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Web Usage Mining:A Novel Approach for Web User Session Construction
Neha Sharma, Pawan Makhija
Volume 15 Issue 3
Global Journal of Computer Science and Technology
Volume 15 Issue 3
Global Journal of Computer Science and Technology
The growth of World Wide Web is incredible as it can be seen in present days. Web usage mining plays an important role in the personalization of Web services, adaptation of Web sites, and the improvement of Web server performance. It applies data mining techniques to discover Web access patterns from Web log data. In order to discover access patterns, Web log data should be reconstructed into sessions. This paper provides a novel approach for session identification.
