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Neural Networks For Data Mining

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Data Mining and Knowledge Discovery Handbook

Summary

Neural networks have become standard and important tools for data mining. This chapter provides an overview of neural network models and their applications to data mining tasks. We provide historical development of the field of neural networks and present three important classes of neural models including feedforward multilayer networks, Hopfield networks, and Kohonen’s self-organizing maps. Modeling issues and applications of these models for data mining are discussed.

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  1. Department of Managerial Sciences, Georgia State University, Atlanta, Georgia, USA

    G. Peter Zhang

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  1. , Dept. Industrial Engineering, Tel Aviv University, Ramat Aviv, 69978, Israel

    Oded Maimon

  2. , Dept. Information Systems Engineering, Ben-Gurion University of the Negev, Beer-Sheva, 84105, Israel

    Lior Rokach

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Zhang, G.P. (2009). Neural Networks For Data Mining. In: Maimon, O., Rokach, L. (eds) Data Mining and Knowledge Discovery Handbook. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-09823-4_21

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