Feature selection and weighting method based on similarity rough set for CBR

2006 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2006

Volumn , Issue , 2006, Pages 948-952

  Jin, Tao ^a   Shen, Huizhang ^a  

^a Shanghai Jiao Tong University   (China)

Author keywords

CBR; Feature selection; Feature weighting; Similarity rough set

Indexed keywords

APPROXIMATION THEORY; CONTENT BASED RETRIEVAL; DATA REDUCTION; FEATURE EXTRACTION; ROUGH SET THEORY;

FEATURE WEIGHTING; SIMILARITY ROUGH SETS;

CASE BASED REASONING;

EID: 36048993447     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SOLI.2006.236147     Document Type: Conference Paper

References (13)

1. Shi Zhongzhi. Knowledge Discovery [M]. Beijing: Tsinghua University Press. 2002: pp.85-105 in Chinese
2. Pawlak Z. Rough sets [J]. International Journal of Information and Computer Science. 1982; 11: pp.341-356
3. Pawalk, Z. Rough Sets: Theoretical Aspects of Reasoning about Data [M], Dordrecht: Kluwer Academic Publishers. 1991.
4. Kalyan Moy Gupta, Philip G. Moore, David W. Aha, Sankar K. Pal. Rough Set Feature Selection Methods for Case-Based Categorization of Text Documents [C]. In S.K. Pal et al. (Eds.): PReMI 2005, LNCS 3776. Springer-Verlag Berlin Heidelberg, 2005: pp.792-798
5. Maria Salamo, Elisabet Golobardes. Analysing Rough Sets weighting methods for Case-Based Reasoning Systems.
6. Zhang Guangqian, Deng Shigui, Lv Wenyan. Inductive Retrieval Strategy Based on Rough Set [J]. Computer Engineer. 2003;29(16): pp.23-25 in Chinese
7. Maria Salamo, Elisabet Golobardes. Unifying Weighting and Case Reduction Methods Based on Rough Sets to Improve Retrieval [C]. In K.D. Ashley and D.G. Bridge (Eds.): ICCBR 2003, LNAI 2689. Springer-Verlag Berlin Heidelberg, 2003: pp.494-508
8. A.L. Blum, P. Langley. Selection of Relevant features and Examples in Machine Learning [J]. Artificial Intelligence, 1997; vol. 97: pp.245-271
9. Slowinski, R, Vanderpoonten D. Similarity relation as a basis for rough approximations [J]. Advances in Machine Intelligence and Soft Computing 1997:4, pp.17-33
10. th European Congress on Intelligent Techniques and Soft Computing, EUFIT 1997. Aachen, Germany. September 8-11, 1997: pp.1634-1638
11. th International Workshop on Rough Sets, Fuzzy Sets, and Machine Discovery. Tokyo, Japan. November 6-8, 1996: pp. 18-22.
12. Liqiang Geng, Christine W. Chan. Automated Case Generation from Databases Using Similarity-Based Rough Approximation [C]. In C.A. Coello et al. (Eds.): MICAI 2002, LNAI 2313. Springer-Verlag Berlin Heidelberg, 2002: pp.311-320
13. Sankar K.Pal, Pabitra Mitra. Case generation using rough sets with fuzzy representation [J]. IEEE Transactions on Knowledge and Data Engineering. 2004; 16(3): pp.292-300