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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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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
| Medie | Bøger Paperback Bog (Bog med blødt omslag og limet ryg) |
| Udgivet | 26. august 2021 |
| ISBN13 | 9783030310431 |
| Forlag | Springer Nature Switzerland AG |
| Antal sider | 649 |
| Mål | 150 × 220 × 10 mm · 916 g |
| Sprog | Tysk |
| Klipper/redaktør | Kosheleva, Olga |
| Klipper/redaktør | Shary, Sergey P. |
| Klipper/redaktør | Xiang, Gang |
| Klipper/redaktør | Zapatrin, Roman |
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