正负关联规则挖掘方法的改进及其应用  

Improvement of Positive and Negative Association Rule Mining Method and Its Application

作　　者：梁宝华[1] 蔡敏[1] 

机构地区：[1]巢湖学院计算机科学与技术系,巢湖238000

出　　处：《计算机工程》2010年第16期44-46,共3页Computer Engineering

基　　金：安徽省自然科学基金资助项目(KJ2008A35ZC)

摘　　要：传统挖掘方法容易遗漏由频率高的项目集构成的规则,且其作用度取值范围不够规范。针对该问题,提出一种基于对比影响度的正负关联挖掘方法,可使量化结果控制在[-1,1]间,有效挖掘正负关联规则。将该方法应用到安徽巢湖地区性患病率高的食道癌病例数据关联规则的知识发现中,能挖掘出患食道癌的相关潜在因素,并给出对应预防措施。Traditional mining method is easy to omit rules which is comprised by high frequent item set and it is non-standard for function degree value range.Aiming at these problem,this paper presents a positive and negative association rule mining method based on comparison influence degree.It can control the quantized result between [-1,1],effectively mine positive and negative association rule.Application of this method into esophagus cancer case data which is a high incidence in Chaohu of Anhui,it can mine some potential relevant factors and give some corresponding measures to guard against esophagus cancer.

关 键 词：正负关联规则 对比影响度 食道癌 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]