Decision Trees

Decision Trees is a predictive modeling technique within the class of interpretable machine learning and decision-analytic methods that partitions data hierarchically through a series of binary splits on predictor variables to map observations to outcomes based on feature-driven logical rules.

17.9K

Publications

1.4M

Citations

51.7K

Authors

8.7K

Institutions

Publications per year

2017–2026

10.4K

Authors

51.7K

  1. BT
    Binh Thai Pham

    University Of Transport Technology, Vietnam

    52 publications · 9.4K citations

    46

    h-index

  2. DT
    Dieu Tien Bui

    Duy Tan University, Vietnam

    41 publications · 9.7K citations

    39

    h-index

  3. TM
    Taghi M. Khoshgoftaar

    Florida Atlantic University, United States

    44 publications · 4.6K citations

    28

    h-index

  4. WC
    Wei Chen

    Xi'an University of Science and Technology, China

    30 publications · 5.3K citations

    27

    h-index

  5. BP
    Biswajeet Pradhan

    University of Technology Sydney, Australia

    31 publications · 7.2K citations

    27

    h-index

1–5 of 51.7K

Venues

  1. Expert Systems with Applications

    237 publications · 24.6K citations

    81

    h-index

  2. IEEE Access

    262 publications · 23.7K citations

    75

    h-index

  3. arXiv (Cornell University)

    Repository · 303 publications · 12.8K citations

    57

    h-index

  4. Scientific Reports

    187 publications · 9.3K citations

    55

    h-index

  5. Procedia Computer Science

    148 publications · 12.4K citations

    54

    h-index

1–5