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

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Knowledge-Based Intelligent Information and Engineering Systems (KES 2006)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4253))

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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Author information

Authors and Affiliations

  1. Institute of Information Science and Engineering, Wroclaw University of Technology, Wybrzeze Wyspianskiego 27, 50-370, Wroclaw, Poland

    Leszek Borzemski & Adam Druszcz

Authors
  1. Leszek Borzemski
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  2. Adam Druszcz
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Editor information

Editors and Affiliations

  1. School of Design, Engineering and Computing, Bournemouth University, UK

    Bogdan Gabrys

  2. Centre for SMART Systems, School of Environment and Technology, University of Brighton, BN2 4GJ, Brighton, UK

    Robert J. Howlett

  3. School of Electrical and Information Engineering, Knowledge Based Intelligent Engineering Systems Centre, University of South Australia, Mawson Lakes, 5095, SA, Australia

    Lakhmi C. Jain

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© 2006 Springer-Verlag Berlin Heidelberg

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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. https://doi.org/10.1007/11893011_100

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  • DOI: https://doi.org/10.1007/11893011_100

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-46542-3

  • Online ISBN: 978-3-540-46544-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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