C4.5: programs for machine learning
C4.5: programs for machine learning
An introduction to genetic algorithms
An introduction to genetic algorithms
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
Machine Learning and Data Mining; Methods and Applications
Machine Learning and Data Mining; Methods and Applications
ROSE - Software Implementation of the Rough Set Theory
RSCTC '98 Proceedings of the First International Conference on Rough Sets and Current Trends in Computing
A New Version of Rough Set Exploration System
TSCTC '02 Proceedings of the Third International Conference on Rough Sets and Current Trends in Computing
Data mining based on rough sets
Data mining
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
Rule quality measures in creation and reduction of data rule models
RSCTC'06 Proceedings of the 5th international conference on Rough Sets and Current Trends in Computing
Credibility coefficients in ARES rough set exploration system
RSFDGrC'05 Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part II
DIXER – distributed executor for rough set exploration system
RSFDGrC'05 Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part II
Optimizations of Rough Set Model
Fundamenta Informaticae
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The NetTRS system is a web service that makes induction, evaluation and postprocessing of decision rules possible. The TRS library is the kernel of the system. It allows to induce rules by means of the tolerance rough sets model. The NetTRS makes user interface of the TRS library available in the Internet. The main emphasis of the NetTRS system is placed on induction and postprocessing of decision rules. This article shows the architecture and the functionality of the system. This paper describes also the parameterization of algorithms that are implemented in the TRS library.