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...
Main Authors: | Cheongil Kim, Jaesun Yeom, Seunghoo Jeong, Ji-Bum Chung |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2023-08-01
|
Series: | Heliyon |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2405844023059741 |
Similar Items
-
Editorial: Innovations in climate resilience
by: Justin C. Sanchez, et al.
Published: (2024-04-01) -
Resilience estimation of the mining fleet (Case study: Sungun copper mine)
by: Adel Motahedi, et al.
Published: (2021-12-01) -
Mining the applications to study at Lithuania's institutions of higher education using association rules
by: Ieva Mitašiūnaitė, et al.
Published: (2004-12-01) -
Numerical Association Rule Mining from a Defined Schema Using the VMO Algorithm
by: Iván Fredy Jaramillo, et al.
Published: (2021-07-01) -
Genetic Based Method for Mining Association Rules
by: Bushra Khireibut Jassim
Published: (2013-03-01)