Using Data Mining Techniques in Fiscal Fraud Detection-Reference-Cited by-同舟云学术

Using Data Mining Techniques in Fiscal Fraud Detection

Published:1999 Issue: Volume: Page:369-376
ISSN:0302-9743
Container-title:DataWarehousing and Knowledge Discovery
language:
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Author:

Bonchi F.,Giannotti F.,Mainetto G.,Pedreschi D.

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/3-540-48298-9_39

Reference10 articles.

1. Fawcett, T, Provost, F., “Adaptive Fraud Detection”, Data Mining and Knowledge Discovery, Vol. 1, No. 1, pp. 291–316, (1997).

2. Uthurusamy, R., “From Data Mining to Knowledge Discovery: Current Challenges and Future Directions”, in Knowledge Discovery in Databases, Piatesky-Shapiro and Frawley (eds.), AAAI Press, Menlo Park, CA, (1991).

3. Fawcett, T, Provost, F., “Robust Classification Systems for Imprecise Environment”, Proc of the 15th Int. Conf. AAAI-98, (1998).

4. Stolfo, S., Fan, D., Lee, W., Prodromidis, A., Chan, P., “Credit Card Fraud detection using Metalearning: Issues and Initial Results”, Working Notes AAAI-97, (1997).

5. Tanzi, V., Shome, P., “A Primer on Tax Evasion”, in IMF Staff Papers, No 4, (1993).

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