• DocumentCode
    2526355
  • Title

    A new data mining method for early warning landslides based on parallel coordinate

  • Author

    Sun, Wei ; Wang, Shuliang

  • Author_Institution
    State Key Lab. of Inf. Eng. in Surveying, Mapping & Remote Sensing, Wuhan Univ., Wuhan, China
  • fYear
    2011
  • fDate
    June 29 2011-July 1 2011
  • Firstpage
    66
  • Lastpage
    70
  • Abstract
    In this paper, a new data mining method is proposed on the basis of parallel coordinate for early warning of landslides. Landslides have resulted in many severe casualties and damaged structures and facilities. The proposed method is to analyse the landslide problems emerged with the parallel coordinates and its visualization function. It may simplify the establishment of complex model, and promote the visualization and analysis ability of spatial data, make closer relationship between spatial data and attribute data, and finally improve the effectiveness of landslide early warning.
  • Keywords
    alarm systems; data mining; data visualisation; geomorphology; geophysics computing; attribute data; data mining; early warning; landslides; parallel coordinate; spatial data analysis; spatial data visualization; visualization function; Data mining; Data visualization; Earthquakes; Geology; Hazards; Terrain factors; Visualization; Early warning landslides; clustering analysis; data mining; parallel coordinates;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Spatial Data Mining and Geographical Knowledge Services (ICSDM), 2011 IEEE International Conference on
  • Conference_Location
    Fuzhou
  • Print_ISBN
    978-1-4244-8352-5
  • Type

    conf

  • DOI
    10.1109/ICSDM.2011.5969006
  • Filename
    5969006