Feature selection using f-information measures in fuzzy approximation spaces

IEEE Transactions on Knowledge and Data Engineering

Volumn 22, Issue 6, 2010, Pages 854-867

  Maji, Pradipta ^a   Pal, Sankar K ^a  

^a INDIAN STATISTICAL INSTITUTE   (India)

Author keywords

Data mining; F information measures; Feature selection; Fuzzy rough sets; Pattern recognition

Indexed keywords

FEATURE SELECTION; FEATURE SELECTION METHODS; FUZZY APPROXIMATION; FUZZY EQUIVALENCE; FUZZY-ROUGH SETS; INFORMATION MEASURES; MATRIX; REAL LIFE DATASETS; REAL-VALUED DATA; SHANNON'S ENTROPY;

DATA MINING; OPTIMIZATION; QUALITY ASSURANCE; REDUNDANCY; ROUGH SET THEORY;

FEATURE EXTRACTION;

EID: 77951766769     PISSN: 10414347     EISSN: None     Source Type: Journal    
DOI: 10.1109/TKDE.2009.124     Document Type: Article

References (18)

1. R. O. Duda, P. E. Hart, and D. G. Stork, Pattern Classification and Scene Analysis. John Wiley & Sons, 1999.
2. P. A. Devijver and J. Kittler, Pattern Recognition: A Statistical Approach. Prentice Hall, 1982.
3. M. Dash and H. Liu, "Consistency Based Search in Feature Selection, " Artificial Intelligence, vol. 151, nos. 1/2, pp. 155-176, 2003.
4. R. Battiti, "Using Mutual Information for Selecting Features in Supervised Neural Net Learning, " IEEE Trans. Neural Network, vol. 5, no. 4, pp. 537-550, 1994.
5. J. R. Quinlan, C4.5: Programs for Machine Learning. Morgan Kaufmann, 1993.
6. I. Vajda, Theory of Statistical Inference and Information. Kluwer Academic, 1989.
7. J. P. W. Pluim, J. B. A. Maintz, and M. A. Viergever, "f-Information Measures in Medical Image Registration, " IEEE Trans. Medical Imaging, vol. 23, no. 12, pp. 1508-1516, Dec. 2004.
8. P. Maji, "f-Information Measures for Efficient Selection of Discriminative Genes from Microarray Data, " IEEE Trans. Biomedical Eng., vol. 56, no. 4, pp. 1-7, Apr. 2009.
9. Z. Pawlak, Rough Sets, Theoretical Aspects of Reasoning About Data. Kluwer, 1991.
10. R. Jensen and Q. Shen, "Semantics-Preserving Dimensionality Reduction: Rough and Fuzzy-Rough-Based Approach, " IEEE Trans. Knowledge and Data Eng., vol. 16, no. 12, pp. 1457-1471, Dec. 2004. (Pubitemid 40010921)
11. P. Maji and S. K. Pal, "Rough-Fuzzy C-Medoids Algorithm and Selection of Bio-Basis for Amino Acid Sequence Analysis, " IEEE Trans. Knowledge and Data Eng., vol. 19, no. 6, pp. 859-872, June 2007. (Pubitemid 46685661)
12. D. Dubois and H. Prade, "Rough Fuzzy Sets and Fuzzy Rough Sets, " Int'l J. General Systems, vol. 17, pp. 191-209, 1990.
13. P. Maji and S. K. Pal, "Rough Set Based Generalized Fuzzy C-Means Algorithm and Quantitative Indices, " IEEE Trans. System, Man and Cybernetics, Part B: Cybernetics, vol. 37, no. 6, pp. 1529-1540, Dec. 2007. (Pubitemid 350201160)
14. Q. Hu, D. Yu, Z. Xie, and J. Liu, "Fuzzy Probabilistic Approximation Spaces and Their Information Measures, " IEEE Trans. Fuzzy Systems, vol. 14, no. 2, pp. 191-201, 2007.
15. C. Shannon and W. Weaver, The Mathematical Theory of Communication. Univ. of Illinois Press, 1964.
16. S. K. Pal and S. Mitra, Neuro-Fuzzy Pattern Recognition: Methods in Soft Computing. Wiley, 1999.
17. M. Dash and H. Liu, "Unsupervised Feature Selection, " Proc. Pacific Asia Conf. Knowledge Discovery and Data Mining, pp. 110-121, 2000.
18. A. Chouchoulas and Q. Shen, "Rough Set-Aided Keyword Reduction for Text Categorisation, " Applied Artificial Intelligence, vol. 15, no. 9, pp. 843-873, 2001. (Pubitemid 33701177)