Fuzzy entropy based max-relevancy and min-redundancy feature selection

2008 IEEE International Conference on Granular Computing, GRC 2008

Volumn , Issue , 2008, Pages 101-106

  An, Shuang ^a   Hu, Qinghua ^a   Yu, Daren ^a  

^a HARBIN INSTITUTE OF TECHNOLOGY   (China)

Author keywords

Feature selection; Fuzzy entropy; Max relevancy; Min redundancy; mRMR

Indexed keywords

ENTROPY; PATTERN RECOGNITION SYSTEMS; QUALITY ASSURANCE; REDUNDANCY; RELIABILITY;

FEATURE SELECTION; FUZZY ENTROPY; MAX-RELEVANCY; MIN-REDUNDANCY; MRMR;

FEATURE EXTRACTION;

EID: 57949099041     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/GRC.2008.4664740     Document Type: Conference Paper

References (15)

1. Z. Pawlak, Rough sets, Internat. J. Comput. Inform. Sci.11 (5) (1982) 341-356.
2. Z. Pawlak, Rough Sets - Theoretical Aspects ofReasoning about Data, Kluwer Academic Publishers, Dordrecht, 1991.
3. Z. Pawlak, Hard and soft sets, in: W.P. Ziarko (Ed.), Rough Sets, Fuzzy Sets and Knowledge Discovery, Springer, London, 1994, pp. 130-135.
4. R. Quinlan. Induction of decision trees. Machine learning, 1(1986) 81-106.
5. J. Wang, D. Miao. Analysis on attribute reduction strategies of rough set. J. of computer science and technology. 13 (1998) pp189-193.
6. U. M. Fayyad, K. B Irani. Multi-interval discrezation of continuous-valued attributes for classification learning. Proceeding of 13th international joint conference on artificial intelligence. (1993) 1022-1027.
7. J. Yao, M. Dash, S.T. Tan, H. Liu. Entropy-based fuzzy clustering and fuzzy modeling. Fuzzy Sets and Systems. 113 (2000) 381-388.
8. T.M. Cover and J.A. Thomas, Elements of Information Theory. John Wiley &Sons, 1991.
9. R. Battiti, "Using Mutual Information for Selecting Features in Supervised Neural Net Learning," IEEE Trans. Neural Networks, vol. 5, no. 4, pp. 537-550, July 1994.
10. N. Kwak and C.-H. Choi, "Improved Mutual Information Feature Selectorfor Neural Networks in Supervised Learning," Proc. 1999 Int'l Joint Conf.Neural Networks, July 1999.
11. N. Kwak and C.-H. Choi, "Input Feature Selection for Classification Problems," IEEE Trans. Neural Networks, 13(2002)143-159.
12. Hanchuan Peng, Fuhui Long, Chris Ding. Feature Selection Based on Mutual Information: Criteria of Max-Dependency, Max-Relevance, and Min-Redundancy. IEEE Transactions on pattern analysis and machine intelligence, vol. 27, No. 8, 2005.
13. Q. H. Hu, D. Yu, Z. Xie. Information-preserving hybrid data reduction based on fuzzy-rough techniques. Pattern Recognition Letters 27 (2006) 414-423.
14. Q. Hu, D. Yu, , 2004. Entropies of fuzzy indiscerniblity relation and its operations. Int. J. Uncertainty, Fuzziness and Knowledge-Based Systems 12 (5), 575-589.
15. C. Ding and H.C. Peng, "Minimum Redundancy Feature Selection from Microarray Gene Expression Data," Proc. Second IEEE Computational Systems Bioinformatics Conf., pp. 523-528, Aug. 2003