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Ricardo L. Talavera-Llames

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Journal Articles

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2019
[j3]
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Ricardo L. Talavera-Llames, Rubén Pérez-Chacón, Alicia Troncoso, Francisco Martínez-Álvarez:
MV-kWNN: A novel multivariate and multi-output weighted nearest neighbours algorithm for big data time series forecasting. Neurocomputing 353: 56-73 (2019)
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Antonio Galicia, Ricardo L. Talavera-Llames, Alicia Troncoso Lora, Irena Koprinska, Francisco Martínez-Álvarez:
Multi-step forecasting for big data time series based on ensemble learning. Knowl. Based Syst. 163: 830-841 (2019)
2018
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Ricardo L. Talavera-Llames, Rubén Pérez-Chacón, Alicia Troncoso Lora, Francisco Martínez-Álvarez:
Big data time series forecasting based on nearest neighbours distributed computing with Spark. Knowl. Based Syst. 161: 12-25 (2018)

Conference and Workshop Papers

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2016
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Rubén Pérez-Chacón, Ricardo L. Talavera-Llames, Francisco Martínez-Álvarez, Alicia Troncoso Lora:
Finding Electric Energy Consumption Patterns in Big Time Series Data. DCAI 2016: 231-238
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Ricardo L. Talavera-Llames, Rubén Pérez-Chacón, María Martínez-Ballesteros, Alicia Troncoso, Francisco Martínez-Álvarez:
A Nearest Neighbours-Based Algorithm for Big Time Series Data Forecasting. HAIS 2016: 174-185

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