• DocumentCode
    1950674
  • Title

    The research progress of spatial data mining technique

  • Author

    Jin, Hailiang ; Miao, Baoliang

  • Author_Institution
    Key Lab. of Mine Spatial Inf. Technol., Henan Polytech. Univ., Jiaozuo, China
  • Volume
    3
  • fYear
    2010
  • fDate
    9-11 July 2010
  • Firstpage
    81
  • Lastpage
    84
  • Abstract
    More and more spatial data are used with the application and development of modern science and technique; therefore, obtaining the spatial knowledge becomes more and more important and meaningful. The tremendous amounts of spatial and non-spatial data have been stored in large spatial database. These are far beyond the human ability to interpret and analysis of them, which is urgently in need of spatial data mining to provide knowledge. This makes spatial data mining become a promising research filed. From the basic conceptions of spatial data mining, this paper introduced characteristics of spatial data, summarized the typical spatial data mining method in recent years, and analyzed the future research direction.
  • Keywords
    data analysis; data mining; very large databases; visual databases; large spatial database; spatial data mining; spatial knowledge; Data mining; Geographic Information Systems; Image resolution; data mining; knowledge discovery; spatial data mining; spatial database;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-5537-9
  • Type

    conf

  • DOI
    10.1109/ICCSIT.2010.5564659
  • Filename
    5564659