Inhibitory Rules in Data Analysis A Rough Set Approach /

• Main Authors: Delimata, Pawel. (Author), Moshkov, Mikhail Ju. (Author), Skowron, Andrzej. (Author), Suraj, Zbigniew. (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2009.
• Series: Studies in Computational Intelligence, 163
• Subjects: Engineering.; Artificial intelligence.; Engineering mathematics.; Appl.Mathematics/Computational Methods of Engineering.; Artificial Intelligence (incl. Robotics).
• Online Access: https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-3-540-85638-2

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...

Table of Contents:

• 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
• 5 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.