Speeding Up Web Access Using Weighted Association Rules

  • Abhinav Srivastava
  • Abhijit Bhosale
  • Shamik Sural
Conference paper

DOI: 10.1007/11590316_106

Part of the Lecture Notes in Computer Science book series (LNCS, volume 3776)
Cite this paper as:
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

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.

Keywords

Data Mining Web Server Weighted Association Rule (WAR) 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Abhinav Srivastava
    • 1
  • Abhijit Bhosale
    • 1
  • Shamik Sural
    • 1
  1. 1.School of Information TechnologyIndian Institute of TechnologyKharagpur

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