Knowledge Visualization Currents
Springer London Ltd (Verlag)
978-1-4471-6181-3 (ISBN)
Dr. Francis T. Marchese is Professor of Computer Science at Pace University, New York, USA, where he is the founder and director of Pace’s Center for Advanced Media and the Pace Digital Gallery. Dr. Ebad Banissi is Professor of Business Informatics at London South Bank University, UK, where he heads the Visualisation and Graphics Research Unit.
Part I: Knowledge Visualization Background.- What is an Effective Knowledge Visualization?.- What Is Knowledge Visualization?.- Part II: Text.- Tables and Early Information Visualization.- Contract Clarity and Usability through Visualization.- From Culture to Text to Interactive Visualization of Wine Reviews.- Part III: Art.- Colorscore: Visualization and Condensation of Structure of Classical Music.- The Implications of David Hockney’s Thesis for 3D Computer Graphics.- Practice of Using Virtual Reconstruction in the Restoration of Monumental Painting.- Part IV: Culture.- Mediation of Knowledge Construction of Historic Sites.- Memory, Difference, and Information.- Cultural Data Sculpting.
“This may be the most readable anthology that I have ever read. Kudos to the editors, who must have turned a global kaleidoscope of writing styles into an incredibly consistent example of best practices for technical writing, worthy of use for teaching good writing. In fact, from the top-down, the organization, syntax, and even the vocabulary are strikingly clear.” (Chaim Scheff, ACM Computing Reviews, Apr 12 2013, Review #: CR141132)
Erscheint lt. Verlag | 9.11.2014 |
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Zusatzinfo | XVI, 224 p. |
Verlagsort | England |
Sprache | englisch |
Maße | 155 x 235 mm |
Themenwelt | Informatik ► Datenbanken ► Data Warehouse / Data Mining |
Mathematik / Informatik ► Informatik ► Grafik / Design | |
Informatik ► Software Entwicklung ► User Interfaces (HCI) | |
Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
Mathematik / Informatik ► Mathematik ► Graphentheorie | |
Schlagworte | Computergrafik • Data Mining |
ISBN-10 | 1-4471-6181-5 / 1447161815 |
ISBN-13 | 978-1-4471-6181-3 / 9781447161813 |
Zustand | Neuware |
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