分享给好友:
Uncertainty Modeling for Data Mining Zengchang Qin 2014 edition
Uncertainty Modeling for Data Mining
Zengchang Qin
Machine learning and data mining are inseparably connected with uncertainty. Uncertainty Modeling for Data Mining: A Label Semantics Approach introduces 'label semantics', a fuzzy-logic-based theory for modeling uncertainty.
291 pages, biography
| 介质类型 | 图书 Book |
| 已发行 | 2014年3月7日 |
| ISBN13 | 9783642412509 |
| 出版商 | Springer-Verlag Berlin and Heidelberg Gm |
| 页数 | 291 |
| 商品尺寸 | 242 × 165 × 25 mm · 616 g |
| 语言 | 英语 |