Outstanding Outliers: Why You Should Care About Anomalies

Anomaly detection is the process of identifying unexpected items or events in data sets, which differ from the norm. Anomaly detection identifies data points, events, and/or observations that deviate from a dataset’s normal behaviour. Anomalous data can indicate critical incidents, such as a technical glitch or a major financial event. For example, the 1929 Wall Street crash was an anomalous…