Advanced data mining techniques for landslide susceptibility mapping
This paper describes the development and validation of landslides susceptibility models for mountainous regions using advanced data mining techniques. The investigation was carried out to ascertain the effectiveness of Naïve Bayes Multinomial (NBM) and Random Trees (RT) in landslide susceptibility...
| Main Authors: | Ibrahim, M.B., Mustaffa, Z., Balogun, A.-L., Hamonangan Harahap, I.S., Ali Khan, M. |
|---|---|
| Format: | Article |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.29431 / |
| Published: |
Taylor and Francis Ltd.
2021
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| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85114772600&doi=10.1080%2f19475705.2021.1960433&partnerID=40&md5=a644c5d2ac87bc0d20106189bf1b37ac http://eprints.utp.edu.my/29431/ |
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