Title :
Extending dependencies with conditions for data cleaning
Author_Institution :
Univ. of Edinburgh & Bell Labs., Edinburgh
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;
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
DOI :
10.1109/CIT.2008.4594671
