GIS-based modeling of rainfall-induced landslides using data mining-based functional trees classifier with AdaBoost, Bagging, and MultiBoost ensemble frameworks
The main objective of this study is to propose and verify a novel ensemble methodology that could improve prediction performances of landslide susceptibility models. The proposed methodology is based on the functional tree classifier and three current state-of-the art machine learning ensemble frame...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | en |
| Published: |
Springer
2016
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| Subjects: | |
| Online Access: | http://psasir.upm.edu.my/id/eprint/54388/1/GIS-based%20modeling%20of%20rainfall-induced%20landslides%20using%20data%20mining-based%20.pdf http://psasir.upm.edu.my/id/eprint/54388/ https://link.springer.com/article/10.1007/s12665-016-5919-4 |
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