Title :
Mining Influence Correlation of Commodity Category Based on Sale Data Time Series
Author :
Geng, Xueyu ; Wang, Jinlong
Author_Institution :
Sch. of Civil Eng., Qingdao Technol. Univ., Qingdao
Abstract :
In business intelligence analysis, as an important tool, data mining can supply valuable knowledge to business company. This paper uses seller´s commodity sale time series data to investigate the correlations among commodity through data mining. Different from the traditional individual commodity correlation analysis, for reflecting the correlation among commodities, this paper investigates the relationship among category clustered by same type commodities.
Keywords :
competitive intelligence; data handling; data mining; sales management; time series; business intelligence analysis; commodity correlation analysis; commodity sale time series data; data mining; Civil engineering; Classification tree analysis; Companies; Data engineering; Data mining; Knowledge engineering; Manufacturing; Marketing and sales; Time measurement; Time series analysis;
Conference_Titel :
Advanced Computer Theory and Engineering, 2008. ICACTE '08. International Conference on
Conference_Location :
Phuket
Print_ISBN :
978-0-7695-3489-3
DOI :
10.1109/ICACTE.2008.203
