Outlier Detection

Anomaly detection is the task of identifying a small number of instances in a given dataset that do not conform to regular patterns, and are considered anomalies due to their significant difference from other data. As a core technique in data mining, anomaly detection has important application value in multiple fields, such as threat user identification in security and fault component prediction in manufacturing.