Learning Classifier Systems in Data Mining 2008
Larry Bull, Ester Bernadó-Mansilla, John H. Holmes (Eds.):
Learning Classifier Systems in Data Mining.
Studies in Computational Intelligence Vol. 125 Springer 2008, ISBN 978-3-540-78978-9 BibTeX
- Larry Bull, Ester Bernadó-Mansilla, John H. Holmes:
Learning Classifier Systems in Data Mining: An Introduction.
1-15
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- Jaume Bacardit, Michael Stout, Jonathan D. Hirst, Natalio Krasnogor:
Data Mining in Proteomics with Learning Classifier Systems.
17-46
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- William N. L. Browne:
Improving Evolutionary Computation Based Data-Mining for the Process Industry: The Importance of Abstraction.
47-68
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- Hai Huong Dam, Pornthep Rojanavasu, Hussein A. Abbass, Chris Lokan:
Distributed Learning Classifier Systems.
69-91
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- Faten Kharbat, Mohammed Odeh, Larry Bull:
Knowledge Discovery from Medical Data: An Empirical Study with XCS.
93-121
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- Albert Orriols-Puig, Ester Bernadó-Mansilla:
Mining Imbalanced Data with Learning Classifier Systems.
123-145
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- Avinash Gandhe, Ssu-Hsin Yu, Raman K. Mehra, Robert Elliott Smith:
XCS for Fusing Multi-Spectral Data in Automatic Target Recognition.
147-167
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- Christopher Stone, Larry Bull:
Foreign Exchange Trading Using a Learning Classifier System.
169-189
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- Kreangsak Tamee, Larry Bull, Ouen Pinngern:
Towards Clustering with Learning Classifier Systems.
191-204
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- Albert Orriols-Puig, Jorge Casillas, Ester Bernadó-Mansilla:
A Comparative Study of Several Genetic-Based Supervised Learning Systems.
205-230
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Copyright © Sat May 16 22:55:09 2009
by Michael Ley (ley@uni-trier.de)