Title:	A STUDY ABOUT INFLUENCEABLE PARAMETERS IN THE CHOICE OF VISUALIZATION TECHNIQUES BASED ON GROUNDED THEORY
Author(s):	Juliana Keiko Yamaguchi, Maria Madalena Dias
ISBN:	978-972-8939-48-9
Editors:	Yingcai Xiao
Year:	2011
Edition:	Single
Keywords:	Data visualization; visualization techniques; knowledge discovery.
Type:	Full Paper
First Page:	177
Last Page:	184
Language:	English
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Paper Abstract:	When visualization techniques are used to analyze results from a knowledge extraction process, it is necessary to choose the techniques according to certain criteria to ensure that the display is able to represent data as best as possible, especially when they are applied directly on data as an inference tool to extract information or as a way of data mining to get knowledge. In this context, this paper describes the parameters to be considered in the choice of these techniques in order to assist the analyst in the task of data exploration. These parameters are: data type, task type, data volume, dimensionality (number of attributes) and positioning of the attributes in the graph. The method used to identify the parameters is based on the Grounded Theory methodology. Further, this paper presents an analysis about the relation between that parameters and the visualization techniques of the different categories.
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