A fuzzy-rough method for concept-based document expansion

Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)

Volumn 3066, Issue , 2004, Pages 699-707

  Li, Yan ^a   Shiu, Simon Chi Keung ^a   Pal, Sankar Kumar ^b   Liu, James Nga Kwok ^a  

^a HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

^b INDIAN STATISTICAL INSTITUTE   (India)

Author keywords

[No Author keywords available]

Indexed keywords

INFORMATION RETRIEVAL; KNOWLEDGE ACQUISITION; THESAURI; VECTORS; WORLD WIDE WEB; INFORMATION SYSTEMS; ROUGH SET THEORY; SEARCH ENGINES;

CAONCEPT-BASED DOCUMENT EXPANSION; INFORMATION LOSSES; INFORMATION SYSTEMS; CORRESPONDING WEIGHTS; DOCUMENT EXPANSIONS; DOCUMENT REPRESENTATION; INCOMPLETE INFORMATION SYSTEMS; NEAREST NEIGHBORS; TEXT DOCUMENT; TEXT INFORMATION RETRIEVALS; TEXT RETRIEVAL;

FUZZY CONTROL; INFORMATION RETRIEVAL;

EID: 9444225946     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-25929-9_88     Document Type: Conference Paper

References (9)

1. Chung, Y. M. and Lee, J. Y., A corpus-based approach to comparative evaluation of statistical term association measures. Journal of the American Society for Information Science and Technology, vol. 52, no. 4, pp. 283-296, 2001.
2. th annual international ACM-SIGIR conference on research and development in information retrieval, pp. 2-11, ACM Press, NY, 1993.
3. Mandala, R., Tokunaga, T., and Tanaka, H., Query expansion using heterogeneous thesauri. Information Processing and Management, vol. 36, no. 3, pp. 361-378,1998.
4. th annual international ACM-SIGIR conference on research and development in information retrieval, pp. 160-169, ACM Press, NY, 1993.
5. Pawlak Z., Rough sets, International Journal of Computer and Information Science, vol. 11, pp. 341-356, 1982.
6. Pawlak Z., Rough sets: Theoretical aspects of reasoning about data, Dordrecht: Kluwer, 1991
7. Leung, Y. and Li, D., Maximal consistent block technique for rule acquisition in incomplete information systems. Information Sciences, vol. 153, pp. 85-106, 2003.
8. Kryszkiewica, M., Rules in incomplete information systems, Information Sciences, vol. 113, pp. 271-292, 1999.
9. Orlowska E. (ed.), Incomplete information: Rough set analysis, Heidelberg: Physica-Verlag, 1998.