• DocumentCode
    3167597
  • Title

    Association Rule Analysis of Spatial Data Mining Based on Matlab-A Case of Ancheng Township in China

  • Author

    Zheng, Xinqi ; Zhao, Lu

  • Author_Institution
    China Univ. of GeoSciences, Beijing
  • fYear
    2008
  • fDate
    23-24 Jan. 2008
  • Firstpage
    76
  • Lastpage
    80
  • Abstract
    Though there are many methods for spatial data mining, it is also a desirable problem that how to carry out this operation fast. Matlab is called full-purpose calculation paper. And it has certain advantage in carrying out data mining because of its powerful matrix calculation function. According to the association rule method of data mining, spatial data of land use and slope was processed and extracted on Geographic Information System (GIS) at first, and data mining was performed by the program, which was wrote in M-language of Matlab. The study area was Ancheng township in Shandong province of China. The confidence and the support between different land use types and slope levels were mined, and the association rules were set up. Through the empirical study, it has been proved that this study method is feasible and the conclusion can provide instruction for local land use planning.
  • Keywords
    data mining; visual databases; Geographic Information System; association rule analysis; local land use planning; matrix calculation function; spatial data mining; Association rules; Computer languages; Data analysis; Data mining; Decision making; Geographic Information Systems; Geology; Land use planning; Production; Spatial databases;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Knowledge Discovery and Data Mining, 2008. WKDD 2008. First International Workshop on
  • Conference_Location
    Adelaide, SA
  • Print_ISBN
    978-0-7695-3090-1
  • Type

    conf

  • DOI
    10.1109/WKDD.2008.21
  • Filename
    4470353