Smart Cities: A Data Analytics Perspective
Editors: Khan, Mohammad Ayoub, Algarni, Fahad, Quasim, Mohammad Tabrez (Eds.)
Free Preview- Focuses on the interplay role between Smart Cities and IoT technology from architecture and infrastructure perspective that includes theories, methodologies, techniques, and tools, in practice
- Presents a data analytics perspective on Smart Cities
- Is an exceptional reference for postgraduates, researchers, scientists, and developers of smart cities
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- About this book
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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.
- Table of contents (15 chapters)
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Fundamentals of Smart Cities
Pages 3-16
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A Context Aware Big Data Analytics Service-Centric Process Modeling Approach
Pages 17-41
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Smart Energy: A Collaborative Demand Response Solution for Smart Neighborhood
Pages 43-62
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Governance in Smart City: An Approach Based on Social Network
Pages 63-87
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An Overview of the Machine Learning Applied in Smart Cities
Pages 91-111
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Table of contents (15 chapters)
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Bibliographic Information
- Bibliographic Information
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- Book Title
- Smart Cities: A Data Analytics Perspective
- Editors
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- Mohammad Ayoub Khan
- Fahad Algarni
- Mohammad Tabrez Quasim
- Series Title
- Lecture Notes in Intelligent Transportation and Infrastructure
- Copyright
- 2021
- Publisher
- Springer International Publishing
- Copyright Holder
- The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG
- eBook ISBN
- 978-3-030-60922-1
- DOI
- 10.1007/978-3-030-60922-1
- Hardcover ISBN
- 978-3-030-60921-4
- Series ISSN
- 2523-3440
- Edition Number
- 1
- Number of Pages
- XIV, 319
- Number of Illustrations
- 23 b/w illustrations, 59 illustrations in colour
- Topics
