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改进的加权关联规则挖掘
  • 期刊名称：广西大学学报:自然科学版
  • 时间：0
  • 页码：11-13
  • 语言：中文
  • 分类：TP311[自动化与计算机技术—计算机软件与理论;自动化与计算机技术—计算机科学与技术]
  • 作者机构：[1]中国计量学院计量与计算科学研究所,浙江杭州310018
  • 相关基金：国家自然基金重大计划项目（90818020）;国家自然科学基金资助项目（60873206）;浙江省自然科学基金项目（Y7080235）
  • 相关项目：基于逼近理论的误差可控计算与可信算法研究
作者： 曹飞龙|溥冬梅|
关键词： 数据挖掘, 关联规则, 决策支持系统, data mining, association rules, decision support systems
中文摘要：

文章给出了改进的加权关联规则的定义,包括加权关联规则的支持度、信任度、有意义度及支持界等。设计了一套挖掘加权关联规则的行之有效的算法,并通过例子说明了算法的有效性。

英文摘要：

Concepts of improved weighted association rules,including support count,confidence count,interesting count and support bound,are presented.An effective alogorithm for mining weighted association rules is designed and explained by a simple example.

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