Abstract
Given two-data databases, record linkage algorithms try to establish which records of these files contain information on the same individual. Standard record linkage algorithms assume that both files are described using the same attributes. In this article, we study the nonstandard case when the attributes are not the same. We apply aggregation operators for extracting relevant information for this purpose. We restrict to the case of numerical databases.
| Original language | English |
|---|---|
| Pages (from-to) | 715-734 |
| Number of pages | 20 |
| Journal | International Journal of Intelligent Systems |
| Volume | 23 |
| Issue number | 6 |
| DOIs | |
| Publication status | Published - Jun 2008 |
| Externally published | Yes |
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