DocumentCode
2201096
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
fYear
2008
fDate
20-22 Dec. 2008
Firstpage
675
Lastpage
679
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Computer Theory and Engineering, 2008. ICACTE '08. International Conference on
Conference_Location
Phuket
Print_ISBN
978-0-7695-3489-3
Type
conf
DOI
10.1109/ICACTE.2008.203
Filename
4737042
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