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An Approach to Outsourcing Data Mining Tasks while Protecting Business Intelligence and Customer Privacy
Hong Kong, China December 18-December 22
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICDMW.2006.26Sixth IEEE International Conference o ...
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Ling QIU, James Cook University, Australia
Yingjiu LI, Singapore Management University
Xintao WU, University of North Carolina at Charlotte
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.
Citation:
Ling QIU, Yingjiu LI, Xintao WU, "An Approach to Outsourcing Data Mining Tasks while Protecting Business Intelligence and Customer Privacy," icdmw, pp.551-558, Sixth IEEE International Conference on Data Mining - Workshops (ICDMW'06), 2006
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