Arid
DOI10.1016/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
ISSN0022-1694
EISSN1879-2707
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
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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).
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