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

fYear

2010

fDate

28-30 June 2010

Firstpage

119

Lastpage

121

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Enabling Technologies: Infrastructures for Collaborative Enterprises (WETICE), 2010 19th IEEE International Workshop on

Conference_Location

Larissa

ISSN

1524-4547

Print_ISBN

978-1-4244-7216-1

Type

conf

DOI

10.1109/WETICE.2010.52

Filename

5541992