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PROTEUS: Scalable Online Machine Learning for Predictive Analytics and Real-Time Interactive Visualization.

, , , , and . EDBT/ICDT Workshops, volume 1810 of CEUR Workshop Proceedings, CEUR-WS.org, (2017)

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PROTEUS: Scalable Online Machine Learning for Predictive Analytics and Real-Time Interactive Visualization., , , , and . EDBT/ICDT Workshops, volume 1810 of CEUR Workshop Proceedings, CEUR-WS.org, (2017)Towards Unifying Query Interpretation and Compilation., , , , , , and . CIDR, www.cidrdb.org, (2023)Query Compilation Without Regrets., , , , , , and . Proc. ACM Manag. Data, 2 (3): 165 (2024)Rethinking Stateful Stream Processing with RDMA., , , and . SIGMOD Conference, page 1078-1092. ACM, (2022)Rhino: Efficient Management of Very Large Distributed State for Stream Processing Engines., , , and . SIGMOD Conference, page 2471-2486. ACM, (2020)Hardware-conscious techniques for efficient and reliable stateful stream processing.. Technical University of Berlin, Germany, (2023)The NebulaStream Platform for Data and Application Management in the Internet of Things., , , , , , , , and . CIDR, www.cidrdb.org, (2020)A scalable GPU-enabled framework for training deep neural networks., and . ICGHPC, page 1-8. IEEE, (2016)Fault Tolerance Placement in the Internet of Things., , , and . Proc. ACM Manag. Data, 2 (3): 138 (2024)On-the-fly Reconfiguration of Query Plans for Stateful Stream Processing Engines., , , and . BTW, volume P-289 of LNI, page 127-146. Gesellschaft für Informatik, Bonn, (2019)