基于遗传算法的Web使用挖掘研究

Research on Web Usage Mining Based on Genetic Algorithm

针对Web使用挖掘中的信息,提出一种基于遗传算法的关联规则挖掘模型,同时结合实例对有关信息特征进行量化,然后利用实数数组的方法进行编码以及构造适应度函数,挖掘出隐含在用户注册登记信息库中的有关用户规则.为个性化服务系统提供准确和可行的关联规则,并对用户的行为进行了预测和分析.

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.