An Approach to Outsourcing Data Mining Tasks While Protecting Business Intelligence and Customer Privacy
Publication Type
Conference Proceeding Article
Publication Date
11-2006
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.
Discipline
Information Security
Publication
6th International Conference on Data Mining, ICDM 2006, 18-22 December, Hong Kong: Proceedings
First Page
551
Last Page
558
ISBN
9780769527024
Identifier
10.1109/ICDMW.2006.26
Publisher
IEEE
City or Country
Hong Kong
Citation
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.
Available at: https://ink.library.smu.edu.sg/sis_research/610
Additional URL
http://dx.doi.org/10.1109/ICDMW.2006.26