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Systematically corrupting data to assess data linkage quality
Ahmad Alsadeeqi
, Alasdair J. G. Gray
School of Mathematical & Computer Sciences
Computer Science
Research output
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Contribution to conference
›
Abstract
Overview
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Computer Science
Optical Character Recognition
100%
Record Linkage
100%
Data Corruption
100%
Attribute Level
100%
INIS
data
100%
levels
57%
algorithms
42%
ground truth
42%
datasets
28%
computers
14%
errors
14%
transcription
14%
coffee
14%
females
14%
males
14%
fires
14%
Engineering
Quality Data
100%
Optical Character Recognition
100%
Hazardous Materials Spills
100%
Earth and Planetary Sciences
Data Quality
100%