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

Data-Driven Mining, Learning and Analytics for Secured Smart Cities Trends and Advances - Advanced Sciences and Technologies for Security Applications

Paperback (29 Apr 2022)

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Publisher's Synopsis


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.

Book information

ISBN: 9783030721411
Publisher: Springer International Publishing
Imprint: Springer
Pub date:
DEWEY: 307.760285
DEWEY edition: 23
Language: English
Number of pages: 383
Weight: 605g
Height: 235mm
Width: 155mm
Spine width: 21mm