Title :
An Improved Decision Tree Algorithm on Bayesian
Author :
Xu Jing ; Liu Xumin ; Guan Yong ; Dong Rui
Author_Institution :
Inf. Eng. Coll., Capital Normal Univ., Beijing
Abstract :
Decision tree classification is one of the classification technologies in the data mining field. The paper analyses the drawback of C4.5 algorithm, then improves it by inducing the Bayesian method. The experiment proves that the improved algorithm can make it faster to process data and constructed decision tree with less leaves.
Keywords :
Bayes methods; algorithm theory; data mining; decision trees; pattern classification; Bayesian method; C4.5 algorithm; data mining; decision tree algorithm; decision tree classification; Algorithm design and analysis; Bayesian methods; Classification tree analysis; Data engineering; Data mining; Decision trees; Educational institutions; Hydrology; Neural networks; Water resources;
Conference_Titel :
Intelligent Systems and Applications, 2009. ISA 2009. International Workshop on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-3893-8
Electronic_ISBN :
978-1-4244-3894-5
DOI :
10.1109/IWISA.2009.5072715
