基于查询工作负载建模和分析的隐私保护OLAP:创新理论和定理

Proceedings of the 35th International Conference on Scientific and Statistical Database Management Pub Date : 2023-07-10 DOI:10.1145/3603719.3603735

A. Cuzzocrea

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引用次数: 0

摘要

本文在一篇通过建模和分析查询工作负载来计算保护隐私的OLAP多维数据集的最新论文中提出了创新的理论和定理。这项工作通过设计一个坚实的理论框架来为未来的优化机会做出贡献。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Privacy-Preserving OLAP via Modeling and Analysis of Query Workloads: Innovative Theories and Theorems

This paper proposes innovative theories and theorems in the context of a state-of-the-art paper that computes privacy-preserving OLAP cubes via modeling and analyzing query workloads. The work contributes to actual literature by devising a solid theoretical framework that can be used for future optimization opportunities.

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Proceedings of the 35th International Conference on Scientific and Statistical Database Management

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