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Branch-and-Cut versus Cut-and-Branch Algorithms for Cell Suppression

机译:用于细胞抑制的分支剪切与剪切分支算法

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This paper discusses several techniques to apply Cell Suppression Methodology to protect private information when publishing tabular data. All techniques are exact algorithms to find optimal suppression patterns, but they can also be used as heuristic approaches to find good suppression patterns. One of the technique is the branch-and-cut algorithm described in Fischetti and Salazar (2000). A variant of this technique is presented in this paper with the name cut-and-branch algorithm. The paper discusses advantages and disadvantages of the cut-and-branch algorithm when compared to the branch-and-cut algorithm, and shows computational results on a set of real world instances. The computer implementation has been done using only free and open-source libraries. The paper concludes with an exact approach to apply Cell Suppression on tabular data where the response variable is discrete (like in a frequency table).
机译:本文讨论了几种在发布表格数据时应用单元格抑制方法来保护私人信息的技术。所有技术都是找到最佳抑制模式的精确算法,但是它们也可以用作启发式方法来找到良好的抑制模式。一种技术是Fischetti和Salazar(2000)中描述的分支剪切算法。本文提出了该技术的一种变体,名称为剪切和分支算法。本文讨论了与分支剪切算法相比,剪切分支算法的优缺点,并显示了一组实际实例的计算结果。仅使用免费和开放源代码库即可完成计算机实现。本文以一种精确的方法作为结束,该方法将单元抑制应用于响应变量是离散的表格数据(如频率表中)。

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