Confidentiality Based Data Transfer Using Privacy Preserving Association Rule Mining

V. Neha, K. David Raju


Privacy Preserving Association Rule Mining (PPAM) becomes an important issue in recent years.Since data mining alone is not enough to share data between companies without privacy preserving. In this paper, a new technique has been proposed to maintain the confidentiality of the data by using Privacy without returning to mining sensitive data again. And also been achieved high speed and fewer memory requirements.

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