Data/hora: 06/06/2024 12:16:42

Biblioteca(s): 	Embrapa Agricultura Digital.	
Data corrente: 	12/12/2007	
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: 	A privacy-preserving clustering approach toward secure and effective data analysis for business collaboration.	
Ano de publicação: 	2007	
Fonte/Imprenta: 	Computers & Security, v. 26, n. 1, p. 81-93, Feb. 2007.	
DOI: 	https://doi.org/10.1016/j.cose.2006.08.003	
Idioma: 	Inglês	
Notas: 	Na publicação: Stanley R. M. Oliveira.	
Conteúdo: 	The sharing of data has been proven beneficial in data mining applications. However, privacy regulations and other privacy concerns may prevent data owners from sharing information for data analysis. To resolve this challenging problem, data owners must design a solution that meets privacy requirements and guarantees valid data clustering results. To achieve this dual goal, we introduce a new method for privacy-preserving clustering called Dimensionality Reduction-Based Transformation (DRBT). This method relies on the intuition behind random projection to protect the underlying attribute values subjected to cluster analysis. The major features of this method are: (a) it is independent of distance-based clustering algorithms; (b) it has a sound mathematical foundation; and (c) it does not require CPU-intensive operations. We show analytically and empirically that transforming a data set using DRBT, a data owner can achieve privacy preservation and get accurate clustering with a little overhead of communication cost.	
Palavras-Chave: 	Clusterização; Data mining; Dimensionality reduction; Mineração de dados; Privacy-preserving clustering; Privacy-preserving data mining; Random projection; Segurança.	
Thesaurus Nal: 	Cluster analysis.	
Categoria do assunto: 	X Pesquisa, Tecnologia e Engenharia	
Registro original: 	Embrapa Agricultura Digital (CNPTIA)	
Exemplares: 	CNPTIA - (11671-1) - UPC - AP - -- -  -  - 2007.00054 - DES
CNPTIA - (11671-2) - UPC - AP - DD -  -  -  - DIS