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Titlebook: Data Visualization; The State of the Art Frits H. Post,Gregory M. Nielson,Georges-Pierre Bo Book 2003 Springer Science+Business Media New Y

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樓主: Inspection
41#
發(fā)表于 2025-3-28 18:13:19 | 只看該作者
42#
發(fā)表于 2025-3-28 21:31:17 | 只看該作者
Computational Surgery and Dual Trainingtem based on a client/server model. The system supports various output media from immersive 3-D environments to desktop based rendering systems. It uses web-based transport mechanisms to transfer the data between the server and the client application. This allows us to access and explore large-scale
43#
發(fā)表于 2025-3-29 00:25:21 | 只看該作者
Hua Ren,Shanda Blackmon,Bin S. Tehls produce hundreds of reports that are not particularly useful. The problem with fixed web reports, and report-based analysis in general, is that reports only answer specific, predefined questions that are insufficient for today’s highly competitive and rapidly changing businesses. To overcome this
44#
發(fā)表于 2025-3-29 07:07:13 | 只看該作者
E. Brian Butler,Paul E. Sovelius,Nancy Huynhhat allows ready interpretation. Due to the size of the screen and number of pixels available, visualizing more than a few thousand data points generally leads to clutter and occlusion. This in turn restricts our ability to detect, classify, and measure phenomena of interest, such as clusters, anoma
45#
發(fā)表于 2025-3-29 07:52:09 | 只看該作者
46#
發(fā)表于 2025-3-29 13:28:28 | 只看該作者
https://doi.org/10.1007/978-1-4614-8648-0n online diagnosis software and by visualizing the process data and the diagnosis results. In addition to measuring the available on-line data, we simulate the behavior of the biological processes in order to retrieve data on-line that normally only can be determined by analyzing water samples in th
47#
發(fā)表于 2025-3-29 15:56:00 | 只看該作者
48#
發(fā)表于 2025-3-29 20:12:32 | 只看該作者
49#
發(fā)表于 2025-3-30 00:42:26 | 只看該作者
Data Visualization978-1-4615-1177-9Series ISSN 0893-3405
50#
發(fā)表于 2025-3-30 07:40:33 | 只看該作者
Computational Stochastic Programmingon and pass separation and how these have been used to automatically produce more efficient implementations and how they can be used to design new algorithms. We conclude by discussing what we think are the applications were program specialization is most promising in visualization.
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