Tolerance approximation spaces
Fundamenta Informaticae - Special issue: rough sets
Mining the most interesting rules
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
Taming Large Rule Models in Rough Set Approaches
PKDD '99 Proceedings of the Third European Conference on Principles of Data Mining and Knowledge Discovery
Rough membership and bayesian confirmation measures for parameterized rough sets
RSFDGrC'05 Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part I
Decision Rule Based Data Models Using NetTRS System Overview
Transactions on Rough Sets IX
Data-driven adaptive selection of rules quality measures for improving the rules induction algorithm
RSFDGrC'11 Proceedings of the 13th international conference on Rough sets, fuzzy sets, data mining and granular computing
International Journal of Applied Mathematics and Computer Science
Decision rule-based data models using TRS and NetTRS – methods and algorithms
Transactions on Rough Sets XI
Rule quality measure-based induction of unordered sets of regression rules
AIMSA'12 Proceedings of the 15th international conference on Artificial Intelligence: methodology, systems, and applications
CHIRA---Convex Hull Based Iterative Algorithm of Rules Aggregation
Fundamenta Informaticae
Decision rule length as a basis for evaluation of attribute relevance
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology - Recent Advances in Soft Computing: Theories and Applications
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Properties of several rule quality measures are characterized in the paper. Possibilities of their application in algorithms of rules induction and reduction are presented. Influence of replacing rules accuracy with the Bayesian confirmation measure has been tested.