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: Machine Learning and Data Mining in Pattern Recognition
    sub title: 13th International Conference, MLDM 2017, New York, NY, USA, July 15-20, 2017, Proceedings
  name:
    name part: Perner, Petra.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2017
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: IX, 452 p. 129 illus. online resource.
  abstract: This book constitutes the refereed proceedings of the 13th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2017, held in New York, NY, USA in July/August 2017. The 31 full papers presented in this book were carefully reviewed and selected from 150 submissions. The topics range from theoretical topics for classification, clustering, association rule and pattern mining to specific data mining methods for the different multi-media data types such as image mining, text mining, video mining, and Web mining.
  table of contents: Classification -- Clustering -- Association rule -- Pattern mining -- Specific data mining methods -- Different multi-media data types -- Image mining -- Text mining -- Video mining -- Web mining. .
  note: edited by Petra Perner.
  subject:
    topic: Computer science
  subject:
    topic: Algorithms
  subject:
    topic: Database management
  subject:
    topic: Data mining
  subject:
    topic: Artificial intelligence
  subject:
    topic: Pattern recognition
  subject:
    topic: Computer Science
  subject:
    topic: Artificial Intelligence (incl. Robotics)
  subject:
    topic: Data Mining and Knowledge Discovery
  subject:
    topic: Pattern Recognition
  subject:
    topic: Algorithm Analysis and Problem Complexity
  subject:
    topic: Information Systems Applications (incl. Internet)
  subject:
    topic: Database Management
  classification: Q334-342
  classification: TJ210.2-211.495
  classification: 006.3
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Lecture Notes in Computer Science, 10358
  identifier: 9783319624167
  identifier: http://dx.doi.org/10.1007/978-3-319-62416-7
  record info:
    record creation date: 170701
    record change date: 20170701182020.0
    record identifier: 978-3-319-62416-7