Download e-book for iPad: Adaptive Semantics Visualization by Kawa Nazemi

By Kawa Nazemi

ISBN-10: 3319308157

ISBN-13: 9783319308159

ISBN-10: 3319308165

ISBN-13: 9783319308166

This booklet introduces a singular strategy for clever visualizations that adapts the several visible variables and knowledge processing to human’s habit and given projects. Thereby a couple of new algorithms and techniques are brought to meet the human desire of data and data and permit a usable and tasty method of knowledge acquisition. every one procedure and set of rules is illustrated in a replicable option to let the replica of the complete “SemaVis” process or components of it. The brought evaluate 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 perhaps discover a refined literature evaluate in info Visualization and visible Analytics, Semantics and data extraction, and clever and adaptive structures. This publication is predicated on an offered and exclusive doctoral thesis in machine science.

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81] were categorized to distortion techniques and data visualization techniques. In this enhanced model distortion is categorized as an interaction technique. Further the standard interaction technique is introduced to conclude the whole spectrum of possible interaction techniques. Hearst lists the following main techniques for interacting and navigating with information visualization within abstract data space: brushing and linking, panning and zooming, focus-plus-context, magic lenses and animation to retain the context [40, p.

The reference model proposes that two main factors are important to provide an effective mapping to visual structures. The mapping should preserve the data with their type of variables and emphasize the important information to be perceived well by the human. The visualization should enable the human to interpret faster, distinct graphical entities, or make to fewer errors [3, p. 23]. In today’s evaluation methods the two main factors for measuring the efficiency of visualizations are task completion time (faster interpretation) and task completion correctness (fewer errors).

Com/science/article/pii/S0306457313000137 27. G. Carenini, C. Conati, E. Hoque, B. Steichen, D. Toker, J. Enns, in Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI’14 (ACM, New York, NY, USA, 2014), pp. 1835–1844. 2557141. 1145/2556288. 2557141 28. B. Steichen, O. Schmid, C. Conati, G. Carenini, in UMAP 2013 Extended Proceedings. First International Workshop on User-Adaptive Visualizations (WUAV 2013) (2013) 29. M. Hartmann, Context-aware intelligent user interfaces for supporting system use.

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