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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
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発送予定日 年7月1日 - 年7月13日
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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
| メディア | 書籍 Hardcover Book (ハードカバー付きの本) |
| リリース済み | 2021年4月29日 |
| ISBN13 | 9783030721381 |
| 出版社 | Springer Nature Switzerland AG |
| ページ数 | 383 |
| 寸法 | 150 × 220 × 20 mm · 730 g |
| 言語 | ドイツ語 |
| 編集者 | Alazab, Mamoun |
| 編集者 | Chakraborty, Chinmay |
| 編集者 | Lin, Jerry Chun-Wei |