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Data mining for teleconnections in global climate datasets
Xiaoping, Gao ; Kunqing, Xie ; Xingxing, Jin ; Xiaofeng, Lei
刊名data science journal
2007
DOI10.2481/dsj.6.S611
英文摘要Teleconnection is a linkage between two climate events that occur in widely separated regions of the globe on a monthly or longer timescale. In the past, statistical methods have been used to discover teleconnections. However, because of the overwhelming volume and high resolution of dataseis acquired by modern data acquisition systems, these methods are not sufficient. In this paper, we propose a novel approach to finding teleconnections in global climate datasets using data mining technologies. We present experiments on real datasets and find some interesting teleconnections, including well-known ones such as ENSO. The experiments indicate that our method is usable and efficient.; EI; 0; SUPPL.; S611-S619; 6
语种英语
内容类型期刊论文
源URL[http://ir.pku.edu.cn/handle/20.500.11897/409776]  
专题信息科学技术学院
推荐引用方式
GB/T 7714
Xiaoping, Gao,Kunqing, Xie,Xingxing, Jin,et al. Data mining for teleconnections in global climate datasets[J]. data science journal,2007.
APA Xiaoping, Gao,Kunqing, Xie,Xingxing, Jin,&Xiaofeng, Lei.(2007).Data mining for teleconnections in global climate datasets.data science journal.
MLA Xiaoping, Gao,et al."Data mining for teleconnections in global climate datasets".data science journal (2007).
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