• DocumentCode
    2150168
  • Title

    Descriptive Granularity

  • Author

    Wasilewska, Anita

  • Author_Institution
    Dept. of Comput. Sci., Stony Brook Univ., Stony Brook, NY, USA
  • fYear
    2010
  • fDate
    14-16 Aug. 2010
  • Firstpage
    37
  • Lastpage
    38
  • Abstract
    We present here a formal syntax and semantics for a notion of a descriptive granularity. 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, or learning 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
    data mining; formal logic; set theory; data mining; descriptive granularity; formal satisfaction relation; formal syntax; granular model; semantic model; Computational modeling; Data mining; Data models; Delta modulation; Knowledge based systems; Semantics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Granular Computing (GrC), 2010 IEEE International Conference on
  • Conference_Location
    San Jose, CA
  • Print_ISBN
    978-1-4244-7964-1
  • Type

    conf

  • DOI
    10.1109/GrC.2010.117
  • Filename
    5576258
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2150168