GUIDELINES FOR THE CHOICE OF VISUALIZATION TECHNIQUES APPLIED IN THE PROCESS OF KNOWLEDGE EXTRACTION
Visualization techniques are tools that can improve analysts insight into the results of knowledge discovery process or to directly explore and analyze data. They allows analysts to interact with the graphical representation to get new knowledge. The choice of visualization techniques must follow some criteria to guarantee a consistent data representation. This paper presents a study based on Grounded Theory that indicates parameters for select visualization techniques, which are: data type, task type, data volume, data dimension and position of the attributes in the display. These parameters are analyzed in the context of visualization technique categories: standard 1D - 3D graphics, iconographic techniques, geometric techniques, pixel-oriented techniques and graph-based or hierarchical techniques. The analysis over the association among these parameters and visualization techniques culminated in guidelines establishment to choose the most appropriate techniques according to the data characteristics and the objective of the knowledge discovery process.
Data visualization Visualization techniques Knowledge discovery Data visualization parameters
Juliana Keiko Yamaguchi Maria Madalena Dias Clélia Franco
Department of Informatic, State University of Maringá, Av. Colombo - 5.790, Maringá, Brazil
国际会议
13th International Conference on Enterprise Information System(第13届企业信息系统国际会议 ICEIS 2011)
北京
英文
2069-2075
2011-06-08（万方平台首次上网日期，不代表论文的发表时间）