摘要
将数据挖掘技术有效地运用在企业信用风险评估过程中,能够对企业的历史经营数据展开深入研究,分析企业是否会出现欺诈或信用风险,并预测未来的信用水平,进而采取科学合理的监督手段和措施在发生信用风险之前展开相应的管控,促进我国整体市场经济的稳定健康发展。
The effective application of data mining technology in enterprise credit risk assessment can help to deeply study enterprises’historical operating data.On this basis,we can predict enterprises’fraud possibility,credit risk and future credit level.Furthermore,we can adopt scientific and reasonable supervision methods to implement related management and control before the occurrence of credit risk,so as to improve the sustainable and healthy development of China’s market economy.
作者
刘璇
张蕾
刘钟
陈彦洁
LIU Xuan;ZHANG Lei;LIU Zhong;CHEN Yan-jie(Economic and Technological Research Institute,State Grid Hebei Electric Power Co.,Ltd.,Shijiazhuang 050000,China)
出处
《山西财经大学学报》
北大核心
2023年第S02期89-91,共3页
Journal of Shanxi University of Finance and Economics
关键词
数据挖掘技术
企业信用
信用风险评估
data mining technology
enterprise credit
credit risk assessment