A Unified Approach to Web Usage Mining Based on Frequent Sequence Mining

Authors:
Nobuhiro Inuzuka;Jun-Ichi Hayakawa
Affiliations:
Nagoya Institute of Technology, Gokiso-cho Showa, Nagoya 466-8555, Japan;Nagoya Institute of Technology, Gokiso-cho Showa, Nagoya 466-8555, Japan
Venue:
KES '07 Knowledge-Based Intelligent Information and Engineering Systems and the XVII Italian Workshop on Neural Networks on Proceedings of the 11th International Conference
Year:
2007

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Abstract

This paper gives a method to treat Web usage mining as requent sequence mining. It provides a unified representation of three different types of source for Web usage mining. The source include an access log recorded in a Web server, the hypertext documents, and the hype-text structure or the graph of linkage. All of these information are represented as sequences. An efficient sequence mining PrefixSpanis inspected to mine with the unified information and an extension of PrefixSpanis proposed for our purpose. A preliminary experiment is also explained.