Anomaly detection: Difference between revisions

Created page with "{{see also|Machine learning terms}} ==Introduction== Machine learning Anomaly detection is the process of recognizing data points that deviate from normal behavior in a dataset. These abnormal outcomes are known as anomalies, outliers, or exceptions. Anomaly detection plays an integral role in many domains such as fraud detection, network intrusion detection, and fault detection in industrial systems. ==Applications== Anomaly detection is used in many fields to detect a..."