Smart Cities: A Data Analytics Perspective

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Springer


Collection :

Lecture Notes in Intelligent Transportation and Infrastructure

Paru le : 2020-12-11

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Description


This book offers practical as well as conceptual knowledge of the latest trends, tools, techniques and methodologies of data analytics in smart cities. The smart city is an advanced technological area that is capable of understanding the environment by examining the data to improve the livability. The smart cities allow different kinds of wireless sensors to gather massive amounts, full speed and a broad range of city data. The smart city has a focus on data analytics facilitated through the IoT platforms.  There is a need to customize the IoT architecture and infrastructures to address needs in application of specific domains of smart cities such as transportation, traffic, health and, environment. The smart cities will provide next generation development technologies for urbanization that includes the need of environmental sustainability, personalization, mobility, optimum energy utilization, better administrative services and higher quality of life. Each chapter presents the reader with an in-depth investigation regarding the possibility of data analytics perspective in smart cities. The book presents cutting-edge and future perspectives of smart cities, where industry experts, scientists, and scholars exchange ideas and experience about surrounding frontier technologies, breakthrough and innovative solutions and applications.

Pages
319 pages
Collection
Lecture Notes in Intelligent Transportation and Infrastructure
Parution
2020-12-11
Marque
Springer
EAN papier
9783030609214
EAN PDF
9783030609221

Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
31
Taille du fichier
12022 Ko
Prix
168,79 €
EAN EPUB
9783030609221

Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
31
Taille du fichier
47391 Ko
Prix
168,79 €