This topic describes the information about the Anomaly Detection.

Anomaly detection identifies data instances that deviate from the normal data pattern. Anomalies are unusual patterns not necessarily fraud.

For example: Suppose you are monitoring financial transactions with the columns: TRANSACTION_ID, AMOUNT, LOCATION, TIME.

Anomaly detection models may flag TXN004 as an anomaly due to the unusually high amount and odd time/location compared to typical transaction patterns.