Data engineering for fraud detection

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

Image courtesy of interviewee

Leave a Reply

Your email address will not be published.

×
Guest visitors to the Faculti website can view any insight monthly. You have insight(s) remaining for this month

Register for free as an individual and view thousands of insights in our archive today or subscribe for subject access.

You may already have institutional access to Faculti. Please access Faculti using your institution credentials.

Copyright © Faculti Media Limited 2022. All rights reserved.
Recommend Faculti to your librarian

error:

Add the Faculti Web App to your Mobile or Desktop homescreen

Install
×