Statistical Data Mining and Artificial Neural Networks: A Case of Study in Financial Modeling

  • Pedro J. García-Laencina
  • M. Ángeles Varela-Jul
  • José L. Roca-González
  • Carmen de Nieves-Nieto
  • Joaquín Roca-Dorda
Conference paper

Abstract

Nowadays, an organization or institution works with a huge amount of information about itself and its environment. This data has the potential to predict the evolution of interesting variables or trends in the outside environment. Data mining is the process that uses a variety of data analysis tools to discover meaningful patterns, trends and relationships in data that may be used to make valid predictions. In the last decades, artificial neural network-based technology stands out as one of the most suitable approaches. The goals of this work are to give a comprehensive analysis of the data mining process, to present the last advances on neural networks and its application for modeling financial data. In particular, an efficient neural network model is constructed for modeling the return on assets from other financial variables.

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Copyright information

© Springer-Verlag London Limited  2012

Authors and Affiliations

  • Pedro J. García-Laencina
    • 1
  • M. Ángeles Varela-Jul
    • 1
  • José L. Roca-González
    • 1
  • Carmen de Nieves-Nieto
    • 1
  • Joaquín Roca-Dorda
    • 1
  1. 1.Centro Universitario de la Defensa de San Javier (University Centre for Defence at the Spanish Airofrce Academy), MDE-UPCT Murcia Spain

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