Rough set algorithms in classification problem
Rough set methods and applications
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Decision Rule Based Data Models Using NetTRS System Overview
Transactions on Rough Sets IX
Credibility Coefficients in Hybrid Artificial Intelligence Systems
HAIS '09 Proceedings of the 4th International Conference on Hybrid Artificial Intelligence Systems
Ordinal Credibility Coefficient --- A New Approach in the Data Credibility Analysis
RSFDGrC '07 Proceedings of the 11th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing
Credibility coefficients based on SVM
RSCTC'10 Proceedings of the 7th international conference on Rough sets and current trends in computing
Decision rule-based data models using TRS and NetTRS – methods and algorithms
Transactions on Rough Sets XI
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This paper presents ARES Rough Set Exploration System. This system is a complex data analyzing application. The program lets the user to discretize real data, find relative static and dynamic reducts, find frequent sets, find decision rules and calculate credibility coefficients for objects from a decision table. Some information about logical and technical aspects of the system architecture is provided as well.