A fine grained heuristic to capture web navigation patterns

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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

Authors

José Borges	Department of Computer Science, University College London, Gower Street, London WC1E 6BT, U.K.
Mark Levene	Department of Computer Science, University College London, Gower Street, London WC1E 6BT, U.K.

Publisher

ACM New York, NY, USA

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Downloads (6 Weeks): 11, Downloads (12 Months): 56, 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.

	1	[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.
	2	José Borges , Mark Levene, Data Mining of User Navigation Patterns, Revised Papers from the International Workshop on Web Usage Analysis and User Profiling, p.92-111, August 15, 1999
	3	José Borges , Mark Levene, An Heuristic to Capture Longer User Web Navigation Patterns, Proceedings of the First International Conference on Electronic Commerce and Web Technologies, p.155-164, September 04-06, 2000
	4	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]
	5	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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	17	Stuart Schechter , Murali Krishnan , Michael D. Smith, Using path profiles to predict HTTP requests, Computer Networks and ISDN Systems, v.30 n.1-7, p.457-467, April 1, 1998
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	19	Jaideep Srivastava , Robert Cooley , Mukund Deshpande , Pang-Ning Tan, Web usage mining: discovery and applications of usage patterns from Web data, ACM SIGKDD Explorations Newsletter, v.1 n.2, January 2000 [doi>10.1145/846183.846188]
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CITED BY 7

	Ernestina Menasalvas , Oscar Marbán , Socorro Millán , Jose M. Peña, Intelligent Web mining, Intelligent exploration of the web, Physica-Verlag GmbH, Heidelberg, Germany, 2003
	Søren Jespersen , Torben Bach Pedersen , Jesper Thorhauge, Evaluating the markov assumption for web usage mining, Proceedings of the 5th ACM international workshop on Web information and data management, November 07-08, 2003, New Orleans, Louisiana, USA
	Jun Wook Lee , Ok Hyun Paek , Keun Ho Ryu, Temporal moving pattern mining for location-based service, Journal of Systems and Software, v.73 n.3, p.481-490, November-December 2004
	Tsuyoshi Murata, Discovery of user communities based on terms of web log data, New Generation Computing, v.25 n.3, p.293-303, January 2007
	Tsuyoshi Murata, Discovery of User Communities from Web Audience Measurement Data, Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence, p.673-676, September 20-24, 2004
	Yuming Zhou , Hareton Leung , Pinata Winoto, MNav: A Markov Model-Based Web Site Navigability Measure, IEEE Transactions on Software Engineering, v.33 n.12, p.869-890, December 2007
	Thomas Beauvisage, The dynamics of personal territories on the web, Proceedings of the 20th ACM conference on Hypertext and hypermedia, June 29-July 01, 2009, Torino, Italy