An animal dynamic migration optimization method for directional association rule mining
作者：
Highlights：
• A heuristic optimization method is proposed to mine association rules directionally.
• Valuable rules can be identified in advance to reduce computational consumption.
• The population size value is dynamically generated without manually setting.
• The proposed method has been tested on 11 real datasets and a real case.
• The proposed method has been compared with the latest methods.
摘要
•A heuristic optimization method is proposed to mine association rules directionally.•Valuable rules can be identified in advance to reduce computational consumption.•The population size value is dynamically generated without manually setting.•The proposed method has been tested on 11 real datasets and a real case.•The proposed method has been compared with the latest methods.
论文关键词：Association rule,Directional rule mining,Animal dynamic migration optimization,Particle swarm optimization (PSO),Apriori algorithm
论文评审过程：Received 24 October 2021, Revised 25 July 2022, Accepted 16 August 2022, Available online 21 August 2022, Version of Record 31 August 2022.
论文官网地址：https://doi.org/10.1016/j.eswa.2022.118617
