Application of Innovative Risk Early Warning Model Based on Big Data Technology in Internet Credit Financial Risk

Bingqiu Zhang
{"title":"Application of Innovative Risk Early Warning Model Based on Big Data Technology in Internet Credit Financial Risk","authors":"Bingqiu Zhang","doi":"10.4018/jitr.299920","DOIUrl":null,"url":null,"abstract":"The emergence of the new economic model of Internet credit industry brings convenience to people's lives, and it also impacts the business model of traditional commercial banking to a great extent. How to better improve the operation mode, correctly assess and avoid the risks of Internet finance, and create a healthy, orderly, safe and sustainable development environment of Internet finance industry is an important research topic in this industry under the current situation. This paper studies the application of innovative risk early warning model based on big data technology in Internet credit financial risk assessment, aiming at maximizing the utilization efficiency of internal and external data, building a timely, accurate and effective early warning system with independent characteristics, and creating a sharp weapon for intelligent risk early warning. In order to promote the healthy and benign development of China's Internet finance industry.","PeriodicalId":296080,"journal":{"name":"J. Inf. Technol. Res.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"J. Inf. Technol. Res.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4018/jitr.299920","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

The emergence of the new economic model of Internet credit industry brings convenience to people's lives, and it also impacts the business model of traditional commercial banking to a great extent. How to better improve the operation mode, correctly assess and avoid the risks of Internet finance, and create a healthy, orderly, safe and sustainable development environment of Internet finance industry is an important research topic in this industry under the current situation. This paper studies the application of innovative risk early warning model based on big data technology in Internet credit financial risk assessment, aiming at maximizing the utilization efficiency of internal and external data, building a timely, accurate and effective early warning system with independent characteristics, and creating a sharp weapon for intelligent risk early warning. In order to promote the healthy and benign development of China's Internet finance industry.
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
基于大数据技术的创新型风险预警模型在互联网信贷金融风险中的应用
互联网信贷行业新经济模式的出现,给人们的生活带来便利的同时,也在很大程度上冲击着传统商业银行的经营模式。如何更好地完善互联网金融运营模式,正确评估和规避互联网金融风险,营造互联网金融行业健康、有序、安全、可持续发展的环境,是当前形势下该行业的重要研究课题。本文研究基于大数据技术的创新风险预警模型在互联网信贷金融风险评估中的应用,旨在最大限度地提高内部和外部数据的利用效率,构建及时、准确、有效、具有独立特点的预警系统,打造智能风险预警的利器。以促进中国互联网金融行业的健康良性发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Benchmarking Serverless Computing: Performance and Usability MAC Protocol Analysis for Wireless Sensor Networks Prognostic Model for the Risk of Coronavirus Disease (COVID-19) Using Fuzzy Logic Modeling Evaluation of Teachers' Innovation and Entrepreneurship Ability in Universities Based on Artificial Neural Networks Cluster-Based Vehicle Routing on Road Segments in Dematerialised Traffic Infrastructures
×
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