Skyline use the most appropriate state of the art algorithms for real time
anomaly detection.
Uses multi stage analysis and filtering to allow for the use of more time complex
algorithms to be applied in the real time domain.
Puts the user in control of false positive detections by allowing for
simple user input to provide explainable ML methods with training data which
massively reduce false positive detections and provides the system with data
to begin learning with.
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overview
Features