Solving Financial Fraud Detection with Machine Learning Methods


For decades, financial organizations used rule-based monitoring systems for fraud detection.

These legacy solutions were deployed in SQL or C/C++. They were attempts of the engineers to transfer the knowledge of domain experts into sequel queries, which would typically end up being long, convoluted, and extremely brittle.

And whenever they tried to change parts of these fraud detection systems later, to update a threshold or something, it led to the breaking of the entire codebase.

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Created by Galyna 1 year 22 weeks ago – Made popular 1 year 22 weeks ago
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