Data-Driven Mining, Learning and Analytics for Secured Smart Cities : Trends and Advances
Chakraborty, Chinmay
Data-Driven Mining, Learning and Analytics for Secured Smart Cities : Trends and Advances Chinmay Chakraborty (Editor), Jerry Chun-Wei Lin (Editor), Mamoun Alazab (Editor) - Cham, Switzerland Springer 2021 - 383 pages 23 cm
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.
9783030721381
628 CHA
Data-Driven Mining, Learning and Analytics for Secured Smart Cities : Trends and Advances Chinmay Chakraborty (Editor), Jerry Chun-Wei Lin (Editor), Mamoun Alazab (Editor) - Cham, Switzerland Springer 2021 - 383 pages 23 cm
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.
9783030721381
628 CHA