Privacy preserving association rule mining in vertically portioned data paper explains about providing solution for data mining problems that occur when transactions are done across distributed sources.

For every transaction from any site it holds attributes of that transaction, and that site will be using that information for collaborating globally for validating those rules.

At the same time site should look after providing security of transaction data of every individual.

In this paper, we propose two party algorithm for improving the efficiency with minimum support methods, where the main criteria are to provide security of individual transaction data.

download Privacy preserving association rule mining in vertically portioned data project reference documents.