Eunkyong Lee, Yongcheon Park, Heejin Kim, Byeongoh Jung, Jiman Hong
{"title":"An efficient method for automatic updating business rules","authors":"Eunkyong Lee, Yongcheon Park, Heejin Kim, Byeongoh Jung, Jiman Hong","doi":"10.1145/3264746.3264815","DOIUrl":null,"url":null,"abstract":"Information Systems operated by a corporation or government office must perform data quality management that identifies which part of the data is in error and what causes it to provide accurate and consistent data to the customer. However, in general, various problems arise because data quality management is manually performed by the data quality manager in the derivation and verification of business rules. Therefore, in this paper, we propose a method to automatically check the query performance of business rules and business rules to efficiently manage data quality.","PeriodicalId":186790,"journal":{"name":"Proceedings of the 2018 Conference on Research in Adaptive and Convergent Systems","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2018 Conference on Research in Adaptive and Convergent Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3264746.3264815","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Information Systems operated by a corporation or government office must perform data quality management that identifies which part of the data is in error and what causes it to provide accurate and consistent data to the customer. However, in general, various problems arise because data quality management is manually performed by the data quality manager in the derivation and verification of business rules. Therefore, in this paper, we propose a method to automatically check the query performance of business rules and business rules to efficiently manage data quality.