Citation
Shojaee, Seyed Iman (2012) Machine Learning Techniques For Landslide Prediction. Masters thesis, Multimedia University. Full text not available from this repository.
Official URL: http://vlib.mmu.edu.my/diglib/login/dlusr/login.ph...
Abstract
The research objectives are to employ data mining techniques to build models by which the prediction of future landslides can be possible. This study,employ some of the most important contributing factors of landslide occurrence. The factors are; slope angle,soil type,soil wet index,rainfall level,earthquake-prone,vegetation cover,soil effective thickness and factor of safety.
| Item Type: | Thesis (Masters) |
|---|---|
| Subjects: | Q Science > Q Science (General) |
| Divisions: | Faculty of Computing and Informatics (FCI) |
| Depositing User: | Users 1102 not found. |
| Date Deposited: | 19 Nov 2012 07:03 |
| Last Modified: | 19 Nov 2012 07:03 |
| URII: | http://shdl.mmu.edu.my/id/eprint/3620 |
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