Association rule hiding based on evolutionary multi-objective optimization-Reference-Cited by-同舟云学术

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Association rule hiding based on evolutionary multi-objective optimization

Published:2016-04-20 Issue:3 Volume:20 Page:495-514
ISSN:1088-467X
Container-title:Intelligent Data Analysis
language:
Short-container-title:IDA

Author:

Cheng Peng¹²,Lee Ivan³,Lin Chun-Wei¹,Pan Jeng-Shyang¹⁴

Affiliation:

1. Shenzhen Graduate School, Harbin Institute of Technology, Shenzhen, Guangdong, China

2. School of Computer and Information Science, Southwest University, Chongqing, China

3. School of IT and Mathematical Sciences, University of South Australia, South Australia, Australia

4. College of Information Science and Engineering, Fujian University of Technology, Fuzhou, Fujian, China

Publisher

IOS Press

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Theoretical Computer Science

Reference35 articles.

1. Maximizing accuracy of shared databases when concealing sensitive patterns;Menon;Information Systems Research,2005

2. Association rule hiding;Verykios;IEEE Transactions on Knowledge and Data Engineering,2004

3. A framework for evaluating privacy preserving data mining algorithms;Bertino;Data Mining and Knowledge Discovery,2005

4. Dare to share: Protecting sensitive knowledge with data sanitization;Amiri;Decision Support Systems,2007

5. Exact knowledge hiding through database extension;Gkoulalas-Divanis;IEEE Transactions on Knowledge and Data Engineering,2009

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4. Hiding sensitive association rules using the optimal electromagnetic optimization method and a dynamic bit vector data structure;Expert Systems with Applications;2021-08

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