Tree Induction
Tree Induction is a machine learning method that constructs a decision tree by recursively partitioning the feature space into subsets based on attribute values to optimize class separability or predictive accuracy.
651
Publications
150.8K
Citations
1.4K
Authors
600
Institutions
Publications per year
2017–2026
96
Variants
Decision Tree Learning
Parents
651
Classification and Regression Trees.
Alexander Gordon, Leo Breiman, Jerome H. Friedman et al. · Biometrics · 1984 · 23.9K citations
Classification and Regression Trees.
John Van Ryzin, Leo Breiman, Jerome H. Friedman et al. · Journal of the American Statistical Association · 1986 · 21K citations
J. R. Quinlan · Machine Learning · 1986 · 14.8K citations · Full text
J. R. Quinlan · Machine Learning · 1986 · 12.4K citations · Full text
Classification and regression trees
J. Praagman · European Journal of Operational Research · 1985 · 10.2K citations
1–5 of 651
1.4K
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h-index
Pontifícia Universidade Católica do Rio Grande do Sul, Brazil
12 publications · 810 citations
12
h-index
10
h-index
9
h-index
7
h-index
1–5 of 1.4K
600
Universidade de São Paulo
São Paulo, Brazil
16 h-index
43 publications
2.3K citations
University of Kent
Canterbury, United Kingdom
11 h-index
15 publications
1.1K citations

University of Massachusetts Amherst
Amherst Center, United States
7 h-index
17 publications
1.3K citations
Purdue University West Lafayette
West Lafayette, United States
7 h-index
13 publications
930 citations
KU Leuven
Leuven, Belgium
7 h-index
13 publications
1.2K citations

Hebei University
Baoding, China
7 h-index
18 publications
1.3K citations
University of Liège
Liège, Belgium
6 h-index
11 publications
1K citations
National Research Council Canada
Ottawa, Canada
6 h-index
7 publications
1.8K citations
1–8 of 600
18 publications · 29.7K citations
17
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Repository · 16 publications · 1K citations
14
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13 publications · 797 citations
11
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9 publications · 996 citations
9
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TKDE · 8 publications · 952 citations
8
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