Journal of University of Chinese Academy of Sciences >
Fast Association Rule Mining in CRM
Received date: 2003-06-11
Revised date: 2004-03-22
Online published: 2004-05-10
The analysis of cross selling is one of the important parts in analytical CRM. We present a constraint based association rules mining algorithm AApriori with the specified antecedent and the constrained consequent. The outcome of this algorithm can help enterprises use selling products to popularize products that are unpopular. At the same time, an algorithm CApriori that the consequent is specified and the antecedent is constraind is presented. It can effectively support enterprises to exploit the market of new products. The evaluation demonstrated that the algorithm AApriori and CApriori could quickly get exact information that the enterprise wants.
Key words： data mining; association rule; CRM
WANG FuDong , Li Jie , XUE JinSong , ZHU YunLong . Fast Association Rule Mining in CRM[J]. Journal of University of Chinese Academy of Sciences, 2004 , 21(3) : 358 -365 . DOI: 10.7523/j.issn.2095-6134.2004.3.012
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