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Publications

Displaying results 1671 to 1680 of 13867.

  1. Tobias Ziegler; Philip A. Bernstein; Viktor Leis; Carsten Binnig

    Is Scalable OLTP in the Cloud a Solved Problem?

    In: 13th Conference on Innovative Data Systems Research, CIDR 2023. Conference on Innovative Data Systems Research (CIDR-2023), January 8-11, Amsterdam, Netherlands, www.cidrdb.org, 2023.

  2. Benjamin Hättasch; Jan-Micha Bodensohn; Liane Vogel; Matthias Urban; Carsten Binnig

    WannaDB: Ad-hoc SQL Queries over Text Collections

    In: Birgitta König-Ries; Stefanie Scherzinger; Wolfgang Lehner; Gottfried Vossen (Hrsg.). Datenbanksysteme für Business, Technologie und Web (BTW 2023), 20. Fachtagung des GI-Fachbereichs ,,Datenbanken und Informationssysteme" (DBIS). GI-Fachtagungen (BTW), March 6-10, Dresden, Germany, Pages 157-181, LNI, Vol. P-331, Gesellschaft für Informatik e.V. 2023.

  3. Pratyush Agnihotri; Boris Koldehofe; Carsten Binnig; Manisha Luthra

    Zero-Shot Cost Models for Parallel Stream Processing

    In: Rajesh Bordawekar; Oded Shmueli; Yael Amsterdamer; Donatella Firmani; Andreas Kipf (Hrsg.). Proceedings of the Sixth International Workshop on Exploiting Artificial Intelligence Techniques for Data Management. International Workshop on Exploiting Artificial Intelligence Techniques for Data Management (aiDM-2023), aiDM@SIGMOD 2023, June 18, Seattle, WA, USA, Pages 5:1-5:5, ISBN 979-8-4007-0193-1, ACM, 2023.

  4. Meghdad Mirabi; Leila Fathi; Anton Dignös; Johann Gamper; Carsten Binnig

    A New Primitive for Processing Temporal Joins

    In: Proceedings of the 18th International Symposium on Spatial and Temporal Data, SSTD '23. International Symposium on Spatial and Temporal Data (SSTD-2023), August 23-25, Calgary, AB, Canada, Pages 106-109, ACM, 2023.

  5. Benjamin Hilprecht; Christian Hammacher; Eduardo Souza dos Reis; Mohamed Abdelaal; Carsten Binnig

    DiffML: End-to-end Differentiable ML Pipelines

    In: Proceedings of the Seventh Workshop on Data Management for End-to-End Machine Learning, DEEM 2023. Workshop on Data Management for End-to-End Machine Learning (DEEM-2023), June 18, Seattle, WA, USA, Pages 7:1-7:7, ISBN 979-8-4007-0204-4, ACM, 2023.

  6. Matthias Jasny; Lasse Thostrup; Carsten Binnig

    Zero-sided RDMA: Network-driven Data Shuffling

    In: Norman May; Nesime Tatbul (Hrsg.). Proceedings of the 19th International Workshop on Data Management on New Hardware, DaMoN 2023, Seattle, WA, USA, June 18-23, 2023. International Workshop on Data Management on New Hardware (DaMoN), Pages 82-85, ACM, 2023.

  7. Vitor Fortes Rey; Dominique Nshimyimana; Paul Lukowicz

    Don't freeze: Finetune encoders for better Self-Supervised HAR

    In: Monica Tentori; Nadir Weibel; Kristof Van Laerhoven; Zhongyi Zhou (Hrsg.). Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable. International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp-2023), ACM, 10/2023.

  8. Matthias Urban; Duc Dat Nguyen; Carsten Binnig

    OmniscientDB: A Large Language Model-Augmented DBMS That Knows What Other DBMSs Do Not Know

    In: Rajesh Bordawekar; Oded Shmueli; Yael Amsterdamer; Donatella Firmani; Andreas Kipf (Hrsg.). Proceedings of the Sixth International Workshop on Exploiting Artificial Intelligence Techniques for Data Management. International Workshop on Exploiting Artificial Intelligence Techniques for Data Management (aiDM-2023), aiDM@SIGMOD 2023, June 18, Seattle, WA, USA, Pages 4:1-4:7, ISBN 979-8-4007-0193-1, ACM, 2023.

  9. Carsten Binnig

    Technical Perspective for Skeena: Efficient and Consistent Cross-Engine Transactions

    In: SIGMOD Record, Vol. 52, No. 1, Pages 0-10, Association for Computing Machinery (ACM), 2023.

  10. Sven Langenecker; Christoph Sturm; Christian Schalles; Carsten Binnig

    Steered Training Data Generation for Learned Semantic Type Detection

    In: Proceedings of the ACM on Management of Data (PACMMOD), Vol. 1, No. 2, Pages 201:1-201:25, Association for Computing Machinery (ACM), 2023.

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