基于Web日志挖掘的Markov预测模型及算法研究

Research of Markov Prediction Model and Algorithm Based on Web Log Mining

通过Web日志挖掘技术可分析用户访问模式,从而为客户提供智能化、个性化服务。马尔可夫(Markov)模型的链式结构简便易行,适合作为一个预测模型来预测用户的页面访问模式。就此对Markov预测模型进行深入研究,描述了其实现算法,并结合实例对混合Markov预测模型方法进行了验证。

Through Web log mining technology ,We can analyze user＇s browsing patterns and provide intelligent and personalized service. The chain structure of Markov model is convenient and easy for forecasting user＇s browsing patterns. This paper studies for Markov prediction model deeply,introduces it＇s realizable algorithm and validates the method of mixed Markov model through an example.