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A Preliminar Analysis of CO2RBFN in Imbalanced Problems

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Bio-Inspired Systems: Computational and Ambient Intelligence (IWANN 2009)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5517))

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Abstract

In many real classification problems the data are imbalanced, i.e., the number of instances for some classes are much higher than that of the other classes. Solving a classification task using such an imbalanced data-set is difficult due to the bias of the training towards the majority classes. The aim of this contribution is to analyse the performance of CO2RBFN, a cooperative-competitive evolutionary model for the design of RBFNs applied to classification problems on imbalanced domains and to study the cooperation of a well known preprocessing method, the “Synthetic Minority Over-sampling Technique” (SMOTE) with our algorithm. The good performance of CO2RBFN is shown through an experimental study carried out over a large collection of imbalanced data-sets.

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Author information

Authors and Affiliations

  1. Department of Computer Science, University of Jaén, Campus Las Lagunillas, 23071, Jaén, Spain

    M. D. Pérez-Godoy, A. J. Rivera & M. J. del Jesus

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

    A. Fernández & F. Herrera

Authors
  1. M. D. Pérez-Godoy
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  2. A. J. Rivera
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  3. A. Fernández
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  4. M. J. del Jesus
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  5. F. Herrera
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Editor information

Editors and Affiliations

  1. Departamento de Ingeniería Electrónica, Universitat Politècnica de Catalunya (UPC). E.T.S.I. de Telecomunicación., , , ,, Campus Norte, Edificio C4, C/ Jordi Girona, 1-3, E08034, Barcelona, Spain

    Joan Cabestany

  2. Grupo ISIS, Dpto. Tecnología Electrónica ETSI Telecomunicación, Universidad de Málaga, Campus de Teatinos, 29071, Málaga, Spain

    Francisco Sandoval

  3. Department of Computer Architecture and Computer Technology, University of Granada, Spain

    Alberto Prieto

  4. Department of Informatics, University of Salamanca, Salamanca, Spain

    Juan M. Corchado

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© 2009 Springer-Verlag Berlin Heidelberg

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Pérez-Godoy, M.D., Rivera, A.J., Fernández, A., del Jesus, M.J., Herrera, F. (2009). A Preliminar Analysis of CO2RBFN in Imbalanced Problems. In: Cabestany, J., Sandoval, F., Prieto, A., Corchado, J.M. (eds) Bio-Inspired Systems: Computational and Ambient Intelligence. IWANN 2009. Lecture Notes in Computer Science, vol 5517. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02478-8_8

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  • DOI: https://doi.org/10.1007/978-3-642-02478-8_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-02477-1

  • Online ISBN: 978-3-642-02478-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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