UID:
almahu_9948130037302882
Umfang:
VII, 372 p. 181 illus., 120 illus. in color.
,
online resource.
Ausgabe:
1st ed. 2020.
ISBN:
9783030236724
Serie:
Lecture Notes in Networks and Systems, 81
Inhalt:
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.
In:
Springer eBooks
Weitere Ausg.:
Printed edition: ISBN 9783030236717
Weitere Ausg.:
Printed edition: ISBN 9783030236731
Sprache:
Englisch
DOI:
10.1007/978-3-030-23672-4
URL:
https://doi.org/10.1007/978-3-030-23672-4
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