DocumentCode :
2179295
Title :
A novel decision tree algorithm on the class division degree of attribute
Author :
Wang, Jianjun
Author_Institution :
Sch. of Comput. Sci. & Eng., Changshu Inst. of Technol., Changshu, China
fYear :
2011
fDate :
9-11 Sept. 2011
Firstpage :
2454
Lastpage :
2457
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;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electronics, Communications and Control (ICECC), 2011 International Conference on
Conference_Location :
Zhejiang
Print_ISBN :
978-1-4577-0320-1
Type :
conf
DOI :
10.1109/ICECC.2011.6066682
Filename :
6066682
Link To Document :
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