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- URN to cite this document:
- urn:nbn:de:bvb:355-epub-231615
- DOI to cite this document:
- 10.5283/epub.23161
Abstract
The growing relevance of data quality has revealed the need for adequate measurement. As time aspects are extremely important in data quality management, we propose a novel approach to assess data currency. Our metric, which is founded on probability theory, enables an objective and widely automated assessment for data liable to temporal decline. Its values are easy to interpret by business ...
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