TY - JOUR
T1 - Experimental platform for intelligent computing (EPIC)
AU - Hernández-Castaño, Javier A.
AU - Villuendas-Rey, Yenny
AU - Camacho-Nieto, Oscar
AU - Yáñez-Márquez, Cornelio
N1 - Publisher Copyright:
© 2018 Instituto Politecnico Nacional. All rights reserved.
PY - 2018
Y1 - 2018
N2 - 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.
AB - 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.
KW - EPIC
KW - Experimental tools
KW - Intelligent computing
KW - KEEL
KW - Supervised classification
KW - WEKA
UR - http://www.scopus.com/inward/record.url?scp=85045931401&partnerID=8YFLogxK
U2 - 10.13053/CyS-22-1-2907
DO - 10.13053/CyS-22-1-2907
M3 - Artículo
SN - 1405-5546
VL - 22
SP - 245
EP - 253
JO - Computacion y Sistemas
JF - Computacion y Sistemas
IS - 1
ER -