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

• 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
• 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

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...