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Implementing Quantity Based Aggregation Control for Cadastral Databases

机译:对地籍数据库实施基于数量的聚集控制

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The quantity based aggregation (QBA) problem is closely related to the classical inference problem found in databases, and usually discussed with it. In [1], [2] we proposed a model to enforce QBA in a cadastral database. The main purpose of this paper is to 1) describe implementation details of the algorithm, 2) present the algorithm's benchmark results, and 3) provide a discussion about the trade-off between confidentiality and availability, and 4) describe a prototype developed for QBA enforcement in a cadastral database.
机译:基于数量的聚合(QBA)问题与数据库中发现的经典推理问题密切相关,通常会与之讨论。在[1],[2]中,我们提出了在地籍数据库中实施QBA的模型。本文的主要目的是:1)描述算法的实现细节,2)给出算法的基准测试结果,3)提供有关机密性和可用性之间权衡的讨论,4)描述为QBA开发的原型在地籍数据库中执行。

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