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The Scientific World Journal
Volume 2014, Article ID 235837, 12 pages
http://dx.doi.org/10.1155/2014/235837
Research Article

Reducing Side Effects of Hiding Sensitive Itemsets in Privacy Preserving Data Mining

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
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

Received 16 January 2014; Accepted 26 February 2014; Published 10 April 2014

Academic Editors: T. Cao and M. Ivanovic

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, Tzung-Pei Hong, and Hung-Chuan Hsu, “Reducing Side Effects of Hiding Sensitive Itemsets in Privacy Preserving Data Mining,” The Scientific World Journal, vol. 2014, Article ID 235837, 12 pages, 2014. https://doi.org/10.1155/2014/235837.