All terms
Foundations
Anomaly Detection
Spotting data points that don't fit the normal pattern, such as fraud or equipment faults.
Definition
Anomaly detection is the task of spotting data points that do not fit the normal pattern — a fraudulent transaction, a failing machine, a network intrusion. Because real anomalies are rare and varied, models often learn what 'normal' looks like and flag anything that deviates from it.