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Data Science and Internet of Things = Research and Applications at the Intersection of DS and IoT /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Data Science and Internet of Things/ edited by Giancarlo Fortino, Antonio Liotta, Raffaele Gravina, Alessandro Longheu.
Reminder of title:	Research and Applications at the Intersection of DS and IoT /
other author:	Fortino, Giancarlo.
Description:	XII, 182 p. 87 illus., 77 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Computer engineering. -
Online resource:	https://doi.org/10.1007/978-3-030-67197-6
ISBN:	9783030671976

Data Science and Internet of Things = Research and Applications at the Intersection of DS and IoT /
Data Science and Internet of ThingsResearch and Applications at the Intersection of DS and IoT /[electronic resource] :edited by Giancarlo Fortino, Antonio Liotta, Raffaele Gravina, Alessandro Longheu. - 1st ed. 2021. - XII, 182 p. 87 illus., 77 illus. in color.online resource. - Internet of Things, Technology, Communications and Computing,2199-1081. - Internet of Things, Technology, Communications and Computing,.

Introduction -- Machine learning algorithms, techniques & applications in IoT domains -- Network science and IoT -- Social media analysis in scale -- UAV solutions in IoT -- IoT aided Smart Home Architecture for Anomaly Detection -- A modeling approach based on Multiplexity and EGT for resource sharing in Fog/Cloud Computing -- Correlations among Game of Thieves and other centrality measures in large networks -- Optimization strategy in data transmission on Narrowband IoT with LWM2M -- Improving Hydroponic Agriculture through IoT-enabled Collaborative Machine Learning -- An Energy-efficient Techniques for Constrained Application Protocol (CoAP) -- Analysis of GPS power consumption in constrained-resources devices -- A Collaborative BSN-enabled Architecture for Multi-user Activity Recognition -- Conclusion.

This book focuses on the combination of IoT and data science, in particular how methods, algorithms, and tools from data science can effectively support IoT. The authors show how data science methodologies, techniques and tools, can translate data into information, enabling the effectiveness and usefulness of new services offered by IoT stakeholders. The authors posit that if IoT is indeed the infrastructure of the future, data structure is the key that can lead to a significant improvement of human life. The book aims to present innovative IoT applications as well as ongoing research that exploit modern data science approaches. Readers are offered issues and challenges in a cross-disciplinary scenario that involves both IoT and data science fields. The book features contributions from academics, researchers, and professionals from both fields. .

ISBN: 9783030671976

Standard No.: 10.1007/978-3-030-67197-6doiSubjects--Topical Terms:

569006
Computer engineering.

LC Class. No.: TK7885-7895

Dewey Class. No.: 621.38

Data Science and Internet of Things = Research and Applications at the Intersection of DS and IoT /
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505 0 $a Introduction -- Machine learning algorithms, techniques & applications in IoT domains -- Network science and IoT -- Social media analysis in scale -- UAV solutions in IoT -- IoT aided Smart Home Architecture for Anomaly Detection -- A modeling approach based on Multiplexity and EGT for resource sharing in Fog/Cloud Computing -- Correlations among Game of Thieves and other centrality measures in large networks -- Optimization strategy in data transmission on Narrowband IoT with LWM2M -- Improving Hydroponic Agriculture through IoT-enabled Collaborative Machine Learning -- An Energy-efficient Techniques for Constrained Application Protocol (CoAP) -- Analysis of GPS power consumption in constrained-resources devices -- A Collaborative BSN-enabled Architecture for Multi-user Activity Recognition -- Conclusion.
520 $a This book focuses on the combination of IoT and data science, in particular how methods, algorithms, and tools from data science can effectively support IoT. The authors show how data science methodologies, techniques and tools, can translate data into information, enabling the effectiveness and usefulness of new services offered by IoT stakeholders. The authors posit that if IoT is indeed the infrastructure of the future, data structure is the key that can lead to a significant improvement of human life. The book aims to present innovative IoT applications as well as ongoing research that exploit modern data science approaches. Readers are offered issues and challenges in a cross-disciplinary scenario that involves both IoT and data science fields. The book features contributions from academics, researchers, and professionals from both fields. .
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