Title :
Research on Information Quality Driven Data Cleaning Framework
Author :
Hao Yan ; Xing-chun Diao ; Kai-qi Li
Author_Institution :
Inst. of Command Autom., PLA Univ.of Sci. & Tech., Nanjing
Abstract :
Considering the limited extensibility and interactivity of the current data cleaning work, this paper proposes a new extensible and interactive data cleaning framework driven by information quality. The framework implements the formation of data quality analysis strategy, data transformation strategy and cleaning result assessment strategy. It also realizes the control of the cleaning process. The framework has the significant features of extensibility and interactivity.
Keywords :
data analysis; information management; data quality analysis; data transformation strategy; information quality; interactive data cleaning framework; Cleaning; Data analysis; Data engineering; Engineering management; Information management; Information technology; Quality management; Seminars; Software tools; Technology management; data cleaning framework; information quality;
Conference_Titel :
Future Information Technology and Management Engineering, 2008. FITME '08. International Seminar on
Conference_Location :
Leicestershire, United Kingdom
Print_ISBN :
978-0-7695-3480-0
DOI :
10.1109/FITME.2008.126