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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
价格
元 1.075
不含税
远程仓调货
预计送达时间 年6月24日 - 年7月6日
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其他版本:
Data-Driven Mining, Learning and Analytics for Secured Smart Cities: Trends and Advances - Advanced Sciences and Technologies for Security Applications
This book provides information on data-driven infrastructure design, analytical approaches, and technological solutions with case studies for smart cities. This book aims to attract works on multidisciplinary research spanning across the computer science and engineering, environmental studies, services, urban planning and development, social sciences and industrial engineering on technologies, case studies, novel approaches, and visionary ideas related to data-driven innovative solutions and big data-powered applications to cope with the real world challenges for building smart cities.
383 pages, 74 Illustrations, color; 19 Illustrations, black and white; X, 383 p. 93 illus., 74 illus
| 介质类型 | 图书 Hardcover Book (精装硬皮书) |
| 已发行 | 2021年4月29日 |
| ISBN13 | 9783030721381 |
| 出版商 | Springer Nature Switzerland AG |
| 页数 | 383 |
| 商品尺寸 | 150 × 220 × 20 mm · 730 g |
| 语言 | 德语 |
| 编辑 | Alazab, Mamoun |
| 编辑 | Chakraborty, Chinmay |
| 编辑 | Lin, Jerry Chun-Wei |