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Energy Time Series Forecasting Based on Pattern Sequence Similarity.

, , , and . IEEE Trans. Knowl. Data Eng., 23 (8): 1230-1243 (2011)

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Correlation-Based Scatter Search for Discovering Biclusters from Gene Expression Data., , and . EvoBIO, volume 6023 of Lecture Notes in Computer Science, page 122-133. Springer, (2010)A novel spark-based multi-step forecasting algorithm for big data time series., , , and . Inf. Sci., (2018)Big data time series forecasting based on pattern sequence similarity and its application to the electricity demand., , , and . Inf. Sci., (2020)A factorization approach to evaluate open-response assignments in MOOCs using preference learning on peer assessments., , , , and . Knowl. Based Syst., (2015)An evolutionary algorithm to discover quantitative association rules in multidimensional time series., , , and . Soft Comput., 15 (10): 2065-2084 (2011)Inferring gene coexpression networks with Biclustering based on Scatter Search., , and . ISDA, page 1091-1096. IEEE, (2011)Deep Learning-Based Approach for Sleep Apnea Detection Using Physiological Signals., , , and . IWANN (1), volume 14134 of Lecture Notes in Computer Science, page 626-637. Springer, (2023)Nearest Neighbors-Based Forecasting for Electricity Demand Time Series in Streaming., , , and . CAEPIA, volume 12882 of Lecture Notes in Computer Science, page 185-195. Springer, (2021)Combining pattern sequence similarity with neural networks for forecasting electricity demand time series., , , and . IJCNN, page 1-8. IEEE, (2013)Time-Series Prediction: Application to the Short-Term Electric Energy Demand., , , , and . CAEPIA, volume 3040 of Lecture Notes in Computer Science, page 577-586. Springer, (2003)