Data Science and Internet of Things : Research and Applications at the Intersection of DS and IoT / edited by Giancarlo Fortino, Antonio Liotta, Raffaele Gravina, Alessandro Longheu.

Format:

Book

Contributor:

Fortino, Giancarlo., Editor.

Liotta, Antonio, Editor.

Gravina, Raffaele., Editor.

Longheu, Alessandro., Editor.

SpringerLink (Online service)

Series:

Computer Science (SpringerNature-11645)

Internet of Things, Technology, Communications and Computing, 2199-1081

Language:

English

Subjects (All):

Cooperating objects (Computer systems).

Telecommunication.

Artificial intelligence-Data processing.

Data mining.

Cyber-Physical Systems.

Communications Engineering, Networks.

Data Science.

Data Mining and Knowledge Discovery.

Local Subjects:

Cyber-Physical Systems.

Communications Engineering, Networks.

Data Science.

Data Mining and Knowledge Discovery.

Physical Description:

1 online resource (XII, 182 pages) : 87 illustrations, 77 illustrations in color.

Edition:

1st ed. 2021.

Contained In:

Springer Nature eBook

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2021.

System Details:

text file PDF

Summary:

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. .

Contents:

Introduction

Machine learning algorithms, techniques and 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.

Other Format:

Printed edition:

ISBN:

978-3-030-67197-6

9783030671976

Access Restriction:

Restricted for use by site license.