Multiparty Privacy Preserving Data Mining Project with Source Code and Document

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The aim of this model was to explore the area of privacy of the data owner with distributed storage. Beginning with the technologies and issues related with Distribute privacy preserving data mining. A wide variety of privacy preserving data mining using association rule techniques is developed. However there are still many challenges and problems to solve in such systems, especially in the area of their performance and applicability improvement.

Conclusion As scientists are chipping away at various field out of which finding a powerful vertical examples is measure issue with this becoming advanced world. has proposed an secured information distribution algorithm. By the utilization of Paillers encryption calculation security of the information at server side get increases. Results demonstrates that proposed work execution time get decrease. While batch passed time get decrease. By the utilization of programmed vertical example space cost is additionally diminish.

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