Decision Tree Scoring

Decision Tree Scoring is a risk scoring method that uses a hierarchical, rule-based classification model to assign scores by recursively partitioning data into subsets based on feature thresholds, where the structure and splitting criteria are determined through a tree-structured decision process.

234

Publications

10.7K

Citations

1.1K

Authors

553

Institutions

Publications per year

2017–2026

117

Authors

1.1K

  1. SC
    Stéphan Clémençon

    Laboratoire Traitement et Communication de l’Information, France

    3 publications · 52 citations

    3

    h-index

  2. NV
    Nicolas Vayatis

    Centre National de la Recherche Scientifique, France

    3 publications · 52 citations

    3

    h-index

  3. JH
    Jorng‐Tzong Horng

    National Central University, Taiwan

    2 publications · 107 citations

    2

    h-index

  4. HL
    Hongye Lin

    Fujian Medical University, China

    2 publications · 63 citations

    2

    h-index

  5. FB
    Francesco Brigo

    University of Verona, Italy

    2 publications · 33 citations

    2

    h-index

1–5 of 1.1K

Venues

  1. Expert Systems with Applications

    7 publications · 1.3K citations

    7

    h-index

  2. PLoS ONE

    5 publications · 126 citations

    5

    h-index

  3. 4

    h-index

  4. 3

    h-index

  5. Diabetes Research and Clinical Practice

    3 publications · 95 citations

    3

    h-index

1–5