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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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發(fā)表于 2025-3-21 18:34:06 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Data Visualization
副標題The State of the Art
編輯Frits H. Post,Gregory M. Nielson,Georges-Pierre Bo
視頻videohttp://file.papertrans.cn/264/263183/263183.mp4
叢書名稱The Springer International Series in Engineering and Computer Science
圖書封面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
描述Data visualization is currently a very active and vital area of research, teaching and development. The term unites the established field of scientific visualization and the more recent field of information visualization. The success of data visualization is due to the soundness of the basic idea behind it: the use of computer-generated images to gain insight and knowledge from data and its inherent patterns and relationships. A second premise is the utilization of the broad bandwidth of the human sensory system in steering and interpreting complex processes, and simulations involving data sets from diverse scientific disciplines and large collections of abstract data from many sources. .These concepts are extremely important and have a profound and widespread impact on the methodology of computational science and engineering, as well as on management and administration. The interplay between various application areas and their specific problem solving visualization techniques is emphasized in this book. Reflecting the heterogeneous structure of Data Visualization, emphasis was placed on these topics: .-Visualization Algorithms and Techniques; .-Volume Visualization; .-Information
出版日期Book 2003
關(guān)鍵詞3D; Administration; DOM; algorithms; computer; computer science; data structures; modeling; optimization; ren
版次1
doihttps://doi.org/10.1007/978-1-4615-1177-9
isbn_softcover978-1-4613-5430-7
isbn_ebook978-1-4615-1177-9Series ISSN 0893-3405
issn_series 0893-3405
copyrightSpringer Science+Business Media New York 2003
The information of publication is updating

書目名稱Data Visualization影響因子(影響力)




書目名稱Data Visualization影響因子(影響力)學(xué)科排名




書目名稱Data Visualization網(wǎng)絡(luò)公開度




書目名稱Data Visualization網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Data Visualization被引頻次




書目名稱Data Visualization被引頻次學(xué)科排名




書目名稱Data Visualization年度引用




書目名稱Data Visualization年度引用學(xué)科排名




書目名稱Data Visualization讀者反饋




書目名稱Data Visualization讀者反饋學(xué)科排名




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發(fā)表于 2025-3-21 22:53:28 | 只看該作者
0893-3405 ogeneous structure of Data Visualization, emphasis was placed on these topics: .-Visualization Algorithms and Techniques; .-Volume Visualization; .-Information 978-1-4613-5430-7978-1-4615-1177-9Series ISSN 0893-3405
板凳
發(fā)表于 2025-3-22 03:07:37 | 只看該作者
Book 2003tween various application areas and their specific problem solving visualization techniques is emphasized in this book. Reflecting the heterogeneous structure of Data Visualization, emphasis was placed on these topics: .-Visualization Algorithms and Techniques; .-Volume Visualization; .-Information
地板
發(fā)表于 2025-3-22 05:51:20 | 只看該作者
Hierarchical Exploration of Large Multivariate Data Setse exploration without overloading the user with dense information displays. In this paper, we illustrate that our hierarchical displays are general by successfully applying them to four popular yet non-scalable visualizations, namely parallel coordinates, glyphs, scatterplot matrices and dimensional
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發(fā)表于 2025-3-22 10:35:28 | 只看該作者
Frits H. Post,Gregory M. Nielson,Georges-Pierre Bo
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發(fā)表于 2025-3-22 16:11:27 | 只看該作者
Mark G. Davies,Daynene Vykoukal3840x1024), at frame rates that are orders of magnitude higher in performance compared to those in the literature. The CellFast system combines an interactive renderer and automatic classification to make unstructured volume rendering more useful.
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發(fā)表于 2025-3-22 22:24:15 | 只看該作者
0893-3405 scientific visualization and the more recent field of information visualization. The success of data visualization is due to the soundness of the basic idea behind it: the use of computer-generated images to gain insight and knowledge from data and its inherent patterns and relationships. A second
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發(fā)表于 2025-3-23 05:26:29 | 只看該作者
P. Geyskens,A. der Kiureghian,G. De Roeckh cannot exploit specific knowledge of the scene geometry. However, there are still several issues open on the software side for significant performance improvements. In this paper, we discuss several of these techniques.
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發(fā)表于 2025-3-23 06:08:37 | 只看該作者
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