No ground truth? No problem: Improving administrative data linking using active learning and a little bit of guile

While linking records across large administrative datasets [“big data”] has the potential to revolutionize empirical social science research, many administrative data files do not have common identifiers and are thus not designed to be linked to others. To address this problem, researchers have deve...

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Detalles Bibliográficos
Autores principales: Tahamont, Sarah, Jelveh, Zubin, McNeill, Melissa, Yan, Shi, Chalfin, Aaron, Hansen, Benjamin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10072450/
https://www.ncbi.nlm.nih.gov/pubmed/37014897
http://dx.doi.org/10.1371/journal.pone.0283811

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10072450/
https://www.ncbi.nlm.nih.gov/pubmed/37014897
http://dx.doi.org/10.1371/journal.pone.0283811

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