Overview of Anomaly Detection

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Anomaly detection is the process of checking a data stream against a set of conditions
defining the validity of the data.
The software system which performs this function comprises three main parts.
• Anomaly definition - Define which anomalies to monitor on which data channels. A single
definition can be used with multiple test data sets.
• Anomaly detection - Perform a detection on one or more data sets given a previously
created anomaly definition.
• Anomaly display - Display the details of the detected anomalies, either graphically or in
a tabular form.
These three parts are provided as three separate programs, ANDEFINE, ANDETECT
and ANMULEDT.