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Mining Spatial Association Rules., and . Intelligent Information Systems, page 3-12. Springer, (2004)Discovery of closed spatio-temporal sequential patterns from event data., , and . KES, volume 159 of Procedia Computer Science, page 707-716. Elsevier, (2019)Modelling OpenStreetMap Data for Determination of the Fastest Route Under Varying Driving Conditions., , and . Intelligent Methods and Big Data in Industrial Applications, volume 40 of Studies in Big Data, Springer, (2019)Towards Automatic Argument Extraction and Visualization in a Deliberative Model of Online Consultations for Local Governments., and . ADBIS, volume 9809 of Lecture Notes in Computer Science, page 74-86. Springer, (2016)OptiLocator: Discovering Optimum Location for a Business Using Spatial Co-location Mining and Spatio-Temporal Data., , and . ISMIS, volume 10352 of Lecture Notes in Computer Science, page 347-357. Springer, (2017)Effective air pollution prediction by combining time series decomposition with stacking and bagging ensembles of evolving spiking neural networks., , , , , and . Environ. Model. Softw., (December 2023)Online Evolving Spiking Neural Networks for Incremental Air Pollution Prediction., , and . IJCNN, page 1-8. IEEE, (2020)A Novel Breadth-first Strategy Algorithm for Discovering Sequential Patterns from Spatio-temporal Data., and . ICPRAM, page 459-466. SciTePress, (2019)Lexical Ontology Layer - A Bridge between Text and Concepts., , , , and . ISMIS, volume 7661 of Lecture Notes in Computer Science, page 162-171. Springer, (2012)Mining Spatial Association Rules with No Distance Parameter., and . Intelligent Information Systems, volume 35 of Advances in Soft Computing, page 499-508. Springer, (2006)