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Adaptive semantics visualization

 
: Nazemi, Kawa

:

Cham: Springer International Publishing, 2016, XVIII, 422 S.
Zugl.: Darmstadt, TU, Diss., 2014
Studies in computational intelligence, 646
ISBN: 978-3-319-30815-9 (Print)
ISBN: 978-3-319-30816-6 (Online)
Englisch
Dissertation
Fraunhofer IGD ()
Adaptive visualization; information visualization; Visual analytics; user-centered design; Human-computer interaction (HCI); machine learning; artificial intelligence (AI); visual design; Research Area: Human computer interaction (HCI); Research Area: Computer graphics (CG); Research Area: Modeling (MOD)

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.

: http://publica.fraunhofer.de/dokumente/N-393628.html