Attribute Reduction in Rough Set Theory - Laleh Golafshan - Books - LAP LAMBERT Academic Publishing - 9783659369568 - April 25, 2013
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Attribute Reduction in Rough Set Theory

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The fast growth of technology and necessity of using computerized data lead the human beings to search and discover new methods in data mining vast area. This book introduces the new approach of meta-heuristic algorithms in rough set attribute reduction in order to avoid the curse of dimensionality and finding the reduce subset of datasets. Meanwhile, estimation the accuracy of the model by classification task is accomplished. The proposed method in this book proves that Reheat-SA is a powerful method for large scale combinational optimization.

Media Books     Paperback Book   (Book with soft cover and glued back)
Released April 25, 2013
ISBN13 9783659369568
Publishers LAP LAMBERT Academic Publishing
Pages 116
Dimensions 150 × 7 × 226 mm   ·   191 g
Language German