By Kawa Nazemi
This ebook introduces a singular method for clever visualizations that adapts the several visible variables and information processing to human’s habit and given projects. Thereby a few new algorithms and strategies are brought to meet the human desire of data and data and let a usable and tasty means of data acquisition. every one strategy and set of rules is illustrated in a replicable technique to let the copy of the whole “SemaVis” procedure or elements of it. The brought review is scientifically well-designed and played with good enough contributors to validate the advantages of the tools. Beside the brought new methods and algorithms, readers may well discover a subtle literature overview in details Visualization and visible Analytics, Semantics and data extraction, and clever and adaptive platforms. This ebook is predicated on an offered and individual doctoral thesis in desktop science.
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Extra info for Adaptive Semantics Visualization
The provided interaction method is one of the key-features of the visualization system and the issue of interacting with visualization was already investigated by various researchers. Several classifications, concepts and techniques were introduced to affirm the importance of interaction in visualizations. This section gives an overview about some of the classifications interactive visualizations. The section does not claim to be complete and aims to give an overview of the idea of interaction in information visualization systems.
And if the amount of the distractors plays no role for the measured time and accuracy, the visual task was processed in parallel, according to that preattentively . In a further test (accuracy model) a screen with a target or a group of targets was shown to the subjects just for 200 to 250 msec. In this time frame the subjects had no time to focus attentively to a certain object. So if they give the accurate answer to the presence or absence of the visual targets, the task was solved preattentively.
The subjects had to communicate as fast as possible, if the target is absent or present, while the amount of distractors was increased. Treisman and other researchers tested the accuracy and the time of the responses. They assumed, if the visual information would be processed serially, the subjects would need more time, when the amount of the distractors increases. And if the amount of the distractors plays no role for the measured time and accuracy, the visual task was processed in parallel, according to that preattentively .