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Comparison of Heuristics for Optimization of Association Rules

机译:关联规则优化的启发式方法比较

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摘要

In this paper, seven greedy heuristics for construction of association rules are compared from the point of view of the length and coverage of constructed rules. The obtained rules are compared also with optimal ones constructed by dynamic programming algorithms. The average relative difference between length of rules constructed by the best heuristic and minimum length of rules is at most 4%. The same situation is with coverage.
机译:本文从构造规则的长度和覆盖范围的角度比较了构建规则的七个贪婪启发式方法。还将获得的规则与动态规划算法构建的最优规则进行比较。由最佳试探法构造的规则长度与最小规则长度之间的平均相对差最大为4%。覆盖范围也相同。

著录项

  • 来源
    《Fundamenta Informaticae》 |2019年第1期|1-14|共14页
  • 作者单位

    King Abdullah Univ Sci & Technol, Comp Elect & Math Sci & Engn Div, Thuwal 239556900, Saudi Arabia;

    King Abdullah Univ Sci & Technol, Comp Elect & Math Sci & Engn Div, Thuwal 239556900, Saudi Arabia;

    King Abdullah Univ Sci & Technol, Comp Elect & Math Sci & Engn Div, Thuwal 239556900, Saudi Arabia;

    Univ Silesia Katowice, Inst Comp Sci, 39 Bedzinska St, PL-41200 Sosnowiec, Poland;

    Univ Silesia Katowice, Inst Comp Sci, 39 Bedzinska St, PL-41200 Sosnowiec, Poland;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Greedy heuristics; association rules; decision rules; dynamic programming; rough sets;

    机译:贪婪启发式;关联规则;决策规则;动态规划;粗糙集;

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