Abstract
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.
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© 1998 Springer-Verlag Berlin Heidelberg
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Susmaga, R. (1998). Parallel Computation of Reducts. In: Polkowski, L., Skowron, A. (eds) Rough Sets and Current Trends in Computing. RSCTC 1998. Lecture Notes in Computer Science(), vol 1424. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-69115-4_62
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DOI: https://doi.org/10.1007/3-540-69115-4_62
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