Data-Driven Mining, Learning and Analytics for Secured Smart Cities : Trends and Advances Chinmay Chakraborty (Editor), Jerry Chun-Wei Lin (Editor), Mamoun Alazab (Editor)

By:

Chakraborty, Chinmay

Material type: Text

TextPublication details: Cham, Switzerland Springer 2021Description: 383 pages 23 cmISBN:

9783030721381

DDC classification:

628 CHA

Summary: 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.

List(s) this item appears in: Physical Books: Architecture+Interiors+Design

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Holdings
Item type	Current library	Shelving location	Call number	Copy number	Status	Date due	Barcode
Books	CamTech Library	FaB's Corner, Faculty of Build Environment	628 CHA (Browse shelf(Opens below))	C.1	Available		CamTech 001186

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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