A novel support vector machine metamodel for business risk identification

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	A novel support vector machine metamodel for business risk identification
	Lai, Kin Keung ; Yu, Lean ; Huang, Wei ; Wang, Shouyang
	2006
发表期刊	PRICAI 2006: TRENDS IN ARTIFICIAL INTELLIGENCE, PROCEEDINGS
ISSN	0302-9743
卷号	4099 页码:980-984
摘要	In this study, support vector machine (SVM) is used as a metamodeling technique to design a business risk identification system. First of all, a bagging sampling technique is used to generate different training sets. Based on the different training sets, different SVM models with different parameters, i.e., base models, are then trained to formulate different classifiers. Finally, a SVM-based metamodel (i.e., metaclassifier) can be produced by learning from all base models. For illustration the proposed metamodel is applied to a real-world business insolvency risk classification problem.
语种	英语
WOS研究方向	Computer Science
WOS类目	Computer Science, Artificial Intelligence ; Computer Science, Theory & Methods
WOS记录号	WOS:000240091500118
出版者	SPRINGER-VERLAG BERLIN
引用统计
文献类型	期刊论文
条目标识符	http://ir.amss.ac.cn/handle/2S8OKBNM/2920
专题	系统科学研究所
通讯作者	Lai, Kin Keung
作者单位	1.Hunan Univ, Coll Business Adm, Changsha 410082, Peoples R China 2.City Univ Hong Kong, Dept Management Sci, Kowloon, Hong Kong, Peoples R China 3.Huazhong Univ Sci & Technol, Sch Management, Wuhan 430074, Peoples R China 4.Chinese Acad Sci, Inst Syst Sci, Acad Math & Syst Sci, Beijing 100080, Peoples R China
推荐引用方式 GB/T 7714	Lai, Kin Keung,Yu, Lean,Huang, Wei,et al. A novel support vector machine metamodel for business risk identification[J]. PRICAI 2006: TRENDS IN ARTIFICIAL INTELLIGENCE, PROCEEDINGS,2006,4099:980-984.
APA	Lai, Kin Keung,Yu, Lean,Huang, Wei,&Wang, Shouyang.(2006).A novel support vector machine metamodel for business risk identification.PRICAI 2006: TRENDS IN ARTIFICIAL INTELLIGENCE, PROCEEDINGS,4099,980-984.
MLA	Lai, Kin Keung,et al."A novel support vector machine metamodel for business risk identification".PRICAI 2006: TRENDS IN ARTIFICIAL INTELLIGENCE, PROCEEDINGS 4099(2006):980-984.