An introduction to parallel algorithms
An introduction to parallel algorithms
Computation of reducts of composed information systems
Fundamenta Informaticae - Special issue: rough sets
Rough Knowledge Discovery and Applications
ECSQARU '95 Proceedings of the European Conference on Symbolic and Quantitative Approaches to Reasoning and Uncertainty
A New Approach to Distributed Algorithms for Reduct Calculation
Transactions on Rough Sets IX
Text-independent speaker verification using ant colony optimization-based selected features
Expert Systems with Applications: An International Journal
Transactions on rough sets XII
Reducts and Constructs in Attribute Reduction
Fundamenta Informaticae - International Conference on Soft Computing and Distributed Processing (SCDP'2002)
Rough Sets and Association Rule Generation
Fundamenta Informaticae
International Journal of Approximate Reasoning
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The paper addresses the problem of reduct generation, one of the key issues in the rough set theory. A considerable speed up of computations may be achieved by decomposing the original task into subtasks and executing these as parallel processes. This paper presents an effective method of such a decomposition. The presented algorithm is an adaptation of the reduct generation algorithm based on the notion of discernibility matrix. The practical behaviour of the parallel algorithm is illustrated with a computational experiment conducted for a real-life data set.