Heuristics for protecting competitive knowledge in association rule mining.

OLIVEIRA, S. R. de M.

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Campo DC	Valor	Lengua/Idioma
dc.contributor.author	OLIVEIRA, S. R. de M.	pt_BR
dc.date.accessioned	2011-04-09T17:32:48Z	-
dc.date.available	2011-04-09T17:32:48Z	-
dc.date.created	2006-11-07	pt_BR
dc.date.issued	2006	pt_BR
dc.identifier.citation	Campinas: Embrapa Informática Agropecuária, 2006.	pt_BR
dc.identifier.issn	1677-9266	eng
dc.identifier.uri	http://www.infoteca.cnptia.embrapa.br/infoteca/handle/doc/4885	pt_BR
dc.description	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 the patterns discovered from their data. The goal of these companies is to disclose only part of the knowledge and conceal a group of sensitive rules (competitive knowledge) that are paramount for strategic decisions. These rules must be protected before sharing and need to remain private. The challenge here is how to protect the sensitive rules without putting at risk the effectiveness of data mining per se. This work presents a framework for protecting sensitive knowledge in Association Rule Mining. The framework is composed of a set of heuristics and metrics to evaluate the effectiveness of these heuristics in terms of information loss and knowledge protection.	eng
dc.language.iso	eng	eng
dc.relation.ispartofseries	(Embrapa Informática Agropecuária. Boletim de pesquisa e desenvolvimento, 13).	pt_BR
dc.rights	openAccess	eng
dc.subject	Preservação de privacidade em mineração de dados	pt_BR
dc.subject	Proteção de conhecimento	pt_BR
dc.subject	Conhecimento competitivo	pt_BR
dc.subject	Regras sensíveis	pt_BR
dc.subject	Preservação de privacidade em mineração de regras de associação	pt_BR
dc.subject	Privacy-preserving association rule mining	eng
dc.subject	Heurística	eng
dc.subject	Privacy-preserving data mining	eng
dc.subject	Knowledge protection	eng
dc.subject	Competitive knowledge	eng
dc.subject	Sensitive knowledge	eng
dc.subject	Sensitive rules	eng
dc.title	Heuristics for protecting competitive knowledge in association rule mining.	pt_BR
dc.type	Folhetos	pt_BR
dc.date.updated	2011-04-10T11:11:11Z	pt_BR
dc.format.extent2	48 p.	pt_BR
riaa.ainfo.id	4885	pt_BR
riaa.ainfo.lastupdate	2008-05-28	pt_BR
dc.contributor.institution	STANLEY ROBSON DE MEDEIROS OLIVEIRA, CNPTIA.	pt_BR
Aparece en las colecciones:	Boletim de Pesquisa e Desenvolvimento (CNPTIA)

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