基于电力大数据的信用反欺诈识别方法

S. Zhan, Keqian Tang, Kaixuan Chang, Liang Yuan, Shuo Liu, Zhaoming Li
{"title":"基于电力大数据的信用反欺诈识别方法","authors":"S. Zhan, Keqian Tang, Kaixuan Chang, Liang Yuan, Shuo Liu, Zhaoming Li","doi":"10.1145/3510858.3511373","DOIUrl":null,"url":null,"abstract":"With the development of Internet finance industry, there are more and more fraud means in credit business. How to effectively prevent credit fraud and reduce credit risk has become a key research topic for financial institutions. Based on the big data of electric power, the evaluation index of enterprise production and operation is established, and the real and objective enterprise production and operation situation is provided for financial units according to the scoring standard. This can assist the decision-making financial units to evaluate the risk of enterprises in the pre loan link, effectively reduce the financing risk of enterprises, and avoid bad debts and non-performing assets.","PeriodicalId":6757,"journal":{"name":"2021 IEEE 3rd International Conference on Civil Aviation Safety and Information Technology (ICCASIT)","volume":"30 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Credit Anti Fraud Identification Method Based on Power Big Data\",\"authors\":\"S. Zhan, Keqian Tang, Kaixuan Chang, Liang Yuan, Shuo Liu, Zhaoming Li\",\"doi\":\"10.1145/3510858.3511373\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the development of Internet finance industry, there are more and more fraud means in credit business. How to effectively prevent credit fraud and reduce credit risk has become a key research topic for financial institutions. Based on the big data of electric power, the evaluation index of enterprise production and operation is established, and the real and objective enterprise production and operation situation is provided for financial units according to the scoring standard. This can assist the decision-making financial units to evaluate the risk of enterprises in the pre loan link, effectively reduce the financing risk of enterprises, and avoid bad debts and non-performing assets.\",\"PeriodicalId\":6757,\"journal\":{\"name\":\"2021 IEEE 3rd International Conference on Civil Aviation Safety and Information Technology (ICCASIT)\",\"volume\":\"30 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-12-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IEEE 3rd International Conference on Civil Aviation Safety and Information Technology (ICCASIT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3510858.3511373\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE 3rd International Conference on Civil Aviation Safety and Information Technology (ICCASIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3510858.3511373","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

随着互联网金融行业的发展,信贷业务中的欺诈手段越来越多。如何有效防范信用欺诈,降低信用风险已成为金融机构研究的重点课题。以电力大数据为基础,建立企业生产经营评价指标,按照评分标准为金融单位提供真实、客观的企业生产经营状况。这可以帮助决策金融单位在贷前环节评估企业的风险,有效降低企业的融资风险,避免坏账和不良资产的产生。
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
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Credit Anti Fraud Identification Method Based on Power Big Data
With the development of Internet finance industry, there are more and more fraud means in credit business. How to effectively prevent credit fraud and reduce credit risk has become a key research topic for financial institutions. Based on the big data of electric power, the evaluation index of enterprise production and operation is established, and the real and objective enterprise production and operation situation is provided for financial units according to the scoring standard. This can assist the decision-making financial units to evaluate the risk of enterprises in the pre loan link, effectively reduce the financing risk of enterprises, and avoid bad debts and non-performing assets.
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
自引率
0.00%
发文量
0
期刊最新文献
Research on Visual Analysis Method of Food Safety Big Data Based on Artificial Intelligence Design of graduation practice management system in higher vocational colleges Data Analysis of Human Resource Performance Appraisal Based on Intelligent Attendance Web Platform Research and implementation of WinCE serial communication mechanism Application of Machine Learning Algorithms in Audit Data Analysis
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1