An Introduction to IoT Analytics
eBook - ePub

An Introduction to IoT Analytics

  1. 354 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

An Introduction to IoT Analytics

About this book

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.

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Yes, you can access An Introduction to IoT Analytics by Harry G. Perros in PDF and/or ePUB format, as well as other popular books in Economics & Statistics for Business & Economics. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half Title
  3. Series Page
  4. Title Page
  5. Copyright Page
  6. Dedication
  7. Table of Contents
  8. Preface
  9. Author
  10. Chapter 1: Introduction
  11. Chapter 2: Review of Probability Theory
  12. Chapter 3: Simulation Techniques
  13. Chapter 4: Hypothesis Testing
  14. Chapter 5: Multivariable Linear Regression
  15. Chapter 6: Time Series Forecasting
  16. Chapter 7: Dimensionality Reduction
  17. Chapter 8: Clustering Techniques
  18. Chapter 9: Classification Techniques
  19. Chapter 10: Artificial Neural Networks
  20. Chapter 11: Support Vector Machines
  21. Chapter 12: Hidden Markov Models
  22. Appendix A: Some Basic Concepts of Queueing Theory
  23. Appendix B: Maximum Likelihood Estimation (MLE)
  24. Index