Landslide Susceptibility Modeling Based on GIS and Novel Bagging-Based Kernel Logistic Regression Article

Chen, Wei, Shahabi, Himan, Zhang, Shuai et al. (2018). Landslide Susceptibility Modeling Based on GIS and Novel Bagging-Based Kernel Logistic Regression . Applied Sciences (Switzerland), 8(12), 10.3390/app8122540

Open Access International Collaboration

cited authors

  • Chen, Wei; Shahabi, Himan; Zhang, Shuai; Khosravi, Khabat; Shirzadi, Ataollah; Chapi, Kamran; Binh, Thai Pham; Zhang, Tingyu; Zhang, Lingyu; Chai, Huichan; Ma, Jianquan; Chen, Yingtao; Wang, Xiaojing; Li, Renwei; Bin Ahmad, Baharin

sustainable development goals

authors

publication date

  • December 1, 2018

published in

keywords

  • ARTIFICIAL NEURAL-NETWORK
  • Chemistry
  • Chemistry, Multidisciplinary
  • China
  • DATA MINING TECHNIQUES
  • DECISION TREE
  • Engineering
  • Engineering, Multidisciplinary
  • FREQUENCY RATIO
  • Materials Science
  • Materials Science, Multidisciplinary
  • NAIVE BAYES TREE
  • PERFORMANCE EVALUATION
  • Physical Sciences
  • Physics
  • Physics, Applied
  • RANDOM FOREST
  • SPATIAL PREDICTION
  • SUPPORT VECTOR MACHINE
  • Science & Technology
  • Technology
  • WEIGHTS-OF-EVIDENCE
  • landslide
  • meta classifier
  • prediction power

Digital Object Identifier (DOI)

volume

  • 8

issue

  • 12