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Attribute Reduction in Rough Set Theory Laleh Golafshan
Attribute Reduction in Rough Set Theory
Laleh Golafshan
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 |
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