Mining and analysis of multiple association rules between the Xining loess collapsibility and physical parameters
Abstract Collapsibility determination in loess area is expensive, and it also requires a large amount of experimentation. This paper aims to find the association rules between physical parameters and collapsibility of the loess in Xining through the method of data mining, so to help researchers pred...
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Auteurs principaux: | Zhikun Li, Xiaojun Li, Yanyan Zhu, Shi Dong, Chenzhi Hu, Jixin Fan |
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Format: | article |
Langue: | EN |
Publié: |
Nature Portfolio
2021
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Accès en ligne: | https://doaj.org/article/6a0e4fa485db4ddbbb36cd6b2241336c |
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