Título:	Toward standardization in privacy-preserving data mining.
Autor:	OLIVEIRA, S. R. de M. ZAÏANE, O. R.
Afiliación:	STANLEY ROBSON DE MEDEIROS OLIVEIRA, CNPTIA; OSMAR R. ZAÏANE, University of Alberta.
Año:	2004
Referencia:	In: INTERNATIONAL WORKSHOP ON DATA MINING STANDARDS, SERVICES AND PLATFORMS, 2., 2004, Seattle. Proceedings... Illinois: University of Illinois, 2004.
Páginas:	p. 7-17.
Descripción:	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.
Palabras clave:	Mineração de dados Preservação de privacidade Data mining Privacy
Notas:	Na publicação: Stanley R. M. Oliveira.
Tipo de Material:	Artigo em anais e proceedings
Acceso:	openAccess
Aparece en las colecciones:	Artigo em anais de congresso (CNPTIA)