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
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2017–2026
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Data mining: concepts, models and techniques
Choice Reviews Online · 2011 · 558 citations
An Empirical Comparison of Selection Measures for Decision-Tree Induction
John Mingers · Machine Learning · 1989 · 465 citations · Full text
An empirical comparison of selection measures for decision-tree induction
John Mingers · Machine Learning · 1989 · 313 citations · Full text
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Laboratoire Traitement et Communication de l’Information, France
3 publications · 52 citations
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Centre National de la Recherche Scientifique
Paris, France
7 h-index
17 publications
628 citations
Inserm
Paris, France
4 h-index
15 publications
682 citations

National Yang Ming Chiao Tung University
Hsinchu, Taiwan
4 h-index
13 publications
724 citations
National Central University
Taoyuan City, Taiwan
3 h-index
8 publications
355 citations
Xiamen University
Xiamen, China
3 h-index
6 publications
565 citations

Université de Rouen Normandie
Rouen, France
3 h-index
4 publications
253 citations
Aix-Marseille Université
Marseille, France
3 h-index
5 publications
225 citations
Yuan Ze University
Taoyuan District, Taiwan
3 h-index
4 publications
203 citations
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7 publications · 1.3K citations
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5 publications · 126 citations
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4 publications · 145 citations
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3 publications · 98 citations
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3 publications · 95 citations
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