Services on Demand
Journal
Article
Indicators
- Cited by SciELO
- Access statistics
Related links
- Similars in SciELO
Share
Computación y Sistemas
On-line version ISSN 2007-9737Print version ISSN 1405-5546
Abstract
HERNANDEZ-CASTANO, Javier A.; VILLUENDAS-REY, Yenny; CAMACHO-NIETO, Oscar and YANEZ-MARQUEZ, Cornelio. Experimental Platform for Intelligent Computing (EPIC). Comp. y Sist. [online]. 2018, vol.22, n.1, pp.245-253. ISSN 2007-9737. https://doi.org/10.13053/cys-22-1-2907.
This paper presents the architecture and user interface of a novel Experimental Platform for Intelligent Computing (EPIC). Unlike the two most popular platforms (WEKA and KEEL), the proposed EPIC tool has a very friendly user interface, and offers some advantages with respect to existing tools for Intelligent Computing experiments. In particular, EPIC handles mixed and incomplete data directly, without preprocessing, and its architecture supports multi-target supervised classification and regression. It also contains a module for two dimensional dataset visualization, which includes the visualization of the decision frontier for several supervised learning algorithms.
Keywords : Experimental tools; EPIC; WEKA; KEEL; intelligent computing; supervised classification.