The Data Verifying Approach with Non-Primary Key Characteristic Field and its Derivative Information

摘要：

　　In actual business informational data processing in daily work,the quality of original business batch data obtained from various business aspects is likely uncertain and perhaps there are some irregular errors in those batch data.In this paper,non-primary key characteristic field of relational ship data table is discussed to face with the uncertain quality problem of original batch data.The presentation forms of non-primary key characteristic value can carry not only diverse information but also derivative information and own the available value.A data verifying approach with non-primary key characteristic value and its derivative information as well as one priori contrastive criterion dataset is put forward.The application effect exposed that non-primary key characteristic value and its derivative information can help data manager to grasp the quality of original business batch data,to find out the error of primary key value,the error type and even rectify the false primary key value and they are essential for improving the low quality business information batch data.

作者: YONG HUANG YALING LI

作者单位: Network Centre of Hangtiancheng region of Beijing City University,No.6 of Huanghoudian Road,Haidian Network Centre of Beijing City University,No.269 of the middle of North Fourth Ring Road,Beijing,Chi

会议类型: 国际会议

会议名称: 2014 International Conference on Management and Engineering(CME 2014)(2014管理与工程国际会议)

会议地点: 上海

会议语种:英文

页码: 1-8

在线出版日期: 2014-05-24（万方平台首次上网日期，不代表论文的发表时间）