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E-book

Title Big data and networks technologies / editor, Yousef Farhaoui
Published Cham, Switzerland : Springer Nature, [2020]
©2020

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Description 1 online resource
Series Lecture notes in networks and systems ; 81
Lecture notes in networks and systems l ; 81
Summary 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
Notes Online resource; title from PDF title page (EBSCO, viewed July 24, 2019)
Subject Big data.
Computer networks.
Computer Communication Networks
Big data
Computer networks
Form Electronic book
Author Farhaoui, Yousef, editor
ISBN 9783030236724
3030236722