Towards Association Rule Hiding Heuristics vs Border-based Approaches
Küçük Resim Yok
Tarih
2015
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Ieee
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
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.
Açıklama
9th International Conference on Electrical and Electronics Engineering (ELECO) -- NOV 26-28, 2015 -- Bursa, TURKEY
Anahtar Kelimeler
[No Keywords]
Kaynak
2015 9th International Conference on Electrical and Electronics Engineering (Eleco)
WoS Q Değeri
N/A
Scopus Q Değeri
N/A
