Definition - What does Anomaly Detection mean?
Anomaly detection is the identification of data points, items, observations or events that do not conform to the expected pattern of a given group. These anomalies occur very infrequently but may signify a large and significant threat such as cyber intrusions or fraud.
Anomaly detection is heavily used in behavioral analysis and other forms of analysis in order to aid in learning about the detection, identification and prediction of the occurrence of these anomalies.
Anomaly detection is also known as outlier detection.
Techopedia explains Anomaly Detection
Techniques for anomaly detection include:
- One-class support vector machines
- Determination of records that deviate from learned association rules
- Distance-based techniques
- Replicator neural networks
- Cluster analysis-based anomaly detection
- Profiling methods
- Statistical methods
- Rule-based systems
- Model-based approaches
- Distance based methods