Data Mining and Simulation Analysis of Aircraft Control System Based on Apriori Algorithm

Abstract

Data mining is one of the hot issues in the field of database research in recent years. Association rules analysis is one of the key technologies in data mining. Apriori algorithm is one of the main algorithms of association analysis, which is mainly used to find all the frequent itemsets in the database, and then generates association rules by frequent itemsets. This article intelligently handles a large number of aircraft control system experimental data, using apriori algorithm as the experimental data analysis technique, mining association rules from a large amount of experimental data, and extracting design experience that facilitates judgment and comparison, to improvie the efficiency and speed of control system design. Through simulation analysis, the results show that data mining of aircraft control system based on apriori algorithm is effective.