Big Data and Networks Technologies

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.

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 29May 2, 2019 Written by respected experts in the field