Resilience and social change: Findings from research trends using association rule mining

Resilience and social change: Findings from research trends using association rule mining

This study analyzed the historical development of resilience with respect to multidisciplinary aspects using association rule mining (ARM). ARM is a rule-based machine-learning approach tailored to identify validated relations among multiple variables in a large dataset. This study collected author...

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Bibliographic Details
Main Authors: Cheongil Kim, Jaesun Yeom, Seunghoo Jeong, Ji-Bum Chung
Format: Article
Language:English
Published: Elsevier 2023-08-01
Series:Heliyon
Subjects:
Resilience
Resilience thinking
Social change
Research trends
Association rule mining
Bibliometric analysis
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844023059741

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