Information-Based Evaluation Criterion for Classifier's Performance
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C4.5: programs for machine learning
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Variable precision rough set model
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Rough set methods and applications
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Genetic Algorithms in Search, Optimization and Machine Learning
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PKDD '99 Proceedings of the Third European Conference on Principles of Data Mining and Knowledge Discovery
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COMPSAC '02 Proceedings of the 26th International Computer Software and Applications Conference on Prolonging Software Life: Development and Redevelopment
ROSE - Software Implementation of the Rough Set Theory
RSCTC '98 Proceedings of the First International Conference on Rough Sets and Current Trends in Computing
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PAKDD '99 Proceedings of the Third Pacific-Asia Conference on Methodologies for Knowledge Discovery and Data Mining
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TSCTC '02 Proceedings of the Third International Conference on Rough Sets and Current Trends in Computing
Reducing Number of Decision Rules by Joining
TSCTC '02 Proceedings of the Third International Conference on Rough Sets and Current Trends in Computing
Data mining based on rough sets
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Quality Measures in Data Mining (Studies in Computational Intelligence)
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Fundamenta Informaticae
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Engineering Applications of Artificial Intelligence
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RSCTC'06 Proceedings of the 5th international conference on Rough Sets and Current Trends in Computing
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RSFDGrC'05 Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part II
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Transactions on Rough Sets IV
Multimodal classification: case studies
Transactions on Rough Sets V
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IEEE Transactions on Neural Networks
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Expert Systems with Applications: An International Journal
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RSFDGrC'11 Proceedings of the 13th international conference on Rough sets, fuzzy sets, data mining and granular computing
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ICCCI'11 Proceedings of the Third international conference on Computational collective intelligence: technologies and applications - Volume Part I
International Journal of Applied Mathematics and Computer Science
Dynamic Programming Approach for Partial Decision Rule Optimization
Fundamenta Informaticae - Concurrency Specification and Programming (CS&P)
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Information Sciences: an International Journal
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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
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Fundamenta Informaticae
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Fundamenta Informaticae - Dedicated to the Memory of Professor Manfred Kudlek
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The internet service NetTRS (Network TRS) that enable to realize induction, evaluation, and postprocessing of decision rules is presented in the paper. The TRS (Tolerance Rough Sets) library is the main part of the service. The TRS library makes possible to induct, generalize and filtrate decision rules. Moreover, TRS enables to evaluate rules and conduct the classification process. The NetTRS service is a package of the library in user interface and makes it accessible in the Internet. NetTRS put principal emphasis on induction and postprocessing of decision rules, the paper describes methods and algorithms that are available in the service.