Public policymaking for international agricultural trade using association rules and ensemble machine learning

Public policymaking for international agricultural trade using association rules and ensemble machine learning

International economics has a long history of improving our understanding of factors causing trade, and the consequences of free flow of goods and services across countries. The recent shocks to the free-trade regime, especially trade disputes among major economies, as well as black swan events (suc...

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Bibliographic Details
Main Authors: Feras A. Batarseh, Munisamy Gopinath, Anderson Monken, Zhengrong Gu
Format: Article
Language:English
Published: Elsevier 2021-09-01
Series:Machine Learning with Applications
Subjects:
International trade
Association rules
Ensemble machine learning
Country–commodity transactions
Black swan events
Gravity models
Online Access:http://www.sciencedirect.com/science/article/pii/S2666827021000232

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http://www.sciencedirect.com/science/article/pii/S2666827021000232

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