Learning Classifier Systems in Data Mining

• Corporate Author: SpringerLink (Online service)
• Other Authors: Bull, Larry (Editor), Bernadó-Mansilla, Ester (Editor), Holmes, John (Editor)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2008.
• Series: Studies in Computational Intelligence, 125
• Subjects: Engineering.; Artificial intelligence.; Applied mathematics.; Engineering mathematics.; Appl.Mathematics/Computational Methods of Engineering.; Artificial Intelligence (incl. Robotics).

Just over thirty years after Holland first presented the outline for Learning Classifier System paradigm, the ability of LCS to solve complex real-world problems is becoming clear. In particular, their capability for rule induction in data mining has sparked renewed interest in LCS. This book brings...

Table of Contents:

• Learning Classifier Systems in Data Mining: An Introduction
• Data Mining in Proteomics with Learning Classifier Systems
• Improving Evolutionary Computation Based Data-Mining for the Process Industry: The Importance of Abstraction
• Distributed Learning Classifier Systems
• Knowledge Discovery from Medical Data: An Empirical Study with XCS
• Mining Imbalanced Data with Learning Classifier Systems
• XCS for Fusing Multi-Spectral Data in Automatic Target Recognition
• Foreign Exchange Trading Using a Learning Classifier System
• Towards Clustering with Learning Classifier Systems
• A Comparative Study of Several Genetic-Based Supervised Learning Systems.