Integrating Data Mining Techniques for Fraud Detection in Financial Control Processes
Viktor M. Sushkov,
Pavel Y. Leonov,
Olga S. Nadezhina
et al.
Abstract:Detecting fraud in financial control processes poses significant challenges due to the complex nature of financial transactions and the evolving tactics employed by fraudsters. This paper investigates the integration of data mining techniques, specifically the combination of Benford's Law and machine learning algorithms, to create an enhanced framework for fraud detection. The paper highlights the importance of combating fraudulent activities and the potential of data mining techniques to bolster detection eff… Show more
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