• DocumentCode
    636018
  • Title

    Use of generalized one-sided FCA approach for joining of simple object-attribute models

  • Author

    Butka, P. ; Pocsova, J. ; Pocs, J.

  • Author_Institution
    Dept. of Cybern. & Artificial Intell., Tech. Univ. of Kosice, Kosice, Slovakia
  • fYear
    2013
  • fDate
    23-25 May 2013
  • Firstpage
    331
  • Lastpage
    336
  • Abstract
    In this paper we describe the possibility for usage of generalized version of one-sided (fuzzy) concept lattices, which represents analytical method from the area of Formal Concept Analysis (FCA), for joining of several simple object-attribute models. The main advantage of the algorithm for (so-called) Generalized One-sided Concept Lattices (GOSCL) is its possibility or ability to work with various attributes types. Sometimes, the analyst needs to join some object-attribute models into one comprehensive structure, he/she is able to do it using generalized FCA approach in two basic ways, which are described within the paper. Both approaches provides isomorphic outputs, but provision of information can be different due to usage of generalized attributes, what leads to benefits like better interpretation and understanding of output models and data.
  • Keywords
    data mining; formal concept analysis; GOSCL; analytical method; formal concept analysis; generalized one-sided FCA approach; generalized one-sided concept lattices; isomorphic outputs; simple object-attribute models; Analytical models; Computational modeling; Context; Context modeling; Data models; Lattices; Standards;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Applied Computational Intelligence and Informatics (SACI), 2013 IEEE 8th International Symposium on
  • Conference_Location
    Timisoara
  • Print_ISBN
    978-1-4673-6397-6
  • Type

    conf

  • DOI
    10.1109/SACI.2013.6608992
  • Filename
    6608992