• DocumentCode
    2704768
  • Title

    What´s new? Using prior models as a measure of novelty in knowledge discovery

  • Author

    Ludwig, Jeremy ; Livingston, Gary ; Vozalis, Emmanouil ; Buchanan, Bruce

  • Author_Institution
    Dept. of Comput. Sci., Pittsburgh Univ., PA, USA
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    86
  • Lastpage
    89
  • Abstract
    One of the challenges of knowledge discovery is identifying patterns that are interesting, with novelty an important component of interestingness. Another important aspect of knowledge discovery is making efficient use of background knowledge. This paper develops a definition of novelty relative to a prior model of the domain. The definition of novelty is tested using pneumonia outcome data and a prior model of pneumonia severity
  • Keywords
    data mining; medical information systems; very large databases; background knowledge; knowledge discovery; large databases; medical database; novelty; pneumonia outcome data; prior models; Computer science; Data mining; Intelligent systems; Laboratories; Lungs; Mathematics; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Tools with Artificial Intelligence, 2000. ICTAI 2000. Proceedings. 12th IEEE International Conference on
  • Conference_Location
    Vancouver, BC
  • ISSN
    1082-3409
  • Print_ISBN
    0-7695-0909-6
  • Type

    conf

  • DOI
    10.1109/TAI.2000.889850
  • Filename
    889850
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2704768