Selecting feature subset for high dimensional data via the propositional FOIL rules

Author:

Wang Guangtao,Song Qinbao,Xu Baowen,Zhou Yuming

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference46 articles.

1. L.C. Molina, L. Belanche, À. Nebot, Feature selection algorithms: a survey and experimental evaluation, in: Proceedings of IEEE International Conference on Data Mining, IEEE Computer Society, 2002, pp. 306–313.

2. G.H. John, R. Kohavi, K. Pfleger, Irrelevant features and the subset selection problem, in: Proceedings of the Eleventh International Conference on Machine Learning, 1994.

3. L. Yu, H. Liu, Redundancy based feature selection for microarray data, in: Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, ACM, 2004, pp. 737–742.

4. An extensive empirical study of feature selection metrics for text classification;Forman;Journal of Machine Learning Research,2003

5. K. Kira, L.A. Rendell, The feature selection problem: traditional methods and a new algorithm, in: Proceedings of the National Conference on Artificial Intelligence, American Association for Artificial, 1992, pp. 129–134.

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