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Comparative Accuracy of Different Classification Algorithms for Forest Cover Type Prediction

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)
ISBN: 9781509057535
Uncontrolled Keywords: machine learning classifiers; Naıve Bayes classifier; Naıve Bayes learner; k-Nearest Neighbors classifier; Random forest classifier; forest cover type classification
Subjects: FOR Classification > 0801 Artificial Intelligence and Image Processing
FOR Classification > 0802 Computation Theory and Mathematics
Faculty/School/Research Centre/Department > Institute for Sustainable Industries and Liveable Cities
SWORD Depositor: Symplectic Elements
Depositing User: Symplectic Elements
Date Deposited: 31 May 2019 04:22
Last Modified: 31 May 2019 04:22
URI: http://vuir.vu.edu.au/id/eprint/38581
DOI: https://doi.org/10.1109/APWC-on-CSE.2016.029
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Citations in Scopus: 1 - View on Scopus

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