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High Performance Machine Learning Models of Large Scale Air Pollution Data in Urban Area Cover

High Performance Machine Learning Models of Large Scale Air Pollution Data in Urban Area

Cybernetics and Information Technologies
Volume 20 (2020): Issue 6 (December 2020)
By: Snezhana G. Gocheva-Ilieva,  Atanas V. Ivanov and  Ioannis E. Livieris  
Open Access
|Dec 2020
Authors

Authors

Snezhana G. Gocheva-Ilieva

snow@uni-plovdiv.bg

Faculty of Mathematics and Informatics, University of Plovdiv Paisii Hilendarski, Plovdiv, Bulgaria

Atanas V. Ivanov

aivanov@uni-plovdiv.bg

Faculty of Mathematics and Informatics, University of Plovdiv Paisii Hilendarski, Plovdiv, Bulgaria

Ioannis E. Livieris

livieris@upatras.gr

Department of Mathematics, University of Patras, Patras, Greece
DOI: https://doi.org/10.2478/cait-2020-0060 | Journal eISSN: 1314-4081 | Journal ISSN: 1311-9702
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Language: English
Page range: 49 - 60
Submitted on: Sep 10, 2020
Accepted on: Nov 4, 2020
Published on: Dec 31, 2020
Published by: Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Machine learning,
Random Forest,
Autoregressive integrated moving average,
error correction,
time series,
forecasting
Related subjects:
Computer sciences,
Information technology

© 2020 Snezhana G. Gocheva-Ilieva, Atanas V. Ivanov, Ioannis E. Livieris, published by Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 20 (2020): Issue 6 (December 2020)
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