Practical and organizational aspects of machine learning for fraud detection in e-commerce

I would like to share our paper, in which we describe the organizational aspects of an anti-fraud department in e-commerce. We discuss the implications that these organizational aspects have on machine learning applications for fraud detections in e-commerce. Finally, we discuss the state of the machine learning literature, and link this to practice.

I am one of the authors of this paper. This paper was written by the machine learning community of's anti-fraud department. If you have experience in fraud detection in e-commerce, we would love to get in touch, would love to to hear whether your experiences are aligned with our practical experience as we wrote it down in the paper (if not, we would love to hear that as well)!

Link to paper:

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