{"title":"不确定环境下个人信用评估的比较研究","authors":"Qi Ruihua, Yang Deli, Hu Runbo","doi":"10.1109/ICMB.2009.15","DOIUrl":null,"url":null,"abstract":"In this paper, we evaluated and contrasted several classifiers for credit scoring in the mobile environment. Taking into account the features of mobile environment, the classification performance is assessed by the precision and the area under Roc curve. Naive Credal Classifier is also introduced to deal with incomplete credit datasets in the mobile environment.","PeriodicalId":125570,"journal":{"name":"2009 Eighth International Conference on Mobile Business","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Comparative Study on the Assessment of Personal Credit in Uncertain Environments\",\"authors\":\"Qi Ruihua, Yang Deli, Hu Runbo\",\"doi\":\"10.1109/ICMB.2009.15\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we evaluated and contrasted several classifiers for credit scoring in the mobile environment. Taking into account the features of mobile environment, the classification performance is assessed by the precision and the area under Roc curve. Naive Credal Classifier is also introduced to deal with incomplete credit datasets in the mobile environment.\",\"PeriodicalId\":125570,\"journal\":{\"name\":\"2009 Eighth International Conference on Mobile Business\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-06-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 Eighth International Conference on Mobile Business\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICMB.2009.15\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 Eighth International Conference on Mobile Business","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMB.2009.15","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Comparative Study on the Assessment of Personal Credit in Uncertain Environments
In this paper, we evaluated and contrasted several classifiers for credit scoring in the mobile environment. Taking into account the features of mobile environment, the classification performance is assessed by the precision and the area under Roc curve. Naive Credal Classifier is also introduced to deal with incomplete credit datasets in the mobile environment.