Risk identification method and related device

Abstract

The invention discloses a risk identification method, and the method comprises the steps of performing data statistics processing on acquired commodity data of a plurality of organizations according to commodity types and industry standards to obtain purchase and sale commodity matrixes of all the organizations; clustering the purchase and sale commodity matrixes of all organizations to obtain a purchase and sale mode clustering result; and determining organizations deviating from a preset proportion as risk organizations from the purchase and sale mode clustering result. According to the method, the corresponding purchasing and selling modes are determined by clustering the counted purchasing and selling commodity matrixes, and then the risk organization deviating from the purchasing andselling modes is determined on the basis of the normal purchasing and selling modes, so the accuracy of risk identification is improved. The invention further discloses a risk identification device, aserver and a computer readable storage medium, which have the above beneficial effects.

Description

technical field [0001] The present application relates to the technical field of data processing, and in particular to a risk identification method, a risk identification device, a server, and a computer-readable storage medium. Background technique [0002] With the continuous development of data processing technology, more and more data processing operations are currently performed on data. Data is a representation of facts, concepts, or instructions that can be processed by human or automated means. Data becomes information when it is interpreted and given meaning. Data processing is the acquisition, storage, retrieval, processing, transformation and transmission of data. The basic purpose of data processing is to extract and deduce valuable and meaningful data for some specific people from a large amount of data that may be messy and difficult to understand. Data processing is the basic link of system engineering and automatic control. Data processing runs through al...

AI Technical Summary

Problems solved by technology

However, for objects of other operating modes, such as industrial enterprises and other non-commercial enterprises involving complex input-output relationships, there is no effective risk identification algorithm based on the purchase and sale of goods by taxpayers in the industry, that is, it cannot target different types of Enterprise data for effective risk identification reduces the accuracy and precision of risk identification

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