Data-Driven Mining, Learning and Analytics for Secured Smart Cities
Trends and Advances
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Beschreibung
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.
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.
Offers a rigorous introduction to theoretical foundations and practical solution techniques for smart cities, blockchain, data analytics, intelligence, and security Includes case studies emphasizing social and research perspectives Provides a summary at the end of each chapter of the key points, discussion points, exercises, and solutions
Autor*in
Chinmay Chakraborty
Themen in »Data-Driven Mining, Learning and Analytics for Secured Smart Cities«
Data Analytics Technological Innovations Cyber Physical Systems Intelligent Urbanism Ubiquitous Computing in Digital Cities Internet of Things Big Data Machine Learning Blockchain for smart cities Computer Engineering Security and Privacy Artificial Intelligence