Decision Tree Visualization
Decision Tree Visualization is a graphical representation method that encodes the hierarchical structure and decision logic of a decision tree model through node-link diagrams, where nodes represent decision rules or outcomes and edges denote the branching conditions, thereby enabling intuitive interpretation of classification or regression pathways in machine learning.
51
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3.5K
Citations
173
Authors
110
Institutions
Publications per year
2017–2026
20
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Decision tree methods: applications for classification and prediction
VA Palo · 2015 · 1.3K citations
Computing, Data Science, Data Mining +12
Decision tree methods: applications for classification and prediction.
Yan Song, Ying Lü · PubMed · 2015 · 1.1K citations
Computing, Data Science, Data Mining +12
Mihael Ankerst, Christian Elsen, Martin Ester et al. · 1999 · 162 citations
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Tsinghua University
Beijing, China
4 h-index
7 publications
488 citations
SAS Institute (United States)
Cary, United States
3 h-index
5 publications
286 citations
University of Konstanz
Konstanz, Germany
2 h-index
9 publications
524 citations
UCLouvain
Louvain-la-Neuve, Belgium
2 h-index
2 publications
69 citations
Purdue University West Lafayette
West Lafayette, United States
2 h-index
2 publications
51 citations
Catholic University of Eichstätt-Ingolstadt
Eichstätt, Germany
2 h-index
3 publications
61 citations
University of California, Davis
Davis, United States
2 h-index
3 publications
509 citations

University of British Columbia
Vancouver, Canada
2 h-index
2 publications
402 citations
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MDM · 3 publications · 49 citations
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TVCG · 2 publications · 137 citations
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2 publications · 53 citations
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PNAS · 1 publications · 381 citations
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1 publications · 20 citations
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