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Visualizing corporate data

IEEE Potentials, 1996
Visualization is an emerging technology for understanding large, complex, information-rich data sets. Just as spreadsheets revolutionized our ability to understand small amounts of data, visualization is revolutionizing the way we understand large data sets.
Stephen G. Eick, Daniel E. Fyock
openaire   +1 more source

Data, Information, and Knowledge in Visualization [PDF]

open access: yesIEEE Computer Graphics and Applications, 2009
This article proposes to help advance visualization technology from the interactive visualization of today to the knowledge-assisted visualization of tomorrow by defining data, information and knowledge in the context of ...
Gerik Scheuermann   +2 more
exaly   +3 more sources

The Role of Visual Perception in Data Visualization

Journal of Visual Languages & Computing, 2002
Abstract This paper presents a perceptually motivated formal framework for effective visualization of relational data. In this framework, the intended structure of data and the perceptual structure of visualizations are formally and uniformly defined in terms of relations that are induced on data and visual elements by data and visual attributes ...
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Data visualization in archaeology

IBM Systems Journal, 1989
Archaeological field work produces vast amounts of three-dimensionally recorded data which can only be analysed using computers. Developments in data-visualization techniques are continually increasing the volume and complexity of data that can be studied meaningfully.
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A visual data model

Data & Knowledge Engineering, 1992
Abstract The Visual Data Model VDM and the Visual Data Language VDL are introduced. They provide a unique approach to modelling and manipulating data through spatial arrangement of geometric objects. They are based on the functional data model and the clausal form of the first order logic; however all data and all database activities are represented ...
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The Visualization of Scientific Data

1989
Scientific Data Visualization is now a major topic of discussion initiated by the NSF Workshop Report that addressed the need for improved techniques for data visualization. In this paper we discuss how the various “classical” visualization techniques are being interpreted in current and evolving scientific visualization environments.
Georges G. Grinstein, R. Daniel Bergeron
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Massive Data Visualization

Computing in Science & Engineering, 1999
The old proverb, "And out of mind as soon as out of sight," attributed to Lord Brooke (1554(1628) generally referred to the passing of evil or harm. In the context of large-scale data analysis and simulation, however, it might foreshadow the loss of important information.
openaire   +1 more source

Visualization of big data

2015 IEEE 14th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC), 2015
Big data has many divergent types of sources, from physical (sensor/IoT) to social and cyber (web) types, rendering it messy, imprecise, and incomplete. Due to its quantitative (volume and velocity) and qualitative (variety) challenges, big data to the users resembles something like “the elephant to the blind men”.
openaire   +1 more source

Visual interfaces to data

Proceedings of the 2010 ACM SIGMOD International Conference on Management of data, 2010
Easy-to-use visual interfaces to data can broadly expand the audience for databases. Domain experts rather than database experts can engage in rapid-fire Q&A sessions with the data. Visual interfaces can provide a medium for story-telling, debate, and conversations about the data.
openaire   +2 more sources

Data visualization sliders

Proceedings of the 7th annual ACM symposium on User interface software and technology - UIST '94, 1994
Computer sliders are a generic user input mechanism for specifying a numeric value from a range. For data visualization, the effectiveness of sliders may be increased by using the space inside the slider as• an interactive color scale,• a barplot for discrete data, and• a density plot for continuous data.The idea is to show the selected values in ...
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