• DocumentCode
    3262446
  • Title

    Formal concept analysis in relational contexts

  • Author

    Jiang, Feng ; Meng, Youxin ; Liu, Yun

  • Author_Institution
    Coll. of Inf. & Sci. Technol., Qingdao Univ. of Sci. & Technol., Songling
  • fYear
    2008
  • fDate
    26-28 Aug. 2008
  • Firstpage
    326
  • Lastpage
    329
  • Abstract
    Formal concept analysis (FCA) is a method mainly used for the analysis of data, which identifies conceptual structures among data sets. Central to FCA is the notion of formal context. A formal context is usually defined as a binary relation between a set of objects and a set of attributes. But in real world, it is more meaningful to consider the direct relations between objects (or individuals). In this paper, in order to model those relations between individuals in real world, we shall propose a different kind of context - relational context for FCA, which contains a universe U of objects and a binary relation r on U. The definitions of relational concepts in relational contexts and the basic properties about relational contexts and relational concepts are also given.
  • Keywords
    data analysis; relational databases; conceptual structures; data analysis; formal concept analysis; formal context; relational concepts; relational contexts; Context modeling; Data analysis; Data engineering; Data mining; Educational institutions; Information analysis; Information retrieval; Lattices; Relational databases; Rough sets; Formal concept analysis; relational concepts; relational contexts;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Granular Computing, 2008. GrC 2008. IEEE International Conference on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-4244-2512-9
  • Electronic_ISBN
    978-1-4244-2513-6
  • Type

    conf

  • DOI
    10.1109/GRC.2008.4664730
  • Filename
    4664730