This paper consists of a two-tier architecture model for financial crime detection. In the first stage the financial transaction is verified against the rule-based system and is given risk score by the system. These rules contain the human insight. And then this transaction is passed to second stage of data mining technique, which will learn from the past experience of fraudulent transactions and then decide about the current transaction.
http://en.oboulo.com/data-mining-in-financial-crime-detection-65020.html
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