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Way to go: A graph mining based approach to record linkage for sparse data

von Lunen, Alexander (2012) Way to go: A graph mining based approach to record linkage for sparse data. International Journal of Arts & Science, 5 (6). pp. 523-538. ISSN 1944-6934

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Abstract

Record linkage is an important field for Digital History and Historical Demography, among
others. To link data from different recordsets existing algorithms almost always take at least
two discriminating data into account, such as a name and date of birth, to link records of an
individual. If there is only sparse data available for a person, i.e. only a name, it is usually dismissed as impossible to link by the record linkage literature. This paper introduces an algorithm to link sparse data sets on individuals when, by and large, only nominal data is available.

Item Type: Article
Subjects: C Auxiliary Sciences of History > C Auxiliary sciences of history (General)
Schools: School of Music, Humanities and Media
Related URLs:
Depositing User: Alexander Von Lunen
Date Deposited: 13 Jan 2015 10:04
Last Modified: 12 Feb 2015 10:26
URI: http://eprints.hud.ac.uk/id/eprint/22917

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