| 基于关联规则的医学图像分类算法 |
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| 引用本文： | 武园园,宋余庆,朱玉全. 基于关联规则的医学图像分类算法[J]. 计算机工程与设计, 2008, 29(12) |
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| 作者姓名： | 武园园 宋余庆 朱玉全 |
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| 作者单位： | 江苏大学,计算机科学与通信工程学院,江苏,镇江,212013 |
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| 摘 要： | 针对医学图像数据的特殊性,提出了一种适合挖掘大量医学图像数据的关联分类算法.该算法以频繁模式树为基础,通过引入双支持度,排除一部分对分类无意义且存在干扰的项,以提高分类正确率.实验结果表明,当用于医学图像分类时,该算法可以取得同样的基于关联规则的分类算法CMAR更高的执行效率及更好的分类效果.
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| 关 键 词： | 数据挖掘 关联规则 分类 频繁模式树 医学图像 |
Efficient medical image classification algorithm based on association rules |
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| WU Yuan-yuan,SONG Yu-qing,ZHU Yu-quan. Efficient medical image classification algorithm based on association rules[J]. Computer Engineering and Design, 2008, 29(12) |
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| Authors: | WU Yuan-yuan SONG Yu-qing ZHU Yu-quan |
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| Affiliation: | WU Yuan-yuan,SONG Yu-qing,ZHU Yu-quan(School of Computer Science , Telecommunications Engineering,Jiangsu University,Zhenjiang 212013,China) |
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| Abstract: | According to the characteristic of medical image dataset,new associative classification algorithm is introduced which suitable for mining huge medical image dataset.The new algorithm is based on FP-growth,which introduce double-support to eliminate items which interfere with classification.The experiments show that when used for medical image classification the method has better efficiency and classification accuracy than other reported associative classification methods. |
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| Keywords: | data mining associative rules classification FP-growth medical image |
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