| 聚类与关联规则挖掘进行结合的研究 |
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| 引用本文： | 秦福高,孙悦娟. 聚类与关联规则挖掘进行结合的研究[J]. 数字社区&智能家居, 2011, 0(14) |
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| 作者姓名： | 秦福高 孙悦娟 |
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| 作者单位： | 常州工学院计算机信息工程学院;常州工学院教务处; |
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| 摘 要： | 聚类及关联规则挖掘是数据挖掘领域中的两种重要方法。先使用聚类法将比较接近的数据分为同一簇,再分别对已经减少了数据量的每一簇作关联规则挖掘,这样,结合了两种方法的优点,改进了仅使用单一方法的缺点,能够获得更多的信息,有助于更加容易且有效地分析数据。
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| 关 键 词： | 聚类 关联规则 缺点 结合 数据挖掘 |
Research of Mining Association Rules on Individual Cluster |
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| QIN Fu-gao,SUN Yue-juan. Research of Mining Association Rules on Individual Cluster[J]. Digital Community & Smart Home, 2011, 0(14) |
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| Authors: | QIN Fu-gao SUN Yue-juan |
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| Affiliation: | QIN Fu-gao1,SUN Yue-juan2(1.School of Computer & Information Engineering,Changzhou 213002,China,2.Teaching Affairs Office,China) |
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| Abstract: | Clustering and association rules mining are two important methods in data mining.First,the data set is divided into several clusters by clustering algorithm.Then we find out some important rules from each cluster by association rules mining.In this way,combining these two approachs can improve the disadvantages of adopting clustering or association rules mining alone.Therefore,more information will be mined and it will help users to analyze data more easily and efficiently. |
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| Keywords: | clustering association rules disadvantage combination data mining |
| 本文献已被 CNKI 等数据库收录！ |
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