干旱区生态环境知识资源中心(Arid): An improved GEV boosting method for imbalanced data classification with application to short-term rainfall prediction

Arid

DOI	10.1016/j.jhydrol.2022.128882
	An improved GEV boosting method for imbalanced data classification with application to short-term rainfall prediction
	He, Shuaida; Li, Zhouping; Liu, Xinwei
通讯作者	Li, ZP
来源期刊	JOURNAL OF HYDROLOGY
ISSN	0022-1694
EISSN	1879-2707
出版年	2023
卷号	617
英文摘要	This paper considers the imbalanced binary classification problem by focusing on the application of the short -term rainfall forecasting in arid and semi-arid regions. Specifically, we present a novel boosting-type method by utilizing the generalized extreme value (GEV) distribution as the link function and applying a gradient tree boosting algorithm to capture complex interactions among covariates. The proposed method has several appealing advantages such as, it can identify rare rainfall events as well as quantifying the uncertainties; it is data-driven that without any assumption on the relationship between the covariates and the rainfall event; the fitted model is highly interpretable, making it a useful tool for studying the rainfall mechanisms in arid and semi-arid regions. Experiments on two real-world datasets show that our approach outperforms its competing methods.
英文关键词	Boosting methods Extreme value distribution Rainfall prediction Rare events
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000909575100001
WOS关键词	PRECIPITATION ; REGRESSION ; RADAR
WOS类目	Engineering, Civil ; Geosciences, Multidisciplinary ; Water Resources
WOS研究方向	Engineering ; Geology ; Water Resources
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/397381
推荐引用方式 GB/T 7714	He, Shuaida,Li, Zhouping,Liu, Xinwei. An improved GEV boosting method for imbalanced data classification with application to short-term rainfall prediction[J],2023,617.
APA	He, Shuaida,Li, Zhouping,&Liu, Xinwei.(2023).An improved GEV boosting method for imbalanced data classification with application to short-term rainfall prediction.JOURNAL OF HYDROLOGY,617.
MLA	He, Shuaida,et al."An improved GEV boosting method for imbalanced data classification with application to short-term rainfall prediction".JOURNAL OF HYDROLOGY 617(2023).