Lessons from the Application of Domain-Independent Data Mining System for Discovering Web User Access Patterns

  • Leszek Borzemski
  • Adam Druszcz
Conference paper

DOI: 10.1007/11893011_100

Part of the Lecture Notes in Computer Science book series (LNCS, volume 4253)
Cite this paper as:
Borzemski L., Druszcz A. (2006) Lessons from the Application of Domain-Independent Data Mining System for Discovering Web User Access Patterns. In: Gabrys B., Howlett R.J., Jain L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2006. Lecture Notes in Computer Science, vol 4253. Springer, Berlin, Heidelberg

Abstract

This paper presents the usage of a general domain-independent data mining system in discovering of the Web user access patterns. DB2 Intelligent Miner for Data was successfully used in data mining of a huge Web log which was collected during the World FIFA Cup 1998. The clustering, associations and sequential pattern mining functions were considered in the context of Web usage mining. The clustering method was found the most profitable and the discovered usage patterns can be used in Web personalization and recommendation systems.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Leszek Borzemski
    • 1
  • Adam Druszcz
    • 1
  1. 1.Institute of Information Science and EngineeringWroclaw University of TechnologyWroclawPoland

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