| 频繁项集挖掘算法分析与比较 |
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| 引用本文： | 黄澍庄.频繁项集挖掘算法分析与比较[J].德州学院学报,2005,21(6):65-71. |
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| 作者姓名： | 黄澍庄 |
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| 作者单位： | 钦州师范高等专科学校计算机系,广西,钦州,535000 |
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| 摘 要： | 数据挖掘是目前数据库界广泛研究的课题,而频繁项集的挖掘是关联规则挖掘、序列模式挖掘、相关分析挖掘、聚类模式挖掘和回归模式挖掘等问题中的关键步骤.该文介绍了频繁项集挖掘算法的相关概念,对目前频繁项集挖掘典型算法进行了分析和比较,并作出了适当的评价.
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| 关 键 词： | 数据挖掘 关联规则 频繁项集 挖掘算法 |
| 文章编号： | 1004-9444（2005）06-0064-07 |
| 收稿时间： | 2005-06-01 |
| 修稿时间： | 2005年6月1日 |
An Analysis and Comparison of Frequent Itemsets Mining Algorithm |
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| HUANG Shu-zhuang.An Analysis and Comparison of Frequent Itemsets Mining Algorithm[J].Journal of Dezhou University,2005,21(6):65-71. |
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| Authors: | HUANG Shu-zhuang |
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| Institution: | Department of Computer,Qinzhou Teachers College, Qinzhou Guangxi 535000,China |
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| Abstract: | Nowadays data mining is a hot issue in the field of database research, and mining frequent itemsets is a key stage in many data mining problems, such as association rules mining, sequential patterns mining, correlation analysis mining, clustering patterns mining, regression patterns mining, and so on. In this paper the author introduces the corresponding concepts of frequent itemsets mining problem, and then analyzes and compares and evaluates current common approaches according to the generation mechanism of frequent itemsets. |
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| Keywords: | data mining association rules frequent itemsets mining algorithm |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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