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2008

Distance Metric Learning for Conditional Anomaly Detection

11 years 2 months ago
Distance Metric Learning for Conditional Anomaly Detection
Anomaly detection methods can be very useful in identifying unusual or interesting patterns in data. A recently proposed conditional anomaly detection framework extends anomaly detection to the problem of identifying anomalous patterns on a subset of attributes in the data. The anomaly always depends (is conditioned) on the value of remaining attributes. The work presented in this paper focuses on instance
Michal Valko, Milos Hauskrecht
Added 02 Oct 2010
Updated 02 Oct 2010
Type Conference
Year 2008
Where FLAIRS
Authors Michal Valko, Milos Hauskrecht
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