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A Study on the Combination of Evolutionary Algorithms and Stratified Strategies for Training Set Selection in Data Mining

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Book cover Soft Computing: Methodologies and Applications

Part of the book series: Advances in Soft Computing ((AINSC,volume 32))

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Author information

Authors and Affiliations

  1. Dept. of Computer Science, Escuela Politécnica Superior of Linares, University of Jaen, 23700, Linares, Jaen, Spain

    Jose Ramon Cano

  2. Dept. of Computer Science and Artificial Intelligence, University of Granada, 18071, Granada, Spain

    Francisco Herrera & Manuel Lozano

Authors
  1. Jose Ramon Cano
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  2. Francisco Herrera
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  3. Manuel Lozano
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Editor information

Editors and Affiliations

  1. Fakultät für Elektrotechnik und Informationstechnik, Lehrstuhl für Elektrische Steuerung und Regelung, Universität Dortmund, Otto-Hahn-Str. 4, 44227, Dortmund, Germany

    Frank Hoffmann

  2. Fraunhofer IPK, Berlin

    Mario Köppen

  3. Institut für Sicherheits-/Prüftechnik, Pascalstr. 8-9, 10587, Berlin, Germany

    Mario Köppen

  4. FH Braunschweig/Wolfenbüttel, Salzdahlumer Str. 46/48, 38302, Wolfenbüttel, Germany

    Frank Klawonn

  5. Enterprise Integration, Cranfield University, Cranfield, Bedford, MK43 0AL, UK

    Rajkumar Roy

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© 2005 Springer-Verlag Berlin Heidelberg

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Cano, J.R., Herrera, F., Lozano, M. (2005). A Study on the Combination of Evolutionary Algorithms and Stratified Strategies for Training Set Selection in Data Mining. In: Hoffmann, F., Köppen, M., Klawonn, F., Roy, R. (eds) Soft Computing: Methodologies and Applications. Advances in Soft Computing, vol 32. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-32400-3_21

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  • DOI: https://doi.org/10.1007/3-540-32400-3_21

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-25726-4

  • Online ISBN: 978-3-540-32400-3

  • eBook Packages: EngineeringEngineering (R0)

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