Print Email Facebook Twitter Automated Transaction Monitoring Title Automated Transaction Monitoring Author Kostense, Bastijn (TU Delft Electrical Engineering, Mathematics and Computer Science) Hageman, Rico (TU Delft Electrical Engineering, Mathematics and Computer Science) van der Wilk, Hilco (TU Delft Electrical Engineering, Mathematics and Computer Science) van Walraven, Bram (TU Delft Electrical Engineering, Mathematics and Computer Science) Contributor van den Oever, Sander (mentor) Visser, Otto (graduation committee) Wang, Huijuan (graduation committee) Degree granting institution Delft University of Technology Date 2019-07-03 Abstract For the past 10 weeks, we have been tasked with improving the performance of the transaction monitoring system of bunq, an internationally active mobile bank. bunq has requested that we improve this system by automating the training of the machine learning model, providing better input data for this model and creating additional machine learning models. During this project, we have been working at the offices of bunq on this system. This thesis will give an overview of our research, software design process and implementation. Subject Transaction MonitoringFraudMachine Learning To reference this document use: http://resolver.tudelft.nl/uuid:1c523b11-c220-43da-b4c2-a712d6fee8d4 Part of collection Student theses Document type bachelor thesis Rights © 2019 Bastijn Kostense, Rico Hageman, Hilco van der Wilk, Bram van Walraven Files PDF report_censored.pdf 845.22 KB Close viewer /islandora/object/uuid:1c523b11-c220-43da-b4c2-a712d6fee8d4/datastream/OBJ/view