Attribute Reduction in Rough Set Theory - Laleh Golafshan - Libros - LAP LAMBERT Academic Publishing - 9783659369568 - 25 de abril de 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.

Medios de comunicación Libros     Paperback Book   (Libro con tapa blanda y lomo encolado)
Publicado 25 de abril de 2013
ISBN13 9783659369568
Editores LAP LAMBERT Academic Publishing
Páginas 116
Dimensiones 150 × 7 × 226 mm   ·   191 g
Lengua Alemán