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    • 9. 发明授权
    • Financial risk prediction systems and methods therefor
    • 财务风险预测系统及其方法
    • US06658393B1
    • 2003-12-02
    • US09397160
    • 1999-09-15
    • Catherine A. BaschBelva J. BruesewitzKevin SiegelPatrick Faith
    • Catherine A. BaschBelva J. BruesewitzKevin SiegelPatrick Faith
    • G06F1760
    • G07F7/1008G06Q20/341G06Q20/40G06Q20/40145G06Q20/4016G06Q20/403G06Q20/4037G06Q40/00G06Q40/025G06Q40/08G07F7/08
    • A method for predicting financial risk is disclosed. The method includes receiving data inputs on a first computing system. The data inputs includes historical data associated with at least a first account issued to an account owner, and the historical data includes historical transaction information for the first account. The method also includes generating a predictive model based on at least the historical data, receiving a current transaction authorization request associated with the first account on the first computing system, and generating a risk score by applying the predictive model to data associated with the current transaction authorization request. The current transaction authorization request is denied when the risk score indicates an unacceptable level of risk. In one embodiment, the data inputs further include performance data that is at least partially indicative of past fraudulent activities associated with the first account and at least one other account held by the account owner.
    • 披露了一种预测金融风险的方法。 该方法包括在第一计算系统上接收数据输入。 数据输入包括与至少向帐户所有者发行的第一帐户相关联的历史数据,历史数据包括第一帐户的历史交易信息。 该方法还包括基于至少历史数据生成预测模型,接收与第一计算系统上的第一帐户相关联的当前交易授权请求,以及通过将预测模型应用于与当前交易相关联的数据来生成风险分数 授权请求。 当风险分数表示不可接受的风险水平时,当前交易授权请求被拒绝。 在一个实施例中,数据输入还包括性能数据,该性能数据至少部分地指示与第一帐户相关联的过去欺诈活动以及帐户所有者持有的至少一个其他帐户。