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Revisiting "privacy preserving clustering by data transformation". Author(s): OLIVEIRA, S. R. de M.; ZAÏANE, O. Preserving the privacy of individuals when data are shared for clustering is a complex problem. The challenge is how to protect the underlying data values subjected to clustering without jeopardizing... ... Repository: BDPA Publication year: 2010
Toward standardization in privacy-preserving data mining. Author(s): OLIVEIRA, S. R. de M.; ZAÏANE, O. R. Introduction. Problems in defining privacy. Privacy-preserving data mining. Privacy violation in data mining. Defining privacy preservation in data mining. Characterizing scenarios in PPDM. Principles... ... Repository: BDPA Publication year: 2004
A privacy preservation masking method to support business collaboration. Author(s): OLIVEIRA, S. R. de M. This paper introduces a privacy preservation masking method to support business collaboration, called Dimensionality Reduction-Based Transformation (DRBT). This method relies on the intuition behind r... ... Repository: BDPA Publication year: 2005
Programa de governança em privacidade e proteção de dados pessoais na Administração Pública Federal. Author(s): MENDES, C. I. C.; BERTIN, P. R. B.; COSTA, M. M. RESUMO: A economia digital é caracterizada pelo uso intensivo de dados pessoais. Países têm aprovado leis para regulamentar o tratamento de dados pessoais, tais como o Regulamento Geral de Proteção de... ... Repository: BDPA Publication year: 2023
Heuristics for protecting competitive knowledge in association rule mining. Author(s): OLIVEIRA, S. R. de M. The sharing of data for mining has been proven beneficial in industry, but requires privacy safeguards. Some companies prefer to share their data for collaboration, while others decide to share only t... ... Repository: BDPA Publication year: 2006

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