DocumentCode
2033699
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
fYear
2009
fDate
23-24 May 2009
Firstpage
1
Lastpage
4
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/IWISA.2009.5072715
Filename
5072715
Link To Document