Talks and Poster Presentations (with Proceedings-Entry):
R. Leite, T. Gschwandtner, S. Miksch, E. Gstrein, J. Kuntner:
"Visual Analytics for Fraud Detection: Focusing on Profile Analysis";
Poster: Eurographics Conference on Visualization (EuroVis 2016),
- 2016-06-10; in: "Poster proceedings of Eurographics Conference on Visualization (EuroVis 2016)",
T. Isenberg, F. Sadlo (ed.);
Financial institutions are always interested in ensuring security and quality for their customers. Banks, for instance, need to
identify and avoid harmful transactions. In order to detect fraudulent operations, data mining techniques based on customer
profile generation and verification are commonly used. However, these approaches are not supported by Visual Analytics techniques
yet. We propose a Visual Analytics approach for supporting and fine-tuning profile analysis and reducing false positive
Visual Knowledge Discovery, Time Series Data, Business and Finance Visualization, Financial Fraud Detection.
Electronic version of the publication:
Created from the Publication Database of the Vienna University of Technology.