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Attribute Reduction in Rough Set Theory - Laleh Golafshan

inglise keel
2013-04-25
51,73 € 86,21 €

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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 t ... Täielik kirjeldus

Kirjeldus

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.

Lisateave

Autor Laleh Golafshan
Kirjastaja LAP LAMBERT Academic Publishing
Väljalaskeaasta 2013
Kaanetüüp Pehme kaanega
EAN 9783659369568
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51,73 € 86,21 €