Fraud Detection with Graph Processing
Experts: Kamer Kaya, Öznur Taştan, Ahmet Demirelli
Yapı Kredi Teknoloji aims to use machine learning (ML) to detect fraudulent bank transactions. The goal is to provide the business unit with better predictions, reduce human effort, and increase the detection rate of accounts participating in fraudulent transactions. High-performance computing (HPC) capability is critical for effective experimentation and to build models based on graphs. NCC Turkey provides ML expertise and also resources from the national HPC infrastructure TRUBA for this case study.
Please click here to view the results of the case study carried out with Yapıkredi.
