Esquema de Visualización para Modelos de Clústeres en Minería de Datos

The article proposes the design and implementation of a visualization scheme for cluster models, in the context of a data-mining process. The visual schema proposed in this work is called VIMC, and is based on four characteristics: interactive visualization, data-mining techniques combination, ad-ho...

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Bibliographic Details
Published in:RISTI : Revista Ibérica de Sistemas e Tecnologias de Informação 2017-05 (21), p.67-84
Main Authors: Castillo-Rojas, Wilson, Medina-Quispe, Fernando, Vega-Damke, Juan
Format: Article
Language:eng ; por
Subjects:
Clustering
Data analysis
Data mining
Knowledge discovery
Visualization
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Summary:The article proposes the design and implementation of a visualization scheme for cluster models, in the context of a data-mining process. The visual schema proposed in this work is called VIMC, and is based on four characteristics: interactive visualization, data-mining techniques combination, ad-hoc graphic artifacts, and use of metrics. Through the implementation of a visual web environment, and an evaluation of 23 users, positive results are achieved on the utility of this visualization scheme. Keywords: Cluster Visualization, model visualization for data mining, data mining visualization, interactive visualization of models, data visualization schemes. 1.Introducción La comprensión e interpretación apropiada de los resultados de un modelo es el mayor problema o desafío en un proceso de Minería de Datos (MD). A Comparative Review of Schemes of Multidimensional Visualization for Data Mining Techniques. Visualization for Enhancing the Data Mining Process. A Clustering Method for High-dimensional Data Analysis in Stock Market.
ISSN:1646-9895
1646-9895
DOI:10.17013/risti.21.67-84