An Algorithm of the Multi-Variable Decision Tree Based on Genetic Programming

被引：0
作者：
Lin, Li-qun [1 ]
Shen, Ping [2 ]
机构：
[1] Hubei Univ, Fac Resources & Environm Sci, 368 Youyi Ave, Wuhan, Peoples R China
[2] Wuhan Univ, LMARS, Wuhan, Peoples R China
来源：
INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND SOFTWARE ENGINEERING (AISE 2014) | 2014年
关键词：
Decision tree; Classification; Multivariate; Genetic programming; Data mining;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
According to the shortcomings of the univariate decision tree, the paper proposes a multivariate decision tree algorithm. The algorithm uses search capabilities of the genetic programming to construct a branch of the tree, and the algorithm used in road extraction. The result shows that the algorithm can fully use various features, get a higher accuracy.
引用
收藏
页码：314 / 318
页数：5
相关论文
共 7 条
  • [1] Blake C. L., 1998, Uci repository of machine learning databases
  • [2] Demsar J, 2006, J MACH LEARN RES, V7, P1
  • [3] Kaufmann Morgan, 1993, C4 5 PROGRAMS FORMAC
  • [4] Classification trees with unbiased multiway splits
    Kim, H
    Loh, WY
    [J]. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 2001, 96 (454) : 589 - 604
  • [5] Li Xiao-Bai, 2003, IEEE T SYSTEMS, V33, P37
  • [6] Quinlan J. R., 1986, Machine Learning, V1, P81, DOI 10.1007/BF00116251
  • [7] Rough Set Approach to Multivariate Decision Trees Inducing
    Wang, Dianhong
    Liu, Xingwen
    Jiang, Liangxiao
    Zhang, Xiaoting
    Zhao, Yongguang
    [J]. JOURNAL OF COMPUTERS, 2012, 7 (04) : 870 - 879
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