Abstract:
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 ...Show MoreMetadata
Abstract:
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. 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 described. Moreover a set of experiments is performed to show the effectiveness of our approach.
Published in: Proceedings of the 28th Annual International Computer Software and Applications Conference, 2004. COMPSAC 2004.
Date of Conference: 28-30 September 2004
Date Added to IEEE Xplore: 18 October 2004
Print ISBN:0-7695-2209-2
Print ISSN: 0730-3157