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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