Applications of Assoiation Rules Hiding Heuristic Approaches
Küçük Resim Yok
Tarih
2015
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Ieee
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
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.
Açıklama
23nd Signal Processing and Communications Applications Conference (SIU) -- MAY 16-19, 2015 -- Inonu Univ, Malatya, TURKEY
Anahtar Kelimeler
transaction, support, confidence, sanitization, itemset, frequent pattern, association rule, Data Mining
Kaynak
2015 23rd Signal Processing and Communications Applications Conference (Siu)
WoS Q Değeri
N/A
Scopus Q Değeri
N/A
