Outlier Detection
Outlier Detection is a solution for identifying anomalous data points, patterns, or behaviors that deviate significantly from the expected norm.
Key Capabilities Used
Features
- Anomaly detection
- Statistical analysis
- Behavioral profiling
- Threshold monitoring
- Pattern deviation
Use Cases
- Fraud detection
- Network security
- Quality control
- Sensor monitoring
- Performance anomalies
Technologies
- Statistical methods
- Isolation forests
- Autoencoders
- One-class SVM
- Density estimation