An empirical study of cost-sensitive learning in cultural modeling

CORC > 自动化研究所 > 中国科学院自动化研究所 > 复杂系统管理与控制国家重点实验室 > 先进控制与自动化团队

	An empirical study of cost-sensitive learning in cultural modeling
	Su, Peng 1; Mao, Wenji2 ; Zeng, Daniel2,3
刊名	INFORMATION SYSTEMS AND E-BUSINESS MANAGEMENT
	2013-09-01
卷号	11 期号:3 页码:437-455
关键词	Cultural modeling Cost-sensitive learning Class imbalance problem Misclassification cost Behavior modeling and prediction
英文摘要	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.
WOS标题词	Social Sciences
类目[WOS]	Business ; Management
研究领域[WOS]	Business & Economics
收录类别	SSCI
语种	英语
WOS记录号	WOS:000322390400006
公开日期	2015-09-22
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/7941]
专题	自动化研究所_复杂系统管理与控制国家重点实验室_先进控制与自动化团队
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.