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(Ebook) An introduction to IoT Analytics by Harry G. Perros ISBN 9780367686314, 9780367687823, 9781003139041, 0367686317, 0367687828, 1003139043, 2020038957, 2020038958

  • SKU: EBN-24064662
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Authors:Harry G. Perros
Pages:372 pages.
Year:2021
Editon:1
Publisher:CRC Press
Language:english
File Size:11.82 MB
Format:pdf
ISBNS:9780367686314, 9780367687823, 9781003139041, 0367686317, 0367687828, 1003139043, 2020038957, 2020038958
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(Ebook) An introduction to IoT Analytics by Harry G. Perros ISBN 9780367686314, 9780367687823, 9781003139041, 0367686317, 0367687828, 1003139043, 2020038957, 2020038958

This book covers techniques that can be used to analyze data from IoTsensors and addresses questions regarding the performance of an IoT system. Itstrikes a balance between practice and theory so one can learn how to applythese tools in practice with a good understanding of their inner workings. Thisis an introductory book for readers who have no familiarity with thesetechniques.The techniques presented in An Introduction to IoT Analytics come fromthe areas of machine learning, statistics, and operations research. Machinelearning techniques are described that can be used to analyze IoT datagenerated from sensors for clustering, classification, and regression. The statisticaltechniques described can be used to carry out regression and forecasting of IoTsensor data and dimensionality reduction of data sets. Operations research isconcerned with the performance of an IoT system by constructing a model of thesystem under study and then carrying out a what-if analysis. The book alsodescribes simulation techniques.Key Features:·        IoT analytics is not just machinelearning but also involves other tools, such as forecasting and simulationtechniques.·        Many diagrams and examples are giventhroughout the book to fully explain the material presented.·        Each chapter concludes with a projectdesigned to help readers better understand the techniques described.·        The material in this book has beenclass tested over several semesters.·        Practice exercises are included withsolutions provided online at www.routledge.com/9780367686314 Harry G. Perros is a Professor of Computer Science at North CarolinaState University, an Alumni Distinguished Graduate Professor, and an IEEEFellow. He has published extensively in the area of performance modeling ofcomputer and communication systems.
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