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: Information Fusion in Data Mining
  name:
    name part: Torra, Prof. Vicenç.
    role:
      role term: creator
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2003
    edition: 1st ed. 2003.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: X, 234 p. online resource.
  abstract: Information fusion is becoming a major need in data mining and knowledge discovery in databases. This book presents some recent fusion techniques that are currently in use in data mining, as well as data mining applications that use information fusion. Special focus of the book is on information fusion in preprocessing, model building and information extraction with various applications.
  table of contents: Trends in Information fusion in Data Mining -- On some aggregation operators for numerical information -- Choquet integral and Sugeno integral in the Particle Deflection Plane -- Data Mining Using a Probabilistic Weighted Ordered Weighted Average (PWOWA) Operator -- Mining Interesting Patterns in Multiple Data Sources -- Discovery of Temporal Knowledge in Medical Time-Series Databases using Moving Average, Multiscale Matching and Rule Induction -- Record linkage methods for multidatabase data mining -- Modelling data by the Choquet integral -- An Algorithm Based on Alternative Projections for a Fuzzy Measure Identification Problem -- Combining Information Fusion with String Pattern Analysis: A New Method for Predicting Future Purchase Behavior -- Ensemble Learnig by a Fuzzy Classification Systems for Pattern Classification -- Data Mining Using Granular Linguistic Summaries.
  note: by Prof. Vicenç Torra.
  subject:
    topic: Applied mathematics
  subject:
    topic: Engineering mathematics
  subject:
    topic: Computers
  subject:
    topic: Computer simulation
  subject:
    topic: Information theory
  subject:
    topic: Operations research
  subject:
    topic: Decision making
  subject:
    topic: Mathematical and Computational Engineering
  subject:
    topic: Information Systems and Communication Service
  subject:
    topic: Simulation and Modeling
  subject:
    topic: Information and Communication, Circuits
  subject:
    topic: Operations Research/Decision Theory
  classification: TA329-348
  classification: TA640-643
  classification: 519
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Studies in Fuzziness and Soft Computing, 123
  identifier: 9783540365198
  identifier: https://doi.org/10.1007/978-3-540-36519-8
  record info:
    record creation date: 130426
    record change date: 20191022021926.0
    record identifier: 978-3-540-36519-8