计算机工程与应用 ›› 2009, Vol. 45 ›› Issue (7): 178-180.DOI: 10.3778/j.issn.1002-8331.2009.07.053

• 数据库、信号与信息处理 • 上一篇    下一篇

关联规则的鲁棒性分析与应用

李光军1,黄睿春2,陈 刚3   

  1. 1.武汉体育学院 信息技术系,武汉 430079
    2.武汉大学 数学与统计学院,武汉 430072
    3.武汉科技大学 计算机学院,武汉 430081
  • 收稿日期:2008-05-15 修回日期:2008-08-15 出版日期:2009-03-01 发布日期:2009-03-01
  • 通讯作者: 李光军

Analysis and application on robustness of association rules

LI Guang-jun1,HUANG Rui-chun2,CHEN Gang3   

  1. 1.Department of Information & Technology,Wuhan Institute of Physical Education,Wuhan 430079,China
    2.School of Mathematics and Statistic,Wuhan University,Wuhan 430072,China
    3.College of Computer Science & Technology,Wuhan University of Science & Technology,Wuhan 430081,China
  • Received:2008-05-15 Revised:2008-08-15 Online:2009-03-01 Published:2009-03-01
  • Contact: LI Guang-jun

摘要: 首先对采用支持度、置信度和改善度阈值来选择关联规则的不足进行了分析,然后引入规则的鲁棒性分析,提出了基于lift 条件下的关联规则鲁棒性判断,能够在若干规则中选择出鲁棒性高的规则,提供决策参考,最后给出了实例应用。

Abstract: Some shortages of association rules mining based on support-confidence and lift calculation are analyzed.Then the robustness of association rules are introduced to judge the interestingness of rules.The paper proposes a measure based on the robustness of association rules,which can be used to select high robustness rules for decision aiding.Finally an application is presented.