Qiu, Ling, Ong, Kok-Leong, and Lui, Carrie (2006) Safely delegating data mining tasks. In: Proceedings of the 5th Australasian Data Mining Conference (61) pp. 1-7. From: Fifth Australasian Data Mining Conference (AusDM2006), 29-30 November 2006, Sydney, NSW, Australia.

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Abstract

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.

Item ID:	4274
Item Type:	Conference Item (Research - E1)
ISBN:	978-1-920682-42-2
ISSN:	1445-1336
Keywords:	delegating; data mining; privacy preserving; Bloom filter;
Related URLs:	Publisher
Date Deposited:	01 Dec 2009 01:55
FoR Codes:	08 INFORMATION AND COMPUTING SCIENCES > 0899 Other Information and Computing Sciences > 089999 Information and Computing Sciences not elsewhere classified @ 100%
SEO Codes:	89 INFORMATION AND COMMUNICATION SERVICES > 8999 Other Information and Communication Services > 899999 Information and Communication Services not elsewhere classified @ 100%
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