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Adaptive Semantics Visualization: Studies in Computational Intelligence, cartea 646

Autor Kawa Nazemi
en Limba Engleză Hardback – apr 2016
This bookintroduces a novel approach for intelligent visualizations that adapts thedifferent visual variables and data processing to human’s behavior and giventasks. Thereby a number of new algorithms and methods are introduced to satisfythe human need of information and knowledge and enable a usable and attractiveway of information acquisition. Each method and algorithm is illustrated in areplicable way to enable the reproduction of the entire “SemaVis” system orparts of it. The introduced evaluation is scientifically well-designed andperformed with more than enough participants to validate the benefits of themethods. Beside the introduced new approaches and algorithms, readers may finda sophisticated literature review in Information Visualization and VisualAnalytics, Semantics and information extraction, and intelligent and adaptivesystems. This book is based on an awarded and distinguished doctoral thesis incomputer science.
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Specificații

ISBN-13: 9783319308159
ISBN-10: 3319308157
Pagini: 422
Ilustrații: XVIII, 422 p. 139 illus., 123 illus. in color.
Dimensiuni: 155 x 235 x 25 mm
Greutate: 0.79 kg
Ediția:1st ed. 2016
Editura: Springer International Publishing
Colecția Springer
Seria Studies in Computational Intelligence

Locul publicării:Cham, Switzerland

Cuprins

Part I Literature Review and State of the Art.- Part II Model for Adaptive Semantics Visualization.- Part III Proof of the Conceptual Model.

Textul de pe ultima copertă

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.


Caracteristici

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 Includes supplementary material: sn.pub/extras