cana-691	165	7	such	such	ADJ
cana-691	165	8	as	as	ADP
cana-691	165	9	svm	svm	ADJ
cana-691	165	10	,	,	PUNCT
cana-691	165	11	linear	linear	ADJ
cana-691	165	12	regression	regression	NOUN
cana-691	165	13	,	,	PUNCT
cana-691	165	14	&	&	CCONJ
cana-691	165	15	logistic	logistic	ADJ
cana-691	165	16	regression	regression	NOUN
cana-691	165	17	,	,	PUNCT
cana-691	165	18	was	be	AUX
cana-691	165	19	assessed	assess	VERB
cana-691	165	20	in	in	ADP
cana-691	165	21	these	these	DET
cana-691	165	22	trials	trial	NOUN
cana-691	165	23	.	.	PUNCT
cana-691	166	1	the	the	DET
cana-691	166	2	results	result	NOUN
cana-691	166	3	clearly	clearly	ADV
cana-691	166	4	demonstrated	demonstrate	VERB
cana-691	166	5	that	that	SCONJ
cana-691	166	6	the	the	DET
cana-691	166	7	support	support	NOUN
cana-691	166	8	vector	vector	NOUN
cana-691	166	9	machine	machine	NOUN
cana-691	166	10	consistently	consistently	ADV
cana-691	166	11	provided	provide	VERB
cana-691	166	12	higher	high	ADJ
cana-691	166	13	accuracy	accuracy	NOUN
cana-691	166	14	compared	compare	VERB
cana-691	166	15	to	to	ADP
cana-691	166	16	both	both	CCONJ
cana-691	166	17	linear	linear	ADJ
cana-691	166	18	and	and	CCONJ
cana-691	166	19	logistic	logistic	ADJ
cana-691	166	20	regression	regression	NOUN
cana-691	166	21	models	model	NOUN
cana-691	166	22	.	.	PUNCT
cana-691	167	1	this	this	PRON
cana-691	167	2	suggests	suggest	VERB
cana-691	167	3	that	that	SCONJ
cana-691	167	4	the	the	DET
cana-691	167	5	adaptive	adaptive	ADJ
cana-691	167	6	neural	neural	ADJ
cana-691	167	7	network	network	NOUN
cana-691	167	8	approach	approach	NOUN
cana-691	167	9	,	,	PUNCT
cana-691	167	10	when	when	SCONJ
cana-691	167	11	implemented	implement	VERB
cana-691	167	12	using	use	VERB
cana-691	167	13	a	a	DET
cana-691	167	14	support	support	NOUN
cana-691	167	15	vector	vector	NOUN
cana-691	167	16	machine	machine	NOUN
cana-691	167	17	,	,	PUNCT
cana-691	167	18	holds	hold	VERB
cana-691	167	19	significant	significant	ADJ
cana-691	167	20	promise	promise	NOUN
cana-691	167	21	for	for	ADP
cana-691	167	22	improving	improve	VERB
cana-691	167	23	ids	id	NOUN
cana-691	167	24	'	'	PART
cana-691	167	25	effectiveness	effectiveness	NOUN
cana-691	167	26	and	and	CCONJ
cana-691	167	27	accuracy	accuracy	NOUN
cana-691	167	28	.	.	PUNCT
cana-691	168	1	5	5	X
cana-691	168	2	.	.	X
cana-691	168	3	conclusion	conclusion	NOUN
cana-691	168	4	ids	id	NOUN
cana-691	168	5	are	be	AUX
cana-691	168	6	essential	essential	ADJ
cana-691	168	7	for	for	ADP
cana-691	168	8	protecting	protect	VERB
cana-691	168	9	computer	computer	NOUN
cana-691	168	10	and	and	CCONJ
cana-691	168	11	network	network	NOUN
cana-691	168	12	-	-	PUNCT
cana-691	168	13	based	base	VERB
cana-691	168	14	systems	system	NOUN
cana-691	168	15	because	because	SCONJ
cana-691	168	16	they	they	PRON
cana-691	168	17	continuously	continuously	ADV
cana-691	168	18	monitor	monitor	VERB
cana-691	168	19	protocol	protocol	NOUN
cana-691	168	20	traffic	traffic	NOUN
cana-691	168	21	for	for	ADP
cana-691	168	22	possible	possible	ADJ
cana-691	168	23	breaches	breach	NOUN
cana-691	168	24	and	and	CCONJ
cana-691	168	25	assaults	assault	NOUN
cana-691	168	26	.	.	PUNCT
cana-691	169	1	the	the	DET
cana-691	169	2	adaptability	adaptability	NOUN
cana-691	169	3	of	of	ADP
cana-691	169	4	ids	id	NOUN
cana-691	169	5	allows	allow	VERB
cana-691	169	6	for	for	ADP
cana-691	169	7	adjustments	adjustment	NOUN
cana-691	169	8	in	in	ADP
cana-691	169	9	response	response	NOUN
cana-691	169	10	to	to	ADP
cana-691	169	11	both	both	CCONJ
cana-691	169	12	external	external	ADJ
cana-691	169	13	and	and	CCONJ
cana-691	169	14	internal	internal	ADJ
cana-691	169	15	threats	threat	NOUN
cana-691	169	16	.	.	PUNCT
cana-691	170	1	in	in	ADP
cana-691	170	2	this	this	DET
cana-691	170	3	study	study	NOUN
cana-691	170	4	,	,	PUNCT
cana-691	170	5	we	we	PRON
cana-691	170	6	conducted	conduct	VERB
cana-691	170	7	a	a	DET
cana-691	170	8	comparative	comparative	ADJ
cana-691	170	9	analysis	analysis	NOUN
cana-691	170	10	of	of	ADP
cana-691	170	11	ids	id	NOUN
cana-691	170	12	using	use	VERB
cana-691	170	13	linear	linear	ADJ
cana-691	170	14	logistic	logistic	ADJ
cana-691	170	15	regression	regression	NOUN
cana-691	170	16	&	&	CCONJ
cana-691	170	17	svm	svm	PROPN
cana-691	170	18	.	.	PROPN
cana-691	171	1	in	in	ADP
cana-691	171	2	conclusion	conclusion	NOUN
cana-691	171	3	,	,	PUNCT
cana-691	171	4	the	the	DET
cana-691	171	5	experiments	experiment	NOUN
cana-691	171	6	conducted	conduct	VERB
cana-691	171	7	using	use	VERB
cana-691	171	8	the	the	DET
cana-691	171	9	prototype	prototype	NOUN
cana-691	171	10	application	application	NOUN
cana-691	171	11	to	to	PART
cana-691	171	12	assess	assess	VERB
cana-691	171	13	the	the	DET
cana-691	171	14	viability	viability	NOUN
cana-691	171	15	of	of	ADP
cana-691	171	16	the	the	DET
cana-691	171	17	adaptive	adaptive	ADJ
cana-691	171	18	neural	neural	ADJ
cana-691	171	19	network	network	NOUN
cana-691	171	20	approach	approach	NOUN
cana-691	171	21	for	for	ADP
cana-691	171	22	intrusion	intrusion	NOUN
cana-691	171	23	detection	detection	NOUN
cana-691	171	24	revealed	reveal	VERB
cana-691	171	25	valuable	valuable	ADJ
cana-691	171	26	insights	insight	NOUN
cana-691	171	27	.	.	PUNCT
cana-691	172	1	specifically	specifically	ADV
cana-691	172	2	,	,	PUNCT
cana-691	172	3	the	the	DET
cana-691	172	4	support	support	NOUN
cana-691	172	5	vector	vector	NOUN
cana-691	172	6	machine	machine	NOUN
cana-691	172	7	algorithm	algorithm	NOUN
cana-691	172	8	consistently	consistently	ADV
cana-691	172	9	outperformed	outperform	VERB
cana-691	172	10	linear	linear	PROPN
cana-691	172	11	and	and	CCONJ
cana-691	172	12	logistic	logistic	ADJ
cana-691	172	13	regression	regression	NOUN
cana-691	172	14	models	model	NOUN
cana-691	172	15	in	in	ADP
cana-691	172	16	terms	term	NOUN
cana-691	172	17	of	of	ADP
cana-691	172	18	accuracy	accuracy	NOUN
cana-691	172	19	.	.	PUNCT
cana-691	173	1	this	this	DET
cana-691	173	2	finding	finding	NOUN
cana-691	173	3	underscores	underscore	VERB
cana-691	173	4	the	the	DET
cana-691	173	5	potential	potential	ADJ
cana-691	173	6	effectiveness	effectiveness	NOUN
cana-691	173	7	of	of	ADP
cana-691	173	8	the	the	DET
cana-691	173	9	adaptive	adaptive	ADJ
cana-691	173	10	neural	neural	ADJ
cana-691	173	11	network	network	NOUN
cana-691	173	12	approach	approach	NOUN
cana-691	173	13	for	for	ADP
cana-691	173	14	enhancing	enhance	VERB
cana-691	173	15	ids	id	NOUN
cana-691	173	16	.	.	PUNCT
cana-691	174	1	these	these	DET
cana-691	174	2	findings	finding	NOUN
cana-691	174	3	imply	imply	VERB
cana-691	174	4	that	that	SCONJ
cana-691	174	5	more	more	ADJ
cana-691	174	6	investigation	investigation	NOUN
cana-691	174	7	and	and	CCONJ
cana-691	174	8	advancement	advancement	NOUN
cana-691	174	9	in	in	ADP
cana-691	174	10	this	this	DET
cana-691	174	11	area	area	NOUN
cana-691	174	12	may	may	AUX
cana-691	174	13	result	result	VERB
cana-691	174	14	in	in	ADP
cana-691	174	15	ids	id	NOUN
cana-691	174	16	that	that	PRON
cana-691	174	17	are	be	AUX
cana-691	174	18	more	more	ADV
cana-691	174	19	reliable	reliable	ADJ
cana-691	174	20	and	and	CCONJ
cana-691	174	21	accurate	accurate	ADJ
cana-691	174	22	.	.	PUNCT
cana-691	175	1	implementing	implement	VERB
cana-691	175	2	adaptive	adaptive	ADJ
cana-691	175	3	neural	neural	ADJ
cana-691	175	4	networks	network	NOUN
cana-691	175	5	,	,	PUNCT
cana-691	175	6	particularly	particularly	ADV
cana-691	175	7	with	with	ADP
cana-691	175	8	svm	svm	PROPN
cana-691	175	9	,	,	PUNCT
cana-691	175	10	holds	hold	VERB
cana-691	175	11	promise	promise	NOUN
cana-691	175	12	for	for	ADP
cana-691	175	13	addressing	address	VERB
cana-691	175	14	the	the	DET
cana-691	175	15	evolving	evolve	VERB
cana-691	175	16	challenges	challenge	NOUN
cana-691	175	17	in	in	ADP
cana-691	175	18	cybersecurity	cybersecurity	NOUN
cana-691	175	19	and	and	CCONJ
cana-691	175	20	bolstering	bolster	VERB
cana-691	175	21	our	our	PRON
cana-691	175	22	ability	ability	NOUN
cana-691	175	23	to	to	PART
cana-691	175	24	detect	detect	VERB
cana-691	175	25	and	and	CCONJ
cana-691	175	26	respond	respond	VERB
cana-691	175	27	to	to	ADP
cana-691	175	28	intrusions	intrusion	NOUN
cana-691	175	29	effectively	effectively	ADV
cana-691	175	30	.	.	PUNCT
cana-691	176	1	however	however	ADV
cana-691	176	2	,	,	PUNCT
cana-691	176	3	additional	additional	ADJ
cana-691	176	4	investigations	investigation	NOUN
cana-691	176	5	and	and	CCONJ
cana-691	176	6	real	real	ADJ
cana-691	176	7	-	-	PUNCT
cana-691	176	8	world	world	NOUN
cana-691	176	9	testing	testing	NOUN
cana-691	176	10	are	be	AUX
cana-691	176	11	warranted	warrant	VERB
cana-691	176	12	to	to	ADP
cana-691	176	13	fully	fully	ADV
cana-691	176	14	harness	harness	VERB
cana-691	176	15	the	the	DET
cana-691	176	16	capabilities	capability	NOUN
cana-691	176	17	of	of	ADP
cana-691	176	18	this	this	DET
cana-691	176	19	approach	approach	NOUN
cana-691	176	20	and	and	CCONJ
cana-691	176	21	validate	validate	VERB
cana-691	176	22	its	its	PRON
cana-691	176	23	practicality	practicality	NOUN
cana-691	176	24	in	in	ADP
cana-691	176	25	various	various	ADJ
cana-691	176	26	security	security	NOUN
cana-691	176	27	contexts	contexts	NOUN
cana-691	176	28	.	.	PUNCT
cana-691	177	1	acknowledgment	acknowledgment	NOUN
cana-691	177	2	in	in	ADP
cana-691	177	3	america	america	PROPN
cana-691	177	4	,	,	PUNCT
cana-691	177	5	the	the	DET
cana-691	177	6	word	word	NOUN
cana-691	177	7	"	"	PUNCT
cana-691	177	8	acknowledgment	acknowledgment	NOUN
cana-691	177	9	"	"	PUNCT
cana-691	177	10	is	be	AUX
cana-691	177	11	most	most	ADV
cana-691	177	12	often	often	ADV
cana-691	177	13	spelled	spell	VERB
cana-691	177	14	without	without	ADP
cana-691	177	15	a	a	DET
cana-691	177	16	"	"	PUNCT
cana-691	177	17	g	g	NOUN
cana-691	177	18	"	"	PUNCT
cana-691	177	19	following	follow	VERB
cana-691	177	20	the	the	DET
cana-691	177	21	"	"	PUNCT
cana-691	177	22	e.	e.	PROPN
cana-691	177	23	"	"	PUNCT
cana-691	177	24	steer	steer	VERB
cana-691	177	25	clear	clear	ADJ
cana-691	177	26	of	of	ADP
cana-691	177	27	the	the	DET
cana-691	177	28	stuttering	stuttering	ADJ
cana-691	177	29	phrase	phrase	NOUN
cana-691	177	30	"	"	PUNCT
cana-691	177	31	one	one	NUM
cana-691	177	32	of	of	ADP
cana-691	177	33	us	we	PRON
cana-691	177	34	(	(	PUNCT
cana-691	177	35	r.	r.	PROPN
cana-691	177	36	b.	b.	PROPN
cana-691	177	37	g.	g.	PROPN
cana-691	177	38	)	)	PUNCT
cana-691	177	39	thanks	thank	NOUN
cana-691	177	40	.	.	PUNCT
cana-691	177	41	"	"	PUNCT
cana-691	178	1	say	say	VERB
cana-691	178	2	"	"	PUNCT
cana-691	178	3	r.b.g	r.b.g	ADJ
cana-691	178	4	.	.	PUNCT
cana-691	178	5	thanks	thank	NOUN
cana-691	178	6	...	...	PUNCT
cana-691	178	7	"	"	PUNCT
cana-691	178	8	instead	instead	ADV
cana-691	178	9	.	.	PUNCT
cana-691	179	1	include	include	VERB
cana-691	179	2	acknowledgements	acknowledgement	NOUN
cana-691	179	3	of	of	ADP
cana-691	179	4	sponsors	sponsor	NOUN
cana-691	179	5	in	in	ADP
cana-691	179	6	the	the	DET
cana-691	179	7	first	first	ADJ
cana-691	179	8	page	page	NOUN
cana-691	179	9	's	's	PART
cana-691	179	10	unnumbered	unnumbered	ADJ
cana-691	179	11	footnote	footnote	NOUN
cana-691	179	12	.	.	PUNCT
cana-691	180	1	references	reference	NOUN
cana-691	180	2	[	[	X
cana-691	180	3	1	1	NUM
cana-691	180	4	]	]	PUNCT
cana-691	180	5	aburomman	aburomman	NOUN
cana-691	180	6	,	,	PUNCT
cana-691	180	7	a.	a.	NOUN
cana-691	180	8	a.	a.	PROPN
cana-691	180	9	,	,	PUNCT
cana-691	180	10	&	&	CCONJ
cana-691	180	11	reaz	reaz	PROPN
cana-691	180	12	,	,	PUNCT
cana-691	180	13	m.	m.	PROPN
cana-691	180	14	b.	b.	PROPN
cana-691	180	15	i.	i.	PROPN
cana-691	180	16	(	(	PUNCT
cana-691	180	17	2016	2016	NUM
cana-691	180	18	)	)	PUNCT
cana-691	180	19	“	"	PUNCT
cana-691	180	20	ensemble	ensemble	ADJ
cana-691	180	21	of	of	ADP
cana-691	180	22	binary	binary	ADJ
cana-691	180	23	svm	svm	PROPN
cana-691	180	24	classifiers	classifier	NOUN
cana-691	180	25	based	base	VERB
cana-691	180	26	on	on	ADP
cana-691	180	27	pca	pca	PROPN
cana-691	180	28	and	and	CCONJ
cana-691	180	29	lda	lda	VERB
cana-691	180	30	feature	feature	NOUN
cana-691	180	31	extraction	extraction	NOUN
cana-691	180	32	for	for	ADP
cana-691	180	33	intrusion	intrusion	NOUN
cana-691	180	34	detection	detection	NOUN
cana-691	180	35	.	.	PUNCT
cana-691	181	1	”advanced	”advance	VERB
cana-691	181	2	information	information	NOUN
cana-691	181	3	management	management	NOUN
cana-691	181	4	,	,	PUNCT
cana-691	181	5	communicates	communicate	VERB
cana-691	181	6	,	,	PUNCT
cana-691	181	7	electronic	electronic	ADJ
cana-691	181	8	and	and	CCONJ
cana-691	181	9	automation	automation	NOUN
cana-691	181	10	control	control	NOUN
cana-691	181	11	conference	conference	PROPN
cana-691	181	12	(	(	PUNCT
cana-691	181	13	imcec	imcec	PROPN
cana-691	181	14	):	):	PUNCT
cana-691	181	15	636	636	NUM
cana-691	181	16	-	-	SYM
cana-691	181	17	640	640	NUM
cana-691	181	18	.	.	PUNCT
cana-691	182	1	[	[	X
cana-691	182	2	2	2	NUM
cana-691	182	3	]	]	X
cana-691	182	4	al	al	PROPN
cana-691	182	5	-	-	PUNCT
cana-691	182	6	jarrah	jarrah	PROPN
cana-691	182	7	,	,	PUNCT
cana-691	182	8	o.	o.	PROPN
cana-691	182	9	y.	y.	PROPN
cana-691	182	10	,	,	PUNCT
cana-691	182	11	al	al	PROPN
cana-691	182	12	-	-	PUNCT
cana-691	182	13	hammdi	hammdi	NOUN
cana-691	182	14	,	,	PUNCT
cana-691	182	15	y.	y.	PROPN
cana-691	182	16	,	,	PUNCT
cana-691	182	17	yoo	yoo	PROPN
cana-691	182	18	,	,	PUNCT
cana-691	182	19	p.	p.	PROPN
cana-691	182	20	d.	d.	PROPN
cana-691	182	21	,	,	PUNCT
cana-691	182	22	muhaidat	muhaidat	PROPN
cana-691	182	23	,	,	PUNCT
cana-691	182	24	s.	s.	PROPN
cana-691	182	25	,	,	PUNCT
cana-691	182	26	&	&	CCONJ
cana-691	182	27	al	al	PROPN
cana-691	182	28	-	-	PUNCT
cana-691	182	29	qutayri	qutayri	PROPN
cana-691	182	30	,	,	PUNCT
cana-691	182	31	m.	m.	NOUN
cana-691	182	32	(	(	PUNCT
cana-691	182	33	2018	2018	NUM
cana-691	182	34	)	)	PUNCT
cana-691	182	35	“	"	PUNCT
cana-691	182	36	semi	semi	ADJ
cana-691	182	37	-	-	ADJ
cana-691	182	38	supervised	supervised	ADJ
cana-691	182	39	multilayered	multilayered	ADJ
cana-691	182	40	clustering	clustering	NOUN
cana-691	182	41	model	model	NOUN
cana-691	182	42	for	for	ADP
cana-691	182	43	intrusion	intrusion	NOUN
cana-691	182	44	detection	detection	NOUN
cana-691	182	45	.	.	PUNCT
cana-691	182	46	”	"	PUNCT
cana-691	183	1	digital	digital	ADJ
cana-691	183	2	communications	communication	NOUN
cana-691	183	3	and	and	CCONJ
cana-691	183	4	networks	network	NOUN
cana-691	183	5	4(4	4(4	NOUN
cana-691	183	6	):	):	PUNCT
cana-691	183	7	277	277	NUM
cana-691	183	8	-	-	SYM
cana-691	183	9	286	286	NUM
cana-691	183	10	.	.	PUNCT
cana-691	184	1	communications	communication	NOUN
cana-691	184	2	on	on	ADP
cana-691	184	3	applied	apply	VERB
cana-691	184	4	nonlinear	nonlinear	ADJ
cana-691	184	5	analysis	analysis	NOUN
cana-691	184	6	issn	issn	NOUN
cana-691	184	7	:	:	PUNCT
cana-691	184	8	1074	1074	NUM
cana-691	184	9	-	-	PUNCT
cana-691	184	10	133x	133x	NUM
cana-691	184	11	vol	vol	NOUN
cana-691	184	12	31	31	NUM
cana-691	184	13	no	no	NOUN
cana-691	184	14	.	.	PUNCT
cana-691	185	1	2s	2s	NUM
cana-691	185	2	(	(	PUNCT
cana-691	185	3	2024	2024	NUM
cana-691	185	4	)	)	PUNCT
cana-691	185	5	655	655	NUM
cana-691	185	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-691	186	1	[	[	X
cana-691	186	2	3	3	NUM
cana-691	186	3	]	]	X
cana-691	186	4	al	al	PROPN
cana-691	186	5	-	-	PUNCT
cana-691	186	6	yaseen	yaseen	PROPN
cana-691	186	7	,	,	PUNCT
cana-691	186	8	w.	w.	PROPN
cana-691	186	9	l.	l.	PROPN
cana-691	186	10	,	,	PUNCT
cana-691	186	11	othman	othman	PROPN
cana-691	186	12	,	,	PUNCT
cana-691	186	13	z.	z.	PROPN
cana-691	186	14	a.	a.	PROPN
cana-691	186	15	,	,	PUNCT
cana-691	186	16	&	&	CCONJ
cana-691	186	17	nazri	nazri	PROPN
cana-691	186	18	,	,	PUNCT
cana-691	186	19	m.	m.	NOUN
cana-691	186	20	z.	z.	PROPN
cana-691	186	21	a.	a.	PROPN
cana-691	186	22	(	(	PUNCT
cana-691	186	23	2017	2017	NUM
cana-691	186	24	)	)	PUNCT
cana-691	186	25	“	"	PUNCT
cana-691	186	26	multi	multi	ADJ
cana-691	186	27	-	-	ADJ
cana-691	186	28	level	level	ADJ
cana-691	186	29	hybrid	hybrid	ADJ
cana-691	186	30	support	support	NOUN
cana-691	186	31	vector	vector	NOUN
cana-691	186	32	machine	machine	NOUN
cana-691	186	33	and	and	CCONJ
cana-691	186	34	extreme	extreme	ADJ
cana-691	186	35	learning	learning	NOUN
cana-691	186	36	machine	machine	NOUN
cana-691	186	37	based	base	VERB
cana-691	186	38	on	on	ADP
cana-691	186	39	modified	modified	ADJ
cana-691	186	40	k	k	NOUN
cana-691	186	41	-	-	PUNCT
cana-691	186	42	means	means	NOUN
cana-691	186	43	for	for	ADP
cana-691	186	44	intrusion	intrusion	NOUN
cana-691	186	45	detection	detection	NOUN
cana-691	186	46	system	system	NOUN
cana-691	186	47	.	.	PUNCT
cana-691	186	48	”	"	PUNCT
cana-691	187	1	expert	expert	NOUN
cana-691	187	2	systems	system	NOUN
cana-691	187	3	with	with	ADP
cana-691	187	4	applications	application	NOUN
cana-691	187	5	67(1	67(1	NUM
cana-691	187	6	):	):	PUNCT
cana-691	187	7	296	296	NUM
cana-691	187	8	-	-	SYM
cana-691	187	9	303	303	NUM
cana-691	187	10	.	.	PUNCT
cana-691	188	1	[	[	X
cana-691	188	2	4	4	X
cana-691	188	3	]	]	X
cana-691	188	4	an	an	X
cana-691	188	5	,	,	PUNCT
cana-691	188	6	x.	x.	PROPN
cana-691	188	7	,	,	PUNCT
cana-691	188	8	su	su	PROPN
cana-691	188	9	,	,	PUNCT
cana-691	188	10	j.	j.	PROPN
cana-691	188	11	,	,	PUNCT
cana-691	188	12	lü	lü	PROPN
cana-691	188	13	,	,	PUNCT
cana-691	188	14	x.	x.	PROPN
cana-691	188	15	,	,	PUNCT
cana-691	188	16	&	&	CCONJ
cana-691	188	17	lin	lin	PROPN
cana-691	188	18	,	,	PUNCT
cana-691	188	19	f.	f.	PROPN
cana-691	188	20	(	(	PUNCT
cana-691	188	21	2018	2018	NUM
cana-691	188	22	)	)	PUNCT
cana-691	188	23	“	"	PUNCT
cana-691	188	24	hypergraph	hypergraph	VERB
cana-691	188	25	clustering	clustering	ADJ
cana-691	188	26	model	model	NOUN
cana-691	188	27	-	-	PUNCT
cana-691	188	28	based	base	VERB
cana-691	188	29	association	association	NOUN
cana-691	188	30	analysis	analysis	NOUN
cana-691	188	31	of	of	ADP
cana-691	188	32	ddos	ddos	NOUN
cana-691	188	33	attacks	attack	NOUN
cana-691	188	34	in	in	ADP
cana-691	188	35	fog	fog	PROPN
cana-691	188	36	computing	computing	PROPN
cana-691	188	37	intrusion	intrusion	NOUN
cana-691	188	38	detection	detection	NOUN
cana-691	188	39	system	system	NOUN
cana-691	188	40	.	.	PUNCT
cana-691	188	41	”	"	PUNCT
cana-691	189	1	eurasip	eurasip	PROPN
cana-691	189	2	journal	journal	PROPN
cana-691	189	3	on	on	ADP
cana-691	189	4	wireless	wireless	ADJ
cana-691	189	5	communications	communication	NOUN
cana-691	189	6	and	and	CCONJ
cana-691	189	7	networking	network	VERB
cana-691	189	8	249	249	NUM
cana-691	189	9	(	(	PUNCT
cana-691	189	10	1	1	NUM
cana-691	189	11	):	):	PUNCT
cana-691	189	12	1	1	NUM
cana-691	189	13	-	-	SYM
cana-691	189	14	9	9	NUM
cana-691	189	15	.	.	PUNCT
cana-691	190	1	[	[	X
cana-691	190	2	5	5	NUM
cana-691	190	3	]	]	X
cana-691	190	4	belavagi	belavagi	ADJ
cana-691	190	5	,	,	PUNCT
cana-691	190	6	m.	m.	NOUN
cana-691	190	7	c.	c.	PROPN
cana-691	190	8	,	,	PUNCT
cana-691	190	9	&	&	CCONJ
cana-691	190	10	muniyal	muniyal	PROPN
cana-691	190	11	,	,	PUNCT
cana-691	190	12	b.	b.	PROPN
cana-691	190	13	(	(	PUNCT
cana-691	190	14	2016	2016	NUM
cana-691	190	15	)	)	PUNCT
cana-691	190	16	“	"	PUNCT
cana-691	190	17	performance	performance	NOUN
cana-691	190	18	evaluation	evaluation	NOUN
cana-691	190	19	of	of	ADP
cana-691	190	20	supervised	supervised	ADJ
cana-691	190	21	machine	machine	NOUN
cana-691	190	22	learning	learn	VERB
cana-691	190	23	algorithms	algorithm	NOUN
cana-691	190	24	for	for	ADP
cana-691	190	25	intrusion	intrusion	NOUN
cana-691	190	26	detection	detection	NOUN
cana-691	190	27	.	.	PUNCT
cana-691	190	28	”	"	PUNCT
cana-691	191	1	procedia	procedia	PROPN
cana-691	191	2	computer	computer	NOUN
cana-691	191	3	science	science	NOUN
cana-691	191	4	89(1	89(1	NUM
cana-691	191	5	):	):	PUNCT
cana-691	191	6	117	117	NUM
cana-691	191	7	-	-	SYM
cana-691	191	8	123	123	NUM
cana-691	191	9	.	.	PUNCT
cana-691	192	1	[	[	X
cana-691	192	2	6	6	NUM
cana-691	192	3	]	]	PUNCT
cana-691	192	4	elrawy	elrawy	NOUN
cana-691	192	5	,	,	PUNCT
cana-691	192	6	m.	m.	PROPN
cana-691	192	7	f.	f.	PROPN
cana-691	192	8	,	,	PUNCT
cana-691	192	9	awad	awad	PROPN
cana-691	192	10	,	,	PUNCT
cana-691	192	11	a.	a.	NOUN
cana-691	192	12	i.	i.	PROPN
cana-691	192	13	,	,	PUNCT
cana-691	192	14	&	&	CCONJ
cana-691	192	15	hamed	hamed	PROPN
cana-691	192	16	,	,	PUNCT
cana-691	192	17	h.	h.	PROPN
cana-691	192	18	f.	f.	PROPN
cana-691	192	19	(	(	PUNCT
cana-691	192	20	2018	2018	NUM
cana-691	192	21	)	)	PUNCT
cana-691	192	22	“	"	PUNCT
cana-691	192	23	intrusion	intrusion	NOUN
cana-691	192	24	detection	detection	NOUN
cana-691	192	25	systems	system	NOUN
cana-691	192	26	for	for	ADP
cana-691	192	27	iot	iot	NOUN
cana-691	192	28	-	-	PUNCT
cana-691	192	29	based	base	VERB
cana-691	192	30	smart	smart	ADJ
cana-691	192	31	environments	environment	NOUN
cana-691	192	32	:	:	PUNCT
cana-691	192	33	a	a	DET
cana-691	192	34	survey	survey	NOUN
cana-691	192	35	.	.	PUNCT
cana-691	192	36	”	"	PUNCT
cana-691	193	1	journal	journal	NOUN
cana-691	193	2	of	of	ADP
cana-691	193	3	cloud	cloud	NOUN
cana-691	193	4	computing	compute	VERB
cana-691	193	5	7	7	NUM
cana-691	193	6	(	(	PUNCT
cana-691	193	7	1	1	NUM
cana-691	193	8	):	):	PUNCT
cana-691	193	9	21	21	NUM
cana-691	193	10	[	[	X
cana-691	193	11	7	7	NUM
cana-691	193	12	]	]	SYM
cana-691	193	13	elsaeidy	elsaeidy	NOUN
cana-691	193	14	,	,	PUNCT
cana-691	193	15	a.	a.	NOUN
cana-691	193	16	,	,	PUNCT
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cana-691	193	18	,	,	PUNCT
cana-691	193	19	k.	k.	PROPN
cana-691	193	20	s.	s.	PROPN
cana-691	193	21	,	,	PUNCT
cana-691	193	22	sharma	sharma	PROPN
cana-691	193	23	,	,	PUNCT
cana-691	193	24	d.	d.	PROPN
cana-691	193	25	,	,	PUNCT
cana-691	193	26	&	&	CCONJ
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cana-691	193	28	,	,	PUNCT
cana-691	193	29	a.	a.	NOUN
cana-691	193	30	(	(	PUNCT
cana-691	193	31	2019	2019	NUM
cana-691	193	32	)	)	PUNCT
cana-691	193	33	“	"	PUNCT
cana-691	193	34	intrusion	intrusion	NOUN
cana-691	193	35	detection	detection	NOUN
cana-691	193	36	in	in	ADP
cana-691	193	37	smart	smart	ADJ
cana-691	193	38	cities	city	NOUN
cana-691	193	39	using	use	VERB
cana-691	193	40	restricted	restrict	VERB
cana-691	193	41	boltzmann	boltzmann	PROPN
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cana-691	193	43	.	.	PUNCT
cana-691	193	44	”	"	PUNCT
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cana-691	193	46	of	of	ADP
cana-691	193	47	network	network	NOUN
cana-691	193	48	and	and	CCONJ
cana-691	193	49	computer	computer	NOUN
cana-691	193	50	applications	application	NOUN
cana-691	193	51	135	135	NUM
cana-691	193	52	(	(	PUNCT
cana-691	193	53	1	1	NUM
cana-691	193	54	):	):	PUNCT
cana-691	193	55	76	76	NUM
cana-691	193	56	-	-	SYM
cana-691	193	57	83	83	NUM
cana-691	193	58	.	.	PUNCT
cana-691	194	1	[	[	X
cana-691	194	2	8	8	NUM
cana-691	194	3	]	]	X
cana-691	194	4	ganapathy	ganapathy	PROPN
cana-691	194	5	,	,	PUNCT
cana-691	194	6	s.	s.	PROPN
cana-691	194	7	,	,	PUNCT
cana-691	194	8	kulothungan	kulothungan	PROPN
cana-691	194	9	,	,	PUNCT
cana-691	194	10	k.	k.	PROPN
cana-691	194	11	,	,	PUNCT
cana-691	194	12	muthurajkumar	muthurajkumar	PROPN
cana-691	194	13	,	,	PUNCT
cana-691	194	14	s.	s.	PROPN
cana-691	194	15	,	,	PUNCT
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cana-691	194	17	,	,	PUNCT
cana-691	194	18	m.	m.	NOUN
cana-691	194	19	,	,	PUNCT
cana-691	194	20	yogesh	yogesh	PROPN
cana-691	194	21	,	,	PUNCT
cana-691	194	22	p.	p.	PROPN
cana-691	194	23	,	,	PUNCT
cana-691	194	24	&	&	CCONJ
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cana-691	194	26	,	,	PUNCT
cana-691	194	27	a.	a.	PROPN
cana-691	194	28	(	(	PUNCT
cana-691	194	29	2013	2013	NUM
cana-691	194	30	)	)	PUNCT
cana-691	194	31	“	"	PUNCT
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cana-691	194	33	feature	feature	NOUN
cana-691	194	34	selection	selection	NOUN
cana-691	194	35	and	and	CCONJ
cana-691	194	36	classification	classification	NOUN
cana-691	194	37	techniques	technique	NOUN
cana-691	194	38	for	for	ADP
cana-691	194	39	intrusion	intrusion	NOUN
cana-691	194	40	detection	detection	NOUN
cana-691	194	41	in	in	ADP
cana-691	194	42	networks	network	NOUN
cana-691	194	43	:	:	PUNCT
cana-691	194	44	a	a	DET
cana-691	194	45	survey	survey	NOUN
cana-691	194	46	.	.	PUNCT
cana-691	194	47	”	"	PUNCT
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cana-691	194	49	journal	journal	PROPN
cana-691	194	50	on	on	ADP
cana-691	194	51	wireless	wireless	ADJ
cana-691	194	52	communications	communication	NOUN
cana-691	194	53	and	and	CCONJ
cana-691	194	54	networking	network	VERB
cana-691	194	55	(	(	PUNCT
cana-691	194	56	1	1	NUM
cana-691	194	57	):	):	PUNCT
cana-691	194	58	271	271	NUM
cana-691	194	59	.	.	PUNCT
cana-691	195	1	[	[	X
cana-691	195	2	9	9	NUM
cana-691	195	3	]	]	X
cana-691	195	4	gautam	gautam	PROPN
cana-691	195	5	,	,	PUNCT
cana-691	195	6	r.	r.	PROPN
cana-691	195	7	k.	k.	PROPN
cana-691	195	8	s.	s.	PROPN
cana-691	195	9	,	,	PUNCT
cana-691	195	10	&	&	CCONJ
cana-691	195	11	doegar	doegar	NOUN
cana-691	195	12	,	,	PUNCT
cana-691	195	13	e.	e.	PROPN
cana-691	195	14	a.	a.	PROPN
cana-691	195	15	(	(	PUNCT
cana-691	195	16	2018	2018	NUM
cana-691	195	17	)	)	PUNCT
cana-691	195	18	“	"	PUNCT
cana-691	195	19	an	an	DET
cana-691	195	20	ensemble	ensemble	ADJ
cana-691	195	21	approach	approach	NOUN
cana-691	195	22	for	for	ADP
cana-691	195	23	intrusion	intrusion	NOUN
cana-691	195	24	detection	detection	NOUN
cana-691	195	25	system	system	NOUN
cana-691	195	26	using	use	VERB
cana-691	195	27	machine	machine	NOUN
cana-691	195	28	learning	learning	NOUN
cana-691	195	29	algorithms	algorithm	NOUN
cana-691	195	30	.	.	PUNCT
cana-691	195	31	”	"	PUNCT
cana-691	195	32	international	international	ADJ
cana-691	195	33	conference	conference	NOUN
cana-691	195	34	on	on	ADP
cana-691	195	35	cloud	cloud	NOUN
cana-691	195	36	computing	computing	NOUN
cana-691	195	37	,	,	PUNCT
cana-691	195	38	data	data	NOUN
cana-691	195	39	science	science	PROPN
cana-691	195	40	&	&	CCONJ
cana-691	195	41	engineering	engineering	PROPN
cana-691	195	42	(	(	PUNCT
cana-691	195	43	confluence	confluence	NOUN
cana-691	195	44	):	):	PUNCT
cana-691	195	45	14	14	NUM
cana-691	195	46	-	-	SYM
cana-691	195	47	15	15	NUM
cana-691	195	48	.	.	PUNCT
cana-691	196	1	[	[	X
cana-691	196	2	10	10	NUM
cana-691	196	3	]	]	X
cana-691	196	4	ghasempour	ghasempour	NOUN
cana-691	196	5	,	,	PUNCT
cana-691	196	6	a.	a.	NOUN
cana-691	196	7	(	(	PUNCT
cana-691	196	8	2019	2019	NUM
cana-691	196	9	)	)	PUNCT
cana-691	196	10	.	.	PUNCT
cana-691	197	1	internet	internet	NOUN
cana-691	197	2	of	of	ADP
cana-691	197	3	things	thing	NOUN
cana-691	197	4	in	in	ADP
cana-691	197	5	smart	smart	ADJ
cana-691	197	6	grid	grid	NOUN
cana-691	197	7	:	:	PUNCT
cana-691	197	8	architecture	architecture	NOUN
cana-691	197	9	,	,	PUNCT
cana-691	197	10	applications	application	NOUN
cana-691	197	11	,	,	PUNCT
cana-691	197	12	services	service	NOUN
cana-691	197	13	,	,	PUNCT
cana-691	197	14	key	key	ADJ
cana-691	197	15	technologies	technology	NOUN
cana-691	197	16	,	,	PUNCT
cana-691	197	17	and	and	CCONJ
cana-691	197	18	challenges	challenge	NOUN
cana-691	197	19	.	.	PUNCT
cana-691	198	1	inventions	invention	NOUN
cana-691	198	2	4(1	4(1	NOUN
cana-691	198	3	):	):	PUNCT
cana-691	198	4	22	22	NUM
cana-691	198	5	.	.	PUNCT