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Publications

Displaying results 511 to 520 of 14533.

  1. Jan-Micha Bodensohn; Carsten Binnig

    Rethinking Table Retrieval from Data Lakes

    In: Proceedings of the Seventh International Workshop on Exploiting Artificial Intelligence Techniques for Data Management, aiDM 2024, Santiago, Chile, 14 June 2024. International Workshop on Exploiting Artificial Intelligence Techniques for Data Management (aiDM), Pages 2:1-2:5, ACM, 2024.

  2. Matthias Urban; Carsten Binnig

    ELEET: Efficient Learned Query Execution over Text and Tables

    In: Proceedings of the VLDB Endowment (PVLDB), Vol. 17, No. 13, Pages 4867-4880, VLDB, 2024.

  3. Eduardo Souza dos Reis; Mohamed Abdelaal; Carsten Binnig

    Generalizable Data Cleaning of Tabular Data in Latent Space

    In: Proceedings of the VLDB Endowment (PVLDB), Vol. 17, No. 13, Pages 4786-4798, VLDP, 2024.

  4. Roman Heinrich; Oleksandr Havrylov; Manisha Luthra; Johannes Wehrstein; Carsten Binnig

    Opening The Black-Box: Explaining Learned Cost Models For Databases

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2507.14495, Pages 1-4, arXiv, 2025.

  5. Johannes Wehrstein; Timo Eckmann; Roman Heinrich; Carsten Binnig

    JOB-Complex: A Challenging Benchmark for Traditional & Learned Query Optimization

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2507.07471, Pages 1-8, a, 2025.

  6. Johannes Wehrstein; Timo Eckmann; Roman Heinrich; Carsten Binnig

    JOB-Complex: A Challenging Benchmark for Traditional & Learned Query Optimization

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2507.07471, Pages 1-14, arXiv, 2025.

  7. Pratyush Agnihotri; Boris Koldehofe; Roman Heinrich; Carsten Binnig; Manisha Luthra

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

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2504.10704, Pages 1-22, arXiv, 2025.

  8. Van Long Nguyen; Shaza Zeitouni; Carsten Binnig; Zsolt István

    Reflex: Speeding Up SMPC Query Execution through Efficient and Flexible Intermediate Result Size Trimming

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2503.20932, Pages 1-15, arXiv, 2025.

  9. 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.

  10. 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.

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