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    • 2. 发明授权
    • Risk assessment rule set application for fraud prevention
    • 风险评估规则设定防欺诈申请
    • US08924279B2
    • 2014-12-30
    • US12774521
    • 2010-05-05
    • Frederick LiuNancy HilgersMark NelsenKevin SiegelChristopher BrownThomas Dwyer
    • Frederick LiuNancy HilgersMark NelsenKevin SiegelChristopher BrownThomas Dwyer
    • G06Q40/00
    • G06Q20/4016G06Q20/40G06Q20/405
    • Rules, applied to deny authorization of likely fraudulent transactions, are derived from a modified Patient Rule Induction Method algorithm that uses a target variable and a data set of past transactions each associated with a plurality of input variables and a hyper-rectangle enclosing a multi-dimensional space defined by a representation of the input variable values as points within the multi-dimensional space. While a count of the points within the hyper-rectangle is greater than a minimum support parameter, a first plurality of points proximal to edges of the hyper-rectangle are removed, where each such removing maximizes a mean value of the target variable, and then, while the mean value remains maximized, a second plurality of points proximal to the edges is added, where each adding maximizes or maintains the mean value. The hyper-rectangle is bounded within a minimum bounding box that defines the rules.
    • 应用于拒绝对可能的欺诈交易的授权的规则来自修改的患者规则诱导方法算法,该算法使用目标变量和与多个输入变量相关联的过去交易的数据集,以及包围多个输入变量的超矩形, 由输入变量值的表示定义的多维空间作为多维空间内的点。 虽然超矩形内的点的计数大于最小支持参数,但是去除超矩形边缘附近的第一多个点,其中每个这样的移除最大化目标变量的平均值,然后 当平均值保持最大时,添加靠近边缘的第二多个点,其中每个添加最大化或维持平均值。 超矩形在定义规则的最小边界框内是有界的。
    • 3. 发明申请
    • RISK ASSESSMENT RULE SET APPLICATION FOR FRAUD PREVENTION
    • 风险评估规则申请预防欺诈
    • US20100287099A1
    • 2010-11-11
    • US12774521
    • 2010-05-05
    • Frederick LiuNancy HilgersMark NelsenKevin SiegelChristopher BrownThomas Dwyer
    • Frederick LiuNancy HilgersMark NelsenKevin SiegelChristopher BrownThomas Dwyer
    • G06Q40/00
    • G06Q20/4016G06Q20/40G06Q20/405
    • Rules, applied to deny authorization of likely fraudulent transactions, are derived from a modified Patient Rule Induction Method algorithm that uses a target variable and a data set of past transactions each associated with a plurality of input variables and a hyper-rectangle enclosing a multi-dimensional space defined by a representation of the input variable values as points within the multi-dimensional space. While a count of the points within the hyper-rectangle is greater than a minimum support parameter, a first plurality of points proximal to edges of the hyper-rectangle are removed, where each such removing maximizes a mean value of the target variable, and then, while the mean value remains maximized, a second plurality of points proximal to the edges is added, where each adding maximizes or maintains the mean value. The hyper-rectangle is bounded within a minimum bounding box that defines the rules.
    • 应用于拒绝对可能的欺诈交易的授权的规则来自修改的患者规则诱导方法算法,该算法使用目标变量和与多个输入变量相关联的过去交易的数据集,以及包围多个输入变量的超矩形, 由输入变量值的表示定义的多维空间作为多维空间内的点。 虽然超矩形内的点的计数大于最小支持参数,但是去除超矩形边缘附近的第一多个点,其中每个这样的移除最大化目标变量的平均值,然后 当平均值保持最大时,添加靠近边缘的第二多个点,其中每个添加最大化或维持平均值。 超矩形在定义规则的最小边界框内是有界的。