An Introduction to IoT Analytics (Chapman & Hall/CRC Data Science Series)

Harry G. Perros

ISBN 10: 0367687828 / ISBN 13: 9780367687823

Editore: Chapman and Hall/CRC 2021-01-22, 2021

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Codice articolo 6666-TNFPD-9780367687823

Dati bibliografici

• Titolo: An Introduction to IoT Analytics (Chapman & Hall/CRC Data Science Series)
• Editore: Chapman and Hall/CRC 2021-01-22
• Data di pubblicazione: 2021
• Lingua: Inglese
• ISBN 10: 0367687828
• ISBN 13: 9780367687823
• Rilegatura: Hardcover
• Condizione: New

Descrizione articolo

Riassunto

This book covers techniques that can be used to analyze data from IoT sensors and addresses questions regarding the performance of an IoT system. It strikes a balance between practice and theory so one can learn how to apply these tools in practice with a good understanding of their inner workings. This is an introductory book for readers who have no familiarity with these techniques.

The techniques presented in An Introduction to IoT Analytics come from the areas of machine learning, statistics, and operations research. Machine learning techniques are described that can be used to analyze IoT data generated from sensors for clustering, classification, and regression. The statistical techniques described can be used to carry out regression and forecasting of IoT sensor data and dimensionality reduction of data sets. Operations research is concerned with the performance of an IoT system by constructing a model of the system under study and then carrying out a what-if analysis. The book also describes simulation techniques.

Key Features

• IoT analytics is not just machine learning but also involves other tools, such as forecasting and simulation techniques.
• Many diagrams and examples are given throughout the book to fully explain the material presented.
• Each chapter concludes with a project designed to help readers better understand the techniques described.
• The material in this book has been class tested over several semesters.
• Practice exercises are included with solutions provided online at www.routledge.com/9780367686314

Harry G. Perros is a Professor of Computer Science at North Carolina State University, an Alumni Distinguished Graduate Professor, and an IEEE Fellow. He has published extensively in the area of performance modeling of computer and communication systems.

Informazioni sull?autore

Harry G. Perros is a Professor of Computer Science at North Carolina State University, an Alumni Distinguished Graduate Professor, and an IEEE Fellow. He has published extensively in the area of performance modelling of computer and communication systems, and in his free time he likes to go sailing and play the bouzouki.