电子技术2024,Vol.53Issue(4) :238-239.

基于数据挖掘的个人信用风险评估分析

Analysis of Personal Credit Risk Assessment Based on Data Mining

彭维博 陈进平
电子技术2024,Vol.53Issue(4) :238-239.

基于数据挖掘的个人信用风险评估分析

Analysis of Personal Credit Risk Assessment Based on Data Mining

彭维博 1陈进平1
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作者信息

  • 1. 中国邮政储蓄银行湖北省分行,湖北 430021
  • 折叠

摘要

阐述基于数据挖掘技术的信用卡个人信用风险评估方法,在银行业务中应用于高潜力期缴保险客户营销.通过算法建模、客户数据处理等步骤,构建低资产客户潜力预测模型,实现有效客户挖掘.

Abstract

This paper expounds a personal credit risk assessment method for credit cards based on data mining technology,and applies it to the marketing of high potential period payment insurance customers in banking business.It constructs a low asset customer potential prediction model through algorithm modeling,customer data processing,and other steps to achieve effective customer mining.

关键词

数据挖掘/信用风险评估/预测模型

Key words

data mining/credit risk assessment/predictive models

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出版年

2024
电子技术
上海市电子学会,上海市通信学会

电子技术

影响因子:0.296
ISSN:1000-0755
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