2012 ASimpleMethodologyforSoftCostSe

• (Jan et al., 2012) ⇒ Te-Kang Jan, Da-Wei Wang, Chi-Hung Lin, and Hsuan-Tien Lin. (2012). “A Simple Methodology for Soft Cost-sensitive Classification.” In: Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2012). ISBN:978-1-4503-1462-6 doi:10.1145/2339530.2339555

Subject Headings:

Cited By

• http://scholar.google.com/scholar?q=%222012%22+A+Simple+Methodology+for+Soft+Cost-sensitive+Classification
• http://dl.acm.org/citation.cfm?id=2339530.2339555&preflayout=flat#citedby

Quotes

Author Keywords

• Classification; cost-sensitive learning; data mining; learning; multicriteria optimization; regularization

Abstract

Many real-world data mining applications need varying cost for different types of classification errors and thus call for cost-sensitive classification algorithms. Existing algorithms for cost-sensitive classification are successful in terms of minimizing the cost, but can result in a high error rate as the trade-off. The high error rate holds back the practical use of those algorithms. In this paper, we propose a novel cost-sensitive classification methodology that takes both the cost and the error rate into account. The methodology, called soft cost-sensitive classification, is established from a multicriteria optimization problem of the cost and the error rate, and can be viewed as regularizing cost-sensitive classification with the error rate. The simple methodology allows immediate improvements of existing cost-sensitive classification algorithms. Experiments on the benchmark and the real-world data sets show that our proposed methodology indeed achieves lower test error rates and similar (sometimes lower) test costs than existing cost-sensitive classification algorithms.

References

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2012 ASimpleMethodologyforSoftCostSe	Hsuan-Tien Lin Te-Kang Jan Da-Wei Wang Chi-Hung Lin			A Simple Methodology for Soft Cost-sensitive Classification				10.1145/2339530.2339555		2012