| 发明名称 |
SCORING TRANSACTIONAL FRAUD USING FEATURES OF TRANSACTION PAYMENT RELATIONSHIP GRAPHS |
| 摘要 |
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. |
| 申请公布号 |
US2016364794(A1) |
申请公布日期 |
2016.12.15 |
| 申请号 |
US201514862656 |
申请日期 |
2015.09.23 |
| 申请人 |
International Business Machines Corporation ;ABN AMRO Bank, N.V. |
发明人 |
Chari Suresh N.;Habeck Ted A.;Jonker Coenraad Jan;Jördens Frank;Molloy Ian M.;Park Youngja;van Schaik Cornelis;Wiggerman Mark Edwin |
| 分类号 |
G06Q40/02 |
主分类号 |
G06Q40/02 |
| 代理机构 |
|
代理人 |
|
| 主权项 |
1. A computer-implemented method for identifying fraudulent transactions, the computer-implemented method comprising:
obtaining, by a data processing system, transactions data corresponding to a plurality of transactions between accounts from one or more different transaction channels; generating, by the data processing system, at least one graph of transaction payment relationships between the accounts from the transaction data; extracting, by the data processing system, features from the at least one graph of transaction payment relationships between the accounts; and generating, by the data processing system, a fraud score for a current transaction based on the extracted features from the at least one graph of transaction payment relationships between the accounts. |
| 地址 |
Armonk NY US |
