An approach to outsourcing data mining tasks while protecting business intelligence and customer privacy

Qiu, Ling, Li, Yingjiu, and Wu, Xintao (2006) An approach to outsourcing data mining tasks while protecting business intelligence and customer privacy. In: Proceedings of Sixth IEEE International Conference on Data Mining - Workshops, pp. 551-558. From: ICDMW'06 Sixth IEEE International Conference on Data Mining - Workshops, 18-22 December 2006, Hong Kong.

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Abstract

Data mining is playing an important role in decision making. It is beneficial to outsource data mining tasks if an organization does not have required expertise in-house. However, the organization may lose business intelligence and customer privacy during this outsourcing process. In this paper, we present a Bloom filter based solution to enable organizations to outsource their tasks of mining association rules while protecting their business intelligence and customer privacy. Our approach can achieve high precision in data mining by trading-off storage requirements.

Item ID: 4315
Item Type: Conference Item (Refereed Research Paper - E1)
Keywords: outsourcing; privacy preserving; bloomfilter; association rule mining
ISBN: 0-7695-2702-7
Date Deposited: 26 Nov 2009 23:38
SEO Codes: 89 INFORMATION AND COMMUNICATION SERVICES > 8999 Other Information and Communication Services > 899999 Information and Communication Services not elsewhere classified @ 100%
Citation Count from Web of Science Web of Science 2
Downloads: Total: 23
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