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Publications

Displaying results 1421 to 1430 of 13867.

  1. Leilani Battle; Philipp Eichmann; Marco Angelini; Tiziana Catarci; Giuseppe Santucci; Yukun Zheng; Carsten Binnig; Jean-Daniel Fekete; Dominik Moritz

    Database Benchmarking for Supporting Real-Time Interactive Querying of Large Data

    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 1571-1587, ACM, 2020.

  2. Muhammad El-Hindi; Martin Heyden; Carsten Binnig; Ravi Ramamurthy; Arvind Arasu; Donald Kossmann

    BlockchainDB - Towards a Shared Database on Blockchains

    In: Peter A. Boncz; Stefan Manegold; Anastasia Ailamaki; Amol Deshpande; Tim Kraska (Hrsg.). Proceedings of the 2019 International Conference on Management of Data, SIGMOD Conference 2019. ACM SIGMOD International Conference on Management of Data (SIGMOD-2019), June 30 - July 5, Amsterdam, Netherlands, Pages 1905-1908, ACM, 2019.

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

    FITing-Tree: A Data-aware Index Structure

    In: Peter A. Boncz; Stefan Manegold; Anastasia Ailamaki; Amol Deshpande; Tim Kraska (Hrsg.). Proceedings of the 2019 International Conference on Management of Data, SIGMOD Conference 2019. ACM SIGMOD International Conference on Management of Data (SIGMOD-2019), June 30 - July 5, Amsterdam, Netherlands, Pages 1189-1206, ACM, 2019.

  4. Zeyuan Shang; Emanuel Zgraggen; Benedetto Buratti; Ferdinand Kossmann; Philipp Eichmann; Yeounoh Chung; Carsten Binnig; Eli Upfal; Tim Kraska

    Democratizing Data Science through Interactive Curation of ML Pipelines

    In: Peter A. Boncz; Stefan Manegold; Anastasia Ailamaki; Amol Deshpande; Tim Kraska (Hrsg.). Proceedings of the 2019 International Conference on Management of Data, SIGMOD Conference 2019. ACM SIGMOD International Conference on Management of Data (SIGMOD-2019), June 30 - July 5, Amsterdam, Netherlands, Pages 1171-1188, ACM, 2019.

  5. Philipp Eichmann; Emanuel Zgraggen; Carsten Binnig; Tim Kraska

    IDEBench: A Benchmark for Interactive Data Exploration

    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 1555-1569, ACM, 2020.

  6. Matthias Jasny; Tobias Ziegler; Tim Kraska; Uwe Röhm; Carsten Binnig

    DB4ML - An In-Memory Database Kernel with Machine Learning Support

    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 159-173, ACM, 2020.

  7. 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.

  8. 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.

  9. 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.

  10. 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.

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