Kawa Nazemi – författare

This book is devoted to the emerging field of integrated visual knowledge discovery that combines advances in artificial intelligence/machine learning and visualization/visual analytic. The sections of this book cover integrated systems, supervised learning, unsupervised learning, optimization, and evaluation of visualizations.

This book is devoted to the emerging field of integrated visual knowledge discovery that combines advances in artificial intelligence/machine learning and visualization/visual analytic. The sections of this book cover integrated systems, supervised learning, unsupervised learning, optimization, and evaluation of visualizations.

This book continues a series of Springer publications devoted to the emerging field of Integrated Artificial Intelligence and Machine Learning with Visual Knowledge Discovery and Visual Analytics that combine advances in both fields.

This book continues a series of Springer publications devoted to the emerging field of Integrated Artificial Intelligence and Machine Learning with Visual Knowledge Discovery and Visual Analytics that combine advances in both fields.

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.