Detecting credit card fraud by Modified Fisher Discriminant Analysis

Author:

Mahmoudi Nader,Duman Ekrem

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference38 articles.

1. Aihua, S., Rencheng, T., & Yaochen, D. (2007). Application of classification models on credit card fraud detection. In Proceedings – ICSSSM’07: 2007 international conference on service systems and service management.

2. Alexandre-Cortizo, E., Rosa-Zurera, M., & Lopez-Ferreras, F. (2005). Application of fisher linear discriminant analysis to speech/music classification. In EUROCON 2005. The international conference on computer as a tool (Vol. 2, pp. 1666–1669).

3. Bolton, R. J., & Hand, D. J. (2001). Unsupervised profiling methods for fraud detection. In Proceedings of credit scoring and credit control VII (pp. 5–7).

4. Statistical fraud detection: A review;Bolton;Statistical Science,2002

5. The use of the area under the ROC curve in the evaluation of machine learning algorithms;Bradley;Pattern Recognition,1997

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