Toward standardization in privacy-preserving data mining.

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 and policies for PPDM. The OECD privacy guidelines. The implications of the OECD privacy guidelines in PPDM. Adopting PPDM policies from the OECD privacy guidelines. Requirements for PPDM. Requirements for the development of technical solutions. Requirements to guide the deployment of technical solutions. Related work. Conclusions.

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Bibliographic Details
Main Authors: OLIVEIRA, S. R. de M., ZAÏANE, O. R.
Other Authors: STANLEY ROBSON DE MEDEIROS OLIVEIRA, CNPTIA; OSMAR R. ZAÏANE, University of Alberta.
Format: Anais e Proceedings de eventos biblioteca
Language:English
eng
Published: 2005-04-18
Subjects:Mineração de dados, Preservação de privacidade, Data mining, Privacy,
Online Access:http://www.alice.cnptia.embrapa.br/alice/handle/doc/9023
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