利用决策树算法对乳腺疾病数据进行挖掘
挖掘结果证明了决策树算法在医疗数据挖掘中的有效性
针对ID3算法的不足提出了决策树的修剪方法
) Abstract: This paper studies on ID3 algorithm of decision tree
Because of ID3 algorithm’sdisadvantages, it brings forword pruning methods of decision tree
Based on decision tree, it provides us the data mining for breast-cancers
Using SQL Server 2005 data mining tools, it mainly predicts the situation of breast- cancer recurrences
The results of data mining shows that the decision tree algorithm in the medical data mining has effectiveness
It can provide help for diagnosis for doctors
Keywords: data mining;ID3 algorithm;pruning methods of decision tree;breast-cancer 下载PDF阅读器 PDF全文下载: 初稿 ( 235 ) 作者简介: 通信联系人: 【收录情况】 中国科技论文在线: 胡瑞娟
基于决策树的医疗数据挖掘[EB/OL]
北京:中国科技论文在线
) 摘要: 本文通过研究决策树的ID3算法
使用SQL Server 2005数据挖掘工具
ID3算法
关键词: 数据挖掘
决策树修剪
乳腺疾病 Hu Ruijuan * ( ChangChun University of Science and Technology
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