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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 | Books Paperback Book (Book with soft cover and glued back) |
| Released | April 30, 2022 |
| ISBN13 | 9789811609374 |
| Publishers | Springer Verlag, Singapore |
| Pages | 208 |
| Dimensions | 150 × 220 × 10 mm · 317 g |
| Editor | Bandyopadhyay, Mainak |
| Editor | Chandra Satapathy, Suresh |
| Editor | Rout, Minakhi |