提出了一种基于微粒群优化(PSO)算法的连续属性离散化方法，很好的解决了建模过程中连续属性的离散化问题。
An algorithm for discretization based on Particle swarm optimization (PSO) is presented, which can settle the problem of continuous attributes discretization in systema modeling perfectly.
应用聚类方法研究了数量关联规则提取过程中的连续属性离散化问题。
This paper presents a cluster method for discretization in the processing of mining quantitative association rules.
针对这些问题，提出了一种基于属性重要度的整体连续属性离散化方法。
Regarding this, this paper puts forward the discrete method of the overall continuous attributes which is based on the importance of attributes.
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