• DocumentCode
    2581847
  • Title

    dmFSQL: a Language for Data Mining

  • Author

    Carrasco, Ramón Alberto ; Vila, María Amparo ; Araque, Francisco

  • Author_Institution
    Dpto. de Lenguajes y Sistemas Informaticos, Univ. de Granada
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    440
  • Lastpage
    444
  • Abstract
    At present, we have a FSQL server available for Oraclecopy databases which allow us to query a fuzzy or classical database with the FSQL (fuzzy SQL) language for any data type. The FSQL language is an extension of the SQL language, which permits us to write flexible conditions in our queries to a fuzzy or traditional database. In this paper, we proceed to extend FSQL into a new language called dmFSQL (data mining fuzzy structured query language) which can be used to solve real problems of clustering and classification. We consider that this model satisfies the requirements of data mining systems
  • Keywords
    SQL; data mining; fuzzy set theory; Oracle database; data mining fuzzy structured query language; dmFSQL; fuzzy SQL language; Concrete; Data mining; Database languages; Delta modulation; Expert systems; Fuzzy systems; High level languages; Hybrid intelligent systems; Relational databases; XML;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Database and Expert Systems Applications, 2006. DEXA '06. 17th International Workshop on
  • Conference_Location
    Krakow
  • ISSN
    1529-4188
  • Print_ISBN
    0-7695-2641-1
  • Type

    conf

  • DOI
    10.1109/DEXA.2006.53
  • Filename
    1698382