• DocumentCode
    3122831
  • Title

    Mining linguistic summaries of databases using based Lukasiewicz implication fuzzy functional dependency

  • Author

    Yahia, S.B. ; Jaoua, Ali

  • Author_Institution
    Dept. of Comput. Sci., Sci. Fac. of Tunis, Tunisia
  • Volume
    3
  • fYear
    1999
  • fDate
    22-25 Aug. 1999
  • Firstpage
    1246
  • Abstract
    Data and knowledge mining have been recognized by many researchers as a key research topic in database systems. We are concerned with mining linguistic summaries of a relational database. The discovery of these linguistic summaries is based on fuzzy functional dependency, using Lukasiewicz implication, and their derived sound properties. We present an algorithm which implements the discovery process. Moreover, the problem of incremental maintenance of the discovered knowledge is addressed.
  • Keywords
    data mining; fuzzy logic; relational databases; Lukasiewicz implication; fuzzy functional dependency; knowledge mining; linguistic summaries; Data mining; Database systems; Electronic mail; Fuzzy sets; Humans; Machine learning; Machine learning algorithms; Minerals; Petroleum; Relational databases;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems Conference Proceedings, 1999. FUZZ-IEEE '99. 1999 IEEE International
  • Conference_Location
    Seoul, South Korea
  • ISSN
    1098-7584
  • Print_ISBN
    0-7803-5406-0
  • Type

    conf

  • DOI
    10.1109/FUZZY.1999.790080
  • Filename
    790080
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3122831