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PROSPECTIVE DATA-DRIVEN SELF-ADAPTIVE SYSTEM FOR SECURING DIGITAL TRANSACTIONS OVER A NETWORK WITH INCOMPLETE INFORMATION
PROSPECTIVE DATA-DRIVEN SELF-ADAPTIVE SYSTEM FOR SECURING DIGITAL TRANSACTIONS OVER A NETWORK WITH INCOMPLETE INFORMATION
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机译:潜在数据驱动的自适应系统,用于通过不完整信息保护数字事务的数字事务
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摘要
A system is described herein for managing digital transactions over a network with incomplete information. The system includes a data collection component and a transaction control component that may employ a prospective control model that is trained with fully matured data as well as partially matured data regarding past digital transactions. The transaction control component is configured to estimate an inauthentic rate of inauthentic digital transactions being wrongly approved for a current time period. A set of future reference values may be determined based on the estimated inauthentic rate. The set of future reference values relate to a predicted future decision made for the digital transaction. A set of current values may be determined based on the set of future reference values. Based on the set of current values, the transaction control component may determine whether the digital transaction should be rejected as inauthentic or approved as authentic.
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