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›› 2004, Vol. 21 ›› Issue (3): 358-365.DOI: 10.7523/j.issn.2095-6134.2004.3.012

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Fast Association Rule Mining in CRM

WANG FuDong1, Li Jie2, XUE JinSong1, ZHU YunLong1   

  1. 1. Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China;
    2. Shenyang Institute of Technology, Shenyang 110168, China
  • Received:2003-06-11 Revised:2004-03-22 Online:2004-05-10

Abstract:

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

CLC Number: