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Publications Supported by KEEL Project

 In this link are available the publications supported by the three sequential projects TIC2002-04036-C05, TIN2005-08386-C05 and TIN2008-06681-C06





Main  Contributions to Books Chapters

Jump to Year:   2011  2010  2008  2007  2006  2005  2004  2003



2011

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2010

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  C. Romero, S. Ventura, M. Pechenizkiy, R. Baker. Introduction. In: C. Romero, S. Ventura, M. Pechenizkiy, R. Baker (Eds.) Handbook of Educational Data Mining, Chapman and Hall/CRC Press, Taylor & Francis Group., 2010, 1-8   bib
 
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  J. Sedano, J.R. Villar, E. Corchado, L. Curiel, A. Bustillos. A Soft Computing System for Modelling the manufacture of SteelComponents. In: M. Gestal, D. Rivero (Eds.) Soft Computing Methods for Practical Environmental Solutions: Techniques and Studies, IGI Global, 2010, 127-142   Pdf bib
 
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2008

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  A. Zafra, S. Ventura. Multiple Instance Learning with MultiObjective Genetic Programming. In: J. Wang (Eds.) Encyclopedia of Data Warehousing and Mining , Information Science Reference, 2008, 1372-1379   Pdf bib
 

2007

  J. Bacardit, J.M. Garrell. Bloat control and generalization pressure using the minimum description length principle for a Pittsburgh approach Learning Classifier System. In: (Eds.) Advances at the frontier of LCS, Springer, 2007, 61-80   Pdf bib
 
  J. Bacardit, M.V. Butz. Data Mining in Learning Classifier Systems: Comparing XCS with GAssist. In: (Eds.) Advances at the frontier of LCS, Springer, 2007, 290-298   Pdf bib
 
  J. Bacardit, D.E. Goldberg, M.V. Butz. Improving the Performance of a Pittsburgh Learning Classifier System Using a Default Rule. In: (Eds.) Advances at the frontier of LCS, Springer, 2007, 299-317   Pdf bib
 
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2006

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2005

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2004

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2003

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