Detecção de Dados Suspeitos de Fraude em Organismos de Inspeção Acreditados

• Rosembergue P. Souza INMETRO
• Luiz F. R. C. Carmo INMETRO
• Luci Pirmez UFRJ

DOI: https://doi.org/10.5753/sbseg.2014.20121

Abstract

In recent years, there have been some news reports about fraud cases in activities regulated by Inmetro. Searching for new Information Technology tools to control these activities, this paper presents a mechanism to detect suspected fraud results in vehicle safety inspections. As a solution to the problem, the Markov Decision Process has been combined with Benford's Law. With the planning power of Markov Decision Process it is possible to find a subset of data with high probability of fraud.

References

Bhattacharya, S., Xu, D., and Kumar, K. (2011). An ann-based auditor decision support system using benford’s law. In Decision Support Systems, volume 50, pages 576–584. Elsevier B.V.

Cantu, F. and Saiegh, S., M. (2011). Fraudulent Democracy? An Analysis of Argentina’s Infamous Decade Using Supervised Machine Learning. In Political Analysis, volume 19, pages 409–433.

David, L. P. and Alan, K. M. (2010). Artificial Intelligence Foundations of Computational Agents. Cambridge University Press, 1st edition.

Formann, A., K. (2010). The Newcomb-Benford law in its relation to some common distributions. In PloS one, volume 5.

Garcia, S., Luengo, J., and Sáez, J. (2013). A survey of discretization techniques: Taxonomy and empirical analysis in supervised learning. In IEEE Transactions on Knowledge and Data Engineering, volume 25, pages 734–750.

Guo, H., Zhang, Q., Shi, Y., and Wang, D. (2007). On-road remote sensing measurements and fuel-based motor vehicle emission inventory in hangzhou, china. In Atmospheric Environment, volume 41, pages 3095–3107.

Lu, F. (2007). Uncovering Fraud in Direct Marketing Data with a Fraud Auditing Case Builder. In Lecture Notes in Computer Science 4702, pages 540–547.

Machado, R., C., Boccardo, D., R., Carmo, L., F. R. C., Prado, C., B., Nascimento, Tiago., M., Ribeiro, L., C., and Oliveira, T., D. (2011). Sistema de acompanhamento de inspeções de produtos perigosos. In Anais do VI Congresso Brasileiro de Metrologia.

Nigrini, M. (2012). Benford’s Law Applications for Forensic Accounting, Auditing, and Fraud Detection. John Wiley & Sons, 1st edition.

Russell, S. and Norvig, P. (2013). Artificial Intelligence A Modern Approach. Elsevier, 3nd edition.

Souza, R., Carmo, L., F. R. C., Boccardo, D., R., Pirmez, L., and Machado, R., C. (2013).

Redes de kohonen para detecção de fraudes em inspeções na área de transporte de produtos perigosos. In Anais do VII Congresso Brasileiro de Metrologia.

Wenzel, T., Singer, B., C., and Slott, R. (2000). Some issues in the statistical analysis of vehicle emissions. In Journal of Transportation Statistics, pages 1–14.