Overview
- Includes results of the International Conference on Big Data and Smart Digital Environment (ICBDSDE 2018) held in Casablanca, Morocco on 29–30 November 2018
- Presents recent research in Big Data and Smart Digital Environment
- Written by experts in the field
Part of the book series: Studies in Big Data (SBD, volume 53)
Included in the following conference series:
Conference proceedings info: ICBDSDE 2018.
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Table of contents (41 papers)
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Big Data and Smart Digital Environment
Keywords
About this book
This book reviews the state of the art of big data analysis and smart city. It includes issues which pertain to signal processing, probability models, machine learning, data mining, database, data engineering, pattern recognition, visualisation, predictive analytics, data warehousing, data compression, computer programming, smart city, etc. Data is becoming an increasingly decisive resource in modern societies, economies, and governmental organizations. Data science inspires novel techniques and theories drawn from mathematics, statistics, information theory, computer science, and social science. Papers in this book were the outcome of research conducted in this field of study. The latter makes use of applications and techniques related to data analysis in general and big data and smart city in particular.
The book appeals to advanced undergraduate and graduate students, postdoctoral researchers, lecturers and industrial researchers, as well as anyone interested in big data analysis and smart city.
Editors and Affiliations
Bibliographic Information
Book Title: Big Data and Smart Digital Environment
Editors: Yousef Farhaoui, Laila Moussaid
Series Title: Studies in Big Data
DOI: https://doi.org/10.1007/978-3-030-12048-1
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Hardcover ISBN: 978-3-030-12047-4Published: 22 February 2019
Softcover ISBN: 978-3-030-12050-4Published: 28 October 2020
eBook ISBN: 978-3-030-12048-1Published: 21 February 2019
Series ISSN: 2197-6503
Series E-ISSN: 2197-6511
Edition Number: 1
Number of Pages: IX, 406
Number of Illustrations: 169 b/w illustrations
Topics: Computational Intelligence, Artificial Intelligence, Big Data