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Inhalt des Dokuments

Publikationen

B


Large-Scale Data Stream Processing Systems

Paris Carbone, Gábor E. Gévay, Gábor Hermann, Asterios Katsifodimos, Juan Soto, Volker Markl, Seif Haridi

Book chapter on Large-Scale Data Stream Processing Systems, part of the Handbook of Big Data Technologies 2017 (Elsevier): 219-260. 2017

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Heatflip: Temporal-Spatial Sampling for Progressive Heat Maps on Social Media Data

Niklas Stoehr, Johannes Meyer, Volker Markl, Qiushi Bai, Taewoo Kim, De-Yu Chen, Chen Li

BigData 2018, 3723-3732. 2018

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A

Extracting a Repository of Events and Event References from News Clusters

Akbik Alan Julinda Silvia Boden Christoph

Association for Computational Linguistics, S. 49-53. 2014

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Extended Kalman Filter for Large Scale Vessels Trajectory Tracking in Distributed Stream Processing Systems

Katarzyna Juraszek, Nidhi Saini, Marcela Charfuelan, Holmer Hemsen, Volker Markl

Advanced Analytics and Learning on Temporal Data - 4th ECML PKDD Workshop, AALTD 2019, Würzburg, Germany, September 20, 2019, Revised Selected Papers 2019

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A First Step Towards GPU-assisted Query Optimization

Max Heimel, Volker Markl

ADMS@VLDB, 33-44. 2012

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Representations and Optimizations for Embedded Parallel Dataflow Languages

Alexander Alexandrov, Georgi Krastev, Volker Markl

ACM Transactions on Database Systems (TODS 2019) 2019

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Scotty: General and Efficient Open-Source Window Aggregation for Stream Processing Systems

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

ACM Transactions on Database Systems 2020

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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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Mosaics in Big Data, Stratosphere, Apache Flink, and Beyond

Volker Markl

ACM International Conference on Distributed and Event-based Systems (DEBS 2018):, 7-13. 2018

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