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Dataset Information

Evaluation measure for group-based record linkage.


ABSTRACT:

Introduction

The robustness of record linkage evaluation measures is of high importance since linkage techniques are assessed based on these. However, minimal research has been conducted to evaluate the suitability of existing evaluation measures in the context of linking groups of records. Linkage quality is generally evaluated based on traditional measures such as precision and recall. As we show, these traditional evaluation measures are not suitable for evaluating groups of linked records because they evaluate the quality of individual record pairs rather than the quality of records grouped into clusters.

Objectives

We set out to highlight the shortcomings of traditional evaluation measures and then propose a novel method to evaluate clustering quality in the context of

SUBMITTER: Nanayakkara C 

PROVIDER: S-EPMC8142966 | biostudies-literature | 2019 Nov

REPOSITORIES: biostudies-literature