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ARTIFICIAL INTELLIGENCE FRAUD MANAGEMENT SOLUTION

机译:人工智能欺诈管理解决方案

摘要

An artificial intelligence fraud management solution comprises an expert programmer development system to build trainable general payment fraud models that integrate several artificial intelligence classifiers like neural networks, case based reasoning, decision trees, genetic algorithms, fuzzy logic, and rules and constraints. These are further integrated by the expert programmers and development system with smart agents and associated real-time profiling, recursive profiles, and long-term profiles. The trainable general payment fraud models are trained with supervised and unsupervised data to produce an applied payment fraud model. This then is applied by a commercial client to process real-time transactions and authorization requests for fraud scores.
机译:人工智能欺诈管理解决方案包括一个专家程序员开发系统,用于构建可训练的通用支付欺诈模型,该模型集成了多个人工智能分类器,例如神经网络,基于案例的推理,决策树,遗传算法,模糊逻辑以及规则和约束。这些由专家程序员和开发系统与智能代理以及相关的实时配置文件,递归配置文件和长期配置文件进一步集成。使用可监督的和不可监督的数据对可训练的通用支付欺诈模型进行训练,以产生应用的支付欺诈模型。然后,商业客户将其应用于处理实时交易和欺诈分数的授权请求。

著录项

  • 公开/公告号US2019066112A1

    专利类型

  • 公开/公告日2019-02-28

    原文格式PDF

  • 申请/专利权人 BRIGHTERION INC.;

    申请/专利号US201816168566

  • 发明设计人 AKLI ADJAOUTE;

    申请日2018-10-23

  • 分类号G06Q20/40;G06Q40/02;G06Q10/06;

  • 国家 US

  • 入库时间 2022-08-21 12:05:13

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