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Publications

Displaying results 1131 to 1140 of 6338.

  1. Roman Heinrich; Manisha Luthra; Johannes Wehrstein; Harald Kornmayer; Carsten Binnig

    How Good are Learned Cost Models, Really? Insights from Query Optimization Tasks

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2502.01229, Pages 1-27, arXiv, 2025.

  2. Juan Trujillo; Ana Lavalle; Alejandro Reina-Reina; Jorge García-Carrasco; Alejandro Maté; Wolfgang Maaß

    An integrated requirements framework for analytical and AI projects

    In: Data & Knowledge Engineering (DKE), Vol. 161, Page 102493, Elsevier, 2026.

  3. Pratyush Agnihotri; Carsten Binnig

    Demonstrating PDSP-Bench: A Benchmarking System for Parallel and Distributed Stream Processing

    In: Volker Markl; Joseph M. Hellerstein; Azza Abouzied (Hrsg.). Companion of the 2025 International Conference on Management of Data, SIGMOD/PODS 2025, Berlin, Germany, June 22-27, 2025. ACM SIGMOD International Conference on Management of Data (SIGMOD), Pages 7-10, ACM, 2025.

  4. Johannes Wehrstein; Tiemo Bang; Roman Heinrich; Carsten Binnig

    GRACEFUL: A Learned Cost Estimator for UDFs

    In: 41st IEEE International Conference on Data Engineering, ICDE 2025, Hong Kong, May 19-23, 2025. IEEE International Conference on Data Engineering (ICDE), Pages 2450-2463, IEEE, 2025.

  5. Adrian Lutsch; Muhammad El-Hindi; Matthias Heinrich; Daniel Ritter; Zsolt István; Carsten Binnig

    Benchmarking Analytical Query Processing in Intel SGXv2

    In: Alkis Simitsis; Bettina Kemme; Anna Queralt; Oscar Romero; Petar Jovanovic (Hrsg.). Proceedings 28th International Conference on Extending Database Technology, EDBT 2025, Barcelona, Spain, March 25-28, 2025. International Conference on Extending Database Technology (EDBT), Pages 516-528, OpenProceedings.org, 2025.

  6. Jigao Luo; Nils Boeschen; Tobias Ziegler; Carsten Binnig

    An Evaluation of NVMe-over-Fabrics for Disaggregated Databases over Fast Networks

    In: Meike Klettke; Ralf Schenkel; Andreas Henrich; Daniela Nicklas; Maximilian E. Schüle; Klaus Meyer-Wegener (Hrsg.). Datenbanksysteme für Business, Technologie und Web (BTW 2025), 21. Fachtagung des GI-Fachbereichs ,,Datenbanken und Informationssysteme" (DBIS), 03.-07, März 2025, Bamberg, Germany, Proceedings. GI-Fachtagungen (BTW), Pages 113-125, LNI, Vol. P-361, Gesellschaft für Informatik e.V. 2025.

  7. Carsten Binnig

    Technical Perspective on 'BOSS - An Architecture for Database Kernel Composition'

    In: SIGMOD Record, Vol. 54, No. 1, Pages 1-1, SIGMOD, 2025.

  8. Ajay Dholakia; David Ellison; Miro Hodak; Debojyoti Dutta; Carsten Binnig

    Benchmarking Generative AI Performance Requires a Holistic Approach

    In: Raghunath Nambiar; Meikel Poess (Hrsg.). Performance Evaluation and Benchmarking: 15th TPC Technology Conference, TPCTC 2023, Vancouver, BC, Canada, August 28 - September 1, 2023, Revised Selected Papers. Technology Conference on Performance Evaluation and Benchmarking (TPCTC), Pages 34-43, Lecture Notes in Computer Science, Vol. 14247, Springer, 2023.

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

    Pythagoras: Semantic Type Detection of Numerical Data Using Graph Neural Networks

    In: Michael Leyer; Johannes Wichmann (Hrsg.). Lernen, Wissen, Daten, Analysen (LWDA) Conference Proceedings, Marburg, Germany, October 9-11, 2023. GI-Workshop-Tage "Lernen, Wissen, Daten, Analysen" (LWDA), Pages 146-152, CEUR Workshop Proceedings, Vol. 3630, CEUR-WS.org, 2023.

  10. Meghdad Mirabi; René Klaus Nikiel; Carsten Binnig

    SafeML: A Privacy-Preserving Byzantine-Robust Framework for Distributed Machine Learning Training

    In: Jihe Wang; Yi He; Thang N. Dinh; Christan Grant; Meikang Qiu; Witold Pedrycz (Hrsg.). 23rd IEEE International Conference on Data Mining Workshops - ICDMW 2023. International Workshop on Trustworthy Knowledge Discovery and Data Mining (TrustKDD-2023), December 1, Shanghai, China, Pages 207-216, IEEE, 2023.

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