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 PrefixSpan is inspected to mine with the unified information and an extension of PrefixSpan is proposed for our purpose. A preliminary experiment is also explained.
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© 2007 Springer-Verlag Berlin Heidelberg
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Inuzuka, N., Hayakawa, Ji. (2007). A Unified Approach to Web Usage Mining Based on Frequent Sequence Mining. In: Apolloni, B., Howlett, R.J., Jain, L. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2007. Lecture Notes in Computer Science(), vol 4693. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74827-4_123
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DOI: https://doi.org/10.1007/978-3-540-74827-4_123
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74826-7
Online ISBN: 978-3-540-74827-4
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