• DocumentCode
    2123045
  • Title

    An Algorithm of Spatial Association Rule Mining Based on Concept Lattice

  • Author

    Yin, Guo-Cheng

  • Author_Institution
    Guangling Coll., Yangzhou Univ., Yangzhou, China
  • fYear
    2009
  • fDate
    20-22 Sept. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    An algorithm about spatial association rule mining which is based on concept lattice is presented. Firstly, a concept lattice (a concept hierarchy) diagram is given, Moreover, databases and selected, transform spatial data into attribute data by generalizing spatial are introduced. Then the method of build spatial concept lattice by using: generalize spatial relationships into attribute relationships is given. Finally, an improvement algorithm of spatial association rule mining based concept lattice is offered and the experiment results show the algorithm is effective.
  • Keywords
    data mining; visual databases; concept hierarchy; concept lattice; spatial association rule mining; Association rules; Autocorrelation; Data mining; Educational institutions; Feature extraction; Information analysis; Lattices; Spatial databases; Spatiotemporal phenomena; Transaction databases;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Management and Service Science, 2009. MASS '09. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-4638-4
  • Electronic_ISBN
    978-1-4244-4639-1
  • Type

    conf

  • DOI
    10.1109/ICMSS.2009.5302901
  • Filename
    5302901