Bringing sequential feature explanations to life

In many real world applications, human analysts are not only interested in the detected anomalies but are also interested in the reasons behind why they were flagged as anomalous. However, existing anomaly detectors provide the analysts with no information about what caused the anomalies. A sequential feature explanation(SFE) of a detected data point is an… CONTINUE READING