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Database Systems and Information Management GroupPublications

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Publications

2019

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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Alexander Alexandrov, Georgi Krastev, Volker Markl (2019). Representations and Optimizations for Embedded Parallel Dataflow Languages. ACM Transactions on Database Systems (TODS 2019)

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Dimitrios Giouroukis, Julius Hülsmann, Janis von Bleichert, Morgan Geldenhuys, Tim Stullich, Felipe Gutierrez, Jonas Traub, Kaustubh Beedkar and Volker Markl (2019). Resense: Transparent Record and Replay of Sensor Data in the Internet of Things. Proceedings of the 22nd International Conferenceon Extending Database Technology

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2018

Tobias Behrens Viktor Rosenfeld Jonas Traub Sebastian Breß Volker Markl (2018). Efficient SIMD Vectorization for Hashing in OpenCL. 21th International Conference on Extending Database Technology (EDBT 2018). 2018, 489-492.

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Jonas Traub Philipp Grulich Alejandro Rodríıguez Cuéllar Sebastian Breß Asterios Katsifodimos Tilmann Rabl Volker Markl (2018). Scotty: Efficient Window Aggregation for out-of-order Stream Processing. International Conference on Data Engineering (ICDE 2018), 1300-1303.

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Clemens Lutz, Sebastian Breß, Tilmann Rabl, Steffen Zeuch, Volker Markl (2018). Efficient and Scalable k‑Means on GPUs. Datenbank-Spektrum 18(3), 157-169.


Chen Xu, Rudi Poepsel Lemaitre, Juan Soto, Volker Markl (2018). Fault-Tolerance for Distributed Iterative Dataflows in Action. PVLDB 11(12), 1990-1993.

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Sebastian Breß, Bastian Köcher, Henning Funke, Steffen Zeuch, Tilmann Rabl, Volker Markl (2018). Generating custom code for efficient query execution on heterogeneous processors. VLDB J. 27(6), 797-822.

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Quoc-Cuong To, Juan Soto, Volker Markl (2018). A survey of state management in big data processing systems. VLDB J. 27(6), 847-872.

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Niklas Stoehr, Johannes Meyer, Volker Markl, Qiushi Bai, Taewoo Kim, De-Yu Chen, Chen Li (2018). Heatflip: Temporal-Spatial Sampling for Progressive Heat Maps on Social Media Data. BigData 2018, 3723-3732.

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