Data-Driven Mining, Learning and Analytics for Secured Smart Cities
Download or Read eBook Data-Driven Mining, Learning and Analytics for Secured Smart Cities PDF written by Chinmay Chakraborty and published by Springer Nature. This book was released on 2021-04-28 with total page 383 pages. Available in PDF, EPUB and Kindle.
| Author | : Chinmay Chakraborty |
| Publisher | : Springer Nature |
| Total Pages | : 383 |
| Release | : 2021-04-28 |
| ISBN-10 | : 9783030721398 |
| ISBN-13 | : 3030721396 |
| Rating | : 4/5 (98 Downloads) |
Book Synopsis Data-Driven Mining, Learning and Analytics for Secured Smart Cities by : Chinmay Chakraborty
Book excerpt: 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.
