The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.
Dynamic queries for visual information seeking
Open accessAbstract
Considers how dynamic queries allow users to "fly through" databases by adjusting widgets and viewing the animated results. In studies, users reacted to this approach with an enthusiasm more commonly associated with video games. Adoption requires research into retrieval and display algorithms and user-interface design. The author discusses how experts may benefit from visual interfaces because they will be able to formulate more complex queries and interpret intricate results.>
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Cites
R-trees: a dynamic index structure for spatial searching
Guttman, A. (1984) · Proceedings of the 1984 ACM SIGMOD international conference on Management of data - SIGMOD '84 · doi:10.1145/602259.602266 · Cited by 6,580
The visual display of quantitative information
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(2014) · Choice Reviews Online · doi:10.5860/choice.51-2713 · Cited by 4,651
The R*-tree: an efficient and robust access method for points and rectangles
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The design and analysis of spatial data structures
Samet, H. (1989) · CERN Document Server (European Organization for Nuclear Research) · Cited by 2,380
Direct Manipulation: A Step Beyond Programming Languages
Shneiderman (1983) · Computer · doi:10.1109/mc.1983.1654471 · Cited by 1,939
Tree-Maps: A Space Filling Approach to the Visualization of Hierarchical Information Structures
Johnson, B., & Shneiderman, B. (1991) · Cited by 1,121
Self-citationBecker, R. A., & Cleveland, W. S. (1987) · Technometrics · doi:10.1080/00401706.1987.10488204 · Cited by 696
Data Structures for Range Searching
Bentley, J. L., & Friedman, J. H. (1979) · ACM Computing Surveys · doi:10.1145/356789.356797 · Cited by 622
Tree-maps: a space-filling approach to the visualization of hierarchical information structures
Johnson, B., & Shneiderman, B. (2002) · Proceeding Visualization '91 · doi:10.1109/visual.1991.175815 · Cited by 611
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Keyword searching and browsing in databases using BANKS
Bhalotia, G., Hulgeri, A., Nakhe, C., Chakrabarti, S., & Sudarshan, S. (2003) · Proceedings 18th International Conference on Data Engineering · doi:10.1109/icde.2002.994756 · Cited by 871
The Eyes Have It: A Task by Data Type Taxonomy for Information Visualizations
Shneiderman, B. (2003) · The Craft of Information Visualization · doi:10.1016/b978-155860915-0/50046-9 · Cited by 515
Self-citationSpaceTree: supporting exploration in large node link tree, design evolution and empirical evaluation
Plaisant, C., Grosjean, J., & Bederson, B. B. (2003) · IEEE Symposium on Information Visualization, 2002. INFOVIS 2002. · doi:10.1109/infvis.2002.1173148 · Cited by 313
Heer, J., & Shneiderman, B. (2012) · Queue · doi:10.1145/2133416.2146416 · Cited by 269
Self-citationVisualizing multi-dimensional clusters, trends, and outliers using star coordinates
Kandogan, E. (2001) · Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining · doi:10.1145/502512.502530 · Cited by 264
Metadata
- Authors
- Shneiderman, B.
- Venue
- IEEE Software
- Published
- 1994-11
- Volume
- 11
- Issue
- 6
- Pages
- 70-77
- ISSN
- 0740-7459 (ISSN-L)
- OpenAlex
- W2153217804
- Cited by
- 573
- References
- 23
- FWCI
- 27.24
- Type
- journal article
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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