An empirical study of cost-sensitive learning in cultural modeling
Su, Peng1; Mao, Wenji2; Zeng, Daniel2,3
Source PublicationINFORMATION SYSTEMS AND E-BUSINESS MANAGEMENT
2013-09-01
Volume11Issue:3Pages:437-455
SubtypeArticle
AbstractCultural 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.
KeywordCultural Modeling Cost-sensitive Learning Class Imbalance Problem Misclassification Cost Behavior Modeling And Prediction
WOS HeadingsSocial Sciences
Indexed BySSCI
Language英语
WOS Research AreaBusiness & Economics
WOS SubjectBusiness ; Management
WOS IDWOS:000322390400006
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/7941
Collection复杂系统管理与控制国家重点实验室_先进控制与自动化
Affiliation1.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
Recommended Citation
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.
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