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Published in:
2011 | OriginalPaper | Chapter
Uncertainty and Feature Selection in Rough Set Theory
Author : Jiye Liang
Published in: Rough Sets and Knowledge Technology
Publisher: Springer Berlin Heidelberg
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In rough set theory, the uncertainty of granulation and efficient feature selection algorithms have attracted much attention in recent years. We focus on the review of several common uncertainty measures and the relationships among them. An efficient accelerator is developed to accelerate a heuristic process of feature selection.