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

Authors

1.4K

  1. AC
    André C. P. L. F. de Carvalho

    Universidade de São Paulo, Brazil

    18 publications · 1.1K citations

    16

    h-index

  2. RC
    Rodrigo C. Barros

    Pontifícia Universidade Católica do Rio Grande do Sul, Brazil

    12 publications · 810 citations

    12

    h-index

  3. AA
    Alex A. Freitas

    University of Kent, United Kingdom

    10 publications · 759 citations

    10

    h-index

  4. MP
    Márcio P. Basgalupp

    Universidade Federal de São Paulo, Brazil

    9 publications · 627 citations

    9

    h-index

  5. RC
    Ricardo Cerri

    Universidade Federal de São Carlos, Brazil

    7 publications · 376 citations

    7

    h-index

1–5 of 1.4K

Venues

  1. Machine Learning

    18 publications · 29.7K citations

    17

    h-index

  2. arXiv (Cornell University)

    Repository · 16 publications · 1K citations

    14

    h-index

  3. Expert Systems with Applications

    13 publications · 797 citations

    11

    h-index

  4. Pattern Recognition

    9 publications · 996 citations

    9

    h-index

  5. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 8 publications · 952 citations

    8

    h-index

1–5