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Publikationen

 

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  1. Marcel Blöcher; Tobias Ziegler; Carsten Binnig; Patrick Eugster

    Boosting scalable data analytics with modern programmable networks

    In: Wolfgang Lehner; Kenneth Salem (Hrsg.). Proceedings of the 14th International Workshop on Data Management on New Hardware. International Workshop …

  2. Yeounoh Chung; Michael Lind Mortensen; Carsten Binnig; Tim Kraska

    Estimating the Impact of Unknown Unknowns on Aggregate Query Results

    In: ACM Transactions on Database Systems (TODS), Vol. 43, No. 1, Pages 3:1-3:37, Association for Computing Machinery (ACM), 2018.

  3. Robin Rehrmann; Carsten Binnig; Alexander Böhm; Kihong Kim; Wolfgang Lehner; Amr Rizk

    OLTPShare: The Case for Sharing in OLTP Workloads

    In: Proceedings of the VLDB Endowment (PVLDB), Vol. 11, No. 12, Pages 1769-1780, Association for Computing Machinery (ACM), 2018.

  4. Alex Galakatos; Michael Markovitch; Carsten Binnig; Rodrigo Fonseca; Tim Kraska

    A-Tree: A Bounded Approximate Index Structure

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1801.10207, Pages 0-10, arXiv, 2018.

  5. Avinesh P. V. S.; Carsten Binnig; Benjamin Hättasch; Christian M. Meyer; Orkan Özyurt

    Sherlock: A System for Interactive Summarization of Large Text Collections

    In: Proceedings of the VLDB Endowment (PVLDB), Vol. 11, No. 12, Pages 1902-1905, Association for Computing Machinery (ACM), 2018.

  6. Adapting to Dynamic User Environments in Complex Event Processing System using Transitions

    In: Proceedings of the 12th ACM International Conference on Distributed and Event-Based Systems. ACM International Conference on Distributed and …

  7. Moritz Kulessa; Alejandro Molina; Carsten Binnig; Benjamin Hilprecht; Kristian Kersting

    Model-based Approximate Query Processing

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1811.06224, Pages 0-10, arXiv, 2018.

  8. Robert Peharz; Antonio Vergari; Karl Stelzner; Alejandro Molina; Martin Trapp; Kristian Kersting; Zoubin Ghahramani

    Probabilistic Deep Learning using Random Sum-Product Networks

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1806.01910, Pages 0-10, arXiv, 2018.

  9. Stefano Teso; Kristian Kersting

    "Why Should I Trust Interactive Learners?" Explaining Interactive Queries of Classifiers to Users

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1805.08578, Pages 0-10, arXiv, 2018.

  10. Neural Conditional Gradients

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1803.04300, Pages 0-10, arXiv, 2018.