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:
    title: Open source software for statistical analysis of big data
    sub title: emerging research and opportunities
  name:
    name part: Niu, Gao
    name part: 1987-
    role:
      role term: editor.
  name:
    name part: Segall, Richard
    name part: 1949-
    role:
      role term: editor.
  name:
    name part: IGI Global Online
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: pau
    date issued: 2020
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource.
  table of contents: Chapter 1. What is open source software (OSS) and what is big data? -- Chapter 2. Open source software (OSS) for big data -- Chapter 3. Introduction to the popular open source statistical software (OSSS) -- Chapter 4. Cluster analysis in R with big data applications -- Chapter 5. Generalized linear model for automobile fatality rate prediction in R -- Chapter 6. Introduction to python and its statistical applications -- Chapter 7. A comparison of machine learning algorithms of big data for time series forecasting using python.
  note: [edited by] Richard S. Segall, Gao Niu.
  note: Electronic resource.
  note: Includes bibliographical references and index.
  subject:
    topic: Big data
  subject:
    topic: Open source software
  subject:
    topic: Statistics
    topic: Data processing
  classification: QA276.4 .O84 2020
  classification: 005.7
  related item:
    title info:
      title: Open source software for statistical analysis of big data
    origin info:
      publisher: Hershey, PA : Engineering Science Reference, an imprint of IGI Global, 2020.
    identifier: (DLC) 2019043971
  related item:
    title info:
      title: Advances in computer and electrical engineering (ACEE) book series
  identifier: 1799827704
  identifier: 1799827712
  identifier: 9781799827702
  identifier: 9781799827719
  identifier: 9781799827689
  identifier: 9781799827696
  identifier: 2019043972
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: NhCcYBP
    record creation date: 190927
    record change date: 20210728140238.0
    record identifier: in00004147423