A data mining technique for data clustering based on genetic algorithm

Authors:
J. Aguilar
Affiliations:
CEMISID, Departamento de Computación, Facultad de Ingeniería, Universidad de los Andes, Mérida, Venezuela
Venue:
EC'05 Proceedings of the 6th WSEAS international conference on Evolutionary computing
Year:
2005

Citing 4
Cited 1

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TELE-INFO'06 Proceedings of the 5th WSEAS international conference on Telecommunications and informatics

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Abstract

Data mining is the process of deriving knowledge from data. The data clustering is a classical activity in data mining. In this paper we propose a method to carry out data clustering using genetic algorithms. We use evolutionary characteristics to define the data clustering procedure. In addition, we present an example of application of our approach, the definition of healthcare centers for a given venezuelan region.