基于大数据的金融风险预警系统

Financial Risk Early Warning System Based on Big Data

随着时代的发展,中国互联网已经得到了创新和发展,互联网金融也有了广阔的发展空间。互联网金融的发展过程中将出现各种风险因素。因此,有必要建立有效的风险预警系统。首先论述了国内外主要的区域金融风险预警系统,并以此模型为基础构建了金融风险预警系统。其次通过建立大量的相关支持数据,在建立风险指标和用户参与度等各种数据库的基础上,利用机器学习算法设计了预警预测系统。最后,将系统收集的数据库用于效果分析和相关性测试,并得出定量结论。

With the development of the times,China's Internet has been innovated and developed,and Internet finance also has a broad space for development.Various risk factors will appear in the development of Internet finance.Therefore,it is necessary to establish an effective risk early warning system.This article reviews the main regional financial risk early warning systems at home and abroad,and builds a financial risk early warning system based on this model.Through the establishment of a large number of relevant supporting data,based on the establishment of various databases such as risk indicators and user participation,the early warning and prediction system is designed using machine learning algorithms.Finally,use the database collected by the system for effect analysis and correlation testing,and draw quantitative conclusions.