Attribute Selection Based on Constraint Gain and Depth Optimal for a Decision Tree.

Sun H, Hu X, Zhang Y

DOI: 10.3390/e21020198
Published: 2019 Feb 19
Container: Entropy (Basel, Switzerland)
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3390/e21020198,
  title = {Attribute Selection Based on Constraint Gain and Depth Optimal for a Decision Tree.},
  author = {Sun H and Hu X and Zhang Y},
  year = {2019},
  journal = {Entropy (Basel, Switzerland)},
  doi = {10.3390/e21020198},
  url = {https://doi.org/10.3390/e21020198}
}

RIS

TY  - JOUR
TI  - Attribute Selection Based on Constraint Gain and Depth Optimal for a Decision Tree.
AU  - Sun H
AU  - Hu X
AU  - Zhang Y
PY  - 2019
JO  - Entropy (Basel, Switzerland)
DO  - 10.3390/e21020198
UR  - https://doi.org/10.3390/e21020198
ER  -

APA

H, S., X, H., & Y, Z. (2019). Attribute Selection Based on Constraint Gain and Depth Optimal for a Decision Tree.. Entropy (Basel, Switzerland). https://doi.org/10.3390/e21020198

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pubmed · retrieved 2026-09-25T00:03:31.905Z