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Data-Driven Mining, Learning and Analytics for Secured Smart Cities: Trends and Advances - Advanced Sciences and Technologies for Security Applications 2021 edition
Data-Driven Mining, Learning and Analytics for Secured Smart Cities: Trends and Advances - Advanced Sciences and Technologies for Security Applications
383 pages, 74 Illustrations, color; 19 Illustrations, black and white; X, 383 p. 93 illus., 74 illus
| Media | Books Paperback Book (Book with soft cover and glued back) |
| Released | April 29, 2022 |
| ISBN13 | 9783030721411 |
| Publishers | Springer Nature Switzerland AG |
| Pages | 383 |
| Dimensions | 150 × 220 × 10 mm · 553 g |
| Language | German |
| Editor | Alazab, Mamoun |
| Editor | Chakraborty, Chinmay |
| Editor | Lin, Jerry Chun-Wei |