Enhanced adaptive anomaly detection and root cause analysis by means of semantics and machine learning Ghent University
The sensor monitoring systems of today can detect anomalous behaviour & derive their underlying causes by either using expert-driven rules or by data-driven machine learning models. Expert-driven approaches require much human involvement to operate in environments providing the expert information on the fly. In contrast, data-driven approaches are more adaptive to specific changes but require large amounts of data to generalise well & ...