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Application of an ensemble learning model based on random subspace and a J48 decision tree for landslide susceptibility mapping: a case study for Qingchuan, Sichuan, China

Yangchun Li, Feikai Lin, Xiangang Luo, Shuang Zhu, Jiang Li, Zhanya Xu, Xiuwei Liu, Shungen Luo, Guangjie Huo, Liangsheng Peng, Haiping Feng

2022Environmental Earth Sciences11 citationsDOI

Topics & Concepts

C4.5 algorithmDecision treeOverfittingLandslideSubspace topologyComputer scienceData miningEnsemble learningArtificial neural networkArtificial intelligenceNaive Bayes classifierCartographyMachine learningSupport vector machineGeologyGeographyGeomorphologyLandslides and related hazardsCryospheric studies and observationsGeotechnical Engineering and Analysis
Application of an ensemble learning model based on random subspace and a J48 decision tree for landslide susceptibility mapping: a case study for Qingchuan, Sichuan, China | Litcius