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

Authors

  • Raúl Oscar Klenzi Universidad Nacional de San Juan, Departamento de Informática, Facultad de Ciencias Exactas Físicas y Naturales
  • María Alejandra Malberti Universidad Nacional de San Juan, Departamento de Informática, Facultad de Ciencias Exactas Físicas y Naturales
  • Graciela Elida Beguerí Universidad Nacional de San Juan, Departamento de Informática, Facultad de Ciencias Exactas Físicas y Naturales

DOI:

https://doi.org/10.13053/cys-22-1-2558

Keywords:

KNIME, visualization, data mining, human computer interaction

Abstract

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.

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Published

2018-03-30

Issue

Vol. 22 No. 1 (2018): Thematic Issue on Language & Knowledge Engineering (Guest Editors: D. Pinto, D. Vilariño, B. Beltrán)

Section

Articles of the Thematic Issue

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