| 基于关联规则算法的医疗数据挖掘 |
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| 引用本文： | 胡瑞娟,李岩芳,何昀.基于关联规则算法的医疗数据挖掘[J].长春理工大学学报,2009,32(2):282-284. |
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| 作者姓名： | 胡瑞娟 李岩芳 何昀 |
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| 作者单位： | 胡瑞娟,李岩芳(长春理工大学,计算机科学技术学院,长春,130022);何昀(空军航空大学,长春,130022)
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| 摘 要： | 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SQLServer2005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.
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| 关 键 词： | 数据挖掘 Apriori算法 改进的Apriori算法 乳腺疾病 |
Medical Data Mining Based on Association Rules |
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| HU Ruijuan,LI Yanfang,HE Yun.Medical Data Mining Based on Association Rules[J].Journal of Changchun University of Science and Technology,2009,32(2):282-284. |
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| Authors: | HU Ruijuan LI Yanfang HE Yun |
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| Affiliation: | HU Ruijuan1,LI Yanfang1,HE Yun2 (1.School of Computer Science of Technology,Changchun University of Science , Technology,Changchun 130022,2.Aviation University of Air Force,Changchun 130022) |
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| Abstract: | This paper studies on two-step frequent itemset Apriori algorithm of Association Rules. Based on of Apriori algorithm'sdisadvantages, it brings forword improving method called Improving Apriori algorithm. Using this Improving Apriori algorithm, it provides us the data mining for breast-cancers by 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 e... |
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| Keywords: | data mining Apriori algorithm Improving Apriori algorith breast-cancer |
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