Adaptive Semantics Visualization
Adaptive Semantics Visualization
Springer | Engineering | March 23 2016 | ISBN-10: 3319308157 | 422 pages | pdf | 12.73 mb
Springer | Engineering | March 23 2016 | ISBN-10: 3319308157 | 422 pages | pdf | 12.73 mb
Authors: Nazemi, Kawa
Introduces a novel model for adaptive visualization
Investigates different approaches and models and their effects on system adaptation to gather implicit information about users and their behavior
Includes a comprehensive user study displaying the benefits of the presented 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.
Number of Illustrations and Tables
16 b/w illustrations, 123 illustrations in colour
Topics
Computational Intelligence
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