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: Computational intelligence in data mining
  name:
    name part: Della Riccia, G.
    role:
      role term: editor.
  name:
    name part: Kruse, Rudolf
    role:
      role term: editor.
  name:
    name part: Lenz, Hans-Joachim
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  genre: bibliography
  genre: conference publication
  genre: Electronic books.
  genre: Conference proceedings.
  origin info:
    place:
      place term: au
    date issued: 2000
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (166 pages) : illustrations.
  abstract: The book aims to merge Computational Intelligence with Data Mining, which are both hot topics of current research and industrial development, Computational Intelligence, incorporates techniques like data fusion, uncertain reasoning, heuristic search, learning, and soft computing. Data Mining focuses on unscrambling unknown patterns or structures in very large data sets. Under the headline "Discovering Structures in Large Databases the book starts with a unified view on Data Mining and Statistics A System Point of View. Two special techniques follow: Subgroup Mining, and Data Mining with Possibilistic Graphical Models. "Data Fusion and Possibilistic or Fuzzy Data Analysis is the next area of interest. An overview of possibilistic logic, nonmonotonic reasoning and data fusion is given, the coherence problem between data and non-linear fuzzy models is tackled, and outlier detection based on learning of fuzzy models is studied. In the domain of "Classification and Decomposition adaptive clustering and visualisation of high dimensional data sets is introduced. Finally, in the section "Learning and Data Fusion learning of special multi-agents of virtual soccer is considered. The last topic is on data fusion based on stochastic models.
  note: edited by Giacomo Della Riccia, Rudolf Kruse, Hans-J. Lenz.
  note: Includes bibliographical references.
  subject:
    topic: Data mining
    genre: Congresses
  subject:
    topic: Computational intelligence
    genre: Congresses
  subject:
    topic: Computational intelligence
  subject:
    topic: Data mining
  classification: QA76.9.D343 C66 2000eb
  classification: 006.3/12
  related item:
    title info:
      title: Computational intelligence in data mining
    identifier: (OCoLC)45036330
  related item:
    title info:
      title: Courses and lectures ; number 408
  identifier: 9783709125885 (electronic bk.)
  identifier: 370912588X (electronic bk.)
  identifier: 9783211833261
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: GW5XE
    record creation date: 140717
    record change date: 20260420214335.5
    record identifier: in00003556356
    language of cataloging:
      language term: eng