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SPPOLAP: Computing Privacy-Preserving OLAP Data Cubes Effectively and Efficiently Algorithms, Complexity Analysis and Experimental Evaluation
This paper provides significant contributions in the line of the so-called privacy-preserving OLAP research area, via extending the previous SPPOLAP’s results provided recently. SPPOLAP is a state-of-the-art algorithm whose main goal consists in computing privacy-preserving OLAP data cubes effective...
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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The Author(s). Published by Elsevier B.V.
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7531923/ https://www.ncbi.nlm.nih.gov/pubmed/33042320 http://dx.doi.org/10.1016/j.procs.2020.09.337 |