Protecting business intelligence and customer privacy while outsourcing data mining tasks

Publication Type

Journal Article

Publication Date

2008

Abstract

Nowadays data mining plays an important role in decision making. Since many organizations do not possess the in-house expertise of data mining, it is beneficial to outsource data mining tasks to external service providers. However, most organizations hesitate to do so due to the concern of loss of business intelligence and customer privacy. In this paper, we present a Bloom filter based solution to enable organizations to outsource their tasks of mining association rules, at the same time, protect their business intelligence and customer privacy. Our approach can achieve high precision in data mining by trading-off the storage requirement.

Discipline

Information Security

Research Areas

Information Security and Trust

Publication

Knowledge and Information Systems

Volume

17

Issue

1

First Page

99

Last Page

120

ISSN

0219-1377

Identifier

10.1007/s10115-007-0113-3

Publisher

Springer Verlag

Additional URL

http://dx.doi.org/10.1007/s10115-007-0113-3

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