Mining Web Navigation Path Fragments

Wolfgang Gaul () and Lars Schmidt-Thieme ()
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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

A chapter in Measurement and Multivariate Analysis, 2002, pp 249-260 from Springer

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.

Keywords: Execution Time; Association Rule; Recommender System; Generalize Subsequence; Minimal Support (search for similar items in EconPapers)
Date: 2002
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-4-431-65955-6_27

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DOI: 10.1007/978-4-431-65955-6_27

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