The Analysis of User Behavior Based on Web Usage Mining
基于Web使用挖掘的用户行为分析

Web services bring lots of logs which record information of user behavior. This paper discusses and researches the problem that how to extract the knowledge automatically and intelligently from mass logs. Based on web usage mining, it collects and pre-handles the click stream data. And then it analysis user behavior to find the new model using PF-tree's association rule mining arithmetic, develops valuable data for optimize website construction.