Creating a large database test bed with typographical errors for record linkage evaluation.

Nawanan Theera-Ampornpunt; Boonchai Kijsanayotin; Stuart M. Speedie

Creating a large database test bed with typographical errors for record linkage evaluation.

Nawanan Theera-Ampornpunt
, Boonchai Kijsanayotin
, Stuart M. Speedie

University of Minnesota Twin Cities

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

Abstract

Evaluation of record linkage algorithms requires a large database test bed that is representative of the real-world data. We created such a large database that reflects the demographic distribution of a typical population and contains typographical errors commonly made during data entry. This database can be used with high confidence as a test bed to evaluate various record linkage algorithms.

Original language	English
Pages (from-to)	1153
Number of pages	1
Journal	AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium
Publication status	Published - 2008
Externally published	Yes

Cite this

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abstract = "Evaluation of record linkage algorithms requires a large database test bed that is representative of the real-world data. We created such a large database that reflects the demographic distribution of a typical population and contains typographical errors commonly made during data entry. This database can be used with high confidence as a test bed to evaluate various record linkage algorithms.",

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AB - Evaluation of record linkage algorithms requires a large database test bed that is representative of the real-world data. We created such a large database that reflects the demographic distribution of a typical population and contains typographical errors commonly made during data entry. This database can be used with high confidence as a test bed to evaluate various record linkage algorithms.

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JO - AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium

JF - AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium

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Creating a large database test bed with typographical errors for record linkage evaluation.

Abstract

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