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Scientific Visualization: The Visual Extraction of Knowledge from Data (Mathematics and Visualization)
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產品詳情
| Publisher | Springer |
| Publication date | 12 Feb. 2010 |
| Edition | Softcover reprint of hardcover 1st ed. 2006 |
| Language | English |
| Print length | 444 pages |
| ISBN-10 | 3642065392 |
| ISBN-13 | 978-3642065392 |
| Item weight | 617 g |
| Dimensions | 15.49 x 2.54 x 23.5 cm |
產品敘述
Scientific Visualization: The Visual Extraction of Knowledge from Data (Mathematics and Visualization)
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Graphics & Multimedia Editorial Review
Scientific Visualization: The Visual Extraction Of Knowledge From Data (Mathematics And Visualization) is a comprehensive text published by Springer on February 12, 2010. This softcover edition reprints the essential concepts from the original hardcover first published in 2006, expanding on the idea that visual representation is crucial for harnessing knowledge from data. With a substantial print length of 444 pages, the book delves into the methodologies of scientific visualization, catering to individuals keen on mastering the visual extraction of insight from complex data sets. Readers will appreciate its well-structured approach, making complex topics accessible in the English language.
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優點
- In-depth exploration of scientific visualization
- Published by reputable Springer
- Comprehensive 444-page content
- Softcover reprint of a well-regarded edition
- Detailed methodologies for data insight extraction
缺點
- Some may prefer hardcover editions over softcover
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特色和優勢
- Master overwhelming information flow with expert insights.
- Learn from leading specialists in scientific visualization.
- Explore various topics from user issues to medical visualization.
- Utilize over 350 vibrant color illustrations for enhanced understanding.
- Gain knowledge that addresses 21st-century scientific challenges.
- Perfect for researchers and professionals eager to improve data mastery.
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