A GA-Based Approach to Hide Sensitive High Utility Itemsets

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...

Full description

Saved in:
Bibliographic Details
Main Authors: Chun-Wei Lin, Tzung-Pei Hong, Jia-Wei Wong, Guo-Cheng Lan, Wen-Yang Lin
Format: Article
Language:English
Published: Wiley 2014-01-01
Series:The Scientific World Journal
Online Access:http://dx.doi.org/10.1155/2014/804629
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1849308950484221952
author Chun-Wei Lin
Tzung-Pei Hong
Jia-Wei Wong
Guo-Cheng Lan
Wen-Yang Lin
author_facet Chun-Wei Lin
Tzung-Pei Hong
Jia-Wei Wong
Guo-Cheng Lan
Wen-Yang Lin
author_sort Chun-Wei Lin
collection DOAJ
description 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.
format Article
id doaj-art-0bc02eb2d38d4c7c9bee6067d7af3356
institution Kabale University
issn 2356-6140
1537-744X
language English
publishDate 2014-01-01
publisher Wiley
record_format Article
series The Scientific World Journal
spelling doaj-art-0bc02eb2d38d4c7c9bee6067d7af33562025-08-20T03:54:19ZengWileyThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/804629804629A GA-Based Approach to Hide Sensitive High Utility ItemsetsChun-Wei Lin0Tzung-Pei Hong1Jia-Wei Wong2Guo-Cheng Lan3Wen-Yang Lin4Innovative Information Industry Research Center, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen 518055, ChinaDepartment of Computer Science and Information Engineering, National University of Kaohsiung, Kaohsiung 811, TaiwanDepartment of Computer Science and Engineering, National Sun Yat-sen University, Kaohsiung 804, TaiwanDepartment of Mathematics and Computer Sciences, Fuqing Branch of Fujian Normal University, Fuzhou, Fujian 350300, ChinaDepartment of Computer Science and Information Engineering, National University of Kaohsiung, Kaohsiung 811, TaiwanA 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.http://dx.doi.org/10.1155/2014/804629
spellingShingle Chun-Wei Lin
Tzung-Pei Hong
Jia-Wei Wong
Guo-Cheng Lan
Wen-Yang Lin
A GA-Based Approach to Hide Sensitive High Utility Itemsets
The Scientific World Journal
title A GA-Based Approach to Hide Sensitive High Utility Itemsets
title_full A GA-Based Approach to Hide Sensitive High Utility Itemsets
title_fullStr A GA-Based Approach to Hide Sensitive High Utility Itemsets
title_full_unstemmed A GA-Based Approach to Hide Sensitive High Utility Itemsets
title_short A GA-Based Approach to Hide Sensitive High Utility Itemsets
title_sort ga based approach to hide sensitive high utility itemsets
url http://dx.doi.org/10.1155/2014/804629
work_keys_str_mv AT chunweilin agabasedapproachtohidesensitivehighutilityitemsets
AT tzungpeihong agabasedapproachtohidesensitivehighutilityitemsets
AT jiaweiwong agabasedapproachtohidesensitivehighutilityitemsets
AT guochenglan agabasedapproachtohidesensitivehighutilityitemsets
AT wenyanglin agabasedapproachtohidesensitivehighutilityitemsets
AT chunweilin gabasedapproachtohidesensitivehighutilityitemsets
AT tzungpeihong gabasedapproachtohidesensitivehighutilityitemsets
AT jiaweiwong gabasedapproachtohidesensitivehighutilityitemsets
AT guochenglan gabasedapproachtohidesensitivehighutilityitemsets
AT wenyanglin gabasedapproachtohidesensitivehighutilityitemsets