Abstract
This paper explains how the traditional anomaly detection techniques lack in exploring various aspects and perspectives of data analysis and lacks in understanding the nature of anomalies. This paper explains the importance and need of developing anomaly detection techniques considering the domain knowledge of the field where the anomaly detection technique is to be applied. Here we have considered the notion of causality(Granger's Causality[10]) in data to perform anomaly detection. This paper states some examples supporting the need of domain specific anomaly detection techniques. It also explains a few aspects which have not been considered in anomaly detection techniques till date.
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