However, initial results for this approach proved the base rate fallacy: essentially outlining that our initial assumption for the random detection still being able to detect the anomalies is false.
Therefore, this paper proposes the approach of constructing dynamic neighbourhoods to detect the anomalies in spatio-temporal flow data (called spatio-temporal flow anomalies).
Among the existing approaches adopted to diagnose the energy systems, Thermoeconomic diagnosis provides useful information to detect the anomalies and to quantify its negative impacts.
Network measurement has been playing a crucial role in network operations, since it cannot only detect the anomalies, but also facilitate traffic engineering.
Finally, the application of anomaly detection is compared with one of the popular methods called Support Vector Machine (SVM) to investigate the sensitivity and accuracy of this approach and its ability to detect the anomalies in early stages.
This paper provides an overview of recent progress on mechanisms of metal dispersion from the buried ore deposits through the transported cover to the surface and penetrating geochemical methods to detect the anomalies.
Thus, if abnormal traffic has been detected, the anomaly information will be reported and an alarm generated.
Another similar community-based method detects the anomaly by checking whether the presence of a user in a community will decrease the cohesion of community [25].
We detected the anomalies preoperatively by 3D-CT.
Detecting the anomalies timely in the condition monitoring data, which are highly relevant to the potential system faults, has become a research focus in many domains.
