Title :
The Improvement of C4.5 Algorithm and Case Study
Author :
Li Rui ; Wei Xian-mei ; Yu Xue-wei
Author_Institution :
Software Inst., Dalian Jiaotong Univ., Dalian, China
Abstract :
The paper introduces a balanced coefficient to improve the veracity of C4.5 algorithm. It can be fixed by decision maker according to priori intellectual and domain intellectual. It harmonized the information gain-ratio of each attributes artificially in specific environment. The classification is more veracious and rational by the decision tree made from the improved algorithm. And compared the improved algorithm to C4.5 algorithm by analyzing examples, to prove the efficiency of the improved algorithm.
Keywords :
decision making; decision trees; pattern classification; C4.5 algorithm; decision maker; decision tree; information gain-ratio; Algorithm design and analysis; Bayesian methods; Classification tree analysis; Computational intelligence; Decision trees; Delta modulation; Information entropy; Probability; Search methods; Software algorithms; C4.5 algorithm; Classification of data; Decision tree; Degree of balance coefficient;
Conference_Titel :
Computational Intelligence and Design, 2009. ISCID '09. Second International Symposium on
Conference_Location :
Changsha
Print_ISBN :
978-0-7695-3865-5
DOI :
10.1109/ISCID.2009.195
