Abstract
The ever larger interest of the companies in accompanying new processing technologies and storage of data, as well as using the information as a large patrimony, has motivated several researches for the study of the process of transformation of this data into knowledge, which provides an intelligent aid to decision-making. In this context, the process of Knowledge Discovery in Databases (KDD) arises as a technology which can help with the knowledge search in the data. This search can be accomplished with the aid of visualization techniques, which can facilitate the understanding, on the part of human Analysts, of the knowledge extracted from data. This can be accomplished by identifying structures, characteristics, tendencies, anomalies and relationships among the data. These techniques frequently offer mechanisms that facilitate the search of patterns/models from data bases.
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