Abstract
Independent from the concrete definition of the term “data quality” consistency always plays a major role. There are two main points when dealing with the data quality of a database: Firstly, the data quality has to be measured, and secondly, if is necessary, it must be improved. A classifier can be used for both purposes regarding consistency demands by calculating the distance of the classified value to the stored value for measuring and using the classified value for correction.
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Grüning, F. (2007). Data Quality Mining: Employing Classifiers for Assuring Consistent Datasets. In: Gómez, J.M., Sonnenschein, M., Müller, M., Welsch, H., Rautenstrauch, C. (eds) Information Technologies in Environmental Engineering. Environmental Science and Engineering. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-71335-7_11
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DOI: https://doi.org/10.1007/978-3-540-71335-7_11
Publisher Name: Springer, Berlin, Heidelberg
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