Nazemi, Kawa.
Adaptive Semantics Visualization [electronic resource] / by Kawa Nazemi. - 1st ed. 2016. - XVIII, 422 p. 139 illus., 123 illus. in color. online resource. - Studies in Computational Intelligence, 646 1860-9503 ; . - Studies in Computational Intelligence, 646 .
Part I Literature Review and State of the Art -- Part II Model for Adaptive Semantics Visualization -- Part III Proof of the Conceptual Model.
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.
9783319308166
10.1007/978-3-319-30816-6 doi
Computational intelligence.
Computational Intelligence.
Q342
006.3
Adaptive Semantics Visualization [electronic resource] / by Kawa Nazemi. - 1st ed. 2016. - XVIII, 422 p. 139 illus., 123 illus. in color. online resource. - Studies in Computational Intelligence, 646 1860-9503 ; . - Studies in Computational Intelligence, 646 .
Part I Literature Review and State of the Art -- Part II Model for Adaptive Semantics Visualization -- Part III Proof of the Conceptual Model.
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.
9783319308166
10.1007/978-3-319-30816-6 doi
Computational intelligence.
Computational Intelligence.
Q342
006.3