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fraud_detection's Introduction

Fraud Detection Modules and Case Samples

Fraud costs the world about 5% revenue per a year. Different industries are exposed to fraud at various levels, but nobody is immune. Thankfully, through the application of statistical analysis we are able to detect fraud cases.

  • Profiling
  • Data mining
  • Geolocation software
  • Neural networks
  • Artificial intelligence
  • Patterns
  • Data clustering
  • Statistics
  • Labelling
  • Decision tree learning
  • Regression analysis
  • Synthetic data
  • Benford's law
  • Beneish M-Score
  • References

fraud_detection's People

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