Title :
A novel decision tree algorithm on the class division degree of attribute
Author_Institution :
Sch. of Comput. Sci. & Eng., Changshu Inst. of Technol., Changshu, China
Abstract :
In the process of constructing a decision tree, the criteria of selecting splitting attributes will influence the efficiency of classification. We present Class division degree decision tree method, a new concept based on Category factor which explains the classification ability of attributes set on the sample space. The experiment shows that the algorithm has better efficiency of building the decision tree.
Keywords :
data mining; decision trees; pattern classification; attribute class division degree; category factor; class division degree decision tree method; decision tree algorithm; splitting attributes selection; Algorithm design and analysis; Classification algorithms; Complexity theory; Data mining; Decision trees; Educational institutions; Prediction algorithms; Category factor; Class division degree; Decision tree; Optimization coefficient;
Conference_Titel :
Electronics, Communications and Control (ICECC), 2011 International Conference on
Conference_Location :
Zhejiang
Print_ISBN :
978-1-4577-0320-1
DOI :
10.1109/ICECC.2011.6066682
