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

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Article Title

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

Authored by

John Kwesi Erbynn
SS&C Technologies Holdings Inc, USA.

Doreen Appiah
Bowling Green State University, Ohio, USA.

Adwoa Agyeiwaa Ampomah-Britwum
Department of Statistics and Actuarial Science, KNUST, Kumasi, Ghana.

DOI or Article Link

https://doi.org/10.9734/ajeba/2026/v26i102391

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