A hybrid cluster-borderline SMOTE method for imbalanced data of rock groutability classification-Reference-Cited by-同舟云学术

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A hybrid cluster-borderline SMOTE method for imbalanced data of rock groutability classification

Published:2021-12-22 Issue:1 Volume:81 Page:
ISSN:1435-9529
Container-title:Bulletin of Engineering Geology and the Environment
language:en
Short-container-title:Bull Eng Geol Environ

Author:

Li Kai,Ren Bingyu,Guan Tao,Wang Jiajun,Yu Jia,Wang Kexiang,Huang Jicun

Funder

national natural science foundation of china

china three gorges projects development co., ltd

Publisher

Springer Science and Business Media LLC

Subject

Geology,Geotechnical Engineering and Engineering Geology

Link

https://link.springer.com/content/pdf/10.1007/s10064-021-02523-9.pdf

Reference46 articles.

1. Azimian A, Ajalloeian R (2015) Permeability and groutability appraisal of the Nargesi dam site in Iran based on the secondary permeability index, joint hydraulic aperture and Lugeon tests. Bull Eng Geol Environ 74:845–859

2. Barton N, Choubey V (1977) The shear strength of rock joints in theory and practice. Rock Mech 10(1–2):1–54

3. Barua S, Islam MM, Yao X, Murase K (2013) MWMOTE–majority weighted minority oversampling technique for imbalanced data set learning. IEEE Trans Knowl Data Eng 26(2):405–425

4. Batista GE, Prati RC, Monard MC (2004) A study of the behavior of several methods for balancing machine learning training data. ACM SIGKDD Explor Newsletter 6(1):20–29

5. Bayan C, Fisher R (2015) Classifying imbalanced data sets using similarity based hierarchical decomposition. Pattern Recogn 48:1653–1672

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