Abstract
Owing to the volume of data generated in recent computations and experiments, it is quite difficult to extract useful information from these data even if using scientific/information visualization techniques. Method or methodology to extract useful information from such data should be considered. In this paper, a strategic visualization methodology using some data mining techniques, which includes a human recognition process and quantitative evaluations of the visualized results is introduced.
