Data/hora: 13/06/2024 17:09:06

Biblioteca(s): 	Embrapa Agricultura Digital.	
Data corrente: 	06/11/2003	
Data da última atualização: 	17/01/2020	
Autoria: 	OLIVEIRA, S. R. de M.; ZAÏANE, O. R.	
Afiliação: 	STANLEY ROBSON DE MEDEIROS OLIVEIRA, CNPTIA; OSMAR R. ZAÏANE, University of Alberta.	
Título: 	Privacy preserving frequent itemset mining.	
Ano de publicação: 	2002	
Fonte/Imprenta: 	In: IEEE ICDM WORKSHOP ON PRIVACY, SECURITY AND DATA MINING, 2002, Maebashi. Proceedings... Sydney: Australian Computer Society, 2002. p. 43-54.	
Idioma: 	Inglês	
Notas: 	Editors: Chris Clifton, Vladimir Estivill-Castro. Na publicação: Stanley R. M. Oliveira.	
Conteúdo: 	One crucial aspect of privacy preserving frequent itemset mining is the fact that the mining process deals with a trade-off: privacy and accuracy, which are typically contradictory, and improving one usually incurs a cost in the other. One alternative to address this particular problem is to look for a balance between hiding restrictive patterns and disclosing non-restrictive ones. In this paper, we propose a new framework for enforcing privacy in mining frequent itemsets. We combine, in a single framework, techniques for efficiently hiding restrictive patterns: a transaction retrieval engine relying on an inverted file and Boolean queries; and a set of algorithms to "sanitize" a database. In addition, we introduce performance measures for mining frequent itemsets that quantify the fraction of mining patterns which are preserved after sanitizing a database. We also report the results of a performance evaluation of our research prototype and an analysis of the results.	
Palavras-Chave: 	Assosiation rule mining; Data mining; Frequent itemset mining; Mineração de dados; Preservação de privacidade; Privacy preservation in association rule mining; Privacy preserving data mining; Regras de associação; Security; Segurança.	
Categoria do assunto: 	X Pesquisa, Tecnologia e Engenharia	
Registro original: 	Embrapa Agricultura Digital (CNPTIA)	
Exemplares: 	CNPTIA - (9786-1) - UPC - AA - -- -  -  - 2003.00047 - DES
CNPTIA - (9786-2) - UPC - AA - DD -  -  -  - DIS