| A fine grained heuristic to capture web navigation patterns |
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ACM SIGKDD Explorations Newsletter
archive
Volume 2 , Issue 1 (June 2000)
table of contents
Pages: 40 - 50
Year of Publication: 2000
ISSN:1931-0145
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Authors
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José Borges
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Department of Computer Science, University College London, Gower Street, London WC1E 6BT, U.K.
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Mark Levene
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Department of Computer Science, University College London, Gower Street, London WC1E 6BT, U.K.
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| Bibliometrics |
Downloads (6 Weeks): 7, Downloads (12 Months): 54, Citation Count: 7
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REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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[1] J. Borges and M. Levene. Mining association rules in hypertext databases. In Proc. of the fourth International Conference on Knowledge Discovery and Data Mining, pages 149-153, New York, USA, August 1998.
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Igor V. Cadez , Scott Gaffney , Padhraic Smyth, A general probabilistic framework for clustering individuals and objects, Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining, p.140-149, August 20-23, 2000, Boston, Massachusetts, United States
[doi> 10.1145/347090.347119]
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Igor Cadez , David Heckerman , Christopher Meek , Padhraic Smyth , Steven White, Visualization of navigation patterns on a Web site using model-based clustering, Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining, p.280-284, August 20-23, 2000, Boston, Massachusetts, United States
[doi> 10.1145/347090.347151]
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[8] C. Chatfield. Statistical inferences regarding markov chain models. Applied Statistics, 22:7-20, 1973.
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[11] R. Cooley, B. Mobasher, and J. Srivastava. Data preparation for mining world wide web browsing patterns. Knowledge and Information Systems, 1(1):5-32, February 1999.
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[14] M. Perkowltz and O. Etzioni. Adaptive web sites: an AI challenge. In Proc. of fifteenth International Joint Conference on Artificial Intelligence (IJCAI-97), pages 16-21, Nagoya, Japan, August 1997.
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[16] R. R. Sarukkai. Link prediction and path analysis using Markov chains. In Proceedings of the ninth International World Wide Web Conference, Amsterdam, Holland, 2000.
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[23] N. Zin and M. Levene. Constructing web-views from automated navigation sessions. In Proc. of the ACM Digital Libraries Workshop on Organizing Web Space, pages 54-58, Berkeley, California, August 1999.
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INDEX TERMS
Primary Classification:
H.
Information Systems
H.3
INFORMATION STORAGE AND RETRIEVAL
H.3.5
On-line Information Services
Subjects:
Web-based services
Additional Classification:
H.
Information Systems
H.2
DATABASE MANAGEMENT
H.2.8
Database applications
Subjects:
Data mining
H.5
INFORMATION INTERFACES AND PRESENTATION (I.7)
H.5.3
Group and Organization Interfaces
Nouns:
WEB
H.5.4
Hypertext/Hypermedia
Subjects:
Navigation
I.
Computing Methodologies
I.2
ARTIFICIAL INTELLIGENCE
I.2.8
Problem Solving, Control Methods, and Search
Subjects:
Heuristic methods
General Terms:
Algorithms,
Design,
Experimentation,
Management,
Measurement,
Performance,
Theory
Keywords:
hypertext probabilistic grammars,
navigation patterns,
usage mining
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