Big data analytics for cyber-physical systems : machine learning for the Internet of Things /

Big data analytics for cyber-physical systems : machine learning for the Internet of Things /

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Bibliographic Details
Edition:First edition.
Imprint:Amsterdam : Elsevier, 2019.
Description:1 online resource
Language:English
Subject:
Big data.
Discourse analysis, Narrative.
Truthfulness and falsehood.
Online social networks.
Big data.
Discourse analysis, Narrative.
Online social networks.
Truthfulness and falsehood.
Electronic books.
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11930501
Hidden Bibliographic Details
Other authors / contributors:Dartmann, Guido, editor.
Song, Houbing, editor.
Schmeink, Anke, editor.
ISBN:9780128166468
0128166460
9780128166376
Notes:Online resource; title from PDF title page (EBSCO, viewed July 18, 2019)
Summary:Big Data Analytics in Cyber-Physical Systems: Machine Learning for the Internet of Things examines sensor signal processing, IoT gateways, optimization and decision-making, intelligent mobility, and implementation of machine learning algorithms in embedded systems. This book focuses on the interaction between IoT technology and the mathematical tools used to evaluate the extracted data of those systems. Each chapter provides the reader with a broad list of data analytics and machine learning methods for multiple IoT applications. Additionally, this volume addresses the educational transfer needed to incorporate these technologies into our society by examining new platforms for IoT in schools, new courses and concepts for universities and adult education on IoT and data science. .

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