Data-Driven Mining, Learning and Analytics for Secured Smart Cities Trends and Advances
Heftet /
2022
/ Engelsk
Produktdetaljer
ISBN
9783030721411
Publisert
2022-04-29
Utgiver
Springer Nature Switzerland AG; Springer Nature Switzerland AG
Høyde
235 mm
Bredde
155 mm
Aldersnivå
Upper undergraduate, P, 06
Språk
Product language
Engelsk
Format
Product format
Heftet
Antall sider
10
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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Offers a rigorous introduction to theoretical foundations and practical solution techniques for smart cities, blockchain, data analytics, intelligence, and security Includes case studies emphasizing social and research perspectives Provides a summary at the end of each chapter of the key points, discussion points, exercises, and solutions
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Produktdetaljer
ISBN
9783030721411
Publisert
2022-04-29
Utgiver
Springer Nature Switzerland AG; Springer Nature Switzerland AG
Høyde
235 mm
Bredde
155 mm
Aldersnivå
Upper undergraduate, P, 06
Språk
Product language
Engelsk
Format
Product format
Heftet
Antall sider
10