• DocumentCode
    495512
  • Title

    A Novel Ontology-Aided Method for Integrating Prior Knowledge into Data Mining

  • Author

    Li, Guoqi ; Lu, Minyan ; Liu, Bin

  • Author_Institution
    Dept. of Syst. Eng. of Eng. Technol., Beihang Univ., Beijing, China
  • Volume
    4
  • fYear
    2009
  • fDate
    March 31 2009-April 2 2009
  • Firstpage
    311
  • Lastpage
    314
  • Abstract
    Integrating prior knowledge into data mining is a widely interested topic. This paper firstly introduces the ontology-aided method and its application. Secondly, the methodology of our novel method is presented and then a case study is given. In the case study, on the base of analysis of former method, the detail of the novel method is described and testing on a public available dataset shows satisfied results. Finally, we draw conclusions and address future works.
  • Keywords
    data mining; ontologies (artificial intelligence); data mining; ontology-aided method; prior knowledge; public available dataset; Computer science; Data engineering; Data mining; Economic forecasting; Feature extraction; Knowledge engineering; Neural networks; Ontologies; Support vector machines; Testing; Data processing; Knowledge representation; Prediction methods;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Information Engineering, 2009 WRI World Congress on
  • Conference_Location
    Los Angeles, CA
  • Print_ISBN
    978-0-7695-3507-4
  • Type

    conf

  • DOI
    10.1109/CSIE.2009.582
  • Filename
    5171009