Abstract | ||
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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. |
Year | DOI | Venue |
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2015 | 10.1109/VAST.2015.7347678 | 2015 IEEE Conference on Visual Analytics Science and Technology (VAST) |
Keywords | DocType | Citations |
Visual Knowledge Discovery,Time Series Data,Business and Finance Visualization | Conference | 0 |
PageRank | References | Authors |
0.34 | 1 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Roger A. Leite | 1 | 19 | 4.67 |
Theresia Gschwandtner | 2 | 171 | 17.43 |
Silvia Miksch | 3 | 2212 | 174.85 |
Erich Gstrein | 4 | 0 | 1.35 |
Johannes Kuntner | 5 | 2 | 1.38 |