Big Data and Networks Technologies: 81 - Brossura

Brossura

ISBN 10: 3030236714 ISBN 13: 9783030236717

Casa editrice: Springer, 2019

Riassunto

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.

Su questo libro

Dalla quarta di copertina

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.

Dettagli dell'edizione

• Editore: Springer
• Data di pubblicazione: 2019
• Lingua: Inglese
• ISBN 10: 3030236714
• ISBN 13: 9783030236717
• Rilegatura: Copertina flessibile
• Numero edizione: 1
• Numero di pagine: 380
• Redattore: Farhaoui Yousef
• Contatto del produttore: non disponibile
• Persona responsabile: CMN Printpool Inh. Mathis Neumann; https://www.also.com/ec/cms5/en_6000/6000/index.jsp; ; Friedrich-Karl-Str. 9; Hamburg; Germania