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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

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

Author(s): GONCALVES, N. B.; MELO, R. A. de C. e; MADEIRA, N. R.; FONSECA, M. J. de O.

Repository: BDPA     Publication year: 2016

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

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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