Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases
Data Mining (DM) is the most commonly used name to describe such computational analysis of data and the results obtained must conform to several objectives such as accuracy, comprehensibility, interest for the user etc. Though there are many sophisticated techniques developed by various interdiscipl...
Enregistré dans:
| Auteur principal: | |
|---|---|
| Autres auteurs: | , |
| Format: | Livre numérique |
| Langue: | Anglais |
| Publié: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Collection: | Studies in Computational Intelligence
98 |
| Accès en ligne: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Note: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases, Texte imprimé, 9783540774662 • Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases, Texte imprimé, 9783642096150 • Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases, Texte imprimé, 9783540846963 |