Name
Abstract | ||
|---|---|---|
Financial institutions are interested in ensuring security and quality for their customers. Banks, for instance, need to identify and stop harmful transactions in a timely manner. In order to detect fraudulent operations, data mining techniques and customer profile analysis are commonly used. However, these approaches are not supported by Visual Analytics techniques yet. Visual Analytics technique... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TVCG.2017.2744758 | IEEE Transactions on Visualization and Computer Graphics |
Keywords | Field | DocType |
Data visualization,Complexity theory,Visual analytics,Data mining,Event detection | Data science,Data visualization,Financial fraud,Profile analysis,Computer science,Visual analytics,Theoretical computer science,Knowledge extraction | Journal |
Volume | Issue | ISSN |
24 | 1 | 1077-2626 |
Citations | PageRank | References |
6 | 0.39 | 13 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Roger A. Leite | 1 | 19 | 4.67 |
| Theresia Gschwandtner | 2 | 171 | 17.43 |
| Silvia Miksch | 3 | 2212 | 174.85 |
| Simone Kriglstein | 4 | 177 | 28.55 |
| Margit Pohl | 5 | 204 | 24.42 |
| Erich Gstrein | 6 | 8 | 0.75 |
| Johannes Kuntner | 7 | 6 | 0.73 |