Data processing method, apparatus and device for insurance fraud identification, and server

Abstract

Embodiments of the present specification disclose a data processing method, apparatus and device for insurance fraud identification, and a server. The method may comprise: acquiring relationship association data of a target population, wherein the target population comprises a set of selected applied claimants and insurants; constructing multi-degree relationship network map data for the target population based on the relationship association data; clustering the multi-degree relationship network map data by using an unsupervised learning algorithm to determine a classified communities of thetarget population and corresponding community information; and calculating community characteristics of the classified communities based on the community information, and marking the classified community that meets the insurance fraud decision-making condition as a fraud group. According to the embodiments of the present specification, a group of fraudsters can be effectively and efficiently identified from a multi-degree relationship.

Description

technical field [0001] The embodiment solution of this specification belongs to the technical field of computer data processing for insurance anti-fraud identification, and in particular relates to a data processing method, device, device and server for insurance fraud identification. Background technique [0002] Insurance is the financial, personal and other protection that can be enjoyed by paying the prescribed premium. With the economic development of the society and the improvement of people's insurance awareness, the demand for insurance business is also increasing. [0003] However, due to the certain economic leverage effect of insurance, a large number of fraudulent insurance behaviors appear in the market. These fraudulent persons usually deliberately create insurance events and obtain compensation from insurance companies accordingly. The current fraudulent insurance behavior tends to develop into a professional and team-based trend, which will have a very adver...

AI Technical Summary

Problems solved by technology

[0003] However, due to the certain economic leverage effect of insurance, a large number of fraudulent insurance behaviors appear in the market. These fraudulent persons usually deliberately create insurance incidents and obtain compensation from insurance companies accordingly.

The current fraudulent insurance behavior tends to develop into a professional and team-based trend, which will have a very adverse impact on the healthy development of the insurance industry and damage the interests of insurance companies and the public

At present, the traditional way of identifying fraudulent insurance mainly relies on manual identification of historical fraudulent persons, and predicts whether there is a risk of fraudulent insurance based on the behavior of historical fraudulent persons

However, at present, the relationship between fraudulent insurance groups is developing more and more. The coverage of insurance fraudsters identified by manual simple identification and review of fraudulent insurance personnel is not high, and the efficiency of manual review is also relatively low.

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