Editors:
- Presents the latest advances in Big Data and Networks Technologies
- Includes the Proceedings of the 3rd International Conference on Big Data and Networks Technologies (BDNT 2019), held in Leuven, Belgium on April 29–May 2, 2019
- Written by respected experts in the field
Part of the book series: Lecture Notes in Networks and Systems (LNNS, volume 81)
Conference series link(s): BDNT: International Conference on Big Data and Networks Technologies
Conference proceedings info: BDNT 2019.
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Table of contents (27 papers)
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Front Matter
About this book
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.
Editors and Affiliations
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Department of Computer Science, Faculty of Sciences and Techniques, Moulay Ismail University, Errachidia, Morocco
Yousef Farhaoui
Bibliographic Information
Book Title: Big Data and Networks Technologies
Editors: Yousef Farhaoui
Series Title: Lecture Notes in Networks and Systems
DOI: https://doi.org/10.1007/978-3-030-23672-4
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Softcover ISBN: 978-3-030-23671-7Published: 18 July 2019
eBook ISBN: 978-3-030-23672-4Published: 17 July 2019
Series ISSN: 2367-3370
Series E-ISSN: 2367-3389
Edition Number: 1
Number of Pages: VII, 372
Number of Illustrations: 61 b/w illustrations, 120 illustrations in colour
Topics: Data Engineering, Computational Intelligence, Big Data