Association rule hiding using cuckoo optimization algorithm
作者：
Highlights：
• We use Cuckoo Optimization Algorithm for hiding sensitive association rules.
• A preprocess is defined that causes speedy access to the optimal solution.
• Introducing three fitness functions with minimum side effects.
• An immigration algorithm is defined to escape from local optimums.
• For efficiency assessment, the algorithm is examined on real and synthetic data.
摘要
•We use Cuckoo Optimization Algorithm for hiding sensitive association rules.•A preprocess is defined that causes speedy access to the optimal solution.•Introducing three fitness functions with minimum side effects.•An immigration algorithm is defined to escape from local optimums.•For efficiency assessment, the algorithm is examined on real and synthetic data.
论文关键词：Data mining,Privacy preserving data mining,Association rule hiding,Cuckoo optimization algorithm
论文评审过程：Received 25 December 2015, Revised 27 May 2016, Accepted 1 August 2016, Available online 2 August 2016, Version of Record 5 August 2016.
论文官网地址：https://doi.org/10.1016/j.eswa.2016.08.005
