Description: Data quality is crucial for information management systems in all domains.The real world is often dirty due to various
data quality problems, which range from the simple data entry errors to the complex inconsistencies.Data cleaning deals with detecting
and removing errors and inconsistencies from data to improve the quality of data.After providing a classification of data quality
problems and a survey of data cleaning, this article presents a specification of an extensible data-cleaning framework.The framework
realize features like term model,processing description file and rule&Dic base.
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