Corpus ID: 53786597

Computer-Assisted Fraud Detection, From Active Learning to Reward Maximization

@article{Marfaing2018ComputerAssistedFD,
  title={Computer-Assisted Fraud Detection, From Active Learning to Reward Maximization},
  author={Christelle Marfaing and A. Garcia},
  journal={ArXiv},
  year={2018},
  volume={abs/1811.08212}
}
  • Christelle Marfaing, A. Garcia
  • Published 2018
  • Computer Science, Mathematics
  • ArXiv
  • The automatic detection of frauds in banking transactions has been recently studied as a way to help the analysts finding fraudulent operations. Due to the availability of a human feedback, this task has been studied in the framework of active learning: the fraud predictor is allowed to sequentially call on an oracle. This human intervention is used to label new examples and improve the classification accuracy of the latter. Such a setting is not adapted in the case of fraud detection with… CONTINUE READING
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