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TU Berlin

Inhalt des Dokuments

Publikationen


PGM/F: A Framework for the Optimization of Data Processing in Business Processes

Marko Vrhovnik and Oliver Suhre and Stephan Ewen and Holger Schwarz

ICDE, 1584-1587. 2008

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Situational Business Intelligence

Volker Markl

BIRTE (Informal Proceedings) 2008

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A Bayesian Approach to Estimating the Selectivity of Conjunctive Predicates

M. Heimel and Volker Markl and Keshava Murthy

BTW, 47-56. 2009

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Modeling and Analyzing Non-functional Properties to Support Software Integration

Henning Agt, Gregor Bauhoff, Ralf-Detlef Kutsche, Nikola Milanovic

Advanced Information Systems Engineering Workshops - CAiSE 2011 International Workshops, London, UK, June 20-24, 2011. Proceedings. Springer. 2011

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2

Efficient fault-tolerance for iterative graph processing on distributed dataflow systems

Xu, Chen; Holzemer, Markus; Kaul, Manohar; Markl, Volker

2016 IEEE 32nd International Conference on Data Engineering (ICDE), 613-624. 2016

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Benchmarking Distributed Stream Data Processing Systems

Jeyhun Karimov, Tilmann Rabl, Asterios Katsifodimos, Roman Samarev, Henri Heiskanen, Volker Markl

34th IEEE International Conference on Data Engineering, ICDE 2018, Paris, France, April 16-19, 2018, 1507-1518. 2018

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Efficient SIMD Vectorization for Hashing in OpenCL

Tobias Behrens Viktor Rosenfeld Jonas Traub Sebastian Breß Volker Markl

21th International Conference on Extending Database Technology (EDBT 2018). 2018, 489-492. 2018

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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 Window Aggregation 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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