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Hiding sensitive patterns in association rules mining | IEEE Conference Publication | IEEE Xplore
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Hiding sensitive patterns in association rules mining


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 More

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.
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
Conference Location: Hong Kong, China

References

References is not available for this document.