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The Scientific World Journal
Volume 2014, Article ID 804629, 12 pages
Research Article

A GA-Based Approach to Hide Sensitive High Utility Itemsets

1Innovative Information Industry Research Center, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen 518055, China
2Shenzhen Key Laboratory of Internet Information Collaboration, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen 518055, China
3Department of Computer Science and Information Engineering, National University of Kaohsiung, Kaohsiung 811, Taiwan
4Department of Computer Science and Engineering, National Sun Yat-sen University, Kaohsiung 804, Taiwan
5Department of Mathematics and Computer Sciences, Fuqing Branch of Fujian Normal University, Fuzhou, Fujian 350300, China

Received 29 August 2013; Accepted 11 December 2013; Published 3 March 2014

Academic Editors: J. Shu and F. Yu

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.


A GA-based privacy preserving utility mining method is proposed to find appropriate transactions to be inserted into the database for hiding sensitive high utility itemsets. It maintains the low information loss while providing information to the data demanders and protects the high-risk information in the database. A flexible evaluation function with three factors is designed in the proposed approach to evaluate whether the processed transactions are required to be inserted. Three different weights are, respectively, assigned to the three factors according to users. Moreover, the downward closure property and the prelarge concept are adopted in the proposed approach to reduce the cost of rescanning database, thus speeding up the evaluation process of chromosomes.