Consistency measures for feature selection: A formal definition, relative sensitivity comparison and a fast algorithm

IJCAI International Joint Conference on Artificial Intelligence

Volumn , Issue , 2011, Pages 1491-1497

  Shin, Kilho ^a   Fernandes, Danny ^a   Miyazaki, Seiya ^b  

^a UNIVERSITY OF HYOGO   (Japan)

^b PANASONIC CORPORATION   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

CONSISTENCY MEASURES; FAST ALGORITHMS; FORMAL DEFINITION; LARGE DATASETS; QUASI-LINEAR; RELATIVE SENSITIVITY; TIME EFFICIENCIES;

ARTIFICIAL INTELLIGENCE;

ALGORITHMS;

EID: 84881083451     PISSN: 10450823     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.5591/978-1-57735-516-8/IJCAI11-251     Document Type: Conference Paper

References (11)

1. A. Arauzo-Azofra, J. M. Benitez, and J. L Castro. Consistency measures for feature selection. Journal of Intelligent Information Systems, 30(3):273-292, November 2008. (Pubitemid 351667132)
2. M. Ben-Bassat. Use of distance measures, information measures and error bounds in feature evaluation. Handbook of Statistics, North-Holland Publishing Company, 2:773-791, 1982.
3. M. A. Hall. Correlation-based feature selection for discrete and numeric class machine learning. In Proceedings of International Conference of machine Learning, 2000.
4. I. Kononenko. Estimating attributes: Analysis and extension of RELIEF. In Proceedings of European Conference on Machine Learning, 1994.
5. H. Liu, H. Motoda, and M. Dash. A monotonic measure for optimal feature selection. In Proceedings of European Conference on Machine Learning, 1998.
6. L. Molina, L. Belanche, and A. Nebot. Feature selection algorithms: A survey and experimental evaluation. In Proceedings of IEEE International Conference on Data Mining, pages 306-313, 2002.
7. Z. Pawlak. Rough Sets, Theoretical aspects of reasoning about data. Kluwer Academic Publishers, 1991.
8. K. Shin and X.M. Xu. Consistency-based feature selection. In 13th International Conferece on Knowledge-Based and Intelligent Information & Engineering System, 2009.
9. I. H. Witten and E. Frank. Data Mining: Practical Machine Learning Tools and Techniques. Mogan Kaufmann Publishers, 2005.
10. L. Yu and H. Liu. Feature selection for high-dimensional data: a fast correlation-based filter solution. In Proceedings of International Conference of Machine Learning, 2003.
11. Z. Zhao and H. Liu. Searching for interacting features. In Proceedings of International Joint Conference on Artificial Intelligence, pages 1156-1161, 2007.