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Constructing knowledge from multivariate spatiotemporal data: integrating geographical visualization with knowledge discovery in database methods.

, , , , and . Int. J. Geogr. Inf. Sci., 13 (4): 311-334 (1999)

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STVG: an evolutionary graph framework for analyzing fast-evolving networks., , and . J. Big Data, (2019)Visualizing Historical Narratives: Geographically-Integrated History and Dynamics GIS, , , , , , and . National Endowment for the Humanities Workshop Visualizing the Past: Tools and Techniques for Understanding Historical Processes, University of Richmond, Virginia, USA, volume 188 of Frontiers in Artificial Intelligence and Applications, IOS Press, (2009)Lessons Learned from Integrating Batch and Stream Processing using IoT Data., , , , and . IoTSMS, page 32-34. IEEE, (2019)A Holistic Overview of Anticipatory Learning for the Internet of Moving Things: Research Challenges and Opportunities., and . ISPRS Int. J. Geo Inf., 9 (4): 272 (2020)Modelling Offset Regions around Static and Mobile Locations on a Discrete Global Grid System: An IoT Case Study., and . ISPRS Int. J. Geo Inf., 9 (5): 335 (2020)Towards a Spatio-Temporal Information System for Moving Objects., , , and . ICCSA (1), volume 6782 of Lecture Notes in Computer Science, page 1-16. Springer, (2011)Edge-Cloud Intelligence in Self-Diagnostic of Land Mobile Radio Systems., , and . WF-IoT, page 645-650. IEEE, (2021)Evaluating Multi-Global Server Architecture for Federated Learning., , , and . ICCE, page 1-6. IEEE, (2024)The role of an IoT platform in the design of real-time recommender systems., , , , , and . WF-IoT, page 448-453. IEEE Computer Society, (2016)Metadata behind the Interoperability of Wireless Sensor Networks., , and . Sensors, 9 (5): 3635-3651 (2009)