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 
- Larry Bull, Ester Bernadó-Mansilla, John H. Holmes:
Learning Classifier Systems in Data Mining: An Introduction.
1-15
- Jaume Bacardit, Michael Stout, Jonathan D. Hirst, Natalio Krasnogor:
Data Mining in Proteomics with Learning Classifier Systems.
17-46
- William N. L. Browne:
Improving Evolutionary Computation Based Data-Mining for the Process Industry: The Importance of Abstraction.
47-68
- Hai Huong Dam, Pornthep Rojanavasu, Hussein A. Abbass, Chris Lokan:
Distributed Learning Classifier Systems.
69-91
- Faten Kharbat, Mohammed Odeh, Larry Bull:
Knowledge Discovery from Medical Data: An Empirical Study with XCS.
93-121
- Albert Orriols-Puig, Ester Bernadó-Mansilla:
Mining Imbalanced Data with Learning Classifier Systems.
123-145
- Avinash Gandhe, Ssu-Hsin Yu, Raman K. Mehra, Robert Elliott Smith:
XCS for Fusing Multi-Spectral Data in Automatic Target Recognition.
147-167
- Christopher Stone, Larry Bull:
Foreign Exchange Trading Using a Learning Classifier System.
169-189
- Kreangsak Tamee, Larry Bull, Ouen Pinngern:
Towards Clustering with Learning Classifier Systems.
191-204
- Albert Orriols-Puig, Jorge Casillas, Ester Bernadó-Mansilla:
A Comparative Study of Several Genetic-Based Supervised Learning Systems.
205-230
Copyright © Sat Nov 28 22:08:17 2009
by Michael Ley (ley@uni-trier.de)
