SPPOLAP: Computing Privacy-Preserving OLAP Data Cubes Effectively and Efficiently Algorithms, Complexity Analysis and Experimental Evaluation.
- DOI
- 10.1016/j.procs.2020.09.337
- Published
- 2020
- Container
- Procedia computer science
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1016/j.procs.2020.09.337,
title = {SPPOLAP: Computing Privacy-Preserving OLAP Data Cubes Effectively and Efficiently Algorithms, Complexity Analysis and Experimental Evaluation.},
author = {Cuzzocrea A},
year = {2020},
journal = {Procedia computer science},
doi = {10.1016/j.procs.2020.09.337},
url = {https://doi.org/10.1016/j.procs.2020.09.337}
}RIS
TY - JOUR TI - SPPOLAP: Computing Privacy-Preserving OLAP Data Cubes Effectively and Efficiently Algorithms, Complexity Analysis and Experimental Evaluation. AU - Cuzzocrea A PY - 2020 JO - Procedia computer science DO - 10.1016/j.procs.2020.09.337 UR - https://doi.org/10.1016/j.procs.2020.09.337 ER -
APA
A, C. (2020). SPPOLAP: Computing Privacy-Preserving OLAP Data Cubes Effectively and Efficiently Algorithms, Complexity Analysis and Experimental Evaluation.. Procedia computer science. https://doi.org/10.1016/j.procs.2020.09.337
Source records
- pubmed · retrieved 2026-09-25T07:34:13.019Z
- europe-pmc · retrieved 2026-09-25T07:34:13.031Z
- hal · retrieved 2026-09-25T07:34:13.093Z