{"title":"Inferring the cause of errors for a scalable, accurate, and complete constraint-based data cleansing","authors":"Ayako Hoshino, Hiroki Nakayama, Chihiro Ito, Kyota Kanno, Kenshi Nishimura","doi":"10.1007/s40595-015-0052-y","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":30898,"journal":{"name":"Vietnam Journal of Computer Science","volume":"37 1","pages":"3-12"},"PeriodicalIF":0.6000,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Vietnam Journal of Computer Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s40595-015-0052-y","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}