Testing the Fraud Detection Ability of Different User Profiles by Means of FF-NN Classifiers-Reference-Cited by-同舟云学术

Testing the Fraud Detection Ability of Different User Profiles by Means of FF-NN Classifiers

Published:2006 Issue: Volume: Page:872-883
ISSN:0302-9743
Container-title:Artificial Neural Networks – ICANN 2006
language:
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Author:

Hilas Constantinos S.,Sahalos John N.

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/11840930_91.pdf

Reference23 articles.

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2. Bolton, R.J., Hand, D.J.: Statistical fraud detection: a review. Statistical Science 17(3), 235–255 (2002)

3. ACTS ACo95, project ASPeCT: Legal aspects of fraud detection. AC095/KUL/W26/ DS/P/25/2 (1998)

4. Hilas, C.S., Sahalos, J.N.: User profiling for fraud detection in telecommunications networks. In: Proc. of the 5th Int. Conf. on Technology and Automation - ICTA 2005, Thessaloniki Greece, pp. 382–387 (2005)

5. Moreau, Y., Preneel, B., Burge, P., Shawe-Taylor, J., Stoermann, C., Cooke, C.: Novel Techniques for Fraud Detection in Mobile Telecommunication Networks. ACTS Mobile Summit. Granada Spain (1997)

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