Abstract
Visual mining refers to the cognitive process which integrates the human in analysis of information when using interactive visualization systems. This paper presents a classification scheme which provides user-centered representation of goals and actions that a user performs during the visual mining process. The classification scheme has been developed using content-analysis of published literature containing precise descriptions of different visual mining tasks in multiple fields of study. There were two stages in the development. First, we defined all the sub-processes of visual mining process. Then we used these sub-processes as a template to develop the initial coding scheme prior to utilizing specific data from each of the publications. As analysis proceeded, additional codes were developed and the initial coding scheme was refined. The results of the analysis were represented in the form of a classification scheme of the visual mining process. The naturalistic methods recommended by Lincoln and Guba have been applied to ensure that the content analysis is credible, transferable, dependable and confirmable.
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Mozaffari, E., Mudur, S. (2011). A Classification Scheme for Characterizing Visual Mining. In: Salvendy, G., Smith, M.J. (eds) Human Interface and the Management of Information. Interacting with Information. Human Interface 2011. Lecture Notes in Computer Science, vol 6772. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21669-5_6
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DOI: https://doi.org/10.1007/978-3-642-21669-5_6
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