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Data-Driven Mining, Learning and Analytics for Secured Smart Cities : Trends and Advances / edited by Chinmay Chakraborty, Jerry Chun-Wei Lin, Mamoun Alazab

Contributor(s): Chakraborty, Chinmay, editor literario | Lin, Jerry Chun-Wei, editor literario | Alazab, Mamoun, editor literario
Material type: materialTypeLabelE-bookSeries: (Advanced Sciences and Technologies for Security Applications, 2363-9466); (Computer Science (SpringerNature-11645)); (Computer Science (R0) (SpringerNature-43710)).Publisher: Cham : Springer International Publising, 2021Edition: First edition 2021.Description: 1 recurso en línea (X, 383 páginas) : 93 ilustraciones, 74 ilustraciones a color.ISBN: 9783030721398.Subject: Data mining | Ciudades inteligentesOnline resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)Digital Resources
Contents:
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.
Abstract: 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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Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
LIBRO-E NO PRÉSTAMO LIBRO-E NO PRÉSTAMO Madrid Digital Acceso Electrónico (UEM) Ciencias e Ingeniería QA76.9 .D343 2021 EB (Browse shelf(Opens below)) Acceso electrónico eBook.19122123
Total holds: 0

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.

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