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47. Using Data Mining for Virtual Enterprise Management

L. LossContact Information, R. J. RabeloContact Information, D. LuzContact Information, A. Pereira-KlenContact Information and E. R. KlenContact Information

(2)  Federal University of Santa Catarina — Florianópolis (SC), Brazil
Abstract
This paper presents exploratory results on how a data-mining-based tool can be used to enhance the quality of decision-making in a Virtual Enterprise environment. The developed tool is based on the Clustering mining method and implements the K-Means algorithm. The algorithm is explained, its utilization in the proposed model is introduced and the implementation results are presented and stressed in the end of the paper.

Contact Information L. Loss
Email: loss@gsigma.ufsc.br

Contact Information R. J. Rabelo
Email: rabelo@das.ufsc.br

Contact Information D. Luz
Email: luz@gsigma.ufsc.br

Contact Information A. Pereira-Klen
Email: klen@gsigma.ufsc.br

Contact Information E. R. Klen
Email: erklen@gsigma.ufsc.br
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