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Self-learning is a process by which the Detectors learn by themselves to select optimal parameters as a threshold to minimize false (positive and Negative) alarms. Self-learning runs in the background and does not affect the EDS monitoring process.
Reports are a tool for the manager to estimate the performance of the system. Reports may indicate increasing unclassified events. Noise data. Fixed value measurements or suggestions to set up detectors.
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