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
fDate :
June 29 2011-July 1 2011
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;
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
DOI :
10.1109/ICSDM.2011.5969006
