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Time series clustering based on the characterisation of segment typologies., , , , and . CoRR, (2018)Discovering Spatio-Temporal Patterns in Precision Agriculture Based on Triclustering., , , , , , , and . SOCO, volume 1268 of Advances in Intelligent Systems and Computing, page 226-236. Springer, (2020)Deep Learning for Big Data Time Series Forecasting Applied to Solar Power., , , , and . SOCO-CISIS-ICEUTE, volume 771 of Advances in Intelligent Systems and Computing, page 123-133. Springer, (2018)Electricity Consumption Time Series Forecasting Using Temporal Convolutional Networks., , , and . CAEPIA, volume 12882 of Lecture Notes in Computer Science, page 216-225. Springer, (2021)Scatter search-based identification of local patterns with positive and negative correlations in gene expression data., , and . Appl. Soft Comput., (2015)Obtaining optimal quality measures for quantitative association rules., , , and . Neurocomputing, (2016)Real-Time Big Data Analytics in Smart Cities from LoRa-Based IoT Networks., , , and . SOCO, volume 950 of Advances in Intelligent Systems and Computing, page 91-100. Springer, (2019)Biclustering of Gene Expression Data Based on SimUI Semantic Similarity Measure., , , and . HAIS, volume 9648 of Lecture Notes in Computer Science, page 685-693. Springer, (2016)Nearest neighbors with incremental learning for real-time forecasting of electricity demand., , , and . ICDM (Workshops), page 1-8. IEEE, (2022)A Cluster-Based Deep Learning Model for Energy Consumption Forecasting in Ethiopia., , , and . SOCO, volume 531 of Lecture Notes in Networks and Systems, page 423-432. Springer, (2022)