SCORING TRANSACTIONAL FRAUD USING FEATURES OF TRANSACTION PAYMENT RELATIONSHIP GRAPHS
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United States of America Patent
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Issued Date -
Dec 15, 2016
app pub date -
Sep 23, 2015
filing date -
Jun 9, 2015
priority date (Note) -
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Abstract
Identifying fraudulent transactions is provided. Transactions data corresponding to a plurality of transactions between accounts are obtained from one or more different transaction channels. At least one graph of transaction payment relationships between the accounts is generated from the transaction data. Features are extracted from the at least one graph of transaction payment relationships between the accounts. A fraud score for a current transaction is generated based on the extracted features from the at least one graph of transaction payment relationships between the accounts.
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