| 基于综合度量的关联规则挖掘算法 |
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| 引用本文： | 陆晶,赛英.基于综合度量的关联规则挖掘算法[J].计算机工程,2004,30(22):89-90,131. |
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| 作者姓名： | 陆晶 赛英 |
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| 作者单位： | 山东财政学院计算信息工程系,济南,250014 |
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| 基金项目： | 山东省教育厅科技计划资助项目(J02F06) |
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| 摘 要： | 从确定性，有用性，简洁性和新奇性4个方面对规则进行综合度量，给出了规则长度和兴趣度约束的定义，在传统算法基础上提出了基于综合度量的关联规则挖掘算法，使关联规则的挖掘质量得到提高。
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| 关 键 词： | 数据库 数据挖掘 关联规则 关联规则挖掘算法 |
| 文章编号： | 1000-3428(2004)22-0089-02 |
Mining Association Rules Based on Comprehensive Measures |
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| LU Jing,SAI Ying.Mining Association Rules Based on Comprehensive Measures[J].Computer Engineering,2004,30(22):89-90,131. |
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| Authors: | LU Jing SAI Ying |
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| Abstract: | This paper comprehensively measures rules from four aspects, i.e. certainty, utility, novelty and simplicity. After defining the length and interest measures of rules, It proposes an approach to mining association rules based on comprehensive measures. Thus the quality of the mined association rules is greatly improved. |
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| Keywords: | Data mining Association rules Interest measure Quality |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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