2002 ClusteringWebSessions
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- (Wang & Zaïane, 2002) ⇒ Weinan Wang, Osmar R. Zaïane. (2002). “Clustering Web Sessions by Sequence Alignment.” In: Proceedings of the 13th International Workshop on Database and Expert Systems Applications
Subject Headings: Web Session Clustering Task.
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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.
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| Author | volume | Date Value | title | type | journal | titleUrl | doi | note | year | |
|---|---|---|---|---|---|---|---|---|---|---|
| 2002 ClusteringWebSessions | Osmar R. Zaïane Weinan Wang | Clustering Web Sessions by Sequence Alignment | http://www.cs.ualberta.ca/~zaiane/postscript/dexa2002.pdf |