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Publications

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H

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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Efficient Control Flow in Dataflow Systems: When Ease-of-Use Meets High Performance

Gábor E. Gévay, Tilmann Rabl, Sebastian Breß, Loránd Madai-Tahy, Jorge-Arnulfo Quiané-Ruiz, Volker Markl

ICDE 2021

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F

Expand your Training Limits! Generating Training Data for ML-based Data Management

Francesco Ventura, Zoi Kaoudi, Jorge Arnulfo Quiane Ruiz, Volker Markl

SIGMOD 2021

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From Cleaning before ML to Cleaning for ML

Felix Neutatz, Binger Chen, Ziawasch Abedjan, Eugene Wu

IEEE Data Engineering Bulletin 2021

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