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基于大数据分析的互联网金融风险预警研究 被引量:80

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摘要 在国家支持互联网创新的政策背景下,互联网金融迅速发展,亟需建立互联网金融风险预警系统进行风险防范。文章从大数据出发,针对互联网金融数据的特点,遵循以数据为中心的系统设计原则,按照数据的处理方式进行系统层级划分,构建了基于大数据分析的互联网金融风险预警系统。运用大数据管理工具和分析方法,可以提前发现互联网金融中潜在的金融风险,从而为互联网企业提供风险管理依据,有利于保障互联网金融企业健康可持续发展。
出处 《现代管理科学》 CSSCI 2014年第4期3-5,共3页 Modern Management Science
基金 中国人民大学科学研究基金(中央高校基本科研业务费专项资金资助)项目"基于高维联合模型的重复测量与生存时间资料联合评价的扩展研究"(项目号:13XNH190)
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