Mining Access Patterns Efficiently from Web Logs-Reference-Cited by-同舟云学术

Mining Access Patterns Efficiently from Web Logs

Published:2000 Issue: Volume: Page:396-407
ISSN:0302-9743
Container-title:Knowledge Discovery and Data Mining. Current Issues and New Applications
language:
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Author:

Pei Jian,Han Jiawei,Mortazavi-asl Behzad,Zhu Hua

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/3-540-45571-X_47

Reference15 articles.

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2. R. Agrawal and R. Srikant. Mining sequential patterns. In Proc. 1995 Int. Conf. Data Engineering, pages 3–14, Taipei, Taiwan, March 1995.

3. C. Bettini, X. Sean Wang, and S. Jajodia. Mining temporal relationships with multiple granularities in time sequences. Data Engineering Bulletin, 21:32–38, 1998.

4. R. Cooley, B. Mobasher, and J. Srivastava. Data preparation for mining World Wide Web browsing patterns. In Journal of Knowledge & Information Systems, Vol.1, No. l, 1999.

5. J. Graham-Cumming. Hits and misses: A year watching the Web. In Proc. 6th Int’l World Wide Web Conf., Santa Clara, California, April 1997.

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