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The Scientific World Journal
Volume 2014 (2014), Article ID 398269, 13 pages
http://dx.doi.org/10.1155/2014/398269
Research Article

Efficiently Hiding Sensitive Itemsets with Transaction Deletion Based on Genetic Algorithms

1Innovative Information Industry Research Center (IIIRC), School of Computer Science and Technology, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen 518055, China
2Shenzhen Key Laboratory of Internet Information Collaboration, School of Computer Science and Technology, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen 518055, China
3Medical School, Shenzhen University, Shenzhen 518060, China
4Department of Computer Science and Information Engineering, National University of Kaohsiung, Kaohsiung 811, Taiwan
5Department of Computer Science and Engineering, National Sun Yat-sen University, Kaohsiung 804, Taiwan

Received 28 May 2014; Revised 7 August 2014; Accepted 8 August 2014; Published 1 September 2014

Academic Editor: Shifei Ding

Copyright © 2014 Chun-Wei Lin et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Chun-Wei Lin, Binbin Zhang, Kuo-Tung Yang, and Tzung-Pei Hong, “Efficiently Hiding Sensitive Itemsets with Transaction Deletion Based on Genetic Algorithms,” The Scientific World Journal, vol. 2014, Article ID 398269, 13 pages, 2014. doi:10.1155/2014/398269