Title :
A Hybrid Approach to Frequent Itemset Hiding
Author :
Gkoulalas-Divanis, A. ; Verykios, Vassilios S.
Author_Institution :
Univ. of Thessaly, Volos
Abstract :
In this paper, we propose a novel, exact border-based approach that provides an optimal solution for the hiding of sensitive frequent itemsets by (i) minimally extending the original database by a synthetically generated database part - the database extension, (ii) formulating the creation of the database extension as a constraint satisfaction problem that is solved by using binary integer programming, and (Hi) providing an approximate solution close to the optimal one when an ideal solution does not exist. Extending the original database for sensitive itemset hiding is proved to provide optimal solutions to an extended set of hiding problems compared to previous approaches and to provide solutions of higher quality.
Keywords :
data encapsulation; data mining; data privacy; database management systems; integer programming; binary integer programming; border-based approach; constraint satisfaction problem; data mining; database extension; frequent itemset hiding; Artificial intelligence; Data engineering; Data mining; Data privacy; Hybrid power systems; Itemsets; Linear programming; Production; Protection; Transaction databases;
Conference_Titel :
Tools with Artificial Intelligence, 2007. ICTAI 2007. 19th IEEE International Conference on
Conference_Location :
Patras
Print_ISBN :
978-0-7695-3015-4
DOI :
10.1109/ICTAI.2007.68