: Visit the Web site users will encounter a lot of problems, mainly due to Web sites the lack of adaptability to user needs. In order to improve the Web user s service quality and customer satisfaction, visit the Web site when users click-stream frequent sequential patterns formed on the basis of the distance function based on cluster analysis and time-based similarity function of the second cluster analysis algorithm. This algorithm can find frequent sequences relevance and reflect the user s homepage on the Internet for similarity, the next step to improve the Web site s structure and form so that site to achieve better results from the leading role

Packet : 109201249clusteringalgorithmofwebclickflowfrequencyattern.rar filelist
Clustering Algorithm of W eb Click Flow Frequency Pattern.pdf

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