公开(公告)号：WO2016070096A1

公开(公告)日：2016-05-06

申请号：PCT/US2015/058403

申请日：2015-10-30

Applicant: SAS INSTITUTE INC.

Inventor： DIEV, Vesselin ,  DUKE, Brian Lee

IPC: G06N5/04

CPC classification number: G06N3/0481 ,  G06N3/02 ,  G06N3/08 ,  G06N5/045 ,  H04L67/10

Abstract: A computer system computes a score for a received data exchange and, in accordance with a neural network and input variables determined by received current exchange and history data, the computed score indicates a condition suitable for a denial. A set of attribution scores are computed using an Alternating Decision Tree model in response to a computed score that is greater than a predetermined score threshold value for the denial. The computed score is provided to an assessment unit and, if the computed score indicates a condition suitable for the denial and if attribution scores are computed, then a predetermined number of input variable categories from a rank-ordered list of input variable categories is also provided to the assessment unit of the computer system.

Abstract translation: 计算机系统计算接收到的数据交换的分数，并且根据由所接收的当前交换和历史数据确定的神经网络和输入变量，所计算的分数表示适合拒绝的条件。 使用交替决策树模型响应于大于拒绝的预定分数阈值的计算得分计算一组归因分数。 将计算得分提供给评估单元，并且如果所计算的分数指示适合拒绝的条件并且如果归因分数被计算，则还提供来自输入变量类别的排序列表的预定数量的输入变量类别 到计算机系统的评估单位。