Anomaly Detection

This process involves establishing a baseline of what is considered typical within a dataset. Once this baseline is defined, algorithms or statistical methods can be applied to flag any observations that fall outside these established norms. These deviations are considered anomalies.

For instance, a sudden spike in website traffic at an unusual hour might be flagged as an anomaly.

This technique is frequently employed in areas such as cybersecurity for identifying malicious activity, in financial services for detecting fraudulent transactions, and in manufacturing for spotting equipment malfunctions.