Modeling navigation patterns of visitors of unstructured websites

Research and Development in Intelligent Systems XXII - Proceedings of AI 2005, the 25th SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence

Volumn , Issue , 2006, Pages 116-129

  Balog, K ^a   Hofgesang, P ^a   Kowalczyk, W ^a  

^a VU UNIVERSITY AMSTERDAM   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

INTELLIGENT SYSTEMS; NAVIGATION; TEXT MINING; WEBSITES;

FREQUENT SEQUENCES; GRAPHICAL REPRESENTATIONS; NAVIGATION PATTERNS; WEBLOGS;

AIR NAVIGATION;

EID: 84881460728     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-1-84628-226-3_10     Document Type: Conference Paper

References (22)

1. I. Agrawal, R., Imielinski, T., and Swami, A. (1993), Mining association rules between sets of items in large databases . In Proceedings of the ACM SIGMOD Conference on Management of Data, pages 207-216
2. Argamon-Engelson, S. and Dagan, I. (1999) . Commitee-based sample selection for probabilistic classifiers. Journal of Artificial Intelligence Research, (11):335-360, 1999
3. Baglioni,M., Ferrara, U., Romei, A., Ruggieri, S., and Turini, F. (2003), Preprocessing and Mining Web Log Data for Web Personalization. 8th Italian Conf. on Artificial Intelligence vol. 2829 of LNCS, p.237-249
4. Balog, K., (2004) . An Intelligent Support System for Developing Text Classifiers. MSc. Thesis, Vrije Universiteit Amsterdam, The Netherlands
5. Cadez, I. V., Heckerman, D., Meek, C., Smyth, P., and White, S. (2003), ModelBased Clustering and Visualization of Navigation Patterns on a Web Site. Data Mining and Knowledge Discovery, voL7 n.4, p.399-424
6. Chevalier, K., Bothorel, C., and Corruble, V. (2003), Discovering rich navigation patterns on a web site. Proceedings of the 6th International Conference on Discovery Science Hokkaido University Conference Hall, Sapporo, Japan
7. Cooley, R., Mobasher, B., Srivastava, J. (1999), Data Preparation for Mining World Wide Web Browsing Patterns . In Knowledge and Information System, voI.l(l), pages 5-32
8. Dumais, S.T., and H. Chen (2000). Hierarchical classification of web content. Proceedings of the 23rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'oo), August 2000, pages 256-263
9. Hay B., Wets, G., and Vanhoof K. (2003), Segmentation of visiting patterns on websites using a sequence alignment method. Journal of Retailing and Consumer Services voI.lO, p.145-153
10. Hofgesang, P.I., (2004) . Web usage mining. Structuring semantically enriched clickstream data. MSc. Thesis, Vrije Universiteit Amsterdam, The Netherlands
11. Jenamani, M., Mohapatra, P.K.J., and Ghose, S. (2003), A stochastic model of ecustomer behaviour . Electronic Commerce Research and Applications voL2, p.81-94
12. Kosala, R., and Blockeel, H. (2000). Web mining research : A survey, SIGKDD Explorations. Newsletter of the ACM Special Interest Group on Knowledge Discovery and Data Mining 2 (I), pp. 1-15, July, 2000
13. Mladenic, D. (1998). Turning Yahoo to Automatic Web-Page Classifier. In H. Prade, editor, Proceedings of the 13th European Conference on Artificial Intelligence (ECAI98), pages 473-474
14. Mobasher, B., Jain, N., Han, E., and Srivastava, J. (1996), Web Mining: Pattern discovery from World Wide Web transactions. Technical Report TR 96-050, University of Minnesota, Dept. of Computer Science, Minneapolis
15. Nanopoulos A., Manolopoulos Y. (2001), Mining patterns from graph traversals . Data and Knowledge Engineering No. 37, pages 243-266
16. Nigam, K., McCallum, A.K., Thrun, S., and Mitchell, T. (2000). Text classification from labeled and unlabeled documents using EM. Machine Learning, Kluwer Acedemic Press, 39(2I3), pages 103-134
17. Pei, J., Han, J., Mortazavi-asl, B., and Zhu, H. (2000), Mining Access Patterns Efficiently from Web Logs. Proceedings of the 4th Pacific-Asia Conference on Knowledge Discovery and Data Mining, pages 396-407
18. Sebastiani, F. (2002), Machine learning in automated text categorization. ACM Computing Surveys, 34(1), pages 1-47
19. Schapire, R.E. and Singer, Y. (2000). Boostexter: A boosting-based system for text categorization. Machine Learning, 39(213), pages 135-168
20. Web Mining and Web Usage Mining Software, http ://www.kdnuggets. comlsoftwarelweb.html
21. Xing, D., and Shen, J. (2004), Efficient data mining for web navigation patterns. Information and Software Technology voI.46, pages 55-63
22. Yang, Q., Li T.I., and Wang K. (2003), Web-log Cleaning for Constructing Sequential Classifiers. Applied Artificial Intelligence vol. 17, issue 5-6, pages 431-441