• DocumentCode
    1356686
  • Title

    Graph-based data mining

  • Author

    Cook, Diane J. ; Holder, Lawrence B.

  • Author_Institution
    Dept. of Comput. Sci. Eng., Texas Univ., Arlington, TX, USA
  • Volume
    15
  • Issue
    2
  • fYear
    2000
  • Firstpage
    32
  • Lastpage
    41
  • Abstract
    Using databases represented as graphs, the Subdue system performs two key data mining techniques: unsupervised pattern discovery and supervised concept learning from examples. Applications to large structural databases demonstrate Subdue´s scalability and effectiveness
  • Keywords
    data mining; graph theory; learning by example; unsupervised learning; very large databases; Subdue system; data mining techniques; graph based data mining; large structural databases; scalability; supervised concept learning from examples; unsupervised pattern discovery; Acceleration; Assembly; Data mining; Data structures; Helium; Impedance matching; Intelligent systems; Scalability; Spatial databases; Testing;
  • fLanguage
    English
  • Journal_Title
    Intelligent Systems and their Applications, IEEE
  • Publisher
    ieee
  • ISSN
    1094-7167
  • Type

    jour

  • DOI
    10.1109/5254.850825
  • Filename
    850825
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1356686