Kevin Fulcer et al. explore the use of unsupervised learning techniques to enhance audit analytics by identifying anomalies as outliers in financial datasets in their article Application of Outlier Detection Methods in Audit Analytics. These methods enable auditors to uncover potentially high-risk transactions without the need for labeled outcomes, offering a scalable and efficient solution […]
Enhancing Audit Analytics with AI: Outlier Detection for Identifying High-Risk Transactions
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