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Big data and networks technologies

Farhaoui, Yousef.

Big data and networks technologies

Record Type:	Electronic resources : Monograph/item
Title/Author:	Big data and networks technologiesedited by Yousef Farhaoui.
other author:	Farhaoui, Yousef.
Published:	Cham :Springer International Publishing :2020.
Description:	vii, 372 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Big data.
Online resource:	https://doi.org/10.1007/978-3-030-23672-4
ISBN:	9783030236724$q(electronic bk.)

Big data and networks technologies
Big data and networks technologies[electronic resource] /edited by Yousef Farhaoui. - Cham :Springer International Publishing :2020. - vii, 372 p. :ill., digital ;24 cm. - Lecture notes in networks and systems,v.812367-3370 ;. - Lecture notes in networks and systems ;v.1..

This book reviews the state of the art in big data analysis and networks technologies. It addresses a range of issues that pertain to: signal processing, probability models, machine learning, data mining, databases, data engineering, pattern recognition, visualization, predictive analytics, data warehousing, data compression, computer programming, smart cities, networks technologies, etc. Data is becoming an increasingly decisive resource in modern societies, economies, and governmental organizations. In turn, data science inspires novel techniques and theories drawn from mathematics, statistics, information theory, computer science, and the social sciences. All papers presented here are the product of extensive field research involving applications and techniques related to data analysis in general, and to big data and networks technologies in particular. Given its scope, the book will appeal to advanced undergraduate and graduate students, postdoctoral researchers, lecturers and industrial researchers, as well general readers interested in big data analysis and networks technologies.

ISBN: 9783030236724$q(electronic bk.)

Standard No.: 10.1007/978-3-030-23672-4doiSubjects--Topical Terms:

609582
Big data.

LC Class. No.: QA76.9.B45

Dewey Class. No.: 005.7

Big data and networks technologies
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520 $a This book reviews the state of the art in big data analysis and networks technologies. It addresses a range of issues that pertain to: signal processing, probability models, machine learning, data mining, databases, data engineering, pattern recognition, visualization, predictive analytics, data warehousing, data compression, computer programming, smart cities, networks technologies, etc. Data is becoming an increasingly decisive resource in modern societies, economies, and governmental organizations. In turn, data science inspires novel techniques and theories drawn from mathematics, statistics, information theory, computer science, and the social sciences. All papers presented here are the product of extensive field research involving applications and techniques related to data analysis in general, and to big data and networks technologies in particular. Given its scope, the book will appeal to advanced undergraduate and graduate students, postdoctoral researchers, lecturers and industrial researchers, as well general readers interested in big data analysis and networks technologies.
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