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Data-Driven Mining, Learning and Analytics for Secured Smart Cities Trends and Advances

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, servi...

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Bibliographic Details
Other Authors: Chakraborty, Chinmay (Editor), Lin, Jerry Chun-Wei (Editor), Alazab, Mamoun (Editor)
Format: eBook
Language:English
Published: Cham Springer International Publishing 2021, 2021
Edition:1st ed. 2021
Series:Advanced Sciences and Technologies for Security Applications
Subjects:
Computer Communication Networks
Security Science And Technology
Urban Policy
Artificial Intelligence
Data Mining
Computer Networks 
Security Systems
Data Mining And Knowledge Discovery
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Description
Summary: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
Physical Description:X, 383 p. 93 illus., 74 illus. in color online resource
ISBN:9783030721398

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