Pastāsti draugiem par šo preci:
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.
| Mediji | Grāmatas Paperback Book (Grāmata ar mīksto vāku un līmēto muguru) |
| Izlaists | 2013. gada 25. aprīlis |
| ISBN13 | 9783659369568 |
| Izdevēji | LAP LAMBERT Academic Publishing |
| Lapas | 116 |
| Izmēri | 150 × 7 × 226 mm · 191 g |
| Valoda | Vācu |
Skatīt visus Laleh Golafshan ( piem., Paperback Book )