| 多维数量关联规则聚类挖掘研究 |
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| 引用本文： | 刘振名,赵可新,刘振亮.多维数量关联规则聚类挖掘研究[J].煤炭技术,2011,30(6). |
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| 作者姓名： | 刘振名 赵可新 刘振亮 |
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| 作者单位： | 1. 河北工程技术高等专科学校,河北沧州,061001
2. 沧州广播电视大学黄骅分校教育技术中心,河北黄骅,061100 |
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| 摘 要： | 根据旅游数据的特殊性,提出了多维数量关联规则聚类算法(MDQARC),并从挖掘库的生成、数值属性的离散化以及关联规则挖掘和规则聚类等方面设计了有效的算法,最后通过实验将MDQARC算法与C4.5算法进行了比较,证明了该算法可以提高运行效率。
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| 关 键 词： | 数据挖掘 数量关联规则 算法 |
Research of Multidimensional Clustering Mining Quantitative Association Rules |
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| LIU Zhen-ming,ZHAO Ke-xin,LIU Zhen-liang.Research of Multidimensional Clustering Mining Quantitative Association Rules[J].Coal Technology,2011,30(6). |
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| Authors: | LIU Zhen-ming ZHAO Ke-xin LIU Zhen-liang |
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| Affiliation: | LIU Zhen-ming1,ZHAO Ke-xin1,LIU Zhen-liang2(1.Hebei Engineering and Technical College,Cangzhou 061001,China,2.Huanghua Cangzhou Radio and Television University CampUseS,Huanghua 061100,China) |
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| Abstract: | According to the particularity of tourism data,the multidimensional clustering algorithm of association rules is proposed(MDQARC).And design effective algorithms for the mining library generating,discretization of numerical attributes,rules of association mining and clustering and other aspects.Finally MDQARC algorithm and C4.5 algorithm are compared through experiments,show that the algorithm can improve operational efficiency. |
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| Keywords: | data ming quantitative association rule algorithm |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
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