Handling Failures in Data Quality Measures
Successful data quality (DQ) measure is important for many data consumers (or data guardians) to decide on the acceptability of data of concerned. Nevertheless, little is known about how “failures” of DQ measures can be handled by data guardians in the presence of factor(s) that contributes to the f...
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| Main Authors: | , , |
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| Format: | Article |
| Published: |
2013
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| Subjects: | |
| Online Access: | http://eprints.unisza.edu.my/3812/ |
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