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《Journal of Binzhou University》 2008-03
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Choose Root Tree Algorithm Based TAN Classifiers

WANG Jian-lin,WANG Xue-ling(Department of Computer Science,Binzhou University,Binzhou 256603,China)  
In this paper,by the choice of node root according to the dependence among attributes,a new TAN algorithm is proposed,CRTAN(Choose Root Tree Augmented Naive Bayes).Finally,we carry out experiments to evaluate the CRTAN and compare it with basic TAN and Naive Bayes.The experimental results show that the accuracy of the CRTAN is much higher than that of basic TAN and Naive Bayes on the datasets.
【CateGory Index】: TP311.13
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