Towards Democratizing Relational Data Visualization-Reference-Cited by-同舟云学术

Towards Democratizing Relational Data Visualization

Published:2019-06-25 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2019 International Conference on Management of Data
language:
Short-container-title:

Author:

Tang Nan¹,Wu Eugene²,Li Guoliang³

Affiliation:

1. Qatar Foundation, Doha, Qatar

2. Columbia University, New York, NY, USA

3. Tsinghua University, Beijing, China

Funder

973 Program of China

NSF of China

Huawei

TAL education

NSF

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3299869.3314029

Reference80 articles.

1. Sameer Agarwal Barzan Mozafari Aurojit Panda Henry Milner Samuel Madden and Ion Stoica. 2013. BlinkDB: Queries with Bounded Errors and Bounded Response Times on Very Large Data. In ACM 10.1145/2465351.2465355 Sameer Agarwal Barzan Mozafari Aurojit Panda Henry Milner Samuel Madden and Ion Stoica. 2013. BlinkDB: Queries with Bounded Errors and Bounded Response Times on Very Large Data. In ACM 10.1145/2465351.2465355

2. Christopher Ahlberg. 1996. Spotfire: an information exploration environment. In SIGMOD Record. ACM. 10.1145/245882.245893 Christopher Ahlberg. 1996. Spotfire: an information exploration environment. In SIGMOD Record. ACM. 10.1145/245882.245893

3. Daniel Alabi and Eugene Wu. 2016. PFunk-H: approximate query processing using perceptual models. In HILDA . 10.1145/2939502.2939512 Daniel Alabi and Eugene Wu. 2016. PFunk-H: approximate query processing using perceptual models. In HILDA . 10.1145/2939502.2939512

4. Leilani Battle Marco Angelini Carsten Binnig Tiziana Catarci Philipp Eichmann Jean-Daniel Fekete Giuseppe Santucci Michael Sedlmair and Wesley Willett. 2018. Evaluating Visual Data Analysis Systems: A Discussion Report. In HILDA . 10.1145/3209900.3209901 Leilani Battle Marco Angelini Carsten Binnig Tiziana Catarci Philipp Eichmann Jean-Daniel Fekete Giuseppe Santucci Michael Sedlmair and Wesley Willett. 2018. Evaluating Visual Data Analysis Systems: A Discussion Report. In HILDA . 10.1145/3209900.3209901

5. Position statement: The case for a visualization performance benchmark

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