目前，数值型属性的关联规则已经成为该领域的研究热点之一。
However, association rule regard to quantitative attribute has become one of research hotspot in this field.
本文基于数值型关联规则的理论，用一种数理统计的方法进行连续属性的离散化。
Based on the theory of quantitative association rules, the numeric data is divided into intervals with statistical method.
数值型关联规则的算法大多是将多值属性关联规则挖掘问题转化为布尔型关联规则挖掘问题，而连续属性的离散化是数值型关联规则的核心问题。
Most quantitative association rules transform mining association rules of numeric property into boolean property, and the kernel problem is to divide the numeric data into intervals.
应用推荐