基于关联规则算法的电商财务风险评估系统

E-Commerce Financial Risk Assessment System Based on Association Rule Algorithm

传统的电商财务风险评估系统通过建立分序列标准模型,计算电商财务数据的风险权重值,由于缺乏对风险数据的有效挖掘,导致评估效果不佳。因此,提出基于关联规则算法的电商财务风险评估系统。首先,构建数据采集模块和传输控制模块,作为系统的硬件支持。其次,采用关联规则算法,计算风险数据的置信度和支持度,实现对风险数据的挖掘。最后,建立风险评估指标体系,构建风险评估模型。在实验中,对提出的方法进行评估性能的验证。实验结果表明,采用提出的系统评估电商财务的风险,其风险预测的误差概率较小,具备较高的评估精度。

The traditional e-commerce financial risk assessment system calculates the risk weight value of e-commerce financial data by establishing a standard model of sequence.Due to the lack of effective mining of risk data,the assessment effect is poor.In this regard,an e-commerce financial risk assessment system based on association rule algorithm is proposed.Firstly,build data acquisition module and transmission control module as the hardware support of the system.Secondly,the association rule algorithm is used to calculate the confidence and support of risk data,realize the mining of risk data.Finally,establish the risk assessment index system,and build the risk assessment model.In the experiment,the performance of the proposed method is verified.The experimental results shows that the proposed system for risk assessment of e-commerce finance has low error probability of risk prediction and high assessment accuracy.