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| 001 | 9.965832 |
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| 008 | 260914e20250908oncad obs f000 0 eng d |
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| 040 | |aCaOODSP|beng|erda|cCaOODSP |
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| 043 | |an-cn--- |
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| 086 | 1 |aCS11-522/2024-1-1E-PDF |
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| 100 | 1 |aPilgram, Lisa |d1991- |eauthor. |
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| 245 | 10|aPractical applications of synthetic data generation / |cby Lisa Pilgram and Khaled El Emam. |
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| 246 | 1 |iAt head of title: |aProceedings of Statistics Canada Symposium 2024 : |bthe future of official statistics |
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| 264 | 1|a[Ottawa] : |bStatistics Canada = Statistique Canada, |cSeptember 8, 2025. |
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| 300 | |a1 online resource (11 unnumbered pages) : |billustrations, graphs. |
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| 336 | |atext|btxt|2rdacontent |
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| 337 | |acomputer|bc|2rdamedia |
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| 338 | |aonline resource|bcr|2rdacarrier |
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| 490 | 1 |a[Statistics Canada international symposium series : proceedings], |x1709-8211 |
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| 500 | |aTitle from cover. |
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| 500 | |aIssued also in French under title: Applications pratiques de la génération de données synthétiques. |
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| 504 | |aIncludes bibliographical references. |
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| 520 | 3 |a"Synthetic data generation (SDG) is increasingly applied across sectors for privacy-preserving data sharing, de-biasing and augmentation. Each use case requires a distinct set of evaluation metrics that must account for the stochasticity of the SDG process: membership and attribute disclosure vulnerability are critical for privacy; fidelity and downstream task utility apply even more broadly; and fairness and diversity are relevant for de-biasing and augmentation, respectively. Presenting accumulated evidence and through exemplar case studies, it is shown that SDG can perform well across many of these use cases and key learnings from our experiences with synthetic health data are shared"--Abstract, page [2]. |
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| 650 | 0|aData privacy|zCanada. |
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| 650 | 0|aData mining|xStatistical methods|zCanada. |
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| 651 | 0|aCanada|vStatistics, Medical. |
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| 710 | 2 |aStatistics Canada, |eissuing body. |
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| 775 | 08|tApplications pratiques de la génération de données synthétiques / |w(CaOODSP)9.965839 |
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| 830 | #0|aStatistics Canada international symposium series - proceedings,|x1709-8211|w(CaOODSP)9.505681 |
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| 856 | 40|qPDF|s395 KB|uhttps://publications.gc.ca/collections/collection_2026/statcan/11-522-x/CS11-522-2024-1-1-eng.pdf |
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| 986 | |a11-522-X |
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