A method for artificially identifying financial anti-fraud based on a knowledge graph

A technology of artificial recognition and knowledge graph, which is applied in the field of financial anti-fraud based on artificial recognition of knowledge graph, can solve problems such as inability to visualize, and achieve the effect of convenient graph traversal, convenient insertion, and fast speed

Pending Publication Date: 2019-06-14
湖南衍金征信数据服务有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

The storage structure of these data is a graph structure, and there are certain proble

Method used

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  • A method for artificially identifying financial anti-fraud based on a knowledge graph
  • A method for artificially identifying financial anti-fraud based on a knowledge graph
  • A method for artificially identifying financial anti-fraud based on a knowledge graph

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[0028] Specific example, multiple loan prediction: For example, the directors of company A include director A and director B, company B is a wholly-owned subsidiary of company A, company B includes director A and director C, and director A has used the parent company A before Mortgage loans are made. At this time, special attention should be paid to the subsidiary's loans. The auditors will enter this rule into the system for matching, and the system will provide this graph to the auditors when querying the database of the graph. (see image 3 )

[0029] 1. Collect relevant company information websites.

[0030] 2. Collect information about senior executives and directors of relevant companies.

[0031] 3. Collect relevant information about the parent and subsidiary companies

[0032] 4. Clean relevant data.

[0033] 5. Format the relevant data to become the original structure of the graph data.

[0034] 6. Import the graph database Neo4j.

[0035] 7. Provide rule struct...

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Abstract

The invention relates to a method for artificially identifying financial anti-fraud based on a knowledge graph, which comprises the following steps of: establishing the knowledge graph by utilizing graphical processing of data, assisting finance, integrating data (structured and unstructured) of different sources together, and constructing an anti-fraud rule in a manual checking standard manner. The method has the advantages that data insertion is facilitated, query operation is visual, graph search and graph traversal are convenient, and the speed is high.

Description

technical field [0001] The present invention relates to the processing of finance, insurance, taxation strategy, company or income tax, involving the banking industry, such as: interest calculation, credit approval, mortgage, home banking or online banking, especially a knowledge map-based manual identification of financial anti-fraud method. Background technique [0002] At present, the amount of financial information data is very large. Among the major data sources, in addition to the official sources of financial data data, there are also private information published by various websites, and even major data types mixed in text. The storage structure of these data is a graph structure, and there are certain problems in traditional database storage and display, which cannot be effectively visualized. This is its disadvantage. Contents of the invention [0003] In view of the shortcomings of the prior art, the purpose of the present invention is to provide a method for ...

Claims

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Application Information

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IPC IPC(8): G06Q40/02G06F16/901G06F16/903G06F16/22
Inventor 陈晓文
Owner 湖南衍金征信数据服务有限公司
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