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Big data and smart digital environment

Farhaoui, Yousef.

Big data and smart digital environment

Record Type:	Electronic resources : Monograph/item
Title/Author:	Big data and smart digital environmentedited by Yousef Farhaoui, Laila Moussaid.
other author:	Farhaoui, Yousef.
Published:	Cham :Springer International Publishing :2019.
Description:	ix, 406 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Big dataAnalysis.
Online resource:	https://doi.org/10.1007/978-3-030-12048-1
ISBN:	9783030120481$q(hardback)

Big data and smart digital environment
Big data and smart digital environment[electronic resource] /edited by Yousef Farhaoui, Laila Moussaid. - Cham :Springer International Publishing :2019. - ix, 406 p. :ill., digital ;24 cm. - Studies in big data,v.532197-6503 ;. - Studies in big data ;v.1..

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.

ISBN: 9783030120481$q(hardback)

Standard No.: 10.1007/978-3-030-12048-1doiSubjects--Topical Terms:

818723
Big data
--Analysis.

LC Class. No.: QA76.9.B45 / B543 2019

Dewey Class. No.: 005.7

Big data and smart digital environment
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520 $a 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.
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