Journal of Northeastern University Natural Science ›› 2016, Vol. 37 ›› Issue (12): 1683-1687.DOI: 10.12068/j.issn.1005-3026.2016.12.003

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A Consistency Cleaning Method Based on Content-related Conditional Functional Dependencies

DU Yue-feng1, SHEN De-rong1, ZHANG Liang2, YU Ge1   

  1. 1. School of Information Science & Engineering, Northeastern University, Shenyang 110819, China; 2. PLA 65154 Troops, Lingyuan 122513, China.
  • Received:2015-07-31 Revised:2015-07-31 Online:2016-12-15 Published:2016-12-23
  • Contact: DU Yue-feng
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Abstract: Based on conditional functional dependencies, content-related conditional functional dependencies (CCFDs) and the consistency cleaning method were presented based on CCFDs. By analyzing the relationship of the conditional functional dependencies, the related conditional functional dependencies were combined into CCFDs. The CCFDs can not only detect the consistencies under multi-conditional values, but also provide reference values for the consistency repairing. A consistency repairing-cost model was presented. Then the data was corrected to be consistent with the minimal repairing cost according to the actual data. And the repaired results are approved accuracy for both the inconsistency detection and the inconsistency repairing via the experimental evaluation on two real-life datasets.

Key words: data cleaning, conditional functional dependency, content relativity, data consistency, repairing-cost model

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