Speeding up web access using weighted association rules

Authors:
Abhinav Srivastava;Abhijit Bhosale;Shamik Sural
Affiliations:
School of Information Technology, Indian Institute of Technology, Kharagpur;School of Information Technology, Indian Institute of Technology, Kharagpur;School of Information Technology, Indian Institute of Technology, Kharagpur
Venue:
PReMI'05 Proceedings of the First international conference on Pattern Recognition and Machine Intelligence
Year:
2005

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Abstract

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.