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On Construction of Partial Association Rules

机译:论部分关联规则的构建

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This paper is devoted to the study of approximate algorithms for minimization of partial association rule length. It is shown that under some natural assumptions on the class NP, a greedy algorithm is close to the best polynomial approximate algorithms for solving of this NP-hard problem. The paper contains various bounds on precision of the greedy algorithm, bounds on minimal length of rules based on an information obtained during greedy algorithm work, and results of the study of association rules for the most part of binary information systems.
机译:本文致力于最小化部分关联规则长度的近似算法的研究。结果表明,在关于NP类的一些自然假设下,贪心算法接近于解决该NP难问题的最佳多项式近似算法。本文包含贪婪算法精度的各种界限,基于贪婪算法工作中获得的信息的最小规则长度的界限以及大部分二进制信息系统的关联规则的研究结果。

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