Cooperative strategy for web data mining and cleaning

Applied Artificial Intelligence

Volumn 17, Issue 5-6, 2003, Pages 443-460

  Li, Yuefeng ^a   Zhang, Chengqi ^b   Zhang, Shichao ^b,c  

^a QUEENSLAND UNIVERSITY OF TECHNOLOGY   (Australia)

^b UNIVERSITY OF TECHNOLOGY SYDNEY   (Australia)

^c GUANGXI NORMAL UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; INFORMATION RETRIEVAL; WORLD WIDE WEB;

MULTIPLE AGENTS; WEB DATA CLEANING; WEB DATA MINING;

DATA MINING;

EID: 0242628996     PISSN: 08839514     EISSN: 10876545     Source Type: Journal    
DOI: 10.1080/713827173     Document Type: Article

References (33)

1. Baeza-Yates, R., and B. Ribeiro-Neto. 1999. Modern Information Retrieval. Addison Wesley.
2. Baumgarten, A. 1999. Probabilistic solution to the selection and fusion problem in distributed information retrieval. In Proceedings of SIGIR'99, pages 246-253.
3. Callan, J.P., Z. Lu, and W. B. Croft. 1995. Searching distributed collections with inference networks. In Proceedings of SIGIR'95, pages 21-29.
4. Chen, M. S., J. Han, and P. S. Yu. 1996. Data mining: An overview from a database perspective. IEEE Transactions on Knowledge and Data Engineering 2000. 8(6):866-883.
5. Cheng, J., R. Greiner, J. Kelly, D. Bell, and W. Liu. 2000. Learning Bayesian networks from data: An information-theory based approach. Artificial Intelligence 137:43-90.
6. Durfee, E. H. 1999. Distributed problem solving and planning. In Multiagent Systems: A modern Approach to Distributed Artificial Intelligence, ed. G. Weiss, 121-126. Cambridge, MA: The MIT Press.
7. Etzioni, O. 1995. Results from using the metacrawler. In Proceedings of 4th WWW Conference, eds: F. Varela and P. Bourgin. Cambridge, MA: The MIT Press.
8. Etzioni O., and D. Weld. 1994. A softbotbased interface to the Internet. Communications of the ACM 37(7):72-76.
9. Fayyad, U.G., Piatetsky-Shapiro, P. Smyth, and R. Uthrusamy, eds., 1996. Advances in Knowledge Discovery and Data mining. Menlo Park, CA: AAAI Press The MIT Press.
10. Fuhr, N. 1999. A decision-theoretic approach to database selection in networked IR. ACM Transactions on Information Systems 17(3):229-249.
11. Grossman, D.A., and O. Frieder. 1998. Information Retrieval Algorithms and Heuristias. Boston, MA: Kluwer Academic Publishers.
12. Guan, J. W., and D. A. Bell. 1991. Evidence Theory and Its Applications, Volume 1, Studies in Computer Science and Artificial Intelligence 7. Elsevier, North-Holland.
13. Jennings, N. R., K. Sycara, and M. Woolridge. 1998. A roadmap of agent research and development. Autonomous Agents and Multi-Agent Systems 1(1):7-38.
14. Lesser, V., et al. 2000. BIG: An agent for resource-bounded information gathering and decision making. Artificial Intelligence 118:197-244.
15. Lesser, V., and S. Zilberstein. 1996. Intelligent information gathering for decision models. Computer Science Technical Report TR-96-35, University of Massachusetts at Amherst.
16. Levy A. Y., and D. S. Weld. 2000. Intelligent Internet systems. Artificial Intelligence 118:1-14.
17. Li, Y. 2000. Modelling intelligent agents for Wed-based information gathering. Ph.D. Thesis, Deakin University.
18. Li, Y. 2001. Information fusion for intelligent agent-based information gathering. In Web Intelligence: Research and Development (First Asia-Pacific Conference, WI 2001, Japan), LNAI 2198, Springer.
19. Li, Y., and C. Zhang. 1998. A method for combining interval structures. In Proceedings of 7th International Conference on Intelligence Systems, pages 9-13, Paris, France.
20. Li, Y. and C. Zhang. 2000. Perceiving environments for intelligent agents. In Proceedings of 6th Pacific Rim International Conference on Artificial Intelligence., pages 299-307. Melbourne, Lecture Notes in Artificial Intelligence 1886, Springer-Verlag.
21. Li, Y., C. Zhang, and J. R. Swan. 2000. Information filtering model on the Web and its application in Job Agent. Knowledge-based Systems, 13(5):285-296
22. Maes, P. 1994. Agents that reduce work and information overload. Communications of the ACM 37(7).
23. Mitchell, T. et al. 1994. Experience with a learning personal assistant. Communications of the ACM 37(7).
24. Meng, W., K. Liu, C. Yu, X. Wang, Y. Chang, and N. Rishe. 1998. Determining text databases to search in the Internet. In: Proceedings of 24th VLDB Conference. Extended version.
25. Mostafa, J., W. Lam, and M. Palakal. 1997. A multilevel approach to intelligent information filtering: model, system, and evaluation. ACM Transactions on Information Systems 15(4):368-399.
26. Moukas, A., and P. Maes. 1998. Amalthaea: An evolving multi-agent information filtering and discovery system for the WWW. Autonomous Agents and Multi-Agent Systems 1(1):59-88.
27. Runkler, T. A. and J. C. Bezdek. 2003. Web mining with relational clustering. International Journal of Approximate Reasoning, to appear.
28. Shafer, G. 1976. A Mathematical Theory of Evidence. Princeton University Press.
29. Smets, P., and R. Kennes. 1994. The transferable belief model. Artificial Intelligence 66:191-234.
30. Voorhees, E.M., N. K. Gupta, and B. Johnson-Laird. 1995. The collection fusion problem. In Proceedings of TREC-3, pages 95-104.
31. Wong, S.K.M., L. S. Wang, and Y.Y. Yao. 1992. Interval structure: A framework for representing uncertain information. In Proceedings of the Eighth Conference on Uncertainty in Artificial Intelligence, California, pages 336-343.
32. Zhang, C. 1992. Cooperation under uncertainty in distributed expert systems. Artificial Intelligence 56(1): 21-69.
33. Zhang, C. and S. Zhang. 2002. Association Rules Mining: Models and Algorithms, Springer-Verlag Publishers in Lecture Notes on Computer Science, Volume 2307, Springer-Verlag.