posted on 2006-01-01, 00:00authored byL Qui, Kok-Leong Ong, S Lui
Data mining is playing an important role in decision making for business activities and governmental administration. Since many organizations or their divisions do not possess the in-house expertise and infrastructure for data mining, it is beneficial to delegate data mining tasks to external service providers. However, the organizations or divisions may lose of private information during the delegating process. In this paper, we present a Bloom filter based solution to enable organizations or their divisions to delegate the tasks of mining association rules while protecting data privacy. Our approach can achieve high precision in data mining by only trading-off storage requirements, instead of by trading-off the level of privacy preserving.
History
Event
Australasian Data Mining Conference (5th : 2006 : Sydney, Australia)
Pagination
1 - 7
Publisher
Australian Computer Society
Location
Sydney, Australia.
Place of publication
Sydney, N.S.W.
Start date
2006-11-29
End date
2006-11-30
ISSN
1445-1336
ISBN-10
1920682414
Language
eng
Publication classification
E1 Full written paper - refereed
Copyright notice
2006
Editor/Contributor(s)
P Christen, P Kennedy, J Li, S Simoff, G Williams
Title of proceedings
Data mining and analytics 2006 : proceedings of the fifth Australasian Data Mining Conference (AusDM2006), Sydney, Australia, 29-30 November, 2006