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TU Berlin

Inhalt des Dokuments

Publikationen

2

AdaptiveWatermarks: A Concept Drift-based Approach for Predicting Event-Time Progress in Data Streams

Ahmed Awad, Jonas Traub, Sherif Sakr

22nd International Conference on Extending Database Technology (EDBT 2019). 2019

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Efficient WindowAggregation with General Stream Slicing

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

22nd International Conference on Extending Database Technology (EDBT 2019). 2019

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3

Scalable Frequent Sequence Mining With Flexible Subsequence Constraints

Alexander Renz-Wieland, Matthias Bertsch, Rainer Gemulla,

35th IEEE International Conference on Data Engineering (ICDE 2019) 2019

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Enabling Wide Area Data Analytics with Collaborative Distributed Processing Pipelines (CDPPs)

Anja Feldmann, Manfred Hauswirth, Volker Markl

37th International Conference on Distributed Computing Systems, ICDCS 2017

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A

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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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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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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A First Step Towards GPU-assisted Query Optimization

Max Heimel, Volker Markl

ADMS@VLDB, 33-44. 2012

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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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B

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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