no code implementations • 15 Dec 2008 • Fei Tony Liu, Kai Ming Ting, Zhi-Hua Zhou
Most existing model-based approaches to anomaly detection construct a profile of normal instances, then identify instances that do not conform to the normal profile as anomalies.
Anomaly Detection Unsupervised Anomaly Detection with Specified Settings -- 0.1% anomaly +4