Preserving Privacy in Association Rule Mining Using Metaheuristic-Based Algorithms: A Systematic Literature Review
Author:
Affiliation:
1. Department of Computer Science, College of Computer and Information Systems, Umm Al-Qura University, Makkah, Saudi Arabia
Funder
Deanship for Research & Innovation, Ministry of Education, Saudi Arabia
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/6287639/10380310/10422999.pdf?arnumber=10422999
Reference87 articles.
1. Privacy-preserving association rule mining for horizontally partitioned healthcare data: a case study on the heart diseases
2. Privacy Preserving Data Mining Framework for Negative Association Rules: An Application to Healthcare Informatics
3. Federated Cox Proportional Hazards Model with multicentric privacy-preserving LASSO feature selection for survival analysis from the perspective of personalized medicine
4. An integrated method for hiding sensitive association rules of the supply chains
5. Improved Malware Detection Model with Apriori Association Rule and Particle Swarm Optimization
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