Data-Driven Mining, Learning and Analytics for Secured Smart Cities : Trends and Advances
2021 ed.
Book Details
Format
Paperback / Softback
ISBN-10
3030721418
ISBN-13
9783030721411
Edition
2021 ed.
Publisher
Springer Nature Switzerland AG
Imprint
Springer Nature Switzerland AG
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Apr 29th, 2022
Print length
383 Pages
Ksh 23,400.00
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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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