A Review of Anomalies Detection Based on Association Rules Techniques

Author:

Sadgali Imane,Sael Nawal,Benabbou Faouzia

Publisher

Springer International Publishing

Reference52 articles.

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4. Kou, Y., Lu, C.T., Sirwongwattana, S., Huang, Y.P.: Survey of fraud detection techniques. In: Proceedings of the International Conference on Networking, Sensing, and Control, pp. 749–754 (2004)

5. Bolton, R.J., Hand, D.J.: Unsupervised profiling methods for fraud detection. In: Conference of Credit Scoring and Credit Control VII, Edinburgh, UK (2001)

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