Landslide Susceptibility Assessment using Skyline Operator and Majority Voting
Landslide susceptibility assessment is the problem of determining the likelihood of a landslide to occur in a particular area based on the geological and morphological properties of the area. In this study we propose a method wherein skyline operator is used to model landslides and majority voting i...
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| Format: | Article |
| Language: | English |
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Sakarya University
2019-10-01
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| Series: | Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi |
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| Online Access: | https://dergipark.org.tr/tr/download/article-file/723538 |
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| _version_ | 1846111480346312704 |
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| author | Alev Mutlu Furkan Goz Kubra Koksal Arzu Erener |
| author_facet | Alev Mutlu Furkan Goz Kubra Koksal Arzu Erener |
| author_sort | Alev Mutlu |
| collection | DOAJ |
| description | Landslide susceptibility assessment is the problem of determining the likelihood of a landslide to occur in a particular area based on the geological and morphological properties of the area. In this study we propose a method wherein skyline operator is used to model landslides and majority voting is used to assess landslide susceptibility. Experiments conducted on a real life data set show that the proposed method achieves 83.07% classification accuracy and is superior over logistic regression, support vector machine and neural network based approaches and achieves similar results when compared to a decision trees-based model. |
| format | Article |
| id | doaj-art-77affd65fd2640ff84f8a9c6b2d79a9d |
| institution | Kabale University |
| issn | 2147-835X |
| language | English |
| publishDate | 2019-10-01 |
| publisher | Sakarya University |
| record_format | Article |
| series | Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi |
| spelling | doaj-art-77affd65fd2640ff84f8a9c6b2d79a9d2024-12-23T08:03:58ZengSakarya UniversitySakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi2147-835X2019-10-0123578278710.16984/saufenbilder.47980128Landslide Susceptibility Assessment using Skyline Operator and Majority VotingAlev Mutluhttps://orcid.org/0000-0003-0547-0653Furkan Gozhttps://orcid.org/0000-0002-6726-3679Kubra Koksalhttps://orcid.org/0000-0002-4252-7295Arzu Erenerhttps://orcid.org/0000-0002-9168-4254Landslide susceptibility assessment is the problem of determining the likelihood of a landslide to occur in a particular area based on the geological and morphological properties of the area. In this study we propose a method wherein skyline operator is used to model landslides and majority voting is used to assess landslide susceptibility. Experiments conducted on a real life data set show that the proposed method achieves 83.07% classification accuracy and is superior over logistic regression, support vector machine and neural network based approaches and achieves similar results when compared to a decision trees-based model.https://dergipark.org.tr/tr/download/article-file/723538landslide susceptibility assessmentmajority votingskyline operator |
| spellingShingle | Alev Mutlu Furkan Goz Kubra Koksal Arzu Erener Landslide Susceptibility Assessment using Skyline Operator and Majority Voting Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi landslide susceptibility assessment majority voting skyline operator |
| title | Landslide Susceptibility Assessment using Skyline Operator and Majority Voting |
| title_full | Landslide Susceptibility Assessment using Skyline Operator and Majority Voting |
| title_fullStr | Landslide Susceptibility Assessment using Skyline Operator and Majority Voting |
| title_full_unstemmed | Landslide Susceptibility Assessment using Skyline Operator and Majority Voting |
| title_short | Landslide Susceptibility Assessment using Skyline Operator and Majority Voting |
| title_sort | landslide susceptibility assessment using skyline operator and majority voting |
| topic | landslide susceptibility assessment majority voting skyline operator |
| url | https://dergipark.org.tr/tr/download/article-file/723538 |
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