Tim Verdonck

Thematic seminars
big data and econometrics seminar

Tim Verdonck

KU Leuven
Fraud detection using analytics
Cancelled
Venue

IBD Salle 21

Îlot Bernard du Bois - Salle 21

AMU - AMSE
5-9 boulevard Maurice Bourdet
13001 Marseille

Date(s)
Tuesday, April 28 2020| 2:00pm to 3:15pm
Contact(s)

Ewen Gallic: ewen.gallic[at]univ-amu.fr
Pierre Michel: pierre.michel[at]univ-amu.fr

Abstract

Financial institutions increasingly rely on predictive machine learning models to detect fraudulent transactions. Two main challenges when building a supervised tool for fraud detection are the imbalance or skewness of the data and the various costs for different types of misclassification. We discuss techniques to solve the imbalance issue and present a cost-sensitive logistic regression algorithm.