{"title":"社会媒体分析,以更好地检测欺诈性申请在线小额信贷贷款","authors":"V. Kuznetsova, I. Azhmuhamedov, O. Protalinskiy","doi":"10.1109/EnT47717.2019.9030547","DOIUrl":null,"url":null,"abstract":"The research provides insights into the current status of the microfinance industry in the digital economy, describes the core challenges of online microlending in the area of assessing creditworthiness, reviews options and opportunities of building user type styles in anti-fraud scoring in the microloan system.","PeriodicalId":288550,"journal":{"name":"2019 International Conference on Engineering and Telecommunication (EnT)","volume":"100 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Social Media Analytics for Better Detection of Fraudulent Applications for Online Microfinance Loans\",\"authors\":\"V. Kuznetsova, I. Azhmuhamedov, O. Protalinskiy\",\"doi\":\"10.1109/EnT47717.2019.9030547\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The research provides insights into the current status of the microfinance industry in the digital economy, describes the core challenges of online microlending in the area of assessing creditworthiness, reviews options and opportunities of building user type styles in anti-fraud scoring in the microloan system.\",\"PeriodicalId\":288550,\"journal\":{\"name\":\"2019 International Conference on Engineering and Telecommunication (EnT)\",\"volume\":\"100 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 International Conference on Engineering and Telecommunication (EnT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EnT47717.2019.9030547\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Engineering and Telecommunication (EnT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EnT47717.2019.9030547","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Social Media Analytics for Better Detection of Fraudulent Applications for Online Microfinance Loans
The research provides insights into the current status of the microfinance industry in the digital economy, describes the core challenges of online microlending in the area of assessing creditworthiness, reviews options and opportunities of building user type styles in anti-fraud scoring in the microloan system.