Comparative Accuracy of Different Classification Algorithms for Forest Cover Type Prediction
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Kishore, RR, Narayan, SS, Lal, S and Rashid, Mahmood 
ORCID: 0000-0003-3347-2381
(2017)
Comparative Accuracy of Different Classification Algorithms for Forest Cover Type Prediction.
In: 2016 3rd Asia-Pacific World Congress on Computer Science and Engineering, 5 Dec 2016 - 6 Dec 2016, Nadi, Fiji.
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| Item type | Conference or Workshop Item (Paper) |
| URI | https://vuir.vu.edu.au/id/eprint/38581 |
| DOI | 10.1109/APWC-on-CSE.2016.029 |
| Official URL | https://ieeexplore.ieee.org/document/7941949 |
| ISBN | 9781509057535 |
| Subjects | Historical > FOR Classification > 0801 Artificial Intelligence and Image Processing Historical > FOR Classification > 0802 Computation Theory and Mathematics Current > Division/Research > Institute for Sustainable Industries and Liveable Cities |
| Keywords | machine learning classifiers; Naıve Bayes classifier; Naıve Bayes learner; k-Nearest Neighbors classifier; Random forest classifier; forest cover type classification |
| Citations in Scopus | 3 - View on Scopus |
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