AI Approaches to Fraud Detection and Risk Management
Fawcett, Tom, Haimowitz, Ira, Provost, Foster, Stolfo, Salvatore
A false negative means that fraud, bad credit, or intrusion passes unnoticed, with potential loss of revenue or security. This workshop focused primarily papers, 10 of which were selected for with the Fourteenth National on what might loosely be termed presentation at the workshop. These Conference on Artificial Intelligence "improper behavior," which includes 10 papers were grouped into 3 categories. However, Glasgow applying classification techniques to were over 50 attendees, with a balanced does discuss the estimation of "inherent fraud and risk problems, including the mix of university and industry risk," which is the bread and butter use of clustering techniques to generate researchers. We sought participants data, highly skewed distributions ("improper Columbia University, and Phillip Chan to discuss and explore common behavior" occurs far less frequently of Florida Institute of Technology).
Jun-15-1998
- Country:
- North America > United States > California (0.15)
- Genre:
- Collection (0.50)
- Industry:
- Banking & Finance (1.00)
- Information Technology > Security & Privacy (0.88)
- Law Enforcement & Public Safety > Fraud (1.00)
- Technology: