Speeding Up Web Access Using Weighted Association Rules
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- Srivastava A., Bhosale A., Sural S. (2005) Speeding Up Web Access Using Weighted Association Rules. In: Pal S.K., Bandyopadhyay S., Biswas S. (eds) Pattern Recognition and Machine Intelligence. PReMI 2005. Lecture Notes in Computer Science, vol 3776. Springer, Berlin, Heidelberg
In this paper, we propose a data mining technique for finding frequently used web pages. These pages may be kept in a server’s cache to speed up web access. Existing techniques of selecting pages to be cached do not capture a user’s surfing patterns correctly. We use a Weighted Association Rule (WAR) mining technique that finds pages of the user’s current interest and cache them to give faster net access. This approach captures both user’s habit and interest as compared to other approaches where emphasis is only on habit.
KeywordsData Mining Web Server Weighted Association Rule (WAR)
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