Complex Network Construction Method to Extract the Nature Disaster Chain Based on Data Mining

被引:0
|
作者
Zheng, Liang [1 ]
Wang, Fei [1 ]
Zheng, Xiaocui [1 ]
机构
[1] Tsinghua Univ, Inst Safety Sci & Technol Shenzhen, Shenzhen, Guangdong, Peoples R China
来源
PROCEEDINGS OF 2017 IEEE 7TH INTERNATIONAL CONFERENCE ON ELECTRONICS INFORMATION AND EMERGENCY COMMUNICATION (ICEIEC) | 2017年
关键词
disaster chain; co-occurrence analysis; data mining; Complex Network;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Natural disasters frequently occur all over the world in recent years, and the disaster research is called for concern. The current research shows that a disaster often causes different kinds of other secondary disasters, therefore the related aspects about disaster chain is needed to be intensively investigate. This paper firstly introduces the state of art of disaster chain and then adapts the complex network model to construct nature disaster network. To solve the problem of lack of disaster cases, a large number of disaster literature are explored with the defined data mining tool to find the relationship among disasters, and cooccurrence analysis is employed to build disaster network. Based on that, the approach to extract a proper disaster chain is proposed, and a typhoon case is selected. The given methodology, is greatly helpful for disaster mitigation and prevention.
引用
收藏
页码:25 / 28
页数:4
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