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043 |an-cn---
0861 |aCS11-522/2024-1-19E-PDF
1001 |aAther, Hanan, |eauthor.
24510|aEfficient record linkage for large datasets by business names / |cby Hanan Ather, Serge Godbout, and Dave MacNeil.
2461 |iAt head of title: |aProceedings of Statistics Canada Symposium 2024 : |bthe future of official statistics
264 1|a[Ottawa] : |bStatistics Canada = Statistique Canada, |cSeptember 8, 2025.
300 |a1 online resource (8 unnumbered pages).
336 |atext|btxt|2rdacontent
337 |acomputer|bc|2rdamedia
338 |aonline resource|bcr|2rdacarrier
4901 |a[Statistics Canada international symposium series : proceedings], |x1709-8211
500 |aTitle from cover.
500 |aIssued also in French under title: Couplage efficace d'enregistrements pour les grands ensembles de données, selon les noms d'entreprise.
504 |aIncludes bibliographical references.
5203 |a"Accurate and efficient record linkage is crucial for maintaining a comprehensive and current Statistical Business Register (SBR) at Statistics Canada. Linking external business lists to the SBR by name presents computational and methodological challenges, especially as data volumes grow. This paper describes a scalable methodology that employs blocking techniques to constrain the computational search space and integrates multiple similarity measures - from edit distances and n-gram overlaps to embedding-based methods using Sentence-BERT (SBERT) - to identify likely matches. By combining simple character-level comparisons with more advanced semantic embedding methods, the approach can adapt to various naming conventions and complexities. While it does not guarantee superior accuracy in all circumstances, it offers a pragmatic balance between computational feasibility and linkage quality"--Abstract, page [2].
650 0|aData integration (Computer science)|zCanada.
650 0|aBig data|zCanada.
650 0|aDeep learning (Machine learning)
7102 |aStatistics Canada, |eissuing body.
77508|tCouplage efficace d'enregistrements pour les grands ensembles de données, selon les noms d'entreprise / |w(CaOODSP)9.966664
830#0|aStatistics Canada international symposium series - proceedings,|x1709-8211|w(CaOODSP)9.505681
85640|qPDF|s297 KB|uhttps://publications.gc.ca/collections/collection_2026/statcan/11-522-x/CS11-522-2024-1-19-eng.pdf
986 |a11-522-X