Concepts

Anomaly Detection

Identifying observations that appear unusual relative to a specified reference or model. Methods and assumptions differ, including whether training data is expected to contain outliers. An unusual observation is a review signal, not proof of fraud, failure or wrongdoing, and a normal-looking observation is not automatically safe.

Reviewed

Sources

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