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Volumn , Issue , 2009, Pages 359-366

A combination of discretization and filter methods for improving classification performance in KDD Cup 99 dataset

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION PERFORMANCE; COMPUTER INTRUSION DETECTION; DATA SETS; DISCRETIZATIONS; FILTER METHOD; INPUT FEATURES; LARGE DATASETS; MACHINE-LEARNING; NEW APPROACHES; SOPHISTICATED MACHINES;

EID: 70449381438     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IJCNN.2009.5178622     Document Type: Conference Paper
Times cited : (29)

References (32)
  • 1
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    • Results of the KDD'99 Classifier Learning
    • ACM Press
    • C. Elkan, Results of the KDD'99 Classifier Learning. ACM SIGKDD Explorations Newsletter, vol. 1, no. 2, pp. 63-64, ACM Press, 2000
    • (2000) ACM SIGKDD Explorations Newsletter , vol.1 , Issue.2 , pp. 63-64
    • Elkan, C.1
  • 6
    • 0242302657 scopus 로고    scopus 로고
    • Consistency-based Search in Feature Selection
    • M. Dash and H. Liu, Consistency-based Search in Feature Selection. Artificial Intelligence Journal, vol. 151, no. 1-2, pp. 155-176, 2003
    • (2003) Artificial Intelligence Journal , vol.151 , Issue.1-2 , pp. 155-176
    • Dash, M.1    Liu, H.2
  • 12
    • 0003408496 scopus 로고    scopus 로고
    • Last access: 1st December, Department of Information and Computer Science, University of California, Irvine
    • C. L. Blake and C. J. Merz, UCI Repository of Machine Learning Databases. http ://www.ics.uci.edu/~mlearn /MLRepository.html [Last access: 1st December 2008] Department of Information and Computer Science, University of California, Irvine, 1998
    • (1998) UCI Repository of Machine Learning Databases
    • Blake, C.L.1    Merz, C.J.2
  • 14
    • 70449349546 scopus 로고    scopus 로고
    • KDD Cup 99 Data., http://kdd.ics.uci.edu/databases /kddcup99/kddcup99. html [Last access: 12th November 2008].
    • KDD Cup 99 Data., http://kdd.ics.uci.edu/databases /kddcup99/kddcup99. html [Last access: 12th November 2008].
  • 19
    • 19944364877 scopus 로고    scopus 로고
    • Feature Deduction and Ensemble Design of Intrusion Detection Systems
    • Elseiver
    • A. Chebrolu, A. Abraham and J. Thomas, Feature Deduction and Ensemble Design of Intrusion Detection Systems. Computers & Security, vol. 24, no. 4, pp. 295-307, Elseiver, 2005
    • (2005) Computers & Security , vol.24 , Issue.4 , pp. 295-307
    • Chebrolu, A.1    Abraham, A.2    Thomas, J.3
  • 23
    • 70449345334 scopus 로고    scopus 로고
    • W. H. Press, B. P Flannery, S. A Teukolsky and W. T. Vetterling, Numerical recipes in C. Cambridge University Press, Cambridge, 1988
    • W. H. Press, B. P Flannery, S. A Teukolsky and W. T. Vetterling, Numerical recipes in C. Cambridge University Press, Cambridge, 1988
  • 26
    • 33644667964 scopus 로고    scopus 로고
    • Evaluating the Performance of Cost-based Discretization versus Entropy and Errorbased Discretization
    • Elsevier
    • D. Janssens, T. Brijs, K. Vanhoof and G. Wets, Evaluating the Performance of Cost-based Discretization versus Entropy and Errorbased Discretization. Computers and Operations Research Journal, vol. 33, no. 11, pp. 3107-3123, Elsevier, 2006
    • (2006) Computers and Operations Research Journal , vol.33 , Issue.11 , pp. 3107-3123
    • Janssens, D.1    Brijs, T.2    Vanhoof, K.3    Wets, G.4
  • 29
    • 0003704318 scopus 로고    scopus 로고
    • Last access: 1st December, Department of Information and Computer Science, University of California, Irvine
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    • (1999) The UCI KDD Archive
    • Bay, S.D.1
  • 31
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    • THE MATHWORKS, Last access: 1st December
    • THE MATHWORKS, Matlab, user's guide. http://www.mathworks.com /[Last access: 1st December 2008]
    • (2008) Matlab, user's guide


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.