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Method, device and equipment for mining fraud risk nodes and storage medium

A node and risk technology, applied in the information field, can solve problems such as slow manual screening process

Pending Publication Date: 2021-05-11
撼地数智(重庆)科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This kind of gang fraud is sometimes not easy to detect. Artificial intelligence algorithms are used to identify fish that may slip through the net, while manual screening is a very slow process

Method used

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  • Method, device and equipment for mining fraud risk nodes and storage medium
  • Method, device and equipment for mining fraud risk nodes and storage medium
  • Method, device and equipment for mining fraud risk nodes and storage medium

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Embodiment Construction

[0020] In order to make the purpose, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below through specific implementation methods in conjunction with the accompanying drawings. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0021] A mining method for fraud risk nodes provided by this application can be applied to such as figure 1 shown in the application environment. Among them, the terminal 1 is the place where this method is implemented, and the terminal 1 can interact with the server 2 through the network, wherein, the terminal 1 receives the enterprise data from the server 2, and finally obtains the target risk degree of the target enterprise, which can be transmitted to In the server 2, similarly, the place where this solution is implemented can also be in the form of a server, which is ...

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Abstract

The invention provides a method, device and equipment for mining fraud risk nodes and a storage medium. The method comprises the steps: building an enterprise graph according to enterprise data, screening the nodes in the enterprise graph according to a known blacklist, carrying out the intermediary centrality calculation of the nodes which do not belong to the blacklist, taking the nodes of which the intermediary centrality is greater than a preset value as the complex nodes, performing fraud risk analysis, and if the nodes exist, adding the nodes into the blacklist to obtain a target blacklist, thereby realizing mining of the nodes with the fraud risk. According to the method, all the nodes can be comprehensively analyzed, the nodes are classified and screened by adopting calculation of intermediary centrality, so that only the nodes with the possible fraud risk are specifically analyzed by adopting various methods, and the efficiency of mining the nodes with the fraud risk is greatly improved while the comprehensiveness is ensured.

Description

technical field [0001] The present invention relates to the field of information technology, in particular to a method, device, equipment and storage medium for mining fraud risk nodes. Background technique [0002] Fraud risk is one of the main risks in the consumer finance business. It refers to the risk that credit customers do not have the willingness to repay at all. The bad debts of many financial institutions are caused by fraud. Therefore, it is necessary to build an effective risk control system. The pre-loan anti-fraud link is the first risk control link to help financial institutions filter out low-quality users and fraudsters. Traditional anti-fraud risk methods are mainly based on personal behavior data collected through SDK, consumption and communication data crawled by crawlers and other technologies, and user data from third-party organizations, using machine learning such as logistic regression, random forest, and neural network Methods A scoring model was ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q40/02G06Q40/04G06Q40/06
CPCG06Q40/04G06Q40/06G06Q40/03
Inventor 何浪郭亚萌张炫
Owner 撼地数智(重庆)科技有限公司