..., control risk assessment, and anomaly detection. It utilizes process mining to uncover transactions that deviate from normative process flows, assesses the underlying associated controls with these deviations, and applies machine learning algorithms to supply a quantitative measure at a transactional level...

.... In this regard, this study proposes and tests three fraud detection models at different phases that are intended to detect anomalous wire transfers in transitory accounts of a major bank. The rest of the paper proceeds as follows. A literature review on anomaly detection in prior research is described...