A rule based taxonomy of dirty data.
(2011)
Presentation / Conference Contribution
Li, L., Peng, T., & Kennedy, J. A rule based taxonomy of dirty data. Presented at Annual International Academic Conference on Data Analysis, Data Quality and Metadata Management
There is a growing awareness that high quality of data is a key to today’s business success and that dirty data existing within data sources is one of the causes of poor data quality. To ensure high quality data, enterprises need to have a process, m... Read More about A rule based taxonomy of dirty data..