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Machine Learning Approaches for Urban Computing - Studies in Computational Intelligence 2021 edition
Machine Learning Approaches for Urban Computing - Studies in Computational Intelligence
This book discusses various machine learning applications and models, developed using heterogeneous data, which helps in a comprehensive prediction, optimization, association analysis, cluster analysis and classification-related applications for various activities in urban area.
208 pages, 107 Illustrations, color; 40 Illustrations, black and white; XI, 208 p. 147 illus., 107 i
| Media | Książki Paperback Book (Książka z miękką okładką i klejonym grzbietem) |
| Wydane | 30 kwietnia 2022 |
| ISBN13 | 9789811609374 |
| Wydawcy | Springer Verlag, Singapore |
| Strony | 208 |
| Wymiary | 150 × 220 × 10 mm · 317 g |
| Redaktor | Bandyopadhyay, Mainak |
| Redaktor | Chandra Satapathy, Suresh |
| Redaktor | Rout, Minakhi |