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DEVICE AND METHOD FOR INSURANCE UNFAIR CLAIM AND UNFAIR PATTERN DETECTION BASED ON ARTIFICIAL INTELLIGENCE

机译:基于人工智能的不正当索赔和不正当形态检测保险的装置和方法

摘要

According to an embodiment of the present invention, an apparatus for detecting a fraudulent insurance claim and a fraudulent pattern based on artificial intelligence includes: a data preprocessing part deriving property variables by standardizing insurance claim history data; an abnormal value detection part detecting a normal pattern and a fraudulent pattern from an abnormal group detected based on an abnormality detection algorithm into which the property variables are inputted; a new pattern classification part detecting a new pattern of a fraudulent claim by performing unsupervised learning into which the normal and fraudulent patterns are inputted; a new pattern detection part detecting a pattern of a new fraudulent claim by building a pattern determination model based on supervised learning into which the new pattern of the fraudulent claim and a pre-classified insurance claim pattern are inputted; and a fraudulent claim determination part determining whether a new insurance claim history is fraudulent by building a fraudulent claim detection model based on supervised learning into which the property variables and the normal claim data are inputted.
机译:根据本发明的实施例,一种用于基于人工智能检测欺诈保险索赔和欺诈模式的设备包括:数据预处理部分,其通过标准化保险索赔历史数据来推导属性变量;以及异常值检测部分从基于输入了属性变量的异常检测算法检测到的异常组中检测出正常模式和欺诈模式;新模式分类部分通过执行将常规模式和欺诈模式输入到其中的无监督学习来检测欺诈请求的新模式;新模式检测部分通过基于监督学习构建模式确定模型来检测新欺诈索赔的模式,在该监督学习中输入欺诈索赔的新模式和预先分类的保险索赔模式;欺诈性索赔确定部分通过基于监督学习来构建欺诈性索赔检测模型,从而确定新的保险索赔历史记录是否为欺诈性,将属性变量和正常索赔数据输入到监督学习中。

著录项

  • 公开/公告号KR20200010621A

    专利类型

  • 公开/公告日2020-01-31

    原文格式PDF

  • 申请/专利权人 WISEITECH CO. LTD.;

    申请/专利号KR20180070403

  • 发明设计人 KIM JI HYEOK;AN JAE HYEONG;

    申请日2018-06-19

  • 分类号G06Q10/10;G06N3/02;G06Q40/08;

  • 国家 KR

  • 入库时间 2022-08-21 11:08:00

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