DocumentCode :
2876785
Title :
Applications of assoiation rules hiding heuristic approaches
Author :
Farea, Afrah ; Karci, Ali
Author_Institution :
Comput. Eng. Dept., Inonu Univ., Malatya, Turkey
fYear :
2015
fDate :
16-19 May 2015
Firstpage :
2650
Lastpage :
2653
Abstract :
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.
Keywords :
data mining; data privacy; association rules hiding heuristic; data mining; database sanitization; Data mining; Itemsets; Data Mining; association rule; confidence; frequent pattern; itemset; sanitization; support; transaction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing and Communications Applications Conference (SIU), 2015 23th
Conference_Location :
Malatya
Type :
conf
DOI :
10.1109/SIU.2015.7130434
Filename :
7130434
Link To Document :
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