Probabilistic record linkage with the Fellegi and Sunter framework

Using probabilistic record linkage to link privacy preserved police and hospital road accident records

Master thesis (2015)

Authors

Contributors

G. Jongbloed (mentor)

Department

Applied mathematics () (TU Delft)

Statistics Classification Indexing Databases Record linkage Data matching Deduplication Fellegi and sunter Em-algorithm Probabilistic record linkage Deterministic record linkage

To reference this document use:

http://resolver.tudelft.nl/uuid:4ebdb50d-c02f-430b-8037-319b45a3e5db

More Info

expand_more

Published Date

28-10-2015

Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Applied mathematics

Abstract

Record linkage is the procedure of bringing together information from two or more records that are believed to belong to the same entity. The linking of a pair of records without identifier should be based on attributes both records have in common. The probabilistic framework described by Fellegi and Sunter (1969) can be used for record linkage. This record linkage framework classifies pairs of records as links, non-links or possible links based on a comparison of the attributes found in both records. In this thesis, the framework is studied and methods to estimate the parameters of the framework. The framework is applied to link privacy preserved police and hospital road accident records. The linkage of these data sources is of great interest in the field of road safety research.

Files

Thesis_master_FellegiSunter.pd... (pdf)

(pdf | 9.19 Mb)

Unknown license