The essential characters of continuous attribute discretization are analyzed based on Rough Set Theory. The idea that meeting for requirements of decision table in Rough Set and also the structure optimization of clustering algorithm is presented.
基于粗糙集理论,研究连续属性离散化问题的本质特点,提出粗糙集指标衡量和优化算法结构相统一的离散化思想,设计通用的离散化方法模型。
参考来源 - 粗糙集连续属性离散化模型研究与应用要点分析·2,447,543篇论文数据，部分数据来源于NoteExpress
改进了连续属性离散化的贪心算法。
Improve a greedy algorithm for discretization of continuous attribute.
基于多连续属性离散化的数据预处理方法。
A data preprocessing method based on multi continuous attribute discretization.
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.
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