Research issues in web data mining

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 1676, Issue , 1999, Pages 303-312

  Madria, Sanjay Kumar ^a,b   Bhowmick, Sourav S ^a,b   Ng, W K ^a,b   Lim, E P ^a,b  

^a Purdue University   (United States)

^b NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

DATA WAREHOUSES; WAREHOUSES; WORLD WIDE WEB;

EXPLORATORY RESEARCH; IN CONTEXTS; RESEARCH ISSUES; WEB CONTENT MINING; WEB DATA MINING; WEB STRUCTURE MINING; WEB USAGE MINING; WEB WAREHOUSING;

DATA MINING;

EID: 84958053053     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-48298-9_32     Document Type: Conference Paper

References (16)

1. H. Vernon Leighton and J. Srivastava. Precision Among WWW Search Services (Search Engines): Alta Vista, Excite, Hotbot, Infoseek, Lycos. http://www.winona.msus.edu/isf/library-f/webind2/webind2.htm, 1997.
2. R. Cooley, B. Mobasher and J. Srivsatava. Web Mining: Information and Pattern Discovery on the Word Wide Web. In Proceedings of the 9th IEEE International Conference on Tools with AI (ICTAI’97), Nov. 1997.
3. Sourav S. Bhowmick, S. K. Madria, W.-K. Ng, E.-P. Lim, Web Bags: Are They Useful in Web Warehouse? In proceedings for 5th International Conference on Foundation of Data Organization, Japan, Nov. 1998.
4. T. Bray. Measuring the Web. In Proceedings of the 5th Intl. WWW Conference, Paris, France, 1996.
5. Wee-Keong Ng, Ee-Peng Lim, Chee-Thong Huang, Sourav Bhowmick, Fengqiong Qin. Web Warehousing: An Algebra for Web Information. In Proceedings of the IEEE Advances in Digital Libraries Conference, Santa Barbara, U.S.A., April 1998.
6. Shian-Hua Lin, Chi-Sheng Shih, Meng Chang Chen, et al. Extracting Classification Knowledge of Internet Documents with Mining Term Associations: A Semantic Approach. In Proceedings of 21st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Melbourne, Australia, 1998.
7. Sourav S. Bhowmick, W.-K. Ng, E.-P. Lim. Information Coupling in Web Databases. In Proceedings of the 17th International Conference on Conceptual Modelling(ER’98), Singapore, November 16-19, 1998.
8. D. Backman and J. Rubbin, Web Log Analysis: Finding a Recipe for Success. http://techweb.comp.com/nc/811/811cn2.html, 1997.
9. M.S. Chen, J. Han and P.S. Yu. Data Mining: An Overview from a Database Perspective. IEEE Transaction on Knowledge and Data Engineering, 8:866-833, 1996.
10. J. Pitkow, In Search of Reliable Usage Data on the WWW. In Proceedings of the 6th International World Wide Web Conference, Santa Clara, California, April, 1997.
11. K. Wang, H. Liu. Discovering Typical Structures of Documents: A Road Map Approach, ACM SIGIR, August 1998.
12. K. Wang, H. Liu. Schema Discovery for Semistructured Data. In Proceedings of International Conference on Knowledge Discovery and Data Mining, Newport Beach, AAAI, Aug. 1997.
13. S. Nestorov, S. Abiteboul, R. Motwani. Inferring Structure in Semistructured Data. In Proceedings of International Workshop on Management of Semistructured Data, 1997.
14. S. Nestorov, J. Ullman, J. Widom, S. Chawathe. Representative Objects: Concise Representations of Semistructured, Hierarchical Data. In proceedings of IEEE International Conference on Data Engineering, pp. 79-90, Birmingham, U.K., 1997.
15. D. Florescu, A. Levy, A. Mendelzon. Database Techniques for the World Wide Web, A Survey, SIGMOD Record, 1998.
16. Ellen, Spertus. ParaSite: Mining Structural Information on the Web. In proceedings of 6th International WWW Conference, April 1997.