id	sid	tid	token	lemma	pos
bitcs-886	1	1	paper	paper	NOUN
bitcs-886	1	2	title	title	NOUN
bitcs-886	1	3	(	(	PUNCT
bitcs-886	1	4	use	use	NOUN
bitcs-886	1	5	style	style	NOUN
bitcs-886	1	6	:	:	PUNCT
bitcs-886	1	7	paper	paper	NOUN
bitcs-886	1	8	title	title	NOUN
bitcs-886	1	9	)	)	PUNCT
bitcs-886	1	10	p	p	X
bitcs-886	1	11	-	-	PUNCT
bitcs-886	1	12	issn	issn	PROPN
bitcs-886	1	13	:	:	PUNCT
bitcs-886	1	14	2715	2715	NUM
bitcs-886	1	15	-	-	SYM
bitcs-886	1	16	2448	2448	NUM
bitcs-886	1	17	|	|	NOUN
bitcs-886	1	18	e	e	NOUN
bitcs-886	1	19	-	-	NOUN
bitcs-886	1	20	issn	issn	X
bitcs-886	1	21	:	:	PUNCT
bitcs-886	1	22	2715	2715	NUM
bitcs-886	1	23	-	-	SYM
bitcs-886	1	24	7199	7199	NUM
bitcs-886	1	25	vol.1	vol.1	PROPN
bitcs-886	1	26	no.2	no.2	PROPN
bitcs-886	1	27	,	,	PUNCT
bitcs-886	1	28	10	10	NUM
bitcs-886	1	29	july	july	PROPN
bitcs-886	1	30	2020	2020	NUM
bitcs-886	1	31	buana	buana	PROPN
bitcs-886	1	32	information	information	PROPN
bitcs-886	1	33	tchnology	tchnology	PROPN
bitcs-886	1	34	and	and	CCONJ
bitcs-886	1	35	computer	computer	NOUN
bitcs-886	1	36	sciences	science	NOUN
bitcs-886	1	37	(	(	PUNCT
bitcs-886	1	38	bit	bit	NOUN
bitcs-886	1	39	and	and	CCONJ
bitcs-886	1	40	cs	cs	ADJ
bitcs-886	1	41	)	)	PUNCT
bitcs-886	1	42	27	27	NUM
bitcs-886	1	43	|	|	ADV
bitcs-886	1	44	vol.1	vol.1	PROPN
bitcs-886	1	45	no.2	no.2	PROPN
bitcs-886	1	46	,	,	PUNCT
bitcs-886	1	47	10	10	NUM
bitcs-886	1	48	july	july	PROPN
bitcs-886	1	49	2020	2020	NUM
bitcs-886	1	50	buana	buana	PROPN
bitcs-886	1	51	information	information	PROPN
bitcs-886	1	52	tchnology	tchnology	PROPN
bitcs-886	1	53	and	and	CCONJ
bitcs-886	1	54	computer	computer	NOUN
bitcs-886	1	55	sciences	science	NOUN
bitcs-886	1	56	(	(	PUNCT
bitcs-886	1	57	bit	bit	NOUN
bitcs-886	1	58	and	and	CCONJ
bitcs-886	1	59	cs	cs	ADJ
bitcs-886	1	60	)	)	PUNCT
bitcs-886	1	61	implementation	implementation	NOUN
bitcs-886	1	62	of	of	ADP
bitcs-886	1	63	k	k	X
bitcs-886	1	64	-	-	PUNCT
bitcs-886	1	65	nearest	near	ADJ
bitcs-886	1	66	neighbor	neighbor	NOUN
bitcs-886	1	67	algorithm	algorithm	NOUN
bitcs-886	1	68	for	for	ADP
bitcs-886	1	69	customer	customer	NOUN
bitcs-886	1	70	satisfaction	satisfaction	NOUN
bitcs-886	1	71	sutan	sutan	PROPN
bitcs-886	1	72	faisal	faisal	NOUN
bitcs-886	1	73	1	1	NUM
bitcs-886	1	74	study	study	NOUN
bitcs-886	1	75	program	program	NOUN
bitcs-886	1	76	technical	technical	ADJ
bitcs-886	1	77	information	information	NOUN
bitcs-886	1	78	faculty	faculty	NOUN
bitcs-886	1	79	of	of	ADP
bitcs-886	1	80	engineering	engineering	NOUN
bitcs-886	1	81	computer	computer	NOUN
bitcs-886	1	82	science	science	NOUN
bitcs-886	1	83	,	,	PUNCT
bitcs-886	1	84	university	university	NOUN
bitcs-886	1	85	buana	buana	PROPN
bitcs-886	1	86	perjuangan	perjuangan	PROPN
bitcs-886	1	87	karawang	karawang	PROPN
bitcs-886	1	88	sutan.faisal@ubpkarawang.ac.id	sutan.faisal@ubpkarawang.ac.id	PUNCT
bitcs-886	1	89	‹β›	‹β›	PROPN
bitcs-886	1	90	nurhayati	nurhayati	PROPN
bitcs-886	1	91	2	2	NUM
bitcs-886	1	92	study	study	NOUN
bitcs-886	1	93	program	program	NOUN
bitcs-886	1	94	technical	technical	ADJ
bitcs-886	1	95	information	information	NOUN
bitcs-886	1	96	faculty	faculty	NOUN
bitcs-886	1	97	of	of	ADP
bitcs-886	1	98	engineering	engineering	NOUN
bitcs-886	1	99	computer	computer	NOUN
bitcs-886	1	100	science	science	NOUN
bitcs-886	1	101	,	,	PUNCT
bitcs-886	1	102	university	university	NOUN
bitcs-886	1	103	buana	buana	PROPN
bitcs-886	1	104	perjuangan	perjuangan	PROPN
bitcs-886	1	105	karawang	karawang	PROPN
bitcs-886	1	106	nurhayati@ubpkarawang.ac.id	nurhayati@ubpkarawang.ac.id	ADJ
bitcs-886	1	107	abstract	abstract	ADJ
bitcs-886	1	108	—	—	PUNCT
bitcs-886	1	109	customer	customer	NOUN
bitcs-886	1	110	satisfaction	satisfaction	NOUN
bitcs-886	1	111	is	be	AUX
bitcs-886	1	112	the	the	DET
bitcs-886	1	113	company	company	NOUN
bitcs-886	1	114	's	's	PART
bitcs-886	1	115	goal	goal	NOUN
bitcs-886	1	116	in	in	ADP
bitcs-886	1	117	providing	provide	VERB
bitcs-886	1	118	services	service	NOUN
bitcs-886	1	119	to	to	ADP
bitcs-886	1	120	its	its	PRON
bitcs-886	1	121	customers	customer	NOUN
bitcs-886	1	122	.	.	PUNCT
bitcs-886	2	1	sewa	sewa	PROPN
bitcs-886	2	2	camera	camera	PROPN
bitcs-886	2	3	cikarang	cikarang	PROPN
bitcs-886	2	4	is	be	AUX
bitcs-886	2	5	committed	commit	VERB
bitcs-886	2	6	to	to	ADP
bitcs-886	2	7	customer	customer	NOUN
bitcs-886	2	8	satisfaction	satisfaction	NOUN
bitcs-886	2	9	.	.	PUNCT
bitcs-886	3	1	by	by	ADP
bitcs-886	3	2	using	use	VERB
bitcs-886	3	3	the	the	DET
bitcs-886	3	4	k	k	PROPN
bitcs-886	3	5	nearest	near	ADJ
bitcs-886	3	6	neighbor	neighbor	NOUN
bitcs-886	3	7	(	(	PUNCT
bitcs-886	3	8	knn	knn	PROPN
bitcs-886	3	9	)	)	PUNCT
bitcs-886	3	10	algorithm	algorithm	NOUN
bitcs-886	3	11	of	of	ADP
bitcs-886	3	12	this	this	DET
bitcs-886	3	13	study	study	NOUN
bitcs-886	3	14	to	to	PART
bitcs-886	3	15	analyze	analyze	VERB
bitcs-886	3	16	customer	customer	NOUN
bitcs-886	3	17	satisfaction	satisfaction	NOUN
bitcs-886	3	18	of	of	ADP
bitcs-886	3	19	camera	camera	NOUN
bitcs-886	3	20	tenants	tenant	NOUN
bitcs-886	3	21	.	.	PUNCT
bitcs-886	4	1	in	in	ADP
bitcs-886	4	2	this	this	DET
bitcs-886	4	3	study	study	NOUN
bitcs-886	4	4	price	price	NOUN
bitcs-886	4	5	,	,	PUNCT
bitcs-886	4	6	facilities	facility	NOUN
bitcs-886	4	7	,	,	PUNCT
bitcs-886	4	8	services	service	NOUN
bitcs-886	4	9	and	and	CCONJ
bitcs-886	4	10	loyalty	loyalty	NOUN
bitcs-886	4	11	are	be	AUX
bitcs-886	4	12	input	input	ADJ
bitcs-886	4	13	attributes	attribute	NOUN
bitcs-886	4	14	of	of	ADP
bitcs-886	4	15	customer	customer	NOUN
bitcs-886	4	16	satisfaction	satisfaction	NOUN
bitcs-886	4	17	.	.	PUNCT
bitcs-886	5	1	satisfied	satisfied	ADJ
bitcs-886	5	2	and	and	CCONJ
bitcs-886	5	3	dissatisfied	dissatisfied	ADJ
bitcs-886	5	4	is	be	AUX
bitcs-886	5	5	the	the	DET
bitcs-886	5	6	result	result	NOUN
bitcs-886	5	7	of	of	ADP
bitcs-886	5	8	the	the	DET
bitcs-886	5	9	output	output	NOUN
bitcs-886	5	10	.	.	PUNCT
bitcs-886	6	1	increasing	increase	VERB
bitcs-886	6	2	customer	customer	NOUN
bitcs-886	6	3	satisfaction	satisfaction	NOUN
bitcs-886	6	4	and	and	CCONJ
bitcs-886	6	5	increasing	increase	VERB
bitcs-886	6	6	profits	profit	NOUN
bitcs-886	6	7	on	on	ADP
bitcs-886	6	8	cikarang	cikarang	PROPN
bitcs-886	6	9	camera	camera	NOUN
bitcs-886	6	10	rentals	rental	NOUN
bitcs-886	6	11	is	be	AUX
bitcs-886	6	12	the	the	DET
bitcs-886	6	13	aim	aim	NOUN
bitcs-886	6	14	of	of	ADP
bitcs-886	6	15	this	this	DET
bitcs-886	6	16	research	research	NOUN
bitcs-886	6	17	.	.	PUNCT
bitcs-886	7	1	this	this	DET
bitcs-886	7	2	study	study	NOUN
bitcs-886	7	3	using	use	VERB
bitcs-886	7	4	the	the	DET
bitcs-886	7	5	knn	knn	PROPN
bitcs-886	7	6	algorithm	algorithm	PROPN
bitcs-886	7	7	obtained	obtain	VERB
bitcs-886	7	8	accuracy	accuracy	NOUN
bitcs-886	7	9	=	=	SYM
bitcs-886	7	10	98	98	NUM
bitcs-886	7	11	%	%	NOUN
bitcs-886	7	12	,	,	PUNCT
bitcs-886	7	13	recall	recall	VERB
bitcs-886	7	14	classification	classification	NOUN
bitcs-886	7	15	=	=	NOUN
bitcs-886	7	16	86.67	86.67	NUM
bitcs-886	7	17	%	%	NOUN
bitcs-886	7	18	,	,	PUNCT
bitcs-886	7	19	classification	classification	NOUN
bitcs-886	7	20	accuracy	accuracy	NOUN
bitcs-886	7	21	=	=	SYM
bitcs-886	7	22	100	100	NUM
bitcs-886	7	23	%	%	NOUN
bitcs-886	7	24	and	and	CCONJ
bitcs-886	7	25	auc	auc	NOUN
bitcs-886	7	26	=	=	NOUN
bitcs-886	7	27	0.750	0.750	NUM
bitcs-886	7	28	.	.	PUNCT
bitcs-886	8	1	it	it	PRON
bitcs-886	8	2	is	be	AUX
bitcs-886	8	3	expected	expect	VERB
bitcs-886	8	4	that	that	SCONJ
bitcs-886	8	5	the	the	DET
bitcs-886	8	6	results	result	NOUN
bitcs-886	8	7	of	of	ADP
bitcs-886	8	8	this	this	DET
bitcs-886	8	9	study	study	NOUN
bitcs-886	8	10	can	can	AUX
bitcs-886	8	11	be	be	AUX
bitcs-886	8	12	used	use	VERB
bitcs-886	8	13	as	as	ADP
bitcs-886	8	14	a	a	DET
bitcs-886	8	15	reference	reference	NOUN
bitcs-886	8	16	for	for	ADP
bitcs-886	8	17	building	building	NOUN
bitcs-886	8	18	applications	application	NOUN
bitcs-886	8	19	that	that	PRON
bitcs-886	8	20	can	can	AUX
bitcs-886	8	21	facilitate	facilitate	VERB
bitcs-886	8	22	companies	company	NOUN
bitcs-886	8	23	in	in	ADP
bitcs-886	8	24	obtaining	obtain	VERB
bitcs-886	8	25	information	information	NOUN
bitcs-886	8	26	about	about	ADP
bitcs-886	8	27	customer	customer	NOUN
bitcs-886	8	28	satisfaction	satisfaction	NOUN
bitcs-886	8	29	.	.	PUNCT
bitcs-886	9	1	keywords	keyword	NOUN
bitcs-886	9	2	—	—	PUNCT
bitcs-886	9	3	datamining	datamine	VERB
bitcs-886	9	4	,	,	PUNCT
bitcs-886	9	5	classification	classification	NOUN
bitcs-886	9	6	,	,	PUNCT
bitcs-886	9	7	knn	knn	PROPN
bitcs-886	9	8	algorithm	algorithm	PROPN
bitcs-886	9	9	,	,	PUNCT
bitcs-886	9	10	customer	customer	NOUN
bitcs-886	9	11	satisfaction	satisfaction	NOUN
bitcs-886	9	12	.	.	PUNCT
bitcs-886	10	1	abstrak	abstrak	PROPN
bitcs-886	10	2	—	—	PUNCT
bitcs-886	10	3	customer	customer	NOUN
bitcs-886	10	4	kepuasan	kepuasan	PROPN
bitcs-886	10	5	pelanggan	pelanggan	PROPN
bitcs-886	10	6	merupakan	merupakan	PROPN
bitcs-886	10	7	tujuan	tujuan	PROPN
bitcs-886	10	8	perusahaan	perusahaan	PROPN
bitcs-886	10	9	dalam	dalam	PROPN
bitcs-886	10	10	memberikan	memberikan	PROPN
bitcs-886	10	11	layanan	layanan	PROPN
bitcs-886	10	12	kepada	kepada	PROPN
bitcs-886	10	13	pelanggannya	pelanggannya	PROPN
bitcs-886	10	14	.	.	PUNCT
bitcs-886	11	1	sewa	sewa	PROPN
bitcs-886	11	2	kamera	kamera	PROPN
bitcs-886	11	3	cikarang	cikarang	PROPN
bitcs-886	11	4	berkomitmen	berkomitmen	PROPN
bitcs-886	11	5	untuk	untuk	PROPN
bitcs-886	11	6	kepuasan	kepuasan	PROPN
bitcs-886	11	7	pelanggan	pelanggan	PROPN
bitcs-886	11	8	.	.	PUNCT
bitcs-886	12	1	dengan	dengan	PROPN
bitcs-886	12	2	menggunakan	menggunakan	PROPN
bitcs-886	12	3	algoritma	algoritma	PROPN
bitcs-886	13	1	k	k	ADJ
bitcs-886	13	2	-	-	PUNCT
bitcs-886	13	3	nearest	near	ADJ
bitcs-886	13	4	neighbor	neighbor	NOUN
bitcs-886	13	5	(	(	PUNCT
bitcs-886	13	6	knn	knn	PROPN
bitcs-886	13	7	)	)	PUNCT
bitcs-886	13	8	penelitian	penelitian	PROPN
bitcs-886	13	9	ini	ini	PROPN
bitcs-886	13	10	untuk	untuk	PROPN
bitcs-886	13	11	menganalisa	menganalisa	PROPN
bitcs-886	13	12	kepuasan	kepuasan	PROPN
bitcs-886	13	13	pelanggan	pelanggan	PROPN
bitcs-886	13	14	penyewa	penyewa	PROPN
bitcs-886	13	15	kamera	kamera	PROPN
bitcs-886	13	16	.	.	PUNCT
bitcs-886	14	1	dalam	dalam	PROPN
bitcs-886	14	2	penelitian	penelitian	PROPN
bitcs-886	14	3	ini	ini	PROPN
bitcs-886	14	4	harga	harga	PROPN
bitcs-886	14	5	,	,	PUNCT
bitcs-886	14	6	fasilitas	fasilita	NOUN
bitcs-886	14	7	,	,	PUNCT
bitcs-886	14	8	layanan	layanan	PROPN
bitcs-886	14	9	dan	dan	PROPN
bitcs-886	14	10	loyalitas	loyalitas	PROPN
bitcs-886	14	11	merupakan	merupakan	PROPN
bitcs-886	14	12	atribut	atribut	PROPN
bitcs-886	14	13	masukan	masukan	PROPN
bitcs-886	14	14	kepuasan	kepuasan	PROPN
bitcs-886	14	15	pelanngan	pelanngan	VERB
bitcs-886	14	16	.	.	PUNCT
bitcs-886	15	1	puas	puas	PROPN
bitcs-886	15	2	dan	dan	PROPN
bitcs-886	15	3	tidak	tidak	PROPN
bitcs-886	15	4	puas	puas	PROPN
bitcs-886	15	5	merupakan	merupakan	PROPN
bitcs-886	15	6	hasil	hasil	PROPN
bitcs-886	15	7	outputnya	outputnya	PROPN
bitcs-886	15	8	.	.	PUNCT
bitcs-886	16	1	meningkatkan	meningkatkan	PROPN
bitcs-886	16	2	kepuasan	kepuasan	PROPN
bitcs-886	16	3	pelanggan	pelanggan	PROPN
bitcs-886	16	4	dan	dan	PROPN
bitcs-886	16	5	meningkatkan	meningkatkan	PROPN
bitcs-886	16	6	laba	laba	PROPN
bitcs-886	16	7	pada	pada	PROPN
bitcs-886	16	8	sewa	sewa	PROPN
bitcs-886	16	9	kamera	kamera	PROPN
bitcs-886	16	10	cikarang	cikarang	PROPN
bitcs-886	16	11	adalah	adalah	PROPN
bitcs-886	16	12	tujuan	tujuan	PROPN
bitcs-886	16	13	penelitiian	penelitiian	PROPN
bitcs-886	16	14	ini	ini	PROPN
bitcs-886	16	15	.	.	PROPN
bitcs-886	16	16	penelitian	penelitian	PROPN
bitcs-886	16	17	ini	ini	PROPN
bitcs-886	16	18	dengan	dengan	PROPN
bitcs-886	16	19	menggunakan	menggunakan	PROPN
bitcs-886	16	20	algoritma	algoritma	PROPN
bitcs-886	16	21	knn	knn	PROPN
bitcs-886	16	22	mendapatkan	mendapatkan	PROPN
bitcs-886	16	23	akurasi	akurasi	PROPN
bitcs-886	16	24	=	=	PUNCT
bitcs-886	16	25	98	98	NUM
bitcs-886	16	26	%	%	NOUN
bitcs-886	16	27	,	,	PUNCT
bitcs-886	16	28	klasifikasi	klasifikasi	NOUN
bitcs-886	16	29	recall	recall	NOUN
bitcs-886	16	30	=	=	SYM
bitcs-886	16	31	86,67	86,67	NUM
bitcs-886	16	32	%	%	NOUN
bitcs-886	16	33	,	,	PUNCT
bitcs-886	16	34	ketepatan	ketepatan	ADJ
bitcs-886	16	35	klasifikasi	klasifikasi	NOUN
bitcs-886	16	36	=	=	SYM
bitcs-886	16	37	100	100	NUM
bitcs-886	16	38	%	%	NOUN
bitcs-886	16	39	dan	dan	PROPN
bitcs-886	16	40	auc	auc	PROPN
bitcs-886	16	41	=	=	NOUN
bitcs-886	16	42	0,750	0,750	PROPN
bitcs-886	16	43	.	.	PUNCT
bitcs-886	17	1	diharapkan	diharapkan	PROPN
bitcs-886	17	2	hasil	hasil	PROPN
bitcs-886	17	3	penelitian	penelitian	PROPN
bitcs-886	17	4	ini	ini	PROPN
bitcs-886	17	5	dapat	dapat	PROPN
bitcs-886	17	6	dijadikan	dijadikan	PROPN
bitcs-886	17	7	acuan	acuan	PROPN
bitcs-886	17	8	untuk	untuk	PROPN
bitcs-886	17	9	membangun	membangun	PROPN
bitcs-886	17	10	aplikasi	aplikasi	PROPN
bitcs-886	17	11	yang	yang	PROPN
bitcs-886	17	12	dapat	dapat	PROPN
bitcs-886	17	13	memudahkan	memudahkan	PROPN
bitcs-886	17	14	perusahaan	perusahaan	PROPN
bitcs-886	17	15	dalam	dalam	PROPN
bitcs-886	17	16	memperoleh	memperoleh	PROPN
bitcs-886	17	17	informasi	informasi	PROPN
bitcs-886	17	18	tentang	tentang	PROPN
bitcs-886	17	19	kepuasan	kepuasan	PROPN
bitcs-886	17	20	pelanggan	pelanggan	PROPN
bitcs-886	17	21	.	.	PUNCT
bitcs-886	18	1	kata	kata	PROPN
bitcs-886	18	2	kunci	kunci	PROPN
bitcs-886	18	3	—	—	PUNCT
bitcs-886	18	4	pengumpulan	pengumpulan	PROPN
bitcs-886	18	5	data	data	PROPN
bitcs-886	18	6	,	,	PUNCT
bitcs-886	18	7	klasifikasi	klasifikasi	PROPN
bitcs-886	18	8	,	,	PUNCT
bitcs-886	18	9	algoritma	algoritma	PROPN
bitcs-886	18	10	knn	knn	PROPN
bitcs-886	18	11	,	,	PUNCT
bitcs-886	18	12	kepuasan	kepuasan	PROPN
bitcs-886	18	13	pelanggan	pelanggan	PROPN
bitcs-886	18	14	.	.	PUNCT
bitcs-886	19	1	i.	i.	PROPN
bitcs-886	19	2	introduction	introduction	PROPN
bitcs-886	19	3	a.	a.	NOUN
bitcs-886	19	4	introduction	introduction	NOUN
bitcs-886	19	5	along	along	ADP
bitcs-886	19	6	with	with	ADP
bitcs-886	19	7	the	the	DET
bitcs-886	19	8	high	high	ADJ
bitcs-886	19	9	level	level	NOUN
bitcs-886	19	10	of	of	ADP
bitcs-886	19	11	human	human	ADJ
bitcs-886	19	12	activity	activity	NOUN
bitcs-886	19	13	to	to	PART
bitcs-886	19	14	meet	meet	VERB
bitcs-886	19	15	the	the	DET
bitcs-886	19	16	needs	need	NOUN
bitcs-886	19	17	and	and	CCONJ
bitcs-886	19	18	needs	need	NOUN
bitcs-886	19	19	of	of	ADP
bitcs-886	19	20	daily	daily	ADJ
bitcs-886	19	21	life	life	NOUN
bitcs-886	19	22	,	,	PUNCT
bitcs-886	19	23	humans	human	NOUN
bitcs-886	19	24	need	need	VERB
bitcs-886	19	25	to	to	PART
bitcs-886	19	26	release	release	VERB
bitcs-886	19	27	their	their	PRON
bitcs-886	19	28	fatigue	fatigue	NOUN
bitcs-886	19	29	with	with	ADP
bitcs-886	19	30	a	a	DET
bitcs-886	19	31	vacation	vacation	NOUN
bitcs-886	19	32	.	.	PUNCT
bitcs-886	20	1	then	then	ADV
bitcs-886	20	2	it	it	PRON
bitcs-886	20	3	needs	need	VERB
bitcs-886	20	4	to	to	PART
bitcs-886	20	5	be	be	AUX
bitcs-886	20	6	supported	support	VERB
bitcs-886	20	7	with	with	ADP
bitcs-886	20	8	a	a	DET
bitcs-886	20	9	camera	camera	NOUN
bitcs-886	20	10	to	to	PART
bitcs-886	20	11	capture	capture	VERB
bitcs-886	20	12	the	the	DET
bitcs-886	20	13	moment	moment	NOUN
bitcs-886	20	14	of	of	ADP
bitcs-886	20	15	his	his	PRON
bitcs-886	20	16	vacation	vacation	NOUN
bitcs-886	20	17	.	.	PUNCT
bitcs-886	21	1	but	but	CCONJ
bitcs-886	21	2	not	not	PART
bitcs-886	21	3	everyone	everyone	PRON
bitcs-886	21	4	has	have	VERB
bitcs-886	21	5	a	a	DET
bitcs-886	21	6	camera	camera	NOUN
bitcs-886	21	7	that	that	PRON
bitcs-886	21	8	is	be	AUX
bitcs-886	21	9	good	good	ADJ
bitcs-886	21	10	enough	enough	ADV
bitcs-886	21	11	to	to	PART
bitcs-886	21	12	capture	capture	VERB
bitcs-886	21	13	the	the	DET
bitcs-886	21	14	holidays	holiday	NOUN
bitcs-886	21	15	.	.	PUNCT
bitcs-886	22	1	public	public	ADJ
bitcs-886	22	2	awareness	awareness	NOUN
bitcs-886	22	3	of	of	ADP
bitcs-886	22	4	the	the	DET
bitcs-886	22	5	elements	element	NOUN
bitcs-886	22	6	of	of	ADP
bitcs-886	22	7	service	service	NOUN
bitcs-886	22	8	that	that	PRON
bitcs-886	22	9	can	can	AUX
bitcs-886	22	10	be	be	AUX
bitcs-886	22	11	provided	provide	VERB
bitcs-886	22	12	by	by	ADP
bitcs-886	22	13	companies	company	NOUN
bitcs-886	22	14	is	be	AUX
bitcs-886	22	15	increasing	increase	VERB
bitcs-886	22	16	due	due	ADJ
bitcs-886	22	17	to	to	ADP
bitcs-886	22	18	advances	advance	NOUN
bitcs-886	22	19	in	in	ADP
bitcs-886	22	20	education	education	NOUN
bitcs-886	22	21	and	and	CCONJ
bitcs-886	22	22	a	a	DET
bitcs-886	22	23	more	more	ADV
bitcs-886	22	24	prosperous	prosperous	ADJ
bitcs-886	22	25	economy	economy	NOUN
bitcs-886	22	26	,	,	PUNCT
bitcs-886	22	27	as	as	ADV
bitcs-886	22	28	well	well	ADV
bitcs-886	22	29	as	as	ADP
bitcs-886	22	30	the	the	DET
bitcs-886	22	31	development	development	NOUN
bitcs-886	22	32	of	of	ADP
bitcs-886	22	33	science	science	NOUN
bitcs-886	22	34	and	and	CCONJ
bitcs-886	22	35	technology	technology	NOUN
bitcs-886	22	36	.	.	PUNCT
bitcs-886	23	1	the	the	DET
bitcs-886	23	2	importance	importance	NOUN
bitcs-886	23	3	of	of	ADP
bitcs-886	23	4	service	service	NOUN
bitcs-886	23	5	quality	quality	NOUN
bitcs-886	23	6	provided	provide	VERB
bitcs-886	23	7	by	by	ADP
bitcs-886	23	8	service	service	NOUN
bitcs-886	23	9	companies	company	NOUN
bitcs-886	23	10	and	and	CCONJ
bitcs-886	23	11	in	in	ADP
bitcs-886	23	12	the	the	DET
bitcs-886	23	13	form	form	NOUN
bitcs-886	23	14	of	of	ADP
bitcs-886	23	15	goods	good	NOUN
bitcs-886	23	16	is	be	AUX
bitcs-886	23	17	increasingly	increasingly	ADV
bitcs-886	23	18	being	be	AUX
bitcs-886	23	19	realized	realize	VERB
bitcs-886	23	20	by	by	ADP
bitcs-886	23	21	consumers	consumer	NOUN
bitcs-886	23	22	.	.	PUNCT
bitcs-886	24	1	each	each	DET
bitcs-886	24	2	consumer	consumer	NOUN
bitcs-886	24	3	's	's	PART
bitcs-886	24	4	assessment	assessment	NOUN
bitcs-886	24	5	of	of	ADP
bitcs-886	24	6	the	the	DET
bitcs-886	24	7	quality	quality	NOUN
bitcs-886	24	8	of	of	ADP
bitcs-886	24	9	services	service	NOUN
bitcs-886	24	10	/	/	SYM
bitcs-886	24	11	services	service	NOUN
bitcs-886	24	12	varies	vary	VERB
bitcs-886	24	13	depending	depend	VERB
bitcs-886	24	14	on	on	ADP
bitcs-886	24	15	how	how	SCONJ
bitcs-886	24	16	consumers	consumer	NOUN
bitcs-886	24	17	expect	expect	VERB
bitcs-886	24	18	the	the	DET
bitcs-886	24	19	quality	quality	NOUN
bitcs-886	24	20	of	of	ADP
bitcs-886	24	21	the	the	DET
bitcs-886	24	22	service	service	NOUN
bitcs-886	24	23	/	/	SYM
bitcs-886	24	24	service	service	NOUN
bitcs-886	24	25	based	base	VERB
bitcs-886	24	26	on	on	ADP
bitcs-886	24	27	experience	experience	NOUN
bitcs-886	24	28	[	[	X
bitcs-886	24	29	1	1	NUM
bitcs-886	24	30	]	]	PUNCT
bitcs-886	24	31	.	.	PUNCT
bitcs-886	25	1	achieving	achieve	VERB
bitcs-886	25	2	success	success	NOUN
bitcs-886	25	3	in	in	ADP
bitcs-886	25	4	a	a	DET
bitcs-886	25	5	service	service	NOUN
bitcs-886	25	6	business	business	NOUN
bitcs-886	25	7	,	,	PUNCT
bitcs-886	25	8	customer	customer	NOUN
bitcs-886	25	9	satisfaction	satisfaction	NOUN
bitcs-886	25	10	must	must	AUX
bitcs-886	25	11	be	be	AUX
bitcs-886	25	12	the	the	DET
bitcs-886	25	13	basis	basis	NOUN
bitcs-886	25	14	of	of	ADP
bitcs-886	25	15	management	management	NOUN
bitcs-886	25	16	decisions	decision	NOUN
bitcs-886	25	17	,	,	PUNCT
bitcs-886	25	18	so	so	SCONJ
bitcs-886	25	19	management	management	NOUN
bitcs-886	25	20	must	must	AUX
bitcs-886	25	21	make	make	VERB
bitcs-886	25	22	increasing	increase	VERB
bitcs-886	25	23	customer	customer	NOUN
bitcs-886	25	24	satisfaction	satisfaction	VERB
bitcs-886	25	25	a	a	DET
bitcs-886	25	26	fundamental	fundamental	ADJ
bitcs-886	25	27	goal	goal	NOUN
bitcs-886	25	28	.	.	PUNCT
bitcs-886	26	1	in	in	ADP
bitcs-886	26	2	order	order	NOUN
bitcs-886	26	3	to	to	PART
bitcs-886	26	4	provide	provide	VERB
bitcs-886	26	5	quality	quality	NOUN
bitcs-886	26	6	services	service	NOUN
bitcs-886	26	7	,	,	PUNCT
bitcs-886	26	8	the	the	DET
bitcs-886	26	9	company	company	NOUN
bitcs-886	26	10	must	must	AUX
bitcs-886	26	11	continually	continually	ADV
bitcs-886	26	12	improve	improve	VERB
bitcs-886	26	13	the	the	DET
bitcs-886	26	14	quality	quality	NOUN
bitcs-886	26	15	of	of	ADP
bitcs-886	26	16	its	its	PRON
bitcs-886	26	17	human	human	ADJ
bitcs-886	26	18	resources	resource	NOUN
bitcs-886	26	19	and	and	CCONJ
bitcs-886	26	20	the	the	DET
bitcs-886	26	21	equipment	equipment	NOUN
bitcs-886	26	22	it	it	PRON
bitcs-886	26	23	leases	lease	VERB
bitcs-886	26	24	.	.	PUNCT
bitcs-886	27	1	this	this	DET
bitcs-886	27	2	step	step	NOUN
bitcs-886	27	3	is	be	AUX
bitcs-886	27	4	important	important	ADJ
bitcs-886	27	5	to	to	PART
bitcs-886	27	6	improve	improve	VERB
bitcs-886	27	7	services	service	NOUN
bitcs-886	27	8	from	from	ADP
bitcs-886	27	9	time	time	NOUN
bitcs-886	27	10	to	to	ADP
bitcs-886	27	11	time	time	NOUN
bitcs-886	27	12	.	.	PUNCT
bitcs-886	28	1	people	people	NOUN
bitcs-886	28	2	who	who	PRON
bitcs-886	28	3	judge	judge	VERB
bitcs-886	28	4	whether	whether	SCONJ
bitcs-886	28	5	or	or	CCONJ
bitcs-886	28	6	not	not	PART
bitcs-886	28	7	the	the	DET
bitcs-886	28	8	quality	quality	NOUN
bitcs-886	28	9	of	of	ADP
bitcs-886	28	10	service	service	NOUN
bitcs-886	28	11	is	be	AUX
bitcs-886	28	12	called	call	VERB
bitcs-886	28	13	a	a	DET
bitcs-886	28	14	consumer	consumer	NOUN
bitcs-886	28	15	.	.	PUNCT
bitcs-886	29	1	by	by	ADP
bitcs-886	29	2	comparing	compare	VERB
bitcs-886	29	3	the	the	DET
bitcs-886	29	4	services	service	NOUN
bitcs-886	29	5	they	they	PRON
bitcs-886	29	6	receive	receive	VERB
bitcs-886	29	7	with	with	ADP
bitcs-886	29	8	the	the	DET
bitcs-886	29	9	services	service	NOUN
bitcs-886	29	10	they	they	PRON
bitcs-886	29	11	expect	expect	VERB
bitcs-886	29	12	consumers	consumer	NOUN
bitcs-886	29	13	can	can	AUX
bitcs-886	29	14	judge	judge	VERB
bitcs-886	29	15	the	the	DET
bitcs-886	29	16	service	service	NOUN
bitcs-886	29	17	.	.	PUNCT
bitcs-886	30	1	consumers	consumer	NOUN
bitcs-886	30	2	who	who	PRON
bitcs-886	30	3	are	be	AUX
bitcs-886	30	4	satisfied	satisfied	ADJ
bitcs-886	30	5	with	with	ADP
bitcs-886	30	6	the	the	DET
bitcs-886	30	7	services	service	NOUN
bitcs-886	30	8	provided	provide	VERB
bitcs-886	30	9	by	by	ADP
bitcs-886	30	10	a	a	DET
bitcs-886	30	11	company	company	NOUN
bitcs-886	30	12	will	will	AUX
bitcs-886	30	13	make	make	VERB
bitcs-886	30	14	these	these	DET
bitcs-886	30	15	consumers	consumer	NOUN
bitcs-886	30	16	come	come	VERB
bitcs-886	30	17	back	back	ADV
bitcs-886	30	18	again	again	ADV
bitcs-886	30	19	to	to	PART
bitcs-886	30	20	use	use	VERB
bitcs-886	30	21	the	the	DET
bitcs-886	30	22	company	company	NOUN
bitcs-886	30	23	's	's	PART
bitcs-886	30	24	services	service	NOUN
bitcs-886	30	25	again	again	ADV
bitcs-886	30	26	.	.	PUNCT
bitcs-886	31	1	companies	company	NOUN
bitcs-886	31	2	that	that	PRON
bitcs-886	31	3	have	have	VERB
bitcs-886	31	4	loyal	loyal	ADJ
bitcs-886	31	5	customers	customer	NOUN
bitcs-886	31	6	because	because	SCONJ
bitcs-886	31	7	the	the	DET
bitcs-886	31	8	company	company	NOUN
bitcs-886	31	9	can	can	AUX
bitcs-886	31	10	satisfy	satisfy	VERB
bitcs-886	31	11	their	their	PRON
bitcs-886	31	12	customers	customer	NOUN
bitcs-886	31	13	.	.	PUNCT
bitcs-886	32	1	word	word	NOUN
bitcs-886	32	2	of	of	ADP
bitcs-886	32	3	mouth	mouth	NOUN
bitcs-886	32	4	promotion	promotion	NOUN
bitcs-886	32	5	without	without	ADP
bitcs-886	32	6	coercion	coercion	NOUN
bitcs-886	32	7	regarding	regard	VERB
bitcs-886	32	8	the	the	DET
bitcs-886	32	9	services	service	NOUN
bitcs-886	32	10	it	it	PRON
bitcs-886	32	11	has	have	AUX
bitcs-886	32	12	received	receive	VERB
bitcs-886	32	13	will	will	AUX
bitcs-886	32	14	be	be	AUX
bitcs-886	32	15	carried	carry	VERB
bitcs-886	32	16	out	out	ADP
bitcs-886	32	17	by	by	ADP
bitcs-886	32	18	loyal	loyal	ADJ
bitcs-886	32	19	consumers	consumer	NOUN
bitcs-886	33	1	[	[	X
bitcs-886	33	2	4	4	NUM
bitcs-886	33	3	]	]	PUNCT
bitcs-886	33	4	.	.	PUNCT
bitcs-886	34	1	tight	tight	ADJ
bitcs-886	34	2	competition	competition	NOUN
bitcs-886	34	3	must	must	AUX
bitcs-886	34	4	be	be	AUX
bitcs-886	34	5	faced	face	VERB
bitcs-886	34	6	by	by	ADP
bitcs-886	34	7	companies	company	NOUN
bitcs-886	34	8	in	in	ADP
bitcs-886	34	9	the	the	DET
bitcs-886	34	10	increasingly	increasingly	ADV
bitcs-886	34	11	rapid	rapid	ADJ
bitcs-886	34	12	development	development	NOUN
bitcs-886	34	13	of	of	ADP
bitcs-886	34	14	the	the	DET
bitcs-886	34	15	business	business	NOUN
bitcs-886	34	16	world	world	NOUN
bitcs-886	34	17	.	.	PUNCT
bitcs-886	35	1	the	the	DET
bitcs-886	35	2	customers	customer	NOUN
bitcs-886	35	3	he	he	PRON
bitcs-886	35	4	has	have	VERB
bitcs-886	35	5	by	by	ADP
bitcs-886	35	6	the	the	DET
bitcs-886	35	7	company	company	NOUN
bitcs-886	35	8	are	be	AUX
bitcs-886	35	9	expected	expect	VERB
bitcs-886	35	10	to	to	PART
bitcs-886	35	11	be	be	AUX
bitcs-886	35	12	maintained	maintain	VERB
bitcs-886	35	13	forever	forever	ADV
bitcs-886	35	14	.	.	PUNCT
bitcs-886	36	1	to	to	PART
bitcs-886	36	2	realize	realize	VERB
bitcs-886	36	3	this	this	PRON
bitcs-886	36	4	,	,	PUNCT
bitcs-886	36	5	it	it	PRON
bitcs-886	36	6	is	be	AUX
bitcs-886	36	7	not	not	PART
bitcs-886	36	8	something	something	PRON
bitcs-886	36	9	that	that	PRON
bitcs-886	36	10	is	be	AUX
bitcs-886	36	11	easily	easily	ADV
bitcs-886	36	12	climatic	climatic	ADJ
bitcs-886	36	13	,	,	PUNCT
bitcs-886	36	14	as	as	SCONJ
bitcs-886	36	15	business	business	NOUN
bitcs-886	36	16	competition	competition	NOUN
bitcs-886	36	17	is	be	AUX
bitcs-886	36	18	very	very	ADV
bitcs-886	36	19	tight	tight	ADJ
bitcs-886	36	20	at	at	ADP
bitcs-886	36	21	the	the	DET
bitcs-886	36	22	moment	moment	NOUN
bitcs-886	36	23	considering	consider	VERB
bitcs-886	36	24	that	that	SCONJ
bitcs-886	36	25	there	there	PRON
bitcs-886	36	26	are	be	VERB
bitcs-886	36	27	rapid	rapid	ADJ
bitcs-886	36	28	changes	change	NOUN
bitcs-886	36	29	that	that	PRON
bitcs-886	36	30	can	can	AUX
bitcs-886	36	31	occur	occur	VERB
bitcs-886	36	32	at	at	ADP
bitcs-886	36	33	any	any	DET
bitcs-886	36	34	time	time	NOUN
bitcs-886	36	35	such	such	ADJ
bitcs-886	36	36	as	as	ADP
bitcs-886	36	37	changes	change	NOUN
bitcs-886	36	38	in	in	ADP
bitcs-886	36	39	customers	customer	NOUN
bitcs-886	36	40	,	,	PUNCT
bitcs-886	36	41	competitors	competitor	NOUN
bitcs-886	36	42	or	or	CCONJ
bitcs-886	36	43	changes	change	NOUN
bitcs-886	36	44	in	in	ADP
bitcs-886	36	45	broad	broad	ADJ
bitcs-886	36	46	conditions	condition	NOUN
bitcs-886	36	47	that	that	PRON
bitcs-886	36	48	are	be	AUX
bitcs-886	36	49	always	always	ADV
bitcs-886	36	50	dynamic	dynamic	ADJ
bitcs-886	36	51	.	.	PUNCT
bitcs-886	37	1	this	this	PRON
bitcs-886	37	2	requires	require	VERB
bitcs-886	37	3	policy	policy	NOUN
bitcs-886	37	4	makers	maker	NOUN
bitcs-886	37	5	to	to	PART
bitcs-886	37	6	develop	develop	VERB
bitcs-886	37	7	a	a	DET
bitcs-886	37	8	strategy	strategy	NOUN
bitcs-886	37	9	that	that	PRON
bitcs-886	37	10	is	be	AUX
bitcs-886	37	11	able	able	ADJ
bitcs-886	37	12	to	to	PART
bitcs-886	37	13	achieve	achieve	VERB
bitcs-886	37	14	sales	sale	NOUN
bitcs-886	37	15	growth	growth	NOUN
bitcs-886	37	16	targets	target	NOUN
bitcs-886	37	17	,	,	PUNCT
bitcs-886	37	18	increase	increase	VERB
bitcs-886	37	19	the	the	DET
bitcs-886	37	20	company	company	NOUN
bitcs-886	37	21	's	's	PART
bitcs-886	37	22	market	market	NOUN
bitcs-886	37	23	share	share	NOUN
bitcs-886	37	24	,	,	PUNCT
bitcs-886	37	25	and	and	CCONJ
bitcs-886	37	26	achieve	achieve	VERB
bitcs-886	37	27	capabilities	capability	NOUN
bitcs-886	37	28	as	as	ADP
bitcs-886	37	29	the	the	DET
bitcs-886	37	30	basis	basis	NOUN
bitcs-886	37	31	for	for	ADP
bitcs-886	37	32	sustainable	sustainable	ADJ
bitcs-886	37	33	growth	growth	NOUN
bitcs-886	37	34	.	.	PUNCT
bitcs-886	38	1	[	[	X
bitcs-886	38	2	1	1	NUM
bitcs-886	38	3	]	]	PUNCT
bitcs-886	38	4	.	.	PUNCT
bitcs-886	39	1	the	the	DET
bitcs-886	39	2	tight	tight	ADJ
bitcs-886	39	3	competition	competition	NOUN
bitcs-886	39	4	must	must	AUX
bitcs-886	39	5	be	be	AUX
bitcs-886	39	6	faced	face	VERB
bitcs-886	39	7	by	by	ADP
bitcs-886	39	8	the	the	DET
bitcs-886	39	9	company	company	NOUN
bitcs-886	39	10	in	in	ADP
bitcs-886	39	11	the	the	DET
bitcs-886	39	12	rapid	rapid	ADJ
bitcs-886	39	13	development	development	NOUN
bitcs-886	39	14	of	of	ADP
bitcs-886	39	15	the	the	DET
bitcs-886	39	16	business	business	NOUN
bitcs-886	39	17	world	world	NOUN
bitcs-886	39	18	.	.	PUNCT
bitcs-886	40	1	in	in	ADP
bitcs-886	40	2	general	general	ADJ
bitcs-886	40	3	,	,	PUNCT
bitcs-886	40	4	there	there	PRON
bitcs-886	40	5	are	be	VERB
bitcs-886	40	6	many	many	ADJ
bitcs-886	40	7	ways	way	NOUN
bitcs-886	40	8	to	to	PART
bitcs-886	40	9	maintain	maintain	VERB
bitcs-886	40	10	customers	customer	NOUN
bitcs-886	40	11	forever	forever	ADV
bitcs-886	40	12	,	,	PUNCT
bitcs-886	40	13	in	in	ADP
bitcs-886	40	14	a	a	DET
bitcs-886	40	15	very	very	ADV
bitcs-886	40	16	tight	tight	ADJ
bitcs-886	40	17	mailto:sutan.faisal@ubpkarawang.ac.id	mailto:sutan.faisal@ubpkarawang.ac.id	PROPN
bitcs-886	40	18	mailto	mailto	NOUN
bitcs-886	40	19	:	:	PUNCT
bitcs-886	40	20	sutan.faisal@ubpkarawang	sutan.faisal@ubpkarawang	NUM
bitcs-886	40	21	28	28	NUM
bitcs-886	41	1	|	|	CCONJ
bitcs-886	41	2	vol.1	vol.1	PROPN
bitcs-886	41	3	no.2	no.2	PROPN
bitcs-886	41	4	,	,	PUNCT
bitcs-886	41	5	10	10	NUM
bitcs-886	41	6	july	july	PROPN
bitcs-886	41	7	2020	2020	NUM
bitcs-886	41	8	buana	buana	PROPN
bitcs-886	41	9	information	information	PROPN
bitcs-886	41	10	tchnology	tchnology	PROPN
bitcs-886	41	11	and	and	CCONJ
bitcs-886	41	12	computer	computer	NOUN
bitcs-886	41	13	sciences	science	NOUN
bitcs-886	41	14	(	(	PUNCT
bitcs-886	41	15	bit	bit	NOUN
bitcs-886	41	16	and	and	CCONJ
bitcs-886	41	17	cs	cs	ADJ
bitcs-886	41	18	)	)	PUNCT
bitcs-886	41	19	business	business	NOUN
bitcs-886	41	20	competition	competition	NOUN
bitcs-886	41	21	it	it	PRON
bitcs-886	41	22	is	be	AUX
bitcs-886	41	23	very	very	ADV
bitcs-886	41	24	difficult	difficult	ADJ
bitcs-886	41	25	to	to	PART
bitcs-886	41	26	realize	realize	VERB
bitcs-886	41	27	it	it	PRON
bitcs-886	41	28	given	give	VERB
bitcs-886	41	29	the	the	DET
bitcs-886	41	30	many	many	ADJ
bitcs-886	41	31	changes	change	NOUN
bitcs-886	41	32	that	that	PRON
bitcs-886	41	33	can	can	AUX
bitcs-886	41	34	occur	occur	VERB
bitcs-886	41	35	at	at	ADP
bitcs-886	41	36	any	any	DET
bitcs-886	41	37	time	time	NOUN
bitcs-886	41	38	.	.	PUNCT
bitcs-886	42	1	such	such	ADJ
bitcs-886	42	2	as	as	ADP
bitcs-886	42	3	changes	change	NOUN
bitcs-886	42	4	in	in	ADP
bitcs-886	42	5	customers	customer	NOUN
bitcs-886	42	6	.	.	PUNCT
bitcs-886	43	1	competitors	competitor	NOUN
bitcs-886	43	2	and	and	CCONJ
bitcs-886	43	3	changes	change	NOUN
bitcs-886	43	4	in	in	ADP
bitcs-886	43	5	broad	broad	ADJ
bitcs-886	43	6	conditions	condition	NOUN
bitcs-886	43	7	that	that	PRON
bitcs-886	43	8	always	always	ADV
bitcs-886	43	9	change	change	VERB
bitcs-886	43	10	dynamically	dynamically	ADV
bitcs-886	43	11	.	.	PUNCT
bitcs-886	44	1	this	this	PRON
bitcs-886	44	2	makes	make	VERB
bitcs-886	44	3	policy	policy	NOUN
bitcs-886	44	4	makers	maker	NOUN
bitcs-886	44	5	to	to	PART
bitcs-886	44	6	continue	continue	VERB
bitcs-886	44	7	to	to	PART
bitcs-886	44	8	develop	develop	VERB
bitcs-886	44	9	a	a	DET
bitcs-886	44	10	strategy	strategy	NOUN
bitcs-886	44	11	that	that	PRON
bitcs-886	44	12	can	can	AUX
bitcs-886	44	13	achieve	achieve	VERB
bitcs-886	44	14	the	the	DET
bitcs-886	44	15	goals	goal	NOUN
bitcs-886	44	16	of	of	ADP
bitcs-886	44	17	rental	rental	ADJ
bitcs-886	44	18	growth	growth	NOUN
bitcs-886	44	19	,	,	PUNCT
bitcs-886	44	20	increase	increase	VERB
bitcs-886	44	21	market	market	NOUN
bitcs-886	44	22	share	share	NOUN
bitcs-886	44	23	,	,	PUNCT
bitcs-886	44	24	and	and	CCONJ
bitcs-886	44	25	the	the	DET
bitcs-886	44	26	achievement	achievement	NOUN
bitcs-886	44	27	of	of	ADP
bitcs-886	44	28	capabilities	capability	NOUN
bitcs-886	44	29	as	as	ADP
bitcs-886	44	30	a	a	DET
bitcs-886	44	31	basis	basis	NOUN
bitcs-886	44	32	for	for	ADP
bitcs-886	44	33	sustainable	sustainable	ADJ
bitcs-886	44	34	growth	growth	NOUN
bitcs-886	44	35	[	[	X
bitcs-886	44	36	16	16	NUM
bitcs-886	44	37	]	]	PUNCT
bitcs-886	44	38	.	.	PUNCT
bitcs-886	45	1	b.	b.	PROPN
bitcs-886	45	2	definition	definition	NOUN
bitcs-886	45	3	of	of	ADP
bitcs-886	45	4	data	datum	NOUN
bitcs-886	45	5	minning	minne	VERB
bitcs-886	45	6	data	datum	NOUN
bitcs-886	45	7	mining	mining	NOUN
bitcs-886	45	8	is	be	AUX
bitcs-886	45	9	data	datum	NOUN
bitcs-886	45	10	mining	mining	NOUN
bitcs-886	45	11	that	that	PRON
bitcs-886	45	12	has	have	AUX
bitcs-886	45	13	long	long	ADV
bitcs-886	45	14	been	be	AUX
bitcs-886	45	15	taken	take	VERB
bitcs-886	45	16	from	from	ADP
bitcs-886	45	17	several	several	ADJ
bitcs-886	45	18	series	series	NOUN
bitcs-886	45	19	of	of	ADP
bitcs-886	45	20	activities	activity	NOUN
bitcs-886	45	21	when	when	SCONJ
bitcs-886	45	22	viewed	view	VERB
bitcs-886	45	23	from	from	ADP
bitcs-886	45	24	the	the	DET
bitcs-886	45	25	point	point	NOUN
bitcs-886	45	26	of	of	ADP
bitcs-886	45	27	view	view	NOUN
bitcs-886	45	28	,	,	PUNCT
bitcs-886	45	29	according	accord	VERB
bitcs-886	45	30	to	to	ADP
bitcs-886	45	31	[	[	X
bitcs-886	45	32	5	5	NUM
bitcs-886	45	33	]	]	PUNCT
bitcs-886	45	34	.	.	PUNCT
bitcs-886	46	1	data	datum	NOUN
bitcs-886	46	2	mining	mining	NOUN
bitcs-886	46	3	is	be	AUX
bitcs-886	46	4	an	an	DET
bitcs-886	46	5	integrated	integrate	VERB
bitcs-886	46	6	data	datum	NOUN
bitcs-886	46	7	analysis	analysis	NOUN
bitcs-886	46	8	process	process	NOUN
bitcs-886	46	9	that	that	PRON
bitcs-886	46	10	consists	consist	VERB
bitcs-886	46	11	of	of	ADP
bitcs-886	46	12	a	a	DET
bitcs-886	46	13	series	series	NOUN
bitcs-886	46	14	of	of	ADP
bitcs-886	46	15	actions	action	NOUN
bitcs-886	46	16	based	base	VERB
bitcs-886	46	17	on	on	ADP
bitcs-886	46	18	the	the	DET
bitcs-886	46	19	definition	definition	NOUN
bitcs-886	46	20	of	of	ADP
bitcs-886	46	21	the	the	DET
bitcs-886	46	22	objectives	objective	NOUN
bitcs-886	46	23	to	to	PART
bitcs-886	46	24	be	be	AUX
bitcs-886	46	25	analyzed	analyze	VERB
bitcs-886	46	26	,	,	PUNCT
bitcs-886	46	27	with	with	ADP
bitcs-886	46	28	data	datum	NOUN
bitcs-886	46	29	analysis	analysis	NOUN
bitcs-886	46	30	and	and	CCONJ
bitcs-886	46	31	interpretation	interpretation	NOUN
bitcs-886	46	32	of	of	ADP
bitcs-886	46	33	the	the	DET
bitcs-886	46	34	results	result	NOUN
bitcs-886	46	35	.	.	PUNCT
bitcs-886	47	1	in	in	ADP
bitcs-886	47	2	recent	recent	ADJ
bitcs-886	47	3	years	year	NOUN
bitcs-886	47	4	data	datum	NOUN
bitcs-886	47	5	mining	mining	NOUN
bitcs-886	47	6	has	have	AUX
bitcs-886	47	7	attracted	attract	VERB
bitcs-886	47	8	the	the	DET
bitcs-886	47	9	attention	attention	NOUN
bitcs-886	47	10	of	of	ADP
bitcs-886	47	11	the	the	DET
bitcs-886	47	12	public	public	NOUN
bitcs-886	47	13	and	and	CCONJ
bitcs-886	47	14	the	the	DET
bitcs-886	47	15	world	world	NOUN
bitcs-886	47	16	of	of	ADP
bitcs-886	47	17	information	information	NOUN
bitcs-886	47	18	systems	system	NOUN
bitcs-886	47	19	,	,	PUNCT
bitcs-886	47	20	because	because	SCONJ
bitcs-886	47	21	useful	useful	ADJ
bitcs-886	47	22	information	information	NOUN
bitcs-886	47	23	in	in	ADP
bitcs-886	47	24	the	the	DET
bitcs-886	47	25	form	form	NOUN
bitcs-886	47	26	of	of	ADP
bitcs-886	47	27	knowledge	knowledge	NOUN
bitcs-886	47	28	generated	generate	VERB
bitcs-886	47	29	from	from	ADP
bitcs-886	47	30	large	large	ADJ
bitcs-886	47	31	data	datum	NOUN
bitcs-886	47	32	is	be	AUX
bitcs-886	47	33	needed	need	VERB
bitcs-886	47	34	.	.	PUNCT
bitcs-886	48	1	applications	application	NOUN
bitcs-886	48	2	ranging	range	VERB
bitcs-886	48	3	from	from	ADP
bitcs-886	48	4	market	market	NOUN
bitcs-886	48	5	analysis	analysis	NOUN
bitcs-886	48	6	,	,	PUNCT
bitcs-886	48	7	fraud	fraud	NOUN
bitcs-886	48	8	detection	detection	NOUN
bitcs-886	48	9	,	,	PUNCT
bitcs-886	48	10	and	and	CCONJ
bitcs-886	48	11	customer	customer	NOUN
bitcs-886	48	12	retention	retention	NOUN
bitcs-886	48	13	,	,	PUNCT
bitcs-886	48	14	to	to	ADP
bitcs-886	48	15	production	production	NOUN
bitcs-886	48	16	control	control	NOUN
bitcs-886	48	17	and	and	CCONJ
bitcs-886	48	18	exploration	exploration	NOUN
bitcs-886	48	19	science	science	NOUN
bitcs-886	48	20	are	be	AUX
bitcs-886	48	21	generated	generate	VERB
bitcs-886	48	22	from	from	ADP
bitcs-886	48	23	information	information	NOUN
bitcs-886	48	24	and	and	CCONJ
bitcs-886	48	25	knowledge	knowledge	NOUN
bitcs-886	48	26	.	.	PUNCT
bitcs-886	49	1	[	[	X
bitcs-886	49	2	7	7	NUM
bitcs-886	49	3	]	]	PUNCT
bitcs-886	49	4	.	.	PUNCT
bitcs-886	50	1	according	accord	VERB
bitcs-886	50	2	to	to	ADP
bitcs-886	50	3	[	[	X
bitcs-886	50	4	5	5	NUM
bitcs-886	50	5	]	]	PUNCT
bitcs-886	50	6	,	,	PUNCT
bitcs-886	50	7	data	data	NOUN
bitcs-886	50	8	mining	mining	NOUN
bitcs-886	50	9	has	have	VERB
bitcs-886	50	10	the	the	DET
bitcs-886	50	11	following	follow	VERB
bitcs-886	50	12	stages	stage	NOUN
bitcs-886	50	13	of	of	ADP
bitcs-886	50	14	the	the	DET
bitcs-886	50	15	process	process	NOUN
bitcs-886	50	16	:	:	PUNCT
bitcs-886	50	17	1	1	X
bitcs-886	50	18	.	.	X
bitcs-886	50	19	defining	define	VERB
bitcs-886	50	20	goals	goal	NOUN
bitcs-886	50	21	for	for	ADP
bitcs-886	50	22	analysis	analysis	NOUN
bitcs-886	50	23	the	the	DET
bitcs-886	50	24	clearest	clear	ADJ
bitcs-886	50	25	statement	statement	NOUN
bitcs-886	50	26	of	of	ADP
bitcs-886	50	27	the	the	DET
bitcs-886	50	28	problem	problem	NOUN
bitcs-886	50	29	and	and	CCONJ
bitcs-886	50	30	the	the	DET
bitcs-886	50	31	achieved	achieve	VERB
bitcs-886	50	32	goals	goal	NOUN
bitcs-886	50	33	are	be	AUX
bitcs-886	50	34	the	the	DET
bitcs-886	50	35	most	most	ADV
bitcs-886	50	36	important	important	ADJ
bitcs-886	50	37	in	in	ADP
bitcs-886	50	38	the	the	DET
bitcs-886	50	39	correct	correct	ADJ
bitcs-886	50	40	formulation	formulation	NOUN
bitcs-886	50	41	of	of	ADP
bitcs-886	50	42	the	the	DET
bitcs-886	50	43	analysis	analysis	NOUN
bitcs-886	50	44	.	.	PUNCT
bitcs-886	51	1	determining	determine	VERB
bitcs-886	51	2	the	the	DET
bitcs-886	51	3	method	method	NOUN
bitcs-886	51	4	to	to	PART
bitcs-886	51	5	be	be	AUX
bitcs-886	51	6	used	use	VERB
bitcs-886	51	7	is	be	AUX
bitcs-886	51	8	one	one	NUM
bitcs-886	51	9	of	of	ADP
bitcs-886	51	10	the	the	DET
bitcs-886	51	11	most	most	ADV
bitcs-886	51	12	difficult	difficult	ADJ
bitcs-886	51	13	parts	part	NOUN
bitcs-886	51	14	of	of	ADP
bitcs-886	51	15	the	the	DET
bitcs-886	51	16	process	process	NOUN
bitcs-886	51	17	.	.	PUNCT
bitcs-886	52	1	there	there	PRON
bitcs-886	52	2	must	must	AUX
bitcs-886	52	3	be	be	AUX
bitcs-886	52	4	no	no	DET
bitcs-886	52	5	room	room	NOUN
bitcs-886	52	6	for	for	ADP
bitcs-886	52	7	doubt	doubt	NOUN
bitcs-886	52	8	or	or	CCONJ
bitcs-886	52	9	uncertainty	uncertainty	NOUN
bitcs-886	52	10	and	and	CCONJ
bitcs-886	52	11	clear	clear	ADJ
bitcs-886	52	12	goals	goal	NOUN
bitcs-886	52	13	must	must	AUX
bitcs-886	52	14	.	.	PUNCT
bitcs-886	53	1	2	2	X
bitcs-886	53	2	.	.	X
bitcs-886	53	3	selection	selection	NOUN
bitcs-886	53	4	,	,	PUNCT
bitcs-886	53	5	organization	organization	NOUN
bitcs-886	53	6	,	,	PUNCT
bitcs-886	53	7	and	and	CCONJ
bitcs-886	53	8	preliminary	preliminary	ADJ
bitcs-886	53	9	treatment	treatment	NOUN
bitcs-886	53	10	data	data	VERB
bitcs-886	53	11	the	the	DET
bitcs-886	53	12	collection	collection	NOUN
bitcs-886	53	13	or	or	CCONJ
bitcs-886	53	14	selection	selection	NOUN
bitcs-886	53	15	of	of	ADP
bitcs-886	53	16	data	datum	NOUN
bitcs-886	53	17	needed	need	VERB
bitcs-886	53	18	to	to	PART
bitcs-886	53	19	be	be	AUX
bitcs-886	53	20	analyzed	analyze	VERB
bitcs-886	53	21	is	be	AUX
bitcs-886	53	22	done	do	VERB
bitcs-886	53	23	after	after	SCONJ
bitcs-886	53	24	the	the	DET
bitcs-886	53	25	objectives	objective	NOUN
bitcs-886	53	26	are	be	AUX
bitcs-886	53	27	analyzed	analyze	VERB
bitcs-886	53	28	and	and	CCONJ
bitcs-886	53	29	identified	identify	VERB
bitcs-886	53	30	.	.	PUNCT
bitcs-886	54	1	the	the	DET
bitcs-886	54	2	ideal	ideal	ADJ
bitcs-886	54	3	source	source	NOUN
bitcs-886	54	4	of	of	ADP
bitcs-886	54	5	data	datum	NOUN
bitcs-886	54	6	is	be	AUX
bitcs-886	54	7	theata	theata	NOUN
bitcs-886	54	8	's	's	PART
bitcs-886	54	9	backup	backup	ADJ
bitcs-886	54	10	company	company	NOUN
bitcs-886	54	11	,	,	PUNCT
bitcs-886	54	12	a	a	DET
bitcs-886	54	13	"	"	PUNCT
bitcs-886	54	14	storage	storage	NOUN
bitcs-886	54	15	room	room	NOUN
bitcs-886	54	16	"	"	PUNCT
bitcs-886	54	17	of	of	ADP
bitcs-886	54	18	historical	historical	ADJ
bitcs-886	54	19	data	datum	NOUN
bitcs-886	54	20	that	that	PRON
bitcs-886	54	21	is	be	AUX
bitcs-886	54	22	no	no	ADV
bitcs-886	54	23	longer	long	ADV
bitcs-886	54	24	used	use	VERB
bitcs-886	54	25	.	.	PUNCT
bitcs-886	55	1	if	if	SCONJ
bitcs-886	55	2	there	there	PRON
bitcs-886	55	3	is	be	VERB
bitcs-886	55	4	no	no	DET
bitcs-886	55	5	data	data	NOUN
bitcs-886	55	6	storage	storage	NOUN
bitcs-886	55	7	,	,	PUNCT
bitcs-886	55	8	the	the	DET
bitcs-886	55	9	data	data	NOUN
bitcs-886	55	10	market	market	NOUN
bitcs-886	55	11	can	can	AUX
bitcs-886	55	12	be	be	AUX
bitcs-886	55	13	created	create	VERB
bitcs-886	55	14	by	by	ADP
bitcs-886	55	15	matching	match	VERB
bitcs-886	55	16	different	different	ADJ
bitcs-886	55	17	corporate	corporate	ADJ
bitcs-886	55	18	data	datum	NOUN
bitcs-886	55	19	sources	source	NOUN
bitcs-886	55	20	.	.	PUNCT
bitcs-886	56	1	3	3	X
bitcs-886	56	2	.	.	X
bitcs-886	56	3	exploration	exploration	NOUN
bitcs-886	56	4	of	of	ADP
bitcs-886	56	5	data	datum	NOUN
bitcs-886	56	6	analysis	analysis	NOUN
bitcs-886	56	7	and	and	CCONJ
bitcs-886	56	8	transforming	transform	VERB
bitcs-886	56	9	it	it	PRON
bitcs-886	56	10	at	at	ADP
bitcs-886	56	11	this	this	DET
bitcs-886	56	12	stage	stage	NOUN
bitcs-886	56	13	involves	involve	VERB
bitcs-886	56	14	an	an	DET
bitcs-886	56	15	initial	initial	ADJ
bitcs-886	56	16	exploration	exploration	NOUN
bitcs-886	56	17	analysis	analysis	NOUN
bitcs-886	56	18	of	of	ADP
bitcs-886	56	19	data	datum	NOUN
bitcs-886	56	20	,	,	PUNCT
bitcs-886	56	21	which	which	PRON
bitcs-886	56	22	is	be	AUX
bitcs-886	56	23	very	very	ADV
bitcs-886	56	24	similar	similar	ADJ
bitcs-886	56	25	to	to	ADP
bitcs-886	56	26	thetechnique	thetechnique	VERB
bitcs-886	56	27	online	online	ADJ
bitcs-886	56	28	analytical	analytical	ADJ
bitcs-886	56	29	process	process	NOUN
bitcs-886	56	30	(	(	PUNCT
bitcs-886	56	31	olap	olap	NOUN
bitcs-886	56	32	)	)	PUNCT
bitcs-886	56	33	.	.	PUNCT
bitcs-886	57	1	transformation	transformation	NOUN
bitcs-886	57	2	of	of	ADP
bitcs-886	57	3	the	the	DET
bitcs-886	57	4	original	original	ADJ
bitcs-886	57	5	variables	variable	NOUN
bitcs-886	57	6	to	to	PART
bitcs-886	57	7	better	well	ADV
bitcs-886	57	8	understand	understand	VERB
bitcs-886	57	9	the	the	DET
bitcs-886	57	10	phenomena	phenomenon	NOUN
bitcs-886	57	11	or	or	CCONJ
bitcs-886	57	12	statistical	statistical	ADJ
bitcs-886	57	13	methods	method	NOUN
bitcs-886	57	14	used	use	VERB
bitcs-886	57	15	are	be	AUX
bitcs-886	57	16	carried	carry	VERB
bitcs-886	57	17	out	out	ADP
bitcs-886	57	18	at	at	ADP
bitcs-886	57	19	this	this	DET
bitcs-886	57	20	stage	stage	NOUN
bitcs-886	57	21	.	.	PUNCT
bitcs-886	58	1	to	to	PART
bitcs-886	58	2	highlight	highlight	VERB
bitcs-886	58	3	anomalous	anomalous	ADJ
bitcs-886	58	4	data	datum	NOUN
bitcs-886	58	5	,	,	PUNCT
bitcs-886	58	6	different	different	ADJ
bitcs-886	58	7	data	datum	NOUN
bitcs-886	58	8	from	from	ADP
bitcs-886	58	9	other	other	ADJ
bitcs-886	58	10	data	datum	NOUN
bitcs-886	58	11	is	be	AUX
bitcs-886	58	12	used	use	VERB
bitcs-886	58	13	in	in	ADP
bitcs-886	58	14	the	the	DET
bitcs-886	58	15	analysis	analysis	NOUN
bitcs-886	58	16	of	of	ADP
bitcs-886	58	17	exploration	exploration	NOUN
bitcs-886	58	18	.	.	PUNCT
bitcs-886	59	1	4	4	X
bitcs-886	59	2	.	.	X
bitcs-886	59	3	specifications	specification	NOUN
bitcs-886	59	4	of	of	ADP
bitcs-886	59	5	statistical	statistical	ADJ
bitcs-886	59	6	methods	method	NOUN
bitcs-886	59	7	statistical	statistical	ADJ
bitcs-886	59	8	methods	method	NOUN
bitcs-886	59	9	can	can	AUX
bitcs-886	59	10	be	be	AUX
bitcs-886	59	11	used	use	VERB
bitcs-886	59	12	,	,	PUNCT
bitcs-886	59	13	as	as	ADV
bitcs-886	59	14	well	well	ADV
bitcs-886	59	15	as	as	ADP
bitcs-886	59	16	many	many	ADJ
bitcs-886	59	17	available	available	ADJ
bitcs-886	59	18	algorithms	algorithm	NOUN
bitcs-886	59	19	,	,	PUNCT
bitcs-886	59	20	so	so	SCONJ
bitcs-886	59	21	it	it	PRON
bitcs-886	59	22	is	be	AUX
bitcs-886	59	23	possible	possible	ADJ
bitcs-886	59	24	to	to	PART
bitcs-886	59	25	classify	classify	VERB
bitcs-886	59	26	already	already	ADV
bitcs-886	59	27	available	available	ADJ
bitcs-886	59	28	methods	method	NOUN
bitcs-886	59	29	.	.	PUNCT
bitcs-886	60	1	the	the	DET
bitcs-886	60	2	choice	choice	NOUN
bitcs-886	60	3	of	of	ADP
bitcs-886	60	4	method	method	NOUN
bitcs-886	60	5	used	use	VERB
bitcs-886	60	6	to	to	PART
bitcs-886	60	7	prepare	prepare	VERB
bitcs-886	60	8	the	the	DET
bitcs-886	60	9	analysis	analysis	NOUN
bitcs-886	60	10	depends	depend	VERB
bitcs-886	60	11	on	on	ADP
bitcs-886	60	12	the	the	DET
bitcs-886	60	13	problem	problem	NOUN
bitcs-886	60	14	being	be	AUX
bitcs-886	60	15	studied	study	VERB
bitcs-886	60	16	or	or	CCONJ
bitcs-886	60	17	the	the	DET
bitcs-886	60	18	type	type	NOUN
bitcs-886	60	19	of	of	ADP
bitcs-886	60	20	data	datum	NOUN
bitcs-886	60	21	available	available	ADJ
bitcs-886	60	22	.	.	PUNCT
bitcs-886	61	1	different	different	ADJ
bitcs-886	61	2	methods	method	NOUN
bitcs-886	61	3	are	be	AUX
bitcs-886	61	4	edited	edit	VERB
bitcs-886	61	5	into	into	ADP
bitcs-886	61	6	two	two	NUM
bitcs-886	61	7	main	main	ADJ
bitcs-886	61	8	classes	class	NOUN
bitcs-886	61	9	according	accord	VERB
bitcs-886	61	10	to	to	ADP
bitcs-886	61	11	different	different	ADJ
bitcs-886	61	12	stages	stage	NOUN
bitcs-886	61	13	of	of	ADP
bitcs-886	61	14	data	datum	NOUN
bitcs-886	61	15	analysis	analysis	NOUN
bitcs-886	61	16	,	,	PUNCT
bitcs-886	61	17	in	in	ADP
bitcs-886	61	18	particular	particular	ADJ
bitcs-886	61	19	:	:	PUNCT
bitcs-886	61	20	a.	a.	NOUN
bitcs-886	61	21	descriptive	descriptive	ADJ
bitcs-886	61	22	method	method	NOUN
bitcs-886	61	23	to	to	PART
bitcs-886	61	24	describe	describe	VERB
bitcs-886	61	25	groups	group	NOUN
bitcs-886	61	26	of	of	ADP
bitcs-886	61	27	data	datum	NOUN
bitcs-886	61	28	in	in	ADP
bitcs-886	61	29	a	a	DET
bitcs-886	61	30	concise	concise	ADJ
bitcs-886	61	31	manner	manner	NOUN
bitcs-886	61	32	is	be	AUX
bitcs-886	61	33	the	the	DET
bitcs-886	61	34	main	main	ADJ
bitcs-886	61	35	goal	goal	NOUN
bitcs-886	61	36	of	of	ADP
bitcs-886	61	37	the	the	DET
bitcs-886	61	38	method	method	NOUN
bitcs-886	61	39	.	.	PUNCT
bitcs-886	62	1	there	there	PRON
bitcs-886	62	2	is	be	VERB
bitcs-886	62	3	no	no	DET
bitcs-886	62	4	descriptive	descriptive	ADJ
bitcs-886	62	5	hypothesis	hypothesis	NOUN
bitcs-886	62	6	between	between	ADP
bitcs-886	62	7	the	the	DET
bitcs-886	62	8	available	available	ADJ
bitcs-886	62	9	variables	variable	NOUN
bitcs-886	62	10	.	.	PUNCT
bitcs-886	63	1	included	include	VERB
bitcs-886	63	2	in	in	ADP
bitcs-886	63	3	this	this	DET
bitcs-886	63	4	group	group	NOUN
bitcs-886	63	5	are	be	AUX
bitcs-886	63	6	the	the	DET
bitcs-886	63	7	association	association	NOUN
bitcs-886	63	8	method	method	NOUN
bitcs-886	63	9	,	,	PUNCT
bitcs-886	63	10	loglinearmodel	loglinearmodel	NOUN
bitcs-886	63	11	,	,	PUNCT
bitcs-886	63	12	graphical	graphical	ADJ
bitcs-886	63	13	model	model	NOUN
bitcs-886	63	14	)	)	PUNCT
bitcs-886	63	15	.	.	PUNCT
bitcs-886	64	1	b.	b.	PROPN
bitcs-886	64	2	prediction	prediction	NOUN
bitcs-886	64	3	method	method	VERB
bitcs-886	64	4	the	the	DET
bitcs-886	64	5	purpose	purpose	NOUN
bitcs-886	64	6	of	of	ADP
bitcs-886	64	7	this	this	DET
bitcs-886	64	8	class	class	NOUN
bitcs-886	64	9	method	method	NOUN
bitcs-886	64	10	is	be	AUX
bitcs-886	64	11	to	to	PART
bitcs-886	64	12	describe	describe	VERB
bitcs-886	64	13	one	one	NUM
bitcs-886	64	14	or	or	CCONJ
bitcs-886	64	15	more	more	ADJ
bitcs-886	64	16	variables	variable	NOUN
bitcs-886	64	17	that	that	PRON
bitcs-886	64	18	are	be	AUX
bitcs-886	64	19	performed	perform	VERB
bitcs-886	64	20	by	by	ADP
bitcs-886	64	21	finding	find	VERB
bitcs-886	64	22	classification	classification	NOUN
bitcs-886	64	23	or	or	CCONJ
bitcs-886	64	24	prediction	prediction	NOUN
bitcs-886	64	25	rules	rule	NOUN
bitcs-886	64	26	based	base	VERB
bitcs-886	64	27	on	on	ADP
bitcs-886	64	28	the	the	DET
bitcs-886	64	29	data	datum	NOUN
bitcs-886	64	30	.	.	PUNCT
bitcs-886	65	1	these	these	DET
bitcs-886	65	2	rules	rule	NOUN
bitcs-886	65	3	help	help	VERB
bitcs-886	65	4	to	to	PART
bitcs-886	65	5	predict	predict	VERB
bitcs-886	65	6	or	or	CCONJ
bitcs-886	65	7	classify	classify	VERB
bitcs-886	65	8	one	one	NUM
bitcs-886	65	9	or	or	CCONJ
bitcs-886	65	10	more	more	ADJ
bitcs-886	65	11	answers	answer	NOUN
bitcs-886	65	12	or	or	CCONJ
bitcs-886	65	13	future	future	ADJ
bitcs-886	65	14	variables	variable	NOUN
bitcs-886	65	15	of	of	ADP
bitcs-886	65	16	the	the	DET
bitcs-886	65	17	target	target	NOUN
bitcs-886	65	18	variables	variable	NOUN
bitcs-886	65	19	in	in	ADP
bitcs-886	65	20	relation	relation	NOUN
bitcs-886	65	21	to	to	ADP
bitcs-886	65	22	what	what	PRON
bitcs-886	65	23	is	be	AUX
bitcs-886	65	24	happening	happen	VERB
bitcs-886	65	25	with	with	ADP
bitcs-886	65	26	the	the	DET
bitcs-886	65	27	explanatory	explanatory	ADJ
bitcs-886	65	28	or	or	CCONJ
bitcs-886	65	29	input	input	NOUN
bitcs-886	65	30	variable	variable	NOUN
bitcs-886	65	31	.	.	PUNCT
bitcs-886	66	1	included	include	VERB
bitcs-886	66	2	in	in	ADP
bitcs-886	66	3	this	this	DET
bitcs-886	66	4	method	method	NOUN
bitcs-886	66	5	are	be	AUX
bitcs-886	66	6	neural	neural	ADJ
bitcs-886	66	7	networks	network	NOUN
bitcs-886	66	8	,	,	PUNCT
bitcs-886	66	9	decision	decision	NOUN
bitcs-886	66	10	trees	tree	NOUN
bitcs-886	66	11	,	,	PUNCT
bitcs-886	66	12	and	and	CCONJ
bitcs-886	66	13	linear	linear	ADJ
bitcs-886	66	14	and	and	CCONJ
bitcs-886	66	15	logistic	logistic	ADJ
bitcs-886	66	16	regression	regression	NOUN
bitcs-886	66	17	models	model	NOUN
bitcs-886	66	18	.	.	PUNCT
bitcs-886	67	1	5	5	X
bitcs-886	67	2	.	.	X
bitcs-886	67	3	data	datum	NOUN
bitcs-886	67	4	analysis	analysis	NOUN
bitcs-886	67	5	based	base	VERB
bitcs-886	67	6	on	on	ADP
bitcs-886	67	7	the	the	DET
bitcs-886	67	8	method	method	NOUN
bitcs-886	67	9	chosen	choose	VERB
bitcs-886	67	10	,	,	PUNCT
bitcs-886	67	11	which	which	PRON
bitcs-886	67	12	will	will	AUX
bitcs-886	67	13	then	then	ADV
bitcs-886	67	14	be	be	AUX
bitcs-886	67	15	applied	apply	VERB
bitcs-886	67	16	to	to	ADP
bitcs-886	67	17	the	the	DET
bitcs-886	67	18	statistical	statistical	ADJ
bitcs-886	67	19	method	method	NOUN
bitcs-886	67	20	to	to	PART
bitcs-886	67	21	be	be	AUX
bitcs-886	67	22	used	use	VERB
bitcs-886	67	23	then	then	ADV
bitcs-886	67	24	translating	translate	VERB
bitcs-886	67	25	into	into	ADP
bitcs-886	67	26	the	the	DET
bitcs-886	67	27	appropriate	appropriate	ADJ
bitcs-886	67	28	algorithm	algorithm	NOUN
bitcs-886	67	29	to	to	PART
bitcs-886	67	30	get	get	VERB
bitcs-886	67	31	the	the	DET
bitcs-886	67	32	required	require	VERB
bitcs-886	67	33	results	result	NOUN
bitcs-886	67	34	based	base	VERB
bitcs-886	67	35	on	on	ADP
bitcs-886	67	36	available	available	ADJ
bitcs-886	67	37	data	datum	NOUN
bitcs-886	67	38	.	.	PUNCT
bitcs-886	68	1	6	6	NUM
bitcs-886	68	2	.	.	X
bitcs-886	68	3	evaluation	evaluation	NOUN
bitcs-886	68	4	of	of	ADP
bitcs-886	68	5	the	the	DET
bitcs-886	68	6	methods	method	NOUN
bitcs-886	68	7	used	use	VERB
bitcs-886	68	8	and	and	CCONJ
bitcs-886	68	9	comparison	comparison	NOUN
bitcs-886	68	10	for	for	ADP
bitcs-886	68	11	the	the	DET
bitcs-886	68	12	analysis	analysis	NOUN
bitcs-886	68	13	of	of	ADP
bitcs-886	68	14	the	the	DET
bitcs-886	68	15	final	final	ADJ
bitcs-886	68	16	model	model	NOUN
bitcs-886	68	17	selection	selection	NOUN
bitcs-886	68	18	7	7	NUM
bitcs-886	68	19	.	.	PUNCT
bitcs-886	68	20	commentary	commentary	NOUN
bitcs-886	68	21	on	on	ADP
bitcs-886	68	22	the	the	DET
bitcs-886	68	23	selected	select	VERB
bitcs-886	68	24	model	model	NOUN
bitcs-886	68	25	and	and	CCONJ
bitcs-886	68	26	its	its	PRON
bitcs-886	68	27	use	use	NOUN
bitcs-886	68	28	in	in	ADP
bitcs-886	68	29	the	the	DET
bitcs-886	68	30	decision	decision	NOUN
bitcs-886	68	31	-	-	PUNCT
bitcs-886	68	32	making	make	VERB
bitcs-886	68	33	process	process	NOUN
bitcs-886	68	34	.	.	PUNCT
bitcs-886	69	1	c.	c.	NOUN
bitcs-886	69	2	clasification	clasification	NOUN
bitcs-886	69	3	and	and	CCONJ
bitcs-886	69	4	prediction	prediction	NOUN
bitcs-886	69	5	classification	classification	NOUN
bitcs-886	69	6	and	and	CCONJ
bitcs-886	69	7	prediction	prediction	NOUN
bitcs-886	69	8	is	be	AUX
bitcs-886	69	9	a	a	DET
bitcs-886	69	10	method	method	NOUN
bitcs-886	69	11	that	that	PRON
bitcs-886	69	12	can	can	AUX
bitcs-886	69	13	make	make	VERB
bitcs-886	69	14	smart	smart	ADJ
bitcs-886	69	15	decisions	decision	NOUN
bitcs-886	69	16	.	.	PUNCT
bitcs-886	70	1	researchers	researcher	NOUN
bitcs-886	70	2	have	have	AUX
bitcs-886	70	3	now	now	ADV
bitcs-886	70	4	proposed	propose	VERB
bitcs-886	70	5	a	a	DET
bitcs-886	70	6	number	number	NOUN
bitcs-886	70	7	of	of	ADP
bitcs-886	70	8	classifications	classification	NOUN
bitcs-886	70	9	and	and	CCONJ
bitcs-886	70	10	forecasting	forecasting	NOUN
bitcs-886	70	11	methods	method	NOUN
bitcs-886	70	12	for	for	ADP
bitcs-886	70	13	machine	machine	NOUN
bitcs-886	70	14	learning	learning	NOUN
bitcs-886	70	15	,	,	PUNCT
bitcs-886	70	16	pattern	pattern	NOUN
bitcs-886	70	17	recognition	recognition	NOUN
bitcs-886	70	18	,	,	PUNCT
bitcs-886	70	19	statistical	statistical	ADJ
bitcs-886	70	20	research	research	NOUN
bitcs-886	70	21	.	.	PUNCT
bitcs-886	71	1	in	in	ADP
bitcs-886	71	2	this	this	DET
bitcs-886	71	3	study	study	NOUN
bitcs-886	71	4	,	,	PUNCT
bitcs-886	71	5	we	we	PRON
bitcs-886	71	6	focus	focus	VERB
bitcs-886	71	7	on	on	ADP
bitcs-886	71	8	classifying	classify	VERB
bitcs-886	71	9	methods	method	NOUN
bitcs-886	71	10	in	in	ADP
bitcs-886	71	11	data	datum	NOUN
bitcs-886	71	12	mining	mining	NOUN
bitcs-886	71	13	as	as	ADP
bitcs-886	71	14	part	part	NOUN
bitcs-886	71	15	of	of	ADP
bitcs-886	71	16	the	the	DET
bitcs-886	71	17	machine	machine	NOUN
bitcs-886	71	18	learning	learning	NOUN
bitcs-886	71	19	process	process	NOUN
bitcs-886	71	20	.	.	PUNCT
bitcs-886	72	1	the	the	DET
bitcs-886	72	2	form	form	NOUN
bitcs-886	72	3	of	of	ADP
bitcs-886	72	4	data	datum	NOUN
bitcs-886	72	5	analysis	analysis	NOUN
bitcs-886	72	6	that	that	PRON
bitcs-886	72	7	can	can	AUX
bitcs-886	72	8	be	be	AUX
bitcs-886	72	9	used	use	VERB
bitcs-886	72	10	to	to	PART
bitcs-886	72	11	extract	extract	VERB
bitcs-886	72	12	models	model	NOUN
bitcs-886	72	13	to	to	PART
bitcs-886	72	14	predict	predict	VERB
bitcs-886	72	15	future	future	ADJ
bitcs-886	72	16	trends	trend	NOUN
bitcs-886	72	17	in	in	ADP
bitcs-886	72	18	data	datum	NOUN
bitcs-886	72	19	to	to	PART
bitcs-886	72	20	be	be	AUX
bitcs-886	72	21	predicted	predict	VERB
bitcs-886	72	22	is	be	AUX
bitcs-886	72	23	the	the	DET
bitcs-886	72	24	classification	classification	NOUN
bitcs-886	72	25	and	and	CCONJ
bitcs-886	72	26	prediction	prediction	NOUN
bitcs-886	72	27	of	of	ADP
bitcs-886	72	28	data	datum	NOUN
bitcs-886	72	29	mining	mining	NOUN
bitcs-886	72	30	.	.	PUNCT
bitcs-886	73	1	the	the	DET
bitcs-886	73	2	classification	classification	NOUN
bitcs-886	73	3	process	process	NOUN
bitcs-886	73	4	is	be	AUX
bitcs-886	73	5	divided	divide	VERB
bitcs-886	73	6	into	into	ADP
bitcs-886	73	7	two	two	NUM
bitcs-886	73	8	stages	stage	NOUN
bitcs-886	73	9	,	,	PUNCT
bitcs-886	73	10	first	first	ADV
bitcs-886	73	11	the	the	DET
bitcs-886	73	12	learning	learning	NOUN
bitcs-886	73	13	process	process	NOUN
bitcs-886	73	14	in	in	ADP
bitcs-886	73	15	which	which	PRON
bitcs-886	73	16	the	the	DET
bitcs-886	73	17	classification	classification	NOUN
bitcs-886	73	18	algorithm	algorithm	NOUN
bitcs-886	73	19	is	be	AUX
bitcs-886	73	20	used	use	VERB
bitcs-886	73	21	to	to	PART
bitcs-886	73	22	analyze	analyze	VERB
bitcs-886	73	23	training	training	NOUN
bitcs-886	73	24	data	datum	NOUN
bitcs-886	73	25	.	.	PUNCT
bitcs-886	74	1	is	be	AUX
bitcs-886	74	2	,	,	PUNCT
bitcs-886	74	3	the	the	DET
bitcs-886	74	4	results	result	NOUN
bitcs-886	74	5	of	of	ADP
bitcs-886	74	6	the	the	DET
bitcs-886	74	7	presentation	presentation	NOUN
bitcs-886	74	8	of	of	ADP
bitcs-886	74	9	the	the	DET
bitcs-886	74	10	learning	learning	NOUN
bitcs-886	74	11	model	model	NOUN
bitcs-886	74	12	or	or	CCONJ
bitcs-886	74	13	classifier	classifier	NOUN
bitcs-886	74	14	in	in	ADP
bitcs-886	74	15	the	the	DET
bitcs-886	74	16	form	form	NOUN
bitcs-886	74	17	of	of	ADP
bitcs-886	74	18	classification	classification	NOUN
bitcs-886	74	19	rules	rule	NOUN
bitcs-886	74	20	,	,	PUNCT
bitcs-886	74	21	the	the	DET
bitcs-886	74	22	two	two	NUM
bitcs-886	74	23	phases	phase	NOUN
bitcs-886	74	24	of	of	ADP
bitcs-886	74	25	the	the	DET
bitcs-886	74	26	classification	classification	NOUN
bitcs-886	74	27	process	process	NOUN
bitcs-886	74	28	,	,	PUNCT
bitcs-886	74	29	estimating	estimate	VERB
bitcs-886	74	30	the	the	DET
bitcs-886	74	31	accuracy	accuracy	NOUN
bitcs-886	74	32	of	of	ADP
bitcs-886	74	33	the	the	DET
bitcs-886	74	34	classification	classification	NOUN
bitcs-886	74	35	model	model	NOUN
bitcs-886	74	36	or	or	CCONJ
bitcs-886	74	37	classifier	classifier	NOUN
bitcs-886	74	38	from	from	ADP
bitcs-886	74	39	the	the	DET
bitcs-886	74	40	test	test	NOUN
bitcs-886	74	41	data	datum	NOUN
bitcs-886	74	42	.	.	PUNCT
bitcs-886	75	1	if	if	SCONJ
bitcs-886	75	2	the	the	DET
bitcs-886	75	3	accuracy	accuracy	NOUN
bitcs-886	75	4	is	be	AUX
bitcs-886	75	5	accepted	accept	VERB
bitcs-886	75	6	,	,	PUNCT
bitcs-886	75	7	the	the	DET
bitcs-886	75	8	model	model	NOUN
bitcs-886	75	9	is	be	AUX
bitcs-886	75	10	applied	apply	VERB
bitcs-886	75	11	to	to	PART
bitcs-886	75	12	find	find	VERB
bitcs-886	75	13	out	out	ADP
bitcs-886	75	14	the	the	DET
bitcs-886	75	15	predicted	predict	VERB
bitcs-886	75	16	results	result	NOUN
bitcs-886	75	17	of	of	ADP
bitcs-886	75	18	new	new	ADJ
bitcs-886	75	19	data	datum	NOUN
bitcs-886	75	20	.	.	PUNCT
bitcs-886	76	1	bayesian	bayesian	NOUN
bitcs-886	76	2	methods	method	NOUN
bitcs-886	76	3	,	,	PUNCT
bitcs-886	76	4	bayesian	bayesian	NOUN
bitcs-886	76	5	networks	network	NOUN
bitcs-886	76	6	,	,	PUNCT
bitcs-886	76	7	algorithm	algorithm	NOUN
bitcs-886	76	8	-	-	PUNCT
bitcs-886	76	9	based	base	VERB
bitcs-886	76	10	rules	rule	NOUN
bitcs-886	76	11	,	,	PUNCT
bitcs-886	76	12	neural	neural	ADJ
bitcs-886	76	13	networks	network	NOUN
bitcs-886	76	14	,	,	PUNCT
bitcs-886	76	15	vector	vector	NOUN
bitcs-886	76	16	machine	machine	NOUN
bitcs-886	76	17	support	support	NOUN
bitcs-886	76	18	,	,	PUNCT
bitcs-886	76	19	mining	mining	NOUN
bitcs-886	76	20	rules	rule	NOUN
bitcs-886	76	21	associations	association	NOUN
bitcs-886	76	22	,	,	PUNCT
bitcs-886	76	23	k	k	X
bitcs-886	76	24	-	-	PUNCT
bitcs-886	76	25	nearest	near	ADJ
bitcs-886	76	26	neighbors	neighbor	NOUN
bitcs-886	76	27	,	,	PUNCT
bitcs-886	76	28	case	case	NOUN
bitcs-886	76	29	-	-	PUNCT
bitcs-886	76	30	based	base	VERB
bitcs-886	76	31	reasoning	reasoning	NOUN
bitcs-886	76	32	,	,	PUNCT
bitcs-886	76	33	genetic	genetic	ADJ
bitcs-886	76	34	algorithms	algorithm	NOUN
bitcs-886	76	35	,	,	PUNCT
bitcs-886	76	36	rough	rough	ADJ
bitcs-886	76	37	sets	set	NOUN
bitcs-886	76	38	and	and	CCONJ
bitcs-886	76	39	fuzzy	fuzzy	ADJ
bitcs-886	76	40	logic	logic	NOUN
bitcs-886	76	41	are	be	AUX
bitcs-886	76	42	the	the	DET
bitcs-886	76	43	classification	classification	NOUN
bitcs-886	76	44	techniques	technique	NOUN
bitcs-886	76	45	used	use	VERB
bitcs-886	76	46	.	.	PUNCT
bitcs-886	77	1	focusing	focus	VERB
bitcs-886	77	2	the	the	DET
bitcs-886	77	3	nearest	near	ADJ
bitcs-886	77	4	neighbor	neighbor	NOUN
bitcs-886	77	5	(	(	PUNCT
bitcs-886	77	6	knn	knn	PROPN
bitcs-886	77	7	)	)	PUNCT
bitcs-886	77	8	k	k	PROPN
bitcs-886	77	9	algorithm	algorithm	NOUN
bitcs-886	77	10	in	in	ADP
bitcs-886	77	11	this	this	DET
bitcs-886	77	12	study	study	NOUN
bitcs-886	77	13	.	.	PUNCT
bitcs-886	78	1	d.	d.	PROPN
bitcs-886	78	2	data	data	PROPN
bitcs-886	78	3	minning	minne	VERB
bitcs-886	78	4	methods	method	NOUN
bitcs-886	78	5	the	the	DET
bitcs-886	78	6	idea	idea	NOUN
bitcs-886	78	7	of	of	ADP
bitcs-886	78	8	people	people	NOUN
bitcs-886	78	9	already	already	ADV
bitcs-886	78	10	having	have	VERB
bitcs-886	78	11	knowledge	knowledge	NOUN
bitcs-886	78	12	in	in	ADP
bitcs-886	78	13	the	the	DET
bitcs-886	78	14	process	process	NOUN
bitcs-886	78	15	of	of	ADP
bitcs-886	78	16	classifying	classify	VERB
bitcs-886	78	17	management	management	NOUN
bitcs-886	78	18	has	have	AUX
bitcs-886	78	19	already	already	ADV
bitcs-886	78	20	been	be	AUX
bitcs-886	78	21	widely	widely	ADV
bitcs-886	78	22	used	use	VERB
bitcs-886	78	23	.	.	PUNCT
bitcs-886	79	1	but	but	CCONJ
bitcs-886	79	2	talking	talk	VERB
bitcs-886	79	3	about	about	ADP
bitcs-886	79	4	taxonomy	taxonomy	NOUN
bitcs-886	79	5	(	(	PUNCT
bitcs-886	79	6	tassein	tassein	NOUN
bitcs-886	79	7	=	=	PRON
bitcs-886	79	8	classify	classify	VERB
bitcs-886	79	9	+	+	NUM
bitcs-886	79	10	nomos	nomos	PROPN
bitcs-886	79	11	=	=	SYM
bitcs-886	79	12	science	science	NOUN
bitcs-886	79	13	,	,	PUNCT
bitcs-886	79	14	law	law	NOUN
bitcs-886	79	15	)	)	PUNCT
bitcs-886	79	16	its	its	PRON
bitcs-886	79	17	use	use	NOUN
bitcs-886	79	18	as	as	ADP
bitcs-886	79	19	a	a	DET
bitcs-886	79	20	science	science	NOUN
bitcs-886	79	21	of	of	ADP
bitcs-886	79	22	grouping	group	VERB
bitcs-886	79	23	living	living	NOUN
bitcs-886	79	24	organisms	organism	NOUN
bitcs-886	79	25	(	(	PUNCT
bitcs-886	79	26	alpha	alpha	NOUN
bitcs-886	79	27	taxonomy	taxonomy	NOUN
bitcs-886	79	28	)	)	PUNCT
bitcs-886	79	29	at	at	ADP
bitcs-886	79	30	first	first	ADV
bitcs-886	79	31	,	,	PUNCT
bitcs-886	79	32	has	have	AUX
bitcs-886	79	33	since	since	SCONJ
bitcs-886	79	34	become	become	VERB
bitcs-886	79	35	a	a	DET
bitcs-886	79	36	general	general	ADJ
bitcs-886	79	37	science	science	NOUN
bitcs-886	79	38	group	group	NOUN
bitcs-886	79	39	,	,	PUNCT
bitcs-886	79	40	including	include	VERB
bitcs-886	79	41	the	the	DET
bitcs-886	79	42	principle	principle	NOUN
bitcs-886	79	43	of	of	ADP
bitcs-886	79	44	classification	classification	NOUN
bitcs-886	79	45	(	(	PUNCT
bitcs-886	79	46	taxonomic	taxonomic	ADJ
bitcs-886	79	47	schemes	scheme	NOUN
bitcs-886	79	48	)	)	PUNCT
bitcs-886	79	49	.	.	PUNCT
bitcs-886	80	1	thus	thus	ADV
bitcs-886	80	2	,	,	PUNCT
bitcs-886	80	3	classification	classification	NOUN
bitcs-886	80	4	(	(	PUNCT
bitcs-886	80	5	taxonomy	taxonomy	NOUN
bitcs-886	80	6	)	)	PUNCT
bitcs-886	80	7	processes	process	VERB
bitcs-886	80	8	the	the	DET
bitcs-886	80	9	placement	placement	NOUN
bitcs-886	80	10	of	of	ADP
bitcs-886	80	11	an	an	DET
bitcs-886	80	12	object	object	NOUN
bitcs-886	80	13	(	(	PUNCT
bitcs-886	80	14	concept	concept	NOUN
bitcs-886	80	15	)	)	PUNCT
bitcs-886	80	16	based	base	VERB
bitcs-886	80	17	on	on	ADP
bitcs-886	80	18	a	a	DET
bitcs-886	80	19	number	number	NOUN
bitcs-886	80	20	of	of	ADP
bitcs-886	80	21	categories	category	NOUN
bitcs-886	80	22	,	,	PUNCT
bitcs-886	80	23	each	each	DET
bitcs-886	80	24	object	object	NOUN
bitcs-886	80	25	(	(	PUNCT
bitcs-886	80	26	concept	concept	NOUN
bitcs-886	80	27	)	)	PUNCT
bitcs-886	80	28	based	base	VERB
bitcs-886	80	29	on	on	ADP
bitcs-886	80	30	ownership	ownership	NOUN
bitcs-886	80	31	.	.	PUNCT
bitcs-886	81	1	[	[	X
bitcs-886	81	2	6	6	NUM
bitcs-886	81	3	]	]	PUNCT
bitcs-886	81	4	.	.	PUNCT
bitcs-886	82	1	four	four	NUM
bitcs-886	82	2	basic	basic	ADJ
bitcs-886	82	3	components	component	NOUN
bitcs-886	82	4	for	for	ADP
bitcs-886	82	5	the	the	DET
bitcs-886	82	6	classification	classification	NOUN
bitcs-886	82	7	process	process	NOUN
bitcs-886	82	8	:	:	PUNCT
bitcs-886	82	9	1	1	X
bitcs-886	82	10	.	.	X
bitcs-886	82	11	class	class	NOUN
bitcs-886	82	12	:	:	PUNCT
bitcs-886	82	13	the	the	DET
bitcs-886	82	14	dependent	dependent	ADJ
bitcs-886	82	15	variable	variable	NOUN
bitcs-886	82	16	of	of	ADP
bitcs-886	82	17	the	the	DET
bitcs-886	82	18	model	model	NOUN
bitcs-886	82	19	is	be	AUX
bitcs-886	82	20	the	the	DET
bitcs-886	82	21	categorical	categorical	ADJ
bitcs-886	82	22	variable	variable	NOUN
bitcs-886	82	23	to	to	PART
bitcs-886	82	24	represent	represent	VERB
bitcs-886	82	25	the	the	DET
bitcs-886	82	26	'	'	PUNCT
bitcs-886	82	27	label	label	NOUN
bitcs-886	82	28	'	'	PUNCT
bitcs-886	82	29	that	that	PRON
bitcs-886	82	30	uses	use	VERB
bitcs-886	82	31	the	the	DET
bitcs-886	82	32	object	object	NOUN
bitcs-886	82	33	after	after	ADP
bitcs-886	82	34	its	its	PRON
bitcs-886	82	35	classification	classification	NOUN
bitcs-886	82	36	.	.	PUNCT
bitcs-886	83	1	examples	example	NOUN
bitcs-886	83	2	of	of	ADP
bitcs-886	83	3	lessons	lesson	NOUN
bitcs-886	83	4	are	be	AUX
bitcs-886	83	5	:	:	PUNCT
bitcs-886	83	6	heart	heart	NOUN
bitcs-886	83	7	attack	attack	NOUN
bitcs-886	83	8	,	,	PUNCT
bitcs-886	83	9	customer	customer	NOUN
bitcs-886	83	10	loyalty	loyalty	NOUN
bitcs-886	83	11	,	,	PUNCT
bitcs-886	83	12	stellar	stellar	ADJ
bitcs-886	83	13	lesson	lesson	NOUN
bitcs-886	83	14	(	(	PUNCT
bitcs-886	83	15	galaxy	galaxy	PROPN
bitcs-886	83	16	)	)	PUNCT
bitcs-886	83	17	,	,	PUNCT
bitcs-886	83	18	earthquake	earthquake	NOUN
bitcs-886	83	19	lesson	lesson	NOUN
bitcs-886	83	20	(	(	PUNCT
bitcs-886	83	21	storm	storm	NOUN
bitcs-886	83	22	)	)	PUNCT
bitcs-886	83	23	,	,	PUNCT
bitcs-886	83	24	etc	etc	X
bitcs-886	83	25	.	.	X
bitcs-886	84	1	29	29	NUM
bitcs-886	84	2	|	|	ADV
bitcs-886	84	3	vol.1	vol.1	PROPN
bitcs-886	84	4	no.2	no.2	PROPN
bitcs-886	84	5	,	,	PUNCT
bitcs-886	84	6	10	10	NUM
bitcs-886	84	7	july	july	PROPN
bitcs-886	84	8	2020	2020	NUM
bitcs-886	84	9	buana	buana	PROPN
bitcs-886	84	10	information	information	PROPN
bitcs-886	84	11	tchnology	tchnology	PROPN
bitcs-886	84	12	and	and	CCONJ
bitcs-886	84	13	computer	computer	NOUN
bitcs-886	84	14	sciences	science	NOUN
bitcs-886	84	15	(	(	PUNCT
bitcs-886	84	16	bit	bit	NOUN
bitcs-886	84	17	and	and	CCONJ
bitcs-886	84	18	cs	cs	ADJ
bitcs-886	84	19	)	)	PUNCT
bitcs-886	84	20	2	2	NUM
bitcs-886	84	21	.	.	PUNCT
bitcs-886	84	22	predictors	predictor	NOUN
bitcs-886	84	23	:	:	PUNCT
bitcs-886	84	24	classification	classification	NOUN
bitcs-886	84	25	of	of	ADP
bitcs-886	84	26	data	datum	NOUN
bitcs-886	84	27	and	and	CCONJ
bitcs-886	84	28	based	base	VERB
bitcs-886	84	29	on	on	ADP
bitcs-886	84	30	the	the	DET
bitcs-886	84	31	classification	classification	NOUN
bitcs-886	84	32	made	make	VERB
bitcs-886	84	33	from	from	ADP
bitcs-886	84	34	the	the	DET
bitcs-886	84	35	model	model	NOUN
bitcs-886	84	36	represented	represent	VERB
bitcs-886	84	37	by	by	ADP
bitcs-886	84	38	the	the	DET
bitcs-886	84	39	characteristics	characteristic	NOUN
bitcs-886	84	40	(	(	PUNCT
bitcs-886	84	41	attributes	attribute	NOUN
bitcs-886	84	42	)	)	PUNCT
bitcs-886	84	43	which	which	PRON
bitcs-886	84	44	are	be	AUX
bitcs-886	84	45	independent	independent	ADJ
bitcs-886	84	46	variables	variable	NOUN
bitcs-886	84	47	.	.	PUNCT
bitcs-886	85	1	examples	example	NOUN
bitcs-886	85	2	of	of	ADP
bitcs-886	85	3	such	such	ADJ
bitcs-886	85	4	predictors	predictor	NOUN
bitcs-886	85	5	are	be	AUX
bitcs-886	85	6	:	:	PUNCT
bitcs-886	85	7	smoking	smoking	NOUN
bitcs-886	85	8	,	,	PUNCT
bitcs-886	85	9	drug	drug	NOUN
bitcs-886	85	10	consumption	consumption	NOUN
bitcs-886	85	11	,	,	PUNCT
bitcs-886	85	12	blood	blood	NOUN
bitcs-886	85	13	sugar	sugar	NOUN
bitcs-886	85	14	,	,	PUNCT
bitcs-886	85	15	sales	sale	NOUN
bitcs-886	85	16	frequency	frequency	NOUN
bitcs-886	85	17	,	,	PUNCT
bitcs-886	85	18	sex	sex	NOUN
bitcs-886	85	19	status	status	NOUN
bitcs-886	85	20	,	,	PUNCT
bitcs-886	85	21	satellite	satellite	NOUN
bitcs-886	85	22	images	image	NOUN
bitcs-886	85	23	,	,	PUNCT
bitcs-886	85	24	geological	geological	ADJ
bitcs-886	85	25	record	record	NOUN
bitcs-886	85	26	,	,	PUNCT
bitcs-886	85	27	and	and	CCONJ
bitcs-886	85	28	wind	wind	NOUN
bitcs-886	85	29	speed	speed	NOUN
bitcs-886	85	30	direction	direction	NOUN
bitcs-886	85	31	,	,	PUNCT
bitcs-886	85	32	season	season	NOUN
bitcs-886	85	33	,	,	PUNCT
bitcs-886	85	34	etc	etc	X
bitcs-886	85	35	.	.	X
bitcs-886	86	1	3	3	X
bitcs-886	86	2	.	.	X
bitcs-886	86	3	training	training	NOUN
bitcs-886	86	4	dataset	dataset	VERB
bitcs-886	86	5	the	the	DET
bitcs-886	86	6	data	datum	NOUN
bitcs-886	86	7	used	use	VERB
bitcs-886	86	8	for	for	ADP
bitcs-886	86	9	the	the	DET
bitcs-886	86	10	'	'	PUNCT
bitcs-886	86	11	training	training	NOUN
bitcs-886	86	12	'	'	PUNCT
bitcs-886	86	13	model	model	NOUN
bitcs-886	86	14	to	to	PART
bitcs-886	86	15	recognize	recognize	VERB
bitcs-886	86	16	according	accord	VERB
bitcs-886	86	17	to	to	ADP
bitcs-886	86	18	class	class	NOUN
bitcs-886	86	19	,	,	PUNCT
bitcs-886	86	20	based	base	VERB
bitcs-886	86	21	on	on	ADP
bitcs-886	86	22	predictions	prediction	NOUN
bitcs-886	86	23	available	available	ADJ
bitcs-886	86	24	from	from	ADP
bitcs-886	86	25	the	the	DET
bitcs-886	86	26	two	two	NUM
bitcs-886	86	27	two	two	NUM
bitcs-886	86	28	component	component	NOUN
bitcs-886	86	29	data	datum	NOUN
bitcs-886	86	30	values	value	NOUN
bitcs-886	86	31	before	before	ADV
bitcs-886	86	32	.	.	PUNCT
bitcs-886	87	1	4	4	X
bitcs-886	87	2	.	.	X
bitcs-886	87	3	testing	test	VERB
bitcs-886	87	4	the	the	DET
bitcs-886	87	5	dataset	dataset	NOUN
bitcs-886	87	6	:	:	PUNCT
bitcs-886	87	7	contains	contain	VERB
bitcs-886	87	8	new	new	ADJ
bitcs-886	87	9	data	datum	NOUN
bitcs-886	87	10	classifications	classification	NOUN
bitcs-886	87	11	based	base	VERB
bitcs-886	87	12	on	on	ADP
bitcs-886	87	13	the	the	DET
bitcs-886	87	14	model	model	NOUN
bitcs-886	87	15	built	build	VERB
bitcs-886	87	16	on	on	ADP
bitcs-886	87	17	,	,	PUNCT
bitcs-886	87	18	and	and	CCONJ
bitcs-886	87	19	classifications	classification	NOUN
bitcs-886	87	20	that	that	PRON
bitcs-886	87	21	are	be	AUX
bitcs-886	87	22	accurate	accurate	ADJ
bitcs-886	87	23	(	(	PUNCT
bitcs-886	87	24	model	model	NOUN
bitcs-886	87	25	performance	performance	NOUN
bitcs-886	87	26	)	)	PUNCT
bitcs-886	87	27	so	so	SCONJ
bitcs-886	87	28	they	they	PRON
bitcs-886	87	29	can	can	AUX
bitcs-886	87	30	be	be	AUX
bitcs-886	87	31	evaluated	evaluate	VERB
bitcs-886	87	32	[	[	X
bitcs-886	87	33	6	6	NUM
bitcs-886	87	34	]	]	PUNCT
bitcs-886	87	35	.	.	PUNCT
bitcs-886	88	1	a.	a.	NOUN
bitcs-886	88	2	there	there	PRON
bitcs-886	88	3	are	be	VERB
bitcs-886	88	4	no	no	DET
bitcs-886	88	5	other	other	ADJ
bitcs-886	88	6	attributions	attribution	NOUN
bitcs-886	88	7	in	in	ADP
bitcs-886	88	8	the	the	DET
bitcs-886	88	9	separate	separate	ADJ
bitcs-886	88	10	post	post	PROPN
bitcs-886	88	11	b.	b.	PROPN
bitcs-886	88	12	there	there	PRON
bitcs-886	88	13	are	be	VERB
bitcs-886	88	14	no	no	DET
bitcs-886	88	15	records	record	NOUN
bitcs-886	88	16	inbranch	inbranch	VERB
bitcs-886	88	17	an	an	DET
bitcs-886	88	18	empty	empty	ADJ
bitcs-886	88	19	e	e	NOUN
bitcs-886	88	20	,	,	PUNCT
bitcs-886	88	21	k	k	PROPN
bitcs-886	88	22	neighrest	neighr	ADJ
bitcs-886	88	23	neighbor	neighbor	NOUN
bitcs-886	88	24	k	k	PROPN
bitcs-886	88	25	-	-	PUNCT
bitcs-886	88	26	nearest	near	ADJ
bitcs-886	88	27	neighbor	neighbor	NOUN
bitcs-886	88	28	(	(	PUNCT
bitcs-886	88	29	knn	knn	PROPN
bitcs-886	88	30	)	)	PUNCT
bitcs-886	88	31	is	be	AUX
bitcs-886	88	32	included	include	VERB
bitcs-886	88	33	in	in	ADP
bitcs-886	88	34	the	the	DET
bitcs-886	88	35	instancebased	instancebased	ADJ
bitcs-886	88	36	learning	learning	NOUN
bitcs-886	88	37	group	group	NOUN
bitcs-886	88	38	.	.	PUNCT
bitcs-886	89	1	this	this	DET
bitcs-886	89	2	algorithm	algorithm	NOUN
bitcs-886	89	3	is	be	AUX
bitcs-886	89	4	also	also	ADV
bitcs-886	89	5	one	one	NUM
bitcs-886	89	6	of	of	ADP
bitcs-886	89	7	thetechniques	thetechnique	NOUN
bitcs-886	89	8	lazy	lazy	ADJ
bitcs-886	89	9	learning	learning	NOUN
bitcs-886	89	10	.	.	PUNCT
bitcs-886	90	1	knn	knn	PROPN
bitcs-886	90	2	searches	search	VERB
bitcs-886	90	3	the	the	DET
bitcs-886	90	4	k	k	PROPN
bitcs-886	90	5	group	group	NOUN
bitcs-886	90	6	of	of	ADP
bitcs-886	90	7	objects	object	NOUN
bitcs-886	90	8	in	in	ADP
bitcs-886	90	9	the	the	DET
bitcs-886	90	10	training	training	NOUN
bitcs-886	90	11	data	datum	NOUN
bitcs-886	90	12	that	that	PRON
bitcs-886	90	13	is	be	AUX
bitcs-886	90	14	closest	close	ADJ
bitcs-886	90	15	(	(	PUNCT
bitcs-886	90	16	similar	similar	ADJ
bitcs-886	90	17	)	)	PUNCT
bitcs-886	90	18	to	to	ADP
bitcs-886	90	19	the	the	DET
bitcs-886	90	20	object	object	NOUN
bitcs-886	90	21	in	in	ADP
bitcs-886	90	22	new	new	ADJ
bitcs-886	90	23	data	datum	NOUN
bitcs-886	90	24	or	or	CCONJ
bitcs-886	90	25	testing	testing	NOUN
bitcs-886	90	26	data	datum	NOUN
bitcs-886	90	27	(	(	PUNCT
bitcs-886	90	28	similar	similar	ADJ
bitcs-886	90	29	)	)	PUNCT
bitcs-886	90	30	to	to	ADP
bitcs-886	90	31	the	the	DET
bitcs-886	90	32	object	object	NOUN
bitcs-886	90	33	in	in	ADP
bitcs-886	90	34	new	new	ADJ
bitcs-886	90	35	data	datum	NOUN
bitcs-886	90	36	ordata	ordata	NOUN
bitcs-886	90	37	testing	testing	NOUN
bitcs-886	90	38	[	[	X
bitcs-886	90	39	15	15	NUM
bitcs-886	90	40	]	]	PUNCT
bitcs-886	90	41	.	.	PUNCT
bitcs-886	91	1	case	case	NOUN
bitcs-886	91	2	in	in	ADP
bitcs-886	91	3	point	point	NOUN
bitcs-886	91	4	,	,	PUNCT
bitcs-886	91	5	for	for	ADP
bitcs-886	91	6	example	example	NOUN
bitcs-886	91	7	it	it	PRON
bitcs-886	91	8	is	be	AUX
bitcs-886	91	9	desirable	desirable	ADJ
bitcs-886	91	10	to	to	PART
bitcs-886	91	11	find	find	VERB
bitcs-886	91	12	a	a	DET
bitcs-886	91	13	solution	solution	NOUN
bitcs-886	91	14	to	to	ADP
bitcs-886	91	15	the	the	DET
bitcs-886	91	16	problem	problem	NOUN
bitcs-886	91	17	of	of	ADP
bitcs-886	91	18	a	a	DET
bitcs-886	91	19	new	new	ADJ
bitcs-886	91	20	patient	patient	NOUN
bitcs-886	91	21	by	by	ADP
bitcs-886	91	22	using	use	VERB
bitcs-886	91	23	a	a	DET
bitcs-886	91	24	solution	solution	NOUN
bitcs-886	91	25	from	from	ADP
bitcs-886	91	26	an	an	DET
bitcs-886	91	27	old	old	ADJ
bitcs-886	91	28	patient	patient	NOUN
bitcs-886	91	29	.	.	PUNCT
bitcs-886	92	1	to	to	PART
bitcs-886	92	2	find	find	VERB
bitcs-886	92	3	solutions	solution	NOUN
bitcs-886	92	4	from	from	ADP
bitcs-886	92	5	new	new	ADJ
bitcs-886	92	6	patients	patient	NOUN
bitcs-886	92	7	,	,	PUNCT
bitcs-886	92	8	closeness	closeness	NOUN
bitcs-886	92	9	to	to	ADP
bitcs-886	92	10	old	old	ADJ
bitcs-886	92	11	patient	patient	ADJ
bitcs-886	92	12	cases	case	NOUN
bitcs-886	92	13	is	be	AUX
bitcs-886	92	14	used	use	VERB
bitcs-886	92	15	,	,	PUNCT
bitcs-886	92	16	solutions	solution	NOUN
bitcs-886	92	17	from	from	ADP
bitcs-886	92	18	old	old	ADJ
bitcs-886	92	19	cases	case	NOUN
bitcs-886	92	20	that	that	PRON
bitcs-886	92	21	have	have	VERB
bitcs-886	92	22	closeness	closeness	NOUN
bitcs-886	92	23	to	to	ADP
bitcs-886	92	24	new	new	ADJ
bitcs-886	92	25	cases	case	NOUN
bitcs-886	92	26	are	be	AUX
bitcs-886	92	27	used	use	VERB
bitcs-886	92	28	as	as	ADP
bitcs-886	92	29	a	a	DET
bitcs-886	92	30	solution	solution	NOUN
bitcs-886	92	31	.	.	PUNCT
bitcs-886	93	1	there	there	PRON
bitcs-886	93	2	were	be	VERB
bitcs-886	93	3	new	new	ADJ
bitcs-886	93	4	patients	patient	NOUN
bitcs-886	93	5	and	and	CCONJ
bitcs-886	93	6	4	4	NUM
bitcs-886	93	7	old	old	ADJ
bitcs-886	93	8	patients	patient	NOUN
bitcs-886	93	9	,	,	PUNCT
bitcs-886	93	10	namely	namely	ADV
bitcs-886	93	11	p	p	X
bitcs-886	93	12	,	,	PUNCT
bitcs-886	93	13	q	q	ADJ
bitcs-886	93	14	,	,	PUNCT
bitcs-886	93	15	r	r	NOUN
bitcs-886	93	16	,	,	PUNCT
bitcs-886	93	17	and	and	CCONJ
bitcs-886	93	18	s	s	VERB
bitcs-886	93	19	(	(	PUNCT
bitcs-886	93	20	figure	figure	NOUN
bitcs-886	93	21	2	2	NUM
bitcs-886	93	22	)	)	PUNCT
bitcs-886	93	23	.	.	PUNCT
bitcs-886	93	24	.	.	PUNCT
bitcs-886	94	1	when	when	SCONJ
bitcs-886	94	2	there	there	PRON
bitcs-886	94	3	is	be	VERB
bitcs-886	94	4	a	a	DET
bitcs-886	94	5	new	new	ADJ
bitcs-886	94	6	patient	patient	NOUN
bitcs-886	94	7	,	,	PUNCT
bitcs-886	94	8	the	the	DET
bitcs-886	94	9	solution	solution	NOUN
bitcs-886	94	10	is	be	AUX
bitcs-886	94	11	taken	take	VERB
bitcs-886	94	12	from	from	ADP
bitcs-886	94	13	the	the	DET
bitcs-886	94	14	case	case	NOUN
bitcs-886	94	15	of	of	ADP
bitcs-886	94	16	the	the	DET
bitcs-886	94	17	elderly	elderly	ADJ
bitcs-886	94	18	patient	patient	NOUN
bitcs-886	94	19	who	who	PRON
bitcs-886	94	20	has	have	VERB
bitcs-886	94	21	the	the	DET
bitcs-886	94	22	greatest	great	ADJ
bitcs-886	94	23	kinship	kinship	NOUN
bitcs-886	94	24	.	.	PUNCT
bitcs-886	95	1	fig	fig	NOUN
bitcs-886	95	2	.	.	PUNCT
bitcs-886	96	1	1	1	NUM
bitcs-886	96	2	ilustrasi	ilustrasi	PROPN
bitcs-886	96	3	knn	knn	PROPN
bitcs-886	96	4	for	for	ADP
bitcs-886	96	5	example	example	NOUN
bitcs-886	96	6	,	,	PUNCT
bitcs-886	96	7	d1	d1	PROPN
bitcs-886	96	8	distance	distance	NOUN
bitcs-886	96	9	between	between	ADP
bitcs-886	96	10	new	new	ADJ
bitcs-886	96	11	patients	patient	NOUN
bitcs-886	96	12	and	and	CCONJ
bitcs-886	96	13	patient	patient	ADJ
bitcs-886	96	14	p	p	NOUN
bitcs-886	96	15	,	,	PUNCT
bitcs-886	96	16	d2	d2	NOUN
bitcs-886	96	17	distance	distance	NOUN
bitcs-886	96	18	between	between	ADP
bitcs-886	96	19	new	new	ADJ
bitcs-886	96	20	patients	patient	NOUN
bitcs-886	96	21	and	and	CCONJ
bitcs-886	96	22	sick	sick	ADJ
bitcs-886	96	23	q	q	NOUN
bitcs-886	96	24	,	,	PUNCT
bitcs-886	96	25	d3	d3	VERB
bitcs-886	96	26	distance	distance	NOUN
bitcs-886	96	27	between	between	ADP
bitcs-886	96	28	new	new	ADJ
bitcs-886	96	29	patients	patient	NOUN
bitcs-886	96	30	and	and	CCONJ
bitcs-886	96	31	sick	sick	ADJ
bitcs-886	96	32	r	r	NOUN
bitcs-886	96	33	,	,	PUNCT
bitcs-886	96	34	d4	d4	PROPN
bitcs-886	96	35	distance	distance	NOUN
bitcs-886	96	36	between	between	ADP
bitcs-886	96	37	new	new	ADJ
bitcs-886	96	38	patients	patient	NOUN
bitcs-886	96	39	and	and	CCONJ
bitcs-886	96	40	patient	patient	ADJ
bitcs-886	96	41	s.	s.	PROPN
bitcs-886	96	42	the	the	DET
bitcs-886	96	43	picture	picture	NOUN
bitcs-886	96	44	shows	show	VERB
bitcs-886	96	45	that	that	SCONJ
bitcs-886	96	46	d2	d2	PROPN
bitcs-886	96	47	is	be	AUX
bitcs-886	96	48	closest	close	ADJ
bitcs-886	96	49	to	to	ADP
bitcs-886	96	50	the	the	DET
bitcs-886	96	51	new	new	ADJ
bitcs-886	96	52	case	case	NOUN
bitcs-886	96	53	.	.	PUNCT
bitcs-886	97	1	thus	thus	ADV
bitcs-886	97	2	,	,	PUNCT
bitcs-886	97	3	the	the	DET
bitcs-886	97	4	patient	patient	ADJ
bitcs-886	97	5	q	q	NOUN
bitcs-886	97	6	solution	solution	NOUN
bitcs-886	97	7	will	will	AUX
bitcs-886	97	8	be	be	AUX
bitcs-886	97	9	used	use	VERB
bitcs-886	97	10	as	as	ADP
bitcs-886	97	11	a	a	DET
bitcs-886	97	12	solution	solution	NOUN
bitcs-886	97	13	for	for	ADP
bitcs-886	97	14	the	the	DET
bitcs-886	97	15	new	new	ADJ
bitcs-886	97	16	patient	patient	NOUN
bitcs-886	97	17	.	.	PUNCT
bitcs-886	98	1	(	(	PUNCT
bitcs-886	98	2	henny	henny	PROPN
bitcs-886	98	3	leidiyana	leidiyana	PROPN
bitcs-886	98	4	,	,	PUNCT
bitcs-886	98	5	2013	2013	NUM
bitcs-886	98	6	)	)	PUNCT
bitcs-886	98	7	euclidean	euclidean	ADJ
bitcs-886	98	8	distance	distance	NOUN
bitcs-886	98	9	and	and	CCONJ
bitcs-886	98	10	manhattan	manhattan	PROPN
bitcs-886	98	11	distance	distance	NOUN
bitcs-886	98	12	(	(	PUNCT
bitcs-886	98	13	city	city	NOUN
bitcs-886	98	14	block	block	NOUN
bitcs-886	98	15	distance	distance	NOUN
bitcs-886	98	16	)	)	PUNCT
bitcs-886	98	17	are	be	AUX
bitcs-886	98	18	ways	way	NOUN
bitcs-886	98	19	to	to	PART
bitcs-886	98	20	measure	measure	VERB
bitcs-886	98	21	the	the	DET
bitcs-886	98	22	proximity	proximity	NOUN
bitcs-886	98	23	between	between	ADP
bitcs-886	98	24	new	new	ADJ
bitcs-886	98	25	data	datum	NOUN
bitcs-886	98	26	and	and	CCONJ
bitcs-886	98	27	old	old	ADJ
bitcs-886	98	28	data	datum	NOUN
bitcs-886	98	29	(	(	PUNCT
bitcs-886	98	30	training	training	NOUN
bitcs-886	98	31	data	datum	NOUN
bitcs-886	98	32	)	)	PUNCT
bitcs-886	98	33	,	,	PUNCT
bitcs-886	98	34	the	the	DET
bitcs-886	98	35	most	most	ADV
bitcs-886	98	36	commonly	commonly	ADV
bitcs-886	98	37	used	use	VERB
bitcs-886	98	38	is	be	AUX
bitcs-886	98	39	euclidean	euclidean	ADJ
bitcs-886	98	40	distance	distance	NOUN
bitcs-886	98	41	.	.	PUNCT
bitcs-886	99	1	[	[	X
bitcs-886	99	2	2	2	NUM
bitcs-886	99	3	]	]	PUNCT
bitcs-886	99	4	,	,	PUNCT
bitcs-886	99	5	namely	namely	ADV
bitcs-886	99	6	:	:	PUNCT
bitcs-886	99	7	where	where	SCONJ
bitcs-886	99	8	a	a	DET
bitcs-886	99	9	=	=	NOUN
bitcs-886	99	10	a1	a1	NOUN
bitcs-886	99	11	,	,	PUNCT
bitcs-886	99	12	a2	a2	PROPN
bitcs-886	99	13	,	,	PUNCT
bitcs-886	99	14	...	...	PUNCT
bitcs-886	99	15	,	,	PUNCT
bitcs-886	99	16	an	an	PRON
bitcs-886	99	17	,	,	PUNCT
bitcs-886	99	18	and	and	CCONJ
bitcs-886	99	19	b	b	X
bitcs-886	99	20	=	=	SYM
bitcs-886	99	21	b1	b1	PROPN
bitcs-886	99	22	,	,	PUNCT
bitcs-886	99	23	b2	b2	NOUN
bitcs-886	99	24	,	,	PUNCT
bitcs-886	99	25	...	...	PUNCT
bitcs-886	99	26	,	,	PUNCT
bitcs-886	99	27	bn	bn	INTJ
bitcs-886	99	28	represents	represent	VERB
bitcs-886	99	29	the	the	DET
bitcs-886	99	30	n	n	NUM
bitcs-886	99	31	attribute	attribute	NOUN
bitcs-886	99	32	values	value	NOUN
bitcs-886	99	33	of	of	ADP
bitcs-886	99	34	the	the	DET
bitcs-886	99	35	two	two	NUM
bitcs-886	99	36	records	record	NOUN
bitcs-886	99	37	.	.	PUNCT
bitcs-886	100	1	for	for	ADP
bitcs-886	100	2	attributes	attribute	NOUN
bitcs-886	100	3	with	with	ADP
bitcs-886	100	4	category	category	NOUN
bitcs-886	100	5	values	value	NOUN
bitcs-886	100	6	,	,	PUNCT
bitcs-886	100	7	measurements	measurement	NOUN
bitcs-886	100	8	with	with	ADP
bitcs-886	100	9	euclidean	euclidean	ADJ
bitcs-886	100	10	distance	distance	NOUN
bitcs-886	100	11	do	do	AUX
bitcs-886	100	12	not	not	PART
bitcs-886	100	13	match	match	VERB
bitcs-886	100	14	.	.	PUNCT
bitcs-886	101	1	instead	instead	ADV
bitcs-886	101	2	,	,	PUNCT
bitcs-886	101	3	the	the	DET
bitcs-886	101	4	following	follow	VERB
bitcs-886	101	5	functions	function	NOUN
bitcs-886	101	6	are	be	AUX
bitcs-886	101	7	used	use	VERB
bitcs-886	101	8	[	[	PUNCT
bitcs-886	101	9	10	10	NUM
bitcs-886	101	10	]	]	X
bitcs-886	101	11	:	:	PUNCT
bitcs-886	101	12	different	different	ADJ
bitcs-886	101	13	(	(	PUNCT
bitcs-886	101	14	a	a	DET
bitcs-886	101	15	,	,	PUNCT
bitcs-886	101	16	b	b	NOUN
bitcs-886	101	17	)	)	PUNCT
bitcs-886	101	18	{	{	PUNCT
bitcs-886	101	19	0	0	NUM
bitcs-886	101	20	if	if	SCONJ
bitcs-886	101	21	ai	ai	VERB
bitcs-886	101	22	=	=	ADJ
bitcs-886	101	23	bi	bi	NOUN
bitcs-886	101	24	=	=	NOUN
bitcs-886	101	25	1	1	NUM
bitcs-886	101	26	besides	besides	SCONJ
bitcs-886	101	27	where	where	SCONJ
bitcs-886	101	28	ai	ai	VERB
bitcs-886	101	29	and	and	CCONJ
bitcs-886	101	30	bi	bi	NOUN
bitcs-886	101	31	are	be	AUX
bitcs-886	101	32	the	the	DET
bitcs-886	101	33	category	category	NOUN
bitcs-886	101	34	values	value	NOUN
bitcs-886	101	35	.	.	PUNCT
bitcs-886	102	1	if	if	SCONJ
bitcs-886	102	2	the	the	DET
bitcs-886	102	3	attribute	attribute	NOUN
bitcs-886	102	4	value	value	NOUN
bitcs-886	102	5	between	between	ADP
bitcs-886	102	6	the	the	DET
bitcs-886	102	7	two	two	NUM
bitcs-886	102	8	records	record	NOUN
bitcs-886	102	9	being	be	AUX
bitcs-886	102	10	compared	compare	VERB
bitcs-886	102	11	is	be	AUX
bitcs-886	102	12	the	the	DET
bitcs-886	102	13	same	same	ADJ
bitcs-886	102	14	,	,	PUNCT
bitcs-886	102	15	the	the	DET
bitcs-886	102	16	distance	distance	NOUN
bitcs-886	102	17	value	value	NOUN
bitcs-886	102	18	is	be	AUX
bitcs-886	102	19	0	0	NUM
bitcs-886	102	20	,	,	PUNCT
bitcs-886	102	21	the	the	DET
bitcs-886	102	22	meaning	meaning	NOUN
bitcs-886	102	23	is	be	AUX
bitcs-886	102	24	similar	similar	ADJ
bitcs-886	102	25	,	,	PUNCT
bitcs-886	102	26	on	on	ADP
bitcs-886	102	27	the	the	DET
bitcs-886	102	28	contrary	contrary	NOUN
bitcs-886	102	29	,	,	PUNCT
bitcs-886	102	30	if	if	SCONJ
bitcs-886	102	31	it	it	PRON
bitcs-886	102	32	is	be	AUX
bitcs-886	102	33	different	different	ADJ
bitcs-886	102	34	then	then	ADV
bitcs-886	102	35	the	the	DET
bitcs-886	102	36	value	value	NOUN
bitcs-886	102	37	of	of	ADP
bitcs-886	102	38	proximity	proximity	NOUN
bitcs-886	102	39	is	be	AUX
bitcs-886	102	40	1	1	NUM
bitcs-886	102	41	,	,	PUNCT
bitcs-886	102	42	it	it	PRON
bitcs-886	102	43	means	mean	VERB
bitcs-886	102	44	it	it	PRON
bitcs-886	102	45	is	be	AUX
bitcs-886	102	46	not	not	PART
bitcs-886	102	47	similar	similar	ADJ
bitcs-886	102	48	at	at	ADV
bitcs-886	102	49	all	all	ADV
bitcs-886	102	50	.	.	PUNCT
bitcs-886	103	1	for	for	ADP
bitcs-886	103	2	example	example	NOUN
bitcs-886	103	3	the	the	DET
bitcs-886	103	4	color	color	NOUN
bitcs-886	103	5	attribute	attribute	NOUN
bitcs-886	103	6	with	with	ADP
bitcs-886	103	7	red	red	ADJ
bitcs-886	103	8	and	and	CCONJ
bitcs-886	103	9	red	red	ADJ
bitcs-886	103	10	values	value	NOUN
bitcs-886	103	11	,	,	PUNCT
bitcs-886	103	12	the	the	DET
bitcs-886	103	13	value	value	NOUN
bitcs-886	103	14	of	of	ADP
bitcs-886	103	15	proximity	proximity	NOUN
bitcs-886	103	16	is	be	AUX
bitcs-886	103	17	0	0	NUM
bitcs-886	103	18	,	,	PUNCT
bitcs-886	103	19	if	if	SCONJ
bitcs-886	103	20	red	red	ADJ
bitcs-886	103	21	and	and	CCONJ
bitcs-886	103	22	blue	blue	NOUN
bitcs-886	103	23	then	then	ADV
bitcs-886	103	24	the	the	DET
bitcs-886	103	25	value	value	NOUN
bitcs-886	103	26	of	of	ADP
bitcs-886	103	27	proximity	proximity	NOUN
bitcs-886	103	28	1	1	NUM
bitcs-886	103	29	.	.	PUNCT
bitcs-886	104	1	normalization	normalization	NOUN
bitcs-886	104	2	is	be	AUX
bitcs-886	104	3	done	do	VERB
bitcs-886	104	4	if	if	SCONJ
bitcs-886	104	5	measuring	measure	VERB
bitcs-886	104	6	the	the	DET
bitcs-886	104	7	distance	distance	NOUN
bitcs-886	104	8	from	from	ADP
bitcs-886	104	9	attributes	attribute	NOUN
bitcs-886	104	10	that	that	PRON
bitcs-886	104	11	have	have	VERB
bitcs-886	104	12	large	large	ADJ
bitcs-886	104	13	values	value	NOUN
bitcs-886	104	14	,	,	PUNCT
bitcs-886	104	15	such	such	ADJ
bitcs-886	104	16	as	as	ADP
bitcs-886	104	17	income	income	NOUN
bitcs-886	104	18	attributes	attribute	NOUN
bitcs-886	104	19	.	.	PUNCT
bitcs-886	105	1	normalization	normalization	NOUN
bitcs-886	105	2	can	can	AUX
bitcs-886	105	3	be	be	AUX
bitcs-886	105	4	done	do	VERB
bitcs-886	105	5	with	with	ADP
bitcs-886	105	6	min	min	ADJ
bitcs-886	105	7	-	-	ADJ
bitcs-886	105	8	max	max	NOUN
bitcs-886	105	9	normalization	normalization	NOUN
bitcs-886	105	10	or	or	CCONJ
bitcs-886	105	11	z	z	NOUN
bitcs-886	105	12	-	-	PUNCT
bitcs-886	105	13	score	score	NOUN
bitcs-886	105	14	standardization	standardization	NOUN
bitcs-886	105	15	[	[	X
bitcs-886	105	16	10	10	NUM
bitcs-886	105	17	]	]	PUNCT
bitcs-886	105	18	.	.	PUNCT
bitcs-886	106	1	if	if	SCONJ
bitcs-886	106	2	thedata	thedata	ADJ
bitcs-886	106	3	training	training	NOUN
bitcs-886	106	4	consists	consist	VERB
bitcs-886	106	5	of	of	ADP
bitcs-886	106	6	a	a	DET
bitcs-886	106	7	mixture	mixture	NOUN
bitcs-886	106	8	of	of	ADP
bitcs-886	106	9	numerical	numerical	ADJ
bitcs-886	106	10	and	and	CCONJ
bitcs-886	106	11	category	category	NOUN
bitcs-886	106	12	attributes	attribute	VERB
bitcs-886	106	13	,	,	PUNCT
bitcs-886	106	14	the	the	DET
bitcs-886	106	15	use	use	NOUN
bitcs-886	106	16	of	of	ADP
bitcs-886	106	17	min	min	ADJ
bitcs-886	106	18	-	-	ADJ
bitcs-886	106	19	max	max	PROPN
bitcs-886	106	20	normalization	normalization	NOUN
bitcs-886	106	21	is	be	AUX
bitcs-886	106	22	preferred	prefer	VERB
bitcs-886	106	23	[	[	X
bitcs-886	106	24	10	10	NUM
bitcs-886	106	25	]	]	PUNCT
bitcs-886	106	26	.	.	PUNCT
bitcs-886	107	1	to	to	PART
bitcs-886	107	2	calculate	calculate	VERB
bitcs-886	107	3	the	the	DET
bitcs-886	107	4	similarity	similarity	NOUN
bitcs-886	107	5	of	of	ADP
bitcs-886	107	6	cases	case	NOUN
bitcs-886	107	7	,	,	PUNCT
bitcs-886	107	8	a	a	DET
bitcs-886	107	9	formula	formula	NOUN
bitcs-886	107	10	is	be	AUX
bitcs-886	107	11	used	use	VERB
bitcs-886	107	12	[	[	PUNCT
bitcs-886	107	13	9	9	NUM
bitcs-886	107	14	]	]	PUNCT
bitcs-886	107	15	:	:	PUNCT
bitcs-886	107	16	note	note	VERB
bitcs-886	107	17	:	:	PUNCT
bitcs-886	108	1	p	p	X
bitcs-886	108	2	=	=	PUNCT
bitcs-886	108	3	new	new	ADJ
bitcs-886	108	4	cases	case	NOUN
bitcs-886	108	5	q	q	NOUN
bitcs-886	108	6	=	=	NUM
bitcs-886	108	7	cases	case	NOUN
bitcs-886	108	8	in	in	ADP
bitcs-886	108	9	storage	storage	NOUN
bitcs-886	108	10	n	n	NOUN
bitcs-886	108	11	=	=	NOUN
bitcs-886	108	12	number	number	NOUN
bitcs-886	108	13	of	of	ADP
bitcs-886	108	14	attributes	attribute	NOUN
bitcs-886	108	15	in	in	ADP
bitcs-886	108	16	each	each	DET
bitcs-886	108	17	case	case	NOUN
bitcs-886	109	1	i	i	PRON
bitcs-886	109	2	=	=	PUNCT
bitcs-886	109	3	individual	individual	ADJ
bitcs-886	109	4	attributes	attribute	VERB
bitcs-886	109	5	between	between	ADP
bitcs-886	109	6	1	1	NUM
bitcs-886	109	7	to	to	ADP
bitcs-886	109	8	n	n	PROPN
bitcs-886	109	9	f	f	NOUN
bitcs-886	109	10	=	=	NOUN
bitcs-886	109	11	function	function	NOUN
bitcs-886	109	12	similarity	similarity	NOUN
bitcs-886	109	13	attribute	attribute	NOUN
bitcs-886	109	14	i	i	PRON
bitcs-886	109	15	between	between	ADP
bitcs-886	109	16	cases	case	NOUN
bitcs-886	109	17	p	p	NOUN
bitcs-886	109	18	and	and	CCONJ
bitcs-886	109	19	case	case	NOUN
bitcs-886	109	20	q	q	X
bitcs-886	109	21	w	w	NOUN
bitcs-886	109	22	=	=	NOUN
bitcs-886	109	23	weight	weight	NOUN
bitcs-886	109	24	given	give	VERB
bitcs-886	109	25	to	to	ADP
bitcs-886	109	26	i	i	PRON
bitcs-886	109	27	attribute	attribute	VERB
bitcs-886	109	28	e.	e.	PROPN
bitcs-886	109	29	evaluation	evaluation	PROPN
bitcs-886	109	30	and	and	CCONJ
bitcs-886	109	31	validation	validation	NOUN
bitcs-886	109	32	of	of	ADP
bitcs-886	109	33	data	datum	NOUN
bitcs-886	109	34	mining	mining	NOUN
bitcs-886	109	35	prediction	prediction	NOUN
bitcs-886	109	36	methods	method	NOUN
bitcs-886	109	37	in	in	ADP
bitcs-886	109	38	this	this	DET
bitcs-886	109	39	study	study	NOUN
bitcs-886	109	40	cross	cross	NOUN
bitcs-886	109	41	validation	validation	NOUN
bitcs-886	109	42	,	,	PUNCT
bitcs-886	109	43	confusion	confusion	NOUN
bitcs-886	109	44	matrix	matrix	NOUN
bitcs-886	109	45	,	,	PUNCT
bitcs-886	109	46	and	and	CCONJ
bitcs-886	109	47	roc	roc	PROPN
bitcs-886	109	48	(	(	PUNCT
bitcs-886	109	49	curvesreceiver	curvesreceiver	PROPN
bitcs-886	109	50	operating	operating	NOUN
bitcs-886	109	51	haracteristic	haracteristic	NOUN
bitcs-886	109	52	)	)	PUNCT
bitcs-886	109	53	curve	curve	NOUN
bitcs-886	109	54	methods	method	NOUN
bitcs-886	109	55	are	be	AUX
bitcs-886	109	56	used	use	VERB
bitcs-886	109	57	for	for	ADP
bitcs-886	109	58	evaluation	evaluation	NOUN
bitcs-886	109	59	and	and	CCONJ
bitcs-886	109	60	validation	validation	NOUN
bitcs-886	109	61	.	.	PUNCT
bitcs-886	110	1	1	1	X
bitcs-886	110	2	.	.	X
bitcs-886	110	3	cross	cross	VERB
bitcs-886	110	4	validation	validation	NOUN
bitcs-886	110	5	to	to	PART
bitcs-886	110	6	predict	predict	VERB
bitcs-886	110	7	the	the	DET
bitcs-886	110	8	error	error	NOUN
bitcs-886	110	9	rate	rate	NOUN
bitcs-886	110	10	standard	standard	ADJ
bitcs-886	110	11	testing	testing	NOUN
bitcs-886	110	12	is	be	AUX
bitcs-886	110	13	done	do	VERB
bitcs-886	110	14	.	.	PUNCT
bitcs-886	111	1	in	in	ADP
bitcs-886	111	2	getting	get	VERB
bitcs-886	111	3	the	the	DET
bitcs-886	111	4	overall	overall	ADJ
bitcs-886	111	5	error	error	NOUN
bitcs-886	111	6	rate	rate	NOUN
bitcs-886	111	7	,	,	PUNCT
bitcs-886	111	8	the	the	DET
bitcs-886	111	9	training	training	NOUN
bitcs-886	111	10	data	datum	NOUN
bitcs-886	111	11	is	be	AUX
bitcs-886	111	12	randomly	randomly	ADV
bitcs-886	111	13	divided	divide	VERB
bitcs-886	111	14	into	into	ADP
bitcs-886	111	15	several	several	ADJ
bitcs-886	111	16	parts	part	NOUN
bitcs-886	111	17	with	with	ADP
bitcs-886	111	18	the	the	DET
bitcs-886	111	19	same	same	ADJ
bitcs-886	111	20	comparison	comparison	NOUN
bitcs-886	111	21	then	then	ADV
bitcs-886	111	22	the	the	DET
bitcs-886	111	23	error	error	NOUN
bitcs-886	111	24	rate	rate	NOUN
bitcs-886	111	25	is	be	AUX
bitcs-886	111	26	calculated	calculate	VERB
bitcs-886	111	27	section	section	NOUN
bitcs-886	111	28	by	by	ADP
bitcs-886	111	29	section	section	NOUN
bitcs-886	111	30	,	,	PUNCT
bitcs-886	111	31	then	then	ADV
bitcs-886	111	32	calculate	calculate	VERB
bitcs-886	111	33	the	the	DET
bitcs-886	111	34	average	average	NOUN
bitcs-886	111	35	for	for	ADP
bitcs-886	111	36	all	all	DET
bitcs-886	111	37	error	error	NOUN
bitcs-886	111	38	rates	rate	NOUN
bitcs-886	111	39	2	2	NUM
bitcs-886	111	40	.	.	PUNCT
bitcs-886	111	41	confusion	confusion	NOUN
bitcs-886	111	42	matrix	matrix	NOUN
bitcs-886	111	43	table	table	NOUN
bitcs-886	111	44	2.1	2.1	NUM
bitcs-886	111	45	is	be	AUX
bitcs-886	111	46	the	the	DET
bitcs-886	111	47	method	method	NOUN
bitcs-886	111	48	used	use	VERB
bitcs-886	111	49	,	,	PUNCT
bitcs-886	111	50	one	one	NUM
bitcs-886	111	51	class	class	NOUN
bitcs-886	111	52	is	be	AUX
bitcs-886	111	53	considered	consider	VERB
bitcs-886	111	54	positive	positive	ADJ
bitcs-886	111	55	and	and	CCONJ
bitcs-886	111	56	the	the	DET
bitcs-886	111	57	other	other	ADJ
bitcs-886	111	58	negative	negative	NOUN
bitcs-886	111	59	,	,	PUNCT
bitcs-886	111	60	if	if	SCONJ
bitcs-886	111	61	the	the	DET
bitcs-886	111	62	dataset	dataset	NOUN
bitcs-886	111	63	consists	consist	VERB
bitcs-886	111	64	of	of	ADP
bitcs-886	111	65	only	only	ADV
bitcs-886	111	66	two	two	NUM
bitcs-886	111	67	classes	class	NOUN
bitcs-886	111	68	.	.	PUNCT
bitcs-886	112	1	percentage	percentage	NOUN
bitcs-886	112	2	of	of	ADP
bitcs-886	112	3	accuracy	accuracy	NOUN
bitcs-886	112	4	of	of	ADP
bitcs-886	112	5	data	datum	NOUN
bitcs-886	112	6	records	record	NOUN
bitcs-886	112	7	that	that	PRON
bitcs-886	112	8	are	be	AUX
bitcs-886	112	9	classified	classify	VERB
bitcs-886	112	10	correctly	correctly	ADV
bitcs-886	112	11	after	after	ADP
bitcs-886	112	12	testing	test	VERB
bitcs-886	112	13	the	the	DET
bitcs-886	112	14	classification	classification	NOUN
bitcs-886	112	15	results	result	NOUN
bitcs-886	112	16	is	be	AUX
bitcs-886	112	17	the	the	DET
bitcs-886	112	18	result	result	NOUN
bitcs-886	112	19	of	of	ADP
bitcs-886	112	20	evaluation	evaluation	NOUN
bitcs-886	112	21	with	with	ADP
bitcs-886	112	22	a	a	DET
bitcs-886	112	23	confusion	confusion	NOUN
bitcs-886	112	24	matrix	matrix	NOUN
bitcs-886	112	25	that	that	PRON
bitcs-886	112	26	has	have	VERB
bitcs-886	112	27	accuracy	accuracy	NOUN
bitcs-886	112	28	,	,	PUNCT
bitcs-886	112	29	precison	precison	NOUN
bitcs-886	112	30	,	,	PUNCT
bitcs-886	112	31	and	and	CCONJ
bitcs-886	112	32	recall.accuracy	recall.accuracy	NUM
bitcs-886	112	33	values	value	NOUN
bitcs-886	112	34	[	[	X
bitcs-886	112	35	7	7	NUM
bitcs-886	112	36	]	]	PUNCT
bitcs-886	112	37	.	.	PUNCT
bitcs-886	113	1	the	the	DET
bitcs-886	113	2	proportion	proportion	NOUN
bitcs-886	113	3	of	of	ADP
bitcs-886	113	4	positive	positive	ADJ
bitcs-886	113	5	predicted	predict	VERB
bitcs-886	113	6	cases	case	NOUN
bitcs-886	113	7	that	that	PRON
bitcs-886	113	8	are	be	AUX
bitcs-886	113	9	also	also	ADV
bitcs-886	113	10	true	true	ADJ
bitcs-886	113	11	positive	positive	ADJ
bitcs-886	113	12	on	on	ADP
bitcs-886	113	13	the	the	DET
bitcs-886	113	14	actual	actual	ADJ
bitcs-886	113	15	data	datum	NOUN
bitcs-886	113	16	is	be	AUX
bitcs-886	113	17	called	call	VERB
bitcs-886	113	18	precision	precision	NOUN
bitcs-886	113	19	or	or	CCONJ
bitcs-886	113	20	confidence	confidence	NOUN
bitcs-886	113	21	.	.	PUNCT
bitcs-886	114	1	the	the	DET
bitcs-886	114	2	proportion	proportion	NOUN
bitcs-886	114	3	of	of	ADP
bitcs-886	114	4	true	true	ADJ
bitcs-886	114	5	positive	positive	ADJ
bitcs-886	114	6	cases	case	NOUN
bitcs-886	114	7	that	that	PRON
bitcs-886	114	8	is	be	AUX
bitcs-886	114	9	correctly	correctly	ADV
bitcs-886	114	10	predicted	predict	VERB
bitcs-886	114	11	correctly	correctly	ADV
bitcs-886	114	12	is	be	AUX
bitcs-886	114	13	called	call	VERB
bitcs-886	114	14	recall	recall	NOUN
bitcs-886	114	15	or	or	CCONJ
bitcs-886	114	16	sensitivity	sensitivity	NOUN
bitcs-886	114	17	.	.	PUNCT
bitcs-886	115	1	[	[	X
bitcs-886	115	2	12	12	NUM
bitcs-886	115	3	]	]	PUNCT
bitcs-886	115	4	.	.	PUNCT
bitcs-886	116	1	table	table	NOUN
bitcs-886	116	2	1	1	NUM
bitcs-886	116	3	model	model	NOUN
bitcs-886	116	4	conflusion	conflusion	NOUN
bitcs-886	116	5	matrix	matrix	NOUN
bitcs-886	116	6	correct	correct	ADJ
bitcs-886	116	7	classification	classification	NOUN
bitcs-886	116	8	classified	classify	VERB
bitcs-886	116	9	as	as	ADP
bitcs-886	116	10	+	+	ADJ
bitcs-886	117	1	+	+	CCONJ
bitcs-886	117	2	true	true	ADJ
bitcs-886	117	3	positives	positive	NOUN
bitcs-886	117	4	false	false	ADJ
bitcs-886	117	5	negatives	negative	NOUN
bitcs-886	117	6	false	false	ADJ
bitcs-886	117	7	positives	positive	NOUN
bitcs-886	117	8	true	true	ADJ
bitcs-886	117	9	negatives	negative	NOUN
bitcs-886	117	10	30	30	NUM
bitcs-886	117	11	|	|	ADV
bitcs-886	117	12	vol.1	vol.1	PROPN
bitcs-886	117	13	no.2	no.2	PROPN
bitcs-886	117	14	,	,	PUNCT
bitcs-886	117	15	10	10	NUM
bitcs-886	117	16	july	july	PROPN
bitcs-886	117	17	2020	2020	NUM
bitcs-886	117	18	buana	buana	PROPN
bitcs-886	117	19	information	information	PROPN
bitcs-886	117	20	tchnology	tchnology	PROPN
bitcs-886	117	21	and	and	CCONJ
bitcs-886	117	22	computer	computer	NOUN
bitcs-886	117	23	sciences	science	NOUN
bitcs-886	117	24	(	(	PUNCT
bitcs-886	117	25	bit	bit	NOUN
bitcs-886	117	26	and	and	CCONJ
bitcs-886	117	27	cs	cs	ADJ
bitcs-886	117	28	)	)	PUNCT
bitcs-886	117	29	true	true	ADJ
bitcs-886	117	30	positive	positive	ADJ
bitcs-886	117	31	is	be	AUX
bitcs-886	117	32	the	the	DET
bitcs-886	117	33	number	number	NOUN
bitcs-886	117	34	of	of	ADP
bitcs-886	117	35	positive	positive	ADJ
bitcs-886	117	36	records	record	NOUN
bitcs-886	117	37	that	that	PRON
bitcs-886	117	38	are	be	AUX
bitcs-886	117	39	classified	classify	VERB
bitcs-886	117	40	positively	positively	ADV
bitcs-886	117	41	,	,	PUNCT
bitcs-886	117	42	false	false	ADJ
bitcs-886	117	43	positive	positive	ADJ
bitcs-886	117	44	is	be	AUX
bitcs-886	117	45	the	the	DET
bitcs-886	117	46	number	number	NOUN
bitcs-886	117	47	of	of	ADP
bitcs-886	117	48	negative	negative	ADJ
bitcs-886	117	49	records	record	NOUN
bitcs-886	117	50	that	that	PRON
bitcs-886	117	51	are	be	AUX
bitcs-886	117	52	classified	classify	VERB
bitcs-886	117	53	positively	positively	ADV
bitcs-886	117	54	,	,	PUNCT
bitcs-886	117	55	false	false	ADJ
bitcs-886	117	56	negative	negative	ADJ
bitcs-886	117	57	is	be	AUX
bitcs-886	117	58	the	the	DET
bitcs-886	117	59	number	number	NOUN
bitcs-886	117	60	of	of	ADP
bitcs-886	117	61	positive	positive	ADJ
bitcs-886	117	62	records	record	NOUN
bitcs-886	117	63	classified	classify	VERB
bitcs-886	117	64	as	as	ADP
bitcs-886	117	65	negative	negative	ADJ
bitcs-886	117	66	,	,	PUNCT
bitcs-886	117	67	true	true	ADJ
bitcs-886	117	68	negative	negative	ADJ
bitcs-886	117	69	is	be	AUX
bitcs-886	117	70	the	the	DET
bitcs-886	117	71	number	number	NOUN
bitcs-886	117	72	of	of	ADP
bitcs-886	117	73	negative	negative	ADJ
bitcs-886	117	74	records	record	NOUN
bitcs-886	117	75	classified	classify	VERB
bitcs-886	117	76	as	as	ADP
bitcs-886	117	77	negative	negative	ADJ
bitcs-886	117	78	,	,	PUNCT
bitcs-886	117	79	then	then	ADV
bitcs-886	117	80	enter	enter	VERB
bitcs-886	117	81	the	the	DET
bitcs-886	117	82	test	test	NOUN
bitcs-886	117	83	data	datum	NOUN
bitcs-886	117	84	.	.	PUNCT
bitcs-886	118	1	to	to	PART
bitcs-886	118	2	get	get	VERB
bitcs-886	118	3	the	the	DET
bitcs-886	118	4	amount	amount	NOUN
bitcs-886	118	5	of	of	ADP
bitcs-886	118	6	sensitivity	sensitivity	NOUN
bitcs-886	118	7	(	(	PUNCT
bitcs-886	118	8	recall	recall	NOUN
bitcs-886	118	9	)	)	PUNCT
bitcs-886	118	10	,	,	PUNCT
bitcs-886	118	11	specifity	specifity	NOUN
bitcs-886	118	12	,	,	PUNCT
bitcs-886	118	13	precision	precision	NOUN
bitcs-886	118	14	,	,	PUNCT
bitcs-886	118	15	and	and	CCONJ
bitcs-886	118	16	accuracy	accuracy	NOUN
bitcs-886	118	17	enter	enter	VERB
bitcs-886	118	18	the	the	DET
bitcs-886	118	19	value	value	NOUN
bitcs-886	118	20	of	of	ADP
bitcs-886	118	21	the	the	DET
bitcs-886	118	22	test	test	NOUN
bitcs-886	118	23	data	datum	NOUN
bitcs-886	118	24	into	into	ADP
bitcs-886	118	25	the	the	DET
bitcs-886	118	26	confusion	confusion	NOUN
bitcs-886	118	27	matrix	matrix	NOUN
bitcs-886	118	28	.	.	PUNCT
bitcs-886	119	1	sensitivity	sensitivity	NOUN
bitcs-886	119	2	is	be	AUX
bitcs-886	119	3	used	use	VERB
bitcs-886	119	4	to	to	PART
bitcs-886	119	5	compare	compare	VERB
bitcs-886	119	6	the	the	DET
bitcs-886	119	7	number	number	NOUN
bitcs-886	119	8	of	of	ADP
bitcs-886	119	9	t_pos	t_pos	PRON
bitcs-886	119	10	to	to	ADP
bitcs-886	119	11	the	the	DET
bitcs-886	119	12	number	number	NOUN
bitcs-886	119	13	of	of	ADP
bitcs-886	119	14	positive	positive	ADJ
bitcs-886	119	15	records	record	NOUN
bitcs-886	119	16	,	,	PUNCT
bitcs-886	119	17	while	while	SCONJ
bitcs-886	119	18	the	the	DET
bitcs-886	119	19	comparison	comparison	NOUN
bitcs-886	119	20	of	of	ADP
bitcs-886	119	21	the	the	DET
bitcs-886	119	22	number	number	NOUN
bitcs-886	119	23	of	of	ADP
bitcs-886	119	24	t_neg	t_neg	PROPN
bitcs-886	119	25	to	to	ADP
bitcs-886	119	26	the	the	DET
bitcs-886	119	27	number	number	NOUN
bitcs-886	119	28	of	of	ADP
bitcs-886	119	29	negative	negative	ADJ
bitcs-886	119	30	records	record	NOUN
bitcs-886	119	31	is	be	AUX
bitcs-886	119	32	used	use	VERB
bitcs-886	119	33	precision	precision	NOUN
bitcs-886	119	34	.	.	PUNCT
bitcs-886	120	1	the	the	DET
bitcs-886	120	2	equation	equation	NOUN
bitcs-886	120	3	below	below	ADV
bitcs-886	120	4	is	be	AUX
bitcs-886	120	5	used	use	VERB
bitcs-886	120	6	to	to	PART
bitcs-886	120	7	calculate	calculate	VERB
bitcs-886	120	8	it	it	PRON
bitcs-886	120	9	7	7	NUM
bitcs-886	120	10	]	]	PUNCT
bitcs-886	120	11	:	:	PUNCT
bitcs-886	120	12	sensitifity	sensitifity	NOUN
bitcs-886	120	13	=	=	SYM
bitcs-886	120	14	𝑡_𝑝𝑜𝑠	𝑡_𝑝𝑜𝑠	PROPN
bitcs-886	120	15	𝑝𝑜𝑠	𝑝𝑜𝑠	PROPN
bitcs-886	120	16	(	(	PUNCT
bitcs-886	120	17	3.0	3.0	NUM
bitcs-886	120	18	)	)	PUNCT
bitcs-886	120	19	specifity	specifity	NOUN
bitcs-886	120	20	=	=	SYM
bitcs-886	120	21	𝑡_𝑛𝑒𝑔	𝑡_𝑛𝑒𝑔	NOUN
bitcs-886	120	22	𝑛𝑒𝑔	𝑛𝑒𝑔	NOUN
bitcs-886	120	23	precision	precision	NOUN
bitcs-886	120	24	=	=	SYM
bitcs-886	120	25	𝑡_𝑝𝑜𝑠	𝑡_𝑝𝑜𝑠	PROPN
bitcs-886	120	26	𝑡_𝑝𝑜𝑠+𝑓_𝑝𝑜𝑠	𝑡_𝑝𝑜𝑠+𝑓_𝑝𝑜𝑠	PROPN
bitcs-886	120	27	accuracy	accuracy	NOUN
bitcs-886	120	28	=	=	SYM
bitcs-886	120	29	sensitivity	sensitivity	NOUN
bitcs-886	120	30	pos	pos	NOUN
bitcs-886	121	1	+	+	CCONJ
bitcs-886	121	2	(	(	PUNCT
bitcs-886	121	3	pos+neg	pos+neg	PROPN
bitcs-886	121	4	)	)	PUNCT
bitcs-886	121	5	specifity	specifity	NOUN
bitcs-886	121	6	neg	neg	NOUN
bitcs-886	121	7	(	(	PUNCT
bitcs-886	121	8	pos+neg	pos+neg	PROPN
bitcs-886	121	9	)	)	PUNCT
bitcs-886	121	10	remarks	remark	VERB
bitcs-886	121	11	:	:	PUNCT
bitcs-886	121	12	t_pos	t_pos	PRON
bitcs-886	121	13	=	=	PUNCT
bitcs-886	121	14	number	number	NOUN
bitcs-886	121	15	of	of	ADP
bitcs-886	121	16	true	true	ADJ
bitcs-886	121	17	positives	positive	NOUN
bitcs-886	121	18	t_neg	t_neg	NOUN
bitcs-886	121	19	=	=	NOUN
bitcs-886	121	20	number	number	NOUN
bitcs-886	121	21	of	of	ADP
bitcs-886	121	22	true	true	ADJ
bitcs-886	121	23	negative	negative	ADJ
bitcs-886	121	24	p	p	NOUN
bitcs-886	121	25	=	=	NOUN
bitcs-886	121	26	number	number	NOUN
bitcs-886	121	27	of	of	ADP
bitcs-886	121	28	record	record	NOUN
bitcs-886	121	29	positives	positive	NOUN
bitcs-886	121	30	n	n	NOUN
bitcs-886	121	31	=	=	NOUN
bitcs-886	121	32	number	number	NOUN
bitcs-886	121	33	of	of	ADP
bitcs-886	121	34	tuples	tuple	NOUN
bitcs-886	121	35	negatives	negative	NOUN
bitcs-886	121	36	f_pos	f_pos	NOUN
bitcs-886	121	37	=	=	NOUN
bitcs-886	121	38	number	number	NOUN
bitcs-886	121	39	of	of	ADP
bitcs-886	121	40	false	false	ADJ
bitcs-886	121	41	positives	positive	NOUN
bitcs-886	121	42	3	3	NUM
bitcs-886	121	43	.	.	X
bitcs-886	121	44	roc	roc	PROPN
bitcs-886	121	45	curve	curve	NOUN
bitcs-886	121	46	accuracy	accuracy	NOUN
bitcs-886	121	47	and	and	CCONJ
bitcs-886	121	48	visually	visually	ADV
bitcs-886	121	49	comparing	compare	VERB
bitcs-886	121	50	classifications	classification	NOUN
bitcs-886	121	51	can	can	AUX
bitcs-886	121	52	be	be	AUX
bitcs-886	121	53	demonstrated	demonstrate	VERB
bitcs-886	121	54	by	by	ADP
bitcs-886	121	55	the	the	DET
bitcs-886	121	56	roc	roc	PROPN
bitcs-886	121	57	curve	curve	NOUN
bitcs-886	121	58	.	.	PUNCT
bitcs-886	122	1	confusion	confusion	NOUN
bitcs-886	122	2	matrix	matrix	NOUN
bitcs-886	122	3	specified	specify	VERB
bitcs-886	122	4	by	by	ADP
bitcs-886	122	5	the	the	DET
bitcs-886	122	6	roc	roc	PROPN
bitcs-886	122	7	.	.	PROPN
bitcs-886	122	8	two	two	NUM
bitcs-886	122	9	-	-	PUNCT
bitcs-886	122	10	dimensional	dimensional	ADJ
bitcs-886	122	11	graphics	graphic	NOUN
bitcs-886	122	12	with	with	ADP
bitcs-886	122	13	horizontal	horizontal	ADJ
bitcs-886	122	14	lines	line	NOUN
bitcs-886	122	15	as	as	ADP
bitcs-886	122	16	false	false	ADJ
bitcs-886	122	17	positives	positive	NOUN
bitcs-886	122	18	and	and	CCONJ
bitcs-886	122	19	vertical	vertical	ADJ
bitcs-886	122	20	lines	line	NOUN
bitcs-886	122	21	as	as	ADP
bitcs-886	122	22	true	true	ADJ
bitcs-886	122	23	positive	positive	ADJ
bitcs-886	122	24	are	be	AUX
bitcs-886	122	25	called	call	VERB
bitcs-886	122	26	roc	roc	PROPN
bitcs-886	122	27	(	(	PUNCT
bitcs-886	122	28	vercellis	vercellis	PROPN
bitcs-886	122	29	,	,	PUNCT
bitcs-886	122	30	2009	2009	NUM
bitcs-886	122	31	)	)	PUNCT
bitcs-886	122	32	.	.	PUNCT
bitcs-886	123	1	to	to	PART
bitcs-886	123	2	measure	measure	VERB
bitcs-886	123	3	the	the	DET
bitcs-886	123	4	difference	difference	NOUN
bitcs-886	123	5	in	in	ADP
bitcs-886	123	6	performance	performance	NOUN
bitcs-886	123	7	the	the	DET
bitcs-886	123	8	method	method	NOUN
bitcs-886	123	9	used	use	VERB
bitcs-886	123	10	is	be	AUX
bitcs-886	123	11	generated	generate	VERB
bitcs-886	123	12	from	from	ADP
bitcs-886	123	13	the	the	DET
bitcs-886	123	14	calculation	calculation	NOUN
bitcs-886	123	15	of	of	ADP
bitcs-886	123	16	the	the	DET
bitcs-886	123	17	area	area	NOUN
bitcs-886	123	18	under	under	ADP
bitcs-886	123	19	curve	curve	NOUN
bitcs-886	123	20	(	(	PUNCT
bitcs-886	123	21	auc	auc	NOUN
bitcs-886	123	22	)	)	PUNCT
bitcs-886	123	23	.	.	PUNCT
bitcs-886	124	1	the	the	DET
bitcs-886	124	2	formula	formula	NOUN
bitcs-886	124	3	used	use	VERB
bitcs-886	124	4	by	by	ADP
bitcs-886	124	5	auc	auc	NOUN
bitcs-886	124	6	θr	θr	NOUN
bitcs-886	124	7	=	=	SYM
bitcs-886	124	8	1	1	NUM
bitcs-886	124	9	mn	mn	PROPN
bitcs-886	124	10	∑	∑	PROPN
bitcs-886	124	11	∑	∑	PROPN
bitcs-886	124	12	ψm	ψm	PROPN
bitcs-886	124	13	i=1	i=1	PROPN
bitcs-886	124	14	n	n	ADV
bitcs-886	124	15	j=1	j=1	NOUN
bitcs-886	124	16	(	(	PUNCT
bitcs-886	124	17	xtr	xtr	PROPN
bitcs-886	124	18	,	,	PUNCT
bitcs-886	124	19	xjr	xjr	PROPN
bitcs-886	124	20	)	)	PUNCT
bitcs-886	124	21	where	where	SCONJ
bitcs-886	124	22	:	:	PUNCT
bitcs-886	124	23	𝟁(x	𝟁(x	NOUN
bitcs-886	124	24	,	,	PUNCT
bitcs-886	124	25	y	y	NOUN
bitcs-886	124	26	)	)	PUNCT
bitcs-886	124	27	=	=	PRON
bitcs-886	124	28	{	{	PUNCT
bitcs-886	124	29	1	1	NUM
bitcs-886	124	30	𝑌	𝑌	PROPN
bitcs-886	124	31	<	<	X
bitcs-886	124	32	𝑋	𝑋	PROPN
bitcs-886	124	33	1	1	NUM
bitcs-886	124	34	2	2	NUM
bitcs-886	124	35	𝑌	𝑌	PROPN
bitcs-886	124	36	=	=	SYM
bitcs-886	124	37	𝑋	𝑋	PROPN
bitcs-886	124	38	0	0	NUM
bitcs-886	124	39	𝑌	𝑌	PROPN
bitcs-886	124	40	>	>	PUNCT
bitcs-886	124	41	𝑋	𝑋	PROPN
bitcs-886	124	42	description	description	NOUN
bitcs-886	124	43	:	:	PUNCT
bitcs-886	124	44	x	x	SYM
bitcs-886	124	45	=	=	PUNCT
bitcs-886	124	46	positive	positive	ADJ
bitcs-886	124	47	output	output	NOUN
bitcs-886	124	48	y	y	NOUN
bitcs-886	124	49	=	=	PUNCT
bitcs-886	124	50	negative	negative	ADJ
bitcs-886	124	51	output	output	PROPN
bitcs-886	124	52	ii	ii	PROPN
bitcs-886	124	53	.	.	PROPN
bitcs-886	124	54	method	method	PROPN
bitcs-886	124	55	in	in	ADP
bitcs-886	124	56	this	this	DET
bitcs-886	124	57	study	study	NOUN
bitcs-886	124	58	using	use	VERB
bitcs-886	124	59	rapidminer	rapidminer	NOUN
bitcs-886	124	60	studio	studio	NOUN
bitcs-886	124	61	9.0	9.0	NUM
bitcs-886	124	62	testing	testing	NOUN
bitcs-886	124	63	tools	tool	NOUN
bitcs-886	124	64	,	,	PUNCT
bitcs-886	124	65	using	use	VERB
bitcs-886	124	66	the	the	DET
bitcs-886	124	67	following	follow	VERB
bitcs-886	124	68	methodology	methodology	NOUN
bitcs-886	124	69	:	:	PUNCT
bitcs-886	124	70	fig	fig	NOUN
bitcs-886	124	71	.	.	PUNCT
bitcs-886	125	1	2	2	NUM
bitcs-886	125	2	methodology	methodology	NOUN
bitcs-886	125	3	used	use	VERB
bitcs-886	125	4	a.	a.	NOUN
bitcs-886	125	5	dataset	dataset	PROPN
bitcs-886	125	6	is	be	AUX
bitcs-886	125	7	a	a	DET
bitcs-886	125	8	collection	collection	NOUN
bitcs-886	125	9	of	of	ADP
bitcs-886	125	10	data	datum	NOUN
bitcs-886	125	11	,	,	PUNCT
bitcs-886	125	12	a	a	DET
bitcs-886	125	13	database	database	NOUN
bitcs-886	125	14	table	table	NOUN
bitcs-886	125	15	represented	represent	VERB
bitcs-886	125	16	by	by	ADP
bitcs-886	125	17	a	a	DET
bitcs-886	125	18	dataset	dataset	NOUN
bitcs-886	125	19	,	,	PUNCT
bitcs-886	125	20	or	or	CCONJ
bitcs-886	125	21	it	it	PRON
bitcs-886	125	22	could	could	AUX
bitcs-886	125	23	be	be	AUX
bitcs-886	125	24	a	a	DET
bitcs-886	125	25	data	data	NOUN
bitcs-886	125	26	matrix	matrix	NOUN
bitcs-886	125	27	where	where	SCONJ
bitcs-886	125	28	each	each	DET
bitcs-886	125	29	particular	particular	ADJ
bitcs-886	125	30	variable	variable	NOUN
bitcs-886	125	31	is	be	AUX
bitcs-886	125	32	represented	represent	VERB
bitcs-886	125	33	by	by	ADP
bitcs-886	125	34	a	a	DET
bitcs-886	125	35	column	column	NOUN
bitcs-886	125	36	,	,	PUNCT
bitcs-886	125	37	the	the	DET
bitcs-886	125	38	amount	amount	NOUN
bitcs-886	125	39	of	of	ADP
bitcs-886	125	40	data	datum	NOUN
bitcs-886	125	41	is	be	AUX
bitcs-886	125	42	represented	represent	VERB
bitcs-886	125	43	by	by	ADP
bitcs-886	125	44	a	a	DET
bitcs-886	125	45	row	row	NOUN
bitcs-886	125	46	.	.	PUNCT
bitcs-886	126	1	the	the	DET
bitcs-886	126	2	retrieve	retrieve	NOUN
bitcs-886	126	3	operator	operator	NOUN
bitcs-886	126	4	loads	load	VERB
bitcs-886	126	5	the	the	DET
bitcs-886	126	6	rapidminer	rapidminer	NOUN
bitcs-886	126	7	object	object	NOUN
bitcs-886	126	8	into	into	ADP
bitcs-886	126	9	the	the	DET
bitcs-886	126	10	process	process	NOUN
bitcs-886	126	11	used	use	VERB
bitcs-886	126	12	in	in	ADP
bitcs-886	126	13	this	this	DET
bitcs-886	126	14	research	research	NOUN
bitcs-886	126	15	.	.	PUNCT
bitcs-886	127	1	exampleset	exampleset	PROPN
bitcs-886	127	2	,	,	PUNCT
bitcs-886	127	3	but	but	CCONJ
bitcs-886	127	4	can	can	AUX
bitcs-886	127	5	also	also	ADV
bitcs-886	127	6	be	be	AUX
bitcs-886	127	7	a	a	DET
bitcs-886	127	8	collection	collection	NOUN
bitcs-886	127	9	or	or	CCONJ
bitcs-886	127	10	a	a	DET
bitcs-886	127	11	model	model	NOUN
bitcs-886	127	12	.	.	PUNCT
bitcs-886	128	1	data	datum	NOUN
bitcs-886	128	2	is	be	AUX
bitcs-886	128	3	retrieved	retrieve	VERB
bitcs-886	128	4	this	this	DET
bitcs-886	128	5	way	way	NOUN
bitcs-886	128	6	as	as	ADV
bitcs-886	128	7	well	well	ADV
bitcs-886	128	8	as	as	ADP
bitcs-886	128	9	meta	meta	ADJ
bitcs-886	128	10	data	datum	NOUN
bitcs-886	128	11	from	from	ADP
bitcs-886	128	12	the	the	DET
bitcs-886	128	13	rapidminer	rapidminer	NOUN
bitcs-886	128	14	object	object	NOUN
bitcs-886	128	15	.	.	PUNCT
bitcs-886	129	1	b.	b.	PROPN
bitcs-886	129	2	validation	validation	NOUN
bitcs-886	129	3	the	the	DET
bitcs-886	129	4	operator	operator	NOUN
bitcs-886	129	5	used	use	VERB
bitcs-886	129	6	to	to	PART
bitcs-886	129	7	perform	perform	VERB
bitcs-886	129	8	simple	simple	ADJ
bitcs-886	129	9	validation	validation	NOUN
bitcs-886	129	10	randomly	randomly	ADV
bitcs-886	129	11	divides	divide	NOUN
bitcs-886	129	12	exampleset	exampleset	VERB
bitcs-886	129	13	into	into	ADP
bitcs-886	129	14	a	a	DET
bitcs-886	129	15	training	training	NOUN
bitcs-886	129	16	set	set	VERB
bitcs-886	129	17	to	to	PART
bitcs-886	129	18	set	set	VERB
bitcs-886	129	19	the	the	DET
bitcs-886	129	20	test	test	NOUN
bitcs-886	129	21	and	and	CCONJ
bitcs-886	129	22	evaluate	evaluate	VERB
bitcs-886	129	23	the	the	DET
bitcs-886	129	24	model	model	NOUN
bitcs-886	129	25	.	.	PUNCT
bitcs-886	130	1	split	split	VERB
bitcs-886	130	2	validation	validation	NOUN
bitcs-886	130	3	to	to	PART
bitcs-886	130	4	estimate	estimate	VERB
bitcs-886	130	5	the	the	DET
bitcs-886	130	6	performance	performance	NOUN
bitcs-886	130	7	of	of	ADP
bitcs-886	130	8	the	the	DET
bitcs-886	130	9	learning	learning	NOUN
bitcs-886	130	10	operator	operator	NOUN
bitcs-886	130	11	(	(	PUNCT
bitcs-886	130	12	usually	usually	ADV
bitcs-886	130	13	in	in	ADP
bitcs-886	130	14	an	an	DET
bitcs-886	130	15	invisible	invisible	ADJ
bitcs-886	130	16	data	datum	NOUN
bitcs-886	130	17	set	set	NOUN
bitcs-886	130	18	)	)	PUNCT
bitcs-886	130	19	is	be	AUX
bitcs-886	130	20	performed	perform	VERB
bitcs-886	130	21	by	by	ADP
bitcs-886	130	22	this	this	DET
bitcs-886	130	23	operator	operator	NOUN
bitcs-886	130	24	.	.	PUNCT
bitcs-886	131	1	in	in	ADP
bitcs-886	131	2	practice	practice	NOUN
bitcs-886	131	3	,	,	PUNCT
bitcs-886	131	4	it	it	PRON
bitcs-886	131	5	will	will	AUX
bitcs-886	131	6	be	be	AUX
bitcs-886	131	7	shown	show	VERB
bitcs-886	131	8	how	how	SCONJ
bitcs-886	131	9	accurate	accurate	ADJ
bitcs-886	131	10	a	a	DET
bitcs-886	131	11	model	model	NOUN
bitcs-886	131	12	estimate	estimate	NOUN
bitcs-886	131	13	(	(	PUNCT
bitcs-886	131	14	learned	learn	VERB
bitcs-886	131	15	by	by	ADP
bitcs-886	131	16	certain	certain	ADJ
bitcs-886	131	17	learning	learning	NOUN
bitcs-886	131	18	operators	operator	NOUN
bitcs-886	131	19	)	)	PUNCT
bitcs-886	131	20	.	.	PUNCT
bitcs-886	132	1	c.	c.	PROPN
bitcs-886	132	2	knn	knn	PROPN
bitcs-886	132	3	algorithm	algorithm	PROPN
bitcs-886	132	4	in	in	ADP
bitcs-886	132	5	this	this	DET
bitcs-886	132	6	study	study	NOUN
bitcs-886	132	7	an	an	DET
bitcs-886	132	8	experiment	experiment	NOUN
bitcs-886	132	9	was	be	AUX
bitcs-886	132	10	carried	carry	VERB
bitcs-886	132	11	out	out	ADP
bitcs-886	132	12	using	use	VERB
bitcs-886	132	13	the	the	DET
bitcs-886	132	14	classification	classification	NOUN
bitcs-886	132	15	method	method	NOUN
bitcs-886	132	16	of	of	ADP
bitcs-886	132	17	decamination	decamination	NOUN
bitcs-886	132	18	tree	tree	NOUN
bitcs-886	132	19	datamining	datamine	VERB
bitcs-886	132	20	knn	knn	PROPN
bitcs-886	132	21	algorithm	algorithm	PROPN
bitcs-886	132	22	on	on	ADP
bitcs-886	132	23	customer	customer	NOUN
bitcs-886	132	24	satisfaction	satisfaction	NOUN
bitcs-886	132	25	questionnaire	questionnaire	NOUN
bitcs-886	132	26	data	datum	NOUN
bitcs-886	132	27	on	on	ADP
bitcs-886	132	28	cikarang	cikarang	PROPN
bitcs-886	132	29	camera	camera	NOUN
bitcs-886	132	30	rental	rental	NOUN
bitcs-886	132	31	.	.	PUNCT
bitcs-886	133	1	data	datum	NOUN
bitcs-886	133	2	will	will	AUX
bitcs-886	133	3	be	be	AUX
bitcs-886	133	4	processed	process	VERB
bitcs-886	133	5	using	use	VERB
bitcs-886	133	6	the	the	DET
bitcs-886	133	7	knn	knn	NOUN
bitcs-886	133	8	algorithm	algorithm	NOUN
bitcs-886	133	9	and	and	CCONJ
bitcs-886	133	10	produce	produce	VERB
bitcs-886	133	11	a	a	DET
bitcs-886	133	12	model	model	NOUN
bitcs-886	133	13	,	,	PUNCT
bitcs-886	133	14	then	then	ADV
bitcs-886	133	15	the	the	DET
bitcs-886	133	16	resulting	result	VERB
bitcs-886	133	17	model	model	NOUN
bitcs-886	133	18	will	will	AUX
bitcs-886	133	19	be	be	AUX
bitcs-886	133	20	tested	test	VERB
bitcs-886	133	21	cross	cross	NOUN
bitcs-886	133	22	validation	validation	NOUN
bitcs-886	133	23	which	which	PRON
bitcs-886	133	24	produces	produce	VERB
bitcs-886	133	25	accuracy	accuracy	NOUN
bitcs-886	133	26	,	,	PUNCT
bitcs-886	133	27	precision	precision	NOUN
bitcs-886	133	28	,	,	PUNCT
bitcs-886	133	29	recall	recall	NOUN
bitcs-886	133	30	and	and	CCONJ
bitcs-886	133	31	auc	auc	NOUN
bitcs-886	133	32	.	.	PUNCT
bitcs-886	134	1	d.	d.	PROPN
bitcs-886	134	2	apply	apply	VERB
bitcs-886	134	3	model	model	NOUN
bitcs-886	134	4	learning	learning	PROPN
bitcs-886	134	5	algorithm	algorithm	NOUN
bitcs-886	134	6	which	which	PRON
bitcs-886	134	7	is	be	AUX
bitcs-886	134	8	the	the	DET
bitcs-886	134	9	first	first	ADJ
bitcs-886	134	10	model	model	NOUN
bitcs-886	134	11	trained	train	VERB
bitcs-886	134	12	on	on	ADP
bitcs-886	134	13	exampleset	exampleset	VERB
bitcs-886	134	14	by	by	ADP
bitcs-886	134	15	other	other	ADJ
bitcs-886	134	16	operators	operator	NOUN
bitcs-886	134	17	.	.	PUNCT
bitcs-886	135	1	after	after	ADP
bitcs-886	135	2	that	that	PRON
bitcs-886	135	3	,	,	PUNCT
bitcs-886	135	4	this	this	DET
bitcs-886	135	5	model	model	NOUN
bitcs-886	135	6	can	can	AUX
bitcs-886	135	7	be	be	AUX
bitcs-886	135	8	applied	apply	VERB
bitcs-886	135	9	to	to	ADP
bitcs-886	135	10	another	another	DET
bitcs-886	135	11	exampleset	exampleset	NOUN
bitcs-886	135	12	called	call	VERB
bitcs-886	135	13	apply	apply	NOUN
bitcs-886	135	14	model	model	NOUN
bitcs-886	135	15	.	.	PUNCT
bitcs-886	136	1	to	to	PART
bitcs-886	136	2	get	get	VERB
bitcs-886	136	3	predictions	prediction	NOUN
bitcs-886	136	4	on	on	ADP
bitcs-886	136	5	data	datum	NOUN
bitcs-886	136	6	that	that	PRON
bitcs-886	136	7	are	be	AUX
bitcs-886	136	8	not	not	PART
bitcs-886	136	9	visible	visible	ADJ
bitcs-886	136	10	or	or	CCONJ
bitcs-886	136	11	to	to	PART
bitcs-886	136	12	transform	transform	VERB
bitcs-886	136	13	data	datum	NOUN
bitcs-886	136	14	by	by	ADP
bitcs-886	136	15	applying	apply	VERB
bitcs-886	136	16	the	the	DET
bitcs-886	136	17	preprocessing	preprocessing	NOUN
bitcs-886	136	18	model	model	NOUN
bitcs-886	136	19	is	be	AUX
bitcs-886	136	20	the	the	DET
bitcs-886	136	21	goal	goal	NOUN
bitcs-886	136	22	of	of	ADP
bitcs-886	136	23	applying	apply	VERB
bitcs-886	136	24	the	the	DET
bitcs-886	136	25	model	model	NOUN
bitcs-886	136	26	.	.	PUNCT
bitcs-886	137	1	the	the	DET
bitcs-886	137	2	model	model	NOUN
bitcs-886	137	3	attribute	attribute	NOUN
bitcs-886	137	4	must	must	AUX
bitcs-886	137	5	be	be	AUX
bitcs-886	137	6	compatible	compatible	ADJ
bitcs-886	137	7	with	with	ADP
bitcs-886	137	8	exampleset	exampleset	NOUN
bitcs-886	137	9	where	where	SCONJ
bitcs-886	137	10	the	the	DET
bitcs-886	137	11	model	model	NOUN
bitcs-886	137	12	is	be	AUX
bitcs-886	137	13	applied	apply	VERB
bitcs-886	137	14	.	.	PUNCT
bitcs-886	138	1	exampleset	exampleset	PROPN
bitcs-886	138	2	apply	apply	VERB
bitcs-886	138	3	the	the	DET
bitcs-886	138	4	model	model	NOUN
bitcs-886	138	5	must	must	AUX
bitcs-886	138	6	have	have	VERB
bitcs-886	138	7	the	the	DET
bitcs-886	138	8	same	same	ADJ
bitcs-886	138	9	number	number	NOUN
bitcs-886	138	10	,	,	PUNCT
bitcs-886	138	11	sequence	sequence	NOUN
bitcs-886	138	12	,	,	PUNCT
bitcs-886	138	13	type	type	NOUN
bitcs-886	138	14	,	,	PUNCT
bitcs-886	138	15	and	and	CCONJ
bitcs-886	138	16	role	role	NOUN
bitcs-886	138	17	attributes	attribute	NOUN
bitcs-886	138	18	as	as	ADP
bitcs-886	138	19	exampleset	exampleset	PROPN
bitcs-886	138	20	used	use	VERB
bitcs-886	138	21	to	to	PART
bitcs-886	138	22	generate	generate	VERB
bitcs-886	138	23	the	the	DET
bitcs-886	138	24	model	model	NOUN
bitcs-886	138	25	.	.	PUNCT
bitcs-886	139	1	e.	e.	PROPN
bitcs-886	139	2	performance	performance	PROPN
bitcs-886	139	3	the	the	DET
bitcs-886	139	4	the	the	DET
bitcs-886	139	5	operator	operator	NOUN
bitcs-886	139	6	is	be	AUX
bitcs-886	139	7	used	use	VERB
bitcs-886	139	8	to	to	PART
bitcs-886	139	9	evaluate	evaluate	VERB
bitcs-886	139	10	the	the	DET
bitcs-886	139	11	statistics	statistic	NOUN
bitcs-886	139	12	of	of	ADP
bitcs-886	139	13	a	a	DET
bitcs-886	139	14	binomial	binomial	ADJ
bitcs-886	139	15	classification	classification	NOUN
bitcs-886	139	16	task	task	NOUN
bitcs-886	139	17	,	,	PUNCT
bitcs-886	139	18	ie	ie	ADP
bitcs-886	139	19	a	a	DET
bitcs-886	139	20	classification	classification	NOUN
bitcs-886	139	21	task	task	NOUN
bitcs-886	139	22	whose	whose	DET
bitcs-886	139	23	31	31	NUM
bitcs-886	139	24	|	|	ADV
bitcs-886	139	25	vol.1	vol.1	PROPN
bitcs-886	139	26	no.2	no.2	PROPN
bitcs-886	139	27	,	,	PUNCT
bitcs-886	139	28	10	10	NUM
bitcs-886	139	29	july	july	PROPN
bitcs-886	139	30	2020	2020	NUM
bitcs-886	139	31	buana	buana	PROPN
bitcs-886	139	32	information	information	PROPN
bitcs-886	139	33	tchnology	tchnology	PROPN
bitcs-886	139	34	and	and	CCONJ
bitcs-886	139	35	computer	computer	NOUN
bitcs-886	139	36	sciences	science	NOUN
bitcs-886	139	37	(	(	PUNCT
bitcs-886	139	38	bit	bit	NOUN
bitcs-886	139	39	and	and	CCONJ
bitcs-886	139	40	cs	cs	ADJ
bitcs-886	139	41	)	)	PUNCT
bitcs-886	139	42	label	label	NOUN
bitcs-886	139	43	attribute	attribute	NOUN
bitcs-886	139	44	has	have	VERB
bitcs-886	139	45	a	a	DET
bitcs-886	139	46	binomial	binomial	ADJ
bitcs-886	139	47	type	type	NOUN
bitcs-886	139	48	.	.	PUNCT
bitcs-886	140	1	this	this	DET
bitcs-886	140	2	operator	operator	NOUN
bitcs-886	140	3	provides	provide	VERB
bitcs-886	140	4	a	a	DET
bitcs-886	140	5	list	list	NOUN
bitcs-886	140	6	of	of	ADP
bitcs-886	140	7	performance	performance	NOUN
bitcs-886	140	8	criterion	criterion	NOUN
bitcs-886	140	9	values	value	NOUN
bitcs-886	140	10	from	from	ADP
bitcs-886	140	11	the	the	DET
bitcs-886	140	12	binomial	binomial	ADJ
bitcs-886	140	13	classification	classification	NOUN
bitcs-886	140	14	task	task	NOUN
bitcs-886	140	15	.	.	PUNCT
bitcs-886	141	1	measure	measure	VERB
bitcs-886	141	2	the	the	DET
bitcs-886	141	3	results	result	NOUN
bitcs-886	141	4	of	of	ADP
bitcs-886	141	5	this	this	DET
bitcs-886	141	6	study	study	NOUN
bitcs-886	141	7	using	use	VERB
bitcs-886	141	8	a	a	DET
bitcs-886	141	9	confusion	confusion	NOUN
bitcs-886	141	10	matrix	matrix	NOUN
bitcs-886	141	11	(	(	PUNCT
bitcs-886	141	12	accuracy	accuracy	NOUN
bitcs-886	141	13	,	,	PUNCT
bitcs-886	141	14	recall	recall	VERB
bitcs-886	141	15	classification	classification	NOUN
bitcs-886	141	16	,	,	PUNCT
bitcs-886	141	17	classification	classification	NOUN
bitcs-886	141	18	accuracy	accuracy	NOUN
bitcs-886	141	19	)	)	PUNCT
bitcs-886	141	20	and	and	CCONJ
bitcs-886	141	21	the	the	DET
bitcs-886	141	22	roc	roc	PROPN
bitcs-886	141	23	curve	curve	PROPN
bitcs-886	141	24	.	.	PUNCT
bitcs-886	142	1	iii	iii	X
bitcs-886	142	2	.	.	PROPN
bitcs-886	142	3	results	result	NOUN
bitcs-886	142	4	and	and	CCONJ
bitcs-886	142	5	discussion	discussion	NOUN
bitcs-886	142	6	a.	a.	NOUN
bitcs-886	142	7	data	data	PROPN
bitcs-886	142	8	set	set	VERB
bitcs-886	142	9	analysis	analysis	NOUN
bitcs-886	142	10	results	result	VERB
bitcs-886	142	11	the	the	DET
bitcs-886	142	12	data	datum	NOUN
bitcs-886	142	13	set	set	VERB
bitcs-886	142	14	used	use	VERB
bitcs-886	142	15	is	be	AUX
bitcs-886	142	16	the	the	DET
bitcs-886	142	17	customer	customer	NOUN
bitcs-886	142	18	satisfaction	satisfaction	NOUN
bitcs-886	142	19	questionnaire	questionnaire	NOUN
bitcs-886	142	20	data	datum	NOUN
bitcs-886	142	21	set	set	VERB
bitcs-886	142	22	for	for	ADP
bitcs-886	142	23	cikarang	cikarang	PROPN
bitcs-886	142	24	camera	camera	NOUN
bitcs-886	142	25	rental	rental	NOUN
bitcs-886	142	26	,	,	PUNCT
bitcs-886	142	27	this	this	DET
bitcs-886	142	28	data	datum	NOUN
bitcs-886	142	29	set	set	NOUN
bitcs-886	142	30	contains	contain	VERB
bitcs-886	142	31	data	datum	NOUN
bitcs-886	142	32	information	information	NOUN
bitcs-886	142	33	about	about	ADP
bitcs-886	142	34	customer	customer	NOUN
bitcs-886	142	35	satisfaction	satisfaction	NOUN
bitcs-886	142	36	questionnaires	questionnaire	NOUN
bitcs-886	142	37	regarding	regard	VERB
bitcs-886	142	38	prices	price	NOUN
bitcs-886	142	39	,	,	PUNCT
bitcs-886	142	40	facilities	facility	NOUN
bitcs-886	142	41	,	,	PUNCT
bitcs-886	142	42	services	service	NOUN
bitcs-886	142	43	and	and	CCONJ
bitcs-886	142	44	loyalty	loyalty	NOUN
bitcs-886	142	45	.	.	PUNCT
bitcs-886	143	1	the	the	DET
bitcs-886	143	2	total	total	ADJ
bitcs-886	143	3	data	datum	NOUN
bitcs-886	143	4	in	in	ADP
bitcs-886	143	5	this	this	DET
bitcs-886	143	6	data	datum	NOUN
bitcs-886	143	7	set	set	VERB
bitcs-886	143	8	is	be	AUX
bitcs-886	143	9	100	100	NUM
bitcs-886	143	10	records	record	NOUN
bitcs-886	143	11	,	,	PUNCT
bitcs-886	143	12	each	each	PRON
bitcs-886	143	13	of	of	ADP
bitcs-886	143	14	which	which	PRON
bitcs-886	143	15	has	have	VERB
bitcs-886	143	16	10	10	NUM
bitcs-886	143	17	attributes	attribute	NOUN
bitcs-886	143	18	including	include	VERB
bitcs-886	143	19	:	:	PUNCT
bitcs-886	143	20	1	1	X
bitcs-886	143	21	.	.	X
bitcs-886	144	1	no	no	INTJ
bitcs-886	144	2	(	(	PUNCT
bitcs-886	144	3	integers	integer	NOUN
bitcs-886	144	4	,	,	PUNCT
bitcs-886	144	5	roles	role	NOUN
bitcs-886	144	6	:	:	PUNCT
bitcs-886	144	7	i	i	PROPN
bitcs-886	144	8	d	d	PROPN
bitcs-886	144	9	)	)	PUNCT
bitcs-886	144	10	2	2	NUM
bitcs-886	144	11	.	.	X
bitcs-886	145	1	name	name	NOUN
bitcs-886	145	2	(	(	PUNCT
bitcs-886	145	3	polynominals	polynominal	NOUN
bitcs-886	145	4	)	)	PUNCT
bitcs-886	145	5	3	3	NUM
bitcs-886	145	6	.	.	PUNCT
bitcs-886	145	7	price	price	NOUN
bitcs-886	145	8	x1	x1	PROPN
bitcs-886	145	9	(	(	PUNCT
bitcs-886	145	10	integers	integer	NOUN
bitcs-886	145	11	)	)	PUNCT
bitcs-886	145	12	4	4	NUM
bitcs-886	145	13	.	.	PUNCT
bitcs-886	145	14	facility	facility	NOUN
bitcs-886	145	15	x2	x2	PROPN
bitcs-886	145	16	(	(	PUNCT
bitcs-886	145	17	integers	integer	NOUN
bitcs-886	145	18	)	)	PUNCT
bitcs-886	145	19	5	5	NUM
bitcs-886	145	20	.	.	PUNCT
bitcs-886	145	21	services	service	NOUN
bitcs-886	145	22	x3	x3	VERB
bitcs-886	145	23	(	(	PUNCT
bitcs-886	145	24	integers	integer	NOUN
bitcs-886	145	25	)	)	PUNCT
bitcs-886	145	26	6	6	NUM
bitcs-886	145	27	.	.	PUNCT
bitcs-886	145	28	loyalty	loyalty	NOUN
bitcs-886	145	29	x4	x4	PROPN
bitcs-886	145	30	(	(	PUNCT
bitcs-886	145	31	integers	integer	NOUN
bitcs-886	145	32	)	)	PUNCT
bitcs-886	145	33	7	7	NUM
bitcs-886	145	34	.	.	X
bitcs-886	145	35	results	result	NOUN
bitcs-886	145	36	(	(	PUNCT
bitcs-886	145	37	binomials	binomial	NOUN
bitcs-886	145	38	:	:	PUNCT
bitcs-886	145	39	satisfied	satisfied	ADJ
bitcs-886	145	40	&	&	CCONJ
bitcs-886	145	41	dissatisfied	dissatisfied	ADJ
bitcs-886	145	42	)	)	PUNCT
bitcs-886	145	43	from	from	ADP
bitcs-886	145	44	the	the	DET
bitcs-886	145	45	attribute	attribute	NOUN
bitcs-886	145	46	data	datum	NOUN
bitcs-886	145	47	set	set	VERB
bitcs-886	145	48	above	above	ADV
bitcs-886	145	49	(	(	PUNCT
bitcs-886	145	50	1	1	NUM
bitcs-886	145	51	to	to	PART
bitcs-886	145	52	7	7	NUM
bitcs-886	145	53	)	)	PUNCT
bitcs-886	145	54	the	the	DET
bitcs-886	145	55	training	training	NOUN
bitcs-886	145	56	&	&	CCONJ
bitcs-886	145	57	test	test	NOUN
bitcs-886	145	58	process	process	NOUN
bitcs-886	145	59	will	will	AUX
bitcs-886	145	60	be	be	AUX
bitcs-886	145	61	carried	carry	VERB
bitcs-886	145	62	out	out	ADP
bitcs-886	145	63	using	use	VERB
bitcs-886	145	64	the	the	DET
bitcs-886	145	65	10	10	NUM
bitcs-886	145	66	fold	fold	PROPN
bitcs-886	145	67	cross	cross	NOUN
bitcs-886	145	68	validation	validation	NOUN
bitcs-886	145	69	method	method	NOUN
bitcs-886	145	70	,	,	PUNCT
bitcs-886	145	71	while	while	SCONJ
bitcs-886	145	72	the	the	DET
bitcs-886	145	73	7th	7th	ADJ
bitcs-886	145	74	attribute	attribute	NOUN
bitcs-886	145	75	will	will	AUX
bitcs-886	145	76	be	be	AUX
bitcs-886	145	77	the	the	DET
bitcs-886	145	78	target	target	NOUN
bitcs-886	145	79	of	of	ADP
bitcs-886	145	80	the	the	DET
bitcs-886	145	81	results	result	NOUN
bitcs-886	145	82	of	of	ADP
bitcs-886	145	83	the	the	DET
bitcs-886	145	84	classification	classification	NOUN
bitcs-886	145	85	process	process	NOUN
bitcs-886	145	86	.	.	PUNCT
bitcs-886	146	1	and	and	CCONJ
bitcs-886	146	2	here	here	ADV
bitcs-886	146	3	we	we	PRON
bitcs-886	146	4	will	will	AUX
bitcs-886	146	5	try	try	VERB
bitcs-886	146	6	to	to	PART
bitcs-886	146	7	analyze	analyze	VERB
bitcs-886	146	8	the	the	DET
bitcs-886	146	9	difference	difference	NOUN
bitcs-886	146	10	between	between	ADP
bitcs-886	146	11	accuracy	accuracy	NOUN
bitcs-886	146	12	and	and	CCONJ
bitcs-886	146	13	error	error	NOUN
bitcs-886	146	14	obtained	obtain	VERB
bitcs-886	146	15	by	by	ADP
bitcs-886	146	16	comparing	compare	VERB
bitcs-886	146	17	the	the	DET
bitcs-886	146	18	predicted	predict	VERB
bitcs-886	146	19	results	result	NOUN
bitcs-886	146	20	and	and	CCONJ
bitcs-886	146	21	results	result	NOUN
bitcs-886	146	22	.	.	PUNCT
bitcs-886	147	1	fig	fig	NOUN
bitcs-886	147	2	.	.	PUNCT
bitcs-886	148	1	3	3	NUM
bitcs-886	148	2	10	10	NUM
bitcs-886	148	3	fold	fold	PROPN
bitcs-886	148	4	cross	cross	NOUN
bitcs-886	148	5	validation	validation	NOUN
bitcs-886	148	6	the	the	DET
bitcs-886	148	7	questionnaire	questionnaire	NOUN
bitcs-886	148	8	can	can	AUX
bitcs-886	148	9	be	be	AUX
bitcs-886	148	10	illustrated	illustrate	VERB
bitcs-886	148	11	below	below	ADP
bitcs-886	148	12	:	:	PUNCT
bitcs-886	148	13	fig	fig	NOUN
bitcs-886	148	14	.	.	PUNCT
bitcs-886	149	1	4	4	X
bitcs-886	149	2	.	.	NOUN
bitcs-886	149	3	questionnaire	questionnaire	NOUN
bitcs-886	149	4	form	form	NOUN
bitcs-886	149	5	data	datum	NOUN
bitcs-886	149	6	that	that	PRON
bitcs-886	149	7	has	have	AUX
bitcs-886	149	8	been	be	AUX
bitcs-886	149	9	processed	process	VERB
bitcs-886	149	10	using	use	VERB
bitcs-886	149	11	ms	ms	PROPN
bitcs-886	149	12	excel	excel	PROPN
bitcs-886	149	13	fig	fig	NOUN
bitcs-886	149	14	.	.	PUNCT
bitcs-886	150	1	5	5	X
bitcs-886	150	2	.	.	X
bitcs-886	150	3	data	datum	NOUN
bitcs-886	150	4	questionnaire	questionnaire	NOUN
bitcs-886	150	5	that	that	PRON
bitcs-886	150	6	has	have	AUX
bitcs-886	150	7	been	be	AUX
bitcs-886	150	8	processed	process	VERB
bitcs-886	150	9	b.	b.	NOUN
bitcs-886	150	10	experiment	experiment	NOUN
bitcs-886	150	11	and	and	CCONJ
bitcs-886	150	12	evaluation	evaluation	NOUN
bitcs-886	150	13	results	result	NOUN
bitcs-886	150	14	in	in	ADP
bitcs-886	150	15	this	this	DET
bitcs-886	150	16	experiment	experiment	NOUN
bitcs-886	150	17	there	there	PRON
bitcs-886	150	18	are	be	VERB
bitcs-886	150	19	7	7	NUM
bitcs-886	150	20	attributes	attribute	NOUN
bitcs-886	150	21	which	which	PRON
bitcs-886	150	22	will	will	AUX
bitcs-886	150	23	be	be	AUX
bitcs-886	150	24	trained	train	VERB
bitcs-886	150	25	and	and	CCONJ
bitcs-886	150	26	2	2	NUM
bitcs-886	150	27	values	value	NOUN
bitcs-886	150	28	that	that	PRON
bitcs-886	150	29	indicate	indicate	VERB
bitcs-886	150	30	the	the	DET
bitcs-886	150	31	target	target	NOUN
bitcs-886	150	32	(	(	PUNCT
bitcs-886	150	33	classification	classification	NOUN
bitcs-886	150	34	)	)	PUNCT
bitcs-886	150	35	on	on	ADP
bitcs-886	150	36	the	the	DET
bitcs-886	150	37	7th	7th	ADJ
bitcs-886	150	38	attribute	attribute	NOUN
bitcs-886	150	39	,	,	PUNCT
bitcs-886	150	40	which	which	PRON
bitcs-886	150	41	means	mean	VERB
bitcs-886	150	42	the	the	DET
bitcs-886	150	43	knn	knn	PROPN
bitcs-886	150	44	algorithm	algorithm	PROPN
bitcs-886	150	45	is	be	AUX
bitcs-886	150	46	initialized	initialize	VERB
bitcs-886	150	47	,	,	PUNCT
bitcs-886	150	48	6	6	NUM
bitcs-886	150	49	input	input	NOUN
bitcs-886	150	50	attributes	attribute	NOUN
bitcs-886	150	51	and	and	CCONJ
bitcs-886	150	52	1	1	NUM
bitcs-886	150	53	output	output	NOUN
bitcs-886	150	54	attribute	attribute	NOUN
bitcs-886	150	55	.	.	PUNCT
bitcs-886	151	1	the	the	DET
bitcs-886	151	2	results	result	NOUN
bitcs-886	151	3	of	of	ADP
bitcs-886	151	4	this	this	DET
bitcs-886	151	5	study	study	NOUN
bitcs-886	151	6	are	be	AUX
bitcs-886	151	7	:	:	PUNCT
bitcs-886	151	8	1	1	X
bitcs-886	151	9	.	.	X
bitcs-886	151	10	confusion	confusion	NOUN
bitcs-886	151	11	matrix	matrix	NOUN
bitcs-886	151	12	table	table	NOUN
bitcs-886	151	13	number	number	NOUN
bitcs-886	151	14	of	of	ADP
bitcs-886	151	15	true	true	ADJ
bitcs-886	151	16	puas	puas	PROPN
bitcs-886	151	17	(	(	PUNCT
bitcs-886	151	18	tp	tp	NOUN
bitcs-886	151	19	)	)	PUNCT
bitcs-886	151	20	is	be	AUX
bitcs-886	151	21	124	124	NUM
bitcs-886	151	22	records	record	NOUN
bitcs-886	151	23	classified	classify	VERB
bitcs-886	151	24	as	as	ADP
bitcs-886	151	25	true	true	ADJ
bitcs-886	151	26	positive	positive	ADJ
bitcs-886	151	27	124	124	NUM
bitcs-886	151	28	records	record	NOUN
bitcs-886	151	29	and	and	CCONJ
bitcs-886	151	30	false	false	ADJ
bitcs-886	151	31	negative	negative	ADJ
bitcs-886	151	32	(	(	PUNCT
bitcs-886	151	33	fn	fn	NOUN
bitcs-886	151	34	)	)	PUNCT
bitcs-886	151	35	of	of	ADP
bitcs-886	151	36	0	0	NUM
bitcs-886	151	37	records	record	NOUN
bitcs-886	151	38	.	.	PUNCT
bitcs-886	152	1	next	next	ADJ
bitcs-886	152	2	26	26	NUM
bitcs-886	152	3	records	record	NOUN
bitcs-886	152	4	for	for	ADP
bitcs-886	152	5	true	true	ADJ
bitcs-886	152	6	dissatisfaction	dissatisfaction	NOUN
bitcs-886	152	7	(	(	PUNCT
bitcs-886	152	8	ttp	ttp	X
bitcs-886	152	9	)	)	PUNCT
bitcs-886	152	10	are	be	AUX
bitcs-886	152	11	classified	classify	VERB
bitcs-886	152	12	as	as	ADP
bitcs-886	152	13	true	true	ADJ
bitcs-886	152	14	positive	positive	ADJ
bitcs-886	152	15	23	23	NUM
bitcs-886	152	16	records	record	NOUN
bitcs-886	152	17	and	and	CCONJ
bitcs-886	152	18	false	false	ADJ
bitcs-886	152	19	negative	negative	ADJ
bitcs-886	152	20	as	as	ADV
bitcs-886	152	21	many	many	ADJ
bitcs-886	152	22	as	as	ADP
bitcs-886	152	23	3	3	NUM
bitcs-886	152	24	records	record	NOUN
bitcs-886	152	25	.	.	PUNCT
bitcs-886	153	1	2	2	X
bitcs-886	153	2	.	.	X
bitcs-886	153	3	pervormance	pervormance	NOUN
bitcs-886	153	4	vector	vector	NOUN
bitcs-886	153	5	no	no	INTJ
bitcs-886	153	6	nama	nama	PROPN
bitcs-886	153	7	harga	harga	PROPN
bitcs-886	153	8	x1	x1	PROPN
bitcs-886	153	9	fasilitas	fasilita	NOUN
bitcs-886	153	10	x2	x2	PROPN
bitcs-886	153	11	pelayanan	pelayanan	VERB
bitcs-886	153	12	x3	x3	ADJ
bitcs-886	153	13	loyalitas	loyalita	NOUN
bitcs-886	153	14	x4	x4	PROPN
bitcs-886	153	15	hasil	hasil	PROPN
bitcs-886	153	16	1	1	PROPN
bitcs-886	153	17	anwar	anwar	PROPN
bitcs-886	153	18	6	6	NUM
bitcs-886	153	19	4.33	4.33	NUM
bitcs-886	153	20	4.00	4.00	NUM
bitcs-886	153	21	3.50	3.50	NUM
bitcs-886	153	22	puas	puas	PROPN
bitcs-886	153	23	2	2	NUM
bitcs-886	153	24	maulana	maulana	PROPN
bitcs-886	153	25	6	6	NUM
bitcs-886	153	26	4.33	4.33	NUM
bitcs-886	153	27	4.00	4.00	NUM
bitcs-886	153	28	3.50	3.50	NUM
bitcs-886	153	29	puas	puas	PROPN
bitcs-886	153	30	3	3	NUM
bitcs-886	153	31	budiman	budiman	NOUN
bitcs-886	153	32	5	5	NUM
bitcs-886	153	33	4.33	4.33	NUM
bitcs-886	153	34	3.75	3.75	NUM
bitcs-886	153	35	3.50	3.50	NUM
bitcs-886	153	36	puas	puas	PROPN
bitcs-886	153	37	4	4	NUM
bitcs-886	153	38	geofany	geofany	VERB
bitcs-886	153	39	5	5	NUM
bitcs-886	153	40	4.33	4.33	NUM
bitcs-886	153	41	3.75	3.75	NUM
bitcs-886	153	42	3.00	3.00	NUM
bitcs-886	153	43	puas	puas	PROPN
bitcs-886	153	44	5	5	NUM
bitcs-886	153	45	fiki	fiki	PROPN
bitcs-886	153	46	ananda	ananda	PROPN
bitcs-886	153	47	5	5	NUM
bitcs-886	153	48	4.33	4.33	NUM
bitcs-886	153	49	3.75	3.75	NUM
bitcs-886	153	50	3.00	3.00	NUM
bitcs-886	153	51	puas	puas	NOUN
bitcs-886	153	52	6	6	NUM
bitcs-886	153	53	haryanto	haryanto	ADP
bitcs-886	153	54	2	2	NUM
bitcs-886	153	55	3.00	3.00	NUM
bitcs-886	153	56	3.00	3.00	NUM
bitcs-886	153	57	2.50	2.50	NUM
bitcs-886	153	58	tidak	tidak	PROPN
bitcs-886	153	59	puas	puas	PROPN
bitcs-886	153	60	7	7	NUM
bitcs-886	153	61	rizky	rizky	PROPN
bitcs-886	153	62	narezka	narezka	PROPN
bitcs-886	153	63	5	5	NUM
bitcs-886	153	64	4.33	4.33	NUM
bitcs-886	153	65	4.25	4.25	NUM
bitcs-886	153	66	3.75	3.75	NUM
bitcs-886	153	67	puas	puas	PROPN
bitcs-886	153	68	8	8	NUM
bitcs-886	153	69	aditia	aditia	NOUN
bitcs-886	153	70	5	5	NUM
bitcs-886	153	71	4.00	4.00	NUM
bitcs-886	153	72	4.50	4.50	NUM
bitcs-886	153	73	3.75	3.75	NUM
bitcs-886	153	74	puas	puas	PROPN
bitcs-886	153	75	9	9	NUM
bitcs-886	153	76	agil	agil	NOUN
bitcs-886	153	77	5	5	NUM
bitcs-886	153	78	4.33	4.33	NUM
bitcs-886	153	79	3.75	3.75	NUM
bitcs-886	153	80	4.00	4.00	NUM
bitcs-886	153	81	puas	puas	PROPN
bitcs-886	153	82	10	10	NUM
bitcs-886	153	83	fadilah	fadilah	ADJ
bitcs-886	153	84	3	3	NUM
bitcs-886	153	85	3.00	3.00	NUM
bitcs-886	153	86	3.75	3.75	NUM
bitcs-886	153	87	2.75	2.75	NUM
bitcs-886	153	88	tidak	tidak	PROPN
bitcs-886	153	89	puas	puas	PROPN
bitcs-886	153	90	11	11	NUM
bitcs-886	153	91	purwati	purwati	NOUN
bitcs-886	153	92	5	5	NUM
bitcs-886	153	93	4.33	4.33	NUM
bitcs-886	153	94	3.50	3.50	NUM
bitcs-886	153	95	3.75	3.75	NUM
bitcs-886	153	96	puas	puas	PROPN
bitcs-886	153	97	12	12	NUM
bitcs-886	153	98	nurhajjah	nurhajjah	NOUN
bitcs-886	153	99	5	5	NUM
bitcs-886	153	100	3.67	3.67	NUM
bitcs-886	153	101	3.50	3.50	NUM
bitcs-886	153	102	4.25	4.25	NUM
bitcs-886	153	103	puas	puas	PROPN
bitcs-886	153	104	13	13	NUM
bitcs-886	153	105	umay	umay	ADV
bitcs-886	153	106	5	5	NUM
bitcs-886	153	107	4.67	4.67	NUM
bitcs-886	153	108	4.00	4.00	NUM
bitcs-886	153	109	3.50	3.50	NUM
bitcs-886	153	110	puas	puas	PROPN
bitcs-886	153	111	14	14	NUM
bitcs-886	153	112	jesica	jesica	NOUN
bitcs-886	153	113	3	3	NUM
bitcs-886	153	114	3.67	3.67	NUM
bitcs-886	153	115	3.25	3.25	NUM
bitcs-886	153	116	2.75	2.75	NUM
bitcs-886	153	117	tidak	tidak	PROPN
bitcs-886	153	118	puas	puas	PROPN
bitcs-886	153	119	15	15	NUM
bitcs-886	153	120	krismonga	krismonga	VERB
bitcs-886	153	121	5	5	NUM
bitcs-886	153	122	4.00	4.00	NUM
bitcs-886	153	123	3.50	3.50	NUM
bitcs-886	153	124	3.50	3.50	NUM
bitcs-886	153	125	puas	puas	PROPN
bitcs-886	153	126	16	16	NUM
bitcs-886	153	127	marzuki	marzuki	NOUN
bitcs-886	153	128	3	3	NUM
bitcs-886	153	129	3.00	3.00	NUM
bitcs-886	153	130	2.75	2.75	NUM
bitcs-886	153	131	2.75	2.75	NUM
bitcs-886	153	132	tidak	tidak	PROPN
bitcs-886	153	133	puas	puas	PROPN
bitcs-886	153	134	17	17	NUM
bitcs-886	153	135	akbar	akbar	NOUN
bitcs-886	153	136	3	3	NUM
bitcs-886	153	137	3.67	3.67	NUM
bitcs-886	153	138	2.50	2.50	NUM
bitcs-886	153	139	2.50	2.50	NUM
bitcs-886	153	140	tidak	tidak	PROPN
bitcs-886	153	141	puas	puas	PROPN
bitcs-886	153	142	32	32	NUM
bitcs-886	154	1	|	|	ADV
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bitcs-886	154	3	no.2	no.2	PROPN
bitcs-886	154	4	,	,	PUNCT
bitcs-886	154	5	10	10	NUM
bitcs-886	154	6	july	july	PROPN
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bitcs-886	154	8	buana	buana	PROPN
bitcs-886	154	9	information	information	PROPN
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bitcs-886	154	11	and	and	CCONJ
bitcs-886	154	12	computer	computer	NOUN
bitcs-886	154	13	sciences	science	NOUN
bitcs-886	154	14	(	(	PUNCT
bitcs-886	154	15	bit	bit	NOUN
bitcs-886	154	16	and	and	CCONJ
bitcs-886	154	17	cs	cs	ADJ
bitcs-886	154	18	)	)	PUNCT
bitcs-886	154	19	3	3	NUM
bitcs-886	154	20	.	.	PUNCT
bitcs-886	155	1	roc	roc	PROPN
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bitcs-886	155	4	.	.	PUNCT
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bitcs-886	156	2	the	the	DET
bitcs-886	156	3	classification	classification	NOUN
bitcs-886	156	4	method	method	NOUN
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bitcs-886	156	6	the	the	DET
bitcs-886	156	7	knn	knn	PROPN
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bitcs-886	156	9	is	be	AUX
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bitcs-886	156	11	good	good	ADJ
bitcs-886	156	12	for	for	ADP
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bitcs-886	156	14	the	the	DET
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bitcs-886	156	18	in	in	ADP
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bitcs-886	156	21	.	.	PUNCT
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bitcs-886	157	2	by	by	ADP
bitcs-886	157	3	the	the	DET
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bitcs-886	157	5	of	of	ADP
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bitcs-886	157	7	=	=	SYM
bitcs-886	157	8	98	98	NUM
bitcs-886	157	9	%	%	NOUN
bitcs-886	157	10	,	,	PUNCT
bitcs-886	157	11	classification	classification	NOUN
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bitcs-886	157	13	=	=	PUNCT
bitcs-886	157	14	86.67	86.67	NUM
bitcs-886	157	15	%	%	NOUN
bitcs-886	157	16	,	,	PUNCT
bitcs-886	157	17	classification	classification	NOUN
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bitcs-886	157	19	=	=	NOUN
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bitcs-886	157	21	%	%	NOUN
bitcs-886	157	22	and	and	CCONJ
bitcs-886	157	23	auc	auc	NOUN
bitcs-886	157	24	=	=	NOUN
bitcs-886	157	25	0.750	0.750	NUM
bitcs-886	157	26	.	.	PUNCT
bitcs-886	158	1	references	reference	NOUN
bitcs-886	158	2	[	[	X
bitcs-886	158	3	1	1	NUM
bitcs-886	158	4	]	]	PUNCT
bitcs-886	158	5	abdul	abdul	PROPN
bitcs-886	158	6	rohman	rohman	PROPN
bitcs-886	158	7	,	,	PUNCT
bitcs-886	158	8	model	model	NOUN
bitcs-886	158	9	algoritma	algoritma	ADJ
bitcs-886	158	10	k	k	X
bitcs-886	158	11	nearest	near	ADJ
bitcs-886	158	12	neighbour	neighbour	PROPN
bitcs-886	158	13	(	(	PUNCT
bitcs-886	158	14	knn	knn	PROPN
bitcs-886	158	15	)	)	PUNCT
bitcs-886	158	16	untuk	untuk	PROPN
bitcs-886	158	17	prediksi	prediksi	PROPN
bitcs-886	158	18	kelulusan	kelulusan	PROPN
bitcs-886	158	19	mahasiswa	mahasiswa	PROPN
bitcs-886	158	20	,	,	PUNCT
bitcs-886	158	21	universitas	universita	NOUN
bitcs-886	158	22	pandanaran	pandanaran	VERB
bitcs-886	158	23	semarang	semarang	PROPN
bitcs-886	158	24	,	,	PUNCT
bitcs-886	158	25	2015	2015	NUM
bitcs-886	158	26	.	.	PUNCT
bitcs-886	159	1	[	[	X
bitcs-886	159	2	2	2	NUM
bitcs-886	159	3	]	]	SYM
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bitcs-886	159	5	,	,	PUNCT
bitcs-886	159	6	max	max	PROPN
bitcs-886	159	7	.	.	PUNCT
bitcs-886	160	1	principles	principle	NOUN
bitcs-886	160	2	of	of	ADP
bitcs-886	160	3	data	datum	NOUN
bitcs-886	160	4	mining	mining	NOUN
bitcs-886	160	5	.	.	PUNCT
bitcs-886	161	1	vol	vol	NOUN
bitcs-886	161	2	.	.	PROPN
bitcs-886	162	1	180	180	NUM
bitcs-886	162	2	.	.	PUNCT
bitcs-886	163	1	london	london	PROPN
bitcs-886	163	2	:	:	PUNCT
bitcs-886	163	3	springer	springer	NOUN
bitcs-886	163	4	,	,	PUNCT
bitcs-886	163	5	2007	2007	NUM
bitcs-886	163	6	.	.	PUNCT
bitcs-886	164	1	[	[	X
bitcs-886	164	2	3	3	NUM
bitcs-886	164	3	]	]	PUNCT
bitcs-886	164	4	basuki	basuki	NOUN
bitcs-886	164	5	,	,	PUNCT
bitcs-886	164	6	achmad	achmad	PROPN
bitcs-886	164	7	dan	dan	PROPN
bitcs-886	164	8	syarif	syarif	PROPN
bitcs-886	164	9	,	,	PUNCT
bitcs-886	164	10	iwan	iwan	PROPN
bitcs-886	164	11	.	.	PUNCT
bitcs-886	164	12	2003	2003	NUM
bitcs-886	164	13	.	.	PUNCT
bitcs-886	165	1	modul	modul	PROPN
bitcs-886	165	2	ajar	ajar	VERB
bitcs-886	165	3	decision	decision	NOUN
bitcs-886	165	4	tree	tree	NOUN
bitcs-886	165	5	.	.	PUNCT
bitcs-886	166	1	surabaya	surabaya	NOUN
bitcs-886	166	2	:	:	PUNCT
bitcs-886	166	3	pens	pen	NOUN
bitcs-886	166	4	-	-	PUNCT
bitcs-886	166	5	its	its	PRON
bitcs-886	166	6	.	.	PUNCT
bitcs-886	167	1	[	[	X
bitcs-886	167	2	4	4	X
bitcs-886	167	3	]	]	X
bitcs-886	167	4	deddy	deddy	NOUN
bitcs-886	167	5	setyawan	setyawan	NOUN
bitcs-886	167	6	,	,	PUNCT
bitcs-886	167	7	“	"	PUNCT
bitcs-886	167	8	analisis	analisis	NOUN
bitcs-886	167	9	kepuasan	kepuasan	PROPN
bitcs-886	167	10	pengguna	pengguna	PROPN
bitcs-886	167	11	jasa	jasa	PROPN
bitcs-886	167	12	transportasi	transportasi	PROPN
bitcs-886	167	13	taksi	taksi	PROPN
bitcs-886	167	14	untuk	untuk	PROPN
bitcs-886	167	15	meningkatkan	meningkatkan	PROPN
bitcs-886	167	16	loyalitas	loyalita	NOUN
bitcs-886	167	17	,	,	PUNCT
bitcs-886	167	18	”	"	PUNCT
bitcs-886	167	19	universitas	universita	NOUN
bitcs-886	167	20	diponegoro	diponegoro	PROPN
bitcs-886	167	21	,	,	PUNCT
bitcs-886	167	22	2010	2010	NUM
bitcs-886	167	23	.	.	PUNCT
bitcs-886	168	1	[	[	X
bitcs-886	168	2	5	5	NUM
bitcs-886	168	3	]	]	X
bitcs-886	168	4	giudici	giudici	NOUN
bitcs-886	168	5	,	,	PUNCT
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bitcs-886	168	7	,	,	PUNCT
bitcs-886	168	8	and	and	CCONJ
bitcs-886	168	9	silvia	silvia	PROPN
bitcs-886	168	10	figini	figini	PROPN
bitcs-886	168	11	.	.	PUNCT
bitcs-886	169	1	front	front	ADJ
bitcs-886	169	2	matter	matter	NOUN
bitcs-886	169	3	.	.	PUNCT
bitcs-886	170	1	john	john	PROPN
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bitcs-886	170	3	&	&	CCONJ
bitcs-886	170	4	sons	sons	PROPN
bitcs-886	170	5	,	,	PUNCT
bitcs-886	170	6	ltd	ltd	PROPN
bitcs-886	170	7	,	,	PUNCT
bitcs-886	170	8	2009.applied	2009.applied	ADJ
bitcs-886	170	9	data	datum	NOUN
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bitcs-886	170	13	and	and	CCONJ
bitcs-886	170	14	industry	industry	NOUN
bitcs-886	170	15	.	.	PUNCT
bitcs-886	171	1	[	[	X
bitcs-886	171	2	6	6	NUM
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bitcs-886	171	4	gorunescu	gorunescu	NOUN
bitcs-886	171	5	,	,	PUNCT
bitcs-886	171	6	florin	florin	PROPN
bitcs-886	171	7	.	.	PUNCT
bitcs-886	172	1	data	data	PROPN
bitcs-886	172	2	mining	mining	PROPN
bitcs-886	172	3	:	:	PUNCT
bitcs-886	172	4	concepts	concept	NOUN
bitcs-886	172	5	,	,	PUNCT
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bitcs-886	172	7	and	and	CCONJ
bitcs-886	172	8	techniques	technique	NOUN
bitcs-886	172	9	.	.	PUNCT
bitcs-886	173	1	vol	vol	NOUN
bitcs-886	173	2	.	.	PROPN
bitcs-886	174	1	12	12	NUM
bitcs-886	174	2	.	.	PUNCT
bitcs-886	174	3	springer	springer	NOUN
bitcs-886	174	4	science	science	PROPN
bitcs-886	174	5	&	&	CCONJ
bitcs-886	174	6	business	business	NOUN
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bitcs-886	174	8	,	,	PUNCT
bitcs-886	174	9	2011	2011	NUM
bitcs-886	174	10	.	.	PUNCT
bitcs-886	175	1	[	[	X
bitcs-886	175	2	7	7	X
bitcs-886	175	3	]	]	X
bitcs-886	175	4	han	han	PROPN
bitcs-886	175	5	j	j	PROPN
bitcs-886	175	6	,	,	PUNCT
bitcs-886	175	7	kamber	kamber	PROPN
bitcs-886	175	8	m.	m.	NOUN
bitcs-886	175	9	2001	2001	NUM
bitcs-886	175	10	.	.	PUNCT
bitcs-886	176	1	data	datum	NOUN
bitcs-886	176	2	mining	mining	NOUN
bitcs-886	176	3	:	:	PUNCT
bitcs-886	176	4	concepts	concept	NOUN
bitcs-886	176	5	and	and	CCONJ
bitcs-886	176	6	techniques	technique	NOUN
bitcs-886	176	7	.	.	PUNCT
bitcs-886	177	1	simon	simon	PROPN
bitcs-886	177	2	fraser	fraser	PROPN
bitcs-886	177	3	university	university	PROPN
bitcs-886	177	4	,	,	PUNCT
bitcs-886	177	5	morgan	morgan	PROPN
bitcs-886	177	6	kaufmann	kaufmann	PROPN
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bitcs-886	177	8	.	.	PUNCT
bitcs-886	178	1	[	[	X
bitcs-886	178	2	8	8	NUM
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bitcs-886	178	4	henny	henny	PROPN
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bitcs-886	178	6	,	,	PUNCT
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bitcs-886	178	8	.	.	PUNCT
bitcs-886	179	1	penerapan	penerapan	PROPN
bitcs-886	179	2	algoritma	algoritma	ADJ
bitcs-886	180	1	k	k	X
bitcs-886	180	2	nearest	near	ADJ
bitcs-886	180	3	neighbor	neighbor	PROPN
bitcs-886	180	4	untuk	untuk	PROPN
bitcs-886	180	5	penentuan	penentuan	PROPN
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bitcs-886	180	9	kendaraan	kendaraan	PROPN
bitcs-886	180	10	bermotor	bermotor	PROPN
bitcs-886	180	11	.	.	PUNCT
bitcs-886	181	1	jurnal	jurnal	ADJ
bitcs-886	181	2	penelitian	penelitian	PROPN
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bitcs-886	181	5	,	,	PUNCT
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bitcs-886	181	8	&	&	CCONJ
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bitcs-886	182	1	[	[	X
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bitcs-886	182	3	]	]	SYM
bitcs-886	182	4	kusrini&luthfi	kusrini&luthfi	PROPN
bitcs-886	182	5	,	,	PUNCT
bitcs-886	182	6	e.t	e.t	PROPN
bitcs-886	182	7	.	.	PROPN
bitcs-886	182	8	2009	2009	NUM
bitcs-886	182	9	.	.	PUNCT
bitcs-886	183	1	algoritma	algoritma	ADJ
bitcs-886	183	2	data	datum	NOUN
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bitcs-886	183	4	.	.	PUNCT
bitcs-886	184	1	yogyakarta	yogyakarta	PROPN
bitcs-886	184	2	:	:	PUNCT
bitcs-886	185	1	andi	andi	PROPN
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bitcs-886	185	3	.	.	PUNCT
bitcs-886	186	1	[	[	X
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bitcs-886	186	3	]	]	PUNCT
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bitcs-886	186	5	,	,	PUNCT
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bitcs-886	186	7	,	,	PUNCT
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bitcs-886	186	9	.	.	PUNCT
bitcs-886	187	1	discovering	discover	VERB
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bitcs-886	187	5	:	:	PUNCT
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bitcs-886	187	11	.	.	PUNCT
bitcs-886	188	1	john	john	PROPN
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bitcs-886	188	3	&	&	CCONJ
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bitcs-886	188	5	,	,	PUNCT
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bitcs-886	188	7	.	.	PUNCT
bitcs-886	189	1	[	[	X
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bitcs-886	189	3	]	]	PUNCT
bitcs-886	189	4	m	m	VERB
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bitcs-886	189	7	,	,	PUNCT
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bitcs-886	189	9	.	.	PROPN
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bitcs-886	189	11	.	.	PUNCT
bitcs-886	190	1	implementasi	implementasi	PROPN
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bitcs-886	190	11	.	.	PUNCT
bitcs-886	191	1	udinus	udinus	PROPN
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bitcs-886	191	3	.	.	PUNCT
bitcs-886	192	1	[	[	X
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bitcs-886	192	3	]	]	PUNCT
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bitcs-886	192	5	,	,	PUNCT
bitcs-886	192	6	david	david	PROPN
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bitcs-886	192	8	.	.	PUNCT
bitcs-886	193	1	"	"	PUNCT
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bitcs-886	193	3	:	:	PUNCT
bitcs-886	193	4	from	from	ADP
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bitcs-886	193	8	and	and	CCONJ
bitcs-886	193	9	f	f	NOUN
bitcs-886	193	10	-	-	PUNCT
bitcs-886	193	11	measure	measure	NOUN
bitcs-886	193	12	to	to	ADP
bitcs-886	193	13	roc	roc	PROPN
bitcs-886	193	14	,	,	PUNCT
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bitcs-886	193	16	,	,	PUNCT
bitcs-886	193	17	markedness	markedness	ADJ
bitcs-886	193	18	and	and	CCONJ
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bitcs-886	193	20	.	.	PUNCT
bitcs-886	193	21	"	"	PUNCT
bitcs-886	194	1	(	(	PUNCT
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bitcs-886	194	3	)	)	PUNCT
bitcs-886	194	4	.	.	PUNCT
bitcs-886	195	1	[	[	X
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bitcs-886	195	3	]	]	SYM
bitcs-886	195	4	rapid	rapid	ADJ
bitcs-886	195	5	-	-	PUNCT
bitcs-886	195	6	i	i	PRON
bitcs-886	195	7	gmbh	gmbh	NOUN
bitcs-886	195	8	.	.	PUNCT
bitcs-886	196	1	(	(	PUNCT
bitcs-886	196	2	2008).rapidminer-4.2	2008).rapidminer-4.2	NOUN
bitcs-886	196	3	-	-	PUNCT
bitcs-886	196	4	tutorial	tutorial	NOUN
bitcs-886	196	5	.	.	PUNCT
bitcs-886	197	1	germany	germany	PROPN
bitcs-886	197	2	:	:	PUNCT
bitcs-886	197	3	rapid	rapid	ADJ
bitcs-886	197	4	-	-	PUNCT
bitcs-886	197	5	i.	i.	NOUN
bitcs-886	198	1	[	[	X
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bitcs-886	198	3	]	]	PUNCT
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bitcs-886	198	6	,	,	PUNCT
bitcs-886	198	7	“	"	PUNCT
bitcs-886	198	8	faktor	faktor	NOUN
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bitcs-886	198	10	faktor	faktor	PROPN
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bitcs-886	198	13	kepuasan	kepuasan	PROPN
bitcs-886	198	14	pengguna	pengguna	PROPN
bitcs-886	198	15	jasa	jasa	PROPN
bitcs-886	198	16	taksi	taksi	PROPN
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bitcs-886	198	19	,	,	PUNCT
bitcs-886	198	20	”	"	PUNCT
bitcs-886	198	21	jakarta	jakarta	PROPN
bitcs-886	198	22	,	,	PUNCT
bitcs-886	198	23	universitas	universita	NOUN
bitcs-886	198	24	gunadarma	gunadarma	NOUN
bitcs-886	198	25	,	,	PUNCT
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bitcs-886	199	1	[	[	X
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bitcs-886	199	4	sachdeva	sachdeva	NOUN
bitcs-886	199	5	,	,	PUNCT
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bitcs-886	199	7	,	,	PUNCT
bitcs-886	199	8	zhu	zhu	PROPN
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bitcs-886	199	10	s.	s.	PROPN
bitcs-886	199	11	,	,	PUNCT
bitcs-886	199	12	wu	wu	PROPN
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bitcs-886	199	17	,	,	PUNCT
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bitcs-886	199	19	,	,	PUNCT
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bitcs-886	199	21	,	,	PUNCT
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bitcs-886	199	23	,	,	PUNCT
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bitcs-886	199	25	,	,	PUNCT
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bitcs-886	199	36	)	)	PUNCT
bitcs-886	199	37	.	.	PUNCT
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bitcs-886	200	2	represses	repress	VERB
bitcs-886	200	3	cmyc	cmyc	NOUN
bitcs-886	200	4	through	through	ADP
bitcs-886	200	5	induction	induction	NOUN
bitcs-886	200	6	of	of	ADP
bitcs-886	200	7	the	the	DET
bitcs-886	200	8	tumor	tumor	NOUN
bitcs-886	200	9	suppressor	suppressor	NOUN
bitcs-886	200	10	mir145	mir145	PROPN
bitcs-886	200	11	.	.	PUNCT
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bitcs-886	201	2	of	of	ADP
bitcs-886	201	3	the	the	DET
bitcs-886	201	4	national	national	PROPN
bitcs-886	201	5	academy	academy	PROPN
bitcs-886	201	6	of	of	ADP
bitcs-886	201	7	sciences	sciences	PROPN
bitcs-886	201	8	,	,	PUNCT
bitcs-886	201	9	106(9	106(9	NUM
bitcs-886	201	10	)	)	PUNCT
bitcs-886	201	11	,	,	PUNCT
bitcs-886	201	12	3207	3207	NUM
bitcs-886	201	13	-	-	SYM
bitcs-886	201	14	3212	3212	NUM
bitcs-886	201	15	.	.	PUNCT
bitcs-886	202	1	[	[	X
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bitcs-886	202	3	]	]	X
bitcs-886	202	4	tan	tan	PROPN
bitcs-886	202	5	s	s	PROPN
bitcs-886	202	6	,	,	PUNCT
bitcs-886	202	7	kumar	kumar	PROPN
bitcs-886	202	8	p	p	PROPN
bitcs-886	202	9	,	,	PUNCT
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bitcs-886	202	12	2005	2005	NUM
bitcs-886	202	13	.	.	PUNCT
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bitcs-886	203	2	to	to	ADP
bitcs-886	203	3	data	datum	NOUN
bitcs-886	203	4	mining	mining	NOUN
bitcs-886	203	5	.	.	PUNCT
bitcs-886	204	1	addison	addison	PROPN
bitcs-886	204	2	wesley	wesley	PROPN
bitcs-886	204	3	.	.	PUNCT