Please use this identifier to cite or link to this item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/8874
Title: Privacy preserving clustering by data transformation.
Authors: OLIVEIRA, S. R. de M.
ZAÏANE, O. R.
Affiliation: STANLEY ROBSON DE MEDEIROS OLIVEIRA, CNPTIA; OSMAR R. ZAÏANE, University of Alberta.
Date Issued: 2003
Citation: In: SIMPÓSIO BRASILEIRO DE BANCO DE DADOS, 18., 2003, Manaus. Anais... Manaus: Universidade Federal do Amazonas, 2003.
Pages: p. 304-318.
Description: Related work. Basic concepts. The basics of data perturbation. The basics of imaging geometry. The family of geometric data transformation methods. Basic definitions. The translation data perturbation method. The scaling data perturbation method. The rotation data perturbation method. The hybrid data perturbation method. Experimental results. Methodology. Measuring effectiveness. Quantifying privacy. Improving privacy. Conclusions.
NAL Thesaurus: Cluster analysis
Keywords: Preservação de privacidade
Clusterização
Mineração de dados
Data Perturbation Method
Data mining
Notes: SBBD 2003. Na publicação: Stanley R. M. Oliveira.
Type of Material: Artigo em anais e proceedings
Access: openAccess
Appears in Collections:Artigo em anais de congresso (CNPTIA)

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