On combining Websensors and DTW distance for kNN Time Series Forecasting


In the pattern recognition field, different approaches have been proposed to improve time series forecasting models. In this sense, k-Nearest-Neighbour (kNN) with DTW (Dynamic Time Warping) distance is one of the most representative methods, due to its effectiveness, simplicity and intuitiveness. The great advantage of the DTW distance is the robustness to… (More)
DOI: 10.1109/ICPR.2016.7900015


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