Evolutionary computation in data mining
This carefully edited book reflects and advances the state of the art in the area of Data Mining and Knowledge Discovery with Evolutionary Algorithms. It emphasizes the utility of different evolutionary computing tools to various facets of knowledge discovery from databases, ranging from theoretical...
保存先:
| 第一著者: | |
|---|---|
| その他の著者: | |
| フォーマット: | Livre numérique |
| 言語: | Anglais |
| 出版事項: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| シリーズ: | Studies in Fuzziness and Soft Computing
163 |
| オンライン･アクセス: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| 注記: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Evolutionary Computation in Data Mining, Texte imprimé, 9783540223702 • Evolutionary Computation in Data Mining, Texte imprimé, 9783540802662 • Evolutionary Computation in Data Mining, Texte imprimé, 9783642421952 |
目次:
- Evolutionary Algorithms for Data Mining and Knowledge Discovery
- Strategies for Scaling Up Evolutionary Instance Reduction Algorithms for Data Mining
- GAP: Constructing and Selecting Features with Evolutionary Computing
- Multi-Agent Data Mining using Evolutionary Computing
- A Rule Extraction System with Class-Dependent Features
- Knowledge Discovery in Data Mining via an Evolutionary Algorithm
- Diversity and Neuro-Ensemble
- Unsupervised Niche Clustering: Discovering an Unknown Number of Clusters in Noisy Data Sets
- Evolutionary Computation in Intelligent Network Management
- Genetic Programming in Data Mining for Drug Discovery
- Microarray Data Mining with Evolutionary Computation
- An Evolutionary Modularized Data Mining Mechanism for Financial Distress Forecasts.