title: A GA-based approach to hide sensitive high utility itemsets.
abstract: 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.
authors.affiliation: Innovative Information Industry Research Center, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen 518055, China ; Shenzhen Key Laboratory of Internet Information Collaboration, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen 518055, China.
authors.forename: Chun-Wei
authors.identifier: 0000-0001-8768-9709
authors.initials: CW
authors.lastname: Lin
authors.affiliation: Department of Computer Science and Information Engineering, National University of Kaohsiung, Kaohsiung 811, Taiwan ; Department of Computer Science and Engineering, National Sun Yat-sen University, Kaohsiung 804, Taiwan.
authors.forename: Tzung-Pei
authors.identifier: 0000-0001-7305-6492
authors.initials: TP
authors.lastname: Hong
authors.affiliation: Department of Computer Science and Engineering, National Sun Yat-sen University, Kaohsiung 804, Taiwan.
authors.forename: Jia-Wei
authors.initials: JW
authors.lastname: Wong
authors.affiliation: Department of Mathematics and Computer Sciences, Fuqing Branch of Fujian Normal University, Fuzhou, Fujian 350300, China.
authors.forename: Guo-Cheng
authors.initials: GC
authors.lastname: Lan
authors.affiliation: Department of Computer Science and Information Engineering, National University of Kaohsiung, Kaohsiung 811, Taiwan.
authors.forename: Wen-Yang
authors.identifier: 0000-0003-3462-7744
authors.initials: WY
authors.lastname: Lin