• DocumentCode
    1605268
  • Title

    Descriptive data mining; A granular model

  • Author

    Wasilewska, Anita

  • Author_Institution
    Dept. of Comput. Sci., Stony Brook Univ., Stony Brook, NY
  • fYear
    2008
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    We present here a formal syntax and semantics for descriptive data mining. We do so in terms of three abstract models: Descriptive, Semantic, and Granular. The Descriptive Model formalizes the syntactical concepts and properties of the data mining process. Semantic Model formalizes its semantical properties. The Granular Model establishes a relationship between the Descriptive and Semantic models in terms of a formal satisfaction relation.
  • Keywords
    computational linguistics; data mining; formal languages; descriptive data mining; formal satisfaction relation; formal semantic model; formal symbolic language; formal syntactical concept; granular model; Association rules; Classification tree analysis; Computer science; Data mining; Decision trees; Electronic mail; Formal languages; Information systems; Knowledge based systems; Neural networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Information Processing Society, 2008. NAFIPS 2008. Annual Meeting of the North American
  • Conference_Location
    New York City, NY
  • Print_ISBN
    978-1-4244-2351-4
  • Electronic_ISBN
    978-1-4244-2352-1
  • Type

    conf

  • DOI
    10.1109/NAFIPS.2008.4531342
  • Filename
    4531342
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1605268