Tim Verdonck

big data and econometrics seminar

Tim Verdonck

KU Leuven
Fraud detection using analytics
Événement annulé
Lieu

IBD Salle 21

Îlot Bernard du Bois - Salle 21

AMU - AMSE
5-9 boulevard Maurice Bourdet
13001 Marseille

Date(s)
Mardi 28 avril 2020| 14:00 - 15:15
Contact(s)

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

Résumé

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.