Comparative Analysis to Investigate Appropriate Machine Learning Approach for Landslide Susceptibility Mapping

dc.contributor.author	Madawala, C. N.
dc.contributor.author	Kumara, B. T. G. S. K.
dc.date.accessioned	2022-03-22T07:52:30Z
dc.date.available	2022-03-22T07:52:30Z
dc.date.issued	2019
dc.identifier.citation	RIRC - 2019 , Rajarata International Research Conference, Faculty of Applied Sciences	en_US
dc.identifier.issn	2235-9710
dc.identifier.uri	http://repository.rjt.ac.lk/handle/123456789/3862
dc.language.iso	en	en_US
dc.publisher	Rajarata University of Sri Lanka, Faculty of Applied Sciences	en_US
dc.subject	Ensemble approach	en_US
dc.subject	Support Vector Machine (SVM)	en_US
dc.subject	Naive Bayes	en_US
dc.title	Comparative Analysis to Investigate Appropriate Machine Learning Approach for Landslide Susceptibility Mapping	en_US
dc.type	Article	en_US