Big Data and Networks Technologies (Paperback, 1st ed. 2020)

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.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Lecture Notes in Networks and Systems, 81
Release date:	July 2019
First published:	2020
Editors:	Yousef Farhaoui
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	372
Edition:	1st ed. 2020
ISBN-13:	978-3-03-023671-7
Categories:	Books > Professional & Technical > Technology: general issues > General Books > Computing & IT > Computer communications & networking > General Books > Computing & IT > Applications of computing > Databases > General Books > Computing & IT > Applications of computing > Artificial intelligence > General Promotions
LSN:	3-03-023671-4
Barcode:	9783030236717

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