Landslide Risk Modeling using Data Mining in Hyrcanian Forests

Author:

Nazariani Nastara,Fallah Asghar

Publisher

Apex Publishing

Reference35 articles.

1. Qualitative landslide susceptibility assessment by multicriteria analysis: A case study from San Antonio del Sur, Guantánamo, Cuba

2. Selecting optimal conditioning parameters for landslide susceptibility: an experimental research on Aqabat Al-Sulbat, Saudi Arabia

3. Aram, A., M.R. Dalalian, S. Saedi, O. Rafieian and S. Darbandi. 2022. Evaluation of the efficiency of artificial intelligence and bivariate statistical models in determining landslide prone areas in West Azerbaijan. Journal of Water and Soil Resources Conservation, 11(4): 63-74 (In Persian).

4. Breiman, L., J. Friedman, C.J. Stone and R.A. Olshen. 1984. Classification and regression trees, 1nd edn, CRC press, Pub. Location New York, New York, 368 pp.

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