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Learning Classifier Systems in Data Mining
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...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor Corporativo: | |
| Otros Autores: | , , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2008.
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| Edición: | 1st ed. 2008. |
| Colección: | Studies in Computational Intelligence,
125 |
| Temas: | |
| Acceso en línea: | Texto Completo |
Tabla de Contenidos:
- 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.