NDLI: Research and application of the improved algorithm C4.5 on Decision tree

Content Provider	IEEE Xplore Digital Library
Author	Zhu Xiaoliang Wang Jian Yan Hongcan Wu Shangzhuo
Copyright Year	2009
Description	Author affiliation: College of Science dept, Hebei Polytechnic University Tangshan, China City, 063000 (Wang Jian; Yan Hongcan) \|\| Computing Center, Hebei Polytechnic University, Tangshan, China City, 063000 (Zhu Xiaoliang) \|\| College of Chemical Engineering and Biological Technology, Hebei Polytechnic University, Tangshan, China City, 063000 (Wu Shangzhuo)
Abstract	the algorithm on Decision tree is the most widely used method of inductive inference, and it is a simple method of knowledge representation, Different examples can be divided into representative categories, such as classifier and prediction models. This article introduces the basic concepts of classifier, the principle of decision tree and algorithm ID3, analyses the algorithm C4.5 and gives further research to improve it, and the trials shows that the improved algorithm has the reliable results and high efficiency.
Starting Page	184
Ending Page	187
File Size	653352
Page Count	4
File Format	PDF
ISBN	9781424446995
DOI	10.1109/ICTM.2009.5413078
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-12-05
Publisher Place	Hong Kong
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Data analysis Educational institutions Entropy C4.5 algorithm Data mining Decision tree Training data Cities and towns Pruning Inference algorithms Decision trees Classification tree analysis Testing
Content Type	Text
Resource Type	Article

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