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Multiprocessor task scheduling problem has become increasingly interesting, for both theoretical study and practical applications. Theoretical study of the problem has made significant progress recently. However, it seems not to imply practical algorithms for the problem yet. In this paper, the offline version of the Multiprocessor scheduling problem on m-processor system is discussed for the case...
Attribute reduction is an important issue in data mining and knowledge acquisition. It has been proven that computing all reductions and optimal (minimal) reduction is a NP-hard problem. This paper proposed a hybrid approach using the rough set theory and neighborhood systems for feature selection. Two neighborhood approximation operators are defined based on rough set. A neighborhood rough model...
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