Multiway Splits

Multiway Splits is a decision tree partitioning strategy that, unlike binary splits, divides an internal node into more than two child nodes based on multiple distinct values or ranges of a single feature, enabling finer-grained segmentation of the feature space.

17

Publications

819

Citations

60

Authors

21

Institutions

Publications per year

2017–2026

4

Variants

Multi-way Splits

Authors

60

  1. RL
    Rodney L. Bates

    University of Tennessee at Knoxville, United States

    2 publications · 58 citations

    2

    h-index

  2. RW
    Robert W. Mee

    University of Tennessee at Knoxville, United States

    2 publications · 58 citations

    2

    h-index

  3. DE
    Donald E. Brown

    University of Virginia, United States

    1 publications · 11 citations

    1

    h-index

  4. CN
    Christophe Négre

    Université de Perpignan, France

    1 publications · 31 citations

    1

    h-index

  5. KW
    Karen Watanabe Duffy

    University of Toronto, Canada

    1 publications · 35 citations

    1

    h-index

1–5 of 60

Venues

  1. Technometrics

    3 publications · 79 citations

    3

    h-index

  2. SAR and QSAR in environmental research

    2 publications · 100 citations

    2

    h-index

  3. 1

    h-index

  4. International Journal of Molecular Sciences

    IJMS · 1 publications · 42 citations

    1

    h-index

  5. 1

    h-index

1–5