计算机工程与应用 ›› 2008, Vol. 44 ›› Issue (17): 128-130.

• 数据库、信号与信息处理 • 上一篇    下一篇

加权关联规则挖掘算法在电子商务中的应用

余 波1,朱东华1,刘卓君2   

  1. 1.北京理工大学 管理与经济学院,北京 100081
    2.61062部队,北京 100091
  • 收稿日期:2007-12-17 修回日期:2008-03-03 出版日期:2008-06-11 发布日期:2008-06-11
  • 通讯作者: 余 波

Application study in E-business using weighted association rule mining algorithm

YU Bo1,ZHU Dong-hua1,LIU Zhuo-jun2   

  1. 1.School of Management and Economics,Beijing Institute of Technology,Beijing 100081,China
    2.61062 PLA Troops,Beijing 100091,China
  • Received:2007-12-17 Revised:2008-03-03 Online:2008-06-11 Published:2008-06-11
  • Contact: YU Bo

摘要: 介绍了关联规则的常用理论,研究了关联规则中的标准Apriori算法,针对其不足进行了有益的改进,提出了一种新的加权关联规则挖掘算法,并分析了其主要特点。通过把该算法用于电子商务数据挖掘中,并与标准Apriori算法的对比分析,证明了这种新的加权关联规则挖掘算法的有效性。

Abstract: Introduce the primary principle and theory of association rules,and study the standard Apriori algorithm.Following this,present a new weighted association rule mining algorithm against the shortages of the standard Apriori algorithm,and analyze the main traits of it.Then apply this new algorithm in E-business data mining,experimental results show that the new weighted association rule mining algorithm outperforms than the standard Apriori algorithm.