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Energy Associated Tuning Method for Short-Term Series Forecasting by Complete and Incomplete Datasets Cover

Energy Associated Tuning Method for Short-Term Series Forecasting by Complete and Incomplete Datasets

Journal of Artificial Intelligence and Soft Computing Research
Volume 7 (2017): Issue 1 (January 2017)
By: Cristian Rodrìguez Rivero,  Juliàn Pucheta,  Sergio Laboret,  Vìctor Sauchelli and  Daniel Patiǹo  
Open Access
|Dec 2016
Articles in this issue
DOI: https://doi.org/10.1515/jaiscr-2017-0001
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Language: English
Page range: 5 - 16
Published on: Dec 17, 2016
Published by: SAN University
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
short time series,
forecasting,
missing data,
energy associated to series,
complete and incomplete datasets
Related subjects:
Computer sciences,
Artificial intelligence,
Databases and data mining

© 2016 Cristian Rodrìguez Rivero, Juliàn Pucheta, Sergio Laboret, Vìctor Sauchelli, Daniel Patiǹo, published by SAN University
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 7 (2017): Issue 1 (January 2017)
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