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Breaking the Curse of Visual Data Exploration: Improving Analyses by Building Bridges between Data World and Real World.

, , , , and . VISIGRAPP (3: IVAPP), page 19-27. SciTePress, (2019)

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Virtualised e-Learning with real-time guarantees on the IRMOS platform., , , , , , , , , and 3 other author(s). SOCA, page 1-8. IEEE Computer Society, (2010)How to Make Sense of Team Sport Data: From Acquisition to Data Modeling and Research Aspects., , , , , , , , , and . Data, 2 (1): 2 (2017)Visual Analysis of Urban Traffic Data based on High-Resolution and High-Dimensional Environmental Sensor Data., , , , , and . EnvirVis@EuroVis, page 55-62. Eurographics Association, (2018)Dynamic Visual Abstraction of Soccer Movement, , , , , , and . Computer Graphics Forum, (2017)Network Management in Virtualized Infrastructures., , , , and . Achieving Real-Time in Distributed Computing, IGI Global, (2012)Run-time Support for Real-Time Multimedia in the Cloud., , , , and . REACTION, Universidad Carlos III de Madrid, (2013)Traversing Virtual Network Functions from the Edge to the Core: An End-to-End Performance Analysis., , , and . ISWCS, page 624-628. IEEE, (2019)Visual Analytics for Cooperative and Competitive Behavior in Team Sports. University of Konstanz, Germany, (2020)base-search.net (ftubkonstanz:oai:kops.uni-konstanz.de:123456789/49078).The Serverless Scheduling Problem and NOAH.. CoRR, (2018)ATLAS: Accurate Topology Level-of-Detail Abstraction System., , , and . NOMS, page 1-5. IEEE, (2014)