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Overview:

According to a Government of Canada report, the Canadian banking industry estimates that losses from mortgage fraud range into the hundreds of millions of dollars annually. The challenge was that Royal Bank of Canada (RBC) wanted a way to reduce losses by detecting fraudulent mortgages, loans and credit lines before they cost the bank money. RBC deployed SAS 9.2 and SAS/STAT, RBC that was built and validated a decision tree model to deliver suites of fraud rules that target fraudulent credit applications.

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Format:PDF
Date:Jun 2009

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