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Volumn 3631 LNCS, Issue , 2005, Pages 283-293

Mining fuzzy classification rules using an artificial immune system with boosting

Author keywords

[No Author keywords available]

Indexed keywords

ANTIGENS; ARTIFICIAL INTELLIGENCE; DATA MINING; IMMUNOLOGY; MATHEMATICAL MODELS; OPTIMIZATION;

EID: 33645986432     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11547686_21     Document Type: Conference Paper
Times cited : (32)

References (13)
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    • An immunogenetic technique to detect anomalies in network traffic
    • Morgan Kaufmann, San Mateo
    • Gonzales, F.A., Dasgupta, D.: An Immunogenetic Technique to Detect Anomalies in Network Traffic. Proceedings of Genetic and Evolutionary Computation. Morgan Kaufmann, San Mateo (2002) 1081-1088
    • (2002) Proceedings of Genetic and Evolutionary Computation , pp. 1081-1088
    • Gonzales, F.A.1    Dasgupta, D.2
  • 6
    • 35248846129 scopus 로고    scopus 로고
    • Revisiting the foundations of artificial immune systems: A problem oriented perspective
    • Springer-Verlag, Berlin
    • Freitas, A.A., Timmis, J.: Revisiting the Foundations of Artificial Immune Systems: a Problem Oriented Perspective. ICARIS 2003. LNCS, Vol. 2787. Springer-Verlag, Berlin (2003) 229-241
    • (2003) ICARIS 2003. LNCS , vol.2787 , pp. 229-241
    • Freitas, A.A.1    Timmis, J.2
  • 7
    • 33645961388 scopus 로고    scopus 로고
    • An artificial immune system for fuzzy-rule induction in data mining
    • Yao, X. et al. (eds) Springer-Verlag, Berlin
    • Alves, R.T., Degado M. R., Lopes H.S., Freitas, A.A.: An Artificial Immune System for Fuzzy-Rule Induction in Data Mining. In: Yao, X. et al. (eds) Parallel Problem Solving from Nature - PPSN VIII, LNCS Vol. 3242 Springer-Verlag, Berlin (2004) 1011-1020
    • (2004) Parallel Problem Solving from Nature - PPSN VIII, LNCS , vol.3242 , pp. 1011-1020
    • Alves, R.T.1    Degado, M.R.2    Lopes, H.S.3    Freitas, A.A.4
  • 8
    • 0000982905 scopus 로고    scopus 로고
    • Multi-stage genetic fuzzy systems based on the iterative rule learning approach
    • Gonzáles, A., Herrera, F.: Multi-Stage Genetic Fuzzy Systems based on the Iterative Rule Learning Approach. Mathware & Soft Computing (1997) 233-249
    • (1997) Mathware & Soft Computing , pp. 233-249
    • Gonzáles, A.1    Herrera, F.2
  • 9
    • 33750542870 scopus 로고    scopus 로고
    • Novelty in the generation of initial population for genetic algorithms. Knowledge-based intelligent information and engineering systems
    • Springer-Verlag, Berlin
    • Karci, A.: Novelty in the Generation of Initial Population for Genetic Algorithms. Knowledge-Based Intelligent Information and Engineering Systems. 8th International Conference KES 2004 LNAI, Vol. 3214. Part II, Springer-Verlag, Berlin (2004) 268-276
    • (2004) 8th International Conference KES 2004 LNAI , vol.3214 , Issue.PART II , pp. 268-276
    • Karci, A.1
  • 10
    • 33645970504 scopus 로고    scopus 로고
    • Mining of interesting prediction rules with uniform two-level genetic algorithm
    • Alatas, B., Arslan, A.: Mining of Interesting Prediction Rules with Uniform Two-Level Genetic Algorithm. International Journal of Computational Intelligence, 1:1 (2004) 65-70
    • (2004) International Journal of Computational Intelligence , vol.1 , Issue.1 , pp. 65-70
    • Alatas, B.1    Arslan, A.2
  • 11
    • 0004013190 scopus 로고    scopus 로고
    • Back, T., Fogel, D.B., and Michalewicz, T. (Eds.): loP Publishing, Oxford, UK
    • Back, T., Fogel, D.B., and Michalewicz, T. (Eds.): Evolutionary Computation. Vol. 1. loP Publishing, Oxford, UK (2000)
    • (2000) Evolutionary Computation. , vol.1
  • 13
    • 33645976555 scopus 로고
    • C4.5: Programs For Machine Learning Morgan Kaufmann, San Mateo
    • Quinlan, J.R.: C4.5: Programs For Machine Learning. Morgan Kaufmann, San Mateo (1993)
    • (1993)
    • Quinlan, J.R.1


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