• DocumentCode
    2410300
  • Title

    Formal concept analysis based on hierarchical class analysis

  • Author

    Chen, Yaohua ; Yao, Yiyu

  • Author_Institution
    Dept. of Comput. Sci., Regina Univ., Sask., Canada
  • fYear
    2005
  • fDate
    8-10 Aug. 2005
  • Firstpage
    285
  • Lastpage
    292
  • Abstract
    The study of concept formation and learning is a central topic in cognitive informatics. Formal concept analysis can be viewed as an approach on this topic based on a formal context. In this paper, we study some basic data units for formal concept analysis based on hierarchical class analysis. In a formal context, objects and attributes can be grouped into equivalence classes based on equivalence relations. The order relations define the hierarchical structures of the equivalence classes. There exist some basic sets of objects and attributes that are used to not only reflect the equivalence relation and order relation, but also constitute all formal concepts derived from the formal context. The properties of these basic sets are studied and analyzed.
  • Keywords
    cognitive systems; equivalence classes; learning (artificial intelligence); cognitive informatics; equivalence classes; formal concept analysis; hierarchical class analysis; Artificial intelligence; Brain modeling; Cognitive informatics; Computer science; Data analysis; Humans; Information analysis; Knowledge representation; Signal analysis; Signal processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cognitive Informatics, 2005. (ICCI 2005). Fourth IEEE Conference on
  • Print_ISBN
    0-7803-9136-5
  • Type

    conf

  • DOI
    10.1109/COGINF.2005.1532643
  • Filename
    1532643