By Kawa Nazemi
introduces a singular process for clever visualizations that adapts the
different visible variables and information processing to human’s habit and given
tasks. Thereby a couple of new algorithms and strategies are brought to satisfy
the human want of knowledge and information and permit a usable and attractive
way of knowledge acquisition. each one strategy and set of rules is illustrated in a
replicable strategy to allow the replica of the total “SemaVis” approach or
parts of it. The brought evaluate is scientifically well-designed and
performed with good enough contributors to validate the advantages of the
methods. Beside the brought new ways and algorithms, readers may perhaps find
a refined literature overview in info Visualization and Visual
Analytics, Semantics and knowledge extraction, and clever and adaptive
systems. This publication is predicated on an provided and exotic doctoral thesis in
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Adaptive Semantics Visualization (Studies in Computational Intelligence) by Kawa Nazemi