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Publications

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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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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 and Rico Bergmann and Stephan Ewen and Johann-Christoph Freytag and Fabian Hueske and Arvid Heise and Odej Kao and Marcus Leich and Ulf Leser and Volker Markl and Felix Naumann and Mathias Peters and Astrid Rheinländer and Matthias J. Sax and Sebastian Schelter and Mareike Höger and Kostas Tzoumas and Daniel Warneke (2014). The Stratosphere platform for big data analytics. VLDB J., 939–964.

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Alexander Alexandrov and Christoph Brücke and Volker Markl (2013). Issues in big data testing and benchmarking. DBTest, 1.


Alexandrov, Alexander and Schiefer, Berni and Poelman, John and Ewen, Stephan and Bodner, Thomas and Markl, Volker (2011). Myriad - Parallel Data Generation on Shared-Nothing Architectures. Proceedings of the First Workshop on Architectures and Systems for Big Data (ASBD)

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Alexander Alexandrov and Asterios Katsifodimos and Georgi Krastev and Volker Markl (2016). Implicit Parallelism through Deep Language Embedding. SIGMOD Record, 51–58.

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Alexander Alexandrov and Stephan Ewen and Max Heimel and Fabian Hueske and Odej Kao and Volker Markl and Erik Nijkamp and Daniel Warneke (2011). MapReduce and PACT - Comparing Data Parallel Programming Models. BTW

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Alexander Alexandrov and Andreas Kunft and Asterios Katsifodimos and Felix Schüler and Lauritz Thamsen and Odej Kao and Tobias Herb and Volker Markl (2015). Implicit Parallelism through Deep Language Embedding. Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31 - June 4, 2015, 47–61.

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Sihem Amer-Yahia and Volker Markl and Alon Y. Halevy and AnHai Doan and Gustavo Alonso and Donald Kossmann and Gerhard Weikum (2008). Databases and Web 2.0 panel at VLDB 2007. SIGMOD Record, 49-52.


Andreas Kunft, Asterios Katsifodimos, Sebastian Schelter, Tilmann Rabl, Volker Markl (2017). BlockJoin: Efficient Matrix Partitioning Through Joins.. In the Proceedings of the VLDB Endowment, Vol. 10, No. 13. 2017 (to be presented in VLDB 2018)

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