由于个性属性采用整型数值描述, 单纯地 基于布尔关联规则(Boolean Association Rules ,BAR) 的分析方法还无法实现个性属性间关系的发现.
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It is proved that every WRR can induce a Boolean association rules as its support rule.4.
证明了任意一个弱比例规则都可诱导出一个布尔关联规则作为其支撑规则。
参考来源 - 关于弱比例规则的挖掘及推理研究·2,447,543篇论文数据,部分数据来源于NoteExpress
Discovering association rules is an important data mining problem. While discovering Quantitative association rules differs from traditional Boolean association rules.
关联规则的发现是数据挖掘的一个重要方面,而数量关联规则的发现不同于传统的布尔型关联规则。
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.
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。
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