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Publications

2019

Viktor Rosenfeld, Sebastian Breß, Steffen Zeuch, Tilmann Rabl, Volker Markl (2019). Performance Analysis and Automatic Tuning of Hash Aggregation on GPUs. DaMoN ’19: Data Management on New Hardware. ACM, new York, NY, USA.

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Adrian Bartnik, Bonaventura Del Monte, Tilmann Rabl and Volker Markl (2019). On-the-fly Reconfiguration of Query Plans for Stateful Stream Processing Engines. Tagungsband Datenbanksysteme für Business, Technologie und Web (BTW 2019), DBIS.

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Mahdi Esmailoghli, Sergey Redyuk, Ricardo Martinez, Ariane Ziehn, Ziawasch Abedjan, Tilmann Rabl, Volker Markl (2019). On-the-fly Reconfiguration of Query Plans for Stateful Stream Processing Engine. Tagungsband Datenbanksysteme für Business, Technologie und Web (BTW 2019), DBIS.

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Sebastian Breß, Henning Funke, Steffen Zeuch, Tilmann Rabl, Volker Markl (2019). An Overview of Hawk: A Hardware-Tailored Code Generator for the Heterogeneous Many Core Age. Tagungsband Datenbanksysteme für Business, Technologie und Web (BTW 2019), DBIS.

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Ahmed Awad, Jonas Traub, Sherif Sakr (2019). AdaptiveWatermarks: A Concept Drift-based Approach for Predicting Event-Time Progress in Data Streams. 22nd International Conference on Extending Database Technology (EDBT 2019).

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Ariane Ziehn, Marcela Charfuelan, Holmer Hemsen, Volker Markl (2019). Time Series Similarity Search for Streaming Data in Distributed Systems. DARLI_AP Workshop, co-located with EDBT/ICDT 2019

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Jonas Traub, Philipp Grulich, Alejandro Rodríguez Cuéllar, Sebastian Breß, Asterios Katsifodimos, Tilmann Rabl, Volker Markl (2019). Efficient WindowAggregation with General Stream Slicing. 22nd International Conference on Extending Database Technology (EDBT 2019).

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Jeyhun Karimov, Tilmann Rabl, Volker Markl (2019). AStream: Ad-hoc Shared Stream Processing. Proceedings of the 2019 International Conference on Management of Data, 607–622.

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Behrouz Derakhshan, Alireza Rezaei Mahdiraji, Tilmann Rabl, Volker Markl (2019). Continuous Deployment of Machine Learning Pipelines. proceedings of the 22nd International Conference on Extending Database Technology (EDBT), 397-408.

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Alexander Renz-Wieland, Matthias Bertsch, Rainer Gemulla, (2019). Scalable Frequent Sequence Mining With Flexible Subsequence Constraints. 35th IEEE International Conference on Data Engineering (ICDE 2019)

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