S. Zhan, Keqian Tang, Kaixuan Chang, Liang Yuan, Shuo Liu, Zhaoming Li
{"title":"Credit Anti Fraud Identification Method Based on Power Big Data","authors":"S. Zhan, Keqian Tang, Kaixuan Chang, Liang Yuan, Shuo Liu, Zhaoming Li","doi":"10.1145/3510858.3511373","DOIUrl":null,"url":null,"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.","PeriodicalId":6757,"journal":{"name":"2021 IEEE 3rd International Conference on Civil Aviation Safety and Information Technology (ICCASIT)","volume":"30 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE 3rd International Conference on Civil Aviation Safety and Information Technology (ICCASIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3510858.3511373","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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.