Enumeration of Minimal Hitting Sets Parameterized by Treewidth

Batya Kenig, Dan Shlomo Mizrahi
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Abstract

Enumerating the minimal hitting sets of a hypergraph is a problem which arises in many data management applications that include constraint mining, discovering unique column combinations, and enumerating database repairs. Previously, Eiter et al. showed that the minimal hitting sets of an $n$-vertex hypergraph, with treewidth $w$, can be enumerated with delay $O^*(n^{w})$ (ignoring polynomial factors), with space requirements that scale with the output size. We improve this to fixed-parameter-linear delay, following an FPT preprocessing phase. The memory consumption of our algorithm is exponential with respect to the treewidth of the hypergraph.
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以树宽为参数的最小命中集枚举
枚举超图的最小命中集是一个在许多数据管理应用中都会出现的问题,这些应用包括约束挖掘、发现唯一列组合以及枚举数据库修复等。此前,Eiter 等人的研究表明,可以用 $O^*(n^{w})$(忽略多项式系数)的延迟枚举树宽为 $w$ 的 $n$ 顶点超图的最小命中集,其空间需求随输出大小而缩放。在 FPT 预处理阶段之后,我们将其改进为固定参数线性延迟。我们算法的内存消耗与超图的树宽呈指数关系。
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