Relationships between Web users as attributes for Web access patterns clustering

Clustering Web access patterns in Web usage mining is an effective way to help Web site designers understanding Web users'characteristic and needs.An effective method is proposed to cluster Web access patterns.Whether a Web page is visited or not and time duration on it disclose Web users'interest.They are denoted by the corresponding item in vector of Web access pattern with the same length.Furthermore,relationships among Web access patterns are characterized and added into vector of Web access pattern.Then extended vector of Web access patterns are formed and clustered effectively by rough k-means.The clustering results are more reasonably by analysis of an example and experiment.They can be adopted to design personalized website.