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.
Anomaly Detection
Use case
- Related terms
- Outlier Detection Clustering Fraud Detection Intrusion Detection