Record linkage is the task of identifying which records from one or more data sources refer
to the same person. Often, records do not have a common key and may contain …

Record linkage is the task of identifying which records from one or more data sources refer
to the same entity. Many record linkage methods were introduced and applied over the last …

Abstract At Statistics Canada, matching data without unique identifiers is a common practice.
The probabilistic record linkage method developed by Ivan Fellegi and Allan Sunter1 is the …

Record linkage addresses the problem of identifying pairs of records coming from different
sources and referred to the same unit of interest. Fellegi and Sunter propose an optimal …

Objectives: There have been many developments and applications of mathematical
methods in the context of record linkage as one area of interdisciplinary research efforts …

Probabilistic linkage (or record linkage) consists of methods for matching duplicate records
within or across files using non‐unique identifiers such as first name, last name, date of birth …

Record linkage algorithms aim to identify pairs of records that correspond to the same
individual from two or more datasets. In general, fields that are common to both datasets are …

Objective: To incorporate value-based weight scaling into the Fellegi-Sunter (F–S) maximum
likelihood linkage algorithm and evaluate the performance of the modified algorithm …

Probabilistic record linkage is a method commonly used to determine whether demographic
records refer to the same person. The Fellegi–Sunter method is a probabilistic approach that …

Background Record linkage is the process of identifying and combining records about the
same individual from two or more different datasets. While there are many open source and …