Anomaly Detection

Use case

Anomaly Detection is used to identify data points that differ from expected patterns or the majority of the data points in the dataset. It is typically used for outlier detection, fraud detection, and error detection.

Related terms
Outlier Detection Clustering Fraud Detection Intrusion Detection