• DocumentCode
    1676061
  • Title

    On intent stability index for one-sided concept lattices

  • Author

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

  • Author_Institution
    Dept. of Cybern. & Artificial Intell., Tech. Univ. of Kosice, Kosice, Slovakia
  • fYear
    2015
  • Firstpage
    79
  • Lastpage
    84
  • Abstract
    The intent stability index represents an useful relevancy measure of the extracted patterns in the FCA data mining method. We describe this kind of relevancy measure for the so-called one-sided concept lattices, which represent a fuzzy generalization of the classical FCA. The basic properties of the stability index and some experimental results concerning this index conducted on randomly generated dataset are discussed.
  • Keywords
    data mining; fuzzy set theory; FCA data mining method; fuzzy generalization; intent stability index; one-sided concept lattice; Context; Data mining; Indexes; Lattices; Monte Carlo methods; Stability criteria;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Applied Computational Intelligence and Informatics (SACI), 2015 IEEE 10th Jubilee International Symposium on
  • Conference_Location
    Timisoara
  • Type

    conf

  • DOI
    10.1109/SACI.2015.7208174
  • Filename
    7208174
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1676061