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19th IEEE International Conference on Tools with Artificial Intelligence - Vol.1 (ICTAI 2007)
A Hybrid Approach to Frequent Itemset Hiding
Paris, France
October 29-October 31
ISBN: 0-7695-3015-X
| ASCII Text | x | ||
| Aris Gkoulalas-Divanis, Vassilios S. Verykios, "A Hybrid Approach to Frequent Itemset Hiding," 2012 IEEE 24th International Conference on Tools with Artificial Intelligence, vol. 1, pp. 297-304, 19th IEEE International Conference on Tools with Artificial Intelligence - Vol.1 (ICTAI 2007), 2007. | |||
| BibTex | x | ||
| @article{ 10.1109/ICTAI.2007.68, author = {Aris Gkoulalas-Divanis and Vassilios S. Verykios}, title = {A Hybrid Approach to Frequent Itemset Hiding}, journal ={2012 IEEE 24th International Conference on Tools with Artificial Intelligence}, volume = {1}, year = {2007}, issn = {1082-3409}, pages = {297-304}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICTAI.2007.68}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - 2012 IEEE 24th International Conference on Tools with Artificial Intelligence TI - A Hybrid Approach to Frequent Itemset Hiding SN - 1082-3409 SP297 EP304 A1 - Aris Gkoulalas-Divanis, A1 - Vassilios S. Verykios, PY - 2007 VL - 1 JA - 2012 IEEE 24th International Conference on Tools with Artificial Intelligence ER - | |||
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICTAI.2007.68
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 prob- lem that is solved by using binary integer programming, and (iii) 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 prob- lems compared to previous approaches and to provide solu- tions of higher quality.
Citation:
Aris Gkoulalas-Divanis, Vassilios S. Verykios, "A Hybrid Approach to Frequent Itemset Hiding," ictai, vol. 1, pp.297-304, 19th IEEE International Conference on Tools with Artificial Intelligence - Vol.1 (ICTAI 2007), 2007
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