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Research on Web Usage Mining Based on Genetic Algorithm

Guohui Li

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Abstract

This paper gives a mining model of association rules based on genetic algorithm in order to mining the information of web usage log,and also quantify relevant information character by an example,code using an array of real numbers,structure a fitness function. Finally can mining user rules that hide in the user registration information. It provide accurate and viable association rules for personalized service systems,forecast and analyse the user's behavior.

About this research paper

What this paper is about

This paper gives a mining model of association rules based on genetic algorithm in order to mining the information of web usage log,and also quantify relevant information character by an example,code using an array of real numbers,structure a fitness function. Finally can mining user rules that hide in the user registration information. It provide accurate and viable association rules for personalized service systems,forecast and analyse the user's behavior.

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Key contribution

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Method / approach

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Available abstract

This paper gives a mining model of association rules based on genetic algorithm in order to mining the information of web usage log,and also quantify relevant information character by an example,code using an array of real numbers,structure a fitness function. Finally can mining user rules that hide in the user registration information. It provide accurate and viable association rules for personalized service systems,forecast and analyse the user's behavior.

Key concepts: Computer science, Association rule learning, Web mining, Data mining, Fitness function, Genetic algorithm, Order (exchange), Function (biology)

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