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International Conference on Data Warehousing and Knowledge Discovery

DaWaK 2002: Data Warehousing and Knowledge Discovery pp 83–93Cite as

Building and Exploiting Ad Hoc Concept Hierarchies for Web Log Analysis

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2454))

Abstract

Web usage mining aims at the discovery of interesting usage patterns from Web server log files. “Interestingness” relates to the business goals of the site owner. However, business goals refer to business objects rather than the page hits and script invocations recorded by the site server. Hence, Web usage analysis requires a preparatory mechanism that incorporates the business goals, the concepts reflecting them and the expert’s background knowledge on them into the mining process. To this purpose, we present a methodology and a mechanism for the establishment and exploitation of application-oriented concept hierarchies in Web usage analysis. We demonstrate our approach on a real data set and show how it can substantially improve both the search for interesting patterns by the mining algorithm and the interpretation of the mining results by the analyst.

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Author information

Authors and Affiliations

  1. Department of E-Business, Leipzig Graduate School of Management, Leipzig

    Carsten Pohle & Myra Spiliopoulou

Authors
  1. Carsten Pohle
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  2. Myra Spiliopoulou
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Editor information

Editors and Affiliations

  1. Graduate School of Informatics, Kyoto University, Yoshida-Honmachi, Sakyo-ku, 606-8501, Kyoto, Japan

    Yahiko Kambayashi

  2. Institute for Computer Science and Business Informatics, University of Vienna, Liebiggasse 4, 1010, Vienna, Austria

    Werner Winiwarter

  3. Center for Spatial Information Science (CSIS), University of Tokyo, 4-6-1, Komaba, Meguro-ku, 153-8904, Tokyo, Japan

    Masatoshi Arikawa

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© 2002 Springer-Verlag Berlin Heidelberg

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Pohle, C., Spiliopoulou, M. (2002). Building and Exploiting Ad Hoc Concept Hierarchies for Web Log Analysis. In: Kambayashi, Y., Winiwarter, W., Arikawa, M. (eds) Data Warehousing and Knowledge Discovery. DaWaK 2002. Lecture Notes in Computer Science, vol 2454. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-46145-0_9

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  • DOI: https://doi.org/10.1007/3-540-46145-0_9

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-44123-6

  • Online ISBN: 978-3-540-46145-6

  • eBook Packages: Springer Book Archive

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