학술논문

The Research and Analysis in Decision Tree Algorithm Based on C4.5 Algorithm
Document Type
Conference
Source
2018 IEEE 3rd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC) Advanced Information Technology, Electronic and Automation Control Conference (IAEAC), 2018 IEEE 3rd. :1882-1886 Oct, 2018
Subject
Computing and Processing
Robotics and Control Systems
Decision trees
Classification algorithms
Information entropy
Entropy
Lenses
Training
Prediction algorithms
Language
Abstract
On the base of introducing the Decision Tree, this article lists two main algorithms of Decision Tree. After describing the principle of briefly, it reveals the essential idea and the computing process of C4.5 Algorithm in detail. As constructing a Decision Tree on a group of instance data with the two algorithms, we get the principle of classification about the data. By comparing the two algorithms during the process of constructing the tree, we analysis the advantages and disadvantages of them finally. With the conclusion of the applied scope of each algorithm, it provides a theoretical basis for choosing an appropriate method in practical application.