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Anomaly Detection in General Ledger Data: Results from a Hybrid Approach
arXiv cs.LG — Machine Learning
Factual evidence
What the source reports
Researchers propose a hybrid ML method for general ledger anomaly detection to reduce audit false positives in journal entry testing.