Employing cost-sensitive learning in cultural modeling

Peng Su, Wenji Mao, Dajun Zeng, Fei Yue Wang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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 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 assumptions that class distribution is balanced and different classification errors have uniform costs. However, these assumptions are often violated in practice and thus the performance of standard classifiers is severely hindered. To handle this problem, this paper studies cost-sensitive learning in cultural modeling domain by considering cost factor when building the classifiers, with the aim of minimizing total misclassification costs. We empirically investigate four typical cost-sensitive learning methods, combine them with six standard classifiers and evaluate their performances under various conditions. Our empirical study verifies the effectiveness of cost-sensitive learning in cultural modeling. Based on the results of our experimental study, we gain a thorough insight into the problem of class imbalance and non-uniform misclassification costs, as well as the selection of cost-sensitive methods, base classifiers and method-classifier pairs for this domain.

Original languageEnglish (US)
Title of host publicationProceedings of 2010 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2010
Pages398-403
Number of pages6
DOIs
StatePublished - 2010
Event2010 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2010 - QingDao, China
Duration: Jul 15 2010Jul 17 2010

Other

Other2010 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2010
CountryChina
CityQingDao
Period7/15/107/17/10

Fingerprint

Modeling
Costs
Classifier
Factors
Misclassification
Learning methods
Computational methods
Empirical study
Machine learning
Group behavior
Experimental study
Behavioral model
Imbalance

Keywords

  • Class imbalance problem
  • Classification
  • Cost-sensitive learning
  • Cultural modeling

ASJC Scopus subject areas

  • Information Systems and Management
  • Management Science and Operations Research

Cite this

Su, P., Mao, W., Zeng, D., & Wang, F. Y. (2010). Employing cost-sensitive learning in cultural modeling. In Proceedings of 2010 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2010 (pp. 398-403). [5551546] https://doi.org/10.1109/SOLI.2010.5551546

Employing cost-sensitive learning in cultural modeling. / Su, Peng; Mao, Wenji; Zeng, Dajun; Wang, Fei Yue.

Proceedings of 2010 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2010. 2010. p. 398-403 5551546.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Su, P, Mao, W, Zeng, D & Wang, FY 2010, Employing cost-sensitive learning in cultural modeling. in Proceedings of 2010 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2010., 5551546, pp. 398-403, 2010 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2010, QingDao, China, 7/15/10. https://doi.org/10.1109/SOLI.2010.5551546
Su P, Mao W, Zeng D, Wang FY. Employing cost-sensitive learning in cultural modeling. In Proceedings of 2010 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2010. 2010. p. 398-403. 5551546 https://doi.org/10.1109/SOLI.2010.5551546
Su, Peng ; Mao, Wenji ; Zeng, Dajun ; Wang, Fei Yue. / Employing cost-sensitive learning in cultural modeling. Proceedings of 2010 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2010. 2010. pp. 398-403
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