This chapter briefly introduces the evolution of financial fraud detection methods from traditional statistical regression through conventional machine learning algorithms to ensemble learning and deep learning algorithms, focusing on mathematical principles, implementation coding and applications comparison.

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Detection Models and Applications

  • Xiyuan Ma,
  • Desheng Wu

摘要

This chapter briefly introduces the evolution of financial fraud detection methods from traditional statistical regression through conventional machine learning algorithms to ensemble learning and deep learning algorithms, focusing on mathematical principles, implementation coding and applications comparison.