Mark Last,Abraham Kandel,Oded Maimon.Information-theoretic algorithm for feature selection[J].Pattern Recognition Letters,2001,22(6):799-811.
[2]
Liu H,Motoda H.Feature Selection for Knowledge Discovery and Data Mining[M].Klumwer,Boston.1998.
[3]
Hu Q H,Xie Z X,Yu D R.Hybrid attribute reduction based on a novel fuzzy-rough model and information granulation[J].Pattern Recognition,2007,40(12):3509-3521.
[4]
Jiang S Y,Song X Y,et al.A clustering-based method for unsupervised intrusion detections[J].PaUern Recognition Letters,2006,27(7):802-810.
[5]
Witten I H,Frank E.Data Mining:Practical Machine Learning Tools and Techniques(2nd Edition)[M].Morgan Kaufmann,San Francisco,2005.
[6]
http://www.cs.waikato.ac.nz/ml/weha/
[7]
Lewis P M.The characteristic selection problem in recognition system[J].IRE Transaction on Information Theory,1962,8 (2):171-178.
[8]
Kononenko I.Estimating attributes:analysis and extensions of RELIEF[A].Proc of ECML[C].Catania,Italy,Springer-Verlag New York,1994.171-182.
[9]
Swiniarski R W,Skowron A.Rough set methods in feature selection and recognition[J].Pattern Recognition Letters,2003,24(6):833-849.
Huang J J,Cai Y Z,Xu X M.A hybrid genetic algorithm for feature selection wrapper based on mutual information[J].Pattern Recognition Letters,2007,28(13):1825-1844.
[12]
Merz C J,Merphy P.UCI repository of machine learning databases[OB/OL].URL:http://www,its.uci.edu/~ mleam/MLRRepository,html,1996.