… decision tree is presented in this paper. This method uses the feature index and shape, spectral,
texture of the image as a fea ture set to establish the decision tree … it as the decision rule …

… In this paper, SVM, K-Nearest Neighbor, Decision Tree C4.5 and Artificial Neural Network
were applied to identify cancer patients and normal individuals using the concentrations of 6 …

… Thirdly,it demonstrated the algorithms of decision tree and carried on mining and
analyzing of data in multi-dimensional data set making use of the decision tree of Microsoft.Fourthly,…

… an appropriate CURE algorithm and C4.5 decision tree method is adopted to establish a new
… prospect,and the C4.5 decision tree finds understandable links between these clusters and …

… of adaptation data and indirectly restructured the decision tree of the baseline.Experimental …
led by the difference between the decision tree structures of training data and testing data. …

… basis of "decision trees" was used for computing the rate of miscarriage justice by original
test and cross-validation, and the discrimination effects of "decision trees" were evaluated too. …

… of speech emotion recognition was proposed based on decision tree and an improved
SVM mixed model. This method can avoid the tree unbounded generalization error, more the …

… fires by the vegetation index CART decision tree methods using the wide coverage image of
… The results showed that the decision tree classification method based on CART algorithms …

… The accuracy of the classification results of the TWDTW and decision tree methods was … of
the decision tree method. [Conclusion] Compared with the decision tree classification method, …

… or faulty data of catenary, ID3 decision tree algorithm is used to mine and analyze the
processed data samples to build a decision tree model. Through the decision tree, the main factors …