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Blockmodeling Techniques for Web Mining

  • Conference paper
Compstat

Abstract

The aim of this paper is to introduce the concept of blockmodeling to Web data (log files), in order to obtain clusters of units (visited pages) which have similar patterns of relationships and to interpret the pattern of relationships among clusters. Doing this we can study the behaviour of the users (sessions) according to the relations among the visited pages. To explain these concepts an application to a Web site is performed.

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References

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Author information

Authors and Affiliations

  1. Dipartimento di Scienze Economiche e Statistiche, Università di Trieste, Piazzale Europa 1, 34127, Trieste, Italy

    Gabriella Schoier

Authors
  1. Gabriella Schoier
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Editor information

Editors and Affiliations

  1. CASE — Centre of Applied Statistics and Economics, Humboldt-Universität zu Berlin, Spandauer Straße 1, 10178, Berlin, Germany

    Wolfgang Härdle

  2. Wirtschaftswissenschaftliche Fakultät, Institut für Statistik und Ökonometrie, Humboldt-Universität zu Berlin, Spandauer Straße 1, 10178, Berlin, Germany

    Bernd Rönz

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© 2002 Springer-Verlag Berlin Heidelberg

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Schoier, G. (2002). Blockmodeling Techniques for Web Mining. In: Härdle, W., Rönz, B. (eds) Compstat. Physica, Heidelberg. https://doi.org/10.1007/978-3-642-57489-4_26

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  • DOI: https://doi.org/10.1007/978-3-642-57489-4_26

  • Publisher Name: Physica, Heidelberg

  • Print ISBN: 978-3-7908-1517-7

  • Online ISBN: 978-3-642-57489-4

  • eBook Packages: Springer Book Archive

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