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Volumn 2724, Issue , 2003, Pages 2325-2336

A linear genetic programming approach to intrusion detection

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EID: 35248851166     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45110-2_125     Document Type: Article
Times cited : (41)

References (17)
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    • Testing Intrusion Detection Systems: A Critique of the 1998 and 1999 DARPA Intrusion Detection System Evaluations as Performed by Lincoln Laboratory
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    • (2000) ACM Transactions on Information and System Security , vol.3 , Issue.4 , pp. 262-294
    • McHugh, J.1
  • 3
    • 0038428854 scopus 로고    scopus 로고
    • Results of the KDD'99 Classifier Learning Contest
    • Elkan C.: Results of the KDD'99 Classifier Learning Contest. SIGKDD Explorations. ACM SIGKDD. 1(2), (2000) 63-64
    • (2000) SIGKDD Explorations. ACM SIGKDD , vol.1 , Issue.2 , pp. 63-64
    • Elkan, C.1
  • 5
    • 0347606556 scopus 로고    scopus 로고
    • Winning the KDD99 Classification Cup: Bagged Boosting
    • Pfahringer B.: Winning the KDD99 Classification Cup: Bagged Boosting. SIGKDD Explorations. ACM SIGKDD. 1(2) (2000) 65-66
    • (2000) SIGKDD Explorations. ACM SIGKDD , vol.1 , Issue.2 , pp. 65-66
    • Pfahringer, B.1
  • 6
    • 1642354876 scopus 로고    scopus 로고
    • KDD-99 Classifier Learning Contest LLSoft's Results Overview
    • Levin I.: KDD-99 Classifier Learning Contest LLSoft's Results Overview. SIGKDD Explorations. ACM SIGKDD. 1(2) (2000) 67-75
    • (2000) SIGKDD Explorations. ACM SIGKDD , vol.1 , Issue.2 , pp. 67-75
    • Levin, I.1
  • 7
    • 21044446237 scopus 로고    scopus 로고
    • The MP13 Approach to the KDD'99 Classifier Learning Contest
    • Vladimir M., Alexei V., Ivan S.: The MP13 Approach to the KDD'99 Classifier Learning Contest. SIGKDD Explorations. ACM SIGKDD. 1(2) (2000) 76-77
    • (2000) SIGKDD Explorations. ACM SIGKDD , vol.1 , Issue.2 , pp. 76-77
    • Vladimir, M.1    Alexei, V.2    Ivan, S.3
  • 8
    • 85008255983 scopus 로고
    • Dynamic Training Subset Selection for Supervised Learning in Genetic Programming. Parallel Problem Solving from Nature III
    • Springer-Verlag, Berlin
    • Gathercole C., Ross P.: Dynamic Training Subset Selection for Supervised Learning in Genetic Programming. Parallel Problem Solving from Nature III. Lecture Notes in Computer Science, Vol. 866. Springer-Verlag, Berlin (1994) 312-321
    • (1994) Lecture Notes in Computer Science , vol.866 , pp. 312-321
    • Gathercole, C.1    Ross, P.2
  • 10
    • 0002315591 scopus 로고
    • A Compiling Genetic Programming System that Directly Manipulates the Machine Code
    • Kinnear K.E. (ed.): Chapter 14. MIT Press, Cambridge, MA
    • Nordin P.: A Compiling Genetic Programming System that Directly Manipulates the Machine Code. In: Kinnear K.E. (ed.): Advances in Genetic Programming, Chapter 14. MIT Press, Cambridge, MA (1994) 311-334
    • (1994) Advances in Genetic Programming , pp. 311-334
    • Nordin, P.1
  • 11
    • 4344589298 scopus 로고    scopus 로고
    • Finding General Solutions to the Parity Problem by Evolving Machine-Language Representations
    • Morgan Kaufmann, San Francisco, CA
    • rd Conference on Genetic Programming. Morgan Kaufmann, San Francisco, CA (1998) 158-166
    • (1998) rd Conference on Genetic Programming , pp. 158-166
    • Huelsbergen, L.1
  • 15
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    • A Comparison of Linear Genetic Programming and Neural Networks in Medical Data Mining
    • Brameier M., Banzhaf W.: A Comparison of Linear Genetic Programming and Neural Networks in Medical Data Mining. IEEE Transactions on Evolutionary Computation, 5(1) (2001) 17-26
    • (2001) IEEE Transactions on Evolutionary Computation , vol.5 , Issue.1 , pp. 17-26
    • Brameier, M.1    Banzhaf, W.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.