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Data-driven mining, learning and ana...

Alazab, Mamoun.

Data-driven mining, learning and analytics for secured smart citiestrends and advances /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Data-driven mining, learning and analytics for secured smart citiesedited by Chinmay Chakraborty, Jerry Chun-Wei Lin, Mamoun Alazab.
Reminder of title:	trends and advances /
other author:	Chakraborty, Chinmay.
Published:	Cham :Springer International Publishing :2021.
Description:	x, 383 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Smart cities.
Online resource:	https://doi.org/10.1007/978-3-030-72139-8
ISBN:	9783030721398$q(electronic bk.)

Data-driven mining, learning and analytics for secured smart citiestrends and advances /
Data-driven mining, learning and analytics for secured smart citiestrends and advances /[electronic resource] :edited by Chinmay Chakraborty, Jerry Chun-Wei Lin, Mamoun Alazab. - Cham :Springer International Publishing :2021. - x, 383 p. :ill. (some col.), digital ;24 cm. - Advanced sciences and technologies for security applications,1613-5113. - Advanced sciences and technologies for security applications..

1. Smart City Ecosystem - An Introduction -- 2. Datafication for secured smart cities -- 3. Secured big data infrastructure services -- 4. Intelligent infrastructure of secured smart cities -- 5. Cyber-physical systems for secured smart cities -- 6. Blockchain for smart cities -- 7. Context-aware security and privacy of smart cities -- 7. Privacy and social Issues in smart cities -- 8. Sensor and RFID applications of smart cities -- 9. Advanced data mining for secured smart cities -- 10. Big data for secured smart cities -- 11. Data analytics tools and technologies for smart cities -- 12. Machine learning and AI for secured smart cities.

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.

ISBN: 9783030721398$q(electronic bk.)

Standard No.: 10.1007/978-3-030-72139-8doiSubjects--Topical Terms:

820761
Smart cities.

LC Class. No.: TD159.4 / .D37 2021

Dewey Class. No.: 628

Data-driven mining, learning and analytics for secured smart citiestrends and advances /
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505 0 $a 1. Smart City Ecosystem - An Introduction -- 2. Datafication for secured smart cities -- 3. Secured big data infrastructure services -- 4. Intelligent infrastructure of secured smart cities -- 5. Cyber-physical systems for secured smart cities -- 6. Blockchain for smart cities -- 7. Context-aware security and privacy of smart cities -- 7. Privacy and social Issues in smart cities -- 8. Sensor and RFID applications of smart cities -- 9. Advanced data mining for secured smart cities -- 10. Big data for secured smart cities -- 11. Data analytics tools and technologies for smart cities -- 12. Machine learning and AI for secured smart cities.
520 $a 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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700 1 $a Chakraborty, Chinmay. $3 881199
700 1 $a Lin, Jerry Chun-Wei. $3 801412
700 1 $a Alazab, Mamoun. $3 878260
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