Anomaly detection method, program, and system
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United States of America Patent
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Nov 21, 2017
Grant Date -
Sep 8, 2016
app pub date -
May 12, 2016
filing date -
Jun 14, 2012
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Abstract
A method providing an analytical technique introducing label information into an anomaly detection model. The method includes the steps of: inputting measurement data having an anomalous or normal label and measurement data having no label as samples; determining a similarity matrix indicating the relationship between the samples based on the samples; defining a penalty based on the similarity matrix and calculating parameters in accordance with an updating equation having a term reducing the penalty; and calculating a degree of anomaly based on the calculated parameters. The present invention also provides a program and system for detecting an anomaly based on measurement data.
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