The growing needs of multiple parties interaction in corporate and financial sector emphasize the need of developing privacy preserving and efficient distributed data mining algorithms. Even though a lot of research w...
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ISBN:
(纸本)9781467320467
The growing needs of multiple parties interaction in corporate and financial sector emphasize the need of developing privacy preserving and efficient distributed data mining algorithms. Even though a lot of research work is progressing in this area to transform efficient centralized mining models to work on horizontal and vertical partitioneddatabases there is lack of associative classification model that can perform classification on verticallypartitioneddatabases. In order to overcome such needs this paper proposes an associative classification model on verticallypartitioneddatabases. By considering privacy requirements in case of data sharing among multiple parties a scalar product based third party privacy preserving model adopted for proposed model. The proposed model accuracy tested on VCI databases given encouraging results.
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