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The original motivation of formal concept analysis was the search for real-world meaning of mathematical order theory.One such possibility of very general nature is that data tables can be transformed into algebraic structures called complete lattices, and that these can be utilized for data visualization and interpretation.
Techniques that can extract content information from images are called image analysis techniques. Computer vision is the ability of computers (or of robots) to recognize their environment and to interpret it correctly. Visualization and visual analytics; Visualization is used to produce images that shall communicate messages. Data may be ...
Movement pattern analysis (MPA) is a system used for assessing an individual's motivations in decision-making processes, based on the analysis of nonverbal behaviour. MPA applications include management consulting and career guidance, and proponents estimate that over 30,000 individuals – primarily those involved in senior management – have made use of MPA profiles over the last 50 years.
Visual analytics integrates new computational and theory-based tools with innovative interactive techniques and visual representations to enable human-information discourse. The design of the tools and techniques is based on cognitive, design, and perceptual principles. This science of analytical reasoning provides the reasoning framework upon ...
Scientific visualization focuses and emphasizes the representation of higher order data using primarily graphics and animation techniques. [5] [6] It is a very important part of visualization and maybe the first one, as the visualization of experiments and phenomena is as old as science itself.
Monroe's motivated sequence is a technique for organizing persuasion that inspires people to take action. Alan H. Monroe developed this sequence in the mid-1930s. [1] This sequence is unique because it strategically places these strategies to arouse the audience's attention and motivate them toward a specific goal or action.
The techniques rely heavily on user interaction and the human visual system, and exist in the intersection between visual analytics and big data. It is a branch of data visualization. IVA is a suitable technique for analyzing high-dimensional data that has a large number of data points, where simple graphing and non-interactive techniques give ...
In "Visualization Analysis and Design" Tamara Munzner writes "Computer-based visualization systems provide visual representations of datasets designed to help people carry out tasks more effectively." Munzner argues that visualization "is suitable when there is a need to augment human capabilities rather than replace people with computational ...