Results 281 to 290 of about 1,372,066 (309)
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Statistics in Medicine, 2003
AbstractData mining strategies are usually applied to opportunistically collected data and frequently focus on the discovery of structure such as clusters, bumps, trends, periodicities, associations and correlations, quantization and granularity, and other structures for which a visual data analysis is very appropriate and quite likely to yield insight.
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AbstractData mining strategies are usually applied to opportunistically collected data and frequently focus on the discovery of structure such as clusters, bumps, trends, periodicities, associations and correlations, quantization and granularity, and other structures for which a visual data analysis is very appropriate and quite likely to yield insight.
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Visualization and Visual Analysis of Ensemble Data: A Survey
IEEE Transactions on Visualization and Computer Graphics, 2019Over the last decade, ensemble visualization has witnessed a significant development due to the wide availability of ensemble data, and the increasing visualization needs from a variety of disciplines. From the data analysis point of view, it can be observed that many ensemble visualization works focus on the same facet of ensemble data, use similar ...
Junpeng Wang +3 more
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2009
Visual data mining (VDM) is the process of interaction and analytical reasoning with one or more visual representations of abstract data. The process may lead to the visual discovery of robust patterns in these data or provide some guidance for the application of other data mining and analytics techniques.
Simoff, Simeon J. +2 more
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Visual data mining (VDM) is the process of interaction and analytical reasoning with one or more visual representations of abstract data. The process may lead to the visual discovery of robust patterns in these data or provide some guidance for the application of other data mining and analytics techniques.
Simoff, Simeon J. +2 more
openaire +2 more sources
Molecular imaging in oncology: Current impact and future directions
Ca-A Cancer Journal for Clinicians, 2022Martin G Pomper, Steven P Rowe
exaly
ImageGP: An easy‐to‐use data visualization web server for scientific researchers
iMeta, 2022Tong Chen, Yong-xin Liu, Luqi Huang
exaly
2007
This book explores the study of processing and visually representing data sets. Data visualization is closely related to information graphics, information visualization, scientific visualization, and statistical graphics. This second edition presents a better treatment of the relationship between traditional scientific visualization and information ...
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This book explores the study of processing and visually representing data sets. Data visualization is closely related to information graphics, information visualization, scientific visualization, and statistical graphics. This second edition presents a better treatment of the relationship between traditional scientific visualization and information ...
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3D Data Visualizer in Visual Basic
2004The application considered in this chapter follows very much the previous one in terms of the general architecture and how the designed model works in principle. The main difference is the incorporation of 3D graphical concepts to be able to visualize the contents of any 3D data file.
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