Data engineering for fraud detection
Bart Baesens
KU Leuven
Financial institutions increasingly rely upon data-driven methods for developing fraud detection systems. Bart Baesens discusses the performance of data engineering steps for popular analytical models on a real payment transactions data set. Read the Study
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