Similarity measurement of Web sessions based on sequence alignment

Author:

Li Chaofeng,Lu Yansheng

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Reference14 articles.

1. Wang W, Zaane O R. Clustering Web Sessions by Sequence Alignment[C]// Proceedings of the 13th International Workshop on Database and Expert Systems Applications. Washington D C: IEEE Computer Society, 2002: 394–398.

2. Jaideep S, Robert C, Mukund D, et al. Web Usage Mining: Discovery and Applications of Usage Patterns from Web Data[J]. SIGKDD Explorations, 2000, 1(2):1–12.

3. Mobasher B, Dai H, Nakagawa M, et al. Discovery and Evaluation of Aggregate Usage Profiles for Web Personalization[J]. Data Mining and Knowledge Discovery, 2002, 6(1): 61–82.

4. Shahabi C, Kashani F B. A Framework for Efficient and Anonymous Web Usage Mining Based on Client-Side Tracking [C]//WEBKDD-Mining Web Log Data across All Customer Touch Points, Third International Workshop. San Francisco: Springer-Verlag, 2001:113–143.

5. Zhang Feng, Chang Huyou. Research and Development in Web Usage Mining System-Key Issues and Proposed Solutions: a Survey[J]. Machine Learning and Cybernetics, 2002, (2):986–990.

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