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Publications

A

Andreas Kunft, Lukas Stadler, Daniele Bonetta, Cosmin Basca, Jens Meiners, Sebastian Breß, Tilmann Rabl, Juan Fumero, Volker Markl (2018). ScootR: Scaling R Dataframes on Dataflow Systems. SoCC'18:, 288-300.

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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

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Julio C. S. dos Anjos and Marcos D. Assuncao and Jean Bez and Cláudio F. R. Geyer and Edison Pignaton de Freitas and Alexandre Carissimi and João Paulo Carvalho Lustosa da Costa and Gilles Fedak and Felix Freitag and Volker Markl and Paul Fergus and Rubem Pereira (2015). SMART: An Application Framework for Real Time Big Data Analysis on Heterogeneous Cloud Environments. 15th IEEE International Conference on Computer and Information Technology, CIT 2015; 14th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2015; 13th IEEE International Conference on Dependable, Autonomic and Secure, 199–206.

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Ariane Ziehn, Marcela Charfuelan, Holmer Hemsen, Volker Markl (2019). Time Series Similarity Search for Streaming Data in Distributed Systems. DARLI_AP Workshop, co-located with EDBT/ICDT 2019

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B

Dominic Battré and Stephan Ewen and Fabian Hueske and Odej Kao and Volker Markl and Daniel Warneke (2010). Nephele/PACTs: A Programming Model and Execution Framework for Web-Scale Analytical Processing. SoCC '10: Proceedings of the ACM Symposium on Cloud Computing 2010. ACM, 119–130.


Behrouz Derakhshan, Alireza Rezaei Mahdiraji, Tilmann Rabl, Volker Markl (2019). Continuous Deployment of Machine Learning Pipelines. proceedings of the 22nd International Conference on Extending Database Technology (EDBT), 397-408.

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Christoph Boden and Marcel Karnstedt and Miriam Fernández and Volker Markl (2013). Large-scale social-media analytics on stratosphere. WWW (Companion Volume), 257-260.


Bonaventura Del Monte, Jeyhun Karimov, Alireza Rezaei Mahdiraji, Tilmann Rabl, Volker Markl (2017). PROTEUS: Scalable Online Machine Learning for Predictive Analytics and Real-Time Interactive Visualization. in Proc. 20th International Conference on Extending Database Technology (EDBT)

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Falk Brauer and Marcus Schramm and Wojciech M. Barczynski and Alexander Löser and Hong-Hai Do (2008). Robust recognition of complex entities in text exploiting enterprise data and NLP-techniques. ICDIM, 551-558.


Breß, Sebastian; Funke, Henning; Teubner, Jens (2016). Robust Query Processing in Co-Processor-accelerated Databases. Proceedings of the 2016 International Conference on Management of Data, 1891-1906.

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