Author:
Yang Hongwei,Zhang Zhenyu
Publisher
Springer Nature Singapore
Reference18 articles.
1. Bahnsen, A.C., Aouada, D., Ottersten, B.: Example-dependent cost-sensitive logistic regression for credit scoring. In: 2014 13th International Conference on Machine Learning and Applications, pp. 263–269. IEEE (2014)
2. Höppner, S., Stripling, E., Baesens, B., vanden Broucke, S., Verdonck, T.: Profit driven decision trees for churn prediction. Eur. J. Oper. Res. 284, 920–933 (2020)
3. Verbraken, T., Bravo, C., Weber, R., Baesens, B.: Development and application of consumer credit scoring models using profit-based classification measures. Eur. J. Oper. Res. 238, 505–513 (2014)
4. Zadrozny, B., Langford, J., Abe, N.: Cost-sensitive learning by cost-proportionate example weighting. In: Third IEEE International Conference on Data Mining, pp. 435–442. IEEE (2003)
5. Ma, J., Saul, L.K., Savage, S., Voelker, G.M.: Learning to detect malicious URLs. ACM Trans. Intell. Syst. Technol. (TIST). 2, 1–24 (2011)