An Approach to Outsourcing Data Mining Tasks While Protecting Business Intelligence and Customer Privacy
Conference Proceeding Article
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.
Information Security and Trust; Data Management and Analytics
6th International Conference on Data Mining, ICDM 2006, 18-22 December, Hong Kong: Proceedings
City or Country
QU, Ling; LI, Yingjiu; and Wu, Xintao.
An Approach to Outsourcing Data Mining Tasks While Protecting Business Intelligence and Customer Privacy. (2006). 6th International Conference on Data Mining, ICDM 2006, 18-22 December, Hong Kong: Proceedings. 551-558. Research Collection School Of Information Systems.
Available at: http://ink.library.smu.edu.sg/sis_research/610