An introduction to IoT analytics / Harry G. Perros.

"An Introduction to IoT Analytics covers techniques that can be used to analyze data from IoT sensors and also addresses questions regarding the performance of an IoT system. It strikes a balance between practice and theory so that one can learn how to apply these tools in practice with a good...

Full description

Saved in:
Bibliographic Details
Online Access: Full Text (via Taylor & Francis)
Main Author: Perros, Harry G. (Author)
Other title:Introduction to internet of things.
Format: eBook
Language:English
Published: Boca Raton, FL : CRC Press, 2021.
Edition:First edition.
Series:Chapman & Hall/CRC data science series.
Subjects:
Description
Summary:"An Introduction to IoT Analytics covers techniques that can be used to analyze data from IoT sensors and also addresses questions regarding the performance of an IoT system. It strikes a balance between practice and theory so that one can learn how to apply these tools in practice with a good understanding of their inner workings. It is an introductory book for readers that have no familiarity with these techniques. The techniques presented in the book 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 a system under study, and then carry out what-if analysis. The book also describes simulation techniques. Key features: IoT analytics is not just Machine Learning but it also involves other tools, such as, forecasting and simulation techniques. Many diagrams and examples are given throughout the book to better explain the material presented. At the end of each chapter, there is a project designed to help the reader to better understand the techniques described in the chapter. The material is this book has been class tested over several semesters"--
Physical Description:1 online resource (xvii, 354 pages) : illustrations (some color)
Bibliography:Includes bibliographical references and index.
ISBN:9781000337822
1000337820
9781000337860
1000337863
9781003139041
1003139043
9781000337846
1000337847
Source of Description, Etc. Note:Online resource; title from digital title page (viewed on April 12, 2021)