Abstract / Description of output
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.
|Title of host publication
|Proceedings of 8th IEEE International Conference on Computer and Information Technology, CIT 2008, Sydney, Australia, July 8-11, 2008
|Institute of Electrical and Electronics Engineers (IEEE)
|Number of pages
|Published - 2008