Visual Analytics for Fraud Detection and Monitoring

TitleVisual Analytics for Fraud Detection and Monitoring
Publication TypeConference Paper
Year of Publication2015
AuthorsLeite, R. A., T. Gschwandtner, S. Miksch, E. Gstrein, and J. Kuntner
EditorsYang, J., E. Bertini, N. Elmqvist, T. Dwyer, X. Yuan, and H. Carr
Conference NamePoster Proceedings of the IEEE Visualization Conference 2015
Conference LocationChicago, USA
KeywordsBusiness and Finance Visualization, Time Series Data, visual knowledge discovery
Abstract

One of the primary concerns of financial institutions is to guarantee security and legitimacy in their services. Being able to detect and avoid fraudulent schemes also enhances the credibility of these institutions. Currently, fraud detection approaches still lack Visual Analytics techniques. We propose a Visual Analytics process that tackles the main challenges in the area of fraud detection.

Notes

Posterpräsentation: IEEE VIS 2015, Chicago, USA; 2015-10-25 – 2015-10-30

URLhttp://publik.tuwien.ac.at/files/PubDat_246900.pdf
Internal projects: 
Science of Interaction
Funding projects: 
CVAST