rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    non sort: An
    title: introduction to IoT analytics
  title info:
    title: Introduction to internet of things
  name:
    name part: Perros, Harry G.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Taylor & Francis
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: flu
    date issued: 2021
    copyright date: 2021
    edition: First edition.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (xvii, 354 pages) : illustrations (some color)
  abstract: "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"--
  table of contents: 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.
  note: Harry G. Perros.
  note: Includes bibliographical references and index.
  subject:
    topic: Internet of things
  subject:
    topic: System analysis
  subject:
    topic: System analysis
    topic: Statistical methods
  subject:
    topic: Operations research
  subject:
    topic: Internet des objets
  subject:
    topic: Analyse de systèmes
  subject:
    topic: Analyse de systèmes
    topic: Méthodes statistiques
  subject:
    topic: Recherche opérationnelle
  subject:
    topic: systems analysis
  subject:
    topic: BUSINESS & ECONOMICS
    topic: Statistics
  subject:
    topic: COMPUTERS
    topic: Computer Graphics
    topic: Game Programming & Design
  subject:
    topic: COMPUTERS
    topic: Computer Science
  subject:
    topic: Internet of things
  subject:
    topic: Operations research
  subject:
    topic: System analysis
  subject:
    topic: System analysis
    topic: Statistical methods
  classification: TK5105.8857 .P47 2021
  classification: 004.67/8
  related item:
    title info:
      title: An introduction to IoT analytics
    name:
      name part: Perros, Harry G.
    origin info:
      publisher: Boca Raton : CRC Press, 2021
      edition: First edition.
    identifier: (DLC) 2020038957
  related item:
    title info:
      title: Chapman & Hall/CRC data science series
  identifier: 9781000337822
  identifier: 1000337820
  identifier: 9781000337860
  identifier: 1000337863
  identifier: 9781003139041
  identifier: 1003139043
  identifier: 9781000337846
  identifier: 1000337847
  identifier: 9780367687823
  identifier: 9780367686314
  identifier: 2020038958
  identifier: 9781003139041 Taylor & Francis
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: DLC
    record creation date: 200829
    record change date: 20241108170055.0
    record identifier: in00005526398
    language of cataloging:
      language term: eng