• DocumentCode
    552545
  • Title

    A hierarchical structure of formal context

  • Author

    Li, Tong-jun ; Wu, Zhao-zhi ; Jing, Yan-ling

  • Author_Institution
    Sch. of Math., Phys. & Inf. Sci., Zhejiang Ocean Univ., Zhoushan, China
  • Volume
    3
  • fYear
    2011
  • fDate
    10-13 July 2011
  • Firstpage
    1113
  • Lastpage
    1117
  • Abstract
    Formal concept analysis is one kind of efficient approaches for data analysis, formal context and concept lattice are two basic notions. In this paper, by defining the dependence of attributes, one type of partial order relation among sub-contexts is investigated in detail. In the meantime, by introducing the notion of independence of a formal context, reduction of formal context is discussed. Consequently, one type of partition of attribute set is obtained, and a hierarchical structure on the attributes set of formal context is revealed.
  • Keywords
    attribute grammars; data analysis; formal concept analysis; set theory; concept lattice; data analysis; formal concept analysis; formal context; hierarchical structure; partial order relation; Context; Cybernetics; Learning systems; Machine learning; Formal contexts; concept lattice; dependent; hierarchical structure;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics (ICMLC), 2011 International Conference on
  • Conference_Location
    Guilin
  • ISSN
    2160-133X
  • Print_ISBN
    978-1-4577-0305-8
  • Type

    conf

  • DOI
    10.1109/ICMLC.2011.6016864
  • Filename
    6016864