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Computational Methods of Feature Selection - Chapman & Hall / CRC Data Mining and Knowledge Discovery Series 1.º edición
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Computational Methods of Feature Selection - Chapman & Hall / CRC Data Mining and Knowledge Discovery Series
Feature selection is an essential step for successful data mining applications and has practical significance in many areas, such as statistics, pattern recognition, machine learning, and knowledge discovery. This book covers the key concepts, representative approaches, and inventive applications of various aspects of feature selection.
440 pages, 91 black & white illustrations, 43 black & white tables
| Medios de comunicación | Libros Hardcover Book (Libro con lomo y cubierta duros) |
| Publicado | 29 de octubre de 2007 |
| ISBN13 | 9781584888789 |
| Editores | Taylor & Francis Inc |
| Páginas | 440 |
| Dimensiones | 163 × 237 × 29 mm · 766 g |
| Lengua | Inglés |
| Editor | Liu, Huan (Arizona State University, Tempe, AZ) |
| Editor | Motoda, Hiroshi (AFOSR / AOARD, Tokyo, Japan) |
