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Feature selection is a key issue in the research on rough set theory. However, when handling large-scale data, many current feature selection methods based on rough set theory are incapable. In this paper, two novel feature selection methods are put forward based on decomposition and composition principles. The idea of decomposition and composition is to break a complex table down into a master-table...
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