Four domains where anomaly detection makes sense
Anomaly detection finds the deviations that signal a failure or a threat. Four domains where it applies: fraud prevention, monitoring, networks, and regression testing.
Anomaly detection is a set of methods and machine learning algorithms that find the deviations in data. They matter because a deviation can be the sign of a serious problem, a machine about to fail or a security threat, that calls for a quick answer.
Four domains where it applies:
- preventing fraud;
- monitoring;
- networks;
- regression testing and validation.
The full article is on Ezako’s Medium page.