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

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 interacti...

Full description

Bibliographic Details
Corporate Author:	ScienceDirect (Online service)
Other Authors:	Dartmann, Guido (Editor), Song, Houbing (Editor), Schmeink, Anke (Editor)
Format:	eBook
Language:	English
Published:	Amsterdam : Elsevier, 2019.
Edition:	First edition.
Subjects:	Big data. Discourse analysis, Narrative. Truthfulness and falsehood. Online social networks. Données volumineuses. Discours narratif. Mensonge. Réseaux sociaux (Internet) Big data Discourse analysis, Narrative Online social networks Truthfulness and falsehood Electronic books.
Online Access:	Connect to the full text of this electronic book

Description
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.
Physical Description:	1 online resource (xxii, 373 pages) : illustrations
ISBN:	9780128166468 0128166460