An empirical study of cost-sensitive learning in cultural modeling

CASIA OpenIR > 多模态人工智能系统全国重点实验室 > 平行智能技术与系统团队

	An empirical study of cost-sensitive learning in cultural modeling
	Su, Peng 1; Mao, Wenji2 ; Zeng, Daniel2,3
发表期刊	INFORMATION SYSTEMS AND E-BUSINESS MANAGEMENT
	2013-09-01
卷号	11 期号:3 页码:437-455
文章类型	Article
摘要	Cultural modeling aims at developing behavioral models of groups and analyzing the impact of culture factors on group behavior using computational methods. Machine learning methods and in particular classification, play a central role in such applications. In modeling cultural data, it is expected that standard classifiers yield good performance under the assumption that different classification errors have uniform costs. However, this assumption is often violated in practice. Therefore, the performance of standard classifiers is severely hindered. To handle this problem, this paper empirically studies cost-sensitive learning in cultural modeling. We consider cost factor when building the classifiers, with the aim of minimizing total misclassification costs. We conduct experiments to investigate four typical cost-sensitive learning methods, combine them with six standard classifiers and evaluate their performance under various conditions. Our empirical study verifies the effectiveness of cost-sensitive learning in cultural modeling. Based on the experimental results, we gain a thorough insight into the problem of non-uniform misclassification costs, as well as the selection of cost-sensitive methods, base classifiers and method-classifier pairs for this domain. Furthermore, we propose an improved algorithm which outperforms the best method-classifier pair using the benchmark cultural datasets.
关键词	Cultural Modeling Cost-sensitive Learning Class Imbalance Problem Misclassification Cost Behavior Modeling And Prediction
WOS标题词	Social Sciences
收录类别	SSCI
语种	英语
WOS研究方向	Business & Economics
WOS类目	Business ; Management
WOS记录号	WOS:000322390400006
引用统计	被引频次：2[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/7941
专题	多模态人工智能系统全国重点实验室_平行智能技术与系统团队
作者单位	1.Shandong Jianzhu Univ, Sch Management Engn, Tsinan 250101, Shandong, Peoples R China 2.Chinese Acad Sci, State Key Lab Management & Control Complex Syst, Inst Automat, Beijing 100190, Peoples R China 3.Univ Arizona, Dept Management Informat Syst, Tucson, AZ 85721 USA
推荐引用方式 GB/T 7714	Su, Peng,Mao, Wenji,Zeng, Daniel. An empirical study of cost-sensitive learning in cultural modeling[J]. INFORMATION SYSTEMS AND E-BUSINESS MANAGEMENT,2013,11(3):437-455.
APA	Su, Peng,Mao, Wenji,&Zeng, Daniel.(2013).An empirical study of cost-sensitive learning in cultural modeling.INFORMATION SYSTEMS AND E-BUSINESS MANAGEMENT,11(3),437-455.
MLA	Su, Peng,et al."An empirical study of cost-sensitive learning in cultural modeling".INFORMATION SYSTEMS AND E-BUSINESS MANAGEMENT 11.3(2013):437-455.