Soft Computing for Knowledge Discovery and Data Mining
Lior Rokach is Assistant Professor at theDepartment of Information System Engineering, Ben-Gurion University of the Negev, Israel. Maimon and Rokach are recognized international experts in data mining and business intelligence, and serve in leading positions in this field. They have written numerous...
| Other Authors: | , |
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| Format: | eBook |
| Language: | English |
| Published: |
New York, NY
Springer US
2008, 2008
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| Edition: | 1st ed. 2008 |
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| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- Neural Network Methods
- to Soft Computing for Knowledge Discovery and Data Mining
- Neural Networks For Data Mining
- Improved SOM Labeling Methodology for Data Mining Applications
- Evolutionary Methods
- A Review of evolutionary Algorithms for Data Mining
- Genetic Clustering for Data Mining
- Discovering New Rule Induction Algorithms with Grammar-based Genetic Programming
- evolutionary Design of Code-matrices for Multiclass Problems
- Fuzzy Logic Methods
- The Role of Fuzzy Sets in Data Mining
- Support Vector Machines and Fuzzy Systems
- KDD in Marketing with Genetic Fuzzy Systems
- Knowledge Discovery in a Framework for Modelling with Words
- Advanced Soft Computing Methods and Areas
- Swarm Intelligence Algorithms for Data Clustering
- A Diffusion Framework for Dimensionality Reduction
- Data Mining and Agent Technology: a fruitful symbiosis
- Approximate Frequent Itemset Mining In the Presence of Random Noise
- The Impact of Overfitting and Overgeneralization on the Classification Accuracy in Data Mining