Big Data and Networks Technologies
Author | : Yousef Farhaoui |
Publisher | : Springer |
Total Pages | : 380 |
Release | : 2019-07-17 |
ISBN-10 | : 9783030236724 |
ISBN-13 | : 3030236722 |
Rating | : 4/5 (24 Downloads) |
Download or read book Big Data and Networks Technologies written by Yousef Farhaoui and published by Springer. This book was released on 2019-07-17 with total page 380 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.