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《Journal of tianjin University of Technology》 2007-01
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Coronary heart disease data classification method based on rough set

LI Qian,ZHENG Gang(Shool of Computer Science and Engineering,Tianjin University of Technology,Tianjin 300191,China)  
When the dimension of data is increased,it is difficult to use the classical rough set.Being dead against the question of importance calculation on the high dimension data,the paper brings forward a new method.It calculates the importance of every qualification attribute first,and then presenta new classification rule acquire new method for the high dimension coronary heart disease data based on the gotten importance.After the idea is applied on real data,the final classification rules are deducted,and the final goal of the exact classification of coronary heart disease data is reached.
【Fund】: 天津市高等学校科技发展基金(20030621)
【CateGory Index】: TP18
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