Invoice changing entity detection method and system

Abstract

The invention relates to an invoice changing entity detection method and system. The method comprises the steps: acquiring the feature data of a plurality of entities, wherein the entities comprise to-be-detected entities and associated entities of the to-be-detected entities, and the feature data comprise invoicing features and attribute features; inputting the feature data into a pre-trained detection model to obtain invoice changing predictive scores of the to-be-detected entities output by the pre-trained detection model; and if the invoice changing predictive scores accord with a preset invoice changing entity detection condition, determining that the to-be-detected entities belong to invoice changing entities. According to the technical scheme, the trained detection model can be utilized, and the feature data of the to-be-detected entities and the associated entities are combined to carry out entity prediction with relatively high accuracy and robustness, so that the prediction accuracy of the invoice changing entity can be improved, and the actual business requirements of tax-related businesses such as tax inspection and collection and management can be further met.

Description

technical field [0001] The present disclosure relates to the technical field of entity detection of tax bill change, in particular to a method and system for entity detection of tax bill change. Background technique [0002] Invoice change entities in the tax field refer to social entities such as entities that are actually controlled by criminals, receive a large number of false invoices, and issue a large number of false invoices to downstream entities designated by upstream entities or associated downstream entities. Invoice change entities are false tax fraud gangs The middle-level social entity is the most important link connecting the criminal chain of false tax fraud. [0003] In order to ensure the effective development of tax-related businesses such as tax inspections and collection management, the potential entities that change bills in the tax field are generally detected and effectively identified, so as to realize risk warning for entities that change bills. Ho...

AI Technical Summary

Problems solved by technology

However, the existing detection schemes for changing bill entities cannot accurately detect the changing bill entities, and it is difficult to meet the actual business needs of tax-related businesses such as tax inspection and collection management.

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