• DocumentCode
    524459
  • Title

    An augment algorithm based on sufficient formal context

  • Author

    Wenbing, Wu ; Shuqun, Yang ; Wenxiang, Chen

  • Author_Institution
    Fuzhou Tech. Coll. of Foreign Studies, Fuzhou, China
  • Volume
    4
  • fYear
    2010
  • fDate
    22-24 June 2010
  • Abstract
    Formal Concept Analysis(FCA) is one of the powerful tools for cognitive science. A concept lattice induced by a context is the core data structure of FCA. A formal context expresses the incidence relation between objects and attributes. It is obvious that the constraint relation between attributes exists. An attribute hierarchy constituted by the attribute relation inevitably restricts the formation of context. Based on an attribute hierarchy, studying the property of the attribute hierarchy, sufficient formal context is defined, the augment algorithm of generating sufficient context is given, and its performance is shown.
  • Keywords
    data analysis; data structures; attribute hierarchy; augment algorithm; cognitive science; concept lattice; core data structure; formal concept analysis; sufficient formal context; Cognitive science; Computer science education; Data structures; Data visualization; Educational institutions; Educational technology; Lattices; Logic; Reduction method; augment method; sufficient formal context;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Education Technology and Computer (ICETC), 2010 2nd International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-6367-1
  • Type

    conf

  • DOI
    10.1109/ICETC.2010.5529663
  • Filename
    5529663