id	sid	tid	token	lemma	pos
ajst-25807	1	1	academic	academic	ADJ
ajst-25807	1	2	journal	journal	NOUN
ajst-25807	1	3	of	of	ADP
ajst-25807	1	4	science	science	NOUN
ajst-25807	1	5	and	and	CCONJ
ajst-25807	1	6	technology	technology	NOUN
ajst-25807	1	7	issn	issn	NOUN
ajst-25807	1	8	:	:	PUNCT
ajst-25807	1	9	2771	2771	NUM
ajst-25807	1	10	-	-	SYM
ajst-25807	1	11	3032	3032	NUM
ajst-25807	1	12	|	|	NOUN
ajst-25807	1	13	vol	vol	NOUN
ajst-25807	1	14	.	.	PROPN
ajst-25807	2	1	12	12	NUM
ajst-25807	2	2	,	,	PUNCT
ajst-25807	2	3	no	no	INTJ
ajst-25807	2	4	.	.	NOUN
ajst-25807	2	5	3	3	NUM
ajst-25807	2	6	,	,	PUNCT
ajst-25807	2	7	2024	2024	NUM
ajst-25807	2	8	16	16	NUM
ajst-25807	2	9	research	research	NOUN
ajst-25807	2	10	on	on	ADP
ajst-25807	2	11	data	datum	NOUN
ajst-25807	2	12	quality	quality	NOUN
ajst-25807	2	13	analysis	analysis	NOUN
ajst-25807	2	14	based	base	VERB
ajst-25807	2	15	on	on	ADP
ajst-25807	2	16	data	data	NOUN
ajst-25807	2	17	mining	mining	NOUN
ajst-25807	2	18	jieting	jieting	PROPN
ajst-25807	2	19	lian	lian	PROPN
ajst-25807	2	20	new	new	PROPN
ajst-25807	2	21	york	york	PROPN
ajst-25807	2	22	university	university	PROPN
ajst-25807	2	23	,	,	PUNCT
ajst-25807	2	24	new	new	PROPN
ajst-25807	2	25	york	york	PROPN
ajst-25807	2	26	,	,	PUNCT
ajst-25807	2	27	us	us	PROPN
ajst-25807	2	28	abstract	abstract	ADJ
ajst-25807	2	29	:	:	PUNCT
ajst-25807	2	30	as	as	SCONJ
ajst-25807	2	31	the	the	DET
ajst-25807	2	32	process	process	NOUN
ajst-25807	2	33	of	of	ADP
ajst-25807	2	34	digitalization	digitalization	NOUN
ajst-25807	2	35	continues	continue	VERB
ajst-25807	2	36	to	to	PART
ajst-25807	2	37	advance	advance	VERB
ajst-25807	2	38	,	,	PUNCT
ajst-25807	2	39	big	big	ADJ
ajst-25807	2	40	data	datum	NOUN
ajst-25807	2	41	plays	play	VERB
ajst-25807	2	42	a	a	DET
ajst-25807	2	43	pivotal	pivotal	ADJ
ajst-25807	2	44	role	role	NOUN
ajst-25807	2	45	across	across	ADP
ajst-25807	2	46	various	various	ADJ
ajst-25807	2	47	industries	industry	NOUN
ajst-25807	2	48	.	.	PUNCT
ajst-25807	3	1	however	however	ADV
ajst-25807	3	2	,	,	PUNCT
ajst-25807	3	3	the	the	DET
ajst-25807	3	4	quality	quality	NOUN
ajst-25807	3	5	of	of	ADP
ajst-25807	3	6	data	datum	NOUN
ajst-25807	3	7	directly	directly	ADV
ajst-25807	3	8	impacts	impact	VERB
ajst-25807	3	9	the	the	DET
ajst-25807	3	10	results	result	NOUN
ajst-25807	3	11	of	of	ADP
ajst-25807	3	12	data	datum	NOUN
ajst-25807	3	13	analysis	analysis	NOUN
ajst-25807	3	14	and	and	CCONJ
ajst-25807	3	15	the	the	DET
ajst-25807	3	16	accuracy	accuracy	NOUN
ajst-25807	3	17	of	of	ADP
ajst-25807	3	18	decision	decision	NOUN
ajst-25807	3	19	-	-	PUNCT
ajst-25807	3	20	making	making	NOUN
ajst-25807	3	21	.	.	PUNCT
ajst-25807	4	1	high	high	ADJ
ajst-25807	4	2	-	-	PUNCT
ajst-25807	4	3	quality	quality	NOUN
ajst-25807	4	4	data	datum	NOUN
ajst-25807	4	5	can	can	AUX
ajst-25807	4	6	provide	provide	VERB
ajst-25807	4	7	a	a	DET
ajst-25807	4	8	reliable	reliable	ADJ
ajst-25807	4	9	basis	basis	NOUN
ajst-25807	4	10	for	for	ADP
ajst-25807	4	11	decisions	decision	NOUN
ajst-25807	4	12	,	,	PUNCT
ajst-25807	4	13	whereas	whereas	SCONJ
ajst-25807	4	14	poor	poor	ADJ
ajst-25807	4	15	-	-	PUNCT
ajst-25807	4	16	quality	quality	NOUN
ajst-25807	4	17	data	datum	NOUN
ajst-25807	4	18	may	may	AUX
ajst-25807	4	19	lead	lead	VERB
ajst-25807	4	20	to	to	ADP
ajst-25807	4	21	erroneous	erroneous	ADJ
ajst-25807	4	22	judgments	judgment	NOUN
ajst-25807	4	23	and	and	CCONJ
ajst-25807	4	24	cause	cause	VERB
ajst-25807	4	25	incalculable	incalculable	ADJ
ajst-25807	4	26	losses	loss	NOUN
ajst-25807	4	27	.	.	PUNCT
ajst-25807	5	1	therefore	therefore	ADV
ajst-25807	5	2	,	,	PUNCT
ajst-25807	5	3	the	the	DET
ajst-25807	5	4	management	management	NOUN
ajst-25807	5	5	and	and	CCONJ
ajst-25807	5	6	enhancement	enhancement	NOUN
ajst-25807	5	7	of	of	ADP
ajst-25807	5	8	data	datum	NOUN
ajst-25807	5	9	quality	quality	NOUN
ajst-25807	5	10	have	have	AUX
ajst-25807	5	11	become	become	VERB
ajst-25807	5	12	central	central	ADJ
ajst-25807	5	13	issues	issue	NOUN
ajst-25807	5	14	in	in	ADP
ajst-25807	5	15	contemporary	contemporary	ADJ
ajst-25807	5	16	data	datum	NOUN
ajst-25807	5	17	management	management	NOUN
ajst-25807	5	18	.	.	PUNCT
ajst-25807	6	1	data	datum	NOUN
ajst-25807	6	2	mining	mining	NOUN
ajst-25807	6	3	technology	technology	NOUN
ajst-25807	6	4	,	,	PUNCT
ajst-25807	6	5	as	as	ADP
ajst-25807	6	6	a	a	DET
ajst-25807	6	7	powerful	powerful	ADJ
ajst-25807	6	8	tool	tool	NOUN
ajst-25807	6	9	,	,	PUNCT
ajst-25807	6	10	excels	excel	VERB
ajst-25807	6	11	not	not	PART
ajst-25807	6	12	only	only	ADV
ajst-25807	6	13	in	in	ADP
ajst-25807	6	14	extracting	extract	VERB
ajst-25807	6	15	valuable	valuable	ADJ
ajst-25807	6	16	information	information	NOUN
ajst-25807	6	17	from	from	ADP
ajst-25807	6	18	large	large	ADJ
ajst-25807	6	19	-	-	PUNCT
ajst-25807	6	20	scale	scale	NOUN
ajst-25807	6	21	datasets	dataset	NOUN
ajst-25807	6	22	but	but	CCONJ
ajst-25807	6	23	also	also	ADV
ajst-25807	6	24	in	in	ADP
ajst-25807	6	25	demonstrating	demonstrate	VERB
ajst-25807	6	26	significant	significant	ADJ
ajst-25807	6	27	potential	potential	NOUN
ajst-25807	6	28	in	in	ADP
ajst-25807	6	29	improving	improve	VERB
ajst-25807	6	30	data	datum	NOUN
ajst-25807	6	31	quality	quality	NOUN
ajst-25807	6	32	.	.	PUNCT
ajst-25807	7	1	by	by	ADP
ajst-25807	7	2	mining	mining	NOUN
ajst-25807	7	3	and	and	CCONJ
ajst-25807	7	4	analyzing	analyze	VERB
ajst-25807	7	5	the	the	DET
ajst-25807	7	6	patterns	pattern	NOUN
ajst-25807	7	7	and	and	CCONJ
ajst-25807	7	8	characteristics	characteristic	NOUN
ajst-25807	7	9	hidden	hide	VERB
ajst-25807	7	10	within	within	ADP
ajst-25807	7	11	data	datum	NOUN
ajst-25807	7	12	,	,	PUNCT
ajst-25807	7	13	it	it	PRON
ajst-25807	7	14	is	be	AUX
ajst-25807	7	15	possible	possible	ADJ
ajst-25807	7	16	to	to	PART
ajst-25807	7	17	identify	identify	VERB
ajst-25807	7	18	and	and	CCONJ
ajst-25807	7	19	rectify	rectify	VERB
ajst-25807	7	20	defects	defect	NOUN
ajst-25807	7	21	,	,	PUNCT
ajst-25807	7	22	thereby	thereby	ADV
ajst-25807	7	23	enhancing	enhance	VERB
ajst-25807	7	24	the	the	DET
ajst-25807	7	25	overall	overall	ADJ
ajst-25807	7	26	quality	quality	NOUN
ajst-25807	7	27	of	of	ADP
ajst-25807	7	28	data	datum	NOUN
ajst-25807	7	29	and	and	CCONJ
ajst-25807	7	30	increasing	increase	VERB
ajst-25807	7	31	the	the	DET
ajst-25807	7	32	reliability	reliability	NOUN
ajst-25807	7	33	of	of	ADP
ajst-25807	7	34	data	data	NOUN
ajst-25807	7	35	-	-	PUNCT
ajst-25807	7	36	driven	drive	VERB
ajst-25807	7	37	decision	decision	NOUN
ajst-25807	7	38	-	-	PUNCT
ajst-25807	7	39	making	making	NOUN
ajst-25807	7	40	.	.	PUNCT
ajst-25807	8	1	this	this	DET
ajst-25807	8	2	paper	paper	NOUN
ajst-25807	8	3	delves	delve	VERB
ajst-25807	8	4	into	into	ADP
ajst-25807	8	5	the	the	DET
ajst-25807	8	6	definition	definition	NOUN
ajst-25807	8	7	and	and	CCONJ
ajst-25807	8	8	dimensions	dimension	NOUN
ajst-25807	8	9	of	of	ADP
ajst-25807	8	10	data	datum	NOUN
ajst-25807	8	11	quality	quality	NOUN
ajst-25807	8	12	,	,	PUNCT
ajst-25807	8	13	explores	explore	VERB
ajst-25807	8	14	the	the	DET
ajst-25807	8	15	fundamental	fundamental	ADJ
ajst-25807	8	16	principles	principle	NOUN
ajst-25807	8	17	of	of	ADP
ajst-25807	8	18	data	datum	NOUN
ajst-25807	8	19	mining	mining	NOUN
ajst-25807	8	20	technology	technology	NOUN
ajst-25807	8	21	,	,	PUNCT
ajst-25807	8	22	and	and	CCONJ
ajst-25807	8	23	examines	examine	VERB
ajst-25807	8	24	its	its	PRON
ajst-25807	8	25	specific	specific	ADJ
ajst-25807	8	26	applications	application	NOUN
ajst-25807	8	27	in	in	ADP
ajst-25807	8	28	data	datum	NOUN
ajst-25807	8	29	quality	quality	NOUN
ajst-25807	8	30	analysis	analysis	NOUN
ajst-25807	8	31	,	,	PUNCT
ajst-25807	8	32	aiming	aim	VERB
ajst-25807	8	33	to	to	PART
ajst-25807	8	34	offer	offer	VERB
ajst-25807	8	35	new	new	ADJ
ajst-25807	8	36	insights	insight	NOUN
ajst-25807	8	37	and	and	CCONJ
ajst-25807	8	38	methods	method	NOUN
ajst-25807	8	39	for	for	ADP
ajst-25807	8	40	data	datum	NOUN
ajst-25807	8	41	quality	quality	NOUN
ajst-25807	8	42	management	management	NOUN
ajst-25807	8	43	.	.	PUNCT
ajst-25807	9	1	keywords	keyword	NOUN
ajst-25807	9	2	:	:	PUNCT
ajst-25807	9	3	data	datum	NOUN
ajst-25807	9	4	mining	mining	NOUN
ajst-25807	9	5	;	;	PUNCT
ajst-25807	9	6	data	datum	NOUN
ajst-25807	9	7	quality	quality	NOUN
ajst-25807	9	8	;	;	PUNCT
ajst-25807	9	9	analysis	analysis	NOUN
ajst-25807	9	10	.	.	PUNCT
ajst-25807	10	1	1	1	X
ajst-25807	10	2	.	.	X
ajst-25807	10	3	introduction	introduction	NOUN
ajst-25807	10	4	in	in	ADP
ajst-25807	10	5	today	today	NOUN
ajst-25807	10	6	's	's	PART
ajst-25807	10	7	information	information	NOUN
ajst-25807	10	8	-	-	PUNCT
ajst-25807	10	9	driven	drive	VERB
ajst-25807	10	10	society	society	NOUN
ajst-25807	10	11	,	,	PUNCT
ajst-25807	10	12	data	datum	NOUN
ajst-25807	10	13	has	have	AUX
ajst-25807	10	14	become	become	VERB
ajst-25807	10	15	a	a	DET
ajst-25807	10	16	crucial	crucial	ADJ
ajst-25807	10	17	asset	asset	NOUN
ajst-25807	10	18	for	for	ADP
ajst-25807	10	19	organizations	organization	NOUN
ajst-25807	10	20	.	.	PUNCT
ajst-25807	11	1	however	however	ADV
ajst-25807	11	2	,	,	PUNCT
ajst-25807	11	3	issues	issue	NOUN
ajst-25807	11	4	with	with	ADP
ajst-25807	11	5	data	datum	NOUN
ajst-25807	11	6	quality	quality	NOUN
ajst-25807	11	7	are	be	AUX
ajst-25807	11	8	pervasive	pervasive	ADJ
ajst-25807	11	9	,	,	PUNCT
ajst-25807	11	10	affecting	affect	VERB
ajst-25807	11	11	the	the	DET
ajst-25807	11	12	efficacy	efficacy	NOUN
ajst-25807	11	13	of	of	ADP
ajst-25807	11	14	data	data	NOUN
ajst-25807	11	15	-	-	PUNCT
ajst-25807	11	16	driven	drive	VERB
ajst-25807	11	17	decision	decision	NOUN
ajst-25807	11	18	-	-	PUNCT
ajst-25807	11	19	making	making	NOUN
ajst-25807	11	20	.	.	PUNCT
ajst-25807	12	1	problems	problem	NOUN
ajst-25807	12	2	such	such	ADJ
ajst-25807	12	3	as	as	ADP
ajst-25807	12	4	data	data	NOUN
ajst-25807	12	5	omission	omission	NOUN
ajst-25807	12	6	,	,	PUNCT
ajst-25807	12	7	inconsistencies	inconsistency	NOUN
ajst-25807	12	8	,	,	PUNCT
ajst-25807	12	9	and	and	CCONJ
ajst-25807	12	10	duplicate	duplicate	ADJ
ajst-25807	12	11	records	record	NOUN
ajst-25807	12	12	can	can	AUX
ajst-25807	12	13	lead	lead	VERB
ajst-25807	12	14	to	to	ADP
ajst-25807	12	15	skewed	skewed	ADJ
ajst-25807	12	16	analytical	analytical	ADJ
ajst-25807	12	17	outcomes	outcome	NOUN
ajst-25807	12	18	and	and	CCONJ
ajst-25807	12	19	erroneous	erroneous	ADJ
ajst-25807	12	20	decisions	decision	NOUN
ajst-25807	12	21	.	.	PUNCT
ajst-25807	13	1	while	while	SCONJ
ajst-25807	13	2	traditional	traditional	ADJ
ajst-25807	13	3	data	data	NOUN
ajst-25807	13	4	quality	quality	NOUN
ajst-25807	13	5	management	management	NOUN
ajst-25807	13	6	methods	method	NOUN
ajst-25807	13	7	can	can	AUX
ajst-25807	13	8	alleviate	alleviate	VERB
ajst-25807	13	9	these	these	DET
ajst-25807	13	10	issues	issue	NOUN
ajst-25807	13	11	to	to	ADP
ajst-25807	13	12	some	some	DET
ajst-25807	13	13	extent	extent	NOUN
ajst-25807	13	14	,	,	PUNCT
ajst-25807	13	15	they	they	PRON
ajst-25807	13	16	often	often	ADV
ajst-25807	13	17	fall	fall	VERB
ajst-25807	13	18	short	short	ADJ
ajst-25807	13	19	when	when	SCONJ
ajst-25807	13	20	dealing	deal	VERB
ajst-25807	13	21	with	with	ADP
ajst-25807	13	22	large	large	ADJ
ajst-25807	13	23	-	-	PUNCT
ajst-25807	13	24	scale	scale	NOUN
ajst-25807	13	25	,	,	PUNCT
ajst-25807	13	26	multidimensional	multidimensional	ADJ
ajst-25807	13	27	,	,	PUNCT
ajst-25807	13	28	and	and	CCONJ
ajst-25807	13	29	dynamically	dynamically	ADV
ajst-25807	13	30	evolving	evolve	VERB
ajst-25807	13	31	datasets	dataset	NOUN
ajst-25807	13	32	.	.	PUNCT
ajst-25807	14	1	data	datum	NOUN
ajst-25807	14	2	mining	mining	NOUN
ajst-25807	14	3	techniques	technique	NOUN
ajst-25807	14	4	have	have	AUX
ajst-25807	14	5	increasingly	increasingly	ADV
ajst-25807	14	6	emerged	emerge	VERB
ajst-25807	14	7	as	as	ADP
ajst-25807	14	8	a	a	DET
ajst-25807	14	9	vital	vital	ADJ
ajst-25807	14	10	tool	tool	NOUN
ajst-25807	14	11	for	for	ADP
ajst-25807	14	12	data	datum	NOUN
ajst-25807	14	13	quality	quality	NOUN
ajst-25807	14	14	analysis	analysis	NOUN
ajst-25807	14	15	and	and	CCONJ
ajst-25807	14	16	management	management	NOUN
ajst-25807	14	17	due	due	ADP
ajst-25807	14	18	to	to	ADP
ajst-25807	14	19	their	their	PRON
ajst-25807	14	20	ability	ability	NOUN
ajst-25807	14	21	to	to	PART
ajst-25807	14	22	automatically	automatically	ADV
ajst-25807	14	23	uncover	uncover	VERB
ajst-25807	14	24	latent	latent	NOUN
ajst-25807	14	25	patterns	pattern	NOUN
ajst-25807	14	26	and	and	CCONJ
ajst-25807	14	27	anomalies	anomaly	NOUN
ajst-25807	14	28	within	within	ADP
ajst-25807	14	29	vast	vast	ADJ
ajst-25807	14	30	amounts	amount	NOUN
ajst-25807	14	31	of	of	ADP
ajst-25807	14	32	data	datum	NOUN
ajst-25807	14	33	.	.	PUNCT
ajst-25807	15	1	these	these	DET
ajst-25807	15	2	techniques	technique	NOUN
ajst-25807	15	3	not	not	PART
ajst-25807	15	4	only	only	ADV
ajst-25807	15	5	effectively	effectively	ADV
ajst-25807	15	6	identify	identify	VERB
ajst-25807	15	7	errors	error	NOUN
ajst-25807	15	8	and	and	CCONJ
ajst-25807	15	9	irregularities	irregularity	NOUN
ajst-25807	15	10	in	in	ADP
ajst-25807	15	11	data	datum	NOUN
ajst-25807	15	12	but	but	CCONJ
ajst-25807	15	13	also	also	ADV
ajst-25807	15	14	enhance	enhance	VERB
ajst-25807	15	15	data	data	NOUN
ajst-25807	15	16	structure	structure	NOUN
ajst-25807	15	17	through	through	ADP
ajst-25807	15	18	predictive	predictive	ADJ
ajst-25807	15	19	models	model	NOUN
ajst-25807	15	20	and	and	CCONJ
ajst-25807	15	21	clustering	clustering	ADJ
ajst-25807	15	22	algorithms	algorithm	NOUN
ajst-25807	15	23	,	,	PUNCT
ajst-25807	15	24	thereby	thereby	ADV
ajst-25807	15	25	improving	improve	VERB
ajst-25807	15	26	consistency	consistency	NOUN
ajst-25807	15	27	and	and	CCONJ
ajst-25807	15	28	accuracy	accuracy	NOUN
ajst-25807	15	29	.	.	PUNCT
ajst-25807	16	1	exploring	explore	VERB
ajst-25807	16	2	the	the	DET
ajst-25807	16	3	application	application	NOUN
ajst-25807	16	4	of	of	ADP
ajst-25807	16	5	data	datum	NOUN
ajst-25807	16	6	mining	mining	NOUN
ajst-25807	16	7	technology	technology	NOUN
ajst-25807	16	8	in	in	ADP
ajst-25807	16	9	data	datum	NOUN
ajst-25807	16	10	quality	quality	NOUN
ajst-25807	16	11	management	management	NOUN
ajst-25807	16	12	is	be	AUX
ajst-25807	16	13	not	not	PART
ajst-25807	16	14	merely	merely	ADV
ajst-25807	16	15	an	an	DET
ajst-25807	16	16	enhancement	enhancement	NOUN
ajst-25807	16	17	of	of	ADP
ajst-25807	16	18	existing	exist	VERB
ajst-25807	16	19	methods	method	NOUN
ajst-25807	16	20	but	but	CCONJ
ajst-25807	16	21	represents	represent	VERB
ajst-25807	16	22	a	a	DET
ajst-25807	16	23	significant	significant	ADJ
ajst-25807	16	24	innovative	innovative	ADJ
ajst-25807	16	25	direction	direction	NOUN
ajst-25807	16	26	in	in	ADP
ajst-25807	16	27	the	the	DET
ajst-25807	16	28	field	field	NOUN
ajst-25807	16	29	of	of	ADP
ajst-25807	16	30	data	datum	NOUN
ajst-25807	16	31	management	management	NOUN
ajst-25807	16	32	,	,	PUNCT
ajst-25807	16	33	offering	offer	VERB
ajst-25807	16	34	substantial	substantial	ADJ
ajst-25807	16	35	practical	practical	ADJ
ajst-25807	16	36	value	value	NOUN
ajst-25807	16	37	[	[	X
ajst-25807	16	38	1	1	NUM
ajst-25807	16	39	]	]	PUNCT
ajst-25807	16	40	.	.	PUNCT
ajst-25807	17	1	2	2	X
ajst-25807	17	2	.	.	X
ajst-25807	17	3	definition	definition	NOUN
ajst-25807	17	4	and	and	CCONJ
ajst-25807	17	5	dimensions	dimension	NOUN
ajst-25807	17	6	of	of	ADP
ajst-25807	17	7	data	datum	NOUN
ajst-25807	17	8	quality	quality	NOUN
ajst-25807	17	9	data	datum	NOUN
ajst-25807	17	10	quality	quality	NOUN
ajst-25807	17	11	is	be	AUX
ajst-25807	17	12	a	a	DET
ajst-25807	17	13	fundamental	fundamental	ADJ
ajst-25807	17	14	pillar	pillar	NOUN
ajst-25807	17	15	in	in	ADP
ajst-25807	17	16	the	the	DET
ajst-25807	17	17	process	process	NOUN
ajst-25807	17	18	of	of	ADP
ajst-25807	17	19	data	datum	NOUN
ajst-25807	17	20	analysis	analysis	NOUN
ajst-25807	17	21	and	and	CCONJ
ajst-25807	17	22	decision	decision	NOUN
ajst-25807	17	23	-	-	PUNCT
ajst-25807	17	24	making	making	NOUN
ajst-25807	17	25	,	,	PUNCT
ajst-25807	17	26	directly	directly	ADV
ajst-25807	17	27	affecting	affect	VERB
ajst-25807	17	28	the	the	DET
ajst-25807	17	29	credibility	credibility	NOUN
ajst-25807	17	30	and	and	CCONJ
ajst-25807	17	31	efficacy	efficacy	NOUN
ajst-25807	17	32	of	of	ADP
ajst-25807	17	33	data	datum	NOUN
ajst-25807	17	34	applications	application	NOUN
ajst-25807	17	35	.	.	PUNCT
ajst-25807	18	1	its	its	PRON
ajst-25807	18	2	core	core	NOUN
ajst-25807	18	3	dimensions	dimension	NOUN
ajst-25807	18	4	encompass	encompass	NOUN
ajst-25807	18	5	accuracy	accuracy	NOUN
ajst-25807	18	6	,	,	PUNCT
ajst-25807	18	7	completeness	completeness	NOUN
ajst-25807	18	8	,	,	PUNCT
ajst-25807	18	9	consistency	consistency	NOUN
ajst-25807	18	10	,	,	PUNCT
ajst-25807	18	11	timeliness	timeliness	NOUN
ajst-25807	18	12	,	,	PUNCT
ajst-25807	18	13	and	and	CCONJ
ajst-25807	18	14	reliability	reliability	NOUN
ajst-25807	18	15	.	.	PUNCT
ajst-25807	19	1	accuracy	accuracy	NOUN
ajst-25807	19	2	pertains	pertain	VERB
ajst-25807	19	3	to	to	ADP
ajst-25807	19	4	the	the	DET
ajst-25807	19	5	ability	ability	NOUN
ajst-25807	19	6	of	of	ADP
ajst-25807	19	7	data	datum	NOUN
ajst-25807	19	8	to	to	PART
ajst-25807	19	9	faithfully	faithfully	ADV
ajst-25807	19	10	reflect	reflect	VERB
ajst-25807	19	11	objective	objective	ADJ
ajst-25807	19	12	reality	reality	NOUN
ajst-25807	19	13	,	,	PUNCT
ajst-25807	19	14	representing	represent	VERB
ajst-25807	19	15	a	a	DET
ajst-25807	19	16	fundamental	fundamental	ADJ
ajst-25807	19	17	requirement	requirement	NOUN
ajst-25807	19	18	of	of	ADP
ajst-25807	19	19	data	datum	NOUN
ajst-25807	19	20	quality	quality	NOUN
ajst-25807	19	21	;	;	PUNCT
ajst-25807	19	22	completeness	completeness	NOUN
ajst-25807	19	23	emphasizes	emphasize	VERB
ajst-25807	19	24	the	the	DET
ajst-25807	19	25	comprehensiveness	comprehensiveness	NOUN
ajst-25807	19	26	of	of	ADP
ajst-25807	19	27	data	datum	NOUN
ajst-25807	19	28	,	,	PUNCT
ajst-25807	19	29	where	where	SCONJ
ajst-25807	19	30	missing	miss	VERB
ajst-25807	19	31	information	information	NOUN
ajst-25807	19	32	may	may	AUX
ajst-25807	19	33	lead	lead	VERB
ajst-25807	19	34	to	to	ADP
ajst-25807	19	35	asymmetries	asymmetry	NOUN
ajst-25807	19	36	that	that	PRON
ajst-25807	19	37	impact	impact	VERB
ajst-25807	19	38	the	the	DET
ajst-25807	19	39	reliability	reliability	NOUN
ajst-25807	19	40	of	of	ADP
ajst-25807	19	41	analysis	analysis	NOUN
ajst-25807	19	42	results	result	NOUN
ajst-25807	19	43	;	;	PUNCT
ajst-25807	19	44	consistency	consistency	NOUN
ajst-25807	19	45	ensures	ensure	VERB
ajst-25807	19	46	that	that	SCONJ
ajst-25807	19	47	data	datum	NOUN
ajst-25807	19	48	remains	remain	VERB
ajst-25807	19	49	coherent	coherent	ADJ
ajst-25807	19	50	across	across	ADP
ajst-25807	19	51	different	different	ADJ
ajst-25807	19	52	sources	source	NOUN
ajst-25807	19	53	and	and	CCONJ
ajst-25807	19	54	time	time	NOUN
ajst-25807	19	55	points	point	NOUN
ajst-25807	19	56	,	,	PUNCT
ajst-25807	19	57	avoiding	avoid	VERB
ajst-25807	19	58	conflicts	conflict	NOUN
ajst-25807	19	59	and	and	CCONJ
ajst-25807	19	60	misinterpretations	misinterpretation	NOUN
ajst-25807	19	61	;	;	PUNCT
ajst-25807	19	62	timeliness	timeliness	NOUN
ajst-25807	19	63	requires	require	VERB
ajst-25807	19	64	data	datum	NOUN
ajst-25807	19	65	to	to	PART
ajst-25807	19	66	reflect	reflect	VERB
ajst-25807	19	67	the	the	DET
ajst-25807	19	68	most	most	ADV
ajst-25807	19	69	current	current	ADJ
ajst-25807	19	70	status	status	NOUN
ajst-25807	19	71	,	,	PUNCT
ajst-25807	19	72	which	which	PRON
ajst-25807	19	73	is	be	AUX
ajst-25807	19	74	crucial	crucial	ADJ
ajst-25807	19	75	in	in	ADP
ajst-25807	19	76	realtime	realtime	ADJ
ajst-25807	19	77	decision	decision	NOUN
ajst-25807	19	78	-	-	PUNCT
ajst-25807	19	79	making	make	VERB
ajst-25807	19	80	scenarios	scenario	NOUN
ajst-25807	19	81	;	;	PUNCT
ajst-25807	19	82	reliability	reliability	NOUN
ajst-25807	19	83	refers	refer	VERB
ajst-25807	19	84	to	to	ADP
ajst-25807	19	85	the	the	DET
ajst-25807	19	86	stability	stability	NOUN
ajst-25807	19	87	of	of	ADP
ajst-25807	19	88	data	datum	NOUN
ajst-25807	19	89	throughout	throughout	ADP
ajst-25807	19	90	its	its	PRON
ajst-25807	19	91	acquisition	acquisition	NOUN
ajst-25807	19	92	,	,	PUNCT
ajst-25807	19	93	storage	storage	NOUN
ajst-25807	19	94	,	,	PUNCT
ajst-25807	19	95	and	and	CCONJ
ajst-25807	19	96	transmission	transmission	NOUN
ajst-25807	19	97	processes	process	NOUN
ajst-25807	19	98	,	,	PUNCT
ajst-25807	19	99	free	free	ADJ
ajst-25807	19	100	from	from	ADP
ajst-25807	19	101	external	external	ADJ
ajst-25807	19	102	disruptions	disruption	NOUN
ajst-25807	19	103	.	.	PUNCT
ajst-25807	20	1	these	these	DET
ajst-25807	20	2	dimensions	dimension	NOUN
ajst-25807	20	3	are	be	AUX
ajst-25807	20	4	interrelated	interrelated	ADJ
ajst-25807	20	5	and	and	CCONJ
ajst-25807	20	6	collectively	collectively	ADV
ajst-25807	20	7	determine	determine	VERB
ajst-25807	20	8	the	the	DET
ajst-25807	20	9	overall	overall	ADJ
ajst-25807	20	10	quality	quality	NOUN
ajst-25807	20	11	of	of	ADP
ajst-25807	20	12	data	datum	NOUN
ajst-25807	20	13	.	.	PUNCT
ajst-25807	21	1	in	in	ADP
ajst-25807	21	2	the	the	DET
ajst-25807	21	3	era	era	NOUN
ajst-25807	21	4	of	of	ADP
ajst-25807	21	5	big	big	ADJ
ajst-25807	21	6	data	datum	NOUN
ajst-25807	21	7	,	,	PUNCT
ajst-25807	21	8	with	with	ADP
ajst-25807	21	9	the	the	DET
ajst-25807	21	10	diversification	diversification	NOUN
ajst-25807	21	11	and	and	CCONJ
ajst-25807	21	12	complexity	complexity	NOUN
ajst-25807	21	13	of	of	ADP
ajst-25807	21	14	data	datum	NOUN
ajst-25807	21	15	sources	source	NOUN
ajst-25807	21	16	,	,	PUNCT
ajst-25807	21	17	the	the	DET
ajst-25807	21	18	demand	demand	NOUN
ajst-25807	21	19	for	for	ADP
ajst-25807	21	20	high	high	ADJ
ajst-25807	21	21	standards	standard	NOUN
ajst-25807	21	22	of	of	ADP
ajst-25807	21	23	data	datum	NOUN
ajst-25807	21	24	quality	quality	NOUN
ajst-25807	21	25	has	have	AUX
ajst-25807	21	26	become	become	VERB
ajst-25807	21	27	increasingly	increasingly	ADV
ajst-25807	21	28	apparent	apparent	ADJ
ajst-25807	21	29	,	,	PUNCT
ajst-25807	21	30	necessitating	necessitate	VERB
ajst-25807	21	31	the	the	DET
ajst-25807	21	32	development	development	NOUN
ajst-25807	21	33	of	of	ADP
ajst-25807	21	34	systematic	systematic	ADJ
ajst-25807	21	35	evaluation	evaluation	NOUN
ajst-25807	21	36	and	and	CCONJ
ajst-25807	21	37	enhancement	enhancement	NOUN
ajst-25807	21	38	methods	method	NOUN
ajst-25807	21	39	.	.	PUNCT
ajst-25807	22	1	this	this	PRON
ajst-25807	22	2	creates	create	VERB
ajst-25807	22	3	extensive	extensive	ADJ
ajst-25807	22	4	opportunities	opportunity	NOUN
ajst-25807	22	5	for	for	ADP
ajst-25807	22	6	the	the	DET
ajst-25807	22	7	application	application	NOUN
ajst-25807	22	8	of	of	ADP
ajst-25807	22	9	data	datum	NOUN
ajst-25807	22	10	mining	mining	NOUN
ajst-25807	22	11	techniques	technique	NOUN
ajst-25807	22	12	in	in	ADP
ajst-25807	22	13	data	datum	NOUN
ajst-25807	22	14	quality	quality	NOUN
ajst-25807	22	15	management	management	NOUN
ajst-25807	22	16	.	.	PUNCT
ajst-25807	23	1	3	3	X
ajst-25807	23	2	.	.	X
ajst-25807	23	3	overview	overview	NOUN
ajst-25807	23	4	of	of	ADP
ajst-25807	23	5	data	datum	NOUN
ajst-25807	23	6	mining	mining	NOUN
ajst-25807	23	7	techniques	technique	NOUN
ajst-25807	23	8	3.1	3.1	NUM
ajst-25807	23	9	.	.	PUNCT
ajst-25807	24	1	fundamentals	fundamental	NOUN
ajst-25807	24	2	of	of	ADP
ajst-25807	24	3	data	datum	NOUN
ajst-25807	24	4	mining	mine	VERB
ajst-25807	24	5	the	the	DET
ajst-25807	24	6	essence	essence	NOUN
ajst-25807	24	7	of	of	ADP
ajst-25807	24	8	data	datum	NOUN
ajst-25807	24	9	mining	mining	NOUN
ajst-25807	24	10	lies	lie	NOUN
ajst-25807	24	11	in	in	ADP
ajst-25807	24	12	the	the	DET
ajst-25807	24	13	automated	automate	VERB
ajst-25807	24	14	extraction	extraction	NOUN
ajst-25807	24	15	of	of	ADP
ajst-25807	24	16	valuable	valuable	ADJ
ajst-25807	24	17	patterns	pattern	NOUN
ajst-25807	24	18	,	,	PUNCT
ajst-25807	24	19	rules	rule	NOUN
ajst-25807	24	20	,	,	PUNCT
ajst-25807	24	21	or	or	CCONJ
ajst-25807	24	22	knowledge	knowledge	NOUN
ajst-25807	24	23	from	from	ADP
ajst-25807	24	24	vast	vast	ADJ
ajst-25807	24	25	quantities	quantity	NOUN
ajst-25807	24	26	of	of	ADP
ajst-25807	24	27	data	datum	NOUN
ajst-25807	24	28	.	.	PUNCT
ajst-25807	25	1	this	this	DET
ajst-25807	25	2	process	process	NOUN
ajst-25807	25	3	is	be	AUX
ajst-25807	25	4	grounded	ground	VERB
ajst-25807	25	5	in	in	ADP
ajst-25807	25	6	statistics	statistic	NOUN
ajst-25807	25	7	,	,	PUNCT
ajst-25807	25	8	machine	machine	NOUN
ajst-25807	25	9	learning	learning	NOUN
ajst-25807	25	10	,	,	PUNCT
ajst-25807	25	11	and	and	CCONJ
ajst-25807	25	12	database	database	NOUN
ajst-25807	25	13	systems	system	NOUN
ajst-25807	25	14	,	,	PUNCT
ajst-25807	25	15	uncovering	uncover	VERB
ajst-25807	25	16	potential	potential	ADJ
ajst-25807	25	17	correlations	correlation	NOUN
ajst-25807	25	18	and	and	CCONJ
ajst-25807	25	19	regularities	regularity	NOUN
ajst-25807	25	20	through	through	ADP
ajst-25807	25	21	exploration	exploration	NOUN
ajst-25807	25	22	and	and	CCONJ
ajst-25807	25	23	analysis	analysis	NOUN
ajst-25807	25	24	.	.	PUNCT
ajst-25807	26	1	the	the	DET
ajst-25807	26	2	crux	crux	NOUN
ajst-25807	26	3	of	of	ADP
ajst-25807	26	4	data	datum	NOUN
ajst-25807	26	5	mining	mining	NOUN
ajst-25807	26	6	is	be	AUX
ajst-25807	26	7	its	its	PRON
ajst-25807	26	8	ability	ability	NOUN
ajst-25807	26	9	to	to	PART
ajst-25807	26	10	reveal	reveal	VERB
ajst-25807	26	11	latent	latent	ADJ
ajst-25807	26	12	knowledge	knowledge	NOUN
ajst-25807	26	13	within	within	ADP
ajst-25807	26	14	the	the	DET
ajst-25807	26	15	data	datum	NOUN
ajst-25807	26	16	,	,	PUNCT
ajst-25807	26	17	which	which	PRON
ajst-25807	26	18	may	may	AUX
ajst-25807	26	19	manifest	manifest	VERB
ajst-25807	26	20	in	in	ADP
ajst-25807	26	21	forms	form	NOUN
ajst-25807	26	22	such	such	ADJ
ajst-25807	26	23	as	as	ADP
ajst-25807	26	24	classification	classification	NOUN
ajst-25807	26	25	,	,	PUNCT
ajst-25807	26	26	clustering	clustering	NOUN
ajst-25807	26	27	,	,	PUNCT
ajst-25807	26	28	association	association	NOUN
ajst-25807	26	29	rules	rule	NOUN
ajst-25807	26	30	,	,	PUNCT
ajst-25807	26	31	or	or	CCONJ
ajst-25807	26	32	anomaly	anomaly	NOUN
ajst-25807	26	33	detection	detection	NOUN
ajst-25807	26	34	.	.	PUNCT
ajst-25807	27	1	classification	classification	NOUN
ajst-25807	27	2	techniques	technique	NOUN
ajst-25807	27	3	are	be	AUX
ajst-25807	27	4	extensively	extensively	ADV
ajst-25807	27	5	employed	employ	VERB
ajst-25807	27	6	in	in	ADP
ajst-25807	27	7	supervised	supervised	ADJ
ajst-25807	27	8	learning	learning	NOUN
ajst-25807	27	9	,	,	PUNCT
ajst-25807	27	10	wherein	wherein	ADJ
ajst-25807	27	11	models	model	NOUN
ajst-25807	27	12	are	be	AUX
ajst-25807	27	13	built	build	VERB
ajst-25807	27	14	to	to	PART
ajst-25807	27	15	predict	predict	VERB
ajst-25807	27	16	the	the	DET
ajst-25807	27	17	categories	category	NOUN
ajst-25807	27	18	of	of	ADP
ajst-25807	27	19	unknown	unknown	ADJ
ajst-25807	27	20	data	datum	NOUN
ajst-25807	27	21	based	base	VERB
ajst-25807	27	22	on	on	ADP
ajst-25807	27	23	the	the	DET
ajst-25807	27	24	analysis	analysis	NOUN
ajst-25807	27	25	of	of	ADP
ajst-25807	27	26	data	datum	NOUN
ajst-25807	27	27	with	with	ADP
ajst-25807	27	28	known	know	VERB
ajst-25807	27	29	categories	category	NOUN
ajst-25807	27	30	.	.	PUNCT
ajst-25807	28	1	clustering	clustering	NOUN
ajst-25807	28	2	,	,	PUNCT
ajst-25807	28	3	a	a	DET
ajst-25807	28	4	method	method	NOUN
ajst-25807	28	5	used	use	VERB
ajst-25807	28	6	in	in	ADP
ajst-25807	28	7	unsupervised	unsupervised	ADJ
ajst-25807	28	8	learning	learning	NOUN
ajst-25807	28	9	,	,	PUNCT
ajst-25807	28	10	organizes	organize	VERB
ajst-25807	28	11	data	datum	NOUN
ajst-25807	28	12	into	into	ADP
ajst-25807	28	13	subsets	subset	NOUN
ajst-25807	28	14	with	with	ADP
ajst-25807	28	15	strong	strong	ADJ
ajst-25807	28	16	homogeneity	homogeneity	NOUN
ajst-25807	28	17	,	,	PUNCT
ajst-25807	28	18	proving	prove	VERB
ajst-25807	28	19	particularly	particularly	ADV
ajst-25807	28	20	crucial	crucial	ADJ
ajst-25807	28	21	in	in	ADP
ajst-25807	28	22	customer	customer	NOUN
ajst-25807	28	23	segmentation	segmentation	NOUN
ajst-25807	28	24	and	and	CCONJ
ajst-25807	28	25	market	market	NOUN
ajst-25807	28	26	analysis	analysis	NOUN
ajst-25807	28	27	.	.	PUNCT
ajst-25807	29	1	association	association	NOUN
ajst-25807	29	2	rule	rule	NOUN
ajst-25807	29	3	mining	mining	NOUN
ajst-25807	29	4	aims	aim	VERB
ajst-25807	29	5	to	to	PART
ajst-25807	29	6	uncover	uncover	VERB
ajst-25807	29	7	intriguing	intriguing	ADJ
ajst-25807	29	8	relationships	relationship	NOUN
ajst-25807	29	9	between	between	ADP
ajst-25807	29	10	data	datum	NOUN
ajst-25807	29	11	items	item	NOUN
ajst-25807	29	12	,	,	PUNCT
ajst-25807	29	13	with	with	ADP
ajst-25807	29	14	shopping	shopping	NOUN
ajst-25807	29	15	basket	basket	NOUN
ajst-25807	29	16	analysis	analysis	NOUN
ajst-25807	29	17	being	be	AUX
ajst-25807	29	18	a	a	DET
ajst-25807	29	19	typical	typical	ADJ
ajst-25807	29	20	application	application	NOUN
ajst-25807	29	21	.	.	PUNCT
ajst-25807	30	1	anomaly	anomaly	PROPN
ajst-25807	30	2	detection	detection	NOUN
ajst-25807	30	3	identifies	identify	VERB
ajst-25807	30	4	rare	rare	ADJ
ajst-25807	30	5	events	event	NOUN
ajst-25807	30	6	that	that	PRON
ajst-25807	30	7	deviate	deviate	VERB
ajst-25807	30	8	from	from	ADP
ajst-25807	30	9	the	the	DET
ajst-25807	30	10	majority	majority	NOUN
ajst-25807	30	11	of	of	ADP
ajst-25807	30	12	data	datum	NOUN
ajst-25807	30	13	,	,	PUNCT
ajst-25807	30	14	holding	hold	VERB
ajst-25807	30	15	significant	significant	ADJ
ajst-25807	30	16	importance	importance	NOUN
ajst-25807	30	17	in	in	ADP
ajst-25807	30	18	fraud	fraud	NOUN
ajst-25807	30	19	detection	detection	NOUN
ajst-25807	30	20	and	and	CCONJ
ajst-25807	30	21	cybersecurity	cybersecurity	NOUN
ajst-25807	30	22	.	.	PUNCT
ajst-25807	31	1	the	the	DET
ajst-25807	31	2	power	power	NOUN
ajst-25807	31	3	of	of	ADP
ajst-25807	31	4	data	datum	NOUN
ajst-25807	31	5	mining	mining	NOUN
ajst-25807	31	6	lies	lie	VERB
ajst-25807	31	7	in	in	ADP
ajst-25807	31	8	its	its	PRON
ajst-25807	31	9	ability	ability	NOUN
ajst-25807	31	10	to	to	PART
ajst-25807	31	11	extract	extract	VERB
ajst-25807	31	12	insights	insight	NOUN
ajst-25807	31	13	from	from	ADP
ajst-25807	31	14	complex	complex	ADJ
ajst-25807	31	15	and	and	CCONJ
ajst-25807	31	16	voluminous	voluminous	ADJ
ajst-25807	31	17	data	datum	NOUN
ajst-25807	31	18	that	that	PRON
ajst-25807	31	19	are	be	AUX
ajst-25807	31	20	difficult	difficult	ADJ
ajst-25807	31	21	for	for	SCONJ
ajst-25807	31	22	humans	human	NOUN
ajst-25807	31	23	to	to	PART
ajst-25807	31	24	discern	discern	VERB
ajst-25807	31	25	directly	directly	ADV
ajst-25807	31	26	,	,	PUNCT
ajst-25807	31	27	enabling	enable	VERB
ajst-25807	31	28	17	17	NUM
ajst-25807	31	29	organizations	organization	NOUN
ajst-25807	31	30	to	to	PART
ajst-25807	31	31	make	make	VERB
ajst-25807	31	32	more	more	ADV
ajst-25807	31	33	precise	precise	ADJ
ajst-25807	31	34	and	and	CCONJ
ajst-25807	31	35	efficient	efficient	ADJ
ajst-25807	31	36	decisions	decision	NOUN
ajst-25807	31	37	.	.	PUNCT
ajst-25807	32	1	however	however	ADV
ajst-25807	32	2	,	,	PUNCT
ajst-25807	32	3	the	the	DET
ajst-25807	32	4	efficacy	efficacy	NOUN
ajst-25807	32	5	of	of	ADP
ajst-25807	32	6	data	datum	NOUN
ajst-25807	32	7	mining	mining	NOUN
ajst-25807	32	8	hinges	hinge	NOUN
ajst-25807	32	9	on	on	ADP
ajst-25807	32	10	the	the	DET
ajst-25807	32	11	quality	quality	NOUN
ajst-25807	32	12	of	of	ADP
ajst-25807	32	13	data	datum	NOUN
ajst-25807	32	14	and	and	CCONJ
ajst-25807	32	15	the	the	DET
ajst-25807	32	16	preliminary	preliminary	ADJ
ajst-25807	32	17	data	datum	NOUN
ajst-25807	32	18	preprocessing	preprocesse	VERB
ajst-25807	32	19	work	work	NOUN
ajst-25807	32	20	;	;	PUNCT
ajst-25807	32	21	poorquality	poorquality	NOUN
ajst-25807	32	22	data	datum	NOUN
ajst-25807	32	23	can	can	AUX
ajst-25807	32	24	lead	lead	VERB
ajst-25807	32	25	to	to	ADP
ajst-25807	32	26	model	model	NOUN
ajst-25807	32	27	bias	bias	NOUN
ajst-25807	32	28	and	and	CCONJ
ajst-25807	32	29	misleading	mislead	VERB
ajst-25807	32	30	conclusions	conclusion	NOUN
ajst-25807	32	31	[	[	X
ajst-25807	32	32	2	2	NUM
ajst-25807	32	33	]	]	PUNCT
ajst-25807	32	34	.	.	PUNCT
ajst-25807	33	1	thus	thus	ADV
ajst-25807	33	2	,	,	PUNCT
ajst-25807	33	3	while	while	SCONJ
ajst-25807	33	4	data	datum	NOUN
ajst-25807	33	5	mining	mining	NOUN
ajst-25807	33	6	enhances	enhance	VERB
ajst-25807	33	7	data	datum	NOUN
ajst-25807	33	8	value	value	NOUN
ajst-25807	33	9	,	,	PUNCT
ajst-25807	33	10	it	it	PRON
ajst-25807	33	11	also	also	ADV
ajst-25807	33	12	faces	face	VERB
ajst-25807	33	13	severe	severe	ADJ
ajst-25807	33	14	challenges	challenge	NOUN
ajst-25807	33	15	and	and	CCONJ
ajst-25807	33	16	complexities	complexity	NOUN
ajst-25807	33	17	,	,	PUNCT
ajst-25807	33	18	necessitating	necessitate	VERB
ajst-25807	33	19	ongoing	ongoing	ADJ
ajst-25807	33	20	research	research	NOUN
ajst-25807	33	21	and	and	CCONJ
ajst-25807	33	22	refinement	refinement	NOUN
ajst-25807	33	23	.	.	PUNCT
ajst-25807	34	1	3.2	3.2	NUM
ajst-25807	34	2	.	.	PUNCT
ajst-25807	35	1	classification	classification	NOUN
ajst-25807	35	2	algorithms	algorithm	VERB
ajst-25807	35	3	major	major	ADJ
ajst-25807	35	4	data	datum	NOUN
ajst-25807	35	5	mining	mining	NOUN
ajst-25807	35	6	techniques	technique	NOUN
ajst-25807	35	7	and	and	CCONJ
ajst-25807	35	8	methods	method	NOUN
ajst-25807	35	9	3.2.1	3.2.1	NUM
ajst-25807	35	10	.	.	PUNCT
ajst-25807	36	1	classification	classification	NOUN
ajst-25807	36	2	algorithms	algorithms	NOUN
ajst-25807	36	3	classification	classification	NOUN
ajst-25807	36	4	algorithms	algorithm	NOUN
ajst-25807	36	5	are	be	AUX
ajst-25807	36	6	among	among	ADP
ajst-25807	36	7	the	the	DET
ajst-25807	36	8	most	most	ADV
ajst-25807	36	9	prevalent	prevalent	ADJ
ajst-25807	36	10	techniques	technique	NOUN
ajst-25807	36	11	in	in	ADP
ajst-25807	36	12	data	datum	NOUN
ajst-25807	36	13	mining	mining	NOUN
ajst-25807	36	14	,	,	PUNCT
ajst-25807	36	15	primarily	primarily	ADV
ajst-25807	36	16	employed	employ	VERB
ajst-25807	36	17	to	to	PART
ajst-25807	36	18	address	address	VERB
ajst-25807	36	19	supervised	supervised	ADJ
ajst-25807	36	20	learning	learn	VERB
ajst-25807	36	21	tasks	task	NOUN
ajst-25807	36	22	with	with	ADP
ajst-25807	36	23	the	the	DET
ajst-25807	36	24	aim	aim	NOUN
ajst-25807	36	25	of	of	ADP
ajst-25807	36	26	categorizing	categorize	VERB
ajst-25807	36	27	data	datum	NOUN
ajst-25807	36	28	into	into	ADP
ajst-25807	36	29	predefined	predefine	VERB
ajst-25807	36	30	classes	class	NOUN
ajst-25807	36	31	based	base	VERB
ajst-25807	36	32	on	on	ADP
ajst-25807	36	33	its	its	PRON
ajst-25807	36	34	characteristics	characteristic	NOUN
ajst-25807	36	35	.	.	PUNCT
ajst-25807	37	1	a	a	DET
ajst-25807	37	2	widely	widely	ADV
ajst-25807	37	3	favored	favor	VERB
ajst-25807	37	4	method	method	NOUN
ajst-25807	37	5	is	be	AUX
ajst-25807	37	6	the	the	DET
ajst-25807	37	7	decision	decision	NOUN
ajst-25807	37	8	tree	tree	NOUN
ajst-25807	37	9	,	,	PUNCT
ajst-25807	37	10	esteemed	esteem	VERB
ajst-25807	37	11	for	for	ADP
ajst-25807	37	12	its	its	PRON
ajst-25807	37	13	intuitive	intuitive	ADJ
ajst-25807	37	14	nature	nature	NOUN
ajst-25807	37	15	and	and	CCONJ
ajst-25807	37	16	interpretability	interpretability	NOUN
ajst-25807	37	17	.	.	PUNCT
ajst-25807	38	1	decision	decision	NOUN
ajst-25807	38	2	trees	tree	NOUN
ajst-25807	38	3	learn	learn	VERB
ajst-25807	38	4	rules	rule	NOUN
ajst-25807	38	5	from	from	ADP
ajst-25807	38	6	data	datum	NOUN
ajst-25807	38	7	through	through	ADP
ajst-25807	38	8	a	a	DET
ajst-25807	38	9	tree	tree	NOUN
ajst-25807	38	10	-	-	PUNCT
ajst-25807	38	11	like	like	ADJ
ajst-25807	38	12	structure	structure	NOUN
ajst-25807	38	13	,	,	PUNCT
ajst-25807	38	14	ultimately	ultimately	ADV
ajst-25807	38	15	generating	generate	VERB
ajst-25807	38	16	a	a	DET
ajst-25807	38	17	model	model	NOUN
ajst-25807	38	18	that	that	PRON
ajst-25807	38	19	can	can	AUX
ajst-25807	38	20	predict	predict	VERB
ajst-25807	38	21	the	the	DET
ajst-25807	38	22	categories	category	NOUN
ajst-25807	38	23	of	of	ADP
ajst-25807	38	24	new	new	ADJ
ajst-25807	38	25	data	datum	NOUN
ajst-25807	38	26	.	.	PUNCT
ajst-25807	39	1	however	however	ADV
ajst-25807	39	2	,	,	PUNCT
ajst-25807	39	3	decision	decision	NOUN
ajst-25807	39	4	trees	tree	NOUN
ajst-25807	39	5	are	be	AUX
ajst-25807	39	6	prone	prone	ADJ
ajst-25807	39	7	to	to	ADP
ajst-25807	39	8	overfitting	overfitte	VERB
ajst-25807	39	9	,	,	PUNCT
ajst-25807	39	10	which	which	PRON
ajst-25807	39	11	can	can	AUX
ajst-25807	39	12	result	result	VERB
ajst-25807	39	13	in	in	ADP
ajst-25807	39	14	poor	poor	ADJ
ajst-25807	39	15	performance	performance	NOUN
ajst-25807	39	16	when	when	SCONJ
ajst-25807	39	17	encountering	encounter	VERB
ajst-25807	39	18	new	new	ADJ
ajst-25807	39	19	data	datum	NOUN
ajst-25807	39	20	.	.	PUNCT
ajst-25807	40	1	to	to	PART
ajst-25807	40	2	mitigate	mitigate	VERB
ajst-25807	40	3	this	this	DET
ajst-25807	40	4	issue	issue	NOUN
ajst-25807	40	5	,	,	PUNCT
ajst-25807	40	6	the	the	DET
ajst-25807	40	7	random	random	ADJ
ajst-25807	40	8	forest	forest	NOUN
ajst-25807	40	9	approach	approach	NOUN
ajst-25807	40	10	was	be	AUX
ajst-25807	40	11	developed	develop	VERB
ajst-25807	40	12	.	.	PUNCT
ajst-25807	41	1	random	random	ADJ
ajst-25807	41	2	forests	forest	NOUN
ajst-25807	41	3	enhance	enhance	VERB
ajst-25807	41	4	classification	classification	NOUN
ajst-25807	41	5	accuracy	accuracy	NOUN
ajst-25807	41	6	and	and	CCONJ
ajst-25807	41	7	stability	stability	NOUN
ajst-25807	41	8	by	by	ADP
ajst-25807	41	9	constructing	construct	VERB
ajst-25807	41	10	multiple	multiple	ADJ
ajst-25807	41	11	decision	decision	NOUN
ajst-25807	41	12	trees	tree	NOUN
ajst-25807	41	13	and	and	CCONJ
ajst-25807	41	14	aggregating	aggregate	VERB
ajst-25807	41	15	their	their	PRON
ajst-25807	41	16	results	result	NOUN
ajst-25807	41	17	.	.	PUNCT
ajst-25807	42	1	its	its	PRON
ajst-25807	42	2	robust	robust	ADJ
ajst-25807	42	3	generalization	generalization	NOUN
ajst-25807	42	4	capability	capability	NOUN
ajst-25807	42	5	proves	prove	VERB
ajst-25807	42	6	particularly	particularly	ADV
ajst-25807	42	7	effective	effective	ADJ
ajst-25807	42	8	for	for	ADP
ajst-25807	42	9	complex	complex	ADJ
ajst-25807	42	10	,	,	PUNCT
ajst-25807	42	11	high	high	ADJ
ajst-25807	42	12	-	-	PUNCT
ajst-25807	42	13	dimensional	dimensional	ADJ
ajst-25807	42	14	data	datum	NOUN
ajst-25807	42	15	.	.	PUNCT
ajst-25807	43	1	nonetheless	nonetheless	ADV
ajst-25807	43	2	,	,	PUNCT
ajst-25807	43	3	random	random	ADJ
ajst-25807	43	4	forests	forest	NOUN
ajst-25807	43	5	exhibit	exhibit	VERB
ajst-25807	43	6	higher	high	ADJ
ajst-25807	43	7	computational	computational	ADJ
ajst-25807	43	8	complexity	complexity	NOUN
ajst-25807	43	9	and	and	CCONJ
ajst-25807	43	10	their	their	PRON
ajst-25807	43	11	results	result	NOUN
ajst-25807	43	12	are	be	AUX
ajst-25807	43	13	less	less	ADV
ajst-25807	43	14	intuitively	intuitively	ADV
ajst-25807	43	15	interpretable	interpretable	ADJ
ajst-25807	43	16	compared	compare	VERB
ajst-25807	43	17	to	to	ADP
ajst-25807	43	18	a	a	DET
ajst-25807	43	19	single	single	ADJ
ajst-25807	43	20	decision	decision	NOUN
ajst-25807	43	21	tree	tree	NOUN
ajst-25807	43	22	.	.	PUNCT
ajst-25807	44	1	on	on	ADP
ajst-25807	44	2	the	the	DET
ajst-25807	44	3	other	other	ADJ
ajst-25807	44	4	hand	hand	NOUN
ajst-25807	44	5	,	,	PUNCT
ajst-25807	44	6	support	support	VERB
ajst-25807	44	7	vector	vector	NOUN
ajst-25807	44	8	machines	machine	NOUN
ajst-25807	44	9	(	(	PUNCT
ajst-25807	44	10	svm	svm	PROPN
ajst-25807	44	11	)	)	PUNCT
ajst-25807	44	12	represent	represent	VERB
ajst-25807	44	13	a	a	DET
ajst-25807	44	14	classification	classification	NOUN
ajst-25807	44	15	technique	technique	NOUN
ajst-25807	44	16	based	base	VERB
ajst-25807	44	17	on	on	ADP
ajst-25807	44	18	maximizing	maximize	VERB
ajst-25807	44	19	the	the	DET
ajst-25807	44	20	margin	margin	NOUN
ajst-25807	44	21	between	between	ADP
ajst-25807	44	22	classes	class	NOUN
ajst-25807	44	23	.	.	PUNCT
ajst-25807	45	1	by	by	ADP
ajst-25807	45	2	identifying	identify	VERB
ajst-25807	45	3	an	an	DET
ajst-25807	45	4	optimal	optimal	ADJ
ajst-25807	45	5	hyperplane	hyperplane	NOUN
ajst-25807	45	6	,	,	PUNCT
ajst-25807	45	7	svms	svms	NOUN
ajst-25807	45	8	can	can	AUX
ajst-25807	45	9	segregate	segregate	VERB
ajst-25807	45	10	data	data	NOUN
ajst-25807	45	11	points	point	NOUN
ajst-25807	45	12	into	into	ADP
ajst-25807	45	13	distinct	distinct	ADJ
ajst-25807	45	14	categories	category	NOUN
ajst-25807	45	15	.	.	PUNCT
ajst-25807	46	1	for	for	ADP
ajst-25807	46	2	data	datum	NOUN
ajst-25807	46	3	that	that	PRON
ajst-25807	46	4	is	be	AUX
ajst-25807	46	5	not	not	PART
ajst-25807	46	6	linearly	linearly	ADV
ajst-25807	46	7	separable	separable	ADJ
ajst-25807	46	8	,	,	PUNCT
ajst-25807	46	9	svms	svms	NOUN
ajst-25807	46	10	utilize	utilize	VERB
ajst-25807	46	11	kernel	kernel	NOUN
ajst-25807	46	12	functions	function	NOUN
ajst-25807	46	13	to	to	PART
ajst-25807	46	14	map	map	VERB
ajst-25807	46	15	data	datum	NOUN
ajst-25807	46	16	into	into	ADP
ajst-25807	46	17	a	a	DET
ajst-25807	46	18	higherdimensional	higherdimensional	ADJ
ajst-25807	46	19	space	space	NOUN
ajst-25807	46	20	,	,	PUNCT
ajst-25807	46	21	achieving	achieve	VERB
ajst-25807	46	22	more	more	ADV
ajst-25807	46	23	precise	precise	ADJ
ajst-25807	46	24	classification	classification	NOUN
ajst-25807	46	25	.	.	PUNCT
ajst-25807	47	1	while	while	SCONJ
ajst-25807	47	2	svms	svms	NOUN
ajst-25807	47	3	excel	excel	VERB
ajst-25807	47	4	in	in	ADP
ajst-25807	47	5	scenarios	scenario	NOUN
ajst-25807	47	6	with	with	ADP
ajst-25807	47	7	small	small	ADJ
ajst-25807	47	8	samples	sample	NOUN
ajst-25807	47	9	and	and	CCONJ
ajst-25807	47	10	high	high	ADJ
ajst-25807	47	11	dimensionality	dimensionality	NOUN
ajst-25807	47	12	,	,	PUNCT
ajst-25807	47	13	their	their	PRON
ajst-25807	47	14	efficiency	efficiency	NOUN
ajst-25807	47	15	may	may	AUX
ajst-25807	47	16	decrease	decrease	VERB
ajst-25807	47	17	when	when	SCONJ
ajst-25807	47	18	dealing	deal	VERB
ajst-25807	47	19	with	with	ADP
ajst-25807	47	20	large	large	ADJ
ajst-25807	47	21	-	-	PUNCT
ajst-25807	47	22	scale	scale	NOUN
ajst-25807	47	23	data	datum	NOUN
ajst-25807	47	24	.	.	PUNCT
ajst-25807	48	1	the	the	DET
ajst-25807	48	2	choice	choice	NOUN
ajst-25807	48	3	of	of	ADP
ajst-25807	48	4	classification	classification	NOUN
ajst-25807	48	5	algorithm	algorithm	NOUN
ajst-25807	48	6	should	should	AUX
ajst-25807	48	7	be	be	AUX
ajst-25807	48	8	aligned	align	VERB
ajst-25807	48	9	with	with	ADP
ajst-25807	48	10	the	the	DET
ajst-25807	48	11	characteristics	characteristic	NOUN
ajst-25807	48	12	of	of	ADP
ajst-25807	48	13	the	the	DET
ajst-25807	48	14	data	datum	NOUN
ajst-25807	48	15	and	and	CCONJ
ajst-25807	48	16	the	the	DET
ajst-25807	48	17	specific	specific	ADJ
ajst-25807	48	18	requirements	requirement	NOUN
ajst-25807	48	19	of	of	ADP
ajst-25807	48	20	the	the	DET
ajst-25807	48	21	task	task	NOUN
ajst-25807	48	22	.	.	PUNCT
ajst-25807	49	1	each	each	DET
ajst-25807	49	2	algorithm	algorithm	NOUN
ajst-25807	49	3	possesses	possess	VERB
ajst-25807	49	4	its	its	PRON
ajst-25807	49	5	own	own	ADJ
ajst-25807	49	6	strengths	strength	NOUN
ajst-25807	49	7	and	and	CCONJ
ajst-25807	49	8	limitations	limitation	NOUN
ajst-25807	49	9	,	,	PUNCT
ajst-25807	49	10	and	and	CCONJ
ajst-25807	49	11	the	the	DET
ajst-25807	49	12	key	key	NOUN
ajst-25807	49	13	lies	lie	VERB
ajst-25807	49	14	in	in	ADP
ajst-25807	49	15	selecting	select	VERB
ajst-25807	49	16	the	the	DET
ajst-25807	49	17	appropriate	appropriate	ADJ
ajst-25807	49	18	method	method	NOUN
ajst-25807	49	19	based	base	VERB
ajst-25807	49	20	on	on	ADP
ajst-25807	49	21	the	the	DET
ajst-25807	49	22	complexity	complexity	NOUN
ajst-25807	49	23	of	of	ADP
ajst-25807	49	24	the	the	DET
ajst-25807	49	25	problem	problem	NOUN
ajst-25807	49	26	and	and	CCONJ
ajst-25807	49	27	the	the	DET
ajst-25807	49	28	nature	nature	NOUN
ajst-25807	49	29	of	of	ADP
ajst-25807	49	30	the	the	DET
ajst-25807	49	31	data	datum	NOUN
ajst-25807	49	32	to	to	PART
ajst-25807	49	33	achieve	achieve	VERB
ajst-25807	49	34	accurate	accurate	ADJ
ajst-25807	49	35	and	and	CCONJ
ajst-25807	49	36	efficient	efficient	ADJ
ajst-25807	49	37	classification	classification	NOUN
ajst-25807	49	38	.	.	PUNCT
ajst-25807	50	1	3.2.2	3.2.2	NUM
ajst-25807	50	2	.	.	PUNCT
ajst-25807	50	3	clustering	cluster	VERB
ajst-25807	50	4	algorithm	algorithm	NOUN
ajst-25807	50	5	clustering	cluster	VERB
ajst-25807	50	6	techniques	technique	NOUN
ajst-25807	50	7	play	play	VERB
ajst-25807	50	8	an	an	DET
ajst-25807	50	9	indispensable	indispensable	ADJ
ajst-25807	50	10	role	role	NOUN
ajst-25807	50	11	in	in	ADP
ajst-25807	50	12	data	datum	NOUN
ajst-25807	50	13	mining	mining	NOUN
ajst-25807	50	14	,	,	PUNCT
ajst-25807	50	15	particularly	particularly	ADV
ajst-25807	50	16	in	in	ADP
ajst-25807	50	17	the	the	DET
ajst-25807	50	18	realm	realm	NOUN
ajst-25807	50	19	of	of	ADP
ajst-25807	50	20	unsupervised	unsupervised	ADJ
ajst-25807	50	21	learning	learning	NOUN
ajst-25807	50	22	.	.	PUNCT
ajst-25807	51	1	their	their	PRON
ajst-25807	51	2	purpose	purpose	NOUN
ajst-25807	51	3	is	be	AUX
ajst-25807	51	4	to	to	PART
ajst-25807	51	5	partition	partition	VERB
ajst-25807	51	6	data	datum	NOUN
ajst-25807	51	7	objects	object	NOUN
ajst-25807	51	8	into	into	ADP
ajst-25807	51	9	multiple	multiple	ADJ
ajst-25807	51	10	clusters	cluster	NOUN
ajst-25807	51	11	with	with	ADP
ajst-25807	51	12	similar	similar	ADJ
ajst-25807	51	13	characteristics	characteristic	NOUN
ajst-25807	51	14	,	,	PUNCT
ajst-25807	51	15	thereby	thereby	ADV
ajst-25807	51	16	unveiling	unveil	VERB
ajst-25807	51	17	the	the	DET
ajst-25807	51	18	intrinsic	intrinsic	ADJ
ajst-25807	51	19	structure	structure	NOUN
ajst-25807	51	20	within	within	ADP
ajst-25807	51	21	the	the	DET
ajst-25807	51	22	data	datum	NOUN
ajst-25807	51	23	.	.	PUNCT
ajst-25807	52	1	among	among	ADP
ajst-25807	52	2	the	the	DET
ajst-25807	52	3	most	most	ADV
ajst-25807	52	4	commonly	commonly	ADV
ajst-25807	52	5	used	use	VERB
ajst-25807	52	6	clustering	clustering	NOUN
ajst-25807	52	7	algorithms	algorithms	NOUN
ajst-25807	52	8	is	be	AUX
ajst-25807	52	9	k	k	NOUN
ajst-25807	52	10	-	-	PUNCT
ajst-25807	52	11	means	mean	NOUN
ajst-25807	52	12	,	,	PUNCT
ajst-25807	52	13	which	which	PRON
ajst-25807	52	14	optimizes	optimize	VERB
ajst-25807	52	15	through	through	ADP
ajst-25807	52	16	iteration	iteration	NOUN
ajst-25807	52	17	by	by	ADP
ajst-25807	52	18	assigning	assign	VERB
ajst-25807	52	19	data	datum	NOUN
ajst-25807	52	20	points	point	NOUN
ajst-25807	52	21	to	to	ADP
ajst-25807	52	22	the	the	DET
ajst-25807	52	23	nearest	near	ADJ
ajst-25807	52	24	cluster	cluster	NOUN
ajst-25807	52	25	centers	center	NOUN
ajst-25807	52	26	and	and	CCONJ
ajst-25807	52	27	continuously	continuously	ADV
ajst-25807	52	28	updating	update	VERB
ajst-25807	52	29	these	these	DET
ajst-25807	52	30	centers	center	NOUN
ajst-25807	52	31	'	'	PART
ajst-25807	52	32	positions	position	NOUN
ajst-25807	52	33	until	until	SCONJ
ajst-25807	52	34	convergence	convergence	NOUN
ajst-25807	52	35	is	be	AUX
ajst-25807	52	36	achieved	achieve	VERB
ajst-25807	52	37	.	.	PUNCT
ajst-25807	53	1	the	the	DET
ajst-25807	53	2	advantage	advantage	NOUN
ajst-25807	53	3	of	of	ADP
ajst-25807	53	4	k	k	NOUN
ajst-25807	53	5	-	-	PUNCT
ajst-25807	53	6	means	means	NOUN
ajst-25807	53	7	lies	lie	VERB
ajst-25807	53	8	in	in	ADP
ajst-25807	53	9	its	its	PRON
ajst-25807	53	10	high	high	ADJ
ajst-25807	53	11	computational	computational	ADJ
ajst-25807	53	12	efficiency	efficiency	NOUN
ajst-25807	53	13	,	,	PUNCT
ajst-25807	53	14	capacity	capacity	NOUN
ajst-25807	53	15	to	to	PART
ajst-25807	53	16	handle	handle	VERB
ajst-25807	53	17	large	large	ADJ
ajst-25807	53	18	datasets	dataset	NOUN
ajst-25807	53	19	,	,	PUNCT
ajst-25807	53	20	and	and	CCONJ
ajst-25807	53	21	relatively	relatively	ADV
ajst-25807	53	22	straightforward	straightforward	ADJ
ajst-25807	53	23	implementation	implementation	NOUN
ajst-25807	53	24	.	.	PUNCT
ajst-25807	54	1	however	however	ADV
ajst-25807	54	2	,	,	PUNCT
ajst-25807	54	3	k	k	X
ajst-25807	54	4	-	-	PUNCT
ajst-25807	54	5	means	means	NOUN
ajst-25807	54	6	is	be	AUX
ajst-25807	54	7	sensitive	sensitive	ADJ
ajst-25807	54	8	to	to	ADP
ajst-25807	54	9	the	the	DET
ajst-25807	54	10	initial	initial	ADJ
ajst-25807	54	11	selection	selection	NOUN
ajst-25807	54	12	of	of	ADP
ajst-25807	54	13	centroids	centroid	NOUN
ajst-25807	54	14	and	and	CCONJ
ajst-25807	54	15	can	can	AUX
ajst-25807	54	16	easily	easily	ADV
ajst-25807	54	17	become	become	VERB
ajst-25807	54	18	trapped	trapped	ADJ
ajst-25807	54	19	in	in	ADP
ajst-25807	54	20	local	local	ADJ
ajst-25807	54	21	optima	optima	NOUN
ajst-25807	54	22	.	.	PUNCT
ajst-25807	55	1	furthermore	furthermore	ADV
ajst-25807	55	2	,	,	PUNCT
ajst-25807	55	3	k	k	X
ajst-25807	55	4	-	-	PUNCT
ajst-25807	55	5	means	means	NOUN
ajst-25807	55	6	assumes	assume	VERB
ajst-25807	55	7	that	that	SCONJ
ajst-25807	55	8	clusters	cluster	NOUN
ajst-25807	55	9	are	be	AUX
ajst-25807	55	10	spherical	spherical	ADJ
ajst-25807	55	11	and	and	CCONJ
ajst-25807	55	12	of	of	ADP
ajst-25807	55	13	similar	similar	ADJ
ajst-25807	55	14	size	size	NOUN
ajst-25807	55	15	,	,	PUNCT
ajst-25807	55	16	which	which	PRON
ajst-25807	55	17	may	may	AUX
ajst-25807	55	18	be	be	AUX
ajst-25807	55	19	inadequate	inadequate	ADJ
ajst-25807	55	20	for	for	ADP
ajst-25807	55	21	handling	handle	VERB
ajst-25807	55	22	clusters	cluster	NOUN
ajst-25807	55	23	of	of	ADP
ajst-25807	55	24	complex	complex	ADJ
ajst-25807	55	25	shapes	shape	NOUN
ajst-25807	55	26	or	or	CCONJ
ajst-25807	55	27	varying	vary	VERB
ajst-25807	55	28	sizes	size	NOUN
ajst-25807	55	29	.	.	PUNCT
ajst-25807	56	1	in	in	ADP
ajst-25807	56	2	contrast	contrast	NOUN
ajst-25807	56	3	,	,	PUNCT
ajst-25807	56	4	hierarchical	hierarchical	ADJ
ajst-25807	56	5	clustering	clustering	NOUN
ajst-25807	56	6	constructs	construct	NOUN
ajst-25807	56	7	a	a	DET
ajst-25807	56	8	dendrogram	dendrogram	NOUN
ajst-25807	56	9	to	to	PART
ajst-25807	56	10	progressively	progressively	ADV
ajst-25807	56	11	cluster	cluster	NOUN
ajst-25807	56	12	data	datum	NOUN
ajst-25807	56	13	,	,	PUNCT
ajst-25807	56	14	without	without	ADP
ajst-25807	56	15	the	the	DET
ajst-25807	56	16	need	need	NOUN
ajst-25807	56	17	to	to	PART
ajst-25807	56	18	predefine	predefine	VERB
ajst-25807	56	19	the	the	DET
ajst-25807	56	20	number	number	NOUN
ajst-25807	56	21	of	of	ADP
ajst-25807	56	22	clusters	cluster	NOUN
ajst-25807	56	23	.	.	PUNCT
ajst-25807	57	1	hierarchical	hierarchical	ADJ
ajst-25807	57	2	clustering	clustering	NOUN
ajst-25807	57	3	can	can	AUX
ajst-25807	57	4	be	be	AUX
ajst-25807	57	5	categorized	categorize	VERB
ajst-25807	57	6	into	into	ADP
ajst-25807	57	7	agglomerative	agglomerative	ADJ
ajst-25807	57	8	and	and	CCONJ
ajst-25807	57	9	divisive	divisive	ADJ
ajst-25807	57	10	types	type	NOUN
ajst-25807	57	11	,	,	PUNCT
ajst-25807	57	12	where	where	SCONJ
ajst-25807	57	13	the	the	DET
ajst-25807	57	14	former	former	ADJ
ajst-25807	57	15	starts	start	VERB
ajst-25807	57	16	from	from	ADP
ajst-25807	57	17	individual	individual	ADJ
ajst-25807	57	18	data	datum	NOUN
ajst-25807	57	19	points	point	NOUN
ajst-25807	57	20	and	and	CCONJ
ajst-25807	57	21	merges	merge	VERB
ajst-25807	57	22	them	they	PRON
ajst-25807	57	23	progressively	progressively	ADV
ajst-25807	57	24	,	,	PUNCT
ajst-25807	57	25	while	while	SCONJ
ajst-25807	57	26	the	the	DET
ajst-25807	57	27	latter	latter	NOUN
ajst-25807	57	28	begins	begin	VERB
ajst-25807	57	29	with	with	ADP
ajst-25807	57	30	the	the	DET
ajst-25807	57	31	whole	whole	ADJ
ajst-25807	57	32	dataset	dataset	NOUN
ajst-25807	57	33	and	and	CCONJ
ajst-25807	57	34	divides	divide	VERB
ajst-25807	57	35	it	it	PRON
ajst-25807	57	36	incrementally	incrementally	ADV
ajst-25807	57	37	.	.	PUNCT
ajst-25807	58	1	the	the	DET
ajst-25807	58	2	strength	strength	NOUN
ajst-25807	58	3	of	of	ADP
ajst-25807	58	4	hierarchical	hierarchical	ADJ
ajst-25807	58	5	clustering	clustering	NOUN
ajst-25807	58	6	lies	lie	NOUN
ajst-25807	58	7	in	in	ADP
ajst-25807	58	8	its	its	PRON
ajst-25807	58	9	ability	ability	NOUN
ajst-25807	58	10	to	to	PART
ajst-25807	58	11	produce	produce	VERB
ajst-25807	58	12	a	a	DET
ajst-25807	58	13	comprehensive	comprehensive	ADJ
ajst-25807	58	14	hierarchical	hierarchical	ADJ
ajst-25807	58	15	structure	structure	NOUN
ajst-25807	58	16	,	,	PUNCT
ajst-25807	58	17	making	make	VERB
ajst-25807	58	18	it	it	PRON
ajst-25807	58	19	well	well	ADV
ajst-25807	58	20	-	-	PUNCT
ajst-25807	58	21	suited	suit	VERB
ajst-25807	58	22	for	for	ADP
ajst-25807	58	23	scenarios	scenario	NOUN
ajst-25807	58	24	requiring	require	VERB
ajst-25807	58	25	a	a	DET
ajst-25807	58	26	deep	deep	ADJ
ajst-25807	58	27	understanding	understanding	NOUN
ajst-25807	58	28	of	of	ADP
ajst-25807	58	29	data	datum	NOUN
ajst-25807	58	30	stratification	stratification	NOUN
ajst-25807	58	31	[	[	X
ajst-25807	58	32	3	3	NUM
ajst-25807	58	33	]	]	PUNCT
ajst-25807	58	34	.	.	PUNCT
ajst-25807	59	1	however	however	ADV
ajst-25807	59	2	,	,	PUNCT
ajst-25807	59	3	hierarchical	hierarchical	ADJ
ajst-25807	59	4	clustering	clustering	NOUN
ajst-25807	59	5	's	's	PART
ajst-25807	59	6	computational	computational	ADJ
ajst-25807	59	7	complexity	complexity	NOUN
ajst-25807	59	8	is	be	AUX
ajst-25807	59	9	relatively	relatively	ADV
ajst-25807	59	10	high	high	ADJ
ajst-25807	59	11	,	,	PUNCT
ajst-25807	59	12	resulting	result	VERB
ajst-25807	59	13	in	in	ADP
ajst-25807	59	14	lower	low	ADJ
ajst-25807	59	15	efficiency	efficiency	NOUN
ajst-25807	59	16	when	when	SCONJ
ajst-25807	59	17	handling	handle	VERB
ajst-25807	59	18	large	large	ADJ
ajst-25807	59	19	-	-	PUNCT
ajst-25807	59	20	scale	scale	NOUN
ajst-25807	59	21	data	datum	NOUN
ajst-25807	59	22	,	,	PUNCT
ajst-25807	59	23	and	and	CCONJ
ajst-25807	59	24	once	once	ADV
ajst-25807	59	25	a	a	DET
ajst-25807	59	26	step	step	NOUN
ajst-25807	59	27	is	be	AUX
ajst-25807	59	28	completed	complete	VERB
ajst-25807	59	29	,	,	PUNCT
ajst-25807	59	30	it	it	PRON
ajst-25807	59	31	can	can	AUX
ajst-25807	59	32	not	not	PART
ajst-25807	59	33	be	be	AUX
ajst-25807	59	34	reverted	revert	VERB
ajst-25807	59	35	or	or	CCONJ
ajst-25807	59	36	adjusted	adjust	VERB
ajst-25807	59	37	.	.	PUNCT
ajst-25807	60	1	both	both	DET
ajst-25807	60	2	kmeans	kmean	NOUN
ajst-25807	60	3	and	and	CCONJ
ajst-25807	60	4	hierarchical	hierarchical	ADJ
ajst-25807	60	5	clustering	clustering	NOUN
ajst-25807	60	6	exhibit	exhibit	NOUN
ajst-25807	60	7	unique	unique	ADJ
ajst-25807	60	8	value	value	NOUN
ajst-25807	60	9	in	in	ADP
ajst-25807	60	10	different	different	ADJ
ajst-25807	60	11	contexts	contexts	NOUN
ajst-25807	60	12	.	.	PUNCT
ajst-25807	61	1	k	k	X
ajst-25807	61	2	-	-	PUNCT
ajst-25807	61	3	means	mean	VERB
ajst-25807	61	4	is	be	AUX
ajst-25807	61	5	ideal	ideal	ADJ
ajst-25807	61	6	for	for	ADP
ajst-25807	61	7	processing	process	VERB
ajst-25807	61	8	large	large	ADJ
ajst-25807	61	9	-	-	PUNCT
ajst-25807	61	10	scale	scale	NOUN
ajst-25807	61	11	,	,	PUNCT
ajst-25807	61	12	relatively	relatively	ADV
ajst-25807	61	13	simple	simple	ADJ
ajst-25807	61	14	datasets	dataset	NOUN
ajst-25807	61	15	,	,	PUNCT
ajst-25807	61	16	whereas	whereas	SCONJ
ajst-25807	61	17	hierarchical	hierarchical	ADJ
ajst-25807	61	18	clustering	clustering	NOUN
ajst-25807	61	19	excels	excel	NOUN
ajst-25807	61	20	in	in	ADP
ajst-25807	61	21	scenarios	scenario	NOUN
ajst-25807	61	22	demanding	demand	VERB
ajst-25807	61	23	a	a	DET
ajst-25807	61	24	profound	profound	ADJ
ajst-25807	61	25	understanding	understanding	NOUN
ajst-25807	61	26	of	of	ADP
ajst-25807	61	27	data	datum	NOUN
ajst-25807	61	28	structure	structure	NOUN
ajst-25807	61	29	.	.	PUNCT
ajst-25807	62	1	choosing	choose	VERB
ajst-25807	62	2	the	the	DET
ajst-25807	62	3	appropriate	appropriate	ADJ
ajst-25807	62	4	clustering	clustering	ADJ
ajst-25807	62	5	algorithm	algorithm	NOUN
ajst-25807	62	6	necessitates	necessitate	VERB
ajst-25807	62	7	a	a	DET
ajst-25807	62	8	thorough	thorough	ADJ
ajst-25807	62	9	consideration	consideration	NOUN
ajst-25807	62	10	of	of	ADP
ajst-25807	62	11	the	the	DET
ajst-25807	62	12	data	datum	NOUN
ajst-25807	62	13	's	's	PART
ajst-25807	62	14	nature	nature	NOUN
ajst-25807	62	15	and	and	CCONJ
ajst-25807	62	16	the	the	DET
ajst-25807	62	17	analysis	analysis	NOUN
ajst-25807	62	18	objectives	objective	NOUN
ajst-25807	62	19	to	to	PART
ajst-25807	62	20	effectively	effectively	ADV
ajst-25807	62	21	reveal	reveal	VERB
ajst-25807	62	22	hidden	hide	VERB
ajst-25807	62	23	patterns	pattern	NOUN
ajst-25807	62	24	and	and	CCONJ
ajst-25807	62	25	structures	structure	NOUN
ajst-25807	62	26	within	within	ADP
ajst-25807	62	27	the	the	DET
ajst-25807	62	28	data	datum	NOUN
ajst-25807	62	29	.	.	PUNCT
ajst-25807	63	1	3.2.3	3.2.3	X
ajst-25807	63	2	.	.	X
ajst-25807	63	3	association	association	NOUN
ajst-25807	63	4	rules	rule	NOUN
ajst-25807	63	5	association	association	PROPN
ajst-25807	63	6	rule	rule	NOUN
ajst-25807	63	7	mining	mining	NOUN
ajst-25807	63	8	is	be	AUX
ajst-25807	63	9	a	a	DET
ajst-25807	63	10	pivotal	pivotal	ADJ
ajst-25807	63	11	technique	technique	NOUN
ajst-25807	63	12	in	in	ADP
ajst-25807	63	13	data	datum	NOUN
ajst-25807	63	14	mining	mining	NOUN
ajst-25807	63	15	,	,	PUNCT
ajst-25807	63	16	aimed	aim	VERB
ajst-25807	63	17	at	at	ADP
ajst-25807	63	18	uncovering	uncover	VERB
ajst-25807	63	19	implicit	implicit	ADJ
ajst-25807	63	20	associations	association	NOUN
ajst-25807	63	21	between	between	ADP
ajst-25807	63	22	itemsets	itemset	NOUN
ajst-25807	63	23	within	within	ADP
ajst-25807	63	24	vast	vast	ADJ
ajst-25807	63	25	datasets	dataset	NOUN
ajst-25807	63	26	.	.	PUNCT
ajst-25807	64	1	this	this	DET
ajst-25807	64	2	technique	technique	NOUN
ajst-25807	64	3	finds	find	VERB
ajst-25807	64	4	extensive	extensive	ADJ
ajst-25807	64	5	application	application	NOUN
ajst-25807	64	6	in	in	ADP
ajst-25807	64	7	market	market	NOUN
ajst-25807	64	8	basket	basket	NOUN
ajst-25807	64	9	analysis	analysis	NOUN
ajst-25807	64	10	,	,	PUNCT
ajst-25807	64	11	assisting	assist	VERB
ajst-25807	64	12	businesses	business	NOUN
ajst-25807	64	13	in	in	ADP
ajst-25807	64	14	optimizing	optimize	VERB
ajst-25807	64	15	product	product	NOUN
ajst-25807	64	16	placement	placement	NOUN
ajst-25807	64	17	and	and	CCONJ
ajst-25807	64	18	promotional	promotional	ADJ
ajst-25807	64	19	strategies	strategy	NOUN
ajst-25807	64	20	by	by	ADP
ajst-25807	64	21	revealing	reveal	VERB
ajst-25807	64	22	purchasing	purchasing	NOUN
ajst-25807	64	23	relationships	relationship	NOUN
ajst-25807	64	24	between	between	ADP
ajst-25807	64	25	various	various	ADJ
ajst-25807	64	26	products	product	NOUN
ajst-25807	64	27	.	.	PUNCT
ajst-25807	65	1	the	the	DET
ajst-25807	65	2	apriori	apriori	PROPN
ajst-25807	65	3	algorithm	algorithm	NOUN
ajst-25807	65	4	stands	stand	VERB
ajst-25807	65	5	as	as	ADP
ajst-25807	65	6	one	one	NUM
ajst-25807	65	7	of	of	ADP
ajst-25807	65	8	the	the	DET
ajst-25807	65	9	most	most	ADV
ajst-25807	65	10	classical	classical	ADJ
ajst-25807	65	11	methods	method	NOUN
ajst-25807	65	12	in	in	ADP
ajst-25807	65	13	association	association	NOUN
ajst-25807	65	14	rule	rule	NOUN
ajst-25807	65	15	mining	mining	NOUN
ajst-25807	65	16	,	,	PUNCT
ajst-25807	65	17	effectively	effectively	ADV
ajst-25807	65	18	discovering	discover	VERB
ajst-25807	65	19	potential	potential	ADJ
ajst-25807	65	20	associations	association	NOUN
ajst-25807	65	21	through	through	ADP
ajst-25807	65	22	the	the	DET
ajst-25807	65	23	iterative	iterative	ADJ
ajst-25807	65	24	expansion	expansion	NOUN
ajst-25807	65	25	of	of	ADP
ajst-25807	65	26	frequent	frequent	ADJ
ajst-25807	65	27	itemsets	itemset	NOUN
ajst-25807	65	28	.	.	PUNCT
ajst-25807	66	1	however	however	ADV
ajst-25807	66	2	,	,	PUNCT
ajst-25807	66	3	the	the	DET
ajst-25807	66	4	efficiency	efficiency	NOUN
ajst-25807	66	5	of	of	ADP
ajst-25807	66	6	the	the	DET
ajst-25807	66	7	apriori	apriori	ADJ
ajst-25807	66	8	algorithm	algorithm	NOUN
ajst-25807	66	9	is	be	AUX
ajst-25807	66	10	impacted	impact	VERB
ajst-25807	66	11	by	by	ADP
ajst-25807	66	12	the	the	DET
ajst-25807	66	13	process	process	NOUN
ajst-25807	66	14	of	of	ADP
ajst-25807	66	15	generating	generate	VERB
ajst-25807	66	16	frequent	frequent	ADJ
ajst-25807	66	17	itemsets	itemset	NOUN
ajst-25807	66	18	,	,	PUNCT
ajst-25807	66	19	with	with	ADP
ajst-25807	66	20	its	its	PRON
ajst-25807	66	21	computational	computational	ADJ
ajst-25807	66	22	complexity	complexity	NOUN
ajst-25807	66	23	increasing	increase	VERB
ajst-25807	66	24	exponentially	exponentially	ADV
ajst-25807	66	25	,	,	PUNCT
ajst-25807	66	26	particularly	particularly	ADV
ajst-25807	66	27	when	when	SCONJ
ajst-25807	66	28	handling	handle	VERB
ajst-25807	66	29	large	large	ADJ
ajst-25807	66	30	-	-	PUNCT
ajst-25807	66	31	scale	scale	NOUN
ajst-25807	66	32	datasets	dataset	NOUN
ajst-25807	66	33	.	.	PUNCT
ajst-25807	67	1	to	to	PART
ajst-25807	67	2	enhance	enhance	VERB
ajst-25807	67	3	the	the	DET
ajst-25807	67	4	efficiency	efficiency	NOUN
ajst-25807	67	5	of	of	ADP
ajst-25807	67	6	association	association	NOUN
ajst-25807	67	7	rule	rule	NOUN
ajst-25807	67	8	mining	mining	NOUN
ajst-25807	67	9	,	,	PUNCT
ajst-25807	67	10	the	the	DET
ajst-25807	67	11	fpgrowth	fpgrowth	NOUN
ajst-25807	67	12	algorithm	algorithm	PROPN
ajst-25807	67	13	was	be	AUX
ajst-25807	67	14	developed	develop	VERB
ajst-25807	67	15	.	.	PUNCT
ajst-25807	68	1	fp	fp	X
ajst-25807	68	2	-	-	PUNCT
ajst-25807	68	3	growth	growth	NOUN
ajst-25807	68	4	compresses	compress	VERB
ajst-25807	68	5	the	the	DET
ajst-25807	68	6	dataset	dataset	NOUN
ajst-25807	68	7	by	by	ADP
ajst-25807	68	8	constructing	construct	VERB
ajst-25807	68	9	a	a	DET
ajst-25807	68	10	frequent	frequent	ADJ
ajst-25807	68	11	pattern	pattern	NOUN
ajst-25807	68	12	tree	tree	NOUN
ajst-25807	68	13	(	(	PUNCT
ajst-25807	68	14	fp	fp	ADJ
ajst-25807	68	15	-	-	PUNCT
ajst-25807	68	16	tree	tree	NOUN
ajst-25807	68	17	)	)	PUNCT
ajst-25807	68	18	,	,	PUNCT
ajst-25807	68	19	thereby	thereby	ADV
ajst-25807	68	20	avoiding	avoid	VERB
ajst-25807	68	21	the	the	DET
ajst-25807	68	22	cumbersome	cumbersome	ADJ
ajst-25807	68	23	candidate	candidate	NOUN
ajst-25807	68	24	itemset	itemset	NOUN
ajst-25807	68	25	generation	generation	NOUN
ajst-25807	68	26	process	process	NOUN
ajst-25807	68	27	found	find	VERB
ajst-25807	68	28	in	in	ADP
ajst-25807	68	29	apriori	apriori	PROPN
ajst-25807	68	30	.	.	PUNCT
ajst-25807	69	1	fp	fp	X
ajst-25807	69	2	-	-	PUNCT
ajst-25807	69	3	growth	growth	NOUN
ajst-25807	69	4	demonstrates	demonstrate	VERB
ajst-25807	69	5	superior	superior	ADJ
ajst-25807	69	6	efficiency	efficiency	NOUN
ajst-25807	69	7	and	and	CCONJ
ajst-25807	69	8	scalability	scalability	NOUN
ajst-25807	69	9	when	when	SCONJ
ajst-25807	69	10	dealing	deal	VERB
ajst-25807	69	11	with	with	ADP
ajst-25807	69	12	largescale	largescale	ADJ
ajst-25807	69	13	data	datum	NOUN
ajst-25807	69	14	.	.	PUNCT
ajst-25807	70	1	nonetheless	nonetheless	ADV
ajst-25807	70	2	,	,	PUNCT
ajst-25807	70	3	the	the	DET
ajst-25807	70	4	complexity	complexity	NOUN
ajst-25807	70	5	associated	associate	VERB
ajst-25807	70	6	with	with	ADP
ajst-25807	70	7	the	the	DET
ajst-25807	70	8	construction	construction	NOUN
ajst-25807	70	9	and	and	CCONJ
ajst-25807	70	10	manipulation	manipulation	NOUN
ajst-25807	70	11	of	of	ADP
ajst-25807	70	12	fp	fp	NOUN
ajst-25807	70	13	-	-	PUNCT
ajst-25807	70	14	trees	tree	NOUN
ajst-25807	70	15	necessitates	necessitate	VERB
ajst-25807	70	16	substantial	substantial	ADJ
ajst-25807	70	17	memory	memory	NOUN
ajst-25807	70	18	usage	usage	NOUN
ajst-25807	70	19	,	,	PUNCT
ajst-25807	70	20	and	and	CCONJ
ajst-25807	70	21	fp	fp	NOUN
ajst-25807	70	22	-	-	PUNCT
ajst-25807	70	23	growth	growth	NOUN
ajst-25807	70	24	may	may	AUX
ajst-25807	70	25	encounter	encounter	VERB
ajst-25807	70	26	performance	performance	NOUN
ajst-25807	70	27	bottlenecks	bottleneck	NOUN
ajst-25807	70	28	in	in	ADP
ajst-25807	70	29	high	high	ADV
ajst-25807	70	30	-	-	PUNCT
ajst-25807	70	31	dimensional	dimensional	ADJ
ajst-25807	70	32	or	or	CCONJ
ajst-25807	70	33	sparse	sparse	ADJ
ajst-25807	70	34	datasets	dataset	NOUN
ajst-25807	70	35	.	.	PUNCT
ajst-25807	71	1	when	when	SCONJ
ajst-25807	71	2	selecting	select	VERB
ajst-25807	71	3	an	an	DET
ajst-25807	71	4	association	association	NOUN
ajst-25807	71	5	rule	rule	NOUN
ajst-25807	71	6	mining	mining	NOUN
ajst-25807	71	7	algorithm	algorithm	NOUN
ajst-25807	71	8	,	,	PUNCT
ajst-25807	71	9	it	it	PRON
ajst-25807	71	10	is	be	AUX
ajst-25807	71	11	crucial	crucial	ADJ
ajst-25807	71	12	to	to	PART
ajst-25807	71	13	balance	balance	VERB
ajst-25807	71	14	efficiency	efficiency	NOUN
ajst-25807	71	15	and	and	CCONJ
ajst-25807	71	16	complexity	complexity	NOUN
ajst-25807	71	17	while	while	SCONJ
ajst-25807	71	18	considering	consider	VERB
ajst-25807	71	19	the	the	DET
ajst-25807	71	20	specific	specific	ADJ
ajst-25807	71	21	characteristics	characteristic	NOUN
ajst-25807	71	22	of	of	ADP
ajst-25807	71	23	the	the	DET
ajst-25807	71	24	dataset	dataset	NOUN
ajst-25807	71	25	[	[	X
ajst-25807	71	26	4	4	NUM
ajst-25807	71	27	]	]	PUNCT
ajst-25807	71	28	.	.	PUNCT
ajst-25807	72	1	the	the	DET
ajst-25807	72	2	apriori	apriori	ADJ
ajst-25807	72	3	algorithm	algorithm	NOUN
ajst-25807	72	4	performs	perform	VERB
ajst-25807	72	5	well	well	ADV
ajst-25807	72	6	in	in	ADP
ajst-25807	72	7	scenarios	scenario	NOUN
ajst-25807	72	8	with	with	ADP
ajst-25807	72	9	relatively	relatively	ADV
ajst-25807	72	10	few	few	ADJ
ajst-25807	72	11	rules	rule	NOUN
ajst-25807	72	12	,	,	PUNCT
ajst-25807	72	13	whereas	whereas	SCONJ
ajst-25807	72	14	fp	fp	NOUN
ajst-25807	72	15	-	-	PUNCT
ajst-25807	72	16	growth	growth	NOUN
ajst-25807	72	17	is	be	AUX
ajst-25807	72	18	more	more	ADV
ajst-25807	72	19	suited	suited	ADJ
ajst-25807	72	20	for	for	ADP
ajst-25807	72	21	large	large	ADJ
ajst-25807	72	22	-	-	PUNCT
ajst-25807	72	23	scale	scale	NOUN
ajst-25807	72	24	,	,	PUNCT
ajst-25807	72	25	complex	complex	ADJ
ajst-25807	72	26	datasets	dataset	NOUN
ajst-25807	72	27	.	.	PUNCT
ajst-25807	73	1	regardless	regardless	ADV
ajst-25807	73	2	of	of	ADP
ajst-25807	73	3	the	the	DET
ajst-25807	73	4	chosen	choose	VERB
ajst-25807	73	5	method	method	NOUN
ajst-25807	73	6	,	,	PUNCT
ajst-25807	73	7	the	the	DET
ajst-25807	73	8	essence	essence	NOUN
ajst-25807	73	9	of	of	ADP
ajst-25807	73	10	association	association	NOUN
ajst-25807	73	11	rule	rule	NOUN
ajst-25807	73	12	mining	mining	NOUN
ajst-25807	73	13	lies	lie	VERB
ajst-25807	73	14	in	in	ADP
ajst-25807	73	15	revealing	reveal	VERB
ajst-25807	73	16	latent	latent	ADJ
ajst-25807	73	17	relationships	relationship	NOUN
ajst-25807	73	18	within	within	ADP
ajst-25807	73	19	the	the	DET
ajst-25807	73	20	data	datum	NOUN
ajst-25807	73	21	to	to	PART
ajst-25807	73	22	drive	drive	VERB
ajst-25807	73	23	data	data	NOUN
ajst-25807	73	24	-	-	PUNCT
ajst-25807	73	25	driven	drive	VERB
ajst-25807	73	26	decisions	decision	NOUN
ajst-25807	73	27	.	.	PUNCT
ajst-25807	74	1	however	however	ADV
ajst-25807	74	2	,	,	PUNCT
ajst-25807	74	3	this	this	DET
ajst-25807	74	4	process	process	NOUN
ajst-25807	74	5	demands	demand	VERB
ajst-25807	74	6	higher	high	ADJ
ajst-25807	74	7	data	datum	NOUN
ajst-25807	74	8	quality	quality	NOUN
ajst-25807	74	9	,	,	PUNCT
ajst-25807	74	10	with	with	ADP
ajst-25807	74	11	accuracy	accuracy	NOUN
ajst-25807	74	12	and	and	CCONJ
ajst-25807	74	13	completeness	completeness	NOUN
ajst-25807	74	14	being	be	AUX
ajst-25807	74	15	prerequisites	prerequisite	NOUN
ajst-25807	74	16	for	for	ADP
ajst-25807	74	17	mining	mining	NOUN
ajst-25807	74	18	effective	effective	ADJ
ajst-25807	74	19	association	association	NOUN
ajst-25807	74	20	rules	rule	NOUN
ajst-25807	74	21	.	.	PUNCT
ajst-25807	75	1	consequently	consequently	ADV
ajst-25807	75	2	,	,	PUNCT
ajst-25807	75	3	the	the	DET
ajst-25807	75	4	continuous	continuous	ADJ
ajst-25807	75	5	improvement	improvement	NOUN
ajst-25807	75	6	of	of	ADP
ajst-25807	75	7	algorithms	algorithm	NOUN
ajst-25807	75	8	to	to	PART
ajst-25807	75	9	address	address	VERB
ajst-25807	75	10	the	the	DET
ajst-25807	75	11	challenges	challenge	NOUN
ajst-25807	75	12	posed	pose	VERB
ajst-25807	75	13	by	by	ADP
ajst-25807	75	14	diverse	diverse	ADJ
ajst-25807	75	15	datasets	dataset	NOUN
ajst-25807	75	16	remains	remain	VERB
ajst-25807	75	17	a	a	DET
ajst-25807	75	18	significant	significant	ADJ
ajst-25807	75	19	research	research	NOUN
ajst-25807	75	20	focus	focus	NOUN
ajst-25807	75	21	in	in	ADP
ajst-25807	75	22	the	the	DET
ajst-25807	75	23	field	field	NOUN
ajst-25807	75	24	of	of	ADP
ajst-25807	75	25	data	datum	NOUN
ajst-25807	75	26	mining	mining	NOUN
ajst-25807	75	27	.	.	PUNCT
ajst-25807	76	1	3.2.4	3.2.4	NUM
ajst-25807	76	2	.	.	X
ajst-25807	76	3	abnormal	abnormal	ADJ
ajst-25807	76	4	detection	detection	NOUN
ajst-25807	76	5	anomaly	anomaly	NOUN
ajst-25807	76	6	detection	detection	NOUN
ajst-25807	76	7	plays	play	VERB
ajst-25807	76	8	a	a	DET
ajst-25807	76	9	pivotal	pivotal	ADJ
ajst-25807	76	10	role	role	NOUN
ajst-25807	76	11	in	in	ADP
ajst-25807	76	12	data	datum	NOUN
ajst-25807	76	13	mining	mining	NOUN
ajst-25807	76	14	,	,	PUNCT
ajst-25807	76	15	particularly	particularly	ADV
ajst-25807	76	16	when	when	SCONJ
ajst-25807	76	17	identifying	identify	VERB
ajst-25807	76	18	rare	rare	ADJ
ajst-25807	76	19	or	or	CCONJ
ajst-25807	76	20	unusual	unusual	ADJ
ajst-25807	76	21	patterns	pattern	NOUN
ajst-25807	76	22	within	within	ADP
ajst-25807	76	23	datasets	dataset	NOUN
ajst-25807	76	24	.	.	PUNCT
ajst-25807	77	1	the	the	DET
ajst-25807	77	2	isolation	isolation	NOUN
ajst-25807	77	3	forest	forest	NOUN
ajst-25807	77	4	,	,	PUNCT
ajst-25807	77	5	a	a	DET
ajst-25807	77	6	method	method	NOUN
ajst-25807	77	7	grounded	ground	VERB
ajst-25807	77	8	in	in	ADP
ajst-25807	77	9	the	the	DET
ajst-25807	77	10	principles	principle	NOUN
ajst-25807	77	11	of	of	ADP
ajst-25807	77	12	random	random	ADJ
ajst-25807	77	13	forests	forest	NOUN
ajst-25807	77	14	,	,	PUNCT
ajst-25807	77	15	employs	employ	VERB
ajst-25807	77	16	a	a	DET
ajst-25807	77	17	strategy	strategy	NOUN
ajst-25807	77	18	of	of	ADP
ajst-25807	77	19	progressively	progressively	ADV
ajst-25807	77	20	isolating	isolate	VERB
ajst-25807	77	21	data	datum	NOUN
ajst-25807	77	22	points	point	NOUN
ajst-25807	77	23	by	by	ADP
ajst-25807	77	24	randomly	randomly	ADV
ajst-25807	77	25	selecting	select	VERB
ajst-25807	77	26	features	feature	NOUN
ajst-25807	77	27	and	and	CCONJ
ajst-25807	77	28	split	split	ADJ
ajst-25807	77	29	values	value	NOUN
ajst-25807	77	30	.	.	PUNCT
ajst-25807	78	1	because	because	SCONJ
ajst-25807	78	2	anomalous	anomalous	ADJ
ajst-25807	78	3	points	point	NOUN
ajst-25807	78	4	are	be	AUX
ajst-25807	78	5	more	more	ADV
ajst-25807	78	6	easily	easily	ADV
ajst-25807	78	7	separated	separate	VERB
ajst-25807	78	8	,	,	PUNCT
ajst-25807	78	9	the	the	DET
ajst-25807	78	10	isolation	isolation	NOUN
ajst-25807	78	11	forest	forest	NOUN
ajst-25807	78	12	is	be	AUX
ajst-25807	78	13	adept	adept	ADJ
ajst-25807	78	14	at	at	ADP
ajst-25807	78	15	efficiently	efficiently	ADV
ajst-25807	78	16	18	18	NUM
ajst-25807	78	17	identifying	identify	VERB
ajst-25807	78	18	outliers	outlier	NOUN
ajst-25807	78	19	.	.	PUNCT
ajst-25807	79	1	it	it	PRON
ajst-25807	79	2	boasts	boast	VERB
ajst-25807	79	3	high	high	ADJ
ajst-25807	79	4	computational	computational	ADJ
ajst-25807	79	5	efficiency	efficiency	NOUN
ajst-25807	79	6	,	,	PUNCT
ajst-25807	79	7	making	make	VERB
ajst-25807	79	8	it	it	PRON
ajst-25807	79	9	suitable	suitable	ADJ
ajst-25807	79	10	for	for	ADP
ajst-25807	79	11	large	large	ADJ
ajst-25807	79	12	-	-	PUNCT
ajst-25807	79	13	scale	scale	NOUN
ajst-25807	79	14	datasets	dataset	NOUN
ajst-25807	79	15	,	,	PUNCT
ajst-25807	79	16	and	and	CCONJ
ajst-25807	79	17	imposes	impose	VERB
ajst-25807	79	18	minimal	minimal	ADJ
ajst-25807	79	19	assumptions	assumption	NOUN
ajst-25807	79	20	about	about	ADP
ajst-25807	79	21	data	datum	NOUN
ajst-25807	79	22	distribution	distribution	NOUN
ajst-25807	79	23	.	.	PUNCT
ajst-25807	80	1	nonetheless	nonetheless	ADV
ajst-25807	80	2	,	,	PUNCT
ajst-25807	80	3	when	when	SCONJ
ajst-25807	80	4	dealing	deal	VERB
ajst-25807	80	5	with	with	ADP
ajst-25807	80	6	high	high	ADJ
ajst-25807	80	7	-	-	PUNCT
ajst-25807	80	8	dimensional	dimensional	ADJ
ajst-25807	80	9	data	datum	NOUN
ajst-25807	80	10	,	,	PUNCT
ajst-25807	80	11	the	the	DET
ajst-25807	80	12	isolation	isolation	NOUN
ajst-25807	80	13	forest	forest	NOUN
ajst-25807	80	14	may	may	AUX
ajst-25807	80	15	encounter	encounter	VERB
ajst-25807	80	16	challenges	challenge	NOUN
ajst-25807	80	17	related	relate	VERB
ajst-25807	80	18	to	to	ADP
ajst-25807	80	19	performance	performance	NOUN
ajst-25807	80	20	,	,	PUNCT
ajst-25807	80	21	necessitating	necessitate	VERB
ajst-25807	80	22	careful	careful	ADJ
ajst-25807	80	23	parameter	parameter	NOUN
ajst-25807	80	24	adjustment	adjustment	NOUN
ajst-25807	80	25	to	to	PART
ajst-25807	80	26	balance	balance	VERB
ajst-25807	80	27	detection	detection	NOUN
ajst-25807	80	28	accuracy	accuracy	NOUN
ajst-25807	80	29	with	with	ADP
ajst-25807	80	30	computational	computational	ADJ
ajst-25807	80	31	complexity	complexity	NOUN
ajst-25807	80	32	.	.	PUNCT
ajst-25807	81	1	on	on	ADP
ajst-25807	81	2	the	the	DET
ajst-25807	81	3	other	other	ADJ
ajst-25807	81	4	hand	hand	NOUN
ajst-25807	81	5	,	,	PUNCT
ajst-25807	81	6	dbscan	dbscan	NOUN
ajst-25807	81	7	(	(	PUNCT
ajst-25807	81	8	density	density	NOUN
ajst-25807	81	9	-	-	PUNCT
ajst-25807	81	10	based	base	VERB
ajst-25807	81	11	spatial	spatial	ADJ
ajst-25807	81	12	clustering	clustering	NOUN
ajst-25807	81	13	of	of	ADP
ajst-25807	81	14	applications	application	NOUN
ajst-25807	81	15	with	with	ADP
ajst-25807	81	16	noise	noise	NOUN
ajst-25807	81	17	)	)	PUNCT
ajst-25807	81	18	represents	represent	VERB
ajst-25807	81	19	another	another	DET
ajst-25807	81	20	prevalent	prevalent	ADJ
ajst-25807	81	21	anomaly	anomaly	NOUN
ajst-25807	81	22	detection	detection	NOUN
ajst-25807	81	23	method	method	NOUN
ajst-25807	81	24	.	.	PUNCT
ajst-25807	82	1	it	it	PRON
ajst-25807	82	2	utilizes	utilize	VERB
ajst-25807	82	3	density	density	NOUN
ajst-25807	82	4	clustering	cluster	VERB
ajst-25807	82	5	to	to	ADP
ajst-25807	82	6	group	group	NOUN
ajst-25807	82	7	points	point	NOUN
ajst-25807	82	8	in	in	ADP
ajst-25807	82	9	high	high	ADJ
ajst-25807	82	10	-	-	PUNCT
ajst-25807	82	11	density	density	NOUN
ajst-25807	82	12	regions	region	NOUN
ajst-25807	82	13	into	into	ADP
ajst-25807	82	14	clusters	cluster	NOUN
ajst-25807	82	15	while	while	SCONJ
ajst-25807	82	16	designating	designate	VERB
ajst-25807	82	17	points	point	NOUN
ajst-25807	82	18	in	in	ADP
ajst-25807	82	19	low	low	ADJ
ajst-25807	82	20	-	-	PUNCT
ajst-25807	82	21	density	density	NOUN
ajst-25807	82	22	regions	region	NOUN
ajst-25807	82	23	as	as	ADP
ajst-25807	82	24	anomalies	anomaly	NOUN
ajst-25807	82	25	.	.	PUNCT
ajst-25807	83	1	dbscan	dbscan	PROPN
ajst-25807	83	2	’s	’s	PART
ajst-25807	83	3	strengths	strength	NOUN
ajst-25807	83	4	lie	lie	VERB
ajst-25807	83	5	in	in	ADP
ajst-25807	83	6	its	its	PRON
ajst-25807	83	7	ability	ability	NOUN
ajst-25807	83	8	to	to	PART
ajst-25807	83	9	identify	identify	VERB
ajst-25807	83	10	clusters	cluster	NOUN
ajst-25807	83	11	of	of	ADP
ajst-25807	83	12	arbitrary	arbitrary	ADJ
ajst-25807	83	13	shape	shape	NOUN
ajst-25807	83	14	and	and	CCONJ
ajst-25807	83	15	its	its	PRON
ajst-25807	83	16	effectiveness	effectiveness	NOUN
ajst-25807	83	17	in	in	ADP
ajst-25807	83	18	detecting	detect	VERB
ajst-25807	83	19	noise	noise	NOUN
ajst-25807	83	20	points	point	NOUN
ajst-25807	83	21	without	without	ADP
ajst-25807	83	22	requiring	require	VERB
ajst-25807	83	23	a	a	DET
ajst-25807	83	24	predefined	predefine	VERB
ajst-25807	83	25	number	number	NOUN
ajst-25807	83	26	of	of	ADP
ajst-25807	83	27	clusters	cluster	NOUN
ajst-25807	83	28	[	[	X
ajst-25807	83	29	5	5	NUM
ajst-25807	83	30	]	]	PUNCT
ajst-25807	83	31	.	.	PUNCT
ajst-25807	84	1	however	however	ADV
ajst-25807	84	2	,	,	PUNCT
ajst-25807	84	3	dbscan	dbscan	PROPN
ajst-25807	84	4	is	be	AUX
ajst-25807	84	5	sensitive	sensitive	ADJ
ajst-25807	84	6	to	to	ADP
ajst-25807	84	7	parameter	parameter	PROPN
ajst-25807	84	8	selection	selection	NOUN
ajst-25807	84	9	,	,	PUNCT
ajst-25807	84	10	particularly	particularly	ADV
ajst-25807	84	11	in	in	ADP
ajst-25807	84	12	scenarios	scenario	NOUN
ajst-25807	84	13	with	with	ADP
ajst-25807	84	14	significant	significant	ADJ
ajst-25807	84	15	variations	variation	NOUN
ajst-25807	84	16	in	in	ADP
ajst-25807	84	17	data	datum	NOUN
ajst-25807	84	18	density	density	NOUN
ajst-25807	84	19	,	,	PUNCT
ajst-25807	84	20	making	make	VERB
ajst-25807	84	21	it	it	PRON
ajst-25807	84	22	difficult	difficult	ADJ
ajst-25807	84	23	to	to	PART
ajst-25807	84	24	determine	determine	VERB
ajst-25807	84	25	suitable	suitable	ADJ
ajst-25807	84	26	parameter	parameter	NOUN
ajst-25807	84	27	values	value	NOUN
ajst-25807	84	28	.	.	PUNCT
ajst-25807	85	1	additionally	additionally	ADV
ajst-25807	85	2	,	,	PUNCT
ajst-25807	85	3	its	its	PRON
ajst-25807	85	4	performance	performance	NOUN
ajst-25807	85	5	may	may	AUX
ajst-25807	85	6	be	be	AUX
ajst-25807	85	7	constrained	constrain	VERB
ajst-25807	85	8	when	when	SCONJ
ajst-25807	85	9	handling	handle	VERB
ajst-25807	85	10	high	high	ADJ
ajst-25807	85	11	-	-	PUNCT
ajst-25807	85	12	dimensional	dimensional	ADJ
ajst-25807	85	13	data	datum	NOUN
ajst-25807	85	14	.	.	PUNCT
ajst-25807	86	1	in	in	ADP
ajst-25807	86	2	practical	practical	ADJ
ajst-25807	86	3	applications	application	NOUN
ajst-25807	86	4	of	of	ADP
ajst-25807	86	5	anomaly	anomaly	NOUN
ajst-25807	86	6	detection	detection	NOUN
ajst-25807	86	7	,	,	PUNCT
ajst-25807	86	8	choosing	choose	VERB
ajst-25807	86	9	the	the	DET
ajst-25807	86	10	appropriate	appropriate	ADJ
ajst-25807	86	11	algorithm	algorithm	NOUN
ajst-25807	86	12	is	be	AUX
ajst-25807	86	13	crucial	crucial	ADJ
ajst-25807	86	14	.	.	PUNCT
ajst-25807	87	1	the	the	DET
ajst-25807	87	2	isolation	isolation	NOUN
ajst-25807	87	3	forest	forest	NOUN
ajst-25807	87	4	is	be	AUX
ajst-25807	87	5	well	well	ADV
ajst-25807	87	6	-	-	PUNCT
ajst-25807	87	7	suited	suit	VERB
ajst-25807	87	8	for	for	ADP
ajst-25807	87	9	large	large	ADJ
ajst-25807	87	10	-	-	PUNCT
ajst-25807	87	11	scale	scale	NOUN
ajst-25807	87	12	,	,	PUNCT
ajst-25807	87	13	feature	feature	NOUN
ajst-25807	87	14	-	-	PUNCT
ajst-25807	87	15	rich	rich	ADJ
ajst-25807	87	16	environments	environment	NOUN
ajst-25807	87	17	,	,	PUNCT
ajst-25807	87	18	whereas	whereas	SCONJ
ajst-25807	87	19	dbscan	dbscan	ADJ
ajst-25807	87	20	excels	excel	VERB
ajst-25807	87	21	in	in	ADP
ajst-25807	87	22	scenarios	scenario	NOUN
ajst-25807	87	23	requiring	require	VERB
ajst-25807	87	24	the	the	DET
ajst-25807	87	25	identification	identification	NOUN
ajst-25807	87	26	of	of	ADP
ajst-25807	87	27	complex	complex	ADJ
ajst-25807	87	28	cluster	cluster	NOUN
ajst-25807	87	29	structures	structure	NOUN
ajst-25807	87	30	.	.	PUNCT
ajst-25807	88	1	it	it	PRON
ajst-25807	88	2	is	be	AUX
ajst-25807	88	3	important	important	ADJ
ajst-25807	88	4	to	to	PART
ajst-25807	88	5	note	note	VERB
ajst-25807	88	6	that	that	PRON
ajst-25807	88	7	anomaly	anomaly	NOUN
ajst-25807	88	8	detection	detection	NOUN
ajst-25807	88	9	demands	demand	VERB
ajst-25807	88	10	not	not	PART
ajst-25807	88	11	only	only	ADV
ajst-25807	88	12	robust	robust	ADJ
ajst-25807	88	13	algorithms	algorithm	NOUN
ajst-25807	88	14	but	but	CCONJ
ajst-25807	88	15	also	also	ADV
ajst-25807	88	16	a	a	DET
ajst-25807	88	17	profound	profound	ADJ
ajst-25807	88	18	understanding	understanding	NOUN
ajst-25807	88	19	of	of	ADP
ajst-25807	88	20	the	the	DET
ajst-25807	88	21	data	datum	NOUN
ajst-25807	88	22	.	.	PUNCT
ajst-25807	89	1	factors	factor	NOUN
ajst-25807	89	2	such	such	ADJ
ajst-25807	89	3	as	as	ADP
ajst-25807	89	4	noise	noise	NOUN
ajst-25807	89	5	,	,	PUNCT
ajst-25807	89	6	incompleteness	incompleteness	NOUN
ajst-25807	89	7	,	,	PUNCT
ajst-25807	89	8	and	and	CCONJ
ajst-25807	89	9	distribution	distribution	NOUN
ajst-25807	89	10	characteristics	characteristic	NOUN
ajst-25807	89	11	can	can	AUX
ajst-25807	89	12	significantly	significantly	ADV
ajst-25807	89	13	impact	impact	VERB
ajst-25807	89	14	the	the	DET
ajst-25807	89	15	effectiveness	effectiveness	NOUN
ajst-25807	89	16	of	of	ADP
ajst-25807	89	17	anomaly	anomaly	NOUN
ajst-25807	89	18	detection	detection	NOUN
ajst-25807	89	19	,	,	PUNCT
ajst-25807	89	20	rendering	render	VERB
ajst-25807	89	21	it	it	PRON
ajst-25807	89	22	both	both	CCONJ
ajst-25807	89	23	a	a	DET
ajst-25807	89	24	tool	tool	NOUN
ajst-25807	89	25	and	and	CCONJ
ajst-25807	89	26	a	a	DET
ajst-25807	89	27	vital	vital	ADJ
ajst-25807	89	28	measure	measure	NOUN
ajst-25807	89	29	of	of	ADP
ajst-25807	89	30	data	datum	NOUN
ajst-25807	89	31	quality	quality	NOUN
ajst-25807	89	32	in	in	ADP
ajst-25807	89	33	the	the	DET
ajst-25807	89	34	analysis	analysis	NOUN
ajst-25807	89	35	of	of	ADP
ajst-25807	89	36	data	datum	NOUN
ajst-25807	89	37	quality	quality	NOUN
ajst-25807	89	38	.	.	PUNCT
ajst-25807	90	1	4	4	X
ajst-25807	90	2	.	.	X
ajst-25807	90	3	application	application	NOUN
ajst-25807	90	4	of	of	ADP
ajst-25807	90	5	data	datum	NOUN
ajst-25807	90	6	mining	mining	NOUN
ajst-25807	90	7	in	in	ADP
ajst-25807	90	8	data	datum	NOUN
ajst-25807	90	9	quality	quality	NOUN
ajst-25807	90	10	analysis	analysis	NOUN
ajst-25807	90	11	4.1	4.1	NUM
ajst-25807	90	12	.	.	PUNCT
ajst-25807	91	1	data	datum	NOUN
ajst-25807	91	2	preprocessing	preprocessing	NOUN
ajst-25807	91	3	and	and	CCONJ
ajst-25807	91	4	cleaning	clean	VERB
ajst-25807	91	5	in	in	ADP
ajst-25807	91	6	practical	practical	ADJ
ajst-25807	91	7	data	datum	NOUN
ajst-25807	91	8	processing	processing	NOUN
ajst-25807	91	9	,	,	PUNCT
ajst-25807	91	10	raw	raw	ADJ
ajst-25807	91	11	data	datum	NOUN
ajst-25807	91	12	often	often	ADV
ajst-25807	91	13	suffers	suffer	VERB
ajst-25807	91	14	from	from	ADP
ajst-25807	91	15	noise	noise	NOUN
ajst-25807	91	16	,	,	PUNCT
ajst-25807	91	17	missing	miss	VERB
ajst-25807	91	18	values	value	NOUN
ajst-25807	91	19	,	,	PUNCT
ajst-25807	91	20	duplicate	duplicate	ADJ
ajst-25807	91	21	records	record	NOUN
ajst-25807	91	22	,	,	PUNCT
ajst-25807	91	23	and	and	CCONJ
ajst-25807	91	24	inconsistencies	inconsistency	NOUN
ajst-25807	91	25	,	,	PUNCT
ajst-25807	91	26	which	which	PRON
ajst-25807	91	27	can	can	AUX
ajst-25807	91	28	significantly	significantly	ADV
ajst-25807	91	29	impact	impact	VERB
ajst-25807	91	30	subsequent	subsequent	ADJ
ajst-25807	91	31	analysis	analysis	NOUN
ajst-25807	91	32	and	and	CCONJ
ajst-25807	91	33	modeling	modeling	NOUN
ajst-25807	91	34	.	.	PUNCT
ajst-25807	92	1	consequently	consequently	ADV
ajst-25807	92	2	,	,	PUNCT
ajst-25807	92	3	data	datum	NOUN
ajst-25807	92	4	preprocessing	preprocessing	NOUN
ajst-25807	92	5	is	be	AUX
ajst-25807	92	6	not	not	PART
ajst-25807	92	7	only	only	ADV
ajst-25807	92	8	a	a	DET
ajst-25807	92	9	means	means	NOUN
ajst-25807	92	10	to	to	PART
ajst-25807	92	11	enhance	enhance	VERB
ajst-25807	92	12	data	datum	NOUN
ajst-25807	92	13	quality	quality	NOUN
ajst-25807	92	14	but	but	CCONJ
ajst-25807	92	15	also	also	ADV
ajst-25807	92	16	a	a	DET
ajst-25807	92	17	fundamental	fundamental	ADJ
ajst-25807	92	18	prerequisite	prerequisite	NOUN
ajst-25807	92	19	for	for	ADP
ajst-25807	92	20	ensuring	ensure	VERB
ajst-25807	92	21	the	the	DET
ajst-25807	92	22	efficacy	efficacy	NOUN
ajst-25807	92	23	of	of	ADP
ajst-25807	92	24	data	datum	NOUN
ajst-25807	92	25	mining	mining	NOUN
ajst-25807	92	26	.	.	PUNCT
ajst-25807	93	1	the	the	DET
ajst-25807	93	2	core	core	PROPN
ajst-25807	93	3	task	task	NOUN
ajst-25807	93	4	of	of	ADP
ajst-25807	93	5	data	datum	NOUN
ajst-25807	93	6	cleaning	cleaning	NOUN
ajst-25807	93	7	is	be	AUX
ajst-25807	93	8	to	to	PART
ajst-25807	93	9	identify	identify	VERB
ajst-25807	93	10	and	and	CCONJ
ajst-25807	93	11	rectify	rectify	VERB
ajst-25807	93	12	errors	error	NOUN
ajst-25807	93	13	and	and	CCONJ
ajst-25807	93	14	anomalies	anomaly	NOUN
ajst-25807	93	15	within	within	ADP
ajst-25807	93	16	the	the	DET
ajst-25807	93	17	data	datum	NOUN
ajst-25807	93	18	.	.	PUNCT
ajst-25807	94	1	for	for	ADP
ajst-25807	94	2	missing	miss	VERB
ajst-25807	94	3	values	value	NOUN
ajst-25807	94	4	,	,	PUNCT
ajst-25807	94	5	common	common	ADJ
ajst-25807	94	6	approaches	approach	NOUN
ajst-25807	94	7	include	include	VERB
ajst-25807	94	8	removing	remove	VERB
ajst-25807	94	9	records	record	NOUN
ajst-25807	94	10	with	with	ADP
ajst-25807	94	11	missing	miss	VERB
ajst-25807	94	12	data	datum	NOUN
ajst-25807	94	13	,	,	PUNCT
ajst-25807	94	14	imputing	impute	VERB
ajst-25807	94	15	missing	miss	VERB
ajst-25807	94	16	values	value	NOUN
ajst-25807	94	17	using	use	VERB
ajst-25807	94	18	means	mean	NOUN
ajst-25807	94	19	or	or	CCONJ
ajst-25807	94	20	medians	median	NOUN
ajst-25807	94	21	,	,	PUNCT
ajst-25807	94	22	or	or	CCONJ
ajst-25807	94	23	employing	employ	VERB
ajst-25807	94	24	more	more	ADV
ajst-25807	94	25	sophisticated	sophisticated	ADJ
ajst-25807	94	26	interpolation	interpolation	NOUN
ajst-25807	94	27	methods	method	NOUN
ajst-25807	94	28	to	to	PART
ajst-25807	94	29	estimate	estimate	VERB
ajst-25807	94	30	the	the	DET
ajst-25807	94	31	missing	miss	VERB
ajst-25807	94	32	values	value	NOUN
ajst-25807	94	33	.	.	PUNCT
ajst-25807	95	1	this	this	DET
ajst-25807	95	2	approach	approach	NOUN
ajst-25807	95	3	must	must	AUX
ajst-25807	95	4	be	be	AUX
ajst-25807	95	5	tailored	tailor	VERB
ajst-25807	95	6	to	to	ADP
ajst-25807	95	7	the	the	DET
ajst-25807	95	8	specific	specific	ADJ
ajst-25807	95	9	dataset	dataset	NOUN
ajst-25807	95	10	and	and	CCONJ
ajst-25807	95	11	application	application	NOUN
ajst-25807	95	12	scenario	scenario	NOUN
ajst-25807	95	13	;	;	PUNCT
ajst-25807	95	14	excessive	excessive	ADJ
ajst-25807	95	15	deletion	deletion	NOUN
ajst-25807	95	16	may	may	AUX
ajst-25807	95	17	lead	lead	VERB
ajst-25807	95	18	to	to	ADP
ajst-25807	95	19	loss	loss	NOUN
ajst-25807	95	20	of	of	ADP
ajst-25807	95	21	information	information	NOUN
ajst-25807	95	22	,	,	PUNCT
ajst-25807	95	23	while	while	SCONJ
ajst-25807	95	24	simplistic	simplistic	ADJ
ajst-25807	95	25	imputation	imputation	NOUN
ajst-25807	95	26	methods	method	NOUN
ajst-25807	95	27	might	might	AUX
ajst-25807	95	28	obscure	obscure	VERB
ajst-25807	95	29	underlying	underlying	ADJ
ajst-25807	95	30	patterns	pattern	NOUN
ajst-25807	95	31	in	in	ADP
ajst-25807	95	32	the	the	DET
ajst-25807	95	33	data	datum	NOUN
ajst-25807	95	34	[	[	X
ajst-25807	95	35	6	6	NUM
ajst-25807	95	36	]	]	PUNCT
ajst-25807	95	37	.	.	PUNCT
ajst-25807	96	1	thus	thus	ADV
ajst-25807	96	2	,	,	PUNCT
ajst-25807	96	3	a	a	DET
ajst-25807	96	4	balance	balance	NOUN
ajst-25807	96	5	must	must	AUX
ajst-25807	96	6	be	be	AUX
ajst-25807	96	7	struck	strike	VERB
ajst-25807	96	8	between	between	ADP
ajst-25807	96	9	maintaining	maintain	VERB
ajst-25807	96	10	data	datum	NOUN
ajst-25807	96	11	integrity	integrity	NOUN
ajst-25807	96	12	and	and	CCONJ
ajst-25807	96	13	optimizing	optimize	VERB
ajst-25807	96	14	model	model	NOUN
ajst-25807	96	15	performance	performance	NOUN
ajst-25807	96	16	.	.	PUNCT
ajst-25807	97	1	handling	handling	NOUN
ajst-25807	97	2	noise	noise	NOUN
ajst-25807	97	3	is	be	AUX
ajst-25807	97	4	also	also	ADV
ajst-25807	97	5	a	a	DET
ajst-25807	97	6	critical	critical	ADJ
ajst-25807	97	7	task	task	NOUN
ajst-25807	97	8	in	in	ADP
ajst-25807	97	9	data	datum	NOUN
ajst-25807	97	10	cleaning	clean	VERB
ajst-25807	97	11	,	,	PUNCT
ajst-25807	97	12	particularly	particularly	ADV
ajst-25807	97	13	in	in	ADP
ajst-25807	97	14	contexts	context	NOUN
ajst-25807	97	15	such	such	ADJ
ajst-25807	97	16	as	as	ADP
ajst-25807	97	17	sensor	sensor	NOUN
ajst-25807	97	18	data	datum	NOUN
ajst-25807	97	19	or	or	CCONJ
ajst-25807	97	20	user	user	NOUN
ajst-25807	97	21	input	input	NOUN
ajst-25807	97	22	data	datum	NOUN
ajst-25807	97	23	,	,	PUNCT
ajst-25807	97	24	where	where	SCONJ
ajst-25807	97	25	noise	noise	NOUN
ajst-25807	97	26	often	often	ADV
ajst-25807	97	27	manifests	manifest	VERB
ajst-25807	97	28	as	as	ADP
ajst-25807	97	29	outliers	outlier	NOUN
ajst-25807	97	30	.	.	PUNCT
ajst-25807	98	1	to	to	PART
ajst-25807	98	2	effectively	effectively	ADV
ajst-25807	98	3	remove	remove	VERB
ajst-25807	98	4	noise	noise	NOUN
ajst-25807	98	5	,	,	PUNCT
ajst-25807	98	6	common	common	ADJ
ajst-25807	98	7	techniques	technique	NOUN
ajst-25807	98	8	include	include	VERB
ajst-25807	98	9	smoothing	smooth	VERB
ajst-25807	98	10	filters	filter	NOUN
ajst-25807	98	11	and	and	CCONJ
ajst-25807	98	12	regression	regression	VERB
ajst-25807	98	13	analysis	analysis	NOUN
ajst-25807	98	14	,	,	PUNCT
ajst-25807	98	15	complemented	complement	VERB
ajst-25807	98	16	by	by	ADP
ajst-25807	98	17	anomaly	anomaly	NOUN
ajst-25807	98	18	detection	detection	NOUN
ajst-25807	98	19	methods	method	NOUN
ajst-25807	98	20	such	such	ADJ
ajst-25807	98	21	as	as	ADP
ajst-25807	98	22	isolation	isolation	NOUN
ajst-25807	98	23	forests	forest	NOUN
ajst-25807	98	24	or	or	CCONJ
ajst-25807	98	25	density	density	NOUN
ajst-25807	98	26	clustering	clustering	NOUN
ajst-25807	98	27	,	,	PUNCT
ajst-25807	98	28	which	which	PRON
ajst-25807	98	29	can	can	AUX
ajst-25807	98	30	identify	identify	VERB
ajst-25807	98	31	and	and	CCONJ
ajst-25807	98	32	eliminate	eliminate	VERB
ajst-25807	98	33	or	or	CCONJ
ajst-25807	98	34	correct	correct	VERB
ajst-25807	98	35	extreme	extreme	ADJ
ajst-25807	98	36	data	datum	NOUN
ajst-25807	98	37	points	point	NOUN
ajst-25807	98	38	.	.	PUNCT
ajst-25807	99	1	during	during	ADP
ajst-25807	99	2	noise	noise	NOUN
ajst-25807	99	3	removal	removal	NOUN
ajst-25807	99	4	,	,	PUNCT
ajst-25807	99	5	excessive	excessive	ADJ
ajst-25807	99	6	cleaning	cleaning	NOUN
ajst-25807	99	7	might	might	AUX
ajst-25807	99	8	result	result	VERB
ajst-25807	99	9	in	in	ADP
ajst-25807	99	10	the	the	DET
ajst-25807	99	11	loss	loss	NOUN
ajst-25807	99	12	of	of	ADP
ajst-25807	99	13	valuable	valuable	ADJ
ajst-25807	99	14	outlier	outlier	NOUN
ajst-25807	99	15	information	information	NOUN
ajst-25807	99	16	,	,	PUNCT
ajst-25807	99	17	especially	especially	ADV
ajst-25807	99	18	in	in	ADP
ajst-25807	99	19	certain	certain	ADJ
ajst-25807	99	20	analytical	analytical	ADJ
ajst-25807	99	21	scenarios	scenario	NOUN
ajst-25807	99	22	where	where	SCONJ
ajst-25807	99	23	outliers	outlier	NOUN
ajst-25807	99	24	themselves	themselves	PRON
ajst-25807	99	25	hold	hold	VERB
ajst-25807	99	26	significant	significant	ADJ
ajst-25807	99	27	meaning	meaning	NOUN
ajst-25807	99	28	.	.	PUNCT
ajst-25807	100	1	therefore	therefore	ADV
ajst-25807	100	2	,	,	PUNCT
ajst-25807	100	3	noise	noise	NOUN
ajst-25807	100	4	handling	handling	NOUN
ajst-25807	100	5	requires	require	VERB
ajst-25807	100	6	a	a	DET
ajst-25807	100	7	deep	deep	ADJ
ajst-25807	100	8	understanding	understanding	NOUN
ajst-25807	100	9	of	of	ADP
ajst-25807	100	10	the	the	DET
ajst-25807	100	11	data	datum	NOUN
ajst-25807	100	12	and	and	CCONJ
ajst-25807	100	13	must	must	AUX
ajst-25807	100	14	be	be	AUX
ajst-25807	100	15	balanced	balance	VERB
ajst-25807	100	16	against	against	ADP
ajst-25807	100	17	specific	specific	ADJ
ajst-25807	100	18	application	application	NOUN
ajst-25807	100	19	objectives	objective	NOUN
ajst-25807	100	20	.	.	PUNCT
ajst-25807	101	1	duplicate	duplicate	VERB
ajst-25807	101	2	records	record	NOUN
ajst-25807	101	3	and	and	CCONJ
ajst-25807	101	4	inconsistencies	inconsistency	NOUN
ajst-25807	101	5	are	be	AUX
ajst-25807	101	6	additional	additional	ADJ
ajst-25807	101	7	significant	significant	ADJ
ajst-25807	101	8	factors	factor	NOUN
ajst-25807	101	9	affecting	affect	VERB
ajst-25807	101	10	data	datum	NOUN
ajst-25807	101	11	quality	quality	NOUN
ajst-25807	101	12	.	.	PUNCT
ajst-25807	102	1	the	the	DET
ajst-25807	102	2	presence	presence	NOUN
ajst-25807	102	3	of	of	ADP
ajst-25807	102	4	duplicate	duplicate	ADJ
ajst-25807	102	5	records	record	NOUN
ajst-25807	102	6	can	can	AUX
ajst-25807	102	7	skew	skew	VERB
ajst-25807	102	8	analysis	analysis	NOUN
ajst-25807	102	9	results	result	NOUN
ajst-25807	102	10	toward	toward	ADP
ajst-25807	102	11	specific	specific	ADJ
ajst-25807	102	12	data	datum	NOUN
ajst-25807	102	13	points	point	NOUN
ajst-25807	102	14	,	,	PUNCT
ajst-25807	102	15	leading	lead	VERB
ajst-25807	102	16	to	to	ADP
ajst-25807	102	17	bias	bias	VERB
ajst-25807	102	18	.	.	PUNCT
ajst-25807	103	1	common	common	ADJ
ajst-25807	103	2	strategies	strategy	NOUN
ajst-25807	103	3	for	for	ADP
ajst-25807	103	4	handling	handle	VERB
ajst-25807	103	5	duplicates	duplicate	NOUN
ajst-25807	103	6	include	include	VERB
ajst-25807	103	7	deduplication	deduplication	NOUN
ajst-25807	103	8	methods	method	NOUN
ajst-25807	103	9	based	base	VERB
ajst-25807	103	10	on	on	ADP
ajst-25807	103	11	primary	primary	ADJ
ajst-25807	103	12	keys	key	NOUN
ajst-25807	103	13	or	or	CCONJ
ajst-25807	103	14	specific	specific	ADJ
ajst-25807	103	15	attributes	attribute	NOUN
ajst-25807	103	16	.	.	PUNCT
ajst-25807	104	1	however	however	ADV
ajst-25807	104	2	,	,	PUNCT
ajst-25807	104	3	inconsistencies	inconsistency	NOUN
ajst-25807	104	4	are	be	AUX
ajst-25807	104	5	more	more	ADV
ajst-25807	104	6	complex	complex	ADJ
ajst-25807	104	7	,	,	PUNCT
ajst-25807	104	8	often	often	ADV
ajst-25807	104	9	involving	involve	VERB
ajst-25807	104	10	data	datum	NOUN
ajst-25807	104	11	source	source	NOUN
ajst-25807	104	12	integration	integration	NOUN
ajst-25807	104	13	and	and	CCONJ
ajst-25807	104	14	standardization	standardization	NOUN
ajst-25807	104	15	of	of	ADP
ajst-25807	104	16	different	different	ADJ
ajst-25807	104	17	formats	format	NOUN
ajst-25807	104	18	,	,	PUNCT
ajst-25807	104	19	typically	typically	ADV
ajst-25807	104	20	necessitating	necessitate	VERB
ajst-25807	104	21	a	a	DET
ajst-25807	104	22	combination	combination	NOUN
ajst-25807	104	23	of	of	ADP
ajst-25807	104	24	domain	domain	NOUN
ajst-25807	104	25	knowledge	knowledge	NOUN
ajst-25807	104	26	and	and	CCONJ
ajst-25807	104	27	technical	technical	ADJ
ajst-25807	104	28	solutions	solution	NOUN
ajst-25807	104	29	.	.	PUNCT
ajst-25807	105	1	data	datum	NOUN
ajst-25807	105	2	preprocessing	preprocessing	NOUN
ajst-25807	105	3	is	be	AUX
ajst-25807	105	4	not	not	PART
ajst-25807	105	5	merely	merely	ADV
ajst-25807	105	6	a	a	DET
ajst-25807	105	7	process	process	NOUN
ajst-25807	105	8	of	of	ADP
ajst-25807	105	9	correcting	correct	VERB
ajst-25807	105	10	and	and	CCONJ
ajst-25807	105	11	optimizing	optimize	VERB
ajst-25807	105	12	data	datum	NOUN
ajst-25807	105	13	but	but	CCONJ
ajst-25807	105	14	also	also	ADV
ajst-25807	105	15	a	a	DET
ajst-25807	105	16	means	means	NOUN
ajst-25807	105	17	of	of	ADP
ajst-25807	105	18	deeply	deeply	ADV
ajst-25807	105	19	understanding	understanding	NOUN
ajst-25807	105	20	and	and	CCONJ
ajst-25807	105	21	evaluating	evaluate	VERB
ajst-25807	105	22	data	datum	NOUN
ajst-25807	105	23	quality	quality	NOUN
ajst-25807	105	24	.	.	PUNCT
ajst-25807	106	1	through	through	ADP
ajst-25807	106	2	data	datum	NOUN
ajst-25807	106	3	cleaning	cleaning	NOUN
ajst-25807	106	4	,	,	PUNCT
ajst-25807	106	5	potential	potential	ADJ
ajst-25807	106	6	issues	issue	NOUN
ajst-25807	106	7	can	can	AUX
ajst-25807	106	8	be	be	AUX
ajst-25807	106	9	uncovered	uncover	VERB
ajst-25807	106	10	and	and	CCONJ
ajst-25807	106	11	appropriate	appropriate	ADJ
ajst-25807	106	12	measures	measure	NOUN
ajst-25807	106	13	taken	take	VERB
ajst-25807	106	14	to	to	PART
ajst-25807	106	15	improve	improve	VERB
ajst-25807	106	16	data	datum	NOUN
ajst-25807	106	17	quality	quality	NOUN
ajst-25807	106	18	.	.	PUNCT
ajst-25807	107	1	data	datum	NOUN
ajst-25807	107	2	preprocessing	preprocessing	NOUN
ajst-25807	107	3	and	and	CCONJ
ajst-25807	107	4	cleaning	cleaning	NOUN
ajst-25807	107	5	are	be	AUX
ajst-25807	107	6	not	not	PART
ajst-25807	107	7	only	only	ADV
ajst-25807	107	8	preliminary	preliminary	ADJ
ajst-25807	107	9	steps	step	NOUN
ajst-25807	107	10	in	in	ADP
ajst-25807	107	11	data	datum	NOUN
ajst-25807	107	12	mining	mining	NOUN
ajst-25807	107	13	but	but	CCONJ
ajst-25807	107	14	are	be	AUX
ajst-25807	107	15	integral	integral	ADJ
ajst-25807	107	16	throughout	throughout	ADP
ajst-25807	107	17	the	the	DET
ajst-25807	107	18	entire	entire	ADJ
ajst-25807	107	19	data	datum	NOUN
ajst-25807	107	20	analysis	analysis	NOUN
ajst-25807	107	21	process	process	NOUN
ajst-25807	107	22	,	,	PUNCT
ajst-25807	107	23	continually	continually	ADV
ajst-25807	107	24	influencing	influence	VERB
ajst-25807	107	25	the	the	DET
ajst-25807	107	26	accuracy	accuracy	NOUN
ajst-25807	107	27	and	and	CCONJ
ajst-25807	107	28	reliability	reliability	NOUN
ajst-25807	107	29	of	of	ADP
ajst-25807	107	30	data	datum	NOUN
ajst-25807	107	31	analysis	analysis	NOUN
ajst-25807	107	32	.	.	PUNCT
ajst-25807	108	1	only	only	ADV
ajst-25807	108	2	through	through	ADP
ajst-25807	108	3	effective	effective	ADJ
ajst-25807	108	4	data	datum	NOUN
ajst-25807	108	5	preprocessing	preprocessing	NOUN
ajst-25807	108	6	can	can	AUX
ajst-25807	108	7	data	datum	NOUN
ajst-25807	108	8	mining	mining	NOUN
ajst-25807	108	9	techniques	technique	NOUN
ajst-25807	108	10	reach	reach	VERB
ajst-25807	108	11	their	their	PRON
ajst-25807	108	12	full	full	ADJ
ajst-25807	108	13	potential	potential	NOUN
ajst-25807	108	14	,	,	PUNCT
ajst-25807	108	15	truly	truly	ADV
ajst-25807	108	16	providing	provide	VERB
ajst-25807	108	17	valuable	valuable	ADJ
ajst-25807	108	18	support	support	NOUN
ajst-25807	108	19	for	for	ADP
ajst-25807	108	20	decisionmaking	decisionmake	VERB
ajst-25807	108	21	[	[	X
ajst-25807	108	22	7	7	NUM
ajst-25807	108	23	]	]	PUNCT
ajst-25807	108	24	.	.	PUNCT
ajst-25807	109	1	4.2	4.2	NUM
ajst-25807	109	2	.	.	PUNCT
ajst-25807	110	1	detection	detection	NOUN
ajst-25807	110	2	of	of	ADP
ajst-25807	110	3	data	datum	NOUN
ajst-25807	110	4	quality	quality	NOUN
ajst-25807	110	5	problems	problem	NOUN
ajst-25807	110	6	data	data	VERB
ajst-25807	110	7	quality	quality	NOUN
ajst-25807	110	8	issues	issue	NOUN
ajst-25807	110	9	typically	typically	ADV
ajst-25807	110	10	manifest	manifest	VERB
ajst-25807	110	11	as	as	ADP
ajst-25807	110	12	missing	miss	VERB
ajst-25807	110	13	values	value	NOUN
ajst-25807	110	14	,	,	PUNCT
ajst-25807	110	15	noise	noise	NOUN
ajst-25807	110	16	,	,	PUNCT
ajst-25807	110	17	duplicate	duplicate	ADJ
ajst-25807	110	18	data	datum	NOUN
ajst-25807	110	19	,	,	PUNCT
ajst-25807	110	20	outliers	outlier	NOUN
ajst-25807	110	21	,	,	PUNCT
ajst-25807	110	22	and	and	CCONJ
ajst-25807	110	23	inconsistencies	inconsistency	NOUN
ajst-25807	110	24	.	.	PUNCT
ajst-25807	111	1	these	these	DET
ajst-25807	111	2	challenges	challenge	NOUN
ajst-25807	111	3	may	may	AUX
ajst-25807	111	4	arise	arise	VERB
ajst-25807	111	5	from	from	ADP
ajst-25807	111	6	errors	error	NOUN
ajst-25807	111	7	during	during	ADP
ajst-25807	111	8	the	the	DET
ajst-25807	111	9	data	data	NOUN
ajst-25807	111	10	collection	collection	NOUN
ajst-25807	111	11	process	process	NOUN
ajst-25807	111	12	,	,	PUNCT
ajst-25807	111	13	oversights	oversight	NOUN
ajst-25807	111	14	during	during	ADP
ajst-25807	111	15	data	datum	NOUN
ajst-25807	111	16	entry	entry	NOUN
ajst-25807	111	17	,	,	PUNCT
ajst-25807	111	18	or	or	CCONJ
ajst-25807	111	19	conflicts	conflict	NOUN
ajst-25807	111	20	encountered	encounter	VERB
ajst-25807	111	21	during	during	ADP
ajst-25807	111	22	data	data	NOUN
ajst-25807	111	23	integration	integration	NOUN
ajst-25807	111	24	.	.	PUNCT
ajst-25807	112	1	the	the	DET
ajst-25807	112	2	timely	timely	ADJ
ajst-25807	112	3	identification	identification	NOUN
ajst-25807	112	4	and	and	CCONJ
ajst-25807	112	5	rectification	rectification	NOUN
ajst-25807	112	6	of	of	ADP
ajst-25807	112	7	data	datum	NOUN
ajst-25807	112	8	quality	quality	NOUN
ajst-25807	112	9	problems	problem	NOUN
ajst-25807	112	10	are	be	AUX
ajst-25807	112	11	prerequisites	prerequisite	NOUN
ajst-25807	112	12	for	for	ADP
ajst-25807	112	13	ensuring	ensure	VERB
ajst-25807	112	14	data	datum	NOUN
ajst-25807	112	15	reliability	reliability	NOUN
ajst-25807	112	16	and	and	CCONJ
ajst-25807	112	17	the	the	DET
ajst-25807	112	18	accuracy	accuracy	NOUN
ajst-25807	112	19	of	of	ADP
ajst-25807	112	20	analyses	analysis	NOUN
ajst-25807	112	21	.	.	PUNCT
ajst-25807	113	1	in	in	ADP
ajst-25807	113	2	addressing	address	VERB
ajst-25807	113	3	these	these	DET
ajst-25807	113	4	issues	issue	NOUN
ajst-25807	113	5	,	,	PUNCT
ajst-25807	113	6	data	datum	NOUN
ajst-25807	113	7	mining	mining	NOUN
ajst-25807	113	8	techniques	technique	NOUN
ajst-25807	113	9	offer	offer	VERB
ajst-25807	113	10	a	a	DET
ajst-25807	113	11	multitude	multitude	NOUN
ajst-25807	113	12	of	of	ADP
ajst-25807	113	13	effective	effective	ADJ
ajst-25807	113	14	methodologies	methodology	NOUN
ajst-25807	113	15	for	for	ADP
ajst-25807	113	16	detection	detection	NOUN
ajst-25807	113	17	.	.	PUNCT
ajst-25807	114	1	anomaly	anomaly	PROPN
ajst-25807	114	2	detection	detection	NOUN
ajst-25807	114	3	techniques	technique	NOUN
ajst-25807	114	4	,	,	PUNCT
ajst-25807	114	5	such	such	ADJ
ajst-25807	114	6	as	as	ADP
ajst-25807	114	7	isolation	isolation	NOUN
ajst-25807	114	8	forest	forest	NOUN
ajst-25807	114	9	and	and	CCONJ
ajst-25807	114	10	density	density	NOUN
ajst-25807	114	11	clustering	clustering	NOUN
ajst-25807	114	12	,	,	PUNCT
ajst-25807	114	13	can	can	AUX
ajst-25807	114	14	discern	discern	VERB
ajst-25807	114	15	elements	element	NOUN
ajst-25807	114	16	in	in	ADP
ajst-25807	114	17	a	a	DET
ajst-25807	114	18	dataset	dataset	NOUN
ajst-25807	114	19	that	that	PRON
ajst-25807	114	20	deviate	deviate	VERB
ajst-25807	114	21	from	from	ADP
ajst-25807	114	22	normative	normative	ADJ
ajst-25807	114	23	patterns	pattern	NOUN
ajst-25807	114	24	;	;	PUNCT
ajst-25807	114	25	these	these	DET
ajst-25807	114	26	anomalies	anomaly	NOUN
ajst-25807	114	27	often	often	ADV
ajst-25807	114	28	serve	serve	VERB
ajst-25807	114	29	as	as	ADP
ajst-25807	114	30	indicators	indicator	NOUN
ajst-25807	114	31	of	of	ADP
ajst-25807	114	32	potential	potential	ADJ
ajst-25807	114	33	data	datum	NOUN
ajst-25807	114	34	errors	error	NOUN
ajst-25807	114	35	or	or	CCONJ
ajst-25807	114	36	exceptional	exceptional	ADJ
ajst-25807	114	37	events	event	NOUN
ajst-25807	114	38	.	.	PUNCT
ajst-25807	115	1	furthermore	furthermore	ADV
ajst-25807	115	2	,	,	PUNCT
ajst-25807	115	3	statistical	statistical	ADJ
ajst-25807	115	4	analysis	analysis	NOUN
ajst-25807	115	5	methods	method	NOUN
ajst-25807	115	6	play	play	VERB
ajst-25807	115	7	a	a	DET
ajst-25807	115	8	crucial	crucial	ADJ
ajst-25807	115	9	role	role	NOUN
ajst-25807	115	10	in	in	ADP
ajst-25807	115	11	assessing	assess	VERB
ajst-25807	115	12	data	datum	NOUN
ajst-25807	115	13	quality	quality	NOUN
ajst-25807	115	14	,	,	PUNCT
ajst-25807	115	15	as	as	SCONJ
ajst-25807	115	16	they	they	PRON
ajst-25807	115	17	allow	allow	VERB
ajst-25807	115	18	for	for	ADP
ajst-25807	115	19	the	the	DET
ajst-25807	115	20	identification	identification	NOUN
ajst-25807	115	21	of	of	ADP
ajst-25807	115	22	biases	bias	NOUN
ajst-25807	115	23	and	and	CCONJ
ajst-25807	115	24	anomalies	anomaly	NOUN
ajst-25807	115	25	through	through	ADP
ajst-25807	115	26	the	the	DET
ajst-25807	115	27	examination	examination	NOUN
ajst-25807	115	28	of	of	ADP
ajst-25807	115	29	data	datum	NOUN
ajst-25807	115	30	distribution	distribution	NOUN
ajst-25807	115	31	,	,	PUNCT
ajst-25807	115	32	thereby	thereby	ADV
ajst-25807	115	33	facilitating	facilitate	VERB
ajst-25807	115	34	the	the	DET
ajst-25807	115	35	detection	detection	NOUN
ajst-25807	115	36	of	of	ADP
ajst-25807	115	37	underlying	underlie	VERB
ajst-25807	115	38	issues	issue	NOUN
ajst-25807	115	39	.	.	PUNCT
ajst-25807	116	1	for	for	ADP
ajst-25807	116	2	instance	instance	NOUN
ajst-25807	116	3	,	,	PUNCT
ajst-25807	116	4	employing	employ	VERB
ajst-25807	116	5	distribution	distribution	NOUN
ajst-25807	116	6	analysis	analysis	NOUN
ajst-25807	116	7	and	and	CCONJ
ajst-25807	116	8	box	box	NOUN
ajst-25807	116	9	plots	plot	NOUN
ajst-25807	116	10	can	can	AUX
ajst-25807	116	11	swiftly	swiftly	ADV
ajst-25807	116	12	pinpoint	pinpoint	VERB
ajst-25807	116	13	outliers	outlier	NOUN
ajst-25807	116	14	and	and	CCONJ
ajst-25807	116	15	extreme	extreme	ADJ
ajst-25807	116	16	values	value	NOUN
ajst-25807	116	17	,	,	PUNCT
ajst-25807	116	18	leading	lead	VERB
ajst-25807	116	19	to	to	ADP
ajst-25807	116	20	further	further	ADJ
ajst-25807	116	21	quality	quality	NOUN
ajst-25807	116	22	scrutiny	scrutiny	NOUN
ajst-25807	116	23	.	.	PUNCT
ajst-25807	117	1	data	datum	NOUN
ajst-25807	117	2	consistency	consistency	NOUN
ajst-25807	117	3	checks	check	NOUN
ajst-25807	117	4	represent	represent	VERB
ajst-25807	117	5	another	another	DET
ajst-25807	117	6	vital	vital	ADJ
ajst-25807	117	7	domain	domain	NOUN
ajst-25807	117	8	,	,	PUNCT
ajst-25807	117	9	particularly	particularly	ADV
ajst-25807	117	10	prominent	prominent	ADJ
ajst-25807	117	11	in	in	ADP
ajst-25807	117	12	the	the	DET
ajst-25807	117	13	integration	integration	NOUN
ajst-25807	117	14	of	of	ADP
ajst-25807	117	15	multi	multi	ADJ
ajst-25807	117	16	-	-	ADJ
ajst-25807	117	17	source	source	NOUN
ajst-25807	117	18	data	datum	NOUN
ajst-25807	117	19	.	.	PUNCT
ajst-25807	118	1	utilizing	utilize	VERB
ajst-25807	118	2	pattern	pattern	NOUN
ajst-25807	118	3	matching	match	VERB
ajst-25807	118	4	and	and	CCONJ
ajst-25807	118	5	rulechecking	rulechecke	VERB
ajst-25807	118	6	techniques	technique	NOUN
ajst-25807	118	7	effectively	effectively	ADV
ajst-25807	118	8	identifies	identify	VERB
ajst-25807	118	9	formatting	format	VERB
ajst-25807	118	10	errors	error	NOUN
ajst-25807	118	11	and	and	CCONJ
ajst-25807	118	12	inconsistencies	inconsistency	NOUN
ajst-25807	118	13	within	within	ADP
ajst-25807	118	14	the	the	DET
ajst-25807	118	15	data	datum	NOUN
ajst-25807	118	16	.	.	PUNCT
ajst-25807	119	1	for	for	ADP
ajst-25807	119	2	example	example	NOUN
ajst-25807	119	3	,	,	PUNCT
ajst-25807	119	4	in	in	ADP
ajst-25807	119	5	the	the	DET
ajst-25807	119	6	realm	realm	NOUN
ajst-25807	119	7	of	of	ADP
ajst-25807	119	8	geographic	geographic	ADJ
ajst-25807	119	9	information	information	NOUN
ajst-25807	119	10	systems	system	NOUN
ajst-25807	119	11	(	(	PUNCT
ajst-25807	119	12	gis	gis	NOUN
ajst-25807	119	13	)	)	PUNCT
ajst-25807	119	14	,	,	PUNCT
ajst-25807	119	15	discrepancies	discrepancy	NOUN
ajst-25807	119	16	in	in	ADP
ajst-25807	119	17	coordinate	coordinate	NOUN
ajst-25807	119	18	systems	system	NOUN
ajst-25807	119	19	may	may	AUX
ajst-25807	119	20	hinder	hinder	VERB
ajst-25807	119	21	accurate	accurate	ADJ
ajst-25807	119	22	data	datum	NOUN
ajst-25807	119	23	integration	integration	NOUN
ajst-25807	119	24	.	.	PUNCT
ajst-25807	120	1	consistency	consistency	NOUN
ajst-25807	120	2	checks	check	NOUN
ajst-25807	120	3	enable	enable	VERB
ajst-25807	120	4	the	the	DET
ajst-25807	120	5	timely	timely	ADJ
ajst-25807	120	6	identification	identification	NOUN
ajst-25807	120	7	of	of	ADP
ajst-25807	120	8	such	such	ADJ
ajst-25807	120	9	issues	issue	NOUN
ajst-25807	120	10	,	,	PUNCT
ajst-25807	120	11	allowing	allow	VERB
ajst-25807	120	12	for	for	ADP
ajst-25807	120	13	appropriate	appropriate	ADJ
ajst-25807	120	14	transformations	transformation	NOUN
ajst-25807	120	15	or	or	CCONJ
ajst-25807	120	16	corrections	correction	NOUN
ajst-25807	120	17	to	to	PART
ajst-25807	120	18	be	be	AUX
ajst-25807	120	19	implemented	implement	VERB
ajst-25807	120	20	.	.	PUNCT
ajst-25807	121	1	in	in	ADP
ajst-25807	121	2	practical	practical	ADJ
ajst-25807	121	3	applications	application	NOUN
ajst-25807	121	4	,	,	PUNCT
ajst-25807	121	5	the	the	DET
ajst-25807	121	6	detection	detection	NOUN
ajst-25807	121	7	of	of	ADP
ajst-25807	121	8	data	datum	NOUN
ajst-25807	121	9	quality	quality	NOUN
ajst-25807	121	10	problems	problem	NOUN
ajst-25807	121	11	relies	rely	VERB
ajst-25807	121	12	not	not	PART
ajst-25807	121	13	merely	merely	ADV
ajst-25807	121	14	on	on	ADP
ajst-25807	121	15	isolated	isolated	ADJ
ajst-25807	121	16	techniques	technique	NOUN
ajst-25807	121	17	but	but	CCONJ
ajst-25807	121	18	rather	rather	ADV
ajst-25807	121	19	necessitates	necessitate	VERB
ajst-25807	121	20	a	a	DET
ajst-25807	121	21	comprehensive	comprehensive	ADJ
ajst-25807	121	22	analysis	analysis	NOUN
ajst-25807	121	23	incorporating	incorporate	VERB
ajst-25807	121	24	various	various	ADJ
ajst-25807	121	25	methods	method	NOUN
ajst-25807	121	26	.	.	PUNCT
ajst-25807	122	1	a	a	DET
ajst-25807	122	2	combination	combination	NOUN
ajst-25807	122	3	of	of	ADP
ajst-25807	122	4	automated	automate	VERB
ajst-25807	122	5	detection	detection	NOUN
ajst-25807	122	6	tools	tool	NOUN
ajst-25807	122	7	and	and	CCONJ
ajst-25807	122	8	manual	manual	ADJ
ajst-25807	122	9	verification	verification	NOUN
ajst-25807	122	10	can	can	AUX
ajst-25807	122	11	effectively	effectively	ADV
ajst-25807	122	12	identify	identify	VERB
ajst-25807	122	13	issues	issue	NOUN
ajst-25807	122	14	within	within	ADP
ajst-25807	122	15	large	large	ADJ
ajst-25807	122	16	-	-	PUNCT
ajst-25807	122	17	scale	scale	NOUN
ajst-25807	122	18	datasets	dataset	NOUN
ajst-25807	122	19	and	and	CCONJ
ajst-25807	122	20	offer	offer	VERB
ajst-25807	122	21	remediation	remediation	NOUN
ajst-25807	122	22	suggestions	suggestion	NOUN
ajst-25807	122	23	[	[	X
ajst-25807	122	24	8	8	NUM
ajst-25807	122	25	]	]	PUNCT
ajst-25807	122	26	.	.	PUNCT
ajst-25807	123	1	nonetheless	nonetheless	ADV
ajst-25807	123	2	,	,	PUNCT
ajst-25807	123	3	data	datum	NOUN
ajst-25807	123	4	quality	quality	NOUN
ajst-25807	123	5	challenges	challenge	NOUN
ajst-25807	123	6	often	often	ADV
ajst-25807	123	7	exhibit	exhibit	VERB
ajst-25807	123	8	complexity	complexity	NOUN
ajst-25807	123	9	and	and	CCONJ
ajst-25807	123	10	obscurity	obscurity	NOUN
ajst-25807	123	11	,	,	PUNCT
ajst-25807	123	12	particularly	particularly	ADV
ajst-25807	123	13	within	within	ADP
ajst-25807	123	14	high	high	ADJ
ajst-25807	123	15	-	-	PUNCT
ajst-25807	123	16	dimensional	dimensional	ADJ
ajst-25807	123	17	and	and	CCONJ
ajst-25807	123	18	unstructured	unstructured	ADJ
ajst-25807	123	19	data	datum	NOUN
ajst-25807	123	20	.	.	PUNCT
ajst-25807	124	1	this	this	DET
ajst-25807	124	2	demands	demand	VERB
ajst-25807	124	3	that	that	SCONJ
ajst-25807	124	4	data	datum	NOUN
ajst-25807	124	5	analysts	analyst	NOUN
ajst-25807	124	6	possess	possess	VERB
ajst-25807	124	7	not	not	PART
ajst-25807	124	8	only	only	ADV
ajst-25807	124	9	technical	technical	ADJ
ajst-25807	124	10	proficiency	proficiency	NOUN
ajst-25807	124	11	but	but	CCONJ
ajst-25807	124	12	also	also	ADV
ajst-25807	124	13	a	a	DET
ajst-25807	124	14	profound	profound	ADJ
ajst-25807	124	15	understanding	understanding	NOUN
ajst-25807	124	16	and	and	CCONJ
ajst-25807	124	17	keen	keen	ADJ
ajst-25807	124	18	insight	insight	NOUN
ajst-25807	124	19	into	into	ADP
ajst-25807	124	20	the	the	DET
ajst-25807	124	21	data	datum	NOUN
ajst-25807	124	22	.	.	PUNCT
ajst-25807	125	1	through	through	ADP
ajst-25807	125	2	effective	effective	ADJ
ajst-25807	125	3	detection	detection	NOUN
ajst-25807	125	4	of	of	ADP
ajst-25807	125	5	data	datum	NOUN
ajst-25807	125	6	19	19	NUM
ajst-25807	125	7	quality	quality	NOUN
ajst-25807	125	8	issues	issue	NOUN
ajst-25807	125	9	,	,	PUNCT
ajst-25807	125	10	one	one	PRON
ajst-25807	125	11	can	can	AUX
ajst-25807	125	12	enhance	enhance	VERB
ajst-25807	125	13	the	the	DET
ajst-25807	125	14	accuracy	accuracy	NOUN
ajst-25807	125	15	and	and	CCONJ
ajst-25807	125	16	completeness	completeness	NOUN
ajst-25807	125	17	of	of	ADP
ajst-25807	125	18	data	datum	NOUN
ajst-25807	125	19	,	,	PUNCT
ajst-25807	125	20	thereby	thereby	ADV
ajst-25807	125	21	laying	lay	VERB
ajst-25807	125	22	a	a	DET
ajst-25807	125	23	robust	robust	ADJ
ajst-25807	125	24	foundation	foundation	NOUN
ajst-25807	125	25	for	for	ADP
ajst-25807	125	26	subsequent	subsequent	ADJ
ajst-25807	125	27	analyses	analysis	NOUN
ajst-25807	125	28	.	.	PUNCT
ajst-25807	126	1	this	this	DET
ajst-25807	126	2	process	process	NOUN
ajst-25807	126	3	is	be	AUX
ajst-25807	126	4	an	an	DET
ajst-25807	126	5	integral	integral	ADJ
ajst-25807	126	6	component	component	NOUN
ajst-25807	126	7	of	of	ADP
ajst-25807	126	8	data	datum	NOUN
ajst-25807	126	9	mining	mining	NOUN
ajst-25807	126	10	efforts	effort	NOUN
ajst-25807	126	11	,	,	PUNCT
ajst-25807	126	12	with	with	ADP
ajst-25807	126	13	its	its	PRON
ajst-25807	126	14	outcomes	outcome	NOUN
ajst-25807	126	15	directly	directly	ADV
ajst-25807	126	16	influencing	influence	VERB
ajst-25807	126	17	the	the	DET
ajst-25807	126	18	scientific	scientific	ADJ
ajst-25807	126	19	validity	validity	NOUN
ajst-25807	126	20	and	and	CCONJ
ajst-25807	126	21	effectiveness	effectiveness	NOUN
ajst-25807	126	22	of	of	ADP
ajst-25807	126	23	data	data	NOUN
ajst-25807	126	24	-	-	PUNCT
ajst-25807	126	25	driven	drive	VERB
ajst-25807	126	26	decisionmaking	decisionmaking	NOUN
ajst-25807	126	27	.	.	PUNCT
ajst-25807	127	1	thus	thus	ADV
ajst-25807	127	2	,	,	PUNCT
ajst-25807	127	3	the	the	DET
ajst-25807	127	4	detection	detection	NOUN
ajst-25807	127	5	of	of	ADP
ajst-25807	127	6	data	datum	NOUN
ajst-25807	127	7	quality	quality	NOUN
ajst-25807	127	8	problems	problem	NOUN
ajst-25807	127	9	transcends	transcend	VERB
ajst-25807	127	10	a	a	DET
ajst-25807	127	11	mere	mere	ADJ
ajst-25807	127	12	technical	technical	ADJ
ajst-25807	127	13	task	task	NOUN
ajst-25807	127	14	;	;	PUNCT
ajst-25807	127	15	it	it	PRON
ajst-25807	127	16	constitutes	constitute	VERB
ajst-25807	127	17	a	a	DET
ajst-25807	127	18	pivotal	pivotal	ADJ
ajst-25807	127	19	element	element	NOUN
ajst-25807	127	20	within	within	ADP
ajst-25807	127	21	the	the	DET
ajst-25807	127	22	realms	realm	NOUN
ajst-25807	127	23	of	of	ADP
ajst-25807	127	24	data	datum	NOUN
ajst-25807	127	25	governance	governance	NOUN
ajst-25807	127	26	and	and	CCONJ
ajst-25807	127	27	analytical	analytical	ADJ
ajst-25807	127	28	processes	process	NOUN
ajst-25807	127	29	,	,	PUNCT
ajst-25807	127	30	warranting	warrant	VERB
ajst-25807	127	31	ongoing	ongoing	ADJ
ajst-25807	127	32	attention	attention	NOUN
ajst-25807	127	33	and	and	CCONJ
ajst-25807	127	34	in	in	ADP
ajst-25807	127	35	-	-	PUNCT
ajst-25807	127	36	depth	depth	NOUN
ajst-25807	127	37	exploration	exploration	NOUN
ajst-25807	127	38	.	.	PUNCT
ajst-25807	128	1	4.3	4.3	NUM
ajst-25807	128	2	.	.	PUNCT
ajst-25807	128	3	data	datum	NOUN
ajst-25807	128	4	quality	quality	NOUN
ajst-25807	128	5	assessment	assessment	NOUN
ajst-25807	128	6	and	and	CCONJ
ajst-25807	128	7	improvement	improvement	NOUN
ajst-25807	128	8	data	datum	NOUN
ajst-25807	128	9	quality	quality	NOUN
ajst-25807	128	10	assessment	assessment	NOUN
ajst-25807	128	11	and	and	CCONJ
ajst-25807	128	12	improvement	improvement	NOUN
ajst-25807	128	13	are	be	AUX
ajst-25807	128	14	indispensable	indispensable	ADJ
ajst-25807	128	15	elements	element	NOUN
ajst-25807	128	16	in	in	ADP
ajst-25807	128	17	the	the	DET
ajst-25807	128	18	field	field	NOUN
ajst-25807	128	19	of	of	ADP
ajst-25807	128	20	data	datum	NOUN
ajst-25807	128	21	mining	mining	NOUN
ajst-25807	128	22	,	,	PUNCT
ajst-25807	128	23	directly	directly	ADV
ajst-25807	128	24	influencing	influence	VERB
ajst-25807	128	25	the	the	DET
ajst-25807	128	26	reliability	reliability	NOUN
ajst-25807	128	27	and	and	CCONJ
ajst-25807	128	28	scientific	scientific	ADJ
ajst-25807	128	29	validity	validity	NOUN
ajst-25807	128	30	of	of	ADP
ajst-25807	128	31	datadriven	datadriven	ADJ
ajst-25807	128	32	decision	decision	NOUN
ajst-25807	128	33	-	-	PUNCT
ajst-25807	128	34	making	making	NOUN
ajst-25807	128	35	.	.	PUNCT
ajst-25807	129	1	the	the	DET
ajst-25807	129	2	primary	primary	ADJ
ajst-25807	129	3	task	task	NOUN
ajst-25807	129	4	of	of	ADP
ajst-25807	129	5	data	datum	NOUN
ajst-25807	129	6	quality	quality	NOUN
ajst-25807	129	7	assessment	assessment	NOUN
ajst-25807	129	8	is	be	AUX
ajst-25807	129	9	to	to	PART
ajst-25807	129	10	determine	determine	VERB
ajst-25807	129	11	the	the	DET
ajst-25807	129	12	performance	performance	NOUN
ajst-25807	129	13	of	of	ADP
ajst-25807	129	14	data	datum	NOUN
ajst-25807	129	15	in	in	ADP
ajst-25807	129	16	terms	term	NOUN
ajst-25807	129	17	of	of	ADP
ajst-25807	129	18	accuracy	accuracy	NOUN
ajst-25807	129	19	,	,	PUNCT
ajst-25807	129	20	completeness	completeness	NOUN
ajst-25807	129	21	,	,	PUNCT
ajst-25807	129	22	consistency	consistency	NOUN
ajst-25807	129	23	,	,	PUNCT
ajst-25807	129	24	timeliness	timeliness	NOUN
ajst-25807	129	25	,	,	PUNCT
ajst-25807	129	26	and	and	CCONJ
ajst-25807	129	27	usability	usability	NOUN
ajst-25807	129	28	.	.	PUNCT
ajst-25807	130	1	through	through	ADP
ajst-25807	130	2	assessment	assessment	NOUN
ajst-25807	130	3	,	,	PUNCT
ajst-25807	130	4	one	one	PRON
ajst-25807	130	5	can	can	AUX
ajst-25807	130	6	systematically	systematically	ADV
ajst-25807	130	7	identify	identify	VERB
ajst-25807	130	8	deficiencies	deficiency	NOUN
ajst-25807	130	9	within	within	ADP
ajst-25807	130	10	the	the	DET
ajst-25807	130	11	data	datum	NOUN
ajst-25807	130	12	and	and	CCONJ
ajst-25807	130	13	provide	provide	VERB
ajst-25807	130	14	clear	clear	ADJ
ajst-25807	130	15	directions	direction	NOUN
ajst-25807	130	16	for	for	ADP
ajst-25807	130	17	its	its	PRON
ajst-25807	130	18	enhancement	enhancement	NOUN
ajst-25807	130	19	.	.	PUNCT
ajst-25807	131	1	the	the	DET
ajst-25807	131	2	process	process	NOUN
ajst-25807	131	3	of	of	ADP
ajst-25807	131	4	evaluating	evaluate	VERB
ajst-25807	131	5	data	datum	NOUN
ajst-25807	131	6	quality	quality	NOUN
ajst-25807	131	7	typically	typically	ADV
ajst-25807	131	8	relies	rely	VERB
ajst-25807	131	9	on	on	ADP
ajst-25807	131	10	a	a	DET
ajst-25807	131	11	multidimensional	multidimensional	ADJ
ajst-25807	131	12	metric	metric	ADJ
ajst-25807	131	13	system	system	NOUN
ajst-25807	131	14	.	.	PUNCT
ajst-25807	132	1	for	for	ADP
ajst-25807	132	2	instance	instance	NOUN
ajst-25807	132	3	,	,	PUNCT
ajst-25807	132	4	accuracy	accuracy	NOUN
ajst-25807	132	5	can	can	AUX
ajst-25807	132	6	be	be	AUX
ajst-25807	132	7	assessed	assess	VERB
ajst-25807	132	8	by	by	ADP
ajst-25807	132	9	comparing	compare	VERB
ajst-25807	132	10	data	datum	NOUN
ajst-25807	132	11	against	against	ADP
ajst-25807	132	12	known	know	VERB
ajst-25807	132	13	standards	standard	NOUN
ajst-25807	132	14	or	or	CCONJ
ajst-25807	132	15	external	external	ADJ
ajst-25807	132	16	trusted	trust	VERB
ajst-25807	132	17	data	data	NOUN
ajst-25807	132	18	sources	source	NOUN
ajst-25807	132	19	,	,	PUNCT
ajst-25807	132	20	while	while	SCONJ
ajst-25807	132	21	completeness	completeness	NOUN
ajst-25807	132	22	can	can	AUX
ajst-25807	132	23	be	be	AUX
ajst-25807	132	24	measured	measure	VERB
ajst-25807	132	25	by	by	ADP
ajst-25807	132	26	examining	examine	VERB
ajst-25807	132	27	the	the	DET
ajst-25807	132	28	extent	extent	NOUN
ajst-25807	132	29	of	of	ADP
ajst-25807	132	30	missing	miss	VERB
ajst-25807	132	31	attributes	attribute	NOUN
ajst-25807	132	32	within	within	ADP
ajst-25807	132	33	the	the	DET
ajst-25807	132	34	dataset	dataset	NOUN
ajst-25807	132	35	.	.	PUNCT
ajst-25807	133	1	consistency	consistency	NOUN
ajst-25807	133	2	issues	issue	NOUN
ajst-25807	133	3	primarily	primarily	ADV
ajst-25807	133	4	involve	involve	VERB
ajst-25807	133	5	the	the	DET
ajst-25807	133	6	validation	validation	NOUN
ajst-25807	133	7	of	of	ADP
ajst-25807	133	8	logical	logical	ADJ
ajst-25807	133	9	relationships	relationship	NOUN
ajst-25807	133	10	between	between	ADP
ajst-25807	133	11	data	datum	NOUN
ajst-25807	133	12	,	,	PUNCT
ajst-25807	133	13	particularly	particularly	ADV
ajst-25807	133	14	in	in	ADP
ajst-25807	133	15	the	the	DET
ajst-25807	133	16	context	context	NOUN
ajst-25807	133	17	of	of	ADP
ajst-25807	133	18	integrating	integrate	VERB
ajst-25807	133	19	multiple	multiple	ADJ
ajst-25807	133	20	data	datum	NOUN
ajst-25807	133	21	sources	source	NOUN
ajst-25807	133	22	,	,	PUNCT
ajst-25807	133	23	where	where	SCONJ
ajst-25807	133	24	ensuring	ensure	VERB
ajst-25807	133	25	matching	match	VERB
ajst-25807	133	26	across	across	ADP
ajst-25807	133	27	different	different	ADJ
ajst-25807	133	28	systems	system	NOUN
ajst-25807	133	29	or	or	CCONJ
ajst-25807	133	30	tables	table	NOUN
ajst-25807	133	31	is	be	AUX
ajst-25807	133	32	crucial	crucial	ADJ
ajst-25807	133	33	.	.	PUNCT
ajst-25807	134	1	additionally	additionally	ADV
ajst-25807	134	2	,	,	PUNCT
ajst-25807	134	3	timeliness	timeliness	NOUN
ajst-25807	134	4	and	and	CCONJ
ajst-25807	134	5	usability	usability	NOUN
ajst-25807	134	6	are	be	AUX
ajst-25807	134	7	significant	significant	ADJ
ajst-25807	134	8	dimensions	dimension	NOUN
ajst-25807	134	9	of	of	ADP
ajst-25807	134	10	assessment	assessment	NOUN
ajst-25807	134	11	,	,	PUNCT
ajst-25807	134	12	with	with	ADP
ajst-25807	134	13	the	the	DET
ajst-25807	134	14	former	former	ADJ
ajst-25807	134	15	reflecting	reflect	VERB
ajst-25807	134	16	the	the	DET
ajst-25807	134	17	frequency	frequency	NOUN
ajst-25807	134	18	of	of	ADP
ajst-25807	134	19	data	datum	NOUN
ajst-25807	134	20	updates	update	NOUN
ajst-25807	134	21	and	and	CCONJ
ajst-25807	134	22	validity	validity	NOUN
ajst-25807	134	23	periods	period	NOUN
ajst-25807	134	24	,	,	PUNCT
ajst-25807	134	25	and	and	CCONJ
ajst-25807	134	26	the	the	DET
ajst-25807	134	27	latter	latter	ADJ
ajst-25807	134	28	focusing	focus	VERB
ajst-25807	134	29	on	on	ADP
ajst-25807	134	30	whether	whether	SCONJ
ajst-25807	134	31	data	datum	NOUN
ajst-25807	134	32	can	can	AUX
ajst-25807	134	33	be	be	AUX
ajst-25807	134	34	efficiently	efficiently	ADV
ajst-25807	134	35	accessed	access	VERB
ajst-25807	134	36	and	and	CCONJ
ajst-25807	134	37	utilized	utilize	VERB
ajst-25807	134	38	by	by	ADP
ajst-25807	134	39	users	user	NOUN
ajst-25807	134	40	.	.	PUNCT
ajst-25807	135	1	following	follow	VERB
ajst-25807	135	2	the	the	DET
ajst-25807	135	3	data	datum	NOUN
ajst-25807	135	4	quality	quality	NOUN
ajst-25807	135	5	assessment	assessment	NOUN
ajst-25807	135	6	,	,	PUNCT
ajst-25807	135	7	addressing	address	VERB
ajst-25807	135	8	identified	identify	VERB
ajst-25807	135	9	issues	issue	NOUN
ajst-25807	135	10	through	through	ADP
ajst-25807	135	11	improvement	improvement	NOUN
ajst-25807	135	12	is	be	AUX
ajst-25807	135	13	an	an	DET
ajst-25807	135	14	essential	essential	ADJ
ajst-25807	135	15	step	step	NOUN
ajst-25807	135	16	.	.	PUNCT
ajst-25807	136	1	data	datum	NOUN
ajst-25807	136	2	cleansing	cleansing	NOUN
ajst-25807	136	3	serves	serve	VERB
ajst-25807	136	4	as	as	ADP
ajst-25807	136	5	a	a	DET
ajst-25807	136	6	fundamental	fundamental	ADJ
ajst-25807	136	7	approach	approach	NOUN
ajst-25807	136	8	to	to	ADP
ajst-25807	136	9	enhancing	enhance	VERB
ajst-25807	136	10	data	datum	NOUN
ajst-25807	136	11	quality	quality	NOUN
ajst-25807	136	12	,	,	PUNCT
ajst-25807	136	13	involving	involve	VERB
ajst-25807	136	14	the	the	DET
ajst-25807	136	15	application	application	NOUN
ajst-25807	136	16	of	of	ADP
ajst-25807	136	17	appropriate	appropriate	ADJ
ajst-25807	136	18	strategies	strategy	NOUN
ajst-25807	136	19	to	to	PART
ajst-25807	136	20	address	address	VERB
ajst-25807	136	21	issues	issue	NOUN
ajst-25807	136	22	such	such	ADJ
ajst-25807	136	23	as	as	ADP
ajst-25807	136	24	missing	miss	VERB
ajst-25807	136	25	values	value	NOUN
ajst-25807	136	26	,	,	PUNCT
ajst-25807	136	27	noise	noise	NOUN
ajst-25807	136	28	,	,	PUNCT
ajst-25807	136	29	and	and	CCONJ
ajst-25807	136	30	duplicate	duplicate	ADJ
ajst-25807	136	31	data	datum	NOUN
ajst-25807	136	32	[	[	X
ajst-25807	136	33	9	9	NUM
ajst-25807	136	34	]	]	PUNCT
ajst-25807	136	35	.	.	PUNCT
ajst-25807	137	1	during	during	ADP
ajst-25807	137	2	this	this	DET
ajst-25807	137	3	process	process	NOUN
ajst-25807	137	4	,	,	PUNCT
ajst-25807	137	5	improvement	improvement	NOUN
ajst-25807	137	6	measures	measure	NOUN
ajst-25807	137	7	should	should	AUX
ajst-25807	137	8	not	not	PART
ajst-25807	137	9	only	only	ADV
ajst-25807	137	10	consider	consider	VERB
ajst-25807	137	11	the	the	DET
ajst-25807	137	12	characteristics	characteristic	NOUN
ajst-25807	137	13	of	of	ADP
ajst-25807	137	14	the	the	DET
ajst-25807	137	15	data	datum	NOUN
ajst-25807	137	16	itself	itself	PRON
ajst-25807	137	17	but	but	CCONJ
ajst-25807	137	18	also	also	ADV
ajst-25807	137	19	account	account	VERB
ajst-25807	137	20	for	for	ADP
ajst-25807	137	21	business	business	NOUN
ajst-25807	137	22	needs	need	NOUN
ajst-25807	137	23	to	to	PART
ajst-25807	137	24	prevent	prevent	VERB
ajst-25807	137	25	the	the	DET
ajst-25807	137	26	loss	loss	NOUN
ajst-25807	137	27	of	of	ADP
ajst-25807	137	28	critical	critical	ADJ
ajst-25807	137	29	information	information	NOUN
ajst-25807	137	30	during	during	ADP
ajst-25807	137	31	cleansing	cleansing	NOUN
ajst-25807	137	32	.	.	PUNCT
ajst-25807	138	1	data	datum	NOUN
ajst-25807	138	2	quality	quality	NOUN
ajst-25807	138	3	improvement	improvement	NOUN
ajst-25807	138	4	is	be	AUX
ajst-25807	138	5	not	not	PART
ajst-25807	138	6	a	a	DET
ajst-25807	138	7	one	one	NUM
ajst-25807	138	8	-	-	PUNCT
ajst-25807	138	9	time	time	NOUN
ajst-25807	138	10	task	task	NOUN
ajst-25807	138	11	but	but	CCONJ
ajst-25807	138	12	a	a	DET
ajst-25807	138	13	dynamic	dynamic	ADJ
ajst-25807	138	14	process	process	NOUN
ajst-25807	138	15	requiring	require	VERB
ajst-25807	138	16	ongoing	ongoing	ADJ
ajst-25807	138	17	monitoring	monitoring	NOUN
ajst-25807	138	18	and	and	CCONJ
ajst-25807	138	19	optimization	optimization	NOUN
ajst-25807	138	20	.	.	PUNCT
ajst-25807	139	1	as	as	SCONJ
ajst-25807	139	2	data	data	NOUN
ajst-25807	139	3	application	application	NOUN
ajst-25807	139	4	evolves	evolve	VERB
ajst-25807	139	5	through	through	ADP
ajst-25807	139	6	different	different	ADJ
ajst-25807	139	7	stages	stage	NOUN
ajst-25807	139	8	,	,	PUNCT
ajst-25807	139	9	quality	quality	NOUN
ajst-25807	139	10	requirements	requirement	NOUN
ajst-25807	139	11	may	may	AUX
ajst-25807	139	12	change	change	VERB
ajst-25807	139	13	,	,	PUNCT
ajst-25807	139	14	necessitating	necessitate	VERB
ajst-25807	139	15	regular	regular	ADJ
ajst-25807	139	16	reassessment	reassessment	NOUN
ajst-25807	139	17	and	and	CCONJ
ajst-25807	139	18	adjustment	adjustment	NOUN
ajst-25807	139	19	of	of	ADP
ajst-25807	139	20	improvement	improvement	NOUN
ajst-25807	139	21	strategies	strategy	NOUN
ajst-25807	139	22	.	.	PUNCT
ajst-25807	140	1	furthermore	furthermore	ADV
ajst-25807	140	2	,	,	PUNCT
ajst-25807	140	3	leveraging	leverage	VERB
ajst-25807	140	4	automation	automation	NOUN
ajst-25807	140	5	tools	tool	NOUN
ajst-25807	140	6	and	and	CCONJ
ajst-25807	140	7	machine	machine	NOUN
ajst-25807	140	8	learning	learn	VERB
ajst-25807	140	9	algorithms	algorithm	NOUN
ajst-25807	140	10	can	can	AUX
ajst-25807	140	11	further	far	ADV
ajst-25807	140	12	enhance	enhance	VERB
ajst-25807	140	13	the	the	DET
ajst-25807	140	14	efficiency	efficiency	NOUN
ajst-25807	140	15	and	and	CCONJ
ajst-25807	140	16	precision	precision	NOUN
ajst-25807	140	17	of	of	ADP
ajst-25807	140	18	data	datum	NOUN
ajst-25807	140	19	quality	quality	NOUN
ajst-25807	140	20	improvement	improvement	NOUN
ajst-25807	140	21	.	.	PUNCT
ajst-25807	141	1	for	for	ADP
ajst-25807	141	2	example	example	NOUN
ajst-25807	141	3	,	,	PUNCT
ajst-25807	141	4	machine	machine	NOUN
ajst-25807	141	5	learning	learning	NOUN
ajst-25807	141	6	models	model	NOUN
ajst-25807	141	7	can	can	AUX
ajst-25807	141	8	predict	predict	VERB
ajst-25807	141	9	potential	potential	ADJ
ajst-25807	141	10	issues	issue	NOUN
ajst-25807	141	11	within	within	ADP
ajst-25807	141	12	the	the	DET
ajst-25807	141	13	data	datum	NOUN
ajst-25807	141	14	and	and	CCONJ
ajst-25807	141	15	automatically	automatically	ADV
ajst-25807	141	16	generate	generate	VERB
ajst-25807	141	17	repair	repair	NOUN
ajst-25807	141	18	suggestions	suggestion	NOUN
ajst-25807	141	19	,	,	PUNCT
ajst-25807	141	20	which	which	PRON
ajst-25807	141	21	is	be	AUX
ajst-25807	141	22	especially	especially	ADV
ajst-25807	141	23	valuable	valuable	ADJ
ajst-25807	141	24	in	in	ADP
ajst-25807	141	25	large	large	ADJ
ajst-25807	141	26	-	-	PUNCT
ajst-25807	141	27	scale	scale	NOUN
ajst-25807	141	28	data	datum	NOUN
ajst-25807	141	29	processing	processing	NOUN
ajst-25807	141	30	scenarios	scenario	NOUN
ajst-25807	141	31	.	.	PUNCT
ajst-25807	142	1	in	in	ADP
ajst-25807	142	2	summary	summary	NOUN
ajst-25807	142	3	,	,	PUNCT
ajst-25807	142	4	data	datum	NOUN
ajst-25807	142	5	quality	quality	NOUN
ajst-25807	142	6	assessment	assessment	NOUN
ajst-25807	142	7	and	and	CCONJ
ajst-25807	142	8	improvement	improvement	NOUN
ajst-25807	142	9	are	be	AUX
ajst-25807	142	10	not	not	PART
ajst-25807	142	11	only	only	ADV
ajst-25807	142	12	processes	process	NOUN
ajst-25807	142	13	for	for	ADP
ajst-25807	142	14	enhancing	enhance	VERB
ajst-25807	142	15	the	the	DET
ajst-25807	142	16	value	value	NOUN
ajst-25807	142	17	of	of	ADP
ajst-25807	142	18	data	datum	NOUN
ajst-25807	142	19	usage	usage	NOUN
ajst-25807	142	20	but	but	CCONJ
ajst-25807	142	21	also	also	ADV
ajst-25807	142	22	crucial	crucial	ADJ
ajst-25807	142	23	for	for	ADP
ajst-25807	142	24	ensuring	ensure	VERB
ajst-25807	142	25	the	the	DET
ajst-25807	142	26	reliability	reliability	NOUN
ajst-25807	142	27	of	of	ADP
ajst-25807	142	28	data	data	NOUN
ajst-25807	142	29	-	-	PUNCT
ajst-25807	142	30	driven	drive	VERB
ajst-25807	142	31	decisions	decision	NOUN
ajst-25807	142	32	.	.	PUNCT
ajst-25807	143	1	only	only	ADV
ajst-25807	143	2	with	with	ADP
ajst-25807	143	3	high	high	ADJ
ajst-25807	143	4	-	-	PUNCT
ajst-25807	143	5	quality	quality	NOUN
ajst-25807	143	6	data	datum	NOUN
ajst-25807	143	7	can	can	AUX
ajst-25807	143	8	data	data	VERB
ajst-25807	143	9	mining	mining	NOUN
ajst-25807	143	10	truly	truly	ADV
ajst-25807	143	11	realize	realize	VERB
ajst-25807	143	12	its	its	PRON
ajst-25807	143	13	potential	potential	NOUN
ajst-25807	143	14	,	,	PUNCT
ajst-25807	143	15	providing	provide	VERB
ajst-25807	143	16	accurate	accurate	ADJ
ajst-25807	143	17	and	and	CCONJ
ajst-25807	143	18	reliable	reliable	ADJ
ajst-25807	143	19	analytical	analytical	ADJ
ajst-25807	143	20	support	support	NOUN
ajst-25807	143	21	for	for	ADP
ajst-25807	143	22	various	various	ADJ
ajst-25807	143	23	application	application	NOUN
ajst-25807	143	24	scenarios	scenario	NOUN
ajst-25807	143	25	[	[	X
ajst-25807	143	26	10	10	NUM
ajst-25807	143	27	]	]	PUNCT
ajst-25807	143	28	.	.	PUNCT
ajst-25807	144	1	5	5	X
ajst-25807	144	2	.	.	X
ajst-25807	144	3	conclusion	conclusion	NOUN
ajst-25807	144	4	data	datum	NOUN
ajst-25807	144	5	quality	quality	NOUN
ajst-25807	144	6	is	be	AUX
ajst-25807	144	7	the	the	DET
ajst-25807	144	8	cornerstone	cornerstone	NOUN
ajst-25807	144	9	of	of	ADP
ajst-25807	144	10	data	data	NOUN
ajst-25807	144	11	-	-	PUNCT
ajst-25807	144	12	driven	drive	VERB
ajst-25807	144	13	decisionmaking	decisionmaking	NOUN
ajst-25807	144	14	,	,	PUNCT
ajst-25807	144	15	and	and	CCONJ
ajst-25807	144	16	the	the	DET
ajst-25807	144	17	advent	advent	NOUN
ajst-25807	144	18	of	of	ADP
ajst-25807	144	19	data	data	NOUN
ajst-25807	144	20	mining	mining	NOUN
ajst-25807	144	21	technologies	technology	NOUN
ajst-25807	144	22	has	have	AUX
ajst-25807	144	23	ushered	usher	VERB
ajst-25807	144	24	in	in	ADP
ajst-25807	144	25	a	a	DET
ajst-25807	144	26	revolutionary	revolutionary	ADJ
ajst-25807	144	27	transformation	transformation	NOUN
ajst-25807	144	28	in	in	ADP
ajst-25807	144	29	the	the	DET
ajst-25807	144	30	analysis	analysis	NOUN
ajst-25807	144	31	of	of	ADP
ajst-25807	144	32	data	datum	NOUN
ajst-25807	144	33	quality	quality	NOUN
ajst-25807	144	34	.	.	PUNCT
ajst-25807	145	1	the	the	DET
ajst-25807	145	2	application	application	NOUN
ajst-25807	145	3	of	of	ADP
ajst-25807	145	4	data	datum	NOUN
ajst-25807	145	5	mining	mining	NOUN
ajst-25807	145	6	techniques	technique	NOUN
ajst-25807	145	7	allows	allow	VERB
ajst-25807	145	8	for	for	ADP
ajst-25807	145	9	the	the	DET
ajst-25807	145	10	more	more	ADV
ajst-25807	145	11	efficient	efficient	ADJ
ajst-25807	145	12	detection	detection	NOUN
ajst-25807	145	13	,	,	PUNCT
ajst-25807	145	14	evaluation	evaluation	NOUN
ajst-25807	145	15	,	,	PUNCT
ajst-25807	145	16	and	and	CCONJ
ajst-25807	145	17	enhancement	enhancement	NOUN
ajst-25807	145	18	of	of	ADP
ajst-25807	145	19	data	datum	NOUN
ajst-25807	145	20	quality	quality	NOUN
ajst-25807	145	21	issues	issue	NOUN
ajst-25807	145	22	,	,	PUNCT
ajst-25807	145	23	providing	provide	VERB
ajst-25807	145	24	robust	robust	ADJ
ajst-25807	145	25	support	support	NOUN
ajst-25807	145	26	for	for	ADP
ajst-25807	145	27	precise	precise	ADJ
ajst-25807	145	28	decision	decision	NOUN
ajst-25807	145	29	-	-	PUNCT
ajst-25807	145	30	making	making	NOUN
ajst-25807	145	31	across	across	ADP
ajst-25807	145	32	various	various	ADJ
ajst-25807	145	33	industries	industry	NOUN
ajst-25807	145	34	within	within	ADP
ajst-25807	145	35	the	the	DET
ajst-25807	145	36	realm	realm	NOUN
ajst-25807	145	37	of	of	ADP
ajst-25807	145	38	big	big	ADJ
ajst-25807	145	39	data	datum	NOUN
ajst-25807	145	40	.	.	PUNCT
ajst-25807	146	1	nevertheless	nevertheless	ADV
ajst-25807	146	2	,	,	PUNCT
ajst-25807	146	3	challenges	challenge	NOUN
ajst-25807	146	4	in	in	ADP
ajst-25807	146	5	data	datum	NOUN
ajst-25807	146	6	quality	quality	NOUN
ajst-25807	146	7	management	management	NOUN
ajst-25807	146	8	persist	persist	NOUN
ajst-25807	146	9	,	,	PUNCT
ajst-25807	146	10	such	such	ADJ
ajst-25807	146	11	as	as	ADP
ajst-25807	146	12	issues	issue	NOUN
ajst-25807	146	13	arising	arise	VERB
ajst-25807	146	14	from	from	ADP
ajst-25807	146	15	dynamic	dynamic	ADJ
ajst-25807	146	16	data	datum	NOUN
ajst-25807	146	17	environments	environment	NOUN
ajst-25807	146	18	and	and	CCONJ
ajst-25807	146	19	considerations	consideration	NOUN
ajst-25807	146	20	of	of	ADP
ajst-25807	146	21	data	datum	NOUN
ajst-25807	146	22	privacy	privacy	NOUN
ajst-25807	146	23	and	and	CCONJ
ajst-25807	146	24	security	security	NOUN
ajst-25807	146	25	,	,	PUNCT
ajst-25807	146	26	which	which	PRON
ajst-25807	146	27	warrant	warrant	VERB
ajst-25807	146	28	further	further	ADJ
ajst-25807	146	29	research	research	NOUN
ajst-25807	146	30	and	and	CCONJ
ajst-25807	146	31	exploration	exploration	NOUN
ajst-25807	146	32	.	.	PUNCT
ajst-25807	147	1	in	in	ADP
ajst-25807	147	2	the	the	DET
ajst-25807	147	3	future	future	NOUN
ajst-25807	147	4	,	,	PUNCT
ajst-25807	147	5	with	with	ADP
ajst-25807	147	6	the	the	DET
ajst-25807	147	7	continuous	continuous	ADJ
ajst-25807	147	8	advancement	advancement	NOUN
ajst-25807	147	9	of	of	ADP
ajst-25807	147	10	artificial	artificial	ADJ
ajst-25807	147	11	intelligence	intelligence	NOUN
ajst-25807	147	12	and	and	CCONJ
ajst-25807	147	13	big	big	ADJ
ajst-25807	147	14	data	datum	NOUN
ajst-25807	147	15	technologies	technology	NOUN
ajst-25807	147	16	,	,	PUNCT
ajst-25807	147	17	data	datum	NOUN
ajst-25807	147	18	mining	mining	NOUN
ajst-25807	147	19	techniques	technique	NOUN
ajst-25807	147	20	will	will	AUX
ajst-25807	147	21	play	play	VERB
ajst-25807	147	22	an	an	DET
ajst-25807	147	23	increasingly	increasingly	ADV
ajst-25807	147	24	pivotal	pivotal	ADJ
ajst-25807	147	25	role	role	NOUN
ajst-25807	147	26	in	in	ADP
ajst-25807	147	27	data	datum	NOUN
ajst-25807	147	28	quality	quality	NOUN
ajst-25807	147	29	management	management	NOUN
ajst-25807	147	30	,	,	PUNCT
ajst-25807	147	31	offering	offer	VERB
ajst-25807	147	32	more	more	ADV
ajst-25807	147	33	intelligent	intelligent	ADJ
ajst-25807	147	34	and	and	CCONJ
ajst-25807	147	35	automated	automate	VERB
ajst-25807	147	36	solutions	solution	NOUN
ajst-25807	147	37	for	for	ADP
ajst-25807	147	38	achieving	achieve	VERB
ajst-25807	147	39	highquality	highquality	NOUN
ajst-25807	147	40	data	datum	NOUN
ajst-25807	147	41	management	management	NOUN
ajst-25807	147	42	.	.	PUNCT
ajst-25807	148	1	references	reference	NOUN
ajst-25807	148	2	[	[	X
ajst-25807	148	3	1	1	NUM
ajst-25807	148	4	]	]	PUNCT
ajst-25807	148	5	luebbers	luebber	NOUN
ajst-25807	148	6	d	d	PROPN
ajst-25807	148	7	,	,	PUNCT
ajst-25807	148	8	grimmer	grimmer	PROPN
ajst-25807	148	9	u	u	NOUN
ajst-25807	148	10	,	,	PUNCT
ajst-25807	148	11	jarke	jarke	PROPN
ajst-25807	148	12	m.	m.	PROPN
ajst-25807	148	13	systematic	systematic	PROPN
ajst-25807	148	14	development	development	NOUN
ajst-25807	148	15	of	of	ADP
ajst-25807	148	16	data	datum	NOUN
ajst-25807	148	17	mining	mining	NOUN
ajst-25807	148	18	-	-	PUNCT
ajst-25807	148	19	based	base	VERB
ajst-25807	148	20	data	datum	NOUN
ajst-25807	148	21	quality	quality	NOUN
ajst-25807	148	22	tools[c]//proceedings	tools[c]//proceeding	NOUN
ajst-25807	148	23	2003	2003	NUM
ajst-25807	148	24	vldb	vldb	NOUN
ajst-25807	148	25	conference	conference	NOUN
ajst-25807	148	26	.	.	PUNCT
ajst-25807	149	1	morgan	morgan	PROPN
ajst-25807	149	2	kaufmann	kaufmann	PROPN
ajst-25807	149	3	,	,	PUNCT
ajst-25807	149	4	2003	2003	NUM
ajst-25807	149	5	:	:	PUNCT
ajst-25807	149	6	548	548	NUM
ajst-25807	149	7	-	-	SYM
ajst-25807	149	8	559	559	NUM
ajst-25807	149	9	.	.	PUNCT
ajst-25807	150	1	[	[	X
ajst-25807	150	2	2	2	NUM
ajst-25807	150	3	]	]	X
ajst-25807	150	4	deng	deng	PROPN
ajst-25807	150	5	w	w	PROPN
ajst-25807	150	6	,	,	PUNCT
ajst-25807	150	7	wang	wang	PROPN
ajst-25807	150	8	g.	g.	PROPN
ajst-25807	150	9	a	a	DET
ajst-25807	150	10	novel	novel	ADJ
ajst-25807	150	11	water	water	NOUN
ajst-25807	150	12	quality	quality	NOUN
ajst-25807	150	13	data	datum	NOUN
ajst-25807	150	14	analysis	analysis	NOUN
ajst-25807	150	15	framework	framework	NOUN
ajst-25807	150	16	based	base	VERB
ajst-25807	150	17	on	on	ADP
ajst-25807	150	18	time	time	NOUN
ajst-25807	150	19	-	-	PUNCT
ajst-25807	150	20	series	series	NOUN
ajst-25807	150	21	data	data	PROPN
ajst-25807	150	22	mining[j	mining[j	PROPN
ajst-25807	150	23	]	]	PUNCT
ajst-25807	150	24	.	.	PUNCT
ajst-25807	151	1	journal	journal	PROPN
ajst-25807	151	2	of	of	ADP
ajst-25807	151	3	environmental	environmental	ADJ
ajst-25807	151	4	management	management	NOUN
ajst-25807	151	5	,	,	PUNCT
ajst-25807	151	6	2017	2017	NUM
ajst-25807	151	7	,	,	PUNCT
ajst-25807	151	8	196	196	NUM
ajst-25807	151	9	:	:	SYM
ajst-25807	151	10	365	365	NUM
ajst-25807	151	11	-	-	SYM
ajst-25807	151	12	375	375	NUM
ajst-25807	151	13	.	.	PUNCT
ajst-25807	152	1	[	[	X
ajst-25807	152	2	3	3	X
ajst-25807	152	3	]	]	PUNCT
ajst-25807	152	4	nie	nie	PROPN
ajst-25807	152	5	g	g	PROPN
ajst-25807	152	6	,	,	PUNCT
ajst-25807	152	7	zhang	zhang	PROPN
ajst-25807	152	8	l	l	PROPN
ajst-25807	152	9	,	,	PUNCT
ajst-25807	152	10	liu	liu	PROPN
ajst-25807	152	11	y	y	PROPN
ajst-25807	152	12	,	,	PUNCT
ajst-25807	152	13	et	et	PROPN
ajst-25807	152	14	al	al	PROPN
ajst-25807	152	15	.	.	PUNCT
ajst-25807	152	16	decision	decision	NOUN
ajst-25807	152	17	analysis	analysis	NOUN
ajst-25807	152	18	of	of	ADP
ajst-25807	152	19	data	data	NOUN
ajst-25807	152	20	mining	mining	NOUN
ajst-25807	152	21	project	project	NOUN
ajst-25807	152	22	based	base	VERB
ajst-25807	152	23	on	on	ADP
ajst-25807	152	24	bayesian	bayesian	NOUN
ajst-25807	152	25	risk[j	risk[j	NOUN
ajst-25807	152	26	]	]	PUNCT
ajst-25807	152	27	.	.	PUNCT
ajst-25807	153	1	expert	expert	NOUN
ajst-25807	153	2	systems	system	NOUN
ajst-25807	153	3	with	with	ADP
ajst-25807	153	4	applications	application	NOUN
ajst-25807	153	5	,	,	PUNCT
ajst-25807	153	6	2009	2009	NUM
ajst-25807	153	7	,	,	PUNCT
ajst-25807	153	8	36(3	36(3	NUM
ajst-25807	153	9	):	):	PUNCT
ajst-25807	153	10	4589	4589	NUM
ajst-25807	153	11	-	-	SYM
ajst-25807	153	12	4594	4594	NUM
ajst-25807	153	13	.	.	PUNCT
ajst-25807	154	1	[	[	X
ajst-25807	154	2	4	4	X
ajst-25807	154	3	]	]	PUNCT
ajst-25807	154	4	haghverdi	haghverdi	PROPN
ajst-25807	154	5	a	a	X
ajst-25807	154	6	,	,	PUNCT
ajst-25807	154	7	öztürk	öztürk	NOUN
ajst-25807	154	8	h	h	NOUN
ajst-25807	154	9	s	s	PROPN
ajst-25807	154	10	,	,	PUNCT
ajst-25807	154	11	cornelis	cornelis	PROPN
ajst-25807	154	12	w	w	PROPN
ajst-25807	154	13	m.	m.	PROPN
ajst-25807	154	14	revisiting	revisit	VERB
ajst-25807	154	15	the	the	DET
ajst-25807	154	16	pseudo	pseudo	NOUN
ajst-25807	154	17	continuous	continuous	ADJ
ajst-25807	154	18	pedotransfer	pedotransfer	NOUN
ajst-25807	154	19	function	function	NOUN
ajst-25807	154	20	concept	concept	NOUN
ajst-25807	154	21	:	:	PUNCT
ajst-25807	154	22	impact	impact	NOUN
ajst-25807	154	23	of	of	ADP
ajst-25807	154	24	data	datum	NOUN
ajst-25807	154	25	quality	quality	NOUN
ajst-25807	154	26	and	and	CCONJ
ajst-25807	154	27	data	datum	NOUN
ajst-25807	154	28	mining	mining	NOUN
ajst-25807	154	29	method[j	method[j	PROPN
ajst-25807	154	30	]	]	PUNCT
ajst-25807	154	31	.	.	PUNCT
ajst-25807	155	1	geoderma	geoderma	PROPN
ajst-25807	155	2	,	,	PUNCT
ajst-25807	155	3	2014	2014	NUM
ajst-25807	155	4	,	,	PUNCT
ajst-25807	155	5	226	226	NUM
ajst-25807	155	6	:	:	SYM
ajst-25807	155	7	3138	3138	NUM
ajst-25807	155	8	.	.	PUNCT
ajst-25807	156	1	[	[	X
ajst-25807	156	2	5	5	NUM
ajst-25807	156	3	]	]	X
ajst-25807	156	4	sheng	sheng	NOUN
ajst-25807	156	5	v	v	ADP
ajst-25807	156	6	s	s	PROPN
ajst-25807	156	7	,	,	PUNCT
ajst-25807	156	8	provost	provost	NOUN
ajst-25807	156	9	f	f	NOUN
ajst-25807	156	10	,	,	PUNCT
ajst-25807	156	11	ipeirotis	ipeirotis	PROPN
ajst-25807	156	12	p	p	PROPN
ajst-25807	156	13	g.	g.	NOUN
ajst-25807	156	14	get	get	VERB
ajst-25807	156	15	another	another	DET
ajst-25807	156	16	label	label	NOUN
ajst-25807	156	17	?	?	PUNCT
ajst-25807	157	1	improving	improve	VERB
ajst-25807	157	2	data	datum	NOUN
ajst-25807	157	3	quality	quality	NOUN
ajst-25807	157	4	and	and	CCONJ
ajst-25807	157	5	data	datum	NOUN
ajst-25807	157	6	mining	mining	NOUN
ajst-25807	157	7	using	use	VERB
ajst-25807	157	8	multiple	multiple	ADJ
ajst-25807	157	9	,	,	PUNCT
ajst-25807	157	10	noisy	noisy	ADJ
ajst-25807	157	11	labelers[c]//proceedings	labelers[c]//proceeding	NOUN
ajst-25807	157	12	of	of	ADP
ajst-25807	157	13	the	the	DET
ajst-25807	157	14	14th	14th	ADJ
ajst-25807	157	15	acm	acm	PROPN
ajst-25807	157	16	sigkdd	sigkdd	NOUN
ajst-25807	157	17	international	international	ADJ
ajst-25807	157	18	conference	conference	NOUN
ajst-25807	157	19	on	on	ADP
ajst-25807	157	20	knowledge	knowledge	NOUN
ajst-25807	157	21	discovery	discovery	PROPN
ajst-25807	157	22	and	and	CCONJ
ajst-25807	157	23	data	datum	NOUN
ajst-25807	157	24	mining	mining	NOUN
ajst-25807	157	25	.	.	PUNCT
ajst-25807	158	1	2008	2008	NUM
ajst-25807	158	2	:	:	PUNCT
ajst-25807	159	1	614	614	NUM
ajst-25807	159	2	-	-	SYM
ajst-25807	159	3	622	622	NUM
ajst-25807	159	4	.	.	PUNCT
ajst-25807	160	1	[	[	X
ajst-25807	160	2	6	6	NUM
ajst-25807	160	3	]	]	X
ajst-25807	160	4	batini	batini	PROPN
ajst-25807	160	5	c	c	PROPN
ajst-25807	160	6	,	,	PUNCT
ajst-25807	160	7	cappiello	cappiello	PROPN
ajst-25807	160	8	c	c	PROPN
ajst-25807	160	9	,	,	PUNCT
ajst-25807	160	10	francalanci	francalanci	PROPN
ajst-25807	160	11	c	c	NOUN
ajst-25807	160	12	,	,	PUNCT
ajst-25807	160	13	et	et	PROPN
ajst-25807	160	14	al	al	PROPN
ajst-25807	160	15	.	.	PROPN
ajst-25807	160	16	methodologies	methodology	NOUN
ajst-25807	160	17	for	for	ADP
ajst-25807	160	18	data	datum	NOUN
ajst-25807	160	19	quality	quality	NOUN
ajst-25807	160	20	assessment	assessment	NOUN
ajst-25807	160	21	and	and	CCONJ
ajst-25807	160	22	improvement[j	improvement[j	NOUN
ajst-25807	160	23	]	]	PUNCT
ajst-25807	160	24	.	.	PUNCT
ajst-25807	161	1	acm	acm	PROPN
ajst-25807	161	2	computing	computing	NOUN
ajst-25807	161	3	surveys	survey	NOUN
ajst-25807	161	4	(	(	PUNCT
ajst-25807	161	5	csur	csur	NOUN
ajst-25807	161	6	)	)	PUNCT
ajst-25807	161	7	,	,	PUNCT
ajst-25807	161	8	2009	2009	NUM
ajst-25807	161	9	,	,	PUNCT
ajst-25807	161	10	41(3	41(3	NUM
ajst-25807	161	11	):	):	PUNCT
ajst-25807	161	12	1	1	NUM
ajst-25807	161	13	-	-	SYM
ajst-25807	161	14	52	52	NUM
ajst-25807	161	15	.	.	PUNCT
ajst-25807	162	1	[	[	X
ajst-25807	162	2	7	7	X
ajst-25807	162	3	]	]	X
ajst-25807	162	4	peña	peña	PROPN
ajst-25807	162	5	-	-	PUNCT
ajst-25807	162	6	ayala	ayala	PROPN
ajst-25807	162	7	a.	a.	PROPN
ajst-25807	162	8	educational	educational	PROPN
ajst-25807	162	9	data	data	PROPN
ajst-25807	162	10	mining	mining	NOUN
ajst-25807	162	11	:	:	PUNCT
ajst-25807	162	12	a	a	DET
ajst-25807	162	13	survey	survey	NOUN
ajst-25807	162	14	and	and	CCONJ
ajst-25807	162	15	a	a	DET
ajst-25807	162	16	data	data	NOUN
ajst-25807	162	17	mining	mining	NOUN
ajst-25807	162	18	-	-	PUNCT
ajst-25807	162	19	based	base	VERB
ajst-25807	162	20	analysis	analysis	NOUN
ajst-25807	162	21	of	of	ADP
ajst-25807	162	22	recent	recent	ADJ
ajst-25807	162	23	works[j	works[j	NOUN
ajst-25807	162	24	]	]	PUNCT
ajst-25807	162	25	.	.	PUNCT
ajst-25807	163	1	expert	expert	NOUN
ajst-25807	163	2	systems	system	NOUN
ajst-25807	163	3	with	with	ADP
ajst-25807	163	4	applications	application	NOUN
ajst-25807	163	5	,	,	PUNCT
ajst-25807	163	6	2014	2014	NUM
ajst-25807	163	7	,	,	PUNCT
ajst-25807	163	8	41(4	41(4	NUM
ajst-25807	163	9	):	):	PUNCT
ajst-25807	163	10	1432	1432	NUM
ajst-25807	163	11	-	-	SYM
ajst-25807	163	12	1462	1462	NUM
ajst-25807	163	13	.	.	PUNCT
ajst-25807	164	1	[	[	X
ajst-25807	164	2	8	8	NUM
ajst-25807	164	3	]	]	X
ajst-25807	164	4	jeihouni	jeihouni	PROPN
ajst-25807	164	5	m	m	PROPN
ajst-25807	164	6	,	,	PUNCT
ajst-25807	164	7	toomanian	toomanian	PROPN
ajst-25807	164	8	a	a	PRON
ajst-25807	164	9	,	,	PUNCT
ajst-25807	164	10	mansourian	mansourian	ADJ
ajst-25807	164	11	a.	a.	NOUN
ajst-25807	164	12	decision	decision	NOUN
ajst-25807	164	13	tree	tree	NOUN
ajst-25807	164	14	-	-	PUNCT
ajst-25807	164	15	based	base	VERB
ajst-25807	164	16	data	datum	NOUN
ajst-25807	164	17	mining	mining	NOUN
ajst-25807	164	18	and	and	CCONJ
ajst-25807	164	19	rule	rule	NOUN
ajst-25807	164	20	induction	induction	NOUN
ajst-25807	164	21	for	for	ADP
ajst-25807	164	22	identifying	identify	VERB
ajst-25807	164	23	high	high	ADJ
ajst-25807	164	24	quality	quality	NOUN
ajst-25807	164	25	groundwater	groundwater	NOUN
ajst-25807	164	26	zones	zone	NOUN
ajst-25807	164	27	to	to	PART
ajst-25807	164	28	water	water	NOUN
ajst-25807	164	29	supply	supply	NOUN
ajst-25807	164	30	management	management	NOUN
ajst-25807	164	31	:	:	PUNCT
ajst-25807	164	32	a	a	DET
ajst-25807	164	33	novel	novel	ADJ
ajst-25807	164	34	hybrid	hybrid	NOUN
ajst-25807	164	35	use	use	NOUN
ajst-25807	164	36	of	of	ADP
ajst-25807	164	37	data	datum	NOUN
ajst-25807	164	38	mining	mining	NOUN
ajst-25807	164	39	and	and	CCONJ
ajst-25807	164	40	gis[j	gis[j	PROPN
ajst-25807	164	41	]	]	PUNCT
ajst-25807	164	42	.	.	PUNCT
ajst-25807	165	1	water	water	NOUN
ajst-25807	165	2	resources	resource	NOUN
ajst-25807	165	3	management	management	NOUN
ajst-25807	165	4	,	,	PUNCT
ajst-25807	165	5	2020	2020	NUM
ajst-25807	165	6	,	,	PUNCT
ajst-25807	165	7	34	34	NUM
ajst-25807	165	8	:	:	SYM
ajst-25807	165	9	139	139	NUM
ajst-25807	165	10	-	-	SYM
ajst-25807	165	11	154	154	NUM
ajst-25807	165	12	.	.	PUNCT
ajst-25807	166	1	[	[	X
ajst-25807	166	2	9	9	NUM
ajst-25807	166	3	]	]	PUNCT
ajst-25807	166	4	derosa	derosa	PROPN
ajst-25807	166	5	m.	m.	PROPN
ajst-25807	166	6	data	data	PROPN
ajst-25807	166	7	mining	mining	NOUN
ajst-25807	166	8	and	and	CCONJ
ajst-25807	166	9	data	datum	NOUN
ajst-25807	166	10	analysis	analysis	NOUN
ajst-25807	166	11	for	for	ADP
ajst-25807	166	12	counterterrorism[m	counterterrorism[m	NOUN
ajst-25807	166	13	]	]	PUNCT
ajst-25807	166	14	.	.	PUNCT
ajst-25807	167	1	washington	washington	PROPN
ajst-25807	167	2	,	,	PUNCT
ajst-25807	167	3	dc	dc	PROPN
ajst-25807	167	4	:	:	PUNCT
ajst-25807	167	5	csis	csis	PROPN
ajst-25807	167	6	press	press	NOUN
ajst-25807	167	7	,	,	PUNCT
ajst-25807	167	8	2004:11	2004:11	NUM
ajst-25807	167	9	.	.	PUNCT
ajst-25807	168	1	[	[	X
ajst-25807	168	2	10	10	NUM
ajst-25807	168	3	]	]	X
ajst-25807	168	4	berti	berti	NOUN
ajst-25807	168	5	-	-	PUNCT
ajst-25807	168	6	equille	equille	PROPN
ajst-25807	168	7	l.	l.	NOUN
ajst-25807	168	8	measuring	measuring	NOUN
ajst-25807	168	9	and	and	CCONJ
ajst-25807	168	10	modelling	model	VERB
ajst-25807	168	11	data	datum	NOUN
ajst-25807	168	12	quality	quality	NOUN
ajst-25807	168	13	for	for	ADP
ajst-25807	168	14	quality	quality	NOUN
ajst-25807	168	15	-	-	PUNCT
ajst-25807	168	16	awareness	awareness	NOUN
ajst-25807	168	17	in	in	ADP
ajst-25807	168	18	data	datum	NOUN
ajst-25807	168	19	mining[m]//quality	mining[m]//quality	NOUN
ajst-25807	168	20	measures	measure	NOUN
ajst-25807	168	21	in	in	ADP
ajst-25807	168	22	data	datum	NOUN
ajst-25807	168	23	mining	mining	NOUN
ajst-25807	168	24	.	.	PUNCT
ajst-25807	169	1	berlin	berlin	PROPN
ajst-25807	169	2	,	,	PUNCT
ajst-25807	169	3	heidelberg	heidelberg	PROPN
ajst-25807	169	4	:	:	PUNCT
ajst-25807	169	5	springer	springer	PROPN
ajst-25807	169	6	berlin	berlin	PROPN
ajst-25807	169	7	heidelberg	heidelberg	PROPN
ajst-25807	169	8	,	,	PUNCT
ajst-25807	169	9	2007	2007	NUM
ajst-25807	169	10	:	:	PUNCT
ajst-25807	169	11	101	101	NUM
ajst-25807	169	12	-	-	SYM
ajst-25807	169	13	126	126	NUM
ajst-25807	169	14	.	.	PUNCT