The term outlier refers to data that deviates significantly from
what is considered normal. Outliers are often of interest since they may
indicate that data was generated by a mechanism other than the expected one
, or may indicate abnormal or suspicious behavior. The modeling and
analysis of normal vs. abnormal behavior proves useful in security-related
areas such as biometrics, video surveillance and intrusion-detection, as well
as in other areas such as medical imaging, among others.
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