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Mining Web Navigation Path Fragments

In: Measurement and Multivariate Analysis

Author

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  • Wolfgang Gaul

    (University of Karlsruhe, Institut für Entscheidungstheorie und Unternehmensforschung)

  • Lars Schmidt-Thieme

    (University of Karlsruhe, Institut für Entscheidungstheorie und Unternehmensforschung)

Abstract

Summary For many web usage mining applications like, e.g., user segmentation, it is crucial to compare navigation paths of different users. We model user navigation path fragments by generalized subsequences that take into consideration local deviations but still sketch the global user navigational behavior. This paper presents a new algorithm of apriori type for mining all generalized subsequences of user navigation paths with prescribed minimal occurrence from a given database.

Suggested Citation

  • Wolfgang Gaul & Lars Schmidt-Thieme, 2002. "Mining Web Navigation Path Fragments," Springer Books, in: Shizuhiko Nishisato & Yasumasa Baba & Hamparsum Bozdogan & Koji Kanefuji (ed.), Measurement and Multivariate Analysis, pages 249-260, Springer.
    • Handle: RePEc:spr:sprchp:978-4-431-65955-6_27
    DOI: 10.1007/978-4-431-65955-6_27
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