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COMPSAC
2004
IEEE

Hiding Sensitive Patterns in Association Rules Mining

8 years 7 months ago
Hiding Sensitive Patterns in Association Rules Mining
Data mining techniques have been developed in many applications. However, it also causes a threat to privacy. We investigate to find an appropriate balance between a need for privacy and information discovery on association patterns. In this paper, we propose an innovative technique for hiding sensitive patterns. In our approach, a sanitization matrix is defined. By multiplying the original transaction database and the sanitization matrix, a new database, which is sanitized for privacy concern, is gotten. Moreover, a set of experiments is performed to show the effectiveness of our approach.
Guanling Lee, Chien-Yu Chang, Arbee L. P. Chen
Added 20 Aug 2010
Updated 20 Aug 2010
Type Conference
Year 2004
Where COMPSAC
Authors Guanling Lee, Chien-Yu Chang, Arbee L. P. Chen
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