TY - GEN
T1 - A new data mining method for early warning landslides based on parallel coordinate
AU - Sun, Wei
AU - Wang, Shuliang
PY - 2011
Y1 - 2011
N2 - 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.
AB - 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.
KW - Early warning landslides
KW - clustering analysis
KW - data mining
KW - parallel coordinates
UR - http://www.scopus.com/inward/record.url?scp=80052135862&partnerID=8YFLogxK
U2 - 10.1109/ICSDM.2011.5969006
DO - 10.1109/ICSDM.2011.5969006
M3 - Conference contribution
AN - SCOPUS:80052135862
SN - 9781424483495
T3 - ICSDM 2011 - Proceedings 2011 IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services
SP - 66
EP - 70
BT - ICSDM 2011 - Proceedings 2011 IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services
T2 - 2011 IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services, ICSDM 2011 - In Conjunction with 8th Beijing International Workshop on Geographical Information Science, BJ-IWGIS 2011
Y2 - 29 June 2011 through 1 July 2011
ER -