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A. H. Sung, S. Mukkamala, "Identifying Important Features for Intrusion Detection Using Support Vector Machines and Neural Networks" Proc. of the International Symposium on Applications and the Internet Technology, IEEE Computer Society Press, 2003, pp. 209-216.T.S.
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4
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Dong Seong Kim, Ha-Nam Nguyen, Syng-Yup Ohn, Jong Sou Park, Fusions of GA and SVM for Anomaly Detection in Intrusion Detection System, ISNN (3) 2005, pp.415-420.
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Dong Seong Kim, Ha-Nam Nguyen, Syng-Yup Ohn, Jong Sou Park, "Fusions of GA and SVM for Anomaly Detection in Intrusion Detection System", ISNN (3) 2005, pp.415-420.
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5
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84942785917
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Consistency based feature selection
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Kyoto, Japan
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Dash M., Liu H., & Motoda H, "Consistency based feature selection", Proc. of the Fourth PAKDD 2000, Kyoto, Japan, 2000, pp. 98-109.
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Dash, M.1
Liu, H.2
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6
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Learning Boolean Concepts in the Presence of Many Irrelevant Features
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H. Almuallim and T.G. Dietterich "Learning Boolean Concepts in the Presence of Many Irrelevant Features", Artificial Intelligence, vol. 69, nos. 1-2, 1994, pp. 279-305.
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9
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available
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KDD Cup 1999 Data. available. http://kdd.ics.uci.edu/databases/kddcup99/ kddcup99. html
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Data
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Cup, K.D.D.1
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10
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34347207771
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Open Source WEKA Project, available
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Open Source WEKA Project.: available http://www.cs.waikato.ac.nz/ml/weka/ index.latml
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Khaja Mohammad Shazzad, Jong Sou Park: Optimization of Intrusion Detection through Fast Hybrid Feature Selection.PDCAT'2005:0-7695-2405-2/05
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Khaja Mohammad Shazzad, Jong Sou Park: Optimization of Intrusion Detection through Fast Hybrid Feature Selection.PDCAT'2005:0-7695-2405-2/05
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12
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Jong Sou Park, Khaja Mohammad Shazzad, Dong Seong Kim:Toward Modeling Lightweight Intrusion Detection System Through Correlation-Based Hybrid Feature Selection.CISC 2005: 279-289. 5
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Jong Sou Park, Khaja Mohammad Shazzad, Dong Seong Kim:Toward Modeling Lightweight Intrusion Detection System Through Correlation-Based Hybrid Feature Selection.CISC 2005: 279-289. 5
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