Almeida Leite, R., Gschwandtner, T., Miksch, S., Gstrein, E., & Kuntner, J. (2018). Network Analysis for Financial Fraud Detection. In A. Puig & R. Raidou (Eds.), Proceedings of Eurographics Conference on Visualization (EuroVis 2018) (p. 3). Eurographics / VGTC. https://doi.org/10.2312/eurp.20181120
Proceedings of Eurographics Conference on Visualization (EuroVis 2018)
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ISBN:
978-3-03868-065-9
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Date (published):
2018
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Event name:
Eurographics Conference on Visualization (EuroVis 2018)
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Event date:
4-Jun-2018 - 8-Jun-2018
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Event place:
Brno, Czech Republic, EU
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Number of Pages:
3
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Publisher:
Eurographics / VGTC
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Publisher:
The Eurographics Association
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Peer reviewed:
Yes
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Keywords:
Information Visualization; Visual Analytics; Time Series Data; Business and Finance Visualization; Categories and Subject Descriptors (according to ACM CCS): Human-Centered Computing; Financial Fraud Detection; Financial Fraud Analysis
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Abstract:
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.
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Research Areas:
Visual Computing and Human-Centered Technology: 60% Information Systems Engineering: 40%
