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Volumn 1996, Issue , 2001, Pages 103-113

Applying a learning classifier system to mining explanatory and predictive models from a large clinical database

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); CLUSTERING ALGORITHMS; DATABASE SYSTEMS; DECISION TREES; LOGISTIC REGRESSION; PREDICTIVE ANALYTICS;

EID: 84942898678     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-44640-0_8     Document Type: Conference Paper
Times cited : (5)

References (17)
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    • (1999) Machine Learning. Proceedings of the Sixteenth International Conference (ICML ’99) , pp. 171-180
    • Harries, M.1
  • 6
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    • Discovery of Disease Risk with a Learning Classifier System
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    • Holmes, J.H.: Discovery of Disease Risk with a Learning Classifier System, in: Baeck, T. (ed.): Proceedings of the Seventh International Conference on Genetic Algorithms SanFrancisco, Morgan Kaufmann (1997) 426-433
    • (1997) Proceedings of the Seventh International Conference on Genetic Algorithms , pp. 426-433
    • Holmes, J.H.1
  • 7
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    • Quantitative methods for evaluating learning classifier system performance In forced two-choice decision tasks
    • In: Wu, A. (ed.), Morgan Kaufmann, SanFrancisco
    • Holmes J.H.: Quantitative methods for evaluating learning classifier system performance In forced two-choice decision tasks. In: Wu, A. (ed.) Proceedings of the Second International Workshop on Learning Classifier Systems (IWLCS99). Morgan Kaufmann, SanFrancisco (1999) 250-257
    • (1999) Proceedings of the Second International Workshop on Learning Classifier Systems (IWLCS99) , pp. 250-257
    • Holmes, J.H.1
  • 8
    • 0034192615 scopus 로고    scopus 로고
    • The Learning Classifier System: An evolutionary computation approach to knowledge discovery in epidemiologic surveillance
    • Holmes JH, Durbin DR, Winston FK: The Learning Classifier System: An evolutionary computation approach to knowledge discovery in epidemiologic surveillance. Artificial Intelligence in Medicine 19(1): 53-74 (2000)
    • (2000) Artificial Intelligence in Medicine , vol.19 , Issue.1 , pp. 53-74
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  • 10
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    • Pattern classification using a hybrid genetic programdecision tree approach
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    • Marmelstein, R.E. and Lamont, G.: Pattern classification using a hybrid genetic programdecision tree approach. In: Koza J.R., Banzhaf W., Chellapilla K., et al (eds.): Genetic Programming 1998: Proceedings of the Third Annual Conference, Morgan Kaufmann, San Francisco (1998) 223-231
    • (1998) Genetic Programming 1998: Proceedings of the Third Annual Conference , pp. 223-231
    • Marmelstein, R.E.1    Lamont, G.2
  • 11
    • 0021203016 scopus 로고
    • Statistical approaches to the analysis of receiver operating characteristic (ROC) curves
    • McNeil, BJ; Hanley, JA. Statistical approaches to the analysis of receiver operating characteristic (ROC) curves. Medical Decision Making. 1984; 4:137-150
    • (1984) Medical Decision Making , vol.4 , pp. 137-150
    • McNeil, B.J.1    Hanley, J.A.2
  • 12
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    • Using grammar-based genetic programming for data mining of medical knowledge
    • In: Koza J.R., Banzhaf W., Chellapilla K., et al (eds.), Morgan Kaufmann, San Francisco
    • Ngan, P.S., Wong, M.L., Leung, K.S., and Cheng, J.C.Y.: Using grammar-based genetic programming for data mining of medical knowledge. In: Koza J.R., Banzhaf W., Chellapilla K., et al (eds.): Genetic Programming 1998: Proceedings of the Third Annual Conference, Morgan Kaufmann, San Francisco (1998) 254-259
    • (1998) Genetic Programming 1998: Proceedings of the Third Annual Conference , pp. 254-259
    • Ngan, P.S.1    Wong, M.L.2    Leung, K.S.3    Cheng, J.4
  • 15
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    • Theoretical views of boosting. In: Computational Learning Theory
    • Springer-Verlag, Berlin
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    • Booker, L., Forrest, S., Mitchell, M., and Riolo, R. (eds.)Festschrift in Honor of John H. Holland, May 15-18, 1999, The University of Michigan, Ann Arbor, MI
    • Wilson, S.W., " Get real! XCS with continuous-valued inputs" In Booker, L., Forrest, S., Mitchell, M., and Riolo, R. (eds.): Festschrift in Honor of John H. Holland, May 15-18, 1999 (pp. 111-121),. Center for the Study of Complex Systems, The University of Michigan, Ann Arbor, MI
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    • Wilson, S.W.1


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