Elements of machine learning
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets in Knowledge Discovery 2: Applications, Case Studies, and Software Systems
Rough Sets in Knowledge Discovery 2: Applications, Case Studies, and Software Systems
Rough sets and higher order vagueness
RSFDGrC'05 Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part I
Rough sets and vague concept approximation: from sample approximation to adaptive learning
Transactions on Rough Sets V
Incremental versus non-incremental rule induction for multicriteria classification
Transactions on Rough Sets II
Information-theoretic measures associated with rough set approximations
Information Sciences: an International Journal
Fundamenta Informaticae - Contagious Creativity - In Honor of the 80th Birthday of Professor Solomon Marcus
RRIA: A Rough Set and Rule Tree Based Incremental Knowledge Acquisition Algorithm
Fundamenta Informaticae - The 9th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Conputing (RSFDGrC 2003)
Temporal Dynamics in Information Tables
Fundamenta Informaticae - From Physics to Computer Science: to Gianpiero Cattaneo for his 70th birthday
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We present a modification of a simple incremental procedure maintaining the set of all current reduct rules. It reduces searching to the part of the rule space limited by a dynamic monotonic constraint. E~ciency problems and their solutions for the class of coverage based constraints are discussed and an illustrative example is provided.