Xing Dongshan,Song Qinbao,Shen Junyi
(School of electronics and Information Engineering,Xi'an Jiaotong Univercity 710049,China)
Abstract:A new fuzzy clustering algorithm of Web session is presented based on the analysis of the drawbacks of traditional methods. Firstly, set up a user access matrix whose element is viewing time discretization on the preparation of Web logs. Then, cluster similar user session group by fuzzy algorithm. Finally, classify active Web session. This algorithm is proved to have better accuracy, fewer CPU time and better scalability than others by the experiments. It can be widely used in the field of E-business, such as personalized Web and Web recommendation.
Keywords:time discretization;Web session;fuzzy clustering;Web usage mining