DocumentCode
2507408
Title
Extending dependencies with conditions for data cleaning
Author
Fan, Wenfei
Author_Institution
Univ. of Edinburgh & Bell Labs., Edinburgh
fYear
2008
fDate
8-11 July 2008
Firstpage
185
Lastpage
190
Abstract
Data cleaning aims to effectively detect and repair errors and inconsistencies in real life data. The increasing costs and risks of dirty data highlight the need for data cleaning techniques. This paper provides an overview of recent advances in data cleaning, based on conditional dependencies, an extension of functional and inclusion dependencies for characterizing the consistency of relational data.
Keywords
data integrity; relational databases; conditional dependencies; data cleaning; error detection; error repairing; functional dependencies; inclusion dependencies; relational data consistency; Algorithm design and analysis; Business; Cleaning; Costs; Data mining; Data warehouses; Databases; Economic forecasting; Error analysis; Industrial relations;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer and Information Technology, 2008. CIT 2008. 8th IEEE International Conference on
Conference_Location
Sydney, NSW
Print_ISBN
978-1-4244-2357-6
Electronic_ISBN
978-1-4244-2358-3
Type
conf
DOI
10.1109/CIT.2008.4594671
Filename
4594671
Link To Document