DSpace Arşivi :: by Yazar "Farea, Afrah" değerine göre listeleniyor

Listeleniyor 1 - 2 / 2

Applications of Assoiation Rules Hiding Heuristic Approaches
(Ieee, 2015) Farea, Afrah; Karci, Ali
Data Mining allows large database owners to extract useful knowledge that could not be deduced with traditional approaches like statistics. However, these sometimes reveal sensitive knowledge or preach individual privacies. The term sanitization is given to the process of changing original database into another one from which we can mine without exposing sensitive knowledge. In this paper, we give a detailed explanation of some heuristic approaches for this purpose. We applied them on a number of publically available datasets and examine the results.
Towards Association Rule Hiding Heuristics vs Border-based Approaches
(Ieee, 2015) Farea, Afrah; Karci, Ali
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.