基于Logistic回归方法的个人信用评级系统

2019 International Conference on Economic Management and Model Engineering (ICEMME) Pub Date : 2019-12-01 DOI:10.1109/ICEMME49371.2019.00040

Mingjia Yan

{"title":"基于Logistic回归方法的个人信用评级系统","authors":"Mingjia Yan","doi":"10.1109/ICEMME49371.2019.00040","DOIUrl":null,"url":null,"abstract":"Credit card rating has become an increasingly crucial problem in the society as credit card system greatly improves the efficiency and convenience of people's life. The rating of credit card is an important part of risk control. In this research we focus on predicting credit card holder's default rate. Classical classifiers are implemented in this research to find the optimal model and method of data preprocessing.","PeriodicalId":122910,"journal":{"name":"2019 International Conference on Economic Management and Model Engineering (ICEMME)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Personal Credit Rating System Based on the Logistic Regression Method\",\"authors\":\"Mingjia Yan\",\"doi\":\"10.1109/ICEMME49371.2019.00040\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Credit card rating has become an increasingly crucial problem in the society as credit card system greatly improves the efficiency and convenience of people's life. The rating of credit card is an important part of risk control. In this research we focus on predicting credit card holder's default rate. Classical classifiers are implemented in this research to find the optimal model and method of data preprocessing.\",\"PeriodicalId\":122910,\"journal\":{\"name\":\"2019 International Conference on Economic Management and Model Engineering (ICEMME)\",\"volume\":\"2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 International Conference on Economic Management and Model Engineering (ICEMME)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICEMME49371.2019.00040\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Economic Management and Model Engineering (ICEMME)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEMME49371.2019.00040","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 1

摘要

随着信用卡系统极大地提高了人们生活的效率和便利性，信用卡评级已经成为一个越来越重要的社会问题。信用卡评级是风险控制的重要组成部分。在本研究中，我们着重于预测信用卡持卡人的违约率。本研究采用经典分类器，寻找最优的数据预处理模型和方法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Personal Credit Rating System Based on the Logistic Regression Method

Credit card rating has become an increasingly crucial problem in the society as credit card system greatly improves the efficiency and convenience of people's life. The rating of credit card is an important part of risk control. In this research we focus on predicting credit card holder's default rate. Classical classifiers are implemented in this research to find the optimal model and method of data preprocessing.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2019 International Conference on Economic Management and Model Engineering (ICEMME)

自引率

0.00%

发文量