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Beyond Traditional Probabilistic Data Processing Techniques: Interval, Fuzzy etc. Methods and Their Applications - Studies in Computational Intelligence 2020 edition
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元 1.081
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远程仓调货
预计送达时间 年6月17日 - 年6月29日
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其他版本:
Beyond Traditional Probabilistic Data Processing Techniques: Interval, Fuzzy etc. Methods and Their Applications - Studies in Computational Intelligence
Accordingly, the book offers a valuable guide for researchers and practitioners interested in data processing under uncertainty, and an introduction to the latest trends and techniques in this area, suitablefor graduate students.
649 pages, 71 Illustrations, color; 71 Illustrations, black and white; XI, 649 p. 142 illus., 71 ill
| 介质类型 | 图书 Paperback Book (平装胶订图书) |
| 已发行 | 2021年8月26日 |
| ISBN13 | 9783030310431 |
| 出版商 | Springer Nature Switzerland AG |
| 页数 | 649 |
| 商品尺寸 | 150 × 220 × 10 mm · 916 g |
| 语言 | 德语 |
| 编辑 | Kosheleva, Olga |
| 编辑 | Shary, Sergey P. |
| 编辑 | Xiang, Gang |
| 编辑 | Zapatrin, Roman |