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2011•Modern Electronics TechniqueRequires access

Research on Web Mining Based on Association Rules

Dong Wei-min

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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.

About this research paper

What this paper is about

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.

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Key contribution

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Method / approach

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Available 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.

Key concepts: Association rule learning, Web mining, Data mining, Computer science, Association (psychology), Simple (philosophy), Order (exchange), Web page

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