Fraud Detection With SAS Data Mining

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Executive Summary

Fraud is a significant problem in many industries, such as banking, insurance, telecommunication, and public service. Detecting and preventing fraud is difficult, because fraudsters develop new schemes all the time, and the schemes grow more and more sophisticated to elude easy detection. Many organizations have implemented fraud detection and prevention systems based on SAS data mining to help them stay ahead of the fraudsters and avoid losing money. This presentation will provide an overview of different data mining techniques that have proven successful in detecting different types of fraud. Using case studies, successful implementations in different industries will be described.

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