Adaptive Semantics Visualization
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Author
Contributions
- Kawa Nazemi - Author
Publication
2016 - Springer International Publishing. Studies in Computational Intelligence., Switzerland
Language
English
Word Count
105,500 words, Guess
Page Count
422 pages
Physical Format
Hardcover
Identifiers
- ISBN-103319308157
- ISBN-139783319308159
- AmazonB01DBFFETW
- Better World Books9783319308159
- Open LibraryOL26214303M
Classifications
- LCCQ342
Description
This book introduces a novel approach for intelligent visualizations that adapts the different visual variables and data processing to human’s behavior and given tasks. Thereby a number of new algorithms and methods are introduced to satisfy the human need of information and knowledge and enable a usable and attractive way of information acquisition. Each method and algorithm is illustrated in a replicable way to enable the reproduction of the entire “SemaVis” system or parts of it. The introduced evaluation is scientifically well-designed and performed with more than enough participants to validate the benefits of the methods. Beside the introduced new approaches and algorithms, readers may find a sophisticated literature review in Information Visualization and Visual Analytics, Semantics and information extraction, and intelligent and adaptive systems. This book is based on an awarded and distinguished doctoral thesis in computer science.
Subjects
Topics
Other Editions
- Adaptive Semantics Visualization
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