Credit Anti Fraud Identification Method Based on Power Big Data

S. Zhan, Keqian Tang, Kaixuan Chang, Liang Yuan, Shuo Liu, Zhaoming Li
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Abstract

With the development of Internet finance industry, there are more and more fraud means in credit business. How to effectively prevent credit fraud and reduce credit risk has become a key research topic for financial institutions. Based on the big data of electric power, the evaluation index of enterprise production and operation is established, and the real and objective enterprise production and operation situation is provided for financial units according to the scoring standard. This can assist the decision-making financial units to evaluate the risk of enterprises in the pre loan link, effectively reduce the financing risk of enterprises, and avoid bad debts and non-performing assets.
基于电力大数据的信用反欺诈识别方法
随着互联网金融行业的发展,信贷业务中的欺诈手段越来越多。如何有效防范信用欺诈,降低信用风险已成为金融机构研究的重点课题。以电力大数据为基础,建立企业生产经营评价指标,按照评分标准为金融单位提供真实、客观的企业生产经营状况。这可以帮助决策金融单位在贷前环节评估企业的风险,有效降低企业的融资风险,避免坏账和不良资产的产生。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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