Mini toolsDefinition
The identification of rare items events or observations that differ significantly from the majority of the data.
Detailed Explanation
Anomaly detection uses statistical and machine learning techniques to identify outliers or unusual patterns. Methods include statistical tests density-based approaches and machine learning models trained to recognize normal versus abnormal patterns.
Use Cases
1. Fraud detection 2. System health monitoring 3. Quality control 4. Network security
