Inhibitory rules in data analysis : a rough set approach
This monograph is devoted to theoretical and experimental study of inhibitory decision and association rules. Inhibitory rules contain on the right-hand side a relation of the kind "attribut does not equal value". The use of inhibitory rules instead of deterministic (standard) ones allows...
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| Главные авторы: | , , |
|---|---|
| Формат: | Livre numérique |
| Язык: | Anglais |
| Опубликовано: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
2009.
Cham : Springer Nature |
| Серии: | Studies in Computational Intelligence
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| Online-ссылка: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Примечание: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Inhibitory Rules in Data Analysis, Texte imprimé, 9783642099274 • Inhibitory Rules in Data Analysis, Texte imprimé, 9783540856801 • Inhibitory Rules in Data Analysis, Texte imprimé, 9783540856375 |
Оглавление:
- Maximal Consistent Extensions of Information Systems
- Minimal Inhibitory Association Rules for Almost All k-Valued Information Systems
- Partial Covers and Inhibitory Decision Rules
- Partial Covers and Inhibitory Decision Rules with Weights
- Classifiers Based on Deterministic and Inhibitory Decision Rules
- Lazy Classification Algorithms Based on Deterministic and Inhibitory Association Rules
- Lazy Classification Algorithms Based on Deterministic and Inhibitory Decision Rules
- Final Remarks.