Results 1 - 10 of 1,196

Dimensional anchors: A graphic primitive for multidimensional multivariate information visualizations

by Patrick Hoffman, Georges Grinstein, David Pinkney - In Proc of the NPIV 99 , 1999
"... ..."
Abstract - Cited by 49 (3 self) - Add to MetaCart
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The eyes have it: A task by data type taxonomy for information visualizations

by Ben Shneiderman - IN IEEE SYMPOSIUM ON VISUAL LANGUAGES , 1996
"... A useful starting point for designing advanced graphical user interjaces is the Visual lnformation-Seeking Mantra: overview first, zoom and filter, then details on demand. But this is only a starting point in trying to understand the rich and varied set of information visualizations that have been ..."
Abstract - Cited by 1265 (28 self) - Add to MetaCart
A useful starting point for designing advanced graphical user interjaces is the Visual lnformation-Seeking Mantra: overview first, zoom and filter, then details on demand. But this is only a starting point in trying to understand the rich and varied set of information visualizations that have been

Dynamic Queries for Visual Information Seeking

by Ben Shneiderman - IEEE Software , 1994
"... Dynamic queries are a novel approach to information seeking that may enable users to cope with information overload. They allow users to see an overview of the database, rapidly (100 msec updates) explore and conveniently filter out unwanted information. Users fly through information spaces by incre ..."
Abstract - Cited by 298 (35 self) - Add to MetaCart
, colors, and areas; multidimensional pointing; incorporation of sound and visual displ...

30 Years of Multidimensional Multivariate Visualization

by Pak Chung Wong, R. Daniel Bergeron , 1997
"... We present a survey of multidimensional multivariate (mdmv) visualization techniques developed during the last three decades. This subfield of scientific visualization deals with the analysis of data with multiple parameters or factors, and the key relationships among them. The course of developme ..."
Abstract - Cited by 104 (4 self) - Add to MetaCart
We present a survey of multidimensional multivariate (mdmv) visualization techniques developed during the last three decades. This subfield of scientific visualization deals with the analysis of data with multiple parameters or factors, and the key relationships among them. The course

Multivariate Visualization ____________________________

by Lloyd Treinish
"... In our ongoing quest to convey more information more clearly in a single image, harnessing the full potential of texture for data representation remains an elusive goal. Others have begun excellent work in this area, 1-3 and my efforts are inspired by their example. The grail that I seek is a partia ..."
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partially ordered multidimensional palette of richly detailed and varying texture patterns that can be used—in conjunction with lightness and hue—to represent multivariate information. The goal is to facilitate the flexible visual appreciation of the correlations of various quantities across the different

Bead: Explorations in Information Visualization

by Matthew Chalmers, Paul Chitson - In Proceedings of ACM SIGIR , 1992
"... We describe work on the visualization of bibliographic data and, to aid in this task, the application of numerical techniques for multidimensional scaling. Many areas of scientific research involve complex multivariate data. One example of this is Information Retrieval. Document comparisons may be d ..."
Abstract - Cited by 109 (0 self) - Add to MetaCart
We describe work on the visualization of bibliographic data and, to aid in this task, the application of numerical techniques for multidimensional scaling. Many areas of scientific research involve complex multivariate data. One example of this is Information Retrieval. Document comparisons may

A Framework for the Visualization of Multidimensional and Multivariate Data

by Selan Rodrigues Dos Santos , 2004
"... The candidate confirms that the work submitted is his own and that the appropriate credit has been given where reference has been made to the work of others. High dimensionality is a major challenge for data visualization. Parameter optimiza-tion problems require an understanding of the behaviour of ..."
Abstract - Cited by 1 (0 self) - Add to MetaCart
these attributes- this is multivariate visualization and is an important aspect of information visualization. Common to both types of ‘high dimensional ’ visualization is a need to reduce the dimensionality for display. Although multidimensional and multivariate data are quite distinct, we show that a common

Visualization of Multivariate Data

by Dr. Yan Liu
"... Multivariate (Multidimensional) Visualization Visualization of datasets that have more than three variables “Curse of dimension ” is a trouble issue in information visualization Most familiar plots can accommodate up to three dimensions adequately ..."
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Multivariate (Multidimensional) Visualization Visualization of datasets that have more than three variables “Curse of dimension ” is a trouble issue in information visualization Most familiar plots can accommodate up to three dimensions adequately

VisDB: Database exploration using multidimensional visualization

by Daniel A. Keim, Daniel A. Keim, Hans-peter Kriegel - COMPUTER GRAPHICS AND APPLICATIONS, IEEE , 1994
"... In this paper we describe the VisDB system, which allows an exploration of large databases using visualization techniques. The goal of the system is to support the query specification process by using each pixel of the display to represent one data item of the database. By arranging and coloring the ..."
Abstract - Cited by 121 (8 self) - Add to MetaCart
In this paper we describe the VisDB system, which allows an exploration of large databases using visualization techniques. The goal of the system is to support the query specification process by using each pixel of the display to represent one data item of the database. By arranging and coloring

Multidimensional Detective

by Alfred Inselberg, Tova Avidan - in Proc. of IEEE Information Visualization ’97 , 1997
"... Automation has arrived to Parallel Coordinates. A geometrically motivated classifier is presented and applied, with both training and testing stages, to 3 real datasets. Our results compared to those from 23 other classifiers have the least error. The algorithm is based on parallel coordinates and: ..."
Abstract - Cited by 101 (1 self) - Add to MetaCart
datasets. Though it is instructive to present the results visually, the input size is no longer display-limited as for visual data mining. Motivation and the Algorithm T he display of multivariate datasets in parallel coordinates (abbr. k-coords) transforms the search for relations into a 2-D pattern
Results 1 - 10 of 1,196