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: Data Mining with SPSS Modeler
    sub title: Theory, Exercises and Solutions
  name:
    name part: Wendler, Tilo.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Gröttrup, Sören.
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2016
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XII, 1059 p. 1378 illus., 1277 illus. in color. online resource.
  abstract: Introducing the IBM SPSS Modeler, this book guides readers through data mining processes and presents relevant statistical methods. There is a special focus on step-by-step tutorials and well-documented examples that help demystify complex mathematical algorithms and computer programs. The variety of exercises and solutions as well as an accompanying website with data sets and SPSS Modeler streams are particularly valuable. While intended for students, the simplicity of the Modeler makes the book useful for anyone wishing to learn about basic and more advanced data mining, and put this knowledge into practice.
  table of contents: Preface -- Introduction -- Basic Functions of the SPSS Modeler -- Univariate Statistics -- Multivariate Statistics -- Regression Models -- Factor Analysis -- Cluster Analysis -- Classification Models -- Using R with the Modeler -- Data Sets Used in This Book.
  note: by Tilo Wendler, Sören Gröttrup.
  subject:
    topic: Statistics
  subject:
    topic: Data mining
  subject:
    topic: Computer software
  subject:
    topic: Statistics
  subject:
    topic: Statistical Theory and Methods
  subject:
    topic: Statistics and Computing/Statistics Programs
  subject:
    topic: Data Mining and Knowledge Discovery
  subject:
    topic: Mathematical Software
  classification: QA276-280
  classification: 519.5
  related item:
    title info:
      title: Springer eBooks
  identifier: 9783319287096
  identifier: http://dx.doi.org/10.1007/978-3-319-28709-6
  record info:
    record creation date: 160606
    record change date: 20160606174105.0
    record identifier: 978-3-319-28709-6