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Publications

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2019

Viktor Rosenfeld, Sebastian Breß, Steffen Zeuch, Tilmann Rabl, Volker Markl (2019). Performance Analysis and Automatic Tuning of Hash Aggregation on GPUs [23]. DaMoN ’19: Data Management on New Hardware. ACM, new York, NY, USA.

Link to publication [24]

Adrian Bartnik, Bonaventura Del Monte, Tilmann Rabl and Volker Markl (2019). On-the-fly Reconfiguration of Query Plans for Stateful Stream Processing Engines [25]. Tagungsband Datenbanksysteme für Business, Technologie und Web (BTW 2019), DBIS.

Link to publication [26] Link to original publication [27]

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 [28]. Tagungsband Datenbanksysteme für Business, Technologie und Web (BTW 2019), DBIS.

Link to publication [29] Link to original publication [30]

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 [31]. Tagungsband Datenbanksysteme für Business, Technologie und Web (BTW 2019), DBIS.

Link to publication [32] Link to original publication [33]

Ahmed Awad, Jonas Traub, Sherif Sakr (2019). AdaptiveWatermarks: A Concept Drift-based Approach for Predicting Event-Time Progress in Data Streams [34]. 22nd International Conference on Extending Database Technology (EDBT 2019).

Link to publication [35]

Ariane Ziehn, Marcela Charfuelan, Holmer Hemsen, Volker Markl (2019). Time Series Similarity Search for Streaming Data in Distributed Systems [36]. DARLI_AP Workshop, co-located with EDBT/ICDT 2019

Link to publication [37]

Jonas Traub, Philipp Grulich, Alejandro Rodríguez Cuéllar, Sebastian Breß, Asterios Katsifodimos, Tilmann Rabl, Volker Markl (2019). Efficient WindowAggregation with General Stream Slicing [38]. 22nd International Conference on Extending Database Technology (EDBT 2019).

Link to publication [39]

Jeyhun Karimov, Tilmann Rabl, Volker Markl (2019). AStream: Ad-hoc Shared Stream Processing [40]. ACM SIGMOD/PODS, Amsterdam, NL. 2019

Link to publication [41]

Behrouz Derakhshan, Alireza Rezaei Mahdiraji, Tilmann Rabl, Volker Markl (2019). Continuous Deployment of Machine Learning Pipelines [42]. proceedings of the 22nd International Conference on Extending Database Technology (EDBT), 397-408.

Link to publication [43] Link to original publication [44]

Alexander Renz-Wieland, Matthias Bertsch, Rainer Gemulla, (2019). Scalable Frequent Sequence Mining With Flexible Subsequence Constraints [45]. 35th IEEE International Conference on Data Engineering (ICDE 2019)

Link to publication [46]

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