Fakultäten » Wirtschaftswissenschaftliche Fakultät » Informatik, Institut für » Prof. Dr. Abraham Bernstein » Bernstein
| Title / Titel | Analytical Fraud Detection | ||
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| Abstract (PDF, 14 KB) | |||
| Summary / Zusammenfassung | The goal of this project is to survey data mining methods to detect traces of suspicious acts in financial institutes. More precisely, we try to detect fraud in collaboration with a bank. The relational nature of transactions justifies the use of relational data mining methods. As positive training examples are not at hand, a system is currently built that allows fraud experts to visualize transaction data in various ways and to find and annotate suspicious transaction patterns using their implicit and longtime know-how. Those transaction patterns will provide a basis for research. The most promising approaches will be built into the system and search for “hot spots”, which are then delivered to human experts for closer investigations. Weitere Informationen |
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| Keywords / Suchbegriffe | machine learning, fraud, automatic detection | ||
| Project leadership and contacts / Projektleitung und Kontakte |
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| Funding source(s) / Unterstützt durch |
Private Sector (e.g. Industry) |
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| Duration of Project / Projektdauer | Jan 2005 to Jan 2010 |