Auditing -Computer-Assisted Techniques for Fraud Detection, The CPA Journal, issue.0899, 1999. ,
Auditing Employee Hiring and Staffing, ISBN : 978-0-89413- 703-7, Publisher : The IIA Research Foundation, 2011. ,
The application of data mining techniques in financial fraud detection: A classification framework and an academic review of literature. Decision Support Systems, pp.559-569, 2011. ,
Credit card fraud detection: A fusion approach using Dempster???Shafer theory and Bayesian learning, Information Fusion, vol.10, issue.4, pp.354-363, 2009. ,
DOI : 10.1016/j.inffus.2008.04.001
A comprehensive survey of data mining-based fraud detection research, Artificial Intelligence Review, pp.1-14, 2005. ,
Data Mining: A Competitive Weapon for Banking and Retail Industries Information Systems Management, pp.62-71, 2004. ,
Models and model uncertainty in the context of risk analysis. Reliability Engineering and System Safety, pp.309-340, 2003. ,
Foundations of Risk Analysis: A Knowledge and Decision-Oriented Perspective, 2003. ,
A case study of applying boosting naive bayes to claim fraud diagnosis, IEEE Transactions on Knowledge and Data Engineering, vol.16, issue.5, pp.612-620, 2004. ,
DOI : 10.1109/TKDE.2004.1277822
A Comparison of State-of-the-Art Classification Techniques for Expert Automobile Insurance Claim Fraud Detection, Journal of Risk & Insurance, vol.69, issue.3, pp.373-421, 2002. ,
DOI : 10.1111/1539-6975.00023
Exact and approximate inference in ProBT, Revue d, Intelligence Artificielle, vol.213, pp.295-332, 2007. ,
The Optimality of Naive Bayes, American Association for Artificial Intelligence, 2004. ,