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Decision and Inhibitory Trees and Rules for Decision Tables with Many valued Dec Alsolami 1st ed. 2020 edition
Decision and Inhibitory Trees and Rules for Decision Tables with Many valued Dec
Alsolami
The results presented here (including the assessment of a new tool - inhibitory trees) offer valuable tools for researchers in the areas of data mining, knowledge discovery, and machine learning, especially those whose work involves decision tables with many-valued decisions.
276 pages, 100 Tables, color; 8 Illustrations, color; 36 Illustrations, black and white; XVII, 276 p
| Medios de comunicación | Libros Book |
| Publicado | 27 de marzo de 2019 |
| ISBN13 | 9783030128531 |
| Editores | Springer Nature Switzerland AG |
| Páginas | 276 |
| Dimensiones | 150 × 220 × 20 mm · 589 g |
| Lengua | Alemán |