Validating Distance-Based Record Linkage with Probabilistic Record Linkage

Authors:
Josep Domingo-Ferrer;Vicenç Torra
Affiliations:
-;-
Venue:
CCIA '02 Proceedings of the 5th Catalonian Conference on AI: Topics in Artificial Intelligence
Year:
2002

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Abstract

This work compares two alternative methods for record linkage: distance based and probabilistic record linkage. It compares the performance of both approaches when data is categorical. To that end, a distance over ordinal and nominal scales is defined. The paper shows that, for categorical data, distance-based and probabilistic-based record linkage lead to similar results in relation to the number of re-identified records. As a consequence, the distance proposed for ordinal and nominal scales is implicitly validated.