Tag Archives: Anomaly detection

Detecting anomalies or outlier is about making hypotheis about the normal (aka usual) bahviour. This assumption is called the base hypothsis (H0) e.g. the given data elements are normal distributed. The respective significance level is rejecting or accepting the H0. … Continue reading →