All glossary terms
conceptsintermediate

Anomaly Detection

An unsupervised learning task that identifies abnormal or unusual data points.

In more detail

Anomaly detection finds outliers, fraud, or unusual patterns. Methods include isolation forests, autoencoders, and statistical approaches. Applications: fraud detection, system monitoring, medical diagnosis.

Examples

  • Credit card fraud detection
  • Cybersecurity intrusion detection
  • Medical anomaly detection
  • Manufacturing defect detection

Related terms

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