Title :
A Study of cAnt-Miner2 Parameters Using Medical Data Sets
Author :
Michelakos, Ioannis ; Papageorgiou, Elpiniki I. ; Vasilakopoulos, Michael
Author_Institution :
Dept. of Comput. Sci. & Biomed. Inf., Univ. of Central Greece, Lamia, Greece
Abstract :
This paper presents a study of the user-defined parameters of the cAnt-Miner2 algorithm which extended the approach of coping with continuous attributes that was introduced by the cAnt-Miner algorithm. Experiments on two public medical data sets were carried out, in order to find appropriate parameter combinations for different classification problems. The experiments highlight the influence of each parameter and their combinations on the cAnt-Miner2 algorithm, in terms of accuracy, simplicity and computational cost.
Keywords :
data mining; medical information systems; optimisation; pattern classification; ant colony optimization; cAnt-Miner2 parameter; classification problem; medical data set; user defined parameter; Ant colony optimization; Biomedical computing; Biomedical informatics; Cardiac disease; Collaborative work; Computational efficiency; Computer science; Educational technology; Liver diseases; Testing; Ant Colony Optimization (ACO); classification; data mining; experimentation; medical data; parameters;
Conference_Titel :
Enabling Technologies: Infrastructures for Collaborative Enterprises (WETICE), 2010 19th IEEE International Workshop on
Conference_Location :
Larissa
Print_ISBN :
978-1-4244-7216-1
DOI :
10.1109/WETICE.2010.52
