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Data Visualization: Principles and Practice

5 out of 5 stars 1 customer review
ISBN-13: 978-1568813066
ISBN-10: 1568813066
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Editorial Reviews

Review

" ""An excellent reference for any advanced, college-level holding strong in computer graphics or data visualization techniques."" -The Midwest Book Review, April 2008
""For advanced undergraduate or early graduate students of computer science, mathematics, and engineering sciences, Telea introduces the principles of data visualization as it is practiced in such realms as signal theory, imaging, computer graphics, and statistics."" -BOOK NEWS Inc., June 2008"

About the Author

Alexandru C. Telea is Assistant Professor of Visualization and Computer Graphics at the Department of Computer Science of the Eindhoven University of Technology in The Netherlands. Since 2000 he has been working at the crossroads of data and information visualization, computer graphics, and software engineering. His recent research focus is software visualization, where he is working on techniques and tools that combine new parsing, interaction and rendering techniques to provide insight in industrial software projects of multimillion lines of code. He has co-authored over 80 scientific papers in national and international journals and conferences.
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Product Details

  • Hardcover: 460 pages
  • Publisher: A K Peters/CRC Press (December 4, 2007)
  • Language: English
  • ISBN-10: 1568813066
  • ISBN-13: 978-1568813066
  • Product Dimensions: 9 x 6.1 x 1 inches
  • Shipping Weight: 2 pounds (View shipping rates and policies)
  • Average Customer Review: 5.0 out of 5 stars  See all reviews (1 customer review)
  • Amazon Best Sellers Rank: #1,590,742 in Books (See Top 100 in Books)

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Top Customer Reviews

Format: Hardcover
Data visualization specialists use math, computer science and physics to create images that improve understanding of data sets, and this introductory text, perfect for college-level computer libraries and classroom assignment alike, offers a basic introduction to the field and its various visualization techniques. Here are cross-disciplinary keys to understanding such sets and how imaging and computer graphics works, with chapters blending math formulas with imaging techniques and specs. An excellent reference for any advanced, college-level holding strong in computer graphics or data visualization techniques.

Diane C. Donovan
California Bookwatch
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