A new version of the rule induction system LERS
Fundamenta Informaticae
Rules in incomplete information systems
Information Sciences: an International Journal
On semantic issues connected with incomplete information databases
ACM Transactions on Database Systems (TODS)
On Databases with Incomplete Information
Journal of the ACM (JACM)
Information Sciences—Informatics and Computer Science: An International Journal
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
Incomplete Information: Structure, Inference, Complexity
Incomplete Information: Structure, Inference, Complexity
An Algorithm for Finding Equivalence Relations from Tables with Non-Deterministic Information
RSFDGrC '99 Proceedings of the 7th International Workshop on New Directions in Rough Sets, Data Mining, and Granular-Soft Computing
Discernibility functions and minimal rules in non-deterministic information systems
RSFDGrC'05 Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part I
Rules and Apriori Algorithm in Non-deterministic Information Systems
Transactions on Rough Sets IX
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RoughNon-deterministicInformationAnalysis (RNIA) is a framework for handling rough sets based concepts, which are defined in not only DISs (DeterministicInformationSystems) but also NISs (Non-deterministicInformationSystems), on computers. RNIA is also recognized as a framework of data mining from uncertain tables. This paper focuses on programs in prolog, and briefly surveys a software tool for RNIA.