基于关联规则算法的医疗数据挖掘
首发时间:2008-09-02
摘要:本文通过研究基于两阶段频集思想的Apriori算法,针对Apriori算法的性能瓶颈提出了改进的Apriori算法,利用改进的Apriori算法对乳腺疾病数据进行挖掘,使用SQL Server 2005数据挖掘工具,主要建立肿瘤复发和其他属性间的关联规则。挖掘结果证明了关联规则算法在医疗数据挖掘中的有效性。
关键词: 数据挖掘 Apriori算法 改进的Apriori算法 乳腺疾病
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Medical Data Mining Based on Association Rules
Abstract:This paper studies on two-step frequent itemset Apriori algorithm of Association Rules. Because of Apriori algorithm’sdisadvantages, it brings forword improving method called Improving Apriori algorithm. Based on Improving Apriori algorithm, it provides us the data mining for breast-cancers. Using SQL Server 2005 data mining tools, it mainly sets up the relationship between breast-cancer recurrences and other attributes. The results of data mining shows that Association Rules in the medical data mining has effectiveness.
Keywords: data mining Apriori algorithm Improving Apriori algorith breast-cancer
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