株式会社極東書店トップ ＞ 商品一覧 ＞ Data-Driven Mining, Learning and Analytics for Secured Smart Cities: Trends and Advances. 2021 ed.
商品詳細
Data-Driven Mining, Learning and Analytics for Secured Smart Cities: Trends and Advances. 2021 ed.
・ISBN 978-3-030-72141-1 paper EUR 149.99
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お気に入り
★★★
| 著者・編者 | Chakraborty, Chinmay / Lin, Jerry Chun-Wei / Alazab, Mamoun (eds.), |
|---|---|
| シリーズ | (Advanced Sciences and Technologies for Security Applications) |
| 出版社 | (Springer Nature Switzerland AG, SZ) |
| 出版年月 | 2022 |
| ページ数 | 383 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A02-64768＞ |
解説
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.