Please use this identifier to cite or link to this item: http://hdl.handle.net/1880/45489
Title: Normal vs. Abnormal Behavior
Authors: Jensen, April
Gavrilova, Marina
Keywords: Computer Science
Issue Date: 15-Feb-2006
Abstract: 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 [23], 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.
URI: http://hdl.handle.net/1880/45489
Appears in Collections:Gavrilova, Marina

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