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AStream: Ad-hoc Shared Stream Processing

Jeyhun Karimov, Tilmann Rabl, Volker Markl

Proceedings of the 2019 International Conference on Management of Data (SIGMOD 2019), 607–622. 2019

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Benchmarking Distributed Stream Data Processing Systems

Jeyhun Karimov, Tilmann Rabl, Asterios Katsifodimos, Roman Samarev, Henri Heiskanen, Volker Markl

34th IEEE International Conference on Data Engineering, ICDE 2018, Paris, France, April 16-19, 2018, 1507-1518. 2018

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Operators for Analyzing and Modifying\\Probabilistic Data – A Question of Efficiency

Jochen Adamek, Katrin Eisenreich, Volker Markl, Philipp Roesch

Proc. of BTW '11 2011

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Efficient Window Aggregation with General Stream Slicing

Jonas Traub, Philipp Grulich, Alejandro Rodríguez Cuéllar, Sebastian Breß, Asterios Katsifodimos, Tilmann Rabl, Volker Markl

22nd International Conference on Extending Database Technology (EDBT 2019). 2019

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I²: Interactive Real-Time Visualization for Streaming Data.

Jonas Traub, Nikolaas Steenbergen, Philipp Grulich, Tilmann Rabl, and Volker Markl.

in Proc. 20th International Conference on Extending Database Technology (EDBT), March 21-24, 2017. 2017

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Agora: Towards An Open Ecosystem for Democratizing Data Science & Artificial Intelligence

Jonas Traub, Jorge-Arnulfo Quiané-Ruiz, Zoi Kaoudi, Volker Markl

CoRR abs/1909.03026 2019

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Optimized On-Demand Data Streaming from Sensor Nodes

Jonas Traub, Sebastian Breß, Tilmann Rabl, Asterios Katsifodimos, Volker Markl

In Proceedings of SoCC ’17, Santa Clara, CA, USA, September 24–27, 12. 2017

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M4: A Visualization-Oriented Time Series Data Aggregation

Uwe Jugel and Zbigniew Jerzak and Gregor Hackenbroich and Volker Markl

PVLDB, 797–808. 2014

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Faster Visual Analytics through Pixel-Perfect Aggregation

Uwe Jugel and Zbigniew Jerzak and Gregor Hackenbroich and Volker Markl

PVLDB, 1705–1708. 2014

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VDDA: automatic visualization-driven data aggregation in relational databases

Uwe Jugel and Zbigniew Jerzak and Gregor Hackenbroich and Volker Markl

VLDB J., 53–77. 2016

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