Network Analysis for Financial Fraud Detection

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Date
2018
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
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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@inproceedings{
10.2312:eurp.20181120
, booktitle = {
EuroVis 2018 - Posters
}, editor = {
Anna Puig and Renata Raidou
}, title = {{
Network Analysis for Financial Fraud Detection
}}, author = {
Leite, Roger A.
and
Gschwandtner, Theresia
and
Miksch, Silvia
and
Gstrein, Erich
and
Kuntner, Johannes
}, year = {
2018
}, publisher = {
The Eurographics Association
}, ISBN = {
978-3-03868-065-9
}, DOI = {
10.2312/eurp.20181120
} }
Citation