03321cam a2200421 i 4500 21730789 OSt 20260415215220.0 200829s2021 flua b 001 0 eng 2020038957 9780367687823 (hardback) 9780367686314 (paperback) 9781003139041 (ebook) 21730789 LBSOR/DLC eng DLC rda DLC pcc TK5105.8857 .P47 2021 004.678 P.H.A 2021 23 Perros, Harry G., author. An introduction to IoT analytics / Harry G. Perros. First edition. Boca Raton : CRC Press, Taylor & Francis Group, 2021. xvii, 354 pages : color illusstrations ; 26 cm text txt rdacontent unmediated n rdamedia volume nc rdacarrier Includes bibliographical references and index. Review of probability theory -- Simulation techniques -- Hypothesis testing -- Multivariable linear regression -- Time series forecasting -- Dimensionality reduction -- Clustering techniques -- Classification techniques -- Artificial neural networks -- Support vector machines -- Hidden Markov models. "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"-- Provided by publisher. Internet of things. System analysis. System analysis Statistical methods. Operations research. Online version: Perros, Harry G. Introduction to IoT analytics. First edition Boca Raton : CRC Press, 2021 9781003139041 (DLC) 2020038958 7 cbc orignew 1 ecip 20 y-gencatlg ddc BK 0 161 161 0 0 ddc 0 0 MAIN MAIN CS 2026-04-15 0 004.678 P.H.A 2021 1407 2026-04-15 21:52:31 2026-04-15 BK