一种改进的冗余规则修剪方法  

An Improved Method for Pruning Redundant Rules

作　　者：杨越越[1] 翟延富[1] 董祥军[1] 李刚[1] 郭跃斌[1] 

机构地区：[1]山东轻工业学院信息科学与技术学院,济南250353

出　　处：《郑州大学学报（理学版）》2007年第4期134-136,140,共4页Journal of Zhengzhou University:Natural Science Edition

基　　金：山东省优秀中青年科学家奖励基金项目;编号2006BS01017;山东省教育厅科技计划项目;编号J06N06

摘　　要：在修剪冗余规则已有算法的基础上,引入相关性这一概念,提出了一种改进的冗余规则修剪方法.实验结果证明该算法能够有效地减少关联规则的数量.Heart disease has become one of the leading causes of death all over the world, so forecast and initial diagnosis of heart disease is very important to human health. Fuzzy cluster cyclic iteration model is adopted to analyze and deal with cardiogram, in order to provide doctors with assistant means to forecast and initially diagnose heart disease. Fuzzy cluster cyclic iteration model is provided in the system. The fuzzy relation and correlative degree are analyzed between symptoms and diseases. Actual application examples and performance estimation are provided.

关 键 词：数据挖掘 关联规则 相关性 冗余性 修剪 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]