Safely delegating data mining tasks

Qui, Ling, Ong, Kok-Leong and Lui, Sui Man 2006, Safely delegating data mining tasks, in Data mining and analytics 2006 : proceedings of the fifth Australasian Data Mining Conference (AusDM2006), Sydney, Australia, 29-30 November, 2006, Australian Computer Society, Sydney, N.S.W., pp. 1-7.

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Title Safely delegating data mining tasks
Author(s) Qui, Ling
Ong, Kok-Leong
Lui, Sui Man
Conference name Australasian Data Mining Conference (5th : 2006 : Sydney, Australia)
Conference location Sydney, Australia.
Conference dates 29-30 November 2006
Title of proceedings Data mining and analytics 2006 : proceedings of the fifth Australasian Data Mining Conference (AusDM2006), Sydney, Australia, 29-30 November, 2006
Editor(s) Christen, Peter
Kennedy, Paul J.
Li, Jiuyong
Simoff, Simeon J.
Williams, Graham J.
Publication date 2006
Conference series Australasian Data Mining Conference
Start page 1
End page 7
Publisher Australian Computer Society
Place of publication Sydney, N.S.W.
Keyword(s) delegating
privacy preserving
Bloom filter
data mining
Summary 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.
ISBN 1920682414
ISSN 1445-1336
Language eng
Field of Research 080499 Data Format not elsewhere classified
HERDC Research category E1 Full written paper - refereed
Copyright notice ©2006
Persistent URL http://hdl.handle.net/10536/DRO/DU:30009760

Document type: Conference Paper
Collection: School of Information Technology
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