article

Free access

A fine grained heuristic to capture web navigation patterns

Authors:

José Borges,

Mark LeveneAuthors Info & Claims

ACM SIGKDD Explorations Newsletter, Volume 2, Issue 1

Pages 40 - 50

https://doi.org/10.1145/360402.360416

Published: 01 June 2000 Publication History

PDF eReader

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.

Digital Library

Google Scholar

[2]

{2} J. Borges and M. Levene. Data mining of user navigation patterns. In Proc. of the Web Usage Analysis and User Profiling Workshop, pages 31-36, San Diego, California, August 1999.

Google Scholar

[3]

{3} J. Borges and M. Levene. A heuristic to capture longer user web navigation patterns. In Proc. of the first International Conference on Electronic Commerce and Web Technologies, Greenwich, U.K., September 2000. To appear.

Digital Library

Google Scholar

[4]

{4} I. Cadez, S. Gaffney, and P. Smyth. A general probabilistic framework for clustering individuals. In Proceedings of the sixth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Boston, Massachusetts, August 2000. To appear.

Digital Library

Google Scholar

[5]

{5} I. Cadez, D. Heckerman, C. Meek, P. Smyth, and S. White. Visualization of navigation patterns on a web site using model based clustering. In Proceedings of the sixth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Boston, Massachusetts, August 2000. To appear.

Digital Library

Google Scholar

[6]

{6} L. D. Catledge and J. E. Pitkow. Characterizing browsing strategies in the world wide web. Computer Networks and ISDN Systems, 27(6):1065-1073, April 1995.

Digital Library

Google Scholar

[7]

{7} E. Charniak. Statistical Language Learning. The MIT Press, 1996.

Digital Library

Google Scholar

[8]

{8} C. Chatfield. Statistical inferences regarding markov chain models. Applied Statistics, 22:7-20, 1973.

Crossref

Google Scholar

[9]

{9} M.-S. Chen, J. S. Park, and P. S. Yu. Efficient data mining for traversal patterns. IEEE Transactions on Knowledge and Data Engineering, 10(2):209-221, March/April 1998.

Digital Library

Google Scholar

[10]

{10} J. Conklin. Hypertext: An introduction and survey. IEEE Computer, 20(9):17-41, September 1987.

Digital Library

Google Scholar

[11]

{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.

Digital Library

Google Scholar

[12]

{12} M. Levene and G. Loizou. A probabilistic approach to navigation in hypertext. Information Sciences, 114:165-186, 1999.

Digital Library

Google Scholar

[13]

{13} J. Nielsen. The art of navigating through hypertext. Communications of the ACM, 33(3):296-310, March 1990.

Digital Library

Google Scholar

[14]

{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.

Digital Library

Google Scholar

[15]

{15} M. Perkowitz and O. Etzioni. Adaptive sites: Automatically synthesizing web pages. In Proe. of the fifteenth National Conference on Artificial Intelligence (AAAI-98), pages 727- 732, Madison, Wisconsin, July 1998.

Crossref

Google Scholar

[16]

{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.

Digital Library

Google Scholar

[17]

{17} S. Schechter, M. Krishnan, and M. D. Smith. Using path profiles to predict http requests. Computer Networks and ISDN Systems, 30:457-467, 1998.

Digital Library

Google Scholar

[18]

{18} M. Spiliopoulou and L. C. Faulstich. WUM: a tool for web utilization analysis. In Proc. of the International Workshop on the Web and Databases (WebDB'98), pages 184-203, Valencia, Spain, March 1998.

Digital Library

Google Scholar

[19]

{19} J. Srivastava, R. Cooley, M. Deshpande, and P.-N. Tan. Web usage mining: Discovery and applications of usage patterns from web data. SIGKDD Explorations, 1(2):12-23, 2000.

Digital Library

Google Scholar

[20]

{20} R. Stout. Web Site Stats: tracking hits and analyzing traffic. Osborne McGraw-Hill, 1997.

Digital Library

Google Scholar

[21]

{21} C. S. Wetherell. Probabilistic languages: A review and some open questions. Computing Surveys, 12(4):361-379, December 1980.

Digital Library

Google Scholar

[22]

{22} T. W. Yan, M. Jacobsen, H. Garcia-Molina, and U. Dayal. From user access patterns to dynamic hypertext linking. In Proc. of the fifth International World Wide Web Conference, pages 1007-1014, Paris, France, May 1996.

Digital Library

Google Scholar

[23]

{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.

Google Scholar

Cited By

View all

Flouvat FSelmaoui-Folcher NSanhes JMu CPasquier CBoulicaut J(2020)Mining evolutions of complex spatial objects using a single-attributed Directed Acyclic GraphKnowledge and Information Systems10.1007/s10115-020-01478-962:10(3931-3971)Online publication date: 1-Oct-2020
https://dl.acm.org/doi/10.1007/s10115-020-01478-9
Mangal DSinghal SSharma D(2019)An Algorithm for Prediction of Web User Navigation Pattern and Restructuring of Web Structure Based on Visitor’s Web Access PatternAdvances in Computing and Data Sciences10.1007/978-981-13-9942-8_64(689-700)Online publication date: 19-Jul-2019
https://doi.org/10.1007/978-981-13-9942-8_64
Mangal DArya K(2014)An efficient approach for web path traversal pattern based on visitor preferences and navigation behavior2014 9th International Conference on Industrial and Information Systems (ICIIS)10.1109/ICIINFS.2014.7036508(1-5)Online publication date: Dec-2014
https://doi.org/10.1109/ICIINFS.2014.7036508
Show More Cited By

Index Terms

A fine grained heuristic to capture web navigation patterns

Recommendations

Identifying web navigation behaviour and patterns automatically from clickstream data

A user's clickstream, such as that which is found in server-side logs, can be a rich source of data concerning the ways in which a user navigates a site, but the volume and level of detail found in these logs makes it difficult to identify and ...
Visualizing web navigation patterns with factor analysis
AIC'07: Proceedings of the 7th Conference on 7th WSEAS International Conference on Applied Informatics and Communications - Volume 7

The process of collecting useful research and marketing information from the immense volume of log-data available through the web has been an interesting challenge during the past decade.

This paper proposes the use of the Factor Analysis method as a ...
Prediction of user navigation patterns by mining the temporal web usage evolution

Advances in the data mining technologies have enabled the intelligent Web abilities in various applications by utilizing the hidden user behavior patterns discovered from the Web logs. Intelligent methods for discovering and predicting user's patterns ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

ACM SIGKDD Explorations Newsletter Volume 2, Issue 1

June, 2000

84 pages

ISSN:1931-0145

EISSN:1931-0153

DOI:10.1145/360402

Editor:
Usama Fayyad
digiMine, Inc., Kirkland, WA

Issue’s Table of Contents

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 June 2000

Published in SIGKDD Volume 2, Issue 1

Check for updates

Author Tags

Qualifiers

Article

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

34
Total Citations
View Citations
616
Total Downloads

Downloads (Last 12 months)35
Downloads (Last 6 weeks)8

Reflects downloads up to 17 Jan 2025

Other Metrics

View Author Metrics

Citations

Cited By

View all

Flouvat FSelmaoui-Folcher NSanhes JMu CPasquier CBoulicaut J(2020)Mining evolutions of complex spatial objects using a single-attributed Directed Acyclic GraphKnowledge and Information Systems10.1007/s10115-020-01478-962:10(3931-3971)Online publication date: 1-Oct-2020
https://dl.acm.org/doi/10.1007/s10115-020-01478-9
Mangal DSinghal SSharma D(2019)An Algorithm for Prediction of Web User Navigation Pattern and Restructuring of Web Structure Based on Visitor’s Web Access PatternAdvances in Computing and Data Sciences10.1007/978-981-13-9942-8_64(689-700)Online publication date: 19-Jul-2019
https://doi.org/10.1007/978-981-13-9942-8_64
Mangal DArya K(2014)An efficient approach for web path traversal pattern based on visitor preferences and navigation behavior2014 9th International Conference on Industrial and Information Systems (ICIIS)10.1109/ICIINFS.2014.7036508(1-5)Online publication date: Dec-2014
https://doi.org/10.1109/ICIINFS.2014.7036508
Sanhes JFlouvat FSelmaoui-Folcher NPasquier CBoulicaut J(2013)Weighted path as a condensed pattern in a single attributed DAGProceedings of the Twenty-Third international joint conference on Artificial Intelligence10.5555/2540128.2540364(1642-1648)Online publication date: 3-Aug-2013
https://dl.acm.org/doi/10.5555/2540128.2540364
Beauvisage T(2013)Chapitre 9 - Compter, mesurer et observer les usages du web : outils et méthodesManuel d’analyse du web en Sciences Humaines et Sociales10.3917/arco.barat.2013.01.0187(187-211)Online publication date: 4-Feb-2013
https://doi.org/10.3917/arco.barat.2013.01.0187
Levene M(2010)BibliographyAn Introduction to Search Engines and Web Navigation10.1002/9780470874233.biblio(424-461)Online publication date: 4-Aug-2010
https://doi.org/10.1002/9780470874233.biblio
Beauvisage T(2009)The dynamics of personal territories on the webACM SIGWEB Newsletter10.1145/1592394.15923992009:Autumn(1-10)Online publication date: 1-Sep-2009
https://dl.acm.org/doi/10.1145/1592394.1592399
Beauvisage TCattuto CRuffo GMenczer F(2009)The dynamics of personal territories on the webProceedings of the 20th ACM conference on Hypertext and hypermedia10.1145/1557914.1557922(25-34)Online publication date: 29-Jun-2009
https://dl.acm.org/doi/10.1145/1557914.1557922
Zhou YLeung HWinoto P(2007)MNavIEEE Transactions on Software Engineering10.1109/TSE.2007.7074333:12(869-890)Online publication date: 1-Dec-2007
https://dl.acm.org/doi/10.1109/TSE.2007.70743
Murata T(2007)Discovery of User Communities Based on Terms of Web Log DataNew Generation Computing10.1007/s00354-007-0019-325:3(293-303)Online publication date: 1-May-2007
https://dl.acm.org/doi/10.1007/s00354-007-0019-3
Show More Cited By

View Options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

References

Cited By

Index Terms

Recommendations

Identifying web navigation behaviour and patterns automatically from clickstream data

Visualizing web navigation patterns with factor analysis

Prediction of user navigation patterns by mining the temporal web usage evolution

Comments

Information

Published In

Publisher

Publication History

Check for updates

Author Tags

Qualifiers

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

Cited By

View options

PDF

eReader

Login options

Full Access

Figures

Other

Share

Share this Publication link

Share on social media

Affiliations