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Publikationen

Zeige Ergebnisse 4321 bis 4330 von 14804.

  1. Benjamin Hilprecht; Carsten Binnig; Uwe Röhm

    Learning a Partitioning Advisor for Cloud Databases

    In: David Maier; Rachel Pottinger; AnHai Doan; Wang-Chiew Tan; Abdussalam Alawini; Hung Q. Ngo (Hrsg.). Proceedings of the 2020 International Conference on Management of Data. ACM SIGMOD International Conference on Management of Data (SIGMOD-2020), June 14-19, Pages 143-157, ACM, 2020.

  2. Robin Rehrmann; Martin Keppner; Wolfgang Lehner; Carsten Binnig; Arne Schwarz

    Workload merging potential in SAP Hybris

    In: Pinar Tözün; Alexander Böhm (Hrsg.). Proceedings of the 8th International Workshop on Testing Database Systems. International Workshop on Testing Database Systems (DBTest-2020), DBTest@SIGMOD 2020, June 19, Portland, OR, USA, Pages 7:1-7:6, ACM, 2020.

  3. Benjamin Hättasch; Nadja Geisler; Christian M. Meyer; Carsten Binnig

    Summarization Beyond News: The Automatically Acquired Fandom Corpora

    In: Nicoletta Calzolari; Frédéric Béchet; Philippe Blache; Khalid Choukri; Christopher Cieri; Thierry Declerck; Sara Goggi; Hitoshi Isahara; Bente Maegaard; Joseph Mariani; Hélène Mazo; Asunción Moreno; Jan Odijk; Stelios Piperidis (Hrsg.). Proceedings of The 12th Language Resources and Evaluation Conference. International Conference on Language Resources and Evaluation (LREC-2020), May 11-16, Marseille, France, Pages 6700-6708, European Language Resources Association, 2020.

  4. Tiemo Bang; Norman May; Ilia Petrov; Carsten Binnig

    The tale of 1000 Cores: an evaluation of concurrency control on real(ly) large multi-socket hardware

    In: Danica Porobic; Thomas Neumann (Hrsg.). 16th International Workshop on Data Management on New Hardware. International Workshop on Data Management on New Hardware (DaMoN-2020), June 15, Portland, Oregon, USA, Pages 3:1-3:9, ACM, 2020.

  5. Benjamin Hilprecht; Carsten Binnig; Tiemo Bang; Muhammad El-Hindi; Benjamin Hättasch; Aditya Khanna; Robin Rehrmann; Uwe Röhm; Andreas Schmidt; Lasse Thostrup; Tobias Ziegler

    DBMS Fitting: Why should we learn what we already know?

    In: 10th Conference on Innovative Data Systems Research. Conference on Innovative Data Systems Research (CIDR-2020), January 12-15, Amsterdam, Netherlands, www.cidrdb.org, 2020.

  6. Robin Rehrmann; Carsten Binnig; Alexander Böhm; Kihong Kim; Wolfgang Lehner

    Sharing Opportunities for OLTP Workloads in Different Isolation Levels

    In: Proceedings of the VLDB Endowment (PVLDB), Vol. 13, No. 10, Pages 1696-1708, Association for Computing Machinery (ACM), 2020.

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

    DeepDB: Learn from Data, not from Queries!

    In: Proceedings of the VLDB Endowment (PVLDB), Vol. 13, No. 7, Pages 992-1005, Association for Computing Machinery (ACM), 2020.

  8. Sounak Kar; Robin Rehrmann; Arpan Mukhopadhyay; Bastian Alt; Florin Ciucu; Heinz Koeppl; Carsten Binnig; Amr Rizk

    On the Throughput Optimization in Large-scale Batch-processing Systems

    In: Performance Evaluation, Vol. 144, Pages 0-10, Elsevier, 2020.

  9. Fabian Maas genannt Bermpohl; Andreas Bresser

    Towards Autonomous Intralogistics: A Testbed Environment for the Coordination of a Robotic Fleet

    In: Proceedings of the International Conference on Automated Planning and Scheduling (ICAPS)---Workshop on Planning and Robotics (PlanRob). International Conference on Automated Planning and Scheduling (ICAPS-2020), October 20, Online, ICAPS, 10/2020.

  10. Andrea Galassi; Kristian Kersting; Marco Lippi; Xiaoting Shao; Paolo Torroni

    Neural-Symbolic Argumentation Mining: An Argument in Favor of Deep Learning and Reasoning

    In: Frontiers in Big Data, Vol. 2 - 2019, Pages 0-10, Frontiers, 1/2020.

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