Cross multi-table frequent itemsets mining with privacy preserving
Xiaolu Li · Computer Engineering and Applications Journal · 2012
A technique is presented to extend the cross two-table frequent itemsets mining method to the cross three-table frequent itemsets mining. The common attributes count set for three-table frequent itemsets is treated as the parameter for secure three-party protocol, a cross three-table frequent itemsets mining algorithm with privacy preserving is proposed. This algorithm not only can mine the cross-three table frequent itemsets but also can preserve the private data. The analysis and experimental results show that the presented algorithm is secure, efficient and scalable.