00000nam 2200000zi 4500 9.943193 CaOODSP 20240913103912 m o d f cr cn||||||||| 240913e20240325oncd ob f000 0 eng d CaOODSP eng rda CaOODSP n-cn--- CS11-522/2022-1-18E-PDF Farah, Aziz, author. Integration of existing data to develop an ethnicity indicator in the LSDDP / by Aziz Farah, Bassirou Diagne and Abdelnasser Saïdi. At head of title: Proceedings of Statistics Canada Symposium 2022 : data disaggregation : building a more representative data portrait of society [Ottawa] : Statistics Canada = Statistique Canada, March 25, 2024. 1 online resource (7 unnumbered pages) : graphs. text txt rdacontent computer c rdamedia online resource cr rdacarrier [Statistics Canada international symposium series : proceedings], 1709-8211 Cover title. Issued also in French under title: Intégration des données existantes pour élaborer un indicateur d'ethnicité dans le cadre du PEDSL. Includes bibliographical references. "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. Longitudinal method. Ethnology Canada Statistics. Statistics Canada, issuing body. Intégration des données existantes pour élaborer un indicateur d'ethnicité dans le cadre du PEDSL / (CaOODSP)9.943196 Statistics Canada international symposium series - proceedings, 1709-8211 (CaOODSP)9.505681 PDF 313 KB https://publications.gc.ca/collections/collection_2024/statcan/11-522-x/CS11-522-2022-1-18-eng.pdf 11-522-X