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DATA ANALYSIS METHOD AND APPARATUS, AND COMPUTER SYSTEM AND READABLE STORAGE MEDIUM

机译:数据分析方法和装置,以及计算机系统和可读存储介质

摘要

Disclosed are a data analysis method and apparatus, and a computer system and a readable storage medium, which are based on the field of big data. The method comprises: creating a directed graph used for describing an association relationship and an asset relationship between nodes, and calculating a risk conduction coefficient of each path in the directed graph by means of an infectious disease model, so as to obtain a scale-free model; identifying an infection node in the scale-free model, and calculating the risk conductivity of each path in the scale-free model according to the infection node in combination with the risk conduction coefficient, so as to obtain a risk infection model; and extracting a node in the risk infection model according to a node request sent by a user end, taking the node as a target node, and calculating the risk conductivity of the target node in an incoming direction and the risk conductivity thereof in an outgoing direction, so as to obtain an incoming risk rate and an outgoing risk rate. According to the present application, the technical effects of deep mining of information in a knowledge graph and providing deep and valuable information are achieved.
机译:公开了一种数据分析方法和装置,以及计算机系统和可读存储介质,其基于大数据的领域。该方法包括:创建用于描述节点之间的关联关系和资产关系的定向图,并通过传染病模型计算定向图中的每种路径的风险传导系数,从而获得无垢的图模型;在无垢模型中识别感染节点,并根据感染节点与风险传导系数组合地计算无垢模型中的每种路径的风险导电性,从而获得风险感染模型;并根据用户端发送的节点请求提取风险感染模型中的节点,将节点作为目标节点,并在输出方向上计算目标节点的风险导电性以及在外向的方向上的风险导电性,以获得进入的风险率和传出风险率。根据本申请,实现了知识图中信息的深度挖掘和提供深刻和有价值信息的技术效果。

著录项

  • 公开/公告号WO2021174693A1

    专利类型

  • 公开/公告日2021-09-10

    原文格式PDF

  • 申请/专利权人 PING AN TECHNOLOGY (SHENZHEN) CO. LTD.;

    申请/专利号WO2020CN93201

  • 发明设计人 DUAN HONGYUN;WANG WEI;PENG CHEN;

    申请日2020-05-29

  • 分类号G06Q10/06;G06F16/901;G06F16/906;G06F16/36;

  • 国家 CN

  • 入库时间 2022-08-24 20:59:25

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