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Feature Selection for Knowledge Discovery and Data Mining - the Springer International Series in Engineering and Computer Science H. Motoda 1998 edition
Feature Selection for Knowledge Discovery and Data Mining - the Springer International Series in Engineering and Computer Science
H. Motoda
Shows the essence of representative feature selection methods and compares them using data sets with combinations of intrinsic properties according to the objective of feature selection. This book suggests guidelines on how to use different methods under various circumstances and points challenges in this area. It is intended as a reference book.
214 pages, biography
| Mediji | Grāmatas Hardcover Book (Grāmata ar cieto muguriņu un vāku) |
| Izlaists | 1998. gada 31. jūlijs |
| ISBN13 | 9780792381983 |
| Izdevēji | Kluwer Academic Publishers |
| Lapas | 214 |
| Izmēri | 158 × 241 × 20 mm · 462 g |
| Valoda | Angļu |