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Data Science and Internet of Thingsr...

Fortino, Giancarlo.

Data Science and Internet of Thingsresearch and applications at the intersection of DS and IoT /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Data Science and Internet of Thingsedited by Giancarlo Fortino ... [et al.].
Reminder of title:	research and applications at the intersection of DS and IoT /
other author:	Fortino, Giancarlo.
Published:	Cham :Springer International Publishing :2021.
Description:	xii, 182 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Internet of things.
Online resource:	https://doi.org/10.1007/978-3-030-67197-6
ISBN:	9783030671976$q(electronic bk.)

Data Science and Internet of Thingsresearch 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 ... [et al.]. - Cham :Springer International Publishing :2021. - xii, 182 p. :ill. (some col.), digital ;24 cm. - Internet of things,2199-1073. - Internet of things..

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$q(electronic bk.)

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

670954
Internet of things.

LC Class. No.: TK5105.8857 / .D38 2021

Dewey Class. No.: 004.678

Data Science and Internet of Thingsresearch 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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