Risk determination and management using predictive modeling and transaction profiles for individual transacting entities
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United States of America Patent
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Dec 11, 2001
Issued Date -
N/A
app pub date -
Oct 5, 1998
filing date -
Sep 8, 1992
priority date (Note) -
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Abstract
An automated system and method detects fraudulent transactions using a predictive model such as a neural network to evaluate individual customer accounts and identify potentially fraudulent transactions based on learned relationships among known variables. The system may also output reason codes indicating relative contributions of various variables to a particular result. The system periodically monitors its performance and redevelops the model when performance drops below a predetermined level.
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