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Optimal Data Quality

Journal of the American Statistical Association, 1985
Abstract Commonly accepted hypotheses guide practical determination of needed data quality; for example, as the probability that a decision uses data increases, the needed data quality increases, and the more rudimentary the uses of the data, the less data quality is needed.
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Data Quality in Data Warehouses

2005
Fayyad and Uthursamy (2002) have stated that the majority of the work (representing months or years) in creating a data warehouse is in cleaning up duplicates and resolving other anomalies. This article provides an overview of two methods for improving quality. The first is data cleaning for finding duplicates within files or across files.
openaire   +1 more source

Challenges to the quality of data-quality measures

Food Chemistry, 2009
Demands are growing for information on the quality of food composition data. It is generally acknowledged today that the traditional measures of data quality (e.g. standard deviations) do not adequately address the complex issues affecting the quality of food composition data.
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Data quality

Information and Software Technology, 1990
T. C. Redman   +3 more
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Quality and Data Science

Journal of the American College of Radiology, 2019
Tessa S. Cook   +2 more
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Data Quality Assessment

2005
For many years the fact that for a high information processing systems’ effectiveness high quality of data is not less important than high systems’ technological performance was not widely understood and accepted. The way to understanding the complexity of data quality notion was also long, as it will be shown below.
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Data quality and the Internet of Things

Computing, 2019
Caihua Liu   +3 more
semanticscholar   +1 more source

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