Database Benchmarking for Supporting Real-Time Interactive Querying of Large Data-Reference-Cited by-同舟云学术

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

Published:2020-06-11 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data
language:
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Author:

Battle Leilani¹,Eichmann Philipp²,Angelini Marco³,Catarci Tiziana³,Santucci Giuseppe³,Zheng Yukun¹,Binnig Carsten⁴,Fekete Jean-Daniel⁵,Moritz Dominik⁶

Affiliation:

1. University of Maryland, College Park, MD, USA

2. Brown University, Providence, RI, USA

3. University of Rome "La Sapienza", Rome, Italy

4. Technical University of Darmstadt, Darmstadt, Germany

5. Inria, Univ. Paris-Saclay, CNRS, Orsay, France

6. University of Washington, Seattle, WA, USA

Funder

Gordon and Betty Moore Foundation

National Science Foundation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3318464.3389732

Reference68 articles.

2. Online algorithms: a survey

3. Futzing and Moseying: Interviews with Professional Data Analysts on Exploration Practices

4. Steering the Craft: UI Elements and Visualizations for Supporting Progressive Visual Analytics

5. Evaluating Visual Data Analysis Systems

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