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Clustering Web Sessions by Sequence Alignment

Full Text: dexa2002.pdf PDF

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.

Citation

W. Wang, O. Zaiane. "Clustering Web Sessions by Sequence Alignment". International Workshop on Management of Information on the Web, pp 394-398, September 2002.

Keywords:  
Category: In Workshop

BibTeX

@misc{Wang+Zaiane:02,
  author = {Weinan Wang and Osmar R. Zaiane},
  title = {Clustering Web Sessions by Sequence Alignment},
  Pages = {394-398},
  booktitle = {International Workshop on Management of Information on the Web},
  year = 2002,
}

Last Updated: February 04, 2020
Submitted by Sabina P

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