基于改进遗传算法与Apriori算法的岸桥机械关联规则挖掘

Mining Based on Improved Genetic Algorithm and Apriori Algorithm Quayside Machinery Association Rules

基于对传统遗传算法的关联规则挖掘,提出了改进型遗传算法。该算法提出了一种自适应变异率方法,并改进了个体选择方法。最后,将其应用到岸桥机械数据关联规则挖掘中进行实验,并用Apriori算法验证了该方法的高效性和可靠性。

Based on the traditional genetic algorithmmining association rules proposed improved genetic algorithms.The genetic algorithm is an adaptive mutation rate method,and improved individual selection. Finally, apply it to the quaymechanical data mining association rules experiment and verify theefficiency and reliability of the methods used in Apriori algorithm.