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TU Berlin

Inhalt des Dokuments

Publications

2

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).

Link to publication

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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3

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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Anja Feldmann, Manfred Hauswirth, Volker Markl (2017). Enabling Wide Area Data Analytics with Collaborative Distributed Processing Pipelines (CDPPs). 37th International Conference on Distributed Computing Systems, ICDCS

Link to publication Link to original publication

A

Volker Markl (2018). Mosaics in Big Data, Stratosphere, Apache Flink, and Beyond. ACM International Conference on Distributed and Event-based Systems (DEBS 2018):, 7-13.

Link to publication Link to original publication

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

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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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Max Heimel, Volker Markl (2012). A First Step Towards GPU-assisted Query Optimization. ADMS@VLDB, 33-44.

Link to original publication

Akbik Alan Julinda Silvia Boden Christoph (2014). Extracting a Repository of Events and Event References from News Clusters. Association for Computational Linguistics, S. 49-53.

Link to publication

B

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.

Link to publication Link to original publication

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