Towards association rule hiding heuristics vs border-based approaches

Association rule hiding has been playing a very important rule in Privacy Preserving Data Mining and has been gaining the attention of many researchers. Many algorithms are developed with authors claiming the superiority of their algorithms. In this respect, we selectively choose some state of the art approaches in the context of association rule hiding heuristics and border-based approaches and examine their results on Mushroom and Retail datasets.