Classification cost: An empirical comparison among traditional classifier, Cost-Sensitive Classifier, and MetaCost

Author:

Kim Jungeun,Choi Keunho,Kim Gunwoo,Suh Yongmoo

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference25 articles.

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3. Bianca, Z., John, L., & Naoki, A. (2003). Cost-sensitive learning by cost-proportionate example weighting. In Proceedings of the third IEEE international conference on data mining (pp. 435–442).

4. Brause, R., Langsdorf, T., & Hepp, M. (1999). Neural data mining for credit card fraud detection. In Proceedings of the 11th IEEE International Conference on Tools with Artificial Intelligence (pp. 103–106).

5. Estimating the utility value of individual credit card delinquents;Chung;Expert Systems with Applications,2009

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