• DocumentCode
    578073
  • Title

    A type of attribute reduction of formal contexts

  • Author

    Li, Tong-jun

  • Author_Institution
    Sch. of Math., Phys. & Inf. Sci., Zhejiang Ocean Univ., Zhoushan, China
  • Volume
    1
  • fYear
    2012
  • fDate
    15-17 July 2012
  • Firstpage
    130
  • Lastpage
    135
  • Abstract
    Formal concept analysis is an important mathematical tool for knowledge representation and knowledge discovery. Attribute reduction is a crucial research issue attracting many attention of researchers on formal concept analysis. This paper proposes one type of attribute reduction of formal context, in which all join-irreducible elements of a concept lattice are preserved. The join-irreducible elements of a formal context and their properties are first discussed. Then, the concept of join-irreducible-attribute reduction of formal context is then introduced. Finally, an equivalence condition of join-irreducible-consistent attribute set is given.
  • Keywords
    data mining; formal concept analysis; knowledge representation; lattice theory; concept lattice; equivalence condition; formal concept analysis; formal contexts; join-irreducible-consistent attribute reduction; knowledge discovery; knowledge representation; mathematical tool; Abstracts; Attribute reduction; concept lattices; formal contexts; join-irreducible elements;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics (ICMLC), 2012 International Conference on
  • Conference_Location
    Xian
  • ISSN
    2160-133X
  • Print_ISBN
    978-1-4673-1484-8
  • Type

    conf

  • DOI
    10.1109/ICMLC.2012.6358899
  • Filename
    6358899