The DOI matches its Crossref record; 35 of the 35 references it cites were found in a registry or an index.
Polaris: a system for query, analysis, and visualization of multidimensional relational databases
Abstract
In the last several years, large multidimensional databases have become common in a variety of applications, such as data warehousing and scientific computing. Analysis and exploration tasks place significant demands on the interfaces to these databases. Because of the size of the data sets, dense graphical representations are more effective for exploration than spreadsheets and charts. Furthermore, because of the exploratory nature of the analysis, it must be possible for the analysts to change visualizations rapidly as they pursue a cycle involving first hypothesis and then experimentation. In this paper, we present Polaris, an interface for exploring large multidimensional databases that extends the well-known pivot table interface. The novel features of Polaris include an interface for constructing visual specifications of table-based graphical displays and the ability to generate a precise set of relational queries from the visual specifications. The visual specifications can be rapidly and incrementally developed, giving the analyst visual feedback as he constructs complex queries and visualizations.
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Cites
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Information visualization and visual data mining
Keim, D. A. (2002) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/2945.981847 · Cited by 1,633
Vega-Lite: A Grammar of Interactive Graphics
Satyanarayan, A., Moritz, D., Wongsuphasawat, K., & Heer, J. (2017) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2016.2599030 · Cited by 883
prefuse: a toolkit for interactive information visualization
Heer, J., Card, S. K., & Landay, J. A. (2005) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems · doi:10.1145/1054972.1055031 · Cited by 802
ggplot2: Elegant Graphics for Data Analysis by WICKHAM, H.
Wilkinson, L. (2011) · Biometrics · doi:10.1111/j.1541-0420.2011.01616.x · Cited by 620
Voyager: Exploratory Analysis via Faceted Browsing of Visualization Recommendations
Wongsuphasawat, K., Moritz, D., Anand, A., Mackinlay, J., Howe, B., & Heer, J. (2016) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2015.2467191 · Cited by 507
Metadata
- Authors
- Stolte, C., Tang, D., & Hanrahan, P.
- Venue
- IEEE Transactions on Visualization and Computer Graphics
- Published
- 2002
- Volume
- 8
- Issue
- 1
- Pages
- 52-65
- ISSN
- 1077-2626 (ISSN-L)
- OpenAlex
- W2160382748
- Cited by
- 629
- References
- 35
- FWCI
- 16.85
- Type
- journal article
- Language
- en
- Open access
- closed
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- Stolte, C., Tang, D., & Hanrahan, P. (2002). Polaris: a system for query, analysis, and visualization of multidimensional relational databases. IEEE Transactions on Visualization and Computer Graphics. https://doi.org/10.1109/2945.981851
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
