Mining Frequent Itemsets in Distorted Databases with Granular Computing

Jinlong Wang, Congfu Xu, Gang Li

Abstract: Data perturbation is a popular method to achieve privacy-preserving data mining. However, distorted databases bring enormous overheads to mining algorithms as compared to original databases. In thi...