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: Towards a Unified Modeling and Knowledge-Representation based on Lattice Theory
    sub title: Computational Intelligence and Soft Computing Applications
  name:
    name part: Kaburlasos, Vassilis G.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2006
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XXII, 245 p. online resource.
  abstract: By ‘model’ we mean a mathematical description of a world aspect. With the proliferation of computers a variety of modeling paradigms emerged under computational intelligence and soft computing. An advancing technology is currently fragmented due, as well, to the need to cope with different types of data in different application domains. This research monograph proposes a unified, cross-fertilizing approach for knowledge-representation and modeling based on lattice theory. The emphasis is on clustering, classification, and regression applications. It is shown how rigorous analysis and design can be pursued in soft computing using conventional (hard computing) methods. Moreover, non-Turing computation can be pursued. The material here is multi-disciplinary based on our on-going research published in major scientific journals and conferences. Experimental results by various algorithms are demonstrated extensively. Relevant work by other authors is also presented both extensively and comparatively.
  table of contents: The Context -- Origins in Context -- Relevant Literature Review -- Theory and Algorithms -- Novel Mathematical Background -- Real-World Grounding -- Knowledge Representation -- The Modeling Problem and its Formulation -- Algorithms for Clustering, Classification, and Regression -- Applications and Comparisons -- Numeric Data Applications -- Nonnumeric Data Applications -- Connections with Established Paradigms -- Conclusion -- Implementation Issues -- Discussion.
  note: by Vassilis G. Kaburlasos.
  subject:
    topic: Computer science
  subject:
    topic: Computers
  subject:
    topic: Artificial intelligence
  subject:
    topic: Applied mathematics
  subject:
    topic: Engineering mathematics
  subject:
    topic: Computer Science
  subject:
    topic: Theory of Computation
  subject:
    topic: Artificial Intelligence (incl. Robotics)
  subject:
    topic: Appl.Mathematics/Computational Methods of Engineering
  subject:
    topic: Applications of Mathematics
  classification: QA75.5-76.95
  classification: 004.0151
  related item:
    title info:
      title: Springer eBooks
  identifier: 9783540341703
  identifier: http://dx.doi.org/10.1007/978-3-540-34170-3
  record info:
    record creation date: 100301
    record change date: 20151204180447.0
    record identifier: 978-3-540-34170-3