| 一种基于聚类分析与关联规则的联合挖掘算法 |
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| 引用本文： | 廖建军,郭秋萍,焦允,李筱宁.一种基于聚类分析与关联规则的联合挖掘算法[J].电脑学习,2009(3):20-21. |
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| 作者姓名： | 廖建军 郭秋萍 焦允 李筱宁 |
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| 作者单位： | 郑州航空工业管理学院信息科学学院,河南,郑州,450015 |
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| 基金项目： | 河南省教育厅自然科学研究计划项目 |
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| 摘 要： | 本文分析了基于关联规则的Apriori算法及其存在的缺陷，提出了一种将聚类分析和关联规则相结合的联合数据挖掘算法。在大项集数量相等时，联合挖掘算法明显优于Apriori算法。
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| 关 键 词： | 数据挖掘 关联规则 聚类分析 联合挖掘 |
Joint Mining Algorithm based on Clustering Analysis and Association Rules |
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| Liao Jianjun,Guo Qiuping,Jiao Yun,Li Xiaoning.Joint Mining Algorithm based on Clustering Analysis and Association Rules[J].Computer Study,2009(3):20-21. |
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| Authors: | Liao Jianjun Guo Qiuping Jiao Yun Li Xiaoning |
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| Affiliation: | Liao Jianjun, Guo Qiuping, Jiao Yun, Li Xiaoning |
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| Abstract: | The paper analyzes Apriori algorithm based on the association rules and points out its defects. On this basis, it presents a joint data mining algorithm which combines clustering analysis with association rules. While the number of large itemsets is equal, the joint mining algorithm is superior to Apriori algorithm. |
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| Keywords: | Data Mining Association Rule Clustering Analysis Joint Ming |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
