Data-Driven Mining, Learning and Analytics for Secured Smart Cities: Trends and Advances (Advanced Sciences and Technologies for Security Applications)

✍ Scribed by Chinmay Chakraborty (editor), Jerry Chun-Wei Lin (editor), Mamoun Alazab (editor)

Publisher: Springer
Year: 2021
Tongue: English
Leaves: 393
Edition: 1st ed. 2021
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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.

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