The Methods and Key Issues of Data Mining on Landslide

摘要：

After obtained a large number of low-altitude remote sensing data of hazards in Wenchuan earthquake stricken area, how to quickly extract the disaster information and access the hazards law became the key issue that restricted in post-disaster reconstruction. Because of Landslide datas characteristics of highly nonlinear, fuzzy, great data volume, types diversity; introduction of data mining and efficient intelligent information technologies becomes a necessary requirement. Data mining can quickly obtain landslide quantity, types, volume, distribution and other basic features and information; it also can predict and analyze space-time evolution characteristics of hazards chain, that fully reflects the advantage of application of data mining in the field of disaster. Based on the basic characteristics of landslide data and data mining methods can be used, The paper establishes a landslide information mining system containing landslide database, data mining module and landslide information module. Then typical analysis on the landslide data mining system is made by a example of landslide risk assessment. At last, the key problems in data mining on landslide information are proposed for the present research. The conclusions can provide a reference for data mining technology promoting in the field of disaster.

关键词： Landslide information data mining space database fuzzy analysis

作者: Cui Yun Kong Jiming Sun Feng Ni Zhenqiang

作者单位: Key Laboratory of Mountain Hazards and Earth Surface Processes, Chinese Academy of Sciences, Chengdu Key Laboratory of Mountain Hazards and Earth Surface Processes, Chinese Academy of Sciences, Chengdu

会议类型: 国际会议

会议名称: 2010 International Conference on Circuit and Signal Processing(2010年电路与信号处理国际会议 ICCSP 2010)

会议地点: 上海

会议语种:英文

页码: 385-388

在线出版日期: 2010-12-25（万方平台首次上网日期，不代表论文的发表时间）