Computer Engineering and Applications ›› 2009, Vol. 45 ›› Issue (36): 134-137.DOI: 10.3778/j.issn.1002-8331.2009.36.040

• 数据库、信号与信息处理 • Previous Articles     Next Articles

Method for mining weighted association rules based on context

XIE Fu-ding1,JIANG Rong1,ZHAO Feng-xia2   

  1. 1.Department of Computer and Information Technology,Liaoning Normal University,Dalian,Liaoning 116081,China
    2.Qinhuangdao Vocational College,Qinhuangdao,Hebei 066100,China
  • Received:2009-06-04 Revised:2009-10-12 Online:2009-12-21 Published:2009-12-21
  • Contact: XIE Fu-ding

基于背景的加权关联规则挖掘方法

谢福鼎1,姜 荣1,赵凤霞2   

  1. 1.辽宁师范大学 计算机与信息技术学院,辽宁 大连 116081
    2.秦皇岛职业技术学院,河北 秦皇岛 066100
  • 通讯作者: 谢福鼎

Abstract: This paper presents a method for mining association rules with weight based on context by introducing a weighted formula.The records are weighted according to time under the guidance of the recent-biased principle.The algorithm extracts association rules from the time-place context that users are interested in.Compared to the traditional methods,the relevant information with different granularity levels can be analyzed from lower granularity level to higher one in terms of mapping sequence of the concept.The approach is of advantage to policy maker for making more accurate decision analysis and more optimal strategies.

Key words: weighted association rules, context, recent-biased principle, time-weighted

摘要: 在时间越近越重要原则指导下,对记录进行时间加权,通过给出加权的公式,提出了一种基于背景的加权关联规则挖掘方法。该算法可以针对用户感兴趣的时间-地点背景进行关联规则挖掘。相比传统挖掘方法,该方法通过从低层次到高层次概念的序列映射,可以分析出不同粒度层次的相关信息,有利于决策者做出更准确的决策分析,制定更优的策略。

关键词: 加权关联规则, 背景, 时间越近越重要原则, 时间加权

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