Qualitative data cleaning
Data quality is one of the most important problems in data management, since dirty data often leads to inaccurate data analytics results and wrong business decisions. Data cleaning exercise often consist of two phases: error detection and error repairing. Error detection techniques can either be qua...
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| Veröffentlicht in: | Proceedings of the VLDB Endowment 2016-09, Vol.9 (13), p.1605-1608 |
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| Hauptverfasser: | , |
| Format: | Artikel |
| Sprache: | eng |
| Online-Zugang: | Volltext |
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