TítolValidating distance-based record linkage with probabilistic record linkage
Publication TypeConference Paper
Year of Publication2002
AuthorsDomingo-Ferrer J, Torra V
EditorEscrig M.T, Toledo F., Golobardes E.
Conference NameLecture Notes on Artificial Intelligence
EditorSpringer - Verlag

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.