VizDeck: Self-Organizing Dashboards for Visual Analytics
Summary: VizDeck enables exploratory analytics on unorganized relational data. It recommends visualizations from statistics, and via a card-game metaphor assembles dashboards in seconds with no programming, enabling sharing and persistence. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Alicia Key (University of Washington)
- 2. Bill Howe (University of Washington)
- 3. Daniel Perry (University of Washington)
- 4. Cecilia Aragon (University of Washington)
BibTeX Citation
@inproceedings{key_sigmod12,
title = {{VizDeck: Self-Organizing Dashboards for Visual Analytics}},
author = {Key, Alicia and Howe, Bill and Perry, Daniel and Aragon, Cecilia},
series = {{SIGMOD} '12},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/2213836.2213931},
url = {https://dl.acm.org/doi/10.1145/2213836.2213931},
year = {2012}
}
Incoming Citations (Sorted by Pagerank)
Showing 12 of 12 citing papers.
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Outgoing Citations (Sorted by Pagerank)
Showing 1 of 1 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,520 | MashMaker: Mashups for the Masses | 2007 | SIGMOD | 7.3502313e-05 |
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