重复数据删除过程中字符串编码函数的分析

2015 International Conference on Informatics, Electronics & Vision (ICIEV) Pub Date : 2015-06-15 DOI:10.1109/ICIEV.2015.7333979

Maria del Pilar Angeles, Luis Fernando Perez-Franco

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引用次数: 3

摘要

本研究旨在帮助用户识别哪些编码功能在数据匹配质量方面比其他功能更有效。因此，我们考虑Soundex Daitch-Mokotoff[1]、Fuzzy Soundex[2]和Modified Soundex[3]，从查全率(precision-recall)和f-measure三个方面对数据匹配进行了评价。据我们所知，这种与这些编码函数的比较以前还没有以这种方式提出过。Daitch Mokotoff Soundex函数在字符串比较中具有更好的性能。但是，它的执行时间比模糊Soundex和修改Soundex要长。这是合理的，因为Daitch-Mokotoff Soundex算法更加复杂和细致。

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Analysis of string encoding functions during de-duplication process

The present research is aimed to help users to identify which encoding functions are more effective than others in terms of data matching quality. Therefore, we have carried out an evaluation of data matching considering Soundex Daitch-Mokotoff [1], Fuzzy Soundex [2] and Modified Soundex [3] in terms of precision-recall and f-measure. As far as we know such comparison against these encoding functions has not been presented before in such terms. The Daitch Mokotoff Soundex function has a better performance during string comparison. However, its execution time is greater than Fuzzy Soundex and Modified Soundex. This is justificable since the Daitch-Mokotoff Soundex algorithm is more complex and meticulous.

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2015 International Conference on Informatics, Electronics & Vision (ICIEV)

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