Anomaly detection
THE IDENTIFICATION OF RARE ITEMS, EVENTS OR OBSERVATIONS WHICH RAISE SUSPICIONS BY DIFFERING SIGNIFICANTLY FROM THE EXPECTED OR MAJORITY OF THE DATA
Novelty detector; Novelty detectors; Outlier detection; Deviation detection; Exception detection; Unsupervised anomaly detection; Supervised anomaly detection; Applications of anomaly detection
In data analysis, anomaly detection (also referred to as outlier detection and sometimes as novelty detection) is generally understood to be the identification of rare items, events or observations which deviate significantly from the majority of the data and do not conform to a well defined notion of normal behaviour. Such examples may arouse suspicions of being generated by a different mechanism, or appear inconsistent with the remainder of that set of data.