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| Paper: |
Cognitive Imaging in Visual Data-Driven Decision-Support Systems |
| Volume: |
434, Astronomical Data Analysis Software and Systems XIX |
| Page: |
171 |
| Authors: |
Gorohov, V.; Vitkovskiy, V. |
| Abstract: |
Within data-driven types of decision-support systems (DDDSS, DSS), visual decision-support systems are those that try to inspire operator to find solution (decision) by producing visual representation of the data. Traditional approaches, that utilize traditional scientific visualization techniques such as 2D and 3D plots, vector fields, surface maps etc, works well when subject to represent is relatively simply structured data, low-dimensioned and weak interconnected. However, modern scientific experiments, as those in astrophysics observations, generate huge volumes of multidimensional complicated data. More sophisticated approach for visualizing of big volumes of multidimensional data is that based on the cognitive machine graphics techniques, which, for example, are used in visualization system Space Walker (SW). In contrast to illustrative ones, the cognitive images are aimed to make clear and evident some difficult scientific concepts and promote us with a new knowledge. |
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