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Data-Driven Mining, Learning and Analytics for Secured Smart Cities: Trends and Advances (2021)

Contributor(s): Chakraborty, Chinmay (Editor), Lin, Jerry Chun-Wei (Editor), Alazab, Mamoun (Editor)

ISBN: 9783030721381

Publisher: Springer

Hardcover
$169.99
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Pub Date: April 29, 2021

Lexile Code: 0000

Features: Illustrated

Target Age Group: NA to NA

Physical Info: 0.88" H x 9.21" L x 6.14" W ( 1.61 lbs) 383 pages

Series: Advanced Sciences and Technologies for Security Applications

Descriptions, Reviews, etc.

Description:
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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