2Cheng-Lung Huang,Chieh-JenWang. A GA-based feature selection and parameters optimization for support vector machines[J].Expert Systems with Applications,2006,(02):231-240.
3MCHUGH J, CHRISTIE A. Defending yourself: the role of intrusion detection systems [ J ]. IEEE Software, 2000 (9) :42-51.
4HUANG C L, WANG C J. GA-based feature selection and parameters optimization for support vector machines [ J ]. Expert Systems with Applications, 2006, 31 ( 2 ) : 231- 240.
5VAPNIK V N. An overview of statistical learning theory [J]. IEEE Trans on Neural Networks, 1999, 10(5): 988 -999.
6WONG S K M, ZIARKO W. On optimal decision rules in decision tables [ J ]. Bulletin of Polish Academy of Sciences, 1985, 33:693-696.
7FAWLAK Z. Rough sets-theoretical aspect of reasoning about data [ M ]. Dordrecht : Kluwer Academic Publishers, 1991.
8KOHAVI R, FRASCA B. Useful feature subsets and rough set reducts [ C ]// The Third International Workshop on Rough Sets and Soft Computing, San Jose California. 1994:310-317.
9JELONEK J, KRAWIEC K, SEOWINSKI R. Rough set reduction of attributes and their domains for neural networks [ J ]. International Journal of Computational Intelligence, 1995, 11 (2) :339-347.
10University of California. KDD Cup 1999 Data [ CP/OL]. [2008-05-06 ]. http: //kdd. ies. nei. edu/databases/ kddeup99/kddeup99. html.
