| 基于Rough Set带结论域的关联规则挖掘 |
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| 引用本文： | 童舟,罗可. 基于Rough Set带结论域的关联规则挖掘[J]. 计算机工程与应用, 2006, 42(25): 166-169 |
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| 作者姓名： | 童舟 罗可 |
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| 作者单位： | 长沙理工大学计算机与通信工程学院,长沙,410076 |
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| 基金项目： | 国家自然科学基金;湖南省自然科学基金;湖南省教育厅资助项目 |
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| 摘 要： | 论文构建了一种基于RoughSet(RS)带结论域的强关联规则挖掘模型,采用约简决策表和改进的Apriori算法来挖掘关联规则,提高了关联规则的挖掘效率和挖掘质量,提出并实现了带结论域的关联规则挖掘的解决方案。
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| 关 键 词： | 粗糙集 关联规则 约简 结论域 数据挖掘 |
| 文章编号： | 1002-8331-（2006）25-0166-04 |
| 收稿时间： | 2005-12-01 |
| 修稿时间： | 2005-12-01 |
Mining of Association Rules with Decision Attributes Based on Rough Set |
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| TONG Zhou,LUO Ke. Mining of Association Rules with Decision Attributes Based on Rough Set[J]. Computer Engineering and Applications, 2006, 42(25): 166-169 |
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| Authors: | TONG Zhou LUO Ke |
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| Abstract: | This paper constructs a model of mining strong association rules with decision attributes which is based on Rough Set,adopts the reduction of decision table to build association rules to increase the efficiency and correct efficiency of mining association rules,provides a settlement of mining association rules with decision attributes. |
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| Keywords: | Rough Set association rule reduction decision attribute data mining |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
