Talavera Llames, Ricardo L.Pérez Chacón, RubénMartínez Ballesteros, María del MarTroncoso Lora, AliciaMartínez Álvarez, Francisco2022-04-262022-04-262016Talavera Llames, R.L., Pérez Chacón, R., Martínez Ballesteros, M.d.M., Troncoso Lora, A. y Martínez Álvarez, F. (2016). A Nearest Neighbours-Based Algorithm for Big Time Series Data Forecasting. En HAIS 2016 : 11th International Conference on Hybrid Artificial Intelligence Systems (174-185), Sevilla, España: Springer.978-3-319-32033-50302-9743https://hdl.handle.net/11441/132602A forecasting algorithm for big data time series is presented in this work. A nearest neighbours-based strategy is adopted as the main core of the algorithm. A detailed explanation on how to adapt and imple ment the algorithm to handle big data is provided. Although some parts remain iterative, and consequently requires an enhanced implementation, execution times are considered as satisfactory. The performance of the proposed approach has been tested on real-world data related to elec tricity consumption from a public Spanish university, by using a Spark cluster.application/pdf12engAttribution-NonCommercial-NoDerivatives 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc-nd/4.0/Big DataNearest neighboursTime seriesForecastinginfo:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/openAccesshttps://doi.org/10.1007/978-3-319-32034-2_15