Title :
Improved C4.5 Decision Tree
Author :
Jia Wenguang ; Huang LiJing
Author_Institution :
Hebei Univ. of Econ. & Bus., Shijiazhuang, China
Abstract :
Based on analysed the various decision tree algorithm, improve the C4.5 classification analysis technique, proposed based on the C4.5 classification analysis technique churn prediction--ICDT classification algorithm. Through case analysis and discussion, proof ICDT algorithm In the telecommunications customer Forecast.
Keywords :
data mining; decision trees; pattern classification; C4.5 classification analysis technique; churn prediction-ICDT classification algorithm; data mining; decision tree algorithm; improved C4.5 decision tree; proof ICDT algorithm; telecommunications customer forecast; Algorithm design and analysis; Classification algorithms; Classification tree analysis; Data mining; Entropy; Prediction algorithms;
Conference_Titel :
Internet Technology and Applications, 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-5142-5
Electronic_ISBN :
978-1-4244-5143-2
DOI :
10.1109/ITAPP.2010.5566133
