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043 |an-cn---
0861 |aCS11-522/2022-1-18E-PDF
1001 |aFarah, Aziz, |eauthor.
24510|aIntegration of existing data to develop an ethnicity indicator in the LSDDP / |cby Aziz Farah, Bassirou Diagne and Abdelnasser Saïdi.
2461 |iAt head of title: |aProceedings of Statistics Canada Symposium 2022 : |bdata disaggregation : building a more representative data portrait of society
264 1|a[Ottawa] : |bStatistics Canada = Statistique Canada, |cMarch 25, 2024.
300 |a1 online resource (7 unnumbered pages) : |bgraphs.
336 |atext|btxt|2rdacontent
337 |acomputer|bc|2rdamedia
338 |aonline resource|bcr|2rdacarrier
4901 |a[Statistics Canada international symposium series : proceedings], |x1709-8211
500 |aCover title.
500 |aIssued also in French under title: Intégration des données existantes pour élaborer un indicateur d'ethnicité dans le cadre du PEDSL.
504 |aIncludes bibliographical references.
5203 |a"The Longitudinal Social Data Development Program (LSDDP) is a social data integration approach aimed at providing longitudinal analytical opportunities without imposing additional burden on respondents. The LSDDP uses a multitude of signals from different data sources for the same individual, which helps to better understand their interactions and track changes over time. This article looks at how the ethnicity status of people in Canada can be estimated at the most detailed disaggregated level possible using the results from a variety of business rules applied to linked data and to the LSDDP denominator. It will then show how improvements were obtained using machine learning methods, such as decision trees and random forest techniques"--Abstract.
650 0|aLongitudinal method.
650 0|aEthnology|zCanada|xStatistics.
7102 |aStatistics Canada, |eissuing body.
77508|tIntégration des données existantes pour élaborer un indicateur d'ethnicité dans le cadre du PEDSL / |w(CaOODSP)9.943196
830#0|aStatistics Canada international symposium series - proceedings,|x1709-8211|w(CaOODSP)9.505681
85640|qPDF|s313 KB|uhttps://publications.gc.ca/collections/collection_2024/statcan/11-522-x/CS11-522-2022-1-18-eng.pdf