Advisor

Tackling Fraud with Analytics: An Interview with Bart Baesens

Posted August 11, 2015 | Technology |

This interview with Bart Baesens takes a quick look at some of the issues covered in his new book "Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques: A Guide to Data Science for Fraud Detection," written with Véronique Van Vlasselaer and Wouter Verbeke. 

About The Author
Bart Baesens
Bart Baesens is a professor of Big Data and Analytics at KU Leuven (Belgium) and a lecturer at the University of Southampton (UK). He has done extensive research on big data and analytics, credit risk modeling, fraud detection, and marketing analytics. He has written more than 200 scientific papers, some of which have been published in well-known international journals (e.g., MIS Quarterly, Machine Learning, Management Science, MIT Sloan… Read More
Don’t have a login? Make one! It’s free and gives you access to all Cutter research.