Simplifying decision trees
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Another DT algorithm, REPTree, was introduced for classification and aimed at building faster and simpler tree models using information gain for splitting, along with reduced-error pruning.
“Another DT algorithm, under the name of Reduced Error Pruning Tree (REPTree), was also introduced for classification.REPTree aimed at building faster and simpler tree models using information gain for splitting, along with reduced-error pruning [374].”
From A comprehensive survey on machine learning for networking: Evolution, applications and research opportunities (2018) · cites this paper as [374]
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- Authors
- Quinlan, J. R.
- Affiliations
- Massachusetts Institute of Technology (US)
- Corresponding author
- Quinlan, J.R.
- Venue
- International Journal of Man-Machine Studies
- Publisher
- Elsevier BV
- Published
- 1987-09
- Volume
- 27
- Issue
- 3
- Pages
- 221-234
- ISSN
- 0020-7373 (ISSN-L)
- OpenAlex
- W2128420091
- Cited by
- 2,553
- References
- 12
- Citations by year
- 2026: 36 · 2025: 84 · 2024: 109 · 2023: 124 · 2022: 143 · 2021: 149 · 2020: 146 · 2019: 119 · 2018: 123 · 2017: 127 · 2016: 83 · 2015: 77 · 2014: 77 · 2013: 74 · 2012: 62
- FWCI
- 77.10
- Type
- journal article
- Language
- en
- Open access
- green
- hdl.handle.net
- Licence
- Locations
- International Journal of Man-Machine Studies (publishedVersion)
- DSpace@MIT (Massachusetts Institute of Technology) (submittedVersion, cc-by-nc)
- Topics
- Physical Sciences › Computer Science › Information Systems › Data Mining Algorithms and Applications
- Physical Sciences › Computer Science › Computational Theory and Mathematics › Rough Sets and Fuzzy Logic
- Physical Sciences › Computer Science › Artificial Intelligence › Explainable Artificial Intelligence (XAI)
- Keywords
- decision tree, tree pruning, knowledge representation, interpretability, inductive learning, model complexity
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