By Kawa Nazemi
This ebook introduces a singular strategy for clever visualizations that adapts the several visible variables and information processing to human’s habit and given projects. Thereby a couple of new algorithms and strategies are brought to fulfill the human desire of data and data and allow a usable and engaging means of knowledge acquisition. each one process and set of rules is illustrated in a replicable solution to let the copy of the whole “SemaVis” procedure or components of it. The brought assessment is scientifically well-designed and played with good enough individuals to validate some great benefits of the tools. Beside the brought new techniques and algorithms, readers could discover a subtle literature assessment in details Visualization and visible Analytics, Semantics and data extraction, and clever and adaptive structures. This booklet is predicated on an offered and exclusive doctoral thesis in machine science.
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Additional info for Adaptive Semantics Visualization
G. by data transformations, visual mappings, and view transformations. In these types of interactions users acts directly with visualizations and change the view. In contrast to the manipulating interaction techniques, animation does not provide the user with manipulation functionalities. The animation is more an implication of the users’ interaction . The literature in visual perception suggests the use of animation for the improvement of interaction and understanding [50, 51]. Attracting attention, perceiving in peripheral vision and comprehending the visual changes are the most argued reasons for the implementation of animation as consequences of interactions [50–52].
With this tasks and manipulation views they further propose a set of low-level interaction techniques that are related to each high level task. 2 provides an overview of the proposed task, manipulation views and interactions that are related to each other. Another approach, which correlates low-level interactions with visualization tasks, was proposed by Chuah and Roth . They summarized their “basic visualization interactions” as a set of low-level-interactions with the attributes input, output, and operation and abstracted them to three basic visualization tasks [60, p.
Sucar, in ENC’05: Proceedings of the Sixth Mexican International Conference on Computer Science (IEEE Computer Society, Washington, DC, USA, 2005), pp. 2–9. doi:10. 7 40. W. Ahn, P. Brusilovsky, Inf. Vis. 8(3), 180 (2009). com/cgi/content/short/ 8/3/167 14 1 Introduction 41. D. Toker, C. Conati, G. Carenini, M. Haraty, in User Modeling, Adaptation, and Personalization. Lecture Notes in Computer Science, vol. 7379, ed. by J. Masthoff, B. Mobasher, M. Desmarais, R. Nkambou (Springer, Berlin, Heidelberg, 2012), pp.
Adaptive Semantics Visualization by Kawa Nazemi