Talks and Poster Presentations (with Proceedings-Entry):
R. Leite, T. Gschwandtner, S. Miksch, E. Gstrein, J. Kuntner:
"Network Analysis for Financial Fraud Detection";
Poster: Eurographics Conference on Visualization (EuroVis 2018),
Brno, Czech Republic;
- 2018-06-08; in: "Proceedings of Eurographics Conference on Visualization (EuroVis 2018)",
Eurographics / VGTC,
Security and quality are main concerns for private and public financial institutions. Data mining techniques based on the profiles of customers of a financial institution are commonly used to avoid fraud and financial damage. However, these approaches often are limited to the analysis of individual customers which hinders the detection of fraudulent networks. We propose a Visual Analytics approach for supporting and fine-tuning customers' network analysis, thus, reducing false-negative alarms of frauds.
Categories and Subject Descriptors (according to ACM CCS): Human-Centered Computing, Visual Analytics, Information Visualization, Time Series Data, Business and Finance Visualization, Financial Fraud Detection, Financial Fraud Analysis
"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)
Electronic version of the publication:
Created from the Publication Database of the Vienna University of Technology.