Data-Driven Mining, Learning and Analytics for Secured Smart Cities: Trends and Advances (1st ed. 2021) (Advanced Sciences and Technologies for Security Applications)
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- Synopsis
- 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.
- Copyright:
- 2021
Book Details
- Book Quality:
- Publisher Quality
- ISBN-13:
- 9783030721398
- Related ISBNs:
- 9783030721381
- Publisher:
- Springer International Publishing
- Date of Addition:
- 05/30/21
- Copyrighted By:
- The Editor
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Computers and Internet, Technology, Politics and Government
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.
- Edited by:
- Chinmay Chakraborty
- Edited by:
- Jerry Chun-Wei Lin
- Edited by:
- Mamoun Alazab
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- by Chinmay Chakraborty
- by Jerry Chun-Wei Lin
- by Mamoun Alazab
- in Nonfiction
- in Computers and Internet
- in Technology
- in Politics and Government