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Publikationen

Zeige Ergebnisse 51 bis 60 von 506
  1. Zheguang Zhao; Emanuel Zgraggen; Lorenzo De Stefani; Carsten Binnig; Eli Upfal; Tim Kraska

    Safe Visual Data Exploration

    In: Semih Salihoglu; Wenchao Zhou; Rada Chirkova; Jun Yang; Dan Suciu (Hrsg.). Proceedings of the 2017 ACM International Conference on Management of …

  2. Kayhan Dursun; Carsten Binnig; Ugur Çetintemel; Tim Kraska

    Revisiting Reuse in Main Memory Database Systems

    In: Semih Salihoglu; Wenchao Zhou; Rada Chirkova; Jun Yang; Dan Suciu (Hrsg.). Proceedings of the 2017 ACM International Conference on Management of …

  3. Zheguang Zhao; Lorenzo De Stefani; Emanuel Zgraggen; Carsten Binnig; Eli Upfal; Tim Kraska

    Controlling False Discoveries During Interactive Data Exploration

    In: Semih Salihoglu; Wenchao Zhou; Rada Chirkova; Jun Yang; Dan Suciu (Hrsg.). Proceedings of the 2017 ACM International Conference on Management of …

  4. Christoph Pinkel; Carsten Binnig; Ernesto Jiménez-Ruiz; Evgeny Kharlamov; Andriy Nikolov; Andreas Schwarte; Christian Heupel; Tim Kraska

    IncMap: A Journey towards Ontology-based Data Integration

    In: Bernhard Mitschang; Daniela Nicklas; Frank Leymann; Harald Schöning; Melanie Herschel; Jens Teubner; Theo Härder; Oliver Kopp; Matthias Wieland …

  5. Alex Galakatos; Andrew Crotty; Emanuel Zgraggen; Carsten Binnig; Tim Kraska

    Revisiting Reuse for Approximate Query Processing

    In: Proceedings of the VLDB Endowment (PVLDB), Vol. 10, No. 10, Pages 1142-1153, Association for Computing Machinery (ACM), 2017.

  6. Erfan Zamanian; Carsten Binnig; Tim Kraska; Tim Harris

    The End of a Myth: Distributed Transaction Can Scale

    In: Proceedings of the VLDB Endowment (PVLDB), Vol. 10, No. 6, Pages 685-696, Association for Computing Machinery (ACM), 2017.

  7. Abdallah Salama; Carsten Binnig; Tim Kraska; Ansgar Scherp; Tobias Ziegler

    Rethinking Distributed Query Execution on High-Speed Networks

    In: IEEE Data Engineering Bulletin, Vol. 40, No. 1, Pages 27-37, IEEE, 2017.

  8. DeepBIBX: Deep Learning for Image Based Bibliographic Data Extraction

    In: International Conference on Neural Information Processing. International Conference on Neural Information Processing (ICONIP-2017), 24th …

  9. Peter Fettke; Robert Risse; Fritz Esterer

    Anwendungspotentiale von Deep Learning im Process Mining in der Steuerabteilung am Beispiel von Henkel

    In: IM+io, Vol. 4, Pages 84-89, AWSI Publishing, 12/2017.

  10. Olga Zlatkin-Troitschanskaia; Gabriel Wittum; Andreas Dengel (Hrsg.)

    Positive Learning in the Age of Information (PLATO) - A blessing or a curse?

    ISBN 978-3-658-19566-3, Springer VS, Wiesbaden, 12/2017.