Title :
A universal data cleaning framework based on user model
Author :
Yu, Huang ; Xiao-yi, Zhang ; Zhen, Yuan ; Guo-Quan, Jiang
Author_Institution :
Nanjing Telecommun. Inst., Nanjing, China
Abstract :
Data quality is quite significant for management information systems in all fields. However, various data quality problems, from spelling mistakes to complex inconsistencies in semantics, penetrate all over into the systems. The purpose of data cleaning is to detect and eliminate the dirty data and improve the data quality. The data quality problems and the current research results of data cleaning are summarized. In terms of the current management information systems, a universal data cleaning framework based on user model is proposed.
Keywords :
data handling; data warehouses; information systems; data quality; data warehouse; dirty data detection; management information system; universal data cleaning framework; user model; Algorithm design and analysis; Cleaning; Data analysis; Data warehouses; Decision support systems; Error correction; Information systems; Machine learning algorithms; Management information systems; Sorting; data cleaning; data quality; data warehouse; user model;
Conference_Titel :
Computing, Communication, Control, and Management, 2009. CCCM 2009. ISECS International Colloquium on
Conference_Location :
Sanya
Print_ISBN :
978-1-4244-4247-8
DOI :
10.1109/CCCM.2009.5267946
