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	A principle component analysis-based random forest with the potential nearest neighbor method for automobile insurance fraud identification
	Li, Yaqi; Yan, Chun; Liu, Wei; Li, Maozhen
刊名	APPLIED SOFT COMPUTING
	2018
卷号	70页码:1000-1009
关键词	Ensemble Random forest Principle component analysis Potential nearest neighbors Voting mechanism Automobile insurance fraud
DOI	10.1016/j.asoc.2017.07.027
URL标识	查看原文
公开日期	[db:dc_date_available]
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/4578998
专题	山东大学
作者单位	1.Shandong Univ Sci & Technol, Coll Math & Syst Sci, Qingdao, Shandong, Peoples R China. 2.Shandong Univ Sci & Technol
推荐引用方式 GB/T 7714	Li, Yaqi,Yan, Chun,Liu, Wei,et al. A principle component analysis-based random forest with the potential nearest neighbor method for automobile insurance fraud identification[J]. APPLIED SOFT COMPUTING,2018,70:1000-1009.
APA	Li, Yaqi,Yan, Chun,Liu, Wei,&Li, Maozhen.(2018).A principle component analysis-based random forest with the potential nearest neighbor method for automobile insurance fraud identification.APPLIED SOFT COMPUTING,70,1000-1009.
MLA	Li, Yaqi,et al."A principle component analysis-based random forest with the potential nearest neighbor method for automobile insurance fraud identification".APPLIED SOFT COMPUTING 70(2018):1000-1009.

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