| 摘要: |
| 挖掘关联规则是数据挖掘研究的一个重要方面．文章在分析其基本模型和研究多维标度基本性质的基础上，提出一个新的基于多维标度的挖掘关联规则算法．该算法以数据项间的关联度量为依据，将各个数据项投影到多维空间上，进行降维处理，最后将数据项集间的关联关系以可视结果提供给用户. |
| 关键词: 数据挖掘 知识发现 关联规则 多维标度法 可视 |
| DOI： |
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| 基金项目:本文研究得到新疆教委课题;;江苏省自然科学基金资助. |
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| A Multidimensional Scaling Based Algorithm for Fast Mining Association Rules |
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XIAO Li,JIN Yuan ping,XU Hong bing,WANG Neng bin
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| Abstract: |
| Mining association rules is a major aspect of data mining research. In this paper, on the basis of analyzing the basic properties of the problem of mining association rules and multidimensional scaling, the authors propose a new multidimensional scaling based algorithm for fast mining association rules, which projects each data item on multidimensional space according to the association scaling between data items, and then reduces the dimensions of the space. Finally, the algorithm generates association rul... |
| Key words: Data mining knowledge discovery association rules multidimensional scaling technique visualization |
