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

Volume

2

fYear

2009

fDate

8-9 Aug. 2009

Firstpage

200

Lastpage

202

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Computing, Communication, Control, and Management, 2009. CCCM 2009. ISECS International Colloquium on

Conference_Location

Sanya

Print_ISBN

978-1-4244-4247-8

Type

conf

DOI

10.1109/CCCM.2009.5267946

Filename

5267946