Visualization in a Data Mining Environment from a Human Computer Interaction Perspective

Raúl Oscar Klenzi, María Alejandra Malberti, Graciela Elida Beguerí


With the aim of providing support to the design, analysis and evaluation of result visualization mechanisms used to supply information in Data Mining Environments, this work analyzes the visualization issue from a Human Computer Interaction setting. Important considerations arisen from the study of human perception are considered. Three practical examples based on numerical, textual and georeferenced data are described by means of the KNIME Analytics tool. In addition, the use and importance of graphs are emphasized for a correct information interpretation.


KNIME, visualization, data mining, human computer interaction

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