Title

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

Research Areas

Information Security and Trust; Data Management and Analytics

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

Additional URL

http://dx.doi.org/10.1109/ICDMW.2006.26