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Publications

H

Self-Tuning, GPU-Accelerated Kernel Density Models for Multidimensional Selectivity Estimation

Max Heimel and Martin Kiefer and Volker Markl

Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31 - June 4, 2015, 1477–1492. 2015

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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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Scaling a Public Transport Monitoring System to Internet of Things Infrastructures

Haralampos Gavriilidis, Adrian Michalke, Laura Mons, Steffen Zeuch, Volker Markl

EDBT/ICDT Joint Conference 2020

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Parallelizing query optimization

Wook-Shin Han and Wooseong Kwak and Jinsoo Lee and Guy M. Lohman and Volker Markl

PVLDB, 188-200. 2008

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Discovering and Exploiting Statistical Properties for Query Optimization in Relational Databases: A Survey

Peter J. Haas and Ihab F. Ilyas and Guy M. Lohman and Volker Markl

Statistical Analysis and Data Mining, 223-250. 2009

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G

Labyrinth: Compiling Imperative Control Flow to Parallel Dataflows

Gábor E. Gévay, Tilmann Rabl, Sebastian Breß, Lorand Madai-Tahy, Volker Markl

CoRR abs/1809.06845 2018

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F

Mapping enterprise entities to text segments

Falk Brauer, Alexander Löser, Hong-Hai Do

Proceedings of the 2nd PhD workshop on Information and knowledge management, 85-88. 2008

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E

Iterative parallel data processing with stratosphere: an inside look

Stephan Ewen and Sebastian Schelter and Kostas Tzoumas and Daniel Warneke and Volker Markl

SIGMOD Conference, 1053-1056. 2013

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Benchmarking in the Cloud: What It Should, Can, and Cannot Be

Enno Folkerts, Alexander Alexandrov, Kai Sachs, Alexandru Iosup, Volker Markl, Cafer Tosun

Selected Topics in Performance Evaluation and Benchmarking, Part of the Lecture Notes in Computer Science book series (LNCS), TPCTC 2012, 173-188. 2012

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D

Efficient Fault Tolerance for Massively Parallel Dataflow Systems

Sergej Dudoladov

Proceedings of the VLDB 2016 PhD Workshop, co-located with the 42nd International Conference on Very Large Databases 2016

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