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 Analysis, Machine Learning and Applications
    sub title: Proceedings of the 31st Annual Conference of the Gesellschaft für Klassifikation e.V., Albert-Ludwigs-Universität Freiburg, March 7–9, 2007
  name:
    name part: Preisach, Christine.
    role:
      role term: editor.
  name:
    name part: Burkhardt, Hans.
    role:
      role term: editor.
  name:
    name part: Schmidt-Thieme, Lars.
    role:
      role term: editor.
  name:
    name part: Decker, Reinhold.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2008
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XVI, 719 p. online resource.
  abstract: Data analysis and machine learning are research areas at the intersection of computer science, artificial intelligence, mathematics and statistics. They cover general methods and techniques that can be applied to a vast set of applications such as web and text mining, marketing, medical science, bioinformatics and business intelligence. This volume contains the revised versions of selected papers in the field of data analysis, machine learning and applications presented during the 31st Annual Conference of the German Classification Society (Gesellschaft für Klassifikation - GfKl). The conference was held at the Albert-Ludwigs-University in Freiburg, Germany, in March 2007.
  table of contents: Classification -- Clustering -- Multidimensional Data Analysis -- Analysis of Complex Data -- Exploratory Data Analysis and Tools for Data Analysis -- Marketing and Management Science -- Banking and Finance -- Business Intelligence -- Text Mining, Web Mining, and the Semantic Web -- Linguistics -- Data Analysis in Humanities.
  note: edited by Christine Preisach, Hans Burkhardt, Lars Schmidt-Thieme, Reinhold Decker.
  subject:
    topic: Computer science
  subject:
    topic: Information technology
  subject:
    topic: Business
    topic: Data processing
  subject:
    topic: Data mining
  subject:
    topic: Artificial intelligence
  subject:
    topic: Statistics
  subject:
    topic: Computer Science
  subject:
    topic: Artificial Intelligence (incl. Robotics)
  subject:
    topic: Statistics, general
  subject:
    topic: IT in Business
  subject:
    topic: Data Mining and Knowledge Discovery
  classification: Q334-342
  classification: TJ210.2-211.495
  classification: 006.3
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Studies in Classification, Data Analysis, and Knowledge Organization
  identifier: 9783540782469
  identifier: http://dx.doi.org/10.1007/978-3-540-78246-9
  record info:
    record creation date: 100301
    record change date: 20151204175902.0
    record identifier: 978-3-540-78246-9