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  4. Adaptive semantics visualization
 
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2016
Doctoral Thesis
Title

Adaptive semantics visualization

Abstract
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.
Thesis Note
Zugl.: Darmstadt, TU, Diss., 2014
Author(s)
Nazemi, Kawa
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Publisher
Springer International Publishing  
Publishing Place
Cham
Open Access
DOI
10.1007/978-3-319-30816-6
Additional link
Full text
Language
English
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Keyword(s)
  • Adaptive visualization

  • information visualization

  • Visual analytics

  • user-centered design

  • Human-computer interaction (HCI)

  • machine learning

  • artificial intelligence (AI)

  • visual design

  • Research Line: Human computer interaction (HCI)

  • Research Line: Computer graphics (CG)

  • Research Line: Modeling (MOD)

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