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Reinforcing Records for Improving the Quality of Data Integration

机译:提高数据集成质量的加强记录

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In the data integration, the heterogeneity of sources leads to missing value and various expressions of the same value in records, which reduces the quality of data. In this paper, we propose a novel approach to reinforce records for the integrated data. By studying the functional dependency of attribute in schema of data integration, we discover the related attribute that determines the attribute with uncertain value. Then our approach exploits matching algorithms on the value of related attribute to associate different records. And the uncertain value will be reinforced with the consistent value in a certain record. We also propose algorithms for reinforcing dataset of data integration. The experiments based on the data of conference paper demonstrate the effectiveness and performance of our approach on improving the quality of data.
机译:在数据集成中,源的异质性导致缺少值和在记录中相同值的各种表达式,这降低了数据的质量。在本文中,我们提出了一种提高综合数据记录的新方法。通过研究数据集成架构中属性的功能依赖性,我们发现确定具有不确定值的属性的相关属性。然后我们的方法利用匹配算法对相关属性的值来关联不同记录。并且,在某个记录中,将在一致的值中加强不确定的值。我们还提出了用于加强数据集成数据集的算法。基于会议论文数据的实验证明了我们对提高数据质量的方法的有效性和表现。

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