Buch, Englisch, Band 81, 372 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 575 g
Buch, Englisch, Band 81, 372 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 575 g
Reihe: Lecture Notes in Networks and Systems
ISBN: 978-3-030-23671-7
Verlag: Springer International Publishing
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.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Technische Wissenschaften Technik Allgemein Computeranwendungen in der Technik
- Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung
- Mathematik | Informatik EDV | Informatik Angewandte Informatik Computeranwendungen in Wissenschaft & Technologie
- Mathematik | Informatik EDV | Informatik Daten / Datenbanken Big Data
