• DocumentCode
    2334095
  • Title

    Knowledge discovery from diagrammatically represented data

  • Author

    Anderson, Michael

  • Author_Institution
    Dept. of Comput. & Inf. Sci., Fordham Univ., Bronx, NY, USA
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    19
  • Lastpage
    26
  • Abstract
    Knowledge discovery from diagrammatic data can be facilitated by a language that permits queries on such data. Such a language (Diagrammatic SQL) is being developed to expedite the development of an autonomous artificial intelligent agent with a capacity to deal with diagrammatic information. This language is described and examples of how it can be used to facilitate diagrammatic data mining are detailed
  • Keywords
    SQL; data mining; diagrams; knowledge representation; software agents; visual programming; Diagrammatic SQL; autonomous artificially intelligent agent; diagrammatic data mining; diagrammatic information; diagrammatically represented data; knowledge discovery; Automobiles; Buildings; Computational Intelligence Society; Data mining; Database languages; Gray-scale; Humans; Information retrieval; Information systems; Intelligent agent;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Mining, 2001. ICDM 2001, Proceedings IEEE International Conference on
  • Conference_Location
    San Jose, CA
  • Print_ISBN
    0-7695-1119-8
  • Type

    conf

  • DOI
    10.1109/ICDM.2001.989496
  • Filename
    989496
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2334095