Financial Fraud Detection Task

A Financial Fraud Detection Task is a Fraud Detection Task that can detect Financial Fraud Acts.

• AKA: FFD.
• See: Tax Fraud Detection, Exam Fraud Detection.

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References

2013

• (Sharma & Panigrahi, 2013) ⇒ Anuj Sharma, and Prabin Kumar Panigrahi. (2013). “A Review of Financial Accounting Fraud Detection based on Data Mining Techniques." arXiv preprint arXiv:1309.3944

2011

• (Ngai et al., 2011) ⇒ EWT Ngai, Yong Hu, YH Wong, Yijun Chen, and Xin Sun. (2011). “The Application of Data Mining Techniques in Financial Fraud Detection: A Classification Framework and An Academic Review of Literature.” In: Decision Support Systems, 50(3). doi:10.1016/j.dss.2010.08.006
  • QUOTE: This paper presents a review of — and classification scheme for — the literature on the application of data mining techniques for the detection of financial fraud. Although financial fraud detection (FFD) is an emerging topic of great importance,

• (Thiprungsri & Vasarhelyi, 2011) ⇒ Sutapat Thiprungsri, and Miklos A Vasarhelyi. (2011). “Cluster Analysis for Anomaly Detection in Accounting Data: An Audit Approach.” In: The International Journal of Digital Accounting Research, 11(17).
  • QUOTE: This study examines the application of cluster analysis in the accounting domain, particularly discrepancy detection in audit.

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