MOSAR: A Multi-Objective Strategy for Hiding Sensitive Association Rules Using Genetic Algorithm
Author:
Affiliation:
1. Faculty of Computer and Information Technology Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran
2. Faculty of Mathematics, Statistics and Computer Science, University of Tehran, Tehran, Iran
Funder
Iranian National Science Foundation (INSF)
Publisher
Informa UK Limited
Subject
Artificial Intelligence
Link
https://www.tandfonline.com/doi/pdf/10.1080/08839514.2016.1268038
Reference20 articles.
1. MODENAR: Multi-objective differential evolution algorithm for mining numeric association rules
2. Mining high coherent association rules with consideration of support measure
3. Do Suppliers Benefit from Collaborative Relationships with Large Retailers? An Empirical Investigation of Efficient Consumer Response Adoption
4. A Novel Method for Privacy Preserving in Association Rule Mining Based on Genetic Algorithms
5. A multi-objective genetic algorithm approach to rule mining for affective product design
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