What is 'Anomaly Detection'?

What is 'Anomaly Detection'?

Approach: Describe identifying rare items or events which differ significantly from the majority of the data.

The identification of rare items, events, or observations which raise suspicions by differing significantly from the majority of the data. Applications include fraud detection and system health monitoring.

Follow-up: Name an algorithm for this (e.g., Isolation Forest).

Key concepts: outliers, fraud detection, unsupervised.