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基于复杂网络的企业信息特征挖掘及风控应用探索

Company information based on complicated network and its applications in risk management
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摘要 当前,随着内外部环境的深刻变化,商业银行授信风险传染路径更为复杂,对此,金融机构开始尝试运用大数据和复杂网络技术来构建便捷、直观的企业信息挖掘应用模式,以扬长避短,提高风控质效. With the current changes in both domestical and abroad environments,the risk management in commercial banks has be-come more complicated.Therefore,financial agencies have started using big data and complicated network to build models and mine compa-ny information directly and easily.The new method improves the quality of risk control and helps the bank with asset management.
作者 赵晖 朱子言 Zhao Hui;Zhu Ziyan(Bank of Jiangsu,Nanjing,Jiangsu,210001;Southeast University,Nanjing,Jiangsu,211189)
机构地区 江苏银行 东南大学
出处 《市场周刊》 2020年第12期145-147,共3页 Market Weekly
关键词 关联风险 复杂网络 特征挖掘 correlated risk complex network feature mining
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