Public policymaking for international agricultural trade using association rules and ensemble machine learning
- DOI
- 10.1016/j.mlwa.2021.100046
- Published
- 2021-09
- Container
- Machine Learning with Applications
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.mlwa.2021.100046,
title = {Public policymaking for international agricultural trade using association rules and ensemble machine learning},
author = {Feras A. Batarseh and Munisamy Gopinath and Anderson Monken and Zhengrong Gu},
year = {2021},
journal = {Machine Learning with Applications},
doi = {10.1016/j.mlwa.2021.100046},
url = {https://doi.org/10.1016/j.mlwa.2021.100046}
}RIS
TY - JOUR TI - Public policymaking for international agricultural trade using association rules and ensemble machine learning AU - Feras A. Batarseh AU - Munisamy Gopinath AU - Anderson Monken AU - Zhengrong Gu PY - 2021 JO - Machine Learning with Applications DO - 10.1016/j.mlwa.2021.100046 UR - https://doi.org/10.1016/j.mlwa.2021.100046 ER -
APA
Batarseh, F. A., Gopinath, M., Monken, A., & Gu, Z. (2021). Public policymaking for international agricultural trade using association rules and ensemble machine learning. Machine Learning with Applications. https://doi.org/10.1016/j.mlwa.2021.100046
Source records
- crossref · retrieved 2026-09-25T12:32:03.412Z