Doreen Appiah

Real-Time Anomaly Detection in Distributed Financial Transaction Streams Using Machine Learning: From Statistical Detection to Operational Reliability

Financial transaction monitoring is increasingly expected to identify anomalous and potentially fraudulent activity while transactions are still operationally actionable. This requirement is more demanding than conventional offline classification because the detector is embedded in an unbounded, distributed stream in w...