GIS-based modeling of rainfall-induced landslides using data mining-based functional trees classifier with AdaBoost, Bagging, and MultiBoost ensemble frameworks

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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Bibliographic Details
Main Authors: Bui, Dieu Tien, Ho, Tien Chung, Pradhan, Biswajeet, Pham, Binh Thai, Nhu, Viet Ha, Revhaug, Inge
Format: Article
Language:English
Published: Springer 2016
Subjects:
Landslide; GIS; Functional trees; AdaBoost; MultiBoost; Bagging; Vietnam
Online Access:http://psasir.upm.edu.my/id/eprint/54388/
http://psasir.upm.edu.my/id/eprint/54388/1/GIS-based%20modeling%20of%20rainfall-induced%20landslides%20using%20data%20mining-based%20.pdf

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