基于多维标度的快速挖掘关联规则算法

A Multidimensional Scaling Based Algorithm for Fast Mining Association Rules

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。

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 rules more focused and presents them in a visual style.