Using information filtering in Web data mining process

Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence, WI 2007

Volumn , Issue , 2007, Pages 163-169

  Zhou, Xujuan ^a   Li, Yuefeng ^a   Bruza, Peter ^a   Wu, Sheng Tang ^a   Xu, Yue ^a   Lau, Raymond Y K ^b  

^a QUEENSLAND UNIVERSITY OF TECHNOLOGY   (Australia)

^b CITY UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

[No Author keywords available]

Indexed keywords

ADMINISTRATIVE DATA PROCESSING; DATA MINING; DATABASE SYSTEMS; DECISION SUPPORT SYSTEMS; INFORMATION MANAGEMENT; INFORMATION RETRIEVAL; INFORMATION SERVICES; MINING; SEARCH ENGINES; WAVE FILTERS; WORLD WIDE WEB;

DATA MINING TECHNIQUES; INFORMATION FILTERING; INTEGRATED INFORMATION; INTERNATIONAL CONFERENCES; REDUCED DATA; WEB DATA MINING; WEB INFORMATION; WEB INFORMATION RETRIEVAL; WEB INTELLIGENCE; WEB SEARCHES;

DATA PROCESSING;

EID: 48349137743     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WI.2007.106     Document Type: Conference Paper

References (20)

1. R. Agrawal and R. Srikant. Mining sequential patterns. In ICDE95, pages 3-14, 1995.
2. N. Belkin and B. Croft. Information filtering and information retrieval: Two sides of the same coin? Communications of the ACM, 35(2), December 1992.
3. K. Hammouda and M. Kamel. Sphrase-based document similarity based on an index graph model. In ICDM02, pages 203-210, 2002.
4. R. Y. K. Lau, P. Bruza, and D. Song. Belief revision for adaptive information retrieval. In SIGIR, pages 130-137, 2004.
5. Y. Li, C. Zhang, and S. Zhang. Cooperative strategy for web data mining and cleaning. Applied Artificial Intelligence, 17(5-6):443-460, 2003.
6. Y. Li and N. Zhong. Ontology-based web mining model. In IEEE/WIC International Conference on Web Intelligence, 2003.
7. Y. Li and N. Zhong. Web mining model and its applications for information gathering. Knowledge-Based Systems, 17:207-217, 2004.
8. Y. Li and N. Zhong. Mining ontolgoy for automatically acquiring web user information needs. IEEE Transactions on Knowledge and Data Engineering, 18:554-568, 2006.
9. Y. Li and N. Zhong. Mining rough association from text documents. In RSCTC, pages 368-377, 2006.
10. Y. Li and N. Zhong. Rough association rule mining in text documents for acquiring web user information needs. In IEEE/WIC/ACM International Conference on Web Intelligence, WI06, pages 226-232, 2006.
11. P. Maes. Agents that reduce work and information overload. Commun. ACM, 31(1)30-40, 1994.
12. B. Mobasher, H. Dai, T. Luo, Y. Sun, and J. Zhu. Combiningweb usage and content mining for more effective personalization. In International Conference on Ecommerce and Web Technologies, 2000.
13. J. Mostafa, S. Mukhopadhyay, W. Lam, and M. J. Palakal. A multilevel approach to intelligent information filtering: Model, system, and evaluation. ACM Trans. Inf. Syst., 15(4):368-399, 1997.
14. S. Mukhopadhyay, S. Peng, R. R. Raje, J. Mostafa, and M. J. Palakal. Distributed multi-agent information filtering - a comparative study. JASIST, 56(8):834-842, 2005.
15. G. Salton and M. McGill. Introduction to Modern Information Retrieval. McGraw-Hill, New York, 1983.
16. M. Wooldridge and N. R. Jennings. Agent theories, architectures, and languages: A survey. In ECAI Workshop on Agent Theories, Architectures, and Languages, pages 1-39, 1994.
17. S.-T. Wu, Y. Li, and Y. Xu. Deploying approaches for pattern refinement in text mining. In ICDM, pages 1157-1161, 2006.
18. S.-T. Wu, Y. Li, Y. Xu, B. Pham, and Y.-P. P. Chen. Automatic pattern-taxonomy extraction for web mining. In Web Intelligence, pages 242-248, 2004.
19. X. Yan, J. Han, and R. Afshar. Clospan: Mining closed sequential patterns in large datasets. In SDM2003, pages 166-177, 2003.
20. X. Zhou, Y. Li, Y. Xu, and R. Lau. Relevance assessment of topic ontology. In The Fourth International Conference on Active Media Technology, Relevance Assessment of Topic Ontology, 2006.