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Anonymisation of geographical distance matrices via Lipschitz embedding
BACKGROUND: Anonymisation of spatially referenced data has received increasing attention in recent years. Whereas the research focus has been on the anonymisation of point locations, the disclosure risk arising from the publishing of inter-point distances and corresponding anonymisation methods have...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2016
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4704375/ https://www.ncbi.nlm.nih.gov/pubmed/26739310 http://dx.doi.org/10.1186/s12942-015-0031-7 |