id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
ajst-20821	Zhao, Yiding	Research on E-Commerce Retail Demand Forecasting Based on SARIMA Model and K-means Clustering Algorithm	2024	6	.pdf	application/pdf	3134	154	48	In the case of less model data, BIC, AIC or autocorrelation graph is generally used to select p and q values in ARMA respectively. Keywords: E-commerce, demand forecasting, SARIMA model, k-means clustering.	cache/ajst-20821.pdf	txt/ajst-20821.txt