Lessons from the application of domain-independent data mining system for discovering web user access patterns

Authors:
Leszek Borzemski;Adam Druszcz
Affiliations:
Institute of Information Science and Engineering, Wroclaw University of Technology, Wroclaw, Poland;Institute of Information Science and Engineering, Wroclaw University of Technology, Wroclaw, Poland
Venue:
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part III
Year:
2006

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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.