Deakin University
Browse

Safely delegating data mining tasks

conference contribution
posted on 2006-01-01, 00:00 authored by L 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

Usage metrics

    Research Publications

    Categories

    No categories selected

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC