Surrogate Splits is a decision tree modeling technique that serves as a backup splitting rule based on a secondary variable highly correlated with the primary splitting variable, used to handle missing data by approximating the primary split when the primary variable is unobserved.
9
Publications
496
Citations
22
Authors
14
Institutions
Publications per year
2017–2026
2
Parents
Publications
9
1–5 of 9
Authors
22
- YS
1
h-index
- LG
1
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- TG
1
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- GC
1
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- KK
1
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1–5 of 22
Institutions
14
Universiti Teknologi Petronas
Ipoh, Malaysia
2 h-index
3 publications
56 citations
Strategic Insight (United States)
Arlington, United States
1 h-index
3 publications
60 citations
King Faisal University
Hofuf, Saudi Arabia
1 h-index
1 publications
34 citations
Signal Processing (United States)
Rockville, United States
1 h-index
1 publications
246 citations
Temple University
Philadelphia, United States
1 h-index
1 publications
37 citations
AT&T (United States)
Bedminster, United States
1 h-index
1 publications
246 citations
University of Manchester
Manchester, United Kingdom
1 h-index
2 publications
52 citations
Williams College
Williamstown, United States
1 h-index
1 publications
37 citations
1–8 of 14
Venues
- Symmetry
1 publications · 34 citations
1
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- Canadian Journal of Forest Research
1 publications · 79 citations
1
h-index
- Research portal (Tilburg University)
Repository · 1 publications · 15 citations
1
h-index
- IEEE Transactions on Pattern Analysis and Machine Intelligence
TPAMI · 1 publications · 246 citations
1
h-index
- BMC Medical Research Methodology
1 publications · 37 citations
1
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1–5