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Research on Application of Genetic Algorithm in Web Association Rules Mining

Zhiming Cui

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Abstract

Association rules are import basis of describing Web users' behavior characteristic. Traditional algorithms of Web associaion rules mining ,based on statistics, pays attention to to the analysis on providing data ,they can't offer effective predictive means and optimizing measure of feedback. This paper present a kind of system of the Web association rules mining based on genetic algorithm, whicn proves by experiment that it can mend the traditional Web association mining algorithm ,and it gives out a new idea for Web association rules mining.

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What this paper is about

Association rules are import basis of describing Web users' behavior characteristic. Traditional algorithms of Web associaion rules mining ,based on statistics, pays attention to to the analysis on providing data ,they can't offer effective predictive means and optimizing measure of feedback. This paper present a kind of system of the Web association rules mining based on genetic algorithm, whicn proves by experiment that it can mend the traditional Web association mining algorithm ,and it gives out a new idea for Web association rules mining.

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Available abstract

Association rules are import basis of describing Web users' behavior characteristic. Traditional algorithms of Web associaion rules mining ,based on statistics, pays attention to to the analysis on providing data ,they can't offer effective predictive means and optimizing measure of feedback. This paper present a kind of system of the Web association rules mining based on genetic algorithm, whicn proves by experiment that it can mend the traditional Web association mining algorithm ,and it gives out a new idea for Web association rules mining.

Key concepts: Computer science, Association rule learning, Web mining, Data mining, Association (psychology), Genetic algorithm, Measure (data warehouse), Web page

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