Found 23 results
2007
The spatial-perceptual design space: a new comprehension for data visualization[dagger],
Rodrigues, J.F.; Traina, A.J.M.; de Oliveira, M.C.F.; Traina, C.
, Inf Visualization, nov, Volume 6, p.261-279, (2007)
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The spatial-perceptual design space: a new comprehension for data visualization[dagger],
Rodrigues, J.F.; Traina, A.J.M.; de Oliveira, M.C.F.; Traina, C.
, Inf Visualization, nov, Volume 6, p.261-279, (2007)
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Toward a Deeper Understanding of the Role of Interaction in Information Visualization,
Yi, J.S.; Yi, J.S.; ah Kang, Y.; ah Kang, Y.; Stasko, J.T.; Jacko, J.A.
, Visualization and Computer Graphics, IEEE Transactions on, Volume 13, p.1224-1231, (2007)
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2006
Visualization-based information retrieval on the Web,
Koshman, S.
, Library \& Information Science Research, Volume 28, p.192-207, (2006)
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Network Visualization by Semantic Substrates,
Shneiderman, B.; Shneiderman, B.; Aris, A.; Aris, A.
, Visualization and Computer Graphics, IEEE Transactions on, Volume 12, p.733-740, (2006)
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User Interaction with Scatterplots on Small Screens - A Comparative Evaluation of Geometric-Semantic Zoom and Fisheye Distortion,
Buering, T.; Buering, T.; Gerken, J.; Gerken, J.; Reiterer, H.
, Visualization and Computer Graphics, IEEE Transactions on, Volume 12, p.829-836, (2006)
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Visualization-based information retrieval on the Web,
Koshman, S.
, Library \& Information Science Research, Volume 28, p.192-207, (2006)
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2005
2004
Coordinated views and tight coupling to support meta searching,
Spoerri, A.
, Coordinated and Multiple Views in Exploratory Visualization, 2004. Proceedings. Second International Conference on, p.39-48, (2004)
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2003
2002
Information visualization and visual data mining,
Keim, D.A.; Keim, D.A.
, Transactions on Visualization and Computer Graphics, Volume 8, p.1-8, (2002)
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2000
A Taxonomy of Visualization Techniques Using the Data State Reference Model,
Chi, E.H.
, oct, (2000)
In previous work, researchers have attempted to construct taxonomies of information visualization techniques by examining the data domains that are compatible with these techniques. This is useful because implementers can quickly identify various techniques that can be applied to their domain of interest. However, these taxonomies do not help the implementers understand how to apply and implement these techniques. In this paper, we will extend and then propose a new way to taxonomize information visualization techniques by using the Data State Model [Chi98]. In fact, as the taxonomic analysis in this paper will show, many of the techniques share similar operating steps that can easily be reused. The paper shows that the Data State Model not only helps researchers understand the space of design, but also helps implementers understand how information visualization techniques can be applied more broadly.
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A Taxonomy of Visualization Techniques Using the Data State Reference Model,
Chi, E.H.
, oct, (2000)
In previous work, researchers have attempted to construct taxonomies of information visualization techniques by examining the data domains that are compatible with these techniques. This is useful because implementers can quickly identify various techniques that can be applied to their domain of interest. However, these taxonomies do not help the implementers understand how to apply and implement these techniques. In this paper, we will extend and then propose a new way to taxonomize information visualization techniques by using the Data State Model [Chi98]. In fact, as the taxonomic analysis in this paper will show, many of the techniques share similar operating steps that can easily be reused. The paper shows that the Data State Model not only helps researchers understand the space of design, but also helps implementers understand how information visualization techniques can be applied more broadly.
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1996
Navigating hierarchically clustered networks through fisheye and full-zoom methods,
Schaffer, D.; Zuo, Z.; Greenberg, S.; Bartram, L.; Dill, J.; Dubs, S.; Roseman, M.
, ACM Trans. Comput.-Hum. Interact, Volume 3, p.162-188, (1996)
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Navigating hierarchically clustered networks through fisheye and full-zoom methods,
Schaffer, D.; Zuo, Z.; Greenberg, S.; Bartram, L.; Dill, J.; Dubs, S.; Roseman, M.
, ACM Trans. Comput.-Hum. Interact, Volume 3, p.162-188, (1996)
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1995
IVEE: an Information Visualization and Exploration Environment,
Ahlberg, C.
, oct, (1995)
The Information Visualization and Exploration Environment (NEE) is a system for automatic creation of dynamic queries applications. IVEE imports database relations and automatically creates environments holding visualizations and query devices. IVEE offers multiple visualizations such as maps and starfields, and multiple query devices, such as sliders, alphasliders, and toggles. Arbitrary graphical objects can be attached to database objects in visualizations. Multiple visualizations may be active simultaneously. Users can interactively lay out and change between types of query devices. Users may retrieve details-on-demand by clicking on visualization objects. An HTML file may be provided along with the database, specifying how details-on-demand information should be presented, allowing for presentation of multimedia information in database objects. Finally, multiple IVEE clients running on separate workstations on a network can communicate by letting one user's actions affect the visualization in an another IVEE client.

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