Data-Driven Mining, Learning and Analytics for Secured Smart Cities: Trends and Advances - Advanced Sciences and Technologies for Security Applications - - Books - Springer Nature Switzerland AG - 9783030721381 - April 29, 2021
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Data-Driven Mining, Learning and Analytics for Secured Smart Cities: Trends and Advances - Advanced Sciences and Technologies for Security Applications 2021 edition

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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.

383 pages, 74 Illustrations, color; 19 Illustrations, black and white; X, 383 p. 93 illus., 74 illus

Media Books     Hardcover Book   (Book with hard spine and cover)
Released April 29, 2021
ISBN13 9783030721381
Publishers Springer Nature Switzerland AG
Pages 383
Dimensions 150 × 220 × 20 mm   ·   730 g
Language German  
Editor Alazab, Mamoun
Editor Chakraborty, Chinmay
Editor Lin, Jerry Chun-Wei

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