2002 ClusteringWebSessions

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Subject Headings: Web Session Clustering Task.

Notes

Quotes

Abstract

  • In the context of Web mining, clustering could be used to cluster similar click-streams to determine learning behaviours in the case of e-learning, or general site access behaviours in e-commerce. Most of the algorithms presented in the literature to deal with clustering Web sessions treat sessions as sets of visited pages within a time period and don't consider the sequence of the click-stream visitation. This has a significant consequence when comparing similarities between Web sessions. We propose in this paper a new algorithm based on sequence alignment to measure similarities between Web sessions where sessions are chronologically ordered sequences of page accesses.,


 AuthorvolumeDate ValuetitletypejournaltitleUrldoinoteyear
2002 ClusteringWebSessionsWeinan Wang
Osmar R. Zaïane
Clustering Web Sessions by Sequence Alignmenthttp://www.cs.ualberta.ca/~zaiane/postscript/dexa2002.pdf2002