Big data and networks technologies
Big data and networks technologies
edited by Yousef Farhaoui
- First edition
- 1 recurso en línea (VII, 372 páginas) 181 ilustraciones, 120 ilustraciones a color
- Lecture Notes in Networks and Systems 81 2367-3370 Intelligent Technologies and Robotics (Springer-42732) .
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.
9783030236724
10.1007/978-3-030-23672-4 doi
Datos masivos
Redes informáticas
Análisis de sistemas
QA76.9 .B45 / 2020 EB
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.
9783030236724
10.1007/978-3-030-23672-4 doi
Datos masivos
Redes informáticas
Análisis de sistemas
QA76.9 .B45 / 2020 EB