Inhibitory Rules in Data Analysis

This monograph is devoted to theoretical and experimental study of inhibitory decision and association rules. The most important feature of this monograph is that it includes an advanced mathematical analysis of problems on inhibitory rules.

The state of the art of inhibitory rules in data analysis and rough sets

Contenu
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.