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基于关联规则的Web挖掘技术研究
引用本文:夏惠芬,董卫民.基于关联规则的Web挖掘技术研究[J].现代电子技术,2011,34(16):100-102.
作者姓名:夏惠芬  董卫民
作者单位:常州机电职业技术学院信息工程系,江苏常州,213164
基金项目:国家自然科学基金资助项目(60773049); 江苏省教育厅基金资助项目(609KJB520001)
摘    要:关联规则是Web挖掘中一个重要的研究领域。为了挖掘出隐藏在数据间的相互关系,将关联规则的概念引入到Web挖掘系统中,把用户的访问路径以关联规则的形式表现出来。基于Apriori算法的思想,给出了适合Web挖掘用户访问的新Apriori算法规则及其模式,最后将结果在一些较简单的网页上进行了验证,取得了较好的应用效果。

关 键 词:关联规则  数据挖掘  Apriori算法  Web挖掘

Research on Web Mining Based on Association Rules
XIA Hui-fen,DONG Wei-min.Research on Web Mining Based on Association Rules[J].Modern Electronic Technique,2011,34(16):100-102.
Authors:XIA Hui-fen  DONG Wei-min
Affiliation:XIA Hui-fen,DONG Wei-min(Department of Information Engineering,Changzhou Institute of Mechatronic Technology,Changzhou 213164,China)
Abstract:Association rules is an important area of Web mining.In order to dig out the hidden correlation among the data,the concept of association rules was introduced into the Web mining,and the user's access was expressed in the form of association rules.With the idea of Aporiori algorithm,the new Aporiori algorithm role and pattern appropriate for Web mining are presented.The results were verified in some simple webs,and a good result was obtained.
Keywords:association rule  data mining  Apriori algorithm  Web mining  
本文献已被 CNKI 维普 万方数据 等数据库收录!
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