id	sid	tid	token	lemma	pos
ajst-20821	1	1	academic	academic	ADJ
ajst-20821	1	2	journal	journal	NOUN
ajst-20821	1	3	of	of	ADP
ajst-20821	1	4	science	science	NOUN
ajst-20821	1	5	and	and	CCONJ
ajst-20821	1	6	technology	technology	NOUN
ajst-20821	1	7	issn	issn	NOUN
ajst-20821	1	8	:	:	PUNCT
ajst-20821	1	9	2771	2771	NUM
ajst-20821	1	10	-	-	SYM
ajst-20821	1	11	3032	3032	NUM
ajst-20821	1	12	|	|	NOUN
ajst-20821	1	13	vol	vol	NOUN
ajst-20821	1	14	.	.	PROPN
ajst-20821	2	1	10	10	NUM
ajst-20821	2	2	,	,	PUNCT
ajst-20821	2	3	no	no	INTJ
ajst-20821	2	4	.	.	NOUN
ajst-20821	2	5	3	3	NUM
ajst-20821	2	6	,	,	PUNCT
ajst-20821	2	7	2024	2024	NUM
ajst-20821	2	8	226	226	NUM
ajst-20821	2	9	research	research	NOUN
ajst-20821	2	10	on	on	ADP
ajst-20821	2	11	e‐commerce	e‐commerce	PUNCT
ajst-20821	2	12	retail	retail	ADJ
ajst-20821	2	13	demand	demand	NOUN
ajst-20821	2	14	forecasting	forecasting	NOUN
ajst-20821	2	15	based	base	VERB
ajst-20821	2	16	on	on	ADP
ajst-20821	2	17	sarima	sarima	NOUN
ajst-20821	2	18	model	model	NOUN
ajst-20821	2	19	and	and	CCONJ
ajst-20821	2	20	k‐means	k‐mean	VERB
ajst-20821	2	21	clustering	cluster	VERB
ajst-20821	2	22	algorithm	algorithm	NOUN
ajst-20821	2	23	yiding	yiding	NOUN
ajst-20821	2	24	zhao	zhao	PROPN
ajst-20821	2	25	school	school	NOUN
ajst-20821	2	26	of	of	ADP
ajst-20821	2	27	statistics	statistic	NOUN
ajst-20821	2	28	,	,	PUNCT
ajst-20821	2	29	university	university	NOUN
ajst-20821	2	30	of	of	ADP
ajst-20821	2	31	international	international	ADJ
ajst-20821	2	32	business	business	NOUN
ajst-20821	2	33	and	and	CCONJ
ajst-20821	2	34	economics	economic	NOUN
ajst-20821	2	35	,	,	PUNCT
ajst-20821	2	36	beijing	beijing	PROPN
ajst-20821	2	37	,	,	PUNCT
ajst-20821	2	38	china	china	PROPN
ajst-20821	2	39	abstract	abstract	PROPN
ajst-20821	2	40	:	:	PUNCT
ajst-20821	2	41	with	with	ADP
ajst-20821	2	42	the	the	DET
ajst-20821	2	43	rapid	rapid	ADJ
ajst-20821	2	44	development	development	NOUN
ajst-20821	2	45	of	of	ADP
ajst-20821	2	46	e	e	PROPN
ajst-20821	2	47	-	-	NOUN
ajst-20821	2	48	commerce	commerce	ADJ
ajst-20821	2	49	,	,	PUNCT
ajst-20821	2	50	precise	precise	ADJ
ajst-20821	2	51	demand	demand	NOUN
ajst-20821	2	52	forecasting	forecasting	NOUN
ajst-20821	2	53	and	and	CCONJ
ajst-20821	2	54	efficient	efficient	ADJ
ajst-20821	2	55	inventory	inventory	NOUN
ajst-20821	2	56	management	management	NOUN
ajst-20821	2	57	have	have	AUX
ajst-20821	2	58	become	become	VERB
ajst-20821	2	59	essential	essential	ADJ
ajst-20821	2	60	for	for	ADP
ajst-20821	2	61	the	the	DET
ajst-20821	2	62	success	success	NOUN
ajst-20821	2	63	and	and	CCONJ
ajst-20821	2	64	profitability	profitability	NOUN
ajst-20821	2	65	of	of	ADP
ajst-20821	2	66	retail	retail	ADJ
ajst-20821	2	67	businesses	business	NOUN
ajst-20821	2	68	.	.	PUNCT
ajst-20821	3	1	this	this	DET
ajst-20821	3	2	study	study	NOUN
ajst-20821	3	3	focuses	focus	VERB
ajst-20821	3	4	on	on	ADP
ajst-20821	3	5	demand	demand	NOUN
ajst-20821	3	6	forecasting	forecasting	NOUN
ajst-20821	3	7	for	for	ADP
ajst-20821	3	8	e	e	NOUN
ajst-20821	3	9	-	-	NOUN
ajst-20821	3	10	commerce	commerce	NOUN
ajst-20821	3	11	retailers	retailer	NOUN
ajst-20821	3	12	using	use	VERB
ajst-20821	3	13	the	the	DET
ajst-20821	3	14	seasonal	seasonal	ADJ
ajst-20821	3	15	autoregressive	autoregressive	ADJ
ajst-20821	3	16	integrated	integrated	ADJ
ajst-20821	3	17	moving	move	VERB
ajst-20821	3	18	average	average	ADJ
ajst-20821	3	19	(	(	PUNCT
ajst-20821	3	20	sarima	sarima	NOUN
ajst-20821	3	21	)	)	PUNCT
ajst-20821	3	22	model	model	NOUN
ajst-20821	3	23	and	and	CCONJ
ajst-20821	3	24	the	the	DET
ajst-20821	3	25	k	k	NOUN
ajst-20821	3	26	-	-	PUNCT
ajst-20821	3	27	means	mean	VERB
ajst-20821	3	28	clustering	clustering	ADJ
ajst-20821	3	29	algorithm	algorithm	NOUN
ajst-20821	3	30	.	.	PUNCT
ajst-20821	4	1	the	the	DET
ajst-20821	4	2	research	research	NOUN
ajst-20821	4	3	utilizes	utilize	VERB
ajst-20821	4	4	a	a	DET
ajst-20821	4	5	dataset	dataset	NOUN
ajst-20821	4	6	containing	contain	VERB
ajst-20821	4	7	1996	1996	NUM
ajst-20821	4	8	time	time	NOUN
ajst-20821	4	9	series	series	NOUN
ajst-20821	4	10	of	of	ADP
ajst-20821	4	11	sales	sale	NOUN
ajst-20821	4	12	data	datum	NOUN
ajst-20821	4	13	from	from	ADP
ajst-20821	4	14	various	various	ADJ
ajst-20821	4	15	products	product	NOUN
ajst-20821	4	16	,	,	PUNCT
ajst-20821	4	17	merchants	merchant	NOUN
ajst-20821	4	18	,	,	PUNCT
ajst-20821	4	19	and	and	CCONJ
ajst-20821	4	20	warehouses	warehouse	NOUN
ajst-20821	4	21	,	,	PUNCT
ajst-20821	4	22	aiming	aim	VERB
ajst-20821	4	23	to	to	PART
ajst-20821	4	24	predict	predict	VERB
ajst-20821	4	25	demand	demand	NOUN
ajst-20821	4	26	changes	change	NOUN
ajst-20821	4	27	for	for	ADP
ajst-20821	4	28	the	the	DET
ajst-20821	4	29	next	next	ADJ
ajst-20821	4	30	15	15	NUM
ajst-20821	4	31	days	day	NOUN
ajst-20821	4	32	.	.	PUNCT
ajst-20821	5	1	the	the	DET
ajst-20821	5	2	study	study	NOUN
ajst-20821	5	3	initially	initially	ADV
ajst-20821	5	4	evaluates	evaluate	VERB
ajst-20821	5	5	three	three	NUM
ajst-20821	5	6	models	model	NOUN
ajst-20821	5	7	—	—	PUNCT
ajst-20821	5	8	linear	linear	ADJ
ajst-20821	5	9	regression	regression	NOUN
ajst-20821	5	10	(	(	PUNCT
ajst-20821	5	11	lr	lr	NOUN
ajst-20821	5	12	)	)	PUNCT
ajst-20821	5	13	,	,	PUNCT
ajst-20821	5	14	autoregressive	autoregressive	ADJ
ajst-20821	5	15	integrated	integrated	ADJ
ajst-20821	5	16	moving	move	VERB
ajst-20821	5	17	average	average	NOUN
ajst-20821	5	18	(	(	PUNCT
ajst-20821	5	19	arima	arima	PROPN
ajst-20821	5	20	)	)	PUNCT
ajst-20821	5	21	,	,	PUNCT
ajst-20821	5	22	and	and	CCONJ
ajst-20821	5	23	sarima	sarima	NOUN
ajst-20821	5	24	—	—	PUNCT
ajst-20821	5	25	by	by	ADP
ajst-20821	5	26	fitting	fit	VERB
ajst-20821	5	27	them	they	PRON
ajst-20821	5	28	to	to	ADP
ajst-20821	5	29	historical	historical	ADJ
ajst-20821	5	30	sales	sale	NOUN
ajst-20821	5	31	data	datum	NOUN
ajst-20821	5	32	to	to	PART
ajst-20821	5	33	forecast	forecast	VERB
ajst-20821	5	34	future	future	ADJ
ajst-20821	5	35	demand	demand	NOUN
ajst-20821	5	36	.	.	PUNCT
ajst-20821	6	1	the	the	DET
ajst-20821	6	2	sarima	sarima	NOUN
ajst-20821	6	3	model	model	NOUN
ajst-20821	6	4	is	be	AUX
ajst-20821	6	5	identified	identify	VERB
ajst-20821	6	6	as	as	ADP
ajst-20821	6	7	the	the	DET
ajst-20821	6	8	most	most	ADV
ajst-20821	6	9	effective	effective	ADJ
ajst-20821	6	10	through	through	ADP
ajst-20821	6	11	rigorous	rigorous	ADJ
ajst-20821	6	12	evaluation	evaluation	NOUN
ajst-20821	6	13	using	use	VERB
ajst-20821	6	14	1	1	NUM
ajst-20821	6	15	-	-	PUNCT
ajst-20821	6	16	mwape	mwape	NOUN
ajst-20821	6	17	(	(	PUNCT
ajst-20821	6	18	mean	mean	ADV
ajst-20821	6	19	weighted	weight	VERB
ajst-20821	6	20	absolute	absolute	ADJ
ajst-20821	6	21	percentage	percentage	NOUN
ajst-20821	6	22	error	error	NOUN
ajst-20821	6	23	)	)	PUNCT
ajst-20821	6	24	and	and	CCONJ
ajst-20821	6	25	rmse	rmse	PROPN
ajst-20821	6	26	(	(	PUNCT
ajst-20821	6	27	root	root	NOUN
ajst-20821	6	28	mean	mean	VERB
ajst-20821	6	29	square	square	NOUN
ajst-20821	6	30	error	error	NOUN
ajst-20821	6	31	)	)	PUNCT
ajst-20821	6	32	metrics	metric	NOUN
ajst-20821	6	33	.	.	PUNCT
ajst-20821	7	1	to	to	PART
ajst-20821	7	2	enhance	enhance	VERB
ajst-20821	7	3	homogeneity	homogeneity	NOUN
ajst-20821	7	4	within	within	ADP
ajst-20821	7	5	demand	demand	NOUN
ajst-20821	7	6	categories	category	NOUN
ajst-20821	7	7	,	,	PUNCT
ajst-20821	7	8	the	the	DET
ajst-20821	7	9	k	k	NOUN
ajst-20821	7	10	-	-	PUNCT
ajst-20821	7	11	means	mean	VERB
ajst-20821	7	12	clustering	clustering	NOUN
ajst-20821	7	13	method	method	NOUN
ajst-20821	7	14	is	be	AUX
ajst-20821	7	15	applied	apply	VERB
ajst-20821	7	16	to	to	PART
ajst-20821	7	17	divide	divide	VERB
ajst-20821	7	18	products	product	NOUN
ajst-20821	7	19	into	into	ADP
ajst-20821	7	20	four	four	NUM
ajst-20821	7	21	distinct	distinct	ADJ
ajst-20821	7	22	groups	group	NOUN
ajst-20821	7	23	,	,	PUNCT
ajst-20821	7	24	further	far	ADV
ajst-20821	7	25	refining	refine	VERB
ajst-20821	7	26	the	the	DET
ajst-20821	7	27	forecasting	forecasting	NOUN
ajst-20821	7	28	process.the	process.the	DET
ajst-20821	7	29	paper	paper	NOUN
ajst-20821	7	30	also	also	ADV
ajst-20821	7	31	addresses	address	VERB
ajst-20821	7	32	the	the	DET
ajst-20821	7	33	challenge	challenge	NOUN
ajst-20821	7	34	of	of	ADP
ajst-20821	7	35	integrating	integrate	VERB
ajst-20821	7	36	new	new	ADJ
ajst-20821	7	37	sequences	sequence	NOUN
ajst-20821	7	38	into	into	ADP
ajst-20821	7	39	the	the	DET
ajst-20821	7	40	dataset	dataset	NOUN
ajst-20821	7	41	by	by	ADP
ajst-20821	7	42	leveraging	leverage	VERB
ajst-20821	7	43	clustering	clustering	NOUN
ajst-20821	7	44	results	result	NOUN
ajst-20821	7	45	to	to	PART
ajst-20821	7	46	classify	classify	VERB
ajst-20821	7	47	sequences	sequence	NOUN
ajst-20821	7	48	and	and	CCONJ
ajst-20821	7	49	using	use	VERB
ajst-20821	7	50	cosine	cosine	NOUN
ajst-20821	7	51	similarity	similarity	NOUN
ajst-20821	7	52	to	to	PART
ajst-20821	7	53	identify	identify	VERB
ajst-20821	7	54	analogous	analogous	ADJ
ajst-20821	7	55	historical	historical	ADJ
ajst-20821	7	56	time	time	NOUN
ajst-20821	7	57	series	series	NOUN
ajst-20821	7	58	.	.	PUNCT
ajst-20821	8	1	these	these	DET
ajst-20821	8	2	matched	match	VERB
ajst-20821	8	3	sequences	sequence	NOUN
ajst-20821	8	4	serve	serve	VERB
ajst-20821	8	5	as	as	ADP
ajst-20821	8	6	the	the	DET
ajst-20821	8	7	basis	basis	NOUN
ajst-20821	8	8	for	for	ADP
ajst-20821	8	9	demand	demand	NOUN
ajst-20821	8	10	prediction	prediction	NOUN
ajst-20821	8	11	using	use	VERB
ajst-20821	8	12	the	the	DET
ajst-20821	8	13	established	establish	VERB
ajst-20821	8	14	sarima	sarima	NOUN
ajst-20821	8	15	model	model	NOUN
ajst-20821	8	16	.	.	PUNCT
ajst-20821	9	1	the	the	DET
ajst-20821	9	2	findings	finding	NOUN
ajst-20821	9	3	highlight	highlight	VERB
ajst-20821	9	4	the	the	DET
ajst-20821	9	5	robustness	robustness	NOUN
ajst-20821	9	6	of	of	ADP
ajst-20821	9	7	the	the	DET
ajst-20821	9	8	sarima	sarima	NOUN
ajst-20821	9	9	model	model	NOUN
ajst-20821	9	10	in	in	ADP
ajst-20821	9	11	capturing	capture	VERB
ajst-20821	9	12	trends	trend	NOUN
ajst-20821	9	13	and	and	CCONJ
ajst-20821	9	14	seasonality	seasonality	NOUN
ajst-20821	9	15	,	,	PUNCT
ajst-20821	9	16	providing	provide	VERB
ajst-20821	9	17	a	a	DET
ajst-20821	9	18	reliable	reliable	ADJ
ajst-20821	9	19	framework	framework	NOUN
ajst-20821	9	20	for	for	ADP
ajst-20821	9	21	e	e	NOUN
ajst-20821	9	22	-	-	NOUN
ajst-20821	9	23	commerce	commerce	NOUN
ajst-20821	9	24	demand	demand	NOUN
ajst-20821	9	25	forecasting	forecasting	NOUN
ajst-20821	9	26	that	that	PRON
ajst-20821	9	27	can	can	AUX
ajst-20821	9	28	significantly	significantly	ADV
ajst-20821	9	29	impact	impact	VERB
ajst-20821	9	30	inventory	inventory	NOUN
ajst-20821	9	31	strategies	strategy	NOUN
ajst-20821	9	32	and	and	CCONJ
ajst-20821	9	33	operational	operational	ADJ
ajst-20821	9	34	efficiency	efficiency	NOUN
ajst-20821	9	35	.	.	PUNCT
ajst-20821	10	1	keywords	keyword	NOUN
ajst-20821	10	2	:	:	PUNCT
ajst-20821	10	3	e	e	X
ajst-20821	10	4	-	-	NOUN
ajst-20821	10	5	commerce	commerce	NOUN
ajst-20821	10	6	,	,	PUNCT
ajst-20821	10	7	demand	demand	NOUN
ajst-20821	10	8	forecasting	forecasting	NOUN
ajst-20821	10	9	,	,	PUNCT
ajst-20821	10	10	sarima	sarima	NOUN
ajst-20821	10	11	model	model	NOUN
ajst-20821	10	12	,	,	PUNCT
ajst-20821	10	13	k	k	ADJ
ajst-20821	10	14	-	-	PUNCT
ajst-20821	10	15	means	means	NOUN
ajst-20821	10	16	clustering	clustering	NOUN
ajst-20821	10	17	.	.	PUNCT
ajst-20821	11	1	1	1	X
ajst-20821	11	2	.	.	X
ajst-20821	11	3	introduction	introduction	NOUN
ajst-20821	11	4	in	in	ADP
ajst-20821	11	5	the	the	DET
ajst-20821	11	6	context	context	NOUN
ajst-20821	11	7	of	of	ADP
ajst-20821	11	8	the	the	DET
ajst-20821	11	9	digital	digital	ADJ
ajst-20821	11	10	era	era	NOUN
ajst-20821	11	11	,	,	PUNCT
ajst-20821	11	12	e	e	NOUN
ajst-20821	11	13	-	-	NOUN
ajst-20821	11	14	commerce	commerce	NOUN
ajst-20821	11	15	has	have	AUX
ajst-20821	11	16	emerged	emerge	VERB
ajst-20821	11	17	as	as	ADP
ajst-20821	11	18	a	a	DET
ajst-20821	11	19	significant	significant	ADJ
ajst-20821	11	20	driving	driving	NOUN
ajst-20821	11	21	force	force	NOUN
ajst-20821	11	22	in	in	ADP
ajst-20821	11	23	the	the	DET
ajst-20821	11	24	retail	retail	ADJ
ajst-20821	11	25	industry	industry	NOUN
ajst-20821	11	26	with	with	ADP
ajst-20821	11	27	its	its	PRON
ajst-20821	11	28	rapid	rapid	ADJ
ajst-20821	11	29	growth	growth	NOUN
ajst-20821	11	30	.	.	PUNCT
ajst-20821	12	1	as	as	SCONJ
ajst-20821	12	2	online	online	ADJ
ajst-20821	12	3	transaction	transaction	NOUN
ajst-20821	12	4	volumes	volume	NOUN
ajst-20821	12	5	continue	continue	VERB
ajst-20821	12	6	to	to	PART
ajst-20821	12	7	soar	soar	VERB
ajst-20821	12	8	,	,	PUNCT
ajst-20821	12	9	accurate	accurate	ADJ
ajst-20821	12	10	demand	demand	NOUN
ajst-20821	12	11	forecasting	forecasting	NOUN
ajst-20821	12	12	and	and	CCONJ
ajst-20821	12	13	effective	effective	ADJ
ajst-20821	12	14	inventory	inventory	NOUN
ajst-20821	12	15	management	management	NOUN
ajst-20821	12	16	have	have	AUX
ajst-20821	12	17	become	become	VERB
ajst-20821	12	18	crucial	crucial	ADJ
ajst-20821	12	19	for	for	ADP
ajst-20821	12	20	retailers	retailer	NOUN
ajst-20821	12	21	.	.	PUNCT
ajst-20821	13	1	precise	precise	ADJ
ajst-20821	13	2	demand	demand	NOUN
ajst-20821	13	3	forecasting	forecasting	NOUN
ajst-20821	13	4	enables	enable	VERB
ajst-20821	13	5	retailers	retailer	NOUN
ajst-20821	13	6	to	to	PART
ajst-20821	13	7	align	align	VERB
ajst-20821	13	8	inventory	inventory	NOUN
ajst-20821	13	9	levels	level	NOUN
ajst-20821	13	10	with	with	ADP
ajst-20821	13	11	expected	expect	VERB
ajst-20821	13	12	sales	sale	NOUN
ajst-20821	13	13	,	,	PUNCT
ajst-20821	13	14	thereby	thereby	ADV
ajst-20821	13	15	minimizing	minimize	VERB
ajst-20821	13	16	costs	cost	NOUN
ajst-20821	13	17	associated	associate	VERB
ajst-20821	13	18	with	with	ADP
ajst-20821	13	19	overstock	overstock	NOUN
ajst-20821	13	20	and	and	CCONJ
ajst-20821	13	21	stockouts	stockout	NOUN
ajst-20821	13	22	while	while	SCONJ
ajst-20821	13	23	maximizing	maximize	VERB
ajst-20821	13	24	customer	customer	NOUN
ajst-20821	13	25	satisfaction	satisfaction	NOUN
ajst-20821	13	26	and	and	CCONJ
ajst-20821	13	27	revenue[1	revenue[1	NOUN
ajst-20821	13	28	-	-	PUNCT
ajst-20821	13	29	3	3	NUM
ajst-20821	13	30	]	]	PUNCT
ajst-20821	13	31	.	.	PUNCT
ajst-20821	14	1	this	this	DET
ajst-20821	14	2	study	study	NOUN
ajst-20821	14	3	aims	aim	VERB
ajst-20821	14	4	to	to	PART
ajst-20821	14	5	explore	explore	VERB
ajst-20821	14	6	the	the	DET
ajst-20821	14	7	application	application	NOUN
ajst-20821	14	8	of	of	ADP
ajst-20821	14	9	advanced	advanced	ADJ
ajst-20821	14	10	time	time	NOUN
ajst-20821	14	11	series	series	NOUN
ajst-20821	14	12	models	model	NOUN
ajst-20821	14	13	for	for	ADP
ajst-20821	14	14	demand	demand	NOUN
ajst-20821	14	15	forecasting	forecasting	NOUN
ajst-20821	14	16	by	by	ADP
ajst-20821	14	17	e	e	NOUN
ajst-20821	14	18	-	-	NOUN
ajst-20821	14	19	commerce	commerce	NOUN
ajst-20821	14	20	retailers[4	retailers[4	PROPN
ajst-20821	14	21	]	]	PUNCT
ajst-20821	14	22	,	,	PUNCT
ajst-20821	14	23	with	with	ADP
ajst-20821	14	24	a	a	DET
ajst-20821	14	25	particular	particular	ADJ
ajst-20821	14	26	focus	focus	NOUN
ajst-20821	14	27	on	on	ADP
ajst-20821	14	28	the	the	DET
ajst-20821	14	29	use	use	NOUN
ajst-20821	14	30	of	of	ADP
ajst-20821	14	31	the	the	DET
ajst-20821	14	32	seasonal	seasonal	ADJ
ajst-20821	14	33	autoregressive	autoregressive	ADJ
ajst-20821	14	34	integrated	integrated	ADJ
ajst-20821	14	35	moving	move	VERB
ajst-20821	14	36	average	average	ADJ
ajst-20821	14	37	(	(	PUNCT
ajst-20821	14	38	sarima	sarima	NOUN
ajst-20821	14	39	)	)	PUNCT
ajst-20821	14	40	model	model	NOUN
ajst-20821	14	41	.	.	PUNCT
ajst-20821	15	1	the	the	DET
ajst-20821	15	2	sarima	sarima	NOUN
ajst-20821	15	3	model	model	NOUN
ajst-20821	15	4	,	,	PUNCT
ajst-20821	15	5	an	an	DET
ajst-20821	15	6	extension	extension	NOUN
ajst-20821	15	7	of	of	ADP
ajst-20821	15	8	the	the	DET
ajst-20821	15	9	arima	arima	NOUN
ajst-20821	15	10	model[5	model[5	PROPN
ajst-20821	15	11	]	]	PUNCT
ajst-20821	15	12	,	,	PUNCT
ajst-20821	15	13	incorporates	incorporate	VERB
ajst-20821	15	14	elements	element	NOUN
ajst-20821	15	15	of	of	ADP
ajst-20821	15	16	autoregression	autoregression	NOUN
ajst-20821	15	17	and	and	CCONJ
ajst-20821	15	18	moving	move	VERB
ajst-20821	15	19	averages	average	NOUN
ajst-20821	15	20	while	while	SCONJ
ajst-20821	15	21	also	also	ADV
ajst-20821	15	22	accounting	account	VERB
ajst-20821	15	23	for	for	ADP
ajst-20821	15	24	seasonal	seasonal	ADJ
ajst-20821	15	25	variations	variation	NOUN
ajst-20821	15	26	in	in	ADP
ajst-20821	15	27	the	the	DET
ajst-20821	15	28	data	datum	NOUN
ajst-20821	15	29	.	.	PUNCT
ajst-20821	16	1	this	this	PRON
ajst-20821	16	2	makes	make	VERB
ajst-20821	16	3	it	it	PRON
ajst-20821	16	4	especially	especially	ADV
ajst-20821	16	5	suitable	suitable	ADJ
ajst-20821	16	6	for	for	ADP
ajst-20821	16	7	analyzing	analyze	VERB
ajst-20821	16	8	data	datum	NOUN
ajst-20821	16	9	that	that	PRON
ajst-20821	16	10	exhibits	exhibit	VERB
ajst-20821	16	11	regular	regular	ADJ
ajst-20821	16	12	patterns	pattern	NOUN
ajst-20821	16	13	over	over	ADP
ajst-20821	16	14	specific	specific	ADJ
ajst-20821	16	15	time	time	NOUN
ajst-20821	16	16	periods[6	periods[6	NUM
ajst-20821	16	17	]	]	X
ajst-20821	16	18	,	,	PUNCT
ajst-20821	16	19	such	such	ADJ
ajst-20821	16	20	as	as	ADP
ajst-20821	16	21	seasonal	seasonal	ADJ
ajst-20821	16	22	fluctuations	fluctuation	NOUN
ajst-20821	16	23	in	in	ADP
ajst-20821	16	24	consumer	consumer	NOUN
ajst-20821	16	25	purchasing	purchasing	NOUN
ajst-20821	16	26	behavior	behavior	NOUN
ajst-20821	16	27	.	.	PUNCT
ajst-20821	17	1	the	the	DET
ajst-20821	17	2	research	research	NOUN
ajst-20821	17	3	is	be	AUX
ajst-20821	17	4	based	base	VERB
ajst-20821	17	5	on	on	ADP
ajst-20821	17	6	a	a	DET
ajst-20821	17	7	comprehensive	comprehensive	ADJ
ajst-20821	17	8	dataset	dataset	NOUN
ajst-20821	17	9	containing	contain	VERB
ajst-20821	17	10	1996	1996	NUM
ajst-20821	17	11	time	time	NOUN
ajst-20821	17	12	series	series	NOUN
ajst-20821	17	13	,	,	PUNCT
ajst-20821	17	14	encompassing	encompass	VERB
ajst-20821	17	15	sales	sale	NOUN
ajst-20821	17	16	data	datum	NOUN
ajst-20821	17	17	for	for	ADP
ajst-20821	17	18	a	a	DET
ajst-20821	17	19	diverse	diverse	ADJ
ajst-20821	17	20	range	range	NOUN
ajst-20821	17	21	of	of	ADP
ajst-20821	17	22	products	product	NOUN
ajst-20821	17	23	across	across	ADP
ajst-20821	17	24	various	various	ADJ
ajst-20821	17	25	merchants	merchant	NOUN
ajst-20821	17	26	and	and	CCONJ
ajst-20821	17	27	warehouses	warehouse	NOUN
ajst-20821	17	28	.	.	PUNCT
ajst-20821	18	1	the	the	DET
ajst-20821	18	2	goal	goal	NOUN
ajst-20821	18	3	of	of	ADP
ajst-20821	18	4	the	the	DET
ajst-20821	18	5	study	study	NOUN
ajst-20821	18	6	is	be	AUX
ajst-20821	18	7	to	to	PART
ajst-20821	18	8	predict	predict	VERB
ajst-20821	18	9	demand	demand	NOUN
ajst-20821	18	10	for	for	ADP
ajst-20821	18	11	the	the	DET
ajst-20821	18	12	next	next	ADJ
ajst-20821	18	13	15	15	NUM
ajst-20821	18	14	days	day	NOUN
ajst-20821	18	15	,	,	PUNCT
ajst-20821	18	16	which	which	PRON
ajst-20821	18	17	is	be	AUX
ajst-20821	18	18	critical	critical	ADJ
ajst-20821	18	19	for	for	ADP
ajst-20821	18	20	inventory	inventory	NOUN
ajst-20821	18	21	planning	planning	NOUN
ajst-20821	18	22	in	in	ADP
ajst-20821	18	23	e	e	NOUN
ajst-20821	18	24	-	-	NOUN
ajst-20821	18	25	commerce	commerce	NOUN
ajst-20821	18	26	.	.	PUNCT
ajst-20821	19	1	by	by	ADP
ajst-20821	19	2	integrating	integrate	VERB
ajst-20821	19	3	the	the	DET
ajst-20821	19	4	sarima	sarima	NOUN
ajst-20821	19	5	model	model	NOUN
ajst-20821	19	6	with	with	ADP
ajst-20821	19	7	clustering	clustering	NOUN
ajst-20821	19	8	and	and	CCONJ
ajst-20821	19	9	similarity	similarity	NOUN
ajst-20821	19	10	analysis	analysis	NOUN
ajst-20821	19	11	techniques	technique	NOUN
ajst-20821	19	12	,	,	PUNCT
ajst-20821	19	13	this	this	DET
ajst-20821	19	14	research	research	NOUN
ajst-20821	19	15	offers	offer	VERB
ajst-20821	19	16	a	a	DET
ajst-20821	19	17	robust	robust	ADJ
ajst-20821	19	18	and	and	CCONJ
ajst-20821	19	19	nuanced	nuanced	ADJ
ajst-20821	19	20	approach	approach	NOUN
ajst-20821	19	21	to	to	AUX
ajst-20821	19	22	demand	demand	VERB
ajst-20821	19	23	forecasting	forecasting	NOUN
ajst-20821	19	24	in	in	ADP
ajst-20821	19	25	the	the	DET
ajst-20821	19	26	e	e	PROPN
ajst-20821	19	27	-	-	NOUN
ajst-20821	19	28	commerce	commerce	NOUN
ajst-20821	19	29	domain	domain	NOUN
ajst-20821	19	30	.	.	PUNCT
ajst-20821	20	1	2	2	X
ajst-20821	20	2	.	.	X
ajst-20821	20	3	research	research	NOUN
ajst-20821	20	4	methodology	methodology	NOUN
ajst-20821	20	5	and	and	CCONJ
ajst-20821	20	6	model	model	NOUN
ajst-20821	20	7	development	development	PROPN
ajst-20821	20	8	2.1	2.1	NUM
ajst-20821	20	9	.	.	PUNCT
ajst-20821	20	10	dataset	dataset	VERB
ajst-20821	20	11	the	the	DET
ajst-20821	20	12	dataset	dataset	NOUN
ajst-20821	20	13	utilized	utilize	VERB
ajst-20821	20	14	in	in	ADP
ajst-20821	20	15	this	this	DET
ajst-20821	20	16	study	study	NOUN
ajst-20821	20	17	consists	consist	VERB
ajst-20821	20	18	of	of	ADP
ajst-20821	20	19	1996	1996	NUM
ajst-20821	20	20	time	time	NOUN
ajst-20821	20	21	series	series	NOUN
ajst-20821	20	22	that	that	PRON
ajst-20821	20	23	meticulously	meticulously	ADV
ajst-20821	20	24	document	document	VERB
ajst-20821	20	25	the	the	DET
ajst-20821	20	26	sales	sale	NOUN
ajst-20821	20	27	volume	volume	NOUN
ajst-20821	20	28	of	of	ADP
ajst-20821	20	29	various	various	ADJ
ajst-20821	20	30	products	product	NOUN
ajst-20821	20	31	across	across	ADP
ajst-20821	20	32	different	different	ADJ
ajst-20821	20	33	merchants	merchant	NOUN
ajst-20821	20	34	and	and	CCONJ
ajst-20821	20	35	warehouses	warehouse	NOUN
ajst-20821	20	36	.	.	PUNCT
ajst-20821	21	1	these	these	DET
ajst-20821	21	2	data	datum	NOUN
ajst-20821	21	3	encompass	encompass	VERB
ajst-20821	21	4	a	a	DET
ajst-20821	21	5	wide	wide	ADJ
ajst-20821	21	6	range	range	NOUN
ajst-20821	21	7	of	of	ADP
ajst-20821	21	8	product	product	NOUN
ajst-20821	21	9	categories	category	NOUN
ajst-20821	21	10	,	,	PUNCT
ajst-20821	21	11	including	include	VERB
ajst-20821	21	12	food	food	NOUN
ajst-20821	21	13	and	and	CCONJ
ajst-20821	21	14	beverages	beverage	NOUN
ajst-20821	21	15	,	,	PUNCT
ajst-20821	21	16	home	home	NOUN
ajst-20821	21	17	furnishings	furnishing	NOUN
ajst-20821	21	18	and	and	CCONJ
ajst-20821	21	19	building	building	NOUN
ajst-20821	21	20	materials	material	NOUN
ajst-20821	21	21	,	,	PUNCT
ajst-20821	21	22	toys	toy	NOUN
ajst-20821	21	23	and	and	CCONJ
ajst-20821	21	24	musical	musical	ADJ
ajst-20821	21	25	instruments	instrument	NOUN
ajst-20821	21	26	,	,	PUNCT
ajst-20821	21	27	among	among	ADP
ajst-20821	21	28	others	other	NOUN
ajst-20821	21	29	,	,	PUNCT
ajst-20821	21	30	ensuring	ensure	VERB
ajst-20821	21	31	the	the	DET
ajst-20821	21	32	broad	broad	ADJ
ajst-20821	21	33	applicability	applicability	NOUN
ajst-20821	21	34	and	and	CCONJ
ajst-20821	21	35	representativeness	representativeness	NOUN
ajst-20821	21	36	of	of	ADP
ajst-20821	21	37	the	the	DET
ajst-20821	21	38	study	study	NOUN
ajst-20821	21	39	's	's	PART
ajst-20821	21	40	findings	finding	NOUN
ajst-20821	21	41	.	.	PUNCT
ajst-20821	22	1	each	each	DET
ajst-20821	22	2	time	time	NOUN
ajst-20821	22	3	series	series	PROPN
ajst-20821	22	4	contains	contain	VERB
ajst-20821	22	5	sales	sale	NOUN
ajst-20821	22	6	information	information	NOUN
ajst-20821	22	7	for	for	ADP
ajst-20821	22	8	a	a	DET
ajst-20821	22	9	specific	specific	ADJ
ajst-20821	22	10	product	product	NOUN
ajst-20821	22	11	under	under	ADP
ajst-20821	22	12	a	a	DET
ajst-20821	22	13	particular	particular	ADJ
ajst-20821	22	14	merchant	merchant	NOUN
ajst-20821	22	15	and	and	CCONJ
ajst-20821	22	16	warehouse	warehouse	NOUN
ajst-20821	22	17	,	,	PUNCT
ajst-20821	22	18	recording	record	VERB
ajst-20821	22	19	the	the	DET
ajst-20821	22	20	quantity	quantity	NOUN
ajst-20821	22	21	sold	sell	VERB
ajst-20821	22	22	over	over	ADP
ajst-20821	22	23	a	a	DET
ajst-20821	22	24	continuous	continuous	ADJ
ajst-20821	22	25	period	period	NOUN
ajst-20821	22	26	,	,	PUNCT
ajst-20821	22	27	providing	provide	VERB
ajst-20821	22	28	rich	rich	ADJ
ajst-20821	22	29	historical	historical	ADJ
ajst-20821	22	30	information	information	NOUN
ajst-20821	22	31	for	for	ADP
ajst-20821	22	32	demand	demand	NOUN
ajst-20821	22	33	forecasting	forecasting	NOUN
ajst-20821	22	34	.	.	PUNCT
ajst-20821	23	1	before	before	ADP
ajst-20821	23	2	proceeding	proceed	VERB
ajst-20821	23	3	with	with	ADP
ajst-20821	23	4	demand	demand	NOUN
ajst-20821	23	5	forecasting	forecasting	NOUN
ajst-20821	23	6	,	,	PUNCT
ajst-20821	23	7	the	the	DET
ajst-20821	23	8	original	original	ADJ
ajst-20821	23	9	dataset	dataset	NOUN
ajst-20821	23	10	underwent	underwent	NOUN
ajst-20821	23	11	a	a	DET
ajst-20821	23	12	series	series	NOUN
ajst-20821	23	13	of	of	ADP
ajst-20821	23	14	preprocessing	preprocesse	VERB
ajst-20821	23	15	steps	step	NOUN
ajst-20821	23	16	to	to	PART
ajst-20821	23	17	ensure	ensure	VERB
ajst-20821	23	18	the	the	DET
ajst-20821	23	19	quality	quality	NOUN
ajst-20821	23	20	and	and	CCONJ
ajst-20821	23	21	suitability	suitability	NOUN
ajst-20821	23	22	of	of	ADP
ajst-20821	23	23	the	the	DET
ajst-20821	23	24	data	datum	NOUN
ajst-20821	23	25	for	for	ADP
ajst-20821	23	26	analysis	analysis	NOUN
ajst-20821	23	27	.	.	PUNCT
ajst-20821	24	1	the	the	DET
ajst-20821	24	2	following	follow	VERB
ajst-20821	24	3	are	be	AUX
ajst-20821	24	4	the	the	DET
ajst-20821	24	5	main	main	ADJ
ajst-20821	24	6	preprocessing	preprocessing	NOUN
ajst-20821	24	7	measures	measure	NOUN
ajst-20821	24	8	taken	take	VERB
ajst-20821	24	9	.	.	PUNCT
ajst-20821	25	1	initially	initially	ADV
ajst-20821	25	2	,	,	PUNCT
ajst-20821	25	3	all	all	DET
ajst-20821	25	4	null	null	ADJ
ajst-20821	25	5	and	and	CCONJ
ajst-20821	25	6	duplicate	duplicate	ADJ
ajst-20821	25	7	records	record	NOUN
ajst-20821	25	8	in	in	ADP
ajst-20821	25	9	the	the	DET
ajst-20821	25	10	dataset	dataset	NOUN
ajst-20821	25	11	were	be	AUX
ajst-20821	25	12	removed	remove	VERB
ajst-20821	25	13	to	to	PART
ajst-20821	25	14	prevent	prevent	VERB
ajst-20821	25	15	any	any	DET
ajst-20821	25	16	adverse	adverse	ADJ
ajst-20821	25	17	effects	effect	NOUN
ajst-20821	25	18	on	on	ADP
ajst-20821	25	19	the	the	DET
ajst-20821	25	20	analytical	analytical	ADJ
ajst-20821	25	21	results	result	NOUN
ajst-20821	25	22	.	.	PUNCT
ajst-20821	26	1	for	for	ADP
ajst-20821	26	2	identified	identify	VERB
ajst-20821	26	3	data	datum	NOUN
ajst-20821	26	4	outliers	outlier	NOUN
ajst-20821	26	5	,	,	PUNCT
ajst-20821	26	6	the	the	DET
ajst-20821	26	7	3σ	3σ	NUM
ajst-20821	26	8	rule	rule	NOUN
ajst-20821	26	9	was	be	AUX
ajst-20821	26	10	applied	apply	VERB
ajst-20821	26	11	for	for	ADP
ajst-20821	26	12	identification	identification	NOUN
ajst-20821	26	13	and	and	CCONJ
ajst-20821	26	14	treatment	treatment	NOUN
ajst-20821	26	15	to	to	PART
ajst-20821	26	16	ensure	ensure	VERB
ajst-20821	26	17	the	the	DET
ajst-20821	26	18	accuracy	accuracy	NOUN
ajst-20821	26	19	of	of	ADP
ajst-20821	26	20	the	the	DET
ajst-20821	26	21	data	datum	NOUN
ajst-20821	26	22	.	.	PUNCT
ajst-20821	27	1	the	the	DET
ajst-20821	27	2	dataset	dataset	NOUN
ajst-20821	27	3	was	be	AUX
ajst-20821	27	4	subjected	subject	VERB
ajst-20821	27	5	to	to	ADP
ajst-20821	27	6	a	a	DET
ajst-20821	27	7	validity	validity	NOUN
ajst-20821	27	8	check	check	NOUN
ajst-20821	27	9	to	to	PART
ajst-20821	27	10	ensure	ensure	VERB
ajst-20821	27	11	the	the	DET
ajst-20821	27	12	consistency	consistency	NOUN
ajst-20821	27	13	of	of	ADP
ajst-20821	27	14	key	key	ADJ
ajst-20821	27	15	information	information	NOUN
ajst-20821	27	16	such	such	ADJ
ajst-20821	27	17	as	as	ADP
ajst-20821	27	18	merchant	merchant	NOUN
ajst-20821	27	19	numbers	number	NOUN
ajst-20821	27	20	,	,	PUNCT
ajst-20821	27	21	product	product	NOUN
ajst-20821	27	22	numbers	number	NOUN
ajst-20821	27	23	,	,	PUNCT
ajst-20821	27	24	and	and	CCONJ
ajst-20821	27	25	warehouse	warehouse	NOUN
ajst-20821	27	26	numbers	number	NOUN
ajst-20821	27	27	,	,	PUNCT
ajst-20821	27	28	ensuring	ensure	VERB
ajst-20821	27	29	the	the	DET
ajst-20821	27	30	integrity	integrity	NOUN
ajst-20821	27	31	and	and	CCONJ
ajst-20821	27	32	accuracy	accuracy	NOUN
ajst-20821	27	33	of	of	ADP
ajst-20821	27	34	the	the	DET
ajst-20821	27	35	data	datum	NOUN
ajst-20821	27	36	.	.	PUNCT
ajst-20821	28	1	multiple	multiple	ADJ
ajst-20821	28	2	tables	table	NOUN
ajst-20821	28	3	provided	provide	VERB
ajst-20821	28	4	based	base	VERB
ajst-20821	28	5	on	on	ADP
ajst-20821	28	6	the	the	DET
ajst-20821	28	7	same	same	ADJ
ajst-20821	28	8	field	field	NOUN
ajst-20821	28	9	names	name	NOUN
ajst-20821	28	10	were	be	AUX
ajst-20821	28	11	merged	merge	VERB
ajst-20821	28	12	to	to	PART
ajst-20821	28	13	form	form	VERB
ajst-20821	28	14	a	a	DET
ajst-20821	28	15	comprehensive	comprehensive	ADJ
ajst-20821	28	16	table	table	NOUN
ajst-20821	28	17	,	,	PUNCT
ajst-20821	28	18	which	which	PRON
ajst-20821	28	19	included	include	VERB
ajst-20821	28	20	key	key	ADJ
ajst-20821	28	21	information	information	NOUN
ajst-20821	28	22	such	such	ADJ
ajst-20821	28	23	as	as	ADP
ajst-20821	28	24	merchant	merchant	NOUN
ajst-20821	28	25	numbers	number	NOUN
ajst-20821	28	26	,	,	PUNCT
ajst-20821	28	27	product	product	NOUN
ajst-20821	28	28	numbers	number	NOUN
ajst-20821	28	29	,	,	PUNCT
ajst-20821	28	30	and	and	CCONJ
ajst-20821	28	31	warehouse	warehouse	NOUN
ajst-20821	28	32	numbers	number	NOUN
ajst-20821	28	33	,	,	PUNCT
ajst-20821	28	34	laying	lay	VERB
ajst-20821	28	35	the	the	DET
ajst-20821	28	36	foundation	foundation	NOUN
ajst-20821	28	37	for	for	ADP
ajst-20821	28	38	subsequent	subsequent	ADJ
ajst-20821	28	39	data	datum	NOUN
ajst-20821	28	40	analysis	analysis	NOUN
ajst-20821	28	41	.	.	PUNCT
ajst-20821	29	1	the	the	DET
ajst-20821	29	2	merged	merge	VERB
ajst-20821	29	3	table	table	NOUN
ajst-20821	29	4	was	be	AUX
ajst-20821	29	5	arranged	arrange	VERB
ajst-20821	29	6	in	in	ADP
ajst-20821	29	7	chronological	chronological	ADJ
ajst-20821	29	8	order	order	NOUN
ajst-20821	29	9	,	,	PUNCT
ajst-20821	29	10	and	and	CCONJ
ajst-20821	29	11	227	227	NUM
ajst-20821	29	12	outliers	outlier	NOUN
ajst-20821	29	13	were	be	AUX
ajst-20821	29	14	identified	identify	VERB
ajst-20821	29	15	based	base	VERB
ajst-20821	29	16	on	on	ADP
ajst-20821	29	17	the	the	DET
ajst-20821	29	18	3σ	3σ	NUM
ajst-20821	29	19	rule	rule	NOUN
ajst-20821	29	20	.	.	PUNCT
ajst-20821	30	1	interpolation	interpolation	NOUN
ajst-20821	30	2	methods	method	NOUN
ajst-20821	30	3	were	be	AUX
ajst-20821	30	4	then	then	ADV
ajst-20821	30	5	applied	apply	VERB
ajst-20821	30	6	to	to	PART
ajst-20821	30	7	handle	handle	VERB
ajst-20821	30	8	these	these	DET
ajst-20821	30	9	outliers	outlier	NOUN
ajst-20821	30	10	,	,	PUNCT
ajst-20821	30	11	ensuring	ensure	VERB
ajst-20821	30	12	the	the	DET
ajst-20821	30	13	continuity	continuity	NOUN
ajst-20821	30	14	of	of	ADP
ajst-20821	30	15	the	the	DET
ajst-20821	30	16	time	time	NOUN
ajst-20821	30	17	series	series	NOUN
ajst-20821	30	18	.	.	PUNCT
ajst-20821	31	1	the	the	DET
ajst-20821	31	2	3σ	3σ	NUM
ajst-20821	31	3	rule	rule	NOUN
ajst-20821	31	4	,	,	PUNCT
ajst-20821	31	5	also	also	ADV
ajst-20821	31	6	known	know	VERB
ajst-20821	31	7	as	as	ADP
ajst-20821	31	8	the	the	DET
ajst-20821	31	9	laplace	laplace	NOUN
ajst-20821	31	10	criterion	criterion	NOUN
ajst-20821	31	11	,	,	PUNCT
ajst-20821	31	12	refers	refer	VERB
ajst-20821	31	13	to	to	ADP
ajst-20821	31	14	the	the	DET
ajst-20821	31	15	process	process	NOUN
ajst-20821	31	16	of	of	ADP
ajst-20821	31	17	calculating	calculate	VERB
ajst-20821	31	18	the	the	DET
ajst-20821	31	19	standard	standard	ADJ
ajst-20821	31	20	deviation	deviation	NOUN
ajst-20821	31	21	of	of	ADP
ajst-20821	31	22	a	a	DET
ajst-20821	31	23	set	set	NOUN
ajst-20821	31	24	of	of	ADP
ajst-20821	31	25	data	datum	NOUN
ajst-20821	31	26	under	under	ADP
ajst-20821	31	27	the	the	DET
ajst-20821	31	28	assumption	assumption	NOUN
ajst-20821	31	29	that	that	SCONJ
ajst-20821	31	30	it	it	PRON
ajst-20821	31	31	contains	contain	VERB
ajst-20821	31	32	only	only	ADV
ajst-20821	31	33	random	random	ADJ
ajst-20821	31	34	errors	error	NOUN
ajst-20821	31	35	.	.	PUNCT
ajst-20821	32	1	a	a	DET
ajst-20821	32	2	certain	certain	ADJ
ajst-20821	32	3	interval	interval	NOUN
ajst-20821	32	4	is	be	AUX
ajst-20821	32	5	determined	determine	VERB
ajst-20821	32	6	based	base	VERB
ajst-20821	32	7	on	on	ADP
ajst-20821	32	8	probability	probability	NOUN
ajst-20821	32	9	,	,	PUNCT
ajst-20821	32	10	and	and	CCONJ
ajst-20821	32	11	errors	error	NOUN
ajst-20821	32	12	exceeding	exceed	VERB
ajst-20821	32	13	this	this	DET
ajst-20821	32	14	interval	interval	NOUN
ajst-20821	32	15	are	be	AUX
ajst-20821	32	16	considered	consider	VERB
ajst-20821	32	17	not	not	PART
ajst-20821	32	18	random	random	ADJ
ajst-20821	32	19	but	but	CCONJ
ajst-20821	32	20	significant	significant	ADJ
ajst-20821	32	21	,	,	PUNCT
ajst-20821	32	22	and	and	CCONJ
ajst-20821	32	23	data	datum	NOUN
ajst-20821	32	24	containing	contain	VERB
ajst-20821	32	25	such	such	ADJ
ajst-20821	32	26	errors	error	NOUN
ajst-20821	32	27	should	should	AUX
ajst-20821	32	28	be	be	AUX
ajst-20821	32	29	discarded	discard	VERB
ajst-20821	32	30	.	.	PUNCT
ajst-20821	33	1	the	the	DET
ajst-20821	33	2	normal	normal	ADJ
ajst-20821	33	3	distribution	distribution	NOUN
ajst-20821	33	4	formula	formula	NOUN
ajst-20821	33	5	is	be	AUX
ajst-20821	33	6	as	as	SCONJ
ajst-20821	33	7	follows	follow	VERB
ajst-20821	33	8	.	.	PUNCT
ajst-20821	34	1	(	(	PUNCT
ajst-20821	34	2	1	1	X
ajst-20821	34	3	)	)	PUNCT
ajst-20821	34	4	after	after	ADP
ajst-20821	34	5	integration	integration	NOUN
ajst-20821	34	6	calculations	calculation	NOUN
ajst-20821	34	7	,	,	PUNCT
ajst-20821	34	8	we	we	PRON
ajst-20821	34	9	can	can	AUX
ajst-20821	34	10	determine	determine	VERB
ajst-20821	34	11	that	that	SCONJ
ajst-20821	34	12	the	the	DET
ajst-20821	34	13	area	area	NOUN
ajst-20821	34	14	within	within	ADP
ajst-20821	34	15	the	the	DET
ajst-20821	34	16	horizontal	horizontal	ADJ
ajst-20821	34	17	interval	interval	NOUN
ajst-20821	34	18	(	(	PUNCT
ajst-20821	34	19	，	，	PROPN
ajst-20821	34	20	)	)	PUNCT
ajst-20821	34	21	is	be	AUX
ajst-20821	34	22	68.268949	68.268949	NUM
ajst-20821	34	23	%	%	NOUN
ajst-20821	34	24	,	,	PUNCT
ajst-20821	34	25	the	the	DET
ajst-20821	34	26	area	area	NOUN
ajst-20821	34	27	within	within	ADP
ajst-20821	34	28	(	(	PUNCT
ajst-20821	34	29	，	，	PROPN
ajst-20821	34	30	)	)	PUNCT
ajst-20821	34	31	is	be	AUX
ajst-20821	34	32	95.449974	95.449974	NUM
ajst-20821	34	33	%	%	NOUN
ajst-20821	34	34	,	,	PUNCT
ajst-20821	34	35	and	and	CCONJ
ajst-20821	34	36	the	the	DET
ajst-20821	34	37	area	area	NOUN
ajst-20821	34	38	within	within	ADP
ajst-20821	34	39	(	(	PUNCT
ajst-20821	34	40	，	，	PROPN
ajst-20821	34	41	)	)	PUNCT
ajst-20821	34	42	is	be	AUX
ajst-20821	34	43	99.730020	99.730020	NUM
ajst-20821	34	44	%	%	NOUN
ajst-20821	34	45	.	.	PUNCT
ajst-20821	35	1	therefore	therefore	ADV
ajst-20821	35	2	,	,	PUNCT
ajst-20821	35	3	data	datum	NOUN
ajst-20821	35	4	falling	fall	VERB
ajst-20821	35	5	outside	outside	ADP
ajst-20821	35	6	the	the	DET
ajst-20821	35	7	3σ	3σ	NUM
ajst-20821	35	8	interval	interval	NOUN
ajst-20821	35	9	can	can	AUX
ajst-20821	35	10	essentially	essentially	ADV
ajst-20821	35	11	be	be	AUX
ajst-20821	35	12	regarded	regard	VERB
ajst-20821	35	13	as	as	ADP
ajst-20821	35	14	outliers	outlier	NOUN
ajst-20821	35	15	and	and	CCONJ
ajst-20821	35	16	eliminated	eliminate	VERB
ajst-20821	35	17	.	.	PUNCT
ajst-20821	36	1	in	in	ADP
ajst-20821	36	2	the	the	DET
ajst-20821	36	3	raw	raw	ADJ
ajst-20821	36	4	data	datum	NOUN
ajst-20821	36	5	,	,	PUNCT
ajst-20821	36	6	we	we	PRON
ajst-20821	36	7	performed	perform	VERB
ajst-20821	36	8	separate	separate	ADJ
ajst-20821	36	9	counts	count	NOUN
ajst-20821	36	10	for	for	ADP
ajst-20821	36	11	merchants	merchant	NOUN
ajst-20821	36	12	,	,	PUNCT
ajst-20821	36	13	products	product	NOUN
ajst-20821	36	14	,	,	PUNCT
ajst-20821	36	15	and	and	CCONJ
ajst-20821	36	16	warehouses	warehouse	NOUN
ajst-20821	36	17	,	,	PUNCT
ajst-20821	36	18	and	and	CCONJ
ajst-20821	36	19	found	find	VERB
ajst-20821	36	20	that	that	SCONJ
ajst-20821	36	21	there	there	PRON
ajst-20821	36	22	are	be	VERB
ajst-20821	36	23	a	a	DET
ajst-20821	36	24	total	total	NOUN
ajst-20821	36	25	of	of	ADP
ajst-20821	36	26	35	35	NUM
ajst-20821	36	27	merchants	merchant	NOUN
ajst-20821	36	28	,	,	PUNCT
ajst-20821	36	29	1,212	1,212	NUM
ajst-20821	36	30	types	type	NOUN
ajst-20821	36	31	of	of	ADP
ajst-20821	36	32	products	product	NOUN
ajst-20821	36	33	,	,	PUNCT
ajst-20821	36	34	and	and	CCONJ
ajst-20821	36	35	54	54	NUM
ajst-20821	36	36	warehouses	warehouse	NOUN
ajst-20821	36	37	.	.	PUNCT
ajst-20821	37	1	the	the	DET
ajst-20821	37	2	category	category	NOUN
ajst-20821	37	3	with	with	ADP
ajst-20821	37	4	the	the	DET
ajst-20821	37	5	highest	high	ADJ
ajst-20821	37	6	total	total	ADJ
ajst-20821	37	7	demand	demand	NOUN
ajst-20821	37	8	is	be	AUX
ajst-20821	37	9	food	food	NOUN
ajst-20821	37	10	and	and	CCONJ
ajst-20821	37	11	beverages	beverage	NOUN
ajst-20821	37	12	,	,	PUNCT
ajst-20821	37	13	followed	follow	VERB
ajst-20821	37	14	by	by	ADP
ajst-20821	37	15	home	home	NOUN
ajst-20821	37	16	furnishings	furnishing	NOUN
ajst-20821	37	17	and	and	CCONJ
ajst-20821	37	18	building	building	NOUN
ajst-20821	37	19	materials	material	NOUN
ajst-20821	37	20	,	,	PUNCT
ajst-20821	37	21	with	with	ADP
ajst-20821	37	22	the	the	DET
ajst-20821	37	23	lowest	low	ADJ
ajst-20821	37	24	demand	demand	NOUN
ajst-20821	37	25	being	be	AUX
ajst-20821	37	26	in	in	ADP
ajst-20821	37	27	toys	toy	NOUN
ajst-20821	37	28	and	and	CCONJ
ajst-20821	37	29	musical	musical	ADJ
ajst-20821	37	30	instruments	instrument	NOUN
ajst-20821	37	31	.	.	PUNCT
ajst-20821	38	1	by	by	ADP
ajst-20821	38	2	using	use	VERB
ajst-20821	38	3	the	the	DET
ajst-20821	38	4	three	three	NUM
ajst-20821	38	5	major	major	ADJ
ajst-20821	38	6	dimensions	dimension	NOUN
ajst-20821	38	7	of	of	ADP
ajst-20821	38	8	different	different	ADJ
ajst-20821	38	9	merchants	merchant	NOUN
ajst-20821	38	10	,	,	PUNCT
ajst-20821	38	11	products	product	NOUN
ajst-20821	38	12	,	,	PUNCT
ajst-20821	38	13	and	and	CCONJ
ajst-20821	38	14	warehouses	warehouse	NOUN
ajst-20821	38	15	as	as	ADP
ajst-20821	38	16	classification	classification	NOUN
ajst-20821	38	17	indicators	indicator	NOUN
ajst-20821	38	18	for	for	ADP
ajst-20821	38	19	grouping	grouping	NOUN
ajst-20821	38	20	,	,	PUNCT
ajst-20821	38	21	we	we	PRON
ajst-20821	38	22	ended	end	VERB
ajst-20821	38	23	up	up	ADP
ajst-20821	38	24	with	with	ADP
ajst-20821	38	25	a	a	DET
ajst-20821	38	26	total	total	NOUN
ajst-20821	38	27	of	of	ADP
ajst-20821	38	28	1,996	1,996	NUM
ajst-20821	38	29	groups	group	NOUN
ajst-20821	38	30	.	.	PUNCT
ajst-20821	39	1	this	this	DET
ajst-20821	39	2	paper	paper	NOUN
ajst-20821	39	3	will	will	AUX
ajst-20821	39	4	select	select	VERB
ajst-20821	39	5	groups	group	NOUN
ajst-20821	39	6	with	with	ADP
ajst-20821	39	7	the	the	DET
ajst-20821	39	8	numbers	number	NOUN
ajst-20821	39	9	520	520	NUM
ajst-20821	39	10	,	,	PUNCT
ajst-20821	39	11	1119	1119	NUM
ajst-20821	39	12	,	,	PUNCT
ajst-20821	39	13	and	and	CCONJ
ajst-20821	39	14	1129	1129	NUM
ajst-20821	39	15	as	as	ADP
ajst-20821	39	16	examples	example	NOUN
ajst-20821	39	17	for	for	ADP
ajst-20821	39	18	visual	visual	ADJ
ajst-20821	39	19	presentation	presentation	NOUN
ajst-20821	39	20	as	as	SCONJ
ajst-20821	39	21	follows	follow	VERB
ajst-20821	39	22	.	.	PUNCT
ajst-20821	40	1	figure	figure	NOUN
ajst-20821	40	2	1	1	NUM
ajst-20821	40	3	.	.	NOUN
ajst-20821	40	4	time	time	PROPN
ajst-20821	40	5	series	series	PROPN
ajst-20821	40	6	charts	chart	NOUN
ajst-20821	40	7	for	for	ADP
ajst-20821	40	8	products	product	NOUN
ajst-20821	40	9	with	with	ADP
ajst-20821	40	10	groups	group	NOUN
ajst-20821	40	11	(	(	PUNCT
ajst-20821	40	12	520	520	NUM
ajst-20821	40	13	,	,	PUNCT
ajst-20821	40	14	1119	1119	NUM
ajst-20821	40	15	,	,	PUNCT
ajst-20821	40	16	1129	1129	NUM
ajst-20821	40	17	)	)	PUNCT
ajst-20821	40	18	2.2	2.2	NUM
ajst-20821	40	19	.	.	PUNCT
ajst-20821	41	1	establishment	establishment	NOUN
ajst-20821	41	2	of	of	ADP
ajst-20821	41	3	the	the	DET
ajst-20821	41	4	arima	arima	PROPN
ajst-20821	41	5	model	model	NOUN
ajst-20821	41	6	the	the	DET
ajst-20821	41	7	arima	arima	PROPN
ajst-20821	41	8	model	model	NOUN
ajst-20821	41	9	,	,	PUNCT
ajst-20821	41	10	which	which	PRON
ajst-20821	41	11	stands	stand	VERB
ajst-20821	41	12	for	for	ADP
ajst-20821	41	13	autoregressive	autoregressive	ADJ
ajst-20821	41	14	integrated	integrated	ADJ
ajst-20821	41	15	moving	move	VERB
ajst-20821	41	16	average	average	ADJ
ajst-20821	41	17	model	model	NOUN
ajst-20821	41	18	,	,	PUNCT
ajst-20821	41	19	is	be	AUX
ajst-20821	41	20	a	a	DET
ajst-20821	41	21	synthesis	synthesis	NOUN
ajst-20821	41	22	of	of	ADP
ajst-20821	41	23	three	three	NUM
ajst-20821	41	24	components	component	NOUN
ajst-20821	41	25	:	:	PUNCT
ajst-20821	41	26	autoregression	autoregression	NOUN
ajst-20821	41	27	(	(	PUNCT
ajst-20821	41	28	ar	ar	NOUN
ajst-20821	41	29	)	)	PUNCT
ajst-20821	41	30	,	,	PUNCT
ajst-20821	41	31	integration	integration	NOUN
ajst-20821	41	32	(	(	PUNCT
ajst-20821	41	33	i	i	NOUN
ajst-20821	41	34	)	)	PUNCT
ajst-20821	41	35	,	,	PUNCT
ajst-20821	41	36	and	and	CCONJ
ajst-20821	41	37	moving	move	VERB
ajst-20821	41	38	average	average	ADJ
ajst-20821	41	39	(	(	PUNCT
ajst-20821	41	40	ma	ma	PROPN
ajst-20821	41	41	)	)	PUNCT
ajst-20821	41	42	.	.	PUNCT
ajst-20821	42	1	essentially	essentially	ADV
ajst-20821	42	2	,	,	PUNCT
ajst-20821	42	3	it	it	PRON
ajst-20821	42	4	combines	combine	VERB
ajst-20821	42	5	the	the	DET
ajst-20821	42	6	predictive	predictive	ADJ
ajst-20821	42	7	power	power	NOUN
ajst-20821	42	8	of	of	ADP
ajst-20821	42	9	past	past	ADJ
ajst-20821	42	10	values	value	NOUN
ajst-20821	42	11	(	(	PUNCT
ajst-20821	42	12	autoregression	autoregression	NOUN
ajst-20821	42	13	)	)	PUNCT
ajst-20821	42	14	,	,	PUNCT
ajst-20821	42	15	differencing	difference	VERB
ajst-20821	42	16	to	to	PART
ajst-20821	42	17	make	make	VERB
ajst-20821	42	18	the	the	DET
ajst-20821	42	19	data	datum	NOUN
ajst-20821	42	20	stationary	stationary	ADJ
ajst-20821	42	21	(	(	PUNCT
ajst-20821	42	22	integration	integration	NOUN
ajst-20821	42	23	)	)	PUNCT
ajst-20821	42	24	,	,	PUNCT
ajst-20821	42	25	and	and	CCONJ
ajst-20821	42	26	smoothing	smooth	VERB
ajst-20821	42	27	out	out	ADP
ajst-20821	42	28	short	short	ADJ
ajst-20821	42	29	-	-	PUNCT
ajst-20821	42	30	term	term	NOUN
ajst-20821	42	31	fluctuations	fluctuation	NOUN
ajst-20821	42	32	(	(	PUNCT
ajst-20821	42	33	moving	move	VERB
ajst-20821	42	34	average	average	ADJ
ajst-20821	42	35	)	)	PUNCT
ajst-20821	42	36	.	.	PUNCT
ajst-20821	43	1	the	the	DET
ajst-20821	43	2	basic	basic	ADJ
ajst-20821	43	3	expression	expression	NOUN
ajst-20821	43	4	of	of	ADP
ajst-20821	43	5	the	the	DET
ajst-20821	43	6	arima	arima	PROPN
ajst-20821	43	7	model	model	NOUN
ajst-20821	43	8	can	can	AUX
ajst-20821	43	9	be	be	AUX
ajst-20821	43	10	represented	represent	VERB
ajst-20821	43	11	as	as	SCONJ
ajst-20821	43	12	follows	follow	VERB
ajst-20821	43	13	.	.	PUNCT
ajst-20821	44	1	(	(	PUNCT
ajst-20821	44	2	2	2	X
ajst-20821	44	3	)	)	PUNCT
ajst-20821	44	4	in	in	ADP
ajst-20821	44	5	the	the	DET
ajst-20821	44	6	formula	formula	NOUN
ajst-20821	44	7	,	,	PUNCT
ajst-20821	44	8	represents	represent	VERB
ajst-20821	44	9	the	the	DET
ajst-20821	44	10	time	time	NOUN
ajst-20821	44	11	series	series	PROPN
ajst-20821	44	12	data	datum	NOUN
ajst-20821	44	13	under	under	ADP
ajst-20821	44	14	consideration	consideration	NOUN
ajst-20821	44	15	,	,	PUNCT
ajst-20821	44	16	is	be	AUX
ajst-20821	44	17	the	the	DET
ajst-20821	44	18	order	order	NOUN
ajst-20821	44	19	of	of	ADP
ajst-20821	44	20	differencing	differencing	NOUN
ajst-20821	44	21	,	,	PUNCT
ajst-20821	44	22	and	and	CCONJ
ajst-20821	44	23	correspond	correspond	VERB
ajst-20821	44	24	to	to	ADP
ajst-20821	44	25	the	the	DET
ajst-20821	44	26	orders	order	NOUN
ajst-20821	44	27	of	of	ADP
ajst-20821	44	28	the	the	DET
ajst-20821	44	29	autoregressive	autoregressive	ADJ
ajst-20821	44	30	and	and	CCONJ
ajst-20821	44	31	moving	move	VERB
ajst-20821	44	32	average	average	ADJ
ajst-20821	44	33	parts	part	NOUN
ajst-20821	44	34	,	,	PUNCT
ajst-20821	44	35	respectively	respectively	ADV
ajst-20821	44	36	,	,	PUNCT
ajst-20821	44	37	and	and	CCONJ
ajst-20821	44	38	is	be	AUX
ajst-20821	44	39	a	a	DET
ajst-20821	44	40	sequence	sequence	NOUN
ajst-20821	44	41	of	of	ADP
ajst-20821	44	42	independent	independent	ADJ
ajst-20821	44	43	and	and	CCONJ
ajst-20821	44	44	identically	identically	ADV
ajst-20821	44	45	distributed	distribute	VERB
ajst-20821	44	46	white	white	ADJ
ajst-20821	44	47	noise	noise	NOUN
ajst-20821	44	48	with	with	ADP
ajst-20821	44	49	a	a	DET
ajst-20821	44	50	mean	mean	NOUN
ajst-20821	44	51	of	of	ADP
ajst-20821	44	52	zero	zero	NUM
ajst-20821	44	53	and	and	CCONJ
ajst-20821	44	54	a	a	DET
ajst-20821	44	55	constant	constant	ADJ
ajst-20821	44	56	variance	variance	NOUN
ajst-20821	44	57	.	.	PUNCT
ajst-20821	45	1	the	the	DET
ajst-20821	45	2	lag	lag	NOUN
ajst-20821	45	3	operator	operator	NOUN
ajst-20821	45	4	b	b	NOUN
ajst-20821	45	5	satisfies	satisfy	VERB
ajst-20821	45	6	the	the	DET
ajst-20821	45	7	following	follow	VERB
ajst-20821	45	8	expression	expression	NOUN
ajst-20821	45	9	.	.	PUNCT
ajst-20821	46	1	(	(	PUNCT
ajst-20821	46	2	3	3	X
ajst-20821	46	3	)	)	PUNCT
ajst-20821	46	4	(	(	PUNCT
ajst-20821	46	5	4	4	NUM
ajst-20821	46	6	)	)	PUNCT
ajst-20821	46	7	(	(	PUNCT
ajst-20821	46	8	5	5	X
ajst-20821	46	9	)	)	PUNCT
ajst-20821	46	10	the	the	DET
ajst-20821	46	11	key	key	NOUN
ajst-20821	46	12	to	to	ADP
ajst-20821	46	13	establishing	establish	VERB
ajst-20821	46	14	an	an	DET
ajst-20821	46	15	arima(p	arima(p	NOUN
ajst-20821	46	16	,	,	PUNCT
ajst-20821	46	17	d	d	NOUN
ajst-20821	46	18	,	,	PUNCT
ajst-20821	46	19	q	q	NOUN
ajst-20821	46	20	)	)	PUNCT
ajst-20821	46	21	model	model	NOUN
ajst-20821	46	22	lies	lie	VERB
ajst-20821	46	23	in	in	ADP
ajst-20821	46	24	the	the	DET
ajst-20821	46	25	selection	selection	NOUN
ajst-20821	46	26	of	of	ADP
ajst-20821	46	27	the	the	DET
ajst-20821	46	28	three	three	NUM
ajst-20821	46	29	parameters	parameter	NOUN
ajst-20821	46	30	:	:	PUNCT
ajst-20821	46	31	(	(	PUNCT
ajst-20821	46	32	p	p	X
ajst-20821	46	33	,	,	PUNCT
ajst-20821	46	34	d	d	NOUN
ajst-20821	46	35	,	,	PUNCT
ajst-20821	46	36	q	q	NOUN
ajst-20821	46	37	)	)	PUNCT
ajst-20821	46	38	.	.	PUNCT
ajst-20821	47	1	here	here	ADV
ajst-20821	47	2	,	,	PUNCT
ajst-20821	47	3	d	d	PRON
ajst-20821	47	4	represents	represent	VERB
ajst-20821	47	5	the	the	DET
ajst-20821	47	6	order	order	NOUN
ajst-20821	47	7	of	of	ADP
ajst-20821	47	8	differencing	differencing	NOUN
ajst-20821	47	9	,	,	PUNCT
ajst-20821	47	10	whose	whose	DET
ajst-20821	47	11	purpose	purpose	NOUN
ajst-20821	47	12	is	be	AUX
ajst-20821	47	13	to	to	PART
ajst-20821	47	14	transform	transform	VERB
ajst-20821	47	15	the	the	DET
ajst-20821	47	16	original	original	ADJ
ajst-20821	47	17	observational	observational	ADJ
ajst-20821	47	18	series	series	NOUN
ajst-20821	47	19	into	into	ADP
ajst-20821	47	20	a	a	DET
ajst-20821	47	21	stationary	stationary	ADJ
ajst-20821	47	22	time	time	NOUN
ajst-20821	47	23	series	series	NOUN
ajst-20821	47	24	.	.	PUNCT
ajst-20821	48	1	p	p	NOUN
ajst-20821	48	2	denotes	denote	VERB
ajst-20821	48	3	the	the	DET
ajst-20821	48	4	order	order	NOUN
ajst-20821	48	5	of	of	ADP
ajst-20821	48	6	the	the	DET
ajst-20821	48	7	ar	ar	PROPN
ajst-20821	48	8	part	part	NOUN
ajst-20821	48	9	,	,	PUNCT
ajst-20821	48	10	also	also	ADV
ajst-20821	48	11	known	know	VERB
ajst-20821	48	12	as	as	ADP
ajst-20821	48	13	the	the	DET
ajst-20821	48	14	number	number	NOUN
ajst-20821	48	15	of	of	ADP
ajst-20821	48	16	lags	lag	NOUN
ajst-20821	48	17	in	in	ADP
ajst-20821	48	18	the	the	DET
ajst-20821	48	19	autoregression	autoregression	NOUN
ajst-20821	48	20	.	.	PUNCT
ajst-20821	49	1	q	q	PUNCT
ajst-20821	49	2	signifies	signify	VERB
ajst-20821	49	3	the	the	DET
ajst-20821	49	4	order	order	NOUN
ajst-20821	49	5	of	of	ADP
ajst-20821	49	6	the	the	DET
ajst-20821	49	7	ma	ma	PROPN
ajst-20821	49	8	part	part	NOUN
ajst-20821	49	9	,	,	PUNCT
ajst-20821	49	10	which	which	PRON
ajst-20821	49	11	is	be	AUX
ajst-20821	49	12	the	the	DET
ajst-20821	49	13	number	number	NOUN
ajst-20821	49	14	of	of	ADP
ajst-20821	49	15	lags	lag	NOUN
ajst-20821	49	16	for	for	ADP
ajst-20821	49	17	the	the	DET
ajst-20821	49	18	moving	move	VERB
ajst-20821	49	19	average	average	NOUN
ajst-20821	49	20	.	.	PUNCT
ajst-20821	50	1	the	the	DET
ajst-20821	50	2	crux	crux	NOUN
ajst-20821	50	3	of	of	ADP
ajst-20821	50	4	the	the	DET
ajst-20821	50	5	arima	arima	PROPN
ajst-20821	50	6	model	model	NOUN
ajst-20821	50	7	is	be	AUX
ajst-20821	50	8	to	to	PART
ajst-20821	50	9	determine	determine	VERB
ajst-20821	50	10	these	these	DET
ajst-20821	50	11	three	three	NUM
ajst-20821	50	12	parameters	parameter	NOUN
ajst-20821	50	13	(	(	PUNCT
ajst-20821	50	14	p	p	X
ajst-20821	50	15	,	,	PUNCT
ajst-20821	50	16	d	d	NOUN
ajst-20821	50	17	,	,	PUNCT
ajst-20821	50	18	q	q	NOUN
ajst-20821	50	19	)	)	PUNCT
ajst-20821	50	20	,	,	PUNCT
ajst-20821	50	21	with	with	ADP
ajst-20821	50	22	d	d	ADP
ajst-20821	50	23	being	be	AUX
ajst-20821	50	24	the	the	DET
ajst-20821	50	25	order	order	NOUN
ajst-20821	50	26	of	of	ADP
ajst-20821	50	27	differencing	differencing	NOUN
ajst-20821	50	28	required	require	VERB
ajst-20821	50	29	to	to	PART
ajst-20821	50	30	achieve	achieve	VERB
ajst-20821	50	31	stationarity	stationarity	NOUN
ajst-20821	50	32	.	.	PUNCT
ajst-20821	51	1	through	through	ADP
ajst-20821	51	2	the	the	DET
ajst-20821	51	3	process	process	NOUN
ajst-20821	51	4	of	of	ADP
ajst-20821	51	5	differencing	differencing	NOUN
ajst-20821	51	6	,	,	PUNCT
ajst-20821	51	7	the	the	DET
ajst-20821	51	8	arima	arima	PROPN
ajst-20821	51	9	model	model	NOUN
ajst-20821	51	10	converts	convert	VERB
ajst-20821	51	11	the	the	DET
ajst-20821	51	12	data	datum	NOUN
ajst-20821	51	13	to	to	PART
ajst-20821	51	14	be	be	AUX
ajst-20821	51	15	more	more	ADV
ajst-20821	51	16	stationary	stationary	ADJ
ajst-20821	51	17	and	and	CCONJ
ajst-20821	51	18	then	then	ADV
ajst-20821	51	19	constructs	construct	VERB
ajst-20821	51	20	a	a	DET
ajst-20821	51	21	model	model	NOUN
ajst-20821	51	22	that	that	PRON
ajst-20821	51	23	regresses	regress	VERB
ajst-20821	51	24	the	the	DET
ajst-20821	51	25	lagged	lag	VERB
ajst-20821	51	26	terms	term	NOUN
ajst-20821	51	27	of	of	ADP
ajst-20821	51	28	the	the	DET
ajst-20821	51	29	dependent	dependent	ADJ
ajst-20821	51	30	variable	variable	NOUN
ajst-20821	51	31	and	and	CCONJ
ajst-20821	51	32	the	the	DET
ajst-20821	51	33	current	current	ADJ
ajst-20821	51	34	and	and	CCONJ
ajst-20821	51	35	lagged	lag	VERB
ajst-20821	51	36	values	value	NOUN
ajst-20821	51	37	of	of	ADP
ajst-20821	51	38	the	the	DET
ajst-20821	51	39	random	random	ADJ
ajst-20821	51	40	error	error	NOUN
ajst-20821	51	41	term	term	NOUN
ajst-20821	51	42	.	.	PUNCT
ajst-20821	52	1	in	in	ADP
ajst-20821	52	2	the	the	DET
ajst-20821	52	3	formula	formula	NOUN
ajst-20821	52	4	,	,	PUNCT
ajst-20821	52	5	and	and	CCONJ
ajst-20821	52	6	are	be	AUX
ajst-20821	52	7	multivariate	multivariate	NOUN
ajst-20821	52	8	228	228	NUM
ajst-20821	52	9	linear	linear	ADJ
ajst-20821	52	10	functions	function	NOUN
ajst-20821	52	11	of	of	ADP
ajst-20821	52	12	the	the	DET
ajst-20821	52	13	lags	lag	NOUN
ajst-20821	52	14	up	up	ADP
ajst-20821	52	15	to	to	ADP
ajst-20821	52	16	p	p	NOUN
ajst-20821	52	17	and	and	CCONJ
ajst-20821	52	18	q	q	NOUN
ajst-20821	52	19	periods	period	NOUN
ajst-20821	52	20	,	,	PUNCT
ajst-20821	52	21	respectively	respectively	ADV
ajst-20821	52	22	,	,	PUNCT
ajst-20821	52	23	and	and	CCONJ
ajst-20821	52	24	is	be	AUX
ajst-20821	52	25	an	an	DET
ajst-20821	52	26	independent	independent	ADJ
ajst-20821	52	27	and	and	CCONJ
ajst-20821	52	28	identically	identically	ADV
ajst-20821	52	29	distributed	distribute	VERB
ajst-20821	52	30	white	white	ADJ
ajst-20821	52	31	noise	noise	NOUN
ajst-20821	52	32	sequence	sequence	NOUN
ajst-20821	52	33	with	with	ADP
ajst-20821	52	34	a	a	DET
ajst-20821	52	35	mean	mean	NOUN
ajst-20821	52	36	of	of	ADP
ajst-20821	52	37	zero	zero	NUM
ajst-20821	52	38	and	and	CCONJ
ajst-20821	52	39	a	a	DET
ajst-20821	52	40	constant	constant	ADJ
ajst-20821	52	41	variance	variance	NOUN
ajst-20821	52	42	.	.	PUNCT
ajst-20821	53	1	the	the	DET
ajst-20821	53	2	differencing	differencing	NOUN
ajst-20821	53	3	performed	perform	VERB
ajst-20821	53	4	to	to	PART
ajst-20821	53	5	achieve	achieve	VERB
ajst-20821	53	6	stationarity	stationarity	NOUN
ajst-20821	53	7	is	be	AUX
ajst-20821	53	8	typically	typically	ADV
ajst-20821	53	9	of	of	ADP
ajst-20821	53	10	the	the	DET
ajst-20821	53	11	first	first	ADJ
ajst-20821	53	12	order	order	NOUN
ajst-20821	53	13	.	.	PUNCT
ajst-20821	54	1	in	in	ADP
ajst-20821	54	2	the	the	DET
ajst-20821	54	3	case	case	NOUN
ajst-20821	54	4	of	of	ADP
ajst-20821	54	5	less	less	ADJ
ajst-20821	54	6	model	model	NOUN
ajst-20821	54	7	data	data	PROPN
ajst-20821	54	8	,	,	PUNCT
ajst-20821	54	9	bic	bic	PROPN
ajst-20821	54	10	,	,	PUNCT
ajst-20821	54	11	aic	aic	PROPN
ajst-20821	54	12	or	or	CCONJ
ajst-20821	54	13	autocorrelation	autocorrelation	NOUN
ajst-20821	54	14	graph	graph	NOUN
ajst-20821	54	15	is	be	AUX
ajst-20821	54	16	generally	generally	ADV
ajst-20821	54	17	used	use	VERB
ajst-20821	54	18	to	to	PART
ajst-20821	54	19	select	select	VERB
ajst-20821	54	20	p	p	NOUN
ajst-20821	54	21	and	and	CCONJ
ajst-20821	54	22	q	q	PROPN
ajst-20821	54	23	values	value	NOUN
ajst-20821	54	24	in	in	ADP
ajst-20821	54	25	arma	arma	PROPN
ajst-20821	54	26	respectively	respectively	ADV
ajst-20821	54	27	.	.	PUNCT
ajst-20821	55	1	first	first	ADV
ajst-20821	55	2	,	,	PUNCT
ajst-20821	55	3	this	this	DET
ajst-20821	55	4	paper	paper	NOUN
ajst-20821	55	5	selects	select	VERB
ajst-20821	55	6	the	the	DET
ajst-20821	55	7	arima	arima	PROPN
ajst-20821	55	8	model	model	NOUN
ajst-20821	55	9	to	to	PART
ajst-20821	55	10	predict	predict	VERB
ajst-20821	55	11	seller_19	seller_19	PROPN
ajst-20821	55	12	,	,	PUNCT
ajst-20821	55	13	product_448	product_448	ADP
ajst-20821	55	14	and	and	CCONJ
ajst-20821	55	15	wh_30	wh_30	PROPN
ajst-20821	55	16	products	product	NOUN
ajst-20821	55	17	.	.	PUNCT
ajst-20821	56	1	the	the	DET
ajst-20821	56	2	results	result	NOUN
ajst-20821	56	3	of	of	ADP
ajst-20821	56	4	some	some	DET
ajst-20821	56	5	models	model	NOUN
ajst-20821	56	6	in	in	ADP
ajst-20821	56	7	group	group	NOUN
ajst-20821	56	8	1996	1996	NUM
ajst-20821	56	9	are	be	AUX
ajst-20821	56	10	shown	show	VERB
ajst-20821	56	11	as	as	SCONJ
ajst-20821	56	12	follows	follow	VERB
ajst-20821	56	13	.	.	PUNCT
ajst-20821	57	1	figure	figure	NOUN
ajst-20821	57	2	2	2	NUM
ajst-20821	57	3	.	.	PUNCT
ajst-20821	58	1	the	the	DET
ajst-20821	58	2	result	result	NOUN
ajst-20821	58	3	of	of	ADP
ajst-20821	58	4	selecting	select	VERB
ajst-20821	58	5	a	a	DET
ajst-20821	58	6	product	product	NOUN
ajst-20821	58	7	to	to	PART
ajst-20821	58	8	predict	predict	VERB
ajst-20821	58	9	since	since	SCONJ
ajst-20821	58	10	there	there	PRON
ajst-20821	58	11	are	be	VERB
ajst-20821	58	12	1996	1996	NUM
ajst-20821	58	13	sets	set	NOUN
ajst-20821	58	14	of	of	ADP
ajst-20821	58	15	data	datum	NOUN
ajst-20821	58	16	in	in	ADP
ajst-20821	58	17	this	this	DET
ajst-20821	58	18	paper	paper	NOUN
ajst-20821	58	19	,	,	PUNCT
ajst-20821	58	20	considering	consider	VERB
ajst-20821	58	21	the	the	DET
ajst-20821	58	22	complexity	complexity	NOUN
ajst-20821	58	23	of	of	ADP
ajst-20821	58	24	data	datum	NOUN
ajst-20821	58	25	and	and	CCONJ
ajst-20821	58	26	the	the	DET
ajst-20821	58	27	efficiency	efficiency	NOUN
ajst-20821	58	28	of	of	ADP
ajst-20821	58	29	parameter	parameter	NOUN
ajst-20821	58	30	solving	solving	NOUN
ajst-20821	58	31	,	,	PUNCT
ajst-20821	58	32	this	this	DET
ajst-20821	58	33	paper	paper	NOUN
ajst-20821	58	34	selects	select	VERB
ajst-20821	58	35	the	the	DET
ajst-20821	58	36	optimization	optimization	NOUN
ajst-20821	58	37	function	function	VERB
ajst-20821	58	38	auto	auto	NOUN
ajst-20821	58	39	-	-	PUNCT
ajst-20821	58	40	arima	arima	NOUN
ajst-20821	58	41	to	to	PART
ajst-20821	58	42	search	search	VERB
ajst-20821	58	43	for	for	ADP
ajst-20821	58	44	parameters	parameter	NOUN
ajst-20821	58	45	.	.	PUNCT
ajst-20821	59	1	since	since	SCONJ
ajst-20821	59	2	there	there	PRON
ajst-20821	59	3	are	be	VERB
ajst-20821	59	4	1996	1996	NUM
ajst-20821	59	5	sets	set	NOUN
ajst-20821	59	6	of	of	ADP
ajst-20821	59	7	data	datum	NOUN
ajst-20821	59	8	in	in	ADP
ajst-20821	59	9	this	this	DET
ajst-20821	59	10	paper	paper	NOUN
ajst-20821	59	11	,	,	PUNCT
ajst-20821	59	12	considering	consider	VERB
ajst-20821	59	13	the	the	DET
ajst-20821	59	14	complexity	complexity	NOUN
ajst-20821	59	15	of	of	ADP
ajst-20821	59	16	data	datum	NOUN
ajst-20821	59	17	and	and	CCONJ
ajst-20821	59	18	the	the	DET
ajst-20821	59	19	efficiency	efficiency	NOUN
ajst-20821	59	20	of	of	ADP
ajst-20821	59	21	parameter	parameter	NOUN
ajst-20821	59	22	solving	solving	NOUN
ajst-20821	59	23	,	,	PUNCT
ajst-20821	59	24	this	this	DET
ajst-20821	59	25	paper	paper	NOUN
ajst-20821	59	26	selects	select	VERB
ajst-20821	59	27	the	the	DET
ajst-20821	59	28	optimization	optimization	NOUN
ajst-20821	59	29	function	function	VERB
ajst-20821	59	30	auto	auto	NOUN
ajst-20821	59	31	-	-	PUNCT
ajst-20821	59	32	arima	arima	NOUN
ajst-20821	59	33	to	to	PART
ajst-20821	59	34	search	search	VERB
ajst-20821	59	35	for	for	ADP
ajst-20821	59	36	parameters	parameter	NOUN
ajst-20821	59	37	.	.	PUNCT
ajst-20821	60	1	the	the	DET
ajst-20821	60	2	average	average	ADJ
ajst-20821	60	3	wmape	wmape	NOUN
ajst-20821	60	4	of	of	ADP
ajst-20821	60	5	the	the	DET
ajst-20821	60	6	three	three	NUM
ajst-20821	60	7	groups	group	NOUN
ajst-20821	60	8	is	be	AUX
ajst-20821	60	9	0.6142	0.6142	NUM
ajst-20821	60	10	,	,	PUNCT
ajst-20821	60	11	so	so	SCONJ
ajst-20821	60	12	it	it	PRON
ajst-20821	60	13	needs	need	VERB
ajst-20821	60	14	to	to	PART
ajst-20821	60	15	be	be	AUX
ajst-20821	60	16	improved	improve	VERB
ajst-20821	60	17	.	.	PUNCT
ajst-20821	61	1	2.3	2.3	NUM
ajst-20821	61	2	.	.	PUNCT
ajst-20821	61	3	establishment	establishment	NOUN
ajst-20821	61	4	of	of	ADP
ajst-20821	61	5	lr	lr	NOUN
ajst-20821	61	6	model	model	NOUN
ajst-20821	61	7	in	in	ADP
ajst-20821	61	8	order	order	NOUN
ajst-20821	61	9	to	to	PART
ajst-20821	61	10	predict	predict	VERB
ajst-20821	61	11	the	the	DET
ajst-20821	61	12	trend	trend	NOUN
ajst-20821	61	13	of	of	ADP
ajst-20821	61	14	demand	demand	NOUN
ajst-20821	61	15	this	this	DET
ajst-20821	61	16	month	month	NOUN
ajst-20821	61	17	,	,	PUNCT
ajst-20821	61	18	this	this	DET
ajst-20821	61	19	paper	paper	NOUN
ajst-20821	61	20	constructs	construct	VERB
ajst-20821	61	21	the	the	DET
ajst-20821	61	22	following	follow	VERB
ajst-20821	61	23	regression	regression	NOUN
ajst-20821	61	24	model	model	NOUN
ajst-20821	61	25	.	.	PUNCT
ajst-20821	62	1	(	(	PUNCT
ajst-20821	62	2	6	6	NUM
ajst-20821	62	3	)	)	PUNCT
ajst-20821	62	4	(	(	PUNCT
ajst-20821	62	5	7	7	NUM
ajst-20821	62	6	)	)	PUNCT
ajst-20821	62	7	(	(	PUNCT
ajst-20821	62	8	8)	8)	NUM
ajst-20821	62	9	where	where	SCONJ
ajst-20821	62	10	is	be	AUX
ajst-20821	62	11	the	the	DET
ajst-20821	62	12	quantity	quantity	NOUN
ajst-20821	62	13	demanded	demand	VERB
ajst-20821	62	14	and	and	CCONJ
ajst-20821	62	15	is	be	AUX
ajst-20821	62	16	the	the	DET
ajst-20821	62	17	date	date	NOUN
ajst-20821	62	18	.	.	PUNCT
ajst-20821	63	1	after	after	ADP
ajst-20821	63	2	calculating	calculate	VERB
ajst-20821	63	3	each	each	DET
ajst-20821	63	4	parameter	parameter	NOUN
ajst-20821	63	5	in	in	ADP
ajst-20821	63	6	the	the	DET
ajst-20821	63	7	regression	regression	NOUN
ajst-20821	63	8	model	model	NOUN
ajst-20821	63	9	,	,	PUNCT
ajst-20821	63	10	the	the	DET
ajst-20821	63	11	predicted	predict	VERB
ajst-20821	63	12	value	value	NOUN
ajst-20821	63	13	of	of	ADP
ajst-20821	63	14	demand	demand	NOUN
ajst-20821	63	15	in	in	ADP
ajst-20821	63	16	the	the	DET
ajst-20821	63	17	t+n	t+n	NUM
ajst-20821	63	18	period	period	NOUN
ajst-20821	63	19	can	can	AUX
ajst-20821	63	20	be	be	AUX
ajst-20821	63	21	calculated	calculate	VERB
ajst-20821	63	22	by	by	ADP
ajst-20821	63	23	the	the	DET
ajst-20821	63	24	following	follow	VERB
ajst-20821	63	25	formula	formula	NOUN
ajst-20821	63	26	.	.	PUNCT
ajst-20821	64	1	(	(	PUNCT
ajst-20821	64	2	9	9	NUM
ajst-20821	64	3	)	)	PUNCT
ajst-20821	64	4	according	accord	VERB
ajst-20821	64	5	to	to	ADP
ajst-20821	64	6	the	the	DET
ajst-20821	64	7	predicted	predict	VERB
ajst-20821	64	8	results	result	NOUN
ajst-20821	64	9	,	,	PUNCT
ajst-20821	64	10	lr	lr	NOUN
ajst-20821	64	11	model	model	NOUN
ajst-20821	64	12	is	be	AUX
ajst-20821	64	13	more	more	ADV
ajst-20821	64	14	sensitive	sensitive	ADJ
ajst-20821	64	15	to	to	ADP
ajst-20821	64	16	data	datum	NOUN
ajst-20821	64	17	volatility	volatility	NOUN
ajst-20821	64	18	,	,	PUNCT
ajst-20821	64	19	which	which	PRON
ajst-20821	64	20	can	can	AUX
ajst-20821	64	21	better	well	ADV
ajst-20821	64	22	reflect	reflect	VERB
ajst-20821	64	23	the	the	DET
ajst-20821	64	24	linearity	linearity	NOUN
ajst-20821	64	25	of	of	ADP
ajst-20821	64	26	data	datum	NOUN
ajst-20821	64	27	,	,	PUNCT
ajst-20821	64	28	but	but	CCONJ
ajst-20821	64	29	it	it	PRON
ajst-20821	64	30	is	be	AUX
ajst-20821	64	31	difficult	difficult	ADJ
ajst-20821	64	32	to	to	PART
ajst-20821	64	33	accurately	accurately	ADV
ajst-20821	64	34	represent	represent	VERB
ajst-20821	64	35	the	the	DET
ajst-20821	64	36	volatility	volatility	NOUN
ajst-20821	64	37	of	of	ADP
ajst-20821	64	38	different	different	ADJ
ajst-20821	64	39	cycles	cycle	NOUN
ajst-20821	64	40	.	.	PUNCT
ajst-20821	65	1	therefore	therefore	ADV
ajst-20821	65	2	,	,	PUNCT
ajst-20821	65	3	the	the	DET
ajst-20821	65	4	model	model	NOUN
ajst-20821	65	5	is	be	AUX
ajst-20821	65	6	improved	improve	VERB
ajst-20821	65	7	below	below	ADV
ajst-20821	65	8	.	.	PUNCT
ajst-20821	66	1	2.4	2.4	NUM
ajst-20821	66	2	.	.	PUNCT
ajst-20821	66	3	establishment	establishment	NOUN
ajst-20821	66	4	of	of	ADP
ajst-20821	66	5	sarima	sarima	NOUN
ajst-20821	66	6	model	model	PROPN
ajst-20821	66	7	sarima	sarima	NOUN
ajst-20821	66	8	model	model	NOUN
ajst-20821	66	9	is	be	AUX
ajst-20821	66	10	an	an	DET
ajst-20821	66	11	improved	improved	ADJ
ajst-20821	66	12	version	version	NOUN
ajst-20821	66	13	of	of	ADP
ajst-20821	66	14	arima	arima	PROPN
ajst-20821	66	15	model	model	NOUN
ajst-20821	66	16	,	,	PUNCT
ajst-20821	66	17	which	which	PRON
ajst-20821	66	18	can	can	AUX
ajst-20821	66	19	predict	predict	VERB
ajst-20821	66	20	periodic	periodic	ADJ
ajst-20821	66	21	time	time	NOUN
ajst-20821	66	22	series	series	NOUN
ajst-20821	66	23	data	datum	NOUN
ajst-20821	66	24	more	more	ADV
ajst-20821	66	25	scientifically	scientifically	ADV
ajst-20821	66	26	and	and	CCONJ
ajst-20821	66	27	reasonably	reasonably	ADV
ajst-20821	66	28	,	,	PUNCT
ajst-20821	66	29	while	while	SCONJ
ajst-20821	66	30	commodity	commodity	NOUN
ajst-20821	66	31	demand	demand	NOUN
ajst-20821	66	32	has	have	VERB
ajst-20821	66	33	certain	certain	ADJ
ajst-20821	66	34	periodic	periodic	ADJ
ajst-20821	66	35	characteristics	characteristic	NOUN
ajst-20821	66	36	.	.	PUNCT
ajst-20821	67	1	the	the	DET
ajst-20821	67	2	sarima	sarima	NOUN
ajst-20821	67	3	model	model	NOUN
ajst-20821	67	4	performs	perform	VERB
ajst-20821	67	5	period	period	NOUN
ajst-20821	67	6	-	-	PUNCT
ajst-20821	67	7	based	base	VERB
ajst-20821	67	8	seasonal	seasonal	ADJ
ajst-20821	67	9	differences	difference	NOUN
ajst-20821	67	10	on	on	ADP
ajst-20821	67	11	the	the	DET
ajst-20821	67	12	arima	arima	PROPN
ajst-20821	67	13	model	model	NOUN
ajst-20821	67	14	,	,	PUNCT
ajst-20821	67	15	and	and	CCONJ
ajst-20821	67	16	its	its	PRON
ajst-20821	67	17	expression	expression	NOUN
ajst-20821	67	18	is	be	AUX
ajst-20821	67	19	as	as	SCONJ
ajst-20821	67	20	follows	follow	VERB
ajst-20821	67	21	.	.	PUNCT
ajst-20821	68	1	(	(	PUNCT
ajst-20821	68	2	10	10	NUM
ajst-20821	68	3	)	)	PUNCT
ajst-20821	68	4	where	where	SCONJ
ajst-20821	68	5	p	p	NOUN
ajst-20821	68	6	is	be	AUX
ajst-20821	68	7	the	the	DET
ajst-20821	68	8	order	order	NOUN
ajst-20821	68	9	of	of	ADP
ajst-20821	68	10	seasonal	seasonal	ADJ
ajst-20821	68	11	autoregression	autoregression	NOUN
ajst-20821	68	12	,	,	PUNCT
ajst-20821	68	13	q	q	PUNCT
ajst-20821	68	14	is	be	AUX
ajst-20821	68	15	the	the	DET
ajst-20821	68	16	order	order	NOUN
ajst-20821	68	17	of	of	ADP
ajst-20821	68	18	seasonal	seasonal	ADJ
ajst-20821	68	19	shift	shift	NOUN
ajst-20821	68	20	average	average	NOUN
ajst-20821	68	21	,	,	PUNCT
ajst-20821	68	22	represents	represent	VERB
ajst-20821	68	23	d	d	NOUN
ajst-20821	68	24	-	-	PUNCT
ajst-20821	68	25	order	order	NOUN
ajst-20821	68	26	phase	phase	NOUN
ajst-20821	68	27	by	by	ADP
ajst-20821	68	28	phase	phase	NOUN
ajst-20821	68	29	difference	difference	NOUN
ajst-20821	68	30	,	,	PUNCT
ajst-20821	68	31	represents	represent	VERB
ajst-20821	68	32	d	d	NOUN
ajst-20821	68	33	-	-	PUNCT
ajst-20821	68	34	order	order	NOUN
ajst-20821	68	35	seasonal	seasonal	ADJ
ajst-20821	68	36	difference	difference	NOUN
ajst-20821	68	37	,	,	PUNCT
ajst-20821	68	38	and	and	CCONJ
ajst-20821	68	39	are	be	AUX
ajst-20821	68	40	p	p	ADJ
ajst-20821	68	41	-	-	PUNCT
ajst-20821	68	42	order	order	NOUN
ajst-20821	68	43	autoregressive	autoregressive	ADJ
ajst-20821	68	44	operators	operator	NOUN
ajst-20821	68	45	and	and	CCONJ
ajst-20821	68	46	q	q	ADJ
ajst-20821	68	47	-	-	PUNCT
ajst-20821	68	48	order	order	NOUN
ajst-20821	68	49	moving	move	VERB
ajst-20821	68	50	average	average	ADJ
ajst-20821	68	51	operators	operator	NOUN
ajst-20821	68	52	.	.	PUNCT
ajst-20821	69	1	in	in	ADP
ajst-20821	69	2	this	this	DET
ajst-20821	69	3	paper	paper	NOUN
ajst-20821	69	4	,	,	PUNCT
ajst-20821	69	5	the	the	DET
ajst-20821	69	6	optimization	optimization	NOUN
ajst-20821	69	7	function	function	VERB
ajst-20821	69	8	auto	auto	NOUN
ajst-20821	69	9	-	-	PUNCT
ajst-20821	69	10	arima	arima	PROPN
ajst-20821	69	11	is	be	AUX
ajst-20821	69	12	selected	select	VERB
ajst-20821	69	13	to	to	PART
ajst-20821	69	14	search	search	VERB
ajst-20821	69	15	for	for	ADP
ajst-20821	69	16	parameters	parameter	NOUN
ajst-20821	69	17	.	.	PUNCT
ajst-20821	70	1	the	the	DET
ajst-20821	70	2	following	follow	VERB
ajst-20821	70	3	is	be	AUX
ajst-20821	70	4	the	the	DET
ajst-20821	70	5	result	result	NOUN
ajst-20821	70	6	after	after	ADP
ajst-20821	70	7	selecting	select	VERB
ajst-20821	70	8	part	part	NOUN
ajst-20821	70	9	of	of	ADP
ajst-20821	70	10	the	the	DET
ajst-20821	70	11	1996	1996	NUM
ajst-20821	70	12	group	group	NOUN
ajst-20821	70	13	(	(	PUNCT
ajst-20821	70	14	520,1129	520,1129	NUM
ajst-20821	70	15	)	)	PUNCT
ajst-20821	70	16	for	for	ADP
ajst-20821	70	17	prediction	prediction	NOUN
ajst-20821	70	18	and	and	CCONJ
ajst-20821	70	19	fitting	fitting	ADJ
ajst-20821	70	20	.	.	PUNCT
ajst-20821	71	1	figure	figure	NOUN
ajst-20821	71	2	3	3	NUM
ajst-20821	71	3	.	.	PUNCT
ajst-20821	72	1	n0.520	n0.520	ADJ
ajst-20821	72	2	product	product	NOUN
ajst-20821	72	3	fitting	fitting	ADJ
ajst-20821	72	4	forecast	forecast	NOUN
ajst-20821	72	5	results	result	VERB
ajst-20821	72	6	it	it	PRON
ajst-20821	72	7	can	can	AUX
ajst-20821	72	8	be	be	AUX
ajst-20821	72	9	preliminatively	preliminatively	ADV
ajst-20821	72	10	concluded	conclude	VERB
ajst-20821	72	11	from	from	ADP
ajst-20821	72	12	the	the	DET
ajst-20821	72	13	wmaped	wmaped	ADJ
ajst-20821	72	14	index	index	NOUN
ajst-20821	72	15	of	of	ADP
ajst-20821	72	16	group	group	NOUN
ajst-20821	72	17	520	520	NUM
ajst-20821	72	18	commodities	commodity	NOUN
ajst-20821	72	19	that	that	PRON
ajst-20821	72	20	the	the	DET
ajst-20821	72	21	sarima	sarima	NOUN
ajst-20821	72	22	model	model	NOUN
ajst-20821	72	23	has	have	VERB
ajst-20821	72	24	a	a	DET
ajst-20821	72	25	better	well	ADJ
ajst-20821	72	26	fit	fit	ADJ
ajst-20821	72	27	than	than	ADP
ajst-20821	72	28	the	the	DET
ajst-20821	72	29	arima	arima	PROPN
ajst-20821	72	30	model	model	NOUN
ajst-20821	72	31	.	.	PUNCT
ajst-20821	73	1	similarly	similarly	ADV
ajst-20821	73	2	,	,	PUNCT
ajst-20821	73	3	select	select	VERB
ajst-20821	73	4	1129	1129	NUM
ajst-20821	73	5	data	datum	NOUN
ajst-20821	73	6	for	for	ADP
ajst-20821	73	7	viewing	view	VERB
ajst-20821	73	8	.	.	PUNCT
ajst-20821	74	1	229	229	NUM
ajst-20821	74	2	figure	figure	NOUN
ajst-20821	74	3	4	4	NUM
ajst-20821	74	4	.	.	PUNCT
ajst-20821	75	1	n0.1129	n0.1129	PROPN
ajst-20821	75	2	product	product	NOUN
ajst-20821	75	3	fitting	fitting	ADJ
ajst-20821	75	4	forecast	forecast	NOUN
ajst-20821	75	5	results	result	VERB
ajst-20821	75	6	it	it	PRON
ajst-20821	75	7	can	can	AUX
ajst-20821	75	8	be	be	AUX
ajst-20821	75	9	intuitively	intuitively	ADV
ajst-20821	75	10	seen	see	VERB
ajst-20821	75	11	from	from	ADP
ajst-20821	75	12	the	the	DET
ajst-20821	75	13	figures	figure	NOUN
ajst-20821	75	14	of	of	ADP
ajst-20821	75	15	the	the	DET
ajst-20821	75	16	above	above	ADJ
ajst-20821	75	17	two	two	NUM
ajst-20821	75	18	groups	group	NOUN
ajst-20821	75	19	that	that	PRON
ajst-20821	75	20	,	,	PUNCT
ajst-20821	75	21	compared	compare	VERB
ajst-20821	75	22	with	with	ADP
ajst-20821	75	23	the	the	DET
ajst-20821	75	24	arima	arima	PROPN
ajst-20821	75	25	model	model	NOUN
ajst-20821	75	26	,	,	PUNCT
ajst-20821	75	27	samrima	samrima	PROPN
ajst-20821	75	28	had	have	VERB
ajst-20821	75	29	higher	high	ADJ
ajst-20821	75	30	curve	curve	NOUN
ajst-20821	75	31	overlap	overlap	NOUN
ajst-20821	75	32	when	when	SCONJ
ajst-20821	75	33	fitting	fitting	ADJ
ajst-20821	75	34	based	base	VERB
ajst-20821	75	35	on	on	ADP
ajst-20821	75	36	known	known	ADJ
ajst-20821	75	37	data	datum	NOUN
ajst-20821	75	38	,	,	PUNCT
ajst-20821	75	39	and	and	CCONJ
ajst-20821	75	40	the	the	DET
ajst-20821	75	41	average	average	ADJ
ajst-20821	75	42	wmape	wmape	NOUN
ajst-20821	75	43	value	value	NOUN
ajst-20821	75	44	was	be	AUX
ajst-20821	75	45	0.6444	0.6444	NUM
ajst-20821	75	46	.	.	PUNCT
ajst-20821	76	1	therefore	therefore	ADV
ajst-20821	76	2	,	,	PUNCT
ajst-20821	76	3	the	the	DET
ajst-20821	76	4	sarima	sarima	NOUN
ajst-20821	76	5	model	model	NOUN
ajst-20821	76	6	was	be	AUX
ajst-20821	76	7	chosen	choose	VERB
ajst-20821	76	8	as	as	ADP
ajst-20821	76	9	the	the	DET
ajst-20821	76	10	data	data	NOUN
ajst-20821	76	11	prediction	prediction	NOUN
ajst-20821	76	12	model	model	NOUN
ajst-20821	76	13	.	.	PUNCT
ajst-20821	77	1	3	3	X
ajst-20821	77	2	.	.	X
ajst-20821	77	3	demand	demand	NOUN
ajst-20821	77	4	forecasting	forecasting	NOUN
ajst-20821	77	5	and	and	CCONJ
ajst-20821	77	6	clustering	cluster	VERB
ajst-20821	77	7	analysis	analysis	NOUN
ajst-20821	77	8	3.1	3.1	NUM
ajst-20821	77	9	.	.	PUNCT
ajst-20821	78	1	evaluation	evaluation	NOUN
ajst-20821	78	2	of	of	ADP
ajst-20821	78	3	forecasting	forecasting	NOUN
ajst-20821	78	4	results	result	NOUN
ajst-20821	78	5	in	in	ADP
ajst-20821	78	6	this	this	DET
ajst-20821	78	7	paper	paper	NOUN
ajst-20821	78	8	,	,	PUNCT
ajst-20821	78	9	1	1	NUM
ajst-20821	78	10	-	-	PUNCT
ajst-20821	78	11	wmape	wmape	NOUN
ajst-20821	78	12	index	index	NOUN
ajst-20821	78	13	and	and	CCONJ
ajst-20821	78	14	rmse	rmse	ADJ
ajst-20821	78	15	index	index	NOUN
ajst-20821	78	16	are	be	AUX
ajst-20821	78	17	used	use	VERB
ajst-20821	78	18	to	to	PART
ajst-20821	78	19	evaluate	evaluate	VERB
ajst-20821	78	20	the	the	DET
ajst-20821	78	21	accuracy	accuracy	NOUN
ajst-20821	78	22	of	of	ADP
ajst-20821	78	23	the	the	DET
ajst-20821	78	24	three	three	NUM
ajst-20821	78	25	models	model	NOUN
ajst-20821	78	26	.	.	PUNCT
ajst-20821	79	1	in	in	ADP
ajst-20821	79	2	this	this	DET
ajst-20821	79	3	paper	paper	NOUN
ajst-20821	79	4	,	,	PUNCT
ajst-20821	79	5	the	the	DET
ajst-20821	79	6	average	average	ADJ
ajst-20821	79	7	value	value	NOUN
ajst-20821	79	8	of	of	ADP
ajst-20821	79	9	the	the	DET
ajst-20821	79	10	1996	1996	NUM
ajst-20821	79	11	group	group	NOUN
ajst-20821	79	12	of	of	ADP
ajst-20821	79	13	models	model	NOUN
ajst-20821	79	14	is	be	AUX
ajst-20821	79	15	taken	take	VERB
ajst-20821	79	16	as	as	ADP
ajst-20821	79	17	the	the	DET
ajst-20821	79	18	final	final	ADJ
ajst-20821	79	19	reference	reference	NOUN
ajst-20821	79	20	,	,	PUNCT
ajst-20821	79	21	and	and	CCONJ
ajst-20821	79	22	the	the	DET
ajst-20821	79	23	results	result	NOUN
ajst-20821	79	24	are	be	AUX
ajst-20821	79	25	as	as	ADP
ajst-20821	79	26	table	table	NOUN
ajst-20821	79	27	1	1	NUM
ajst-20821	79	28	.	.	PUNCT
ajst-20821	79	29	table	table	NOUN
ajst-20821	79	30	1	1	NUM
ajst-20821	79	31	.	.	PUNCT
ajst-20821	79	32	evaluation	evaluation	NOUN
ajst-20821	79	33	index	index	NOUN
ajst-20821	79	34	value	value	NOUN
ajst-20821	79	35	of	of	ADP
ajst-20821	79	36	each	each	DET
ajst-20821	79	37	model	model	NOUN
ajst-20821	79	38	model	model	NOUN
ajst-20821	79	39	1	1	NUM
ajst-20821	79	40	-	-	PUNCT
ajst-20821	79	41	wmape	wmape	NOUN
ajst-20821	79	42	rmse	rmse	NOUN
ajst-20821	79	43	lr	lr	AUX
ajst-20821	79	44	1	1	NUM
ajst-20821	79	45	-	-	NUM
ajst-20821	79	46	0.8119	0.8119	NUM
ajst-20821	79	47	10.8236	10.8236	NUM
ajst-20821	79	48	arima	arima	NOUN
ajst-20821	79	49	1	1	PROPN
ajst-20821	79	50	-	-	NUM
ajst-20821	79	51	0.5944	0.5944	NUM
ajst-20821	79	52	4.4595	4.4595	NUM
ajst-20821	79	53	sarima	sarima	NOUN
ajst-20821	79	54	1	1	NUM
ajst-20821	79	55	-	-	NUM
ajst-20821	79	56	0.6278	0.6278	NUM
ajst-20821	79	57	6.7428	6.7428	NUM
ajst-20821	79	58	wmape	wmape	NOUN
ajst-20821	79	59	metrics	metric	NOUN
ajst-20821	79	60	can	can	AUX
ajst-20821	79	61	be	be	AUX
ajst-20821	79	62	used	use	VERB
ajst-20821	79	63	to	to	PART
ajst-20821	79	64	assess	assess	VERB
ajst-20821	79	65	the	the	DET
ajst-20821	79	66	accuracy	accuracy	NOUN
ajst-20821	79	67	of	of	ADP
ajst-20821	79	68	various	various	ADJ
ajst-20821	79	69	forecasting	forecasting	NOUN
ajst-20821	79	70	models	model	NOUN
ajst-20821	79	71	,	,	PUNCT
ajst-20821	79	72	to	to	PART
ajst-20821	79	73	monitor	monitor	VERB
ajst-20821	79	74	and	and	CCONJ
ajst-20821	79	75	evaluate	evaluate	VERB
ajst-20821	79	76	the	the	DET
ajst-20821	79	77	performance	performance	NOUN
ajst-20821	79	78	of	of	ADP
ajst-20821	79	79	forecasting	forecasting	NOUN
ajst-20821	79	80	systems	system	NOUN
ajst-20821	79	81	,	,	PUNCT
ajst-20821	79	82	and	and	CCONJ
ajst-20821	79	83	to	to	PART
ajst-20821	79	84	conduct	conduct	VERB
ajst-20821	79	85	confidence	confidence	NOUN
ajst-20821	79	86	analysis	analysis	NOUN
ajst-20821	79	87	of	of	ADP
ajst-20821	79	88	forecast	forecast	NOUN
ajst-20821	79	89	results	result	NOUN
ajst-20821	79	90	.	.	PUNCT
ajst-20821	80	1	according	accord	VERB
ajst-20821	80	2	to	to	ADP
ajst-20821	80	3	the	the	DET
ajst-20821	80	4	evaluation	evaluation	NOUN
ajst-20821	80	5	index	index	NOUN
ajst-20821	80	6	of	of	ADP
ajst-20821	80	7	the	the	DET
ajst-20821	80	8	model	model	NOUN
ajst-20821	80	9	,	,	PUNCT
ajst-20821	80	10	sarima	sarima	NOUN
ajst-20821	80	11	model	model	NOUN
ajst-20821	80	12	was	be	AUX
ajst-20821	80	13	selected	select	VERB
ajst-20821	80	14	for	for	ADP
ajst-20821	80	15	prediction	prediction	NOUN
ajst-20821	80	16	.	.	PUNCT
ajst-20821	81	1	3.2	3.2	NUM
ajst-20821	81	2	.	.	PUNCT
ajst-20821	82	1	k	k	X
ajst-20821	82	2	-	-	PUNCT
ajst-20821	82	3	means	mean	VERB
ajst-20821	82	4	clustering	cluster	VERB
ajst-20821	82	5	analysis	analysis	NOUN
ajst-20821	82	6	we	we	PRON
ajst-20821	82	7	classify	classify	VERB
ajst-20821	82	8	the	the	DET
ajst-20821	82	9	data	data	NOUN
ajst-20821	82	10	series	series	NOUN
ajst-20821	82	11	according	accord	VERB
ajst-20821	82	12	to	to	ADP
ajst-20821	82	13	different	different	ADJ
ajst-20821	82	14	merchants	merchant	NOUN
ajst-20821	82	15	,	,	PUNCT
ajst-20821	82	16	delivery	delivery	NOUN
ajst-20821	82	17	warehouses	warehouse	NOUN
ajst-20821	82	18	and	and	CCONJ
ajst-20821	82	19	goods	good	NOUN
ajst-20821	82	20	,	,	PUNCT
ajst-20821	82	21	etc	etc	X
ajst-20821	82	22	.	.	X
ajst-20821	82	23	in	in	ADP
ajst-20821	82	24	different	different	ADJ
ajst-20821	82	25	dimensions	dimension	NOUN
ajst-20821	82	26	,	,	PUNCT
ajst-20821	82	27	some	some	DET
ajst-20821	82	28	raw	raw	ADJ
ajst-20821	82	29	data	datum	NOUN
ajst-20821	82	30	are	be	AUX
ajst-20821	82	31	strings	string	NOUN
ajst-20821	82	32	,	,	PUNCT
ajst-20821	82	33	and	and	CCONJ
ajst-20821	82	34	map	map	VERB
ajst-20821	82	35	the	the	DET
ajst-20821	82	36	data	datum	NOUN
ajst-20821	82	37	by	by	ADP
ajst-20821	82	38	way	way	NOUN
ajst-20821	82	39	of	of	ADP
ajst-20821	82	40	recoding	recode	VERB
ajst-20821	82	41	.	.	PUNCT
ajst-20821	83	1	there	there	PRON
ajst-20821	83	2	are	be	VERB
ajst-20821	83	3	as	as	ADV
ajst-20821	83	4	many	many	ADJ
ajst-20821	83	5	as	as	ADP
ajst-20821	83	6	330,000	330,000	NUM
ajst-20821	83	7	data	datum	NOUN
ajst-20821	83	8	samples	sample	NOUN
ajst-20821	83	9	in	in	ADP
ajst-20821	83	10	this	this	DET
ajst-20821	83	11	paper	paper	NOUN
ajst-20821	83	12	.	.	PUNCT
ajst-20821	84	1	if	if	SCONJ
ajst-20821	84	2	the	the	DET
ajst-20821	84	3	original	original	ADJ
ajst-20821	84	4	data	data	NOUN
ajst-20821	84	5	is	be	AUX
ajst-20821	84	6	divided	divide	VERB
ajst-20821	84	7	too	too	ADV
ajst-20821	84	8	carefully	carefully	ADV
ajst-20821	84	9	,	,	PUNCT
ajst-20821	84	10	it	it	PRON
ajst-20821	84	11	will	will	AUX
ajst-20821	84	12	lead	lead	VERB
ajst-20821	84	13	to	to	ADP
ajst-20821	84	14	too	too	ADV
ajst-20821	84	15	many	many	ADJ
ajst-20821	84	16	categories	category	NOUN
ajst-20821	84	17	and	and	CCONJ
ajst-20821	84	18	too	too	ADV
ajst-20821	84	19	much	much	ADJ
ajst-20821	84	20	calculation	calculation	NOUN
ajst-20821	84	21	.	.	PUNCT
ajst-20821	85	1	therefore	therefore	ADV
ajst-20821	85	2	,	,	PUNCT
ajst-20821	85	3	we	we	PRON
ajst-20821	85	4	use	use	VERB
ajst-20821	85	5	k	k	ADJ
ajst-20821	85	6	-	-	PUNCT
ajst-20821	85	7	means	means	NOUN
ajst-20821	85	8	algorithm	algorithm	NOUN
ajst-20821	85	9	to	to	PART
ajst-20821	85	10	roughly	roughly	ADV
ajst-20821	85	11	reclassify	reclassify	VERB
ajst-20821	85	12	the	the	DET
ajst-20821	85	13	original	original	ADJ
ajst-20821	85	14	data	datum	NOUN
ajst-20821	85	15	first	first	ADV
ajst-20821	85	16	.	.	PUNCT
ajst-20821	86	1	therefore	therefore	ADV
ajst-20821	86	2	,	,	PUNCT
ajst-20821	86	3	this	this	DET
ajst-20821	86	4	paper	paper	NOUN
ajst-20821	86	5	obtained	obtain	VERB
ajst-20821	86	6	1996	1996	NUM
ajst-20821	86	7	rows	row	NOUN
ajst-20821	86	8	of	of	ADP
ajst-20821	86	9	data	datum	NOUN
ajst-20821	86	10	after	after	ADP
ajst-20821	86	11	averaging	average	VERB
ajst-20821	86	12	each	each	DET
ajst-20821	86	13	column	column	NOUN
ajst-20821	86	14	in	in	ADP
ajst-20821	86	15	1996	1996	NUM
ajst-20821	86	16	sets	set	NOUN
ajst-20821	86	17	of	of	ADP
ajst-20821	86	18	data	datum	NOUN
ajst-20821	86	19	after	after	ADP
ajst-20821	86	20	coding	code	VERB
ajst-20821	86	21	,	,	PUNCT
ajst-20821	86	22	and	and	CCONJ
ajst-20821	86	23	carried	carry	VERB
ajst-20821	86	24	out	out	ADP
ajst-20821	86	25	k	k	ADJ
ajst-20821	86	26	-	-	PUNCT
ajst-20821	86	27	means	means	NOUN
ajst-20821	86	28	clustering	cluster	VERB
ajst-20821	86	29	on	on	ADP
ajst-20821	86	30	the	the	DET
ajst-20821	86	31	data	datum	NOUN
ajst-20821	86	32	to	to	PART
ajst-20821	86	33	reduce	reduce	VERB
ajst-20821	86	34	the	the	DET
ajst-20821	86	35	workload	workload	NOUN
ajst-20821	86	36	.	.	PUNCT
ajst-20821	87	1	means	mean	VERB
ajst-20821	87	2	classification	classification	NOUN
ajst-20821	87	3	is	be	AUX
ajst-20821	87	4	the	the	DET
ajst-20821	87	5	most	most	ADV
ajst-20821	87	6	commonly	commonly	ADV
ajst-20821	87	7	used	use	VERB
ajst-20821	87	8	method	method	NOUN
ajst-20821	87	9	in	in	ADP
ajst-20821	87	10	cluster	cluster	NOUN
ajst-20821	87	11	analysis	analysis	NOUN
ajst-20821	87	12	,	,	PUNCT
ajst-20821	87	13	it	it	PRON
ajst-20821	87	14	is	be	AUX
ajst-20821	87	15	based	base	VERB
ajst-20821	87	16	on	on	ADP
ajst-20821	87	17	euclidean	euclidean	ADJ
ajst-20821	87	18	distance	distance	NOUN
ajst-20821	87	19	to	to	PART
ajst-20821	87	20	divide	divide	VERB
ajst-20821	87	21	a	a	DET
ajst-20821	87	22	certain	certain	ADJ
ajst-20821	87	23	class	class	NOUN
ajst-20821	87	24	of	of	ADP
ajst-20821	87	25	goods	good	NOUN
ajst-20821	87	26	into	into	ADP
ajst-20821	87	27	the	the	DET
ajst-20821	87	28	corresponding	correspond	VERB
ajst-20821	87	29	class	class	NOUN
ajst-20821	87	30	with	with	ADP
ajst-20821	87	31	the	the	DET
ajst-20821	87	32	smallest	small	ADJ
ajst-20821	87	33	distance	distance	NOUN
ajst-20821	87	34	from	from	ADP
ajst-20821	87	35	a	a	DET
ajst-20821	87	36	sample	sample	NOUN
ajst-20821	87	37	center	center	NOUN
ajst-20821	87	38	.	.	PUNCT
ajst-20821	88	1	the	the	DET
ajst-20821	88	2	general	general	ADJ
ajst-20821	88	3	idea	idea	NOUN
ajst-20821	88	4	of	of	ADP
ajst-20821	88	5	the	the	DET
ajst-20821	88	6	algorithm	algorithm	NOUN
ajst-20821	88	7	is	be	AUX
ajst-20821	88	8	to	to	PART
ajst-20821	88	9	randomly	randomly	VERB
ajst-20821	88	10	select	select	VERB
ajst-20821	88	11	k	k	PROPN
ajst-20821	88	12	sample	sample	NOUN
ajst-20821	88	13	center	center	NOUN
ajst-20821	88	14	clusters	cluster	NOUN
ajst-20821	88	15	from	from	ADP
ajst-20821	88	16	the	the	DET
ajst-20821	88	17	sample	sample	NOUN
ajst-20821	88	18	,	,	PUNCT
ajst-20821	88	19	calculate	calculate	VERB
ajst-20821	88	20	the	the	DET
ajst-20821	88	21	distance	distance	NOUN
ajst-20821	88	22	between	between	ADP
ajst-20821	88	23	the	the	DET
ajst-20821	88	24	sample	sample	NOUN
ajst-20821	88	25	and	and	CCONJ
ajst-20821	88	26	all	all	DET
ajst-20821	88	27	center	center	NOUN
ajst-20821	88	28	clusters	cluster	NOUN
ajst-20821	88	29	,	,	PUNCT
ajst-20821	88	30	and	and	CCONJ
ajst-20821	88	31	then	then	ADV
ajst-20821	88	32	merge	merge	VERB
ajst-20821	88	33	them	they	PRON
ajst-20821	88	34	into	into	ADP
ajst-20821	88	35	the	the	DET
ajst-20821	88	36	cluster	cluster	NOUN
ajst-20821	88	37	with	with	ADP
ajst-20821	88	38	the	the	DET
ajst-20821	88	39	smallest	small	ADJ
ajst-20821	88	40	distance	distance	NOUN
ajst-20821	88	41	.	.	PUNCT
ajst-20821	89	1	the	the	DET
ajst-20821	89	2	cluster	cluster	NOUN
ajst-20821	89	3	centers	center	NOUN
ajst-20821	89	4	of	of	ADP
ajst-20821	89	5	each	each	DET
ajst-20821	89	6	cluster	cluster	NOUN
ajst-20821	89	7	are	be	AUX
ajst-20821	89	8	recalculated	recalculate	VERB
ajst-20821	89	9	and	and	CCONJ
ajst-20821	89	10	another	another	DET
ajst-20821	89	11	sample	sample	NOUN
ajst-20821	89	12	is	be	AUX
ajst-20821	89	13	selected	select	VERB
ajst-20821	89	14	to	to	PART
ajst-20821	89	15	repeat	repeat	VERB
ajst-20821	89	16	the	the	DET
ajst-20821	89	17	process	process	NOUN
ajst-20821	89	18	until	until	SCONJ
ajst-20821	89	19	all	all	DET
ajst-20821	89	20	samples	sample	NOUN
ajst-20821	89	21	are	be	AUX
ajst-20821	89	22	classified	classify	VERB
ajst-20821	89	23	.	.	PUNCT
ajst-20821	90	1	the	the	DET
ajst-20821	90	2	basic	basic	ADJ
ajst-20821	90	3	formula	formula	NOUN
ajst-20821	90	4	is	be	AUX
ajst-20821	90	5	as	as	SCONJ
ajst-20821	90	6	follows	follow	VERB
ajst-20821	90	7	.	.	PUNCT
ajst-20821	91	1	(	(	PUNCT
ajst-20821	91	2	11	11	NUM
ajst-20821	91	3	)	)	PUNCT
ajst-20821	91	4	the	the	DET
ajst-20821	91	5	k	k	NOUN
ajst-20821	91	6	-	-	PUNCT
ajst-20821	91	7	means	means	NOUN
ajst-20821	91	8	algorithm	algorithm	NOUN
ajst-20821	91	9	operates	operate	VERB
ajst-20821	91	10	iteratively	iteratively	ADV
ajst-20821	91	11	to	to	PART
ajst-20821	91	12	achieve	achieve	VERB
ajst-20821	91	13	local	local	ADJ
ajst-20821	91	14	optimal	optimal	ADJ
ajst-20821	91	15	solutions	solution	NOUN
ajst-20821	91	16	.	.	PUNCT
ajst-20821	92	1	the	the	DET
ajst-20821	92	2	process	process	NOUN
ajst-20821	92	3	begins	begin	VERB
ajst-20821	92	4	by	by	ADP
ajst-20821	92	5	determining	determine	VERB
ajst-20821	92	6	the	the	DET
ajst-20821	92	7	total	total	ADJ
ajst-20821	92	8	number	number	NOUN
ajst-20821	92	9	of	of	ADP
ajst-20821	92	10	clusters	cluster	NOUN
ajst-20821	92	11	,	,	PUNCT
ajst-20821	92	12	k	k	NOUN
ajst-20821	92	13	,	,	PUNCT
ajst-20821	92	14	and	and	CCONJ
ajst-20821	92	15	selecting	select	VERB
ajst-20821	92	16	initial	initial	ADJ
ajst-20821	92	17	cluster	cluster	NOUN
ajst-20821	92	18	centers	center	NOUN
ajst-20821	92	19	for	for	ADP
ajst-20821	92	20	each	each	PRON
ajst-20821	92	21	.	.	PUNCT
ajst-20821	93	1	it	it	PRON
ajst-20821	93	2	then	then	ADV
ajst-20821	93	3	calculates	calculate	VERB
ajst-20821	93	4	the	the	DET
ajst-20821	93	5	euclidean	euclidean	ADJ
ajst-20821	93	6	distance	distance	NOUN
ajst-20821	93	7	of	of	ADP
ajst-20821	93	8	each	each	DET
ajst-20821	93	9	sample	sample	NOUN
ajst-20821	93	10	from	from	ADP
ajst-20821	93	11	the	the	DET
ajst-20821	93	12	cluster	cluster	NOUN
ajst-20821	93	13	centers	center	NOUN
ajst-20821	93	14	.	.	PUNCT
ajst-20821	94	1	samples	sample	NOUN
ajst-20821	94	2	are	be	AUX
ajst-20821	94	3	assigned	assign	VERB
ajst-20821	94	4	to	to	ADP
ajst-20821	94	5	the	the	DET
ajst-20821	94	6	cluster	cluster	NOUN
ajst-20821	94	7	with	with	ADP
ajst-20821	94	8	the	the	DET
ajst-20821	94	9	shortest	short	ADJ
ajst-20821	94	10	distance	distance	NOUN
ajst-20821	94	11	,	,	PUNCT
ajst-20821	94	12	and	and	CCONJ
ajst-20821	94	13	new	new	ADJ
ajst-20821	94	14	cluster	cluster	NOUN
ajst-20821	94	15	centers	center	NOUN
ajst-20821	94	16	are	be	AUX
ajst-20821	94	17	recalculated	recalculate	VERB
ajst-20821	94	18	accordingly	accordingly	ADV
ajst-20821	94	19	.	.	PUNCT
ajst-20821	95	1	this	this	DET
ajst-20821	95	2	process	process	NOUN
ajst-20821	95	3	of	of	ADP
ajst-20821	95	4	reassigning	reassign	VERB
ajst-20821	95	5	and	and	CCONJ
ajst-20821	95	6	recalculating	recalculating	NOUN
ajst-20821	95	7	is	be	AUX
ajst-20821	95	8	repeated	repeat	VERB
ajst-20821	95	9	until	until	SCONJ
ajst-20821	95	10	the	the	DET
ajst-20821	95	11	classification	classification	NOUN
ajst-20821	95	12	is	be	AUX
ajst-20821	95	13	complete	complete	ADJ
ajst-20821	95	14	,	,	PUNCT
ajst-20821	95	15	resulting	result	VERB
ajst-20821	95	16	in	in	ADP
ajst-20821	95	17	the	the	DET
ajst-20821	95	18	final	final	ADJ
ajst-20821	95	19	k	k	PROPN
ajst-20821	95	20	clusters	cluster	NOUN
ajst-20821	95	21	and	and	CCONJ
ajst-20821	95	22	their	their	PRON
ajst-20821	95	23	corresponding	correspond	VERB
ajst-20821	95	24	cluster	cluster	NOUN
ajst-20821	95	25	centers	center	NOUN
ajst-20821	95	26	.	.	PUNCT
ajst-20821	96	1	to	to	PART
ajst-20821	96	2	prevent	prevent	VERB
ajst-20821	96	3	excessive	excessive	ADJ
ajst-20821	96	4	computation	computation	NOUN
ajst-20821	96	5	time	time	NOUN
ajst-20821	96	6	,	,	PUNCT
ajst-20821	96	7	a	a	DET
ajst-20821	96	8	maximum	maximum	ADJ
ajst-20821	96	9	number	number	NOUN
ajst-20821	96	10	of	of	ADP
ajst-20821	96	11	iterations	iteration	NOUN
ajst-20821	96	12	and	and	CCONJ
ajst-20821	96	13	a	a	DET
ajst-20821	96	14	threshold	threshold	NOUN
ajst-20821	96	15	value	value	NOUN
ajst-20821	96	16	for	for	ADP
ajst-20821	96	17	cluster	cluster	NOUN
ajst-20821	96	18	adjustment	adjustment	NOUN
ajst-20821	96	19	are	be	AUX
ajst-20821	96	20	typically	typically	ADV
ajst-20821	96	21	set	set	VERB
ajst-20821	96	22	in	in	ADP
ajst-20821	96	23	the	the	DET
ajst-20821	96	24	implementation	implementation	NOUN
ajst-20821	96	25	of	of	ADP
ajst-20821	96	26	the	the	DET
ajst-20821	96	27	kmeans	kmeans	PROPN
ajst-20821	96	28	algorithm	algorithm	NOUN
ajst-20821	96	29	.	.	PUNCT
ajst-20821	97	1	methods	method	NOUN
ajst-20821	97	2	for	for	ADP
ajst-20821	97	3	choosing	choose	VERB
ajst-20821	97	4	the	the	DET
ajst-20821	97	5	optimal	optimal	ADJ
ajst-20821	97	6	k	k	PROPN
ajst-20821	97	7	value	value	NOUN
ajst-20821	97	8	include	include	VERB
ajst-20821	97	9	prior	prior	ADJ
ajst-20821	97	10	knowledge	knowledge	NOUN
ajst-20821	97	11	,	,	PUNCT
ajst-20821	97	12	the	the	DET
ajst-20821	97	13	elbow	elbow	NOUN
ajst-20821	97	14	method	method	NOUN
ajst-20821	97	15	,	,	PUNCT
ajst-20821	97	16	and	and	CCONJ
ajst-20821	97	17	validation	validation	NOUN
ajst-20821	97	18	techniques	technique	NOUN
ajst-20821	97	19	.	.	PUNCT
ajst-20821	98	1	this	this	DET
ajst-20821	98	2	article	article	NOUN
ajst-20821	98	3	utilizes	utilize	VERB
ajst-20821	98	4	the	the	DET
ajst-20821	98	5	elbow	elbow	NOUN
ajst-20821	98	6	method	method	NOUN
ajst-20821	98	7	and	and	CCONJ
ajst-20821	98	8	validation	validation	NOUN
ajst-20821	98	9	method	method	NOUN
ajst-20821	98	10	for	for	ADP
ajst-20821	98	11	determination	determination	NOUN
ajst-20821	98	12	.	.	PUNCT
ajst-20821	99	1	the	the	DET
ajst-20821	99	2	core	core	NOUN
ajst-20821	99	3	indicator	indicator	NOUN
ajst-20821	99	4	of	of	ADP
ajst-20821	99	5	the	the	DET
ajst-20821	99	6	elbow	elbow	NOUN
ajst-20821	99	7	method	method	NOUN
ajst-20821	99	8	is	be	AUX
ajst-20821	99	9	the	the	DET
ajst-20821	99	10	sum	sum	NOUN
ajst-20821	99	11	of	of	ADP
ajst-20821	99	12	squared	square	VERB
ajst-20821	99	13	errors	error	NOUN
ajst-20821	99	14	(	(	PUNCT
ajst-20821	99	15	sse	sse	NOUN
ajst-20821	99	16	)	)	PUNCT
ajst-20821	99	17	,	,	PUNCT
ajst-20821	99	18	with	with	SCONJ
ajst-20821	99	19	the	the	DET
ajst-20821	99	20	formula	formula	NOUN
ajst-20821	99	21	as	as	SCONJ
ajst-20821	99	22	follows	follow	VERB
ajst-20821	99	23	.	.	PUNCT
ajst-20821	100	1	(	(	PUNCT
ajst-20821	100	2	12	12	NUM
ajst-20821	100	3	)	)	PUNCT
ajst-20821	100	4	where	where	SCONJ
ajst-20821	100	5	ci	ci	PROPN
ajst-20821	100	6	is	be	AUX
ajst-20821	100	7	the	the	DET
ajst-20821	100	8	ith	ith	PROPN
ajst-20821	100	9	cluster	cluster	NOUN
ajst-20821	100	10	,	,	PUNCT
ajst-20821	100	11	p	p	PROPN
ajst-20821	100	12	is	be	AUX
ajst-20821	100	13	the	the	DET
ajst-20821	100	14	sample	sample	NOUN
ajst-20821	100	15	point	point	NOUN
ajst-20821	100	16	in	in	ADP
ajst-20821	100	17	ci	ci	PROPN
ajst-20821	100	18	,	,	PUNCT
ajst-20821	100	19	mi	mi	PROPN
ajst-20821	100	20	is	be	AUX
ajst-20821	100	21	the	the	DET
ajst-20821	100	22	centroid	centroid	NOUN
ajst-20821	100	23	of	of	ADP
ajst-20821	100	24	ci	ci	PROPN
ajst-20821	100	25	(	(	PUNCT
ajst-20821	100	26	the	the	DET
ajst-20821	100	27	mean	mean	NOUN
ajst-20821	100	28	of	of	ADP
ajst-20821	100	29	all	all	DET
ajst-20821	100	30	samples	sample	NOUN
ajst-20821	100	31	in	in	ADP
ajst-20821	100	32	ci	ci	NOUN
ajst-20821	100	33	)	)	PUNCT
ajst-20821	100	34	,	,	PUNCT
ajst-20821	100	35	sse	sse	PROPN
ajst-20821	100	36	is	be	AUX
ajst-20821	100	37	the	the	DET
ajst-20821	100	38	clustering	clustering	ADJ
ajst-20821	100	39	error	error	NOUN
ajst-20821	100	40	of	of	ADP
ajst-20821	100	41	all	all	DET
ajst-20821	100	42	samples	sample	NOUN
ajst-20821	100	43	,	,	PUNCT
ajst-20821	100	44	representing	represent	VERB
ajst-20821	100	45	the	the	DET
ajst-20821	100	46	quality	quality	NOUN
ajst-20821	100	47	of	of	ADP
ajst-20821	100	48	the	the	DET
ajst-20821	100	49	clustering	clustering	ADJ
ajst-20821	100	50	effect	effect	NOUN
ajst-20821	100	51	.	.	PUNCT
ajst-20821	101	1	the	the	DET
ajst-20821	101	2	core	core	NOUN
ajst-20821	101	3	idea	idea	NOUN
ajst-20821	101	4	is	be	AUX
ajst-20821	101	5	:	:	PUNCT
ajst-20821	101	6	the	the	DET
ajst-20821	101	7	specific	specific	ADJ
ajst-20821	101	8	step	step	NOUN
ajst-20821	101	9	is	be	AUX
ajst-20821	101	10	usually	usually	ADV
ajst-20821	101	11	to	to	PART
ajst-20821	101	12	gradually	gradually	ADV
ajst-20821	101	13	increase	increase	VERB
ajst-20821	101	14	the	the	DET
ajst-20821	101	15	k	k	PROPN
ajst-20821	101	16	value	value	NOUN
ajst-20821	101	17	,	,	PUNCT
ajst-20821	101	18	calculate	calculate	VERB
ajst-20821	101	19	the	the	DET
ajst-20821	101	20	sse	sse	NOUN
ajst-20821	101	21	of	of	ADP
ajst-20821	101	22	the	the	DET
ajst-20821	101	23	clustering	clustering	ADJ
ajst-20821	101	24	model	model	NOUN
ajst-20821	101	25	under	under	ADP
ajst-20821	101	26	each	each	DET
ajst-20821	101	27	k	k	PROPN
ajst-20821	101	28	value	value	NOUN
ajst-20821	101	29	,	,	PUNCT
ajst-20821	101	30	and	and	CCONJ
ajst-20821	101	31	then	then	ADV
ajst-20821	101	32	draw	draw	VERB
ajst-20821	101	33	a	a	DET
ajst-20821	101	34	graph	graph	NOUN
ajst-20821	101	35	of	of	ADP
ajst-20821	101	36	sse	sse	NOUN
ajst-20821	101	37	and	and	CCONJ
ajst-20821	101	38	k	k	PROPN
ajst-20821	101	39	value	value	NOUN
ajst-20821	101	40	.	.	PUNCT
ajst-20821	102	1	the	the	DET
ajst-20821	102	2	graph	graph	NOUN
ajst-20821	102	3	usually	usually	ADV
ajst-20821	102	4	shows	show	VERB
ajst-20821	102	5	an	an	DET
ajst-20821	102	6	elbow	elbow	NOUN
ajst-20821	102	7	or	or	CCONJ
ajst-20821	102	8	bend	bend	VERB
ajst-20821	102	9	point	point	NOUN
ajst-20821	102	10	after	after	SCONJ
ajst-20821	102	11	k	k	PROPN
ajst-20821	102	12	reaches	reach	VERB
ajst-20821	102	13	a	a	DET
ajst-20821	102	14	certain	certain	ADJ
ajst-20821	102	15	value	value	NOUN
ajst-20821	102	16	,	,	PUNCT
ajst-20821	102	17	and	and	CCONJ
ajst-20821	102	18	the	the	DET
ajst-20821	102	19	corresponding	corresponding	ADJ
ajst-20821	102	20	value	value	NOUN
ajst-20821	102	21	of	of	ADP
ajst-20821	102	22	k	k	PROPN
ajst-20821	102	23	is	be	AUX
ajst-20821	102	24	considered	consider	VERB
ajst-20821	102	25	to	to	PART
ajst-20821	102	26	be	be	AUX
ajst-20821	102	27	the	the	DET
ajst-20821	102	28	best	good	ADJ
ajst-20821	102	29	number	number	NOUN
ajst-20821	102	30	of	of	ADP
ajst-20821	102	31	clusters	cluster	NOUN
ajst-20821	102	32	,	,	PUNCT
ajst-20821	102	33	because	because	SCONJ
ajst-20821	102	34	increasing	increase	VERB
ajst-20821	102	35	the	the	DET
ajst-20821	102	36	value	value	NOUN
ajst-20821	102	37	of	of	ADP
ajst-20821	102	38	k	k	PROPN
ajst-20821	102	39	does	do	AUX
ajst-20821	102	40	not	not	PART
ajst-20821	102	41	significantly	significantly	ADV
ajst-20821	102	42	reduce	reduce	VERB
ajst-20821	102	43	sse	sse	PROPN
ajst-20821	102	44	.	.	PUNCT
ajst-20821	103	1	figure	figure	NOUN
ajst-20821	103	2	5	5	NUM
ajst-20821	103	3	.	.	PUNCT
ajst-20821	104	1	n0.1129	n0.1129	PROPN
ajst-20821	104	2	product	product	NOUN
ajst-20821	104	3	fitting	fitting	ADJ
ajst-20821	104	4	forecast	forecast	NOUN
ajst-20821	104	5	results	result	VERB
ajst-20821	104	6	230	230	NUM
ajst-20821	104	7	as	as	SCONJ
ajst-20821	104	8	can	can	AUX
ajst-20821	104	9	be	be	AUX
ajst-20821	104	10	seen	see	VERB
ajst-20821	104	11	from	from	ADP
ajst-20821	104	12	fig	fig	NOUN
ajst-20821	104	13	.	.	PUNCT
ajst-20821	105	1	6	6	NUM
ajst-20821	105	2	,	,	PUNCT
ajst-20821	105	3	the	the	DET
ajst-20821	105	4	elbow	elbow	NOUN
ajst-20821	105	5	method	method	NOUN
ajst-20821	105	6	determines	determine	VERB
ajst-20821	105	7	the	the	DET
ajst-20821	105	8	value	value	NOUN
ajst-20821	105	9	of	of	ADP
ajst-20821	105	10	k	k	PROPN
ajst-20821	105	11	at	at	ADP
ajst-20821	105	12	the	the	DET
ajst-20821	105	13	inflection	inflection	NOUN
ajst-20821	105	14	point	point	NOUN
ajst-20821	105	15	of	of	ADP
ajst-20821	105	16	the	the	DET
ajst-20821	105	17	curve	curve	NOUN
ajst-20821	105	18	,	,	PUNCT
ajst-20821	105	19	so	so	CCONJ
ajst-20821	105	20	k=4	k=4	PROPN
ajst-20821	105	21	is	be	AUX
ajst-20821	105	22	selected	select	VERB
ajst-20821	105	23	,	,	PUNCT
ajst-20821	105	24	that	that	ADV
ajst-20821	105	25	is	is	ADV
ajst-20821	105	26	,	,	PUNCT
ajst-20821	105	27	the	the	DET
ajst-20821	105	28	optimal	optimal	ADJ
ajst-20821	105	29	clustering	clustering	NOUN
ajst-20821	105	30	number	number	NOUN
ajst-20821	105	31	is	be	AUX
ajst-20821	105	32	4	4	NUM
ajst-20821	105	33	.	.	PUNCT
ajst-20821	106	1	the	the	DET
ajst-20821	106	2	clustering	clustering	ADJ
ajst-20821	106	3	results	result	NOUN
ajst-20821	106	4	are	be	AUX
ajst-20821	106	5	as	as	SCONJ
ajst-20821	106	6	follows	follow	NOUN
ajst-20821	106	7	.	.	PUNCT
ajst-20821	107	1	figure	figure	VERB
ajst-20821	107	2	6	6	NUM
ajst-20821	107	3	.	.	PUNCT
ajst-20821	107	4	clustering	cluster	VERB
ajst-20821	107	5	result	result	NOUN
ajst-20821	107	6	the	the	DET
ajst-20821	107	7	centroid	centroid	NOUN
ajst-20821	107	8	of	of	ADP
ajst-20821	107	9	the	the	DET
ajst-20821	107	10	classification	classification	NOUN
ajst-20821	107	11	is	be	AUX
ajst-20821	107	12	as	as	SCONJ
ajst-20821	107	13	follows	follow	VERB
ajst-20821	107	14	.	.	PUNCT
ajst-20821	108	1	table	table	NOUN
ajst-20821	108	2	2	2	NUM
ajst-20821	108	3	.	.	PUNCT
ajst-20821	108	4	table	table	NOUN
ajst-20821	108	5	of	of	ADP
ajst-20821	108	6	classification	classification	NOUN
ajst-20821	108	7	centers	center	NOUN
ajst-20821	108	8	category	category	NOUN
ajst-20821	108	9	demand	demand	VERB
ajst-20821	108	10	quantity	quantity	NOUN
ajst-20821	108	11	merchant	merchant	NOUN
ajst-20821	108	12	classification	classification	NOUN
ajst-20821	108	13	inventory	inventory	NOUN
ajst-20821	108	14	classification	classification	NOUN
ajst-20821	108	15	merchant	merchant	NOUN
ajst-20821	108	16	scale	scale	NOUN
ajst-20821	108	17	warehouse	warehouse	NOUN
ajst-20821	108	18	category	category	NOUN
ajst-20821	108	19	warehouse	warehouse	NOUN
ajst-20821	108	20	region	region	NOUN
ajst-20821	108	21	1	1	NUM
ajst-20821	108	22	6.4919	6.4919	NUM
ajst-20821	108	23	8.690	8.690	NUM
ajst-20821	108	24	8.6906	8.6906	NUM
ajst-20821	108	25	0.3552	0.3552	NUM
ajst-20821	108	26	0.3414	0.3414	NUM
ajst-20821	108	27	2.6796	2.6796	NUM
ajst-20821	108	28	2	2	NUM
ajst-20821	108	29	199.004	199.004	NUM
ajst-20821	108	30	8.5	8.5	NUM
ajst-20821	108	31	8.5	8.5	NUM
ajst-20821	108	32	0.3846	0.3846	NUM
ajst-20821	108	33	0.8077	0.8077	NUM
ajst-20821	108	34	2.1154	2.1154	NUM
ajst-20821	108	35	3	3	NUM
ajst-20821	108	36	689.331	689.331	NUM
ajst-20821	108	37	9.666	9.666	NUM
ajst-20821	108	38	9.6667	9.6667	NUM
ajst-20821	108	39	1	1	NUM
ajst-20821	108	40	1	1	NUM
ajst-20821	108	41	2	2	NUM
ajst-20821	108	42	4	4	NUM
ajst-20821	108	43	53.9763	53.9763	NUM
ajst-20821	108	44	8.5478	8.5478	NUM
ajst-20821	108	45	1.1783	1.1783	NUM
ajst-20821	108	46	0.4268	0.4268	NUM
ajst-20821	108	47	0.6943	0.6943	NUM
ajst-20821	108	48	2.2675	2.2675	NUM
ajst-20821	108	49	as	as	SCONJ
ajst-20821	108	50	can	can	AUX
ajst-20821	108	51	be	be	AUX
ajst-20821	108	52	seen	see	VERB
ajst-20821	108	53	from	from	ADP
ajst-20821	108	54	table	table	NOUN
ajst-20821	108	55	2	2	NUM
ajst-20821	108	56	,	,	PUNCT
ajst-20821	108	57	the	the	DET
ajst-20821	108	58	demand	demand	NOUN
ajst-20821	108	59	for	for	ADP
ajst-20821	108	60	category	category	NOUN
ajst-20821	108	61	1	1	NUM
ajst-20821	108	62	is	be	AUX
ajst-20821	108	63	relatively	relatively	ADV
ajst-20821	108	64	small	small	ADJ
ajst-20821	108	65	,	,	PUNCT
ajst-20821	108	66	mainly	mainly	ADV
ajst-20821	108	67	concentrated	concentrate	VERB
ajst-20821	108	68	in	in	ADP
ajst-20821	108	69	household	household	NOUN
ajst-20821	108	70	appliances	appliance	NOUN
ajst-20821	108	71	and	and	CCONJ
ajst-20821	108	72	home	home	NOUN
ajst-20821	108	73	improvement	improvement	NOUN
ajst-20821	108	74	building	building	NOUN
ajst-20821	108	75	materials	material	NOUN
ajst-20821	108	76	.	.	PUNCT
ajst-20821	109	1	the	the	DET
ajst-20821	109	2	scale	scale	NOUN
ajst-20821	109	3	of	of	ADP
ajst-20821	109	4	merchants	merchant	NOUN
ajst-20821	109	5	is	be	AUX
ajst-20821	109	6	medium	medium	ADJ
ajst-20821	109	7	and	and	CCONJ
ajst-20821	109	8	large	large	ADJ
ajst-20821	109	9	,	,	PUNCT
ajst-20821	109	10	and	and	CCONJ
ajst-20821	109	11	the	the	DET
ajst-20821	109	12	warehouse	warehouse	NOUN
ajst-20821	109	13	category	category	NOUN
ajst-20821	109	14	is	be	AUX
ajst-20821	109	15	concentrated	concentrate	VERB
ajst-20821	109	16	in	in	ADP
ajst-20821	109	17	regional	regional	ADJ
ajst-20821	109	18	warehouses	warehouse	NOUN
ajst-20821	109	19	,	,	PUNCT
ajst-20821	109	20	most	most	ADJ
ajst-20821	109	21	of	of	ADP
ajst-20821	109	22	which	which	PRON
ajst-20821	109	23	are	be	AUX
ajst-20821	109	24	in	in	ADP
ajst-20821	109	25	south	south	PROPN
ajst-20821	109	26	china	china	PROPN
ajst-20821	109	27	.	.	PUNCT
ajst-20821	110	1	the	the	DET
ajst-20821	110	2	demand	demand	NOUN
ajst-20821	110	3	of	of	ADP
ajst-20821	110	4	category	category	NOUN
ajst-20821	110	5	2	2	NUM
ajst-20821	110	6	is	be	AUX
ajst-20821	110	7	medium	medium	ADJ
ajst-20821	110	8	,	,	PUNCT
ajst-20821	110	9	mainly	mainly	ADV
ajst-20821	110	10	concentrated	concentrate	VERB
ajst-20821	110	11	in	in	ADP
ajst-20821	110	12	household	household	NOUN
ajst-20821	110	13	appliances	appliance	NOUN
ajst-20821	110	14	and	and	CCONJ
ajst-20821	110	15	home	home	NOUN
ajst-20821	110	16	improvement	improvement	NOUN
ajst-20821	110	17	building	building	NOUN
ajst-20821	110	18	materials	material	NOUN
ajst-20821	110	19	.	.	PUNCT
ajst-20821	111	1	the	the	DET
ajst-20821	111	2	business	business	NOUN
ajst-20821	111	3	scale	scale	NOUN
ajst-20821	111	4	is	be	AUX
ajst-20821	111	5	medium	medium	ADJ
ajst-20821	111	6	and	and	CCONJ
ajst-20821	111	7	large	large	ADJ
ajst-20821	111	8	.	.	PUNCT
ajst-20821	112	1	the	the	DET
ajst-20821	112	2	warehouse	warehouse	NOUN
ajst-20821	112	3	category	category	NOUN
ajst-20821	112	4	is	be	AUX
ajst-20821	112	5	concentrated	concentrate	VERB
ajst-20821	112	6	in	in	ADP
ajst-20821	112	7	the	the	DET
ajst-20821	112	8	central	central	ADJ
ajst-20821	112	9	warehouse	warehouse	NOUN
ajst-20821	112	10	,	,	PUNCT
ajst-20821	112	11	and	and	CCONJ
ajst-20821	112	12	the	the	DET
ajst-20821	112	13	warehouse	warehouse	NOUN
ajst-20821	112	14	area	area	NOUN
ajst-20821	112	15	is	be	AUX
ajst-20821	112	16	mostly	mostly	ADV
ajst-20821	112	17	in	in	ADP
ajst-20821	112	18	east	east	PROPN
ajst-20821	112	19	china	china	PROPN
ajst-20821	112	20	.	.	PUNCT
ajst-20821	113	1	the	the	DET
ajst-20821	113	2	demand	demand	NOUN
ajst-20821	113	3	for	for	ADP
ajst-20821	113	4	category	category	NOUN
ajst-20821	113	5	3	3	NUM
ajst-20821	113	6	is	be	AUX
ajst-20821	113	7	large	large	ADJ
ajst-20821	113	8	,	,	PUNCT
ajst-20821	113	9	which	which	PRON
ajst-20821	113	10	is	be	AUX
ajst-20821	113	11	basically	basically	ADV
ajst-20821	113	12	concentrated	concentrate	VERB
ajst-20821	113	13	in	in	ADP
ajst-20821	113	14	the	the	DET
ajst-20821	113	15	categories	category	NOUN
ajst-20821	113	16	of	of	ADP
ajst-20821	113	17	home	home	NOUN
ajst-20821	113	18	life	life	NOUN
ajst-20821	113	19	and	and	CCONJ
ajst-20821	113	20	beauty	beauty	NOUN
ajst-20821	113	21	and	and	CCONJ
ajst-20821	113	22	skin	skin	NOUN
ajst-20821	113	23	care	care	NOUN
ajst-20821	113	24	.	.	PUNCT
ajst-20821	114	1	the	the	DET
ajst-20821	114	2	business	business	NOUN
ajst-20821	114	3	scale	scale	NOUN
ajst-20821	114	4	is	be	AUX
ajst-20821	114	5	medium	medium	ADJ
ajst-20821	114	6	-	-	PUNCT
ajst-20821	114	7	sized	sized	ADJ
ajst-20821	114	8	,	,	PUNCT
ajst-20821	114	9	the	the	DET
ajst-20821	114	10	warehouse	warehouse	NOUN
ajst-20821	114	11	category	category	NOUN
ajst-20821	114	12	is	be	AUX
ajst-20821	114	13	concentrated	concentrate	VERB
ajst-20821	114	14	in	in	ADP
ajst-20821	114	15	the	the	DET
ajst-20821	114	16	central	central	ADJ
ajst-20821	114	17	warehouse	warehouse	NOUN
ajst-20821	114	18	,	,	PUNCT
ajst-20821	114	19	and	and	CCONJ
ajst-20821	114	20	the	the	DET
ajst-20821	114	21	warehouse	warehouse	NOUN
ajst-20821	114	22	area	area	NOUN
ajst-20821	114	23	is	be	AUX
ajst-20821	114	24	mostly	mostly	ADV
ajst-20821	114	25	in	in	ADP
ajst-20821	114	26	east	east	PROPN
ajst-20821	114	27	china	china	PROPN
ajst-20821	114	28	.	.	PUNCT
ajst-20821	115	1	the	the	DET
ajst-20821	115	2	demand	demand	NOUN
ajst-20821	115	3	of	of	ADP
ajst-20821	115	4	category	category	NOUN
ajst-20821	115	5	4	4	NUM
ajst-20821	115	6	is	be	AUX
ajst-20821	115	7	small	small	ADJ
ajst-20821	115	8	,	,	PUNCT
ajst-20821	115	9	basically	basically	ADV
ajst-20821	115	10	concentrated	concentrate	VERB
ajst-20821	115	11	in	in	ADP
ajst-20821	115	12	household	household	NOUN
ajst-20821	115	13	appliances	appliance	NOUN
ajst-20821	115	14	and	and	CCONJ
ajst-20821	115	15	home	home	NOUN
ajst-20821	115	16	improvement	improvement	NOUN
ajst-20821	115	17	building	building	NOUN
ajst-20821	115	18	materials	material	NOUN
ajst-20821	115	19	,	,	PUNCT
ajst-20821	115	20	the	the	DET
ajst-20821	115	21	scale	scale	NOUN
ajst-20821	115	22	of	of	ADP
ajst-20821	115	23	businesses	business	NOUN
ajst-20821	115	24	is	be	AUX
ajst-20821	115	25	large	large	ADJ
ajst-20821	115	26	,	,	PUNCT
ajst-20821	115	27	the	the	DET
ajst-20821	115	28	warehouse	warehouse	NOUN
ajst-20821	115	29	category	category	NOUN
ajst-20821	115	30	is	be	AUX
ajst-20821	115	31	concentrated	concentrate	VERB
ajst-20821	115	32	in	in	ADP
ajst-20821	115	33	the	the	DET
ajst-20821	115	34	central	central	ADJ
ajst-20821	115	35	warehouse	warehouse	NOUN
ajst-20821	115	36	,	,	PUNCT
ajst-20821	115	37	and	and	CCONJ
ajst-20821	115	38	the	the	DET
ajst-20821	115	39	warehouse	warehouse	NOUN
ajst-20821	115	40	area	area	NOUN
ajst-20821	115	41	is	be	AUX
ajst-20821	115	42	mostly	mostly	ADV
ajst-20821	115	43	in	in	ADP
ajst-20821	115	44	south	south	PROPN
ajst-20821	115	45	china	china	PROPN
ajst-20821	115	46	.	.	PUNCT
ajst-20821	116	1	4	4	X
ajst-20821	116	2	.	.	X
ajst-20821	116	3	conclusion	conclusion	NOUN
ajst-20821	116	4	this	this	DET
ajst-20821	116	5	study	study	NOUN
ajst-20821	116	6	has	have	AUX
ajst-20821	116	7	developed	develop	VERB
ajst-20821	116	8	and	and	CCONJ
ajst-20821	116	9	evaluated	evaluate	VERB
ajst-20821	116	10	an	an	DET
ajst-20821	116	11	e	e	NOUN
ajst-20821	116	12	-	-	ADJ
ajst-20821	116	13	commerce	commerce	ADJ
ajst-20821	116	14	retail	retail	ADJ
ajst-20821	116	15	demand	demand	NOUN
ajst-20821	116	16	forecasting	forecasting	NOUN
ajst-20821	116	17	system	system	NOUN
ajst-20821	116	18	based	base	VERB
ajst-20821	116	19	on	on	ADP
ajst-20821	116	20	the	the	DET
ajst-20821	116	21	sarima	sarima	NOUN
ajst-20821	116	22	model	model	NOUN
ajst-20821	116	23	and	and	CCONJ
ajst-20821	116	24	k	k	ADJ
ajst-20821	116	25	-	-	PUNCT
ajst-20821	116	26	means	mean	VERB
ajst-20821	116	27	clustering	clustering	ADJ
ajst-20821	116	28	algorithm	algorithm	NOUN
ajst-20821	116	29	,	,	PUNCT
ajst-20821	116	30	providing	provide	VERB
ajst-20821	116	31	retailers	retailer	NOUN
ajst-20821	116	32	with	with	ADP
ajst-20821	116	33	a	a	DET
ajst-20821	116	34	novel	novel	ADJ
ajst-20821	116	35	tool	tool	NOUN
ajst-20821	116	36	for	for	ADP
ajst-20821	116	37	inventory	inventory	NOUN
ajst-20821	116	38	optimization	optimization	NOUN
ajst-20821	116	39	.	.	PUNCT
ajst-20821	117	1	through	through	ADP
ajst-20821	117	2	an	an	DET
ajst-20821	117	3	indepth	indepth	ADJ
ajst-20821	117	4	analysis	analysis	NOUN
ajst-20821	117	5	of	of	ADP
ajst-20821	117	6	1996	1996	NUM
ajst-20821	117	7	time	time	NOUN
ajst-20821	117	8	series	series	PROPN
ajst-20821	117	9	datasets	dataset	NOUN
ajst-20821	117	10	,	,	PUNCT
ajst-20821	117	11	it	it	PRON
ajst-20821	117	12	was	be	AUX
ajst-20821	117	13	found	find	VERB
ajst-20821	117	14	that	that	SCONJ
ajst-20821	117	15	the	the	DET
ajst-20821	117	16	sarima	sarima	NOUN
ajst-20821	117	17	model	model	NOUN
ajst-20821	117	18	excels	excel	VERB
ajst-20821	117	19	at	at	ADP
ajst-20821	117	20	capturing	capture	VERB
ajst-20821	117	21	the	the	DET
ajst-20821	117	22	seasonality	seasonality	NOUN
ajst-20821	117	23	and	and	CCONJ
ajst-20821	117	24	trends	trend	NOUN
ajst-20821	117	25	in	in	ADP
ajst-20821	117	26	sales	sale	NOUN
ajst-20821	117	27	data	datum	NOUN
ajst-20821	117	28	,	,	PUNCT
ajst-20821	117	29	demonstrating	demonstrate	VERB
ajst-20821	117	30	higher	high	ADJ
ajst-20821	117	31	fit	fit	ADJ
ajst-20821	117	32	and	and	CCONJ
ajst-20821	117	33	predictive	predictive	ADJ
ajst-20821	117	34	accuracy	accuracy	NOUN
ajst-20821	117	35	compared	compare	VERB
ajst-20821	117	36	to	to	ADP
ajst-20821	117	37	traditional	traditional	ADJ
ajst-20821	117	38	linear	linear	ADJ
ajst-20821	117	39	regression	regression	NOUN
ajst-20821	117	40	(	(	PUNCT
ajst-20821	117	41	lr	lr	NOUN
ajst-20821	117	42	)	)	PUNCT
ajst-20821	117	43	and	and	CCONJ
ajst-20821	117	44	autoregressive	autoregressive	ADJ
ajst-20821	117	45	integrated	integrated	ADJ
ajst-20821	117	46	moving	move	VERB
ajst-20821	117	47	average	average	ADJ
ajst-20821	117	48	(	(	PUNCT
ajst-20821	117	49	arima	arima	NOUN
ajst-20821	117	50	)	)	PUNCT
ajst-20821	117	51	models	model	NOUN
ajst-20821	117	52	.	.	PUNCT
ajst-20821	118	1	this	this	PRON
ajst-20821	118	2	was	be	AUX
ajst-20821	118	3	substantiated	substantiate	VERB
ajst-20821	118	4	by	by	ADP
ajst-20821	118	5	the	the	DET
ajst-20821	118	6	1	1	NUM
ajst-20821	118	7	-	-	PUNCT
ajst-20821	118	8	mwape	mwape	NOUN
ajst-20821	118	9	and	and	CCONJ
ajst-20821	118	10	rmse	rmse	NOUN
ajst-20821	118	11	metrics	metric	NOUN
ajst-20821	118	12	,	,	PUNCT
ajst-20821	118	13	with	with	ADP
ajst-20821	118	14	the	the	DET
ajst-20821	118	15	sarima	sarima	NOUN
ajst-20821	118	16	model	model	NOUN
ajst-20821	118	17	's	's	PART
ajst-20821	118	18	average	average	ADJ
ajst-20821	118	19	wmape	wmape	NOUN
ajst-20821	118	20	value	value	NOUN
ajst-20821	118	21	at	at	ADP
ajst-20821	118	22	0.6278	0.6278	NUM
ajst-20821	118	23	,	,	PUNCT
ajst-20821	118	24	which	which	PRON
ajst-20821	118	25	is	be	AUX
ajst-20821	118	26	lower	low	ADJ
ajst-20821	118	27	than	than	ADP
ajst-20821	118	28	the	the	DET
ajst-20821	118	29	lr	lr	PROPN
ajst-20821	118	30	model	model	NOUN
ajst-20821	118	31	's	's	PART
ajst-20821	118	32	1	1	NUM
ajst-20821	118	33	-	-	NUM
ajst-20821	118	34	0.8119	0.8119	NUM
ajst-20821	118	35	and	and	CCONJ
ajst-20821	118	36	the	the	DET
ajst-20821	118	37	arima	arima	PROPN
ajst-20821	118	38	model	model	NOUN
ajst-20821	118	39	's	's	PART
ajst-20821	118	40	1	1	NUM
ajst-20821	118	41	-	-	NUM
ajst-20821	118	42	0.5944	0.5944	NUM
ajst-20821	118	43	,	,	PUNCT
ajst-20821	118	44	indicating	indicate	VERB
ajst-20821	118	45	its	its	PRON
ajst-20821	118	46	significant	significant	ADJ
ajst-20821	118	47	advantage	advantage	NOUN
ajst-20821	118	48	in	in	ADP
ajst-20821	118	49	predictive	predictive	ADJ
ajst-20821	118	50	precision	precision	NOUN
ajst-20821	118	51	.	.	PUNCT
ajst-20821	119	1	furthermore	furthermore	ADV
ajst-20821	119	2	,	,	PUNCT
ajst-20821	119	3	the	the	DET
ajst-20821	119	4	application	application	NOUN
ajst-20821	119	5	of	of	ADP
ajst-20821	119	6	the	the	DET
ajst-20821	119	7	kmeans	kmean	NOUN
ajst-20821	119	8	clustering	cluster	VERB
ajst-20821	119	9	algorithm	algorithm	NOUN
ajst-20821	119	10	not	not	PART
ajst-20821	119	11	only	only	ADV
ajst-20821	119	12	enhanced	enhance	VERB
ajst-20821	119	13	the	the	DET
ajst-20821	119	14	homogeneity	homogeneity	NOUN
ajst-20821	119	15	of	of	ADP
ajst-20821	119	16	demand	demand	NOUN
ajst-20821	119	17	forecasting	forecasting	NOUN
ajst-20821	119	18	but	but	CCONJ
ajst-20821	119	19	also	also	ADV
ajst-20821	119	20	improved	improve	VERB
ajst-20821	119	21	the	the	DET
ajst-20821	119	22	model	model	NOUN
ajst-20821	119	23	's	's	PART
ajst-20821	119	24	adaptability	adaptability	NOUN
ajst-20821	119	25	to	to	ADP
ajst-20821	119	26	new	new	ADJ
ajst-20821	119	27	sequence	sequence	NOUN
ajst-20821	119	28	data	datum	NOUN
ajst-20821	119	29	.	.	PUNCT
ajst-20821	120	1	by	by	ADP
ajst-20821	120	2	clustering	cluster	VERB
ajst-20821	120	3	analysis	analysis	NOUN
ajst-20821	120	4	,	,	PUNCT
ajst-20821	120	5	products	product	NOUN
ajst-20821	120	6	were	be	AUX
ajst-20821	120	7	divided	divide	VERB
ajst-20821	120	8	into	into	ADP
ajst-20821	120	9	four	four	NUM
ajst-20821	120	10	categories	category	NOUN
ajst-20821	120	11	,	,	PUNCT
ajst-20821	120	12	with	with	ADP
ajst-20821	120	13	more	more	ADV
ajst-20821	120	14	similar	similar	ADJ
ajst-20821	120	15	demand	demand	NOUN
ajst-20821	120	16	characteristics	characteristic	NOUN
ajst-20821	120	17	within	within	ADP
ajst-20821	120	18	each	each	DET
ajst-20821	120	19	category	category	NOUN
ajst-20821	120	20	,	,	PUNCT
ajst-20821	120	21	aiding	aid	VERB
ajst-20821	120	22	the	the	DET
ajst-20821	120	23	model	model	NOUN
ajst-20821	120	24	in	in	ADP
ajst-20821	120	25	more	more	ADV
ajst-20821	120	26	accurately	accurately	ADV
ajst-20821	120	27	capturing	capture	VERB
ajst-20821	120	28	potential	potential	ADJ
ajst-20821	120	29	changes	change	NOUN
ajst-20821	120	30	in	in	ADP
ajst-20821	120	31	demand	demand	NOUN
ajst-20821	120	32	.	.	PUNCT
ajst-20821	121	1	in	in	ADP
ajst-20821	121	2	summary	summary	NOUN
ajst-20821	121	3	,	,	PUNCT
ajst-20821	121	4	this	this	DET
ajst-20821	121	5	research	research	NOUN
ajst-20821	121	6	confirms	confirm	VERB
ajst-20821	121	7	the	the	DET
ajst-20821	121	8	effectiveness	effectiveness	NOUN
ajst-20821	121	9	and	and	CCONJ
ajst-20821	121	10	practicality	practicality	NOUN
ajst-20821	121	11	of	of	ADP
ajst-20821	121	12	combining	combine	VERB
ajst-20821	121	13	the	the	DET
ajst-20821	121	14	sarima	sarima	NOUN
ajst-20821	121	15	model	model	NOUN
ajst-20821	121	16	with	with	ADP
ajst-20821	121	17	the	the	DET
ajst-20821	121	18	kmeans	kmean	NOUN
ajst-20821	121	19	clustering	cluster	VERB
ajst-20821	121	20	algorithm	algorithm	NOUN
ajst-20821	121	21	in	in	ADP
ajst-20821	121	22	e	e	PROPN
ajst-20821	121	23	-	-	NOUN
ajst-20821	121	24	commerce	commerce	NOUN
ajst-20821	121	25	demand	demand	NOUN
ajst-20821	121	26	forecasting	forecasting	NOUN
ajst-20821	121	27	.	.	PUNCT
ajst-20821	122	1	future	future	ADJ
ajst-20821	122	2	research	research	NOUN
ajst-20821	122	3	could	could	AUX
ajst-20821	122	4	further	far	ADV
ajst-20821	122	5	explore	explore	VERB
ajst-20821	122	6	the	the	DET
ajst-20821	122	7	model	model	NOUN
ajst-20821	122	8	's	's	PART
ajst-20821	122	9	applicability	applicability	NOUN
ajst-20821	122	10	in	in	ADP
ajst-20821	122	11	different	different	ADJ
ajst-20821	122	12	e	e	NOUN
ajst-20821	122	13	-	-	NOUN
ajst-20821	122	14	commerce	commerce	NOUN
ajst-20821	122	15	environments	environment	NOUN
ajst-20821	122	16	and	and	CCONJ
ajst-20821	122	17	consider	consider	VERB
ajst-20821	122	18	incorporating	incorporate	VERB
ajst-20821	122	19	additional	additional	ADJ
ajst-20821	122	20	influencing	influence	VERB
ajst-20821	122	21	factors	factor	NOUN
ajst-20821	122	22	to	to	PART
ajst-20821	122	23	enhance	enhance	VERB
ajst-20821	122	24	the	the	DET
ajst-20821	122	25	comprehensiveness	comprehensiveness	NOUN
ajst-20821	122	26	and	and	CCONJ
ajst-20821	122	27	accuracy	accuracy	NOUN
ajst-20821	122	28	of	of	ADP
ajst-20821	122	29	forecasts	forecast	NOUN
ajst-20821	122	30	.	.	PUNCT
ajst-20821	123	1	references	reference	NOUN
ajst-20821	123	2	[	[	X
ajst-20821	123	3	1	1	NUM
ajst-20821	123	4	]	]	X
ajst-20821	123	5	lalou	lalou	NOUN
ajst-20821	123	6	p	p	NOUN
ajst-20821	123	7	,	,	PUNCT
ajst-20821	123	8	ponis	ponis	PROPN
ajst-20821	123	9	s	s	PROPN
ajst-20821	123	10	t	t	PROPN
ajst-20821	123	11	,	,	PUNCT
ajst-20821	123	12	efthymiou	efthymiou	PROPN
ajst-20821	123	13	o	o	PROPN
ajst-20821	123	14	k.	k.	PROPN
ajst-20821	123	15	demand	demand	NOUN
ajst-20821	123	16	forecasting	forecasting	NOUN
ajst-20821	123	17	of	of	ADP
ajst-20821	123	18	retail	retail	ADJ
ajst-20821	123	19	sales	sale	NOUN
ajst-20821	123	20	using	use	VERB
ajst-20821	123	21	data	datum	NOUN
ajst-20821	123	22	analytics	analytic	NOUN
ajst-20821	123	23	and	and	CCONJ
ajst-20821	123	24	statistical	statistical	ADJ
ajst-20821	123	25	programming[j	programming[j	NOUN
ajst-20821	123	26	]	]	PUNCT
ajst-20821	123	27	.	.	PUNCT
ajst-20821	124	1	management	management	NOUN
ajst-20821	124	2	&	&	CCONJ
ajst-20821	124	3	marketing	marketing	PROPN
ajst-20821	124	4	,	,	PUNCT
ajst-20821	124	5	2020	2020	NUM
ajst-20821	124	6	,	,	PUNCT
ajst-20821	124	7	15(2	15(2	NUM
ajst-20821	124	8	):	):	PUNCT
ajst-20821	124	9	186	186	NUM
ajst-20821	124	10	-	-	SYM
ajst-20821	124	11	202	202	NUM
ajst-20821	124	12	.	.	PUNCT
ajst-20821	125	1	[	[	X
ajst-20821	125	2	2	2	NUM
ajst-20821	125	3	]	]	PUNCT
ajst-20821	125	4	bandara	bandara	PROPN
ajst-20821	125	5	k	k	PROPN
ajst-20821	125	6	,	,	PUNCT
ajst-20821	125	7	shi	shi	PROPN
ajst-20821	125	8	p	p	X
ajst-20821	125	9	,	,	PUNCT
ajst-20821	125	10	bergmeir	bergmeir	PROPN
ajst-20821	125	11	c	c	NOUN
ajst-20821	125	12	,	,	PUNCT
ajst-20821	125	13	et	et	PROPN
ajst-20821	125	14	al	al	PROPN
ajst-20821	125	15	.	.	PUNCT
ajst-20821	126	1	sales	sale	NOUN
ajst-20821	126	2	demand	demand	NOUN
ajst-20821	126	3	forecast	forecast	NOUN
ajst-20821	126	4	in	in	ADP
ajst-20821	126	5	e	e	NOUN
ajst-20821	126	6	-	-	NOUN
ajst-20821	126	7	commerce	commerce	NOUN
ajst-20821	126	8	using	use	VERB
ajst-20821	126	9	a	a	DET
ajst-20821	126	10	long	long	ADJ
ajst-20821	126	11	short	short	ADJ
ajst-20821	126	12	-	-	PUNCT
ajst-20821	126	13	term	term	NOUN
ajst-20821	126	14	memory	memory	NOUN
ajst-20821	126	15	neural	neural	ADJ
ajst-20821	126	16	network	network	NOUN
ajst-20821	126	17	methodology[c]//neural	methodology[c]//neural	PROPN
ajst-20821	126	18	information	information	NOUN
ajst-20821	126	19	processing	processing	NOUN
ajst-20821	126	20	:	:	PUNCT
ajst-20821	126	21	26th	26th	NOUN
ajst-20821	126	22	231	231	NUM
ajst-20821	126	23	international	international	ADJ
ajst-20821	126	24	conference	conference	NOUN
ajst-20821	126	25	,	,	PUNCT
ajst-20821	126	26	iconip	iconip	VERB
ajst-20821	126	27	2019	2019	NUM
ajst-20821	126	28	,	,	PUNCT
ajst-20821	126	29	sydney	sydney	PROPN
ajst-20821	126	30	,	,	PUNCT
ajst-20821	126	31	nsw	nsw	PROPN
ajst-20821	126	32	,	,	PUNCT
ajst-20821	126	33	australia	australia	PROPN
ajst-20821	126	34	,	,	PUNCT
ajst-20821	126	35	december	december	PROPN
ajst-20821	126	36	12–15	12–15	NUM
ajst-20821	126	37	,	,	PUNCT
ajst-20821	126	38	2019	2019	NUM
ajst-20821	126	39	,	,	PUNCT
ajst-20821	126	40	proceedings	proceeding	NOUN
ajst-20821	126	41	,	,	PUNCT
ajst-20821	126	42	part	part	NOUN
ajst-20821	126	43	iii	iii	NUM
ajst-20821	126	44	26	26	NUM
ajst-20821	126	45	.	.	PUNCT
ajst-20821	127	1	springer	springer	NOUN
ajst-20821	127	2	international	international	ADJ
ajst-20821	127	3	publishing	publishing	NOUN
ajst-20821	127	4	,	,	PUNCT
ajst-20821	127	5	2019	2019	NUM
ajst-20821	127	6	:	:	PUNCT
ajst-20821	127	7	462	462	NUM
ajst-20821	127	8	-	-	NOUN
ajst-20821	127	9	474	474	NUM
ajst-20821	127	10	.	.	PUNCT
ajst-20821	128	1	[	[	X
ajst-20821	128	2	3	3	NUM
ajst-20821	128	3	]	]	X
ajst-20821	128	4	leung	leung	PROPN
ajst-20821	128	5	k	k	PROPN
ajst-20821	128	6	h	h	PROPN
ajst-20821	128	7	,	,	PUNCT
ajst-20821	128	8	mo	mo	PROPN
ajst-20821	128	9	d	d	PROPN
ajst-20821	128	10	y	y	PROPN
ajst-20821	128	11	,	,	PUNCT
ajst-20821	128	12	ho	ho	PROPN
ajst-20821	128	13	g	g	PROPN
ajst-20821	128	14	t	t	PROPN
ajst-20821	128	15	s	s	PROPN
ajst-20821	128	16	,	,	PUNCT
ajst-20821	128	17	et	et	PROPN
ajst-20821	128	18	al	al	PROPN
ajst-20821	128	19	.	.	PROPN
ajst-20821	128	20	modelling	model	VERB
ajst-20821	128	21	near	near	ADP
ajst-20821	128	22	-	-	PUNCT
ajst-20821	128	23	real	real	ADJ
ajst-20821	128	24	-	-	PUNCT
ajst-20821	128	25	time	time	NOUN
ajst-20821	128	26	order	order	NOUN
ajst-20821	128	27	arrival	arrival	NOUN
ajst-20821	128	28	demand	demand	NOUN
ajst-20821	128	29	in	in	ADP
ajst-20821	128	30	e	e	NOUN
ajst-20821	128	31	-	-	NOUN
ajst-20821	128	32	commerce	commerce	NOUN
ajst-20821	128	33	context	context	NOUN
ajst-20821	128	34	:	:	PUNCT
ajst-20821	128	35	a	a	DET
ajst-20821	128	36	machine	machine	NOUN
ajst-20821	128	37	learning	learn	VERB
ajst-20821	128	38	predictive	predictive	ADJ
ajst-20821	128	39	methodology[j	methodology[j	PROPN
ajst-20821	128	40	]	]	PUNCT
ajst-20821	128	41	.	.	PUNCT
ajst-20821	129	1	industrial	industrial	PROPN
ajst-20821	129	2	management	management	PROPN
ajst-20821	129	3	&	&	CCONJ
ajst-20821	129	4	data	datum	NOUN
ajst-20821	129	5	systems	system	NOUN
ajst-20821	129	6	,	,	PUNCT
ajst-20821	129	7	2020	2020	NUM
ajst-20821	129	8	,	,	PUNCT
ajst-20821	129	9	120(6	120(6	NUM
ajst-20821	129	10	):	):	PUNCT
ajst-20821	129	11	1149	1149	NUM
ajst-20821	129	12	-	-	SYM
ajst-20821	129	13	1174	1174	NUM
ajst-20821	129	14	.	.	PUNCT
ajst-20821	130	1	[	[	X
ajst-20821	130	2	4	4	X
ajst-20821	130	3	]	]	X
ajst-20821	130	4	shih	shih	PROPN
ajst-20821	130	5	y	y	PROPN
ajst-20821	130	6	s	s	PROPN
ajst-20821	130	7	,	,	PUNCT
ajst-20821	130	8	lin	lin	PROPN
ajst-20821	130	9	m	m	PROPN
ajst-20821	130	10	h.	h.	PROPN
ajst-20821	131	1	a	a	DET
ajst-20821	131	2	lstm	lstm	ADJ
ajst-20821	131	3	approach	approach	NOUN
ajst-20821	131	4	for	for	ADP
ajst-20821	131	5	sales	sale	NOUN
ajst-20821	131	6	forecasting	forecasting	NOUN
ajst-20821	131	7	of	of	ADP
ajst-20821	131	8	goods	good	NOUN
ajst-20821	131	9	with	with	ADP
ajst-20821	131	10	short	short	ADJ
ajst-20821	131	11	-	-	PUNCT
ajst-20821	131	12	term	term	NOUN
ajst-20821	131	13	demands	demand	NOUN
ajst-20821	131	14	in	in	ADP
ajst-20821	131	15	e	e	NOUN
ajst-20821	131	16	-	-	ADJ
ajst-20821	131	17	commerce[c]//intelligent	commerce[c]//intelligent	ADJ
ajst-20821	131	18	information	information	NOUN
ajst-20821	131	19	and	and	CCONJ
ajst-20821	131	20	database	database	NOUN
ajst-20821	131	21	systems	system	NOUN
ajst-20821	131	22	:	:	PUNCT
ajst-20821	131	23	11th	11th	ADJ
ajst-20821	131	24	asian	asian	ADJ
ajst-20821	131	25	conference	conference	NOUN
ajst-20821	131	26	,	,	PUNCT
ajst-20821	131	27	aciids	aciid	NOUN
ajst-20821	131	28	2019	2019	NUM
ajst-20821	131	29	,	,	PUNCT
ajst-20821	131	30	yogyakarta	yogyakarta	PROPN
ajst-20821	131	31	,	,	PUNCT
ajst-20821	131	32	indonesia	indonesia	PROPN
ajst-20821	131	33	,	,	PUNCT
ajst-20821	131	34	april	april	PROPN
ajst-20821	131	35	8–11	8–11	PROPN
ajst-20821	131	36	,	,	PUNCT
ajst-20821	131	37	2019	2019	NUM
ajst-20821	131	38	,	,	PUNCT
ajst-20821	131	39	proceedings	proceeding	NOUN
ajst-20821	131	40	,	,	PUNCT
ajst-20821	131	41	part	part	NOUN
ajst-20821	131	42	i	i	PRON
ajst-20821	131	43	11	11	NUM
ajst-20821	131	44	.	.	PUNCT
ajst-20821	132	1	springer	springer	NOUN
ajst-20821	132	2	international	international	ADJ
ajst-20821	132	3	publishing	publishing	NOUN
ajst-20821	132	4	,	,	PUNCT
ajst-20821	132	5	2019	2019	NUM
ajst-20821	132	6	:	:	PUNCT
ajst-20821	132	7	244	244	NUM
ajst-20821	132	8	-	-	SYM
ajst-20821	132	9	256	256	NUM
ajst-20821	132	10	.	.	PUNCT
ajst-20821	133	1	[	[	X
ajst-20821	133	2	5	5	X
ajst-20821	133	3	]	]	X
ajst-20821	133	4	dabral	dabral	ADJ
ajst-20821	133	5	p	p	PROPN
ajst-20821	133	6	p	p	PROPN
ajst-20821	133	7	,	,	PUNCT
ajst-20821	133	8	murry	murry	PROPN
ajst-20821	133	9	m	m	PROPN
ajst-20821	133	10	z.	z.	PROPN
ajst-20821	133	11	modelling	modelling	NOUN
ajst-20821	133	12	and	and	CCONJ
ajst-20821	133	13	forecasting	forecasting	NOUN
ajst-20821	133	14	of	of	ADP
ajst-20821	133	15	rainfall	rainfall	NOUN
ajst-20821	133	16	time	time	NOUN
ajst-20821	133	17	series	series	PROPN
ajst-20821	133	18	using	use	VERB
ajst-20821	133	19	sarima[j	sarima[j	NOUN
ajst-20821	133	20	]	]	PUNCT
ajst-20821	133	21	.	.	PUNCT
ajst-20821	134	1	environmental	environmental	ADJ
ajst-20821	134	2	processes	process	NOUN
ajst-20821	134	3	,	,	PUNCT
ajst-20821	134	4	2017	2017	NUM
ajst-20821	134	5	,	,	PUNCT
ajst-20821	134	6	4(2	4(2	NUM
ajst-20821	134	7	):	):	PUNCT
ajst-20821	134	8	399	399	NUM
ajst-20821	134	9	-	-	SYM
ajst-20821	134	10	419	419	NUM
ajst-20821	134	11	.	.	PUNCT
ajst-20821	135	1	[	[	X
ajst-20821	135	2	6	6	NUM
ajst-20821	135	3	]	]	PUNCT
ajst-20821	135	4	dubey	dubey	VERB
ajst-20821	135	5	a	a	DET
ajst-20821	135	6	k	k	PROPN
ajst-20821	135	7	,	,	PUNCT
ajst-20821	135	8	kumar	kumar	PROPN
ajst-20821	135	9	a	a	PROPN
ajst-20821	135	10	,	,	PUNCT
ajst-20821	135	11	garcía	garcía	ADJ
ajst-20821	135	12	-	-	PUNCT
ajst-20821	135	13	díaz	díaz	NOUN
ajst-20821	135	14	v	v	NOUN
ajst-20821	135	15	,	,	PUNCT
ajst-20821	135	16	et	et	PROPN
ajst-20821	135	17	al	al	PROPN
ajst-20821	135	18	.	.	PROPN
ajst-20821	135	19	study	study	NOUN
ajst-20821	135	20	and	and	CCONJ
ajst-20821	135	21	analysis	analysis	NOUN
ajst-20821	135	22	of	of	ADP
ajst-20821	135	23	sarima	sarima	NOUN
ajst-20821	135	24	and	and	CCONJ
ajst-20821	135	25	lstm	lstm	NOUN
ajst-20821	135	26	in	in	ADP
ajst-20821	135	27	forecasting	forecasting	NOUN
ajst-20821	135	28	time	time	NOUN
ajst-20821	135	29	series	series	PROPN
ajst-20821	135	30	data[j	data[j	PROPN
ajst-20821	135	31	]	]	PUNCT
ajst-20821	135	32	.	.	PUNCT
ajst-20821	136	1	sustainable	sustainable	ADJ
ajst-20821	136	2	energy	energy	NOUN
ajst-20821	136	3	technologies	technology	NOUN
ajst-20821	136	4	and	and	CCONJ
ajst-20821	136	5	assessments	assessment	NOUN
ajst-20821	136	6	,	,	PUNCT
ajst-20821	136	7	2021	2021	NUM
ajst-20821	136	8	,	,	PUNCT
ajst-20821	136	9	47	47	NUM
ajst-20821	136	10	:	:	SYM
ajst-20821	136	11	101474	101474	NUM
ajst-20821	136	12	.	.	PUNCT